From 517ab7d6661518414926d996642a08a71d93de27 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 11:32:32 +0200 Subject: [PATCH 001/146] futurize --stage1 on all py files --- bin/DDplan.py | 39 +- bin/GBNCC_search.py | 27 +- bin/GBT350_drift_prep.py | 33 +- bin/GBT350_drift_search.py | 13 +- bin/GUPPI_drift_prep.py | 45 +- bin/PALFA_presto_search.py | 11 +- bin/dat2tim.py | 3 +- bin/downsample_filterbank.py | 5 +- bin/event_peak.py | 27 +- bin/fb_truncate.py | 15 +- bin/filter_zerolags.py | 5 +- bin/fit_circular_orbit.py | 23 +- bin/fitorb.py | 65 +- bin/get_TOAs.py | 8 +- bin/guppidrift2fil.py | 31 +- bin/injectpsr.py | 47 +- bin/make_spd.py | 3 +- bin/makezaplist.py | 19 +- bin/orbellipsefit.py | 89 +- bin/pfd_for_timing.py | 5 +- bin/plot_spd.py | 5 +- bin/powerstats.py | 85 +- bin/psrfits2fil.py | 29 +- bin/psrfits_quick_bandpass.py | 17 +- bin/pulsestack.py | 121 +-- bin/pygaussfit.py | 41 +- bin/pyplotres.py | 101 +- bin/quickffdots.py | 23 +- bin/rrattrap.py | 9 +- bin/single_pulse_search.py | 17 +- bin/sortwappfiles.py | 7 +- bin/subband_smearing.py | 5 +- bin/sum_profiles.py | 43 +- bin/tim2dat.py | 18 +- lib/python/Pgplot.py | 11 +- lib/python/barycenter.py | 32 +- lib/python/binary_psr.py | 5 +- lib/python/cosine_rand.py | 3 +- lib/python/events.py | 11 +- lib/python/filterbank.py | 11 +- lib/python/injectpsr.py | 1270 ++++++++++++++++++++++- lib/python/kuiper.py | 12 +- lib/python/mpfit.py | 43 +- lib/python/parfile.py | 3 +- lib/python/polycos.py | 2 +- lib/python/prepfold.py | 71 +- lib/python/psr_utils.py | 137 +-- lib/python/psrfits.py | 11 +- lib/python/pypsrcat.py | 9 +- lib/python/residuals.py | 3 +- lib/python/rfifind.py | 27 +- lib/python/sifting.py | 99 +- lib/python/sigproc.py | 19 +- lib/python/simple_roots.py | 27 +- lib/python/sinc_interp.py | 7 +- lib/python/singlepulse/bary_and_topo.py | 7 +- lib/python/singlepulse/make_spd.py | 569 +++++++++- lib/python/singlepulse/plot_spd.py | 530 +++++++++- lib/python/singlepulse/rrattrap.py | 825 ++++++++++++++- lib/python/singlepulse/sp_pgplot.py | 3 +- lib/python/singlepulse/spcand.py | 3 +- lib/python/singlepulse/spio.py | 9 +- python/binopttest/bindata.py | 19 +- python/binopttest/comb.py | 27 +- python/binopttest/montebinopt.py | 49 +- python/binresponses/monte_ffdot.py | 29 +- python/binresponses/monte_short.py | 11 +- python/binresponses/monte_sideb.py | 35 +- python/binresponses/montebinresp.py | 57 +- python/concatdata.py | 65 +- python/dedisp.py | 3 +- python/ffdot_example.py | 3 +- python/fftfit_src/test_fftfit.py | 3 +- python/pdm2raw.py | 9 +- python/ppdot_plane_plot.py | 19 +- python/presto_src/__init__.py | 55 +- python/setup.py | 11 +- python/setup_ppgplot.py | 7 +- python/show_zresp.py | 3 +- python/testcorr.py | 9 +- tests/python/cvec.py | 13 +- 81 files changed, 4244 insertions(+), 976 deletions(-) mode change 120000 => 100755 lib/python/injectpsr.py mode change 120000 => 100755 lib/python/singlepulse/make_spd.py mode change 120000 => 100755 lib/python/singlepulse/plot_spd.py mode change 120000 => 100755 lib/python/singlepulse/rrattrap.py diff --git a/bin/DDplan.py b/bin/DDplan.py index fd64052a0..869aaa344 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function from numpy import * from Pgplot import * @@ -224,36 +225,36 @@ def dm_steps(loDM, hiDM, obs, cohdm=0.0, numsub=0, ok_smearing=0.0, device="/XWI # Minimum smearing across the obs.BW min_BW_smearing = BW_smear(dDM, obs.BW, obs.f_ctr) - print - print "Minimum total smearing : %.3g ms" % min_tot_smearing - print "--------------------------------------------" - print "Minimum channel smearing : %.3g ms" % min_chan_smearing - print "Minimum smearing across BW : %.3g ms" % min_BW_smearing - print "Minimum sample time : %.3g ms" % dtms - print + print() + print("Minimum total smearing : %.3g ms" % min_tot_smearing) + print("--------------------------------------------") + print("Minimum channel smearing : %.3g ms" % min_chan_smearing) + print("Minimum smearing across BW : %.3g ms" % min_BW_smearing) + print("Minimum sample time : %.3g ms" % dtms) + print() ok_smearing = max([ok_smearing, min_chan_smearing, min_BW_smearing, dtms]) - print "Setting the new 'best' resolution to : %.3g ms" % ok_smearing + print("Setting the new 'best' resolution to : %.3g ms" % ok_smearing) # See if the data is too high time resolution for our needs if (ff*min_chan_smearing > dtms or ok_smearing > dtms): if (ok_smearing > ff*min_chan_smearing): - print " Note: ok_smearing > dt (i.e. data is higher resolution than needed)" + print(" Note: ok_smearing > dt (i.e. data is higher resolution than needed)") okval = ok_smearing else: - print " Note: min_chan_smearing > dt (i.e. data is higher resolution than needed)" + print(" Note: min_chan_smearing > dt (i.e. data is higher resolution than needed)") okval = ff*min_chan_smearing while (dtms*allow_downsamps[index_downsamps+1] < okval): index_downsamps += 1 downsamp = allow_downsamps[index_downsamps] - print " New dt is %d x %.12g ms = %.12g ms" % \ - (downsamp, dtms, dtms*downsamp) + print(" New dt is %d x %.12g ms = %.12g ms" % \ + (downsamp, dtms, dtms*downsamp)) # Calculate the appropriate initial dDM dDM = guess_DMstep(obs.dt*downsamp, obs.BW, obs.f_ctr) - print "Best guess for optimal initial dDM is %.3f" % dDM + print("Best guess for optimal initial dDM is %.3f" % dDM) while (allow_dDMs[index_dDMs+1] < ff*dDM): index_dDMs += 1 @@ -344,17 +345,17 @@ def dm_steps(loDM, hiDM, obs, cohdm=0.0, numsub=0, ok_smearing=0.0, device="/XWI ppgplot.pgsci(11) if (numsub): - print "\n Low DM High DM dDM DownSamp dsubDM #DMs DMs/call calls WorkFract" + print("\n Low DM High DM dDM DownSamp dsubDM #DMs DMs/call calls WorkFract") else: - print "\n Low DM High DM dDM DownSamp #DMs WorkFract" + print("\n Low DM High DM dDM DownSamp #DMs WorkFract") for method, fract in zip(methods, work_fracts): - print method, " %.4g" % fract + print(method, " %.4g" % fract) method.plot(fract) - print "\n\n" + print("\n\n") closeplot() def usage(): - print """ + print(""" usage: DDplan.py [options] [-h, --help] : Display this help [-o outfile, --outfile=outfile] : Output .eps plot file (default is xwin) @@ -370,7 +371,7 @@ def usage(): The program generates a good plan for de-dispersing raw data. It trades a small amount of sensitivity in order to save computation costs. -""" +""") if __name__=='__main__': import getopt, sys diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index afb81ede3..298827268 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -227,30 +228,30 @@ def remove_crosslist_duplicate_candidates(candlist1,candlist2): removelist2 = [] candlist2.sort(sifting.cmp_freq) candlist1.sort(sifting.cmp_freq) - print " Searching for crosslist dupes..." + print(" Searching for crosslist dupes...") ii = 0 while ii < n1: jj=0 while jj < n2: if numpy.fabs(candlist1[ii].r-candlist2[jj].r) < sifting.r_err: if sifting.cmp_sigma(candlist1[ii],candlist2[jj])<0: - print "Crosslist remove from candlist 2, %f > %f, %d:%f~%f" % (candlist1[ii].sigma,candlist2[jj].sigma,jj,candlist1[ii].r,candlist2[jj].r) + print("Crosslist remove from candlist 2, %f > %f, %d:%f~%f" % (candlist1[ii].sigma,candlist2[jj].sigma,jj,candlist1[ii].r,candlist2[jj].r)) if jj not in removelist2: removelist2.append(jj) else: - print "Crosslist remove from candlist 1, %f > %f, %d:%f~%f" % (candlist2[jj].sigma,candlist1[ii].sigma,ii,candlist1[ii].r,candlist2[jj].r) + print("Crosslist remove from candlist 1, %f > %f, %d:%f~%f" % (candlist2[jj].sigma,candlist1[ii].sigma,ii,candlist1[ii].r,candlist2[jj].r)) if ii not in removelist1: removelist1.append(ii) jj += 1 ii += 1 for ii in range(len(removelist2)-1,-1,-1): - print "Removing %d from candlist2" % removelist2[ii] + print("Removing %d from candlist2" % removelist2[ii]) del(candlist2[removelist2[ii]]) for ii in range(len(removelist1)-1,-1,-1): - print "Removing %d from candlist1" % removelist1[ii] + print("Removing %d from candlist1" % removelist1[ii]) del(candlist1[removelist1[ii]]) - print "Removed %d crosslist candidates\n" % (len(removelist1)+len(removelist2)) - print "Found %d candidates. Sorting them by significance...\n" % (len(candlist1)+len(candlist2)) + print("Removed %d crosslist candidates\n" % (len(removelist1)+len(removelist2))) + print("Found %d candidates. Sorting them by significance...\n" % (len(candlist1)+len(candlist2))) candlist1.sort(sifting.cmp_sigma) candlist2.sort(sifting.cmp_sigma) return candlist1,candlist2 @@ -264,7 +265,7 @@ def main(fits_filenm, workdir, ddplans): # Get information on the observation and the job job = obs_info(fits_filenm) if job.raw_T < low_T_to_search: - print "The observation is too short (%.2f s) to search."%job.raw_T + print("The observation is too short (%.2f s) to search."%job.raw_T) sys.exit() job.total_time = time.time() if job.dt == 163.84: @@ -287,8 +288,8 @@ def main(fits_filenm, workdir, ddplans): os.makedirs(tmpdir) except: pass - print "\nBeginning GBNCC search of '%s'"%job.fits_filenm - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nBeginning GBNCC search of '%s'"%job.fits_filenm) + print("UTC time is: %s"%(time.asctime(time.gmtime()))) rfifindout=job.basefilenm+"_rfifind.out" rfifindmask=job.basefilenm+"_rfifind.mask" @@ -528,8 +529,8 @@ def main(fits_filenm, workdir, ddplans): # And finish up job.total_time = time.time() - job.total_time - print "\nFinished" - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nFinished") + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # Write the job report @@ -587,4 +588,4 @@ def main(fits_filenm, workdir, ddplans): fits_filenm = sys.argv[1] main(fits_filenm, '.', ddplans) else: - print "GBNCC_search.py fits_filenm [workdir]" + print("GBNCC_search.py fits_filenm [workdir]") diff --git a/bin/GBT350_drift_prep.py b/bin/GBT350_drift_prep.py index ebcdfe827..2d4a37558 100755 --- a/bin/GBT350_drift_prep.py +++ b/bin/GBT350_drift_prep.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, os, random, sigproc import psr_utils as pu @@ -16,10 +17,10 @@ def spigot_samples_per_file(spigot_filenm): if __name__=="__main__": if (len(sys.argv) < 3): - print "usage: GBT350_drift_prep.py NUM spigot_fits_files" - print " NUM is the 'beam' number in the scan. It starts " - print " with 0 and goes to NMAX. If NUM is < 0, NMAX" - print " is sent to STDOUT by the program." + print("usage: GBT350_drift_prep.py NUM spigot_fits_files") + print(" NUM is the 'beam' number in the scan. It starts ") + print(" with 0 and goes to NMAX. If NUM is < 0, NMAX") + print(" is sent to STDOUT by the program.") sys.exit() orig_N = 1728000 # Number of samples to analyze at a time (~141 sec) @@ -35,19 +36,19 @@ def spigot_samples_per_file(spigot_filenm): for ii in range(numinfiles): samps = spigot_samples_per_file(infilenms[ii]) if ((samps < nom_samps_per_file) and (ii < numinfiles-1)): - print "Warning! '%s' only has %d samples!"%\ - (infilenms[ii], samps) - print " You need to fix that file!" + print("Warning! '%s' only has %d samples!"%\ + (infilenms[ii], samps)) + print(" You need to fix that file!") sys.exit(-1) samples_per_file.append(samps) total_samples = sum(samples_per_file) num = int(sys.argv[1]) nmax = total_samples/overlap_samples-1 if num < 0: - print nmax + print(nmax) sys.exit(0) if num > nmax: - print "NUM > NMAX (%d)! Exiting!"%nmax + print("NUM > NMAX (%d)! Exiting!"%nmax) sys.exit(-1) # Now figure out which file is the first @@ -65,12 +66,12 @@ def spigot_samples_per_file(spigot_filenm): if ((raw_N - first_file_samples) % nom_samps_per_file): numfiles += 1 if debug: - print "first_filenum = ", ii - print "1st sample = ", first_sample - print "1st filenam = ", infilenms[ii] - print "skip = ", skip - print "1st_file_samps = ", first_file_samples - print "numfiles = ", numfiles + print("first_filenum = ", ii) + print("1st sample = ", first_sample) + print("1st filenam = ", infilenms[ii]) + print("skip = ", skip) + print("1st_file_samps = ", first_file_samples) + print("numfiles = ", numfiles) break else: accum_samples += samples_per_file[ii] @@ -97,7 +98,7 @@ def spigot_samples_per_file(spigot_filenm): str_coords += "".join(dec_string.split(":")[:2]) filfilenm = "GBT350drift_%d_%s.fil" % (MJDi, str_coords) os.rename(tmpfilenm, filfilenm) - print "Renamed '%s' to '%s'." % (tmpfilenm, filfilenm) + print("Renamed '%s' to '%s'." % (tmpfilenm, filfilenm)) diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index ab101b365..ec9097fcf 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -227,7 +228,7 @@ def main(fil_filenm, workdir, ddplans): # Get information on the observation and the job job = obs_info(fil_filenm) if job.raw_T < low_T_to_search: - print "The observation is too short (%.2f s) to search."%job.raw_T + print("The observation is too short (%.2f s) to search."%job.raw_T) sys.exit() job.total_time = time.time() ddplans = ddplans[job.nchans] @@ -247,8 +248,8 @@ def main(fil_filenm, workdir, ddplans): os.makedirs(tmpdir) except: pass - print "\nBeginning GBT350 driftscan search of '%s'"%job.fil_filenm - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nBeginning GBT350 driftscan search of '%s'"%job.fil_filenm) + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # rfifind the filterbank file cmd = "rfifind -time %.17g -o %s %s > %s_rfifind.out"%\ @@ -479,8 +480,8 @@ def main(fil_filenm, workdir, ddplans): # And finish up job.total_time = time.time() - job.total_time - print "\nFinished" - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nFinished") + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # Write the job report @@ -578,4 +579,4 @@ def main(fil_filenm, workdir, ddplans): fil_filenm = sys.argv[1] main(fil_filenm, '.', ddplans) else: - print "GBT350_drift_search.py fil_filenm [workdir]" + print("GBT350_drift_search.py fil_filenm [workdir]") diff --git a/bin/GUPPI_drift_prep.py b/bin/GUPPI_drift_prep.py index 747babf65..12795029e 100755 --- a/bin/GUPPI_drift_prep.py +++ b/bin/GUPPI_drift_prep.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, os, random, sigproc import psr_utils as pu import pyfits @@ -24,49 +25,49 @@ def guppi_time_per_subint(guppi_filenm): if __name__=="__main__": if (len(sys.argv) < 3): - print "usage: GUPPI_drift_prep.py NUM guppi_fits_files" - print " NUM is the 'beam' number in the scan. It starts " - print " with 0 and goes to NMAX. If NUM is < 0, NMAX" - print " is sent to STDOUT by the program." + print("usage: GUPPI_drift_prep.py NUM guppi_fits_files") + print(" NUM is the 'beam' number in the scan. It starts ") + print(" with 0 and goes to NMAX. If NUM is < 0, NMAX") + print(" is sent to STDOUT by the program.") sys.exit() new_obs_length = 141 #approximate number of seconds we want the new #observations to last infilenms = sys.argv[2:] - print len(infilenms) + print(len(infilenms)) time_subint = guppi_time_per_subint(infilenms[0]) orig_N = int(math.floor(new_obs_length / time_subint)) # Number of subints to analyze at a time (~141 sec) - print orig_N + print(orig_N) raw_N = orig_N # Number of subints to step through .fits files overlap_factor = 0.5 # Overlap each orig_N samples by this fraction overlap_subints = int(orig_N * overlap_factor) - print overlap_subints + print(overlap_subints) nom_subint_per_file = 320 # Now see how much data we have to work with subints_per_file = [] numinfiles = len(infilenms) - print numinfiles + print(numinfiles) for ii in range(numinfiles): subints = guppi_subint_per_file(infilenms[ii]) if ((subints < nom_subint_per_file) and (ii < numinfiles-1)): - print "Warning! '%s' only has %d samples!"%\ - (infilenms[ii], ubints) - print " You need to fix that file!" + print("Warning! '%s' only has %d samples!"%\ + (infilenms[ii], ubints)) + print(" You need to fix that file!") sys.exit(-1) subints_per_file.append(subints) total_subints = sum(subints_per_file) - print total_subints + print(total_subints) num = int(sys.argv[1]) nmax = total_subints/overlap_subints-1 if num < 0: - print nmax + print(nmax) sys.exit(0) if num > nmax: - print "NUM > NMAX (%d)! Exiting!"%nmax + print("NUM > NMAX (%d)! Exiting!"%nmax) sys.exit(-1) # Now figure out which file is the first @@ -84,12 +85,12 @@ def guppi_time_per_subint(guppi_filenm): if ((raw_N - first_file_subints) % nom_subint_per_file): numfiles += 1 if debug: - print "first_filenum = ", ii - print "1st subint = ", first_subint - print "1st filenam = ", infilenms[ii] - print "skip = ", skip - print "1st_file_samps = ", first_file_subints - print "numfiles = ", numfiles + print("first_filenum = ", ii) + print("1st subint = ", first_subint) + print("1st filenam = ", infilenms[ii]) + print("skip = ", skip) + print("1st_file_samps = ", first_file_subints) + print("numfiles = ", numfiles) break else: accum_subints += subints_per_file[ii] @@ -100,7 +101,7 @@ def guppi_time_per_subint(guppi_filenm): (skip, raw_N, tmpfilenm) for goodfile in infilenms[ii:ii+numfiles]: cmd += "%s "%goodfile - print cmd + print(cmd) os.system(cmd) # Now read the header to determine what the correct filename @@ -117,7 +118,7 @@ def guppi_time_per_subint(guppi_filenm): str_coords += "".join(dec_string.split(":")[:2]) filfilenm = "GBT350drift_%d_%s.fil" % (MJDi, str_coords) os.rename(tmpfilenm, filfilenm) - print "Renamed '%s' to '%s'." % (tmpfilenm, filfilenm) + print("Renamed '%s' to '%s'." % (tmpfilenm, filfilenm)) diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index 4daba7546..849fe4852 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import glob, os, os.path, shutil, socket, struct, sys, time, tarfile import numpy, psr_utils, presto, sifting, sigproc @@ -348,7 +349,7 @@ def main(fil_filenm, workdir): # Get information on the observation and the jbo job = obs_info(fil_filenm) if job.T < low_T_to_search: - print "The observation is too short (%.2f s) to search."%job.T + print("The observation is too short (%.2f s) to search."%job.T) sys.exit() job.total_time = time.time() @@ -366,8 +367,8 @@ def main(fil_filenm, workdir): os.makedirs("subbands") except: pass - print "\nBeginning PALFA search of '%s'"%job.fil_filenm - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nBeginning PALFA search of '%s'"%job.fil_filenm) + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # rfifind the filterbank file cmd = "rfifind -time %.17g -o %s %s > %s_rfifind.out"%\ @@ -579,8 +580,8 @@ def main(fil_filenm, workdir): # And finish up job.total_time = time.time() - job.total_time - print "\nFinished" - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nFinished") + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # Write the job report diff --git a/bin/dat2tim.py b/bin/dat2tim.py index 80603f306..07e845f3f 100755 --- a/bin/dat2tim.py +++ b/bin/dat2tim.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import os, struct, presto, sys telescope_ids = {"Fake": 0, "Arecibo": 1, "Ooty": 2, "Nancay": 3, @@ -49,7 +50,7 @@ def infodata_to_sigproc_header(inf): if __name__ == "__main__": if len(sys.argv)==1: - print "\nusage: dat2tim.py file.dat\n" + print("\nusage: dat2tim.py file.dat\n") sys.exit() if sys.argv[1].endswith(".dat"): basefilenm = sys.argv[1][:sys.argv[1].rfind(".dat")] diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index a47e61447..16a270ca9 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -1,10 +1,11 @@ #!/usr/bin/env python +from __future__ import print_function import sys, sigproc import numpy as num if __name__ == "__main__": if len(sys.argv)==1: - print "\nusage: downsample_filterbank_hdr.py DS_fact infile.fil\n" + print("\nusage: downsample_filterbank_hdr.py DS_fact infile.fil\n") sys.exit() DS_fact = int(sys.argv[1]) basefilenm = sys.argv[2][:sys.argv[2].find(".fil")] @@ -45,7 +46,7 @@ infilelen -= infile.tell() numspec = infilelen / nchans if infilelen % nchans: - print "Whoops! File length calculation is not right..." + print("Whoops! File length calculation is not right...") # Now loop over the spectra for ii in xrange(numspec / DS_fact): diff --git a/bin/event_peak.py b/bin/event_peak.py index 1afeb53c1..80007d4a5 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as num import events as evts import sys, kuiper @@ -9,15 +10,15 @@ def calc_phases(events, f, fd): events = num.loadtxt(sys.argv[1]) events.sort() -print "Read %d events from '%s'." % (events.size, sys.argv[1]) +print("Read %d events from '%s'." % (events.size, sys.argv[1])) minT, maxT = events.min(), events.max() events -= minT T = maxT - minT if T > 100: - print "Assuming that the events are in seconds (T = %.1f sec)" % T + print("Assuming that the events are in seconds (T = %.1f sec)" % T) else: events *= 86400.0 - print "Assuming that the events are in days (T = %.3f days)" % T + print("Assuming that the events are in days (T = %.3f days)" % T) T *= 86400.0 fctr = float(sys.argv[2]) @@ -27,9 +28,9 @@ def calc_phases(events, f, fd): dfd = 4.0 / (osamp * T * T) nn = 101 # number of f and fd trials -print "osamp = %d, nn = %d" % (osamp, nn) -print " fd = %g" % df -print "dfd = %g" % dfd +print("osamp = %d, nn = %d" % (osamp, nn)) +print(" fd = %g" % df) +print("dfd = %g" % dfd) n = (nn-1)/2 fs = num.linspace(fctr-n*df, fctr+n*df, nn) @@ -40,7 +41,7 @@ def calc_phases(events, f, fd): minPk = minPh = 1.0 for ii, fd in enumerate(fds): - print ii + print(ii) for jj, f in enumerate(fs): phases = calc_phases(events, f, fd) D, Pk = kuiper.kuiper_uniform_test(phases) @@ -54,21 +55,21 @@ def calc_phases(events, f, fd): if Ph < minPh: minPh, fh, fdh, bestharm = Ph, f, fd, harm -print -print "Min P(kuiper) = %.2e at f = %g, fd = %g" % (minPk, fk, fdk) -print "Min P(h-test) = %.2e at f = %g, fd = %g, (%d harmonics)" % \ - (minPh, fh, fdh, bestharm) +print() +print("Min P(kuiper) = %.2e at f = %g, fd = %g" % (minPk, fk, fdk)) +print("Min P(h-test) = %.2e at f = %g, fd = %g, (%d harmonics)" % \ + (minPh, fh, fdh, bestharm)) sigmas = num.asarray([3.0, 5.0, 7.0]) contours = num.log10(1.0-evts.gauss_sigma_to_prob(sigmas))[::-1] -print "Kuiper" +print("Kuiper") plot2d(num.log10(kuipers), fs, fds, labx="Frequency (Hz)", laby="F-dot (Hz/s)") #contours=contours, color='black', width=6) closeplot() -print "H-test" +print("H-test") plot2d(num.log10(htests), fs, fds, labx="Frequency (Hz)", laby="F-dot (Hz/s)") #contours=contours, color='black') diff --git a/bin/fb_truncate.py b/bin/fb_truncate.py index a312fe9d3..28dda5fea 100755 --- a/bin/fb_truncate.py +++ b/bin/fb_truncate.py @@ -5,6 +5,7 @@ Patrick Lazarus, Aug 27, 2012 """ +from __future__ import print_function import sys import copy @@ -20,7 +21,7 @@ def main(): infn = args[0] - print "Reading filterbank file (%s)" % infn + print("Reading filterbank file (%s)" % infn) fil = filterbank.FilterbankFile(infn) if options.start_time is None: startbin = 0 @@ -67,15 +68,15 @@ def main(): raise ValueError("Bad number of channels to be written (%d). " \ "Check lo/hi frequencies." % new_nchans) - print "Will extract" - print " %d bins (%d to %d incl.)" % (new_nspec, startbin, endbin-1) - print " (Original num bins: %d)" % fil.nspec - print " %d channels (%d to %d incl.)" % (new_nchans, lochan, hichan-1) - print " (Original num chans: %d)" % fil.nchans + print("Will extract") + print(" %d bins (%d to %d incl.)" % (new_nspec, startbin, endbin-1)) + print(" (Original num bins: %d)" % fil.nspec) + print(" %d channels (%d to %d incl.)" % (new_nchans, lochan, hichan-1)) + print(" (Original num chans: %d)" % fil.nchans) # Create output file outfn = options.outname % fil.header - print "Creating out file: %s" % outfn + print("Creating out file: %s" % outfn) outhdr = copy.deepcopy(fil.header) outhdr['nchans'] = new_nchans outhdr['fch1'] = fil.frequencies[lochan] diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index d46d25b56..4e4c5dd20 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as N import sys, scipy.io, scipy.signal @@ -69,10 +70,10 @@ break_points = break_points[:num_bps] break_points.sort() detrend_zls = scipy.signal.detrend(zls, bp=break_points) - print "%s: Found %d breakpoints for detrending "%(basename, num_bps), break_points + print("%s: Found %d breakpoints for detrending "%(basename, num_bps), break_points) else: detrend_zls = scipy.signal.detrend(zls) - print "%s: Found 0 breakpoints for detrending"%basename + print("%s: Found 0 breakpoints for detrending"%basename) # Now high-pass filter the data to get rid of the not-so-drastic # power fluctuations diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index 758a46417..e137114a7 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as num import psr_utils as pu import parfile, bestprof, sys @@ -29,13 +30,13 @@ def parse_eph(filenm): epoch = x.PEPOCH T = (x.FINISH - x.START) * 86400.0 else: - print "I don't recognize the file type for", filenm + print("I don't recognize the file type for", filenm) sys.exit() newts = epoch + num.arange(int(T/10.0+0.5), dtype=num.float)/8640.0 time = num.concatenate((time, newts)) newps = 1.0 / pu.calc_freq(newts, epoch, *fs) period = num.concatenate((period, newps)) - print "%13.7f (%0.1f sec): " % (epoch, T), fs + print("%13.7f (%0.1f sec): " % (epoch, T), fs) def orbeqn(Ppxt, times): # P = Ppsr, p = Porb, x = a*sin(i)/s, t = T_o @@ -47,7 +48,7 @@ def funct(Ppxt, times, measured): if __name__ == '__main__': if len(sys.argv)==1: - print "\nusage: fit_circular_orbit.py P_psr P_orb X_orb parfiles or bestprofs" + print("\nusage: fit_circular_orbit.py P_psr P_orb X_orb parfiles or bestprofs") exit(0) Ppsr = float(sys.argv[1]) Porb = float(sys.argv[2])*86400.0 @@ -61,17 +62,17 @@ def funct(Ppxt, times, measured): To = ret[0][3] if (ret[0][2] < 0.0): - print "Modifying TO because of negative asini/c..." + print("Modifying TO because of negative asini/c...") ret[0][3] += 0.5 * (ret[0][1]/86400.0) ret[0][2] = abs(ret[0][2]) - print "P_orb = %.3f hrs" % (ret[0][1]/3600.0) - print "P0 %17.15g 1" % ret[0][0] - print "PB %17.15g 1" % (ret[0][1]/86400.0) - print "A1 %17.15g 1" % ret[0][2] - print "T0 %17.15g 1" % ret[0][3] - print "E 0.0" - print "OM 0.0" + print("P_orb = %.3f hrs" % (ret[0][1]/3600.0)) + print("P0 %17.15g 1" % ret[0][0]) + print("PB %17.15g 1" % (ret[0][1]/86400.0)) + print("A1 %17.15g 1" % ret[0][2]) + print("T0 %17.15g 1" % ret[0][3]) + print("E 0.0") + print("OM 0.0") T = max(time)-min(time) model_time = num.arange(min(time)-0.1*T, max(time)+0.1*T, 0.01) diff --git a/bin/fitorb.py b/bin/fitorb.py index 09a2fcaf1..70776a4ce 100755 --- a/bin/fitorb.py +++ b/bin/fitorb.py @@ -3,6 +3,7 @@ """ fitorb: A non-linear optimizer for solving pulsar orbits by Ryan Lynch """ +from __future__ import print_function from numpy import * from mpfit import mpfit @@ -16,7 +17,7 @@ # begin function definitions def print_usage(): - print """ + print(""" A non-linear least-squares optimizer for solving pulsar orbits Usage: fitorb.py [-p p] [-pb pb] [-x x] [-T0 T0] [-e e] [-w w] [-par par_file] [-nofit const_params] bestprof_files @@ -37,7 +38,7 @@ def print_usage(): -o: Root of the output file name(s) (default = "fitorb") bestprof_files: prepfold .bestprof files containing measurements of p and p-dot (and possibly p-ddot) - """ + """) return None @@ -66,7 +67,7 @@ def parse_cmd_line(args): # check to make sure all arguments are valid if (arg.startswith("-")) and (arg not in valid_args) and \ not arg.strip("-").replace(".","").isdigit(): - print "ERROR: Unknown arg %s"%arg + print("ERROR: Unknown arg %s"%arg) print_usage() exit(0) @@ -90,46 +91,46 @@ def parse_cmd_line(args): e = par.E w = par.OM except IOError: - print "ERROR: %s not found\n"%par_file_name + print("ERROR: %s not found\n"%par_file_name) exit(0) except AttributeError: - print "ERROR: %s does not appear to be a valid binary .par file\n" \ - %par_file_name + print("ERROR: %s does not appear to be a valid binary .par file\n" \ + %par_file_name) exit(0) else: try: p = float(args.pop(args.index("-p")+1)) args.remove("-p") except ValueError: - print "ERROR: You must specify a spin period\n" + print("ERROR: You must specify a spin period\n") exit(0) try: pb_days = float(args.pop(args.index("-pb")+1)) args.remove("-pb") except ValueError: - print "ERROR: You must specify an orbital period\n" + print("ERROR: You must specify an orbital period\n") exit(0) try: x = float(args.pop(args.index("-x")+1)) args.remove("-x") except ValueError: - print "ERROR: You must specify a projected semi-major axis\n" + print("ERROR: You must specify a projected semi-major axis\n") exit(0) try: T0 = float(args.pop(args.index("-T0")+1)) args.remove("-T0") except ValueError: - print "ERROR: You must specify a time of periastron passage\n" + print("ERROR: You must specify a time of periastron passage\n") exit(0) try: e = float(args.pop(args.index("-e")+1)) args.remove("-e") except ValueError: - print "WARNING: Orbital eccentricity not specified, assuming e = 0\n" + print("WARNING: Orbital eccentricity not specified, assuming e = 0\n") e = 0.0 const_params = const_params + ",e" pass @@ -138,7 +139,7 @@ def parse_cmd_line(args): w = float(args.pop(args.index("-w")+1)) args.remove("-w") except ValueError: - print "WARNING: Longitude of periastron not specified, assuming w = 0\n" + print("WARNING: Longitude of periastron not specified, assuming w = 0\n") w = 0.0 const_params = const_params + ",w" pass @@ -255,7 +256,7 @@ def get_params_info(params_start, const_params): # upper and low limits (used if "limited" is "True" "limits":[0.9*params_start[0],1.1*params_start[0]], "fixed":True}) # parameter fixed? - print "Holding spin period constant" + print("Holding spin period constant") else: params_info.append({"parname":"p", "value":params_start[0], @@ -269,7 +270,7 @@ def get_params_info(params_start, const_params): "limited":[True,False], "limits":[0.0,0.0], "fixed":True}) - print "Holding orbital period constant" + print("Holding orbital period constant") else: params_info.append({"parname":"pb", "value":params_start[1], @@ -283,7 +284,7 @@ def get_params_info(params_start, const_params): "limited":[True,False], "limits":[0.0,0.0], "fixed":True}) - print "Holding projected semi-major axis constant" + print("Holding projected semi-major axis constant") else: params_info.append({"parname":"x", "value":params_start[2], @@ -298,7 +299,7 @@ def get_params_info(params_start, const_params): "limits":[params_start[3] - params_start[1]/SECPERDAY, params_start[3] + params_start[1]/SECPERDAY], "fixed":True}) - print "Holding time of periastron passage constant" + print("Holding time of periastron passage constant") else: params_info.append({"parname":"T0", "value":params_start[3], @@ -313,7 +314,7 @@ def get_params_info(params_start, const_params): "limited":[True,True], "limits":[0.0,1.0], "fixed":True}) - print "Holding eccentricity constant" + print("Holding eccentricity constant") else: params_info.append({"parname":"e", "value":params_start[4], @@ -327,7 +328,7 @@ def get_params_info(params_start, const_params): "limited":[True,True], "limits":[0.0,360.0], "fixed":True}) - print "Holding longitude of periastron constant" + print("Holding longitude of periastron constant") else: params_info.append({"parname":"w", "value":params_start[5], @@ -351,7 +352,7 @@ def myasarray(a): a - modified python array """ - if type(a) in [type(1.0),type(1L),type(1),type(1j)]: + if type(a) in [type(1.0),type(1),type(1),type(1j)]: a = asarray([a]) if len(a) == 0: a = asarray([a]) @@ -468,7 +469,7 @@ def plot_file_panel(in_file,params): t = minute*60.0 time.append(minute/1440.0) period.append(p0 + t*(p1 + 0.5*t*p2)) - print "Plotting: file, epoch, Tobs",in_file,epoch,T + print("Plotting: file, epoch, Tobs",in_file,epoch,T) period = asarray(period) time = asarray(time) plot(time,period*1000.0,'o') @@ -594,20 +595,20 @@ def funct(params, fjac=None, times=None, measured=None): # do the actual fitting ret = mpfit(funct, functkw={"times":time, "measured":period}, parinfo=params_info, iterfunct=None) -print "\nmpfit exited with status %i (1--4 is OK)\n"%ret.status +print("\nmpfit exited with status %i (1--4 is OK)\n"%ret.status) # print the parameters in a tempo .par file format -print "PEPOCH %17.15g"%epoch -print "P0 %17.15g"%ret.params[0] -print "BINARY BT" -print "A1 %17.15g"%ret.params[2] -print "E %17.15g"%ret.params[4] -print "T0 %17.15g"%(ret.params[3]+0.5*ret.params[0]/SECPERDAY) -print "PB %17.15g"%(ret.params[1]/SECPERDAY) -print "OM %17.15g"%ret.params[5] -print - -print "Generating plots..." +print("PEPOCH %17.15g"%epoch) +print("P0 %17.15g"%ret.params[0]) +print("BINARY BT") +print("A1 %17.15g"%ret.params[2]) +print("E %17.15g"%ret.params[4]) +print("T0 %17.15g"%(ret.params[3]+0.5*ret.params[0]/SECPERDAY)) +print("PB %17.15g"%(ret.params[1]/SECPERDAY)) +print("OM %17.15g"%ret.params[5]) +print() + +print("Generating plots...") # make the plots... diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index 5d48932e8..730d4c6b1 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import struct, getopt, sys, fftfit, psr_utils import numpy as Num from infodata import infodata @@ -273,7 +274,7 @@ def usage(): # Read the polyco file (if required) if (fold.psr and fold.topo): - if (fold_pfd.__dict__.has_key("polycos") and + if ("polycos" in fold_pfd.__dict__ and not fold_pfd.polycos==0): pcs = fold_pfd.polycos else: @@ -290,7 +291,7 @@ def usage(): # if t2format: - print "FORMAT 1" + print("FORMAT 1") for ii in range(numtoas): @@ -397,5 +398,6 @@ def usage(): sys.stderr.write("FFTFIT results: b = %.4g +/- %.4g SNR = %.4g +/- %.4g" % (b, errb, snr, esnr)) - except ValueError, fftfit.error: + except ValueError as xxx_todo_changeme: + fftfit.error = xxx_todo_changeme pass diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 9a523864d..1745341af 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -1,6 +1,7 @@ #!/usr/bin/env python #Begun on 2/13/2014 from a copy of psrfits2fil.py //NEG-D// +from __future__ import print_function import numpy as np import pyfits import filterbank @@ -216,8 +217,8 @@ def main(fits_fn, outfn, nbits, \ # band will need to be flipped if firstfits['SUBINT'].header['CHAN_BW'] > 0: flip_band=True - print "\nFits file frequencies in ascending order." - print "\tFlipping frequency band.\n" + print("\nFits file frequencies in ascending order.") + print("\tFlipping frequency band.\n") else: flip_band=False @@ -227,35 +228,35 @@ def main(fits_fn, outfn, nbits, \ raise ValueError('Does not support %d-bit data' % input_nbits) if nbits != 32: - print "\nCalculating statistics on first subintegration..." + print("\nCalculating statistics on first subintegration...") subint0 = read_subint(firstfits,0,nchan,nsamps, \ apply_weights, apply_scales, apply_offsets, \ input_nbits=input_nbits) #new_max = np.mean(subint0) + 3*np.std(subint0) new_max = 3 * np.median(subint0) - print "\t3*median =",new_max + print("\t3*median =",new_max) if new_max > 2.0**nbits: scale = True scale_fac = new_max / ( 2.0**nbits ) - print "\tScaling data by",1/scale_fac - print "\tValues larger than",new_max,"(pre-scaling) "\ - "will be set to",2.0**nbits - 1,"\n" + print("\tScaling data by",1/scale_fac) + print("\tValues larger than",new_max,"(pre-scaling) "\ + "will be set to",2.0**nbits - 1,"\n") else: scale = False scale_fac = 1 - print "\tNo scaling necessary" - print "\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ - "be set to ",2.0**nbits-1,"\n" + print("\tNo scaling necessary") + print("\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ + "be set to ",2.0**nbits-1,"\n") else: scale_fac = 1 - print "\nNo scaling necessary for 32-bit float output file." + print("\nNo scaling necessary for 32-bit float output file.") firstfits.close() fits = [pyfits.open(filename,memmap=True) for filename in fits_fn] - print "Writing data..." + print("Writing data...") sys.stdout.flush() oldpcnt = "" for i in range(skip+1,output_subints+skip+1): @@ -273,10 +274,10 @@ def main(fits_fn, outfn, nbits, \ sys.stdout.write("% 4s%% complete\r" % pcnt) sys.stdout.flush() - print "Done " + print("Done ") outfil.close() - print "Runtime:",time.time() - start + print("Runtime:",time.time() - start) if __name__=='__main__': parser = optparse.OptionParser(prog='guppidrift2fil.py', \ @@ -309,7 +310,7 @@ def main(fits_fn, outfn, nbits, \ fits_fn = args - print fits_fn + print(fits_fn) if options.outfn: outfn = options.outfn diff --git a/bin/injectpsr.py b/bin/injectpsr.py index ea0d41f4c..77c2c43ef 100755 --- a/bin/injectpsr.py +++ b/bin/injectpsr.py @@ -5,6 +5,7 @@ Patrick Lazarus, June 26, 2012 """ +from __future__ import print_function import sys import argparse import warnings @@ -546,8 +547,8 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ weq = inprof.get_equivalent_width() nfreqs = len(freqs) if verbose: - print "Applying DM to profile (DM = %.2f; %d channels)..." % \ - (dm, nfreqs) + print("Applying DM to profile (DM = %.2f; %d channels)..." % \ + (dm, nfreqs)) # A list of profiles, one for each channel profiles = [] @@ -573,9 +574,9 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ if DEBUG: for ichan, (freq, smear, scatt, delay) in \ enumerate(zip(freqs, smearphases, scatterphases, phasedelays)): - print " Chan #%d - Freq: %.3f MHz -- " \ + print(" Chan #%d - Freq: %.3f MHz -- " \ "Smearing, scattering, delay (all in phase): " \ - "%g, %g, %g" % (ichan, freq, smear, scatt, delay) + "%g, %g, %g" % (ichan, freq, smear, scatt, delay)) oldprogress = 0 sys.stdout.write(" %3.0f %%\r" % oldprogress) sys.stdout.flush() @@ -606,7 +607,7 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ # else: # ylim2 = ax2.get_ylim() if DEBUG: - print "Smearing" + print("Smearing") tmpprof = inprof.smear(smearphs, delayphs, npts=NUMPOINTS) else: tmpprof = inprof.delay(delayphs) @@ -628,7 +629,7 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ # else: # ylim4 = ax4.get_ylim() if DEBUG: - print "Scattering" + print("Scattering") tmpprof = tmpprof.scatter(scattphs, npts=NUMPOINTS) # ax5 = plt.subplot(5,1,5,sharex=ax) # tmpprof.plot() @@ -793,9 +794,9 @@ def scale_from_snr(fil, prof, snr, rms): profmax = prof.get_max() scale = snr*rms/fil.nchans/np.sqrt(fil.nspec*profmax*area) - print "Average area %s, average profile maximum: %s" % \ - (np.mean(area), np.mean(profmax)) - print "Average recommended scale factor: %s" % np.mean(scale) + print("Average area %s, average profile maximum: %s" % \ + (np.mean(area), np.mean(profmax))) + print("Average recommended scale factor: %s" % np.mean(scale)) return scale @@ -824,8 +825,8 @@ def snr_from_smean(fil, prof, smean, gain, tsys): # Target SNR warnings.warn("Assuming 2 (summed) polarizations.") snr = smean*gain*np.sqrt(2*tint*bw)/tsys*np.sqrt(1/dutycycle-1) - print "Expected SNR of injected pulsar signal (after folding " \ - "and integrating over frequency): %s" % snr + print("Expected SNR of injected pulsar signal (after folding " \ + "and integrating over frequency): %s" % snr) return snr @@ -837,7 +838,7 @@ def inject(infile, outfn, prof, period, dm, nbitsout=None, fil = filterbank.FilterbankFile(infile, 'readwrite') else: fil = filterbank.FilterbankFile(infile, 'read') - print "Injecting pulsar signal into: %s" % fil.filename + print("Injecting pulsar signal into: %s" % fil.filename) if False: delays = psr_utils.delay_from_DM(dm, fil.frequencies) delays -= delays[np.argmax(fil.frequencies)] @@ -853,7 +854,7 @@ def inject(infile, outfn, prof, period, dm, nbitsout=None, outfil = fil else: # Start an output file - print "Creating out file: %s" % outfn + print("Creating out file: %s" % outfn) outfil = filterbank.create_filterbank_file(outfn, fil.header, \ nbits=nbitsout, mode='append') @@ -930,7 +931,7 @@ def inject(infile, outfn, prof, period, dm, nbitsout=None, def load_profile(infn, verbose=True): if verbose: - print "Loading profile from file (%s)" % infn + print("Loading profile from file (%s)" % infn) data = np.load(infn) profiles = [] for key in sorted(data.keys()): @@ -942,8 +943,8 @@ def load_profile(infn, verbose=True): def save_profile(prof, outfn, verbose=True): if verbose: - print "Writing %s instance to file (%s)" % \ - (type(prof).__name__, outfn) + print("Writing %s instance to file (%s)" % \ + (type(prof).__name__, outfn)) outfile = open(outfn, 'wb') profvals = {} for ii, pp in enumerate(prof.profiles): @@ -1074,7 +1075,7 @@ def scale_profile(prof, scale_name, scale_cfgstrs, fil, verbose=True): scale_getter = SCALE_METHODS[scale_name] scaling = scale_getter(fil, prof, scale_cfgstrs) if verbose: - print "Band-averaged scale-factor: %g" % np.ma.masked_invalid(scaling).mean() + print("Band-averaged scale-factor: %g" % np.ma.masked_invalid(scaling).mean()) prof.set_scaling(scaling) @@ -1088,11 +1089,11 @@ def make_profile(vonmises, verbose=True): comps = create_vonmises_components(vonmises) prof = MultiComponentProfile(comps) if verbose: - print "Creating profile. Number of components: %d" % len(comps) - print "Profile area (intensity x phase): %g" % prof.get_area() - print "Equivalent width (phase): %g" % prof.get_equivalent_width() - print "FWHM (phase): %g" % prof.get_fwhm() - print "Profile maximum: %g" % prof.get_max() + print("Creating profile. Number of components: %d" % len(comps)) + print("Profile area (intensity x phase): %g" % prof.get_area()) + print("Equivalent width (phase): %g" % prof.get_equivalent_width()) + print("FWHM (phase): %g" % prof.get_fwhm()) + print("Profile maximum: %g" % prof.get_max()) prof = get_spline_profile(prof) return prof @@ -1117,7 +1118,7 @@ def main(): save_profile(prof, args.outprof) outfn = args.outname % fil.header - print "Showing plot of profile to be injected..." + print("Showing plot of profile to be injected...") plt.figure() plt.clf() prof.plot(dedisp=True) diff --git a/bin/make_spd.py b/bin/make_spd.py index 19a629f18..845cff295 100755 --- a/bin/make_spd.py +++ b/bin/make_spd.py @@ -10,6 +10,7 @@ Chitrang Patel - May. 21, 2015 -- Updated on June 10 2016 """ +from __future__ import print_function import sys import copy @@ -30,7 +31,7 @@ DEBUG = True def print_debug(msg): if DEBUG: - print msg + print(msg) def waterfall_array(rawdatafile, start, duration, dm, nbins, nsub, subdm, zerodm, \ downsamp, scaleindep, width_bins, mask, maskfn, bandpass_corr): diff --git a/bin/makezaplist.py b/bin/makezaplist.py index 285480e09..b9ef034b8 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -1,5 +1,6 @@ #!/usr/bin/env python +from __future__ import print_function from sys import argv, exit from string import index from presto import * @@ -22,7 +23,7 @@ def processbirds(filename): try: ii = index(filename, ".birds") except ValueError: - print "\nThe birdie filename must end in '.birds'\n" + print("\nThe birdie filename must end in '.birds'\n") exit(0) else: rootname = filename[:ii] @@ -30,7 +31,7 @@ def processbirds(filename): freqs = 0 trains = 0 birds = [] - print "\nProcessing the birds..." + print("\nProcessing the birds...") info = read_inffile(rootname) T = info.dt * info.N; # PSRs get 40 bins minimum zapped (overkill for most, @@ -82,9 +83,9 @@ def processbirds(filename): else: freqs += 1 birds.append(bird(float(words[0]), float(words[1]))) - print "\nRead %d freqs, %d pulsars, and %d harmonic series." % \ - (freqs, psrs, trains) - print "Total number of birdies = %d" % (len(birds)) + print("\nRead %d freqs, %d pulsars, and %d harmonic series." % \ + (freqs, psrs, trains)) + print("Total number of birdies = %d" % (len(birds))) birds.sort() file.close() file = open(rootname+".zaplist", "w") @@ -96,12 +97,12 @@ def processbirds(filename): for birdie in birds: file.write(str(birdie)) file.close() - print "\nWrote '%s'\n" % (rootname+".zaplist") + print("\nWrote '%s'\n" % (rootname+".zaplist")) if __name__ == '__main__': if len(argv)==1: - print "\nusage: makezaplist.py birdsfilename" - print " Note: 'birdsfilename' must end in '.birds'\n" - print " and a related infofile ('.inf') must exist.\n" + print("\nusage: makezaplist.py birdsfilename") + print(" Note: 'birdsfilename' must end in '.birds'\n") + print(" and a related infofile ('.inf') must exist.\n") else: processbirds(argv[1]) diff --git a/bin/orbellipsefit.py b/bin/orbellipsefit.py index 48ae86ae2..a6eb4f5f3 100755 --- a/bin/orbellipsefit.py +++ b/bin/orbellipsefit.py @@ -5,6 +5,7 @@ # Inputs are a set of .bestprof files or .par files from which the P0 and P1 (or F0 and F1) values # and their errors are read. It can ignore points with too large an F1 error # +from __future__ import print_function from numpy import * from pylab import * from psr_utils import * @@ -62,11 +63,11 @@ def read_bestprof(filename,f1errmax=999.0): else: break f0,f0err,f1,f1err = pferrs(p0,p0err,p1,p1err) - print "%.4f %10.9g %8.3g %10.5g %8.3g" % (epoch,f0,f0err,f1,f1err), + print("%.4f %10.9g %8.3g %10.5g %8.3g" % (epoch,f0,f0err,f1,f1err), end=' ') if (f1err > f1errmax): - print " * Ignored *" + print(" * Ignored *") else: - print + print() #print "----- ",filename @@ -99,17 +100,17 @@ def read_par(pfname,f1errmax=999.0): mjd = pf.PEPOCH if (verbose): # print "%6s: %.4f F0 %10.9g +/- %8.03g F1 %10.5g +/- %8.03g" % (pfname,mjd,f0,f0err,f1,f1err) - print "%.4f %10.9g %8.3g %10.5g %8.3g" % (mjd,f0,f0err,f1,f1err), + print("%.4f %10.9g %8.3g %10.5g %8.3g" % (mjd,f0,f0err,f1,f1err), end=' ') if (f1err > f1errmax): - print " * Ignored *" + print(" * Ignored *") else: - print + print() # print " P0 = %g, P1 = %g" % (p0,p1) - print "----- ",pfname - print "PEPOCH ",mjd - print "F0 ", f0 - print "F1 ", f1 + print("----- ",pfname) + print("PEPOCH ",mjd) + print("F0 ", f0) + print("F1 ", f1) return mjd,f0,f0err,f1,f1err @@ -122,7 +123,7 @@ def readPeriodAccelFromPars(parfilelist,f1errmax=3.0e-6): f1errs = [] accs = [] if (verbose): - print "MJD F0 F0_err F1 F1_err" + print("MJD F0 F0_err F1 F1_err") for fn in argv[1:]: if fn.endswith('.bestprof'): mjd,Tobs,f0,f0err,f1,f1err = read_bestprof(fn,f1errmax) @@ -212,15 +213,15 @@ def fitellipse(mjds, accs,accerrs,ps,P0_init,Porb_init,X_init): # First read the periods and accelerations from the parfiles parfilelist = argv[1:] if len(parfilelist)<1: - print "No par files specified" + print("No par files specified") sys.exit(1) mjds,ps,perrs,accs,accerrs = readPeriodAccelFromPars(parfilelist, f1errmax=3.0e-7) - print + print() - print "MJD :",mjds - print "accs :",accs - print "accerrs :",accerrs + print("MJD :",mjds) + print("accs :",accs) + print("accerrs :",accerrs) # Now setup initial parameter values based on observed periods and accs P0_init = ps.mean() @@ -231,34 +232,34 @@ def fitellipse(mjds, accs,accerrs,ps,P0_init,Porb_init,X_init): vmin = cspeed*(ps.min()/P0_init - 1) vmax = cspeed*(ps.max()/P0_init - 1) - print "vmin = %.2f km/s" % (vmin/1000.0,) - print "vmax = %.2f km/s" % (vmax/1000.0,) + print("vmin = %.2f km/s" % (vmin/1000.0,)) + print("vmax = %.2f km/s" % (vmax/1000.0,)) - print "amin = %.4f m/s^2" % (accs.min(),) - print "amax = %.4f m/s^2" % (accs.max(),) + print("amin = %.4f m/s^2" % (accs.min(),)) + print("amax = %.4f m/s^2" % (accs.max(),)) - print "pmin = %.6f ms" % (1000.0*ps.min(),) - print "pmax = %.6f ms" % (1000.0*ps.max(),) + print("pmin = %.6f ms" % (1000.0*ps.min(),)) + print("pmax = %.6f ms" % (1000.0*ps.max(),)) - print "Initial Values:" - print " P0 = ",P0_init - print " Porb = %g s (%.3f days)" % (Porb_init,Porb_init/86400.0) - print " X = ",X_init - print " A1 = ",A1_init - print " P1 = ",P1_init - print + print("Initial Values:") + print(" P0 = ",P0_init) + print(" Porb = %g s (%.3f days)" % (Porb_init,Porb_init/86400.0)) + print(" X = ",X_init) + print(" A1 = ",A1_init) + print(" P1 = ",P1_init) + print() # If enough points, do the ellipse fit if len(mjds)>=3: P0, Porb, X, A1, P1 = fitellipse(mjds,accs,accerrs,ps,P0_init,Porb_init,X_init) - print "Fitted Values:" - print " P0 = ",P0 - print " Porb = %g s (%.3f days)" % (Porb, Porb/86400.0) - print " X = ",X - print " A1 = ",A1 - print " P1 = ",P1 + print("Fitted Values:") + print(" P0 = ",P0) + print(" Porb = %g s (%.3f days)" % (Porb, Porb/86400.0)) + print(" X = ",X) + print(" A1 = ",A1) + print(" P1 = ",P1) #print "Mcomp,min = ",companion_mass_limit(Porb/86400.0,X) else: A1 = 0.0 @@ -298,15 +299,15 @@ def fitellipse(mjds, accs,accerrs,ps,P0_init,Porb_init,X_init): #xlabel('Time (MJD)') #grid(1) - print - print "PAR file of fit: " + print() + print("PAR file of fit: ") - print "P0 %.15f" % P0 - print "BINARY BT" - print "PB %.8f" % Porb_days - print "A1 %.6f" % X - print "T0 %.6f" % T0 - print "OM 0.0" - print "E 0.0" + print("P0 %.15f" % P0) + print("BINARY BT") + print("PB %.8f" % Porb_days) + print("A1 %.6f" % X) + print("T0 %.6f" % T0) + print("OM 0.0") + print("E 0.0") show() diff --git a/bin/pfd_for_timing.py b/bin/pfd_for_timing.py index ab1e79491..b833243b3 100755 --- a/bin/pfd_for_timing.py +++ b/bin/pfd_for_timing.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, prepfold if len(sys.argv) == 1: @@ -11,8 +12,8 @@ try: pfd = prepfold.pfd(pfdfile) if pfd.use_for_timing(): - print "%s: true"%pfdfile + print("%s: true"%pfdfile) else: - print "%s: false"%pfdfile + print("%s: false"%pfdfile) except: sys.stderr.write("Error: Can't check '%s'\n"%pfdfile) diff --git a/bin/plot_spd.py b/bin/plot_spd.py index c92a4cee7..79a5c1a1a 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -8,6 +8,7 @@ Chitrang Patel - June 10, 2016. """ +from __future__ import print_function import numpy as np import optparse import tarfile @@ -301,7 +302,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") # DM vs Time - print "Making arrays for DM vs time plot" + print("Making arrays for DM vs time plot") spfiles = singlepulsefiles threshold = 5.0 if len(spfiles) > 2: @@ -314,7 +315,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal dms, times, sigmas, widths, filelist = spio.gen_arrays(dm_arr, spfiles, tar, threshold) sp_pgplot.dm_time_plot(dms, times, sigmas, dm_list, sigma_arr, time_list, Total_observed_time, xwin) else: - print "You need a .singlepulse.tgz file to plot DM vs Time plot." + print("You need a .singlepulse.tgz file to plot DM vs Time plot.") if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) else: diff --git a/bin/powerstats.py b/bin/powerstats.py index 541d1cd98..034a8fe62 100755 --- a/bin/powerstats.py +++ b/bin/powerstats.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as Num from events import * @@ -15,7 +16,7 @@ def ask_float(question, default=None): try: return float(ans) except (ValueError, TypeError): - print "\nThat was not a valid number. Try again...\n" + print("\nThat was not a valid number. Try again...\n") def ask_int(question, default=None): while 1: @@ -25,10 +26,10 @@ def ask_int(question, default=None): try: return int(ans) except (ValueError, TypeError): - print "\nThat was not a valid number. Try again...\n" + print("\nThat was not a valid number. Try again...\n") if __name__ == '__main__': - print "\nPower Statistics Calculation Routine" + print("\nPower Statistics Calculation Routine") conf = ask_float(\ "What confidence level would you like to use? [0.99] ", 0.99) @@ -62,7 +63,7 @@ def ask_int(question, default=None): trial_freqs = (10.0**(Num.arange(7.0)-2.0)).tolist() trial_freqs = filter(lambda x: x > lofreq and x < hifreq, trial_freqs) - print "\nThe trial frequencies (Hz) are:", trial_freqs + print("\nThe trial frequencies (Hz) are:", trial_freqs) if answer_yes(\ "Would you like to add any more? [y] "): new_freq = ask_float(\ @@ -72,56 +73,56 @@ def ask_int(question, default=None): new_freq = ask_float(\ "Enter a frequency (Hz) or '0' to stop. ") trial_freqs.sort() - print "\n\nCalculating...\n\n" - print "" - print " Power Stats for Binned Data" - print " -----------------------------------" - print " Number of data points = %.0f" % Ntot - print " Time per sample (s) = %g" % dt - print " Total number of photons = %.0f" % numphot - print " Confidence Level = %g%%" % (100 * conf) - print " Number of independent bins = %.2e" % Nsearch - print " Threshold Power (P_detect) > %.2f" % \ - max_noise_power(Nsearch, 1, conf) + print("\n\nCalculating...\n\n") + print("") + print(" Power Stats for Binned Data") + print(" -----------------------------------") + print(" Number of data points = %.0f" % Ntot) + print(" Time per sample (s) = %g" % dt) + print(" Total number of photons = %.0f" % numphot) + print(" Confidence Level = %g%%" % (100 * conf)) + print(" Number of independent bins = %.2e" % Nsearch) + print(" Threshold Power (P_detect) > %.2f" % \ + max_noise_power(Nsearch, 1, conf)) ulim = required_signal_power(P_max, 1, conf) - print " Max Power Found (P_max) = %.2f" % P_max - print " Max Signal Power (P_limit) < %.2f" % ulim - print " Pulsed Fraction (P_limit) < %.3g" % \ - pulsed_fraction_limit(numphot, ulim) - print "" + print(" Max Power Found (P_max) = %.2f" % P_max) + print(" Max Signal Power (P_limit) < %.2f" % ulim) + print(" Pulsed Fraction (P_limit) < %.3g" % \ + pulsed_fraction_limit(numphot, ulim)) + print("") sens = [] ulim = [] for f in trial_freqs: sens.append(binned_fft_sensitivity(Ntot, dt, f, Nsearch, 1, conf)) ulim.append(required_signal_power(P_max, 1, conf)) - print " Freq (Hz) = ", + print(" Freq (Hz) = ", end=' ') for f in trial_freqs: - print " f=%-7g" % (f), - print '\n '+'-'*len(trial_freqs)*11 - print " Power Sensitivity > ", + print(" f=%-7g" % (f), end=' ') + print('\n '+'-'*len(trial_freqs)*11) + print(" Power Sensitivity > ", end=' ') for s in sens: - print " %-8.2f " % (s), - print '' + print(" %-8.2f " % (s), end=' ') + print('') pfract = [] for s in sens: pfract.append(pulsed_fraction_limit(numphot, s)) - print " Pulsed Fraction < ", + print(" Pulsed Fraction < ", end=' ') for p in pfract: - print " %-8.3g " % (p), - print '\n' + print(" %-8.3g " % (p), end=' ') + print('\n') else: - print "\n\nCalculating...\n\n" - print "" - print " Power Stats for Normal Data" - print " -----------------------------------" - print " Number of data points = %.0f" % Ntot - print " Confidence Level = %g%%" % (100 * conf) - print " Number of independent bins = %.2e" % Nsearch - print " Threshold Power (P_detect) > %.2f" % \ - max_noise_power(Nsearch/2, 1, conf) + print("\n\nCalculating...\n\n") + print("") + print(" Power Stats for Normal Data") + print(" -----------------------------------") + print(" Number of data points = %.0f" % Ntot) + print(" Confidence Level = %g%%" % (100 * conf)) + print(" Number of independent bins = %.2e" % Nsearch) + print(" Threshold Power (P_detect) > %.2f" % \ + max_noise_power(Nsearch/2, 1, conf)) sens = fft_sensitivity(Ntot, Nsearch, 1, conf) - print " Power Sensitivity > %.2f" % sens + print(" Power Sensitivity > %.2f" % sens) ulim = required_signal_power(P_max, 1, conf) - print " Max Power Found (P_max) = %.2f" % P_max - print " Max Signal Power (P_limit) < %.2f" % ulim - print "" + print(" Max Power Found (P_max) = %.2f" % P_max) + print(" Max Signal Power (P_limit) < %.2f" % ulim) + print("") diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index faa995688..eca0de436 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -1,5 +1,6 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as np import psrfits import filterbank @@ -67,8 +68,8 @@ def main(fits_fn, outfn, nbits, \ # band will need to be flipped if psrfits_file.fits['SUBINT'].header['CHAN_BW'] > 0: flip_band=True - print "\nFits file frequencies in ascending order." - print "\tFlipping frequency band.\n" + print("\nFits file frequencies in ascending order.") + print("\tFlipping frequency band.\n") else: flip_band=False @@ -78,30 +79,30 @@ def main(fits_fn, outfn, nbits, \ psrfits_file.nbits) if nbits != 32: - print "\nCalculating statistics on first subintegration..." + print("\nCalculating statistics on first subintegration...") subint0 = psrfits_file.read_subint(0, \ apply_weights, apply_scales, apply_offsets) #new_max = np.mean(subint0) + 3*np.std(subint0) new_max = 3 * np.median(subint0) - print "\t3*median =",new_max + print("\t3*median =",new_max) if new_max > 2.0**nbits: scale = True scale_fac = new_max / ( 2.0**nbits ) - print "\tScaling data by",1/scale_fac - print "\tValues larger than",new_max,"(pre-scaling) "\ - "will be set to",2.0**nbits - 1,"\n" + print("\tScaling data by",1/scale_fac) + print("\tValues larger than",new_max,"(pre-scaling) "\ + "will be set to",2.0**nbits - 1,"\n") else: scale = False scale_fac = 1 - print "\tNo scaling necessary" - print "\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ - "be set to ",2.0**nbits-1,"\n" + print("\tNo scaling necessary") + print("\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ + "be set to ",2.0**nbits-1,"\n") else: scale_fac = 1 - print "\nNo scaling necessary for 32-bit float output file." + print("\nNo scaling necessary for 32-bit float output file.") - print "Writing data..." + print("Writing data...") sys.stdout.flush() oldpcnt = "" for isub in range(int(psrfits_file.nsubints)): @@ -116,10 +117,10 @@ def main(fits_fn, outfn, nbits, \ sys.stdout.write("% 4s%% complete\r" % pcnt) sys.stdout.flush() - print "Done " + print("Done ") outfil.close() - print "Runtime:",time.time() - start + print("Runtime:",time.time() - start) if __name__=='__main__': parser = optparse.OptionParser(prog='psrfits2fil.py', \ diff --git a/bin/psrfits_quick_bandpass.py b/bin/psrfits_quick_bandpass.py index bb0878c05..d0edb1a8b 100755 --- a/bin/psrfits_quick_bandpass.py +++ b/bin/psrfits_quick_bandpass.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as np import matplotlib.pyplot as plt import sys, psrfits @@ -45,11 +46,11 @@ def main(): help="Output filename (default will be INFILE.bandpass") (opts, args) = parser.parse_args() if len(args)==0: - print full_usage + print(full_usage) sys.exit(0) for infile in args: - print "Processing '%s'" % (infile) + print("Processing '%s'" % (infile)) pf = psrfits.PsrfitsFile(infile) if opts.nomods: # for a bandpass histogram of raw bits @@ -59,7 +60,7 @@ def main(): means = np.zeros((len(subints), pf.nchan)) stdevs = np.zeros((len(subints), pf.nchan)) for ii, subint in enumerate(subints): - print "%.0f%%.." % (100.0 * float(subint) / pf.specinfo.num_subint), + print("%.0f%%.." % (100.0 * float(subint) / pf.specinfo.num_subint), end=' ') sys.stdout.flush() specs = pf.read_subint(subint, apply_weights=opts.weights, apply_scales=not opts.nomods, @@ -70,7 +71,7 @@ def main(): htot += h means[ii] = specs.mean(axis=0) stdevs[ii] = specs.std(axis=0) - print "%.0f%%" % (100.0) + print("%.0f%%" % (100.0)) med_mean = np.median(means, axis=0) med_stdev = np.median(stdevs, axis=0) outfilenm = infile+".bandpass" if opts.outfile is None else opts.outfile @@ -79,11 +80,11 @@ def main(): plot_bandpass(pf.freqs, med_mean, med_stdev, outfile=plotfilenm) if opts.nomods: htot = htot / htot.sum() - print "# Bits histogram" - print "# val fract" - print "#---------------" + print("# Bits histogram") + print("# val fract") + print("#---------------") for b, h in zip(b, htot): - print "%3d %6.4f" % (b, h) + print("%3d %6.4f" % (b, h)) write_bandpass(outfilenm, pf.freqs, med_mean, med_stdev) if __name__=='__main__': diff --git a/bin/pulsestack.py b/bin/pulsestack.py index dda5d5c99..348f23a2f 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -19,6 +19,7 @@ # ###################################################################### +from __future__ import print_function import numpy as np import array as ar import os, os.path, stat, glob, sys @@ -98,30 +99,30 @@ def detrending (data, is_fast): # gives the short list of options without explanations def list_options(prg): - print "Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg) - print - print "Options:" - print " [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]" - print " [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]" - print " [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]" - print " [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]" - print " [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]" - print " [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]" - print " [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]" - print " [--tim] [--events] [-l, --list]" - print " [-2, --double] [-m, --mjd MJD] [--tsamp TIME]" - print " [--chandra]" - print - print "Graphics Options:" - print " [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]" - print " [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]" - print " [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]" - print " [--cmap COLORMAP] [-c, --colorbar] [--title STR]" - print " [--legend STR] [--loc STR] [-g, --grid]" - print " [--titlepos STR] [--label STR] [--labelpos STR]" - print " [--no-top-axis] [--no-right-axis]" + print("Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg)) + print() + print("Options:") + print(" [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]") + print(" [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]") + print(" [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]") + print(" [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]") + print(" [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]") + print(" [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]") + print(" [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]") + print(" [--tim] [--events] [-l, --list]") + print(" [-2, --double] [-m, --mjd MJD] [--tsamp TIME]") + print(" [--chandra]") + print() + print("Graphics Options:") + print(" [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]") + print(" [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]") + print(" [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]") + print(" [--cmap COLORMAP] [-c, --colorbar] [--title STR]") + print(" [--legend STR] [--loc STR] [-g, --grid]") + print(" [--titlepos STR] [--label STR] [--labelpos STR]") + print(" [--no-top-axis] [--no-right-axis]") if kapteyn_loaded: - print " [--cmap-scale SCALE]" + print(" [--cmap-scale SCALE]") ################################################################################################################################### @@ -297,19 +298,19 @@ def list_options(prg): tsamp = filhdr['tsamp'] source = filhdr['source_name'] except: - print "Error: Can't open the tim-file '%s'!" % (datfile,) + print("Error: Can't open the tim-file '%s'!" % (datfile,)) sys.exit(1) elif opts.is_events: opts.is_no_detrend = True # we don't do detrending for events if opts.mjd == '' and not opts.is_chandra: - print "Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!" + print("Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!") sys.exit(1) if opts.nbins == -1: - print "Error: number of bins _must_ be given with --nbins option!" + print("Error: number of bins _must_ be given with --nbins option!") sys.exit(1) if opts.rebin != 1: - print "Event data can not be re-binned" + print("Event data can not be re-binned") opts.rebin = 1 else: if (opts.mjd == '' and not opts.is_chandra) or opts.tsamp == '' or opts.psrname == '': @@ -321,13 +322,13 @@ def list_options(prg): startmjd = id.epoch # start MJD source = id.object # pulsar name except: - print "Error: Can't read the inf-file '%s'!" % (inffile,) + print("Error: Can't read the inf-file '%s'!" % (inffile,)) sys.exit(1) # overwriting MJD, tsamp, pulsarname from the command line if given if opts.is_chandra: opts.mjd = "50814.0" - print "Chandra event file. Reference start MJD is %s" % (opts.mjd) + print("Chandra event file. Reference start MJD is %s" % (opts.mjd)) if opts.mjd != '': startmjd = float(opts.mjd) if opts.tsamp != '': @@ -337,7 +338,7 @@ def list_options(prg): # checking start, end times and adjusting them if necessary if opts.start_time < 0: - print "Error: start time %.3f is < 0!" % (opts.start_time) + print("Error: start time %.3f is < 0!" % (opts.start_time)) sys.exit(1) if not opts.is_events: @@ -345,13 +346,13 @@ def list_options(prg): try: size=(os.stat(datfile)[stat.ST_SIZE] - headersize) / 4 # 4 bytes in float except: - print "Error: Can't open the input file '%s'!" % (datfile,) + print("Error: Can't open the input file '%s'!" % (datfile,)) sys.exit(1) # checking start, end times and adjusting them if necessary start_sample = int(opts.start_time / tsamp) if start_sample >= size: - print "Start time %.3f is out of range!" % (opts.start_time) + print("Start time %.3f is out of range!" % (opts.start_time)) sys.exit(1) else: size = size - start_sample @@ -367,10 +368,10 @@ def list_options(prg): opts.window_time = window * tsamp if start_sample + window > size: - print "End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time) + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) window = size - start_sample opts.window_time = window * tsamp - print "New window is %.3f s" % (opts.window_time) + print("New window is %.3f s" % (opts.window_time)) else: # reading the file, and so, we can get the start and end events' time events = np.loadtxt(datfile, comments='#', usecols=(0,0), dtype=float, unpack=True)[0] @@ -379,11 +380,11 @@ def list_options(prg): except: energy = [] if np.size(energy) == 0 and opts.is_timeseries: - print "No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile) + print("No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile)) sys.exit(1) duration = events[-1]-events[0] if opts.start_time >= duration: - print "Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration) + print("Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration)) sys.exit(1) else: events.compress(events >= opts.start_time + events[0]) @@ -392,9 +393,9 @@ def list_options(prg): if opts.window_time == -1: opts.window_time = duration if opts.start_time + opts.window_time > duration: - print "End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time) + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) opts.window_time = duration - opts.start_time - print "New window is %.3f s" % (opts.window_time) + print("New window is %.3f s" % (opts.window_time)) # checking dump settings if opts.dump != '': @@ -402,17 +403,17 @@ def list_options(prg): dump_time = float(opts.dump) dump_pulses = 0 if dump_time > 0: - print "Dump time is %.3f s" % (dump_time) + print("Dump time is %.3f s" % (dump_time)) else: - print "Dump time %.3f should be > 0!" % (dump_time) + print("Dump time %.3f should be > 0!" % (dump_time)) sys.exit(1) else: # number of pulses to dump is given dump_pulses = int(opts.dump) dump_time = 0 if dump_pulses > 0: - print "Number of pulses in subintegration is %d" % (dump_pulses) + print("Number of pulses in subintegration is %d" % (dump_pulses)) else: - print "Number of pulses in subintegration %d should be > 0!" % (dump_pulses) + print("Number of pulses in subintegration %d should be > 0!" % (dump_pulses)) sys.exit(1) else: dump_pulses = 0 @@ -422,25 +423,25 @@ def list_options(prg): if not opts.is_timeseries: if opts.phase_start < 0 or opts.phase_start >= 1.0: opts.phase_start = 0.0 - print "Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,) + print("Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,)) if opts.phase_end <= 0.0 or opts.phase_end > 1.0: opts.phase_end = 1.0 - print "End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,) + print("End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,)) if opts.phase_end <= opts.phase_start: - print "End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start) + print("End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start)) sys.exit(1) if not opts.is_no_detrend: # checking the blocksize if opts.blocksize < 3 * detrendlen: - print "Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen) + print("Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen)) opts.blocksize = 3 * detrendlen # making blocksize to be divisible by detrendlen (in order not to loose samples between blocks) if int (opts.blocksize / detrendlen) * detrendlen != opts.blocksize: opts.blocksize = detrendlen * (1 + int (opts.blocksize / detrendlen)) - print "Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen) + print("Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen)) # forming the array of time samples @@ -448,7 +449,7 @@ def list_options(prg): try: infile = open(datfile, "rb") except: - print "Error: Can't read the dat-file '%s'!" % (datfile,) + print("Error: Can't read the dat-file '%s'!" % (datfile,)) sys.exit(1) dataptr = ar.array('f') # 'f' - for float infile.seek(headersize + 4 * start_sample) # position to the first byte to read; '4' - is the size of float @@ -468,12 +469,12 @@ def list_options(prg): else: fold_period = get_period (pid, data[0]) except: - print "Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile) - print "If different, try --pulsar option to set the name of pulsar the same as in polyco file." + print("Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile)) + print("If different, try --pulsar option to set the name of pulsar the same as in polyco file.") sys.exit(1) is_update_period = True if fold_period <= 0: - print "Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period)) + print("Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period))) sys.exit(1) else: # period is given fold_period = opts.period / 1000. @@ -484,33 +485,33 @@ def list_options(prg): # if dump_time is given - checking that it is >= fold_period if dump_time > 0: if dump_time < fold_period: - print "Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period) + print("Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period)) dump_time = fold_period - print "Dump time is now %.3f s" % (dump_time) + print("Dump time is now %.3f s" % (dump_time)) if dump_time > opts.window_time: - print "Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time) + print("Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time)) # we make it a one period less than duration, because otherwise plt.imshow # fails to plot dump_time = opts.window_time - fold_period - print "Dump time is now %.3f s" % (dump_time) + print("Dump time is now %.3f s" % (dump_time)) else: # we need this for plotting purposes dump_time = dump_pulses * fold_period if dump_time > opts.window_time: - print "Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time) - print "Adjusting to match to the closest maximum possible number." + print("Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time)) + print("Adjusting to match to the closest maximum possible number.") dump_pulses = int((opts.window_time - fold_period) / fold_period) dump_time = dump_pulses * fold_period - print "Number of pulses per subintegration is now %d" % (dump_pulses) + print("Number of pulses per subintegration is now %d" % (dump_pulses)) bin_start = int (opts.nbins * opts.phase_start) bin_end = int(math.ceil((opts.nbins - 1) * opts.phase_end)) bin_range = bin_end - bin_start + 1 if "%f" % (opts.phase_start) != "%f" % (float(bin_start)/opts.nbins): opts.phase_start = float(bin_start)/opts.nbins - print "Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start) + print("Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start)) if "%f" % (opts.phase_end) != "%f" % (float(bin_end)/(opts.nbins - 1)): opts.phase_end = float(bin_end)/(opts.nbins - 1) - print "Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end) + print("Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end)) # initializing some variables and arrays elapsed_secs = opts.start_time diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 9a41c81ef..6543944dd 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function from psr_utils import gaussian_profile, span, read_profile from matplotlib.patches import Rectangle from bestprof import bestprof @@ -219,24 +220,24 @@ def fit_gaussians(data, initial_params, errs, profnm): dof = len(data) - len(fit_params) # chi-squared for the model fit chi_sq = mpfit_out.fnorm - print "------------------------------------------------------------------" - print "Multi-Gaussian Fit by pygaussfit.py of '%s'"%profnm - print "------------------------------------------------------------------" - print "mpfit status:", mpfit_out.status - print "gaussians:", numgaussians - print "DOF:", dof - print "chi-sq: %.2f" % chi_sq - print "reduced chi-sq: %.2f" % (chi_sq/dof) + print("------------------------------------------------------------------") + print("Multi-Gaussian Fit by pygaussfit.py of '%s'"%profnm) + print("------------------------------------------------------------------") + print("mpfit status:", mpfit_out.status) + print("gaussians:", numgaussians) + print("DOF:", dof) + print("chi-sq: %.2f" % chi_sq) + print("reduced chi-sq: %.2f" % (chi_sq/dof)) residuals = data - gen_gaussians(fit_params, len(data)) - print "residuals mean: %.3g" % Num.mean(residuals) - print "residuals stdev: %.3g" % Num.std(residuals) - print "--------------------------------------" - print " const = %.5f +/- %.5f" % (fit_params[0], fit_errs[0]) + print("residuals mean: %.3g" % Num.mean(residuals)) + print("residuals stdev: %.3g" % Num.std(residuals)) + print("--------------------------------------") + print(" const = %.5f +/- %.5f" % (fit_params[0], fit_errs[0])) for ii in range(numgaussians): - print " phas%d = %.5f +/- %.5f" % (ii+1, fit_params[1+ii*3], fit_errs[1+ii*3]) - print " fwhm%d = %.5f +/- %.5f" % (ii+1, fit_params[2+ii*3], fit_errs[2+ii*3]) - print " ampl%d = %.5f +/- %.5f" % (ii+1, fit_params[3+ii*3], fit_errs[3+ii*3]) - print "--------------------------------------" + print(" phas%d = %.5f +/- %.5f" % (ii+1, fit_params[1+ii*3], fit_errs[1+ii*3])) + print(" fwhm%d = %.5f +/- %.5f" % (ii+1, fit_params[2+ii*3], fit_errs[2+ii*3])) + print(" ampl%d = %.5f +/- %.5f" % (ii+1, fit_params[3+ii*3], fit_errs[3+ii*3])) + print("--------------------------------------") return fit_params, fit_errs, chi_sq, dof if __name__ == '__main__': @@ -244,7 +245,7 @@ def fit_gaussians(data, initial_params, errs, profnm): if len(sys.argv)==1: from numpy.random import normal - print """usage: python pygaussfit.py input_file [prof_stdev] + print("""usage: python pygaussfit.py input_file [prof_stdev] Left mouse draws a region roughly boxing where you'll place a gaussian. Draw several to fit multiple gaussians. @@ -255,7 +256,7 @@ def fit_gaussians(data, initial_params, errs, profnm): and amplitude. Comments with "#" are allowed. .bestprof files work. Paste the full resulting STDOUT to a '.gaussians' file for use -in get_TOAs.py or sum_profiles.py with the '-g' parameter as a template.""" +in get_TOAs.py or sum_profiles.py with the '-g' parameter as a template.""") N = 128 @@ -271,12 +272,12 @@ def fit_gaussians(data, initial_params, errs, profnm): filenm = "test" else: if sys.argv[1].endswith(".pfd"): - print "Input is PFD" + print("Input is PFD") # Input is pfd file pfdfn = sys.argv[1] # Check for bestprof if not os.path.exists(pfdfn+".bestprof"): - print "Creating bestprof file" + print("Creating bestprof file") # Create bestprof file with show_pfd devnull = open(os.devnull, 'w') subprocess.call(['show_pfd', '-noxwin', pfdfn], diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 197e25416..733b89cb4 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -5,6 +5,7 @@ # # Patrick Lazarus, Feb 26th, 2009 +from __future__ import print_function import optparse import sys import re @@ -197,7 +198,7 @@ def get_xdata(self, key): """Return label describing xaxis and the corresponding data given keyword 'key'. """ - if not isinstance(key, types.StringType): + if not isinstance(key, bytes): raise ValueError("key must be of type string.") xopt = key.lower() if xopt == 'numtoa': @@ -223,7 +224,7 @@ def get_ydata(self, key, postfit=True): 'postfit' is a boolean argument that determines if postfit, or prefit data is to be returned. """ - if not isinstance(key, types.StringType): + if not isinstance(key, bytes): raise ValueError("key must be of type string.") yopt = key.lower() if postfit: @@ -341,7 +342,7 @@ def plot_data(tempo_results, xkey, ykey, postfit=True, prefit=False, \ if xkey == 'mjd': plt.axvline(peri_mjd, ls=':', label='_nolegend_', c='k', lw=0.5) elif xkey == 'year': - print "plotting peri passage" + print("plotting peri passage") plt.axvline(mjd_to_year(peri_mjd), ls=':', label='_nolegend_', c='k', lw=0.5) axes[0].set_xlim((xmin, xmax)) plt.xlabel(xlabel) @@ -384,13 +385,13 @@ def get_freq_label(lo, hi): def savefigure(savefn='./resid2.tmp.ps'): - print "Saving plot to %s" % savefn + print("Saving plot to %s" % savefn) plt.savefig(savefn, orientation='landscape', papertype='letter') def reloadplot(): global options # Reload residuals and replot - print "Plotting..." + print("Plotting...") fig = plt.gcf() fig.set_visible(False) plt.clf() # clear figure @@ -400,9 +401,9 @@ def reloadplot(): postfit=options.postfit, prefit=options.prefit, \ interactive=options.interactive, \ mark_peri=options.mark_peri, show_legend=options.legend) - except EmptyPlotValueError, msg: - print msg - print "Press 'p'/'P' to add prefit/postfit plot." + except EmptyPlotValueError as msg: + print(msg) + print("Press 'p'/'P' to add prefit/postfit plot.") plt.figtext(0.5, 0.5, (str(msg) + "\n" + \ "Press 'p'/'P' to add prefit/postfit plot."), \ horizontalalignment='center', \ @@ -417,7 +418,7 @@ def redrawplot(): #plt.show() def quit(): - print "Quitting..." + print("Quitting...") sys.exit(0) @@ -433,39 +434,39 @@ def pick(event): info = tempo_results.get_info(freq_label, index, postfit) print_text(info) else: - print "Multiple TOAs selected. Zoom in and try again." + print("Multiple TOAs selected. Zoom in and try again.") def print_text(lines, *args, **kwargs): """Print lines of text (in a list) in the terminal.""" - print '\n'.join(lines) + print('\n'.join(lines)) def print_help(): # Display help - print "Helping..." - print "-"*80 - print "Help - Hotkeys definitions:" - print "\th - Display this help" - print "\tq - Quit" - print "\ts - Save current plot(s) to PostScript file" - print "\tc - Try to determine optimal color pallete" - print "\tp - Toggle prefit display on/off" - print "\tP - Toggle postfit display on/off" - print "\tz - Toggle Zoom-mode on/off" - print "\tm - Toggle marking of periastron passages on/off" - print "\tL - Toggle legend on/off" - print "\to - Go to original view" - print "\t< - Go to previous view" - print "\t> - Go to next view" - print "\tx - Set x-axis limits (terminal input required)" - print "\ty - Sey y-axis limits (terminal input required)" - print "\tr - Reload residuals" - print "\tt - Cycle through y-axis types ('phase', 'usec', 'sec')" - print "\t[Space] - Cycle through x-axis types ('MJD', 'year', 'numTOA', 'orbitphase')" - print "\t[Left mouse] - Select TOA (display info in terminal)" - print "\t - Select zoom region (if Zoom-mode is on)" - print "-"*80 + print("Helping...") + print("-"*80) + print("Help - Hotkeys definitions:") + print("\th - Display this help") + print("\tq - Quit") + print("\ts - Save current plot(s) to PostScript file") + print("\tc - Try to determine optimal color pallete") + print("\tp - Toggle prefit display on/off") + print("\tP - Toggle postfit display on/off") + print("\tz - Toggle Zoom-mode on/off") + print("\tm - Toggle marking of periastron passages on/off") + print("\tL - Toggle legend on/off") + print("\to - Go to original view") + print("\t< - Go to previous view") + print("\t> - Go to next view") + print("\tx - Set x-axis limits (terminal input required)") + print("\ty - Sey y-axis limits (terminal input required)") + print("\tr - Reload residuals") + print("\tt - Cycle through y-axis types ('phase', 'usec', 'sec')") + print("\t[Space] - Cycle through x-axis types ('MJD', 'year', 'numTOA', 'orbitphase')") + print("\t[Left mouse] - Select TOA (display info in terminal)") + print("\t - Select zoom region (if Zoom-mode is on)") + print("-"*80) def keypress(event): @@ -473,7 +474,7 @@ def keypress(event): global options global xind, xvals global yind, yvals - if type(event.key) in [types.StringType, types.UnicodeType]: + if type(event.key) in [bytes, str]: if event.key.lower() == 'q': quit() elif event.key.lower() == 's': @@ -490,48 +491,48 @@ def keypress(event): redrawplot() elif event.key.lower() == 'z': # Turn on zoom mode - print "Toggling zoom mode..." + print("Toggling zoom mode...") event.canvas.toolbar.zoom() elif event.key.lower() == 'm': # Toggle peri markings - print "Toggling periastron passage markings..." + print("Toggling periastron passage markings...") options.mark_peri = not options.mark_peri reloadplot() elif event.key.lower() == 'o': # Restore plot to original view - print "Restoring plot..." + print("Restoring plot...") event.canvas.toolbar.home() elif event.key.lower() == ',' or event.key.lower() == '<': # Go back to previous plot view - print "Going back..." + print("Going back...") event.canvas.toolbar.back() elif event.key.lower() == '.' or event.key.lower() == '>': # Go forward to next plot view - print "Going forward..." + print("Going forward...") event.canvas.toolbar.forward() elif event.key.lower() == ' ': xind = (xind + 1) % len(xvals) - print "Toggling plot type...[%s]"%xvals[xind], xind + print("Toggling plot type...[%s]"%xvals[xind], xind) options.xaxis = xvals[xind] reloadplot() elif event.key.lower() == 't': yind = (yind + 1) % len(yvals) - print "Toggling plot scale...[%s]"%yvals[yind], yind + print("Toggling plot scale...[%s]"%yvals[yind], yind) options.yaxis = yvals[yind] reloadplot() elif event.key == 'p': options.prefit = not options.prefit - print "Toggling prefit-residuals display to: %s" % \ - ((options.prefit and "ON") or "OFF") + print("Toggling prefit-residuals display to: %s" % \ + ((options.prefit and "ON") or "OFF")) reloadplot() elif event.key == 'P': options.postfit = not options.postfit - print "Toggling postfit-residuals display to: %s" % \ - ((options.postfit and "ON") or "OFF") + print("Toggling postfit-residuals display to: %s" % \ + ((options.postfit and "ON") or "OFF")) reloadplot() elif event.key.lower() == 'x': # Set x-axis limits - print "Setting x-axis limits. User input required..." + print("Setting x-axis limits. User input required...") xmin = raw_input("X-axis minimum: ") xmax = raw_input("X-axis maximum: ") try: @@ -540,13 +541,13 @@ def keypress(event): if xmax <= xmin: raise ValueError except ValueError: - print "Bad values provided!" + print("Bad values provided!") return plt.xlim(xmin, xmax) elif event.key.lower() == 'y': global axes # Set y-axis limits - print "Setting y-axis limits. User input required..." + print("Setting y-axis limits. User input required...") if len(axes) == 2: axes_to_adjust = raw_input("Axes to adjust (pre/post): ") if axes_to_adjust.lower().startswith('pre'): @@ -563,7 +564,7 @@ def keypress(event): if ymax <= ymin: raise ValueError except ValueError: - print "Bad values provided!" + print("Bad values provided!") return plt.ylim(ymin, ymax) elif event.key.lower() == 'h': diff --git a/bin/quickffdots.py b/bin/quickffdots.py index 20efcc6fb..341718406 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function from infodata import * from presto import ffdot_plane, spectralpower from pylab import * @@ -15,7 +16,7 @@ abs_alphas = N.asarray([0.1, 0.3, 0.4, 0.5, 0.65, 0.8, 1.0]) if len(sys.argv) < 3: - print "usage: quickffdots.py fftfile freq(Hz)" + print("usage: quickffdots.py fftfile freq(Hz)") sys.exit(0) if 0: @@ -26,7 +27,7 @@ alphas = abs_alphas if (numharm > 6): - print "Numharm must be < 6!" + print("Numharm must be < 6!") sys.exit(0) # Each of the harmonics must have an even number of bins interpolated @@ -54,7 +55,7 @@ maxargs = [] for harmnum in range(1, numharm+1): - print "Computing harmonic", harmnum + print("Computing harmonic", harmnum) ldr = dr * harmnum ldz = dz * harmnum lor = startr * harmnum @@ -83,10 +84,10 @@ argmax = ffd_pows.argmax() maxvals.append(ffd_pows.max()) maxargs.append((argmax / numrs, argmax % numrs)) - print " Maximum power for harmonic %d = %.2f"%(harmnum, maxvals[-1]) + print(" Maximum power for harmonic %d = %.2f"%(harmnum, maxvals[-1])) if (convals.max() < 1.5): # Using relative contours - print "Using relative contours.." + print("Using relative contours..") pow_contours = convals * maxvals[-1] else: # Only choose the contours with values < the max power @@ -112,7 +113,7 @@ limits = [rs0.min(), rs0.max(), zs0.min(), zs0.max()] cstr = "".join(["%.2f "%x for x in pow_contours[:-1]]) - print " Contour levels at powers = "+cstr + print(" Contour levels at powers = "+cstr) # Plot the contours contour(ffd_pows, pow_contours, origin='lower', @@ -126,17 +127,17 @@ if harmnum==1: axhline(0.0, linewidth=1, color='black', alpha=0.3) -print "\nMax summed power = %.2f"%(sumpows.max()) +print("\nMax summed power = %.2f"%(sumpows.max())) argmax = sumpows.argmax() maxr = rs0[argmax % numrs] maxz = zs0[argmax / numrs] maxf = maxr/idata.T maxfd = maxz/(idata.T*idata.T) initf = (maxr - 0.5*maxz)/idata.T -print " at r =", maxr, " (%.10f Hz)"%maxf -print " at z =", maxz, " (%.10g Hz/s)"%maxfd -print "Folding command would be: " -print " prepfold -f %.10f -fd %.6g ..." %(initf, maxfd) +print(" at r =", maxr, " (%.10f Hz)"%maxf) +print(" at z =", maxz, " (%.10g Hz/s)"%maxfd) +print("Folding command would be: ") +print(" prepfold -f %.10f -fd %.6g ..." %(initf, maxfd)) infile.close() show() diff --git a/bin/rrattrap.py b/bin/rrattrap.py index bdd7c81ab..4bc52db0f 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -14,6 +14,7 @@ Chen Karako May 7, 2014 Updated by Chitrang Patel June 10, 2016. """ +from __future__ import print_function import fileinput import numpy as np from time import strftime @@ -150,8 +151,8 @@ def create_groups(sps, inffile, min_nearby=1, time_thresh=0.5, \ Tobs = get_obs_info(inffile)['T'] # duration of observation if not (0 <= ignore_obs_end < Tobs): - print "Invalid ignore_obs_end value. Value must be: \ - 0 <= ignore_obs_end < Tobs. Setting ignore_obs_end to 0." + print("Invalid ignore_obs_end value. Value must be: \ + 0 <= ignore_obs_end < Tobs. Setting ignore_obs_end to 0.") ignore_obs_end = 0 Tignore = Tobs - ignore_obs_end # sps with t>=Tignore will be ignored @@ -570,7 +571,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig def print_debug(msg): if DEBUG: - print msg + print(msg) # print h.heap() @@ -816,7 +817,7 @@ def main(): plot_sp_rated_all(groups, ranks, inffile, 1000, 10000) print_debug("Finished plotting DMs1000-10000 "+strftime("%Y-%m-%d %H:%M:%S")) else: - print "Plot type must be one of 'matplotlib' or 'pgplot'. Not plotting." + print("Plot type must be one of 'matplotlib' or 'pgplot'. Not plotting.") if __name__ == '__main__': diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index 737320c55..504331d13 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import bisect, os, sys, getopt, infodata, glob import scipy, scipy.signal, scipy.stats, ppgplot import numpy as Num @@ -274,7 +275,7 @@ def main(): (opts, args) = parser.parse_args() if len(args)==0: if opts.globexp==None: - print full_usage + print(full_usage) sys.exit(0) else: args = [] @@ -359,14 +360,14 @@ def main(): roundN = N/detrendlen * detrendlen numchunks = roundN / chunklen # Read in the file - print 'Reading "%s"...'%filenm + print('Reading "%s"...'%filenm) timeseries = Num.fromfile(filenm, dtype=Num.float32, count=roundN) # Split the timeseries into chunks for detrending numblocks = roundN/detrendlen timeseries.shape = (numblocks, detrendlen) stds = Num.zeros(numblocks, dtype=Num.float64) # de-trend the data one chunk at a time - print ' De-trending the data and computing statistics...' + print(' De-trending the data and computing statistics...') for ii, chunk in enumerate(timeseries): if opts.fast: # use median removal instead of detrending (2x speedup) tmpchunk = chunk.copy() @@ -400,19 +401,19 @@ def main(): sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 std_stds = scipy.std(sort_stds[locut:hicut]) median_stds = sort_stds[(locut+hicut)/2] - print " pseudo-median block standard deviation = %.2f" % (median_stds) + print(" pseudo-median block standard deviation = %.2f" % (median_stds)) if (opts.badblocks): lo_std = median_stds - 4.0 * std_stds hi_std = median_stds + 4.0 * std_stds # Determine a list of "bad" chunks. We will not search these. bad_blocks = Num.nonzero((stds < lo_std) | (stds > hi_std))[0] - print " identified %d bad blocks out of %d (i.e. %.2f%%)" % \ + print(" identified %d bad blocks out of %d (i.e. %.2f%%)" % \ (len(bad_blocks), len(stds), - 100.0*float(len(bad_blocks))/float(len(stds))) + 100.0*float(len(bad_blocks))/float(len(stds)))) stds[bad_blocks] = median_stds else: bad_blocks = [] - print " Now searching..." + print(" Now searching...") # Now normalize all of the data and reshape it to 1-D timeseries /= stds[:,Num.newaxis] @@ -507,7 +508,7 @@ def main(): # are within the downsample proximity of a higher # signal-to-noise pulse dm_candlist = prune_related2(dm_candlist, downfacts) - print " Found %d pulse candidates"%len(dm_candlist) + print(" Found %d pulse candidates"%len(dm_candlist)) # Get rid of those near padding regions if info.breaks: prune_border_cases(dm_candlist, offregions) diff --git a/bin/sortwappfiles.py b/bin/sortwappfiles.py index 78f77d1e4..6e11ee9da 100755 --- a/bin/sortwappfiles.py +++ b/bin/sortwappfiles.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, re maxwappnum = 7 @@ -7,7 +8,7 @@ for wappnum in range(1,maxwappnum+1): if ((wappnum==1 and re.search("\.wapp\.", filename)) or \ (wappnum>1 and re.search("\.wapp%d?\."%wappnum, filename))): - if wappfiles.has_key(wappnum): + if wappnum in wappfiles: wappfiles[wappnum].append(filename) else: wappfiles[wappnum] = [filename] @@ -19,5 +20,5 @@ for filenum in range(numfiles): for wappnum in range(1,maxwappnum+1): - if wappfiles.has_key(wappnum): - print wappfiles[wappnum][filenum], + if wappnum in wappfiles: + print(wappfiles[wappnum][filenum], end=' ') diff --git a/bin/subband_smearing.py b/bin/subband_smearing.py index 55f8c1110..ea51ecc09 100755 --- a/bin/subband_smearing.py +++ b/bin/subband_smearing.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import matplotlib.pyplot as plt import numpy as num import psr_utils as pu @@ -45,7 +46,7 @@ def total_smear(DM, nchan, chanDM, nsub, subDM, subband_smear(DM, subDM, BW/nsub, fctr)**2.0) def usage(): - print """ + print(""" usage: subband_smearing.py [options] [-l loDM, --loDM=loDM] : Low DM [-h hiDM, --hiDM=HIDM] : High DM @@ -58,7 +59,7 @@ def usage(): [-c chanDM, --chanDM=chanDM] : DM in each channel (default = 0.0) [-d N, --downsamp=downsamp] : Integer downsample (default = 1) -""" +""") if __name__=='__main__': import getopt, sys diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index ddce19869..e6b182014 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import struct, getopt, sys, fftfit, psr_utils, os.path, sinc_interp, Pgplot import numpy as Num from infodata import infodata @@ -50,7 +51,7 @@ def parse_vals(valstring): def usage(): - print """ + print(""" usage: sum_profiles.py [options which must include -t or -g] profs_file [-h, --help] : Display this help [-b bkgd_cutoff, --background=cutoff] : Fractional cutoff for the background level @@ -83,7 +84,7 @@ def usage(): To-do: -- add a .par option so that the profiles can be added based on an ephemeris. -""" +""") if __name__ == '__main__': # Import Psyco if available @@ -151,7 +152,7 @@ def usage(): if o in ("-s", "--sefd"): SEFD = float(a) - print "Creating a summed profile of length %d bins using DM = %f"%(numbins, DM) + print("Creating a summed profile of length %d bins using DM = %f"%(numbins, DM)) # Read the template profile or create an appropriate Gaussian if templatefilenm is not None: @@ -189,7 +190,7 @@ def usage(): # If the number of bins in the offpulse section is < 10% of the total # use the statistics in the .pfd file to set the RMS if (len(offpulse_inds) < 0.1*numbins): - print "Number of off-pulse bins to use for RMS is too low. Using .pfd stats." + print("Number of off-pulse bins to use for RMS is too low. Using .pfd stats.") usestats = 1 else: usestats = 0 @@ -215,7 +216,7 @@ def usage(): killsubss.append(killsubs) killintss.append(killints) else: - print "Can't find '%s'. Skipping it."%pfdfilenm + print("Can't find '%s'. Skipping it."%pfdfilenm) sumprof = Num.zeros(numbins, dtype='d') @@ -229,7 +230,7 @@ def usage(): # Step through the profiles and determine the offsets for pfdfilenm, killsubs, killints in zip(pfdfilenms, killsubss, killintss): - print "\n Processing '%s'..."%pfdfilenm + print("\n Processing '%s'..."%pfdfilenm) # Read the fold data and de-disperse at the requested DM current_pfd = pfd(pfdfilenm) @@ -243,12 +244,12 @@ def usage(): # If there are subbands to kill, kill em' if killsubs is not None: - print " killing subbands: ", killsubs + print(" killing subbands: ", killsubs) current_pfd.kill_subbands(killsubs) BW *= (current_pfd.nsub-len(killsubs))/float(current_pfd.nsub) # If there are intervals to kill, kill em' if killints is not None: - print " killing intervals: ", killints + print(" killing intervals: ", killints) current_pfd.kill_intervals(killints) T *= (current_pfd.npart-len(killints))/float(current_pfd.npart) @@ -260,7 +261,7 @@ def usage(): orig_fctr = fctr else: if fctr != orig_fctr: - print "Warning!: fctr = %f, but original f_ctr = %f!" % (fctr, orig_fctr) + print("Warning!: fctr = %f, but original f_ctr = %f!" % (fctr, orig_fctr)) Tpostrfi += T prof = current_pfd.profs.sum(0).sum(0) @@ -287,7 +288,7 @@ def usage(): # Determine the off-pulse RMS if usestats: - print "Using raw data statistics instead of off-pulse region" + print("Using raw data statistics instead of off-pulse region") offpulse_rms = Num.sqrt(current_pfd.varprof) else: offpulse_rms = offpulse.std() @@ -296,8 +297,8 @@ def usage(): tau_bin = Ppsr / current_pfd.proflen # Duration of profile bin dt_per_bin = tau_bin / current_pfd.dt corr_rms = offpulse_rms / Num.sqrt(current_pfd.DOF_corr()) - print "samples/bin = ", current_pfd.dt_per_bin - print "RMSs (uncorr, corr) = ", offpulse_rms, corr_rms + print("samples/bin = ", current_pfd.dt_per_bin) + print("RMSs (uncorr, corr) = ", offpulse_rms, corr_rms) # Now attempt to shift and scale the profile so that it has # an off-pulse mean of ~0 and an off-pulse RMS of ~1 @@ -320,11 +321,11 @@ def usage(): SNR = newprof.sum() # integrate everything else: SNR = newprof[pulsebins].sum() - print " Approx SNR = %.3f" % SNR + print(" Approx SNR = %.3f" % SNR) if SEFD: S = SEFD * SNR / Num.sqrt(2.0 * BW * T / numbins) / numbins avg_S += S - print " Approx flux density = %.3f mJy" % S + print(" Approx flux density = %.3f mJy" % S) # Now weight the profile based on the observation duration # and BW as compared to the first profile @@ -349,7 +350,7 @@ def usage(): # an off-pulse mean of ~0 and an off-pulse RMS of ~1 sumprof -= Num.median(offpulse) sumprof *= Num.sqrt(current_pfd.DOF_corr()) / offpulse.std() - print "\nSummed profile approx SNR = %.3f" % sum(sumprof) + print("\nSummed profile approx SNR = %.3f" % sum(sumprof)) if SEFD: avg_S /= len(pfdfilenms) if pulsebins is None: @@ -357,10 +358,10 @@ def usage(): else: SNR = sumprof[pulsebins].sum() S = SEFD * SNR / Num.sqrt(2.0 * BW * Tpostrfi / numbins) / numbins - print " Approx sum profile flux density = %.3f mJy" % S - print " Avg of individual flux densities = %.3f mJy" % avg_S - print " Total (RFI cleaned) integration = %.0f s (%.2f hrs)" % \ - (Tpostrfi, Tpostrfi/3600.0) + print(" Approx sum profile flux density = %.3f mJy" % S) + print(" Avg of individual flux densities = %.3f mJy" % avg_S) + print(" Total (RFI cleaned) integration = %.0f s (%.2f hrs)" % \ + (Tpostrfi, Tpostrfi/3600.0)) # Rotate the summed profile so that the max value is at the phase ~ 0.25 mark sumprof = psr_utils.rotate(sumprof, -len(sumprof)/4) @@ -368,12 +369,12 @@ def usage(): labx="Pulse Phase", laby="Relative Flux") Pgplot.closeplot() - print "\n Writing profile to '%s'..."%(outfilenm), + print("\n Writing profile to '%s'..."%(outfilenm), end=' ') outfile = file(outfilenm, "w") for ii, val in enumerate(sumprof): outfile.write("%04d %20.15g\n"%(ii, val)) outfile.close() - print "Done\n" + print("Done\n") diff --git a/bin/tim2dat.py b/bin/tim2dat.py index fd4d505eb..2c57db328 100755 --- a/bin/tim2dat.py +++ b/bin/tim2dat.py @@ -1,8 +1,13 @@ #!/usr/bin/env python -import sys, os, os.path -import argparse, getpass +from __future__ import print_function import astropy.coordinates as coords import astropy.units as u +import os +import os.path +import argparse +import sys +import getpass +import re import numpy as np import sigproc @@ -125,19 +130,20 @@ def convert_tim_to_dat(tim): def main(): for tim in args.timfiles: - print "Working on %s" % tim + print("Working on %s" % tim) + if args.write_dat: try: datfn = convert_tim_to_dat(tim) - print " Wrote PRESTO time series: %s" % datfn - except ValueError, e: + print(" Wrote PRESTO time series: %s" % datfn) + except ValueError as e: sys.stderr.write("Error encountered when converting on %s" % tim) sys.stderr.write(str(e)) else: datfn = tim[-3:]+"dat" hdr, hdrlen = sigproc.read_header(tim) inffn = write_inf_file(datfn, hdr, hdrlen) - print " Wrote info data: %s" % inffn + print(" Wrote info data: %s" % inffn) if __name__ == '__main__': diff --git a/lib/python/Pgplot.py b/lib/python/Pgplot.py index 0f6882cae..08184decb 100644 --- a/lib/python/Pgplot.py +++ b/lib/python/Pgplot.py @@ -1,3 +1,4 @@ +from __future__ import print_function ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -122,7 +123,7 @@ def nextplotpage(reset=0): ppgplot.pgpage() ppgplot_dev_prep_ = 0 else: - print "Can't go to the next plot page unless a plotting device is open." + print("Can't go to the next plot page unless a plotting device is open.") if (reset): resetdefaults() # Reset the color indices to the default values @@ -336,7 +337,7 @@ def plotxy(y, x=None, title=None, rangex=None, rangey=None, \ logx, logy, logx2, logy2, font, fontsize, \ id, aspect, ticks, panels, device=device) # Choose the line color - if type(color) == types.StringType: + if type(color) == bytes: ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -493,7 +494,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Make sure the input data is a 2D array z = Num.asarray(z); if not len(z.shape)==2: - print 'Input data array must be 2 dimensional.' + print('Input data array must be 2 dimensional.') return # Announce the global variables we will be using global ppgplot_dev_open_, ppgplot_dev_prep_, pgpalette @@ -535,7 +536,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Choose the line width ppgplot.pgslw(width) # Choose the line color for the contourlines - if type(color) == types.StringType: + if type(color) == bytes: ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -545,7 +546,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Label the contours if requested if labels is not None: # Choose the line color for the contourlines - if type(labels) == types.StringType: + if type(labels) == bytes: ppgplot.pgsci(ppgplot_colors_[labels]) else: ppgplot.pgsci(labels) diff --git a/lib/python/barycenter.py b/lib/python/barycenter.py index 817778f4f..38b156a4a 100644 --- a/lib/python/barycenter.py +++ b/lib/python/barycenter.py @@ -50,16 +50,16 @@ def rad2dms(rad): ss = ss * 60.0 id = abs(int(dd)) if (abs(dd) < 10.0): - if (dd < 0): d = '-0'+`id` - else: d = '0'+`id` + if (dd < 0): d = '-0'+repr(id) + else: d = '0'+repr(id) else: - if (dd < 0): d = '-'+`id` - else: d = `id` + if (dd < 0): d = '-'+repr(id) + else: d = repr(id) im = abs(int(mm)) - if (abs(mm) < 10): m = '0'+`im` - else: m = `im` - if (abs(ss) < 10): s = '0'+`abs(ss)` - else: s = `abs(ss)` + if (abs(mm) < 10): m = '0'+repr(im) + else: m = repr(im) + if (abs(ss) < 10): s = '0'+repr(abs(ss)) + else: s = repr(abs(ss)) return d+':'+m+':'+s def rad2hms(rad): @@ -73,16 +73,16 @@ def rad2hms(rad): ss = ss * 60.0 ih = abs(int(hh)) if (abs(hh) < 10.0): - if (hh < 0): h = '-0'+`ih` - else: h = '0'+`ih` + if (hh < 0): h = '-0'+repr(ih) + else: h = '0'+repr(ih) else: - if (hh < 0): h = '-'+`ih` - else: h = `ih` + if (hh < 0): h = '-'+repr(ih) + else: h = repr(ih) im = abs(int(mm)) - if (abs(mm) < 10): m = '0'+`im` - else: m = `im` - if (abs(ss) < 10): s = '0'+`abs(ss)` - else: s = `abs(ss)` + if (abs(mm) < 10): m = '0'+repr(im) + else: m = repr(im) + if (abs(ss) < 10): s = '0'+repr(abs(ss)) + else: s = repr(abs(ss)) return h+':'+m+':'+s diff --git a/lib/python/binary_psr.py b/lib/python/binary_psr.py index d27485300..b80255476 100644 --- a/lib/python/binary_psr.py +++ b/lib/python/binary_psr.py @@ -1,9 +1,10 @@ +from __future__ import print_function import numpy as Num import parfile, psr_utils from psr_constants import * def myasarray(a): - if type(a) in [type(1.0),type(1L),type(1),type(1j)]: + if type(a) in [type(1.0),type(1),type(1),type(1j)]: a = Num.asarray([a]) if len(a) == 0: a = Num.asarray([a]) @@ -43,7 +44,7 @@ class binary_psr def __init__(self, parfilenm): self.par = parfile.psr_par(parfilenm) if not hasattr(self.par, 'BINARY'): - print "'%s' doesn't contain parameters for a binary pulsar!" + print("'%s' doesn't contain parameters for a binary pulsar!") return None self.PBsec = self.par.PB*SECPERDAY self.T0 = self.par.T0 diff --git a/lib/python/cosine_rand.py b/lib/python/cosine_rand.py index d7fda59b0..f49dd4642 100644 --- a/lib/python/cosine_rand.py +++ b/lib/python/cosine_rand.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import cPickle, os @@ -52,7 +53,7 @@ def cosine_rand(num): tt = time.clock() funct(numrandnums) times.append(time.clock()-tt) - print "Average time = ", Num.add.reduce(Num.asarray(times))/numtrials + print("Average time = ", Num.add.reduce(Num.asarray(times))/numtrials) else: rs = Num.arange(n+1, dtype=Num.float)/n plotxy(xs, rs) diff --git a/lib/python/events.py b/lib/python/events.py index a3d958a10..ffa0be77f 100644 --- a/lib/python/events.py +++ b/lib/python/events.py @@ -1,3 +1,4 @@ +from __future__ import print_function import bisect import numpy as Num from psr_constants import PI, TWOPI, PIBYTWO @@ -172,7 +173,7 @@ def xray_time_to_detect(ctrate, pfract, dt, fpsr, bins=0, confidence=0.99, # The following is from para 1, sect 3.3, of Ransom, Gaensler, and Slane, 2002 #return (power_required - 1.0) 4 * ctrate * dt**2.0 / (A**2.0 * factor) * else: - print "Not implemented yet...I think we need to iterate." + print("Not implemented yet...I think we need to iterate.") # The following routines are based on the method of signal # estimation described by Vaughan et al., 1994, ApJ, 435, p362. @@ -429,9 +430,9 @@ def pulsed_fraction_limit(Nphot, Pow): tcsum = Num.add.accumulate(Num.sqrt(pows[1:10]))**2.0 csum = coherent_sum(fprof[1:10]) isum = incoherent_sum(fprof[1:10]) - print isum - print csum - print tcsum + print(isum) + print(csum) + print(tcsum) for ii in range(len(csum)): - print candidate_sigma(isum[ii], ii+1, 1), candidate_sigma(csum[ii]/(ii+1), 1, 1) + print(candidate_sigma(isum[ii], ii+1, 1), candidate_sigma(csum[ii]/(ii+1), 1, 1)) diff --git a/lib/python/filterbank.py b/lib/python/filterbank.py index abeede864..86f23608c 100644 --- a/lib/python/filterbank.py +++ b/lib/python/filterbank.py @@ -4,6 +4,7 @@ Patrick Lazarus, June 26, 2012 (Minor modification from file originally from June 6th, 2009) """ +from __future__ import print_function import sys import warnings @@ -45,7 +46,7 @@ def create_filterbank_file(outfn, header, spectra=None, nbits=8, \ # Only add recognized parameters continue if verbose: - print "Writing header param (%s)" % paramname + print("Writing header param (%s)" % paramname) value = header[paramname] outfile.write(sigproc.addto_hdr(paramname, value)) outfile.write(sigproc.addto_hdr("HEADER_END", None)) @@ -133,10 +134,10 @@ def read_header(filename, verbose=False): paramname = "" while (paramname != 'HEADER_END'): if verbose: - print "File location: %d" % filfile.tell() + print("File location: %d" % filfile.tell()) paramname, val = sigproc.read_hdr_val(filfile, stdout=verbose) if verbose: - print "Read param %s (value: %s)" % (paramname, val) + print("Read param %s (value: %s)" % (paramname, val)) if paramname not in ["HEADER_START", "HEADER_END"]: header[paramname] = val header_size = filfile.tell() @@ -286,7 +287,7 @@ def write_spectra(self, spectra, ispec): def __getattr__(self, name): if name in self.header: if DEBUG: - print "Fetching header param (%s)" % name + print("Fetching header param (%s)" % name) val = self.header[name] else: raise ValueError("No FilterbankFile attribute called '%s'" % name) @@ -298,7 +299,7 @@ def print_header(self): for param in sorted(self.header.keys()): if param in ("HEADER_START", "HEADER_END"): continue - print "%s: %s" % (param, self.header[param]) + print("%s: %s" % (param, self.header[param])) def main(): diff --git a/lib/python/injectpsr.py b/lib/python/injectpsr.py deleted file mode 120000 index 09bd47169..000000000 --- a/lib/python/injectpsr.py +++ /dev/null @@ -1 +0,0 @@ -../../bin/injectpsr.py \ No newline at end of file diff --git a/lib/python/injectpsr.py b/lib/python/injectpsr.py new file mode 100755 index 000000000..0af70e011 --- /dev/null +++ b/lib/python/injectpsr.py @@ -0,0 +1,1269 @@ +#!/usr/bin/env python + +"""Inject a fake pulsar into real data, creating +a filterbank file. + +Patrick Lazarus, June 26, 2012 +""" +from __future__ import print_function +import sys +import argparse +import warnings +import pickle +import copy + +import numpy as np +import scipy.integrate +import scipy.interpolate +import matplotlib +matplotlib.use('agg') # Use a non-interactive backend +import matplotlib.pyplot as plt +import scipy.integrate + +import filterbank +import psr_utils + +DEBUG = False # Print debugging messages + +NUMSECS = 1.0 # Number of seconds of data to use to determine global scale + # when repacking floating-point data into integers +BLOCKSIZE = 1e4 # Number of spectra to manipulate at once +NUMPOINTS = 512 # Number of points to use for spline profiles when applying DM +NINTEG_PER_BIN = 1 # Number of points to average integrate per time bin + +def integrate_phase_bin(prof_func, phs, dphs, nseg=1): + intervals = np.linspace(0, dphs, nseg+1, endpoint=True) + edges = intervals+np.asarray(phs)[...,np.newaxis] + return np.trapz(prof_func(edges), edges, axis=-1) + + +class Profile(object): + """A class to represent a generic pulse profile. + """ + def __init__(self, prof_func, scale=1): + """Construct a profile. + + Inputs: + prof_func: A function of a single variable. + This function should: + 1) Represent the pulse profile. + 2) Expect input values of phase ranging between + 0 and 1. + 3) Work when provided with a numpy array. + scale: An overall scaling factor to multiply + the profile by. + + Output: + prof: The profile object. + """ + self.prof_func = prof_func + self.scale = scale + + def __call__(self, phs): + """Return the value of the profile at the given phase. + + Inputs: + phs: The phase of the profile (between 0 and 1) where + the profile should be evaluated. + + Output: + vals: The values of the profile at the requested phases. + """ + profvals = self.prof_func(phs) + return self.scale*profvals + + def plot(self, nbin=1024, scale=1): + x0 = np.linspace(0, 1.0, nbin+1, endpoint=True) + plt.plot(x0, self(x0)*scale) + plt.xlabel("Phase") + + def get_area(self, npts=4096, **kwargs): + """Return the area under the pulse in units of (intensity x phase). + The area is calculated by evaluating the profile at many points + and numerically integrated using the trapezoid rule. + + NOTE: the scale-factor will be applied. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + area: The area under the pulse in units of (intensity x phase). + """ + phs = np.linspace(0, 1.0, npts+1, endpoint=True) + area = np.trapz(y=self(phs), x=phs) + #area, err = scipy.integrate.quadrature(self, 0, 1, maxiter=250) + return area + + def get_max(self, npts=4096): + """Return the maximum value of the profile. + The profile is evaluated at many points. The quantity returned + is the maximum value evaluated. + + NOTE: the scale-factor will be applied. + + Inputs: + npts: The number of points to use when evaluating the + profile. + + Ouput: + profmax: The profile maximum. + """ + phs = np.linspace(0, 1.0, npts+1, endpoint=True) + profmax = np.max(self(phs)) + return profmax + + def get_fwhm(self, npts=4096): + """Determine and return the FWHM of the profile, in phase. + This only works if two points in the profile are at half-maximum, + and all points in between are larger than half-max. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + fwhm: The full-width at half-maximum of the profile, in phase. + """ + phs = np.linspace(0, 1.0, npts+1, endpoint=True) + vals = self(phs) + profmax = np.max(self(phs)) + halfmax = profmax/2.0 + ma = np.ma.masked_less(vals, halfmax) + # Unmasked region has vals >= halfmax + unmasked = np.ma.notmasked_contiguous(ma) + if len(unmasked) == 1: + sl = unmasked[0] + return ((sl.stop-1) - (sl.start))/float(npts) + elif len(unmasked) == 2: + sl1 = unmasked[0] + sl2 = unmasked[1] + if sl1.start==0 and sl2.stop==len(phs): + # profile straddles phase=0 + return (npts+(sl1.stop-1) - sl2.start)/float(npts) + else: + return None + + + def get_equivalent_width(self, npts=4096): + """Determine and return the equivalent width of the profile, in phase. + The equivalent width is the area under the pulse divided + by the profile's maximum value. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + weq: The equivalent width of the profile, in phase. + """ + return self.get_area(npts=npts)/self.get_max(npts=npts) + + def set_scaling(self, scale): + """Set the profile's scaling factor. + + Input: + scale: The scaling factor to use. + + Outputs: + None + """ + self.scale = scale + + def delay(self, phasedelay): + """Delay the profile and return a new Profile object. + + Input: + phasedelay: The amount of phase to delay the profile by. + + Output: + delayed: The delayed Profile. + """ + delayed_prof = Profile(lambda ph: self((ph-phasedelay) % 1)/self.scale, \ + scale=self.scale) + return delayed_prof + + def convolve_with(self, other, npts=4096, conserve_area=True): + """Convolve Profile with another. Return a SplineProfile + with the requested number of points. + + Inputs: + other: The Profile to convolve with. + npts: The number of points to use when creating the + resulting convolution (i.e. a SplineProfile). + (Default: 4096) + conserve_area: If true, scale the covolution such that + it has the same area as the input profile (i.e. 'self') + + Other: + convolution: The convolution, a SplineProfile object. + """ + phs = np.linspace(0, 1, npts, endpoint=False) + conv_vals = np.fft.irfft(np.fft.rfft(self(phs))*np.fft.rfft(other(phs))) + if conserve_area: + # scale convolution such that area is same as before + # Isn't this already a property of convolutions? Should it always be true? + scale = self.get_area()/np.trapz(conv_vals, phs) + convolution = SplineProfile(conv_vals*scale) + return convolution + + def smear(self, smearphs, delayphs=0, npts=4096): + """Smear the profile with a boxcar of width 'smearphs'. Return + a SplineProfile object sampled with 'npts' points. + + Inputs: + smearphs: The amount (in phase) to smear the profile by. + delayphs: The amount (in phase) to delay the pulse by. + (Default: No delay) + npts: The number of points to use when creating the + smeared SplineProfile. (Default: 4096) + + Output: + smeared: The smeared Profile. + """ + if smearphs < 0: + raise ValueError("Amount of phase to smear by (%g) " \ + "cannot be negative!" % scatterphs) + elif smearphs == 0: + # No scattering to do, return profile + return copy.deepcopy(self) + bc = boxcar_factory(smearphs, delayphs) + return self.convolve_with(bc, npts=npts) + + def scatter(self, scatterphs, npts=4096): + """Scatter the profile with a one-sided exponential of width + 'scatterphs'. Return a SplineProfile object sampled + with 'npts' points. + + Inputs: + scatterphs: The time-scale (in phase) of the exponential + scattering function. + npts: The number of points to use when creating the scattered + SplineProfile. (Default: 4096) + + Outputs: + scattered: The scattered Profile. + """ + if scatterphs < 0: + raise ValueError("Amount of phase to scatter by (%g) " \ + "cannot be negative!" % scatterphs) + elif scatterphs == 0: + # No scattering to do, return profile + return copy.deepcopy(self) + ex = exponential_factory(scatterphs) + return self.convolve_with(ex, npts=npts) + + +class SplineProfile(Profile): + def __init__(self, profvals, scale=1, **spline_kwargs): + """Construct a profile that uses a spline to interpolate a function. + + Inputs: + profvals: The values of the profile to be interpolated. + scale: An overall scaling factor to multiply + the profile by. + **All additional keyword arguments are passed to the + spline constructor. + + Output: + prof: The profile object. + """ + self.profvals = profvals + # TODO: Should we evaluate at the centre of the bins? + phs = np.linspace(0,1, len(profvals)+1, endpoint=True) + # Manually set value at phs=1.0 to the value at phs=0.0 + vals = np.concatenate((profvals, [profvals[0]])) + # Create spline object and use it as the profile function + spline = scipy.interpolate.InterpolatedUnivariateSpline(phs, \ + vals, **spline_kwargs) + super(SplineProfile, self).__init__(spline, scale) + + def __call__(self, phs): + """Return the value of the profile at the given phase. + + Inputs: + phs: The phase of the profile (between 0 and 1) where + the profile should be evaluated. + + Output: + vals: The values of the profile at the requested phases. + """ + vals = super(SplineProfile, self).__call__(phs.flat) + # Re-shape values because spline return flattened array. + vals = np.atleast_1d(vals) + vals.shape = phs.shape + return vals + + +class MultiComponentProfile(Profile): + """A class to represent a pulse profile made up of + multiple components. + """ + def __init__(self, components=None, scale=1): + """Construct a multi-component profile. + + Input: + components: A list of Profile objects that serve + as the components of this MultiComponentProfile + object. (Default: Create a multi-component profile + with no components.) + scale: An overall scaling factor to multiply + the profile by. + + Output: + prof: The MultiComponentProfile object. + """ + self.scale = scale + self.components = [] + for component in components: + self.add_component(component) + super(MultiComponentProfile, self).__init__(self._get_profile(), scale) + + def _get_profile(self): + """Private method to get the pulse profile vs. phase + function. + """ + if self.components: + prof = lambda ph: np.sum([comp(ph) for comp \ + in self.components], axis=0) + else: + prof = lambda ph: 0 + return prof + + def add_component(self, comp): + self.components.append(comp) + + def plot(self, nbin=1024): + super(MultiComponentProfile, self).plot(nbin=nbin) + for comp in self.components: + comp.plot(nbin=nbin, scale=self.scale) + + + +class VectorProfile(object): + """A class to represent a vector of pulse profiles. + This can be used to encode intrinsic profile variation, + or extrisinc smearing/scattering across the band + """ + def __init__(self, profiles, scales=1): + """Construct a vector of profiles. + + Inputs: + profiles: A list of Profile objects. + scales: A numpy array of scaling factors to multiply + the profile vector by when evaluating. + + Output: + prof: The profile object. + """ + self.profiles = profiles + self.nprofs = len(profiles) + self.scales = scales + + def __call__(self, phs): + phs = np.atleast_1d(np.asarray(phs)) + nphs = phs.shape[-1] + vals = np.zeros((nphs, self.nprofs)) + if phs.ndim == 1: + # Evaluate all profiles at the same phases + for ii, (prof, scale) in enumerate(zip(self.profiles, self.scales)): + # If scale is not a finite number don't inject anything for this + # channel + if np.isfinite(scale): + vals[:,ii] = prof(phs)*scale + elif phs.ndim == 2: + # Evaluate each profile at a different set of phases + nphs_vecs = phs.shape[0] + if nphs_vecs != self.nprofs: + raise ValueError("Length of axis=1 of 'phs' (%d) must be " \ + "equal to the number of profiles in the " \ + "vector (%d)." % (nphs_vecs, self.nprofs)) + for ii, (prof, ph, scale) in enumerate(zip(self.profiles, phs, self.scales)): + # If scale is not a finite number don't inject anything for this + # channel + if np.isfinite(scale): + vals[:,ii] = prof(ph)*scale + else: + raise ValueError("VectorProfile can only be evaluated with " \ + "1D or 2D arrays") + return vals + + def set_scaling(self, scales): + """Set the profiles' scaling factors. + + Input: + scales: The scaling factors to use. + + Outputs: + None + """ + arr = np.asarray(scales) + if arr.ndim not in (0, 1): + raise ValueError("Bad number of dimensions for 'scales'. " \ + "Number of dimensions must be 0 or 1. " \ + "Scales provided has %d dimensions." % arr.ndim) + self.scales = arr + + def get_area(self, *args, **kwargs): + """Return the area under the pulse in units of (intensity x phase). + The area is calculated by evaluating the profile at many points + and numerically integrated using the trapezoid rule. + + NOTE: the scale-factor will be applied. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + area: The area under the pulse in units of (intensity x phase). + """ + areas = np.zeros(len(self.profiles)) + for ii, prof in enumerate(self.profiles): + areas[ii] = prof.get_area(*args, **kwargs) + return areas + + def plot(self, nbin=1024, scale=1): + phs = np.linspace(0, 1.0, nbin+1, endpoint=True) + data = self(phs).transpose() + imax = plt.axes((0.1, 0.1, 0.6, 0.8)) + + plt.imshow(data, interpolation='nearest', \ + extent=(0, 1, 0, self.nprofs), aspect='auto') + plt.xlabel("Phase") + plt.ylabel("Channel number") + + plt.axes((0.7, 0.1, 0.25, 0.8), sharey=imax) + plt.plot(np.sum(data, axis=1)[::-1], np.arange(self.nprofs), 'k-') + + # Re-set axes for image + imax.set_xlim(0, 1) + imax.set_ylim(0, self.nprofs) + + +class DispersedProfile(VectorProfile): + def __init__(self, profiles, dm, freqs, period, scales=1, intrinsic=None, delayed=True): + super(DispersedProfile, self).__init__(profiles, scales) + self.dm = dm + self.freqs = freqs + self.period = period + self.intrinsic = intrinsic + self.delayed = delayed + + def get_equivalent_width(self, *args, **kwargs): + return np.ones_like(self.freqs)*self.intrinsic.get_equivalent_width(*args, **kwargs) + + def get_area(self, *args, **kwargs): + return np.ones_like(self.freqs)*self.intrinsic.get_area(*args, **kwargs) + + def get_max(self, *args, **kwargs): + return np.ones_like(self.freqs)*self.intrinsic.get_max(*args, **kwargs) + + def plot(self, nbin=1024, scale=1, dedisp=False): + phs = np.linspace(0, 1.0, nbin+1, endpoint=True) + data = self(phs).transpose() + if self.delayed: + delays = get_phasedelays(self.dm, self.freqs, self.period) + else: + delays = np.zeros_like(self.freqs) + delayedphs = (phs+delays[:,np.newaxis]) % 1 + dedispdata = self(delayedphs).transpose() + + imax = plt.axes((0.1, 0.1, 0.6, 0.6)) + + if dedisp: + plt.imshow(dedispdata, interpolation='nearest', \ + extent=(0, 1, 0, self.nprofs), aspect='auto') + else: + plt.imshow(data, interpolation='nearest', \ + extent=(0, 1, 0, self.nprofs), aspect='auto') + plt.set_cmap('gist_yarg') + plt.xlabel("Phase") + plt.ylabel("Channel number") + + plt.axes((0.7, 0.1, 0.25, 0.6), sharey=imax) + plt.plot(np.sum(data, axis=1)[::-1], np.arange(self.nprofs), 'k-') + + plt.axes((0.1, 0.7, 0.6, 0.25), sharex=imax) + plt.plot(phs, np.sum(dedispdata, axis=0), ls='-', + c='k', lw=1, label='Smeared and scattered', zorder=2) + if self.intrinsic is not None: + plt.plot(phs, self.intrinsic(phs)*np.ma.masked_invalid(self.scales).sum(), + ls='-', c='#bbbbbb', lw=3, label='Input', zorder=1) + plt.legend(loc='best', prop=dict(size='small')) + plt.figtext(0.05, 0.05, "Period = %.3f ms" % (self.period*1000), size='xx-small') + plt.figtext(0.05, 0.035, r"DM = %.3f cm$\mathrm{^{-3}}$pc" % self.dm, size='xx-small') + + # Re-set axes for image + imax.set_xlim(0, 1) + imax.set_ylim(0, self.nprofs) + + +def get_phasedelays(dm, freqs, period): + """Return phase delays corresponding to a particular DM. + + Inputs: + dm: DM (in pc cm-3) + freqs: The list of frequencies (in MHz) + period: The profiles period (in seconds) + + Outputs: + phasedelays: The corresponding phase delays. + """ + # Prepare delays + timedelays = psr_utils.delay_from_DM(dm, freqs) + # Reference all delays to highest frequency channel, which remains + # unchanged + # TODO: Do we really want to refer to high freq? + timedelays -= timedelays[np.argmax(freqs)] + phasedelays = timedelays/period + return phasedelays + + +def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ + do_delay=True, do_smear=True, do_scatter=True, + verbose=True): + """Given a profile apply DM delays, smearing, and scattering + within each channel as is appropriate for the given params. + + Inputs: + inprof: The profile to modify. + period: The profiles period (in seconds) + dm: The DM (in pc cm-3) + chan_width: The width of each channel (in MHz) + freqs: The list of frequencies (in MHz) + tsamp: Sample time of the recipient filterbank file (in seconds). + do_delay: Boolean, if True apply DM delays to each channel. + The highest freq channel is not shifted. (Default: True) + do_smear: Boolean, if True apply DM smearing to each channel. + (Default: True) + do_scatter: Boolean, if True apply scattering to each channel. + (Default: True) + + Outputs: + vecprof: The delayed and smeared VectorProfile. + """ + weq = inprof.get_equivalent_width() + nfreqs = len(freqs) + if verbose: + print("Applying DM to profile (DM = %.2f; %d channels)..." % \ + (dm, nfreqs)) + # A list of profiles, one for each channel + profiles = [] + + if dm <= 0: + warnings.warn("DM will not be applied because it is 0 (or smaller?!)") + do_delay = False + do_smear = False + do_scatter = False + + if do_delay: + phasedelays = get_phasedelays(dm, freqs, period) + else: + phasedelays = np.zeros(nfreqs) + + # Prepare for smear campaign + smeartimes = psr_utils.dm_smear(dm, abs(chan_width), freqs) # In seconds + smearphases = smeartimes/period + + # Prepare to scatter + scattertimes = psr_utils.pulse_broadening(dm, freqs)*1e-3 # In seconds + scatterphases = scattertimes/period + + if DEBUG: + for ichan, (freq, smear, scatt, delay) in \ + enumerate(zip(freqs, smearphases, scatterphases, phasedelays)): + print(" Chan #%d - Freq: %.3f MHz -- " \ + "Smearing, scattering, delay (all in phase): " \ + "%g, %g, %g" % (ichan, freq, smear, scatt, delay)) + oldprogress = 0 + sys.stdout.write(" %3.0f %%\r" % oldprogress) + sys.stdout.flush() +# ylim = None +# ylim2 = None +# ylim3 = None +# ylim4 = None +# ylim5 = None + for ii, (delayphs, smearphs, scattphs) in \ + enumerate(zip(phasedelays, smearphases, scatterphases)): + ######### + # DEBUG: plot all profiles +# plt.clf() +# ax = plt.subplot(5,1,1) +# inprof.plot() +# if ylim is not None: +# ax.set_ylim(ylim) +# else: +# ylim = ax.get_ylim() + + if do_smear and not ((smearphs < 0.2*weq) or (smearphs < (tsamp/period))): + # Only smear if requested and smearing-phase is large enough +# bc = boxcar_factory(smearphs, delayphs) +# ax2 = plt.subplot(5,1,2,sharex=ax) +# bc.plot() +# if ylim2 is not None: +# ax2.set_ylim(ylim2) +# else: +# ylim2 = ax2.get_ylim() + if DEBUG: + print("Smearing") + tmpprof = inprof.smear(smearphs, delayphs, npts=NUMPOINTS) + else: + tmpprof = inprof.delay(delayphs) + phs = np.linspace(0, 1, NUMPOINTS+1) + tmpprof = SplineProfile(tmpprof(phs)) +# ax3 = plt.subplot(5,1,3,sharex=ax) +# if ylim3 is not None: +# ax3.set_ylim(ylim3) +# else: +# ylim3 = ax3.get_ylim() +# tmpprof.plot() + if do_scatter and not ((scattphs < 0.2*weq) or (scattphs < (tsamp/period))): + # Only scatter if requested and scattering-phase is large enough +# ex = exponential_factory(scattphs) +# ax4 = plt.subplot(5,1,4,sharex=ax) +# ex.plot() +# if ylim4 is not None: +# ax4.set_ylim(ylim4) +# else: +# ylim4 = ax4.get_ylim() + if DEBUG: + print("Scattering") + tmpprof = tmpprof.scatter(scattphs, npts=NUMPOINTS) +# ax5 = plt.subplot(5,1,5,sharex=ax) +# tmpprof.plot() +# if ylim5 is not None: +# ax5.set_ylim(ylim5) +# else: +# ylim5 = ax5.get_ylim() + profiles.append(tmpprof) +# plt.xlim(0,1) +# plt.xlabel("Phase") +# plt.suptitle("Prof %d (%f MHz)" % (ii, freqs[ii])) +# plt.savefig("prof%d.png" % ii) + ######### + # Print progress to screen + progress = int(100.0*ii/nfreqs) + if progress > oldprogress: + sys.stdout.write(" %3.0f %%\r" % progress) + sys.stdout.flush() + oldprogress = progress + sys.stdout.write("Done \n") + sys.stdout.flush() + dispersedprof = DispersedProfile(profiles, dm=dm, freqs=freqs, period=period, + intrinsic=inprof, delayed=do_delay) + return dispersedprof + + +def get_spline_profile(prof, npts=1024, **spline_kwargs): + """Given a profile object evaluate it and return + a SplineProfile object. If the input profile object + is already an instance of SplineProfile, do nothing + and return the input profile. + + Inputs: + prof: The profile object to conver to a SplineProfile. + npts: The number of points to use when evaluating the + profile. (Default: 1024) + **All additional keyword arguments are passed to the + spline constructor. + + Outputs: + spline_prof: The resulting SplineProfile object. + """ + if isinstance(prof, SplineProfile): + # Input profile is already a SplineProfile. Do nothing. Return it. + return prof + else: + phs = np.linspace(0,1, npts, endpoint=False) + profvals = prof(phs)/prof.scale + spline_prof = SplineProfile(profvals, scale=prof.scale, **spline_kwargs) + return spline_prof + + +def vonmises_factory(amp,shape,loc): + """Return a Profile with a single von Mises component. + + Inputs: + amp: Amplitude of the von Mises function. + shape: A parameter characterising the width + (NOTE: this value is not directly the width.) + loc: Phase of the peak of the von Mises function. + + Output: + vm_prof: A Profile object with a von Mises profile described + by the input parameters. + """ + # Need to use a factory for the von Mises functions + # to make sure the lambda uses amp,shape,loc from a local + # scope. The values in a lambda function are stored by reference + # and only looked up dynamically when the function is called. + def vm(ph): + return amp*np.exp(shape*(np.cos(2*np.pi*(ph-loc))-1)) + return Profile(vm) + + +def boxcar_factory(width, delay=0): + """Return a boxcar Profile scaled to have unit area. + + Inputs: + width: The width of the boxcar function in phase. + NOTE: if width > 1, it will be folded + delay: The delay, in phase, to apply to the boxcar. + NOTE: positive delays cause the boxcar to be shifted + (Default: No delay) + to the right (i.e. larger pulse phase) + + Output: + boxcar_prof: A boxcar Profile object with the given width. + """ + width = float(width) # Make sure width is a floating-point number + delay = delay % 1 # Make sure delay is in [0, 1) + nwraps = int(width/1) + rem = ((width%1)+delay)%1 + if delay < rem: + # Boxcar does not straddle phase=1 + def bc(ph): + return (nwraps + ((delay<=ph) & (ph 1: + injected = spectra+toinject + else: + injected = spectra+toinject[:,np.newaxis] + scaled = (injected-minimum)*global_scale + if inplace: + outfil.write_spectra(scaled, lobin) + else: + outfil.append_spectra(scaled) + + # Print progress to screen + progress = int(100.0*hibin/fil.nspec) + if progress > oldprogress: + sys.stdout.write(" %3.0f %%\r" % progress) + sys.stdout.flush() + oldprogress = progress + + # Prepare for next iteration + lobin = hibin + spectra = fil.get_spectra(lobin, lobin+block_size) + numread = spectra.shape[0] + + sys.stdout.write("Done \n") + sys.stdout.flush() + + +def load_profile(infn, verbose=True): + if verbose: + print("Loading profile from file (%s)" % infn) + data = np.load(infn) + profiles = [] + for key in sorted(data.keys()): + profiles.append(SplineProfile(data[key])) + prof = VectorProfile(profiles) + data.close() + return prof + + +def save_profile(prof, outfn, verbose=True): + if verbose: + print("Writing %s instance to file (%s)" % \ + (type(prof).__name__, outfn)) + outfile = open(outfn, 'wb') + profvals = {} + for ii, pp in enumerate(prof.profiles): + profvals['chan%d' % ii] = pp.profvals + np.savez(outfile, **profvals) + outfile.close() + + +def parse_cfgstr(cfgstrs): + cfgs = {} + for cfgstr in cfgstrs: + for cfg in cfgstr.split(','): + key, val = cfg.split('=') + cfgs[key] = val + return cfgs + + +def get_scaling(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string return the corresponding + scaling factor. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + return float(cfgs['scale']) + + +def get_scaling_from_snr(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string compute the scaling factor + given the SNR. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + snr = float(cfgs['snr']) + rms = float(cfgs['rms']) + scale = scale_from_snr(fil, prof, snr=snr, rms=rms) + return scale + + +def get_scaling_from_smean(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string compute the scaling factor + given the target mean flux density. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + smean = float(cfgs['smean']) + rms = float(cfgs['rms']) + gain = float(cfgs['gain']) + tsys = float(cfgs['tsys']) + snr = snr_from_smean(fil, prof, smean=smean, \ + gain=gain, tsys=tsys) + scale = scale_from_snr(fil, prof, snr, rms=rms) + return scale + + +def get_scaling_from_file(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string read scaling factors from + a text file. The file should have one floating point + number per line. There should be as many lines as there + are frequency channels in the filterbank file. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + fn = cfgs['file'] + smean = float(cfgs['smean']) + col = int(cfgs.get('col', 0)) + + area = prof.get_area() + + # 'conversion_factors' contains the per-channel conversion between mJy + # and receiver units (in units of mJy/rcvr) + conversion_factors = np.loadtxt(fn, usecols=(col,)) + + scales = smean/conversion_factors/area + return scales + + +SCALE_METHODS = {'scale': get_scaling, \ + 'snr': get_scaling_from_snr, \ + 'radiometer': get_scaling_from_smean, \ + 'scalefile': get_scaling_from_file} + +def scale_profile(prof, scale_name, scale_cfgstrs, fil, verbose=True): + """Scale the profile. + + Inputs: + prof: The profile object to scale. + scale_name: The name of the type of scaler to use. + scale_cfgstrs: A list of configuration strings for the scaler. + fil: A FilterbankFile object. + verbose: Print extra information. (Default: True) + + Outputs: + None - the scalings are applied directly to the input profile. + """ + # Determine scaling + scale_getter = SCALE_METHODS[scale_name] + scaling = scale_getter(fil, prof, scale_cfgstrs) + if verbose: + print("Band-averaged scale-factor: %g" % np.ma.masked_invalid(scaling).mean()) + prof.set_scaling(scaling) + + +def make_profile(vonmises, verbose=True): + """Create the profile object to use. + + Inputs: + vonmises: A list of strings defining von mises components. + verbose: Print extra information. (Default: True) + """ + comps = create_vonmises_components(vonmises) + prof = MultiComponentProfile(comps) + if verbose: + print("Creating profile. Number of components: %d" % len(comps)) + print("Profile area (intensity x phase): %g" % prof.get_area()) + print("Equivalent width (phase): %g" % prof.get_equivalent_width()) + print("FWHM (phase): %g" % prof.get_fwhm()) + print("Profile maximum: %g" % prof.get_max()) + prof = get_spline_profile(prof) + return prof + + +def main(): + fn = args.infile + if args.inplace: + fil = filterbank.FilterbankFile(fn, mode='readwrite') + else: + fil = filterbank.FilterbankFile(fn, mode='read') + if args.inprof is not None: + warnings.warn("Saved profiles already may be tuned to a particular " \ + "DM, period and filterbank file (freq, nchans, " \ + "tsamp, etc).") + prof = load_profile(args.inprof) + else: + prof = make_profile(args.vonmises) + prof = apply_dm(prof, args.period, args.dm, \ + fil.foff, fil.frequencies, fil.tsamp) + scale_profile(prof, args.scale_name, args.scale_cfgstrs, fil) + if args.outprof is not None: + save_profile(prof, args.outprof) + + outfn = args.outname % fil.header + print("Showing plot of profile to be injected...") + plt.figure() + plt.clf() + prof.plot(dedisp=True) + plt.xlim(0,1) + plt.savefig(outfn+".ps") + if args.dryrun: + sys.exit() + + inject(fil, outfn, prof, args.period, args.dm, \ + nbitsout=args.output_nbits, block_size=args.block_size, \ + pulsar_only=args.pulsar_only, inplace=args.inplace) + + +def parse_model_file(modelfn): + """Parse a pass model file (*.m) written by paas. + Return a list of parameters describing each component. + In particular (amplitude, shape, phase). + + Input: + modelfn: The name of the model file. + + Outputs: + params: List of parameters for each component. + (i.e. "amplitude shape phase") + """ + mfile = open(modelfn, 'r') + return [" ".join(reversed(line.split())) \ + for line in mfile.readlines()] + + +class ParseMfileAction(argparse.Action): + def __call__(self, parser, namespace, values, option_string=None): + vonmises = getattr(namespace, self.dest) + vonmises.extend(parse_model_file(values)) + + +class ScaleHelpAction(argparse.Action): + def __call__(self, parser, namepsace, values, option_string=None): + helptext = "Scaling methods:\n\n" + \ + "scale - Multiply injected signal by a scaling factor\n" + \ + "Configs: 'scale' - (float) the scaling factor\n\n" + \ + "snr - Scale the injected signal so the integrated \n" + \ + " profile has the given SNR\n" + \ + "Configs: 'snr' - (float) the target SNR\n" + \ + " 'rms' - (float) the RMS of the cleaned DM=0 timeseries\n\n" + \ + "radiometer - Scale the injected signal so the integrated \n" + \ + " profile has the given mean flux density\n" + \ + "Configs: 'smean' - (float) the target mean flux density (in mJy)\n" + \ + " 'gain' - (float) the telescope's gain (in K/Jy)\n" + \ + " 'tsys' - (float) the observing system's temperature (in K)\n" + \ + " 'rms' - (float) the RMS of the cleaned DM=0 timeseries\n\n" + \ + "scalefile - Scale the signal in each channel independently\n" + \ + " according to the scaling factors in the file\n" + \ + "Configs: 'smean' - (float) the target mean flux density\n" + \ + " 'file' - (string) a text file containing per-channel \n" + \ + " conversion factors from flux-density to 'receiver' \n" + \ + " units (in mJy/rcvr).\n" + \ + " Each row should have a single floating-point \n" + \ + " number. The number and order of the rows should \n" + \ + " correspond to the input filterbank file.\n" + \ + " 'col' - (int) The column number to read conversion factors \n" +\ + " from. Columns are numbered starting at 0.\n" + \ + " (Default: first column)\n\n" + sys.stderr.write(helptext) + sys.exit(1) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(prog='injectpsr.py', \ + description="v0.7 Patrick Lazarus (Jan 16, 2014)") + parser.add_argument("--dm", dest='dm', type=float, \ + help="The DM of the (fake) injected pulsar signal. " \ + "(This argument is required.", \ + default=None) + parser.add_argument("-p", "--period", dest='period', \ + default=None, type=float, \ + help="The *topocentric* period (in seconds) of the (fake) injected " \ + "pulsar signal. (This argument is required.)") + parser.add_argument("-c", "--scale-configs", dest='scale_cfgstrs', type=str, \ + required=True, default=[], action='append', \ + help="A string of comma-separated parameters to " \ + "configure how the injected signal is scaled. " \ + "Format is '=,...'") + parser.add_argument("-s", "--scale-method", dest='scale_name', type=str, \ + required=True, \ + help="Name of a method for determining how the " \ + "injected signal is scaled.") + parser.add_argument("--scale-help", dest='show_scale_help', \ + nargs=0, action=ScaleHelpAction, \ + help="Show help text for scaling methods, parameters.") + parser.add_argument("-v", "--vonmises", dest='vonmises', action='append', \ + help="A string of 3 parameters defining a vonmises " \ + "component to be injected. Be sure to quote the " \ + "3 parameters together. The params are: 'amplitude " \ + "shape phase'. Amplitude is not related to SNR in " \ + "any way. Also, phase should be between 0 and 1. " \ + "(Default: if no compoments are provided " \ + "a von Mises with amplitude=1.0, shape=5, and " \ + "phase=0.5 will be used.)", \ + default=[]) + parser.add_argument("-m", "--model-file", dest="vonmises", \ + type=str, action=ParseMfileAction, \ + help="A model file (*.m) as written by 'paas'.") + parser.add_argument("--block-size", dest='block_size', default=BLOCKSIZE, \ + type=float, \ + help="Number of spectra per block. This is the amount " \ + "of data manipulated/written at a time. (Default: " \ + " %d spectra)" % BLOCKSIZE) + parser.add_argument("--nbits", dest='output_nbits', default=None, type=int, \ + help="Number of bits per same to use in output " \ + "filterbank file. (Default: same as input file)") + parser.add_argument("-n", "--dryrun", dest="dryrun", action="store_true", \ + help="Show the pulse profile to be injected and exit. " \ + "(Default: do not show profile, inject it)") + parser.add_argument("--no-apply-dm", dest='apply_dm', action='store_false', \ + default=True, \ + help="Do not apply the DM (i.e. do not delay or smear " \ + "the pulse; Default: Apply DM)") + parser.add_argument("--load-prof", dest="inprof", default=None, \ + help="Load a profile object from file. (Default: " \ + "create a fresh profile object.)") + parser.add_argument("--save-prof", dest='outprof', default=None, \ + help="Save a profile object to file. (Default: " \ + "do not save profile object.)") + parser.add_argument("-o", "--outname", dest='outname', \ + default="injected.fil", \ + help="The name of the output file.") + parser.add_argument("--write-pulsar-only", dest='pulsar_only', \ + action='store_true', \ + help="Only write the pulsar signal to the output file. " + "That is, do not include the data from the input " + "file. This is useful for debugging. (Default: " + "write data from input file _and_ pulsar signal.)") + parser.add_argument("--in-place", dest='inplace', \ + action='store_true', \ + help="Inject the pulsar signal in-place. " \ + "THIS WILL OVERWRITE THE INPUT DATAFILE!" \ + "(Default: Do _not_ inject in-place)") + parser.add_argument("infile", \ + help="File that will receive synthetic pulses.") + args = parser.parse_args() + if args.period is None or args.dm is None: + raise ValueError("Both a period and a DM _must_ be provided!") + if args.scale_name is not None and args.inprof is not None: + raise ValueError("Loading a saved profile via the " \ + "'--load-prof' args is incompatible " \ + "with scaling the profile.") + main() diff --git a/lib/python/kuiper.py b/lib/python/kuiper.py index ad65332ed..e44399b75 100644 --- a/lib/python/kuiper.py +++ b/lib/python/kuiper.py @@ -1,5 +1,7 @@ +from __future__ import print_function import numpy as num import Pgplot +from functools import reduce def noverk(n,k): # This is the combinations formula @@ -95,8 +97,8 @@ def kuiper_uniform_test(data, output=0): labx="Fraction of Data", laby="Cumulative Value", width=2) Pgplot.plotxy(num.asarray([0.0, 1.0]), num.asarray([0.0, 1.0]), width=1) Pgplot.closeplot() - print "Max distance between the cumulative distributions (D) = %.5g" % D - print "Prob the data is from the specified distrbution (P) = %.3g" % P + print("Max distance between the cumulative distributions (D) = %.5g" % D) + print("Prob the data is from the specified distrbution (P) = %.3g" % P) return (D, P) if __name__=="__main__": @@ -105,10 +107,10 @@ def kuiper_uniform_test(data, output=0): for ii in range(4): N = 200 data = num.random.random(N) - print "-------" - print "K-S:" + print("-------") + print("K-S:") (D, P) = KS_test(data, cum_uniform_dist, output=1) - print "Kuiper:" + print("Kuiper:") (D, P) = kuiper_uniform_test(data, output=1) if (1): from Pgplot import * diff --git a/lib/python/mpfit.py b/lib/python/mpfit.py index 3133d9bd7..531239aad 100644 --- a/lib/python/mpfit.py +++ b/lib/python/mpfit.py @@ -400,6 +400,7 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) Translated from MPFIT (Craig Markwardt's IDL package) to Python, August, 2002. Mark Rivers """ +from __future__ import print_function import numpy import types @@ -870,11 +871,11 @@ def iterfunct(myfunct, p, iter, fnorm, functkw=None, ## Be sure that PARINFO is of the right type if (parinfo is not None): - if (type(parinfo) != types.ListType): + if (type(parinfo) != list): self.errmsg = 'ERROR: PARINFO must be a list of dictionaries.' return else: - if (type(parinfo[0]) != types.DictionaryType): + if (type(parinfo[0]) != dict): self.errmsg = 'ERROR: PARINFO must be a list of dictionaries.' return if ((xall is not None) and (len(xall) != len(parinfo))): @@ -1342,7 +1343,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, quiet=0, iterstop=None, parinfo=None, format=None, pformat='%.10g', dof=1): - if (self.debug): print 'Entering defiter...' + if (self.debug): print('Entering defiter...') if (quiet): return if (fnorm is None): [status, fvec] = self.call(fcn, x, functkw) @@ -1350,7 +1351,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, ## Determine which parameters to print nprint = len(x) - print "Iter ", ('%6i' % iter)," CHI-SQUARE = ",('%.10g' % fnorm)," DOF = ", ('%i' % dof) + print("Iter ", ('%6i' % iter)," CHI-SQUARE = ",('%.10g' % fnorm)," DOF = ", ('%i' % dof)) for i in range(nprint): if (parinfo is not None) and (parinfo[i].has_key('parname')): p = ' ' + parinfo[i]['parname'] + ' = ' @@ -1361,7 +1362,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, else: iprint = 1 if (iprint): - print p + (pformat % x[i]) + ' ' + print(p + (pformat % x[i]) + ' ') return(0) ## DO_ITERSTOP: @@ -1383,7 +1384,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, ## Procedure to parse the parameter values in PARINFO, which is a list of dictionaries def parinfo(self, parinfo=None, key='a', default=None, n=0): - if (self.debug): print 'Entering parinfo...' + if (self.debug): print('Entering parinfo...') if (n == 0) and (parinfo is not None): n = len(parinfo) if (n == 0): values = default @@ -1398,10 +1399,10 @@ def parinfo(self, parinfo=None, key='a', default=None, n=0): # Convert to numeric arrays if possible test = default - if (type(default) == types.ListType): test=default[0] - if isinstance(test, types.IntType): + if (type(default) == list): test=default[0] + if isinstance(test, int): values = numpy.asarray(values, numpy.int) - elif isinstance(test, types.FloatType): + elif isinstance(test, float): values = numpy.asarray(values, numpy.float) return(values) @@ -1409,7 +1410,7 @@ def parinfo(self, parinfo=None, key='a', default=None, n=0): ## Call user function or procedure, with _EXTRA or not, with ## derivatives or not. def call(self, fcn, x, functkw, fjac=None): - if (self.debug): print 'Entering call...' + if (self.debug): print('Entering call...') if (self.qanytied): x = self.tie(x, self.ptied) self.nfev = self.nfev + 1 if (fjac is None): @@ -1426,7 +1427,7 @@ def call(self, fcn, x, functkw, fjac=None): def enorm(self, vec): - if (self.debug): print 'Entering enorm...' + if (self.debug): print('Entering enorm...') ## NOTE: it turns out that, for systems that have a lot of data ## points, this routine is a big computing bottleneck. The extended ## computations that need to be done cannot be effectively @@ -1459,7 +1460,7 @@ def fdjac2(self, fcn, x, fvec, step=None, ulimited=None, ulimit=None, dside=None epsfcn=None, autoderivative=1, functkw=None, xall=None, ifree=None, dstep=None): - if (self.debug): print 'Entering fdjac2...' + if (self.debug): print('Entering fdjac2...') machep = self.machar.machep if epsfcn is None: epsfcn = machep if xall is None: xall = x @@ -1481,7 +1482,7 @@ def fdjac2(self, fcn, x, fvec, step=None, ulimited=None, ulimit=None, dside=None fjac = pderiv if fjac.shape != (m, nall): - print 'ERROR: Derivative matrix was not computed properly.' + print('ERROR: Derivative matrix was not computed properly.') return(None) ## This definition is c1onsistent with CURVEFIT @@ -1672,7 +1673,7 @@ def fdjac2(self, fcn, x, fvec, step=None, ulimited=None, ulimit=None, dside=None def qrfac(self, a, pivot=0): - if (self.debug): print 'Entering qrfac...' + if (self.debug): print('Entering qrfac...') machep = self.machar.machep sz = numpy.shape(a) m = sz[0] @@ -1824,7 +1825,7 @@ def qrfac(self, a, pivot=0): # def qrsolv(self, r, ipvt, diag, qtb, sdiag): - if (self.debug): print 'Entering qrsolv...' + if (self.debug): print('Entering qrsolv...') sz = numpy.shape(r) m = sz[0] n = sz[1] @@ -1891,7 +1892,7 @@ def qrsolv(self, r, ipvt, diag, qtb, sdiag): wa[j] = (wa[j]-sum)/sdiag[j] ## Permute the components of z back to components of x - print "wa = ",wa, ipvt + print("wa = ",wa, ipvt) numpy.put(x, ipvt, wa) return(r, x, sdiag) @@ -1994,7 +1995,7 @@ def qrsolv(self, r, ipvt, diag, qtb, sdiag): def lmpar(self, r, ipvt, diag, qtb, delta, x, sdiag, par=None): - if (self.debug): print 'Entering lmpar...' + if (self.debug): print('Entering lmpar...') dwarf = self.machar.minnum sz = numpy.shape(r) m = sz[0] @@ -2101,7 +2102,7 @@ def lmpar(self, r, ipvt, diag, qtb, delta, x, sdiag, par=None): ## Procedure to tie one parameter to another. def tie(self, p, ptied=None): - if (self.debug): print 'Entering tie...' + if (self.debug): print('Entering tie...') if (ptied is None): return for i in range(len(ptied)): if ptied[i] == '': continue @@ -2179,14 +2180,14 @@ def tie(self, p, ptied=None): def calc_covar(self, rr, ipvt=None, tol=1.e-14): - if (self.debug): print 'Entering calc_covar...' + if (self.debug): print('Entering calc_covar...') if numpy.rank(rr) != 2: - print 'ERROR: r must be a two-dimensional matrix' + print('ERROR: r must be a two-dimensional matrix') return(-1) s = numpy.shape(rr) n = s[0] if s[0] != s[1]: - print 'ERROR: r must be a square matrix' + print('ERROR: r must be a square matrix') return(-1) if (ipvt is None): ipvt = numpy.arange(n) diff --git a/lib/python/parfile.py b/lib/python/parfile.py index f16a0840d..58c141eca 100644 --- a/lib/python/parfile.py +++ b/lib/python/parfile.py @@ -1,3 +1,4 @@ +from __future__ import print_function from types import StringType, FloatType import math, re import psr_utils as pu @@ -199,4 +200,4 @@ def __str__(self): if __name__ == '__main__': a = psr_par("2140-2310A.par") - print a + print(a) diff --git a/lib/python/polycos.py b/lib/python/polycos.py index 0006e65a5..4c351dd67 100644 --- a/lib/python/polycos.py +++ b/lib/python/polycos.py @@ -233,7 +233,7 @@ def create_polycos(parfn, telescope_id, center_freq, start_mjd, end_mjd, \ Output: new_polycos: a polycos object. """ - if type(parfn)==types.StringType: + if type(parfn)==bytes: # assume parfn is a filename par = parfile.psr_par(parfn) else: diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index ed477f0b1..7a1bb651f 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import copy, random, struct, sys import psr_utils, infodata, polycos, Pgplot @@ -120,7 +121,7 @@ def __init__(self, filename): self.bestdm = 0.0 self.numchan = 1 except IOError: - print "Warning! Can't open the .inf file for "+filename+"!" + print("Warning! Can't open the .inf file for "+filename+"!") self.binspersec = self.fold_p1*self.proflen self.chanpersub = self.numchan/self.nsub self.subdeltafreq = self.chan_wid*self.chanpersub @@ -238,7 +239,7 @@ def dedisperse(self, DM=None, interp=0, doppler=0): self.subdelays_bins += new_subdelays_bins self.sumprof = self.profs.sum(0).sum(0) if Num.fabs((self.sumprof/self.proflen).sum() - self.avgprof) > 1.0: - print "self.avgprof is not the correct value!" + print("self.avgprof is not the correct value!") self.currdm = DM def freq_offsets(self, p=None, pd=None, pdd=None): @@ -450,7 +451,7 @@ def adjust_period(self, p=None, pd=None, pdd=None, interp=0): self.sumprof = self.profs.sum(0).sum(0) if Num.fabs((self.sumprof/self.proflen).sum() - self.avgprof) > 1.0: - print "self.avgprof is not the correct value!" + print("self.avgprof is not the correct value!") # Save current p, pd, pdd self.curr_p1, self.curr_p2, self.curr_p3 = p, pd, pdd @@ -462,14 +463,14 @@ def combine_profs(self, new_npart, new_nsub): array of profiles. """ if (self.npart % new_npart): - print "Warning! The new number of intervals (%d) is not a" % new_npart - print " divisor of the original number of intervals (%d)!" % self.npart - print "Doing nothing." + print("Warning! The new number of intervals (%d) is not a" % new_npart) + print(" divisor of the original number of intervals (%d)!" % self.npart) + print("Doing nothing.") return None if (self.nsub % new_nsub): - print "Warning! The new number of subbands (%d) is not a" % new_nsub - print " divisor of the original number of subbands (%d)!" % self.nsub - print "Doing nothing." + print("Warning! The new number of subbands (%d) is not a" % new_nsub) + print(" divisor of the original number of subbands (%d)!" % self.nsub) + print("Doing nothing.") return None dp = self.npart/new_npart @@ -518,8 +519,8 @@ def plot_sumprof(self, device='/xwin'): plot_sumprof(self, device='/xwin'): Plot the dedispersed and summed profile. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() normprof = self.sumprof - min(self.sumprof) normprof /= max(normprof) @@ -547,8 +548,8 @@ def plot_intervals(self, phasebins='All', device='/xwin'): by the phasebins option if it is a tuple (low,high) instead of the string 'All'. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if phasebins is not 'All': lo, hi = phasebins @@ -570,8 +571,8 @@ def plot_subbands(self, phasebins='All', device='/xwin'): by the phasebins option if it is a tuple (low,high) instead of the string 'All'. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if phasebins is not 'All': lo, hi = phasebins @@ -606,8 +607,8 @@ def calc_redchi2(self, prof=None, avg=None, var=None): calc_redchi2(self, prof=None, avg=None, var=None): Return the calculated reduced-chi^2 of the current summed profile. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if prof is None: prof = self.sumprof if avg is None: avg = self.avgprof @@ -713,11 +714,11 @@ def adjust_fold_frequency(self, phasebins, profs=None, shiftsubs=False): If shiftsubs is not False, then actually correct the subbands instead of a 2D projection of them. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if shiftsubs: - print "Shifting all the subbands..." + print("Shifting all the subbands...") if profs is None: profs = self.profs for ii in range(self.npart): @@ -726,14 +727,14 @@ def adjust_fold_frequency(self, phasebins, profs=None, shiftsubs=False): profs[ii,jj] = psr_utils.rotate(profs[ii,jj], bins_to_shift) redchi = self.calc_redchi2(prof=profs.sum(0).sum(0)) else: - print "Shifting just the projected intervals (not individual subbands)..." + print("Shifting just the projected intervals (not individual subbands)...") if profs is None: profs = self.profs.sum(1) for ii in range(self.npart): bins_to_shift = int(round(float(ii)/self.npart * phasebins)) profs[ii] = psr_utils.rotate(profs[ii], bins_to_shift) redchi = self.calc_redchi2(prof=profs.sum(0)) - print "New reduced-chi^2 =", redchi + print("New reduced-chi^2 =", redchi) return profs, redchi def dynamic_spectra(self, onbins, combineints=1, combinechans=1, @@ -756,8 +757,8 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, numon = len(onbins) numoff = len(offbins) # De-disperse if required first - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() # The following is the average offpulse level offpulse = Num.sum(Num.take(self.profs, offbins, 2), 2)/float(numoff) @@ -784,7 +785,7 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, # Now reshape and add the neighboring intervals self.DS = Num.reshape(self.DS, (self.DSnpart/combineints, combineints, self.DSnsub)) - print Num.shape(self.DS) + print(Num.shape(self.DS)) self.DS = Num.sum(self.DS, 1) self.DSstart_secs = self.DSstart_secs[::combineints] self.DSintdt *= combineints @@ -802,7 +803,7 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, self.DSsubfreqs = psr_utils.running_avg(self.subfreqs[:self.DSnsub], combinechans) self.DSsubdeltafreq *= combinechans self.DSnsub /= combinechans - print "DS shape = ", Num.shape(self.DS) + print("DS shape = ", Num.shape(self.DS)) # Plot it if required if plot: lof = self.subfreqs[0]-0.5*self.DSsubdeltafreq @@ -826,11 +827,11 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, tp = pfd(testpfd) if (0): - print tp.start_secs - print tp.mid_secs - print tp.start_topo_MJDs - print tp.mid_topo_MJDs - print tp.T + print(tp.start_secs) + print(tp.mid_secs) + print(tp.start_topo_MJDs) + print(tp.mid_topo_MJDs) + print(tp.T) #tp.kill_subbands([6,7,8,9,30,31,32,33]) #tp.kill_intervals([2,3,4,5,6]) @@ -842,21 +843,21 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, (chis, DMs) = tp.plot_chi2_vs_DM(0.0, 50.0, 501) best_index = Num.argmax(chis) - print "Best DM = ", DMs[best_index] + print("Best DM = ", DMs[best_index]) tp.dedisperse() tp.plot_subbands() tp.plot_sumprof() - print "DM =", tp.bestdm, "gives reduced chi^2 =", tp.calc_redchi2() + print("DM =", tp.bestdm, "gives reduced chi^2 =", tp.calc_redchi2()) tp.dedisperse(27.0) tp.plot_subbands() tp.plot_sumprof() - print "DM = 27.0 gives reduced chi^2 =", tp.calc_redchi2() + print("DM = 27.0 gives reduced chi^2 =", tp.calc_redchi2()) tp.dedisperse(33.0) tp.plot_subbands() tp.plot_sumprof() - print "DM = 33.0 gives reduced chi^2 =", tp.calc_redchi2() + print("DM = 33.0 gives reduced chi^2 =", tp.calc_redchi2()) tp.plot_intervals() diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 792f65d5a..345f76d3c 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import numpy.fft as FFT import Pgplot, ppgplot, bisect, sinc_interp, parfile @@ -6,7 +7,7 @@ import scipy.optimize.zeros as zeros from psr_constants import * -isintorlong = lambda x: type(x) == type(0) or type(x) == type(0L) +isintorlong = lambda x: type(x) == type(0) or type(x) == type(0) def span(Min, Max, Number): """ @@ -133,8 +134,8 @@ def KS_test(data, cumdist, output=0): D = max((D1, D2)) P = kolmogorov(Num.sqrt(nn)*D) if (output): - print "Max distance between the cumulative distributions (D) = %.5g" % D - print "Prob the data is from the specified distrbution (P) = %.3g" % P + print("Max distance between the cumulative distributions (D) = %.5g" % D) + print("Prob the data is from the specified distrbution (P) = %.3g" % P) return (D, P) def weighted_mean(arrin, weights_in, inputmean=None, calcerr=False, sdev=False): @@ -453,29 +454,29 @@ def ELL1_check(par_file, output=False): lhs = psr.A1 * psr.E**2.0 * 1e6 except: if output: - print "Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?" + print("Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?") return try: rhs = psr.TRES / Num.sqrt(psr.NTOA) except: if output: - print "Can't compute TRES / sqrt(# TOAs), maybe this isn't a TEMPO output parfile?" + print("Can't compute TRES / sqrt(# TOAs), maybe this isn't a TEMPO output parfile?") return if output: - print "Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:" - print " asini/c * ecc**2 = %8.3g us"%lhs - print " TRES / sqrt(# TOAs) = %8.3g us"%rhs + print("Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:") + print(" asini/c * ecc**2 = %8.3g us"%lhs) + print(" TRES / sqrt(# TOAs) = %8.3g us"%rhs) if lhs * 50.0 < rhs: if output: - print "Should be fine." + print("Should be fine.") return True elif lhs * 5.0 < rhs: if output: - print "Should be OK, but not optimal." + print("Should be OK, but not optimal.") return True else: if output: - print "Should probably use BT or DD instead." + print("Should probably use BT or DD instead.") return False def accel_to_z(accel, T, reffreq, harm=1): @@ -709,16 +710,16 @@ def dm_info(dm=None, dmstep=1.0, freq=1390.0, numchan=512, chanwidth=0.5): Return info about potential DM smearing during an observation. """ BW = chanwidth * numchan - print " Center freq (MHz) = %.3f" % (freq) - print " Number of channels = %d" % (numchan) - print " Channel width (MHz) = %.3g" % (chanwidth) - print " Total bandwidth (MHz) = %.3g" % (BW) - print " DM offset (0.5*step) = %.3g" % (0.5 * dmstep) - print " Smearing over BW (ms) = %.3g" % \ - (1000.0 * dm_smear(0.5 * dmstep, BW, freq)) + print(" Center freq (MHz) = %.3f" % (freq)) + print(" Number of channels = %d" % (numchan)) + print(" Channel width (MHz) = %.3g" % (chanwidth)) + print(" Total bandwidth (MHz) = %.3g" % (BW)) + print(" DM offset (0.5*step) = %.3g" % (0.5 * dmstep)) + print(" Smearing over BW (ms) = %.3g" % \ + (1000.0 * dm_smear(0.5 * dmstep, BW, freq))) if (dm): - print " Smearing per chan (ms) = %.3g" % \ - (1000.0 * dm_smear(dm, chanwidth, freq)) + print(" Smearing per chan (ms) = %.3g" % \ + (1000.0 * dm_smear(dm, chanwidth, freq))) def best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, chanwidth=0.5): """ @@ -730,7 +731,7 @@ def best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, cha tau_chan = dm_smear(dm, chanwidth, freq) tau_samp = dt if (tau_tot**2.0 < (tau_chan**2.0+tau_samp**2.0)): - print "The requested total smearing is smaller than one or more of the components." + print("The requested total smearing is smaller than one or more of the components.") return 0.0 else: return 0.0001205*freq**3.0*2.0/BW*Num.sqrt(tau_tot**2.0-tau_chan**2.0-tau_samp**2.0) @@ -780,12 +781,12 @@ def rrat_period(times, numperiods=20, output=True): numrots = xs.round()[pnum].sum() p = (ts[-1] - ts[0]) / numrots if output: - print "Min, avg, std metric values are %.4f, %.4f, %.4f" % \ - (metric.min(), metric.mean(), metric.std()) - print " Approx period is likely:", ps[pnum] - print "Refined period is likely:", p - print "Rotations between pulses are:" - print dts / p + print("Min, avg, std metric values are %.4f, %.4f, %.4f" % \ + (metric.min(), metric.mean(), metric.std())) + print(" Approx period is likely:", ps[pnum]) + print("Refined period is likely:", p) + print("Rotations between pulses are:") + print(dts / p) return p def guess_DMstep(DM, dt, BW, f_ctr): @@ -1006,11 +1007,11 @@ def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' '* # Splice together the fractional and integer MJDs toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] if dm!=0.0: - print obs+" %13s %8.3f %s %8.2f %9.4f" % \ - (name, freq, toa, toaerr, dm) + print(obs+" %13s %8.3f %s %8.2f %9.4f" % \ + (name, freq, toa, toaerr, dm)) else: - print obs+" %13s %8.3f %s %8.2f" % \ - (name, freq, toa, toaerr) + print(obs+" %13s %8.3f %s %8.2f" % \ + (name, freq, toa, toaerr)) def write_tempo2_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name='unk', flags=""): """ @@ -1021,7 +1022,7 @@ def write_tempo2_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name='unk', toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] if dm != 0.0: flags += "-dm %.4f" % (dm,) - print "%s %f %s %.2f %s %s" % (name,freq,toa,toaerr,obs,flags) + print("%s %f %s %.2f %s %s" % (name,freq,toa,toaerr,obs,flags)) def rotate(arr, bins): """ @@ -1110,7 +1111,7 @@ def downsample(vector, factor): of a vector by an integer factor. """ if (len(vector) % factor): - print "Lenght of 'vector' is not divisible by 'factor'=%d!" % factor + print("Length of 'vector' is not divisible by 'factor'=%d!" % factor) return 0 newvector = Num.reshape(vector, (len(vector)/factor, factor)) return Num.add.reduce(newvector, 1) @@ -1127,9 +1128,9 @@ def measure_phase_corr(profile, template, zoom=10): if (len(template)%len(profile) == 0): zoomprof = zoom*len(template)/len(profile) else: - print "Warning!: The lengths of the template (%d) and profile (%d)" % \ - (len(template), len(profile)) - print " are not the same!" + print("Warning!: The lengths of the template (%d) and profile (%d)" % \ + (len(template), len(profile))) + print(" are not the same!") #itemp = linear_interpolate(rotate(template, Num.argmax(template)), zoomtemp) itemp = linear_interpolate(template, zoomtemp) iprof = linear_interpolate(profile, zoomprof) @@ -1239,7 +1240,7 @@ def read_gaussfitfile(gaussfitfile, proflen): if line.lstrip().startswith("fwhm"): fwhms.append(float(line.split()[2])) if not (len(phass) == len(ampls) == len(fwhms)): - print "Number of phases, amplitudes, and FWHMs are not the same in '%s'!"%gaussfitfile + print("Number of phases, amplitudes, and FWHMs are not the same in '%s'!"%gaussfitfile) return 0.0 phass = Num.asarray(phass) ampls = Num.asarray(ampls) @@ -1325,14 +1326,14 @@ def funct(afpo, profile): resid_std, 2) Pgplot.plotxy([resid_avg, resid_avg], [0.0, 1.0], line=2) Pgplot.closeplot() - print "" - print " Best-fit gaussian integrated 'flux' = ", ret[0][0] - print " Best-fit gaussian FWHM = ", ret[0][1] - print " Best-fit gaussian phase (0.0-1.0) = ", ret[0][2] - print " Baseline (i.e. noise) average = ", ret[0][3] - print " Residuals average = ", resid_avg - print " Residuals standard deviation = ", resid_std - print "" + print("") + print(" Best-fit gaussian integrated 'flux' = ", ret[0][0]) + print(" Best-fit gaussian FWHM = ", ret[0][1]) + print(" Best-fit gaussian phase (0.0-1.0) = ", ret[0][2]) + print(" Baseline (i.e. noise) average = ", ret[0][3]) + print(" Residuals average = ", resid_avg) + print(" Residuals standard deviation = ", resid_std) + print("") return (ret[0][0], ret[0][1], ret[0][2], ret[0][3], resid_avg, resid_std) def twogauss_profile_params(profile, output=0): @@ -1387,17 +1388,17 @@ def min_funct(afpo, profile): resid_std, 2) Pgplot.plotxy([resid_avg, resid_avg], [0.0, 1.0], line=2) Pgplot.closeplot() - print "" - print " Best-fit gaussian integrated 'flux' = ", ret[0][0] - print " Best-fit gaussian FWHM = ", ret[0][1] - print " Best-fit gaussian phase (0.0-1.0) = ", ret[0][2] - print " Best-fit gaussian integrated 'flux' = ", ret[0][3] - print " Best-fit gaussian FWHM = ", ret[0][4] - print " Best-fit gaussian phase (0.0-1.0) = ", ret[0][5] - print " Baseline (i.e. noise) average = ", ret[0][6] - print " Residuals average = ", resid_avg - print " Residuals standard deviation = ", resid_std - print "" + print("") + print(" Best-fit gaussian integrated 'flux' = ", ret[0][0]) + print(" Best-fit gaussian FWHM = ", ret[0][1]) + print(" Best-fit gaussian phase (0.0-1.0) = ", ret[0][2]) + print(" Best-fit gaussian integrated 'flux' = ", ret[0][3]) + print(" Best-fit gaussian FWHM = ", ret[0][4]) + print(" Best-fit gaussian phase (0.0-1.0) = ", ret[0][5]) + print(" Baseline (i.e. noise) average = ", ret[0][6]) + print(" Residuals average = ", resid_avg) + print(" Residuals standard deviation = ", resid_std) + print("") return (ret[0][0], ret[0][1], ret[0][2], ret[0][3], ret[0][4], ret[0][5], ret[0][6], resid_avg, resid_std) @@ -1824,19 +1825,19 @@ def psr_info(porf, pdorfd, time=None, input=None, I=1e45): pdorfd = - pdorfd / (porf * porf) porf = 1.0 / porf [f, fd] = p_to_f(porf, pdorfd) - print "" - print " Period = %f s" % porf - print " P-dot = %g s/s" % pdorfd - print " Frequency = %f Hz" % f - print " F-dot = %g Hz/s" % fd + print("") + print(" Period = %f s" % porf) + print(" P-dot = %g s/s" % pdorfd) + print(" Frequency = %f Hz" % f) + print(" F-dot = %g Hz/s" % fd) if (time): - print " Fourier Freq = %g bins" % (f * time) - print " Fourier F-dot = %g bins" % (fd * time * time) - print " E-dot = %g ergs/s" % pulsar_edot(f, fd, I) - print " Surface B Field = %g gauss" % pulsar_B(f, fd) - print " Characteristic Age = %g years" % pulsar_age(f, fd) - print " Assumed I = %g g cm^2" % I - print "" + print(" Fourier Freq = %g bins" % (f * time)) + print(" Fourier F-dot = %g bins" % (fd * time * time)) + print(" E-dot = %g ergs/s" % pulsar_edot(f, fd, I)) + print(" Surface B Field = %g gauss" % pulsar_B(f, fd)) + print(" Characteristic Age = %g years" % pulsar_age(f, fd)) + print(" Assumed I = %g g cm^2" % I) + print("") def doppler(freq_observed, voverc): """doppler(freq_observed, voverc): diff --git a/lib/python/psrfits.py b/lib/python/psrfits.py index 088874795..bcff68ff5 100644 --- a/lib/python/psrfits.py +++ b/lib/python/psrfits.py @@ -8,6 +8,7 @@ Last Updated: Jul 4, 2016 (Scott Ransom to add 2-bit reading) """ +from __future__ import print_function import re import os import os.path @@ -303,8 +304,8 @@ def __init__(self, filenames): if envval is not None: ival = int(envval) if ((ival > -1) and (ival < self.num_polns)): - print "Using polarisation %d (from 0-%d) from PSRFITS_POLN." % \ - (ival, self.num_polns-1) + print("Using polarisation %d (from 0-%d) from PSRFITS_POLN." % \ + (ival, self.num_polns-1)) self.default_poln = ival self.user_poln = 1 @@ -600,11 +601,11 @@ def debug_mode(mode=None): def main(): specinf = SpectraInfo(args.files) if args.output is not None: - print args.output % specinf + print(args.output % specinf) else: if debug: - print "Reading '%s'" % args.files[0] - print specinf + print("Reading '%s'" % args.files[0]) + print(specinf) if __name__=='__main__': diff --git a/lib/python/pypsrcat.py b/lib/python/pypsrcat.py index 6749e6289..68a9f4cb3 100644 --- a/lib/python/pypsrcat.py +++ b/lib/python/pypsrcat.py @@ -1,3 +1,4 @@ +from __future__ import print_function ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import struct, os, os.path, presto, psr_utils, math @@ -324,7 +325,7 @@ def pack_structs(self): if line[0]=='J': vals = line.split() jname = vals[0][1:] - if pulsars.has_key(jname): + if jname in pulsars: pulsars[jname].alias = vals[2] infile.close() @@ -384,12 +385,12 @@ def pack_structs(self): presto_path = os.getenv("PRESTO") outfilename = os.path.join(presto_path, "lib", "pulsars.cat") outfile = open(outfilename, "w") - print "Writing %d pulsars (%d binaries) to %s" % \ - (len(psrs), num_binaries, outfilename) + print("Writing %d pulsars (%d binaries) to %s" % \ + (len(psrs), num_binaries, outfilename)) for ii, psr in enumerate(psrs): try: outfile.write(psr.pack_structs()) except: - print ii, psr.jname + print(ii, psr.jname) outfile.close() diff --git a/lib/python/residuals.py b/lib/python/residuals.py index d8a0bf3e4..aa648a2fd 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -1,3 +1,4 @@ +from __future__ import print_function # # From the TEMPO Documentation: # @@ -56,7 +57,7 @@ def read_residuals(filename="resid2.tmp"): filelen = infile.tell() if (filelen % reclen or not (reclen==struct.calcsize(rectype))): - print "Warning: possibly reading residuals incorrectly... don't understand record size" + print("Warning: possibly reading residuals incorrectly... don't understand record size") infile.seek(0, 0) # position at file start r.numTOAs = filelen / reclen r.bary_TOA = Num.zeros(r.numTOAs, 'd') diff --git a/lib/python/rfifind.py b/lib/python/rfifind.py index faa3f3d69..85d7f208e 100644 --- a/lib/python/rfifind.py +++ b/lib/python/rfifind.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as np import infodata from scipy.signal import medfilt @@ -189,22 +190,22 @@ def set_zap_chans(self, power=100.0, asigma=5.0, ssigma=2.0, plot=True, self.user_zap_chans | \ self.edge_chans | \ self.no_signal_chans - print "Recommending to zap %d channels:" % len(self.zap_chans) - print " %d channels from Fourier power levels > %.1f" % \ - (len(self.pow_zap_chans), power) - print " %d channels from avgs levels being off by > %.1f sigma" % \ - (len(self.avg_zap_chans), asigma) - print " %d channels from stds levels being off by > %.1f sigma" % \ - (len(self.std_zap_chans), ssigma) - print " %d channels for being within %.3g of the band edge" % \ - (len(self.edge_chans), edges) - print " %d channels were specified by the user" % len(self.user_zap_chans) - print " %d channels for having no variation" % len(self.no_signal_chans) + print("Recommending to zap %d channels:" % len(self.zap_chans)) + print(" %d channels from Fourier power levels > %.1f" % \ + (len(self.pow_zap_chans), power)) + print(" %d channels from avgs levels being off by > %.1f sigma" % \ + (len(self.avg_zap_chans), asigma)) + print(" %d channels from stds levels being off by > %.1f sigma" % \ + (len(self.std_zap_chans), ssigma)) + print(" %d channels for being within %.3g of the band edge" % \ + (len(self.edge_chans), edges)) + print(" %d channels were specified by the user" % len(self.user_zap_chans)) + print(" %d channels for having no variation" % len(self.no_signal_chans)) if usemask: onlymask = self.mask_zap_chans - self.zap_chans - print " The mask recommends %d additional bad channels" % len(onlymask) + print(" The mask recommends %d additional bad channels" % len(onlymask)) if len(onlymask): - print " adding them to the zap_chans list." + print(" adding them to the zap_chans list.") self.zap_chans = self.zap_chans | self.mask_zap_chans self.zap_chans = np.asarray(sorted(list(self.zap_chans))) if plot: self.plot_zapped_bandpass() diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 60cb07910..7e083f968 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys import re import os @@ -119,14 +120,14 @@ def sigma_to_size(sigmas): def print_sift_globals(): - print "r_err =", r_err - print "short_period =", short_period - print "long_period =", long_period - print "sigma_threshold =", sigma_threshold - print "c_pow_threshold =", c_pow_threshold - print "harm_pow_cutoff =", harm_pow_cutoff - print "known_birds_p =", known_birds_p - print "known_birds_f =", known_birds_f + print("r_err =", r_err) + print("short_period =", short_period) + print("long_period =", long_period) + print("sigma_threshold =", sigma_threshold) + print("c_pow_threshold =", c_pow_threshold) + print("harm_pow_cutoff =", harm_pow_cutoff) + print("known_birds_p =", known_birds_p) + print("known_birds_f =", known_birds_f) def parse_power(pow): @@ -190,7 +191,7 @@ def add_as_hit(self, other): self.hits.extend(other.hits) def __str__(self): - cand = self.filename + ':' + `self.candnum` + cand = self.filename + ':' + repr(self.candnum) return "%-65s %7.2f %6.2f %6.2f %s %7.1f %7.1f " \ "%12.6f %10.2f %8.2f " % \ (cand, self.DM, self.snr, self.sigma, \ @@ -742,11 +743,11 @@ def remove_duplicate_candidates(self, verbosity=1): None """ if verbosity >= 1: - print " Sorting the %d candidates by frequency..." % \ - self.get_numcands() + print(" Sorting the %d candidates by frequency..." % \ + self.get_numcands()) self.cands.sort(cmp_freq) if verbosity >= 1: - print " Searching for dupes..." + print(" Searching for dupes...") ii = 0 # Find any match while ii < self.get_numcands(): @@ -777,9 +778,9 @@ def remove_duplicate_candidates(self, verbosity=1): (bestcand.filename, bestcand.candnum) self.mark_as_duplicate(matchind) if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (match.filename, match.candnum, matchind) - print " %s" % match.note + print("Removing %s:%d (index: %d)" % \ + (match.filename, match.candnum, matchind)) + print(" %s" % match.note) # If the best candidate isn't at the same freq # as ii, then it's possible even more hits should # be added. So we don't increment the index @@ -787,7 +788,7 @@ def remove_duplicate_candidates(self, verbosity=1): else: ii += 1 # No candidates to be added as hits, move on if verbosity >= 1: - print "Found %d candidates.\n" % self.get_numcands() + print("Found %d candidates.\n" % self.get_numcands()) self.cands.sort(cmp_sigma) def remove_harmonics(self, verbosity=1): @@ -805,7 +806,7 @@ def remove_harmonics(self, verbosity=1): self.cands.sort(cmp_sigma) f_err = r_err/self.cands[0].T if verbosity >= 1: - print "\nSearching for duplicate harmonics..." + print("\nSearching for duplicate harmonics...") ii = 0 while 1: fundcand = self.cands[ii] @@ -813,7 +814,7 @@ def remove_harmonics(self, verbosity=1): zapj = 0 while 1: harmcand = self.cands[jj] - if zapj: print "Hey!" + if zapj: print("Hey!") for factor in Num.arange(1.0, 17.0): if Num.fabs(fundcand.f - harmcand.f*factor) < f_err*factor: zapj = 1 @@ -826,7 +827,7 @@ def remove_harmonics(self, verbosity=1): harmstr = "%dth" % factor if zapj: if verbosity >= 2: - print "Removing %s:%d (%.2f Hz) because it is " \ + print("Removing %s:%d (%.2f Hz) because it is " \ "a harmonic (%s) of %s:%d (%.2f Hz)" % \ (harmcand.filename, \ harmcand.candnum, \ @@ -834,7 +835,7 @@ def remove_harmonics(self, verbosity=1): harmstr, \ fundcand.filename, \ fundcand.candnum, \ - fundcand.f) + fundcand.f)) break # Check a few other common ratios for numer,denom in zip([3.0, 5.0, 2.0, 4.0, 5.0, \ @@ -844,7 +845,7 @@ def remove_harmonics(self, verbosity=1): factor = numer/denom if Num.fabs(fundcand.f-harmcand.f*factor) < f_err*factor: if verbosity >= 2: - print "Removing %s:%d (%.2f Hz) because it is " \ + print("Removing %s:%d (%.2f Hz) because it is " \ "a harmonic (%d/%dth) of %s:%d (%.2f Hz)" % \ (harmcand.filename, \ harmcand.candnum, \ @@ -853,7 +854,7 @@ def remove_harmonics(self, verbosity=1): numer, \ fundcand.filename, \ fundcand.candnum, \ - fundcand.f) + fundcand.f)) harmstr = "%d/%dth" % (denom, numer) zapj = 1 break @@ -867,9 +868,9 @@ def remove_harmonics(self, verbosity=1): numremoved += 1 self.mark_as_bad(jj, 'harmonic') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (harmcand.filename, harmcand.candnum, jj) - print " %s" % harmcand.note + print("Removing %s:%d (index: %d)" % \ + (harmcand.filename, harmcand.candnum, jj)) + print(" %s" % harmcand.note) zapj = 0 jj -= 1 if jj == ii: @@ -878,7 +879,7 @@ def remove_harmonics(self, verbosity=1): if ii >= len(self.cands) - 1: break if verbosity >= 1: - print "Removed a total of %d harmonics.\n" % numremoved + print("Removed a total of %d harmonics.\n" % numremoved) def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): """Remove the candidates where any of the following are true: @@ -917,9 +918,9 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): (len(currcand.hits), numdms) self.mark_as_bad(ii, 'dmproblem') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (currcand.filename, currcand.candnum, ii) - print " %s" % currcand.note + print("Removing %s:%d (index: %d)" % \ + (currcand.filename, currcand.candnum, ii)) + print(" %s" % currcand.note) continue # Remove all the candidates where the max sigma DM is @@ -935,9 +936,9 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): (hitsigma, hitdm, low_DM_cutoff) self.mark_as_bad(ii, 'dmproblem') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (currcand.filename, currcand.candnum, ii) - print " %s" % currcand.note + print("Removing %s:%d (index: %d)" % \ + (currcand.filename, currcand.candnum, ii)) + print(" %s" % currcand.note) continue # Remove all the candidates where there are no hits at consecutive DMs @@ -953,17 +954,17 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): "consecutive DMs don't have hits)." self.mark_as_bad(ii, 'dmproblem') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (currcand.filename, currcand.candnum, ii) - print " %s" % currcand.note + print("Removing %s:%d (index: %d)" % \ + (currcand.filename, currcand.candnum, ii)) + print(" %s" % currcand.note) continue if verbosity >= 1: - print "Removed %d candidates with DM problems.\n" % numremoved + print("Removed %d candidates with DM problems.\n" % numremoved) if verbosity >= 2: - print " # with too few hits:", num_toofew - print " # with peak SNR too low:", num_toolow - print " # with gaps in DM hits:", num_gaps + print(" # with too few hits:", num_toofew) + print(" # with peak SNR too low:", num_toolow) + print(" # with gaps in DM hits:", num_gaps) def print_cand_summary(self, summaryfilenm=None): """Write a summary of all candidates to file (or stdout). @@ -1215,7 +1216,7 @@ def read_candidates(filenms, prelim_reject=True, track=False): candlist = Candlist(trackbad=track, trackdupes=track) numfiles = len(filenms) if filenms: - print "\nReading candidates from %d files...." % len(filenms) + print("\nReading candidates from %d files...." % len(filenms)) for ii, filenm in enumerate(filenms): curr_candlist = candlist_from_candfile(filenm, trackbad=track, trackdupes=track) if prelim_reject: @@ -1223,9 +1224,9 @@ def read_candidates(filenms, prelim_reject=True, track=False): candlist.extend(curr_candlist) sys.stdout.write(" Read %d of %d files (%d cands)\r" % (ii+1, numfiles, len(candlist))) sys.stdout.flush() - print "\nDone" + print("\nDone") else: - print "Error: There are no candidate files to read!" + print("Error: There are no candidate files to read!") return candlist @@ -1257,9 +1258,9 @@ def sift_directory(dir, outbasenm): # Read candidates found in low acceleration searching lo_accel_fns = glob.glob(os.path.join(dir, '*ACCEL_0')) lo_accel_cands = read_candidates(lo_accel_fns, track=True) - print "Read %d candidates from %d files" % \ - (len(lo_accel_cands), len(lo_accel_fns)) - print "%d candidates passed default rejection" % len(lo_accel_cands) + print("Read %d candidates from %d files" % \ + (len(lo_accel_cands), len(lo_accel_fns))) + print("%d candidates passed default rejection" % len(lo_accel_cands)) if len(lo_accel_cands): lo_accel_cands.remove_duplicate_candidates() if len(lo_accel_cands): @@ -1269,9 +1270,9 @@ def sift_directory(dir, outbasenm): # Read candidates found in high acceleration searching hi_accel_fns = glob.glob(os.path.join(dir, '*ACCEL_50')) hi_accel_cands = read_candidates(hi_accel_fns, track=True) - print "Read %d candidates from %d files" % \ - (len(hi_accel_cands), len(hi_accel_fns)) - print "%d candidates passed default rejection" % len(hi_accel_cands) + print("Read %d candidates from %d files" % \ + (len(hi_accel_cands), len(hi_accel_fns))) + print("%d candidates passed default rejection" % len(hi_accel_cands)) if len(hi_accel_cands): hi_accel_cands.remove_duplicate_candidates() if len(hi_accel_cands): @@ -1283,7 +1284,7 @@ def sift_directory(dir, outbasenm): all_accel_cands.remove_harmonics() # Note: the candidates will be sorted in _sigma_ order, not _SNR_! all_accel_cands.cands.sort(cmp_sigma) - print "Found %d good candidates" % len(all_accel_cands) + print("Found %d good candidates" % len(all_accel_cands)) all_accel_cands.to_file(outbasenm+".accelcands") all_accel_cands.write_cand_report(outbasenm+".accelcands.report") all_accel_cands.print_cand_summary() diff --git a/lib/python/sigproc.py b/lib/python/sigproc.py index 9dca0bdc5..53b57a404 100755 --- a/lib/python/sigproc.py +++ b/lib/python/sigproc.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import os import struct import sys @@ -75,13 +76,13 @@ def ra2radians(src_raj): def read_doubleval(filfile, stdout=False): dblval = struct.unpack('d', filfile.read(8))[0] if stdout: - print " double value = '%20.15f'"%dblval + print(" double value = '%20.15f'"%dblval) return dblval def read_intval(filfile, stdout=False): intval = struct.unpack('i', filfile.read(4))[0] if stdout: - print " int value = '%d'"%intval + print(" int value = '%d'"%intval) return intval def read_charval(filfile, stdout=False): @@ -93,20 +94,20 @@ def read_charval(filfile, stdout=False): def read_longintval(filfile, stdout=False): longintval = struct.unpack('q', filfile.read(8))[0] if stdout: - print " long int value = '%d'"%longintval + print(" long int value = '%d'"%longintval) return longintval def read_string(filfile, stdout=False): strlen = struct.unpack('i', filfile.read(4))[0] strval = filfile.read(strlen) if stdout: - print " string = '%s'"%strval + print(" string = '%s'"%strval) return strval def read_paramname(filfile, stdout=False): paramname = read_string(filfile, stdout=False) if stdout: - print "Read '%s'"%paramname + print("Read '%s'"%paramname) return paramname def read_hdr_val(filfile, stdout=False): @@ -183,13 +184,13 @@ def samples_per_file(infile, hdrdict, hdrlen): numbytes = os.stat(infile)[6] - hdrlen bytes_per_sample = hdrdict['nchans'] * (hdrdict['nbits']/8) if numbytes % bytes_per_sample: - print "Warning!: File does not appear to be of the correct length!" + print("Warning!: File does not appear to be of the correct length!") numsamples = numbytes / bytes_per_sample return numsamples if __name__ == "__main__": if len(sys.argv)==1: - print "\nusage: mod_filterbank_hdr.py infile.fil [outfile.fil]\n" + print("\nusage: mod_filterbank_hdr.py infile.fil [outfile.fil]\n") sys.exit() filhdr = {} newhdr = "" @@ -210,9 +211,9 @@ def samples_per_file(infile, hdrdict, hdrlen): if param=="HEADER_END": break if len(sys.argv) > 2: - print "Writing new header to '%s'"%sys.argv[2] + print("Writing new header to '%s'"%sys.argv[2]) outfile = open(sys.argv[2], 'wb') outfile.write(newhdr) outfile.close() else: - print filhdr + print(filhdr) diff --git a/lib/python/simple_roots.py b/lib/python/simple_roots.py index 581471ea5..c6e0c3305 100644 --- a/lib/python/simple_roots.py +++ b/lib/python/simple_roots.py @@ -1,3 +1,4 @@ +from __future__ import print_function # 'Safe' Newton-Raphson and Secant method # for numerical root-finding # @@ -13,7 +14,7 @@ def bisect(func, lox, hix, TOL=1e-14, MAXIT=200): f = func(lox) fmid = func(hix) if (f * fmid >= 0.0): - print "Root must be bracketed in bisect()!" + print("Root must be bracketed in bisect()!") return 0.0 if (f < 0.0): dx, rtb = hix - lox, lox @@ -27,7 +28,7 @@ def bisect(func, lox, hix, TOL=1e-14, MAXIT=200): rtb = xmid if (abs(dx) < TOL or fmid == 0.0): return rtb - print "Too many bisections in bisect()!" + print("Too many bisections in bisect()!") return 0.0 @@ -64,7 +65,7 @@ def newton_raphson(func, dfunc, lox, hix, TOL=1.0e-14): maxit = 500 fl, fh = func(lox), func(hix) if ((fl > 0.0 and fh > 0.0) or (fl < 0.0 and fh < 0.0)): - print "Root must be bracketed in newtonRaphson()" + print("Root must be bracketed in newtonRaphson()") return 0.0 if (fl == 0.0): return lox if (fh == 0.0): return hix @@ -97,7 +98,7 @@ def newton_raphson(func, dfunc, lox, hix, TOL=1.0e-14): xl=rts else: xh=rts - print "Maximum number of iterations exceeded in newton_raphson()" + print("Maximum number of iterations exceeded in newton_raphson()") return 0.0 # Test code @@ -115,12 +116,12 @@ def dfunc(x): s = secant(func, 0.0, 3.0) bs = bisect(func, 0.0, 3.0) theo = 1.766340286602865756325301235707 - print '' - print 'Finding the root (between 0.0 and 3.0) of:' - print ' x - sin(x) = pi/4' - print '' - print ' Newton-Raphson gives (default accuracy) = %15.14f' % nr - print ' Secant method gives (default accuracy) = %15.14f' % s - print ' Bisection method gives (default accuracy) = %15.14f' % bs - print 'Theoretical result (correct to all shown digits) = %15.14f' % theo - print '' + print('') + print('Finding the root (between 0.0 and 3.0) of:') + print(' x - sin(x) = pi/4') + print('') + print(' Newton-Raphson gives (default accuracy) = %15.14f' % nr) + print(' Secant method gives (default accuracy) = %15.14f' % s) + print(' Bisection method gives (default accuracy) = %15.14f' % bs) + print('Theoretical result (correct to all shown digits) = %15.14f' % theo) + print('') diff --git a/lib/python/sinc_interp.py b/lib/python/sinc_interp.py index 13104992a..42405476e 100644 --- a/lib/python/sinc_interp.py +++ b/lib/python/sinc_interp.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import scipy.special import numpy.fft as FFT @@ -87,11 +88,11 @@ def windowed_sinc_interp(data, newx, halfwidth=None, lo_pt = int(Num.floor(newx)) - halfwidth if lo_pt < 0: lo_pt < 0 - print "Warning: trying to access below the lowest index!" + print("Warning: trying to access below the lowest index!") hi_pt = lo_pt + 2*halfwidth if hi_pt >= len(data): hi_pt = len(data)-1 - print "Warning: trying to access above the highest index!" + print("Warning: trying to access above the highest index!") halfwidth = (hi_pt-lo_pt)/2 pts = Num.arange(2*halfwidth)+lo_pt xs = newx - pts @@ -109,7 +110,7 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): """ zoomfact = int(zoomfact) if (zoomfact < 1): - print "zoomfact must be >= 1." + print("zoomfact must be >= 1.") return 0.0 elif zoomfact==1: return data diff --git a/lib/python/singlepulse/bary_and_topo.py b/lib/python/singlepulse/bary_and_topo.py index 1941dbc32..dcf507788 100755 --- a/lib/python/singlepulse/bary_and_topo.py +++ b/lib/python/singlepulse/bary_and_topo.py @@ -6,6 +6,7 @@ Modified to return topocentric and corresponding barycentric times. """ +from __future__ import print_function from presto.prestoswig import * import numpy as Num import Pgplot @@ -21,7 +22,7 @@ def read_inffile(filename): '.inf' suffix. """ id = infodata() - print "Reading information from", "\""+filename+".inf\"" + print("Reading information from", "\""+filename+".inf\"") readinf(id, filename) return id @@ -56,7 +57,7 @@ def bary_to_topo(infofilenm, rawdatafile=False, ephem="DE200"): elif (obs.telescope == 'MMT'): tel = 'MT' elif (obs.telescope == 'GBT'): tel = 'GB' else: - print "Telescope not recognized." + print("Telescope not recognized.") return 0 elif filetype=="PSRFITS": if not rawdatafile: @@ -76,7 +77,7 @@ def bary_to_topo(infofilenm, rawdatafile=False, ephem="DE200"): elif (rawdatafile.specinfo.telescope == 'MMT'): tel = 'MT' elif (rawdatafile.specinfo.telescope == 'GBT'): tel = 'GB' else: - print "Telescope not recognized." + print("Telescope not recognized.") return 0 barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) avgvel = Num.add.reduce(vel) / nn diff --git a/lib/python/singlepulse/make_spd.py b/lib/python/singlepulse/make_spd.py deleted file mode 120000 index a87aba5f7..000000000 --- a/lib/python/singlepulse/make_spd.py +++ /dev/null @@ -1 +0,0 @@ -../../../bin/make_spd.py \ No newline at end of file diff --git a/lib/python/singlepulse/make_spd.py b/lib/python/singlepulse/make_spd.py new file mode 100755 index 000000000..4c4dc9493 --- /dev/null +++ b/lib/python/singlepulse/make_spd.py @@ -0,0 +1,568 @@ +#!/usr/bin/env python + +""" +make_spd.py + +Make single pulse plots which include the waterfall plots and dedispersed time series with Zero-DM On/Off. +Also includes Signal-to-noise vs DM and DM vs Time subplots. +Usage on the command line: +python make_spd.py [OPTIONS] + +Chitrang Patel - May. 21, 2015 -- Updated on June 10 2016 +""" +from __future__ import print_function +from __future__ import absolute_import + +import sys +import copy +from time import strftime +from subprocess import Popen, PIPE + +import numpy as np +import optparse +import waterfaller +import psr_utils +from . import plot_spd +import singlepulse.spcand as spcand +import singlepulse.spio as spio +import psrfits +import spectra +#import filterbank need to implement in PRESTO + +DEBUG = True +def print_debug(msg): + if DEBUG: + print(msg) + +def waterfall_array(rawdatafile, start, duration, dm, nbins, nsub, subdm, zerodm, \ + downsamp, scaleindep, width_bins, mask, maskfn, bandpass_corr): + """ + Runs the waterfaller. If dedispersing, there will be extra bins added to the 2D plot. + Inputs: + Inputs required for the waterfaller. dm, nbins, etc. + Outputs: + data: 2D array as an "object" + array: 2D array ready to be plotted by sp_pgplot.plot_waterfall(array). + """ + data, bins, nbins, start = waterfaller.waterfall(rawdatafile, start, duration, dm=dm, nbins=nbins, \ + nsub=nsub, subdm=subdm, zerodm=zerodm, \ + downsamp=downsamp, scaleindep=scaleindep, \ + width_bins=width_bins, mask=mask, \ + maskfn=maskfn, bandpass_corr=bandpass_corr) + array = np.array(data.data) + if dm is not None: # If dedispersing the data, extra bins will be added. We need to cut off the extra bins to get back the appropriate window size. + ragfac = float(nbins)/bins + dmrange, trange = array.shape + nbinlim = np.int(trange * ragfac) + else: + nbinlim = nbins + array = array[..., :nbinlim] + array = (array[::-1]).astype(np.float16) + return data, array + +def make_spd_from_file(spdcand, rawdatafile, \ + txtfile, maskfile, \ + min_rank, group_rank, \ + plot, just_waterfall, \ + integrate_ts, integrate_spec, disp_pulse, \ + loc_pulse, nsub, \ + maxnumcands, \ + basename, \ + mask=False, bandpass_corr=True, barytime=True, \ + man_params=None): + + """ + Makes spd files from output files of rratrap. + Inputs: + spdcand: spcand parameters instance (read in spcand.params) + rawdatafile: psrfits file instance + txtfile: rratrap output file (groups.txt file) + maskfile: rfifind mask file. need this file if you want to remove the bandpass + or use rfifind mask information. + min_rank: plot all groups with rank more than this. min 1, max 6 + group_rank: plot groups ranked whatever you specify + plot: do you want to produce the plots as well? + just_waterfall: Do you just want to make the waterfall plots. + integrate_ts: Do you want to display the dedispersed time series in the plot? + integrate_spec: Do you want to display the pulse spectrum in the plot? + disp_pulse: Do you want to see the inset dispersed pulse in the plot? + loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. + 0.5 = middle of the plot) + maxnumcands: What is the maximum number of candidates you would like to generate? + basename: output basename of the file. Appended with _DM_TIME(s)_RANK.spd + Optional arguments: + mask: Do you want to mask out rfi contaminated channels? + bandpass_corr: Do you want to remove the bandpass? + barytime: Is the given time(s) barycentric? + man_params: Do you want to specify the parameters for waterfalling + manually? If yes, I suggest using the function make_spd_from_man_params(). + (I suggest giving it the rratrap output file) + Outputs: + Binary npz file containing the necessary arrays and header information to generate the spd plots. + """ + numcands=0 # counter for max number of candidates + loop_must_break = False # dont break the loop unless num of cands >100. + files = spio.get_textfile(options.txtfile) + if group_rank: + groups=[group_rank-1] + else: + groups = [i for i in range(6) if(i>=min_rank)][::-1] + + for group in groups: + rank = group+1 + if files[group] != "Number of rank %i groups: 0 "%rank: + values = spio.split_parameters(rank, txtfile) + lis = np.where(files == '\tRank: %i.000000'%rank)[0] + for ii in range(len(values)): + #### Arrays for Plotting DM vs SNR + dm_list, time_list, dm_arr, sigma_arr, width_arr = spio.read_RRATrap_info(txtfile, lis[ii], rank) + + + # Array for Plotting Dedispersed waterfall plot - zerodm - OFF + spdcand.read_from_file(values[ii], rawdatafile.tsamp, rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], \ + rawdatafile, loc_pulse=loc_pulse, dedisp = True, \ + scaleindep = None, zerodm = None, mask = mask, \ + barytime=barytime, \ + nsub = nsub, bandpass_corr = bandpass_corr) + + #make an array to store header information for the spd files + temp_filename = basename+"_DM%.1f_%.1fs_rank_%i"%(spdcand.subdm, \ + spdcand.topo_start_time, rank) + + print_debug("Running waterfaller with Zero-DM OFF...") + + # Add additional information to the header information array + data, Data_dedisp_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + + text_array = np.array([args[0], rawdatafile.specinfo.telescope, \ + rawdatafile.specinfo.ra_str, rawdatafile.specinfo.dec_str, \ + rawdatafile.specinfo.start_MJD[0], \ + rank, spdcand.nsub, spdcand.nbins, spdcand.subdm, \ + spdcand.sigma, spdcand.sample_number, spdcand.duration, \ + spdcand.width_bins, spdcand.pulse_width, rawdatafile.tsamp,\ + rawdatafile.specinfo.T, spdcand.topo_start_time, data.starttime, \ + data.dt,data.numspectra, data.freqs.min(), data.freqs.max()]) + + #### Array for plotting Dedispersed waterfall plot zerodm - ON + print_debug("Running Waterfaller with Zero-DM ON...") + zerodm=True + data, Data_dedisp_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + ####Sweeped without zerodm + spdcand.read_from_file(values[ii], rawdatafile.tsamp, rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], \ + rawdatafile, loc_pulse=loc_pulse, dedisp = None, \ + scaleindep = None, zerodm = None, mask = mask, \ + barytime=barytime, \ + nsub = nsub, bandpass_corr = bandpass_corr) + data, Data_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + text_array = np.append(text_array, spdcand.sweep_duration) + text_array = np.append(text_array, data.starttime) + text_array = np.append(text_array, spdcand.bary_start_time) + text_array = np.append(text_array, man_params) + # Array to Construct the sweep + if spdcand.sweep_dm is not None: + ddm = spdcand.sweep_dm-data.dm + delays = psr_utils.delay_from_DM(ddm, data.freqs) + delays -= delays.min() + delays_nozerodm = delays + freqs_nozerodm = data.freqs + # Sweeped with zerodm-on + zerodm = True + #downsamp_temp = 1 + data, Data_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + # Saving the arrays into the .spd file. + with open(temp_filename+".spd", 'wb') as f: + np.savez_compressed(f, \ + Data_dedisp_nozerodm = Data_dedisp_nozerodm.astype(np.float16),\ + Data_dedisp_zerodm = Data_dedisp_zerodm.astype(np.float16),\ + Data_nozerodm = Data_nozerodm.astype(np.float16),\ + delays_nozerodm = delays_nozerodm, \ + freqs_nozerodm = freqs_nozerodm,\ + Data_zerodm = Data_zerodm.astype(np.float16), \ + dm_arr= map(np.float16, dm_arr),\ + sigma_arr = map(np.float16, sigma_arr), \ + width_arr =map(np.uint8, width_arr),\ + dm_list= map(np.float16, dm_list), \ + time_list = map(np.float16, time_list), \ + text_array = text_array) + #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) + if plot: + print_debug("Now plotting...") + plot_spd.plot(temp_filename+".spd", args[1:], \ + spec_width=1.5, loc_pulse=loc_pulse, \ + xwin=False, outfile=basename, \ + just_waterfall=just_waterfall, \ + integrate_spec=integrate_spec, \ + integrate_ts=integrate_ts, \ + disp_pulse=disp_pulse, tar = None) + print_debug("Finished plot %i " %ii+strftime("%Y-%m-%d %H:%M:%S")) + numcands+= 1 + print_debug('Finished sp_candidate : %i'%numcands) + if numcands >= maxnumcands: # Max number of candidates to plot 100. + loop_must_break = True + break + if loop_must_break: + break + + print_debug("Finished group %i... "%rank+strftime("%Y-%m-%d %H:%M:%S")) + print_debug("Finished running waterfaller... "+strftime("%Y-%m-%d %H:%M:%S")) + +def make_spd_from_man_params(spdcand, rawdatafile, \ + txtfile, maskfile, \ + plot, just_waterfall, \ + subdm, dm, sweep_dm, \ + sigma, \ + start_time, duration, \ + width_bins, nbins, downsamp, \ + nsub, \ + scaleindep, \ + spec_width, loc_pulse, \ + integrate_ts, integrate_spec, disp_pulse, \ + basename, \ + mask, bandpass_corr, barytime, man_params): + """ + Makes spd files from output files of rratrap. + Inputs: + spdcand: spcand parameters instance (read in spcand.params) + rawdatafile: psrfits file instance + txtfile: rratrap output file (groups.txt file) + maskfile: rfifind mask file. need this file if you want to remove the bandpass + or use rfifind mask information. + plot: do you want to produce the plots as well? + just_waterfall: Do you just want to make the waterfall plots. + subdm: DM to use when subbanding. + dm: DM to use when dedispersing data for plot. + sweep_dm: Show the frequency sweep using this DM. + sigma: signal-to-noise of the pulse + start_time: start time of the data to be read in for waterfalling. + duration: duration of data to be waterfalled. + width_bins: Smooth each channel/subband with a boxcar width_bins wide. + nbins: Number of time bins to plot. This option overrides + the duration argument. + downsamp: Factor to downsample in time by. Default: Don't downsample. + nsub: Number of subbands to use. Must be a factor of number of channels. + scaleindep:Do you want to scale each subband independently?(Type: Boolean) + spec_width: Twice this number times the pulse_width around the pulse to consider for the spectrum + loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. + 0.5 = middle of the plot) + integrate_ts: Do you want to display the dedispersed time series in the plot? + integrate_spec: Do you want to display the pulse spectrum in the plot? + disp_pulse: Do you want to see the inset dispersed pulse in the plot? + basename: output basename of the file. Appended with _DM_TIME(s)_RANK.spd + mask: Do you want to mask out rfi contaminated channels? + bandpass_corr: Do you want to remove the bandpass? + barytime: Is the given time(s) barycentric? + man_params: Do you want to specify the parameters for waterfalling + manually? If yes, I suggest using the function make_spd_from_man_params(). + (I suggest giving it the rratrap output file) + Outputs: + Binary npz file containing the necessary arrays and header information to generate the spd plots. + """ + rank = None + if not nsub: + nsub = rawdatafile.nchan + + # Array for Plotting Dedispersed waterfall plot - zerodm - OFF + spdcand.manual_params(subdm, dm, sweep_dm, sigma, start_time, \ + width_bins, downsamp, duration, nbins, nsub, rawdatafile.tsamp, \ + rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], rawdatafile, \ + loc_pulse=loc_pulse, dedisp=True, scaleindep=False, zerodm=False, \ + mask=mask, barytime=barytime, bandpass_corr=bandpass_corr) + #make an array to store header information for the spd files + temp_filename = basename+"_DM%.1f_%.1fs"%(spdcand.subdm, spdcand.topo_start_time) + + print_debug("Running waterfaller with Zero-DM OFF...") + data, Data_dedisp_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + # Add additional information to the header information array + text_array = np.array([args[0], rawdatafile.specinfo.telescope, \ + rawdatafile.specinfo.ra_str, rawdatafile.specinfo.dec_str, \ + rawdatafile.specinfo.start_MJD[0], rank, \ + spdcand.nsub, spdcand.nbins, \ + spdcand.subdm, spdcand.sigma, spdcand.sample_number, \ + spdcand.duration, spdcand.width_bins, spdcand.pulse_width, \ + rawdatafile.tsamp, rawdatafile.specinfo.T, spdcand.topo_start_time, \ + data.starttime, data.dt,data.numspectra, data.freqs.min(), \ + data.freqs.max()]) + + #### Array for plotting Dedispersed waterfall plot zerodm - ON + print_debug("Running Waterfaller with Zero-DM ON...") + zerodm=True + data, Data_dedisp_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + ####Sweeped without zerodm + spdcand.manual_params(subdm, dm, sweep_dm, sigma, start_time, \ + width_bins, downsamp, duration, nbins, nsub, rawdatafile.tsamp, \ + rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], rawdatafile, \ + loc_pulse=loc_pulse, dedisp=None, scaleindep=None, zerodm=None, mask=mask, \ + barytime=barytime, bandpass_corr=bandpass_corr) + data, Data_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + text_array = np.append(text_array, spdcand.sweep_duration) + text_array = np.append(text_array, data.starttime) + text_array = np.append(text_array, spdcand.bary_start_time) + text_array = np.append(text_array, man_params) + # Array to Construct the sweep + if spdcand.sweep_dm is not None: + ddm = spdcand.sweep_dm-data.dm + delays = psr_utils.delay_from_DM(ddm, data.freqs) + delays -= delays.min() + delays_nozerodm = delays + freqs_nozerodm = data.freqs + # Sweeped with zerodm-on + zerodm = True + #downsamp_temp = 1 + data, Data_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + with open(temp_filename+".spd", 'wb') as f: + np.savez_compressed(f, \ + Data_dedisp_nozerodm = Data_dedisp_nozerodm.astype(np.float16),\ + Data_dedisp_zerodm = Data_dedisp_zerodm.astype(np.float16),\ + Data_nozerodm = Data_nozerodm.astype(np.float16),\ + delays_nozerodm = delays_nozerodm, \ + freqs_nozerodm = freqs_nozerodm,\ + Data_zerodm = Data_zerodm.astype(np.float16), \ + text_array = text_array) + #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) + if plot: + print_debug("Now plotting...") + plot_spd.plot(temp_filename+".spd", args[1:], \ + spec_width=spec_width, loc_pulse=loc_pulse, xwin=False, \ + outfile = basename, just_waterfall=just_waterfall, \ + integrate_spec=integrate_spec, integrate_ts=integrate_ts, \ + disp_pulse=disp_pulse, tar = None) + +def main(): + fn = args[0] + if fn.endswith(".fil"): + # Filterbank file + filetype = "filterbank" + print_debug("Reading filterbank file..") + rawdatafile = filterbank.filterbank(fn) + basename = fn[:-4] + if fn.endswith(".fits"): + # PSRFITS file + filetype = "psrfits" + print_debug("Reading PSRFITS file..") + rawdatafile = psrfits.PsrfitsFile(fn) + basename = fn[:-5] + else: + raise ValueError("Cannot recognize data file type from " + "extension. (Only '.fits' and '.fil' " + "are supported.)") + + if options.outbasenm: + basename=options.outbasenm + spdcand = spcand.params() + if not options.man_params: + print_debug('Maximum number of candidates to plot: %i'%options.maxnumcands) + make_spd_from_file(spdcand, rawdatafile, \ + options.txtfile, options.maskfile, \ + options.min_rank, options.group_rank, \ + options.plot, options.just_waterfall, \ + options.integrate_ts, options.integrate_spec, options.disp_pulse, \ + options.loc_pulse, options.nsub, \ + options.maxnumcands, \ + basename, \ + mask=options.mask, barytime=options.barytime, \ + bandpass_corr=options.bandpass_corr) + else: + print_debug("Making spd files based on mannual parameters. I suggest" \ + "reading in parameters from the groups.txt file.") + make_spd_from_man_params(spdcand, rawdatafile, \ + options.txtfile, options.maskfile, \ + options.plot, options.just_waterfall, \ + options.subdm, options.dm, options.sweep_dms, \ + options.sigma, \ + options.start, options.duration, \ + options.width_bins, options.nbins, options.downsamp, \ + options.nsub, \ + options.scaleindep, \ + options.spec_width, options.loc_pulse, \ + options.integrate_ts, options.integrate_spec, options.disp_pulse, \ + basename, \ + options.mask, options.bandpass_corr, options.barytime, \ + options.man_params) + +if __name__=='__main__': + parser = optparse.OptionParser(prog="sp_pipeline..py", \ + version=" Chitrang Patel (May. 12, 2015)", \ + usage="%prog INFILE(PsrFits FILE, SINGLEPULSE FILES)", \ + description="Create single pulse plots to show the " \ + "frequency sweeps of a single pulse, " \ + "DM vs time, and SNR vs DM,"\ + "in psrFits data.") + parser.add_option('--groupsfile', dest='txtfile', type='string', \ + help="Give the groups.txt file to read in the groups information.", \ + default=None) + parser.add_option('--maskfile', dest='maskfile', type='string', \ + help="Mask file produced by rfifind. Used for " \ + "masking and bandpass correction.", \ + default=None) + parser.add_option('--mask', dest='mask', action="store_true", \ + help="Mask data using rfifind mask (Default: Don't mask).", \ + default=False) + parser.add_option('--numcands', dest='maxnumcands', type='int', \ + help="Maximum number of candidates to plot. (Default: 100).", \ + default=100) + parser.add_option('--subdm', dest='subdm', type='float', \ + help="DM to use when subbanding. (Default: " \ + "same as --dm)", default=None) + parser.add_option('-s', '--nsub', dest='nsub', type='int', \ + help="Number of subbands to use. Must be a factor " \ + "of number of channels. (Default: " \ + "number of channels)", default=None) + parser.add_option('--sigma', dest='sigma', type='float', \ + help="Signal-to-Noise of the pulse." \ + "(Default: Do not specify. In this case you must specify the " \ + "number of subbands.)", \ + default=None) + parser.add_option('-d', '--dm', dest='dm', type='float', \ + help="DM to use when dedispersing data for plot. " \ + "(Default: 0 pc/cm^3)", default=0.0) + parser.add_option('--show-ts', dest='integrate_ts', action='store_true', \ + help="Plot the time series. " \ + "(Default: Dont show the time series)", default=False) + parser.add_option('--show-spec', dest='integrate_spec', action='store_true', \ + help="Plot the spectrum. " \ + "(Default: Do not show the spectrum)", default=False) + parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice " \ + "this number times the pulse width is the window around the " \ + "pulse considered for the spectrum. (Default: 1.5)", \ + default=1.5) + parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of " \ + "the window length where the pulse is located." \ + "(Default: 0.5: half way in.)", \ + default=0.5) + parser.add_option('--show-sweep', dest='disp_pulse', action='store_true', \ + help="Plot the inset dispersed pulse. " \ + "(Default: Do not show the dispersed pulse)", default=False) + parser.add_option('--bandpass', dest='bandpass_corr', action='store_true', \ + help="Correct for the bandpass. Requires an rfifind " \ + "mask provided by --mask option." \ + "(Default: Do not remove bandpass)", default=False) + parser.add_option('-T', '--start-time', dest='start', type='float', \ + help="Time into observation (in seconds) at which " \ + "to start plot.") + parser.add_option('--notopo', dest='barytime', action='store_false', \ + help="Do not topocenter the given time. Use this option " \ + "only if the given time is topocentric." \ + "(Default: topocenter the given barycentric time)", default=True) + parser.add_option('-t', '--duration', dest='duration', type='float', \ + help="Duration (in seconds) of plot.") + parser.add_option('-n', '--nbins', dest='nbins', type='int', \ + help="Number of time bins to plot. This option takes " \ + "precedence over -t/--duration if both are " \ + "provided.") + parser.add_option('--width-bins', dest='width_bins', type='int', \ + help="Smooth each channel/subband with a boxcar " \ + "this many bins wide. (Default: Don't smooth)", \ + default=1) + parser.add_option('--sweep-dm', dest='sweep_dms', type='float', \ + action='append', \ + help="Show the frequency sweep using this DM. " \ + "(Default: Don't show sweep)", default=[]) + parser.add_option('--sweep-posn', dest='sweep_posns', type='float', \ + action='append', \ + help="Show the frequency sweep at this position. " \ + "The position refers to the high-frequency " \ + "edge of the plot. Also, the position should " \ + "be a number between 0 and 1, where 0 is the " \ + "left edge of the plot. " + "(Default: 0)", default=None) + parser.add_option('--downsamp', dest='downsamp', type='int', \ + help="Factor to downsample data by. (Default: 1).", \ + default=1) + parser.add_option('--scaleindep', dest='scaleindep', action='store_true', \ + help="If this flag is set scale each channel " \ + "independently. (Default: Scale using " \ + "global maximum.)", \ + default=False) + parser.add_option('--min-rank', dest='min_rank', type='int',\ + help="Min rank you want to make spd files for. (Default: 3)"\ + " Rank 1: noise,"\ + " Rank 2: RFI,"\ + " Rank 3: maybe astrophysical, very low S/N,"\ + " Rank 4: probably astrophysical but weak, low S/N,"\ + " Rank 5: Very high chance of being astrophysical. S/N>8.0,"\ + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,",\ + default=3) + parser.add_option('--group-rank', dest='group_rank', type='int',\ + help="Min rank you want to make spd files for. (Default: None)"\ + " Rank 1: noise,"\ + " Rank 2: RFI,"\ + " Rank 3: maybe astrophysical, very low S/N,"\ + " Rank 4: probably astrophysical but weak, low S/N,"\ + " Rank 5: Very high chance of being astrophysical. S/N>8.0,"\ + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,",\ + default=None) + parser.add_option('--use_manual_params', dest='man_params', action='store_true', \ + help="If this flag is not set it will use the parameters " \ + "from the RRATrap groups.txt file. "\ + "(Default: Not use this flag. When using "\ + "parameters from the output of rratrap. Just input"\ + "groups.txt file, mask file, the PSRFITs file"\ + "and the .singlepulse files as input. No need to specify any of"\ + " the other arguments.)",\ + default=False) + parser.add_option('-o', dest='outbasenm', type='string', \ + help="basename of the output spd file.", \ + default=None) + parser.add_option('--noplot', dest='plot', action='store_false', \ + help="Do not generate spd plots.", \ + default=True) + parser.add_option('--just-waterfall', dest='just_waterfall', action='store_true', \ + help="Only produce the waterfall plots (frequency vs Time).", \ + default=False) + options, args = parser.parse_args() + + if not args[0].endswith("fits") or args[0].endswith("fil"): + raise ValueError("The first file must be a psrFits or a filterbank file! ") + if (hasattr(options, 'bandpass_corr')) and (not hasattr(options, 'maskfile')): + raise ValueError("For bandpass correction you need to supply a mask file.") + if not hasattr(options, 'man_params'): + if not hasattr(options, 'txtfile'): + raise ValueError("The groups.txt file must be given on the command line! ") + else: + if not hasattr(options, 'start'): + raise ValueError("Start time (-T/--start-time) " \ + "must be given on command line!") + if (not hasattr(options, 'duration')) and (not hasattr(options, 'nbins')): + raise ValueError("One of duration (-t/--duration) " \ + "and num bins (-n/--nbins)" \ + "must be given on command line!") + if options.subdm is None: + options.subdm = options.dm + + main() diff --git a/lib/python/singlepulse/plot_spd.py b/lib/python/singlepulse/plot_spd.py deleted file mode 120000 index 2821b75af..000000000 --- a/lib/python/singlepulse/plot_spd.py +++ /dev/null @@ -1 +0,0 @@ -../../../bin/plot_spd.py \ No newline at end of file diff --git a/lib/python/singlepulse/plot_spd.py b/lib/python/singlepulse/plot_spd.py new file mode 100755 index 000000000..79a5c1a1a --- /dev/null +++ b/lib/python/singlepulse/plot_spd.py @@ -0,0 +1,529 @@ +#! /usr/bin/env python +""" +plot_spd.py + +Generate spd plots either using information from the .spd files that are generated by make_spd.py. +Usage: plot_spd.py [OPTIONS] <.spd file> <.singlepulse files (optional: + if not provided, will leave DM vs Time window blank).> + +Chitrang Patel - June 10, 2016. +""" +from __future__ import print_function +import numpy as np +import optparse +import tarfile +from subprocess import Popen, PIPE +import singlepulse.sp_pgplot as sp_pgplot +import singlepulse.read_spd as read_spd +import singlepulse.spio as spio + +def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ + integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): + """ + Generates spd plots which include the following subplots: + De-dispersed Zero-DM filtered Waterfall plot + De-dispersed Waterfall plot + optional subplots: + Dispersed Zero-DM filtered Waterfall plot (Inset of the corresponding dedispersed plot). + Dispersed Waterfall plot ((Inset of the corresponding dedispersed plot).). + Dedispersed zero-DM filtered time series for the corresponding waterfall plot. + Dedispersed time series for the corresponding waterfall plot. + Spectra of the de-dispersed pulse for each of the above waterfalled plots. + SNR vs DM + DM vs. Time + + Inputs: + spdfile: A .spd file. + Optional Inputs: + spec_width: Twice this number times the pulse_width around the pulse to consider for the spectrum + loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. + 0.5 = middle of the plot) + singlepulsefiles: list of .singlepulse files + xwin: plot in an xwin window? + outfile: name of the output file you want. + just_waterfall: Do you only want to display the waterfall plots? + integrate_spec: Do you want to show the pulse spectrum? + integrate_ts: Do you want to show the time series? + disp_pulse: Do you want to show the inset dispersed pulse? + tar: Supply the tarball of the singlepulse files instead of individual files. + """ + if not spdfile.endswith(".spd"): + raise ValueError("The first file must be a .spd file") + #npzfile = np.load(spdfile) + spdobj = read_spd.spd(spdfile) + ##### Read in the header information and other required variables for the plots. ###### + #text_array = npzfile['text_array'] + man_params = spdobj.man_params + fn = spdobj.filename + telescope = spdobj.telescope + RA = spdobj.ra + dec = spdobj.dec + MJD = spdobj.mjd + mjd = Popen(["mjd2cal", "%f"%MJD], stdout=PIPE, stderr=PIPE) + date, err = mjd.communicate() + date = date.split()[2:5] + rank = spdobj.rank + nsub = spdobj.waterfall_nsubs + nbins = spdobj.nsamp + subdm = dm = sweep_dm = spdobj.best_dm + sigma = spdobj.sigma + sample_number = spdobj.pulse_peak_sample + duration = spdobj.waterfall_duration + width_bins = spdobj.pulsewidth_bins + pulse_width = spdobj.pulsewidth_seconds + tsamp = spdobj.tsamp + Total_observed_time = spdobj.total_obs_time + topo_start = spdobj.pulse_peak_time + start = topo_start - loc_pulse*duration + datastart = spdobj.waterfall_start_time + datasamp = spdobj.waterfall_tsamp + datanumspectra = spdobj.waterfall_prededisp_nbins + min_freq = spdobj.min_freq + max_freq = spdobj.max_freq + sweep_duration = spdobj.sweep_duration + sweeped_start = spdobj.sweep_start_time + bary_start = spdobj.bary_pulse_peak_time + downsamp = datasamp/tsamp + if xwin: + pgplot_device = "/XWIN" + else: + pgplot_device = "" + if pgplot_device: + sp_pgplot.ppgplot.pgopen(pgplot_device) + else: + if (outfile == "spdplot"): # default filename + if rank: + sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + else: + sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + else: + if rank: + sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + else: + sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + if (just_waterfall == False): + sp_pgplot.ppgplot.pgpap(10.25, 8.5/11.0) + # Dedispersed waterfall plot - zerodm - OFF + array = spdobj.data_nozerodm_dedisp.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.50, 0.80) + sp_pgplot.ppgplot.pgswin(datastart-start, datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + if not integrate_spec: + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') + + #### Plot Dedispersed Time series - Zerodm filter - Off + Dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.80, 0.90) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgsci(1) + + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(Dedisp_ts)]) + erry2 = np.array([np.std(Dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - Off + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.5, 0.8) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + + #Dedispersed waterfall plot - Zerodm ON + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.1, 0.40) + sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + if not integrate_spec: + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") + array = spdobj.data_zerodm_dedisp.astype(np.float64) + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') + #### Plot Dedispersed Time series - Zerodm filter - On + dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.40, 0.50) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,dedisp_ts) + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(dedisp_ts)]) + erry2 = np.array([np.std(dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - On + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.1, 0.4) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + + if disp_pulse: + # Sweeped waterfall plot Zerodm - OFF + array = spdobj.data_nozerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.50, 0.70) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + delays = spdobj.dmsweep_delays + freqs = spdobj.dmsweep_freqs + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgslw(3) + + # Sweeped waterfall plot Zerodm - ON + array = spdobj.data_zerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.1, 0.3) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + + #### Figure texts + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.81, 0.97, 0.64, 0.909) + sp_pgplot.ppgplot.pgsch(0.62) + else: + sp_pgplot.ppgplot.pgsvp(0.745, 0.97, 0.64, 0.909) + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" %dec) + sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) + sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + if sigma: + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: %.2f" %sigma) + else: + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) + sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) + sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) + sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) + + #DM vs SNR + if not man_params: + dm_arr = np.float32(spdobj.dmVt_this_dms) + sigma_arr = np.float32 (spdobj.dmVt_this_sigmas) + time_arr = np.float32 (spdobj.dmVt_this_times) + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) + sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95*np.min(sigma_arr), 1.05*np.max(sigma_arr)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") + sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) + else: + dm_arr = np.array([]) + sigma_arr = np.array([]) + time_arr = np.array([]) + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") + + # DM vs Time + print("Making arrays for DM vs time plot") + spfiles = singlepulsefiles + threshold = 5.0 + if len(spfiles) > 2: + dm_list = map(np.float32, list(dm_arr)) + time_list = map(np.float32, list(time_arr)) + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) + dms, times, sigmas, widths, filelist = spio.gen_arrays(dm_arr, spfiles, tar, threshold) + sp_pgplot.dm_time_plot(dms, times, sigmas, dm_list, sigma_arr, time_list, Total_observed_time, xwin) + else: + print("You need a .singlepulse.tgz file to plot DM vs Time plot.") + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + else: + #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) + sp_pgplot.ppgplot.pgpap(8.0, 1.5) + # Dedispersed waterfall plot - zerodm - OFF + array = spdobj.data_nozerodm_dedisp.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.44, 0.75) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart -start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') + + #### Plot Dedispersed Time series - Zerodm filter - Off + Dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.75, 0.83) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgsci(1) + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(Dedisp_ts)]) + erry2 = np.array([np.std(Dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - Off + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.7, 0.9, 0.44, 0.75) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + + #Dedispersed waterfall plot - Zerodm ON + array = spdobj.data_zerodm_dedisp.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.05, 0.36) + sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') + + + #### Plot Dedispersed Time series - Zerodm filter - On + dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.1, 0.7, 0.36, 0.44) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,dedisp_ts) + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(dedisp_ts)]) + erry2 = np.array([np.std(dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - On + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.70, 0.90, 0.05, 0.36) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + if disp_pulse: + # Sweeped waterfall plot Zerodm - OFF + array = spdobj.data_nozerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.44, 0.65) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + delays = spdobj.dmsweep_delays + freqs = spdobj.dmsweep_freqs + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgslw(3) + + # Sweeped waterfall plot Zerodm - ON + array = spdobj.data_zerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.05, 0.25) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + + #### Figure texts + sp_pgplot.ppgplot.pgsvp(0.05, 0.95, 0.8, 0.9) + sp_pgplot.ppgplot.pgsch(0.65) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" %dec) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + if sigma: + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: %.2f" %sigma) + else: + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgiden() + sp_pgplot.ppgplot.pgclos() + +def main(): + parser = optparse.OptionParser(prog="plot_spd.py", \ + usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") + parser.add_option("-x", "--xwin", action="store_true", dest="xwin", + default=False, help="Don't make a postscript plot, just use an X-window") + parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", \ + help= "give a base name to the saved plot. DM, time and" \ + "rank values will be added automatically" ) + parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" \ + "is the window around the pulse considered for the spectrum. (Default: 1.5)", \ + default=1.5) + parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." \ + "(Default: 0.5 half way in.)", \ + default=0.5) + parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", + default=False, help="Just produce the waterfall plots.") + parser.add_option("--show-spec", action="store_true", dest="integrate_spec", + default=False, help="Show spectrum.(Default: Show spectrum)") + parser.add_option("--show-ts", action="store_true", dest="integrate_ts", + default=False, help="Show time series.(Default: Don't show time series)") + parser.add_option("--show-sweep", action="store_true", dest="disp_pulse", + default=False, help="Show dispersed pulse.(Default: Don't show dispersed pulse)") + (options, args) = parser.parse_args() + + if len(args) == 0: + raise ValueError("need a .spd file and .singlepulse files in that order.") + if not args[0].endswith(".spd"): + raise ValueError("the first file must be a .spd file") + if len(args) == 2: + tar = tarfile.open(args[1], "r:gz")# read in the tarball + filenames = tar.getnames()# get the filenames + plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar)# make the sp plots + tar.close() + else: + plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None)# make the sp plots + +if __name__ == '__main__': + main() diff --git a/lib/python/singlepulse/rrattrap.py b/lib/python/singlepulse/rrattrap.py deleted file mode 120000 index 04fb774a0..000000000 --- a/lib/python/singlepulse/rrattrap.py +++ /dev/null @@ -1 +0,0 @@ -../../../bin/rrattrap.py \ No newline at end of file diff --git a/lib/python/singlepulse/rrattrap.py b/lib/python/singlepulse/rrattrap.py new file mode 100755 index 000000000..4bc52db0f --- /dev/null +++ b/lib/python/singlepulse/rrattrap.py @@ -0,0 +1,824 @@ +#!/usr/bin/env python + +""" +rrattrap.py + +Single pulse sifting code: performs grouping and ranking of single pulses identified by PRESTO's single_pulse_search.py. +Usage: + python rrattrap.py [OPTIONS] --inffile <.inf file> <.singlepulse files> + +Output: + - groups.txt : a file listing all single pulse groups and their ranking. + - several colourized DM vs. time single-pulse plots, for different DM ranges, with colours corresponding to group ratings. + +Chen Karako May 7, 2014 +Updated by Chitrang Patel June 10, 2016. +""" +from __future__ import print_function +import fileinput +import numpy as np +from time import strftime +import glob +import os.path +import infodata +import matplotlib.pyplot as plt +from Pgplot import * +import optparse +import sys +import singlepulse.spio as spio + +FRACTIONAL_SIGMA = 0.9 # change to 0.8? +ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] +DEBUG = True # if True, will be verbose + +def dmthreshold(dm, use_dmplan, min_group=45): + if use_dmplan: + import singlepulse.rrattrap_config as rrattrap_config + dmt, min_group = rrattrap_config.use_dmplan(dm) + else: + dmt = 1 + min_group = min_group + return dmt, min_group + + +class SinglePulseGroup(object): # Greg's modification + """Define single pulse group + """ + __slots__ = ['min_dm', 'max_dm', 'max_sigma', 'center_time', + 'min_time', 'max_time', 'duration', + 'singlepulses', 'numpulses', 'rank'] # Greg's modification + + def __init__(self, dm, sigma, time, sample, downfact): + """SinglePulseGroup constructor. + Takes as input one single pulse (creates a group of one) + inputs DM,Sigma,Time,Sample,Downfact. + """ + self.min_dm = dm + self.max_dm = dm + self.max_sigma = sigma + self.center_time = time + if sample == 0: + dt = 0 # this will ignore events with sample=0. + # better would be to use the inf files + # to determine the dt for these events + else: + dt = time/sample + self.min_time = time-downfact/2.0*dt + self.max_time = time+downfact/2.0*dt + self.duration = self.max_time - self.min_time + self.singlepulses = [(dm,sigma,time,sample,downfact)] + self.numpulses = 1 + self.rank = 0 + + def __cmp__(self, other): + return cmp(ALL_RANKS_ORDERED.index(self.rank), + ALL_RANKS_ORDERED.index(other.rank)) + return dmt + def timeisclose(self,other,use_dmplan,time_thresh=0.5): + """Checks whether the overlap in time of self and other is within + time_thresh. Takes as input other, a SinglePulseGroup object, + as well as the optional input time_thresh (in s). + """ + if self.duration < other.duration: + narrow = self + wide = other + else: + narrow = other + wide = self + time_thresh = dmthreshold(self.min_dm, use_dmplan)[0]*time_thresh + dt = max(time_thresh, narrow.duration/2.0) # always group groups within time_thresh (or duration/2, if longer) of one another + timeisclose = (wide.max_time >= (narrow.center_time - dt)) and\ + (wide.min_time <= (narrow.center_time + dt)) + + return timeisclose + + def dmisclose(self,other,use_dmplan,dm_thresh=0.1): + """Checks whether the DM of self and other is within dm_thresh of one + another. Takes as input other, a SinglePulseGroup object, as well as the optional input dm_thresh (in pc cm-3). + """ + dm_thresh = dmthreshold(self.min_dm, use_dmplan)[0]*dm_thresh + dmisclose = (other.max_dm >= (self.min_dm-dm_thresh)) and\ + (other.min_dm <= (self.max_dm+dm_thresh)) + + return dmisclose + + def combine(self,other): + """combines self and other SinglePulseGroup objects. + takes as input other, a SinglePulseGroup object. + combines in place; nothing returned. + """ + self.min_dm = min(self.min_dm, other.min_dm) + self.max_dm = max(self.max_dm, other.max_dm) + self.min_time = min(self.min_time, other.min_time) + self.max_time = max(self.max_time, other.max_time) + self.max_sigma = max(self.max_sigma, other.max_sigma) + self.duration = self.max_time - self.min_time + self.center_time = (self.min_time + self.max_time)/2.0 + self.numpulses = self.numpulses + other.numpulses + self.singlepulses.extend(other.singlepulses) + + def __str__(self): + s = ["Group of %d single pulses: " % len(self.singlepulses), \ + "\tMin DM (cm-3 pc): %f" % self.min_dm, \ + "\tMax DM (cm-3 pc): %f" % self.max_dm, \ + "\tCenter time (s): %f" % self.center_time, \ + "\tDuration (s): %f" % self.duration, \ + "\tMax sigma: %f" % self.max_sigma, \ + "\tRank: %f" % self.rank] + return '\n'.join(s) + +def create_groups(sps, inffile, min_nearby=1, time_thresh=0.5, \ + dm_thresh=0.1, ignore_obs_end=0, use_dmplan=False): + """Given a recarray of singlepulses return a list of + SinglePulseGroup objects. + + Inputs: + sps: A recarray of single pulse info. + min_nearby: Minimum number of nearby single pulse events + to bother creating a group. + time_thresh: Time-range within which another event must be found + dm_thresh: DM-range within which another event must be found + ignore_obs_end: if non-zero, the time (in seconds) to ignore from + the end of the observation. Useful for beams on which zero-DMing + was applied and caused artifacts in the sp output at the end of + the obs. + + *** NOTE: time_thresh and dm_thresh are used together + + Outputs: + groups: A list of SinglePulseGroup objects. + """ + + Tobs = get_obs_info(inffile)['T'] # duration of observation + if not (0 <= ignore_obs_end < Tobs): + print("Invalid ignore_obs_end value. Value must be: \ + 0 <= ignore_obs_end < Tobs. Setting ignore_obs_end to 0.") + ignore_obs_end = 0 + Tignore = Tobs - ignore_obs_end # sps with t>=Tignore will be ignored + + numsps = len(sps) + # Sort by time + sps.sort(order='time') + groups = [] + for ii in range(numsps): + # Time and DM of current SP event + ctime = sps[ii]['time'] + if ignore_obs_end and (ctime > Tignore): + continue + cdm = sps[ii]['dm'] + ngood = 0 # number of good neighbours + time_thresh = dmthreshold(cdm, use_dmplan)[0]*time_thresh + dm_thresh = dmthreshold(cdm, use_dmplan)[0]*dm_thresh + + jj = ii+1 + while (ngood < min_nearby) and (jj < numsps) and \ + (sps[jj]['time'] < (ctime+time_thresh)): + if abs(sps[jj]['dm'] - cdm) < dm_thresh: + ngood += 1 + jj += 1 + # Look backward as well + jj = ii-1 + while (ngood < min_nearby) and (jj >= 0) and \ + (sps[jj]['time'] > (ctime-time_thresh)): + if abs(sps[jj]['dm'] - cdm) < dm_thresh: + ngood += 1 + jj -= 1 + if ngood >= min_nearby: + # At least min_nearby nearby SP events + grp = SinglePulseGroup(*sps[ii]) + groups.append(grp) + return groups + + +def grouping_sp_dmt(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): + """Groups SinglePulse objects based on proximity in time, DM. + Outputs list of Single Pulse Groups. + """ + didcombine = True + while didcombine: + didcombine = False + groups.sort(key=lambda group: group.min_time) #Sort by time + for i, grp1 in enumerate(groups): + j=i+1 + while (j groups[j].center_time): #Only look at groups that are close in time + if grp1.dmisclose(groups[j], use_dmplan, dm_thresh): + if grp1.timeisclose(groups[j], use_dmplan, time_thresh): + grp1.combine(groups.pop(j)) + didcombine = True + j=j+1 + + +def grouping_rfi(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): + """ + Groups together close groups of RFI, and considers as RFI other groups + that are close to RFI. + """ + didcombine = True + while didcombine: + didcombine = False + # If a group is very close to a group of rfi, set it as rfi + for i in reversed(range(len(groups))): + grp1 = groups[i] + for j in reversed(range(len(groups))): + if j <= i: + continue + grp2 = groups[j] + if (grp1.rank != 2) and (grp2.rank != 2): + continue + if grp1.dmisclose(grp2,use_dmplan,10) and grp1.timeisclose(grp2, use_dmplan, time_thresh): # use bigger time thresh? + grp1.combine(groups.pop(j)) + # FIXME: Should we set as RFI without checking + # sigma behaviour (ie re-check rank) for group? + grp1.rank = 2 # Set as rfi + didcombine = True + + +def grouping_sp_t(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): + """Groups SinglePulse objects based on proximity in time, assuming + the DM difference is no more than DMDIFF=10. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + groups: A list of SinglePulseGroup objects. + """ + DMDIFF = 10 #max allowed DM difference between groups that will be grouped in time + didcombine = True + while didcombine: + didcombine = False + for i, grp1 in enumerate(groups): + for j in range(len(groups)-1,i,-1): + if grp1.timeisclose(groups[j], use_dmplan, time_thresh) and \ + grp1.dmisclose(groups[j],use_dmplan,DMDIFF): # We check if two events + # have similar time and + # a DM difference < DMDIFF + grp1.combine(groups.pop(j)) # Note group rank is not + # updated when combine groups, + # need to re-run ranking after. + didcombine = True + return groups + + +def flag_noise(groups, use_dmplan=False, min_group=45): + """Flag groups as noise based on group size. + If the number of sp events in a group is < min_group, + this group is marked as noise. + + Inputs: + groups: A list of SinglePulseGroup objects. + min_group: The minimum group size that a group must have + in order not to be considered as noise. The + default min_group is MIN_GROUP. + + Outputs: + None + """ + for grp in groups: + min_group = dmthreshold(grp.min_dm, use_dmplan, min_group)[1] + if grp.numpulses < min_group: + grp.rank = 1 + return groups + + +def flag_rfi(groups, close_dm = 2.0): + """Flag groups as RFI based on sigma behavior. + Takes as input list of Single Pulse Groups. + The ranks of the groups are updated in-place. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + None + """ + for grp in groups: + if (grp.rank != 2) and (grp.min_dm <= close_dm): # if grp has not + # yet been marked RFI + for sp in grp.singlepulses: + if (sp[0] <= close_dm) and \ + (sp[1] >= (FRACTIONAL_SIGMA*grp.max_sigma)): + # if any sp in the group has low dm, and its sigma is >= frac sigma*grp.max_sigma, call that grp rfi + grp.rank = 2 + break + + +def rank_groups(groups, use_dmplan=False, min_group=45, min_sigma=8.0): + """Rank groups based on their sigma vs. DM behaviour. + Takes as input list of Single Pulse Groups. + The ranks of the groups are updated in-place. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + None + """ +# divide groups into 5 parts (based on number events) to examine sigma behaviour + for grp in groups: + min_group = dmthreshold(grp.min_dm, use_dmplan, min_group)[1] + if len(grp.singlepulses) < min_group: + grp.rank = 1 + elif grp.rank != 2: # don't overwrite ranks of rfi groups + numsps = len(grp.singlepulses) + # sort list by increasing DM + idmsort = np.argsort([sp[0] for sp in grp.singlepulses]) + + sigmas = np.ma.zeros(np.ceil(numsps/5.0)*5) + sigmas[-numsps:] = np.asarray([sp[1] for sp in grp.singlepulses])[idmsort] + # Mask sigma=0. These are elements added to pad size of array + # to have multiple of 5 elements + # (there should never be actual SPs with sigma=0) + sigmas = np.ma.masked_equal(sigmas, 0.0) + + sigmas.shape = (5, np.ceil(numsps/5.0)) + + maxsigmas = sigmas.max(axis=1) + avgsigmas = sigmas.mean(axis=1) + # standard deviation in signal to noise values in the group. + stdsigmas = sigmas.std(axis=1) + # The largest std deviation + maxstd = np.ma.max(stdsigmas) + # The smallest std deviation + minstd = np.ma.min(stdsigmas) + # The largest maxsigma + maxsigma = np.ma.max(maxsigmas) + # The smallest maxsigma + minsigma = np.ma.min(maxsigmas) + # The largest avgsigma + maxavgsigma = np.ma.max(avgsigmas) + # The smallest avgsigma + minavgsigma = np.ma.min(avgsigmas) + + #if maxavgsigma<1.05*minavgsigma: + if all(stdsigma < 0.1 for stdsigma in stdsigmas): + # Sigmas pretty much constant. Group is RFI + grp.rank = 2 + if maxsigmas[2] > maxsigmas[1]: + if maxsigmas[2] > maxsigmas[3]: + # nearest neighbour subgroups both have smaller sigma + grp.rank = 3 + if (maxsigmas[3] > maxsigmas[4]) and (maxsigmas[1] > maxsigmas[0]): + #next-nearest subgps have sigma < nearest neighbours + grp.rank = 4 + if maxsigmas[2] > min_sigma: + # We want the largest maxsigma to be at least + # 1.15 times bigger than the smallest + grp.rank = 5 + if (avgsigmas[2] > avgsigmas[0]) and \ + (avgsigmas[2] > avgsigmas[4]) and \ + maxsigma>1.15*minsigma: + grp.rank = 6 + else: #ie. maxsigmas[2] <= maxsigmas[3], allowing for asymmetry: + if maxsigmas[1] > maxsigmas[0]: + grp.rank = 3 + if maxsigmas[3] > maxsigmas[4]: + grp.rank = 4 + if maxsigmas[3] > min_sigma: + grp.rank = 5 + if (avgsigmas[3] > avgsigmas[0]) and \ + (avgsigmas[3] > avgsigmas[4]) and \ + maxsigma>1.15*minsigma: + grp.rank = 6 + else: #ie. maxsigma2 >= maxsigma3, allowing for asymmetry: + if (maxsigmas[1] > maxsigmas[0]) and (maxsigmas[2] > maxsigmas[3]): + grp.rank = 3 + if maxsigmas[3] > maxsigmas[4]: + grp.rank = 4 + if maxsigmas[1] > min_sigma: + grp.rank = 5 + if (avgsigmas[1] >= avgsigmas[0]) and \ + (avgsigmas[1] > avgsigmas[4]) and \ + maxsigma>1.15*minsigma: + grp.rank = 6 + if any(stdsigma < 0.1 for stdsigma in stdsigmas) and (grp.max_sigma < 5.5): # if max sigma of the group is less than 5.5 and the sigma distribution is mostly flat, then it is not likely to be astrophysical. + grp.rank = 0 + if grp.rank == 0: + pass + +def check_dmspan(groups, dt, lofreq, hifreq): + """Read in groups and check whether each group's DM span exceeds the threshold. + """ + for grp in groups: + for sp in grp.singlepulses: + if sp[1] == grp.max_sigma: + downsamp = (sp[2]/dt)/sp[3] + width_ms = 1000.0*sp[4]*dt*downsamp + break + if (grp.max_dm-grp.min_dm > 5*spio.theoritical_dmspan(grp.max_sigma, 5.0, width_ms, lofreq, hifreq)): + # checks if the DM span is more than 5 times theoritical dm value. + if not ((grp.rank == 5) or (grp.rank == 6)): #if group is not good or excellent + grp.rank = 2 # then its most likely RFI. + +def get_obs_info(inffile): + """Read in an .inf file to extract observation information. + Return observation RA, Dec, duration, and source name. + """ + inf = infodata.infodata(inffile) + T = inf.dt * inf.N # total observation time (s) + RA = inf.RA + dec = inf.DEC + src = inf.object + MJD = inf.epoch + telescope = inf.telescope + freq = (inf.numchan/2-0.5)*inf.chan_width+inf.lofreq # center freq + return {'T': T, 'RA': RA, 'dec': dec, 'src': src, 'MJD': MJD, 'telescope': telescope, 'freq': freq} + + +def plot_sp_rated_all(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhigh=120): + """Take in dict of Single Pulse Group lists and + plot the DM vs. t for all, with the plotted + colour corresponding to group rank. + The DM range to plot can also be specified. + """ + rank_to_color = {2:'darkgrey', 0:'k', 3:'c', 4:'royalblue', 5:'b', 6:'m'} + + # Prepare data to plot + dm = [] + time = [] + size = [] + colors = [] + for grp in groups: + if grp.rank not in ranks: + continue + if grp.min_dm < yhigh and grp.max_dm > ylow: + for sp in grp.singlepulses: + dm.append(sp[0]) + size.append(np.clip(3*sp[1]-14,0,50)) + time.append(sp[2]) + colors.append(rank_to_color[grp.rank]) + + # Plot + plt.axes() + if len(time): # check if there are points to plot + plt.scatter(time, dm, c=colors, marker='o', s=size, edgecolor='none') + plt.xlabel('Time (s)') + plt.ylabel('DM (pc cm$^{-3}$)') + # if inf file exists, will override xlow and xhigh + # specified when function is called + if get_obs_info(inffile) is not None: # if inf files exist, can get obs info + obsinfo = get_obs_info(inffile) + plt.title('Single Pulse Results for %s\nRA: %s Dec: %s' % + (obsinfo['src'], obsinfo['RA'], obsinfo['dec'])) + xhigh = obsinfo['T'] # set xhigh to observation duration + plt.xlim((xlow, xhigh)) + plt.ylim((ylow, yhigh)) + + print_debug("Saving figure...") + plt.savefig('grouped_sps_DMs%s-%s.png' % (ylow, yhigh), dpi=300) + + +def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhigh=120): + """Plot groups according to their ranks. Uses pgplot rather + than matplotlib for faster, more memory-efficient plotting. + + Inputs: + groups: A list of SinglePulseGroup objects. + ylow (optional): lower y limit to plot. Default: ylow=0. + yhigh (optional): higher y limit to plot. Default: yhigh=100. + xlow (optional): lower x limit to plot. Default: xlow=0. + xhigh (optional): higher x limit to plot. Default: use inf file + to find observation duration, or if inf file unavailable, + use xhigh=120s. + + Outputs: + None; saves a colorized sp plot. + """ + if get_obs_info(inffile) is not None: # if inf files exist, can get obs info + obsinfo = get_obs_info(inffile) + #plt.title('Single Pulse Results for %s\nRA: %s Dec: %s' % + #(obsinfo['src'], obsinfo['RA'], obsinfo['dec'])) + xhigh = obsinfo['T'] # set xhigh to observation duration + ppgplot.pgopen('grouped_pgplot_DMs%s-%s.ps/vcps' % (ylow, yhigh)) + # copying from single_pulse_search.py plotting + ppgplot.pgpap(9, 0.7) # Width in inches, aspect +# ppgplot.pgsvp(0.06, 0.97, 0.08, 0.52) # single_pulse_search.py + ppgplot.pgsvp(0.87, 0.97, 0.80, 0.97) + ppgplot.pgsch(0.9) + ppgplot.pgsci(15) + ppgplot.pgpt(np.array([0.01]), np.array([0.12]), 9) + ppgplot.pgptxt(0.1, 0.1, 0.0, 0.0, '2: RFI') + ppgplot.pgsci(1) + ppgplot.pgpt(np.array([0.01]), np.array([0.27]), 9) + ppgplot.pgptxt(0.1, 0.25, 0.0, 0.0, '0: Noise') + ppgplot.pgsci(5) + ppgplot.pgpt(np.array([0.01]), np.array([0.42]), 9) + ppgplot.pgptxt(0.1, 0.4, 0.0, 0.0, '3: Ok') + ppgplot.pgsci(11) + ppgplot.pgpt(np.array([0.01]), np.array([0.57]), 9) + ppgplot.pgptxt(0.1, 0.55, 0.0, 0.0, '4: Good') + ppgplot.pgsci(4) + ppgplot.pgpt(np.array([0.01]), np.array([0.72]), 9) + ppgplot.pgptxt(0.1, 0.7, 0.0, 0.0, '5:Very Good') + ppgplot.pgsci(6) + ppgplot.pgpt(np.array([0.01]), np.array([0.87]), 9) + ppgplot.pgptxt(0.1, 0.85, 0.0, 0.0, '6: Excellent') + ppgplot.pgsci(1) + + ppgplot.pgsvp(0.06, 0.97, 0.08, 0.80) + #ppgplot.pgenv(xlow, xhigh, ylow, yhigh, 0, 1) #not sure if need 0,1 + ppgplot.pgswin(xlow, xhigh, ylow, yhigh) + ppgplot.pgsch(0.8) + ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) # redundant with pgenv + ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgsch(1.0) + ppgplot.pgmtxt('T', 2.5, 0.3, 0.0, + "Single Pulse Results for %s" % obsinfo['src']) + ppgplot.pgmtxt('T', 1.5, 0.3, 0.0, 'RA: %s Dec: %s' \ + % (obsinfo['RA'], obsinfo['dec'])) + ppgplot.pgmtxt('T', 0.5, 0.2, 0.0, 'Telescope: %s MJD: %s Freq: %.1f MHz'\ + % (obsinfo['telescope'], obsinfo['MJD'], obsinfo['freq'])) + ppgplot.pgsch(0.8) + rank_to_color = {2:15, # grey + 0:1, # black + 3:5, # cyan + 4:11, # dim blue + 5:4, # dark blue + 6:6} # magenta + + # Plotting scheme taken from single_pulse_search.py + # Circles are symbols 20-26 in increasing order + snr_range = 12.0 + spthresh = 5.0 # 5 for gbncc (5.5 plotting), 6 for palfa... + + for grp in groups: + cand_symbols = [] + dm = [] + time = [] + if grp.rank not in ranks: + continue + if grp.min_dm < yhigh and grp.max_dm > ylow: + ppgplot.pgsci(rank_to_color[grp.rank]) + for sp in grp.singlepulses: + dm.append(sp[0]) + time.append(sp[2]) + cand_SNR = sp[1] + # DEBUG: UNCOMMENT first line, then remove next 2 lines + if np.isfinite(cand_SNR): + cand_symbol = int((cand_SNR-spthresh)/snr_range * 6.0 + 20.5) + else: + cand_symbol = 26 + cand_symbols.append(min(cand_symbol, 26)) # biggest circle is 26 + cand_symbols = np.array(cand_symbols) + dm = np.array(dm) + time = np.array(time) + for ii in [26, 25, 24, 23, 22, 21, 20]: + inds = np.nonzero(cand_symbols==ii)[0] + ppgplot.pgpt(time[inds], dm[inds], ii) + ppgplot.pgclos() + + +def print_debug(msg): + if DEBUG: + print(msg) +# print h.heap() + + +def pop_by_rank(groups, rank): + """Remove groups with specified rank from a list of groups. + Removes the groups in place; nothing returned. + + Inputs: + groups: A list of SinglePulseGroup objects. + rank: The rank of groups to be removed. + + Outputs: + None + """ + for j in reversed(range(len(groups))): + if groups[j].rank == rank: + del groups[j] + + +def rank_occur(groups): + """Return a dict of the number of groups of each rank in the groups list. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + rank_occur: A dict of ranks and the number of their occurrences + in the groups list. + """ + rank_occur = {} + for grp in groups: + nn = rank_occur.setdefault(grp.rank, 0) + rank_occur[grp.rank] = nn+1 + + return rank_occur + + +#@profile +def main(): + parser = optparse.OptionParser(prog="rrattrap.py", \ + version="Chen Karako, updated by Chitrang Patel(June 23, 2015)",\ + usage="%prog --inffile <.inf file> [options] *.singlepulse",\ + description="Group single pulse events and rank them based on the sigma behavior. \ + Plot DM vs time with different colours for different ranks as follows:\ + \t\tRank 1 (Other) : Grey\ + \t\tRank 2 (RFI) : Red\ + \t\tRank 3 (ok) : Cyan\ + \t\tRank 4 (good) : dim blue\ + \t\tRank 5 (very good) : dark blue\ + \t\tRank 6 (excellent) : Magenta") + + parser.add_option('--CLOSE-DM', dest='close_dm', type='float', \ + help="DM to below which the signalis considered RFI(Default: 2", \ + default=2.0) + parser.add_option('--use-configfile', dest='use_configfile', action='store_true', \ + help="If this flag is set - import the config file for selecting grouping" \ + "parameters.(Default: do not use a config file.)", default=False) + parser.add_option('--use-DMplan', dest='use_DMplan', action='store_true', \ + help="If this flag is set - Use the ddplan for selecting grouping" \ + "parameters. Make sure that you have a corresponding config file containing" \ + "the DDplan. (Default: do not use ddplan)", default=False) + parser.add_option('--min-group', dest='min_group', type='int', \ + help="minimum number of events in a group to no be considered noise." \ + "(Default: 45)", \ + default=45) + parser.add_option('--dm-thresh', dest='dm_thresh', type='float', \ + help="DM threshold to use for nearest neighbour. Suggest a value greater " \ + " than the DM step size(Default: 0.5 pc/cm^3 - will not work if DM " \ + "step size is greater than 0.5)", default=0.5) + parser.add_option('--time-thresh', dest='time_thresh', type='float', \ + help="Time threshold to use for nearest neighbour. Suggest a value that " \ + " is a few times the max pulse width(Default: 0.1 s)", default=0.1) + parser.add_option('--min-sigma', dest='min_sigma', type='float', \ + help="minimum signal-to-noise above which the group is highly considered" \ + "to be astrophysical. (Default: 8.0)", \ + default=8.0) + parser.add_option('--no-plot', dest='plot', action='store_false', \ + help="Do not plot the groups in the DM time plot." \ + "(Default: Make a plot)", default=True) + parser.add_option('--plottype', dest='plottype', type = 'string',\ + help="Make a plot using : 'matplotlib' or 'pgplot'."\ + , default='pgplot') + parser.add_option('--min-rank-to-plot', dest='min_ranktoplot', type = 'int',\ + help="Only groups with rank upto this will plotted.(default: plot \ + all except rank 1)", default=0) + parser.add_option('--min-rank-to-write', dest='min_ranktowrite', type = 'int',\ + help="Only info of the groups with rank upto this will written." \ + "(default: write all except rank 1)", default=0) + parser.add_option('--inffile', dest='inffile', type = 'string',\ + help="A .inf file. I suggest a .rfifind.inf file."\ + , default=None) + parser.add_option('-o', dest='outbasenm', type = 'string',\ + help="outfile base name. .groups.txt will be added to the given name."\ + , default='') + options, args = parser.parse_args() + + if not hasattr(options, 'inffile'): + raise ValueError("You must supply a .inf file. I suggest .rfifind.inf") + + if not options.inffile.endswith(".inf"): + raise ValueError("Cannot recognize file type from extension. " + " Only '.inf' types are supported.") + + if options.use_DMplan or options.use_configfile: + import singlepulse.rrattrap_config as rrattrap_config + + RANKS = np.asarray([2,0,3,4,5,6]) + + if options.use_configfile: + CLOSE_DM = rrattrap_config.CLOSE_DM + MIN_GROUP = rrattrap_config.MIN_GROUP + TIME_THRESH = rrattrap_config.TIME_THRESH + DM_THRESH = rrattrap_config.DM_THRESH + MIN_SIGMA = rrattrap_config.MIN_SIGMA + PLOT = rrattrap_config.PLOT + PLOTTYPE = rrattrap_config.PLOTTYPE + RANKS_TO_WRITE = rrattrap_config.RANKS_TO_WRITE + RANKS_TO_PLOT = rrattrap_config.RANKS_TO_PLOT + else: + CLOSE_DM = options.close_dm + MIN_GROUP = options.min_group + TIME_THRESH = options.time_thresh + DM_THRESH = options.dm_thresh + MIN_SIGMA = options.min_sigma + PLOT = options.plot + PLOTTYPE = options.plottype + RANKS_TO_WRITE = list(RANKS[RANKS>options.min_ranktowrite]) + RANKS_TO_PLOT = list(RANKS[RANKS>options.min_ranktoplot]) + + inffile = options.inffile + inf = infodata.infodata(inffile) + print_debug("Beginning read_sp_files... "+strftime("%Y-%m-%d %H:%M:%S")) + + groups = spio.read_sp_files(args[1:])[0] + print_debug("Finished read_sp_files, beginning create_groups... " + + strftime("%Y-%m-%d %H:%M:%S")) + print_debug("Number of single pulse events: %d " % len(groups)) + + groups = create_groups(groups, inffile, min_nearby=1, ignore_obs_end=10, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH, use_dmplan=options.use_DMplan) # ignore the last 10 seconds of the obs, for palfa + print_debug("Number of groups: %d " % len(groups)) + print_debug("Finished create_groups, beginning grouping_sp_dmt... " + + strftime("%Y-%m-%d %H:%M:%S")) + + grouping_sp_dmt(groups, use_dmplan=options.use_DMplan, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH) + print_debug("Number of groups (after initial grouping): %d " % len(groups)) + print_debug("Finished grouping_sp_dmt, beginning flag_noise... " + + strftime("%Y-%m-%d %H:%M:%S")) + flag_noise(groups, use_dmplan=options.use_DMplan, min_group=MIN_GROUP) # do an initial coarse noise flagging and removal + pop_by_rank(groups, 1) + print_debug("Number of groups (after removed noise gps w <10 sps): %d " % len(groups)) + print_debug("Beginning grouping_sp_t... " + + strftime("%Y-%m-%d %H:%M:%S")) + + # Regroup good groups based on proximity in time only (compensate for missing middles): + groups = grouping_sp_t(groups, use_dmplan=options.use_DMplan, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH) + print_debug("Finished grouping_sp_t. " + strftime("%Y-%m-%d %H:%M:%S")) + + # Flag RFI groups, noise + flag_rfi(groups, close_dm=CLOSE_DM) + # Rank groups and identify noise (<45/40/35/30 sp events) groups + + print_debug("Ranking groups...") + rank_groups(groups, use_dmplan=options.use_DMplan, min_group=MIN_GROUP, min_sigma=MIN_SIGMA) + # Remove noise groups + print_debug("Before removing noise, len(groups): %s" % len(groups)) + pop_by_rank(groups, 1) + print_debug("After removing noise, len(groups): %s" % len(groups)) + + # Group rfi with very close groups + print_debug("len(groups) before grouping_rfi: %s" % len(groups)) + print_debug("Beginning grouping_rfi... " + strftime("%Y-%m-%d %H:%M:%S")) + grouping_rfi(groups, use_dmplan=options.use_DMplan, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH) + print_debug("Finished grouping_rfi. " + + strftime("%Y-%m-%d %H:%M:%S")) + + # Rank groups + print_debug("Finished rank_groups, beginning DM span check... " + + strftime("%Y-%m-%d %H:%M:%S")) + # Remove groups that are likely RFI, based on their large span in DM + print_debug("Beginning DM span check...") + check_dmspan(groups, inf.dt, inf.lofreq, inf.lofreq+inf.BW) + print_debug("Finished DM span check, beginning writing to outfile... " + + strftime("%Y-%m-%d %H:%M:%S")) + + outfile = open(options.outbasenm+'groups.txt', 'w') + summaryfile = open(options.outbasenm+'spsummary.txt', 'w') + + rank_dict = rank_occur(groups) + for rank in sorted(ALL_RANKS_ORDERED): + if rank != 1: + outfile.write("Number of rank %d groups: %d \n" % + (rank, rank_dict.get(rank, 0))) + summaryfile.write("Number of rank %d groups: %d \n" % + (rank, rank_dict.get(rank, 0))) + outfile.write("\n") + summaryfile.close() + + # Reverse sort lists so good groups are written at the top of the file + groups.sort(reverse=True) + + # write list of events in each group + for grp in groups: + if grp.rank in RANKS_TO_WRITE: + outfile.write(str(grp) + '\n') #print group summary + outfile.write('\n') + outfile.write("# DM Sigma Time (s) Sample Downfact \n") + for sp in grp.singlepulses: + outfile.write("%7.2f %7.2f %13.6f %10d %3d \n" % sp) + outfile.write('\n') + outfile.close() + + print_debug("Finished writing to outfile, now plotting... " + + strftime("%Y-%m-%d %H:%M:%S")) + + if PLOT: + ranks = RANKS_TO_PLOT + # Sort groups so better-ranked groups are plotted on top of worse groups + groups.sort() + # create several DM vs t plots, splitting up DM in overlapping intervals + # DMs 0-30, 20-110, 100-300, 300-1000 + if PLOTTYPE.lower() == 'pgplot': + # Use PGPLOT to plot + plot_sp_rated_pgplot(groups, ranks, inffile, 0, 30) + print_debug("Finished PGplotting DMs0-30 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 20, 110) + print_debug("Finished PGplotting DMs20-110 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 100, 310) + print_debug("Finished PGplotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 300, 1000) + print_debug("Finished PGplotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 1000, 10000) + print_debug("Finished PGplotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + elif PLOTTYPE.lower() == 'matplotlib': + # Use matplotlib to plot + plot_sp_rated_all(groups, ranks, inffile, 0, 30) + print_debug("Finished plotting DMs0-30 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 20, 110) + print_debug("Finished plotting DMs20-110 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 100, 310) + print_debug("Finished plotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 300, 1000) + print_debug("Finished plotting DMs300-1000 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 1000, 10000) + print_debug("Finished plotting DMs1000-10000 "+strftime("%Y-%m-%d %H:%M:%S")) + else: + print("Plot type must be one of 'matplotlib' or 'pgplot'. Not plotting.") + + +if __name__ == '__main__': + main() diff --git a/lib/python/singlepulse/sp_pgplot.py b/lib/python/singlepulse/sp_pgplot.py index 11051da6a..405bb0348 100755 --- a/lib/python/singlepulse/sp_pgplot.py +++ b/lib/python/singlepulse/sp_pgplot.py @@ -1,3 +1,4 @@ +from __future__ import print_function ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -135,7 +136,7 @@ def plot_waterfall(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Make sure the input data is a 2D array z = Num.asarray(z); if not len(z.shape)==2: - print 'Input data array must be 2 dimensional.' + print('Input data array must be 2 dimensional.') return # Announce the global variables we will be using global ppgplot_dev_open_, ppgplot_dev_prep_, pgpalette diff --git a/lib/python/singlepulse/spcand.py b/lib/python/singlepulse/spcand.py index ef2ef8415..e6eb5f44e 100755 --- a/lib/python/singlepulse/spcand.py +++ b/lib/python/singlepulse/spcand.py @@ -1,5 +1,6 @@ +from __future__ import absolute_import import numpy as np -import bary_and_topo +from . import bary_and_topo def topo_timeshift(bary_start_time, time_shift, topo): ind = np.where(topo == float(int(bary_start_time)/10*10))[0] return time_shift[ind] diff --git a/lib/python/singlepulse/spio.py b/lib/python/singlepulse/spio.py index 6209acf42..421acdde4 100755 --- a/lib/python/singlepulse/spio.py +++ b/lib/python/singlepulse/spio.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as _np import fileinput as _fileinput from scipy.special import erf @@ -75,8 +76,8 @@ def read_RRATrap_info(groupfile, group_to_read, rank): files = get_textfile(groupfile) if files[rank-1] != "Number of rank %i groups: 0 "%rank: # checks whether there are %i \ # ranked groups in the file. - print files[rank-1] - print "Making arrays for DM vs Signal to Noise..." + print(files[rank-1]) + print("Making arrays for DM vs Signal to Noise...") temp_list = files[group_to_read-6].split() npulses = int(temp_list[2]) temp_lines = files[(group_to_read+3):(group_to_read+npulses+1)] @@ -93,7 +94,7 @@ def read_RRATrap_info(groupfile, group_to_read, rank): sigma_arr = _np.array([arr_2[i][1] for i in range(len(arr))], dtype = _np.float32) width_arr = _np.array([arr_2[i][4] for i in range(len(arr))], dtype = _np.int8) else: - print "No Rank %i groups for this candidate."%rank + print("No Rank %i groups for this candidate."%rank) return dm_list, time_list, dm_arr, sigma_arr, width_arr @@ -229,7 +230,7 @@ def gen_arrays(dm, sp_files, tar, threshold): sp_files = _np.asarray(sp_files)[inds] loidx = _np.argmin(_np.abs(name_DMs-ddm)) hiidx = _np.argmin(_np.abs(name_DMs-hidm)) - print loidx, hiidx + print(loidx, hiidx) singlepulsefiles = list(sp_files[loidx:hiidx]) if tar is not None: diff --git a/python/binopttest/bindata.py b/python/binopttest/bindata.py index 43412f49d..65c425e41 100644 --- a/python/binopttest/bindata.py +++ b/python/binopttest/bindata.py @@ -1,3 +1,4 @@ +from __future__ import print_function def catvar(col): ret = [] global a, b, c, d, e @@ -36,10 +37,10 @@ def saveresults(file="testresults.txt"): 'mf', 'z') f = open(file, 'w') for var in vars: - print 'Saving ', var, '...' + print('Saving ', var, '...') exec('dump(%s, f)' % (var)) f.close() - print 'Saved em.' + print('Saved em.') def quadratic(parameters, x): a = parameters[0] @@ -65,11 +66,11 @@ def genfits(): for i in range(len(xvals[fitvar])): vals.append((xvals[fitvar][i], yvals[fitvar][i])) fit = leastSquaresFit(linear, (1.0, 0.0), vals) - print '%s width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, + print('%s width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, fit[0][0], xtits[fitvar], fit[0][1], - fit[1]) + fit[1])) plotxy(yvals[fitvar], xvals[fitvar], laby=fitvar+' Width (Fractional)', labx=xtits[fitvar], line=None, font=2, @@ -95,11 +96,11 @@ def genlogfits(): for i in range(len(xvals[fitvar])): vals.append((xvals[fitvar][i], yvals[fitvar][i])) fit = leastSquaresFit(linear, (1.0, 0.0), vals) - print 'log(%s) width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, + print('log(%s) width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, fit[0][0], xtits[fitvar], fit[0][1], - fit[1]) + fit[1])) plotxy(yvals[fitvar], xvals[fitvar], laby='log('+fitvar+') Width (Fractional)', labx=xtits[fitvar], line=None, font=2, @@ -124,7 +125,7 @@ def help(funct): help(funct): Print the documentation string of a function or method. """ - print eval(funct + '.__doc__') + print(eval(funct + '.__doc__')) from cPickle import * vars = ('psrp', 'orbp', 'orbx', 'orbe', 'orbw', 'orbt', @@ -132,8 +133,8 @@ def help(funct): 'mf', 'z') f = open("testresults.txt") for var in vars: - print 'Loading ', var, '...' + print('Loading ', var, '...') exec(var + ' = asarray(load(f))') f.close() - print 'Got em.' + print('Got em.') diff --git a/python/binopttest/comb.py b/python/binopttest/comb.py index fc4219d88..6e4562931 100644 --- a/python/binopttest/comb.py +++ b/python/binopttest/comb.py @@ -1,3 +1,4 @@ +from __future__ import print_function from Numeric import * from presto import * from LeastSquares import leastSquaresFit @@ -15,19 +16,19 @@ psr.orb.t = 0.0 psr.orb.w = 0.0 z = 2*pi*psr.orb.x/psr.p -print '' -print ' PSR mass =', mpsr -print ' Companion mass =', mc -print ' PSR period (s) =', psr.p -print ' PSR frequency (hz) =', 1.0/psr.p -print ' Orbit period (s) =', psr.orb.p -print ' Orbit asini/c (lt-s) =', psr.orb.x -print ' Orbit eccentricity =', psr.orb.e -print ' Orbit angle (deg) =', psr.orb.w -print ' Orbit time (s) =', psr.orb.t -print ' Orbit Fourier Freq =', T/psr.orb.p -print ' Orbit z =', z -print '' +print('') +print(' PSR mass =', mpsr) +print(' Companion mass =', mc) +print(' PSR period (s) =', psr.p) +print(' PSR frequency (hz) =', 1.0/psr.p) +print(' Orbit period (s) =', psr.orb.p) +print(' Orbit asini/c (lt-s) =', psr.orb.x) +print(' Orbit eccentricity =', psr.orb.e) +print(' Orbit angle (deg) =', psr.orb.w) +print(' Orbit time (s) =', psr.orb.t) +print(' Orbit Fourier Freq =', T/psr.orb.p) +print(' Orbit z =', z) +print('') m = 0 kernel = presto.gen_bin_response(0.0, 1, psr.p, T, psr.orb , presto.LOWACC, m) diff --git a/python/binopttest/montebinopt.py b/python/binopttest/montebinopt.py index 13db876c6..688f7f649 100644 --- a/python/binopttest/montebinopt.py +++ b/python/binopttest/montebinopt.py @@ -1,3 +1,4 @@ +from __future__ import print_function import math, string, Numeric, presto, random, sys, cPickle from LeastSquares import leastSquaresFit from orbitstuff import * @@ -31,12 +32,10 @@ numprocs = mpi.comm_size() if ctype=='WD': if numprocs!=3: - raise SystemExit, \ - 'You need 3 procs for the NS-WD simulation.' + raise SystemExit('You need 3 procs for the NS-WD simulation.') else: if numprocs!=5: - raise SystemExit, \ - 'You need 5 procs for a NS-NS or NS-BH simulation.' + raise SystemExit('You need 5 procs for a NS-NS or NS-BH simulation.') else: myid = 0 @@ -110,23 +109,23 @@ def corr(data, kernel, numbetween, firsttime=0): else: psr = psrparams_from_list(psrlist) if debugout: allproc_print(numprocs, 'Psr period =', psr.p) - print '' - print 'Trial', i + print('') + print('Trial', i) if debugout: - print '' - print ' PSR mass =', mpsr - print ' Companion mass =', mc - print ' PSR period (s) =', psr.p - print ' PSR frequency (hz) =', 1.0/psr.p - print ' Orbit period (s) =', psr.orb.p - print ' Orbit asini/c (lt-s) =', psr.orb.x - print ' Orbit eccentricity =', psr.orb.e - print ' Orbit angle (deg) =', psr.orb.w - print ' Orbit time (s) =', psr.orb.t - print ' Orbit Fourier Freq =', T/psr.orb.p - print ' Orbit z =', \ - presto.TWOPI*psr.orb.x/psr.p - print '' + print('') + print(' PSR mass =', mpsr) + print(' Companion mass =', mc) + print(' PSR period (s) =', psr.p) + print(' PSR frequency (hz) =', 1.0/psr.p) + print(' Orbit period (s) =', psr.orb.p) + print(' Orbit asini/c (lt-s) =', psr.orb.x) + print(' Orbit eccentricity =', psr.orb.e) + print(' Orbit angle (deg) =', psr.orb.w) + print(' Orbit time (s) =', psr.orb.t) + print(' Orbit Fourier Freq =', T/psr.orb.p) + print(' Orbit z =', \ + presto.TWOPI*psr.orb.x/psr.p) + print('') # Create the data set cand = presto.orbitparams() @@ -194,8 +193,8 @@ def corr(data, kernel, numbetween, firsttime=0): Numeric.maximum.reduce(respow))) if debugout: # Print the most recent results - print ' %s: Delta = %10.6f Response = %8.5f' % \ - (myjob, vals[-1][0], vals[-1][1]) + print(' %s: Delta = %10.6f Response = %8.5f' % \ + (myjob, vals[-1][0], vals[-1][1])) if showplots and not parallel: # Plot the results of the correlation Pgplot.plotxy(respow, labx='Frequency', @@ -209,9 +208,9 @@ def corr(data, kernel, numbetween, firsttime=0): # Fit a quadratic to the width values fit = leastSquaresFit(quadratic, (-1.0, 0.0, 1.0), vals) if debugout: - print '\n %sfit = %fx^2 + %fx + %f\n' % (myjob, fit[0][0], + print('\n %sfit = %fx^2 + %fx + %f\n' % (myjob, fit[0][0], fit[0][1], - fit[0][2]) + fit[0][2])) width = 2.0*math.sqrt(-0.5/fit[0][0]) if parallel: newwidths = mpi.gather_string(str(width), 0) @@ -222,7 +221,7 @@ def corr(data, kernel, numbetween, firsttime=0): psrlist.append(width) widths.append(psrlist) if debugout: - print 'Widths are', widths[i] + print('Widths are', widths[i]) # Save our most recent orbit and width information cPickle.dump(widths[i], file, 1) file.close() diff --git a/python/binresponses/monte_ffdot.py b/python/binresponses/monte_ffdot.py index 8f3e65b3e..6ae4bd208 100644 --- a/python/binresponses/monte_ffdot.py +++ b/python/binresponses/monte_ffdot.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -39,7 +40,7 @@ from mpihelp import * myid = mpi.comm_rank() numprocs = mpi.comm_size() - outfilenm = (outfiledir+'/'+outfilenm+`myid`+ + outfilenm = (outfiledir+'/'+outfilenm+repr(myid)+ '_'+searchtype+'_'+ctype+'.out') else: myid = 0 @@ -98,15 +99,15 @@ def predict_mini_r(fftlen, Pb, T): orbi = orbi / sqrt(orbsperpt[ctype]) wb, tp = orbf * 180.0, Pb * orbi if debugout: - print 'T = '+`T`+' ppsr = '+`ppsr[y]`+\ - ' Pb = '+`Pb`+' xb = '+`xb`+' eb = '+\ - `eb`+' wb = '+`wb`+' tp = '+`tp` + print('T = '+repr(T)+' ppsr = '+repr(ppsr[y])+\ + ' Pb = '+repr(Pb)+' xb = '+repr(xb)+' eb = '+\ + repr(eb)+' wb = '+repr(wb)+' tp = '+repr(tp)) psr = psrparams_from_list([ppsr[y], Pb, xb, eb, wb, tp]) psr_numbins = 2 * bin_resp_halfwidth(psr.p, T, psr.orb) psr_resp = gen_bin_response(0.0, 1, psr.p, T, psr.orb, psr_numbins) if showplots: - print "The raw response:" + print("The raw response:") Pgplot.plotxy(spectralpower(psr_resp)) Pgplot.closeplot() # The following places the nominative psr freq @@ -128,8 +129,8 @@ def predict_mini_r(fftlen, Pb, T): # ' TbyPb[x] = '+`TbyPb[x]`+\ # ' ppsr[y] = '+`ppsr[y]`+\ # ' len(data) = '+`len(data)` - print ' tryr = %11.5f tryz = %11.5f' % \ - (tryr, tryz) + print(' tryr = %11.5f tryz = %11.5f' % \ + (tryr, tryz)) ffd = ffdot_plane(data, tryr, dr, numr, tryz, dz, numz) maxarg = argmax(spectralpower(ffd.flat)) @@ -152,8 +153,8 @@ def predict_mini_r(fftlen, Pb, T): image="astro") Pgplot.closeplot() if debugout: - print 'peakr = %11.5f peakz = %11.5f' % \ - (peakr, peakz) + print('peakr = %11.5f peakz = %11.5f' % \ + (peakr, peakz)) if (peakpow < 0.2): pows[ct] = peakpow rmax = peakr @@ -163,14 +164,14 @@ def predict_mini_r(fftlen, Pb, T): maximize_rz(data, peakr, peakz, \ norm=1.0) if debugout: - print 'max_r = %11.5f max_z = %11.5f' % \ - (rmax, zmax) + print('max_r = %11.5f max_z = %11.5f' % \ + (rmax, zmax)) if debugout: - print `x`+' '+`y`+' '+`TbyPb[x]`+' ', - print `ppsr[y]`+' '+`pows[ct]` + print(repr(x)+' '+repr(y)+' '+repr(TbyPb[x])+' ', end=' ') + print(repr(ppsr[y])+' '+repr(pows[ct])) tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') file.write('%5d %9.6f %8.6f %11.9f %11.9f %11.9f\n' % \ (y * numTbyPb + x, TbyPb[x], ppsr[y], \ average(pows), max(pows), min(pows))) diff --git a/python/binresponses/monte_short.py b/python/binresponses/monte_short.py index 7448c0670..4e26df17d 100644 --- a/python/binresponses/monte_short.py +++ b/python/binresponses/monte_short.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -31,7 +32,7 @@ ################################################## outfilenm = (outfiledir+'/'+outfilenm+ - '_'+searchtype+`Tfft`+'_'+ctype+'.out') + '_'+searchtype+repr(Tfft)+'_'+ctype+'.out') def psrparams_from_list(pplist): psr = psrparams() @@ -65,15 +66,15 @@ def psrparams_from_list(pplist): pwrs_w = zeros((orbsperpt[ctype], numbins), Float32) for ct in range(orbsperpt[ctype]): wb = ct * 180.0 / orbsperpt[ctype] - if debugout: print 'wb = '+`wb` + if debugout: print('wb = '+repr(wb)) psr = psrparams_from_list([pp, Pb, xb, ecc[ctype], wb, 0.0]) for i in range(numffts): psr.orb.t = i * Tfft tmppwrs = spectralpower(gen_bin_response(0.0, numbetween, psr.p, Tfft, psr.orb, numbins)) - if debugout: print ' tb = '+`psr.orb.t`+' Max pow = '+\ - `max(tmppwrs)` + if debugout: print(' tb = '+repr(psr.orb.t)+' Max pow = '+\ + repr(max(tmppwrs))) if showplots: Pgplot.plotxy(tmppwrs) Pgplot.closeplot() @@ -88,7 +89,7 @@ def psrparams_from_list(pplist): Pgplot.closeplot() tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') file.write('%8.6f %10.5f %10d %13.9f\n' % \ (pp, Tfft, int(Tfft/dt), max_avg_pow)) file.flush() diff --git a/python/binresponses/monte_sideb.py b/python/binresponses/monte_sideb.py index 716d610b6..575ed95b5 100644 --- a/python/binresponses/monte_sideb.py +++ b/python/binresponses/monte_sideb.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -56,7 +57,7 @@ from mpihelp import * myid = mpi.comm_rank() numprocs = mpi.comm_size() - outfilenm = (outfiledir+'/'+outfilenm+`myid`+ + outfilenm = (outfiledir+'/'+outfilenm+repr(myid)+ '_'+searchtype+'_'+ctype+'.out') else: myid = 0 @@ -109,9 +110,9 @@ def mini_fft_sum_pows(tryamp): # print 'avg(fft) = ',average(spectralpower(fdata)[1:]/norm) # print tryamp if debugout: - print 'Nyquist = '+`fftlen/2` - print ' rpred = %10.3f power = %10.7f' % \ - (rpred, b_pows[ct]) + print('Nyquist = '+repr(fftlen/2)) + print(' rpred = %10.3f power = %10.7f' % \ + (rpred, b_pows[ct])) bsum_pows[ct] = b_pows[ct] if (TbyPb[x] > 2.0): for harmonic in arange(int(TbyPb[x]-1.0))+2: @@ -121,19 +122,19 @@ def mini_fft_sum_pows(tryamp): maximize_r(fdata, hrpred, norm=norm) bsum_pows[ct] = bsum_pows[ct] + tmppow if debugout: - print ' hrpred = %10.3f power = %10.7f' % \ - (hrpred, tmppow) + print(' hrpred = %10.3f power = %10.7f' % \ + (hrpred, tmppow)) if debugout: - print ' r = %10.3f meas_r = %10.3f '\ + print(' r = %10.3f meas_r = %10.3f '\ 'alias_r = %10.3f' % \ (fftlen * psr.orb.p / T, rmax, - alias(rmax, fftlen/2)) - print ' p = %10.3f meas_p = %10.3f '\ + alias(rmax, fftlen/2))) + print(' p = %10.3f meas_p = %10.3f '\ 'alias_p = %10.3f' % \ (psr.orb.p, rmax * T / fftlen, - alias(rmax, fftlen/2) * T / fftlen) - print ' BigPow = %10.7f SumPow = %10.7f' % \ - (b_pows[ct], bsum_pows[ct]) + alias(rmax, fftlen/2) * T / fftlen)) + print(' BigPow = %10.7f SumPow = %10.7f' % \ + (b_pows[ct], bsum_pows[ct])) return bsum_pows[ct] - theo_sum_pow def psrparams_from_list(pplist): @@ -211,12 +212,12 @@ def slice_resp(psr, T, response): psr_resp = gen_bin_response(0.0, 1, psr.p, T, psr.orb, psr_numbins) if debugout: - print 'T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ - (T, psr.orb.p, psr.p) + print('T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ + (T, psr.orb.p, psr.p)) newpows = slice_resp(psr, T, spectralpower(psr_resp)) if showplots: - print "The raw response:" + print("The raw response:") Pgplot.plotxy(newpows) Pgplot.closeplot() fftlen = len(newpows) @@ -225,7 +226,7 @@ def slice_resp(psr, T, response): theo_sum_pow = powersum_at_sigma(detect_sigma, int(T/psr.orb.p)) if debugout: - print 'theo_sum_pow = ', theo_sum_pow + print('theo_sum_pow = ', theo_sum_pow) newloop = 1 tryamp[ct] = secant(mini_fft_sum_pows, tryamp[ct]/2, tryamp[ct], 0.01) @@ -238,7 +239,7 @@ def slice_resp(psr, T, response): # (b_pows[ct], bsum_pows[ct]-theo_sum_pow, 2 * sigma_t * sqrt(tryamp[ct]/N)) tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') # Note: The output contains the average value of tryamp. To convert this # to a minimum flux density, use the formula # S(mJy) = 2 * sigma_t * sqrt(tryamp / N) diff --git a/python/binresponses/montebinresp.py b/python/binresponses/montebinresp.py index 121d4b639..72ca725b8 100644 --- a/python/binresponses/montebinresp.py +++ b/python/binresponses/montebinresp.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -41,7 +42,7 @@ from mpihelp import * myid = mpi.comm_rank() numprocs = mpi.comm_size() - outfilenm = (outfiledir+'/'+outfilenm+`myid`+ + outfilenm = (outfiledir+'/'+outfilenm+repr(myid)+ '_'+searchtype+'_'+ctype+'.out') else: myid = 0 @@ -104,15 +105,15 @@ def predict_mini_r(fftlen, Pb, T): orbi = orbi / sqrt(orbsperpt[ctype]) wb, tp = orbf * 180.0, Pb * orbi if debugout: - print 'T = '+`T`+' ppsr = '+`ppsr[y]`+\ - ' Pb = '+`Pb`+' xb = '+`xb`+' eb = '+\ - `eb`+' wb = '+`wb`+' tp = '+`tp` + print('T = '+repr(T)+' ppsr = '+repr(ppsr[y])+\ + ' Pb = '+repr(Pb)+' xb = '+repr(xb)+' eb = '+\ + repr(eb)+' wb = '+repr(wb)+' tp = '+repr(tp)) psr = psrparams_from_list([ppsr[y], Pb, xb, eb, wb, tp]) psr_numbins = 2 * bin_resp_halfwidth(psr.p, T, psr.orb) psr_resp = gen_bin_response(0.0, 1, psr.p, T, psr.orb, psr_numbins) if showplots: - print "The raw response:" + print("The raw response:") Pgplot.plotxy(spectralpower(psr_resp)) Pgplot.closeplot() if searchtype == 'ffdot': @@ -135,8 +136,8 @@ def predict_mini_r(fftlen, Pb, T): # ' TbyPb[x] = '+`TbyPb[x]`+\ # ' ppsr[y] = '+`ppsr[y]`+\ # ' len(data) = '+`len(data)` - print ' tryr = %11.5f tryz = %11.5f' % \ - (tryr, tryz) + print(' tryr = %11.5f tryz = %11.5f' % \ + (tryr, tryz)) ffd = ffdot_plane(data, tryr, dr, numr, tryz, dz, numz) maxarg = argmax(spectralpower(ffd.flat)) @@ -159,8 +160,8 @@ def predict_mini_r(fftlen, Pb, T): image="astro") Pgplot.closeplot() if debugout: - print 'peakr = %11.5f peakz = %11.5f' % \ - (peakr, peakz) + print('peakr = %11.5f peakz = %11.5f' % \ + (peakr, peakz)) if (peakpow < 0.2): pows[ct] = peakpow rmax = peakr @@ -170,12 +171,12 @@ def predict_mini_r(fftlen, Pb, T): maximize_rz(data, peakr, peakz, \ norm=1.0) if debugout: - print 'max_r = %11.5f max_z = %11.5f' % \ - (rmax, zmax) + print('max_r = %11.5f max_z = %11.5f' % \ + (rmax, zmax)) elif searchtype == 'sideband': if debugout: - print 'T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ - (T, psr.orb.p, psr.p) + print('T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ + (T, psr.orb.p, psr.p)) # The biggest FFT first psr_pows = spectralpower(psr_resp) fftlen = int(next2_to_n(len(psr_pows))) @@ -186,10 +187,10 @@ def predict_mini_r(fftlen, Pb, T): [pows[ct], rmax, rd] = \ maximize_r(fdata, rpred, norm=1.0) if debugout: - print 'theo_r = %f alias_r = %f' % \ - (fftlen * psr.orb.p / T, rpred) - print 'pow1 = %f Porb = %f' % \ - (pows[ct], rmax * T / fftlen) + print('theo_r = %f alias_r = %f' % \ + (fftlen * psr.orb.p / T, rpred)) + print('pow1 = %f Porb = %f' % \ + (pows[ct], rmax * T / fftlen)) #cands = search_fft(fdata, 15, norm=1.0/fftlen) #if debugout: #print 'rpred = %11.5f '\ @@ -215,10 +216,10 @@ def predict_mini_r(fftlen, Pb, T): maximize_r(fdata, rpred, norm=1.0) if tmppow > pows[ct]: pows[ct] = tmppow if debugout: - print 'theo_r = %f alias_r = %f' % \ - (fftlen * psr.orb.p / T, rpred) - print 'pow1 = %f Porb = %f' % \ - (tmppow, rmax * T / fftlen) + print('theo_r = %f alias_r = %f' % \ + (fftlen * psr.orb.p / T, rpred)) + print('pow1 = %f Porb = %f' % \ + (tmppow, rmax * T / fftlen)) #cands = search_fft(fdata, 15, norm=1.0/fftlen) if showplots: Pgplot.plotxy(spectralpower(fdata), \ @@ -240,10 +241,10 @@ def predict_mini_r(fftlen, Pb, T): maximize_r(fdata, rpred, norm=1.0) if tmppow > pows[ct]: pows[ct] = tmppow if debugout: - print 'theo_r = %f alias_r = %f' % \ - (fftlen * psr.orb.p / T, rpred) - print 'pow1 = %f Porb = %f' % \ - (tmppow, rmax * T / fftlen) + print('theo_r = %f alias_r = %f' % \ + (fftlen * psr.orb.p / T, rpred)) + print('pow1 = %f Porb = %f' % \ + (tmppow, rmax * T / fftlen)) #cands = search_fft(fdata, 15, norm=1.0/fftlen) if showplots: Pgplot.plotxy(spectralpower(fdata), \ @@ -256,11 +257,11 @@ def predict_mini_r(fftlen, Pb, T): # print ' r = %11.5f pow = %9.7f' % \ # (cands[ii][1], cands[ii][0]) if debugout: - print `x`+' '+`y`+' '+`TbyPb[x]`+' ', - print `ppsr[y]`+' '+`pows[ct]` + print(repr(x)+' '+repr(y)+' '+repr(TbyPb[x])+' ', end=' ') + print(repr(ppsr[y])+' '+repr(pows[ct])) tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') file.write('%5d %9.6f %8.6f %11.9f %11.9f %11.9f\n' % \ (y * numTbyPb + x, TbyPb[x], ppsr[y], \ average(pows), max(pows), min(pows))) diff --git a/python/concatdata.py b/python/concatdata.py index b967bf733..1b322e5a4 100644 --- a/python/concatdata.py +++ b/python/concatdata.py @@ -1,3 +1,4 @@ +from __future__ import print_function # Binary floating point data file concatenation routine # # Written by Scott M. Ransom @@ -51,26 +52,26 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): # Show a usage statement if necessary if (len(argv)<6): - print usage + print(usage) exit(0) # Get and check the arguments -print '' -print ' Binary Data Concatenation Routine' -print ' Written by Scott M. Ransom' -print ' 1 Mar 99\n' +print('') +print(' Binary Data Concatenation Routine') +print(' Written by Scott M. Ransom') +print(' 1 Mar 99\n') outfilenm = argv[1] numpts = atol(argv[2]) padval = float(argv[3]) -if (numpts < 0L): - print 'numpts must be greater than 0. Exiting.' - print usage +if (numpts < 0): + print('numpts must be greater than 0. Exiting.') + print(usage) exit(-1) -print 'Creating a %ld point file named \'%s\'.' % (numpts, outfilenm) -print 'Using %f for each padding point.\n' % padval +print('Creating a %ld point file named \'%s\'.' % (numpts, outfilenm)) +print('Using %f for each padding point.\n' % padval) # Read the important data from the infofiles into lists @@ -82,7 +83,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_endMJDf = [] file_N = [] padbins = [] -print 'The input files are:' +print('The input files are:') for index in range(len(argv)-4): infile.append(argv[index+4]) infile[index] = infile[index][0:rfind(infile[index],'.')] @@ -103,13 +104,13 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_startMJDf[index]) file_endMJDi.append(MJDi) file_endMJDf.append(MJDf) - print ' %s.dat: %9.0f pts at MJD %5d.%015.0f' % \ + print(' %s.dat: %9.0f pts at MJD %5d.%015.0f' % \ (infile[index], file_N[index], \ - file_startMJDi[index], file_startMJDf[index] * 1.0e15) + file_startMJDi[index], file_startMJDf[index] * 1.0e15)) if (index > 0): if not (dt == file_data[index].dt): - print '\nCannot concatenate the data. The input file dt\'s' - print ' are different. Exiting.' + print('\nCannot concatenate the data. The input file dt\'s') + print(' are different. Exiting.') exit(-1) else: dt = file_data[index].dt @@ -125,7 +126,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): else: dt = file_data[index].dt -print '' +print('') # Convert the infodata into Numpy Arrays and determine the number of # bins to add as padding as well as the shifts needed in the data sets @@ -145,7 +146,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): shift = where(greater(shift, 1.0 - SBF), 0.0, shift) for index in range(len(shift)): if (fabs(shift[index]) > SBF): - file_N[index + 1] = file_N[index + 1] + 1L; + file_N[index + 1] = file_N[index + 1] + 1; shift = where(greater(fabs(shift), SBF), shift, 0.0) wholebins = wholebins.tolist() @@ -168,15 +169,15 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): # Show the user what shifts were required -print 'The bin shifts requires to align the data files in phase are:' -print ' %s.dat: %+f bins' % (infile[0], 0.0) +print('The bin shifts requires to align the data files in phase are:') +print(' %s.dat: %+f bins' % (infile[0], 0.0)) for index in range(len(shift)): - print ' %s.dat: %+f bins' % (infile[index+1], shift[index]) -print '' + print(' %s.dat: %+f bins' % (infile[index+1], shift[index])) +print('') # Show the user what the output files will consist of -print 'The output file will consist of:' +print('The output file will consist of:') outfile_N = [] commands = [] @@ -187,8 +188,8 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_startMJDi[0], \ file_startMJDf[0]) totalbins = totalbins + outfile_N[2 * index] - print ' data: %9.0f pts starting at MJD %5d.%015.0f' % \ - (outfile_N[2 * index], MJDi, MJDf * 1.0e15) + print(' data: %9.0f pts starting at MJD %5d.%015.0f' % \ + (outfile_N[2 * index], MJDi, MJDf * 1.0e15)) if (index == 0): commands.append(" cp %s.dat %s" % (infile[0], outfilenm)) else: @@ -198,8 +199,8 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): (MJDi, MJDf) = addtoMJD(totalbins * dt / SECPERDAY, \ file_startMJDi[0], \ file_startMJDf[0]) - print ' padding: %9.0f pts starting at MJD %5d.%015.0f' % \ - (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15) + print(' padding: %9.0f pts starting at MJD %5d.%015.0f' % \ + (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15)) totalbins = totalbins + outfile_N[2 * index + 1] commands.append(" patchdata %ld %f >> %s" % \ (wholebins[index], padval, outfilenm)) @@ -209,16 +210,16 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): (MJDi, MJDf) = addtoMJD(totalbins * dt / SECPERDAY, \ file_startMJDi[0], \ file_startMJDf[0]) - print ' data: %9.0f pts starting at MJD %5d.%015.0f' % \ - (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15) + print(' data: %9.0f pts starting at MJD %5d.%015.0f' % \ + (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15)) commands.append(" shiftdata %f %s.dat >> %s" % \ (shift[len(file_N)-1], infile[len(file_N)], outfilenm)) -print '' +print('') # Show the user the commands we will use to concat everything -print 'The commands to perform the concatenation will be:' +print('The commands to perform the concatenation will be:') for index in range(len(commands)): - print commands[index] -print '' + print(commands[index]) +print('') diff --git a/python/dedisp.py b/python/dedisp.py index 7b2f42662..4d9027bc5 100644 --- a/python/dedisp.py +++ b/python/dedisp.py @@ -1,3 +1,4 @@ +from __future__ import print_function import os # To use this script to help you dedisperse a bunch of time series, first @@ -29,7 +30,7 @@ def myexecute(cmd): - print "'%s'"%cmd + print("'%s'"%cmd) os.system(cmd) diff --git a/python/ffdot_example.py b/python/ffdot_example.py index 6468ba416..7c7a98202 100644 --- a/python/ffdot_example.py +++ b/python/ffdot_example.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as num import presto import ppgplot @@ -26,7 +27,7 @@ pffdot = presto.spectralpower(ffdot.flat) theo_max_pow = N**2.0/4.0 frp = max(pffdot) / theo_max_pow # Fraction of recovered power -print "Fraction of recovered signal power = %f" % frp +print("Fraction of recovered signal power = %f" % frp) a = time.clock() [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+norm(1)[0]/5.0, z+norm(1)[0], norm=1.0) diff --git a/python/fftfit_src/test_fftfit.py b/python/fftfit_src/test_fftfit.py index 133749147..385004834 100644 --- a/python/fftfit_src/test_fftfit.py +++ b/python/fftfit_src/test_fftfit.py @@ -1,3 +1,4 @@ +from __future__ import print_function #>>> print fftfit.__doc__ #This module 'fftfit' is auto-generated with f2py (version:2.13.175-1250). #Functions: @@ -20,4 +21,4 @@ for phs in [0.1, 0.3, 0.7]: prof = gaussian_profile(64, phs, 0.1)+num.random.standard_normal(64) shift,eshift,snr,esnr,b,errb,ngood = fftfit(prof,amp,pha) - print "True phs = %f, measured phs = %f +/- %f" % (phs, shift/len(prof),eshift/len(prof)) + print("True phs = %f, measured phs = %f +/- %f" % (phs, shift/len(prof),eshift/len(prof))) diff --git a/python/pdm2raw.py b/python/pdm2raw.py index d5722293e..3c77c116f 100644 --- a/python/pdm2raw.py +++ b/python/pdm2raw.py @@ -1,9 +1,10 @@ +from __future__ import print_function from numpyio import fread, fwrite from sys import argv -print "\nReading info from %s.hdr and" % argv[1] -print "%s.dat\n" % argv[1] -print "Writing %s.raw\n" % argv[1] +print("\nReading info from %s.hdr and" % argv[1]) +print("%s.dat\n" % argv[1]) +print("Writing %s.raw\n" % argv[1]) HEADERLEN = 640 BLOCKLEN = 49152 @@ -26,6 +27,6 @@ fwrite(outfile, BLOCKLEN, data[4:-4], 'b') else: break -print '' +print('') infile.close() outfile.close() diff --git a/python/ppdot_plane_plot.py b/python/ppdot_plane_plot.py index f12ab6ab5..606d6c86e 100644 --- a/python/ppdot_plane_plot.py +++ b/python/ppdot_plane_plot.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as np import psr_utils as pu import pypsrcat as cat @@ -55,15 +56,15 @@ snrs = np.asarray(snrs) binaries = np.asarray(binaries) -print "Plotting %d pulsars total:" % numgood -print " %d radio, %d non-radio" % (len(radios), len(nonradios)) -print " RRATs:", len(rrats) -print " magnetars:", len(magnetars) -print " high-energy:", len(hepsrs) -print " in SNRs:", len(snrs) -print " in binaries:", len(binaries) -print "Rejected %d for having no p-dot and %d for being in a cluster" % \ - (numpd0, numGC) +print("Plotting %d pulsars total:" % numgood) +print(" %d radio, %d non-radio" % (len(radios), len(nonradios))) +print(" RRATs:", len(rrats)) +print(" magnetars:", len(magnetars)) +print(" high-energy:", len(hepsrs)) +print(" in SNRs:", len(snrs)) +print(" in binaries:", len(binaries)) +print("Rejected %d for having no p-dot and %d for being in a cluster" % \ + (numpd0, numGC)) # Now set up the plot plims = np.asarray([0.001, 20.0]) diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index b871ae5c4..e0422b71b 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -1,4 +1,6 @@ -from prestoswig import * +from __future__ import print_function +from __future__ import absolute_import +from .prestoswig import * import os.path import numpy as np import Pgplot @@ -46,7 +48,7 @@ def read_inffile(filename, verbose=True): fname = filename[:-4] if (filename[-4:]==".inf") else filename id = infodata() if verbose: - print "Reading information from", "\""+fname+".inf\"" + print("Reading information from", "\""+fname+".inf\"") readinf(id, fname) return id @@ -76,8 +78,8 @@ def psrepoch(psrname, epoch, verbose=True): else: num = get_psr_at_epoch(psrname, epoch, pp) if verbose: - print 'Retrieved data at MJD %f for %s' % (epoch, pp.jname) - print 'The pulsar was #%d in the database.' % num + print('Retrieved data at MJD %f for %s' % (epoch, pp.jname)) + print('The pulsar was #%d in the database.' % num) return pp def read_rzwcands(filename): @@ -115,7 +117,7 @@ def next2_to_n(x): next2_to_n(x): Return the first value of 2^n >= x. """ - i = 1L + i = 1 while (i < x): i = i << 1 return i @@ -343,8 +345,9 @@ def estimate_rz(psr, T, show=0, device='/XWIN'): Pgplot.plotxy(r, times, labx = 'Time', \ laby = 'Fourier Frequency (r)', device=device) if device=='/XWIN': - print 'Press enter to continue:' - i = raw_input() + print('Press enter to continue:') + try: i = raw_input() + except NameError: i = input() Pgplot.nextplotpage() Pgplot.plotxy(z, times, labx = 'Time', laby = 'Fourier Frequency Derivative (z)', device=device) @@ -381,13 +384,13 @@ def show_ffdot_plane(data, r, z, dr = 0.125, dz = 0.5, highpt = np.argmax(ffdpow.ravel()) hir = highpt % numr hiz = highpt / numr - print "" - print "Fourier Freqs from ", min(x), "to", max(x), "." - print "Fourier Fdots from ", min(y), "to", max(y), "." - print "Maximum normalized power is ", ffdpow[hiz][hir] - print "The max value is located at: r =", startbin + hir * dr, \ - " z =", startz + hiz * dz - print "" + print("") + print("Fourier Freqs from ", min(x), "to", max(x), ".") + print("Fourier Fdots from ", min(y), "to", max(y), ".") + print("Maximum normalized power is ", ffdpow[hiz][hir]) + print("The max value is located at: r =", startbin + hir * dr, \ + " z =", startz + hiz * dz) + print("") if not T: Pgplot.plot2d(ffdpow, x, y, labx = "Fourier Frequency (bins)", \ laby = "Fourier Frequency Derivative", \ @@ -518,13 +521,13 @@ def bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): elif (obs.telescope == 'Arecibo'): tel = 'AO' elif (obs.telescope == 'MMT'): tel = 'MT' else: - print "Telescope not recognized." + print("Telescope not recognized.") return 0 barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) - print "Topocentric start time = %17.11f" % tts[0] - print "Barycentric start time = %17.11f" % bts[0] + print("Topocentric start time = %17.11f" % tts[0]) + print("Barycentric start time = %17.11f" % bts[0]) avgvel = np.add.reduce(vel) / nn - print "Average Earth velocity = %10.5e c" % (avgvel) + print("Average Earth velocity = %10.5e c" % (avgvel)) tts = np.arange(nn, dtype='d') * dt bts = (bts - bts[0]) * SECPERDAY [fb, fbd, fbdd] = p_to_f(pb, pbd, pbdd) @@ -532,12 +535,12 @@ def bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): a = np.transpose(np.asarray([tts, tts**2.0, tts**3.0])) [ft, ftd, ftdd], residuals, rank, sv = linear_least_squares(a,b) [pt, ptd, ptdd] = p_to_f(ft, ftd, ftdd) - print " Topocentric period = %15.12f" % pt - print " Topocentric p-dot = %15.9e" % ptd - print " Topocentric p-dotdot = %15.9e" % ptdd - print " Quick Topo period = %15.12f" % (pb * (1.0 + avgvel)) - print " Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel)) - print " Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel)) + print(" Topocentric period = %15.12f" % pt) + print(" Topocentric p-dot = %15.9e" % ptd) + print(" Topocentric p-dotdot = %15.9e" % ptdd) + print(" Quick Topo period = %15.12f" % (pb * (1.0 + avgvel))) + print(" Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel))) + print(" Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel))) return [pt, ptd, ptdd] @@ -561,8 +564,8 @@ def measure_phase(profile, template, sigma, fwhm): from simple_roots import newton_raphson N = len(profile) if not (N == len(template)): - print "Lengths of 'profile' and 'template' must" - print " be equal in measure_phase()." + print("Lengths of 'profile' and 'template' must") + print(" be equal in measure_phase().") return 0.0 ft = rfft(profile) p0 = ft[0].real diff --git a/python/setup.py b/python/setup.py index 2b931cf99..3bdf215ac 100644 --- a/python/setup.py +++ b/python/setup.py @@ -1,3 +1,4 @@ +from __future__ import print_function from distutils.core import setup, Extension from distutils.sysconfig import get_python_inc, get_python_lib import os @@ -30,18 +31,18 @@ undef_macros.append('USE_NUMARRAY') if os.name == "posix": - if os.environ.has_key("PGPLOT_DIR"): + if "PGPLOT_DIR" in os.environ: ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) else: - print >>sys.stderr, "PGPLOT_DIR env var not defined!" - if os.environ.has_key("PRESTO"): + print("PGPLOT_DIR env var not defined!", file=sys.stderr) + if "PRESTO" in os.environ: presto_library_dirs.append(os.path.join(os.environ["PRESTO"], "lib")) presto_include_dirs.append(os.path.join(os.environ["PRESTO"], "include")) else: - print >>sys.stderr, "PRESTO env var not defined!" + print("PRESTO env var not defined!", file=sys.stderr) else: - raise Exception, "os not supported" + raise Exception("os not supported") ext_ppgplot = make_extension('_ppgplot', [os.path.join('ppgplot_src','_ppgplot.c')], diff --git a/python/setup_ppgplot.py b/python/setup_ppgplot.py index 1a298ddff..bfb6d410e 100644 --- a/python/setup_ppgplot.py +++ b/python/setup_ppgplot.py @@ -1,3 +1,4 @@ +from __future__ import print_function from distutils.core import setup, Extension from distutils.sysconfig import get_python_inc, get_python_lib import os @@ -25,13 +26,13 @@ undef_macros.append('USE_NUMARRAY') if os.name == "posix": - if os.environ.has_key("PGPLOT_DIR"): + if "PGPLOT_DIR" in os.environ: ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) else: - print >>sys.stderr, "PGPLOT_DIR env var not defined!" + print("PGPLOT_DIR env var not defined!", file=sys.stderr) else: - raise Exception, "os not supported" + raise Exception("os not supported") ext_ppgplot = make_extension('_ppgplot', [os.path.join('ppgplot_src','_ppgplot.c')], diff --git a/python/show_zresp.py b/python/show_zresp.py index 230eace33..8b323bce8 100644 --- a/python/show_zresp.py +++ b/python/show_zresp.py @@ -1,3 +1,4 @@ +from __future__ import print_function from numpy import * from Pgplot import * from presto import * @@ -8,7 +9,7 @@ f = arange(numkern, dtype=float64) / numbetween - kern_half_width kern = gen_z_response(0.0, numbetween, numkern, 0.0) pkern = spectralpower(kern) -print "Freq ", f[len(f)/2], " = ", pkern[len(f)/2] +print("Freq ", f[len(f)/2], " = ", pkern[len(f)/2]) plotxy(pkern, f, labx="Fourier Frequency Offset", \ laby="Normalized Power", device="z_responses.eps/CPS") #plotxy(pkern, f, labx="Fourier Frequency Offset", \ diff --git a/python/testcorr.py b/python/testcorr.py index 83e43c0f2..ba3bf2947 100644 --- a/python/testcorr.py +++ b/python/testcorr.py @@ -1,3 +1,4 @@ +from __future__ import print_function from numpy import * from Pgplot import * from presto import * @@ -33,8 +34,8 @@ cphs = spectralphase(ca) maxval = argmax(cpow) plotxy(cpow, cf-1e6, labx="Fourier Frequency - 1e6", laby="Power") -print "Maximum value is at r =", startbin + maxval / float(numbetween) -print " Power =", cpow[maxval], " Phase =", cphs[maxval] +print("Maximum value is at r =", startbin + maxval / float(numbetween)) +print(" Power =", cpow[maxval], " Phase =", cphs[maxval]) closeplot() # Show the power spectrum with f-dot correction @@ -46,7 +47,7 @@ cphs = spectralphase(ca) maxval = argmax(cpow) plotxy(cpow, cf-1e6, labx="Fourier Frequency - 1e6", laby="Power") -print "Maximum value is at r =", startbin + maxval / float(numbetween) -print " Power =", cpow[maxval], " Phase =", cphs[maxval] +print("Maximum value is at r =", startbin + maxval / float(numbetween)) +print(" Power =", cpow[maxval], " Phase =", cphs[maxval]) closeplot() diff --git a/tests/python/cvec.py b/tests/python/cvec.py index 36fa1615d..aa0ea7a51 100644 --- a/tests/python/cvec.py +++ b/tests/python/cvec.py @@ -1,3 +1,4 @@ +from __future__ import print_function from Numeric import * from cvects import * @@ -8,16 +9,16 @@ def multcarr(a, val): mult_arr(a, val, len(a)) a = open("cvects.h", "r") -print get_filelen(a) +print(get_filelen(a)) a.close() d = arange(10, typecode='d') -print d +print(d) dgenrotate_1d(d, len(d), 3.5) -print d -print dstats(d, len(d)) +print(d) +print(dstats(d, len(d))) f = complex_arr(10) -print f +print(f) mult_arr(f, 10.0, len(f)) -print f +print(f) From 77b42043abef7367bdb48880dbe24799e17d14c0 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 11:41:33 +0200 Subject: [PATCH 002/146] futurize --stage2 --nofix=division_safe on all py files --- bin/DDplan.py | 6 ++++-- bin/GBNCC_search.py | 8 ++++++-- bin/GBT350_drift_prep.py | 1 + bin/GBT350_drift_search.py | 8 ++++++-- bin/GUPPI_drift_prep.py | 1 + bin/PALFA_presto_search.py | 8 ++++++-- bin/downsample_filterbank.py | 3 ++- bin/filter_zerolags.py | 1 + bin/fit_circular_orbit.py | 1 + bin/fitorb.py | 1 + bin/get_TOAs.py | 5 +++-- bin/guppidrift2fil.py | 1 + bin/injectpsr.py | 2 ++ bin/make_spd.py | 12 ++++++----- bin/makezaplist.py | 12 +++++++---- bin/plot_spd.py | 5 +++-- bin/powerstats.py | 10 ++++----- bin/psrfits2fil.py | 1 + bin/psrfits_quick_bandpass.py | 1 + bin/pulsestack.py | 2 ++ bin/pygaussfit.py | 4 +++- bin/pyplotres.py | 20 ++++++++++-------- bin/quickffdots.py | 1 + bin/rrattrap.py | 10 ++++++--- bin/single_pulse_search.py | 23 +++++++++++++-------- bin/sortwappfiles.py | 3 ++- bin/sum_profiles.py | 2 ++ bin/tim2dat.py | 1 + lib/python/Pgplot.py | 5 ++++- lib/python/barycenter.py | 1 + lib/python/bestprof.py | 3 ++- lib/python/binary_psr.py | 3 ++- lib/python/cosine_rand.py | 9 +++++--- lib/python/events.py | 1 + lib/python/filterbank.py | 3 ++- lib/python/infodata.py | 3 ++- lib/python/injectpsr.py | 2 ++ lib/python/kuiper.py | 3 ++- lib/python/mpfit.py | 7 +++++-- lib/python/parfile.py | 5 +++-- lib/python/polycos.py | 6 ++++-- lib/python/prepfold.py | 6 ++++-- lib/python/psr_utils.py | 4 +++- lib/python/psrfits.py | 10 +++++---- lib/python/pypsrcat.py | 11 ++++++---- lib/python/residuals.py | 4 +++- lib/python/rfifind.py | 7 +++++-- lib/python/sifting.py | 25 ++++++++++++++--------- lib/python/sigproc.py | 5 +++-- lib/python/simple_roots.py | 3 ++- lib/python/singlepulse/make_spd.py | 12 ++++++----- lib/python/singlepulse/plot_spd.py | 5 +++-- lib/python/singlepulse/read_spd.py | 3 ++- lib/python/singlepulse/rrattrap.py | 10 ++++++--- lib/python/singlepulse/rrattrap_config.py | 1 + lib/python/singlepulse/sp_pgplot.py | 4 +++- lib/python/singlepulse/spcand.py | 3 ++- lib/python/singlepulse/spio.py | 3 ++- lib/python/spectra.py | 3 +++ python/ACCEL_sift.py | 3 ++- python/binopttest/bindata.py | 7 +++++-- python/binopttest/comb.py | 1 + python/binopttest/montebinopt.py | 13 ++++++++---- python/binresponses/monte_ffdot.py | 1 + python/binresponses/monte_short.py | 1 + python/binresponses/monte_sideb.py | 1 + python/binresponses/montebinresp.py | 1 + python/concatdata.py | 5 ++++- python/dedisp.py | 2 ++ python/ppdot_plane_plot.py | 1 + python/presto_src/__init__.py | 2 ++ python/presto_src/prestoswig.py | 3 ++- python/show_zresp.py | 1 + python/testcorr.py | 1 + python/wrappers/presto.py | 3 ++- 75 files changed, 254 insertions(+), 115 deletions(-) diff --git a/bin/DDplan.py b/bin/DDplan.py index 869aaa344..7ab3b9a2d 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,9 +1,11 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import object from numpy import * from Pgplot import * -class observation: +class observation(object): def __init__(self, dt, f_ctr, BW, numchan, cDM): # dt in sec, f_ctr and in MHz self.dt = dt @@ -20,7 +22,7 @@ def guess_dDM(self, DM): """ return self.dt*0.0001205*self.f_ctr**3.0/(0.5*self.BW) -class dedisp_method: +class dedisp_method(object): def __init__(self, obs, downsamp, loDM, hiDM, dDM, numDMs=0, numsub=0, smearfact=2.0): self.obs = obs diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index 298827268..584c16468 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -1,5 +1,9 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -115,7 +119,7 @@ def get_folding_command(cand, obs, ddplans, maskfile): (maskfile, cand.candnum, cand.filename, cand.DM, outfilenm, otheropts, N, Mp, Mdm, foldnsubs, fitsfile) -class obs_info: +class obs_info(object): """ class obs_info(fits_filenm) A class describing the observation and the analysis. @@ -199,7 +203,7 @@ def write_report(self, filenm): report_file.write("---------------------------------------------------------\n") report_file.close() -class dedisp_plan: +class dedisp_plan(object): """ class dedisp_plan(lodm, dmstep, dmsperpass, numpasses, numsub, downsamp) A class describing a de-dispersion plan for prepsubband in detail. diff --git a/bin/GBT350_drift_prep.py b/bin/GBT350_drift_prep.py index 2d4a37558..cf15e14c8 100755 --- a/bin/GBT350_drift_prep.py +++ b/bin/GBT350_drift_prep.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, os, random, sigproc import psr_utils as pu diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index ec9097fcf..77888230c 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -1,5 +1,9 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -114,7 +118,7 @@ def get_folding_command(cand, obs, ddplans): (cand.candnum, cand.filename, cand.DM, outfilenm, otheropts, N, Mp, Mdm, filfile) -class obs_info: +class obs_info(object): """ class obs_info(fil_filenm) A class describing the observation and the analysis. @@ -198,7 +202,7 @@ def write_report(self, filenm): report_file.write("---------------------------------------------------------\n") report_file.close() -class dedisp_plan: +class dedisp_plan(object): """ class dedisp_plan(lodm, dmstep, dmsperpass, numpasses, numsub, downsamp) A class describing a de-dispersion plan for prepsubband in detail. diff --git a/bin/GUPPI_drift_prep.py b/bin/GUPPI_drift_prep.py index 12795029e..7a10d03d4 100755 --- a/bin/GUPPI_drift_prep.py +++ b/bin/GUPPI_drift_prep.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, os, random, sigproc import psr_utils as pu import pyfits diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index 849fe4852..fb75ba796 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -1,5 +1,9 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import glob, os, os.path, shutil, socket, struct, sys, time, tarfile import numpy, psr_utils, presto, sifting, sigproc @@ -193,7 +197,7 @@ def get_folding_command(cand, obs, ddplans): (cand.candnum, cand.filename, cand.DM, outfilenm, otheropts, N, Mp, Mdm, foldfiles) -class obs_info: +class obs_info(object): """ class obs_info(fil_filenm) A class describing the observation and the analysis. @@ -293,7 +297,7 @@ def write_report(self, filenm): report_file.write("---------------------------------------------------------\n") report_file.close() -class dedisp_plan: +class dedisp_plan(object): """ class dedisp_plan(lodm, dmstep, dmsperpass, numpasses, numsub, downsamp) A class describing a de-dispersion plan for prepsubband in detail. diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index 16a270ca9..33adba3d1 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, sigproc import numpy as num @@ -49,7 +50,7 @@ print("Whoops! File length calculation is not right...") # Now loop over the spectra - for ii in xrange(numspec / DS_fact): + for ii in range(numspec / DS_fact): try: x = num.fromfile(infile, dtype=num.ubyte, count=DS_fact*nchans) x.shape = (DS_fact, nchans) diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index 4e4c5dd20..34cf77443 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import numpy as N import sys, scipy.io, scipy.signal diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index e137114a7..5c84d2657 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import numpy as num import psr_utils as pu import parfile, bestprof, sys diff --git a/bin/fitorb.py b/bin/fitorb.py index 70776a4ce..1eebe3e68 100755 --- a/bin/fitorb.py +++ b/bin/fitorb.py @@ -4,6 +4,7 @@ fitorb: A non-linear optimizer for solving pulsar orbits by Ryan Lynch """ from __future__ import print_function +from builtins import range from numpy import * from mpfit import mpfit diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index 730d4c6b1..ff5f0c6e5 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import struct, getopt, sys, fftfit, psr_utils import numpy as Num from infodata import infodata @@ -159,14 +160,14 @@ def usage(): for subs in a.split(','): if (subs.find("-") > 0): lo, hi = subs.split("-") - kill.extend(range(int(lo), int(hi)+1)) + kill.extend(list(range(int(lo), int(hi)+1))) else: kill.append(int(subs)) if o in ("-i", "--kints"): for ints in a.split(','): if (ints.find("-") > 0): lo, hi = ints.split("-") - kints.extend(range(int(lo), int(hi)+1)) + kints.extend(list(range(int(lo), int(hi)+1))) else: kints.append(int(ints)) diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 1745341af..31462f647 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -2,6 +2,7 @@ #Begun on 2/13/2014 from a copy of psrfits2fil.py //NEG-D// from __future__ import print_function +from builtins import range import numpy as np import pyfits import filterbank diff --git a/bin/injectpsr.py b/bin/injectpsr.py index 77c2c43ef..793df1c86 100755 --- a/bin/injectpsr.py +++ b/bin/injectpsr.py @@ -6,6 +6,8 @@ Patrick Lazarus, June 26, 2012 """ from __future__ import print_function +from builtins import zip +from builtins import object import sys import argparse import warnings diff --git a/bin/make_spd.py b/bin/make_spd.py index 845cff295..7f30da792 100755 --- a/bin/make_spd.py +++ b/bin/make_spd.py @@ -11,6 +11,8 @@ Chitrang Patel - May. 21, 2015 -- Updated on June 10 2016 """ from __future__ import print_function +from builtins import map +from builtins import range import sys import copy @@ -195,11 +197,11 @@ def make_spd_from_file(spdcand, rawdatafile, \ delays_nozerodm = delays_nozerodm, \ freqs_nozerodm = freqs_nozerodm,\ Data_zerodm = Data_zerodm.astype(np.float16), \ - dm_arr= map(np.float16, dm_arr),\ - sigma_arr = map(np.float16, sigma_arr), \ - width_arr =map(np.uint8, width_arr),\ - dm_list= map(np.float16, dm_list), \ - time_list = map(np.float16, time_list), \ + dm_arr= list(map(np.float16, dm_arr)),\ + sigma_arr = list(map(np.float16, sigma_arr)), \ + width_arr =list(map(np.uint8, width_arr)),\ + dm_list= list(map(np.float16, dm_list)), \ + time_list = list(map(np.float16, time_list)), \ text_array = text_array) #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) if plot: diff --git a/bin/makezaplist.py b/bin/makezaplist.py index b9ef034b8..cf1c3cf42 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -1,11 +1,15 @@ #!/usr/bin/env python from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import range +from builtins import object from sys import argv, exit from string import index from presto import * -class bird: +class bird(object): def __init__(self, freq, width, bary=0): self.freq = freq self.width = width @@ -48,7 +52,7 @@ def processbirds(filename): if (psr.orb.p): (minv, maxv) = binary_velocity(T, psr.orb) psrs += 1 - for harm in xrange(1, numharm+1): + for harm in range(1, numharm+1): if (psr.orb.p): midv = 0.5 * (maxv + minv) midf = (1.0 + midv) * psr.f * harm @@ -75,10 +79,10 @@ def processbirds(filename): bary = int(words[4]) trains += 1 if (increase_width): - for harm in xrange(1, numharm+1): + for harm in range(1, numharm+1): birds.append(bird(freq * harm, width * harm, bary)) else: - for harm in xrange(1, numharm+1): + for harm in range(1, numharm+1): birds.append(bird(freq * harm, width, bary)) else: freqs += 1 diff --git a/bin/plot_spd.py b/bin/plot_spd.py index 79a5c1a1a..0e5a8f748 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -9,6 +9,7 @@ Chitrang Patel - June 10, 2016. """ from __future__ import print_function +from builtins import map import numpy as np import optparse import tarfile @@ -306,8 +307,8 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal spfiles = singlepulsefiles threshold = 5.0 if len(spfiles) > 2: - dm_list = map(np.float32, list(dm_arr)) - time_list = map(np.float32, list(time_arr)) + dm_list = list(map(np.float32, list(dm_arr))) + time_list = list(map(np.float32, list(time_arr))) if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) else: diff --git a/bin/powerstats.py b/bin/powerstats.py index 034a8fe62..c734211fd 100755 --- a/bin/powerstats.py +++ b/bin/powerstats.py @@ -1,16 +1,17 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import input import numpy as Num from events import * def answer_yes(question): yes = ['', 'Y', 'y', 'Yes', 'yes', 'YES', 'T', 't', 'True', 'true', 'TRUE'] - return raw_input('\n'+question) in yes + return input('\n'+question) in yes def ask_float(question, default=None): while 1: - ans = raw_input('\n'+question) + ans = input('\n'+question) if not ans: ans = default try: @@ -20,7 +21,7 @@ def ask_float(question, default=None): def ask_int(question, default=None): while 1: - ans = raw_input('\n'+question) + ans = input('\n'+question) if not ans: ans = default try: @@ -61,8 +62,7 @@ def ask_int(question, default=None): numphot = ask_int("How many counts (photons) were there? ") lofreq, hifreq = rlo / T, rhi / T trial_freqs = (10.0**(Num.arange(7.0)-2.0)).tolist() - trial_freqs = filter(lambda x: x > lofreq and x < hifreq, - trial_freqs) + trial_freqs = [x for x in trial_freqs if x > lofreq and x < hifreq] print("\nThe trial frequencies (Hz) are:", trial_freqs) if answer_yes(\ "Would you like to add any more? [y] "): diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index eca0de436..85a982adf 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -1,6 +1,7 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import numpy as np import psrfits import filterbank diff --git a/bin/psrfits_quick_bandpass.py b/bin/psrfits_quick_bandpass.py index d0edb1a8b..0f4695ee6 100755 --- a/bin/psrfits_quick_bandpass.py +++ b/bin/psrfits_quick_bandpass.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip import numpy as np import matplotlib.pyplot as plt import sys, psrfits diff --git a/bin/pulsestack.py b/bin/pulsestack.py index 348f23a2f..4f89a56e0 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -20,6 +20,8 @@ ###################################################################### from __future__ import print_function +from builtins import str +from builtins import range import numpy as np import array as ar import os, os.path, stat, glob, sys diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 6543944dd..37b14a8d1 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -1,5 +1,7 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range +from builtins import object from psr_utils import gaussian_profile, span, read_profile from matplotlib.patches import Rectangle from bestprof import bestprof @@ -7,7 +9,7 @@ import numpy as Num import mpfit, sys -class GaussianSelector: +class GaussianSelector(object): def __init__(self, ax, profile, errs, profnm, minspanx=None, minspany=None, useblit=True): self.ax = ax.axes diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 733b89cb4..238f24530 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -6,6 +6,10 @@ # Patrick Lazarus, Feb 26th, 2009 from __future__ import print_function +from builtins import input +from builtins import str +from builtins import range +from builtins import object import optparse import sys import re @@ -77,7 +81,7 @@ def find_freq_clusters(freqs): return freqbands -class TempoResults: +class TempoResults(object): def __init__(self, freqbands): """Read TEMPO results (resid2.tmp, tempo.lis, timfile and parfiles) freqbands is a list of frequency pairs to display. @@ -163,7 +167,7 @@ def get_info(self, freq_label, index, postfit=True): -class Resids: +class Resids(object): """The Resids object contains the following information about TEMPO residuals: bary_TOA @@ -533,8 +537,8 @@ def keypress(event): elif event.key.lower() == 'x': # Set x-axis limits print("Setting x-axis limits. User input required...") - xmin = raw_input("X-axis minimum: ") - xmax = raw_input("X-axis maximum: ") + xmin = input("X-axis minimum: ") + xmax = input("X-axis maximum: ") try: xmin = float(xmin) xmax = float(xmax) @@ -549,15 +553,15 @@ def keypress(event): # Set y-axis limits print("Setting y-axis limits. User input required...") if len(axes) == 2: - axes_to_adjust = raw_input("Axes to adjust (pre/post): ") + axes_to_adjust = input("Axes to adjust (pre/post): ") if axes_to_adjust.lower().startswith('pre'): plt.axes(axes[0]) elif axes_to_adjust.lower().startswith('post'): plt.axes(axes[1]) else: raise ValueError - ymin = raw_input("Y-axis minimum: ") - ymax = raw_input("Y-axis maximum: ") + ymin = input("Y-axis minimum: ") + ymax = input("Y-axis maximum: ") try: ymin = float(ymin) ymax = float(ymax) @@ -643,7 +647,7 @@ def main(): # Before setting up our own event handlers delete matplotlib's # default 'key_press_event' handler. - defcids = fig.canvas.callbacks.callbacks['key_press_event'].keys() + defcids = list(fig.canvas.callbacks.callbacks['key_press_event'].keys()) for cid in defcids: fig.canvas.callbacks.disconnect(cid) diff --git a/bin/quickffdots.py b/bin/quickffdots.py index 341718406..c4e26b9da 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range from infodata import * from presto import ffdot_plane, spectralpower from pylab import * diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 4bc52db0f..0c8fb4d7b 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -15,6 +15,10 @@ Updated by Chitrang Patel June 10, 2016. """ from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import range +from builtins import object import fileinput import numpy as np from time import strftime @@ -217,9 +221,9 @@ def grouping_rfi(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): while didcombine: didcombine = False # If a group is very close to a group of rfi, set it as rfi - for i in reversed(range(len(groups))): + for i in reversed(list(range(len(groups)))): grp1 = groups[i] - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if j <= i: continue grp2 = groups[j] @@ -586,7 +590,7 @@ def pop_by_rank(groups, rank): Outputs: None """ - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if groups[j].rank == rank: del groups[j] diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index 504331d13..a708e9361 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,5 +1,10 @@ #!/usr/bin/env python from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import zip +from builtins import range +from builtins import object import bisect, os, sys, getopt, infodata, glob import scipy, scipy.signal, scipy.stats, ppgplot import numpy as Num @@ -8,7 +13,7 @@ from optparse import OptionParser from Pgplot import * -class candidate: +class candidate(object): def __init__(self, DM, sigma, time, bin, downfact): self.DM = DM self.sigma = sigma @@ -67,10 +72,10 @@ def prune_related1(hibins, hivals, downfact): # candidate arrays and uses the single downfact # that they were selected with. toremove = set() - for ii in xrange(0, len(hibins)-1): + for ii in range(0, len(hibins)-1): if ii in toremove: continue xbin, xsigma = hibins[ii], hivals[ii] - for jj in xrange(ii+1, len(hibins)): + for jj in range(ii+1, len(hibins)): ybin, ysigma = hibins[jj], hivals[jj] if (abs(ybin-xbin) > downfact/2): break @@ -94,11 +99,11 @@ def prune_related2(dm_candlist, downfacts): # instances and looks at the different downfacts of the # the different candidates. toremove = set() - for ii in xrange(0, len(dm_candlist)-1): + for ii in range(0, len(dm_candlist)-1): if ii in toremove: continue xx = dm_candlist[ii] xbin, xsigma = xx.bin, xx.sigma - for jj in xrange(ii+1, len(dm_candlist)): + for jj in range(ii+1, len(dm_candlist)): yy = dm_candlist[jj] ybin, ysigma = yy.bin, yy.sigma if (abs(ybin-xbin) > max(downfacts)/2): @@ -123,7 +128,7 @@ def prune_border_cases(dm_candlist, offregions): # of the boundary between data and padding #print offregions toremove = set() - for ii in xrange(len(dm_candlist)-1, -1, -1): + for ii in range(len(dm_candlist)-1, -1, -1): cand = dm_candlist[ii] loside = cand.bin-cand.downfact/2 hiside = cand.bin+cand.downfact/2 @@ -347,8 +352,8 @@ def main(): if useffts: fftd_kerns = make_fftd_kerns(default_downfacts, fftlen) if info.breaks: - offregions = zip([x[1] for x in info.onoff[:-1]], - [x[0] for x in info.onoff[1:]]) + offregions = list(zip([x[1] for x in info.onoff[:-1]], + [x[0] for x in info.onoff[1:]])) # If last break spans to end of file, don't read it in (its just padding) if offregions[-1][1] == N - 1: @@ -429,7 +434,7 @@ def main(): # Step through the data dm_candlist = [] - for chunknum in xrange(numchunks): + for chunknum in range(numchunks): loind = chunknum*chunklen-overlap hiind = (chunknum+1)*chunklen+overlap # Take care of beginning and end of file overlap issues diff --git a/bin/sortwappfiles.py b/bin/sortwappfiles.py index 6e11ee9da..57eebfa7f 100755 --- a/bin/sortwappfiles.py +++ b/bin/sortwappfiles.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, re maxwappnum = 7 @@ -14,7 +15,7 @@ wappfiles[wappnum] = [filename] break -for key in wappfiles.keys(): +for key in list(wappfiles.keys()): numfiles = len(wappfiles[key]) wappfiles[key].sort() diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index e6b182014..569b4fed3 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -1,5 +1,7 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import range import struct, getopt, sys, fftfit, psr_utils, os.path, sinc_interp, Pgplot import numpy as Num from infodata import infodata diff --git a/bin/tim2dat.py b/bin/tim2dat.py index 2c57db328..fe1c7aef0 100755 --- a/bin/tim2dat.py +++ b/bin/tim2dat.py @@ -2,6 +2,7 @@ from __future__ import print_function import astropy.coordinates as coords import astropy.units as u +from builtins import str import os import os.path import argparse diff --git a/lib/python/Pgplot.py b/lib/python/Pgplot.py index 08184decb..027bd7be9 100644 --- a/lib/python/Pgplot.py +++ b/lib/python/Pgplot.py @@ -1,4 +1,7 @@ from __future__ import print_function +from builtins import str +from builtins import range +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -557,7 +560,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ ######################################################################### -class Palette: +class Palette(object): # Set the color palette def setpalette(self, palette): """ diff --git a/lib/python/barycenter.py b/lib/python/barycenter.py index 38b156a4a..857e32c09 100644 --- a/lib/python/barycenter.py +++ b/lib/python/barycenter.py @@ -1,3 +1,4 @@ +from builtins import range ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import math diff --git a/lib/python/bestprof.py b/lib/python/bestprof.py index fd1520986..11e16789a 100644 --- a/lib/python/bestprof.py +++ b/lib/python/bestprof.py @@ -1,3 +1,4 @@ +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import numpy as num @@ -15,7 +16,7 @@ def get_epochs(line): epochf = float(int(fsec))/86400.0 return epochi, epochf -class bestprof: +class bestprof(object): def __init__(self, filenm): infile = open(filenm) self.topo = 0 diff --git a/lib/python/binary_psr.py b/lib/python/binary_psr.py index b80255476..f32c205bc 100644 --- a/lib/python/binary_psr.py +++ b/lib/python/binary_psr.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import object import numpy as Num import parfile, psr_utils from psr_constants import * @@ -30,7 +31,7 @@ def shapS(m1, m2, x, pb): # Note: S is also equal to sin(i) -class binary_psr: +class binary_psr(object): """ class binary_psr diff --git a/lib/python/cosine_rand.py b/lib/python/cosine_rand.py index f49dd4642..40941252a 100644 --- a/lib/python/cosine_rand.py +++ b/lib/python/cosine_rand.py @@ -1,6 +1,9 @@ from __future__ import print_function +from future import standard_library +standard_library.install_aliases() +from builtins import range import numpy as Num -import cPickle, os +import pickle, os n = 1000 @@ -22,11 +25,11 @@ def dfunc(x): xs[ii] = newton_raphson(func, dfunc, 0.0, 1.0) xs[0] = 0.0 xs[n] = 1.0 - cPickle.dump(xs, file("cosine_rand.pickle", "w"), 1) + pickle.dump(xs, file("cosine_rand.pickle", "w"), 1) else: pfile = os.path.join(os.environ['PRESTO'], "lib", "python", "cosine_rand.pickle") - xs = cPickle.load(file(pfile)) + xs = pickle.load(file(pfile)) def cosine_rand(num): """cosine_rand(num): Return num phases that are randomly distributed diff --git a/lib/python/events.py b/lib/python/events.py index ffa0be77f..6fa37c2fb 100644 --- a/lib/python/events.py +++ b/lib/python/events.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range import bisect import numpy as Num from psr_constants import PI, TWOPI, PIBYTWO diff --git a/lib/python/filterbank.py b/lib/python/filterbank.py index 86f23608c..59f80c049 100644 --- a/lib/python/filterbank.py +++ b/lib/python/filterbank.py @@ -5,6 +5,7 @@ (Minor modification from file originally from June 6th, 2009) """ from __future__ import print_function +from builtins import object import sys import warnings @@ -41,7 +42,7 @@ def create_filterbank_file(outfn, header, spectra=None, nbits=8, \ header['nbits'] = nbits outfile = open(outfn, 'wb') outfile.write(sigproc.addto_hdr("HEADER_START", None)) - for paramname in header.keys(): + for paramname in list(header.keys()): if paramname not in sigproc.header_params: # Only add recognized parameters continue diff --git a/lib/python/infodata.py b/lib/python/infodata.py index 27e770721..787496920 100644 --- a/lib/python/infodata.py +++ b/lib/python/infodata.py @@ -1,6 +1,7 @@ +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py -class infodata: +class infodata(object): def __init__(self, filenm): self.breaks = 0 for line in open(filenm): diff --git a/lib/python/injectpsr.py b/lib/python/injectpsr.py index 0af70e011..9e708c756 100755 --- a/lib/python/injectpsr.py +++ b/lib/python/injectpsr.py @@ -6,6 +6,8 @@ Patrick Lazarus, June 26, 2012 """ from __future__ import print_function +from builtins import zip +from builtins import object import sys import argparse import warnings diff --git a/lib/python/kuiper.py b/lib/python/kuiper.py index e44399b75..146ec75b9 100644 --- a/lib/python/kuiper.py +++ b/lib/python/kuiper.py @@ -1,11 +1,12 @@ from __future__ import print_function +from builtins import range import numpy as num import Pgplot from functools import reduce def noverk(n,k): # This is the combinations formula - return float(reduce(lambda a,b: a*(n-b)/(b+1), xrange(k),1)) + return float(reduce(lambda a,b: a*(n-b)/(b+1), range(k),1)) def Tt(t, z, N): overN = 1.0/float(N) diff --git a/lib/python/mpfit.py b/lib/python/mpfit.py index 531239aad..9719f2dcc 100644 --- a/lib/python/mpfit.py +++ b/lib/python/mpfit.py @@ -401,6 +401,9 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) August, 2002. Mark Rivers """ from __future__ import print_function +from builtins import str +from builtins import range +from builtins import object import numpy import types @@ -588,7 +591,7 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) # # ********** -class mpfit: +class mpfit(object): def __init__(self, fcn, xall=None, functkw={}, parinfo=None, ftol=1.e-10, xtol=1.e-10, gtol=1.e-10, damp=0., maxiter=200, factor=100., nprint=1, @@ -2236,7 +2239,7 @@ def calc_covar(self, rr, ipvt=None, tol=1.e-14): return(r) -class machar: +class machar(object): def __init__(self, double=1): if (double == 0): self.machep = 1.19209e-007 diff --git a/lib/python/parfile.py b/lib/python/parfile.py index 58c141eca..807cc0efe 100644 --- a/lib/python/parfile.py +++ b/lib/python/parfile.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import object from types import StringType, FloatType import math, re import psr_utils as pu @@ -56,7 +57,7 @@ "DMXR2_", "DMXF1_", "DMXF2_"] str_keys = ["FILE", "PSR", "PSRJ", "RAJ", "DECJ", "EPHEM", "CLK", "BINARY"] -class psr_par: +class psr_par(object): def __init__(self, parfilenm): self.FILE = parfilenm pf = open(parfilenm) @@ -190,7 +191,7 @@ def __init__(self, parfilenm): pf.close() def __str__(self): out = "" - for k, v in self.__dict__.items(): + for k, v in list(self.__dict__.items()): if k[:2]!="__": if type(self.__dict__[k]) is StringType: out += "%10s = '%s'\n" % (k, v) diff --git a/lib/python/polycos.py b/lib/python/polycos.py index 4c351dd67..5224ab0d4 100644 --- a/lib/python/polycos.py +++ b/lib/python/polycos.py @@ -1,3 +1,5 @@ +from builtins import range +from builtins import object import os import sys import subprocess @@ -61,7 +63,7 @@ "Geocenter": 12, \ "Barycenter": 12} -class polyco: +class polyco(object): def __init__(self, fileptr): line = fileptr.readline() if (line==""): @@ -136,7 +138,7 @@ def freq(self, mjdi, mjdf): psrfreq = DT*psrfreq + ii*self.coeffs[ii] return self.F0 + psrfreq/60.0 -class polycos: +class polycos(object): def __init__(self, psrname, filenm="polyco.dat"): self.psr = psrname self.file = filenm diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index 7a1bb651f..efd976534 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -1,11 +1,13 @@ from __future__ import print_function +from builtins import range +from builtins import object import numpy as Num import copy, random, struct, sys import psr_utils, infodata, polycos, Pgplot from types import StringType, FloatType, IntType from bestprof import bestprof -class pfd: +class pfd(object): def __init__(self, filename): self.pfd_filename = filename @@ -187,7 +189,7 @@ def __init__(self, filename): def __str__(self): out = "" - for k, v in self.__dict__.items(): + for k, v in list(self.__dict__.items()): if k[:2]!="__": if type(self.__dict__[k]) is StringType: out += "%10s = '%s'\n" % (k, v) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 345f76d3c..026055009 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import str +from builtins import range import numpy as Num import numpy.fft as FFT import Pgplot, ppgplot, bisect, sinc_interp, parfile @@ -114,7 +116,7 @@ def hist(data, bins, range=None, laby="Number", **kwargs): maxy = int(1.1*max(ys)) if maxy < max(ys): maxy = max(ys) + 1.0 - if 'rangey' not in kwargs.keys(): + if 'rangey' not in list(kwargs.keys()): kwargs['rangey']=[0,maxy] Pgplot.plotbinned(ys, xs, laby=laby, **kwargs) return (xs, ys) diff --git a/lib/python/psrfits.py b/lib/python/psrfits.py index bcff68ff5..755a40799 100644 --- a/lib/python/psrfits.py +++ b/lib/python/psrfits.py @@ -9,6 +9,8 @@ """ from __future__ import print_function +from builtins import range +from builtins import object import re import os import os.path @@ -188,7 +190,7 @@ def get_spectra(self, startsamp, N): # Read data data = [] - for isub in xrange(startsub, endsub+1): + for isub in range(startsub, endsub+1): data.append(self.read_subint(isub)) if len(data) > 1: data = np.concatenate(data) @@ -214,7 +216,7 @@ def get_spectra(self, startsamp, N): starttime=self.tsamp*startsamp, dm=0) -class SpectraInfo: +class SpectraInfo(object): def __init__(self, filenames): self.filenames = filenames self.num_files = len(filenames) @@ -248,7 +250,7 @@ def __init__(self, filenames): primary = hdus['PRIMARY'].header - if 'TELESCOP' not in primary.keys(): + if 'TELESCOP' not in list(primary.keys()): telescope = "" else: telescope = primary['TELESCOP'] @@ -276,7 +278,7 @@ def __init__(self, filenames): self.beam_FWHM = primary['BMIN'] # CHAN_DM card is not in earlier versions of PSRFITS - if 'CHAN_DM' not in primary.keys(): + if 'CHAN_DM' not in list(primary.keys()): self.chan_dm = 0.0 else: self.chan_dm = primary['CHAN_DM'] diff --git a/lib/python/pypsrcat.py b/lib/python/pypsrcat.py index 68a9f4cb3..37152fb65 100644 --- a/lib/python/pypsrcat.py +++ b/lib/python/pypsrcat.py @@ -1,4 +1,7 @@ from __future__ import print_function +from past.builtins import cmp +from builtins import map +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import struct, os, os.path, presto, psr_utils, math @@ -19,7 +22,7 @@ "TASC", "EPS1", "EPS2"] digits = '0123456789' -class psr: +class psr(object): def __init__(self, line): parts = line.split()[1:] part_index = 0 @@ -40,7 +43,7 @@ def __init__(self, line): elif param=="RAJ": if not parts[part_index]=='*': self.rajstr = parts[part_index] - hms = map(float, parts[part_index].split(':')) + hms = list(map(float, parts[part_index].split(':'))) if len(hms)==3: h, m, s = hms elif len(hms)==2: @@ -55,7 +58,7 @@ def __init__(self, line): elif param=="DECJ": if not parts[part_index]=='*': self.decjstr = parts[part_index] - dms = map(float, parts[part_index].split(':')) + dms = list(map(float, parts[part_index].split(':'))) if len(dms)==3: d, m, s = dms elif len(dms)==2: @@ -329,7 +332,7 @@ def pack_structs(self): pulsars[jname].alias = vals[2] infile.close() -psrs = pulsars.values() +psrs = list(pulsars.values()) psrs.sort() # Now create a new dictionary of pulsars with aliases diff --git a/lib/python/residuals.py b/lib/python/residuals.py index aa648a2fd..f5a9cd2a4 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import range +from builtins import object # # From the TEMPO Documentation: # @@ -16,7 +18,7 @@ import struct import numpy as Num -class residuals: +class residuals(object): pass def read_residuals(filename="resid2.tmp"): diff --git a/lib/python/rfifind.py b/lib/python/rfifind.py index 85d7f208e..dbeb3dff3 100644 --- a/lib/python/rfifind.py +++ b/lib/python/rfifind.py @@ -1,4 +1,7 @@ from __future__ import print_function +from builtins import zip +from builtins import range +from builtins import object import numpy as np import infodata from scipy.signal import medfilt @@ -39,7 +42,7 @@ class rfifind: """ -class rfifind: +class rfifind(object): def __init__(self, filename): self.basename = filename[:filename.find("_rfifind.")+8] self.idata = infodata.infodata(self.basename+".inf") @@ -144,7 +147,7 @@ def determine_padvals(self, frac_to_keep=0.8): num = int(np.round(self.nint*frac_to_keep)) start = (self.nint - num)/2 self.padvals = np.zeros(self.nchan, dtype='float32') - for ichan in xrange(self.nchan): + for ichan in range(self.nchan): isort = np.argsort(self.avg_stats[:,ichan]) self.padvals[ichan] = np.mean(self.avg_stats.astype('float64')[isort,ichan][start:start+num]) diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 7e083f968..0cc25cfd5 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,5 +1,10 @@ #!/usr/bin/env python from __future__ import print_function +from past.builtins import cmp +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import sys import re import os @@ -530,7 +535,7 @@ def get_all_goodcands(self): def get_all_badcands(self): cands = [] - for key in self.badlists.keys(): + for key in list(self.badlists.keys()): cands += self.badlists[key] return cands @@ -547,7 +552,7 @@ def reject_longperiod(self, long_period=None): """ if long_period is None: long_period = globals()['long_period'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] if (cand.p > long_period): cand.note = "Period is too long (%g ms > %g ms)" % \ @@ -567,7 +572,7 @@ def reject_shortperiod(self, short_period=None): """ if short_period is None: short_period = globals()['short_period'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] if (cand.p < short_period): cand.note = "Period is too short (%g ms < %g ms)" % \ @@ -594,7 +599,7 @@ def reject_knownbirds(self, known_birds_f=[], known_birds_p=[]): known_birds_f = globals()['known_birds_f'] if known_birds_p is None: known_birds_p = globals()['known_birds_p'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] known_bird = 0 for bird, err in known_birds_f: @@ -637,7 +642,7 @@ def reject_threshold(self, sigma_threshold=None, \ sigma_threshold = globals()['sigma_threshold'] if c_pow_threshold is None: c_pow_threshold = globals()['c_pow_threshold'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] if cand.numharm == 1: @@ -671,7 +676,7 @@ def reject_harmpowcutoff(self, harm_pow_cutoff=None): """ if harm_pow_cutoff is None: harm_pow_cutoff = globals()['harm_pow_cutoff'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] maxharm = Num.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] @@ -689,7 +694,7 @@ def reject_rogueharmpow(self): Ouputs: None """ - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] maxharm = Num.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] @@ -767,7 +772,7 @@ def remove_duplicate_candidates(self, verbosity=1): # flag the duplicates bestcand = self.cands[bestindex] # Add other matching cands as hit of highest-sigma cand - for matchind in reversed(range(ii, jj)): + for matchind in reversed(list(range(ii, jj))): if matchind == bestindex: # The current candidate is the highest-sigma cand # Don't remove it @@ -901,13 +906,13 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): dmdict = {} dms = Num.unique([float(dm) for dm in dmlist]) dmstrs = ['%.2f'%dm for dm in dms] - dmdict = dict(zip(dmstrs, range(len(dms)))) + dmdict = dict(list(zip(dmstrs, list(range(len(dms)))))) numremoved = 0 num_toofew = 0 num_toolow = 0 num_gaps = 0 self.cands.sort(cmp_sigma) - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): currcand = self.cands[ii] # Remove all the candidates without enough DM hits if len(currcand.hits) < numdms: diff --git a/lib/python/sigproc.py b/lib/python/sigproc.py index 53b57a404..2794ece23 100755 --- a/lib/python/sigproc.py +++ b/lib/python/sigproc.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip import os import struct import sys @@ -12,13 +13,13 @@ "GBT": 6, "GMRT": 7, "Effelsberg": 8, "ATA": 9, "SRT": 10, "LOFAR": 11, "VLA": 12, "CHIME": 20, "FAST": 21, "MeerKAT": 64, "KAT-7": 65} -ids_to_telescope = dict(zip(telescope_ids.values(), telescope_ids.keys())) +ids_to_telescope = dict(list(zip(list(telescope_ids.values()), list(telescope_ids.keys())))) machine_ids = {"FAKE": 0, "PSPM": 1, "Wapp": 2, "WAPP": 2, "AOFTM": 3, "BCPM1": 4, "BPP": 4, "OOTY": 5, "SCAMP": 6, "GBT Pulsar Spigot": 7, "SPIGOT": 7, "BG/P": 11, "PDEV": 12, "CHIME+PSR": 20, "KAT": 64, "KAT-DC2": 65} -ids_to_machine = dict(zip(machine_ids.values(), machine_ids.keys())) +ids_to_machine = dict(list(zip(list(machine_ids.values()), list(machine_ids.keys())))) header_params = { "HEADER_START": 'flag', diff --git a/lib/python/simple_roots.py b/lib/python/simple_roots.py index c6e0c3305..af4d924ea 100644 --- a/lib/python/simple_roots.py +++ b/lib/python/simple_roots.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range # 'Safe' Newton-Raphson and Secant method # for numerical root-finding # @@ -20,7 +21,7 @@ def bisect(func, lox, hix, TOL=1e-14, MAXIT=200): dx, rtb = hix - lox, lox else: dx, rtb = lox - hix, hix - for i in xrange(MAXIT): + for i in range(MAXIT): dx = dx * 0.5 xmid = rtb + dx fmid = func(xmid) diff --git a/lib/python/singlepulse/make_spd.py b/lib/python/singlepulse/make_spd.py index 4c4dc9493..5895ed45f 100755 --- a/lib/python/singlepulse/make_spd.py +++ b/lib/python/singlepulse/make_spd.py @@ -12,6 +12,8 @@ """ from __future__ import print_function from __future__ import absolute_import +from builtins import map +from builtins import range import sys import copy @@ -196,11 +198,11 @@ def make_spd_from_file(spdcand, rawdatafile, \ delays_nozerodm = delays_nozerodm, \ freqs_nozerodm = freqs_nozerodm,\ Data_zerodm = Data_zerodm.astype(np.float16), \ - dm_arr= map(np.float16, dm_arr),\ - sigma_arr = map(np.float16, sigma_arr), \ - width_arr =map(np.uint8, width_arr),\ - dm_list= map(np.float16, dm_list), \ - time_list = map(np.float16, time_list), \ + dm_arr= list(map(np.float16, dm_arr)),\ + sigma_arr = list(map(np.float16, sigma_arr)), \ + width_arr =list(map(np.uint8, width_arr)),\ + dm_list= list(map(np.float16, dm_list)), \ + time_list = list(map(np.float16, time_list)), \ text_array = text_array) #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) if plot: diff --git a/lib/python/singlepulse/plot_spd.py b/lib/python/singlepulse/plot_spd.py index 79a5c1a1a..0e5a8f748 100755 --- a/lib/python/singlepulse/plot_spd.py +++ b/lib/python/singlepulse/plot_spd.py @@ -9,6 +9,7 @@ Chitrang Patel - June 10, 2016. """ from __future__ import print_function +from builtins import map import numpy as np import optparse import tarfile @@ -306,8 +307,8 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal spfiles = singlepulsefiles threshold = 5.0 if len(spfiles) > 2: - dm_list = map(np.float32, list(dm_arr)) - time_list = map(np.float32, list(time_arr)) + dm_list = list(map(np.float32, list(dm_arr))) + time_list = list(map(np.float32, list(time_arr))) if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) else: diff --git a/lib/python/singlepulse/read_spd.py b/lib/python/singlepulse/read_spd.py index 40db14914..287c8445a 100755 --- a/lib/python/singlepulse/read_spd.py +++ b/lib/python/singlepulse/read_spd.py @@ -1,8 +1,9 @@ +from builtins import object import numpy as _np from scipy.special import erf as _erf import sys -class spd: +class spd(object): """ A class for reading in single pulse files. diff --git a/lib/python/singlepulse/rrattrap.py b/lib/python/singlepulse/rrattrap.py index 4bc52db0f..0c8fb4d7b 100755 --- a/lib/python/singlepulse/rrattrap.py +++ b/lib/python/singlepulse/rrattrap.py @@ -15,6 +15,10 @@ Updated by Chitrang Patel June 10, 2016. """ from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import range +from builtins import object import fileinput import numpy as np from time import strftime @@ -217,9 +221,9 @@ def grouping_rfi(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): while didcombine: didcombine = False # If a group is very close to a group of rfi, set it as rfi - for i in reversed(range(len(groups))): + for i in reversed(list(range(len(groups)))): grp1 = groups[i] - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if j <= i: continue grp2 = groups[j] @@ -586,7 +590,7 @@ def pop_by_rank(groups, rank): Outputs: None """ - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if groups[j].rank == rank: del groups[j] diff --git a/lib/python/singlepulse/rrattrap_config.py b/lib/python/singlepulse/rrattrap_config.py index 87569c464..957160312 100644 --- a/lib/python/singlepulse/rrattrap_config.py +++ b/lib/python/singlepulse/rrattrap_config.py @@ -1,3 +1,4 @@ +from builtins import range #! /usr/bin/env python CLOSE_DM = 2 # pc cm-3 diff --git a/lib/python/singlepulse/sp_pgplot.py b/lib/python/singlepulse/sp_pgplot.py index 405bb0348..78b5e8d27 100755 --- a/lib/python/singlepulse/sp_pgplot.py +++ b/lib/python/singlepulse/sp_pgplot.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import range +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -219,7 +221,7 @@ def dm_time_plot(dms, times, sigmas, dm_arr, sigma_arr, time_arr, Total_observed ######################################################################### -class Palette: +class Palette(object): # Set the color palette def setpalette(self, palette): """ diff --git a/lib/python/singlepulse/spcand.py b/lib/python/singlepulse/spcand.py index e6eb5f44e..cd1f16140 100755 --- a/lib/python/singlepulse/spcand.py +++ b/lib/python/singlepulse/spcand.py @@ -1,4 +1,5 @@ from __future__ import absolute_import +from builtins import object import numpy as np from . import bary_and_topo def topo_timeshift(bary_start_time, time_shift, topo): @@ -24,7 +25,7 @@ def numsub(nchans, snr): nsub = nchans return nsub -class params: +class params(object): """ A class for input parameters for the spd plots. diff --git a/lib/python/singlepulse/spio.py b/lib/python/singlepulse/spio.py index 421acdde4..91c6ffb77 100755 --- a/lib/python/singlepulse/spio.py +++ b/lib/python/singlepulse/spio.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range import numpy as _np import fileinput as _fileinput from scipy.special import erf @@ -224,7 +225,7 @@ def gen_arrays(dm, sp_files, tar, threshold): hidm = max_dm+diff_dm if (ddm <= 0): ddm = 0 - name_DMs = _np.asarray(map(lambda x:pick_DM_for_singlepulse_files(sp_files[x]), range(len(sp_files)))) + name_DMs = _np.asarray([pick_DM_for_singlepulse_files(sp_files[x]) for x in range(len(sp_files))]) inds = name_DMs.argsort() name_DMs = name_DMs[inds] sp_files = _np.asarray(sp_files)[inds] diff --git a/lib/python/spectra.py b/lib/python/spectra.py index 99150cd5c..83dd27686 100644 --- a/lib/python/spectra.py +++ b/lib/python/spectra.py @@ -1,3 +1,6 @@ +from builtins import str +from builtins import range +from builtins import object import copy import numpy as np diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index b61c89ddd..d418b5d69 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,3 +1,4 @@ +from builtins import map import sifting, re, glob # Note: You will almost certainly want to adjust @@ -50,7 +51,7 @@ dmstrs = [x.split("DM")[-1].split("_")[0] for x in candfiles] else: dmstrs = [x.split("DM")[-1].split(".inf")[0] for x in inffiles] -dms = map(float, dmstrs) +dms = list(map(float, dmstrs)) dms.sort() dmstrs = ["%.2f"%x for x in dms] diff --git a/python/binopttest/bindata.py b/python/binopttest/bindata.py index 65c425e41..c442c3a47 100644 --- a/python/binopttest/bindata.py +++ b/python/binopttest/bindata.py @@ -1,4 +1,7 @@ from __future__ import print_function +from future import standard_library +standard_library.install_aliases() +from builtins import range def catvar(col): ret = [] global a, b, c, d, e @@ -28,7 +31,7 @@ def readsaves(file='montebinopt_saves.txt'): return result def saveresults(file="testresults.txt"): - from cPickle import * + from pickle import * global psrp, orbp, orbx, orbe, orbw, orbt global widthp, widthx, widtht, widthe, widthw global mf, z @@ -127,7 +130,7 @@ def help(funct): """ print(eval(funct + '.__doc__')) - from cPickle import * + from pickle import * vars = ('psrp', 'orbp', 'orbx', 'orbe', 'orbw', 'orbt', 'widthp', 'widthx', 'widtht', 'widthe', 'widthw', 'mf', 'z') diff --git a/python/binopttest/comb.py b/python/binopttest/comb.py index 6e4562931..11a951335 100644 --- a/python/binopttest/comb.py +++ b/python/binopttest/comb.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from Numeric import * from presto import * from LeastSquares import leastSquaresFit diff --git a/python/binopttest/montebinopt.py b/python/binopttest/montebinopt.py index 688f7f649..dd5f9854a 100644 --- a/python/binopttest/montebinopt.py +++ b/python/binopttest/montebinopt.py @@ -1,5 +1,10 @@ from __future__ import print_function -import math, string, Numeric, presto, random, sys, cPickle +from future import standard_library +standard_library.install_aliases() +from builtins import str +from builtins import input +from builtins import range +import math, string, Numeric, presto, random, sys, pickle from LeastSquares import leastSquaresFit from orbitstuff import * @@ -141,7 +146,7 @@ def corr(data, kernel, numbetween, firsttime=0): Pgplot.plotxy(presto.spectralpower(data), color='red', title='Data', labx='Fourier Frequency', laby='Relative Power') - a = raw_input("Press enter to continue...") + a = input("Press enter to continue...") Pgplot.nextplotpage(1) # Perform the loops over the Keplerian parameters @@ -199,7 +204,7 @@ def corr(data, kernel, numbetween, firsttime=0): # Plot the results of the correlation Pgplot.plotxy(respow, labx='Frequency', laby='Relative Power') - a = raw_input("Press enter to continue...") + a = input("Press enter to continue...") Pgplot.nextplotpage(1) # A very rough adaptive stepsize if abs(vals[-3][1] - vals[-1][1]) < 0.04: @@ -223,6 +228,6 @@ def corr(data, kernel, numbetween, firsttime=0): if debugout: print('Widths are', widths[i]) # Save our most recent orbit and width information - cPickle.dump(widths[i], file, 1) + pickle.dump(widths[i], file, 1) file.close() diff --git a/python/binresponses/monte_ffdot.py b/python/binresponses/monte_ffdot.py index 6ae4bd208..841b9300f 100644 --- a/python/binresponses/monte_ffdot.py +++ b/python/binresponses/monte_ffdot.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/binresponses/monte_short.py b/python/binresponses/monte_short.py index 4e26df17d..df4fed2f1 100644 --- a/python/binresponses/monte_short.py +++ b/python/binresponses/monte_short.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/binresponses/monte_sideb.py b/python/binresponses/monte_sideb.py index 575ed95b5..e5cd6edad 100644 --- a/python/binresponses/monte_sideb.py +++ b/python/binresponses/monte_sideb.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/binresponses/montebinresp.py b/python/binresponses/montebinresp.py index 72ca725b8..719c312cf 100644 --- a/python/binresponses/montebinresp.py +++ b/python/binresponses/montebinresp.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/concatdata.py b/python/concatdata.py index 1b322e5a4..f21b89985 100644 --- a/python/concatdata.py +++ b/python/concatdata.py @@ -1,4 +1,7 @@ from __future__ import print_function +from future import standard_library +standard_library.install_aliases() +from builtins import range # Binary floating point data file concatenation routine # # Written by Scott M. Ransom @@ -93,7 +96,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_data.append(infodata(infile[index]+".inf")) file_data[index].mjd_i = int(file_data[index].epoch) file_data[index].mjd_f = file_data[index].epoch - file_data[index].mjd_i - file_N.append(long(file_data[index].N + 1.0e-10)) + file_N.append(int(file_data[index].N + 1.0e-10)) file_startMJDi.append(file_data[index].mjd_i) file_startMJDf.append(file_data[index].mjd_f) diff --git a/python/dedisp.py b/python/dedisp.py index 4d9027bc5..a01546053 100644 --- a/python/dedisp.py +++ b/python/dedisp.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import zip +from builtins import range import os # To use this script to help you dedisperse a bunch of time series, first diff --git a/python/ppdot_plane_plot.py b/python/ppdot_plane_plot.py index 606d6c86e..235f799bc 100644 --- a/python/ppdot_plane_plot.py +++ b/python/ppdot_plane_plot.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import zip import numpy as np import psr_utils as pu import pypsrcat as cat diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index e0422b71b..c329f81d6 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -1,5 +1,7 @@ from __future__ import print_function from __future__ import absolute_import +from builtins import input +from builtins import range from .prestoswig import * import os.path import numpy as np diff --git a/python/presto_src/prestoswig.py b/python/presto_src/prestoswig.py index ed32347f0..ecd58482d 100644 --- a/python/presto_src/prestoswig.py +++ b/python/presto_src/prestoswig.py @@ -1,3 +1,4 @@ +from builtins import object # This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.12 # @@ -91,7 +92,7 @@ def _swig_repr(self): _object = object _newclass = 1 except __builtin__.Exception: - class _object: + class _object(object) : pass pass _newclass = 0 diff --git a/python/show_zresp.py b/python/show_zresp.py index 8b323bce8..743ec78e2 100644 --- a/python/show_zresp.py +++ b/python/show_zresp.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from numpy import * from Pgplot import * from presto import * diff --git a/python/testcorr.py b/python/testcorr.py index ba3bf2947..54523ebe0 100644 --- a/python/testcorr.py +++ b/python/testcorr.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from numpy import * from Pgplot import * from presto import * diff --git a/python/wrappers/presto.py b/python/wrappers/presto.py index ed32347f0..ecd58482d 100644 --- a/python/wrappers/presto.py +++ b/python/wrappers/presto.py @@ -1,3 +1,4 @@ +from builtins import object # This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.12 # @@ -91,7 +92,7 @@ def _swig_repr(self): _object = object _newclass = 1 except __builtin__.Exception: - class _object: + class _object(object) : pass pass _newclass = 0 From 809236aa71a24dec39d0d54debf09660e8deac5b Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 12:25:24 +0200 Subject: [PATCH 003/146] Non-Unicode escapes (perhaps incompletely) fixed --- lib/python/psr_utils.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 026055009..6551352e6 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -515,9 +515,9 @@ def bins_to_accel(z, T, f=[1.0, 1000.0], device="/XWIN"): if (device): Pgplot.plotxy(Num.log10(accels), fs, logx=1, logy=1, labx="Frequency (Hz)", - laby="Acceleration (m/s\u2\d)", device=device) + laby=r"Acceleration (m/s\u2\d)", device=device) ppgplot.pgmtxt("T", -2.0, 0.75, 0.0, "T = %.0f sec"%T) - ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, "r\B\u\.\d = %.1f bins"%z) + ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, r"r\B\u\.\d = %.1f bins"%z) if (device != '/XWIN'): Pgplot.closeplot() else: @@ -861,12 +861,12 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, logx=1, logy=1, labx="Dispersion Measure", laby="Smearing (ms)", device=device) ppgplot.pgsch(0.8) - ppgplot.pgmtxt("t", 1.5, 1.0/12.0, 0.5, "\(2156)\dcenter\u = %gMHz" % freq) - ppgplot.pgmtxt("t", 1.5, 3.0/12.0, 0.5, "N\dchan\u = %d" % numchan) - ppgplot.pgmtxt("t", 1.5, 5.0/12.0, 0.5, "N\dsub\u = %d" % numsub) - ppgplot.pgmtxt("t", 1.5, 7.0/12.0, 0.5, "BW\dchan\u = %gMHz" % chanwidth) - ppgplot.pgmtxt("t", 1.5, 9.0/12.0, 0.5, "\gDDM = %g" % dmstep) - ppgplot.pgmtxt("t", 1.5, 11.0/12.0, 0.5, "\gDDM\dsub\u = %g" % subdmstep) + ppgplot.pgmtxt("t", 1.5, 1.0/12.0, 0.5, r"\(2156)\dcenter\u = %gMHz" % freq) + ppgplot.pgmtxt("t", 1.5, 3.0/12.0, 0.5, r"N\dchan\u = %d" % numchan) + ppgplot.pgmtxt("t", 1.5, 5.0/12.0, 0.5, r"N\dsub\u = %d" % numsub) + ppgplot.pgmtxt("t", 1.5, 7.0/12.0, 0.5, r"BW\dchan\u = %gMHz" % chanwidth) + ppgplot.pgmtxt("t", 1.5, 9.0/12.0, 0.5, r"\gDDM = %g" % dmstep) + ppgplot.pgmtxt("t", 1.5, 11.0/12.0, 0.5, r"\gDDM\dsub\u = %g" % subdmstep) ppgplot.pgsch(1.0) ppgplot.pgmtxt("b", -7.5, 0.95, 1.0, "Total") Pgplot.plotxy(Num.log10(dts), ldms, color="green", From 56157f508ba7b66f8b506f6f1df946000b41fe13 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:14:56 +0200 Subject: [PATCH 004/146] Change Py_InitModule ans similar to the Python3 equivalent --- python/ppgplot_src/_ppgplot.c | 42 +++++++++++++++++++++++++++++++++-- 1 file changed, 40 insertions(+), 2 deletions(-) diff --git a/python/ppgplot_src/_ppgplot.c b/python/ppgplot_src/_ppgplot.c index 4ddbf7f15..a2822bfa5 100644 --- a/python/ppgplot_src/_ppgplot.c +++ b/python/ppgplot_src/_ppgplot.c @@ -2308,23 +2308,61 @@ static PyMethodDef PpgMethods[] = { {NULL, NULL} /* Sentinel */ }; +#if PY_MAJOR_VERSION >= 3 + static struct PyModuleDef ppgplotdef = { + PyModuleDef_HEAD_INIT, + "_ppgplot", /* m_name */ + "PPGPLOT Module", /* m_doc */ + -1, /* m_size */ + PpgMethods, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ + }; +#endif + /************************************************************************/ -void -init_ppgplot (void) +static PyObject * +moduleinit(void) { PyObject *m, *d; +#if PY_MAJOR_VERSION <= 2 m = Py_InitModule("_ppgplot", PpgMethods); +#else + m = PyModule_Create(&ppgplotdef); +#endif d = PyModule_GetDict(m); import_array(); +#if PY_MAJOR_VERSION <= 2 PpgIOErr = PyString_FromString("_ppgplot.ioerror"); PpgTYPEErr = PyString_FromString("_ppgplot.typeerror"); PpgMEMErr = PyString_FromString("_ppgplot.memerror"); +#else + PpgIOErr = PyBytes_FromString("_ppgplot.ioerror"); + PpgTYPEErr = PyBytes_FromString("_ppgplot.typeerror"); + PpgMEMErr = PyBytes_FromString("_ppgplot.memerror"); +#endif PyDict_SetItemString(d, "ioerror", PpgIOErr); PyDict_SetItemString(d, "typeerror", PpgTYPEErr); PyDict_SetItemString(d, "memerror", PpgMEMErr); + return m; } +#if PY_MAJOR_VERSION < 3 + void + init_ppgplot(void) + { + moduleinit(); + } +#else + PyMODINIT_FUNC + PyInit__ppgplot(void) + { + return moduleinit(); + } +#endif /************************************************************************/ /* End of _ppgplot.c */ /************************************************************************/ From 7e4bbc28f0dbc9dab68a116446c0827afc8c049c Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:16:05 +0200 Subject: [PATCH 005/146] avoid StringType --- lib/python/parfile.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/lib/python/parfile.py b/lib/python/parfile.py index 807cc0efe..cd9d3c89b 100644 --- a/lib/python/parfile.py +++ b/lib/python/parfile.py @@ -1,6 +1,8 @@ from __future__ import print_function from builtins import object -from types import StringType, FloatType +import six +#from types import StringType, FloatType +import collections import math, re import psr_utils as pu try: @@ -189,11 +191,12 @@ def __init__(self, parfilenm): setattr(self, 'E', self.ECC) setattr(self, 'E_ERR', self.ECC_ERR) pf.close() + def __str__(self): out = "" for k, v in list(self.__dict__.items()): if k[:2]!="__": - if type(self.__dict__[k]) is StringType: + if type(self.__dict__[k]) in six.string_types: out += "%10s = '%s'\n" % (k, v) else: out += "%10s = %-20.15g\n" % (k, v) From 32bd936f6f9561ae44f4ce22c5d513edd9a2ed5b Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:49:24 +0200 Subject: [PATCH 006/146] Allow for module names created in Python3.4 and/or with conda --- python/Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/Makefile b/python/Makefile index 2db969c98..8d408d025 100644 --- a/python/Makefile +++ b/python/Makefile @@ -1,7 +1,7 @@ build: python setup.py install --home=${PRESTO} cd fftfit_src ; f2py -c fftfit.pyf *.f - cd fftfit_src ; cp fftfit.so ${PRESTO}/lib/python + cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python python fftfit_src/test_fftfit.py clean: From 561537d3e5cedbce00ecdb5f8353cf2f01e79798 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:50:11 +0200 Subject: [PATCH 007/146] Python-3 compatible module definition --- tests/python/test.c | 38 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 36 insertions(+), 2 deletions(-) diff --git a/tests/python/test.c b/tests/python/test.c index 604abce96..cf474ff66 100644 --- a/tests/python/test.c +++ b/tests/python/test.c @@ -62,15 +62,49 @@ static PyMethodDef my_range_method[] = { { NULL, NULL } }; -void initmy_range() +#if PY_MAJOR_VERSION >= 3 + static struct PyModuleDef moduledef = { + PyModuleDef_HEAD_INIT, + "my_range", /* m_name */ + module___doc__, /* m_doc */ + -1, /* m_size */ + my_range_method, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ + }; +#endif + +static PyObject * +moduleinit() { PyObject *m, *d; - m = Py_InitModule("my_range", my_range_method); +#if PY_MAJOR_VERSION >= 3 + m = PyModule_Create(&moduledef); +#else + m = Py_InitModule("my_range", my_range_method); +#endif d = PyModule_GetDict(m); import_array(); ErrorObject = PyString_FromString("my_range.error"); PyDict_SetItemString(d, "error", ErrorObject); if (PyErr_Occurred()) Py_FatalError("can't initialize module my_range"); + return m; } + +#if PY_MAJOR_VERSION < 3 + PyMODINIT_FUNC + initmy_range(void) + { + moduleinit(); + } +#else + PyMODINIT_FUNC + PyInit_my_range(void) + { + return moduleinit(); + } +#endif \ No newline at end of file From 3d276ab07e376b3ccdaffb6eecc026ffbb3ff6e5 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:56:40 +0200 Subject: [PATCH 008/146] Wrong indentation --- lib/python/polycos.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/polycos.py b/lib/python/polycos.py index 5224ab0d4..5126a2467 100644 --- a/lib/python/polycos.py +++ b/lib/python/polycos.py @@ -147,7 +147,7 @@ def __init__(self, psrname, filenm="polyco.dat"): infile = open(filenm, "r") tmppoly = polyco(infile) while(tmppoly.psr): - if (len(self.polycos)): + if (len(self.polycos)): if (tmppoly.dataspan != self.dataspan): sys.stderr.write("Data span is changing!\n") else: From 914e01bbbca4686b1601696277d096a962273c24 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:56:51 +0200 Subject: [PATCH 009/146] Fix strings --- lib/python/prepfold.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index efd976534..6d5d28c96 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -656,7 +656,7 @@ def plot_chi2_vs_DM(self, loDM, hiDM, N=100, interp=0, device='/xwin'): sumprof = profs.sum(0) chis[ii] = self.calc_redchi2(prof=sumprof, avg=avgprof) # Now plot it - Pgplot.plotxy(chis, DMs, labx="DM", laby="Reduced-\gx\u2\d", device=device) + Pgplot.plotxy(chis, DMs, labx="DM", laby=r"Reduced-\gx\u2\d", device=device) return (chis, DMs) def plot_chi2_vs_sub(self, device='/xwin'): @@ -684,7 +684,7 @@ def plot_chi2_vs_sub(self, device='/xwin'): for ii in range(self.nsub): chis[ii] = self.calc_redchi2(prof=profs[ii], avg=avgs[ii], var=vars[ii]) # Now plot it - Pgplot.plotxy(chis, labx="Subband Number", laby="Reduced-\gx\u2\d", + Pgplot.plotxy(chis, labx="Subband Number", laby=r"Reduced-\gx\u2\d", rangey=[0.0, max(chis)*1.1], device=device) return chis From 7734118ea2f05c063544f47e313d4933ac9e5e30 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 15:04:37 +0200 Subject: [PATCH 010/146] Avoid 'from types ...' --- lib/python/prepfold.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index 6d5d28c96..ab438e7bd 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -4,7 +4,9 @@ import numpy as Num import copy, random, struct, sys import psr_utils, infodata, polycos, Pgplot -from types import StringType, FloatType, IntType +# from types import StringType, FloatType, IntType +import six +import numbers from bestprof import bestprof class pfd(object): @@ -191,11 +193,11 @@ def __str__(self): out = "" for k, v in list(self.__dict__.items()): if k[:2]!="__": - if type(self.__dict__[k]) is StringType: + if isinstance(self.__dict__[k], six.string_types): out += "%10s = '%s'\n" % (k, v) - elif type(self.__dict__[k]) is IntType: + elif isinstance(self.__dict__[k], numbers.Integral): out += "%10s = %d\n" % (k, v) - elif type(self.__dict__[k]) is FloatType: + elif isinstance(self.__dict__[k], numbers.Real): out += "%10s = %-20.15g\n" % (k, v) return out From c8e0f1065dad1322ef3a43e238dc8c15e7da7410 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 15:06:04 +0200 Subject: [PATCH 011/146] Avoid 'from types ...' --- bin/get_TOAs.py | 1 - 1 file changed, 1 deletion(-) diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index ff5f0c6e5..76d3d5ff0 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -7,7 +7,6 @@ from prepfold import pfd from polycos import polycos from psr_constants import * -from types import StringType, FloatType, IntType scopes = {'GBT':'1', 'Arecibo':'3', From 24401343e30c7ccd056e806b55487e1b439a2b51 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 15:09:40 +0200 Subject: [PATCH 012/146] Eliminate unused 'from types ...' --- bin/sum_profiles.py | 1 - 1 file changed, 1 deletion(-) diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index 569b4fed3..2b2f6de64 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -8,7 +8,6 @@ from prepfold import pfd from polycos import polycos from psr_constants import * -from types import StringType, FloatType, IntType scopes = {'GBT':'1', 'Arecibo':'3', 'Parkes':'7', 'GMRT': 'r'} From d1de16e425c0b360bff38371584b82c413fea237 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 16:15:59 +0200 Subject: [PATCH 013/146] Fix string/byte issues --- lib/python/prepfold.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index ab438e7bd..7c5701207 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -30,15 +30,17 @@ def __init__(self, filename): struct.unpack(swapchar+"i"*5, data) (self.proflen, self.numchan, self.pstep, self.pdstep, self.dmstep, \ self.ndmfact, self.npfact) = struct.unpack(swapchar+"i"*7, infile.read(7*4)) + self.filenm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) + print(self.proflen, self.ndmfact, self.npfact, self.nsub, self.filenm) self.candnm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) self.telescope = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) self.pgdev = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) test = infile.read(16) - if not test[:8]=="Unknown" and ':' in test: - self.rastr = test[:test.find('\0')] + if not test[:8]==b"Unknown" and b':' in test: + self.rastr = test[:test.find(b'\0')] test = infile.read(16) - self.decstr = test[:test.find('\0')] + self.decstr = test[:test.find(b'\0')] else: self.rastr = "Unknown" self.decstr = "Unknown" @@ -116,7 +118,7 @@ def __init__(self, filename): self.profs = Num.reshape(self.profs, (self.npart, self.nsub, self.proflen)) if (self.numchan==1): try: - idata = infodata.infodata(self.filenm[:self.filenm.rfind('.')]+".inf") + idata = infodata.infodata(self.filenm[:self.filenm.rfind(b'.')]+b".inf") try: if idata.waveband=="Radio": self.bestdm = idata.DM @@ -173,7 +175,7 @@ def __init__(self, filename): infile.close() self.barysubfreqs = None if self.avgvoverc==0: - if self.candnm.startswith("PSR_"): + if self.candnm.startswith(b"PSR_"): # If this doesn't work, we should try to use the barycentering calcs # in the presto module. try: From ce85a74f42646bbef2e9d5b344f8f17bce1efef6 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 16:16:14 +0200 Subject: [PATCH 014/146] Fix file() usage --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 6551352e6..3de44bf5b 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -944,7 +944,7 @@ def read_profile(filenm, normalize=0): normalized if 'normalize' is true. """ prof = [] - for line in file(filenm): + for line in open(filenm): if line.startswith("#"): continue else: prof.append(float(line.split()[-1])) prof = Num.asarray(prof) From aac112fca4de8a3978c7f0272f32b16da69dc02a Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 16:18:58 +0200 Subject: [PATCH 015/146] Fix file() usage --- lib/python/cosine_rand.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/python/cosine_rand.py b/lib/python/cosine_rand.py index 40941252a..df2bc0337 100644 --- a/lib/python/cosine_rand.py +++ b/lib/python/cosine_rand.py @@ -25,11 +25,11 @@ def dfunc(x): xs[ii] = newton_raphson(func, dfunc, 0.0, 1.0) xs[0] = 0.0 xs[n] = 1.0 - pickle.dump(xs, file("cosine_rand.pickle", "w"), 1) + pickle.dump(xs, open("cosine_rand.pickle", "w"), 1) else: pfile = os.path.join(os.environ['PRESTO'], "lib", "python", "cosine_rand.pickle") - xs = pickle.load(file(pfile)) + xs = pickle.load(open(pfile)) def cosine_rand(num): """cosine_rand(num): Return num phases that are randomly distributed From 26bfd75da85b54a44355e698f56322f53861433e Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 15:38:36 -0400 Subject: [PATCH 016/146] Updated prints --- python/ffdot_example.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ffdot_example.py b/python/ffdot_example.py index 7c7a98202..2ffa76b61 100644 --- a/python/ffdot_example.py +++ b/python/ffdot_example.py @@ -31,15 +31,15 @@ a = time.clock() [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+norm(1)[0]/5.0, z+norm(1)[0], norm=1.0) -print "Time for rz:", time.clock()-a -print r, rmax, z, zmax, theo_max_pow, maxpow +print("Time for rz:", time.clock()-a) +print(r, rmax, z, zmax, theo_max_pow, maxpow) a = time.clock() [maxpow, rmax, zmax, wmax, rd] = presto.maximize_rzw(ft, r+norm(1)[0]/5.0, z+norm(1)[0], w+norm(1)[0]*5.0, norm=1.0) -print "Time for rzw:", time.clock()-a -print r, rmax, z, zmax, w, wmax, theo_max_pow, maxpow +print("Time for rzw:", time.clock()-a) +print(r, rmax, z, zmax, w, wmax, theo_max_pow, maxpow) #print "Raw power should be ~%.2e" % theo_max_pow pffdot = pffdot / theo_max_pow pffdot.shape = (np, np) From 872f6070367fc8367d64afc679509172e51d9590 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 15:58:27 -0400 Subject: [PATCH 017/146] Check for string in Py2/3 compatible way --- lib/python/Pgplot.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/lib/python/Pgplot.py b/lib/python/Pgplot.py index 027bd7be9..cb309c859 100644 --- a/lib/python/Pgplot.py +++ b/lib/python/Pgplot.py @@ -2,9 +2,7 @@ from builtins import str from builtins import range from builtins import object -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py - -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py +import sys # Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' # and the Python 'PPGPLOT' package @@ -24,6 +22,10 @@ import numpy as Num import types, math, ppgplot +# Check if string in Py2 and Py3 compatible way +def isstr(var): + return isinstance(var, str if sys.version_info[0] >= 3 else basestring) + # True if we have an /XWIN or /XSERVE device open yet ppgplot_dev_open_ = 0 @@ -340,7 +342,7 @@ def plotxy(y, x=None, title=None, rangex=None, rangey=None, \ logx, logy, logx2, logy2, font, fontsize, \ id, aspect, ticks, panels, device=device) # Choose the line color - if type(color) == bytes: + if isstr(color): ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -539,7 +541,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Choose the line width ppgplot.pgslw(width) # Choose the line color for the contourlines - if type(color) == bytes: + if isstr(color): ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -549,7 +551,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Label the contours if requested if labels is not None: # Choose the line color for the contourlines - if type(labels) == bytes: + if isstr(labels): ppgplot.pgsci(ppgplot_colors_[labels]) else: ppgplot.pgsci(labels) From a72ee665666b09aa8db882d477dc64ec88c48098 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:27:32 -0400 Subject: [PATCH 018/146] Commit to make pygaussfit.py work in Py2 and Py3 --- bin/pygaussfit.py | 6 +++--- lib/python/mpfit.py | 8 ++++---- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 37b14a8d1..25d1af0e5 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -19,7 +19,7 @@ def __init__(self, ax, profile, errs, profnm, minspanx=None, self.phases = Num.arange(self.proflen, dtype='d')/self.proflen self.errs = errs self.visible = True - self.DCguess = sorted(profile)[len(profile)/10+1] + self.DCguess = sorted(profile)[len(profile) // 10 + 1] self.init_params = [self.DCguess] self.numgaussians = 0 self.canvas = ax.figure.canvas @@ -192,7 +192,7 @@ def gen_gaussians(params, N): FWHM (0-1), and amplitude (>0.0). N is the number of points in the model. """ - numgaussians = (len(params)-1)/3 + numgaussians = (len(params)-1) // 3 model = Num.zeros(N, dtype='d') + params[0] for ii in range(numgaussians): phase, FWHM, amp = params[1+ii*3:4+ii*3] @@ -204,7 +204,7 @@ def fit_function(params, fjac=None, data=None, errs=None): def fit_gaussians(data, initial_params, errs, profnm): numparams = len(initial_params) - numgaussians = (len(initial_params)-1)/3 + numgaussians = (len(initial_params)-1) // 3 # Generate the parameter structure parinfo = [] params0 = [] diff --git a/lib/python/mpfit.py b/lib/python/mpfit.py index 9719f2dcc..c32870a34 100644 --- a/lib/python/mpfit.py +++ b/lib/python/mpfit.py @@ -1356,11 +1356,11 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, nprint = len(x) print("Iter ", ('%6i' % iter)," CHI-SQUARE = ",('%.10g' % fnorm)," DOF = ", ('%i' % dof)) for i in range(nprint): - if (parinfo is not None) and (parinfo[i].has_key('parname')): + if (parinfo is not None) and ('parname' in parinfo[i]): p = ' ' + parinfo[i]['parname'] + ' = ' else: p = ' P' + str(i) + ' = ' - if (parinfo is not None) and (parinfo[i].has_key('mpprint')): + if (parinfo is not None) and ('mpprint' in parinfo[i]): iprint = parinfo[i]['mpprint'] else: iprint = 1 @@ -1395,7 +1395,7 @@ def parinfo(self, parinfo=None, key='a', default=None, n=0): values = [] for i in range(n): - if ((parinfo is not None) and (parinfo[i].has_key(key))): + if ((parinfo is not None) and (key in parinfo[i])): values.append(parinfo[i][key]) else: values.append(default) @@ -2184,7 +2184,7 @@ def tie(self, p, ptied=None): def calc_covar(self, rr, ipvt=None, tol=1.e-14): if (self.debug): print('Entering calc_covar...') - if numpy.rank(rr) != 2: + if rr.ndim != 2: print('ERROR: r must be a two-dimensional matrix') return(-1) s = numpy.shape(rr) From e7393ab47efefcfbb03347bbeda12b2241714180 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:39:46 -0400 Subject: [PATCH 019/146] presto python tests work in Py2 and Py3 --- tests/test_presto_python.py | 63 +++++++++++++++++++------------------ 1 file changed, 32 insertions(+), 31 deletions(-) diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index 6e1e34ff2..a9fd1f0c1 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -1,41 +1,42 @@ +from __future__ import print_function import numpy as np import presto import os import matplotlib.pyplot as plt -print "Testing FFT stuff...", +print("Testing FFT stuff...", end=' ') N = 20 x = np.random.standard_normal(N) nx = presto.rfft(presto.rfft(x, -1), 1) assert(np.allclose(x, nx, atol=1e-6)) -print "success" +print("success") -print "Testing FFTW call...", +print("Testing FFTW call...", end=' ') cx = np.random.standard_normal(N).astype(np.complex64) ncx = np.array(cx, copy=1) presto.fftwcall(cx, -1) presto.fftwcall(cx, 1) assert(np.allclose(cx/N, ncx, atol=1e-6)) -print "success" +print("success") -print "Testing tablesixstepfft call...", +print("Testing tablesixstepfft call...", end=' ') cx = np.random.standard_normal(N).astype(np.complex64) ncx = np.array(cx, copy=1) presto.tablesixstepfft(cx, -1) presto.tablesixstepfft(cx, 1) assert(np.allclose(cx/N, ncx, atol=1e-6)) -print "success" +print("success") -print "Testing reading infiles...", +print("Testing reading infiles...", end=' ') x = presto.read_inffile("1937_DM71.02_zerodm.inf", verbose=False) assert(x.telescope=="GBT") assert(x.mjd_i==55267) assert(x.dt==8.192e-05) assert(x.numonoff==1) assert(x.analyzer=="sransom") -print "success" +print("success") -print "Testing writing infiles...", +print("Testing writing infiles...", end=' ') x.analyzer="test" x.name="xxx" x.dt=0.125 @@ -46,44 +47,44 @@ assert(y.numonoff==1) assert(y.dt==0.125) os.remove("xxx.inf") -print "success" +print("success") -print "Testing allocation and freeing of memory...", +print("Testing allocation and freeing of memory...", end=' ') for ii in range(1024): a = presto.gen_fvect(1024 * 32768) del a for ii in range(1024): a = presto.gen_cvect(1024 * 16384) del a -print "success" +print("success") -print "Testing psrparams and orbitparams stuff...", +print("Testing psrparams and orbitparams stuff...", end=' ') psr = presto.psrepoch("J0737-3039A", 56000.0, verbose=False) assert(round(psr.dm-48.92, 7)==0) # This needs to change when we start using the actual psrcat.db file -print "\nTODO: fix the precision of the values in the catalog!!" +print("\nTODO: fix the precision of the values in the catalog!!") assert(round(psr.orb.p-8838.72, 7)==0) #assert(round(psr.orb.p-8834.534998272, 7)==0) -print "success" +print("success") -print "Testing spectralpower and spectralphase...", +print("Testing spectralpower and spectralphase...", end=' ') a = np.arange(5.0) + complex(0.0, 1.0) assert(np.allclose(presto.spectralpower(a), np.arange(5.0)**2.0 + 1)) assert(np.allclose(presto.spectralphase(a), np.array([90., 45., 26.56505203, 18.43494797, 14.03624344]))) -print "success" +print("success") -print "Testing vector shifting / rotation...", +print("Testing vector shifting / rotation...", end=' ') a = np.arange(4, dtype=np.float32) presto.frotate(a, 1) assert(np.allclose(a, np.array([1, 2, 3, 0]))) a = np.arange(4, dtype=np.float64) presto.drotate(a, 1) assert(np.allclose(a, np.array([1, 2, 3, 0]))) -print "success" +print("success") -print "Testing orbit integration stuff...", +print("Testing orbit integration stuff...", end=' ') orb = presto.orbitparams() orb.p = 10000.0 orb.e = 0.1 @@ -110,9 +111,9 @@ maxv *= presto.SOL/1000.0 assert(round(minv-Vs_check.min(), 7)==0) assert(round(maxv-Vs_check.max(), 7)==0) -print "success" +print("success") -print "Testing Fourier response generation...", +print("Testing Fourier response generation...", end=' ') numbetween = 16 z = 5.0 w = 40.0 @@ -133,13 +134,13 @@ plt.plot(rs, pz, 'g-') plt.plot(rs, pw, 'r-') plt.show() -assert(rs[nn/2]==0.0) -assert(pr[nn/2]==1.0) -assert(round(pz[nn/2]-0.227675, 6)==0) -assert(round(pw[nn/2]-0.019462, 6)==0) -print "success" +assert(rs[nn//2]==0.0) +assert(pr[nn//2]==1.0) +assert(round(pz[nn//2]-0.227675, 6)==0) +assert(round(pw[nn//2]-0.019462, 6)==0) +print("success") -print "Testing angle functions...", +print("Testing angle functions...", end=' ') dd1 = 15.25 dd2 = presto.dms2rad(*presto.deg2dms(dd1))*presto.RADTODEG assert(round(dd1-dd2, 12)==0) @@ -155,11 +156,11 @@ ang = presto.sphere_ang_diff(10.0*presto.DEGTORAD, 10.0*presto.DEGTORAD, 50.0*presto.DEGTORAD, -10.0*presto.DEGTORAD) assert(round(160334.960*presto.ARCSEC2RAD-ang, 7)==0) -print "success" +print("success") -print "Testing get_baryv (barycenter)...", +print("Testing get_baryv (barycenter)...", end=' ') vavg1 = presto.get_baryv("18:24:32.9520", "-24:52:12.0000", 56421.44222222222222, 214.5386496, obs="GB") vavg2 = -7.2069293455783169e-05 assert(round(vavg1-vavg2, 10)==0) -print "success" +print("success") From 10ffcf935c09751d213a9b4c77054d2d25cdb3fb Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:45:09 -0400 Subject: [PATCH 020/146] integer division fix --- python/ffdot_example.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ffdot_example.py b/python/ffdot_example.py index 2ffa76b61..aa6380de5 100644 --- a/python/ffdot_example.py +++ b/python/ffdot_example.py @@ -43,12 +43,12 @@ #print "Raw power should be ~%.2e" % theo_max_pow pffdot = pffdot / theo_max_pow pffdot.shape = (np, np) -rs = num.arange(np) * dr - np/2*dr -zs = num.arange(np) * dz - np/2*dz +rs = num.arange(np) * dr - np//2*dr +zs = num.arange(np) * dz - np//2*dz rgx = num.asarray([rs[0], rs[np-1]]) rgy = num.asarray([zs[0], zs[np-1]]) -freqcut = pffdot[np/2, :] -fdotcut = pffdot[:, np/2] +freqcut = pffdot[np//2, :] +fdotcut = pffdot[:, np//2] image='antirainbow' device='ffdot_combined.eps/VCPS' From 684a55c50ed56f721f18f2e1e429b4d26060b325 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:50:48 -0400 Subject: [PATCH 021/146] Fixed jerk_example for Py3 --- python/jerk_example.py | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/python/jerk_example.py b/python/jerk_example.py index 371b2708c..9a1c23837 100644 --- a/python/jerk_example.py +++ b/python/jerk_example.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as num import presto import ppgplot @@ -28,20 +29,20 @@ vol = presto.fdotdot_vol(ft, rint-np/2*dr, dr, np, 0.0-np/2*dz, dz, np, 0.0-np/2*dw, dw, np) -print "First jerk vol took %.3f s" % (time.clock()-a) +print("First jerk vol took %.3f s" % (time.clock()-a)) a = time.clock() vol = presto.fdotdot_vol(ft, rint-np/2*dr, dr, np, 0.0-np/2*dz, dz, np, 0.0-np/2*dw, dw, np) -print "Second jerk vol took %.3f s" % (time.clock()-a) +print("Second jerk vol took %.3f s" % (time.clock()-a)) pvol = presto.spectralpower(vol.flat) theo_max_pow = N**2.0/4.0 frp = max(pvol) / theo_max_pow # Fraction of recovered power -print "Fraction of recovered signal power = %f" % frp +print("Fraction of recovered signal power = %f" % frp) [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+num.random.standard_normal(1)[0]/5.0, z+num.random.standard_normal(1)[0], norm=1.0) -print r, rmax, z, zmax, theo_max_pow, maxpow -# print "Raw power should be ~%.2e" % theo_max_pow +print(r, rmax, z, zmax, theo_max_pow, maxpow) +# print("Raw power should be ~%.2e" % theo_max_pow) pvol = pvol / theo_max_pow pvol.shape = (np, np, np) rs = num.arange(np) * dr - np/2*dr @@ -73,10 +74,10 @@ ppgplot.pgopen(device%ii) ppgplot.pgpap(0.0, 1.0) ppgplot.pgpage() - freqcut = pvol[ii, np/2, :] - fdotcut = pvol[ii, :, np/2] + freqcut = pvol[ii, np//2, :] + fdotcut = pvol[ii, :, np//2] frp = pvol[ii].max() # Fraction of recovered power - print "w = %.3f frac pow recovered = %.3f" % (ws[ii], frp) + print("w = %.3f frac pow recovered = %.3f" % (ws[ii], frp)) # Give z and w values and power change ppgplot.pgsvp(margin+imfract, 1.0-margin/2, margin+imfract, 1.0-margin/2) ppgplot.pgswin(0.0, 1.0, 0.0, 1.0) @@ -132,10 +133,10 @@ if device=="/XWIN": ppgplot.pgclos() else: - print """If you want to make a movie with the resulting .eps files, here are + print("""If you want to make a movie with the resulting .eps files, here are the appropriate commands: > python jerk_example.py > pstoimg -density 200 -antialias -crop a jerk_*eps > ffmpeg -r 16 -f image2 -s 1000x1000 -i jerk_%03d.png -vcodec libx264 -crf 25 -pix_fmt yuv420p jerk_search.mp4 -""" +""") From cc009e39e18b8abbd494991562ae275df5d97300 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:54:03 -0400 Subject: [PATCH 022/146] integer division fix --- bin/downsample_filterbank.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index 33adba3d1..d5b272816 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -45,12 +45,12 @@ # Remove the header length from infilelen and then # determine how many spectra are in the file infilelen -= infile.tell() - numspec = infilelen / nchans + numspec = infilelen // nchans if infilelen % nchans: print("Whoops! File length calculation is not right...") # Now loop over the spectra - for ii in range(numspec / DS_fact): + for ii in range(numspec // DS_fact): try: x = num.fromfile(infile, dtype=num.ubyte, count=DS_fact*nchans) x.shape = (DS_fact, nchans) From 807327c8035571b2b2edc82272a5f461653382b0 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Thu, 28 Jun 2018 11:09:14 -0400 Subject: [PATCH 023/146] Updated Makefile and presto python routines that get copied --- python/Makefile | 6 ++++++ python/presto_src/__init__.py | 4 ++-- python/presto_src/prestoswig.py | 2 +- 3 files changed, 9 insertions(+), 3 deletions(-) diff --git a/python/Makefile b/python/Makefile index 8d408d025..5309c0eb7 100644 --- a/python/Makefile +++ b/python/Makefile @@ -4,6 +4,12 @@ build: cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python python fftfit_src/test_fftfit.py +build3: + python3 setup.py install --home=${PRESTO} + cd fftfit_src ; f2py3 -c fftfit.pyf *.f + cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python + python3 fftfit_src/test_fftfit.py + clean: rm -rf build rm -f *~ *.o *.so *.pyc diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index c329f81d6..5d11cd432 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -60,7 +60,7 @@ def write_inffile(infodata, verbose=True): Write an '.inf' file based on its input structure """ if verbose: - print "Writing .inf file to '%s.inf'"%infodata.name + print("Writing .inf file to '%s.inf'"%infodata.name) writeinf(infodata) def psrepoch(psrname, epoch, verbose=True): @@ -76,7 +76,7 @@ def psrepoch(psrname, epoch, verbose=True): if os.path.isfile(psrname): get_psr_from_parfile("1903+0327.par", epoch, pp) if verbose: - print 'Retrieved data at MJD %f from "%s"' % (epoch, psrname) + print('Retrieved data at MJD %f from "%s"' % (epoch, psrname)) else: num = get_psr_at_epoch(psrname, epoch, pp) if verbose: diff --git a/python/presto_src/prestoswig.py b/python/presto_src/prestoswig.py index ecd58482d..5b844b031 100644 --- a/python/presto_src/prestoswig.py +++ b/python/presto_src/prestoswig.py @@ -92,7 +92,7 @@ def _swig_repr(self): _object = object _newclass = 1 except __builtin__.Exception: - class _object(object) : pass + class _object(object) : pass _newclass = 0 From 09d33e0b0efa4029e5cb8906f5f92e11e8d38c93 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 24 Jul 2018 16:50:19 -0700 Subject: [PATCH 024/146] single_pulse_search seems to work in both Python 2 and 3 --- bin/single_pulse_search.py | 81 ++++++++++++++++++++++---------------- 1 file changed, 47 insertions(+), 34 deletions(-) diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index a708e9361..cc1fd0d6e 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,10 +1,6 @@ #!/usr/bin/env python from __future__ import print_function -from past.builtins import cmp -from builtins import str -from builtins import zip -from builtins import range -from builtins import object +from builtins import str, zip, range, object import bisect, os, sys, getopt, infodata, glob import scipy, scipy.signal, scipy.stats, ppgplot import numpy as Num @@ -13,6 +9,10 @@ from optparse import OptionParser from Pgplot import * +# This is for Python 2/3 comptibility +def mycmp(a, b): + return ((a > b) - (a < b)) + class candidate(object): def __init__(self, DM, sigma, time, bin, downfact): self.DM = DM @@ -23,13 +23,25 @@ def __init__(self, DM, sigma, time, bin, downfact): def __str__(self): return "%7.2f %7.2f %13.6f %10d %3d\n"%\ (self.DM, self.sigma, self.time, self.bin, self.downfact) + def __eq__(self, other): + return (self.bin == other.bin) + def __ne__(self, other): + return (self.bin != other.bin) + def __lt__(self, other): + return (self.bin < other.bin) + def __le__(self, other): + return (self.bin <= other.bin) + def __gt__(self, other): + return (self.bin > other.bin) + def __ge__(self, other): + return (self.bin >= other.bin) def __cmp__(self, other): # Sort by time (i.e. bin) by default) - return cmp(self.bin, other.bin) + return mycmp(self.bin, other.bin) def cmp_sigma(self, other): #Comparison function to sort candidates by significance - retval = -cmp(self.sigma, other.sigma) + retval = -mycmp(self.sigma, other.sigma) return retval def fft_convolve(fftd_data, fftd_kern, lo, hi): @@ -55,12 +67,12 @@ def make_fftd_kerns(downfacts, fftlen): # These offsets produce kernels that give results # equal to scipy.signal.convolve if downfact % 2: # Odd number - kern[:downfact/2+1] += 1.0 - kern[-(downfact/2):] += 1.0 + kern[:downfact//2+1] += 1.0 + kern[-(downfact//2):] += 1.0 else: # Even number - kern[:downfact/2+1] += 1.0 + kern[:downfact//2+1] += 1.0 if (downfact > 2): - kern[-(downfact/2-1):] += 1.0 + kern[-(downfact//2-1):] += 1.0 # The following normalization preserves the # RMS=1 characteristic of the data fftd_kerns.append(rfft(kern / Num.sqrt(downfact), -1)) @@ -77,7 +89,7 @@ def prune_related1(hibins, hivals, downfact): xbin, xsigma = hibins[ii], hivals[ii] for jj in range(ii+1, len(hibins)): ybin, ysigma = hibins[jj], hivals[jj] - if (abs(ybin-xbin) > downfact/2): + if (abs(ybin-xbin) > downfact//2): break else: if jj in toremove: @@ -106,12 +118,12 @@ def prune_related2(dm_candlist, downfacts): for jj in range(ii+1, len(dm_candlist)): yy = dm_candlist[jj] ybin, ysigma = yy.bin, yy.sigma - if (abs(ybin-xbin) > max(downfacts)/2): + if (abs(ybin-xbin) > max(downfacts)//2): break else: if jj in toremove: continue - prox = max([xx.downfact/2, yy.downfact/2, 1]) + prox = max([xx.downfact//2, yy.downfact//2, 1]) if (abs(ybin-xbin) <= prox): if (xsigma > ysigma): toremove.add(jj) @@ -300,8 +312,8 @@ def main(): if (detrendlen > chunklen): chunklen = detrendlen fftlen = int(next2_to_n(chunklen)) - blocks_per_chunk = chunklen / detrendlen - overlap = (fftlen - chunklen)/2 + blocks_per_chunk = chunklen // detrendlen + overlap = (fftlen - chunklen) // 2 worklen = chunklen + 2*overlap # currently it is fftlen... max_downfact = 30 @@ -362,13 +374,13 @@ def main(): outfile = open(filenmbase+'.singlepulse', mode='w') # Compute the file length in detrendlens - roundN = N/detrendlen * detrendlen - numchunks = roundN / chunklen + roundN = N // detrendlen * detrendlen + numchunks = roundN // chunklen # Read in the file print('Reading "%s"...'%filenm) timeseries = Num.fromfile(filenm, dtype=Num.float32, count=roundN) # Split the timeseries into chunks for detrending - numblocks = roundN/detrendlen + numblocks = roundN // detrendlen timeseries.shape = (numblocks, detrendlen) stds = Num.zeros(numblocks, dtype=Num.float64) # de-trend the data one chunk at a time @@ -377,7 +389,7 @@ def main(): if opts.fast: # use median removal instead of detrending (2x speedup) tmpchunk = chunk.copy() tmpchunk.sort() - med = tmpchunk[detrendlen/2] + med = tmpchunk[detrendlen//2] chunk -= med tmpchunk -= med else: @@ -391,7 +403,7 @@ def main(): # of random gaussian deviates, the measured stdev is ~0.871 # of the true stdev. Thus the 1.0/0.871=1.148 correction below. # The following is roughly .std() since we already removed the median - stds[ii] = Num.sqrt((tmpchunk[detrendlen/40:-detrendlen/40]**2.0).sum() / + stds[ii] = Num.sqrt((tmpchunk[detrendlen//40:-detrendlen//40]**2.0).sum() / (0.95*detrendlen)) stds *= 1.148 # sort the standard deviations and separate those with @@ -400,12 +412,12 @@ def main(): sort_stds.sort() # identify the differences with the larges values (this # will split off the chunks with very low and very high stds - locut = (sort_stds[1:numblocks/2+1] - - sort_stds[:numblocks/2]).argmax() + 1 - hicut = (sort_stds[numblocks/2+1:] - - sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 + locut = (sort_stds[1:numblocks//2+1] - + sort_stds[:numblocks//2]).argmax() + 1 + hicut = (sort_stds[numblocks//2+1:] - + sort_stds[numblocks//2:-1]).argmax() + numblocks//2 - 2 std_stds = scipy.std(sort_stds[locut:hicut]) - median_stds = sort_stds[(locut+hicut)/2] + median_stds = sort_stds[(locut+hicut)//2] print(" pseudo-median block standard deviation = %.2f" % (median_stds)) if (opts.badblocks): lo_std = median_stds - 4.0 * std_stds @@ -468,7 +480,7 @@ def main(): hibins = Num.flatnonzero(goodchunk>opts.threshold) hivals = goodchunk[hibins] hibins += chunknum * chunklen - hiblocks = hibins/detrendlen + hiblocks = hibins // detrendlen # Add the candidates (which are sorted by bin) for bin, val, block in zip(hibins, hivals, hiblocks): if block not in bad_blocks: @@ -494,7 +506,7 @@ def main(): hibins = Num.flatnonzero(goodchunk>opts.threshold) hivals = goodchunk[hibins] hibins += chunknum * chunklen - hiblocks = hibins/detrendlen + hiblocks = hibins // detrendlen hibins = hibins.tolist() hivals = hivals.tolist() # Now walk through the new candidates and remove those @@ -590,7 +602,7 @@ def main(): ppgplot.pgswin(min(DMs)-0.5, max(DMs)+0.5, 0.0, 1.1*max(num_v_DM+[1])) ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, r"DM (pc cm\u-3\d)") ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Number of Pulses") ppgplot.pgsch(1.0) ppgplot.pgbin(DMs, num_v_DM, 1) @@ -600,7 +612,7 @@ def main(): ppgplot.pgswin(min(DMs)-0.5, max(DMs)+0.5, opts.threshold, maxsnr) ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, r"DM (pc cm\u-3\d)") ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-Noise") ppgplot.pgsch(1.0) cand_ts = Num.zeros(len(candlist), dtype=Num.float32) @@ -617,7 +629,7 @@ def main(): ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, r"DM (pc cm\u-3\d)") # Circles are symbols 20-26 in increasing order snr_range = 12.0 cand_symbols = (cand_SNRs-opts.threshold)/snr_range * 6.0 + 20.5 @@ -653,10 +665,10 @@ def main(): instrument = info.instrument ppgplot.pgmtxt('T', -3.7, 0.02, 0.0, 'Instrument: %s'%instrument) if (info.bary): - ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, 'MJD\dbary\u: %.12f'%info.epoch) + ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, r'MJD\dbary\u: %.12f'%info.epoch) else: - ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, 'MJD\dtopo\u: %.12f'%info.epoch) - ppgplot.pgmtxt('T', -3.7, 0.73, 0.0, 'Freq\dctr\u: %.1f MHz'%\ + ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, r'MJD\dtopo\u: %.12f'%info.epoch) + ppgplot.pgmtxt('T', -3.7, 0.73, 0.0, r'Freq\dctr\u: %.1f MHz'%\ ((info.numchan/2-0.5)*info.chan_width+info.lofreq)) ppgplot.pgiden() ppgplot.pgend() @@ -674,4 +686,5 @@ def main(): s = stats.load("hotshot_edi_stats") s.sort_stats("time").print_stats() else: + # print(sys.version) main() From 28fe305670ad261c58cf08f0c25cfc9e18b1ed02 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 24 Jul 2018 17:07:49 -0700 Subject: [PATCH 025/146] First try at fixing comparisons for Python3 --- lib/python/sifting.py | 188 +++++++++++++++++------------------------- 1 file changed, 77 insertions(+), 111 deletions(-) diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 0cc25cfd5..9d5755b2c 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,19 +1,10 @@ #!/usr/bin/env python from __future__ import print_function -from past.builtins import cmp -from builtins import zip -from builtins import str -from builtins import range -from builtins import object -import sys -import re -import os -import copy - -import numpy as Num +from builtins import zip, str, range, object +import sys, re, os, copy +import numpy as np import matplotlib import matplotlib.pyplot as plt - from presto import candidate_sigma # Note: the following are global variables that can @@ -121,7 +112,7 @@ def sigma_to_size(sigmas): sizes: Numpy array of marker sizes. """ # return 8+sigmas**1.7 - return Num.clip(20**(sigmas/6), 5, 400) + return np.clip(20**(sigmas/6), 5, 400) def print_sift_globals(): @@ -146,30 +137,6 @@ def parse_power(pow): return power -def cmp_sigma(self, other): - retval = -cmp(self.sigma, other.sigma) - if retval==0: - return -cmp(self.ipow_det, other.ipow_det) - else: - return retval - - -def cmp_snr(self, other): - retval = -cmp(self.snr, other.snr) - if retval==0: - return -cmp(self.ipow_det, other.ipow_det) - else: - return retval - - -def cmp_dms(self, other): - return cmp(float(self[0]), float(other[0])) - - -def cmp_freq(self, other): - return cmp(self.r, other.r) - - class Candidate(object): def __init__(self, candnum, sigma, numharm, ipow, cpow, bin, z, DMstr, filename, T): @@ -205,10 +172,10 @@ def __str__(self): def harms_to_snr(self): # Remove the average power level - harmamps = Num.asarray(self.harm_pows) - 1.0 + harmamps = np.asarray(self.harm_pows) - 1.0 # Set the S/N to 0.0 for harmonics with "negative" amplitudes harmamps[harmamps < 0.0] = 0.0 - self.snr = Num.sum(Num.sqrt(harmamps)) + self.snr = np.sum(np.sqrt(harmamps)) class Candlist(object): @@ -260,25 +227,25 @@ def plot_summary(self, usefreqs=True): # Get all candidates and sort by sigma allcands = self.get_all_cands() - sigmas = Num.array([c.sigma for c in allcands]) + sigmas = np.array([c.sigma for c in allcands]) isort = sigmas.argsort() sigmas = sigmas[isort] if usefreqs: - xdata = Num.array([c.f for c in allcands])[isort] + xdata = np.array([c.f for c in allcands])[isort] xlabel = "Freq (Hz)" xscale = "log" else: - xdata = Num.array([c.p for c in allcands])[isort] + xdata = np.array([c.p for c in allcands])[isort] xlabel = "Period (s)" xscale = "loglin" - dms = Num.array([c.DM for c in allcands])[isort] - numharms = Num.array([c.numharm for c in allcands])[isort] + dms = np.array([c.DM for c in allcands])[isort] + numharms = np.array([c.numharm for c in allcands])[isort] # Plot the all candidates scatt = plt.scatter(xdata, dms, s=sigma_to_size(sigmas), \ - c=Num.log2(numharms), \ + c=np.log2(numharms), \ marker='o', alpha=0.7, zorder=-1) plt.set_cmap("Spectral") @@ -292,9 +259,9 @@ def plot_summary(self, usefreqs=True): plt.axes(ax) # Set scatter plot's axes as current plt.xscale(xscale) plt.xlabel(xlabel) - mindm = Num.min(dms) - maxdm = Num.max(dms) - dmrange = Num.ptp(dms) + mindm = np.min(dms) + maxdm = np.max(dms) + dmrange = np.ptp(dms) # Use log-scale y-axis if max DM > 2000 yscale = "log" if maxdm > 2000.0 else "linear" @@ -307,10 +274,10 @@ def plot_summary(self, usefreqs=True): plt.ylabel(r"DM (pc cm$^{-3}$)") if not usefreqs: - plt.gca().xaxis.set_ticks(Num.concatenate((\ - Num.logspace(-4,0,4, endpoint=False), \ - Num.linspace(1,15,8)))) - plt.gca().xaxis.set_ticks(Num.logspace(-4,0,40), minor=True) + plt.gca().xaxis.set_ticks(np.concatenate((\ + np.logspace(-4,0,4, endpoint=False), \ + np.linspace(1,15,8)))) + plt.gca().xaxis.set_ticks(np.logspace(-4,0,40), minor=True) plt.gca().xaxis.set_ticklabels([r"10$^{-4}$", r"10$^{-3}$", \ r"10$^{-2}$", r"10$^{-1}$", "1", "3", "5", "7", \ "9", "11", "13", "15"]) @@ -359,18 +326,18 @@ def plot_rejects(self, usefreqs=True): for cands, colour, marker, zorder, size, fixedsize, lw in \ zip(candlists, colours, markers, zorders, sizes, fixedsizes, lws): if len(cands): - sigmas = Num.array([c.sigma for c in cands]) + sigmas = np.array([c.sigma for c in cands]) isort = sigmas.argsort() sigmas = sigmas[isort] if usefreqs: - xdata = Num.array([c.f for c in cands])[isort] + xdata = np.array([c.f for c in cands])[isort] xlabel = "Freq (Hz)" xscale = "log" else: - xdata = Num.array([c.p for c in cands])[isort] + xdata = np.array([c.p for c in cands])[isort] xlabel = "Period (s)" xscale = "loglin" - dms = Num.array([c.DM for c in cands])[isort] + dms = np.array([c.DM for c in cands])[isort] # Plot the candidates if fixedsize: @@ -388,10 +355,10 @@ def plot_rejects(self, usefreqs=True): plt.xscale(xscale) plt.xlabel(xlabel) - alldms = Num.array([c.DM for c in self.get_all_cands()]) - mindm = Num.min(alldms) - maxdm = Num.max(alldms) - dmrange = Num.ptp(alldms) + alldms = np.array([c.DM for c in self.get_all_cands()]) + mindm = np.min(alldms) + maxdm = np.max(alldms) + dmrange = np.ptp(alldms) # Use log-scale y-axis if max DM > 2000 yscale = "log" if maxdm > 2000.0 else "linear" @@ -404,18 +371,18 @@ def plot_rejects(self, usefreqs=True): plt.ylabel(r"DM (pc cm$^{-3}$)") if not usefreqs: - all_xdata = Num.array([c.p for c in self.get_all_cands()]) - plt.gca().xaxis.set_ticks(Num.concatenate((\ - Num.logspace(-4,0,4, endpoint=False), \ - Num.linspace(1,15,8)))) - plt.gca().xaxis.set_ticks(Num.logspace(-4,0,40), minor=True) + all_xdata = np.array([c.p for c in self.get_all_cands()]) + plt.gca().xaxis.set_ticks(np.concatenate((\ + np.logspace(-4,0,4, endpoint=False), \ + np.linspace(1,15,8)))) + plt.gca().xaxis.set_ticks(np.logspace(-4,0,40), minor=True) plt.gca().xaxis.set_ticklabels([r"10$^{-4}$", r"10$^{-3}$", \ r"10$^{-2}$", r"10$^{-1}$", "1", "3", "5", "7", \ "9", "11", "13", "15"]) plt.xlim(max(short_period/5.0, min(all_xdata)/5.0), \ min(long_period+0.5, max(all_xdata)+0.5)) else: - all_xdata = Num.array([c.f for c in self.get_all_cands()]) + all_xdata = np.array([c.f for c in self.get_all_cands()]) plt.xlim(min(all_xdata)/5.0, max(all_xdata)*2.0) return fig @@ -468,9 +435,9 @@ def plot_goodcands(self, usefreqs=True): else: xval = c.p xdata.extend([xval]*len(c.hits)) - sigmas = Num.array(sigmas) - dms = Num.array(dms) - xdata = Num.array(xdata) + sigmas = np.array(sigmas) + dms = np.array(dms) + xdata = np.array(xdata) isort = sigmas.argsort() sigmas = sigmas[isort] @@ -498,16 +465,16 @@ def plot_goodcands(self, usefreqs=True): plt.xscale(xscale) plt.xlabel(xlabel) - mindm = Num.min(dms) - maxdm = Num.max(dms) - dmrange = Num.ptp(dms) + mindm = np.min(dms) + maxdm = np.max(dms) + dmrange = np.ptp(dms) plt.ylim(mindm-0.1*dmrange, maxdm+0.1*dmrange) plt.ylabel(r"DM (pc cm$^{-3}$)") if not usefreqs: - plt.gca().xaxis.set_ticks(Num.concatenate((\ - Num.logspace(-4,0,4, endpoint=False), \ - Num.linspace(1,15,8)))) - plt.gca().xaxis.set_ticks(Num.logspace(-4,0,40), minor=True) + plt.gca().xaxis.set_ticks(np.concatenate((\ + np.logspace(-4,0,4, endpoint=False), \ + np.linspace(1,15,8)))) + plt.gca().xaxis.set_ticks(np.logspace(-4,0,40), minor=True) plt.gca().xaxis.set_ticklabels([r"10$^{-4}$", r"10$^{-3}$", \ r"10$^{-2}$", r"10$^{-1}$", "1", "3", "5", "7", \ "9", "11", "13", "15"]) @@ -603,7 +570,7 @@ def reject_knownbirds(self, known_birds_f=[], known_birds_p=[]): cand = self.cands[ii] known_bird = 0 for bird, err in known_birds_f: - if (Num.fabs(cand.f-bird) < err): + if (np.fabs(cand.f-bird) < err): known_bird = 1 cand.note = "Freq (%.2f Hz) is within %g Hz " \ "of a known birdie centred at %.2f Hz" % \ @@ -613,7 +580,7 @@ def reject_knownbirds(self, known_birds_f=[], known_birds_p=[]): self.mark_as_bad(ii, 'knownbirds') continue for bird, err in known_birds_p: - if (Num.fabs(cand.p*1000.0-bird) < err): + if (np.fabs(cand.p*1000.0-bird) < err): known_bird = 1 cand.note = "Period (%.2f ms) is within %g ms " \ "of a known birdie centred at %.2f ms" % \ @@ -678,7 +645,7 @@ def reject_harmpowcutoff(self, harm_pow_cutoff=None): harm_pow_cutoff = globals()['harm_pow_cutoff'] for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] - maxharm = Num.argmax(cand.harm_pows) + maxharm = np.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] if maxpow < harm_pow_cutoff: cand.note = "All harmonics have power < %g" % harm_pow_cutoff @@ -696,11 +663,11 @@ def reject_rogueharmpow(self): """ for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] - maxharm = Num.argmax(cand.harm_pows) + maxharm = np.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] # Sort the harmonics by power - sortedpows = Num.sort(cand.harm_pows) + sortedpows = np.sort(cand.harm_pows) if (cand.numharm >= 8 and maxharm > 4 and \ maxpow > 2*sortedpows[-2]): @@ -750,7 +717,7 @@ def remove_duplicate_candidates(self, verbosity=1): if verbosity >= 1: print(" Sorting the %d candidates by frequency..." % \ self.get_numcands()) - self.cands.sort(cmp_freq) + self.cands.sort(key=lambda cand: cand.r) if verbosity >= 1: print(" Searching for dupes...") ii = 0 @@ -758,17 +725,17 @@ def remove_duplicate_candidates(self, verbosity=1): while ii < self.get_numcands(): jj = ii + 1 if jj < self.get_numcands() and \ - Num.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: + np.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: # Find others that match jj += 1 while jj < self.get_numcands() and \ - Num.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: + np.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: jj += 1 matches = self.cands[ii:jj] - matches.sort(cmp_sigma) + matches.sort(key=lambda cand: cand.sigma, reverse=True) bestindex = self.cands.index(matches[0]) #sigmas = [c.sigma for c in matches] - #bestindex = Num.argmax(sigmas)+ii + #bestindex = np.argmax(sigmas)+ii # flag the duplicates bestcand = self.cands[bestindex] # Add other matching cands as hit of highest-sigma cand @@ -794,7 +761,7 @@ def remove_duplicate_candidates(self, verbosity=1): ii += 1 # No candidates to be added as hits, move on if verbosity >= 1: print("Found %d candidates.\n" % self.get_numcands()) - self.cands.sort(cmp_sigma) + self.cands.sort(key=lambda cand: cand.sigma, reverse=True) def remove_harmonics(self, verbosity=1): """Remove the candidates that are lower significance harmonics @@ -808,7 +775,7 @@ def remove_harmonics(self, verbosity=1): """ # Note: should probably put the harmonics into the fundamental as hits (use sets) numremoved = 0 - self.cands.sort(cmp_sigma) + self.cands.sort(key=lambda cand: cand.sigma, reverse=True) f_err = r_err/self.cands[0].T if verbosity >= 1: print("\nSearching for duplicate harmonics...") @@ -820,11 +787,11 @@ def remove_harmonics(self, verbosity=1): while 1: harmcand = self.cands[jj] if zapj: print("Hey!") - for factor in Num.arange(1.0, 17.0): - if Num.fabs(fundcand.f - harmcand.f*factor) < f_err*factor: + for factor in np.arange(1.0, 17.0): + if np.fabs(fundcand.f - harmcand.f*factor) < f_err*factor: zapj = 1 harmstr = "1/%dth" % factor - elif Num.fabs(fundcand.f - harmcand.f/factor) < f_err/factor: + elif np.fabs(fundcand.f - harmcand.f/factor) < f_err/factor: zapj = 1 if factor==2.0: harmstr = "%dnd" % factor @@ -848,7 +815,7 @@ def remove_harmonics(self, verbosity=1): [2.0, 2.0, 3.0, 3.0, 3.0, \ 4.0, 4.0, 5.0, 5.0, 5.0]): factor = numer/denom - if Num.fabs(fundcand.f-harmcand.f*factor) < f_err*factor: + if np.fabs(fundcand.f-harmcand.f*factor) < f_err*factor: if verbosity >= 2: print("Removing %s:%d (%.2f Hz) because it is " \ "a harmonic (%d/%dth) of %s:%d (%.2f Hz)" % \ @@ -904,14 +871,14 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): # Create a dictionary where the key is the dmstr # and the values are the index dmdict = {} - dms = Num.unique([float(dm) for dm in dmlist]) + dms = np.unique([float(dm) for dm in dmlist]) dmstrs = ['%.2f'%dm for dm in dms] dmdict = dict(list(zip(dmstrs, list(range(len(dms)))))) numremoved = 0 num_toofew = 0 num_toolow = 0 num_gaps = 0 - self.cands.sort(cmp_sigma) + self.cands.sort(key=lambda cand: cand.sigma, reverse=True) for ii in reversed(list(range(len(self.cands)))): currcand = self.cands[ii] # Remove all the candidates without enough DM hits @@ -931,7 +898,7 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): # Remove all the candidates where the max sigma DM is # less than the cutoff DM # Recall - A hit is a 3-tuple: (DM, SNR, sigma) - imax = Num.argmax(Num.array([hit[2] for hit in currcand.hits])) + imax = np.argmax(np.array([hit[2] for hit in currcand.hits])) hitdm, hitsnr, hitsigma = currcand.hits[imax] if float(hitdm) <= low_DM_cutoff: numremoved += 1 @@ -948,8 +915,8 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): # Remove all the candidates where there are no hits at consecutive DMs if len(currcand.hits) > 1: - currcand.hits.sort(cmp_dms) - dm_indices = Num.asarray([dmdict["%.2f"%currcand.hits[jj][0]] + currcand.hits.sort(key=lambda cand: float(cand[0])) + dm_indices = np.asarray([dmdict["%.2f"%currcand.hits[jj][0]] for jj in range(len(currcand.hits))]) min_dmind_diff = min(dm_indices[1:] - dm_indices[:-1]) if min_dmind_diff > 1: @@ -1093,7 +1060,7 @@ def to_file(self, candfilenm=None): for goodcand in self.cands: candfile.write("%s (%d)\n" % (str(goodcand), len(goodcand.hits))) if (len(goodcand.hits) > 1): - goodcand.hits.sort(cmp_dms) + goodcand.hits.sort(key=lambda cand: float(cand[0])) for hit in goodcand.hits: numstars = int(hit[2]/3.0) candfile.write(" DM=%6.2f SNR=%5.2f Sigma=%5.2f "%hit + \ @@ -1155,12 +1122,12 @@ def candlist_from_candfile(filename, trackbad=False, trackdupes=False): candnum = last_goodcandnum + 1 if candnum in candnums: cand = cands[candnums.index(candnum)] - cand.harm_pows = Num.zeros(cand.numharm, dtype=Num.float64) - cand.harm_amps = Num.zeros(cand.numharm, dtype=Num.complex64) + cand.harm_pows = np.zeros(cand.numharm, dtype=np.float64) + cand.harm_amps = np.zeros(cand.numharm, dtype=np.complex64) power = parse_power(split_line[3]) phase = float(split_line[9].split("(")[0]) cand.harm_pows[0] = power - cand.harm_amps[0] = Num.sqrt(power) * Num.exp(phase*1.0j) + cand.harm_amps[0] = np.sqrt(power) * np.exp(phase*1.0j) if (cand.numharm > 1): current_goodcandnum = candnum current_harmnum = 1 @@ -1186,7 +1153,7 @@ def candlist_from_candfile(filename, trackbad=False, trackdupes=False): power = parse_power(line.split()[2]) phase = float(line.split()[8].split("(")[0]) cand.harm_pows[current_harmnum] = power - cand.harm_amps[current_harmnum] = Num.sqrt(power) * Num.exp(phase*1.0j) + cand.harm_amps[current_harmnum] = np.sqrt(power) * np.exp(phase*1.0j) current_harmnum += 1 # Calculate other stats after all harmonics have been read in if (current_harmnum==cand.numharm): @@ -1288,7 +1255,7 @@ def sift_directory(dir, outbasenm): if len(all_accel_cands): all_accel_cands.remove_harmonics() # Note: the candidates will be sorted in _sigma_ order, not _SNR_! - all_accel_cands.cands.sort(cmp_sigma) + all_accel_cands.cands.sort(key=lambda cand: cand.sigma, reverse=True) print("Found %d good candidates" % len(all_accel_cands)) all_accel_cands.to_file(outbasenm+".accelcands") all_accel_cands.write_cand_report(outbasenm+".accelcands.report") @@ -1332,13 +1299,13 @@ def __init__(self, thresh): self.thresh = thresh def transform(self, a): - aa = Num.ma.masked_where(a Date: Tue, 21 Aug 2018 10:30:59 -0400 Subject: [PATCH 026/146] Added SHAO to observatories --- src/misc_utils.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/misc_utils.c b/src/misc_utils.c index f484fd3ca..f67b3953e 100644 --- a/src/misc_utils.c +++ b/src/misc_utils.c @@ -228,8 +228,8 @@ void telescope_to_tempocode(char *inname, char *outname, char *obscode) strcpy(obscode, "FA"); strcpy(outname, "FAST"); } else if (strcmp(scope, "shao") == 0) { - strcpy(obscode, "SH"); - strcpy(outname, "SHAO"); + strcpy(obscode, "SH"); + strcpy(outname, "SHAO"); } else if (strcmp(scope, "wsrt") == 0) { strcpy(obscode, "WT"); strcpy(outname, "WSRT"); From a806200fe2303265c43ffa6233e683fa2e121892 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 21 Aug 2018 17:52:47 -0400 Subject: [PATCH 027/146] Removed accidental commit --- src/misc_utils.c | 3 --- src/polycos.c | 3 --- 2 files changed, 6 deletions(-) diff --git a/src/misc_utils.c b/src/misc_utils.c index f67b3953e..f8a9b1b9c 100644 --- a/src/misc_utils.c +++ b/src/misc_utils.c @@ -227,9 +227,6 @@ void telescope_to_tempocode(char *inname, char *outname, char *obscode) } else if (strcmp(scope, "fast") == 0) { strcpy(obscode, "FA"); strcpy(outname, "FAST"); - } else if (strcmp(scope, "shao") == 0) { - strcpy(obscode, "SH"); - strcpy(outname, "SHAO"); } else if (strcmp(scope, "wsrt") == 0) { strcpy(obscode, "WT"); strcpy(outname, "WSRT"); diff --git a/src/polycos.c b/src/polycos.c index 8419d9de6..57e5fcf31 100644 --- a/src/polycos.c +++ b/src/polycos.c @@ -129,9 +129,6 @@ char *make_polycos(char *parfilenm, infodata * idata, char *polycofilenm) } else if (strcmp(idata->telescope, "GMRT") == 0) { scopechar = 'r'; tracklen = 12; - } else if (strcmp(idata->telescope, "SHAO") == 0) { - scopechar = 's'; - tracklen = 12; } else if (strcmp(idata->telescope, "CHIME") == 0) { scopechar = 'y'; tracklen = 1; From 7e2ace8a6b57b25eda139f81f07afad35bc84c23 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 29 Sep 2018 13:25:33 -0400 Subject: [PATCH 028/146] Changes to sifting --- lib/python/sifting.py | 15 +++++++++------ python/ACCEL_sift.py | 3 ++- 2 files changed, 11 insertions(+), 7 deletions(-) diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 9d5755b2c..1dcec088a 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,10 +1,12 @@ #!/usr/bin/env python from __future__ import print_function from builtins import zip, str, range, object +from operator import itemgetter, attrgetter import sys, re, os, copy import numpy as np import matplotlib import matplotlib.pyplot as plt + from presto import candidate_sigma # Note: the following are global variables that can @@ -717,7 +719,7 @@ def remove_duplicate_candidates(self, verbosity=1): if verbosity >= 1: print(" Sorting the %d candidates by frequency..." % \ self.get_numcands()) - self.cands.sort(key=lambda cand: cand.r) + self.cands.sort(key=attrgetter('r')) if verbosity >= 1: print(" Searching for dupes...") ii = 0 @@ -732,7 +734,7 @@ def remove_duplicate_candidates(self, verbosity=1): np.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: jj += 1 matches = self.cands[ii:jj] - matches.sort(key=lambda cand: cand.sigma, reverse=True) + matches.sort(key=attrgetter('sigma'), reverse=True) bestindex = self.cands.index(matches[0]) #sigmas = [c.sigma for c in matches] #bestindex = np.argmax(sigmas)+ii @@ -761,7 +763,7 @@ def remove_duplicate_candidates(self, verbosity=1): ii += 1 # No candidates to be added as hits, move on if verbosity >= 1: print("Found %d candidates.\n" % self.get_numcands()) - self.cands.sort(key=lambda cand: cand.sigma, reverse=True) + self.cands.sort(key=attrgetter('sigma'), reverse=True) def remove_harmonics(self, verbosity=1): """Remove the candidates that are lower significance harmonics @@ -775,7 +777,7 @@ def remove_harmonics(self, verbosity=1): """ # Note: should probably put the harmonics into the fundamental as hits (use sets) numremoved = 0 - self.cands.sort(key=lambda cand: cand.sigma, reverse=True) + self.cands.sort(key=attrgetter('sigma'), reverse=True) f_err = r_err/self.cands[0].T if verbosity >= 1: print("\nSearching for duplicate harmonics...") @@ -878,7 +880,7 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): num_toofew = 0 num_toolow = 0 num_gaps = 0 - self.cands.sort(key=lambda cand: cand.sigma, reverse=True) + self.cands.sort(key=attrgetter('sigma'), reverse=True) for ii in reversed(list(range(len(self.cands)))): currcand = self.cands[ii] # Remove all the candidates without enough DM hits @@ -1255,7 +1257,7 @@ def sift_directory(dir, outbasenm): if len(all_accel_cands): all_accel_cands.remove_harmonics() # Note: the candidates will be sorted in _sigma_ order, not _SNR_! - all_accel_cands.cands.sort(key=lambda cand: cand.sigma, reverse=True) + all_accel_cands.cands.sort(key=attrgetter('sigma'), reverse=True) print("Found %d good candidates" % len(all_accel_cands)) all_accel_cands.to_file(outbasenm+".accelcands") all_accel_cands.write_cand_report(outbasenm+".accelcands.report") @@ -1338,5 +1340,6 @@ def main(): outbasenm = sys.argv[1] sift_directory(os.getcwd(), outbasenm) + if __name__ == '__main__': main() diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index d418b5d69..66a915e10 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,5 +1,6 @@ from builtins import map import sifting, re, glob +from operator import itemgetter, attrgetter # Note: You will almost certainly want to adjust # the following variables for your particular search @@ -73,5 +74,5 @@ # Write candidates to STDOUT if len(cands): - cands.sort(sifting.cmp_sigma) + cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(cands) From 80d2a3f2996c68120e08e959f8df643a6c9e19d5 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 29 Sep 2018 13:36:20 -0400 Subject: [PATCH 029/146] pulsar catalog can be imported --- lib/python/pypsrcat.py | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/lib/python/pypsrcat.py b/lib/python/pypsrcat.py index 37152fb65..ce9768538 100644 --- a/lib/python/pypsrcat.py +++ b/lib/python/pypsrcat.py @@ -1,8 +1,6 @@ from __future__ import print_function -from past.builtins import cmp -from builtins import map -from builtins import object -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py +from builtins import map, object +from operator import attrgetter import struct, os, os.path, presto, psr_utils, math ## The most recent catalogs are available here: @@ -50,7 +48,7 @@ def __init__(self, line): h, m = hms s = 0.0 elif len(hms)==1: - h = hms + h = hms[0] m = s = 0.0 self.ra = psr_utils.hms_to_rad(h, m, s) self.raerr = float(parts[part_index+1]) * psr_utils.SECTORAD @@ -65,13 +63,13 @@ def __init__(self, line): d, m = dms s = 0.0 elif len(dms)==1: - d = dms + d = dms[0] m = s = 0.0 # Fixed silly dec=-0.0 bug - if parts[part_index].split(":")[0]=="-00": - m = -m - s = -s - self.dec = psr_utils.dms_to_rad(d, m, s) + if parts[part_index].split(":")[0]=="-00": + m = -m + s = -s + self.dec = psr_utils.dms_to_rad(d, m, s) self.decerr = float(parts[part_index+1]) * psr_utils.ARCSECTORAD part_index += 1 elif param=="PMRA": @@ -216,8 +214,6 @@ def __init__(self, line): part_index += 1 param_index += 1 self.alias = "" - def __cmp__(self, other): - return cmp(self.jname, other.jname) def __str__(self): out = '' if (self.name): @@ -333,7 +329,7 @@ def pack_structs(self): infile.close() psrs = list(pulsars.values()) -psrs.sort() +psrs.sort(key=attrgetter('jname')) # Now create a new dictionary of pulsars with aliases psr_aliases = {} From ac9c15a9efa05be586a65397e39657a28587f591 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 6 Oct 2018 13:35:57 -0400 Subject: [PATCH 030/146] Updated ATNF reader in several ways (and catalog) --- lib/psr_catalog.txt | 5829 ++++++++++++++++++---------------------- lib/pulsars.cat | Bin 360048 -> 363232 bytes lib/python/pypsrcat.py | 122 +- 3 files changed, 2702 insertions(+), 3249 deletions(-) diff --git a/lib/psr_catalog.txt b/lib/psr_catalog.txt index ab8bbf422..c1d2cc93b 100644 --- a/lib/psr_catalog.txt +++ b/lib/psr_catalog.txt @@ -1,3168 +1,2661 @@ ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -# NAME PSRJ RAJ DECJ PMRA PMDEC PX POSEPOCH Gl Gb P0 P1 F2 F3 PEPOCH DM DM1 S400 S1400 BINARY T0 PB A1 OM ECC TASC EPS1 EPS2 DIST ASSOC SURVEY PSR - (hms) (dms) (mas/yr) (mas/yr) (mas) (MJD) (deg) (deg) (s) (s^-3) (s^-4) (MJD) (cm^-3 pc) (cm^-3 pc/yr) (mJy) (mJy) (type) (MJD) (days) (lt sec) (deg) (MJD) (kpc) TYPE ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -1 J0002+6216 J0002+6216 00:02:58.1 2.0e-02 +62:16:09.4 1.0e-01 * 0 * 0 * 0 55806.00 117.327 -0.074 0.115364 1.4e-12 5.97e-15 7.0e-20 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J0002.6+6218[aaa+15] FermiBlind NRAD -2 J0006+1834 J0006+1834 00:06:04.8 2.0e-01 +18:34:59 4.0e+00 * 0 * 0 * 0 49079.50 108.172 -42.985 0.693748 1.4e-10 2.10e-15 1.2e-17 * 0 * 0 49079.50 11.41 5.5e-01 * 0 0.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.86 * ar4 * -3 J0007+7303 J0007+7303 00:07:01.7 2.0e-01 +73:03:07.4 8.0e-01 * 0 * 0 * 0 54952.00 119.660 10.463 0.315873 3.0e-10 3.60e-13 5.0e-17 4.100e-23 7.0e-24 5.400e-30 9.0e-31 54952.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 GRS:2FGL_J0007.0+7303[naa+12],XRS:RX_J00 FermiBlind NRAD -4 J0011+08 J0011+08 00:11:34 1.1e+02 +08:10 8.0e+00 * 0 * 0 * 0 57022.00 106.228 -53.407 2.552870 0 * 0 * 0 * 0 57022.00 24.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * ar327 * -5 B0011+47 J0014+4746 00:14:17.7 4.0e-02 +47:46:33.4 3.0e-01 19.300 1.8e+00 -19.700 1.5e+00 * 0 49664.00 116.497 -14.631 1.240699 1.1e-11 5.64e-16 1.4e-19 7.300e-28 1.4e-27 * 0 49664.00 30.41 1.3e-02 * 0 14.00 2.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.78 * gb1,gb2,gb3 * - -6 J0023+0923 J0023+0923 00:23:16.8 1.0e-05 +09:23:23.8 3.3e-04 * 0 * 0 0.930 1.6e-01 56567.00 111.383 -52.849 0.003050 7.0e-18 1.14e-20 4.0e-25 * 0 * 0 56567.00 14.33 4.0e-05 * 0 2.00 0 0.48 0 ELL1 * 0 0.1388 5.0e-11 0.0348 7.0e-08 119.05 0.0e+00 8.237e-06 0.0e+00 56567.0261 8.0e-08 7.200e-06 3.1e-06 -4.000e-06 3.2e-06 1.08 GRS:3FGL_J0023.4+0923[aaa+15],OPT:[bvr+1 FermiAssoc HE -7 J0024-7201Z J0024-7201Z 00:24:06.0 2.0e-03 -72:05:01.4 6.0e-03 4.000 2.0e+00 1.000 2.0e+00 * 0 51600.00 305.894 -44.887 0.004554 3.0e-15 -4.54e-21 7.0e-23 8.000e-27 2.5e-26 * 0 51600.00 24.45 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.56 * * * -8 J0024-7204aa J0024-7204aa 00:24:05.6 0 -72:04:52.6 0 * 0 * 0 * 0 57022.00 305.895 -44.889 0.001840 0 * 0 * 0 * 0 57022.00 24.97 7.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.69 GC:47Tuc misc * -9 J0024-7204ab J0024-7204ab 00:24:08.1 5.0e-04 -72:04:47.6 2.0e-03 4.200 6.0e-01 -2.900 5.0e-01 * 0 51600.00 305.891 -44.891 0.003705 6.0e-16 9.82e-21 9.0e-24 -8.000e-27 3.0e-28 * 0 51600.00 24.37 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.54 GC:47Tuc misc * -10 B0021-72C J0024-7204C 00:23:50.3 1.0e-04 -72:04:31.5 4.0e-04 5.200 1.0e-01 -3.100 1.0e-01 * 0 51600.00 305.923 -44.892 0.005757 1.4e-16 -4.99e-20 2.0e-24 1.300e-27 4.0e-28 * 0 51600.00 24.60 4.0e-03 * 0 1.53 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * - -11 B0021-72D J0024-7204D 00:24:13.8 6.0e-05 -72:04:43.8 2.0e-04 4.240 7.0e-02 -2.240 5.0e-02 * 0 51600.00 305.881 -44.893 0.005358 9.0e-17 -3.42e-21 9.0e-25 -1.200e-27 2.0e-28 * 0 51600.00 24.73 3.0e-03 * 0 0.95 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -12 B0021-72E J0024-7204E 00:24:11.1 5.0e-05 -72:05:20.1 2.0e-04 6.150 3.0e-02 -2.350 6.0e-02 * 0 51600.00 305.883 -44.883 0.003536 4.0e-17 9.85e-20 6.0e-25 2.900e-27 2.0e-28 * 0 51600.00 24.24 2.0e-03 * 0 * 0 * 0 DD 51001.7900 8.0e-04 2.2568 9.0e-07 1.9818 4.0e-07 218.60 1.0e-01 3.159e-04 4.0e-07 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -13 B0021-72F J0024-7204F 00:24:03.8 1.0e-04 -72:04:42.8 2.0e-04 4.520 8.0e-02 -2.500 5.0e-02 * 0 51600.00 305.899 -44.892 0.002624 4.0e-17 6.45e-20 7.0e-25 6.800e-27 7.0e-28 * 0 51600.00 24.38 5.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -14 B0021-72G J0024-7204G 00:24:07.9 1.0e-04 -72:04:39.7 5.0e-04 4.500 1.0e-01 -2.900 1.0e-01 * 0 51600.00 305.891 -44.893 0.004040 1.4e-16 -4.22e-20 1.7e-24 6.000e-27 9.0e-28 * 0 51600.00 24.44 4.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -15 B0021-72H J0024-7204H 00:24:06.7 2.0e-04 -72:04:06.8 6.0e-04 5.100 2.0e-01 -2.800 2.0e-01 * 0 51600.00 305.896 -44.902 0.003210 1.1e-16 -1.83e-21 1.1e-24 1.600e-25 2.0e-27 * 0 51600.00 24.37 8.0e-03 * 0 * 0 * 0 DD 51602.1863 7.0e-06 2.3577 1.0e-08 2.1528 2.0e-06 110.60 1.0e-03 7.056e-02 1.0e-06 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * - -16 B0021-72I J0024-7204I 00:24:07.9 2.0e-04 -72:04:39.6 7.0e-04 5.000 2.0e-01 -2.100 2.0e-01 * 0 51600.00 305.892 -44.893 0.003485 1.3e-16 -4.59e-20 3.0e-24 -3.350e-26 9.0e-28 * 0 51600.00 24.43 1.0e-02 * 0 * 0 * 0 ELL1 * 0 0.2298 4.0e-10 0.0384 1.0e-06 * 0 * 0 51600.0024 2.0e-06 0.000e+00 0 0.000e+00 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -17 B0021-72J J0024-7204J 00:23:59.4 1.0e-04 -72:03:58.7 5.0e-04 5.270 6.0e-02 -3.590 9.0e-02 * 0 51600.00 305.909 -44.903 0.002101 5.0e-17 -9.79e-21 9.0e-25 2.000e-26 1.0e-28 * 0 51600.00 24.59 3.0e-03 * 0 * 0 * 0 BTX 51600.1084 6.0e-07 0.1207 1.3e-10 4.0400 0 0.00 0 0.000e+00 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -18 B0021-72L J0024-7204L 00:24:03.7 3.0e-04 -72:04:56.9 2.0e-03 4.400 2.0e-01 -2.400 2.0e-01 * 0 51600.00 305.898 -44.888 0.004346 4.0e-16 -1.22e-19 4.0e-24 -1.300e-27 1.3e-27 * 0 51600.00 24.40 1.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -19 B0021-72M J0024-7204M 00:23:54.4 3.0e-04 -72:05:30.7 2.0e-03 5.000 3.0e-01 -2.000 4.0e-01 * 0 51600.00 305.913 -44.877 0.003677 3.0e-16 -3.84e-20 6.0e-24 7.000e-27 2.0e-27 * 0 51600.00 24.43 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -20 B0021-72N J0024-7204N 00:24:09.1 2.0e-04 -72:04:28.8 7.0e-04 6.300 2.0e-01 -2.800 2.0e-01 * 0 51600.00 305.890 -44.897 0.003054 1.0e-16 -2.19e-20 1.9e-24 -9.000e-27 2.0e-28 * 0 51600.00 24.57 9.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * - -21 J0024-7204O J0024-7204O 00:24:04.6 6.0e-05 -72:04:53.7 2.0e-04 5.010 5.0e-02 -2.580 8.0e-02 * 0 51600.00 305.897 -44.889 0.002643 5.0e-17 3.03e-20 6.0e-25 4.380e-26 5.0e-28 * 0 51600.00 24.36 2.0e-03 * 0 * 0 * 0 BTX 51600.0758 3.0e-07 0.1360 1.0e-10 0.5800 6.0e-03 0.00 0 0.000e+00 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -22 J0024-7204P J0024-7204P 00:24:20 2.9e+01 -72:04:10 6.2e+01 * 0 * 0 * 0 51000.00 305.872 -44.904 0.003643 3.0e-10 6.64e-19 4.0e-20 * 0 * 0 51000.00 24.29 3.0e-02 * 0 * 0 * 0 BT 52912.5481 1.0e-04 0.1472 7.0e-09 0.0380 4.0e-06 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc pksgc * -23 J0024-7204Q J0024-7204Q 00:24:16.4 1.0e-04 -72:04:25.1 6.0e-04 5.200 1.0e-01 -2.600 1.0e-01 * 0 51600.00 305.877 -44.899 0.004033 1.5e-16 3.40e-20 4.0e-24 7.000e-28 1.1e-27 * 0 51600.00 24.27 4.0e-03 * 0 * 0 * 0 ELL1 * 0 1.1891 4.0e-10 1.4622 9.0e-07 129.44 0.0e+00 8.028e-05 0.0e+00 51600.2842 2.0e-07 6.200e-05 1.0e-06 -5.100e-05 2.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[rvh+15] pksgc * -24 J0024-7204R J0024-7204R 00:24:07.5 2.0e-04 -72:04:50.3 5.0e-04 4.800 1.0e-01 -3.300 2.0e-01 * 0 51600.00 305.892 -44.890 0.003480 1.3e-16 1.48e-19 3.0e-24 -8.500e-27 1.5e-27 * 0 51600.00 24.36 7.0e-03 * 0 * 0 * 0 ELL1 * 0 0.0662 6.0e-11 0.0452 3.0e-07 253.30 0.0e+00 1.044e-04 0.0e+00 51600.0030 6.0e-07 -1.000e-04 6.0e-07 -3.000e-05 7.0e-06 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -25 J0024-7204S J0024-7204S 00:24:03.9 1.0e-04 -72:04:42.3 4.0e-04 4.500 1.0e-01 -2.500 1.0e-01 * 0 51600.00 305.898 -44.892 0.002830 8.0e-17 -1.21e-19 9.0e-25 -7.800e-27 8.0e-28 * 0 51600.00 24.38 4.0e-03 * 0 * 0 * 0 ELL1 * 0 1.2017 6.0e-10 0.7663 8.0e-07 13.23 0.0e+00 3.976e-04 0.0e+00 51600.6250 2.0e-07 9.100e-05 3.0e-06 3.870e-04 2.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[rvh+15] pksgc * - -26 J0024-7204T J0024-7204T 00:24:08.5 5.0e-04 -72:04:38.9 3.0e-03 5.100 6.0e-01 -2.600 7.0e-01 * 0 51600.00 305.890 -44.894 0.007588 1.2e-15 2.94e-19 1.2e-23 -3.000e-27 2.0e-28 * 0 51600.00 24.41 2.0e-02 * 0 * 0 * 0 ELL1 * 0 1.1262 1.0e-09 1.3385 5.0e-06 62.47 0.0e+00 4.003e-04 0.0e+00 51600.5693 7.0e-07 3.550e-04 7.0e-06 1.850e-04 7.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[cpf+15] pksgc * -27 J0024-7204U J0024-7204U 00:24:09.8 1.0e-04 -72:03:59.6 4.0e-04 4.600 2.0e-01 -3.800 1.0e-01 * 0 51600.00 305.890 -44.905 0.004343 1.2e-16 9.52e-20 1.7e-24 1.880e-26 6.0e-28 * 0 51600.00 24.34 4.0e-03 * 0 * 0 * 0 ELL1 * 0 0.4291 8.0e-11 0.5269 7.0e-07 348.54 0.0e+00 1.459e-04 0.0e+00 51600.3894 1.0e-07 -2.900e-05 4.0e-06 1.430e-04 2.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[cpf+15] pksgc * -28 J0024-7204V J0024-7204V 00:24:05.6 0 -72:04:52.6 0 * 0 * 0 * 0 51000.00 305.895 -44.889 0.004810 7.0e-11 * 0 * 0 * 0 51000.00 24.11 0 * 0 * 0 * 0 BTX 51803.7751 2.0e-06 0.2121 1.6e-09 0.7419 2.0e-05 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc pksgc * -29 J0024-7204W J0024-7204W 00:24:06.0 1.0e-03 -72:04:49.0 2.0e-03 6.100 5.0e-01 -2.600 3.0e-01 0.213 0 50000.00 305.894 -44.890 0.002352 3.0e-16 -8.66e-20 1.2e-24 * 0 * 0 50000.00 24.37 3.0e-03 * 0 * 0 * 0 BTX 51585.3327 2.0e-07 0.1329 5.0e-10 0.2434 2.0e-06 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -30 J0024-7204X J0024-7204X 00:24:22.3 9.0e-05 -72:01:17.4 7.0e-04 5.800 1.0e-01 -3.300 2.0e-01 * 0 54000.00 305.877 -44.952 0.004772 5.0e-17 1.84e-20 7.0e-25 * 0 * 0 54000.00 24.54 5.0e-03 * 0 * 0 * 0 ELL1 * 0 10.9212 1.0e-09 11.9171 9.0e-07 116.57 0.0e+00 4.472e-07 0.0e+00 53278.0247 2.0e-07 4.000e-07 1.0e-07 -2.000e-07 2.0e-08 4.69 GC:47Tuc pksgc * - -31 J0024-7204Y J0024-7204Y 00:24:01.4 1.0e-04 -72:04:41.8 4.0e-04 4.400 1.0e-01 -3.400 1.0e-01 * 0 51600.00 305.903 -44.891 0.002197 5.0e-17 -3.52e-20 1.0e-24 -2.110e-26 9.0e-28 * 0 51600.00 24.47 4.0e-03 * 0 * 0 * 0 ELL1 * 0 0.5219 1.0e-10 0.6686 7.0e-07 270.00 0.0e+00 3.000e-06 0.0e+00 51554.8340 2.0e-07 -3.000e-06 3.0e-07 0.000e+00 2.0e-06 4.69 GC:47Tuc,OPT:[cpf+15] pksgc * -32 J0024-7204Z J0024-7204Z 00:24:05.6 0 -72:04:52.6 0 * 0 * 0 * 0 54100.00 305.895 -44.889 0.004554 0 * 0 * 0 * 0 54100.00 24.47 1.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc pksgc * -33 J0026+6320 J0026+6320 00:26:50.5 8.0e-03 +63:20:00.8 5.0e-02 * 0 * 0 * 0 54000.00 120.176 0.593 0.318358 1.0e-12 1.50e-16 6.0e-20 * 0 * 0 54000.00 230.31 0 * 0 * 0 1.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.42 * misc * -34 J0030+0451 J0030+0451 00:30:27.4 3.8e-05 +04:51:39.7 1.3e-03 * 0 * 0 3.080 9.0e-02 55390.00 113.141 -57.611 0.004865 3.0e-16 1.02e-20 1.2e-24 * 0 * 0 55390.00 4.34 7.0e-05 * 0 7.90 2.0e-01 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.32 GRS:2FGL_J0030.4+0450[naa+12] misc HE[btlb00,aaa+09e] -35 J0033+57 J0033+57 00:33 0 +57 0 * 0 * 0 * 0 54100.00 120.410 -5.781 0.315000 0 * 0 * 0 * 0 54100.00 76.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.25 * gb350 * - -36 J0033+61 J0033+61 00:33 0 +61 0 * 0 * 0 * 0 54100.00 120.698 -1.792 0.912000 0 * 0 * 0 * 0 54100.00 37.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * gb350 * -37 J0034-0534 J0034-0534 00:34:21.8 8.0e-05 -05:34:36.7 3.0e-03 7.900 3.0e-01 -9.200 6.0e-01 * 0 50690.00 111.492 -68.069 0.001877 2.0e-16 4.97e-21 1.0e-24 -3.500e-26 3.6e-26 * 0 55000.00 13.77 4.0e-05 * 0 17.00 5.0e+00 0.61 9.0e-02 ELL1 * 0 1.5893 1.4e-10 1.4378 5.0e-07 314.06 0.0e+00 4.314e-06 0.0e+00 48765.5995 5.0e-07 -3.100e-06 7.0e-07 3.000e-06 6.0e-07 1.35 GRS:2FGL_J0034.4-0534[naa+12] pks70 HE[aaa+10b] -38 B0031-07 J0034-0721 00:34:08.8 1.0e-04 -07:21:53.4 2.0e-03 10.370 8.0e-02 -11.130 1.6e-01 0.930 8.0e-02 52275.00 110.420 -69.815 0.942951 1.7e-12 4.08e-16 7.0e-21 2.100e-28 6.0e-29 * 0 46635.00 10.92 6.0e-03 * 0 52.00 1.2e+01 11.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.03 * mol1,pks70 * -39 J0034+69 J0034+69 00:34 3.0e+00 +69:43 1.8e+01 * 0 * 0 * 0 56292.00 121.411 6.896 0.036804 1.6e-07 * 0 * 0 * 0 56292.00 80.00 3.0e-01 * 0 4.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.28 * gbncc * -40 B0037+56 J0040+5716 00:40:32.3 5.9e-03 +57:16:24.9 5.3e-02 * 0 * 0 * 0 49667.00 121.452 -5.567 1.118225 1.3e-12 2.88e-15 1.2e-20 -1.200e-28 1.7e-28 * 0 49667.00 92.51 2.5e-03 * 0 7.50 5.0e-01 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.42 * gb2,gbncc * - -41 J0045-7042 J0045-7042 00:45:25.6 1.7e-01 -70:42:07.1 1.3e+00 * 0 * 0 * 0 52407.00 303.652 -46.418 0.632336 6.0e-11 2.49e-15 3.0e-17 * 0 * 0 52407.00 70.00 3.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -42 J0045-7319 J0045-7319 00:45:35.1 7.0e-02 -73:19:03.0 2.0e-01 * 0 * 0 * 0 49144.00 303.514 -43.804 0.926276 3.0e-11 4.46e-15 9.0e-19 8.200e-25 5.0e-26 * 0 49144.00 105.40 7.0e-01 * 0 1.00 0 0.30 1.0e-01 BT 49169.2136 3.0e-05 51.1695 5.0e-06 174.2576 7.0e-04 115.25 5.0e-04 8.079e-01 3.0e-06 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -43 B0045+33 J0048+3412 00:48:33.9 2.1e-02 +34:12:08.0 3.7e-01 * 0 * 0 * 0 49875.00 122.255 -28.666 1.217094 8.0e-12 2.35e-15 6.0e-20 -1.000e-27 7.0e-28 * 0 49875.00 39.92 1.5e-02 * 0 2.30 3.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * gb2,gb3 * -44 J0050+03 J0050+03 00:50:31 1.1e+02 +03:48 8.0e+00 * 0 * 0 * 0 57022.00 122.485 -59.071 1.366560 0 * 0 * 0 * 0 57022.00 26.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -45 J0051+0423 J0051+0423 00:51:30.1 2.0e-01 +04:22:49 6.0e+00 * 0 * 0 * 0 49800.00 122.962 -58.491 0.354732 1.0e-11 7.00e-18 2.0e-18 * 0 * 0 49800.00 13.90 1.0e-01 * 0 3.00 3.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.25 * gb4 * - -46 J0053+69 J0053+69 00:53 3.0e+00 +69:39 1.8e+01 * 0 * 0 * 0 56292.00 123.069 6.779 0.832938 2.8e-05 * 0 * 0 * 0 56292.00 117.00 2.0e+00 * 0 30.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * gbncc * -47 J0054+66 J0054+66 00:54 0 +66 0 * 0 * 0 * 0 54100.00 123.193 3.130 1.390000 0 * 0 * 0 * 0 54100.00 15.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.90 * gb350 RRAT -48 J0054+69 J0054+69 00:54:28 2.5e+01 +69:26 2.0e+00 * 0 * 0 * 0 * 123.200 6.563 * 0 * 0 * 0 * 0 * 90.30 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.35 * gbncc RRAT -49 B0052+51 J0055+5117 00:55:45.3 9.5e-03 +51:17:24.9 1.0e-01 * 0 * 0 * 0 49664.00 123.621 -11.576 2.115171 4.0e-12 9.54e-15 4.0e-20 7.800e-28 1.4e-28 * 0 49664.00 44.01 2.4e-03 * 0 3.40 4.0e-01 1.50 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.94 * gb2 * -50 B0053+47 J0056+4756 00:56:25.5 1.9e-02 +47:56:10.5 2.3e-01 * 0 * 0 * 0 49872.00 123.796 -14.927 0.472037 7.0e-12 3.33e-15 7.0e-20 -2.700e-26 5.0e-27 * 0 49872.00 18.14 1.3e-03 * 0 3.00 5.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * gb2 * - -51 J0057-7201 J0057-7201 00:57:44.0 4.0e-01 -72:01:19 2.0e+00 * 0 * 0 * 0 51213.00 302.244 -45.098 0.738062 2.0e-10 1.00e-16 8.0e-17 * 0 * 0 51213.00 27.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.48 * misc * -52 J0058+6125 J0058+6125 00:58 0 +61:25 0 * 0 * 0 * 0 54100.00 123.717 -1.445 0.637000 0 * 0 * 0 * 0 54100.00 129.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * gb350 * -53 J0059+50 J0059+50 00:59 2.0e+00 +50:02 1.8e+01 * 0 * 0 * 0 56292.00 124.177 -12.820 0.996009 6.1e-05 * 0 * 0 * 0 56292.00 67.00 2.0e+00 * 0 5.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * gbncc * -54 J0100-7211 J0100-7211 01:00:43.0 1.1e-01 -72:11:33.6 5.0e-01 * 0 * 0 * 0 53032.00 301.930 -44.918 8.020392 9.0e-06 1.88e-11 8.0e-13 * 0 * 0 53032.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC,XRS:CXOU_J010043.1-721134 misc AXP,NRAD -55 J0101-6422 J0101-6422 01:01:11.1 2.0e-04 -64:22:30.1 2.0e-03 10.000 1.0e+00 -12.000 2.0e+00 * 0 55520.00 301.192 -52.720 0.002573 2.0e-16 5.16e-21 3.0e-23 * 0 * 0 55520.00 11.93 1.0e-03 * 0 * 0 0.28 6.0e-02 BT 55162.4012 3.0e-07 1.7876 2.0e-09 1.7010 2.0e-06 * 0 0.000e+00 1.5e-05 * 0 * 0 * 0 1.00 GRS:2FGL_J0101.2-6425[naa+12],XRS:[pb15] FermiAssoc HE - -56 J0102+4839 J0102+4839 01:03 0 +48:00 0 * 0 * 0 * 0 55196.00 124.932 -14.827 0.002960 0 * 0 * 0 * 0 55196.00 53.50 0 * 0 0.50 0 * 0 BT * 0 1.6700 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 GRS:2FGL_J0102.9+4838[naa+12] FermiAssoc HE -57 B0059+65 J0102+6537 01:02:32.9 1.6e-02 +65:37:13.4 1.0e-01 * 0 * 0 * 0 49675.00 124.080 2.773 1.679164 1.2e-11 5.95e-15 9.0e-20 -2.870e-26 6.0e-28 * 0 49675.00 65.85 1.6e-02 * 0 8.50 8.0e-01 1.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * gb1,gb3,gbncc * -58 J0103+54 J0103+54 01:03:37 2.0e+01 +54:02 5.0e+00 * 0 * 0 * 0 56657.00 124.741 -8.796 0.354304 6.0e-06 * 0 * 0 * 0 56657.00 55.60 4.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.01 * gbncc RRAT -59 J0106+4855 J0106+4855 01:06:25.0 1.0e-02 +48:55:51.8 2.0e-01 * 0 * 0 * 0 55225.00 125.465 -13.867 0.083157 6.0e-13 4.28e-16 5.0e-20 * 0 * 0 55225.00 70.87 2.0e-01 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 GRS:2FGL_J0106.5+4854[naa+12] FermiBlind HE -60 J0108-1431 J0108-1431 01:08:08.3 8.8e-05 -14:31:50.1 1.1e-03 75.100 2.3e+00 -152.500 1.7e+00 4.200 1.4e+00 54100.00 140.930 -76.815 0.807565 2.0e-11 7.70e-17 1.2e-19 -8.900e-27 7.7e-27 * 0 50889.00 2.38 1.9e-01 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * pks70 * - -61 B0105+65 J0108+6608 01:08:22.6 4.6e-02 +66:08:34.0 2.9e-01 * 0 * 0 * 0 50011.00 124.646 3.327 1.283660 5.0e-10 1.31e-14 3.0e-18 3.100e-25 5.0e-26 * 0 50011.00 30.55 1.4e-03 * 0 10.00 1.0e+00 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * jb1,gb1,gb2 * -62 B0105+68 J0108+6905 01:08:29.5 2.0e-02 +69:05:52.6 1.1e-01 * 0 * 0 * 0 49875.00 124.461 6.277 1.071118 5.0e-12 4.81e-17 4.0e-20 -7.800e-28 6.3e-28 * 0 49875.00 61.06 3.6e-03 * 0 3.70 4.0e-01 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * gb2,gbncc * -63 J0111-7131 J0111-7131 01:11:28.7 9.0e-02 -71:31:46.8 6.0e-01 * 0 * 0 * 0 52369.00 300.669 -45.510 0.688542 5.0e-11 7.09e-15 4.0e-18 * 0 * 0 52369.00 76.00 3.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -64 J0112+66 J0112+66 01:12 3.0e+00 +66:22 1.8e+01 * 0 * 0 * 0 56292.00 124.994 3.577 4.301240 7.0e-04 * 0 * 0 * 0 56292.00 112.00 3.0e+00 * 0 13.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.42 * gbncc * -65 J0113-7220 J0113-7220 01:13:11.0 3.0e-02 -72:20:32.2 1.5e-01 * 0 * 0 * 0 51212.00 300.615 -44.688 0.325883 1.0e-11 4.86e-15 1.5e-18 * 0 * 0 51212.00 125.49 3.0e-02 * 0 * 0 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * - -66 B0114+58 J0117+5914 01:17:38.6 2.6e-03 +59:14:38.3 2.3e-02 * 0 * 0 * 0 49751.00 126.283 -3.457 0.101439 2.0e-12 5.85e-15 1.7e-20 -3.380e-24 4.0e-26 * 0 49751.00 49.42 5.9e-04 * 0 7.60 6.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.77 XRS:[pb15] gb3,gbncc * -67 J0125+62 J0125+62 01:26 3.0e+00 +62:35 1.8e+01 * 0 * 0 * 0 56292.00 126.899 -0.022 1.708233 9.8e-05 * 0 * 0 * 0 56292.00 118.00 2.0e+00 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * gbncc * -68 J0131-7310 J0131-7310 01:31:28.5 3.0e-02 -73:10:09.3 1.3e-01 * 0 * 0 * 0 52335.00 298.944 -43.648 0.348124 7.0e-12 1.76e-15 7.0e-19 * 0 * 0 52335.00 205.20 7.0e-01 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -69 J0133-6957 J0133-6957 01:33:32.4 1.0e-02 -69:57:29.6 3.0e-02 * 0 * 0 * 0 49980.20 297.691 -46.739 0.463474 3.0e-12 1.20e-16 2.0e-19 * 0 * 0 49980.20 22.95 8.0e-03 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.44 * pks70 * -70 J0134-2937 J0134-2937 01:34:18.6 3.0e-04 -29:37:17.0 7.0e-03 13.000 2.0e+00 -11.000 3.0e+00 * 0 54428.00 230.251 -80.250 0.136962 1.4e-14 7.84e-17 3.0e-22 * 0 * 0 54428.00 21.81 6.0e-03 * 0 9.00 0 2.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks70 * - -71 J0136+63 J0136+63 01:36 3.0e+00 +63:42 1.8e+01 * 0 * 0 * 0 56292.00 127.844 1.254 0.717895 2.7e-05 * 0 * 0 * 0 56292.00 286.00 2.0e+00 * 0 3.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.12 * gbncc * -72 J0137+1654 J0137+1654 01:37:23.8 1.0e-02 +16:54:42.1 4.0e-01 * 0 * 0 * 0 52225.00 138.449 -44.571 0.414763 5.0e-13 1.22e-17 3.0e-20 * 0 * 0 52225.00 26.08 2.4e-03 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * ar4 * -73 J0139+5621 J0139+5621 01:39:38.5 2.0e-02 +56:21:36.8 4.0e-01 * 0 * 0 * 0 56000.00 129.609 -5.885 1.775344 1.0e-10 7.91e-14 3.0e-18 * 0 * 0 56000.00 101.84 3.2e-02 * 0 0.70 3.0e-01 0.02 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.41 * misc * -74 B0136+57 J0139+5814 01:39:19.7 1.2e-03 +58:14:31.8 1.7e-02 -19.110 7.0e-02 -16.600 7.0e-02 0.370 4.0e-02 52275.00 129.216 -4.044 0.272451 1.5e-11 1.07e-14 1.2e-19 1.600e-26 2.5e-26 * 0 49289.00 73.81 7.6e-04 * 0 28.00 2.0e+00 4.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 * gb1,gb2,gb3,gb4,gbncc * -75 B0138+59 J0141+6009 01:41:39.9 7.6e-03 +60:09:32.3 6.7e-02 * 0 * 0 * 0 49293.00 129.147 -2.105 1.222949 1.8e-12 3.91e-16 1.4e-20 2.700e-28 1.6e-28 * 0 49293.00 34.93 4.0e-03 * 0 49.00 5.0e+00 4.50 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.30 * misc,gb3,gb4,gbncc * - -76 J0141+63 J0141+63 01:41 2.0e+00 +63:08 8.0e+00 * 0 * 0 * 0 56292.00 128.497 0.798 0.046686 4.9e-07 * 0 * 0 * 0 56292.00 272.60 4.0e-01 * 0 1.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.77 * gbncc * -77 J0146+31 J0146+31 01:46:15 4.0e+01 +31:04 1.0e+01 * 0 * 0 * 0 57022.00 136.532 -30.353 0.938100 0 * 0 * 0 * 0 57022.00 25.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.83 * misc * -78 J0146+6145 J0146+6145 01:46:22.4 1.0e-01 +61:45:02.8 7.0e-01 -4.100 1.0e+00 1.900 1.0e+00 * 0 49031.00 129.384 -0.431 8.688994 4.0e-07 1.99e-12 5.0e-14 * 0 * 0 55762.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 XRS:4U_0142+61 misc AXP,NRAD -79 B0144+59 J0147+5922 01:47:44.6 1.7e-03 +59:22:03.2 1.5e-02 * 0 * 0 * 0 53160.00 130.059 -2.723 0.196321 1.6e-13 2.57e-16 8.0e-21 3.390e-26 1.2e-27 * 0 54011.00 40.11 3.0e-03 * 0 6.60 5.0e-01 2.10 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.58 * gb3 * -80 B0148-06 J0151-0635 01:51:22.7 1.1e-02 -06:35:02.8 4.0e-01 15.000 4.7e+01 -30.000 3.4e+01 * 0 49347.00 160.368 -65.004 1.464665 7.0e-12 4.43e-16 5.0e-20 5.400e-27 4.0e-28 * 0 49347.00 25.66 3.0e-02 * 0 38.00 1.5e+01 1.30 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * mol2,pks70 * - -81 J0152+0948 J0152+0948 01:52:23.7 5.0e-02 +09:48:10 2.0e+00 * 0 * 0 * 0 52858.00 146.812 -50.221 2.746647 1.0e-10 1.70e-15 4.0e-18 * 0 * 0 52858.00 22.88 1.2e-02 * 0 0.91 3.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * ar4 * -82 B0149-16 J0152-1637 01:52:10.8 1.7e-03 -16:37:52.9 4.0e-02 3.100 1.2e+00 -27.000 2.0e+00 * 0 48227.00 179.305 -72.456 0.832742 1.3e-12 1.30e-15 6.0e-21 -4.980e-27 1.2e-28 * 0 48227.00 11.93 4.0e-05 * 0 20.00 4.0e+00 1.50 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * mol2,pks70 * -83 J0156+04 J0156+04 01:56:01 1.1e+02 +04:02 8.0e+00 * 0 * 0 * 0 * 151.975 -55.155 * 0 * 0 * 0 * 0 * 27.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 RRAT[dsm+16] -84 B0153+39 J0156+3949 01:56:55.2 2.1e-01 +39:49:29 4.1e+00 * 0 * 0 * 0 49701.00 136.369 -21.332 1.811561 1.0e-10 1.52e-16 1.0e-18 1.300e-27 3.7e-27 * 0 49701.00 59.83 1.1e-02 * 0 4.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * gb2 * -85 B0154+61 J0157+6212 01:57:49.9 2.0e-02 +62:12:25.9 1.7e-01 * 0 * 0 * 0 49709.00 130.586 0.326 2.351745 7.0e-11 1.89e-13 5.0e-19 -2.190e-26 1.9e-27 * 0 49709.00 30.21 3.0e-02 * 0 6.50 8.0e-01 1.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.39 * jb1,gb3,gbncc * - -86 J0158+21 J0158+21 01:58:29 3.2e+01 +21:08 8.0e+00 * 0 * 0 * 0 55387.00 143.208 -39.084 0.505300 0 * 0 * 0 * 0 55387.00 20.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * ar327 * -87 J0201+7005 J0201+7005 02:01:41.3 7.0e-03 +70:05:18.1 6.0e-02 * 0 * 0 * 0 56777.00 128.889 8.033 1.349184 1.0e-11 5.51e-15 1.5e-18 * 0 * 0 56777.00 21.03 2.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.17 * gbncc RRAT -88 J0205+6449 J0205+6449 02:05:37.9 1.5e-04 +64:49:41.3 1.0e-03 -1.400 1.6e-01 0.540 1.6e-01 * 0 55487.00 130.719 3.084 0.065716 9.0e-14 1.94e-13 4.0e-21 5.852e-21 5.0e-26 * 0 54114.46 140.70 3.0e-01 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.20 SNR:PWN:3C58,GRS:2FGL_J0205.8+6448[naa+1 misc HE -89 B0203-40 J0206-4028 02:06:01.2 9.0e-03 -40:28:04.3 1.4e-01 -10.000 2.5e+01 75.000 3.5e+01 * 0 46902.00 258.595 -69.633 0.630550 6.0e-12 1.20e-15 5.0e-19 * 0 * 0 46800.00 12.90 1.2e+00 * 0 11.00 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.26 * mol2,pks70 * -90 J0211-8159 J0211-8159 02:11:59.0 3.0e-01 -81:59:36.2 3.0e-01 * 0 * 0 * 0 49525.14 299.592 -34.606 1.077333 8.0e-10 2.90e-16 2.0e-17 * 0 * 0 49525.14 24.36 3.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * pks70 * - -91 J0212+5222 J0212+5222 02:12:52.2 6.0e-01 +52:22:45 1.3e+01 * 0 * 0 * 0 56375.00 135.332 -8.521 0.376386 1.0e-09 6.60e-15 3.0e-16 * 0 * 0 56375.00 38.24 4.5e-04 * 0 4.10 0 0.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.56 * htru_eff,gbncc * -92 J0214+5222 J0214+5222 02:14:55.2 3.4e-03 +52:22:40.9 1.9e-01 * 0 * 0 * 0 55974.00 135.632 -8.423 0.024575 2.2e-13 2.99e-19 1.0e-20 * 0 * 0 55974.00 22.04 3.4e-03 * 0 0.90 0 * 0 BT 56126.6100 1.0e-02 512.0397 3.0e-04 174.5658 2.0e-04 210.59 1.0e-02 5.328e-03 5.0e-07 * 0 * 0 * 0 1.16 * gbncc * -93 J0215+6218 J0215+6218 02:15:56.6 9.5e-03 +62:18:33.3 9.8e-02 * 0 * 0 * 0 51341.00 132.575 1.030 0.548880 3.0e-12 6.62e-16 3.0e-20 3.200e-26 6.0e-27 * 0 51341.00 84.00 5.0e-02 * 0 14.50 0 3.70 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * misc,gbncc * -94 J0218+4232 J0218+4232 02:18:06.3 4.0e-06 +42:32:17.3 8.0e-05 5.350 5.0e-02 -3.740 1.2e-01 0.160 9.0e-02 55849.10 139.508 -17.527 0.002323 8.0e-17 7.74e-20 7.0e-25 2.800e-26 8.8e-26 * 0 55000.00 61.25 5.0e-03 * 0 35.00 5.0e+00 0.90 2.0e-01 ELL1 * 0 2.0288 9.0e-11 1.9844 4.0e-07 48.58 0.0e+00 6.801e-06 0.0e+00 49150.6089 3.0e-07 5.100e-06 4.0e-07 4.500e-06 4.0e-07 3.15 GRS:2FGL_J0218.1+4233[naa+12] misc,gbncc HE[khvb98,aaa+09f] -95 J0220+36 J0220+36 02:20:50 6.0e+01 +36:22 1.5e+01 * 0 * 0 * 0 57022.00 142.376 -23.107 1.029700 0 * 0 * 0 * 0 57022.00 40.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.25 * misc * - -96 J0229+20 J0229+20 02:29:03 3.2e+01 +20:58 8.0e+00 * 0 * 0 * 0 55388.00 151.579 -36.417 0.806900 0 * 0 * 0 * 0 55388.00 27.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.09 * ar327 * -97 B0226+70 J0231+7026 02:31:13.9 2.6e-02 +70:26:33.8 1.7e-01 * 0 * 0 * 0 49692.00 131.155 9.181 1.466820 7.0e-12 3.11e-15 7.0e-20 1.900e-28 4.4e-28 * 0 49692.00 46.68 1.6e-03 * 0 2.40 2.0e-01 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.76 * gb2,gbncc * -98 J0241+16 J0241+16 02:41:46 3.1e+01 +16:04 8.0e+00 * 0 * 0 * 0 55668.00 157.964 -39.185 1.545400 0 * 0 * 0 * 0 55668.00 16.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.94 * ar327 * -99 J0242+62 J0242+62 02:42:35 3.0e+00 +62:56:50 3.6e+01 * 0 * 0 * 0 54100.00 135.187 2.751 0.592000 0 * 0 * 0 * 0 54100.00 4.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.22 * gb350 * -100 J0243+6027 J0243+6027 02:43 0 +60:27 0 * 0 * 0 * 0 54100.00 136.271 0.500 1.473000 0 * 0 * 0 * 0 54100.00 141.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.72 * gb350 * - -101 J0244+14 J0244+14 02:44:51 3.1e+01 +14:27 8.0e+00 * 0 * 0 * 0 56160.00 159.914 -40.140 2.128100 0 * 0 * 0 * 0 56160.00 31.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.80 * ar327 * -102 J0248+6021 J0248+6021 02:48:18.6 1.0e-03 +60:21:34.7 1.0e-02 48.000 1.0e+01 48.000 4.0e+00 * 0 54000.00 136.903 0.697 0.217094 5.0e-06 5.51e-14 5.0e-17 * 0 * 0 54000.00 370.00 1.0e+00 * 0 * 0 13.70 2.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 GRS:2FGL_J0248.1+6021[naa+12] misc HE[tpc+11] -103 J0251+26 J0251+26 02:51:08 6.7e+01 +26:05 1.5e+01 * 0 * 0 * 0 57022.00 153.912 -29.492 0.002540 0 * 0 * 0 * 0 57022.00 20.00 0 * 0 * 0 * 0 BT * 0 0.2040 0 0.0660 0 * 0 * 0 * 0 * 0 * 0 1.15 GRS:3FGL_J0251.1+2603[cck+16] FermiAssoc * -104 B0254-53 J0255-5304 02:55:56.2 8.0e-03 -53:04:21.3 8.0e-02 0.000 2.0e+01 70.000 1.5e+01 * 0 46916.00 269.862 -55.310 0.447708 3.0e-12 3.06e-17 3.0e-19 * 0 * 0 46800.00 15.90 5.0e-01 * 0 17.00 0 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.51 * mol1,mol2,pks70,ghrss * -105 J0303+22 J0303+22 03:03:00 6.0e+01 +22:48 1.5e+01 * 0 * 0 * 0 57022.00 158.585 -30.813 1.207000 0 * 0 * 0 * 0 57022.00 20.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * misc * - -106 B0301+19 J0304+1932 03:04:33.1 1.6e-02 +19:32:51.4 8.0e-01 6.000 7.0e+00 -37.000 4.0e+00 * 0 49289.00 161.135 -33.270 1.387584 3.0e-12 1.30e-15 2.0e-20 -2.450e-27 1.7e-28 * 0 49289.00 15.66 3.5e-04 * 0 27.00 3.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.74 * misc,mol2,gb4 * -107 J0308+74 J0308+74 03:08 0 +74:00 0 * 0 * 0 * 0 55196.00 132.090 13.608 0.003160 0 * 0 * 0 * 0 55196.00 6.35 0 * 0 0.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 GRS:2FGL_J0308.3+7442[naa+12] FermiAssoc HE -108 B0320+39 J0323+3944 03:23:26.6 1.2e-02 +39:44:52.9 3.0e-01 16.000 6.0e+00 -30.000 5.0e+00 * 0 49290.00 152.180 -14.338 3.032072 1.0e-11 6.36e-16 7.0e-20 6.700e-29 1.1e-28 * 0 49290.00 26.19 9.3e-04 * 0 34.00 7.0e+00 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.20 * gb1,gb2,gb4,gbncc * -109 J0324+5239 J0324+5239 03:24:55.4 4.0e-02 +52:39:31.3 2.0e-01 * 0 * 0 * 0 56100.00 145.094 -3.480 0.336620 3.0e-12 3.81e-16 3.0e-18 * 0 * 0 56100.00 115.46 2.9e-03 * 0 * 0 0.19 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.29 * htru_eff * -110 J0325+67 J0325+67 03:26 3.0e+00 +67:49 1.8e+01 * 0 * 0 * 0 56292.00 136.750 9.193 1.364741 6.2e-05 * 0 * 0 * 0 56292.00 65.00 2.0e+00 * 0 26.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * gbncc * - -111 J0329+1654 J0329+1654 03:29:08.5 3.0e-02 +16:54:02 2.0e+00 * 0 * 0 * 0 52225.00 168.499 -31.683 0.893320 1.0e-12 2.15e-16 6.0e-20 * 0 * 0 52225.00 40.82 3.6e-02 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.56 * ar4 * -112 B0329+54 J0332+5434 03:32:59.3 5.0e-03 +54:34:43.5 7.0e-02 17.000 3.0e-01 -9.500 4.0e-01 0.940 1.1e-01 46473.00 144.995 -1.221 0.714520 4.0e-12 2.05e-15 8.0e-21 5.300e-28 1.5e-28 * 0 46473.00 26.76 1.0e-04 * 0 1500.00 2.0e+02 203.00 5.7e+01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * misc,jb1,gb1,gb2,gb3,gb4 * -113 J0332+79 J0332+79 03:32:45 2.0e+01 +79:10 5.0e+00 * 0 * 0 * 0 56657.00 130.309 18.683 2.056210 6.0e-05 * 0 * 0 * 0 56657.00 16.67 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * gbncc RRAT -114 B0331+45 J0335+4555 03:35:16.6 1.4e-03 +45:55:53.4 2.5e-02 * 0 * 0 * 0 49912.00 150.348 -8.038 0.269201 1.3e-13 7.35e-18 1.0e-21 -3.700e-28 2.9e-28 * 0 49912.00 47.15 2.9e-04 * 0 6.00 2.0e+00 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.54 * gb2 * -115 J0337+1715 J0337+1715 03:37:43.8 1.3e-04 +17:15:14.8 2.0e-03 * 0 * 0 * 0 55920.00 169.990 -30.039 0.002733 9.0e-14 1.77e-20 9.0e-24 * 0 * 0 55920.00 21.32 3.0e-04 * 0 * 0 * 0 ELL1 * 0 1.6294 5.0e-09 1.2175 4.0e-08 97.62 0.0e+00 6.918e-04 0.0e+00 55920.4077 1.7e-08 6.857e-04 2.0e-08 -9.171e-05 2.0e-08 1.30 OPT:[rsa+14],XRS:[ska+16] gb350 * - -116 J0338+66 J0338+66 03:39 3.0e+00 +66:44 1.8e+01 * 0 * 0 * 0 56292.00 138.422 9.044 1.762000 1.5e-04 * 0 * 0 * 0 56292.00 67.00 2.0e+00 * 0 10.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * gbncc * -117 J0340+4130 J0340+4130 03:40:23.2 1.1e-05 +41:30:45.2 2.8e-04 * 0 * 0 0.700 5.0e-01 56675.00 153.783 -11.022 0.003299 1.7e-17 7.05e-21 1.2e-24 * 0 * 0 56675.00 49.59 1.6e-03 * 0 2.00 0 0.31 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.60 GRS:2FGL_J0340.4+4131[naa+12] FermiAssoc HE -118 J0341+5711 J0341+5711 03:41 0 +57:11 0 * 0 * 0 * 0 54100.00 144.371 1.546 1.888000 0 * 0 * 0 * 0 54100.00 100.00 0 * 0 364.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.03 * gb350,gbncc * -119 J0343-3000 J0343-3000 03:43:27.9 3.0e-02 -30:00:27.5 4.0e-01 * 0 * 0 * 0 52950.00 227.758 -52.338 2.597027 9.0e-11 5.70e-17 9.0e-18 * 0 * 0 52950.00 20.20 3.0e-01 * 0 * 0 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * pkshl * -120 B0339+53 J0343+5312 03:43:12.9 4.1e-02 +53:12:53.4 6.3e-01 * 0 * 0 * 0 49309.00 147.017 -1.428 1.934478 1.5e-11 1.34e-14 1.5e-19 -1.800e-27 6.0e-28 * 0 49309.00 67.30 6.0e-02 * 0 3.70 6.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.71 * gb1,gb2 * - -121 J0348+0432 J0348+0432 03:48:43.6 4.0e-06 +04:32:11.4 2.0e-04 4.040 1.6e-01 3.500 6.0e-01 * 0 56000.00 183.337 -36.774 0.039123 7.0e-16 2.41e-19 5.0e-23 * 0 * 0 56000.00 40.46 1.1e-04 -0.001 1.4e-04 * 0 * 0 ELL1 * 0 0.1024 7.0e-12 0.1410 7.0e-08 53.62 0.0e+00 2.360e-06 0.0e+00 56000.0848 1.1e-08 1.900e-06 1.0e-06 1.400e-06 1.0e-06 2.10 * gb350 * -122 J0357+3205 J0357+3205 03:57:52.5 2.0e-01 +32:05:25 6.0e+00 117.000 2.0e+01 115.000 2.0e+01 * 0 54946.00 162.760 -16.006 0.444104 6.0e-10 1.30e-14 2.0e-17 * 0 * 0 54946.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.83 GRS:2FGL_J0357.8+3205[naa+12] FermiBlind NRAD -123 B0353+52 J0357+5236 03:57:44.8 1.5e-03 +52:36:57.7 2.5e-02 * 0 * 0 * 0 49912.00 149.099 -0.522 0.197030 3.0e-13 4.77e-16 3.0e-21 1.030e-26 1.2e-27 * 0 49912.00 103.71 4.0e-03 * 0 12.00 2.0e+00 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.03 * gb2,gbncc * -124 J0358+42 J0358+42 03:58 1.0e+00 +42:06 9.0e+00 * 0 * 0 * 0 56292.00 155.987 -8.492 0.226478 5.0e-06 * 0 * 0 * 0 56292.00 46.00 1.0e+00 * 0 5.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 * gbncc * -125 B0355+54 J0358+5413 03:58:53.7 2.0e-04 +54:13:13.7 3.0e-03 9.300 5.0e-01 8.300 8.0e-01 0.910 1.6e-01 54096.00 148.190 0.811 0.156384 8.0e-12 4.39e-15 5.0e-20 4.100e-25 9.0e-27 * 0 54096.00 57.14 3.0e-04 * 0 46.00 7.0e+00 23.00 7.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 XRS:PWN[mvk+06] misc,jb1,gb1,gb2,gb3,gb4,gbncc HE[to07] - -126 J0358+66 J0358+66 03:58 3.0e+00 +66:40 1.8e+01 * 0 * 0 * 0 56292.00 139.944 10.176 0.091507 6.3e-07 * 0 * 0 * 0 56292.00 62.30 4.0e-01 * 0 5.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.89 * gbncc * -127 J0359+5414 J0359+5414 03:59:26.0 2.0e-02 +54:14:55.7 3.0e-01 * 0 * 0 * 0 55716.00 148.231 0.883 0.079427 1.3e-12 1.67e-14 7.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J0359.5+5413[aaa+15] FermiBlind NRAD -128 B0403-76 J0401-7608 04:01:51.6 7.0e-02 -76:08:13.8 3.0e-01 * 0 * 0 * 0 46902.00 290.313 -35.907 0.545253 1.6e-11 1.54e-15 1.2e-18 * 0 * 0 46800.00 21.70 1.0e-01 * 0 19.00 0 14.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * mol2,pks70 * -129 B0402+61 J0406+6138 04:06:30.0 3.0e-03 +61:38:41.0 3.0e-02 * 0 * 0 * 0 53784.00 144.025 7.046 0.594576 8.0e-13 5.57e-15 3.0e-20 * 0 * 0 53784.00 65.41 3.4e-03 * 0 15.00 1.0e+00 2.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * gb1,gb2,gb3,gb4 * -130 J0407+1607 J0407+1607 04:07:54.9 3.0e-03 +16:07:16.4 2.0e-01 * 0 * 0 * 0 52799.00 176.618 -25.656 0.025702 2.0e-14 7.90e-20 3.0e-21 * 0 * 0 52799.00 35.65 2.0e-02 * 0 10.20 0 * 0 BT 52774.6900 3.0e-02 669.0704 1.0e-04 106.4503 2.0e-05 291.74 2.0e-02 9.368e-04 6.0e-07 * 0 * 0 * 0 1.34 * ar4 * - -131 J0408+551 J0408+551 04:08 0 +55 0 * 0 * 0 * 0 54100.00 148.663 2.267 1.837000 0 * 0 * 0 * 0 54100.00 55.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * gb350 * -132 J0408+552 J0408+552 04:08 0 +55 0 * 0 * 0 * 0 54100.00 148.663 2.267 0.754000 0 * 0 * 0 * 0 54100.00 64.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * gb350 * -133 J0410-31 J0410-31 04:10:39 3.3e+01 -31:07:29 4.2e+02 * 0 * 0 * 0 55196.00 230.586 -46.671 1.878500 2.0e-04 * 0 * 0 * 0 55196.00 9.20 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 * htru_pks RRAT -134 J0413+58 J0413+58 04:13 0 +58 0 * 0 * 0 * 0 54100.00 147.122 4.934 0.687000 0 * 0 * 0 * 0 54100.00 57.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * gb350 * -135 B0410+69 J0415+6954 04:15:55.6 3.4e-03 +69:54:09.8 2.5e-02 * 0 * 0 * 0 49874.00 138.911 13.667 0.390715 3.0e-13 7.66e-17 3.0e-21 1.800e-27 4.0e-28 * 0 49874.00 27.45 3.8e-04 * 0 6.40 3.0e-01 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * gb2,gb4,gbncc * - -136 J0417+35 J0417+35 04:17:43 1.6e+01 +35:45 5.0e+00 * 0 * 0 * 0 49717.00 163.219 -10.518 0.654400 3.0e-05 * 0 * 0 * 0 49717.00 48.53 1.2e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 * ar4 * -137 J0417+61 J0417+61 04:17 3.0e+00 +61:08 1.8e+01 * 0 * 0 * 0 56292.00 145.299 7.540 0.440283 1.3e-05 * 0 * 0 * 0 56292.00 71.00 2.0e+00 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.85 * gbncc * -138 J0418-4154 J0418-4154 04:18:04.2 2.0e-01 -41:54:10.8 6.0e-01 * 0 * 0 * 0 57055.00 246.260 -45.681 0.757119 6.0e-11 9.74e-16 6.0e-17 * 0 * 0 57055.00 24.54 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.57 * ghrss * -139 J0418+5732 J0418+5732 04:18:33.8 4.3e-02 +57:32:22.9 3.5e-01 * 0 * 0 * 0 55045.00 147.979 5.119 9.078388 5.0e-08 4.10e-15 1.0e-16 * 0 * 0 54993.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_0418+5729 misc AXP,NRAD -140 J0419+44 J0419+44 04:19 0 +44 0 * 0 * 0 * 0 54100.00 157.525 -4.494 1.241000 0 * 0 * 0 * 0 54100.00 71.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.69 * gb350 * - -141 J0420-5022 J0420-5022 04:20:01.9 4.0e-02 -50:22:48.1 6.0e-01 * 0 * 0 * 0 55430.60 258.136 -44.386 3.453004 1.2e-08 2.76e-14 1.0e-16 * 0 * 0 55430.60 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J0420.0-5022[hmp98],OPT:[kkvh11] misc XINS,NRAD -142 J0421-0345 J0421-0345 04:21:33.5 1.5e-02 -03:45:06.6 6.0e-01 * 0 * 0 * 0 50847.00 197.504 -34.757 2.161308 1.5e-11 1.16e-15 1.5e-19 1.900e-27 1.0e-27 * 0 50847.00 44.61 9.0e-02 * 0 6.00 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * pks70 * -143 J0421+32 J0421+32 04:21:30 6.0e+01 +32:40 1.5e+01 * 0 * 0 * 0 57022.00 166.027 -12.111 0.900500 0 * 0 * 0 * 0 57022.00 75.00 1.5e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * misc * -144 J0426+4933 J0426+4933 04:26:06.8 1.0e-03 +49:33:38.4 4.0e-02 * 0 * 0 * 0 56100.00 154.436 0.288 0.922475 2.0e-12 3.93e-14 2.0e-19 * 0 * 0 56100.00 85.00 0 * 0 * 0 0.19 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * gb350,htru_eff * -145 J0435+2749 J0435+2749 04:35:51.8 4.0e-03 +27:49:01.7 4.0e-01 * 0 * 0 * 0 53400.00 171.842 -13.071 0.326279 1.4e-12 8.17e-18 1.1e-19 * 0 * 0 53400.00 53.19 2.0e-02 * 0 2.00 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * ar4 * - -146 J0437-4715 J0437-4715 04:37:15.8 6.0e-07 -47:15:09.1 7.0e-06 121.439 2.0e-03 -71.475 2.0e-03 6.370 9.0e-02 54500.00 253.394 -41.963 0.005757 1.7e-17 5.73e-20 1.7e-25 * 0 * 0 54500.00 2.64 7.0e-05 * 0 550.00 1.0e+02 149.00 3.6e+01 T2 54501.4671 3.0e-04 5.7410 4.0e-07 3.3667 5.0e-08 1.36 1.7e-02 1.918e-05 1.5e-09 * 0 * 0 * 0 0.16 OPT:[bbm+95],GRS:2FGL_J0437.3-4712[naa+1 pks70,pkshl HE[bt93,aaa+09f] -147 J0447-04 J0447-04 04:47 1.0e+00 -04:35 1.8e+01 * 0 * 0 * 0 56657.00 202.072 -29.657 2.188190 2.0e-05 * 0 * 0 * 0 56657.00 29.83 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.67 * gb350 RRAT -148 J0448-2749 J0448-2749 04:48:41.5 5.4e-03 -27:49:46.7 1.1e-01 * 0 * 0 * 0 51009.00 228.347 -37.918 0.450448 1.7e-12 1.48e-16 1.9e-20 -1.800e-28 4.0e-27 * 0 51009.00 26.22 4.0e-02 * 0 2.00 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.81 * pks70,pkshl * -149 J0449-7031 J0449-7031 04:49:05.6 5.0e-02 -70:31:31.7 3.0e-01 * 0 * 0 * 0 52465.00 282.286 -35.512 0.479164 1.4e-11 3.37e-15 4.0e-18 * 0 * 0 52465.00 65.83 7.0e-02 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -150 B0447-12 J0450-1248 04:50:08.7 3.0e-03 -12:48:07.1 9.0e-02 * 0 * 0 * 0 49338.00 211.075 -32.629 0.438014 8.0e-13 1.03e-16 6.0e-21 -9.300e-28 5.0e-28 * 0 49338.00 37.04 1.0e-02 * 0 11.00 1.0e+00 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.77 * mol2,pks70 * - -151 J0451-67 J0451-67 04:51:50 7.0e+01 -67:18 7.0e+00 * 0 * 0 * 0 52817.00 278.410 -36.290 0.245454 7.0e-08 0.00e+00 2.0e-15 * 0 * 0 52817.00 45.00 1.0e+00 * 0 * 0 0.05 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -152 B0450-18 J0452-1759 04:52:34.1 1.0e-04 -17:59:23.3 2.0e-03 8.900 2.2e+00 10.600 1.9e+00 0.600 1.4e+00 52275.00 217.078 -34.087 0.548939 3.0e-12 5.75e-15 1.6e-20 3.400e-27 9.0e-28 * 0 49289.00 39.90 3.0e-03 * 0 82.00 1.0e+01 5.30 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * mol1,mol2,pks70 * -153 J0453+1559 J0453+1559 04:53:45.4 5.0e-05 +15:59:21.3 5.9e-03 -5.500 5.0e-01 -6.000 4.2e+00 * 0 56400.00 184.125 -17.137 0.045782 3.3e-15 1.86e-19 8.0e-23 * 0 * 0 56400.00 30.31 3.0e-04 * 0 * 0 * 0 DDH 56344.0032 9.0e-07 4.0725 4.0e-09 14.4668 4.2e-06 223.07 8.0e-05 1.125e-01 8.0e-08 * 0 * 0 * 0 0.52 * ar327 * -154 B0450+55 J0454+5543 04:54:07.7 1.0e-04 +55:43:41.4 2.0e-03 53.340 6.0e-02 -17.560 1.4e-01 0.840 5.0e-02 52275.00 152.617 7.547 0.340729 1.0e-11 2.37e-15 7.0e-20 -1.790e-25 1.4e-26 * 0 49910.00 14.59 1.5e-04 * 0 59.00 9.0e+00 13.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.18 * gb1,gb2,gb4,gbncc * -155 B0456-69 J0455-6951 04:55:47.5 8.0e-02 -69:51:34.3 6.0e-01 * 0 * 0 * 0 48757.00 281.290 -35.187 0.320423 1.2e-11 1.02e-14 1.5e-18 * 0 * 0 48757.00 94.89 1.4e-01 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -156 J0456-69 J0456-69 04:56:30 0 -69:10 0 * 0 * 0 * 0 52038.00 280.457 -35.334 0.117073 1.5e-08 * 0 * 0 * 0 52038.00 103.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -157 J0456-7031 J0456-7031 04:56:02.5 3.0e-01 -70:31:06.6 1.2e+00 * 0 * 0 * 0 52560.00 282.049 -34.966 0.800132 1.0e-10 3.67e-14 3.0e-17 * 0 * 0 52560.00 100.30 3.0e-01 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -158 J0457+23 J0457+23 04:57:06 7.0e+00 +23:34:00 1.0e+02 * 0 * 0 * 0 56160.00 178.305 -12.005 0.504900 0 * 0 * 0 * 0 56160.00 59.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * ar327 * -159 J0457-6337 J0457-6337 04:57:07.7 8.0e-02 -63:37:30.4 9.0e-01 * 0 * 0 * 0 52465.00 273.816 -36.701 2.497012 1.9e-10 2.10e-16 3.0e-17 * 0 * 0 52465.00 27.50 1.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * misc * -160 J0457-69 J0457-69 04:57:02 0 -69:46 0 * 0 * 0 * 0 55383.00 281.143 -35.113 0.231390 7.3e-08 * 0 * 0 * 0 55383.00 91.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -161 J0458-0505 J0458-0505 04:58:37.1 2.6e-02 -05:05:05.1 4.0e+00 * 0 * 0 * 0 55178.00 204.139 -27.348 1.883480 1.8e-10 5.30e-16 1.5e-16 * 0 * 0 55178.00 47.81 3.2e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.94 * gb350 * -162 J0458-67 J0458-67 04:58:59 0 -67:43 0 * 0 * 0 * 0 51810.00 278.670 -35.518 1.133900 1.8e-06 * 0 * 0 * 0 51810.00 97.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -163 J0459-0210 J0459-0210 04:59:51.9 6.7e-03 -02:10:06.6 2.1e-01 * 0 * 0 * 0 50845.00 201.444 -25.678 1.133076 6.0e-12 1.40e-15 6.0e-20 -1.900e-27 1.3e-27 * 0 50845.00 21.02 3.0e-02 * 0 11.00 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 * pks70 * -164 J0501+4516 J0501+4516 05:01:06.7 1.0e-02 +45:16:33.9 1.1e-01 * 0 * 0 * 0 54750.00 161.547 1.949 5.762097 4.0e-08 5.82e-12 3.0e-14 6.900e-21 3.0e-22 * 0 54750.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 SNR:G160.9+2.6,OPT:[dml+11] misc AXP,NRAD -165 B0458+46 J0502+4654 05:02:04.5 4.0e-03 +46:54:06.0 9.0e-02 -8.000 3.0e+00 8.000 5.0e+00 * 0 48717.00 160.363 3.077 0.638565 3.0e-12 5.58e-15 1.7e-20 1.130e-26 5.0e-28 * 0 48717.00 41.83 2.0e-02 * 0 10.80 7.0e-01 2.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * gb1,gb3,gbncc * - -166 B0502-66 J0502-6617 05:02:50.5 1.0e-01 -66:17:58.8 9.0e-01 * 0 * 0 * 0 48771.00 276.869 -35.504 0.691251 4.0e-11 2.31e-14 6.0e-18 * 0 * 0 48771.00 68.90 3.0e-01 * 0 1.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -167 J0509+08 J0509+08 05:09:24 7.0e+00 +08:57:00 1.0e+02 * 0 * 0 * 0 56401.00 192.482 -17.919 0.004100 0 * 0 * 0 * 0 56401.00 38.00 0 * 0 5.00 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 * ar327 * -168 J0510+38 J0510+38 05:09:59 4.0e+01 +38:12 8.0e+00 * 0 * 0 * 0 56292.00 168.184 -1.009 0.076564 4.4e-07 * 0 * 0 * 0 56292.00 69.00 1.0e+00 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.56 * gbncc * -169 J0511-6508 J0511-6508 05:11:56.5 2.0e-02 -65:08:36.5 3.0e-01 * 0 * 0 * 0 52409.00 275.250 -34.827 0.322062 8.0e-12 2.06e-16 4.0e-18 * 0 * 0 52409.00 25.66 8.0e-02 * 0 * 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.82 * misc * -170 J0514-4002A J0514-4002A 05:14:06.6 2.0e-04 -40:02:48.8 2.0e-03 * 0 * 0 * 0 53623.16 244.514 -35.036 0.004991 3.0e-15 1.17e-21 1.3e-22 * 0 * 0 53623.16 52.15 6.0e-04 * 0 0.28 6.0e-02 * 0 BT 53623.1551 4.0e-07 18.7852 4.0e-08 36.2966 9.0e-06 82.27 1.8e-05 8.880e-01 3.0e-07 * 0 * 0 * 0 13.20 GC:NGC1851 misc * - -171 J0514-4407 J0514-4407 05:14:51.8 1.0e-01 -44:07:06.5 8.4e+00 * 0 * 0 * 0 56657.00 249.484 -35.364 0.302200 0 * 0 * 0 * 0 56657.00 15.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.99 * ghrss * -172 J0517+2212 J0517+2212 05:17:17.1 2.0e-03 +22:12:51.9 2.0e-01 * 0 * 0 * 0 53400.00 182.176 -9.012 0.222367 7.0e-13 1.16e-17 1.5e-21 * 0 * 0 53400.00 18.70 1.4e-02 * 0 7.00 0 0.46 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 * ar4 * -173 J0519+44 J0519+44 05:19 0 +44 0 * 0 * 0 * 0 54100.00 164.464 3.754 0.515000 0 * 0 * 0 * 0 54100.00 52.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * gb350 * -174 J0519+54 J0519+54 05:20 2.0e+00 +54:25 1.8e+01 * 0 * 0 * 0 56292.00 155.893 9.768 0.340194 1.2e-05 * 0 * 0 * 0 56292.00 43.00 1.0e+00 * 0 3.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.45 * gbncc * -175 J0519-6932 J0519-6932 05:19:46.9 1.2e-02 -69:32:23.4 7.0e-02 * 0 * 0 * 0 52466.00 280.287 -33.254 0.263212 3.0e-12 6.97e-16 5.0e-19 * 0 * 0 52466.00 119.40 5.0e-01 * 0 * 0 0.32 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -176 J0520-2553 J0520-2553 05:20:36.1 3.4e-03 -25:53:12.2 1.1e-01 * 0 * 0 * 0 51216.00 228.434 -30.543 0.241642 7.0e-13 3.01e-17 9.0e-21 4.900e-28 6.0e-27 * 0 51216.00 33.77 3.0e-02 * 0 8.00 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 * pks70,pkshl * -177 J0521-68 J0521-68 05:21:44 0 -68:35 0 * 0 * 0 * 0 51871.00 279.124 -33.262 0.433421 3.0e-07 * 0 * 0 * 0 51871.00 136.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -178 J0522-6847 J0522-6847 05:22:23.0 8.0e-02 -68:47:02.2 3.0e-01 * 0 * 0 * 0 52503.00 279.348 -33.168 0.674532 3.0e-11 1.77e-14 1.4e-17 * 0 * 0 52503.00 126.45 7.0e-02 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -179 B0523+11 J0525+1115 05:25:56.4 1.1e-03 +11:15:19.0 7.0e-02 30.000 7.0e+00 -4.000 5.0e+00 * 0 48262.00 192.695 -13.246 0.354438 1.3e-13 7.36e-17 6.0e-22 -3.300e-28 7.0e-29 * 0 48262.00 79.42 1.3e-02 * 0 19.50 9.0e-01 1.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.84 * mol2,gb4 * -180 J0525-6607 J0525-6607 05:26:00.9 1.0e-01 -66:04:36.3 6.0e-01 * 0 * 0 * 0 52153.00 276.087 -33.246 8.047000 2.0e-04 6.50e-11 5.0e-12 * 0 * 0 52153.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_0526-66,SNR:N49(?)[ekl+80] misc AXP,NRAD - -181 B0525+21 J0528+2200 05:28:52.2 9.0e-03 +22:00:04 2.0e+00 -20.000 1.9e+01 7.000 9.0e+00 * 0 53100.00 183.856 -6.896 3.745539 3.0e-11 4.01e-14 1.5e-18 * 0 * 0 54200.00 50.87 1.3e-03 * 0 57.00 5.0e+00 9.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 * gb1,gb3,gb4 * -182 B0529-66 J0529-6652 05:29:50.9 1.3e-01 -66:52:38.2 9.0e-01 * 0 * 0 * 0 48739.00 276.974 -32.763 0.975725 6.0e-11 1.55e-14 6.0e-18 * 0 * 0 48739.00 103.20 3.0e-01 * 0 * 0 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -183 J0532-6639 J0532-6639 05:32:59.5 6.0e-02 -66:39:37.3 5.0e-01 * 0 * 0 * 0 52462.00 276.675 -32.481 0.642743 3.0e-11 5.35e-15 1.3e-17 * 0 * 0 52462.00 69.30 1.8e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -184 J0532-69 J0532-69 05:32:04 0 -69:46 0 * 0 * 0 * 0 55420.00 280.333 -32.163 1.149196 1.4e-06 * 0 * 0 * 0 55420.00 124.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -185 J0533+0402 J0533+0402 05:33:25.8 1.0e-02 +04:02:00.5 4.0e-01 * 0 * 0 * 0 49800.00 200.084 -15.326 0.963018 2.0e-11 1.60e-16 1.0e-18 * 0 * 0 49800.00 83.70 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * gb4 * - -186 J0533+67 J0533+67 05:33 0 +67 0 * 0 * 0 * 0 55561.00 145.652 17.640 0.004390 0 * 0 * 0 * 0 55561.00 57.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.28 GRS:2FGL_J0533.9+6759 FermiAssoc * -187 B0531+21 J0534+2200 05:34:31.9 5.0e-03 +22:00:52.0 6.0e-02 -14.700 8.0e-01 2.000 8.0e-01 * 0 40706.00 184.558 -5.784 0.033392 1.2e-09 4.21e-13 3.0e-18 1.115e-20 5.0e-24 -2.730e-30 4.0e-32 48442.50 56.77 2.4e-04 * 0 550.00 1.0e+02 14.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 SNR:PWN:Crab[ccl+69],GRS:2FGL_J0534.5+22 misc,ar4,gb4 HE[cdt69,fhm+69,hjm+70] -188 J0534-6703 J0534-6703 05:34:36.1 1.0e-01 -67:03:48.8 8.0e-01 * 0 * 0 * 0 52410.00 277.129 -32.279 1.817565 1.7e-10 4.25e-13 6.0e-17 * 0 * 0 52410.00 94.70 1.2e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -189 J0535-66 J0535-66 05:35:40 0 -66:52 0 * 0 * 0 * 0 51393.00 276.884 -32.197 0.210524 3.0e-08 * 0 * 0 * 0 51393.00 75.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -190 J0535-6935 J0535-6935 05:35 2.0e+00 -69:35 7.0e+00 * 0 * 0 * 0 52200.00 280.076 -31.936 0.200511 2.0e-08 1.15e-14 3.0e-16 * 0 * 0 52200.00 93.70 4.0e-01 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -191 B0538-75 J0536-7543 05:36:30.7 8.0e-02 -75:43:56.7 2.0e-01 * 0 * 0 * 0 46972.00 287.162 -30.821 1.245856 5.0e-11 5.65e-16 3.0e-18 * 0 * 0 48409.00 18.58 2.0e-02 * 0 75.00 0 13.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.14 * mol2,pks70 * -192 J0537-69 J0537-69 05:37:43 0 -69:21 0 * 0 * 0 * 0 55420.00 279.768 -31.730 0.112613 2.0e-08 * 0 * 0 * 0 55420.00 273.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -193 J0537-6910 J0537-6910 05:37:47.4 1.1e-01 -69:10:19.8 6.0e-01 * 0 * 0 * 0 52061.33 279.559 -31.745 0.016122 4.0e-13 5.18e-14 1.1e-20 6.100e-21 3.0e-22 * 0 52061.33 * 0 * 0 * 0 0.00 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC,SNR:N157B misc NRAD -194 J0538+2817 J0538+2817 05:38:25.0 1.0e-04 +28:17:09.1 2.0e-03 -23.570 1.0e-01 52.870 1.0e-01 0.720 1.2e-01 52275.00 179.719 -1.686 0.143158 1.1e-13 3.67e-15 1.3e-21 -6.370e-25 2.0e-27 * 0 51086.00 39.57 1.0e-03 0.008 1.0e-03 8.20 2.0e-01 1.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.30 SNR:S147[acj+96] ar4,gb4 HE[mkz+03] -195 J0540+3207 J0540+3207 05:40:37.1 1.0e-03 +32:07:37.3 1.0e-01 * 0 * 0 * 0 54780.00 176.719 0.761 0.524271 5.0e-13 4.48e-16 2.0e-20 * 0 * 0 54780.00 61.97 4.0e-02 * 0 * 0 0.34 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * palfa * - -196 B0540-69 J0540-6919 05:40:11.2 9.0e-03 -69:19:54.1 5.0e-02 * 0 * 0 * 0 51722.00 279.717 -31.516 0.050570 1.8e-12 4.79e-13 3.0e-19 3.772e-21 5.0e-24 * 0 52910.00 146.50 2.0e-01 * 0 0.00 7.0e-04 0.02 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC,SNR:0540-693 misc HE[mp85] -197 J0540-7125 J0540-7125 05:40:30.8 3.0e-01 -71:25:31.4 5.0e-01 * 0 * 0 * 0 49527.17 282.148 -31.236 1.286015 3.0e-09 8.20e-16 8.0e-17 * 0 * 0 49527.17 29.41 7.0e-02 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.55 * pks70 * -198 J0542-68 J0542-68 05:42:35 0 -68:16 0 * 0 * 0 * 0 51975.00 278.449 -31.406 0.425189 7.2e-07 * 0 * 0 * 0 51975.00 114.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -199 B0540+23 J0543+2329 05:43:09.6 1.1e-02 +23:29:05 5.0e+00 19.000 7.0e+00 12.000 8.0e+00 * 0 48892.00 184.363 -3.318 0.245975 1.9e-12 1.54e-14 1.9e-20 2.420e-25 3.0e-27 * 0 48892.00 77.70 1.0e-03 * 0 29.00 1.0e+00 9.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.56 XRS:[pb15] jb1,gb1,ar4,gb4 * -200 J0543-6851 J0543-6851 05:43:52.7 1.1e-01 -68:51:25.3 9.0e-01 * 0 * 0 * 0 52410.00 279.125 -31.235 0.708954 6.0e-11 3.94e-15 3.0e-17 * 0 * 0 52410.00 131.00 4.0e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -201 J0544+20 J0544+20 05:44:12 1.2e+02 +20:50 8.0e+00 * 0 * 0 * 0 * 186.756 -4.495 * 0 * 0 * 0 * 0 * 56.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.28 * ar327 RRAT[dsm+16] -202 J0545-03 J0545-03 05:45 2.0e+00 -03:10 3.6e+01 * 0 * 0 * 0 56657.00 208.094 -16.213 1.073930 2.0e-05 * 0 * 0 * 0 56657.00 67.20 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.06 * gb350 RRAT -203 J0546+2441 J0546+2441 05:46:28.7 3.0e-02 +24:41:21 6.0e+00 * 0 * 0 * 0 52914.00 183.728 -2.045 2.843850 6.0e-11 7.65e-15 3.0e-17 * 0 * 0 52914.00 73.81 3.0e-02 * 0 2.65 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * ar4 * -204 J0550+09 J0550+09 05:50:28 1.1e+02 +09:51 8.0e+00 * 0 * 0 * 0 57022.00 197.055 -8.774 1.745000 0 * 0 * 0 * 0 57022.00 86.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * ar327 RRAT[dsm+16] -205 J0554+3107 J0554+3107 05:54:05.0 3.0e-02 +31:07:41 4.0e+00 * 0 * 0 * 0 55214.00 179.058 2.697 0.464961 1.6e-11 1.43e-13 1.1e-18 1.800e-24 2.0e-25 * 0 55214.00 * 0 * 0 * 0 0.00 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SNR:G179.0+2.6(?)[pga+13] FermiBlind NRAD - -206 J0555+3948 J0555+3948 05:55 5.0e+00 +39:48 5.0e+00 * 0 * 0 * 0 56375.00 171.610 7.192 1.146906 2.0e-07 * 0 * 0 * 0 56375.00 37.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * htru_eff * -207 J0555-7056 J0555-7056 05:55:01.8 1.2e-01 -70:56:45.6 6.0e-01 * 0 * 0 * 0 52408.00 281.460 -30.119 0.827838 7.0e-11 5.96e-15 3.0e-17 * 0 * 0 52408.00 73.40 1.6e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -208 J0557+1550 J0557+1550 05:57:31.4 9.0e-05 +15:50:06.0 8.0e-03 * 0 * 0 * 0 56346.00 192.684 -4.309 0.002556 6.0e-16 7.35e-21 2.0e-23 * 0 * 0 56346.00 102.57 5.0e-04 * 0 * 0 0.05 6.0e-03 ELL1 * 0 4.8466 4.0e-09 4.0545 8.0e-07 90.55 0.0e+00 9.300e-06 0.0e+00 56349.2459 2.0e-07 9.300e-06 4.0e-07 -9.000e-08 6.0e-08 1.83 * palfa * -209 B0559-57 J0600-5756 06:00:46.5 3.0e-01 -57:56:54 3.0e+00 * 0 * 0 * 0 43557.36 266.492 -29.343 2.261365 3.0e-09 2.78e-15 9.0e-17 * 0 * 0 43557.36 30.00 8.0e+00 * 0 2.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.55 * mol2,pks70 * -210 B0559-05 J0601-0527 06:01:58.9 1.2e-03 -05:27:50.5 4.0e-02 18.000 8.0e+00 -16.000 7.0e+00 * 0 49379.00 212.199 -13.481 0.395969 5.0e-13 1.30e-15 5.0e-21 2.420e-26 5.0e-28 * 0 49379.00 80.54 5.0e-03 * 0 22.70 9.0e-01 2.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * mol2,pks70 * - -211 J0605+37 J0605+37 06:05 0 +37 0 * 0 * 0 * 0 55561.00 175.037 7.549 0.002730 0 * 0 * 0 * 0 55561.00 21.00 0 * 0 * 0 * 0 BT * 0 55.6000 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 GRS:2FGL_J0605.3+3758 FermiAssoc * -212 J0608+00 J0608+00 06:08:49 3.0e+01 +00:39 8.0e+00 * 0 * 0 * 0 56033.00 207.445 -9.171 1.076200 0 * 0 * 0 * 0 56033.00 48.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.29 * ar327 * -213 J0609+2130 J0609+2130 06:09:58.8 2.0e-04 +21:30:02.8 9.0e-02 * 0 * 0 * 0 52758.00 189.192 1.040 0.055698 2.0e-14 2.35e-19 2.0e-21 * 0 * 0 52758.00 38.73 2.0e-02 * 0 0.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * ar4 * -214 J0610-2100 J0610-2100 06:10:13.5 1.7e-05 -21:00:27.9 4.0e-04 9.210 6.0e-02 16.730 8.0e-02 * 0 55000.00 227.747 -18.184 0.003861 6.0e-16 1.24e-20 6.0e-23 * 0 * 0 55000.00 60.67 1.7e-03 * 0 * 0 0.40 2.0e-01 ELL1 * 0 0.2860 6.0e-10 0.0735 4.0e-07 66.04 0.0e+00 2.955e-05 0.0e+00 52814.2496 3.0e-06 2.700e-05 8.0e-06 1.200e-05 8.0e-06 3.26 GRS:2FGL_J0610.3-2059[naa+12] pkshl HE[egc+13] -215 J0610+37 J0610+37 06:11 2.0e+00 +37:18 1.8e+01 * 0 * 0 * 0 56292.00 175.336 8.746 0.443861 1.4e-05 * 0 * 0 * 0 56292.00 39.00 2.0e+00 * 0 1.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.07 * gbncc * - -216 J0611+04 J0611+04 06:11:18 1.1e+02 +04:06 8.0e+00 * 0 * 0 * 0 57022.00 204.655 -7.012 1.674430 0 * 0 * 0 * 0 57022.00 69.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * ar327 * -217 J0611+1436 J0611+1436 06:11:18.6 1.3e-02 +14:36:52 4.0e+00 * 0 * 0 * 0 55818.00 195.378 -2.004 0.270329 3.0e-11 4.00e-15 3.0e-18 * 0 * 0 55818.00 45.70 7.0e-01 * 0 * 0 1.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 * palfa * -218 J0611+30 J0611+30 06:11:16 2.3e+01 +30:16 5.0e+00 * 0 * 0 * 0 49717.00 181.624 5.496 1.412090 3.0e-06 * 0 * 0 * 0 49717.00 45.26 1.6e-03 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * misc * -219 B0609+37 J0612+3721 06:12:48.6 1.5e-03 +37:21:37.3 1.1e-01 * 0 * 0 * 0 49679.00 175.450 9.093 0.297982 1.8e-13 5.95e-17 1.8e-21 -1.650e-26 4.0e-28 * 0 49679.00 27.15 3.4e-04 * 0 16.00 1.0e+00 4.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.53 * gb3,gbncc * -220 J0613-0200 J0613-0200 06:13:43.9 3.7e-06 -02:00:47.2 1.4e-04 * 0 * 0 0.930 2.0e-01 55413.00 210.413 -9.305 0.003062 9.0e-18 9.59e-21 1.5e-25 * 0 * 0 55413.00 38.78 6.0e-05 * 0 21.00 2.0e+00 2.30 3.0e-01 ELL1 * 0 1.1985 1.4e-11 1.0914 1.0e-06 35.08 0.0e+00 4.350e-06 0.0e+00 55412.5433 1.3e-08 2.500e-06 4.0e-07 3.560e-06 1.1e-07 0.78 GRS:2FGL_J0613.8-0200[naa+12] pks70 HE - -221 J0613+3731 J0613+3731 06:13:12.1 1.1e-02 +37:31:38.3 9.0e-01 * 0 * 0 * 0 56000.00 175.336 9.239 0.619198 7.0e-11 3.24e-15 2.0e-18 * 0 * 0 56000.00 18.99 1.2e-02 * 0 1.60 8.0e-01 0.13 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 * misc * -222 B0611+22 J0614+2229 06:14:17.1 3.0e-02 +22:30:36 1.7e+01 -4.000 5.0e+00 -3.000 7.0e+00 * 0 49674.00 188.785 2.400 0.334960 1.6e-10 5.94e-14 1.2e-18 6.680e-24 2.0e-25 * 0 49674.00 96.91 4.0e-02 * 0 29.00 1.0e+00 2.20 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.74 * jb1,gb1,gb3,gb4 * -223 J0614-3329 J0614-3329 06:14:10.3 3.0e-04 -33:29:54.1 4.0e-03 0.580 9.0e-02 -1.920 1.2e-01 1.100 1.1e+00 55100.00 240.501 -21.827 0.003149 9.0e-15 1.75e-20 7.0e-22 * 0 * 0 55100.00 37.05 1.0e-03 * 0 * 0 * 0 BT 55146.8210 7.0e-03 53.5846 8.0e-07 27.6388 2.0e-06 15.92 4.0e-02 1.801e-04 1.0e-07 * 0 * 0 * 0 0.62 GRS:2FGL_J0614.1-3329[naa+12] FermiAssoc HE -224 J0614+83 J0614+83 06:14 1.0e+01 +83:14 1.8e+01 * 0 * 0 * 0 56292.00 130.353 25.833 1.039203 5.1e-05 * 0 * 0 * 0 56292.00 44.00 1.0e+00 * 0 1.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.66 * gbncc * -225 J0621+0336 J0621+0336 06:21:11.2 5.0e-03 +03:36:45.5 1.0e-01 * 0 * 0 * 0 54236.00 206.246 -5.058 0.269954 9.0e-13 7.24e-18 6.0e-20 * 0 * 0 54236.00 72.59 1.3e-01 * 0 * 0 1.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.70 * pkspa * - -226 J0621+1002 J0621+1002 06:21:22.1 3.0e-05 +10:02:38.7 1.5e-03 3.230 1.2e-01 -0.500 5.0e-01 * 0 55000.00 200.570 -2.013 0.028854 1.6e-15 4.73e-20 5.0e-23 * 0 * 0 55000.00 36.47 3.0e-02 -0.009 3.0e-04 * 0 1.90 3.0e-01 DD 49746.8668 1.9e-04 8.3187 3.0e-07 12.0321 4.0e-07 188.77 9.0e-03 2.457e-03 7.0e-08 * 0 * 0 * 0 0.42 * misc,palfa * -227 J0621+25 J0621+25 06:21 0 +25 0 * 0 * 0 * 0 55561.00 187.309 4.928 0.002720 0 * 0 * 0 * 0 55561.00 83.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 GRS:2FGL_J0621.2+2508[naa+12] FermiAssoc * -228 J0621-55 J0621-55 06:20:42 3.0e+01 -56:05 7.0e+00 * 0 * 0 * 0 * 264.804 -26.411 * 0 * 0 * 0 * 0 * 22.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pks_superb RRAT -229 J0622+3749 J0622+3749 06:22:10.5 2.0e-02 +37:49:13.6 9.0e-01 * 0 * 0 * 0 55225.00 175.877 10.958 0.333208 6.0e-12 2.54e-14 5.0e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J0621.9+3750 FermiBlind NRAD -230 J0623+0340 J0623+0340 06:23:46.7 1.0e-02 +03:40:06.8 4.0e-01 * 0 * 0 * 0 54666.00 206.497 -4.459 0.613760 7.0e-12 8.84e-17 3.0e-20 * 0 * 0 54666.00 54.00 4.0e+00 * 0 * 0 0.27 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.38 * pkspa * - -231 B0621-04 J0624-0424 06:24:20.0 2.6e-03 -04:24:50.4 1.1e-01 * 0 * 0 * 0 49876.00 213.792 -8.036 1.039076 1.5e-12 8.30e-16 1.2e-20 -7.300e-29 3.0e-28 * 0 49876.00 70.83 1.1e-02 * 0 4.90 5.0e-01 2.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.94 * mol2,gb2,pks70 * -232 J0625+10 J0625+10 06:25:45 1.6e+01 +10:16 5.0e+00 * 0 * 0 * 0 49717.00 200.878 -0.956 0.498397 3.0e-06 * 0 * 0 * 0 49717.00 78.00 1.5e+01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * ar4,palfa * -233 J0627+0649 J0627+0649 06:27:53.6 8.0e-04 +06:49:54.1 5.0e-02 * 0 * 0 * 0 54466.00 204.166 -2.085 0.346523 1.3e-11 1.70e-15 3.0e-18 * 0 * 0 54466.00 86.60 8.0e-02 * 0 * 0 1.89 5.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * pkspa,ar327 * -234 J0627+0706 J0627+0706 06:27:44.2 2.0e-03 +07:06:12.7 1.1e+00 * 0 * 0 * 0 53400.00 203.907 -1.993 0.475874 1.2e-10 2.98e-14 1.0e-17 * 0 * 0 53400.00 138.25 7.0e-02 * 0 6.00 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.29 * ar4,pkspa * -235 J0627+16 J0627+16 06:27:13 7.0e+00 +16:12 2.0e+00 * 0 * 0 * 0 54466.00 195.793 2.124 2.180000 0 * 0 * 0 * 0 54466.00 113.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * palfa RRAT - -236 J0628+0909 J0628+0909 06:28:36.1 5.0e-03 +09:09:13.9 3.0e-01 * 0 * 0 * 0 54990.00 202.190 -0.851 1.241421 3.0e-12 5.48e-16 2.0e-19 * 0 * 0 54990.00 88.30 2.0e-01 * 0 * 0 0.06 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.77 * palfa RRAT -237 B0626+24 J0629+2415 06:29:05.7 4.0e-03 +24:15:43.3 1.1e+00 -7.000 1.2e+01 2.000 1.2e+01 * 0 49438.00 188.817 6.223 0.476623 4.0e-12 2.00e-15 3.0e-20 -7.800e-27 2.2e-27 * 0 49438.00 84.18 5.0e-03 * 0 31.00 2.0e+00 3.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.67 * gb1,gb3,gb4 * -238 J0630-0046 J0630-0046 06:30:26.9 1.2e-02 -00:46:05.8 1.7e-01 * 0 * 0 * 0 54355.00 211.220 -5.020 0.680575 7.0e-12 3.75e-15 1.9e-18 * 0 * 0 54355.00 97.30 5.0e-01 * 0 * 0 0.41 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * pkspa * -239 J0630+19 J0630+19 06:30:04 1.2e+02 +19:37 8.0e+00 * 0 * 0 * 0 57022.00 193.071 4.303 1.248550 0 * 0 * 0 * 0 57022.00 48.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * ar327 * -240 B0628-28 J0630-2834 06:30:49.4 4.3e-05 -28:34:42.7 3.7e-04 -46.300 9.9e-01 21.260 5.2e-01 3.010 4.1e-01 54100.00 236.952 -16.758 1.244419 8.0e-11 7.12e-15 3.0e-19 -1.180e-26 1.5e-27 * 0 46603.00 34.42 1.0e-03 * 0 206.00 2.2e+01 23.00 6.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.32 XRS:RX_J0630.8-2834[bjk+05] mol1,mol2,pks70,pkshl HE[to05] - -241 J0631+0646 J0631+0646 06:31:52.3 2.0e-02 +06:46:14.2 7.0e-01 * 0 * 0 * 0 55806.00 204.678 -1.238 0.110979 8.0e-13 3.62e-15 3.0e-20 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J0631.6+0644[aaa+15] FermiBlind NRAD -242 J0631+1036 J0631+1036 06:31:27.5 4.0e-03 +10:37:02.5 3.0e-01 * 0 * 0 * 0 53850.00 201.219 0.450 0.287800 9.0e-12 1.05e-13 1.7e-18 1.660e-22 1.2e-23 * 0 54750.00 125.36 1.0e-02 * 0 1.50 0 0.94 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 GRS:2FGL_J0631.5+1035[naa+12] misc,ar4,palfa HE[tsn+01,waa+10] -243 J0633+0632 J0633+0632 06:33:44.2 2.0e-02 +06:32:34.9 1.6e+00 * 0 * 0 * 0 54945.00 205.093 -0.932 0.297395 7.0e-11 7.96e-14 3.0e-18 -2.000e-23 1.0e-24 * 0 54945.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.35 GRS:2FGL_J0633.7+0633[naa+12],XRS:Swift_ FermiBlind NRAD -244 J0633+1746 J0633+1746 06:33:54.1 2.8e-03 +17:46:12.9 4.0e-02 138.000 4.0e+00 97.000 4.0e+00 6.400 1.8e+00 49793.00 195.134 4.266 0.237099 2.0e-12 1.10e-14 5.0e-20 * 0 * 0 50497.72 2.89 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 GRS:2CG195+04(Geminga),GRS:2FGL_J0633.9+ misc HE -245 J0633-2015 J0633-2015 06:33:08.8 4.0e-02 -20:15:07.1 6.0e-01 * 0 * 0 * 0 53389.00 229.260 -12.968 3.253211 5.0e-10 3.82e-15 8.0e-17 * 0 * 0 53389.00 90.70 2.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * pkshl * - -246 J0635+0533 J0635+0533 06:35:18 2.0e+00 +05:33:11 3.0e+01 * 0 * 0 * 0 50744.00 206.151 -1.043 0.033856 1.2e-08 * 0 * 0 * 0 50744.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * OPT:Be-star misc NRAD -247 J0636-4549 J0636-4549 06:36:33.7 1.6e-02 -45:49:32.6 1.6e-01 * 0 * 0 * 0 52700.00 254.547 -21.547 1.984597 4.0e-11 3.17e-15 2.0e-18 * 0 * 0 52700.00 26.31 1.5e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pkshl * -248 J0636+5129 J0636+5129 06:36:04.8 6.2e-06 +51:28:59.9 1.4e-04 * 0 * 0 0.900 4.0e-01 57002.00 163.909 18.643 0.002869 3.0e-17 3.44e-21 5.0e-24 * 0 * 0 57002.00 11.11 1.1e-04 * 0 1.80 0 * 0 ELL1 * 0 0.0666 3.0e-11 0.0090 8.0e-08 92.64 0.0e+00 2.603e-05 0.0e+00 57002.0924 1.2e-07 2.600e-05 1.3e-05 -1.200e-06 1.2e-05 0.21 XRS:[ska+16] gbncc * -249 J0645+5158 J0645+5158 06:45:59.0 5.1e-06 +51:58:14.9 6.5e-05 * 0 * 0 0.820 1.9e-01 56534.00 163.963 20.251 0.008853 1.5e-17 4.92e-21 1.0e-24 * 0 * 0 56534.00 18.25 9.0e-06 * 0 2.40 0 0.29 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 XRS:[ska+16] gbncc * -250 J0645+80 J0645+80 06:46 7.0e+00 +80:09 1.8e+01 * 0 * 0 * 0 56292.00 133.945 26.465 0.657873 2.4e-05 * 0 * 0 * 0 56292.00 50.00 3.0e+00 * 0 5.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.24 * gbncc * - -251 J0646+0905 J0646+0905 06:46:30.9 8.0e-03 +09:05:49.3 5.0e-01 * 0 * 0 * 0 54689.00 204.271 3.051 0.903913 7.0e-07 7.36e-16 3.0e-19 * 0 * 0 54689.00 149.00 7.0e-01 * 0 * 0 3.60 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * pkspa * -252 J0647+0913 J0647+0913 06:47:15.6 3.0e-02 +09:13:59.5 6.0e-01 * 0 * 0 * 0 54195.00 204.233 3.277 1.234854 3.0e-11 6.42e-15 8.0e-18 * 0 * 0 54195.00 154.70 1.2e+00 * 0 * 0 0.18 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.67 * pkspa * -253 J0652-0142 J0652-0142 06:52:11.1 1.2e-02 -01:42:30.3 4.0e-01 * 0 * 0 * 0 54031.00 214.538 -0.613 0.924054 1.4e-11 1.52e-16 1.2e-18 * 0 * 0 54031.00 116.30 1.1e+00 * 0 * 0 0.41 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.32 * pkspa * -254 J0653+4706 J0653+4706 06:53 0 +47:06 0 * 0 * 0 * 0 57754.00 169.261 19.765 0.004750 0 * 0 * 0 * 0 57754.00 25.54 0 * 0 * 0 * 0 BT * 0 5.8400 0 * 0 * 0 * 0 * 0 * 0 * 0 0.91 * FermiAssoc * -255 B0643+80 J0653+8051 06:53:15.0 3.0e-02 +80:52:00.2 1.1e-01 19.000 3.0e+00 -1.000 3.0e+00 * 0 48712.00 133.178 26.828 1.214441 2.0e-12 3.80e-15 1.5e-20 8.200e-28 1.4e-28 * 0 48712.00 33.32 7.1e-04 * 0 6.50 8.0e-01 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.35 * gb1,gbncc * - -256 J0656-2228 J0656-2228 06:56:30.2 9.0e-03 -22:28:25.5 1.5e-01 * 0 * 0 * 0 52850.00 233.655 -8.982 1.224754 3.0e-11 2.67e-17 1.7e-18 * 0 * 0 52850.00 32.39 1.7e-01 * 0 * 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.62 * pkshl * -257 J0656-5449 J0656-5449 06:56:48.9 7.0e-03 -54:49:14.9 4.0e-02 * 0 * 0 * 0 53000.00 264.795 -21.141 0.183157 2.0e-12 3.19e-17 9.0e-20 * 0 * 0 53000.00 67.50 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * pkssw * -258 J0658+0022 J0658+0022 06:58:15.2 5.0e-03 +00:22:35.3 3.0e-01 * 0 * 0 * 0 54322.00 213.374 1.688 0.563295 3.0e-12 9.15e-15 1.3e-19 * 0 * 0 54322.00 122.00 7.0e-01 * 0 * 0 0.13 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.36 * pkspa * -259 B0656+14 J0659+1414 06:59:48.1 4.0e-03 +14:14:21.5 3.0e-01 44.070 6.3e-01 -2.400 2.9e-01 3.470 3.6e-01 49721.00 201.108 8.258 0.384891 5.0e-12 5.50e-14 3.0e-20 7.640e-25 4.0e-27 * 0 49721.00 13.94 9.0e-02 * 0 6.50 6.0e-01 3.70 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.29 SNR:Monogem_Ring[tbb+03],GRS:2FGL_J0659. mol2 HE[chmm89,rfk+96,srg+97,w -260 B0655+64 J0700+6418 07:00:37.8 4.0e-03 +64:18:11.2 4.0e-02 * 0 * 0 * 0 48806.00 151.551 25.237 0.195671 1.6e-13 6.85e-19 1.2e-21 -5.600e-29 4.0e-28 * 0 48806.00 8.77 2.7e-04 * 0 5.00 1.0e+00 0.30 1.0e-01 BT 46066.7700 3.0e-02 1.0287 1.0e-09 4.1256 5.0e-06 276.00 9.0e+00 7.500e-06 1.1e-06 * 0 * 0 * 0 0.41 * gb1,gb2,gbncc * - -261 J0702-4956 J0702-4956 07:02:39.3 2.0e-01 -49:56:34.2 6.0e-01 * 0 * 0 * 0 57086.00 260.190 -18.723 0.665994 5.0e-10 * 0 * 0 * 0 57086.00 98.70 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * ghrss * -262 J0709-5923 J0709-5923 07:09:32.5 8.0e-03 -59:23:55.6 4.0e-02 * 0 * 0 * 0 53000.00 270.029 -20.899 0.485268 5.0e-12 1.26e-16 2.0e-19 * 0 * 0 53000.00 65.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * pkssw * -263 J0711+0931 J0711+0931 07:11:36.1 2.0e-02 +09:31:25 1.0e+00 * 0 * 0 * 0 51199.50 206.674 8.776 1.214090 1.0e-11 4.00e-16 1.0e-16 * 0 * 0 51199.50 46.24 1.3e-02 * 0 2.40 1.0e-01 0.04 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.17 * misc * -264 J0711-6830 J0711-6830 07:11:54.1 1.3e-05 -68:30:47.4 8.0e-05 -15.570 3.0e-02 14.240 3.0e-02 * 0 54500.00 279.531 -23.280 0.005491 4.0e-17 1.49e-20 4.0e-25 * 0 * 0 54500.00 18.41 6.0e-04 * 0 10.00 1.0e+00 3.20 5.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * pks70,pkssw * -265 J0719-2545 J0719-2545 07:19:07.3 5.0e-03 -25:45:00.2 9.0e-02 * 0 * 0 * 0 53000.00 238.934 -5.826 0.974725 9.0e-12 7.28e-15 7.0e-19 * 0 * 0 53000.00 253.89 6.0e-02 * 0 * 0 0.82 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.81 * pkshl * - -266 J0720-3125 J0720-3125 07:20:24.9 9.0e-04 -31:25:50.0 1.1e-02 -93.900 1.2e+00 52.800 1.3e+00 2.800 9.0e-01 52645.10 244.158 -8.165 8.391116 2.6e-08 6.98e-14 2.2e-16 * 0 * 0 53010.26 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 XRS:RX_J0720.4-3125,OPT:[kva07] misc XINS,NRAD -267 J0721-2038 J0721-2038 07:21:42.9 1.1e-03 -20:38:07.0 1.7e-02 * 0 * 0 * 0 55187.00 234.669 -2.922 0.015542 8.0e-14 4.40e-20 4.0e-21 * 0 * 0 55187.00 76.10 6.0e-01 * 0 * 0 0.63 1.9e-01 BT 54353.7100 3.0e-02 5.4608 8.0e-08 9.3790 3.0e-05 195.60 2.0e+00 1.020e-04 5.0e-06 * 0 * 0 * 0 2.68 * pkspa * -268 J0725-1635 J0725-1635 07:25:00.4 6.1e-03 -16:35:45.8 1.4e-01 * 0 * 0 * 0 50884.00 231.473 -0.330 0.424311 1.1e-12 9.26e-17 1.1e-20 1.500e-27 1.9e-27 * 0 50884.00 98.98 3.0e-02 * 0 4.00 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.78 * pks70,pksmb * -269 J0726-2612 J0726-2612 07:26:08.1 4.0e-02 -26:12:38.1 8.0e-01 * 0 * 0 * 0 52950.00 240.079 -4.644 3.442308 4.0e-10 2.93e-13 4.0e-17 * 0 * 0 52950.00 69.40 4.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 XRS:1RXS_J072559.8-261229[skk11] pkshl * -270 J0729-1448 J0729-1448 07:29:16.4 2.0e-02 -14:48:36.8 8.0e-01 * 0 * 0 * 0 51367.00 230.392 1.424 0.251659 1.3e-11 1.13e-13 4.0e-19 2.000e-23 6.0e-25 * 0 51367.00 91.70 2.0e-01 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.68 * pksmb * - -271 B0727-18 J0729-1836 07:29:32.3 2.8e-03 -18:36:42.7 6.7e-02 * 0 * 0 * 0 49720.00 233.760 -0.341 0.510160 3.0e-11 1.90e-14 1.9e-19 3.760e-25 1.5e-26 * 0 49720.00 61.29 1.0e-02 * 0 11.20 7.0e-01 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * mol2,pks70,pksmb,pkshl * -272 J0733-2345 J0733-2345 07:33:24.6 4.0e-02 -23:45:56.2 1.1e+00 * 0 * 0 * 0 53014.00 238.713 -2.030 1.796250 1.0e-10 5.70e-15 1.0e-17 * 0 * 0 53014.00 194.00 3.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * pksmb * -273 J0734-1559 J0734-1559 07:34 0 -15:59 0 * 0 * 0 * 0 55000.00 231.969 1.858 0.156250 0 1.22e-14 0 * 0 * 0 55000.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -274 J0736-6304 J0736-6304 07:36:20.0 2.7e-01 -63:04:16 2.0e+00 * 0 * 0 * 0 56212.00 274.881 -19.153 4.862874 7.0e-10 1.52e-13 2.5e-16 * 0 * 0 56212.00 19.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.10 * pkssw RRAT -275 J0737-2202 J0737-2202 07:37:44.0 6.0e-03 -22:02:05.3 1.4e-01 * 0 * 0 * 0 51581.00 237.685 -0.318 0.320366 5.0e-12 5.47e-15 1.1e-19 6.800e-26 6.4e-26 * 0 51581.00 95.70 4.0e-01 * 0 * 0 0.47 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb * - -276 J0737-3039A J0737-3039A 07:37:51.2 2.6e-05 -30:39:40.7 1.0e-04 -3.820 6.2e-01 2.130 2.3e-01 0.870 1.4e-01 54100.00 245.236 -4.505 0.022699 1.1e-15 1.76e-18 6.0e-23 * 0 * 0 53156.00 48.92 5.0e-03 * 0 * 0 1.60 3.0e-01 DDS 53155.9074 2.0e-07 0.1023 5.0e-11 1.4150 1.0e-06 87.03 8.0e-04 8.778e-02 9.0e-07 * 0 * 0 * 0 1.10 * pkshl,htru_pks HE[cgm+07,gkj+13] -277 J0737-3039B J0737-3039B 07:37:51.2 2.6e-05 -30:39:40.7 1.0e-04 -3.820 6.2e-01 2.130 2.3e-01 0.870 1.4e-01 54100.00 245.236 -4.505 2.773461 8.0e-11 8.92e-16 8.0e-18 * 0 * 0 53156.00 48.92 5.0e-03 * 0 * 0 1.30 3.0e-01 DD 53155.9074 2.0e-07 0.1023 5.0e-11 1.5161 1.6e-03 267.03 8.0e-04 8.778e-02 9.0e-07 * 0 * 0 * 0 1.10 * pkshl * -278 J0737+69 J0737+69 07:37 2.0e+00 +69:14 8.0e+00 * 0 * 0 * 0 56292.00 146.409 29.254 6.824240 6.3e-04 * 0 * 0 * 0 56292.00 16.00 3.0e+00 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.04 * gbncc * -279 B0736-40 J0738-4042 07:38:32.3 1.0e-02 -40:42:40.9 1.0e-01 -14.000 1.2e+00 13.000 2.0e+00 * 0 51360.00 254.194 -9.192 0.374920 6.0e-12 1.62e-15 9.0e-19 * 0 * 0 51700.00 160.90 3.0e-03 * 0 190.00 0 83.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.60 * mol1,mol2,pks70,pkshl,htru_pks * -280 J0740+41 J0740+41 07:41 1.0e+00 +41:04 8.0e+00 * 0 * 0 * 0 56292.00 178.179 26.329 0.003139 4.8e-09 * 0 * 0 * 0 56292.00 20.83 9.0e-02 * 0 5.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.51 * gbncc * - -281 J0740+6620 J0740+6620 07:40:45.7 1.8e-05 +66:20:33.5 1.8e-04 * 0 * 0 2.300 7.0e-01 57017.00 149.730 29.599 0.002886 3.0e-17 1.22e-20 5.0e-24 * 0 * 0 57017.00 14.96 2.4e-04 * 0 32.50 0 * 0 ELL1H * 0 4.7669 1.0e-09 3.9776 1.8e-07 246.05 0.0e+00 4.902e-06 0.0e+00 57018.1854 4.0e-08 -4.480e-06 1.0e-07 -1.990e-06 8.0e-08 0.43 * gbncc HE[lsg+15] -282 B0740-28 J0742-2822 07:42:49.0 2.0e-03 -28:22:43.7 4.0e-02 -29.000 2.0e+00 4.000 2.0e+00 * 0 49326.00 243.773 -2.444 0.166762 2.0e-11 1.68e-14 1.4e-19 -1.320e-24 8.0e-26 * 0 49326.00 73.73 1.0e-03 * 0 296.00 1.4e+01 15.00 1.5e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 GRS:2FGL_J0742.4-2821[naa+12] misc,mol2,pks70,pksmb,pkshl,htru_pk HE -283 B0743-53 J0745-5353 07:45:02.3 5.0e-01 -53:51:22 2.0e+00 * 0 * 0 * 0 43779.71 266.630 -14.275 0.214836 5.0e-10 2.73e-15 3.0e-17 * 0 * 0 43779.71 121.38 2.0e-02 * 0 23.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * mol2,pks70,pkssw,htru_pks,ghrss * -284 J0746-4529 J0746-4529 07:46:59.5 1.6e-02 -45:29:26.6 1.7e-01 * 0 * 0 * 0 52950.00 259.203 -10.103 2.791025 5.0e-11 1.67e-14 5.0e-18 * 0 * 0 52950.00 134.57 1.2e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * pkshl * -285 J0746+66 J0746+66 07:46 3.0e+00 +66:36 1.8e+01 * 0 * 0 * 0 56292.00 149.432 30.122 0.407670 9.3e-06 * 0 * 0 * 0 56292.00 28.00 1.0e+00 * 0 7.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * gbncc * - -286 J0749-4247 J0749-4247 07:49:49.6 4.0e-03 -42:47:42.1 4.0e-02 * 0 * 0 * 0 49014.00 257.066 -8.349 1.095452 1.4e-11 9.77e-16 4.0e-19 * 0 * 0 49014.00 104.59 9.0e-03 * 0 8.00 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.56 * pks70,pkshl,htru_pks * -287 J0749-68 J0749-68 07:50:50 1.0e+00 -68:44:27 4.0e+00 * 0 * 0 * 0 57388.00 281.031 -20.014 0.915171 2.0e-09 * 0 * 0 * 0 57388.00 26.00 0 * 0 * 0 4.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * pks_superb * -288 J0750+57 J0750+57 07:50 2.0e+00 +57:00 1.8e+01 * 0 * 0 * 0 56292.00 160.557 30.327 1.174875 6.5e-05 * 0 * 0 * 0 56292.00 27.00 2.0e+00 * 0 2.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.62 * gbncc * -289 J0751+1807 J0751+1807 07:51:09.1 1.3e-05 +18:07:38.4 1.0e-03 -2.730 5.0e-02 -13.400 3.0e-01 0.820 1.7e-01 51800.00 202.730 21.086 0.003479 4.0e-17 7.79e-21 5.0e-25 * 0 * 0 55000.00 30.25 6.0e-03 0.000 2.0e-04 10.00 0 3.20 7.0e-01 ELL1H * 0 0.2631 7.0e-12 0.3966 3.0e-07 83.43 0.0e+00 3.322e-06 0.0e+00 51800.2159 4.0e-08 3.300e-06 5.0e-07 3.800e-07 5.0e-07 1.11 GRS:2FGL_J0751.1+1809[naa+12] misc HE[wob+04,aaa+09f] -290 B0751+32 J0754+3231 07:54:40.6 5.0e-03 +32:31:56.2 2.0e-01 -4.000 5.0e+00 7.000 3.0e+00 * 0 48725.00 188.187 26.721 1.442349 3.0e-12 1.08e-15 1.7e-20 -2.300e-28 1.1e-28 * 0 48725.00 39.99 1.4e-03 * 0 8.00 1.0e+00 0.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * gb1,ar4 * - -291 B0756-15 J0758-1528 07:58:29.0 7.0e-04 -15:28:08.7 1.9e-02 1.000 4.0e+00 4.000 6.0e+00 * 0 49896.00 234.464 7.224 0.682265 1.4e-12 1.62e-15 1.4e-20 -2.370e-26 6.0e-28 * 0 49896.00 63.33 3.0e-03 * 0 8.20 6.0e-01 2.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.71 * mol2,gb3,pks70,pkshl * -292 J0804-3647 J0804-3647 08:04:22.2 4.0e-02 -36:47:35.5 5.0e-01 * 0 * 0 * 0 54987.00 253.331 -2.872 2.191987 1.5e-10 4.21e-15 3.0e-17 * 0 * 0 54987.00 196.00 5.0e+00 * 0 * 0 0.29 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.35 * pkspa * -293 J0806+08 J0806+08 08:06:05 3.0e+01 +08:17 8.0e+00 * 0 * 0 * 0 56477.00 213.920 20.334 2.063100 0 * 0 * 0 * 0 56477.00 46.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.85 * ar327 * -294 J0806-4123 J0806-4123 08:06:23.4 4.0e-02 -41:22:30.9 6.0e-01 * 0 * 0 * 0 54771.32 257.426 -4.983 11.370386 1.2e-07 5.56e-14 3.0e-14 * 0 * 0 54771.32 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J0806.4-4123[hmp98],OPT:[kkvh11] misc XINS,NRAD -295 J0807-5421 J0807-5421 08:07:47.1 8.0e-03 -54:21:26.4 8.0e-02 * 0 * 0 * 0 55333.00 268.727 -11.594 0.526644 3.0e-11 3.78e-16 1.0e-18 * 0 * 0 55333.00 165.03 7.0e-02 * 0 * 0 0.35 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 * htru_pks * - -296 J0808-3937 J0808-3937 08:08:11.6 3.0e-02 -39:37:52.9 3.0e-01 * 0 * 0 * 0 54881.00 256.134 -3.759 0.866349 3.0e-11 4.01e-16 3.0e-18 * 0 * 0 54881.00 165.00 4.0e+00 * 0 * 0 0.21 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 * pkspa * -297 B0808-47 J0809-4753 08:09:43.8 9.0e-03 -47:53:55.1 9.0e-02 * 0 * 0 * 0 46916.00 263.301 -7.957 0.547199 4.0e-12 3.08e-15 4.0e-19 * 0 * 0 46800.00 228.30 1.2e+00 * 0 46.00 0 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.49 * mol2,pks70,pkssw,htru_pks,ghrss * -298 J0812-3905 J0812-3905 08:12:14.8 1.0e-02 -39:05:48.9 9.0e-02 * 0 * 0 * 0 55083.00 256.111 -2.811 0.482596 4.0e-12 4.49e-17 1.2e-18 * 0 * 0 55083.00 327.00 4.0e+00 * 0 * 0 0.88 2.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * pkspa * -299 B0809+74 J0814+7429 08:14:59.5 2.0e-02 +74:29:05.7 1.1e-01 24.020 9.0e-02 -44.000 4.0e-01 2.310 4.0e-02 49162.00 139.998 31.618 1.292241 3.0e-12 1.68e-16 1.4e-20 1.600e-28 1.2e-28 * 0 49162.00 5.75 4.8e-04 * 0 79.00 1.5e+01 10.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * gb1,gb2,gb4,gbncc * -300 J0815+0939 J0815+0939 08:15:08.7 9.0e-03 +09:39:50.7 6.0e-01 * 0 * 0 * 0 52854.00 213.626 22.950 0.645161 5.0e-11 1.39e-16 6.0e-18 * 0 * 0 52854.00 52.66 7.9e-03 * 0 3.70 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * ar4 * - -301 J0818-3049 J0818-3049 08:18:49.3 4.0e-01 -30:49:31 5.0e+00 * 0 * 0 * 0 55903.00 249.983 2.908 0.763742 5.0e-10 5.80e-16 2.4e-16 * 0 * 0 55903.00 133.70 2.0e-01 * 0 * 0 0.45 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * pkspa * -302 J0818-3232 J0818-3232 08:18:25.9 7.0e-03 -32:32:30.5 1.1e-01 * 0 * 0 * 0 52500.00 251.358 1.875 2.161259 1.5e-11 7.53e-16 5.0e-19 * 0 * 0 52500.00 131.80 7.0e-02 * 0 * 0 0.86 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.48 * pkshl,htru_pks * -303 B0818-13 J0820-1350 08:20:26.3 1.0e-04 -13:50:55.8 2.0e-03 21.640 9.0e-02 -39.440 5.0e-02 0.510 4.0e-02 52275.00 235.890 12.595 1.238130 8.0e-13 2.11e-15 7.0e-21 1.800e-28 5.0e-29 * 0 48904.00 40.94 3.0e-03 * 0 102.00 6.0e+00 7.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * mol1,mol2,gb3,pks70,pkshl * -304 J0820-3826 J0820-3826 08:20:59.9 4.0e-03 -38:26:42.8 5.0e-02 * 0 * 0 * 0 54194.00 256.523 -1.032 0.124836 7.0e-13 2.44e-15 1.1e-19 * 0 * 0 54194.00 195.56 1.8e-01 * 0 * 0 1.25 3.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * pkspa * -305 J0820-3921 J0820-3921 08:20:49.1 4.0e-02 -39:21:55.7 4.0e-01 * 0 * 0 * 0 52700.00 257.261 -1.583 1.073567 4.0e-11 1.22e-14 4.0e-18 * 0 * 0 52700.00 179.40 1.0e-01 * 0 * 0 0.56 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.58 * pkshl,htru_pks * - -306 B0818-41 J0820-4114 08:20:15.4 7.0e-02 -41:14:36.4 7.0e-01 * 0 * 0 * 0 48383.00 258.749 -2.735 0.545446 2.0e-11 1.89e-17 1.3e-18 * 0 * 0 48383.00 113.40 2.0e-01 * 0 65.00 0 5.20 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * mol2,pks70,pksmb,pkshl,htru_pks * -307 J0821-4221 J0821-4221 08:21:44.6 3.0e-03 -42:21:25.4 4.0e-02 * 0 * 0 * 0 52950.00 259.825 -3.137 0.396728 1.9e-12 3.48e-15 7.0e-20 * 0 * 0 52950.00 270.60 1.0e-01 * 0 * 0 0.51 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pkshl,htru_pks * -308 J0821-4300 J0821-4300 08:21:57.3 3.1e-03 -43:00:17.0 4.3e-02 -54.100 8.3e+00 -28.100 1.0e+01 * 0 53454.00 260.382 -3.473 0.112799 5.0e-12 9.28e-18 4.0e-19 * 0 * 0 55580.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 SNR:PUPPIS_A,XRS:RX_J0822-4300 misc NRAD -309 B0820+02 J0823+0159 08:23:09.7 2.0e-03 +01:59:12.4 9.0e-02 5.000 1.1e+01 -1.000 8.0e+00 * 0 49281.00 221.988 21.245 0.864873 9.0e-13 1.05e-16 6.0e-21 -7.900e-28 1.3e-28 * 0 49281.00 23.73 6.0e-03 * 0 30.00 5.0e+00 1.50 7.0e-01 BT 44286.4900 5.0e-02 1232.4040 1.1e-02 162.1456 6.0e-05 332.02 1.5e-02 1.187e-02 8.0e-07 * 0 * 0 * 0 0.81 * mol2,gb3,pkshl,gb4 * -310 J0824+00 J0824+00 08:24:16 3.0e+01 +00:27 8.0e+00 * 0 * 0 * 0 56398.00 223.574 20.749 0.009900 0 * 0 * 0 * 0 56398.00 35.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * ar327 * - -311 B0823+26 J0826+2637 08:26:51.3 1.6e-03 +26:37:23.7 7.0e-02 61.000 3.0e+00 -90.000 2.0e+00 2.800 6.0e-01 46450.00 196.963 31.742 0.530661 3.0e-11 1.71e-15 9.0e-20 1.500e-26 3.0e-27 * 0 46450.00 19.48 1.8e-04 * 0 73.00 1.3e+01 10.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.32 * gb1,ar4,gb4 HE[bwt+04] -312 B0826-34 J0828-3417 08:28:16.6 1.9e-01 -34:17:07 2.8e+00 * 0 * 0 * 0 48132.00 253.965 2.561 1.848919 1.1e-10 9.96e-16 5.0e-19 -1.000e-27 2.0e-27 * 0 48132.00 52.20 6.0e-01 * 0 16.00 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * mol2,pks70,pksmb,pkshl * -313 J0831-4406 J0831-4406 08:31:32.4 3.0e-02 -44:06:11.9 4.0e-01 * 0 * 0 * 0 51396.00 262.285 -2.694 0.311674 1.1e-11 1.28e-15 6.0e-18 * 0 * 0 51396.00 254.00 5.0e-01 * 0 * 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.88 * pksmb,htru_pks * -314 J0834-4159 J0834-4159 08:34:16.3 1.0e-01 -41:59:51 1.0e+00 * 0 * 0 * 0 51505.00 260.886 -1.042 0.121116 1.5e-11 4.44e-15 8.0e-18 * 0 * 0 51505.00 240.50 1.5e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.51 * pksmb,htru_pks * -315 J0834-60 J0834-60 08:34:50 4.0e+01 -60:35 5.0e+00 * 0 * 0 * 0 51401.10 276.075 -11.924 0.384645 6.0e-06 * 0 * 0 * 0 51401.10 20.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.10 * pkssw * - -316 J0835-3707 J0835-3707 08:35:03.0 3.0e-02 -37:07:51.5 3.0e-01 * 0 * 0 * 0 51137.00 257.076 1.990 0.541404 1.5e-11 9.78e-15 9.0e-18 * 0 * 0 51137.00 112.30 3.0e-01 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.55 * pksmb,pkshl,htru_pks * -317 J0835-42 J0835-42 08:35:37 0 -42:32:37 0 * 0 * 0 * 0 55561.00 261.473 -1.169 0.738400 0 * 0 * 0 * 0 55561.00 190.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.21 * htru_pks * -318 B0833-45 J0835-4510 08:35:20.6 2.0e-05 -45:10:34.8 3.0e-04 -49.680 6.0e-02 29.900 1.0e-01 3.500 2.0e-01 51544.00 263.552 -2.787 0.089328 4.0e-12 1.25e-13 1.6e-17 1.028e-21 1.0e-24 * 0 51559.32 67.97 2.0e-02 0.005 1.0e-03 5000.00 0 1100.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.28 SNR:Vela,GRS:2FGL_J0835.3-4510[naa+12],G mol1,mol2,pks70,pksmb,htru_pks HE[hg73,tfko75] -319 B0834+06 J0837+0610 08:37:05.6 3.0e-03 +06:10:14.5 1.4e-01 2.000 5.0e+00 51.000 3.0e+00 * 0 48721.00 219.721 26.272 1.273768 7.0e-13 6.80e-15 5.0e-21 9.600e-29 3.5e-29 * 0 48721.00 12.86 4.0e-04 * 0 89.00 1.4e+01 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 * misc,mol2,gb2,gb4 * -320 J0837-24 J0837-24 08:37:44 3.1e+01 -24:47:48 4.2e+02 * 0 * 0 * 0 * 247.453 9.799 * 0 * 0 * 0 * 0 * 142.80 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * htru_pks RRAT - -321 B0835-41 J0837-4135 08:37:21.1 1.7e-03 -41:35:14.3 2.0e-02 -2.300 1.8e+00 -18.000 3.0e+00 * 0 52340.00 260.904 -0.336 0.751624 8.0e-12 3.54e-15 1.2e-18 * 0 * 0 51700.00 147.29 7.0e-02 * 0 197.00 0 16.00 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.50 * mol1,mol2,pks70,pksmb,pkshl,htru_pk * -322 J0838-2621 J0838-2621 08:38:18.8 4.0e-03 -26:21:29.5 7.0e-02 * 0 * 0 * 0 53200.00 248.807 8.981 0.308581 2.0e-12 3.90e-17 3.0e-19 * 0 * 0 53200.00 116.90 5.0e-02 * 0 * 0 0.40 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * pkshl,htru_pks * -323 J0838-3947 J0838-3947 08:38:30.8 5.0e-01 -39:47:22 7.0e+00 * 0 * 0 * 0 51162.00 259.606 0.928 1.703946 9.0e-10 8.13e-16 3.2e-16 * 0 * 0 51162.00 219.00 1.1e+01 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.10 * pksmb * -324 B0839-53 J0840-5332 08:40:33.8 6.0e-02 -53:32:35.5 6.0e-01 * 0 * 0 * 0 47728.43 270.774 -7.143 0.720612 2.0e-11 1.64e-15 1.0e-18 * 0 * 0 47728.43 156.50 1.0e+00 * 0 19.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * mol2,pks70,pkssw,htru_pks,ghrss * -325 B0840-48 J0842-4851 08:42:05.3 6.0e-02 -48:51:20.8 5.0e-01 * 0 * 0 * 0 43557.44 267.182 -4.101 0.644354 1.2e-10 9.50e-15 6.0e-18 * 0 * 0 43557.44 196.85 8.0e-02 * 0 6.20 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 * mol2,pks70,pksmb,htru_pks,ghrss * - -326 J0843+0719 J0843+0719 08:43:33.8 4.0e-02 +07:18:47.8 1.6e+00 * 0 * 0 * 0 52892.00 219.400 28.223 1.365860 5.0e-05 * 0 * 0 * 0 52892.00 36.60 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.07 * pkshl * -327 J0843-5022 J0843-5022 08:43:09.8 8.0e-03 -50:22:43.1 8.0e-02 * 0 * 0 * 0 51500.00 268.496 -4.898 0.208956 1.4e-12 1.72e-16 1.4e-19 * 0 * 0 51500.00 178.47 9.0e-02 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * pkssw,pksmb,htru_pks,ghrss * -328 B0844-35 J0846-3533 08:46:06.0 3.1e-02 -35:33:40.7 4.8e-01 93.000 7.2e+01 -15.000 6.5e+01 * 0 48719.00 257.190 4.710 1.116097 5.0e-12 1.60e-15 3.0e-20 9.300e-28 2.6e-28 * 0 48719.00 94.16 1.1e-01 * 0 16.00 0 2.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * mol2,pks70,pkshl,pksmb,htru_pks * -329 J0847-4316 J0847-4316 08:47:57.3 5.0e-02 -43:16:56.8 7.0e-01 * 0 * 0 * 0 53816.00 263.444 0.158 5.977493 7.0e-10 1.20e-13 2.0e-17 * 0 * 0 53816.00 292.50 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.55 * pksmb RRAT -330 J0848+16 J0848+16 08:48:53 3.1e+01 +16:43 8.0e+00 * 0 * 0 * 0 55673.00 210.060 33.305 0.452400 0 * 0 * 0 * 0 55673.00 38.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.28 * ar327 * - -331 J0849-6322 J0849-6322 08:49:42.5 2.0e-02 -63:22:35.0 1.0e-01 * 0 * 0 * 0 51500.00 279.433 -12.171 0.367953 5.0e-12 7.91e-16 5.0e-19 * 0 * 0 51500.00 91.29 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pkssw,htru_pks * -332 B0841+80 J0849+8028 08:49:01.5 3.0e-01 +80:28:59.1 9.7e-01 * 0 * 0 * 0 49993.00 132.654 31.462 1.602228 4.0e-11 4.46e-16 3.0e-19 1.100e-27 2.0e-27 * 0 49993.00 34.81 3.1e-03 * 0 1.50 0.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * gb2,gbncc * -333 B0853-33 J0855-3331 08:55:38.4 6.3e-03 -33:31:39.3 1.0e-01 * 0 * 0 * 0 49886.00 256.847 7.517 1.267536 5.0e-12 6.32e-15 3.0e-20 4.900e-28 4.0e-28 * 0 49886.00 86.64 1.6e-02 * 0 7.70 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.50 * mol2,pks70,pkshl,htru_pks * -334 J0855-4644 J0855-4644 08:55:36.1 3.0e-02 -46:44:13.4 5.0e-01 * 0 * 0 * 0 51368.00 266.967 -1.004 0.064686 4.0e-13 7.26e-15 3.0e-20 * 0 * 0 51368.00 236.40 1.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.64 SNR:RX_J0852.0-4622(?)[rm05] pksmb,htru_pks * -335 J0855-4658 J0855-4658 08:55:19.5 5.0e-02 -46:58:22.6 9.0e-01 * 0 * 0 * 0 51395.00 267.116 -1.193 0.575072 4.0e-11 1.36e-14 2.0e-17 * 0 * 0 51395.00 472.70 1.2e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.74 * pksmb,htru_pks * - -336 B0855-61 J0856-6137 08:56:59.3 9.0e-02 -61:37:53.3 5.0e-01 * 0 * 0 * 0 43557.48 278.575 -10.427 0.962509 3.0e-10 1.68e-15 1.0e-17 * 0 * 0 43557.48 95.00 3.0e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * mol2,pks70,pkssw,htru_pks * -337 J0857-4424 J0857-4424 08:57:55.1 2.0e-03 -44:24:10.3 3.0e-02 * 0 * 0 * 0 49080.00 265.455 0.820 0.326774 2.0e-12 2.33e-14 5.0e-20 * 0 * 0 49080.00 184.43 4.0e-03 * 0 12.00 0 0.88 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.83 * pks70,pksmb,htru_pks * -338 J0900-3144 J0900-3144 09:00:43.9 8.0e-06 -31:44:30.8 1.3e-04 -1.010 5.0e-02 2.020 7.0e-02 0.770 4.4e-01 55000.00 256.162 9.486 0.011110 6.0e-16 4.89e-20 1.1e-23 * 0 * 0 55000.00 75.71 8.0e-03 * 0 * 0 3.80 6.0e-01 ELL1 * 0 18.7376 9.0e-10 17.2488 1.5e-07 70.41 0.0e+00 1.049e-05 0.0e+00 52678.6303 1.3e-07 9.883e-06 1.7e-08 3.517e-06 1.7e-08 0.89 * pkshl,htru_pks * -339 J0901-4624 J0901-4624 09:01:40.1 3.0e-02 -46:24:48.5 5.0e-01 * 0 * 0 * 0 51031.00 267.404 -0.004 0.441995 1.4e-11 8.75e-14 8.0e-18 * 0 * 0 51031.00 199.30 2.0e-01 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * pksmb * -340 B0901-63 J0902-6325 09:02:32.4 1.0e-01 -63:25:12.0 7.0e-01 * 0 * 0 * 0 43557.50 280.390 -11.082 0.660313 2.0e-10 1.07e-16 9.0e-18 * 0 * 0 43557.50 76.00 7.0e+00 * 0 4.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * mol2,pkssw,htru_pks * - -341 B0903-42 J0904-4246 09:04:59.2 1.0e-01 -42:46:14 1.0e+00 * 0 * 0 * 0 43557.51 265.075 2.859 0.965171 4.0e-10 1.89e-15 1.8e-17 * 0 * 0 43557.51 145.80 5.0e-01 * 0 8.00 0 0.60 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.68 * mol2,pks70,pksmb * -342 B0904-74 J0904-7459 09:04:10.8 2.0e-01 -74:59:42.8 5.0e-01 * 0 * 0 * 0 43555.43 289.738 -18.320 0.549553 1.2e-10 4.63e-16 6.0e-18 * 0 * 0 43555.43 51.10 1.6e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * mol2,pks70 * -343 J0905-4536 J0905-4536 09:05:23.9 5.0e-02 -45:36:53.0 5.0e-01 * 0 * 0 * 0 48818.00 267.239 1.011 0.988281 2.0e-10 1.49e-16 3.0e-18 * 0 * 0 48818.00 179.70 0 * 0 13.00 0 0.83 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.96 * pks70,pksmb,htru_pks * -344 J0905-5127 J0905-5127 09:05:51.9 4.0e-03 -51:27:48.7 4.0e-02 * 0 * 0 * 0 48958.00 271.632 -2.853 0.346287 2.0e-12 2.49e-14 4.0e-20 * 0 * 0 48958.00 196.43 4.0e-03 * 0 12.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * pks70,pksmb,htru_pks,ghrss * -345 J0905-6019 J0905-6019 09:05:15.2 5.0e-03 -60:19:22.0 3.0e-02 * 0 * 0 * 0 55191.00 278.222 -8.816 0.340854 8.0e-12 5.22e-16 3.0e-19 * 0 * 0 55191.00 91.40 4.0e-01 * 0 * 0 0.36 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * htru_pks * - -346 B0905-51 J0907-5157 09:07:15.9 1.0e-02 -51:57:59.2 1.0e-01 * 0 * 0 * 0 46917.00 272.150 -3.031 0.253556 3.0e-12 1.83e-15 2.0e-19 * 0 * 0 46800.00 103.72 0 * 0 35.00 0 9.30 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.34 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -347 B0906-17 J0908-1739 09:08:38.1 1.1e-03 -17:39:37.6 3.0e-02 27.000 1.1e+01 -40.000 1.1e+01 * 0 48737.00 246.119 19.850 0.401626 1.8e-13 6.69e-16 1.7e-21 1.100e-27 1.2e-28 * 0 48737.00 15.88 2.0e-03 * 0 16.00 1.0e+00 3.20 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 * mol2,gb2,pks70,pkshl * -348 B0906-49 J0908-4913 09:08:35.5 1.0e-01 -49:13:06.5 9.0e-01 * 0 * 0 * 0 46546.28 270.266 -1.019 0.106755 3.0e-11 1.52e-14 2.0e-18 * 0 * 0 46546.28 180.37 5.0e-02 -0.038 4.0e-03 28.00 3.0e+00 10.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * misc,pks1,pks70,pksmb,htru_pks * -349 B0909-71 J0909-7212 09:09:36.0 2.0e-01 -72:12:08.4 6.0e-01 * 0 * 0 * 0 43557.53 287.728 -16.256 1.362890 5.0e-10 3.33e-16 1.7e-17 * 0 * 0 43557.53 54.30 1.6e+00 * 0 6.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.75 * mol2,pks70 * -350 B0904+77 J0910+77 09:10 1.0e+01 +77:28 5.0e+01 * 0 * 0 * 0 39856.00 135.325 33.704 1.579050 6.0e-05 * 0 * 0 * 0 39856.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * misc * - -351 J0912-3851 J0912-3851 09:12:42.7 2.0e-02 -38:51:03 1.0e+00 * 0 * 0 * 0 55093.00 263.165 6.584 1.526085 3.0e-09 3.59e-15 5.0e-17 * 0 * 0 55093.00 71.50 7.0e-01 * 0 * 0 0.14 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * htru_pks RRAT -352 J0919-42 J0919-42 09:19 4.0e+00 -42:00 4.0e+01 * 0 * 0 * 0 56657.00 266.285 5.274 0.812600 0 * 0 * 0 * 0 56657.00 57.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.33 * ghrss * -353 J0919-6040 J0919-6040 09:19:27.8 7.0e-02 -60:40:50.4 3.0e-01 * 0 * 0 * 0 55190.00 279.687 -7.774 1.216976 6.0e-10 1.00e-17 2.0e-17 * 0 * 0 55190.00 82.50 3.0e-01 * 0 * 0 0.23 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * htru_pks * -354 B0917+63 J0921+6254 09:21:14.1 1.6e-02 +62:54:13.9 1.4e-01 * 0 * 0 * 0 49687.00 151.431 40.725 1.567994 4.0e-12 3.61e-15 4.0e-20 1.700e-28 2.4e-28 * 0 49687.00 13.15 1.8e-04 * 0 5.00 1.0e+00 0.50 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * gb2,gb4 * -355 B0919+06 J0922+0638 09:22:14.0 4.0e-03 +06:38:23.3 1.7e-01 18.800 9.0e-01 86.400 7.0e-01 0.830 1.3e-01 48227.00 225.420 36.392 0.430627 1.7e-11 1.37e-14 1.0e-18 1.800e-24 1.0e-26 * 0 55140.16 27.30 5.0e-04 * 0 52.00 6.0e+00 4.20 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.10 XRS:[pb15] mol2,ar4,pkshl,gb4 * - -356 J0922-4949 J0922-4949 09:22:14.9 1.3e-02 -49:49:12.0 8.0e-02 * 0 * 0 * 0 51279.00 272.237 0.160 0.950289 8.0e-12 9.76e-14 4.0e-18 * 0 * 0 51279.00 237.10 3.0e-01 * 0 * 0 0.52 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * pksmb,htru_pks * -357 J0922-52 J0922-52 09:22 0 -52 0 * 0 * 0 * 0 56102.00 273.745 -1.415 0.009680 0 * 0 * 0 * 0 56102.00 122.40 0 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * pksmb * -358 J0923-31 J0923-31 09:23:58 5.0e+01 -31:57 1.5e+01 * 0 * 0 * 0 * 259.697 13.003 * 0 * 0 * 0 * 0 * 72.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pkssw RRAT -359 B0922-52 J0924-5302 09:24:08.6 5.0e-02 -53:02:44.2 4.0e-01 * 0 * 0 * 0 43555.46 274.712 -1.930 0.746295 1.0e-10 3.55e-14 5.0e-18 * 0 * 0 43555.46 152.90 5.0e-01 * 0 12.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.51 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -360 B0923-58 J0924-5814 09:24:31.0 1.0e-01 -58:14:06.4 8.0e-01 * 0 * 0 * 0 47728.45 278.395 -5.595 0.739501 4.0e-11 4.88e-15 2.0e-18 * 0 * 0 47728.45 57.40 3.0e-01 * 0 22.00 0 4.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * mol2,pks70,pksmb,htru_pks * - -361 J0927+2345 J0927+2345 09:27:45.2 5.0e-02 +23:45:10.7 1.2e+00 * 0 * 0 * 0 53400.00 205.286 44.202 0.761889 9.0e-11 3.05e-16 4.0e-18 * 0 * 0 53400.00 17.24 1.2e-01 * 0 1.00 0 0.06 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * ar4 * -362 J0928+06 J0928+06 09:28:44 3.0e+01 +06:14 8.0e+00 * 0 * 0 * 0 56437.00 226.854 37.601 2.060400 0 * 0 * 0 * 0 56437.00 50.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -363 J0928+30 J0928+30 09:28:43 4.0e+01 +30:37 1.0e+01 * 0 * 0 * 0 57022.00 195.848 45.853 2.091900 0 * 0 * 0 * 0 57022.00 22.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.04 * misc * -364 J0931-1902 J0931-1902 09:31:19.1 1.3e-05 -19:02:55.0 3.1e-04 * 0 * 0 1.200 9.0e-01 56864.00 250.999 23.054 0.004638 7.0e-17 3.63e-21 7.0e-24 * 0 * 0 56864.00 41.49 2.4e-04 * 0 * 0 0.42 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.72 * gb350 * -365 J0932-3217 J0932-3217 09:32:39.1 6.0e-02 -32:17:14.2 8.0e-01 * 0 * 0 * 0 51500.00 261.277 14.069 1.931627 1.9e-10 2.50e-16 1.5e-17 * 0 * 0 51500.00 102.10 8.0e-01 * 0 * 0 0.32 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 * pkssw,htru_pks * - -366 J0932-5327 J0932-5327 09:32:22.8 1.4e-01 -53:27:11.0 1.6e+00 * 0 * 0 * 0 53099.00 275.885 -1.375 4.392159 6.0e-10 8.37e-15 8.0e-17 * 0 * 0 53099.00 122.00 1.1e+01 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * pksmb,htru_pks * -367 J0934-4154 J0934-4154 09:34:58.2 3.0e-02 -41:54:19.5 3.0e-01 * 0 * 0 * 0 51650.00 268.361 7.411 0.570409 1.4e-11 2.69e-16 3.0e-18 * 0 * 0 51650.00 113.79 1.6e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.53 * pkssw * -368 B0932-52 J0934-5249 09:34:28.3 6.0e-02 -52:49:27.2 4.0e-01 * 0 * 0 * 0 47820.77 275.690 -0.700 1.444773 3.0e-11 4.65e-15 2.0e-18 * 0 * 0 47820.77 100.00 2.0e+00 * 0 18.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -369 J0940-5428 J0940-5428 09:40:58.2 4.0e-02 -54:28:40.6 3.0e-01 * 0 * 0 * 0 51091.00 277.510 -1.292 0.087545 4.0e-12 3.29e-14 1.0e-18 * 0 * 0 51091.00 134.55 3.0e-02 * 0 * 0 0.66 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pksmb * -370 J0941-39 J0941-39 09:41:38 4.6e+01 -39:41 1.5e+01 * 0 * 0 * 0 54831.00 267.795 9.904 0.586778 3.0e-11 * 0 * 0 * 0 54831.00 78.20 2.7e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * pkssw,htru_pks RRAT - -371 J0941-5244 J0941-5244 09:41:41.1 6.0e-03 -52:44:04.4 5.0e-02 * 0 * 0 * 0 48930.00 276.446 0.092 0.658558 1.0e-11 1.14e-15 2.0e-19 * 0 * 0 48930.00 157.94 1.0e-02 * 0 11.00 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * pks70,pksmb,htru_pks * -372 B0940-55 J0942-5552 09:42:15.8 9.0e-02 -55:52:52.3 9.0e-01 * 0 * 0 * 0 46800.00 278.571 -2.230 0.664367 6.0e-11 2.29e-14 5.0e-18 * 0 * 0 46800.00 180.20 5.0e-01 * 0 55.00 0 10.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -373 B0941-56 J0942-5657 09:42:54.4 1.6e-02 -56:57:43.4 1.4e-01 * 0 * 0 * 0 46809.00 279.345 -2.990 0.808127 1.1e-11 3.96e-14 1.1e-18 * 0 * 0 46800.00 159.74 1.2e-01 * 0 13.00 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 * mol2,pks1,pks70,pksmb,htru_pks * -374 B0940+16 J0943+1631 09:43:30.1 1.5e-01 +16:31:37 6.0e+00 23.000 1.6e+01 9.000 1.1e+01 * 0 48865.00 216.609 45.380 1.087418 1.0e-11 9.11e-17 8.0e-20 4.000e-28 8.3e-28 * 0 48865.00 20.34 1.8e-03 * 0 7.00 2.0e+00 1.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.49 * mol2,ar4 * -375 J0943+2253 J0943+2253 09:43:32.3 1.0e-03 +22:53:05.6 4.0e-02 * 0 * 0 * 0 53400.00 207.887 47.458 0.532975 9.0e-13 8.98e-17 2.0e-21 * 0 * 0 53400.00 27.25 1.5e-03 * 0 5.50 0 0.39 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * ar4 * - -376 J0943+41 J0943+41 09:43 2.0e+00 +41:09 1.8e+01 * 0 * 0 * 0 56292.00 180.395 49.127 2.229489 9.9e-05 * 0 * 0 * 0 56292.00 21.00 2.0e+00 * 0 8.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * gbncc * -377 B0942-13 J0944-1354 09:44:28.9 1.1e-03 -13:54:41.6 3.0e-02 -1.000 3.2e+01 -22.000 1.4e+01 * 0 49337.00 249.129 28.843 0.570264 4.0e-13 4.53e-17 3.0e-21 -2.300e-28 1.3e-28 * 0 49337.00 12.50 3.0e-03 * 0 26.00 4.0e+00 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.69 * mol2,gb2,gb3,pks70,pkshl * -378 J0945-4833 J0945-4833 09:45:38.2 6.0e-03 -48:33:14.5 5.0e-02 * 0 * 0 * 0 51703.00 274.199 3.674 0.331586 1.8e-12 4.83e-15 6.0e-19 * 0 * 0 51703.00 98.10 3.0e-01 * 0 * 0 0.39 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * pksmb,htru_pks * -379 B0943+10 J0946+0951 09:46:07.6 8.0e-01 +09:51:55 3.4e+01 -38.000 1.9e+01 -21.000 1.2e+01 * 0 48483.00 225.413 43.126 1.097706 7.0e-11 3.49e-15 2.0e-19 -4.300e-26 5.0e-27 * 0 48483.00 15.32 9.0e-04 * 0 4.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 XRS:[zsp05] misc,gb2 * -380 J0947+2740 J0947+2740 09:47:21.2 1.8e-02 +27:40:43.5 2.0e-01 * 0 * 0 * 0 53400.00 201.142 49.384 0.851014 6.0e-11 4.30e-16 3.0e-18 * 0 * 0 53400.00 29.09 7.0e-02 * 0 1.00 0 0.13 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * - -381 J0949-6902 J0949-6902 09:49:20.5 6.0e-03 -69:02:41.6 3.0e-02 * 0 * 0 * 0 55195.00 287.826 -11.702 0.640016 1.0e-11 6.37e-16 5.0e-19 * 0 * 0 55195.00 93.00 1.0e-01 * 0 * 0 0.31 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * htru_pks * -382 J0952-0607 J0952-0607 09:52:08.3 3.0e-03 -06:07:23.4 5.0e-02 * 0 * 0 * 0 57800.00 243.652 35.380 0.001414 4.0e-14 * 0 * 0 * 0 57800.00 22.41 1.0e-04 * 0 * 0 * 0 ELL1 57799.9120 8.0e-07 0.2675 1.2e-08 0.0627 1.4e-06 * 0 * 0 * 0 * 0 * 0 1.74 OPT:[bph+17] * * -383 B0950-38 J0952-3839 09:52:17.2 1.0e-01 -38:39:10.2 9.0e-01 * 0 * 0 * 0 43557.59 268.702 12.033 1.373815 5.0e-10 5.80e-16 3.0e-17 * 0 * 0 43557.59 167.00 3.0e+00 * 0 8.50 0 0.34 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.53 * mol2,pks70,pkssw,htru_pks * -384 B0950+08 J0953+0755 09:53:09.3 1.9e-03 +07:55:35.7 8.0e-02 -2.090 8.0e-02 29.460 7.0e-02 3.820 7.0e-02 46375.00 228.908 43.697 0.253065 9.0e-13 2.30e-16 3.0e-21 -7.600e-27 4.0e-28 * 0 46375.00 2.97 8.0e-05 * 0 400.00 2.0e+02 84.00 8.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.26 * misc,mol2,ar4,pkshl,gb4 HE[bwt+04] -385 J0954-5430 J0954-5430 09:54:06.0 3.0e-02 -54:30:53.5 7.0e-01 * 0 * 0 * 0 51034.00 278.999 -0.101 0.472834 1.6e-11 4.39e-14 1.2e-17 * 0 * 0 51034.00 201.57 5.0e-02 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * pksmb,htru_pks * - -386 B0953-52 J0955-5304 09:55:29.5 1.0e-02 -53:04:16.7 2.0e-01 * 0 * 0 * 0 43555.52 278.265 1.159 0.862118 5.0e-11 3.52e-15 3.0e-18 * 0 * 0 43555.52 156.90 2.0e-01 * 0 29.00 0 0.94 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * mol2,pks70,pksmb,htru_pks,ghrss * -387 J0955-61 J0955-61 09:55 1.0e+00 -61:48 7.0e+00 * 0 * 0 * 0 56657.00 283.629 -5.733 0.001999 0 * 0 * 0 * 0 56657.00 160.70 0 * 0 * 0 * 0 BT * 0 24.5780 0 13.2830 0 * 0 1.100e-01 0 * 0 * 0 * 0 2.17 GRS:3FGL_J0955.6-6148[aaa+15] FermiAssoc HE[ckr+15] -388 J0957-06 J0957-06 09:57 2.0e+00 -06:17 3.6e+01 * 0 * 0 * 0 56657.00 244.762 36.201 1.723700 8.0e-05 * 0 * 0 * 0 56657.00 26.95 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * gb350 RRAT -389 J0957-5432 J0957-5432 09:57:56.0 3.0e-02 -54:32:03.9 5.0e-01 * 0 * 0 * 0 51035.00 279.448 0.227 0.203557 6.0e-12 1.95e-15 4.0e-18 * 0 * 0 51035.00 226.10 3.0e-01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.45 * pksmb * -390 B0957-47 J0959-4809 09:59:26.2 9.0e-02 -48:09:47.5 7.0e-01 * 0 * 0 * 0 43557.61 275.742 5.418 0.670086 1.8e-10 8.20e-17 9.0e-18 * 0 * 0 43557.61 92.70 1.2e+00 * 0 16.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * mol2,pks70,pkssw,htru_pks * - -391 J1000-5149 J1000-5149 10:00:28.1 6.0e-03 -51:49:58.1 7.0e-02 * 0 * 0 * 0 51368.00 278.107 2.603 0.255677 2.0e-12 9.59e-16 6.0e-19 * 0 * 0 51368.00 72.80 3.0e-01 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.13 * pksmb,htru_pks * -392 B0959-54 J1001-5507 10:01:37.9 1.1e-01 -55:07:06.7 1.1e+00 * 0 * 0 * 0 46800.00 280.226 0.085 1.436583 1.2e-10 5.14e-14 1.2e-17 * 0 * 0 46800.00 130.32 1.7e-01 * 0 80.00 0 6.30 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -393 J1001-5559 J1001-5559 10:01:08.6 3.0e-02 -55:59:00.2 3.0e-01 * 0 * 0 * 0 51172.00 280.691 -0.648 1.661177 4.0e-11 8.60e-16 4.0e-18 * 0 * 0 51172.00 159.30 9.0e-01 * 0 * 0 0.64 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * pksmb,htru_pks * -394 J1001-5939 J1001-5939 10:01:32.2 1.4e-01 -59:39:17.8 7.0e-01 * 0 * 0 * 0 53069.00 282.945 -3.548 7.733640 8.0e-10 5.99e-14 3.0e-16 * 0 * 0 53069.00 113.00 3.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * pksmb,htru_pks * -395 J1002-5559 J1002-5559 10:02:57.9 3.0e-01 -55:59:37 5.0e+00 * 0 * 0 * 0 51035.00 280.901 -0.503 0.777501 3.0e-10 1.57e-15 1.9e-16 * 0 * 0 51035.00 426.00 4.0e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 * pksmb * - -396 J1002-5919 J1002-5919 10:02:20.5 5.0e-02 -59:19:37.2 6.0e-01 * 0 * 0 * 0 56677.00 282.829 -3.224 0.713489 6.0e-10 1.04e-16 1.0e-19 * 0 * 0 56677.00 347.00 2.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.17 * htru_pks * -397 B1001-47 J1003-4747 10:03:21.5 3.0e-02 -47:47:02.0 3.0e-01 * 0 * 0 * 0 43555.50 276.037 6.117 0.307072 3.0e-11 2.21e-14 1.2e-18 * 0 * 0 43555.50 98.49 8.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * mol2,pks70,pkssw,htru_pks,ghrss * -398 J1006-6311 J1006-6311 10:06:36.6 2.0e-02 -63:11:41.2 2.0e-01 * 0 * 0 * 0 49178.02 285.550 -6.029 0.835797 2.0e-10 5.73e-16 3.0e-18 * 0 * 0 49178.02 195.99 5.0e-02 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 * pks70 * -399 J1010+15 J1010+15 10:10:00 3.1e+01 +15:51 8.0e+00 * 0 * 0 * 0 * 221.258 50.980 * 0 * 0 * 0 * 0 * 42.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 RRAT -400 B1010-23 J1012-2337 10:12:33.7 3.2e-02 -23:38:22.4 5.8e-01 * 0 * 0 * 0 49874.00 262.131 26.377 2.517945 4.0e-11 8.81e-16 4.0e-19 6.000e-28 8.8e-28 * 0 49874.00 22.51 9.0e-02 * 0 4.10 8.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * mol2 * - -401 J1012-4235 J1012-4235 10:12:07 3.6e+01 -42:35 7.0e+00 * 0 * 0 * 0 56657.00 274.194 11.226 0.003101 0 * 0 * 0 * 0 56657.00 71.60 0 * 0 * 0 * 0 BT * 0 37.9720 0 21.2630 0 * 0 * 0 * 0 * 0 * 0 0.37 GRS:3FGL_J1012.0-4235[aaa+15] FermiAssoc HE[ckr+15] -402 J1012+5307 J1012+5307 10:12:33.4 5.0e-06 +53:07:02.2 6.0e-05 2.609 8.0e-03 -25.482 1.1e-02 0.710 1.7e-01 55000.00 160.347 50.858 0.005256 1.4e-17 1.71e-20 9.0e-26 * 0 * 0 55000.00 9.02 7.0e-05 * 0 30.00 0 3.20 0 ELL1 50700.2290 1.3e-02 0.6047 1.3e-11 0.5818 1.2e-07 87.80 0.0e+00 1.301e-06 0.0e+00 50700.0817 3.0e-08 1.300e-06 1.6e-07 5.000e-08 1.7e-07 0.70 OPT:[cgk98] misc HE[wob+04] -403 J1012-5830 J1012-5830 10:12:54.9 1.0e-01 -58:30:25.6 8.0e-01 * 0 * 0 * 0 51702.00 283.459 -1.762 2.133591 3.0e-10 3.77e-14 6.0e-17 * 0 * 0 51702.00 294.00 4.0e+00 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.80 * pksmb,htru_pks * -404 B1011-58 J1012-5857 10:12:48.5 3.0e-01 -58:57:40 2.0e+00 * 0 * 0 * 0 48016.20 283.706 -2.144 0.819911 3.0e-10 1.77e-14 1.0e-17 * 0 * 0 48016.20 383.90 1.0e-01 * 0 15.00 2.0e+00 1.70 1.8e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * pks1,pks70,pksmb,htru_pks * -405 J1013-5934 J1013-5934 10:13:31.8 6.0e-03 -59:34:26.7 1.0e-01 * 0 * 0 * 0 51397.00 284.130 -2.596 0.442901 4.0e-12 5.58e-16 2.0e-18 * 0 * 0 51397.00 379.78 1.7e-01 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pksmb,htru_pks * - -406 J1014-48 J1014-48 10:14:18 4.2e+01 -48:49:42 4.2e+02 * 0 * 0 * 0 55196.00 278.136 6.330 1.508800 2.0e-04 * 0 * 0 * 0 55196.00 87.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * htru_pks RRAT -407 J1015-5719 J1015-5719 10:15:37.9 4.0e-02 -57:19:12.8 2.0e-01 * 0 * 0 * 0 51476.00 283.088 -0.578 0.139882 4.0e-12 5.74e-14 1.2e-18 * 0 * 0 51476.00 278.10 2.0e-01 * 0 * 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * pksmb,htru_pks * -408 B1014-53 J1016-5345 10:16:31.2 1.0e-01 -53:45:13.8 6.0e-01 * 0 * 0 * 0 43558.48 281.201 2.451 0.769584 2.0e-10 1.93e-15 1.0e-17 * 0 * 0 43558.48 66.80 1.8e+00 * 0 3.50 0 0.82 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.12 * mol2,pks1,pksmb,htru_pks * -409 J1016-5819 J1016-5819 10:16:12.1 1.6e-02 -58:19:01.1 8.0e-02 * 0 * 0 * 0 51155.00 283.708 -1.363 0.087834 9.0e-13 6.98e-16 4.0e-19 * 0 * 0 51155.00 252.16 7.0e-02 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.59 * pksmb,htru_pks * -410 J1016-5857 J1016-5857 10:16:21.1 1.0e-02 -58:57:12.1 1.0e-01 * 0 * 0 * 0 52717.00 284.079 -1.880 0.107386 1.5e-12 8.08e-14 6.0e-19 * 0 * 0 52717.00 394.48 9.0e-02 * 0 * 0 0.46 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 SNR:G284.3-1.8(?) pksmb,htru_pks * - -411 B1015-56 J1017-5621 10:17:12.8 6.0e-02 -56:21:30.7 4.0e-01 * 0 * 0 * 0 43557.62 282.732 0.341 0.503459 8.0e-11 3.13e-15 4.0e-18 * 0 * 0 43557.62 438.70 5.0e-01 * 0 15.00 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.51 * mol2,pks1,pks70,pksmb,htru_pks * -412 J1017-7156 J1017-7156 10:17:51.3 2.0e-05 -71:56:41.6 1.1e-04 -7.310 6.0e-02 6.760 5.0e-02 3.900 1.2e+00 55329.10 291.558 -12.553 0.002339 4.0e-17 2.22e-21 7.0e-25 * 0 * 0 55329.10 94.22 3.0e-05 * 0 * 0 1.00 0 DD 55335.0641 3.0e-04 6.5119 2.0e-06 4.8300 1.1e-07 329.68 1.8e-02 1.420e-04 2.0e-08 * 0 * 0 * 0 0.26 * htru_pks * -413 B1016-16 J1018-1642 10:18:40.3 2.2e-02 -16:42:10.1 4.7e-01 * 0 * 0 * 0 49688.00 258.261 32.610 1.804695 1.0e-11 1.74e-15 1.0e-19 -3.300e-28 4.2e-28 * 0 49688.00 48.82 7.0e-02 * 0 5.10 8.0e-01 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2,pks70 * -414 J1019-5749 J1019-5749 10:19:52.1 4.0e-02 -57:49:05.9 5.0e-01 * 0 * 0 * 0 51371.00 283.837 -0.679 0.162499 8.0e-12 2.01e-14 3.0e-18 * 0 * 0 51371.00 1040.00 1.0e+00 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.91 * pksmb,htru_pks * -415 J1020-5921 J1020-5921 10:20:14.0 8.0e-02 -59:21:34 1.0e+00 * 0 * 0 * 0 51397.00 284.719 -1.944 1.238305 1.1e-10 4.05e-14 8.0e-17 * 0 * 0 51397.00 80.00 3.0e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.94 * pksmb,htru_pks * - -416 J1020-6026 J1020-6026 10:20:11.4 7.0e-02 -60:26:06.8 5.0e-01 * 0 * 0 * 0 53128.00 285.302 -2.848 0.140480 8.0e-12 6.74e-15 2.0e-18 * 0 * 0 53128.00 441.50 4.0e-01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.26 * pksmb,htru_pks * -417 J1021-5601 J1021-5601 10:21:24.8 1.5e-01 -56:01:50.9 1.1e+00 * 0 * 0 * 0 51875.00 283.041 0.935 0.670026 1.4e-10 5.34e-17 6.0e-18 * 0 * 0 51875.00 212.00 8.0e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pksmb * -418 J1022+1001 J1022+1001 10:22:57.9 1.2e-03 +10:01:52.7 4.7e-02 -14.860 4.0e-02 5.590 3.0e-02 1.425 2.5e-02 55000.00 231.795 51.101 0.016453 9.0e-17 4.33e-20 1.7e-24 * 0 * 0 54500.00 10.25 1.0e-04 * 0 20.00 9.0e+00 6.10 5.4e+00 DD 50246.7166 7.0e-04 7.8051 1.1e-06 16.7654 5.0e-07 97.68 3.0e-02 9.723e-05 1.4e-08 * 0 * 0 * 0 1.13 * ar4,gb4,pkshl * -419 J1022-5813 J1022-5813 10:22:28.1 2.0e-01 -58:13:30 4.0e+00 * 0 * 0 * 0 51398.00 284.347 -0.834 1.643726 5.0e-10 1.45e-13 3.0e-16 * 0 * 0 51398.00 714.00 8.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * -420 J1023+0038 J1023+0038 10:23:47.6 3.0e-05 +00:38:40.8 5.0e-04 4.760 3.0e-02 -17.340 4.0e-02 0.731 2.2e-02 54906.00 243.490 45.782 0.001688 3.0e-16 6.93e-21 9.0e-24 * 0 * 0 54906.00 14.32 1.0e-02 * 0 * 0 * 0 ELL1 54905.9714 3.0e-07 0.1981 3.0e-10 0.3433 3.0e-06 * 0 * 0 * 0 * 0 * 0 1.37 OPT:AY_Sex[asr+09],XRS:[akb+10] misc HE[jah+16,aps+17] - -421 J1023-5746 J1023-5746 10:23:02.9 5.0e-01 -57:46:05 2.0e+00 * 0 * 0 * 0 54856.00 284.166 -0.407 0.111472 9.0e-11 3.84e-13 1.3e-18 7.100e-21 2.0e-22 -1.090e-28 4.0e-30 54856.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.08 GRS:2FGL_J1022.7-5741[naa+12],GRS:HESS_J FermiBlind NRAD -422 J1024-0719 J1024-0719 10:24:38.6 6.4e-06 -07:19:19.5 2.0e-04 * 0 * 0 0.800 3.0e-01 56239.00 251.702 40.515 0.005162 3.0e-17 1.86e-20 5.0e-25 -3.500e-27 9.0e-28 * 0 56239.00 6.48 6.0e-04 * 0 4.60 1.2e+00 1.50 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 OPT:2MASS_10243869-0719190[kkn+16] pks70,pkshl HE[egc+13] -423 J1028-5819 J1028-5819 10:28:28.0 1.0e-01 -58:19:05.2 1.5e+00 * 0 * 0 * 0 54562.00 285.065 -0.496 0.091403 1.4e-09 1.61e-14 8.0e-16 * 0 * 0 54562.00 96.53 2.0e-03 * 0 * 0 0.36 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 GRS:2FGL_J1028.5-5819[naa+12] misc,htru_pks HE[aaa+09] -424 J1031-6117 J1031-6117 10:31:02.2 7.0e-02 -61:17:50.6 3.0e-01 * 0 * 0 * 0 51496.00 286.880 -2.881 0.306411 1.0e-11 1.78e-15 5.0e-18 * 0 * 0 51496.00 506.80 1.2e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.38 * pksmb * -425 J1032-5206 J1032-5206 10:32:27.6 7.0e-02 -52:06:08.5 6.0e-01 * 0 * 0 * 0 52161.00 282.354 5.128 2.407622 1.2e-10 1.79e-14 1.1e-17 * 0 * 0 52161.00 139.00 4.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * pksmb,htru_pks * - -426 B1030-58 J1032-5911 10:32:07 3.0e+00 -59:10 2.0e+01 * 0 * 0 * 0 44095.23 285.907 -0.980 0.464208 8.0e-09 3.00e-15 3.0e-15 * 0 * 0 44095.23 418.20 1.7e-01 * 0 14.00 0 0.93 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * mol2,pks70,pksmb,htru_pks * -427 J1034-3224 J1034-3224 10:34:19.5 2.3e-02 -32:24:26.0 3.2e-01 * 0 * 0 * 0 50705.00 272.050 22.117 1.150590 1.0e-11 2.30e-16 8.0e-20 3.500e-28 2.0e-27 * 0 50705.00 50.75 8.0e-02 * 0 41.00 0 4.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * pks70,pkssw * -428 J1035-6345 J1035-6345 10:35:03.0 1.0e-02 -63:45:18.4 6.0e-02 * 0 * 0 * 0 51875.00 288.528 -4.765 0.579577 6.0e-12 3.50e-16 1.2e-18 * 0 * 0 51875.00 189.70 9.0e-01 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * pksmb,htru_pks * -429 J1036-4926 J1036-4926 10:36:13.0 5.0e-03 -49:26:21.7 5.0e-02 * 0 * 0 * 0 48734.00 281.518 7.727 0.510368 8.0e-12 1.65e-15 1.0e-19 * 0 * 0 48734.00 136.53 1.0e-02 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.31 * pks70,pkssw,htru_pks,ghrss * -430 J1036-6559 J1036-6559 10:36:20.0 2.0e-02 -65:59:09.2 6.0e-02 * 0 * 0 * 0 55010.00 289.766 -6.630 0.533502 6.0e-11 1.36e-15 1.0e-18 * 0 * 0 55010.00 158.36 9.0e-02 * 0 * 0 0.27 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.05 * htru_pks * - -431 J1036-8317 J1036-8317 10:36 4.0e+00 -83:17 7.0e+00 * 0 * 0 * 0 56657.00 298.916 -21.495 0.003408 0 * 0 * 0 * 0 56657.00 27.00 0 * 0 * 0 * 0 BT * 0 0.3350 0 0.5060 0 * 0 * 0 * 0 * 0 * 0 0.93 GRS:3FGL_J1036.0-8317[aaa+15] FermiAssoc HE[ckr+15] -432 J1038+0032 J1038+0032 10:38:26.9 9.0e-03 +00:32:43.6 3.0e-01 * 0 * 0 * 0 53000.00 247.152 48.471 0.028852 8.0e-14 6.70e-20 7.0e-21 * 0 * 0 53000.00 26.59 2.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pkshl * -433 B1036-58 J1038-5831 10:38:19.7 1.0e-02 -58:31:27.1 8.0e-02 * 0 * 0 * 0 47910.63 286.284 -0.023 0.661992 1.1e-11 1.25e-15 3.0e-19 * 0 * 0 47910.63 72.74 3.0e-02 * 0 * 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * pks1,pksmb,htru_pks * -434 B1039-19 J1041-1942 10:41:36.1 5.0e-03 -19:42:13.6 1.1e-01 -1.000 3.0e+00 14.000 5.0e+00 * 0 48738.00 265.591 33.590 1.386368 3.0e-12 9.45e-16 2.0e-20 6.600e-29 1.0e-28 * 0 48738.00 33.78 1.0e-02 * 0 28.00 6.0e+00 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * mol2,pks70 * -435 B1039-55 J1042-5521 10:42:00.6 9.0e-02 -55:21:05.5 7.0e-01 * 0 * 0 * 0 43557.66 285.192 2.999 1.170859 4.0e-10 6.73e-15 1.6e-17 * 0 * 0 43557.66 306.50 4.0e-01 * 0 14.00 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.79 * mol2,pks1,pks70,pksmb,htru_pks * - -436 J1043-6116 J1043-6116 10:43:55.2 3.0e-02 -61:16:50.8 2.0e-01 * 0 * 0 * 0 51368.00 288.221 -2.106 0.288602 5.0e-12 1.04e-14 3.0e-18 * 0 * 0 51368.00 448.91 2.0e-02 * 0 * 0 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb,htru_pks * -437 J1044-5737 J1044-5737 10:44:32.8 1.0e-01 -57:37:19.3 8.0e-01 * 0 * 0 * 0 54800.00 286.574 1.163 0.139029 4.0e-11 5.46e-14 4.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 GRS:2FGL_J1044.5-5737[naa+12],GRS:1AGL_J FermiBlind NRAD -438 J1045-4509 J1045-4509 10:45:50.1 3.0e-05 -45:09:54.1 4.0e-04 -6.070 9.0e-02 5.200 1.0e-01 2.200 1.1e+00 54500.00 280.851 12.254 0.007474 8.0e-16 1.77e-20 5.0e-24 * 0 * 0 54500.00 58.14 0 -0.004 1.3e-04 15.00 3.0e+00 2.70 7.0e-01 ELL1 * 0 4.0835 3.0e-10 3.0151 3.0e-07 242.33 0.0e+00 2.367e-05 0.0e+00 50273.5070 3.0e-06 -2.096e-05 1.7e-07 -1.099e-05 1.6e-07 0.34 * pks70,pkssw,htru_pks,ghrss * -439 J1046+0304 J1046+0304 10:46:43.2 6.0e-02 +03:04:06.9 2.0e+00 * 0 * 0 * 0 53065.00 246.412 51.697 0.326271 4.0e-12 1.24e-16 4.0e-19 * 0 * 0 53065.00 25.30 5.0e-01 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.79 * pkshl * -440 B1044-57 J1046-5813 10:46:18.8 7.0e-02 -58:13:51.8 5.0e-01 * 0 * 0 * 0 43555.55 287.065 0.733 0.369427 6.0e-11 1.14e-15 3.0e-18 * 0 * 0 43555.55 240.20 5.0e-01 * 0 18.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.34 * mol2,pks1,pks70,pksmb,htru_pks * - -441 J1047-3032 J1047-3032 10:47:00.8 1.4e-02 -30:32:18.0 2.3e-01 * 0 * 0 * 0 51019.00 273.495 25.127 0.330328 1.9e-12 6.10e-17 2.0e-20 1.400e-26 7.0e-27 * 0 51019.00 52.54 7.0e-02 * 0 8.00 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * pks70 * -442 J1047-6709 J1047-6709 10:47:28.2 2.0e-03 -67:09:51.0 9.0e-03 * 0 * 0 * 0 49139.00 291.314 -7.132 0.198451 8.0e-13 1.69e-15 2.0e-20 * 0 * 0 49139.00 116.16 2.0e-03 * 0 4.00 0 4.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.76 * pks70,pkssw,htru_pks * -443 J1048+2339 J1048+2339 10:48:43.4 2.0e-04 +23:39:53.4 7.0e-03 -18.700 0 -9.400 0 * 0 56897.00 213.172 62.139 0.004665 1.6e-15 3.00e-20 1.8e-22 * 0 * 0 56897.00 16.65 1.0e-04 * 0 * 0 0.17 3.0e-03 ELL1 * 0 0.2505 6.0e-09 0.8361 3.0e-06 * 0 * 0 56637.5982 1.0e-06 * 0 * 0 2.00 GRS:3FGL_J1048.6+2338(?)[cck+16],OPT:CSS FermiAssoc HE -444 B1046-58 J1048-5832 10:48:12.2 1.0e-01 -58:32:05.8 8.0e-01 * 0 * 0 * 0 49790.00 287.425 0.577 0.123671 3.0e-12 9.63e-14 1.1e-18 -3.900e-22 4.0e-22 * 0 50889.00 128.68 4.0e-03 * 0 * 0 6.50 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 GRS:2FGL_J1048.2-5831[naa+12] pks1,pksmb,htru_pks HE[klm+00,aaa+09i] -445 J1048-5838 J1048-5838 10:48:12.5 1.4e-02 -58:38:19.0 1.0e-01 * 0 * 0 * 0 53510.00 287.473 0.485 1.231305 4.0e-12 1.22e-14 7.0e-20 * 0 * 0 53510.00 70.70 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * pksmb RRAT - -446 J1049-5833 J1049-5833 10:49:50.3 9.0e-02 -58:33:44.6 1.5e+00 * 0 * 0 * 0 51031.00 287.628 0.649 2.202325 3.0e-10 4.41e-15 1.5e-16 * 0 * 0 51031.00 446.80 1.5e+00 * 0 * 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * pksmb,htru_pks * -447 J1050-5953 J1050-5953 10:50:07.1 5.0e-02 -59:53:21.4 7.0e-01 * 0 * 0 * 0 51650.00 288.256 -0.520 6.452077 6.0e-07 3.81e-11 1.3e-13 * 0 * 0 51650.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.00 XRS:1E_1048.1-5937 misc AXP,NRAD -448 J1052-5954 J1052-5954 10:52:38.1 7.0e-02 -59:54:44.1 5.0e-01 * 0 * 0 * 0 51683.00 288.549 -0.400 0.180592 1.0e-11 2.00e-14 1.7e-18 * 0 * 0 51683.00 491.90 6.0e-01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pksmb * -449 J1052-6348 J1052-6348 10:52:53.3 6.0e-02 -63:48:16.6 3.0e-01 * 0 * 0 * 0 52477.00 290.294 -3.881 0.383830 1.5e-11 3.87e-16 6.0e-18 * 0 * 0 52477.00 167.50 1.4e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.99 * pksmb * -450 J1054-5943 J1054-5943 10:54:57.7 4.0e-02 -59:43:14.1 5.0e-01 * 0 * 0 * 0 51395.00 288.729 -0.100 0.346909 1.3e-11 4.07e-15 8.0e-18 * 0 * 0 51395.00 330.70 6.0e-01 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.58 * pksmb,htru_pks * - -451 J1054-5946 J1054-5946 10:54:30.4 1.0e-02 -59:46:31.0 1.0e-01 * 0 * 0 * 0 55337.00 288.701 -0.174 0.228324 8.0e-12 2.09e-16 3.0e-19 * 0 * 0 55337.00 253.90 6.0e-01 * 0 * 0 0.23 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * htru_pks * -452 J1054-6452 J1054-6452 10:54:08.8 1.6e-01 -64:52:37.5 8.0e-01 * 0 * 0 * 0 51875.00 290.889 -4.784 1.840004 3.0e-10 3.14e-15 5.0e-17 * 0 * 0 51875.00 234.00 4.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.34 * pksmb,htru_pks * -453 J1055-6022 J1055-6022 10:55:48.5 4.0e-01 -60:22:52 3.0e+00 * 0 * 0 * 0 52746.00 289.109 -0.650 0.947558 3.0e-10 9.24e-14 1.2e-16 * 0 * 0 52746.00 590.00 5.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 * pksmb * -454 J1055-6028 J1055-6028 10:55:39.1 2.0e-02 -60:28:37.5 2.0e-01 * 0 * 0 * 0 54362.20 289.133 -0.745 0.099661 3.0e-12 2.95e-14 5.0e-19 * 0 * 0 54362.20 636.50 1.0e-01 * 0 * 0 0.78 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.83 GRS:[hsg+14] pksmb,htru_pks HE -455 J1055-6236 J1055-6236 10:55:54.6 7.0e-02 -62:36:48.3 4.0e-01 * 0 * 0 * 0 51703.00 290.081 -2.660 0.448635 3.0e-11 7.08e-16 7.0e-18 * 0 * 0 51703.00 149.70 1.5e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * pksmb,htru_pks * - -456 J1055-6905 J1055-6905 10:55:44.7 9.0e-02 -69:05:11.4 4.0e-01 * 0 * 0 * 0 51500.00 292.879 -8.504 2.919397 3.0e-10 2.03e-14 1.5e-17 * 0 * 0 51500.00 142.80 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.03 * pkssw,htru_pks * -457 J1056-5709 J1056-5709 10:56:43.7 1.2e-01 -57:09:34.5 1.2e+00 * 0 * 0 * 0 51216.00 287.835 2.311 0.676082 8.0e-11 5.76e-16 1.4e-17 * 0 * 0 51216.00 436.50 1.8e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb * -458 B1054-62 J1056-6258 10:56:25.5 6.0e-02 -62:58:47.6 4.0e-01 * 0 * 0 * 0 46917.00 290.292 -2.966 0.422447 1.6e-11 3.58e-15 1.1e-18 * 0 * 0 46800.00 320.30 6.0e-01 * 0 45.00 0 21.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * mol2,pks1,pks70,pksmb,htru_pks * -459 J1056-7117 J1056-7117 10:56:45.9 4.0e-03 -71:17:53.3 1.4e-02 * 0 * 0 * 0 57436.50 293.933 -10.458 0.026310 7.0e-13 6.30e-20 7.0e-21 * 0 * 0 57436.50 93.04 4.0e-02 * 0 * 0 0.34 0 ELL1 * 0 9.1388 5.0e-07 4.1486 2.0e-05 153.43 0.0e+00 1.342e-05 0.0e+00 57436.5353 7.0e-05 6.000e-06 8.0e-06 -1.200e-05 1.0e-07 1.69 * htru_pks * -460 J1057-4754 J1057-4754 10:57:53.1 7.0e-03 -47:54:57.6 9.0e-02 * 0 * 0 * 0 53000.00 284.007 10.739 0.628306 7.0e-12 2.25e-16 2.0e-19 * 0 * 0 53000.00 60.00 8.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.64 * pkssw,htru_pks * - -461 B1055-52 J1057-5226 10:57:58.9 1.6e-02 -52:26:56.2 1.5e-01 42.000 5.0e+00 -3.000 5.0e+00 * 0 54530.00 285.984 6.649 0.197108 1.5e-11 5.83e-15 7.0e-19 * 0 * 0 43555.62 29.69 1.0e-02 * 0 80.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.09 XRS:[of93],GRS:2FGL_J1057.9-5226[naa+12] mol1,mol2,pks70,pkssw,htru_pks HE[aaa+10m] -462 J1057-5851 J1057-5851 10:57:09.5 2.0e-01 -58:51:07 2.0e+00 * 0 * 0 * 0 55716.00 288.609 0.805 0.620365 1.2e-10 1.01e-13 4.0e-18 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1056.7-5853[aaa+15] FermiBlind NRAD -463 B1056-78 J1057-7914 10:57:27.4 3.0e-01 -79:14:24.2 6.0e-01 * 0 * 0 * 0 43558.50 297.571 -17.574 1.347402 4.0e-10 1.33e-15 1.6e-17 * 0 * 0 43558.50 51.00 2.0e+00 * 0 6.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.44 * mol2,pks70 * -464 J1058-5957 J1058-5957 10:58:34.2 3.0e-02 -59:57:36.4 3.0e-01 * 0 * 0 * 0 51446.00 289.241 -0.123 0.616270 1.6e-11 6.57e-16 4.0e-18 * 0 * 0 51446.00 334.00 1.1e+00 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.59 * pksmb,htru_pks * -465 B1056-57 J1059-5742 10:59:00.9 6.0e-02 -57:42:14.2 4.0e-01 * 0 * 0 * 0 47688.47 288.345 1.948 1.184999 3.0e-11 4.30e-15 1.0e-18 * 0 * 0 47688.47 108.70 3.0e-01 * 0 19.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * mol2,pks1,pks70,pksmb,htru_pks * - -466 J1101-6101 J1101-6101 11:01:44.9 9.0e-02 -61:01:39.6 7.0e-01 * 0 * 0 * 0 56494.00 290.040 -0.932 0.062800 6.0e-09 8.56e-15 6.0e-16 * 0 * 0 56494.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 SNR:G290.1-0.8(MSH_11-61A)[htg+14] misc NRAD -467 J1101-6424 J1101-6424 11:01:37.1 5.0e-04 -64:24:39.3 2.0e-03 * 0 * 0 * 0 56597.00 291.417 -4.023 0.005109 2.0e-15 1.80e-21 2.0e-22 * 0 * 0 56597.00 207.00 0 * 0 * 0 0.27 0 ELL1 * 0 9.6117 3.0e-07 14.0247 3.0e-05 85.53 0.0e+00 2.568e-05 0.0e+00 55689.0079 3.0e-05 2.560e-05 1.3e-06 2.000e-06 1.2e-06 2.17 * htru_pks * -468 J1101+65 J1101+65 11:02 3.0e+00 +65:07 1.8e+01 * 0 * 0 * 0 56292.00 139.820 48.266 3.631320 5.3e-04 * 0 * 0 * 0 56292.00 19.00 3.0e+00 * 0 10.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * gbncc * -469 J1103-5403 J1103-5403 11:03:33.2 3.0e-03 -54:03:43.2 1.6e-02 * 0 * 0 * 0 55300.00 287.421 5.529 0.003393 4.0e-14 3.68e-21 1.0e-21 * 0 * 0 55300.00 103.92 3.0e-03 * 0 * 0 0.18 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 GRS:2FGL_J1103.9-5356[naa+12] FermiAssoc HE[kjr+11] -470 J1103-6025 J1103-6025 11:03:31.4 2.0e-02 -60:25:36.3 9.0e-02 * 0 * 0 * 0 51489.00 289.994 -0.294 0.396587 5.0e-12 9.90e-16 1.9e-18 * 0 * 0 51489.00 275.90 3.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 * pksmb,htru_pks * - -471 J1104-6103 J1104-6103 11:04:17.2 1.1e-02 -61:03:03.8 8.0e-02 * 0 * 0 * 0 49177.00 290.331 -0.828 0.280905 1.8e-12 1.97e-15 2.0e-19 * 0 * 0 49177.00 78.51 1.5e-02 * 0 5.00 1.0e-01 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * misc,pksmb,htru_pks * -472 J1105-43 J1105-43 11:05:24 0 -43:57:01 0 * 0 * 0 * 0 55561.00 283.511 14.886 0.351100 0 * 0 * 0 * 0 55561.00 45.50 1.0e+00 * 0 * 0 0.17 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.14 * htru_pks * -473 J1105-6037 J1105-6037 11:05:00.4 4.0e-02 -60:37:16.3 3.0e-01 * 0 * 0 * 0 55716.00 290.239 -0.399 0.194938 4.0e-12 2.18e-14 8.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1104.9-6036[aaa+15] FermiBlind NRAD -474 J1105-6107 J1105-6107 11:05:26.1 4.0e-02 -61:07:51.4 3.0e-01 * 0 * 0 * 0 49789.00 290.490 -0.846 0.063193 8.0e-12 1.58e-14 4.0e-19 -5.400e-23 1.8e-25 * 0 50794.00 271.24 1.0e-02 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.36 XRS:PWN[gk98] misc,pksmb,htru_pks * -475 J1106-6438 J1106-6438 11:06:28.4 1.4e-01 -64:39:00.0 6.0e-01 * 0 * 0 * 0 51875.00 291.992 -4.031 2.717934 3.0e-10 2.33e-15 7.0e-17 * 0 * 0 51875.00 203.00 3.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * pksmb,htru_pks * - -476 J1107-5907 J1107-5907 11:07:34.4 4.0e-02 -59:07:18.7 3.0e-01 * 0 * 0 * 0 53089.00 289.944 1.106 0.252773 6.0e-12 9.01e-18 1.0e-18 * 0 * 0 53089.00 40.20 1.1e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * pksmb,htru_pks * -477 B1105-59 J1107-5947 11:07:58.7 3.0e-01 -59:47:04 3.0e+00 * 0 * 0 * 0 43558.51 290.249 0.515 1.516531 1.2e-09 3.40e-16 5.0e-17 * 0 * 0 43558.51 158.40 1.1e+00 * 0 7.00 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * mol2,pks70,pksmb,htru_pks * -478 J1107-6143 J1107-6143 11:07:12.3 2.0e-01 -61:43:59 3.0e+00 * 0 * 0 * 0 51397.00 290.921 -1.316 1.799396 4.0e-10 1.56e-13 2.0e-16 * 0 * 0 51397.00 406.00 3.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.94 * pksmb,htru_pks * -479 B1107-56 J1110-5637 11:10:00.4 2.0e-02 -56:37:32.9 2.0e-01 * 0 * 0 * 0 48338.54 289.279 3.533 0.558253 7.0e-12 2.06e-15 5.0e-19 * 0 * 0 48338.54 262.56 6.0e-02 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.45 * pks1,pks70,pksmb,htru_pks * -480 J1110+58 J1110+58 11:11 3.0e+00 +58:52 1.8e+01 * 0 * 0 * 0 56292.00 144.740 53.801 0.793348 2.1e-05 * 0 * 0 * 0 56292.00 26.00 1.0e+00 * 0 1.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gbncc * - -481 J1112-6103 J1112-6103 11:12:14.8 4.0e-02 -61:03:31.1 6.0e-01 * 0 * 0 * 0 51055.00 291.221 -0.462 0.064962 3.0e-12 3.15e-14 1.3e-18 * 0 * 0 51055.00 599.10 7.0e-01 * 0 * 0 1.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 XRS:[pb15] pksmb,htru_pks * -482 B1110-65 J1112-6613 11:12:38.5 9.0e-02 -66:13:04.8 5.0e-01 * 0 * 0 * 0 43555.62 293.190 -5.233 0.334213 6.0e-11 8.24e-16 3.0e-18 * 0 * 0 43555.62 249.30 1.0e+00 * 0 19.00 3.0e+00 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * mol2,pks70,pkssw,pksmb,htru_pks * -483 B1110-69 J1112-6926 11:12:51.0 1.0e-01 -69:26:31.0 5.0e-01 * 0 * 0 * 0 43557.68 294.423 -8.215 0.820484 1.6e-10 2.84e-15 8.0e-18 * 0 * 0 43557.68 148.40 1.0e+00 * 0 13.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.08 * mol2,pks70,pkssw,htru_pks * -484 B1112-60 J1114-6100 11:14:22.5 2.0e-02 -61:00:34.2 1.0e-01 * 0 * 0 * 0 47910.64 291.443 -0.322 0.880820 2.0e-11 4.61e-14 6.0e-19 * 0 * 0 47910.64 677.00 4.0e-01 * 0 * 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.48 * pks1,pksmb,htru_pks * -485 B1112+50 J1115+5030 11:15:38.4 5.0e-03 +50:30:12.2 5.0e-02 22.000 3.0e+00 -51.000 3.0e+00 * 0 49334.00 154.408 60.365 1.656440 3.0e-12 2.49e-15 2.0e-20 -1.400e-28 1.2e-28 * 0 49334.00 9.19 2.6e-04 * 0 12.00 2.0e+00 3.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * gb1,gb2,gb4,gbncc * - -486 J1115-6052 J1115-6052 11:15:53.6 3.0e-02 -60:52:17.8 5.0e-01 * 0 * 0 * 0 51031.00 291.564 -0.126 0.259777 9.0e-12 7.23e-15 5.0e-18 * 0 * 0 51031.00 226.92 5.0e-02 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.18 * pksmb,htru_pks * -487 B1114-41 J1116-4122 11:16:43.0 1.0e-02 -41:22:43.9 1.0e-01 -1.000 5.0e+00 7.000 2.0e+01 * 0 51360.00 284.451 18.069 0.943158 7.0e-12 7.95e-15 4.0e-19 * 0 * 0 48383.00 40.53 3.0e-02 * 0 26.00 0 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.28 * mol2,pks70,pkssw * -488 J1117-6154 J1117-6154 11:17:23.8 9.0e-02 -61:54:22 1.0e+00 * 0 * 0 * 0 51397.00 292.102 -1.028 0.505097 5.0e-11 1.25e-14 3.0e-17 * 0 * 0 51397.00 493.60 9.0e-01 * 0 * 0 0.68 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * pksmb,htru_pks * -489 J1117-6447 J1117-6447 11:17:45.0 4.0e-01 -64:47:58 2.0e+00 * 0 * 0 * 0 51703.00 293.167 -3.719 1.155272 3.0e-10 2.40e-16 7.0e-17 * 0 * 0 51703.00 303.00 6.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * pksmb * -490 J1119-6127 J1119-6127 11:19:14.3 2.0e-02 -61:27:49.5 2.0e-01 * 0 * 0 * 0 52109.85 292.151 -0.537 0.407963 9.0e-11 4.02e-12 1.7e-18 6.389e-22 4.0e-25 * 0 52109.85 704.80 2.0e-01 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.40 SNR:G292.2-0.5[cgk+01] pksmb,htru_pks HE[gkc+07] - -491 B1118-79 J1119-7936 11:19:40.8 3.0e-01 -79:36:30.3 8.0e-01 * 0 * 0 * 0 43557.71 298.705 -17.498 2.280597 7.0e-10 3.67e-15 4.0e-17 * 0 * 0 43557.71 27.40 1.4e+00 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * mol2 * -492 J1120-3618 J1120-3618 11:20:22.4 9.0e-02 -36:18:32.2 2.2e+00 * 0 * 0 * 0 55927.00 283.125 23.036 0.005550 0 * 0 * 0 * 0 55927.00 45.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.95 * misc * -493 B1119-54 J1121-5444 11:21:19.1 1.4e-02 -54:44:05.5 2.0e-01 * 0 * 0 * 0 43556.75 290.083 5.873 0.535783 3.0e-11 2.77e-15 1.2e-18 * 0 * 0 43556.75 204.70 6.0e-01 * 0 24.00 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.32 * mol2,pks70,pksmb,pkssw,htru_pks * -494 J1123-4844 J1123-4844 11:23:15.6 2.0e-03 -48:44:22.7 4.0e-02 * 0 * 0 * 0 49542.28 288.295 11.610 0.244838 7.0e-12 6.54e-17 2.0e-19 * 0 * 0 49542.28 92.92 3.0e-03 * 0 8.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.86 * pks70,pkssw,htru_pks * -495 J1123-6102 J1123-6102 11:23:41.7 6.0e-02 -61:02:06.2 3.0e-01 * 0 * 0 * 0 51155.00 292.509 0.049 0.640234 3.0e-11 6.46e-15 8.0e-18 * 0 * 0 51155.00 439.40 4.0e-01 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 * pksmb,htru_pks * - -496 J1123-6259 J1123-6259 11:23:55.5 1.2e-02 -62:59:10.7 9.0e-02 * 0 * 0 * 0 50432.00 293.183 -1.783 0.271434 3.0e-12 5.25e-15 8.0e-20 * 0 * 0 50432.00 223.26 3.0e-02 * 0 11.00 0 0.56 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * pks70,pksmb,htru_pks * -497 J1123-6651 J1123-6651 11:23:52.2 5.0e-03 -66:51:49.0 2.0e-02 * 0 * 0 * 0 49139.00 294.469 -5.442 0.232976 2.0e-12 2.75e-15 3.0e-20 * 0 * 0 49139.00 111.20 5.0e-03 * 0 8.00 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * pks70,pksmb,htru_pks * -498 J1124-3653 J1124-3653 11:24 0 -36:00 0 * 0 * 0 * 0 55196.00 283.742 23.592 0.002410 0 * 0 * 0 * 0 55196.00 44.90 0 * 0 0.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 GRS:2FGL_J1124.2-3654[naa+12] FermiAssoc HE -499 J1124-5638 J1124-5638 11:24:56.4 6.0e-02 -56:38:39.7 5.0e-01 * 0 * 0 * 0 51752.00 291.209 4.246 0.185560 1.1e-11 9.00e-18 5.0e-18 * 0 * 0 51752.00 289.50 1.6e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 * pksmb,htru_pks * -500 J1124-5916 J1124-5916 11:24:39.0 1.0e-01 -59:16:19 1.0e+00 * 0 * 0 * 0 54683.28 292.038 1.752 0.135477 1.7e-10 7.53e-13 1.7e-17 -8.600e-22 4.0e-23 * 0 54683.28 330.00 2.0e+00 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 SNR:G292.0+1.8,GRS:2FGL_J1124.6-5913[naa misc HE[hsp+03] - -501 J1124-6421 J1124-6421 11:24:59.5 1.0e-01 -64:21:17 1.0e+00 * 0 * 0 * 0 51400.00 293.747 -3.036 0.479099 7.0e-11 6.20e-16 3.0e-17 * 0 * 0 51400.00 298.00 3.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * pksmb,htru_pks * -502 J1125-5825 J1125-5825 11:25:44.3 5.0e-05 -58:25:16.8 4.0e-04 -10.000 3.0e-01 2.400 3.0e-01 * 0 55126.30 291.893 2.602 0.003102 1.6e-16 6.09e-20 2.0e-24 * 0 * 0 55126.30 124.79 8.0e-04 * 0 * 0 0.86 0 DD 55181.5562 1.5e-03 76.4032 5.0e-08 33.6384 8.0e-07 260.13 7.0e-03 2.572e-04 3.0e-08 * 0 * 0 * 0 1.74 GRS:2FGL_J1125.0-5821[kjb+12] htru_pks HE -503 J1125-6014 J1125-6014 11:25:55.2 4.0e-04 -60:14:06.6 4.0e-03 * 0 * 0 * 0 53141.00 292.504 0.894 0.002630 8.0e-16 4.01e-21 9.0e-23 * 0 * 0 53141.00 52.95 1.4e-02 * 0 * 0 0.05 0 ELL1 * 0 8.7526 5.0e-08 8.3392 5.0e-06 273.58 0.0e+00 8.016e-07 0.0e+00 53171.5856 1.1e-06 -8.000e-07 1.3e-07 5.000e-08 1.2e-06 0.99 * pksmb,htru_pks * -504 J1125+7819 J1125+7819 11:25:59.8 1.1e-04 +78:19:48.7 3.1e-04 * 0 * 0 11.000 8.0e+00 57017.00 128.289 37.895 0.004202 1.8e-16 6.96e-21 1.8e-23 * 0 * 0 57017.00 11.73 1.5e-01 * 0 17.10 0 * 0 ELL1 * 0 15.3554 1.3e-08 12.1924 7.0e-07 274.55 0.0e+00 1.286e-05 0.0e+00 57017.3813 1.6e-07 -1.282e-05 1.6e-07 1.020e-06 1.9e-07 0.88 * gbncc * -505 J1126-27 J1126-27 11:26 2.0e+00 -27:37 3.6e+01 * 0 * 0 * 0 56657.00 280.682 31.537 0.358161 8.0e-06 * 0 * 0 * 0 56657.00 26.86 7.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.44 * gbncc RRAT - -506 J1126-38 J1126-38 11:26:18 3.0e+01 -38:38 7.0e+00 * 0 * 0 * 0 57388.00 285.214 21.292 0.887550 1.0e-05 * 0 * 0 * 0 57388.00 46.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * pks_superb * -507 B1124-60 J1126-6054 11:26:52.6 1.1e-02 -60:54:39.9 7.0e-02 * 0 * 0 * 0 47909.90 292.834 0.292 0.202737 3.0e-12 2.81e-16 8.0e-20 * 0 * 0 47909.90 280.27 3.0e-02 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pks1,pksmb,htru_pks * -508 J1126-6942 J1126-6942 11:26:21.6 2.0e-02 -69:42:15.3 2.0e-01 * 0 * 0 * 0 49524.42 295.631 -8.048 0.579416 2.0e-10 3.30e-15 4.0e-18 * 0 * 0 49524.42 55.33 2.0e-02 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.18 * pks70,pkssw,htru_pks * -509 J1128-6219 J1128-6219 11:28:46.7 2.0e-01 -62:19:09 2.0e+00 * 0 * 0 * 0 51660.00 293.495 -0.972 0.515984 1.1e-10 1.10e-17 5.0e-18 * 0 * 0 51660.00 675.00 9.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.40 * pksmb,htru_pks * -510 J1129-53 J1129-53 11:29:21 3.6e+01 -53:31 1.5e+01 * 0 * 0 * 0 54831.00 290.798 7.410 1.062880 5.0e-06 * 0 * 0 * 0 54831.00 77.00 2.5e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * pkssw RRAT - -511 J1130-5826 J1130-5826 11:30:16.3 3.0e-02 -58:26:02.3 3.0e-01 * 0 * 0 * 0 51696.00 292.460 2.778 0.162323 3.0e-12 1.59e-17 1.9e-19 * 0 * 0 51696.00 261.10 7.0e-01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.41 * pksmb * -512 J1130-5925 J1130-5925 11:30:10.4 1.0e-01 -59:25:34.1 7.0e-01 * 0 * 0 * 0 51172.00 292.755 1.830 0.680984 6.0e-11 9.52e-16 7.0e-18 * 0 * 0 51172.00 264.40 1.6e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * pksmb * -513 J1130-6807 J1130-6807 11:30:31.9 3.0e-03 -68:07:28.5 2.0e-02 * 0 * 0 * 0 50145.25 295.484 -6.431 0.256353 8.0e-13 4.60e-16 2.0e-20 * 0 * 0 50145.25 148.73 4.0e-03 * 0 8.00 0 0.55 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.97 * pks70,htru_pks * -514 J1132-46 J1132-46 11:32:33 0 -46:55:06 0 * 0 * 0 * 0 55561.00 289.200 13.839 0.325400 0 * 0 * 0 * 0 55561.00 120.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 * htru_pks * -515 J1132-5627 J1132-5627 11:32:15.7 4.0e-02 -56:27:28.9 7.0e-01 * 0 * 0 * 0 52165.00 292.110 4.741 0.175166 1.0e-11 6.80e-17 4.0e-18 * 0 * 0 52165.00 305.70 8.0e-01 * 0 * 0 0.09 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.91 * pksmb,htru_pks * - -516 B1131-62 J1133-6250 11:33:51.4 7.0e-02 -62:50:50.6 4.0e-01 * 0 * 0 * 0 50013.17 294.213 -1.296 1.022875 9.0e-11 4.52e-16 2.0e-18 * 0 * 0 50013.17 567.80 5.0e-01 * 0 * 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.45 * pks1,pksmb,htru_pks * -517 J1135-49 J1135-49 11:35:56 4.2e+01 -49:25:31 4.2e+02 * 0 * 0 * 0 * 290.526 11.619 * 0 * 0 * 0 * 0 * 114.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.13 * htru_pks RRAT -518 J1135-6055 J1135-6055 11:35 0 -60:55 0 * 0 * 0 * 0 55000.00 293.775 0.589 0.114943 0 7.93e-14 0 * 0 * 0 55000.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -519 B1133+16 J1136+1551 11:36:03.2 1.8e-03 +15:51:04.4 5.0e-02 -74.000 4.0e-01 368.100 3.0e-01 2.800 1.6e-01 46407.00 241.902 69.195 1.187913 3.0e-12 3.73e-15 9.0e-21 8.700e-28 5.0e-29 * 0 46407.00 4.84 3.4e-04 * 0 257.00 5.3e+01 32.00 5.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 XRS:[kpg06a] misc,mol2,ar4,gb4 * -520 B1133-55 J1136-5525 11:36:02.1 8.0e-02 -55:25:08.3 8.0e-01 * 0 * 0 * 0 46800.00 292.308 5.890 0.364706 2.0e-11 8.22e-15 1.5e-18 * 0 * 0 46800.00 85.50 7.0e-01 * 0 23.00 0 4.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * mol2,pks70,pkssw,htru_pks * - -521 J1137-6700 J1137-6700 11:37:32.0 1.0e-02 -67:00:33.0 8.0e-02 * 0 * 0 * 0 49139.00 295.793 -5.167 0.556216 2.0e-11 7.17e-17 4.0e-19 * 0 * 0 49139.00 228.04 9.0e-03 * 0 14.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 * pks70,pksmb,htru_pks * -522 J1138-6207 J1138-6207 11:38:21.6 3.0e-02 -62:07:59.3 3.0e-01 * 0 * 0 * 0 51171.00 294.506 -0.463 0.117564 3.0e-12 1.25e-14 5.0e-19 * 0 * 0 51171.00 520.40 4.0e-01 * 0 * 0 0.49 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 * pksmb,htru_pks * -523 J1141-3107 J1141-3107 11:41:25.6 1.0e-02 -31:07:52.6 2.0e-01 * 0 * 0 * 0 49765.90 285.746 29.393 0.538432 4.0e-12 1.96e-15 2.0e-19 * 0 * 0 49765.90 30.77 3.0e-02 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.78 * pks70,pkssw * -524 J1141-3322 J1141-3322 11:41:42.7 4.1e-03 -33:22:37.4 6.4e-02 * 0 * 0 * 0 51019.00 286.586 27.272 0.291468 4.0e-12 4.63e-16 5.0e-20 -3.090e-25 1.8e-26 * 0 51019.00 46.45 1.7e-02 * 0 8.00 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.85 * pks70,pkssw * -525 J1141-6545 J1141-6545 11:41:07.0 2.0e-04 -65:45:19.1 1.5e-03 * 0 * 0 * 0 54637.00 295.791 -3.863 0.393899 7.0e-13 4.31e-15 1.3e-19 * 0 * 0 54637.00 116.08 1.0e-03 * 0 * 0 3.30 5.0e-01 DD 51369.8546 9.0e-07 0.1977 1.0e-10 1.8589 6.0e-06 42.46 1.6e-03 1.719e-01 2.0e-06 * 0 * 0 * 0 3.00 OPT:[abw+11] pksmb,htru_pks * - -526 J1142+0119 J1142+0119 11:42 0 +01:19 0 * 0 * 0 * 0 55561.00 267.202 59.283 0.005070 0 * 0 * 0 * 0 55561.00 19.20 0 * 0 * 0 * 0 BT * 0 1.5800 0 * 0 * 0 * 0 * 0 * 0 * 0 2.18 GRS:2FGL_J1142.9+0121[naa+12] FermiAssoc * -527 J1142-6230 J1142-6230 11:42:52.5 3.0e-01 -62:30:03.9 1.0e+00 * 0 * 0 * 0 51137.00 295.110 -0.675 0.558383 1.0e-10 7.79e-17 3.5e-17 * 0 * 0 51137.00 343.80 1.7e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.48 * pksmb,htru_pks * -528 J1143-5158 J1143-5158 11:43:15.0 5.0e-03 -51:58:39.8 5.0e-02 * 0 * 0 * 0 48917.00 292.383 9.492 0.675646 8.0e-12 6.95e-16 2.0e-19 * 0 * 0 48917.00 159.03 2.0e-02 * 0 7.00 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * pks70,htru_pks,ghrss * -529 J1143-5536 J1143-5536 11:43:09.7 2.0e-02 -55:36:04.5 1.0e-01 * 0 * 0 * 0 55213.00 293.334 5.993 0.685358 4.0e-11 4.85e-16 2.0e-18 * 0 * 0 55213.00 185.00 1.0e-01 * 0 * 0 0.25 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.22 * htru_pks * -530 J1144-6146 J1144-6146 11:44:34.8 3.0e-01 -61:46:49 3.0e+00 * 0 * 0 * 0 51032.00 295.116 0.073 0.987783 1.6e-10 -3.81e-17 8.9e-17 * 0 * 0 51032.00 78.70 1.3e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 * pksmb,htru_pks * - -531 J1144-6217 J1144-6217 11:44:02.1 5.0e-02 -62:17:30.3 4.0e-01 * 0 * 0 * 0 51110.00 295.186 -0.438 0.850665 4.0e-11 3.08e-14 7.0e-18 * 0 * 0 51110.00 284.70 6.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.65 * pksmb,htru_pks * -532 B1143-60 J1146-6030 11:46:07.7 4.0e-02 -60:30:59.4 3.0e-01 * 0 * 0 * 0 43555.65 294.977 1.343 0.273372 3.0e-11 1.79e-15 1.1e-18 * 0 * 0 43555.65 111.68 7.0e-02 * 0 17.00 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * mol2,pks1,pks70,pksmb,htru_pks * -533 J1147-66 J1147-66 11:47 0 -66 0 * 0 * 0 * 0 56158.00 296.436 -3.944 0.003720 0 * 0 * 0 * 0 56158.00 133.80 0 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * pksmb * -534 J1148-5725 J1148-5725 11:48:28.5 1.9e-01 -57:25:12.6 1.7e+00 * 0 * 0 * 0 52837.00 294.507 4.418 3.559937 7.0e-10 1.11e-14 1.3e-16 * 0 * 0 52837.00 174.00 5.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.06 * pksmb * -535 J1148-6415 J1148-6415 11:48:37.8 5.0e-01 -64:15:33 3.0e+00 * 0 * 0 * 0 51474.00 296.177 -2.214 3.241029 8.0e-10 2.70e-15 4.0e-16 * 0 * 0 51474.00 241.00 6.0e+00 * 0 * 0 0.06 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.45 * pksmb * - -536 J1151-6108 J1151-6108 11:51:56.8 2.0e-02 -61:08:17.6 3.0e-01 * 0 * 0 * 0 56714.00 295.814 0.909 0.101633 2.0e-12 1.03e-14 1.0e-18 * 0 * 0 56714.00 216.00 1.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.22 * htru_pks * -537 J1152-5800 J1152-5800 11:52:10.0 4.0e-01 -58:00:34 4.0e+00 * 0 * 0 * 0 52746.00 295.126 3.961 1.789829 5.0e-10 1.28e-15 3.0e-16 * 0 * 0 52746.00 191.00 7.0e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.16 * pksmb * -538 J1152-6012 J1152-6012 11:52:53.8 1.0e-01 -60:12:21 1.0e+00 * 0 * 0 * 0 51397.00 295.716 1.843 0.376570 5.0e-11 6.69e-15 1.9e-17 * 0 * 0 51397.00 74.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * pksmb,htru_pks * -539 J1153-21 J1153-21 11:53 2.0e+00 -21:18 3.6e+01 * 0 * 0 * 0 56657.00 285.188 39.550 2.343480 5.0e-05 * 0 * 0 * 0 56657.00 34.80 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * gbncc RRAT -540 J1154-6250 J1154-6250 11:54:20.1 1.0e-01 -62:50:02.7 7.0e-01 * 0 * 0 * 0 51464.00 296.467 -0.681 0.282012 3.0e-11 5.59e-16 5.0e-18 * 0 * 0 51464.00 74.00 6.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * pksmb * - -541 J1156-5707 J1156-5707 11:56:07.4 4.0e-02 -57:07:01.9 5.0e-01 * 0 * 0 * 0 52149.00 295.448 4.949 0.288409 8.0e-12 2.65e-14 5.0e-18 * 0 * 0 52149.00 243.20 1.0e-01 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.85 * pksmb * -542 J1156-5909 J1156-5909 11:56:21.5 1.0e-01 -59:09:12.3 3.0e-01 * 0 * 0 * 0 49314.78 295.912 2.966 1.037931 9.0e-10 1.02e-15 2.0e-17 * 0 * 0 49314.78 219.20 1.0e-01 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * pks70 * -543 J1157-5112 J1157-5112 11:57:08.1 1.0e-03 -51:12:56.1 3.0e-02 * 0 * 0 * 0 51400.00 294.325 10.746 0.043589 1.2e-13 1.43e-19 1.0e-20 * 0 * 0 51400.00 39.67 4.0e-02 * 0 * 0 * 0 ELL1 * 0 3.5074 3.0e-08 14.2863 3.0e-05 143.39 0.0e+00 4.024e-04 0.0e+00 51216.4443 1.3e-06 2.400e-04 4.0e-06 -3.230e-04 4.0e-06 0.96 * pkssw * -544 B1154-62 J1157-6224 11:57:15.2 1.6e-02 -62:24:50.8 1.3e-01 * 0 * 0 * 0 46901.00 296.705 -0.199 0.400522 4.0e-12 3.93e-15 3.0e-19 * 0 * 0 46800.00 325.20 5.0e-01 * 0 145.00 0 5.90 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -545 J1159-6409 J1159-6409 11:59:21.7 1.0e-01 -64:09:57 1.0e+00 * 0 * 0 * 0 51767.00 297.295 -1.865 0.667486 6.0e-11 2.40e-17 4.0e-18 * 0 * 0 51767.00 178.00 5.0e+00 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.04 * pksmb,htru_pks * - -546 J1159-7910 J1159-7910 11:59:35.7 8.0e-02 -79:10:05.6 3.0e-01 * 0 * 0 * 0 49524.41 300.412 -16.551 0.525074 3.0e-10 2.82e-15 6.0e-18 * 0 * 0 49524.41 59.24 2.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.61 * pks70,pkssw * -547 J1201-6306 J1201-6306 12:01:23.0 1.0e-02 -63:06:59.5 8.0e-01 * 0 * 0 * 0 51676.00 297.309 -0.793 0.592136 5.0e-11 3.56e-15 1.1e-17 * 0 * 0 51676.00 683.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.54 * pksmb * -548 B1159-58 J1202-5820 12:02:28.4 1.6e-02 -58:20:33.4 2.0e-01 * 0 * 0 * 0 43555.69 296.528 3.919 0.452801 1.9e-11 2.13e-15 9.0e-19 * 0 * 0 43555.69 145.41 1.9e-01 * 0 23.00 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.89 * mol2,pks1,pks70,pksmb,htru_pks * -549 J1204-6843 J1204-6843 12:04:36.7 1.0e-02 -68:43:17.1 8.0e-02 * 0 * 0 * 0 51500.00 298.684 -6.237 0.308861 1.9e-12 2.17e-16 1.9e-19 * 0 * 0 51500.00 133.93 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * pkssw,htru_pks * -550 J1207-5050 J1207-5050 12:07:21.8 4.0e-02 -50:50:30.3 1.4e+00 * 0 * 0 * 0 55561.00 295.859 11.424 0.004840 0 * 0 * 0 * 0 55561.00 50.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 GRS:2FGL_J1207.3-5055[naa+12] FermiAssoc * - -551 J1208-6238 J1208-6238 12:08:13.9 6.0e-02 -62:38:03.3 4.0e-01 * 0 * 0 * 0 56040.00 297.990 -0.178 0.440591 1.4e-11 3.27e-12 1.0e-18 3.200e-22 1.0e-23 * 0 56040.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1208.4-6239[aaa+15] FermiBlind NRAD -552 J1210-5226 J1210-5226 12:10:00.9 7.0e-02 -52:26:28.4 6.0e-01 * 0 * 0 * 0 53562.00 296.545 9.916 0.424131 1.2e-11 2.22e-17 1.7e-19 * 0 * 0 53562.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 SNR:G296.5+10.0,XRS:1E_1207.4-5209 misc NRAD -553 J1210-5559 J1210-5559 12:10:05.9 2.0e-03 -55:59:03.9 2.0e-02 * 0 * 0 * 0 49020.00 297.136 6.421 0.279767 9.0e-13 7.26e-16 2.0e-20 * 0 * 0 49020.00 174.35 3.0e-03 * 0 23.00 0 2.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.37 * pks70,pkssw,htru_pks * -554 J1210-6550 J1210-6550 12:10:42.0 3.0e-01 -65:50:04.6 1.9e+00 * 0 * 0 * 0 52499.00 298.774 -3.292 4.237010 1.8e-09 4.31e-16 1.1e-16 * 0 * 0 52499.00 37.00 6.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * pksmb * -555 J1211-6324 J1211-6324 12:11:24.1 7.0e-02 -63:24:45.2 5.0e-01 * 0 * 0 * 0 51489.00 298.470 -0.888 0.433084 1.7e-11 2.57e-16 8.0e-18 * 0 * 0 51489.00 333.80 1.1e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.05 * pksmb,htru_pks * - -556 J1214-5830 J1214-5830 12:14:08.4 2.0e-02 -58:30:25.9 1.0e-01 * 0 * 0 * 0 51546.00 298.065 4.012 0.909823 4.0e-11 5.34e-17 1.5e-18 * 0 * 0 51546.00 141.10 7.0e-01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * pksmb,htru_pks * -557 J1215-5328 J1215-5328 12:15:00.6 7.0e-02 -53:28:31.6 7.0e-01 * 0 * 0 * 0 51500.00 297.459 9.009 0.636414 5.0e-11 1.15e-16 4.0e-18 * 0 * 0 51500.00 163.00 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.28 * pkssw,htru_pks * -558 J1216-50 J1216-50 12:16:20 4.4e+01 -50:27:01 4.2e+02 * 0 * 0 * 0 55196.00 297.231 12.032 6.355000 9.0e-03 * 0 * 0 * 0 55196.00 110.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.30 * htru_pks RRAT -559 J1216-6223 J1216-6223 12:16:41.8 1.2e-01 -62:23:57.8 9.0e-01 * 0 * 0 * 0 51111.00 298.920 0.201 0.374047 5.0e-11 1.68e-14 7.0e-18 * 0 * 0 51111.00 790.00 1.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.27 * pksmb * -560 J1216-6410 J1216-6410 12:16:07.3 9.0e-04 -64:10:09.2 8.0e-03 * 0 * 0 * 0 53391.00 299.096 -1.561 0.003539 3.0e-15 1.62e-21 1.9e-22 * 0 * 0 53391.00 47.40 3.0e-02 * 0 * 0 0.05 0 ELL1 * 0 4.0367 6.0e-08 2.9371 7.0e-06 176.73 0.0e+00 7.011e-06 0.0e+00 53055.3611 2.0e-06 4.000e-07 6.0e-06 -7.000e-06 6.0e-07 1.10 * pksmb,htru_pks * - -561 J1220-6318 J1220-6318 12:20:17.8 1.3e-01 -63:18:46.5 1.0e+00 * 0 * 0 * 0 51216.00 299.444 -0.652 0.789212 8.0e-11 8.03e-17 1.2e-17 * 0 * 0 51216.00 347.00 3.0e+00 * 0 * 0 0.68 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.95 * pksmb,htru_pks * -562 J1222-5738 J1222-5738 12:22:52.3 3.0e-01 -57:38:20 1.0e+00 * 0 * 0 * 0 51587.00 299.102 5.020 1.081164 1.3e-09 1.50e-16 5.0e-17 * 0 * 0 51587.00 74.00 6.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.41 * pksmb * -563 J1224-6208 J1224-6208 12:24:44.2 8.0e-02 -62:08:41.1 7.0e-01 * 0 * 0 * 0 51111.00 299.818 0.565 0.585761 4.0e-11 2.02e-14 1.1e-17 * 0 * 0 51111.00 454.20 7.0e-01 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.88 * pksmb,htru_pks * -564 B1221-63 J1224-6407 12:24:22.1 9.0e-03 -64:07:53.9 7.0e-02 * 0 * 0 * 0 46916.00 299.984 -1.415 0.216476 1.4e-12 4.95e-15 9.0e-20 * 0 * 0 46800.00 97.69 4.0e-03 * 0 48.00 0 3.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 XRS:[pb15] misc,mol2,pks1,pks70,pksmb,htru_pks HE[lsg+15] -565 J1225-5556 J1225-5556 12:25:43.8 4.0e-03 -55:56:43.1 4.0e-02 * 0 * 0 * 0 48660.00 299.313 6.746 1.018453 1.5e-11 2.06e-15 1.5e-19 * 0 * 0 48660.00 125.83 7.0e-03 * 0 5.00 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * pks70,htru_pks * - -566 J1225-6035 J1225-6035 12:25:28.6 5.0e-02 -60:35:37.6 3.0e-01 * 0 * 0 * 0 51752.00 299.748 2.117 0.626324 1.8e-11 2.88e-16 8.0e-18 * 0 * 0 51752.00 176.10 1.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * pksmb,htru_pks * -567 B1222-63 J1225-6408 12:25:42.8 2.0e-01 -64:08:43 1.0e+00 * 0 * 0 * 0 43558.59 300.131 -1.414 0.419618 3.0e-10 9.46e-16 1.5e-17 * 0 * 0 43558.59 415.10 5.0e-01 * 0 11.00 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.84 * mol2,pks70,pksmb,htru_pks * -568 J1226-3223 J1226-3223 12:26:46.6 4.0e-02 -32:23:01 1.0e+00 * 0 * 0 * 0 56114.00 296.908 30.200 6.193004 5.0e-10 7.05e-15 1.0e-17 * 0 * 0 56114.00 36.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * pkssw RRAT -569 J1227-4853 J1227-4853 12:27:58.7 1.0e-03 -48:53:42.7 3.0e-03 * 0 * 0 * 0 56707.98 298.965 13.796 0.001686 1.2e-14 1.11e-20 1.2e-21 * 0 * 0 56707.98 43.42 7.0e-04 * 0 * 0 * 0 ELL1 * 0 0.2879 1.0e-09 0.6685 4.0e-06 * 0 * 0 56700.9071 2.0e-07 * 0 * 0 1.80 XRS:XSS_J12270-4859[rbr14],GRS:2FGL_J122 misc HE[pdb+15,jrr+15] -570 J1227-6208 J1227-6208 12:27:00.4 4.0e-04 -62:08:43.7 3.0e-03 * 0 * 0 * 0 55991.20 300.082 0.591 0.034528 2.0e-14 1.87e-19 7.0e-22 * 0 * 0 55991.20 363.00 2.0e-01 * 0 * 0 0.22 0 ELL1H * 0 6.7210 4.0e-09 23.2007 3.0e-06 27.12 0.0e+00 1.149e-03 0.0e+00 55991.1938 2.0e-07 5.238e-04 3.0e-07 1.023e-03 3.0e-07 9.47 * htru_pks * - -571 J1227-63 J1227-63 12:27:12 3.0e+01 -63:09 7.0e+00 * 0 * 0 * 0 56657.00 300.199 -0.407 0.444578 6.0e-08 * 0 * 0 * 0 56657.00 359.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.41 * htru_pks * -572 J1231-1411 J1231-1411 12:31:11.3 7.0e-04 -14:11:43.6 2.0e-02 -62.030 2.6e-01 6.200 5.0e-01 * 0 55100.00 295.531 48.385 0.003684 3.0e-15 2.28e-20 1.4e-22 * 0 * 0 55100.00 8.09 1.0e-03 * 0 * 0 * 0 BT 55016.8000 2.0e-01 1.8601 9.0e-09 2.0426 3.0e-06 320.00 4.0e+01 4.000e-06 3.0e-06 * 0 * 0 * 0 0.42 GRS:2FGL_J1231.2-1411[naa+12] FermiAssoc HE -573 J1231-4609 J1231-4609 12:31:45.7 1.4e-01 -46:09:45.2 3.0e-01 * 0 * 0 * 0 53000.00 299.379 16.573 0.877239 4.0e-11 3.80e-17 1.7e-18 * 0 * 0 53000.00 76.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pkssw * -574 J1231-6303 J1231-6303 12:31:13.0 3.0e-01 -63:03:18 2.0e+00 * 0 * 0 * 0 51397.00 300.644 -0.273 1.351236 6.0e-10 1.40e-15 2.5e-15 * 0 * 0 51397.00 301.00 1.0e+01 * 0 * 0 1.50 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.28 * pksmb,htru_pks * -575 J1232-4742 J1232-4742 12:32:19.1 2.0e-01 -47:42:50.9 1.5e+00 * 0 * 0 * 0 53000.00 299.604 15.034 1.872994 2.0e-10 1.40e-17 5.0e-18 * 0 * 0 53000.00 26.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.87 * pkssw,htru_pks * - -576 J1232-6501 J1232-6501 12:32:17.8 6.0e-03 -65:01:03.3 4.0e-02 * 0 * 0 * 0 51270.00 300.911 -2.221 0.088282 4.0e-13 8.11e-19 3.0e-20 * 0 * 0 51270.00 239.40 5.0e-01 * 0 * 0 0.34 4.0e-02 ELL1 * 0 1.8633 8.0e-08 1.6140 7.0e-05 128.66 0.0e+00 1.089e-04 0.0e+00 51269.9842 2.0e-05 8.500e-05 8.2e-05 -6.800e-05 8.8e-05 5.42 * pksmb,htru_pks * -577 J1233-6312 J1233-6312 12:33:31.5 9.0e-01 -63:12:29 5.0e+00 * 0 * 0 * 0 51396.00 300.915 -0.406 0.564759 4.0e-10 6.92e-15 1.6e-16 * 0 * 0 51396.00 414.00 1.3e+01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.02 * pksmb,htru_pks * -578 J1233-6344 J1233-6344 12:33:39.9 1.0e-01 -63:44:55 1.0e+00 * 0 * 0 * 0 51451.00 300.968 -0.945 0.756892 7.0e-11 3.88e-15 1.8e-17 * 0 * 0 51451.00 495.00 9.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.38 * pksmb,htru_pks * -579 B1232-55 J1235-5516 12:35:19 3.0e+00 -55:16 1.0e+01 * 0 * 0 * 0 43558.61 300.617 7.533 0.638234 1.0e-08 * 0 * 0 * 0 43558.61 100.00 2.0e+01 * 0 4.50 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * mol2,pkssw * -580 J1235-6354 J1235-6354 12:35:57.7 8.0e-02 -63:54:30.4 4.0e-01 * 0 * 0 * 0 51700.00 301.231 -1.088 0.256778 1.2e-11 1.97e-16 4.0e-18 * 0 * 0 51700.00 439.90 1.9e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.30 * pksmb,htru_pks * - -581 J1236-5033 J1236-5033 12:36:59.1 1.0e-02 -50:33:36.3 1.0e-01 * 0 * 0 * 0 51500.00 300.584 12.246 0.294760 4.0e-12 1.56e-16 4.0e-19 * 0 * 0 51500.00 105.02 1.1e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.76 * pkssw,htru_pks * -582 J1237-6725 J1237-6725 12:37:25.9 1.0e-01 -67:25:33.9 6.0e-01 * 0 * 0 * 0 51702.00 301.584 -4.591 2.110974 1.4e-10 2.19e-15 4.0e-17 * 0 * 0 51702.00 176.50 3.0e-01 * 0 * 0 0.48 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * pksmb,htru_pks * -583 J1238+2152 J1238+2152 12:38:23.1 7.8e-02 +21:52:11.1 1.4e+00 * 0 * 0 * 0 51438.00 272.789 83.962 1.118591 4.0e-11 1.45e-15 4.0e-19 -8.700e-27 1.4e-26 * 0 51438.00 17.97 3.1e-03 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.55 * ar4 * -584 B1237+25 J1239+2453 12:39:40.4 1.2e-03 +24:53:49.2 2.0e-02 -104.500 1.1e+00 49.400 1.4e+00 1.160 8.0e-02 46531.00 252.450 86.541 1.382449 1.0e-12 9.60e-16 3.0e-21 -5.080e-28 1.5e-29 * 0 46531.00 9.25 5.3e-04 * 0 110.00 3.3e+01 10.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.84 * gb1,ar4,gb4 * -585 B1236-68 J1239-6832 12:39:59.0 2.0e-01 -68:32:27.7 1.1e+00 * 0 * 0 * 0 43558.63 301.879 -5.693 1.301908 4.0e-10 1.19e-14 1.7e-17 * 0 * 0 43558.63 94.30 3.0e-01 * 0 6.50 0 0.96 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * mol2,pks70,pkssw,pksmb,htru_pks * - -586 B1237-41 J1240-4124 12:40:17.6 4.0e-02 -41:24:51.7 7.0e-01 * 0 * 0 * 0 43564.84 300.688 21.409 0.512242 1.1e-10 1.74e-15 7.0e-18 * 0 * 0 43564.84 44.10 1.2e+00 * 0 3.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * mol2,pkssw,ghrss * -587 J1242+39 J1242+39 12:42:34 4.0e+01 +39:38 1.0e+01 * 0 * 0 * 0 57022.00 130.760 77.360 1.310000 0 * 0 * 0 * 0 57022.00 26.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc * -588 J1243-5735 J1243-5735 12:43:35.3 7.0e-02 -57:35:42.8 5.0e-01 * 0 * 0 * 0 51590.00 301.876 5.260 0.471225 1.6e-10 8.00e-17 7.0e-18 * 0 * 0 51590.00 270.60 1.9e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.15 * pksmb * -589 B1240-64 J1243-6423 12:43:17.1 2.0e-02 -64:23:23.8 1.3e-01 * 0 * 0 * 0 46968.00 302.051 -1.532 0.388481 5.0e-12 4.50e-15 2.0e-19 * 0 * 0 46800.00 297.25 8.0e-02 * 0 110.00 0 13.00 1.3e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -590 J1244-5053 J1244-5053 12:44:11.4 1.0e-02 -50:53:20.6 1.0e-01 * 0 * 0 * 0 51500.00 301.764 11.966 0.275207 4.0e-12 1.00e-15 4.0e-19 * 0 * 0 51500.00 109.95 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * pkssw,htru_pks * - -591 J1244-6359 J1244-6359 12:44:47.6 1.8e-02 -63:59:47.4 3.0e-01 * 0 * 0 * 0 56222.00 302.204 -1.134 0.147274 2.0e-11 4.40e-18 8.0e-19 * 0 * 0 56222.00 286.00 1.0e+00 * 0 * 0 0.15 0 DD 56513.0000 3.0e-01 17.1707 2.0e-06 24.0329 2.0e-04 144.00 7.0e+00 1.790e-04 1.9e-05 * 0 * 0 * 0 8.49 * htru_pks * -592 J1244-6531 J1244-6531 12:44:38.3 2.0e-01 -65:31:12 2.0e+00 * 0 * 0 * 0 54196.50 302.227 -2.658 1.546819 3.0e-10 7.18e-15 1.0e-16 * 0 * 0 54196.50 388.00 2.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.86 * pksmb,htru_pks * -593 J1245-6238 J1245-6238 12:45:21.1 1.4e-01 -62:38:55.9 8.0e-01 * 0 * 0 * 0 51206.00 302.233 0.215 2.283093 3.0e-10 1.09e-14 5.0e-17 * 0 * 0 51206.00 336.20 2.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.95 * pksmb,htru_pks * -594 J1246+2253 J1246+2253 12:46:49.3 5.0e-03 +22:53:43.2 8.0e-02 * 0 * 0 * 0 53400.00 288.809 85.640 0.473871 4.0e-12 8.89e-17 9.0e-21 * 0 * 0 53400.00 17.79 3.0e-03 * 0 29.00 0 0.39 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.47 * ar4 * -595 J1248-6344 J1248-6344 12:48:46.3 5.0e-02 -63:44:09.6 5.0e-01 * 0 * 0 * 0 51451.00 302.637 -0.866 0.198335 8.0e-12 1.69e-14 2.0e-18 * 0 * 0 51451.00 433.00 6.0e-01 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.70 * pksmb * - -596 J1248-6444 J1248-6444 12:48:32.8 2.0e-02 -64:44:00.0 8.0e-01 * 0 * 0 * 0 56715.00 302.623 -1.863 1.234893 3.0e-11 1.93e-15 1.6e-20 * 0 * 0 56715.00 236.40 1.1e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.97 * htru_pks * -597 J1249-6507 J1249-6507 12:49:54.3 9.0e-02 -65:07:19.8 7.0e-01 * 0 * 0 * 0 51724.00 302.771 -2.251 0.434445 3.0e-11 1.21e-17 1.4e-18 * 0 * 0 51724.00 215.00 4.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.12 * pksmb,htru_pks * -598 J1251-7407 J1251-7407 12:51:52.9 1.0e-02 -74:07:15.0 9.0e-02 * 0 * 0 * 0 55332.00 302.963 -11.249 0.327058 2.0e-11 3.65e-16 8.0e-19 * 0 * 0 55332.00 89.81 5.0e-02 * 0 * 0 0.24 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.86 * htru_pks * -599 J1252-6314 J1252-6314 12:52:42.6 1.1e-01 -63:14:32.7 6.0e-01 * 0 * 0 * 0 51155.00 303.075 -0.371 0.823339 6.0e-11 1.08e-16 3.0e-17 * 0 * 0 51155.00 278.40 1.3e+00 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.32 * pksmb,htru_pks * -600 J1253-5820 J1253-5820 12:53:28.3 2.0e-03 -58:20:40.8 2.0e-02 * 0 * 0 * 0 49020.00 303.200 4.526 0.255496 7.0e-13 2.10e-15 2.0e-20 * 0 * 0 49020.00 100.58 4.0e-03 * 0 20.00 0 3.50 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * pks70,pksmb,htru_pks * - -601 J1254-6150 J1254-6150 12:54:32.4 6.0e-02 -61:50:50.8 3.0e-01 * 0 * 0 * 0 51368.00 303.298 1.022 0.184502 7.0e-12 6.24e-16 3.0e-18 * 0 * 0 51368.00 95.00 3.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 * pksmb * -602 J1255-46 J1255-46 12:55 4.0e+00 -46:00 4.0e+01 * 0 * 0 * 0 56657.00 303.578 16.867 0.052000 0 * 0 * 0 * 0 56657.00 42.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * ghrss * -603 J1255-6131 J1255-6131 12:55:54.8 4.0e-02 -61:31:10.1 4.0e-01 * 0 * 0 * 0 51449.00 303.466 1.348 0.657974 3.0e-11 4.00e-15 7.0e-18 * 0 * 0 51449.00 206.50 1.7e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.83 * pksmb * -604 J1255-62 J1255-62 12:55:18 3.0e+01 -62:48 7.0e+00 * 0 * 0 * 0 56657.00 303.373 0.068 0.182912 3.0e-11 * 0 * 0 * 0 56657.00 713.00 4.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.81 * htru_pks * -605 B1254-10 J1257-1027 12:57:04.7 1.5e-02 -10:27:05.8 5.3e-01 * 0 * 0 * 0 49667.00 305.205 52.395 0.617308 8.0e-13 3.63e-16 7.0e-21 5.000e-28 3.3e-28 * 0 49667.00 29.63 9.0e-03 * 0 12.00 1.0e+00 1.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2,pks70 * - -606 B1256-67 J1259-6741 12:59:22.7 1.0e-01 -67:41:40 1.0e+00 * 0 * 0 * 0 43564.90 303.688 -4.834 0.663329 3.0e-10 1.21e-15 1.9e-17 * 0 * 0 43564.90 94.70 9.0e-01 * 0 4.50 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * mol2,pks70,pksmb,htru_pks * -607 B1257+12 J1300+1240 13:00:03.5 1.0e-04 +12:40:56.4 3.0e-04 45.500 5.0e-02 -84.700 7.0e-02 1.410 8.0e-02 49750.00 311.310 75.414 0.006219 3.0e-17 1.14e-19 4.0e-25 * 0 * 0 49750.00 10.17 3.0e-05 -0.001 7.0e-06 20.00 0 2.00 1.0e+00 BT2P 49765.1000 2.0e-01 25.2620 3.0e-03 0.0000 1.0e-07 0.00 0 0.000e+00 0 * 0 * 0 * 0 0.60 XRS:[pkgw07] ar4 * -608 J1301+0833 J1301+0833 13:01:38.2 0 +08:33:57.5 0 * 0 * 0 * 0 55561.00 310.811 71.282 0.001840 0 * 0 * 0 * 0 55561.00 13.20 0 * 0 * 0 * 0 BT * 0 0.2700 0 * 0 * 0 * 0 * 0 * 0 * 0 1.23 GRS:2FGL_J1301.5+0835[naa+12],OPT:[lht14 FermiAssoc * -609 J1301-6305 J1301-6305 13:01:45.7 1.4e-01 -63:05:33.9 1.2e+00 * 0 * 0 * 0 51206.00 304.100 -0.244 0.184528 6.0e-11 2.67e-13 3.0e-18 2.300e-22 4.0e-23 * 0 51206.00 374.00 1.0e+00 * 0 * 0 0.46 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.72 * pksmb,htru_pks * -610 J1301-6310 J1301-6310 13:01:28.3 7.0e-02 -63:10:40.5 5.0e-01 * 0 * 0 * 0 51487.00 304.064 -0.328 0.663830 4.0e-11 5.64e-14 5.0e-18 * 0 * 0 51487.00 86.10 1.2e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 XRS:[pb15] pksmb * - -611 J1302-32 J1302-32 13:02 0 -32:00 0 * 0 * 0 * 0 55196.00 305.539 30.818 0.003770 0 * 0 * 0 * 0 55196.00 26.20 0 * 0 0.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.49 GRS:2FGL_J1302.4-3257[naa+12] FermiAssoc HE -612 J1302-63 J1302-63 13:02:04 8.0e+00 -63:44:53 6.0e+01 * 0 * 0 * 0 50571.00 304.107 -0.901 0.325724 1.0e-08 * 0 * 0 * 0 50571.00 875.00 1.0e+01 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc,pksmb,htru_pks * -613 J1302-6313 J1302-6313 13:02:19.2 7.0e-01 -63:13:29 4.0e+00 * 0 * 0 * 0 51342.00 304.157 -0.379 0.967846 4.0e-10 6.33e-15 8.0e-17 * 0 * 0 51342.00 500.00 2.1e+01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.33 * pksmb * -614 B1259-63 J1302-6350 13:02:47.6 1.1e-03 -63:50:08.6 8.0e-03 -6.600 1.8e+00 -4.400 1.4e+00 * 0 55000.00 304.184 -0.992 0.047763 4.0e-10 2.28e-15 1.2e-18 -2.110e-24 2.0e-26 * 0 50357.00 146.73 1.0e-02 * 0 * 0 1.70 1.8e-01 MSS 53071.2447 7.0e-07 1236.7245 6.0e-06 1296.2745 1.4e-04 138.67 1.1e-05 8.699e-01 6.0e-08 * 0 * 0 * 0 2.30 * pks1,pksmb,htru_pks * -615 J1303-6305 J1303-6305 13:03:00.0 2.3e-01 -63:05:00.8 1.5e+00 * 0 * 0 * 0 51138.00 304.240 -0.241 2.306642 4.0e-10 2.18e-15 1.6e-16 * 0 * 0 51138.00 343.00 3.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.25 * pksmb,htru_pks * - -616 J1305-6203 J1305-6203 13:05:20.9 3.0e-01 -62:03:21.6 1.3e+00 * 0 * 0 * 0 51138.00 304.561 0.772 0.427762 8.0e-11 3.21e-14 3.0e-17 * 0 * 0 51138.00 471.00 1.0e-01 * 0 * 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.60 * pksmb,htru_pks * -617 J1305-6256 J1305-6256 13:05:28.0 4.0e-01 -62:56:39 3.0e+00 * 0 * 0 * 0 51138.00 304.526 -0.116 0.478231 1.2e-10 2.11e-15 4.0e-17 * 0 * 0 51138.00 967.00 3.0e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb,htru_pks * -618 B1302-64 J1305-6455 13:05:23.7 3.0e-01 -64:55:26.3 1.8e+00 * 0 * 0 * 0 43555.70 304.411 -2.092 0.571647 4.0e-10 4.03e-15 1.7e-17 * 0 * 0 43555.70 505.00 3.0e-01 * 0 29.00 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.90 * mol2,pks1,pks70,pksmb,htru_pks * -619 J1305-66 J1305-66 13:05:36 3.0e+01 -66:39 7.0e+00 * 0 * 0 * 0 51559.70 304.338 -3.817 0.197276 2.0e-07 * 0 * 0 * 0 51559.70 316.10 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.63 * pksmb * -620 J1306-40 J1306-40 13:06:56.0 5.0e-01 -40:35:23 7.0e+00 * 0 * 0 * 0 57388.00 306.108 22.186 0.002205 2.0e-08 * 0 * 0 * 0 57388.00 35.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.41 * pks_superb * - -621 J1306-6242 J1306-6242 13:06:44.6 1.0e-01 -62:42:03 1.0e+00 * 0 * 0 * 0 51448.00 304.686 0.119 0.981902 9.0e-11 5.86e-15 3.0e-17 * 0 * 0 51448.00 480.00 6.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.43 * pksmb * -622 B1303-66 J1306-6617 13:06:38.1 4.0e-02 -66:17:21.8 2.0e-01 * 0 * 0 * 0 48394.50 304.462 -3.463 0.473026 7.0e-12 5.97e-15 5.0e-19 * 0 * 0 48394.50 436.90 2.0e-01 * 0 * 0 2.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.87 * pks1,pksmb,htru_pks * -623 J1307-6318 J1307-6318 13:07:54.7 6.0e-01 -63:18:35 4.0e+00 * 0 * 0 * 0 51206.00 304.781 -0.497 4.962427 2.0e-09 2.11e-14 4.0e-16 * 0 * 0 51206.00 374.00 8.0e+00 * 0 * 0 1.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.78 * pksmb,htru_pks * -624 J1307-67 J1307-67 13:07:41 7.2e+01 -67:03:27 4.2e+02 * 0 * 0 * 0 55196.00 304.518 -4.236 3.651200 8.0e-05 * 0 * 0 * 0 55196.00 44.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * pksmb,htru_pks RRAT -625 J1308+2127 J1308+2127 13:08:48.2 1.0e-02 +21:27:06.7 5.0e-02 * 0 * 0 * 0 53415.68 338.733 83.082 10.312522 2.0e-08 1.12e-13 3.0e-16 * 0 * 0 53415.68 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J1308.6+2127,OPT:[kkvh11] misc XINS,NRAD - -626 J1308-4650 J1308-4650 13:08:44.5 1.9e-02 -46:50:29.7 4.0e-01 * 0 * 0 * 0 53000.00 306.008 15.927 1.058833 3.0e-11 5.26e-16 1.6e-18 * 0 * 0 53000.00 66.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * pkssw * -627 J1308-5844 J1308-5844 13:08:21.0 3.0e-02 -58:44:13.8 4.0e-01 * 0 * 0 * 0 51560.00 305.130 4.062 0.464700 7.0e-10 8.64e-15 5.0e-18 * 0 * 0 51560.00 205.60 1.1e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.46 * pksmb,htru_pks * -628 J1309-6415 J1309-6415 13:09:16.6 7.0e-01 -64:15:59 5.0e+00 * 0 * 0 * 0 51303.00 304.867 -1.462 0.619454 3.0e-10 8.79e-15 1.2e-16 * 0 * 0 51303.00 574.00 5.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.98 * pksmb,htru_pks * -629 J1309-6526 J1309-6526 13:09:00.2 8.0e-02 -65:26:16.6 5.0e-01 * 0 * 0 * 0 51767.00 304.758 -2.628 0.398292 2.0e-11 1.84e-17 1.5e-18 * 0 * 0 51767.00 340.00 4.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.26 * pksmb * -630 B1309-12 J1311-1228 13:11:52.6 1.1e-02 -12:28:01.6 4.0e-01 * 0 * 0 * 0 49667.00 310.723 50.095 0.447518 7.0e-13 1.51e-16 4.0e-21 -1.800e-27 4.0e-28 * 0 49667.00 36.21 8.0e-03 * 0 4.00 3.0e-01 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2,pks70 * - -631 J1311-3430 J1311-3430 13:11:45.7 2.0e-04 -34:30:30.3 4.0e-03 * 0 * 0 * 0 55266.91 307.681 28.176 0.002560 3.0e-16 2.10e-20 1.4e-23 * 0 * 0 55266.91 37.84 2.6e-01 * 0 * 0 * 0 ELL1 * 0 0.0651 7.0e-10 0.0106 4.0e-06 * 0 * 0 56009.1295 7.0e-06 * 0 * 0 2.43 GRS:2FGL_J1311.7-3429,OPT:[rom12] FermiBlind HE -632 J1312+0051 J1312+0051 13:12 0 +00:51 0 * 0 * 0 * 0 55561.00 314.418 63.262 0.004230 0 * 0 * 0 * 0 55561.00 15.30 0 * 0 * 0 * 0 BT * 0 38.5000 0 * 0 * 0 * 0 * 0 * 0 * 0 1.47 GRS:2FGL_J1312.7+0051[naa+12] FermiAssoc * -633 B1310+18 J1312+1810 13:12:55 2.0e+01 +18:10 5.0e+00 * 0 * 0 * 0 47060.70 332.954 79.763 0.033163 3.0e-09 * 0 * 0 * 0 47060.70 24.00 1.5e+00 * 0 1.00 0 * 0 BT 47060.7000 9.0e-01 255.8000 6.0e-01 84.2000 7.0e-01 * 0 * 0 * 0 * 0 * 0 20.60 GC:M53 misc * -634 B1309-53 J1312-5402 13:12:04.6 1.0e-01 -54:02:42 1.0e+00 * 0 * 0 * 0 43557.74 305.994 8.704 0.728154 3.0e-10 1.48e-16 1.3e-17 * 0 * 0 43557.74 133.00 2.0e+00 * 0 15.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.90 * mol2,pks70,pkssw,ghrss * -635 B1309-55 J1312-5516 13:12:53.8 1.5e-01 -55:16:47.1 1.5e+00 * 0 * 0 * 0 43556.84 306.011 7.464 0.849236 4.0e-10 5.71e-15 1.6e-17 * 0 * 0 43556.84 134.10 1.6e+00 * 0 16.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * mol2,pks70,pkssw,htru_pks * - -636 J1312-6400 J1312-6400 13:12:07.1 1.0e-01 -64:00:55.6 9.0e-01 * 0 * 0 * 0 51303.00 305.195 -1.235 2.437432 1.1e-10 6.83e-16 5.0e-17 * 0 * 0 51303.00 93.00 1.2e+00 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 * pksmb,htru_pks * -637 J1313+0931 J1313+0931 13:13:23.0 1.0e-01 +09:31:56 1.0e+00 * 0 * 0 * 0 50984.50 320.366 71.657 0.848933 2.0e-11 8.00e-16 1.0e-16 * 0 * 0 50984.50 12.04 4.3e-05 * 0 3.50 1.0e-01 0.16 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * misc * -638 J1314-6101 J1314-6101 13:14:23.4 9.0e-01 -61:01:16 6.0e+00 * 0 * 0 * 0 51396.00 305.710 1.727 2.948390 1.5e-09 1.17e-14 9.0e-16 * 0 * 0 51396.00 309.00 1.3e+01 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.55 * pksmb,htru_pks * -639 J1316-6232 J1316-6232 13:16:46.3 2.0e-01 -62:32:12.2 5.0e-01 * 0 * 0 * 0 49800.00 305.848 0.191 0.342825 6.0e-11 5.30e-15 2.0e-18 * 0 * 0 49800.00 983.30 5.0e-01 * 0 * 0 0.74 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc,pksmb,htru_pks * -640 J1317-5759 J1317-5759 13:17:46.2 3.0e-02 -57:59:30.5 3.0e-01 * 0 * 0 * 0 53911.00 306.428 4.701 2.642199 5.0e-11 1.26e-14 3.0e-18 * 0 * 0 53911.00 145.30 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pksmb RRAT - -641 J1317-6302 J1317-6302 13:17:44.6 7.0e-02 -63:02:52.2 6.0e-01 * 0 * 0 * 0 51138.00 305.908 -0.328 0.261271 3.0e-11 1.02e-16 6.0e-18 * 0 * 0 51138.00 678.10 1.2e+00 * 0 * 0 0.99 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.77 * pksmb,htru_pks * -642 B1316-60 J1319-6056 13:19:20.2 2.0e-02 -60:56:46.6 1.1e-01 * 0 * 0 * 0 47910.80 306.314 1.742 0.284351 6.0e-12 1.53e-15 2.0e-19 * 0 * 0 47910.80 400.94 4.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.85 * pks1,pksmb,htru_pks * -643 J1319-6105 J1319-6105 13:19:26.3 2.0e-02 -61:05:26.2 1.0e-01 * 0 * 0 * 0 51709.00 306.311 1.597 0.421118 6.0e-12 1.50e-15 1.1e-18 * 0 * 0 51709.00 442.20 5.0e-01 * 0 * 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.20 * pksmb,htru_pks * -644 J1320-3512 J1320-3512 13:20:12.6 4.0e-02 -35:12:26.0 8.0e-01 * 0 * 0 * 0 48734.00 309.543 27.295 0.458488 7.0e-11 1.90e-18 8.0e-19 * 0 * 0 48734.00 16.42 1.0e-01 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.87 * pks70,pkssw * -645 B1317-53 J1320-5359 13:20:53.9 1.4e-02 -53:59:06.3 1.8e-01 * 0 * 0 * 0 46916.00 307.304 8.636 0.279729 4.0e-12 9.25e-15 2.0e-19 * 0 * 0 46800.00 97.10 1.0e-01 * 0 18.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * mol2,pks70,pkssw,htru_pks,ghrss * - -646 J1320+67 J1320+67 13:20 3.0e+00 +67:30 1.8e+01 * 0 * 0 * 0 56292.00 118.741 49.395 1.028620 3.5e-05 * 0 * 0 * 0 56292.00 28.00 2.0e+00 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gbncc * -647 J1321-5922 J1321-5922 13:21:39.5 5.0e-02 -59:22:52.1 7.0e-01 * 0 * 0 * 0 54212.00 306.778 3.265 1.279058 7.0e-11 2.37e-15 3.0e-17 * 0 * 0 54212.00 383.00 2.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb * -648 B1322+83 J1321+8323 13:21:46.1 7.0e-02 +83:23:38.9 1.0e-01 -53.000 2.0e+01 13.000 7.0e+00 * 0 48889.00 121.887 33.672 0.670037 3.0e-12 5.66e-16 3.0e-20 -5.400e-27 7.0e-28 * 0 48889.00 13.32 7.6e-04 * 0 11.00 2.0e+00 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * gb1,gb2,gbncc * -649 J1322-62 J1322-62 13:22:54 3.0e+01 -62:51 7.0e+00 * 0 * 0 * 0 50591.60 306.512 -0.197 1.044851 4.0e-06 * 0 * 0 * 0 50591.60 733.60 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.74 * pksmb * -650 J1322-6241 J1322-6241 13:22:32.1 1.2e-01 -62:41:53.5 8.0e-01 * 0 * 0 * 0 51138.00 306.489 -0.041 0.506058 5.0e-11 2.59e-15 1.8e-17 * 0 * 0 51138.00 618.80 1.9e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.24 * pksmb,htru_pks * - -651 J1322-6329 J1322-6329 13:22:18.0 2.0e-01 -63:29:37 2.0e+00 * 0 * 0 * 0 51456.00 306.367 -0.828 2.764209 5.0e-10 1.11e-14 1.0e-16 * 0 * 0 51456.00 659.00 9.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.38 * pksmb * -652 J1324-6146 J1324-6146 13:24:43.9 5.0e-01 -61:46:00 3.0e+00 * 0 * 0 * 0 51397.00 306.859 0.851 0.844109 3.0e-10 5.58e-15 1.4e-16 * 0 * 0 51397.00 828.00 9.0e+00 * 0 * 0 0.73 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb,htru_pks * -653 J1324-6302 J1324-6302 13:24:13.6 7.0e-02 -63:02:21.1 6.0e-01 * 0 * 0 * 0 51523.00 306.638 -0.404 2.483804 1.0e-10 9.79e-16 9.0e-18 * 0 * 0 51523.00 497.00 5.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.69 * pksmb,htru_pks * -654 B1323-58 J1326-5859 13:26:58.2 4.0e-02 -58:59:29.1 4.0e-01 * 0 * 0 * 0 47781.79 307.504 3.565 0.477991 3.0e-11 3.24e-15 1.0e-18 * 0 * 0 47781.79 287.30 1.5e-01 * 0 120.00 0 9.90 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * mol2,pks1,pks70,pksmb,htru_pks * -655 B1323-63 J1326-6408 13:26:32.6 3.0e-01 -64:08:44 1.0e+00 * 0 * 0 * 0 43558.73 306.748 -1.534 0.792670 5.0e-10 3.10e-15 1.8e-17 * 0 * 0 43558.73 502.70 4.0e-01 * 0 18.00 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.99 * mol2,pks70,pksmb,htru_pks * - -656 B1322-66 J1326-6700 13:26:03.2 4.0e-01 -67:00:51 3.0e+00 * 0 * 0 * 0 43555.71 306.310 -4.370 0.543009 5.0e-10 5.31e-15 2.0e-17 * 0 * 0 43555.71 209.60 3.0e-01 * 0 28.00 0 11.00 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.74 * mol2,pksmb,htru_pks * -657 J1327-0755 J1327-0755 13:27:57.5 1.2e-03 -07:55:29.8 4.0e-02 27.000 1.8e+01 95.000 4.8e+01 * 0 55131.00 318.383 53.848 0.002678 2.0e-16 1.77e-21 1.8e-23 * 0 * 0 55131.00 27.91 6.0e-05 * 0 * 0 * 0 ELL1 * 0 8.4391 1.2e-08 6.6458 2.0e-06 45.00 0.0e+00 8.485e-07 0.0e+00 54717.3831 7.0e-07 6.000e-07 5.0e-07 6.000e-07 7.0e-07 25.00 * gb350 * -658 B1323-62 J1327-6222 13:27:17.4 1.0e-01 -62:22:44.6 6.0e-01 * 0 * 0 * 0 47781.81 307.074 0.204 0.529913 1.0e-11 1.89e-14 7.0e-19 * 0 * 0 47781.81 318.80 6.0e-02 * 0 135.00 0 16.00 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * misc,mol2,pks1,pks70,pksmb,htru_pks * -659 B1323-627 J1327-6301 13:27:07.4 2.0e-02 -63:01:15.3 1.0e-02 * 0 * 0 * 0 47910.80 306.966 -0.429 0.196479 3.0e-12 1.53e-15 7.0e-20 * 0 * 0 47910.80 294.91 3.0e-02 * 0 * 0 3.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.22 * pks1,pksmb,htru_pks * -660 J1327-6400 J1327-6400 13:27:10.2 1.1e-01 -64:00:13.1 6.0e-01 * 0 * 0 * 0 51206.00 306.836 -1.403 0.280678 1.3e-11 3.12e-14 4.0e-18 * 0 * 0 51206.00 679.00 1.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.98 * pksmb,htru_pks * - -661 B1325-43 J1328-4357 13:28:06.4 1.0e-02 -43:57:44.1 1.0e-01 3.000 7.0e+00 54.000 2.3e+01 * 0 51360.00 309.874 18.415 0.532699 1.3e-10 3.01e-15 6.0e-18 * 0 * 0 43613.53 42.00 1.0e+00 * 0 18.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * mol2,pks70,pkssw * -662 B1325-49 J1328-4921 13:28:33.5 4.0e-02 -49:21:33.4 7.0e-01 * 0 * 0 * 0 43557.83 309.122 13.066 1.478721 4.0e-10 6.10e-16 2.0e-17 * 0 * 0 43557.83 118.00 2.0e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.40 * mol2,pks70,pkssw,htru_pks * -663 J1329-6158 J1329-6158 13:29:03.3 6.0e-01 -61:58:59 6.0e+00 * 0 * 0 * 0 51490.00 307.334 0.567 1.565218 8.0e-10 3.39e-14 3.0e-16 * 0 * 0 51490.00 514.00 1.1e+01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.87 * pksmb,htru_pks * -664 J1331-5245 J1331-5245 13:31:00.0 4.0e-02 -52:45:25.4 5.0e-01 * 0 * 0 * 0 55195.00 308.985 9.649 0.648117 2.0e-10 5.10e-16 9.0e-18 * 0 * 0 55195.00 148.40 3.0e-01 * 0 * 0 0.32 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.93 * htru_pks * -665 J1332-03 J1332-03 13:32 2.0e+00 -03:26 3.6e+01 * 0 * 0 * 0 56657.00 322.250 57.909 1.106400 5.0e-05 * 0 * 0 * 0 56657.00 27.10 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb350 RRAT - -666 J1332-3032 J1332-3032 13:32:52.4 6.6e-02 -30:32:17.3 1.7e+00 * 0 * 0 * 0 50625.78 313.396 31.490 0.650434 1.7e-11 5.60e-16 4.0e-19 2.500e-26 2.4e-26 * 0 50625.78 15.10 1.9e-01 * 0 9.00 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 * pks70 * -667 J1333-4449 J1333-4449 13:33:44.8 5.0e-03 -44:49:26.2 1.0e-01 * 0 * 0 * 0 53000.00 310.774 17.403 0.345603 3.0e-12 5.40e-19 1.9e-19 * 0 * 0 53000.00 44.30 1.7e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.43 * pkssw * -668 J1334-5839 J1334-5839 13:34:30.1 9.0e-04 -58:39:16.5 8.0e-03 * 0 * 0 * 0 48959.00 308.520 3.749 0.107718 2.0e-13 2.16e-17 4.0e-21 * 0 * 0 48959.00 119.30 9.0e-04 * 0 18.00 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * pks70,pksmb,htru_pks * -669 J1335-3642 J1335-3642 13:35:36 2.0e+01 -36:42 4.0e+00 * 0 * 0 * 0 50400.00 312.713 25.332 0.399192 3.0e-06 * 0 * 0 * 0 50400.00 41.70 3.0e-01 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * pks70,pkssw * -670 J1337-44 J1337-44 13:37:06 3.0e+01 -44:43 7.0e+00 * 0 * 0 * 0 57388.00 311.408 17.402 1.257520 9.0e-05 * 0 * 0 * 0 57388.00 96.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks_superb * - -671 J1337-6306 J1337-6306 13:37:20.3 5.0e-02 -63:06:23.3 3.0e-01 * 0 * 0 * 0 51900.00 308.095 -0.696 0.207953 4.0e-12 3.56e-16 3.0e-19 * 0 * 0 51900.00 777.70 1.7e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.93 * pksmb * -672 J1337-6423 J1337-6423 13:37:31.8 2.0e-03 -64:23:04.9 9.0e-03 -6.000 6.0e+00 -7.000 5.0e+00 * 0 55234.70 307.889 -1.958 0.009423 1.7e-14 2.47e-20 1.8e-22 * 0 * 0 55234.70 259.20 1.3e+00 * 0 * 0 0.29 0 ELL1 * 0 4.7853 5.0e-09 13.0865 5.0e-06 67.18 0.0e+00 1.985e-05 0.0e+00 55234.7704 6.0e-07 1.830e-05 8.0e-07 7.700e-06 9.0e-07 5.94 * htru_pks * -673 B1334-61 J1338-6204 13:38:09.3 5.0e-02 -62:04:18.7 4.0e-01 * 0 * 0 * 0 48375.50 308.373 0.305 1.238990 4.0e-11 1.39e-14 2.0e-18 * 0 * 0 48375.50 640.30 7.0e-01 * 0 * 0 3.80 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.37 * pks1,pksmb,htru_pks * -674 J1339-4712 J1339-4712 13:39:56.5 1.8e-03 -47:12:05.5 3.0e-02 * 0 * 0 * 0 53000.00 311.424 14.869 0.137055 4.0e-13 5.30e-19 2.0e-20 * 0 * 0 53000.00 39.90 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.21 * pkssw,htru_pks * -675 J1339-6618 J1339-6618 13:39:56.6 2.0e-01 -66:18:07.8 7.0e-01 * 0 * 0 * 0 51760.00 307.786 -3.889 0.558179 5.0e-11 3.50e-16 3.0e-17 * 0 * 0 51760.00 241.00 3.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.33 * pksmb,htru_pks * - -676 B1336-64 J1340-6456 13:40:00.3 5.0e-02 -64:56:42.9 3.0e-01 * 0 * 0 * 0 43564.94 308.047 -2.557 0.378622 4.0e-11 5.05e-15 1.6e-18 * 0 * 0 43564.94 76.99 1.3e-01 * 0 9.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 * mol2,pks70,pksmb,htru_pks * -677 J1341-6023 J1341-6023 13:41:07.3 3.0e-02 -60:23:34.7 5.0e-01 * 0 * 0 * 0 51280.00 309.035 1.889 0.627285 1.6e-11 1.95e-14 8.0e-18 * 0 * 0 51280.00 364.60 9.0e-01 * 0 * 0 0.63 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.28 * pksmb,htru_pks * -678 B1338-62 J1341-6220 13:41:42.6 8.0e-02 -62:20:20.7 5.0e-01 * 0 * 0 * 0 49381.00 308.730 -0.035 0.193340 1.9e-11 2.53e-13 3.0e-18 -1.000e-23 1.9e-25 * 0 50859.00 719.65 5.0e-02 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.60 SNR:G308.8-0.1[cks+92],XRS:[pb15] misc,pks1,pksmb,htru_pks * -679 J1342+2822A J1342+2822A 13:42:11 0 +28:22:32 0 * 0 * 0 * 0 52770.00 42.209 78.709 0.002545 1.0e-06 * 0 * 0 * 0 52770.00 26.50 1.0e-01 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.90 GC:M3 misc * -680 J1342+2822B J1342+2822B 13:42:11.0 1.0e-04 +28:22:40.1 2.0e-03 * 0 * 0 * 0 52770.00 42.220 78.709 0.002389 1.0e-15 1.86e-20 4.0e-23 * 0 * 0 52770.00 26.15 2.0e-03 * 0 * 0 0.01 0 ELL1 * 0 1.4174 2.0e-09 1.8757 2.0e-06 * 0 * 0 52485.9680 6.0e-07 * 0 * 0 9.90 GC:M3 misc * - -681 J1342+2822C J1342+2822C 13:42:11 0 +28:22:32 0 * 0 * 0 * 0 52770.00 42.209 78.709 0.002166 1.0e-06 * 0 * 0 * 0 52770.00 26.50 1.0e-01 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.90 GC:M3 misc * -682 J1342+2822D J1342+2822D 13:42:10.2 7.0e-01 +28:22:36 1.6e+01 * 0 * 0 * 0 52770.00 42.215 78.712 0.005443 6.0e-11 * 0 * 0 * 0 52770.00 26.36 1.9e-02 * 0 * 0 0.01 0 DD 52655.3800 5.0e-02 128.7520 6.0e-03 38.5240 5.0e-03 -154.00 2.0e-01 7.530e-02 6.0e-04 * 0 * 0 * 0 9.90 GC:M3 misc * -683 J1344-6059 J1344-6059 13:44:39.6 3.0e-01 -60:59:31 3.0e+00 * 0 * 0 * 0 51676.00 309.341 1.216 0.540102 6.0e-11 4.30e-17 4.0e-18 * 0 * 0 51676.00 435.00 7.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.42 * pksmb * -684 J1345-6115 J1345-6115 13:45:44.4 1.9e-01 -61:15:30.6 1.6e+00 * 0 * 0 * 0 51138.00 309.414 0.928 1.253085 1.8e-10 3.25e-15 8.0e-17 * 0 * 0 51138.00 278.10 2.0e+00 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 * pksmb,htru_pks * -685 J1346-4918 J1346-4918 13:46:22.3 2.0e-02 -49:18:07.2 1.0e-01 * 0 * 0 * 0 55000.00 312.059 12.594 0.299625 2.0e-10 3.50e-17 3.0e-18 * 0 * 0 55000.00 74.42 7.0e-02 * 0 * 0 0.70 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * htru_pks * - -686 J1347-5947 J1347-5947 13:47:19.3 4.0e-02 -59:47:39.8 5.0e-01 * 0 * 0 * 0 51294.00 309.914 2.318 0.609962 1.5e-11 1.42e-14 7.0e-18 * 0 * 0 51294.00 293.40 5.0e-01 * 0 * 0 0.67 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.29 * pksmb,htru_pks * -687 J1348-6307 J1348-6307 13:48:42.4 4.0e-01 -63:07:04 4.0e+00 * 0 * 0 * 0 51304.00 309.353 -0.962 0.927772 3.0e-10 3.79e-15 7.0e-17 * 0 * 0 51304.00 597.00 3.0e+00 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.64 * pksmb,htru_pks * -688 J1349-6130 J1349-6130 13:49:36.6 4.0e-02 -61:30:17.1 4.0e-01 * 0 * 0 * 0 51138.00 309.813 0.587 0.259363 9.0e-12 5.13e-15 4.0e-18 * 0 * 0 51138.00 284.50 1.0e-01 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * pksmb,htru_pks * -689 J1349-63 J1349-63 13:49:18 3.0e+01 -63:56 7.0e+00 * 0 * 0 * 0 56657.00 309.237 -1.772 0.373034 1.0e-07 * 0 * 0 * 0 56657.00 478.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.29 * htru_pks * -690 J1350-5115 J1350-5115 13:50:16.1 6.0e-03 -51:15:24.7 4.0e-02 * 0 * 0 * 0 49485.39 312.233 10.549 0.295699 3.0e-11 7.53e-16 6.0e-19 * 0 * 0 49485.39 90.39 8.0e-03 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * pks70,pkssw,htru_pks * - -691 J1350-6225 J1350-6225 13:50:44.4 1.0e-02 -62:25:43.8 1.0e-01 * 0 * 0 * 0 55806.00 309.734 -0.343 0.138158 1.2e-12 8.88e-15 4.0e-20 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1350.4-6224[aaa+15] FermiBlind NRAD -692 J1352-6803 J1352-6803 13:52:34.4 4.0e-02 -68:03:37.1 4.0e-01 * 0 * 0 * 0 51650.00 308.614 -5.866 0.628903 1.6e-11 1.23e-15 3.0e-18 * 0 * 0 51650.00 214.60 2.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.91 * pkssw,pksmb,htru_pks * -693 J1354-6249 J1354-6249 13:54:35 1.0e+00 -62:49:30 7.0e+00 * 0 * 0 * 0 51396.00 310.070 -0.832 2.951938 3.0e-09 1.48e-14 1.1e-15 * 0 * 0 51396.00 254.00 1.7e+01 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.16 * pksmb,htru_pks * -694 B1352-51 J1355-5153 13:55:58.6 3.0e-02 -51:53:53.8 5.0e-01 * 0 * 0 * 0 43556.85 312.951 9.714 0.644301 8.0e-11 2.81e-15 4.0e-18 * 0 * 0 43556.85 112.10 4.0e-01 * 0 12.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * mol2,pks70,pkssw,htru_pks,ghrss * -695 J1355-5747 J1355-5747 13:55:36.9 1.5e-01 -57:47:15 3.0e+00 * 0 * 0 * 0 53513.00 311.425 4.022 2.038674 4.0e-10 7.15e-16 9.0e-17 * 0 * 0 53513.00 229.00 3.0e+00 * 0 * 0 0.36 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.44 * pksmb,htru_pks * - -696 J1355-5925 J1355-5925 13:55:59.1 5.0e-02 -59:25:00.9 3.0e-01 * 0 * 0 * 0 51730.00 311.069 2.431 1.213381 5.0e-11 5.99e-15 1.1e-17 * 0 * 0 51730.00 354.80 9.0e-01 * 0 * 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * pksmb,htru_pks * -697 J1355-6206 J1355-6206 13:55:21.3 6.0e-02 -62:06:20.1 5.0e-01 * 0 * 0 * 0 51724.00 310.332 -0.156 0.276603 1.0e-11 3.10e-18 6.0e-19 * 0 * 0 51724.00 547.00 3.0e+00 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.54 * pksmb,htru_pks * -698 J1356-5521 J1356-5521 13:56:50.5 5.0e-03 -55:21:12.9 5.0e-02 * 0 * 0 * 0 49016.00 312.199 6.337 0.507380 6.0e-12 7.24e-16 1.0e-19 * 0 * 0 49016.00 174.17 6.0e-03 * 0 12.00 0 1.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.32 * pks70,htru_pks * -699 B1353-62 J1357-62 13:57:25 4.0e+01 -62:28 5.0e+00 * 0 * 0 * 0 47900.00 310.474 -0.565 0.455761 1.0e-06 * 0 * 0 * 0 47900.00 416.80 4.0e-01 * 0 * 0 8.70 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.48 * misc,pks1,pksmb,htru_pks * -700 J1357-6429 J1357-6429 13:57:02.4 2.0e-02 -64:29:30.2 1.0e-01 * 0 * 0 * 0 52921.00 309.923 -2.514 0.166108 1.4e-11 3.60e-13 1.4e-18 1.158e-21 1.6e-23 * 0 52921.00 128.50 7.0e-01 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 XRS:PWN[zav07] pksmb,htru_pks HE[lzg+11] - -701 J1358-2533 J1358-2533 13:58:42 1.5e+01 -25:33 3.0e+00 * 0 * 0 * 0 48742.00 321.485 34.887 0.912971 1.0e-06 * 0 * 0 * 0 48742.00 31.27 1.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.55 * pks70 * -702 B1356-60 J1359-6038 13:59:58.2 8.0e-02 -60:38:08.0 8.0e-01 * 0 * 0 * 0 43555.72 311.239 1.126 0.127501 3.0e-11 6.34e-15 1.3e-18 * 0 * 0 43555.72 293.74 3.0e-03 * 0 105.00 0 7.60 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * mol2,pks1,pks70,pksmb,htru_pks * -703 J1400-1431 J1400-1431 14:00:37.0 1.5e-04 -14:31:47.0 6.1e-03 * 0 * 0 3.600 1.1e+00 56960.00 326.986 45.087 0.003084 8.0e-17 7.23e-21 1.5e-24 * 0 * 0 56960.00 4.93 3.0e-06 0.000 3.0e-05 * 0 0.15 7.0e-02 ELL1 56958.3840 9.0e-08 9.5475 1.9e-09 8.4213 6.0e-07 30.26 0.0e+00 5.557e-07 0.0e+00 * 0 2.800e-07 1.2e-07 4.800e-07 1.4e-07 0.28 OPT:[skm+17],XRS:[skm+17],GRS:3FGL_J1400 gb350 * -704 J1400-6325 J1400-6325 14:00:45.6 1.0e-01 -63:25:42.6 7.0e-01 * 0 * 0 * 0 55105.00 310.592 -1.593 0.031182 3.0e-10 3.89e-14 6.0e-17 * 0 * 0 55105.00 563.00 4.0e+00 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 GRS:IGR_J14003-6326,SNR:G310.6-1.6 misc HE -705 B1358-63 J1401-6357 14:01:52.4 2.0e-02 -63:57:45.5 1.9e-01 * 0 * 0 * 0 46916.00 310.568 -2.140 0.842790 1.4e-11 1.67e-14 8.0e-19 * 0 * 0 46800.00 98.00 5.0e-01 * 0 34.00 0 6.20 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * mol2,pks1,pks70,pksmb,htru_pks * - -706 B1359-51 J1402-5124 14:02:57 2.0e+00 -51:24 1.5e+01 * 0 * 0 * 0 43420.00 314.143 9.908 1.380177 5.0e-06 * 0 * 0 * 0 43420.00 39.00 5.0e+00 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * mol1,mol2,pkssw * -707 J1403-6310 J1403-6310 14:03:14.0 2.0e-01 -63:10:27 1.0e+00 * 0 * 0 * 0 51341.00 310.928 -1.423 0.399170 5.0e-11 9.00e-17 2.0e-17 * 0 * 0 51341.00 305.00 3.0e+00 * 0 * 0 0.65 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.67 * pksmb,htru_pks * -708 J1403-7646 J1403-7646 14:03:04.1 2.0e-01 -76:46:57.5 6.0e-01 * 0 * 0 * 0 49526.44 307.096 -14.494 1.306198 8.0e-10 1.20e-15 1.6e-17 * 0 * 0 49526.44 100.60 1.0e-01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * pks70,pkssw * -709 J1404+1159 J1404+1159 14:04:36.9 3.0e-03 +11:59:15.3 1.0e-01 * 0 * 0 * 0 53400.00 355.078 67.115 2.650439 3.0e-11 1.37e-15 1.2e-19 * 0 * 0 53400.00 18.47 9.0e-03 * 0 3.00 0 0.03 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.18 * ar4 * -710 J1405-42 J1405-42 14:05:48 3.0e+01 -42:33 7.0e+00 * 0 * 0 * 0 57388.00 317.249 18.245 2.346800 4.0e-05 * 0 * 0 * 0 57388.00 64.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.66 * pks_superb * - -711 J1405-4656 J1405-4656 14:05:21.4 8.0e-04 -46:56:02.3 1.0e-02 -44.000 6.0e+00 20.000 1.0e+01 * 0 55692.70 315.826 14.079 0.007602 1.0e-14 2.79e-20 4.0e-22 * 0 * 0 55692.70 13.88 3.0e-03 * 0 * 0 0.92 0 ELL1 * 0 8.9564 7.0e-08 6.5677 9.0e-06 51.34 0.0e+00 6.403e-06 0.0e+00 55132.2310 2.0e-05 5.000e-06 2.0e-06 4.000e-06 3.0e-06 0.67 * htru_pks * -712 J1405-5641 J1405-5641 14:05:12.4 4.0e-02 -56:41:24.2 7.0e-01 * 0 * 0 * 0 52898.00 312.971 4.737 0.617575 4.0e-11 1.20e-15 1.2e-17 * 0 * 0 52898.00 273.00 3.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.40 * pksmb,htru_pks * -713 J1406-5806 J1406-5806 14:06:01.2 2.0e-01 -58:06:32 1.0e+00 * 0 * 0 * 0 51730.00 312.673 3.345 0.288349 5.0e-11 6.11e-16 1.0e-17 * 0 * 0 51730.00 229.00 3.0e+00 * 0 * 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 * pksmb,htru_pks * -714 J1406-6121 J1406-6121 14:06:50.0 6.0e-02 -61:21:27.9 6.0e-01 * 0 * 0 * 0 51111.00 311.841 0.203 0.213075 1.4e-11 5.47e-14 3.0e-18 * 0 * 0 51111.00 537.80 4.0e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.30 * pksmb,htru_pks * -715 J1407-6048 J1407-6048 14:07:58.6 1.3e-01 -60:48:58.8 1.2e+00 * 0 * 0 * 0 51161.00 312.130 0.681 0.492344 5.0e-11 3.16e-15 8.0e-18 * 0 * 0 51161.00 575.20 1.7e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.86 * pksmb,htru_pks * - -716 J1407-6153 J1407-6153 14:07:56.5 5.0e-01 -61:53:59 6.0e+00 * 0 * 0 * 0 51093.00 311.810 -0.354 0.701615 3.0e-10 8.85e-15 7.0e-17 * 0 * 0 51093.00 645.00 9.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.20 * pksmb,htru_pks * -717 J1409-6953 J1409-6953 14:09:16.9 1.0e-01 -69:53:34.4 5.0e-01 * 0 * 0 * 0 55191.00 309.574 -8.031 0.528591 3.0e-10 8.40e-16 1.0e-17 * 0 * 0 55191.00 167.63 3.0e-01 * 0 * 0 0.26 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.75 * htru_pks * -718 J1410-6132 J1410-6132 14:10:24 4.0e+00 -61:32 1.0e+00 * 0 * 0 * 0 54357.30 312.196 -0.090 0.050052 0 3.20e-14 0 * 0 * 0 54357.30 961.00 3.0e-01 * 0 * 0 6.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.51 * misc,htru_pks * -719 J1410-7404 J1410-7404 14:10:07.3 5.0e-03 -74:04:53.3 2.0e-02 * 0 * 0 * 0 51460.00 308.349 -12.043 0.278729 1.5e-12 6.74e-18 9.0e-20 * 0 * 0 51460.00 54.24 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.34 * pkssw,htru_pks * -720 J1411+2551 J1411+2551 14:11:18.8 3.0e-03 +25:51:08.3 7.0e-02 -3.000 1.2e+01 -4.000 9.0e+00 * 0 57617.00 33.380 72.101 0.062453 2.0e-15 9.56e-20 5.1e-21 * 0 * 0 57617.00 12.37 3.0e-04 * 0 * 0 * 0 DD 57617.0451 1.0e-05 2.6159 8.0e-11 9.2051 2.0e-06 81.54 2.0e-04 1.699e-01 4.0e-07 * 0 * 0 * 0 1.13 * ar327 * - -721 J1412-6111 J1412-6111 14:12:59.6 1.3e-01 -61:11:30.5 7.0e-01 * 0 * 0 * 0 51031.00 312.597 0.140 0.529156 4.0e-11 1.91e-15 3.0e-17 * 0 * 0 51031.00 311.80 9.0e-01 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * pksmb,htru_pks * -722 J1412-6145 J1412-6145 14:12:07.6 5.0e-02 -61:45:28.8 6.0e-01 * 0 * 0 * 0 51186.00 312.324 -0.366 0.315225 1.2e-11 9.87e-14 1.3e-18 * 0 * 0 51186.00 514.40 4.0e-01 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.12 * pksmb,htru_pks * -723 J1412+7922 J1412+7922 14:12:55.8 2.0e-01 +79:22:03.7 6.0e-01 * 0 * 0 * 0 55094.00 118.318 37.020 0.059198 7.0e-12 4.00e-19 2.0e-19 * 0 * 0 55094.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:1RXS_J141256.0+792204(Calvera),GRS: misc NRAD -724 J1413-6141 J1413-6141 14:13:09.8 9.0e-02 -61:41:13 1.0e+00 * 0 * 0 * 0 51500.00 312.462 -0.337 0.285625 1.6e-10 3.33e-13 1.5e-16 * 0 * 0 51500.00 670.60 4.0e-01 * 0 * 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.49 * pksmb,htru_pks * -725 J1413-6205 J1413-6205 14:13:29.9 1.0e-01 -62:05:38 1.0e+00 * 0 * 0 * 0 54800.00 312.373 -0.736 0.109741 3.0e-11 2.77e-14 4.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 GRS:2FGL_J1413.4-6204[naa+12],GRS:1AGL_J FermiBlind NRAD - -726 J1413-6222 J1413-6222 14:13:05.4 8.0e-02 -62:22:27.8 1.1e+00 * 0 * 0 * 0 51092.00 312.241 -0.988 0.292408 3.0e-11 2.23e-15 6.0e-18 * 0 * 0 51092.00 808.10 1.2e+00 * 0 * 0 0.96 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.09 * pksmb,htru_pks * -727 B1409-62 J1413-6307 14:13:31.3 8.0e-03 -63:07:35.4 7.0e-02 * 0 * 0 * 0 48375.50 312.053 -1.718 0.394946 2.0e-12 7.43e-15 2.0e-19 * 0 * 0 48375.50 121.98 6.0e-02 * 0 * 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.04 * pks1,pksmb,htru_pks * -728 J1414-6802 J1414-6802 14:14:25.7 1.0e-01 -68:02:58 1.0e+00 * 0 * 0 * 0 51650.00 310.590 -6.420 4.630188 4.0e-10 6.39e-15 7.0e-17 * 0 * 0 51650.00 153.50 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.42 * pkssw,htru_pks * -729 J1415-6621 J1415-6621 14:15:31.2 3.0e-02 -66:21:12.2 3.0e-01 * 0 * 0 * 0 51396.18 311.234 -4.846 0.392479 5.0e-11 5.80e-16 1.0e-18 * 0 * 0 51396.18 260.17 7.0e-02 * 0 * 0 0.71 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.45 * pkssw,pksmb,htru_pks * -730 J1416-5033 J1416-5033 14:16:44.6 2.0e-01 -50:33:17 3.0e+00 * 0 * 0 * 0 55337.00 316.504 10.055 0.794883 2.0e-09 1.20e-16 5.0e-17 * 0 * 0 55337.00 58.50 3.0e-01 * 0 * 0 0.13 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * htru_pks * - -731 J1416-6037 J1416-6037 14:16:30.5 1.6e-01 -60:37:59.5 9.0e-01 * 0 * 0 * 0 51031.00 313.179 0.535 0.295580 3.0e-11 4.28e-15 1.5e-17 * 0 * 0 51031.00 289.20 1.0e+00 * 0 * 0 0.70 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.08 * pksmb,htru_pks * -732 J1417-4402 J1417-4402 14:17:30.6 9.0e-02 -44:02:57.4 9.0e-01 * 0 * 0 * 0 57022.00 318.861 16.144 0.002664 4.0e-10 * 0 * 0 * 0 57022.00 55.00 3.0e-02 * 0 * 0 * 0 ELL1 * 0 5.3737 3.0e-05 4.8760 9.0e-03 * 0 * 0 57111.4570 2.0e-03 * 0 * 0 4.40 GRS:3FGL_J1417.5-4402[aaa+15],XRS:[scc+1 FermiAssoc * -733 J1418-3921 J1418-3921 14:18:50.2 5.0e-03 -39:21:18.5 1.0e-01 * 0 * 0 * 0 49014.00 320.820 20.461 1.096806 2.0e-11 8.89e-16 3.0e-19 * 0 * 0 49014.00 60.49 1.0e-02 * 0 24.00 0 1.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.08 * pks70,pkssw * -734 J1418-5945 J1418-5945 14:18:32.3 4.0e-01 -59:45:00 3.0e+00 * 0 * 0 * 0 51668.00 313.706 1.287 1.672596 3.0e-10 2.71e-16 1.7e-17 * 0 * 0 51668.00 369.00 1.5e+01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb * -735 J1418-6058 J1418-6058 14:18:42.7 1.0e-01 -60:57:49 2.0e+00 * 0 * 0 * 0 54944.00 313.325 0.135 0.110573 1.3e-11 1.69e-13 1.0e-17 6.400e-22 3.0e-23 -8.000e-29 2.0e-30 54944.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.89 GRS:2FGL_J1418.7-6058[naa+12],GRS:HESS_J FermiBlind NRAD - -736 B1417-54 J1420-5416 14:20:29.1 1.0e-01 -54:16:23 1.0e+00 * 0 * 0 * 0 43557.87 315.793 6.360 0.935772 3.0e-10 2.37e-16 1.2e-17 * 0 * 0 43557.87 129.60 1.2e+00 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * mol2,pks70,pkssw,htru_pks * -737 J1420-5625 J1420-5625 14:20:03.0 3.0e-03 -56:25:55.0 3.0e-02 * 0 * 0 * 0 52558.00 315.002 4.349 0.034117 1.2e-13 6.75e-20 1.7e-20 * 0 * 0 52558.00 64.56 9.0e-02 * 0 * 0 0.13 2.0e-02 BT 52388.9450 6.0e-03 40.2945 4.0e-06 29.5398 4.0e-05 337.30 5.0e-02 3.500e-03 3.0e-06 * 0 * 0 * 0 1.33 * pksmb * -738 J1420-6048 J1420-6048 14:20:08.2 1.6e-02 -60:48:16.4 1.5e-01 * 0 * 0 * 0 51600.00 313.541 0.227 0.068180 2.0e-11 8.32e-14 3.0e-18 * 0 * 0 51600.00 360.15 6.0e-02 * 0 * 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.63 GRS:2FGL_J1420.1-6047[naa+12],GRS:HESS_J pksmb,htru_pks HE[rrj01,waa+10] -739 J1421-4409 J1421-4409 14:21:20.9 3.0e-04 -44:09:04.5 4.0e-03 -10.000 8.0e+00 3.000 2.0e+00 * 0 57600.00 319.497 15.809 0.006386 3.0e-14 1.27e-20 4.0e-22 * 0 * 0 57600.00 54.63 4.0e-03 * 0 * 0 1.40 0 ELL1 56935.6000 1.0e-01 30.7465 2.0e-07 12.7067 5.0e-06 39.00 1.0e+00 1.280e-05 4.0e-07 * 0 * 0 * 0 2.08 * pks_superb * -740 J1422-6138 J1422-6138 14:22:27.0 1.0e-02 -61:38:28 1.0e+00 * 0 * 0 * 0 55214.00 313.519 -0.654 0.340968 1.2e-10 9.68e-14 1.1e-17 -1.500e-23 3.0e-24 * 0 55214.00 * 0 * 0 * 0 0.00 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD - -741 J1423-6953 J1423-6953 14:23:26.7 2.0e-02 -69:53:42.8 8.0e-02 * 0 * 0 * 0 53000.00 310.736 -8.430 0.333411 3.0e-12 1.45e-15 6.0e-20 * 0 * 0 53000.00 123.98 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.70 * pkssw,htru_pks * -742 J1424-5556 J1424-5556 14:24:12.7 3.0e-02 -55:56:13.9 3.0e-01 * 0 * 0 * 0 52260.00 315.718 4.614 0.770375 1.8e-11 7.80e-16 3.0e-18 * 0 * 0 52260.00 198.70 2.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.20 * pksmb,htru_pks * -743 J1424-56 J1424-56 14:24:23 5.0e+01 -56:40:47 4.2e+02 * 0 * 0 * 0 54831.00 315.478 3.911 1.427000 0 * 0 * 0 * 0 54831.00 32.90 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.95 * htru_pks RRAT -744 J1424-5822 J1424-5822 14:24:32.1 3.0e-02 -58:22:56.0 2.0e-01 * 0 * 0 * 0 51368.00 314.897 2.310 0.366734 6.0e-12 3.94e-15 3.0e-18 * 0 * 0 51368.00 323.90 6.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.70 * pksmb,htru_pks * -745 J1424-6438 J1424-6438 14:24:59.2 2.0e-01 -64:38:10.0 9.0e-01 * 0 * 0 * 0 51780.00 312.741 -3.561 1.023504 9.0e-11 2.40e-16 7.0e-17 * 0 * 0 51780.00 248.00 5.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.08 * pksmb * - -746 J1425-5723 J1425-5723 14:25:36.5 3.0e-02 -57:23:30.8 4.0e-01 * 0 * 0 * 0 51468.00 315.382 3.186 0.353263 8.0e-11 2.20e-17 2.0e-18 * 0 * 0 51468.00 43.40 1.3e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * pksmb,htru_pks * -747 J1425-5759 J1425-5759 14:25:59.1 7.0e-02 -57:59:10.2 9.0e-01 * 0 * 0 * 0 51496.00 315.217 2.613 0.707868 4.0e-11 7.42e-16 1.6e-17 * 0 * 0 51496.00 325.00 5.0e+00 * 0 * 0 0.09 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.63 * pksmb * -748 J1425-6210 J1425-6210 14:25:07.7 3.0e-01 -62:10:04.9 1.0e+00 * 0 * 0 * 0 51031.00 313.630 -1.258 0.501730 8.0e-11 4.78e-16 4.0e-17 * 0 * 0 51031.00 430.10 1.7e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * pksmb,htru_pks * -749 J1427-4158 J1427-4158 14:27:50.7 9.0e-03 -41:58:56.3 3.0e-01 * 0 * 0 * 0 53000.00 321.480 17.391 0.586486 1.8e-11 6.21e-16 7.0e-19 * 0 * 0 53000.00 71.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pkssw * -750 B1424-55 J1428-5530 14:28:26.2 1.6e-02 -55:30:50.2 2.0e-01 * 0 * 0 * 0 46916.00 316.427 4.796 0.570290 7.0e-12 2.08e-15 4.0e-19 * 0 * 0 46800.00 82.40 6.0e-01 * 0 35.00 0 3.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * mol2,pks70,pksmb,htru_pks * - -751 J1429-5911 J1429-5911 14:29:58.6 1.0e-01 -59:11:36.6 7.0e-01 * 0 * 0 * 0 54800.00 315.261 1.299 0.115843 3.0e-11 3.05e-14 3.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.95 GRS:2FGL_J1430.0-5909[naa+12] FermiBlind NRAD -752 J1429-5935 J1429-5935 14:29:25.9 1.0e-01 -59:35:58.9 1.2e+00 * 0 * 0 * 0 51232.00 315.046 0.947 0.763915 8.0e-11 4.28e-14 9.0e-18 * 0 * 0 51232.00 456.70 2.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.69 * pksmb * -753 B1426-66 J1430-6623 14:30:40.8 1.8e-02 -66:23:05.0 1.4e-01 -31.000 5.0e+00 -21.000 3.0e+00 * 0 46916.00 312.653 -5.404 0.785441 8.0e-12 2.77e-15 5.0e-19 * 0 * 0 46800.00 65.30 1.0e-01 * 0 130.00 0 8.00 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * mol1,mol2,pks70,pkssw,pksmb,htru_pk * -754 J1431-4715 J1431-4715 14:31:44.6 2.0e-04 -47:15:27.5 4.0e-03 -7.000 3.0e+00 -8.000 4.0e+00 * 0 55756.10 320.051 12.253 0.002012 9.0e-16 1.41e-20 3.0e-23 * 0 * 0 55756.10 59.35 1.0e-02 * 0 * 0 0.73 0 ELL1 * 0 0.4497 7.0e-10 0.5501 2.0e-06 97.43 0.0e+00 2.319e-05 0.0e+00 55756.1048 4.0e-07 2.300e-05 8.0e-06 -3.000e-06 7.0e-06 1.82 * htru_pks * -755 J1431-5740 J1431-5740 14:31:03.4 3.0e-04 -57:40:11.6 4.0e-03 * 0 * 0 * 0 55865.00 315.962 2.660 0.004111 1.2e-15 6.42e-21 1.2e-22 * 0 * 0 55865.00 131.46 3.0e-02 * 0 * 0 0.35 8.0e-03 BT 55461.7900 2.7e-01 2.7269 1.6e-08 2.2699 4.0e-06 95.00 4.0e+01 4.300e-06 2.8e-06 * 0 * 0 * 0 3.55 * htru_pks * - -756 J1432-5032 J1432-5032 14:32:52.2 7.0e-02 -50:32:17.3 6.0e-01 * 0 * 0 * 0 54842.00 318.936 9.155 2.034989 3.0e-10 5.92e-15 8.0e-18 * 0 * 0 54842.00 113.00 1.0e+00 * 0 * 0 0.29 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * htru_pks * -757 J1433+00 J1433+00 14:33:30 1.1e+02 +00:28 8.0e+00 * 0 * 0 * 0 * 349.749 53.792 * 0 * 0 * 0 * 0 * 23.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.99 * ar327 RRAT[dsm+16] -758 J1433-6038 J1433-6038 14:33:13.1 6.0e-02 -60:38:34.7 8.0e-01 * 0 * 0 * 0 54087.90 315.092 -0.197 1.954430 5.0e-10 5.63e-15 4.0e-17 * 0 * 0 54087.90 409.00 2.0e+00 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.22 * pksmb * -759 J1434-6006 J1434-6006 14:34:05.3 2.0e-01 -60:06:29.0 9.0e-01 * 0 * 0 * 0 51396.00 315.396 0.256 0.306368 4.0e-11 3.02e-15 1.7e-17 * 0 * 0 51396.00 332.00 4.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * pksmb,htru_pks * -760 J1434-6029 J1434-6029 14:34:39.1 3.0e-01 -60:29:49 3.0e+00 * 0 * 0 * 0 51137.00 315.310 -0.130 0.963348 1.6e-10 1.03e-15 8.0e-17 * 0 * 0 51137.00 282.00 3.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.81 * pksmb * - -761 J1434+7257 J1434+7257 14:33:59.7 9.0e-04 +72:57:26.5 6.0e-03 * 0 * 0 * 0 55891.00 113.082 42.153 0.041741 3.0e-14 5.50e-19 1.0e-21 * 0 * 0 55891.00 12.61 1.0e-03 * 0 1.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.97 * gbncc * -762 J1435-5954 J1435-5954 14:35:00.3 5.0e-02 -59:54:49.2 3.0e-01 * 0 * 0 * 0 50545.00 315.577 0.391 0.472995 1.6e-11 1.54e-15 7.0e-19 * 0 * 0 50545.00 44.26 1.1e-01 * 0 * 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * pksmb,htru_pks * -763 J1435-6100 J1435-6100 14:35:20.2 5.0e-04 -61:00:57.9 7.0e-03 * 0 * 0 * 0 51270.00 315.186 -0.641 0.009348 7.0e-15 2.45e-20 5.0e-22 * 0 * 0 51270.00 113.70 6.0e-01 * 0 * 0 0.25 4.0e-02 ELL1 * 0 1.3549 1.8e-09 6.1840 4.0e-06 10.45 0.0e+00 1.047e-05 0.0e+00 51270.6084 6.0e-07 1.900e-06 1.2e-06 1.030e-05 1.5e-06 2.81 * pksmb * -764 J1437-5959 J1437-5959 14:37:01.9 3.0e-02 -59:59:01.4 3.0e-01 * 0 * 0 * 0 54827.00 315.783 0.227 0.061696 9.0e-13 8.59e-15 5.0e-19 * 0 * 0 54827.00 549.60 1.1e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.55 SNR:G315.9-0.0,PWN:G315.78-0.23[nbg+12] misc * -765 J1437-6146 J1437-6146 14:37:15.3 9.0e-02 -61:46:02.0 8.0e-01 * 0 * 0 * 0 51614.00 315.101 -1.422 0.467616 7.0e-11 6.33e-15 9.0e-19 * 0 * 0 51614.00 200.50 1.3e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.25 * pksmb,htru_pks * - -766 J1439-5501 J1439-5501 14:39:39.7 4.0e-04 -55:01:23.6 6.0e-03 * 0 * 0 * 0 53200.00 318.097 4.630 0.028635 1.2e-14 1.42e-19 1.0e-21 * 0 * 0 53200.00 14.56 5.0e-02 * 0 * 0 0.42 0 ELL1 * 0 2.1179 3.0e-09 9.8334 7.0e-06 276.80 0.0e+00 4.985e-05 0.0e+00 53058.0500 3.0e-07 -4.950e-05 1.5e-06 5.900e-06 1.3e-06 0.65 * pksmb * -767 J1439+76 J1439+76 14:39 2.0e+00 +76:55 3.6e+01 * 0 * 0 * 0 56657.00 115.405 38.596 0.947903 2.0e-06 * 0 * 0 * 0 56657.00 22.29 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.05 * gbncc RRAT -768 B1436-63 J1440-6344 14:40:31.3 1.8e-02 -63:44:47.6 2.0e-01 * 0 * 0 * 0 43555.77 314.646 -3.384 0.459605 3.0e-11 1.12e-15 1.1e-18 * 0 * 0 43555.77 124.20 5.0e-01 * 0 21.00 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.45 * mol2,pks70,pksmb,htru_pks * -769 J1441-6137 J1441-6137 14:41:44.3 1.0e-01 -61:37:24 2.0e+00 * 0 * 0 * 0 51670.00 315.646 -1.505 1.175840 1.0e-10 3.60e-16 5.0e-17 * 0 * 0 51670.00 166.00 3.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * pksmb,htru_pks * -770 J1443-5122 J1443-5122 14:43:26.9 6.0e-02 -51:22:26 1.0e+00 * 0 * 0 * 0 54800.00 320.135 7.717 0.732061 5.0e-10 3.38e-16 9.0e-18 * 0 * 0 54800.00 87.00 7.0e-01 * 0 * 0 0.68 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.98 * htru_pks * - -771 J1444-5941 J1444-5941 14:44:46.5 3.0e-01 -59:41:19 3.0e+00 * 0 * 0 * 0 51137.00 316.791 0.098 2.760228 6.0e-10 8.23e-15 3.0e-16 * 0 * 0 51137.00 177.10 1.9e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * pksmb,htru_pks * -772 J1444-6026 J1444-6026 14:44:06.0 7.0e-02 -60:26:09.4 4.0e-01 * 0 * 0 * 0 53893.00 316.400 -0.544 4.758576 2.0e-10 1.85e-14 8.0e-18 * 0 * 0 53893.00 367.70 1.4e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.82 * pksmb RRAT -773 J1446-4701 J1446-4701 14:46:35.7 2.0e-05 -47:01:26.7 4.0e-04 -4.000 2.0e-01 -2.000 3.0e-01 * 0 55647.80 322.500 11.425 0.002195 7.0e-17 9.81e-21 2.0e-24 * 0 * 0 55647.80 55.83 1.4e-04 * 0 * 0 0.40 0 ELL1 * 0 0.2777 1.3e-10 0.0640 3.0e-07 121.43 0.0e+00 2.110e-05 0.0e+00 55647.8044 2.0e-07 1.800e-05 8.0e-07 -1.100e-05 9.0e-08 1.57 GRS:2FGL_J1446.8-4701[naa+12] htru_pks HE -774 J1449-5846 J1449-5846 14:49:25.4 6.0e-02 -58:46:40.4 7.0e-01 * 0 * 0 * 0 51507.00 317.720 0.664 0.463330 1.8e-11 8.60e-17 9.0e-18 * 0 * 0 51507.00 216.60 1.8e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * pksmb,htru_pks * -775 J1452-5851 J1452-5851 14:52:52.5 7.0e-02 -58:51:13.3 2.0e+00 * 0 * 0 * 0 51280.00 318.087 0.398 0.386625 3.0e-11 5.07e-14 1.8e-17 * 0 * 0 51280.00 260.50 2.0e-01 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * pksmb,htru_pks * - -776 J1452-6036 J1452-6036 14:52:51.8 8.0e-03 -60:36:31.3 6.0e-02 * 0 * 0 * 0 51630.00 317.296 -1.169 0.154991 8.0e-13 1.45e-15 1.0e-19 * 0 * 0 51630.00 349.54 2.0e-02 * 0 * 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb,htru_pks * -777 J1453+1902 J1453+1902 14:53:45.7 4.0e-05 +19:02:12.1 1.0e-03 * 0 * 0 * 0 56936.00 23.395 60.812 0.005792 3.0e-16 1.17e-20 3.0e-23 * 0 * 0 56936.00 14.06 6.0e-04 * 0 2.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 * ar4 * -778 B1449-64 J1453-6413 14:53:32.7 1.0e-02 -64:13:15.5 8.0e-02 -16.000 1.0e+00 -21.300 8.0e-01 * 0 46917.00 315.733 -4.427 0.179485 1.1e-12 2.75e-15 7.0e-20 * 0 * 0 46800.00 71.25 2.0e-03 * 0 230.00 0 14.00 1.4e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.80 * mol1,mol2,pks70,pksmb,htru_pks * -779 J1454-5846 J1454-5846 14:54:10.9 3.0e-03 -58:46:34.7 3.0e-02 * 0 * 0 * 0 51300.00 318.272 0.391 0.045249 1.1e-13 8.17e-19 9.0e-21 * 0 * 0 51300.00 115.95 1.6e-01 * 0 * 0 0.24 3.0e-02 BT 51316.2560 4.0e-03 12.4231 2.0e-07 26.5289 5.0e-05 310.08 1.1e-01 1.898e-03 4.0e-06 * 0 * 0 * 0 2.98 * pksmb,htru_pks * -780 J1455-3330 J1455-3330 14:55:47.9 2.0e-05 -33:30:46.3 6.2e-04 * 0 * 0 0.990 2.2e-01 55293.00 330.722 22.562 0.007987 4.0e-17 2.43e-20 5.0e-25 8.000e-27 3.0e-26 * 0 55293.00 13.57 3.0e-04 * 0 9.00 1.0e+00 1.20 1.0e-01 DD 55378.7960 1.0e-03 76.1746 1.1e-08 32.3622 4.0e-07 -136.54 5.0e-03 1.696e-04 1.3e-08 * 0 * 0 * 0 1.01 * pks70 HE[lsg+15] - -781 J1455-59 J1455-59 14:55:06 3.0e+01 -59:23 7.0e+00 * 0 * 0 * 0 50841.70 318.101 -0.203 0.176191 2.0e-07 * 0 * 0 * 0 50841.70 498.00 0 * 0 * 0 1.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.69 * pksmb * -782 J1456-48 J1456-48 14:56 4.0e+00 -48:00 4.0e+01 * 0 * 0 * 0 56657.00 323.492 9.837 0.536810 0 * 0 * 0 * 0 56657.00 133.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.34 * ghrss * -783 B1451-68 J1456-6843 14:56:00.1 1.4e-02 -68:43:39.2 9.0e-02 -39.500 4.0e-01 -12.300 3.0e-01 2.200 3.0e-01 43560.00 313.869 -8.543 0.263377 1.9e-12 9.83e-17 1.3e-19 * 0 * 0 46800.00 8.64 7.0e-03 * 0 350.00 0 80.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * mol1,mol2,pks70,pkssw,htru_pks * -784 B1454-51 J1457-5122 14:57:40.1 1.2e-01 -51:22:53 3.0e+00 * 0 * 0 * 0 43563.97 322.134 6.722 1.748301 7.0e-10 5.29e-15 3.0e-17 * 0 * 0 43563.97 37.00 5.0e+00 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.99 * mol2,pks70,pkssw,htru_pks * -785 J1457-5900 J1457-5900 14:57:39.0 2.0e-01 -59:00:51 3.0e+00 * 0 * 0 * 0 51462.00 318.561 -0.027 1.498637 4.0e-10 3.66e-15 7.0e-17 * 0 * 0 51462.00 175.00 4.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * pksmb,htru_pks * - -786 J1457-5902 J1457-5902 14:57:31.9 1.0e-01 -59:02:04 2.0e+00 * 0 * 0 * 0 51312.00 318.538 -0.037 0.390739 5.0e-11 1.23e-14 1.4e-17 * 0 * 0 51312.00 477.20 1.9e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.37 * pksmb,htru_pks * -787 J1459-6053 J1459-6053 14:59:29.9 6.0e-02 -60:53:20.7 4.0e-01 * 0 * 0 * 0 54935.00 317.886 -1.791 0.103151 1.1e-11 2.53e-14 6.0e-19 -4.000e-23 2.0e-24 * 0 54935.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.84 GRS:2FGL_J1459.4-6054[naa+12] FermiBlind NRAD -788 J1501-0046 J1501-0046 15:01:44.9 9.4e-03 -00:46:23.5 8.8e-01 * 0 * 0 * 0 55170.00 356.582 48.051 0.464037 8.2e-12 2.39e-16 6.0e-18 * 0 * 0 55170.00 22.26 9.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.13 * gb350 * -789 J1501-5637 J1501-5637 15:01:51.0 4.0e-01 -56:37:48 5.0e+00 * 0 * 0 * 0 51506.00 320.181 1.810 0.782949 3.0e-10 1.70e-16 8.0e-17 * 0 * 0 51506.00 258.00 1.0e+01 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.94 * pksmb,htru_pks * -790 J1502-5653 J1502-5653 15:02:57.3 1.1e-02 -56:53:39.2 1.2e-01 * 0 * 0 * 0 51780.00 320.186 1.505 0.535504 3.0e-12 1.83e-15 3.0e-19 * 0 * 0 51780.00 194.00 4.0e-01 * 0 * 0 0.39 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.96 * pksmb,htru_pks * - -791 J1502-5828 J1502-5828 15:02:43.8 3.0e-01 -58:28:42 6.0e+00 * 0 * 0 * 0 51297.00 319.395 0.133 0.668105 1.4e-10 3.64e-14 8.0e-17 * 0 * 0 51297.00 584.00 4.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.09 * pksmb,htru_pks * -792 J1502-6128 J1502-6128 15:02:29.8 5.0e-02 -61:28:50.3 5.0e-01 * 0 * 0 * 0 51708.00 317.921 -2.483 0.842104 3.0e-11 1.35e-15 7.0e-18 * 0 * 0 51708.00 256.50 1.4e+00 * 0 * 0 0.56 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.19 * pksmb,htru_pks * -793 J1502-6752 J1502-6752 15:02:18.6 2.0e-03 -67:52:16.7 1.8e-02 -6.000 9.0e+00 -14.000 1.6e+01 * 0 55421.20 314.799 -8.067 0.026744 6.0e-14 3.15e-19 1.4e-21 * 0 * 0 55421.20 151.20 1.8e+00 * 0 * 0 0.69 0 ELL1 * 0 2.4845 1.8e-07 0.3175 2.0e-05 137.60 0.0e+00 3.114e-05 0.0e+00 55421.2120 3.0e-05 2.100e-05 1.4e-04 -2.300e-05 1.5e-04 7.74 * htru_pks * -794 J1503+2111 J1503+2111 15:03:54.6 4.0e-02 +21:11:09.3 5.0e-01 * 0 * 0 * 0 52857.00 29.062 59.296 3.314002 1.2e-10 1.40e-16 2.0e-17 * 0 * 0 52857.00 3.26 4.1e-03 * 0 1.30 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.24 * ar4 * -795 J1504-5621 J1504-5621 15:04:49.1 7.0e-02 -56:21:32 1.0e+00 * 0 * 0 * 0 51505.00 320.671 1.849 0.412985 3.0e-11 5.53e-15 1.2e-17 * 0 * 0 51505.00 143.00 5.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 * pksmb,htru_pks * - -796 B1503-51 J1506-5158 15:06:39.5 7.0e-01 -51:58:10 1.0e+01 * 0 * 0 * 0 43613.68 323.076 5.534 0.840739 3.0e-09 6.37e-15 1.4e-16 * 0 * 0 43613.68 61.00 1.7e+00 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.38 * mol2 * -797 B1504-43 J1507-4352 15:07:34.1 3.0e-02 -43:52:03.2 8.0e-01 * 0 * 0 * 0 43555.79 327.339 12.459 0.286757 3.0e-11 1.60e-15 1.2e-18 * 0 * 0 43555.79 48.70 5.0e-01 * 0 16.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.39 * mol2,pks70,pkssw,htru_pks * -798 B1503-66 J1507-6640 15:07:48.6 7.0e-02 -66:40:57.1 6.0e-01 * 0 * 0 * 0 43564.00 315.858 -7.297 0.355655 6.0e-11 1.16e-15 3.0e-18 * 0 * 0 43564.00 129.80 5.0e-01 * 0 13.00 0 1.05 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * mol2,pkssw,htru_pks * -799 B1508+55 J1509+5531 15:09:25.6 1.0e-04 +55:31:32.3 2.0e-03 -73.640 5.0e-02 -62.650 9.0e-02 0.470 3.0e-02 52275.00 91.325 52.287 0.739682 4.0e-12 5.00e-15 4.0e-20 5.160e-26 1.5e-27 * 0 49904.00 19.62 3.0e-04 * 0 114.00 5.0e+00 8.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * gb1,gb2,gb3,gb4,gbncc * -800 J1509-5850 J1509-5850 15:09:27.1 3.0e-02 -58:50:56.1 5.0e-01 * 0 * 0 * 0 51463.00 319.972 -0.621 0.088922 3.0e-12 9.17e-15 7.0e-19 * 0 * 0 51463.00 142.10 1.0e-01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 XRS:PWN[hb07c],GRS:2FGL_J1509.6-5850[naa pksmb HE[waa+10] - -801 J1509-6015 J1509-6015 15:09:07.5 1.0e-01 -60:15:18.6 6.0e-01 * 0 * 0 * 0 51759.00 319.228 -1.815 0.339038 4.0e-11 2.12e-15 1.2e-17 * 0 * 0 51759.00 423.60 1.7e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.08 * pksmb,htru_pks * -802 B1507-44 J1510-4422 15:10:48.9 4.0e-01 -44:22:07 6.0e+00 * 0 * 0 * 0 43557.99 327.586 11.729 0.943871 1.1e-09 6.10e-16 4.0e-17 * 0 * 0 43557.99 84.00 7.0e+00 * 0 14.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * mol2,pks70,pkssw,htru_pks * -803 J1511-5414 J1511-5414 15:11:51.3 6.0e-03 -54:14:40.3 1.0e-01 * 0 * 0 * 0 51684.00 322.598 3.177 0.200384 1.7e-12 4.85e-16 3.0e-19 * 0 * 0 51684.00 84.76 1.7e-01 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pksmb,htru_pks * -804 J1511-5835 J1511-5835 15:11:07.0 3.0e-01 -58:35:28 1.0e+00 * 0 * 0 * 0 51397.00 320.289 -0.508 0.301511 4.0e-11 3.44e-16 1.9e-17 * 0 * 0 51397.00 332.00 3.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pksmb,htru_pks * -805 J1512-5431 J1512-5431 15:12:05.7 2.0e-01 -54:31:19 3.0e+00 * 0 * 0 * 0 51709.00 322.486 2.920 2.040532 3.0e-10 1.92e-15 6.0e-17 * 0 * 0 51709.00 219.00 6.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.12 * pksmb,htru_pks * - -806 B1508-57 J1512-5759 15:12:43.0 1.1e-02 -57:59:59.8 2.0e-01 * 0 * 0 * 0 47911.70 320.772 -0.108 0.128694 2.0e-12 6.85e-15 6.0e-20 * 0 * 0 47911.70 627.47 1.0e-02 * 0 * 0 6.00 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.84 * pks1,pksmb,htru_pks * -807 J1513-5739 J1513-5739 15:13:58.9 9.0e-02 -57:39:01.4 1.3e+00 * 0 * 0 * 0 51137.00 321.097 0.104 0.973458 9.0e-11 2.75e-14 4.0e-17 * 0 * 0 51137.00 469.70 1.0e+00 * 0 * 0 0.77 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.89 * pksmb,htru_pks * -808 B1509-58 J1513-5908 15:13:55.6 9.0e-02 -59:08:09.0 1.0e+00 * 0 * 0 * 0 52834.59 320.321 -1.162 0.151251 7.0e-14 1.53e-12 1.4e-21 1.919e-21 5.0e-28 -9.139e-32 2.0e-35 52834.59 252.50 3.0e-01 * 0 1.50 0 0.94 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 SNR:G320.4-1.2,GRS:PWN:2FGL_J1514.0-5915 misc,pksmb,htru_pks HE[umw+93,ppp+09] -809 J1513-5946 J1513-5946 15:13:44.7 1.0e-02 -59:46:31.9 7.0e-01 * 0 * 0 * 0 54909.00 319.970 -1.697 1.046117 8.0e-12 8.53e-15 4.0e-19 * 0 * 0 54909.00 171.70 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.76 * pksmb RRAT -810 B1510-48 J1514-4834 15:14:14.5 6.0e-02 -48:34:19.5 1.1e+00 * 0 * 0 * 0 43564.99 325.872 7.835 0.454839 9.0e-11 9.25e-16 4.0e-18 * 0 * 0 43564.99 51.50 8.0e-01 * 0 8.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * mol2,pks70,pkssw,htru_pks * - -811 J1514-4946 J1514-4946 15:14:19.1 1.0e-04 -49:46:15.5 5.0e-03 -0.300 3.2e+00 -30.000 6.6e+01 * 0 55520.00 325.249 6.807 0.003589 7.0e-16 1.86e-20 1.1e-23 * 0 * 0 55520.00 31.05 2.0e-02 * 0 * 0 0.17 1.1e-01 ELL1 * 0 1.9227 5.0e-09 1.9333 2.0e-06 36.29 0.0e+00 1.090e-05 0.0e+00 55585.8606 3.0e-07 6.454e-06 2.0e-12 8.789e-06 3.0e-12 0.91 GRS:3FGL_J1514.2-4947[aaa+15] FermiAssoc HE -812 J1514-5925 J1514-5925 15:14:59.1 4.0e-02 -59:25:43.3 5.0e-01 * 0 * 0 * 0 51487.00 320.284 -1.482 0.148796 5.0e-12 2.88e-15 7.0e-19 * 0 * 0 51487.00 194.00 4.0e-01 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb * -813 J1515-5720 J1515-5720 15:15:09.3 1.0e-01 -57:20:49 3.0e+00 * 0 * 0 * 0 51478.00 321.390 0.282 0.286646 4.0e-11 6.10e-15 8.0e-18 * 0 * 0 51478.00 480.60 4.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.07 * pksmb,htru_pks * -814 J1517-4356 J1517-4356 15:17:27.3 1.0e-02 -43:56:17.9 2.0e-01 * 0 * 0 * 0 51500.00 328.850 11.463 0.650837 6.0e-12 2.16e-16 6.0e-19 * 0 * 0 51500.00 87.78 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * pkssw,htru_pks * -815 J1517-4636 J1517-4636 15:17:29.3 9.0e-03 -46:36:00.6 2.0e-01 * 0 * 0 * 0 55210.00 327.399 9.217 0.886612 5.0e-11 2.10e-15 2.0e-18 * 0 * 0 55210.00 127.00 1.0e-01 * 0 * 0 0.37 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.68 * htru_pks * - -816 B1516+02A J1518+0204A 15:18:33.3 6.0e-04 +02:05:27.5 3.0e-02 * 0 * 0 * 0 48445.00 3.870 46.802 0.005554 2.0e-15 4.12e-20 6.0e-23 * 0 * 0 48445.00 30.08 5.0e-02 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.50 GC:M5 misc * -817 B1516+02B J1518+0204B 15:18:31.4 3.0e-03 +02:05:15.4 5.0e-02 * 0 * 0 * 0 48445.00 3.859 46.806 0.007947 2.1e-14 -3.33e-21 2.6e-22 * 0 * 0 48445.00 29.47 1.1e-01 * 0 0.50 0 0.03 0 BT 48441.8144 2.0e-04 6.8585 3.0e-06 3.0486 7.0e-05 -0.32 1.5e-02 1.378e-01 3.0e-05 * 0 * 0 * 0 8.50 GC:M5 misc * -818 J1518+0204C J1518+0204C 15:18:32.7 2.1e-05 +02:04:47.8 8.0e-04 4.670 1.4e-01 -8.240 3.6e-01 * 0 52850.00 3.856 46.797 0.002484 6.0e-16 2.61e-20 1.3e-24 -1.450e-26 1.6e-27 * 0 52850.00 29.31 6.0e-04 * 0 * 0 0.04 0 ELL1 * 0 0.0868 3.0e-11 0.0573 5.7e-07 * 0 * 0 52850.0043 1.7e-07 * 0 * 0 8.00 GC:M5,OPT:COM_M5C[prf+14] misc * -819 J1518+0204D J1518+0204D 15:18:34 0 +02:04:58 0 * 0 * 0 * 0 53735.00 3.864 46.795 0.002988 1.0e-06 * 0 * 0 * 0 53735.00 29.30 1.0e-01 * 0 * 0 0.01 0 BT * 0 1.2210 4.0e-03 1.6000 1.0e-02 * 0 * 0 * 0 * 0 * 0 8.00 GC:M5 misc * -820 J1518+0204E J1518+0204E 15:18:34 0 +02:04:58 0 * 0 * 0 * 0 53735.00 3.864 46.795 0.003182 1.0e-06 * 0 * 0 * 0 53735.00 29.30 1.0e-01 * 0 * 0 0.01 0 BT * 0 1.0960 4.0e-03 1.1500 1.0e-02 * 0 * 0 * 0 * 0 * 0 8.00 GC:M5 misc * - -821 J1518-0627 J1518-0627 15:18:59.1 8.0e-03 -06:27:07.7 6.6e-01 * 0 * 0 * 0 55170.00 355.146 41.002 0.794997 7.8e-12 4.18e-16 5.6e-18 * 0 * 0 55170.00 27.96 9.8e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.68 * gb350 * -822 J1518+4904 J1518+4904 15:18:16.7 1.6e-05 +49:04:34.2 1.6e-04 -0.670 4.0e-02 -8.530 4.0e-02 * 0 51203.00 80.808 54.282 0.040935 6.0e-16 2.72e-20 3.0e-24 -5.100e-28 1.8e-27 * 0 52000.00 11.61 8.0e-05 * 0 8.00 4.0e+00 4.00 2.0e+00 DD 52857.7108 1.7e-07 8.6340 1.1e-09 20.0440 4.0e-07 342.55 7.0e-06 2.495e-01 3.0e-08 * 0 * 0 * 0 0.96 * gb4,gbncc * -823 J1518-5415 J1518-5415 15:18:13.5 1.0e-02 -54:15:45.0 3.0e-01 * 0 * 0 * 0 54220.60 323.383 2.675 0.214925 6.0e-12 4.06e-17 1.4e-18 * 0 * 0 54220.60 167.20 2.0e-01 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pksmb,htru_pks * -824 J1519-5734 J1519-5734 15:19:47.5 6.0e-02 -57:34:13.6 7.0e-01 * 0 * 0 * 0 53105.00 321.800 -0.238 0.518758 3.0e-11 4.27e-15 5.0e-18 * 0 * 0 53105.00 664.00 3.0e+00 * 0 * 0 0.45 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * pksmb,htru_pks * -825 J1519-6106 J1519-6106 15:19:35.8 1.1e-01 -61:06:54.6 1.2e+00 * 0 * 0 * 0 53048.00 319.876 -3.216 2.154307 1.4e-10 8.37e-15 1.9e-17 * 0 * 0 53048.00 221.00 3.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * pksmb,htru_pks * - -826 J1519-6308 J1519-6308 15:19:09.5 1.8e-01 -63:08:19.5 1.0e+00 * 0 * 0 * 0 52144.00 318.743 -4.896 1.254052 1.0e-10 5.96e-15 5.0e-17 * 0 * 0 52144.00 250.00 3.0e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.38 * pksmb,htru_pks * -827 J1522-5525 J1522-5525 15:22:06.7 1.0e-01 -55:25:17.5 9.0e-01 * 0 * 0 * 0 51097.00 323.231 1.397 1.389605 1.6e-09 3.30e-15 8.0e-17 * 0 * 0 51097.00 79.00 3.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * pksmb,htru_pks * -828 J1522-5735 J1522-5735 15:22:05.3 1.0e-01 -57:35:00 1.0e+00 * 0 * 0 * 0 55250.00 322.052 -0.415 0.102136 4.0e-11 3.12e-14 3.0e-18 -2.600e-23 5.0e-24 * 0 55250.00 * 0 * 0 * 0 0.00 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SNR:G321.9-0.3(?)[pga+13] FermiBlind NRAD -829 B1518-58 J1522-5829 15:22:42.2 2.0e-02 -58:29:02.7 2.0e-01 * 0 * 0 * 0 48360.00 321.630 -1.215 0.395353 3.0e-12 2.00e-15 2.0e-19 * 0 * 0 48360.00 199.90 2.0e-01 * 0 * 0 4.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * pks1,pksmb,htru_pks * -830 J1524-5625 J1524-5625 15:24:49.8 4.0e-02 -56:25:23.4 6.0e-01 * 0 * 0 * 0 51733.00 323.000 0.351 0.078219 5.0e-12 3.90e-14 1.9e-19 * 0 * 0 51733.00 152.20 1.0e-01 * 0 * 0 0.83 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.38 * pksmb,htru_pks * - -831 J1524-5706 J1524-5706 15:24:21.4 7.0e-02 -57:06:35 2.0e+00 * 0 * 0 * 0 51297.00 322.568 -0.186 1.116049 8.0e-11 3.56e-13 5.0e-17 * 0 * 0 51297.00 832.00 1.0e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.44 * pksmb,htru_pks * -832 J1524-5819 J1524-5819 15:24:24.6 2.0e-02 -58:19:14.1 4.0e-01 * 0 * 0 * 0 54174.80 321.907 -1.201 0.961043 1.0e-10 1.26e-13 1.0e-17 * 0 * 0 54174.80 406.60 5.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.54 * pksmb * -833 J1525-5417 J1525-5417 15:25:28.3 6.0e-02 -54:17:20 1.0e+00 * 0 * 0 * 0 51463.00 324.258 2.078 1.011694 7.0e-11 1.62e-14 1.4e-17 * 0 * 0 51463.00 235.00 3.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * pksmb,htru_pks * -834 J1525-5523 J1525-5523 15:25:36.0 7.0e-03 -55:23:27.2 2.0e-01 * 0 * 0 * 0 55682.00 323.662 1.151 0.355156 1.6e-12 8.96e-18 7.0e-20 * 0 * 0 55682.00 124.70 3.0e-01 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.13 * htru_pks * -835 J1525-5545 J1525-5545 15:25:28.1 2.0e-04 -55:45:49.8 5.0e-03 * 0 * 0 * 0 55891.50 323.439 0.851 0.011360 1.9e-14 1.31e-19 6.0e-22 * 0 * 0 55891.50 126.93 7.0e-03 * 0 * 0 0.33 0 ELL1 * 0 0.9903 7.0e-10 4.7105 6.0e-06 247.75 0.0e+00 4.754e-06 0.0e+00 55891.5286 2.0e-07 -4.400e-06 1.7e-06 -1.800e-06 1.6e-06 3.14 * htru_pks * - -836 J1525-5605 J1525-5605 15:25:41.4 9.0e-02 -56:05:13 2.0e+00 * 0 * 0 * 0 51467.00 323.286 0.565 0.280349 4.0e-11 1.16e-16 7.0e-18 * 0 * 0 51467.00 338.00 3.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * pksmb,htru_pks * -837 J1526-5633 J1526-5633 15:26:41.2 1.0e-01 -56:33:43 3.0e+00 * 0 * 0 * 0 51490.00 323.136 0.093 0.301888 5.0e-11 1.23e-16 1.7e-17 * 0 * 0 51490.00 329.00 4.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb * -838 B1524-39 J1527-3931 15:27:58.9 8.0e-02 -39:31:35 3.0e+00 * 0 * 0 * 0 43558.69 333.050 14.020 2.417582 9.0e-10 1.91e-14 4.0e-17 * 0 * 0 43558.69 49.00 3.0e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.71 * mol2,pks70,pkssw,htru_pks * -839 B1523-55 J1527-5552 15:27:40.9 2.0e-01 -55:52:07 3.0e+00 * 0 * 0 * 0 43558.00 323.639 0.590 1.048705 6.0e-10 1.13e-14 3.0e-17 * 0 * 0 43558.00 362.70 8.0e-01 * 0 17.00 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.32 * mol2,pks70,pksmb,htru_pks * -840 J1528-3146 J1528-3146 15:28:34.9 2.0e-04 -31:46:06.8 8.0e-03 * 0 * 0 * 0 52500.00 337.939 20.217 0.060822 1.0e-14 2.49e-19 1.0e-21 * 0 * 0 52500.00 18.16 6.0e-03 * 0 * 0 1.10 0 DD 52502.4014 2.0e-03 3.1803 3.0e-09 11.4523 5.0e-06 296.84 2.0e-01 2.130e-04 1.0e-06 * 0 * 0 * 0 0.77 * pkssw * - -841 J1528-4109 J1528-4109 15:28:08.0 8.0e-03 -41:09:28.8 2.0e-01 * 0 * 0 * 0 51500.00 332.106 12.671 0.526556 4.0e-12 3.96e-16 4.0e-19 * 0 * 0 51500.00 89.50 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pkssw,htru_pks * -842 J1528-5547 J1528-5547 15:28:39.1 1.2e-01 -55:47:23 2.0e+00 * 0 * 0 * 0 55839.00 323.796 0.579 3.467302 1.7e-09 7.75e-15 2.0e-20 * 0 * 0 55839.00 269.00 0 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * htru_pks * -843 J1528-5838 J1528-5838 15:28:24.3 1.0e-01 -58:38:01 1.0e+00 * 0 * 0 * 0 55806.00 322.166 -1.752 0.355687 8.0e-12 2.48e-14 1.3e-19 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1528.3-5836[aaa+15] FermiBlind NRAD -844 J1529-3828 J1529-3828 15:29:15.1 1.0e-03 -38:28:45.8 3.0e-02 * 0 * 0 * 0 55847.00 333.886 14.728 0.008486 6.0e-14 2.70e-20 1.3e-21 * 0 * 0 55847.00 73.62 2.0e-02 * 0 * 0 0.16 0 DD 55941.6000 1.6e-01 119.6748 1.6e-05 29.3405 2.0e-05 282.20 4.0e-01 1.686e-04 1.4e-06 * 0 * 0 * 0 4.30 * htru_pks * -845 J1529-5355 J1529-5355 15:29:57.6 3.0e-01 -53:55:36 5.0e+00 * 0 * 0 * 0 51485.00 325.006 2.009 0.891265 4.0e-10 8.10e-16 4.0e-17 * 0 * 0 51485.00 292.00 9.0e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.24 * pksmb,htru_pks * - -846 J1529-5611 J1529-5611 15:29:35.8 6.0e-01 -56:11:29 1.3e+01 * 0 * 0 * 0 51311.00 323.678 0.173 0.822249 5.0e-10 4.10e-15 3.0e-16 * 0 * 0 51311.00 149.00 1.0e+01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.32 * pksmb,htru_pks * -847 J1530-5327 J1530-5327 15:30:26.8 6.0e-02 -53:27:56.3 7.0e-01 * 0 * 0 * 0 51253.00 325.328 2.347 0.278957 1.5e-11 4.68e-15 4.0e-18 * 0 * 0 51253.00 49.60 1.0e-01 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * pksmb,htru_pks * -848 J1530-63 J1530-63 15:30:52 0 -63:43:33 0 * 0 * 0 * 0 55561.00 319.510 -6.111 0.910300 0 * 0 * 0 * 0 55561.00 206.50 1.5e-01 * 0 * 0 0.43 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.55 * htru_pks * -849 J1531-4012 J1531-4012 15:31:08.0 1.0e-02 -40:12:30.9 4.0e-01 * 0 * 0 * 0 51500.00 333.147 13.113 0.356849 6.0e-12 9.63e-17 6.0e-19 * 0 * 0 51500.00 106.65 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.52 * pkssw * -850 J1531-5610 J1531-5610 15:31:27.9 1.0e-02 -56:10:55.0 1.0e-01 * 0 * 0 * 0 51448.00 323.897 0.033 0.084202 8.0e-13 1.37e-14 3.0e-19 * 0 * 0 51448.00 110.41 3.0e-02 * 0 * 0 0.60 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.84 * pksmb,htru_pks * - -851 B1530+27 J1532+2745 15:32:10.3 8.1e-03 +27:45:49.4 1.4e-01 * 0 * 0 * 0 49666.00 43.481 54.495 1.124836 7.0e-12 7.80e-16 6.0e-20 -8.500e-28 7.6e-28 * 0 49666.00 14.69 1.6e-02 * 0 13.00 2.0e+00 0.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * gb1,ar4,gb4 * -852 J1532-5308 J1532-5308 15:32:35.5 1.0e-01 -53:08:06 2.0e+00 * 0 * 0 * 0 51587.00 325.780 2.434 0.443825 4.0e-11 6.50e-17 6.0e-18 * 0 * 0 51587.00 181.00 3.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.82 * pksmb * -853 J1532-56 J1532-56 15:32:18 3.0e+01 -56:32 7.0e+00 * 0 * 0 * 0 56657.00 323.790 -0.321 0.522977 1.3e-10 * 0 * 0 * 0 56657.00 282.00 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.44 * htru_pks * -854 J1534-4428 J1534-4428 15:34:52.0 5.0e-02 -44:28:09.4 8.0e-01 * 0 * 0 * 0 55337.00 331.161 9.261 1.221426 3.0e-10 1.80e-16 2.0e-17 * 0 * 0 55337.00 137.30 2.0e-01 * 0 * 0 0.55 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.64 * htru_pks * -855 J1534-46 J1534-46 15:34:08 4.2e+01 -46:14 1.5e+01 * 0 * 0 * 0 54831.00 330.007 7.910 0.364835 9.0e-06 * 0 * 0 * 0 54831.00 64.40 7.8e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.04 * pkssw RRAT - -856 B1530-53 J1534-5334 15:34:08.3 2.0e-02 -53:34:19.3 3.0e-01 * 0 * 0 * 0 46902.00 325.716 1.944 1.368881 2.0e-11 1.43e-15 1.8e-18 * 0 * 0 46800.00 24.82 1.0e-02 * 0 70.00 0 6.80 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -857 B1530-539 J1534-5405 15:34:33.5 3.0e-02 -54:05:39.7 5.0e-01 * 0 * 0 * 0 48360.60 325.463 1.483 0.289689 6.0e-12 1.54e-15 4.0e-19 * 0 * 0 48360.60 190.82 2.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * pks1,pksmb,htru_pks * -858 J1535-4114 J1535-4114 15:35:17.0 1.0e-02 -41:14:03.1 3.0e-01 * 0 * 0 * 0 51500.00 333.175 11.821 0.432866 6.0e-12 4.07e-15 6.0e-19 * 0 * 0 51500.00 66.28 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.77 * pkssw,htru_pks * -859 J1535-4415 J1535-4415 15:35:55.9 7.0e-02 -44:15:08.4 1.2e+00 * 0 * 0 * 0 53000.00 331.447 9.324 0.468402 3.0e-11 4.05e-17 9.0e-19 * 0 * 0 53000.00 110.70 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.81 * pkssw,htru_pks * -860 J1535-5450 J1535-5450 15:35:58.2 6.0e-02 -54:50:26 1.0e+00 * 0 * 0 * 0 51448.00 325.194 0.757 0.566734 4.0e-11 1.43e-14 1.0e-17 * 0 * 0 51448.00 219.80 1.4e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * pksmb * - -861 J1535-5848 J1535-5848 15:35:16.7 4.0e-02 -58:48:27.7 3.0e-01 * 0 * 0 * 0 51760.00 322.797 -2.406 0.307178 7.0e-12 2.72e-15 3.0e-18 * 0 * 0 51760.00 107.00 7.0e-01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.97 * pksmb,htru_pks * -862 J1536-3602 J1536-3602 15:36:17.3 1.4e-02 -36:02:58.8 5.0e-01 * 0 * 0 * 0 53000.00 336.555 15.841 1.319759 5.0e-11 7.90e-16 1.9e-18 * 0 * 0 53000.00 96.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.04 * pkssw * -863 J1536-4948 J1536-4948 15:36 0 -49:48 0 * 0 * 0 * 0 55561.00 328.157 4.838 0.003080 0 * 0 * 0 * 0 55561.00 38.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 GRS:2FGL_J1536.4-4949[naa+12] FermiAssoc * -864 J1536-5433 J1536-5433 15:36:04.8 1.9e-01 -54:33:15 4.0e+00 * 0 * 0 * 0 51138.00 325.374 0.980 0.881438 3.0e-10 1.91e-15 8.0e-17 * 0 * 0 51138.00 147.50 1.9e+00 * 0 * 0 1.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.31 * pksmb,htru_pks * -865 J1536-5907 J1536-5907 15:36:17.7 2.0e-02 -59:07:03.6 6.0e-01 * 0 * 0 * 0 54211.60 322.722 -2.734 0.557841 3.0e-11 1.37e-15 7.0e-18 * 0 * 0 54211.60 316.00 2.0e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.13 * pksmb,htru_pks * - -866 B1534+12 J1537+1155 15:37:09.9 3.0e-06 +11:55:55.4 6.0e-05 1.482 7.0e-03 -25.285 1.2e-02 0.860 1.8e-01 52077.00 19.848 48.341 0.037904 1.6e-16 2.42e-18 3.0e-24 1.700e-29 1.1e-30 -1.600e-36 2.0e-37 52077.00 11.62 2.0e-05 -0.001 9.0e-06 36.00 0 0.60 2.0e-01 DD 52076.8271 1.1e-08 0.4207 2.0e-12 3.7295 6.0e-07 283.31 1.2e-05 2.737e-01 7.0e-08 * 0 * 0 * 0 1.05 XRS:[kpg06b] ar4,gb4 * -867 J1537-4912 J1537-4912 15:37:28.2 2.0e-01 -49:12:03 3.0e+00 * 0 * 0 * 0 53000.00 328.705 5.181 0.301311 8.0e-11 1.93e-15 2.0e-18 * 0 * 0 53000.00 69.70 1.4e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.05 * pkssw,pksmb * -868 J1537-5153 J1537-5153 15:37:15.7 6.0e-02 -51:53:06 1.0e+00 * 0 * 0 * 0 51423.00 327.088 3.035 1.528124 1.2e-10 4.17e-15 1.2e-17 * 0 * 0 51423.00 93.00 4.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.74 * pksmb * -869 J1537-5645 J1537-5645 15:37:51.0 3.0e-01 -56:45:04 7.0e+00 * 0 * 0 * 0 51306.00 324.283 -0.943 0.430464 1.5e-10 2.78e-15 6.0e-17 * 0 * 0 51306.00 707.00 5.0e+00 * 0 * 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.46 * pksmb,htru_pks * -870 J1538+2345 J1538+2345 15:38:06.0 2.0e-02 +23:45:04.0 2.0e-01 * 0 * 0 * 0 56745.00 37.318 52.391 3.449385 1.0e-10 6.89e-15 1.2e-17 * 0 * 0 56745.00 14.91 1.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.31 * gb350 RRAT - -871 J1538-5438 J1538-5438 15:38:48.9 1.5e-01 -54:38:17 3.0e+00 * 0 * 0 * 0 51138.00 325.645 0.679 0.276726 5.0e-11 1.42e-15 3.0e-17 * 0 * 0 51138.00 136.90 1.7e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * pksmb * -872 J1538-5519 J1538-5519 15:38:40.8 9.0e-02 -55:19:46 2.0e+00 * 0 * 0 * 0 54221.10 325.219 0.134 0.395731 8.0e-11 4.10e-17 1.5e-17 * 0 * 0 54221.10 611.00 3.0e+00 * 0 * 0 0.42 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pksmb,htru_pks * -873 J1538-5551 J1538-5551 15:38:45.0 4.0e-02 -55:51:36.9 6.0e-01 * 0 * 0 * 0 51886.00 324.912 -0.299 0.104675 4.0e-12 3.21e-15 4.0e-19 * 0 * 0 51886.00 604.60 1.0e-01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.99 * pksmb,htru_pks * -874 J1538-5621 J1538-5621 15:38:43.2 2.0e-02 -56:21:55.5 4.0e-01 * 0 * 0 * 0 55912.00 324.608 -0.703 1.908494 2.0e-11 7.31e-15 7.0e-19 * 0 * 0 55912.00 150.00 1.8e+01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.31 * htru_pks * -875 J1538-5638 J1538-5638 15:38:05.7 2.0e-01 -56:38:12 4.0e+00 * 0 * 0 * 0 51490.00 324.378 -0.871 0.843980 1.4e-10 7.12e-15 8.0e-17 * 0 * 0 51490.00 546.00 7.0e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.04 * pksmb,htru_pks * - -876 J1538-5732 J1538-5732 15:38:18.1 3.0e-02 -57:32:29.3 4.0e-01 * 0 * 0 * 0 51803.00 323.865 -1.617 0.341213 6.0e-12 4.55e-15 6.0e-19 * 0 * 0 51803.00 152.70 8.0e-01 * 0 * 0 0.35 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * pksmb,htru_pks * -877 J1538-5750 J1538-5750 15:38:08.4 4.0e-02 -57:50:17.1 6.0e-01 * 0 * 0 * 0 51484.00 323.672 -1.843 0.506568 1.8e-11 4.20e-17 3.0e-18 * 0 * 0 51484.00 91.00 4.0e+00 * 0 * 0 0.06 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * pksmb * -878 J1539-4828 J1539-4828 15:39:40.8 6.0e-02 -48:28:57 1.0e+00 * 0 * 0 * 0 54845.00 329.428 5.541 1.272842 1.4e-10 1.27e-15 2.0e-18 * 0 * 0 54845.00 117.00 5.0e+00 * 0 * 0 0.21 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * -879 J1539-5521 J1539-5521 15:39:07.9 7.0e-02 -55:21:11.2 8.0e-01 * 0 * 0 * 0 51730.00 325.256 0.077 1.004958 8.0e-11 7.28e-16 8.0e-18 * 0 * 0 51730.00 380.00 5.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb,htru_pks * -880 B1535-56 J1539-5626 15:39:13.9 2.0e-02 -56:26:25.4 4.0e-01 * 0 * 0 * 0 48376.00 324.621 -0.806 0.243392 2.0e-11 4.85e-15 7.0e-19 * 0 * 0 48376.00 175.85 3.0e-02 * 0 * 0 4.60 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.54 * pks1,pksmb,htru_pks * - -881 J1539-6322 J1539-6322 15:39:24.7 3.0e-02 -63:22:53.2 2.0e-01 * 0 * 0 * 0 53000.00 320.488 -6.390 1.630846 3.0e-11 2.02e-16 6.0e-19 * 0 * 0 53000.00 163.50 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * pkssw,htru_pks * -882 J1540-5736 J1540-5736 15:40:59.0 1.2e-01 -57:36:57 3.0e+00 * 0 * 0 * 0 51309.00 324.109 -1.891 0.612916 8.0e-11 4.21e-16 3.0e-17 * 0 * 0 51309.00 304.50 1.3e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.35 * pksmb,htru_pks * -883 J1541-42 J1541-42 15:41:55 3.8e+01 -42:18:50 4.2e+02 * 0 * 0 * 0 * 333.514 10.214 * 0 * 0 * 0 * 0 * 60.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.11 * htru_pks RRAT -884 J1541-5535 J1541-5535 15:41:49.6 4.0e-01 -55:35:01 5.0e+00 * 0 * 0 * 0 51527.00 325.424 -0.337 0.295838 9.0e-11 7.50e-14 3.0e-17 * 0 * 0 51527.00 426.10 1.0e-01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.16 * pksmb,htru_pks * -885 J1542-5034 J1542-5034 15:42:45.4 1.0e-02 -50:34:01.4 2.0e-01 * 0 * 0 * 0 48958.00 328.568 3.577 0.599245 1.0e-10 3.97e-15 3.0e-18 * 0 * 0 48958.00 91.00 6.0e-01 * 0 21.00 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * pks70,pksmb,htru_pks * - -886 J1542-5133 J1542-5133 15:42:19.9 1.3e-01 -51:33:35 3.0e+00 * 0 * 0 * 0 51911.00 327.913 2.827 1.783865 3.0e-10 5.89e-16 6.0e-17 * 0 * 0 51911.00 186.00 4.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.06 * pksmb,htru_pks * -887 J1542-5303 J1542-5303 15:42:54.5 4.0e-02 -53:03:41 1.0e+00 * 0 * 0 * 0 51491.00 327.073 1.578 1.207568 6.0e-11 7.78e-14 3.0e-17 * 0 * 0 51491.00 265.70 1.2e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.37 * pksmb,htru_pks * -888 B1540-06 J1543-0620 15:43:30.1 1.6e-03 -06:20:45.2 8.0e-02 -17.000 2.0e+00 -4.000 3.0e+00 * 0 49423.00 0.566 36.608 0.709064 4.0e-12 8.80e-16 4.0e-20 1.310e-26 1.0e-27 * 0 49423.00 18.38 9.0e-04 * 0 40.00 6.0e+00 2.00 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * mol2,gb2,pks70 * -889 B1541+09 J1543+0929 15:43:38.8 1.0e-04 +09:29:16.3 2.0e-03 -7.610 6.0e-02 -2.870 7.0e-02 0.130 2.0e-02 52275.00 17.811 45.775 0.748448 6.0e-12 4.32e-16 4.0e-20 -1.390e-26 8.0e-28 * 0 48716.00 34.98 1.6e-03 * 0 78.00 6.0e+00 5.90 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.90 * misc,mol2,gb4 * -890 J1543-5013 J1543-5013 15:43:58.2 8.0e-02 -50:13:58 1.0e+00 * 0 * 0 * 0 51456.00 328.925 3.725 0.644255 6.0e-10 1.01e-14 1.7e-17 * 0 * 0 51456.00 211.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb * - -891 J1543-5149 J1543-5149 15:43:44.1 2.0e-04 -51:49:54.6 2.0e-03 -4.300 1.4e+00 -4.000 2.0e+00 * 0 55522.00 327.921 2.479 0.002057 6.0e-16 1.62e-20 1.3e-23 * 0 * 0 55522.00 50.93 1.4e-01 * 0 * 0 0.55 0 ELL1 * 0 8.0608 9.0e-09 6.4803 2.0e-06 75.70 0.0e+00 2.146e-05 0.0e+00 54929.0678 1.1e-06 2.080e-05 5.0e-07 5.300e-06 6.0e-07 1.15 * htru_pks * -892 J1543-5459 J1543-5459 15:43:56.2 7.0e-02 -54:59:13.7 1.2e+00 * 0 * 0 * 0 51139.00 326.024 -0.044 0.377119 3.0e-11 5.20e-14 9.0e-18 * 0 * 0 51139.00 345.90 3.0e-01 * 0 * 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.66 * pksmb,htru_pks * -893 J1544+4937 J1544+4937 15:44:04.4 2.0e-05 +49:37:55.2 2.0e-04 * 0 * 0 * 0 56007.00 79.172 50.166 0.002159 5.0e-17 2.93e-21 5.0e-24 * 0 * 0 56007.00 23.23 1.0e-04 * 0 5.40 0 * 0 ELL1 * 0 0.1208 1.0e-10 0.0329 4.0e-07 * 0 * 0 56124.7701 2.0e-07 * 0 * 0 2.99 GRS:Fermi_J1544.2+4941[brr+13],OPT:[tkp+ misc HE -894 B1541-52 J1544-5308 15:44:59.8 1.8e-02 -53:08:46.5 5.0e-01 * 0 * 0 * 0 43555.80 327.271 1.320 0.178554 1.4e-11 6.07e-17 7.0e-19 * 0 * 0 43555.80 35.16 7.0e-02 * 0 23.00 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.93 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -895 J1545-4550 J1545-4550 15:45:55.9 4.0e-05 -45:50:37.5 8.0e-04 * 0 * 0 * 0 55937.00 331.892 6.988 0.003575 1.2e-16 5.25e-20 3.0e-23 * 0 * 0 55937.00 68.39 8.0e-03 * 0 * 0 0.75 6.0e-03 BT 55611.4000 2.0e-02 6.2031 8.0e-09 3.8469 6.0e-07 221.30 1.8e+00 1.300e-05 4.0e-07 * 0 * 0 * 0 2.25 * htru_pks * - -896 J1546-3747A J1546-3747A 15:46:03.4 0 -37:47:10.1 0 * 0 * 0 * 0 51900.00 337.023 13.268 0.002606 1.0e-13 * 0 * 0 * 0 51900.00 92.17 4.0e-02 * 0 * 0 * 0 BT 55355.6747 2.0e-05 1.3467 2.0e-07 1.3833 4.0e-05 * 0 * 0 * 0 * 0 * 0 6.45 GC:NGC5986 misc * -897 J1546-5302 J1546-5302 15:46:07.4 1.0e-01 -53:02:23.0 9.0e-01 * 0 * 0 * 0 51398.00 327.470 1.301 0.580840 4.0e-11 1.18e-14 3.0e-17 * 0 * 0 51398.00 287.00 3.0e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb,htru_pks * -898 J1546-59 J1546-59 15:46 0 -59 0 * 0 * 0 * 0 56102.00 323.791 -3.390 0.007800 0 * 0 * 0 * 0 56102.00 168.30 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.89 * pksmb * -899 J1547-0944 J1547-0944 15:47:46.0 3.6e-02 -09:44:07.8 3.2e+00 * 0 * 0 * 0 55170.00 358.314 33.573 1.576925 4.4e-11 2.94e-15 3.6e-17 * 0 * 0 55170.00 37.42 2.2e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.76 * gb350 * -900 J1547-5750 J1547-5750 15:47:30.6 1.0e-01 -57:50:29.4 1.5e+00 * 0 * 0 * 0 52044.00 324.663 -2.601 0.647198 6.0e-11 2.56e-17 5.0e-18 * 0 * 0 52044.00 148.00 4.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * - -901 J1547-5839 J1547-5839 15:47:34.9 4.0e-02 -58:39:09.8 7.0e-01 * 0 * 0 * 0 51876.00 324.167 -3.243 0.242190 1.0e-11 5.94e-16 3.0e-18 * 0 * 0 51876.00 222.30 1.2e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.68 * pksmb,htru_pks * -902 J1548-4821 J1548-4821 15:48:23.2 3.0e-02 -48:21:49.7 6.0e-01 * 0 * 0 * 0 51587.00 330.649 4.753 0.145655 3.0e-11 8.00e-19 1.1e-18 * 0 * 0 51587.00 126.00 5.0e-01 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pksmb,htru_pks * -903 J1548-4927 J1548-4927 15:48:19.4 3.0e-02 -49:27:40.4 5.0e-01 * 0 * 0 * 0 51685.00 329.956 3.900 0.602738 1.9e-11 4.05e-15 3.0e-18 * 0 * 0 51685.00 141.20 6.0e-01 * 0 * 0 0.69 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.52 * pksmb,htru_pks * -904 J1548-5607 J1548-5607 15:48:44.0 3.0e-02 -56:07:33.9 5.0e-01 * 0 * 0 * 0 51138.00 325.858 -1.359 0.170934 5.0e-12 1.07e-14 3.0e-18 * 0 * 0 51138.00 314.66 7.0e-02 * 0 * 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.70 * pksmb,htru_pks * -905 J1549+2113 J1549+2113 15:49:40.9 5.0e-03 +21:13:26.9 1.0e-01 * 0 * 0 * 0 51738.00 34.625 49.129 1.262471 5.0e-12 8.54e-16 8.0e-19 * 0 * 0 51738.00 24.06 3.6e-03 * 0 0.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * ar4 * - -906 J1549-4848 J1549-4848 15:49:21.1 4.0e-03 -48:48:37.4 8.0e-02 * 0 * 0 * 0 48736.00 330.494 4.304 0.288347 2.0e-12 1.41e-14 3.0e-20 * 0 * 0 48736.00 55.98 8.0e-03 * 0 17.00 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.31 * pks70,pksmb,htru_pks * -907 J1549-57 J1549-57 15:49:05 5.2e+01 -57:21:37 4.2e+02 * 0 * 0 * 0 55196.00 325.127 -2.354 0.737500 3.0e-04 * 0 * 0 * 0 55196.00 17.70 3.5e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.70 * htru_pks RRAT -908 J1549-5722 J1549-5722 15:49:47.9 1.0e-01 -57:22:02 1.0e+00 * 0 * 0 * 0 51685.00 325.198 -2.420 0.497772 8.0e-11 4.70e-17 1.0e-17 * 0 * 0 51685.00 102.00 4.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.86 * pksmb * -909 J1550-5242 J1550-5242 15:50:02.9 5.0e-02 -52:42:07.0 8.0e-01 * 0 * 0 * 0 51335.00 328.144 1.198 0.749659 4.0e-11 1.78e-14 6.0e-18 * 0 * 0 51335.00 337.70 1.8e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.65 * pksmb,htru_pks * -910 J1550-5317 J1550-5317 15:50:04.8 1.0e-01 -53:17:21 2.0e+00 * 0 * 0 * 0 51535.00 327.780 0.737 1.421124 1.3e-10 9.35e-16 1.1e-17 * 0 * 0 51535.00 600.00 8.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.94 * pksmb,htru_pks * - -911 J1550-5418 J1550-5418 15:50:54.1 6.4e-04 -54:18:24.1 2.0e-03 4.800 5.0e-01 -7.900 3.0e-01 * 0 54795.00 327.237 -0.132 2.069833 4.0e-08 2.32e-11 5.0e-14 * 0 * 0 54270.00 830.00 5.0e+01 * 0 * 0 3.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 XRS:1E_1547.0-5408[gg07],SNR:G327.24-0.1 misc AXP,HE -912 J1551-0658 J1551-0658 15:51:07.2 4.0e-02 -06:58:06.5 6.0e-01 * 0 * 0 * 0 55196.00 1.494 34.765 0.007090 0 * 0 * 0 * 0 55196.00 21.60 0 * 0 0.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 GRS:2FGL_J1549.7-0657[naa+12] FermiAssoc HE -913 J1551-4424 J1551-4424 15:51:48.0 5.0e-02 -44:24:42 1.0e+00 * 0 * 0 * 0 55225.00 333.610 7.454 0.674060 2.0e-10 1.88e-16 8.0e-18 * 0 * 0 55225.00 66.50 4.0e-01 * 0 * 0 1.14 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.23 * htru_pks * -914 J1551-5310 J1551-5310 15:51:41.2 6.0e-02 -53:10:59.6 8.0e-01 * 0 * 0 * 0 52204.00 328.034 0.669 0.453394 1.1e-11 1.95e-13 9.0e-19 * 0 * 0 52204.00 491.60 7.0e-01 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.88 * pksmb,htru_pks * -915 J1552-4937 J1552-4937 15:52:13.2 4.0e-04 -49:37:49.7 1.1e-02 -3.000 3.0e+00 -13.000 8.0e+00 * 0 54033.00 330.342 3.372 0.006284 1.2e-15 1.90e-20 4.0e-23 * 0 * 0 54033.00 114.19 8.0e-02 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb * - -916 J1552+5437 J1552+5437 15:52:53.3 1.7e-04 +54:37:05.7 1.4e-03 * 0 * 0 * 0 56285.00 85.594 47.210 0.002428 6.0e-16 2.80e-21 1.1e-23 * 0 * 0 56285.00 22.90 5.0e-04 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 GRS:3FGL_J1553.1+5437[pbh+17] misc HE[pbh+17] -917 J1552-62 J1552-62 15:52:38 0 -62:14:31 0 * 0 * 0 * 0 55561.00 322.391 -6.427 0.198800 0 * 0 * 0 * 0 55561.00 120.00 0 * 0 * 0 0.34 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.86 * htru_pks * -918 B1550-54 J1553-5456 15:53:59.6 4.0e-01 -54:56:06 7.0e+00 * 0 * 0 * 0 43558.01 327.186 -0.901 1.081328 1.5e-09 1.57e-14 6.0e-17 * 0 * 0 43558.01 210.00 7.0e+00 * 0 13.00 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.79 * mol2,pks70,pksmb,htru_pks * -919 J1554+18 J1554+18 15:54:17 1.2e+02 +18:04 8.0e+00 * 0 * 0 * 0 * 30.685 47.073 * 0 * 0 * 0 * 0 * 24.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * ar327 RRAT[dsm+16] -920 J1554-5209 J1554-5209 15:54:27.1 2.0e-02 -52:09:38.3 4.0e-01 * 0 * 0 * 0 55039.00 329.006 1.194 0.125230 7.0e-13 2.29e-15 5.0e-20 * 0 * 0 55039.00 130.80 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.08 * pksmb,htru_pks RRAT - -921 J1554-5512 J1554-5512 15:54:40.5 4.0e-01 -55:12:33 1.2e+01 * 0 * 0 * 0 51491.00 327.087 -1.175 3.418039 3.0e-09 3.12e-14 1.0e-15 * 0 * 0 51491.00 450.00 1.2e+01 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * pksmb * -922 J1555-0515 J1555-0515 15:55:40.0 1.6e-02 -05:15:57.4 5.0e-01 * 0 * 0 * 0 54985.00 3.973 34.969 0.975410 5.0e-11 2.05e-15 2.0e-18 * 0 * 0 54985.00 23.46 3.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.55 * gb350 * -923 B1552-23 J1555-2341 15:55:33.1 1.7e-02 -23:41:09.9 1.1e+00 * 0 * 0 * 0 49899.00 348.441 22.500 0.532578 1.8e-12 6.94e-16 1.5e-20 -3.030e-26 1.2e-27 * 0 49899.00 51.90 1.5e-02 * 0 7.60 6.0e-01 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * mol2,pks70,pkssw * -924 B1552-31 J1555-3134 15:55:17.9 3.0e-03 -31:34:20.1 1.3e-01 * 0 * 0 * 0 49874.00 342.699 16.757 0.518110 9.0e-13 6.22e-17 9.0e-21 -2.000e-28 5.2e-28 * 0 49874.00 73.05 7.0e-03 * 0 19.00 1.0e+00 1.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * mol2,pks70,pkssw * -925 J1556-5358 J1556-5358 15:56:51.5 3.0e-01 -53:58:55 2.0e+00 * 0 * 0 * 0 51398.00 328.117 -0.436 0.994681 1.4e-10 1.04e-14 8.0e-17 * 0 * 0 51398.00 436.00 3.0e+00 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.02 * pksmb,htru_pks * - -926 J1557-4258 J1557-4258 15:57:00.2 9.0e-04 -42:58:12.6 2.0e-02 * 0 * 0 * 0 48017.00 335.273 7.952 0.329187 2.0e-12 3.30e-16 2.0e-20 * 0 * 0 48017.00 144.50 2.0e-03 * 0 40.00 0 5.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.63 * pks70,pkssw,htru_pks * -927 J1558-5419 J1558-5419 15:58:41.4 1.9e-01 -54:19:26 5.0e+00 * 0 * 0 * 0 51138.00 328.100 -0.870 0.594575 1.5e-10 6.04e-15 6.0e-17 * 0 * 0 51138.00 657.00 3.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.43 * pksmb,htru_pks * -928 J1558-5756 J1558-5756 15:58:30.5 3.0e-02 -57:56:26.1 4.0e-01 * 0 * 0 * 0 53139.00 325.731 -3.604 1.122342 3.0e-11 1.86e-13 4.0e-18 * 0 * 0 53139.00 127.80 1.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.32 * pksmb * -929 J1559-44 J1559-44 15:59 4.0e+00 -44:00 4.0e+01 * 0 * 0 * 0 56657.00 334.872 6.936 1.169890 0 * 0 * 0 * 0 56657.00 122.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.81 * ghrss * -930 B1556-44 J1559-4438 15:59:41.5 8.0e-06 -44:38:45.9 3.5e-05 1.520 1.4e-01 13.150 5.0e-02 0.384 8.1e-02 54100.00 334.540 6.367 0.257056 1.1e-12 1.02e-15 8.0e-20 * 0 * 0 46800.00 56.10 4.0e-01 * 0 110.00 0 40.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.30 * mol1,mol2,pks70,pkssw,htru_pks,ghrs * - -931 B1555-55 J1559-5545 15:59:21.3 1.0e-01 -55:45:40 2.0e+00 * 0 * 0 * 0 43558.03 327.238 -2.024 0.957242 4.0e-10 2.05e-14 1.4e-17 * 0 * 0 43558.03 212.90 3.0e-01 * 0 15.00 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * mol2,pks70,pksmb,htru_pks * -932 J1600-3053 J1600-3053 16:00:51.9 2.8e-06 -30:53:49.3 1.4e-04 * 0 * 0 0.500 8.0e-02 55885.00 344.090 16.451 0.003598 8.0e-18 9.50e-21 7.0e-26 * 0 * 0 55885.00 52.33 2.0e-04 * 0 * 0 2.50 4.0e-01 DD 55878.2619 6.0e-04 14.3485 3.0e-06 8.8017 8.0e-07 181.85 1.3e-02 1.737e-04 9.0e-09 * 0 * 0 * 0 1.80 GRS:2FGL_J1600.7-3053[naa+12],XRS:[pb15] pkssw HE[egc+13] -933 B1557-50 J1600-5044 16:00:53.0 3.0e-03 -50:44:20.9 6.0e-02 * 0 * 0 * 0 46917.00 330.690 1.631 0.192601 7.0e-13 5.06e-15 8.0e-21 * 0 * 0 49215.50 262.79 4.0e-03 * 0 * 0 17.00 1.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.90 * misc,mol1,pks1,pksmb,htru_pks * -934 B1556-57 J1600-5751 16:00:19.9 4.0e-02 -57:51:14.7 6.0e-01 * 0 * 0 * 0 46918.00 325.971 -3.697 0.194454 8.0e-12 2.13e-15 4.0e-19 * 0 * 0 46800.00 176.55 8.0e-02 * 0 20.00 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * mol2,pks1,pks70,pksmb,htru_pks * -935 J1600-5916 J1600-5916 16:00:35.0 4.0e-01 -59:16:59 3.0e+00 * 0 * 0 * 0 53116.00 325.057 -4.798 1.247666 3.0e-10 8.87e-16 7.0e-17 * 0 * 0 53116.00 177.00 4.0e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.66 * pksmb * - -936 J1601-50 J1601-50 16:01:24 3.0e+01 -50:23 7.0e+00 * 0 * 0 * 0 50993.60 330.985 1.846 0.860777 4.0e-06 * 0 * 0 * 0 50993.60 59.00 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * pksmb * -937 J1601-5244 J1601-5244 16:01:27.3 3.0e-01 -52:44:09 3.0e+00 * 0 * 0 * 0 51071.00 329.448 0.065 2.559357 7.0e-09 7.21e-16 1.4e-16 * 0 * 0 51071.00 273.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * pksmb,htru_pks * -938 J1601-5335 J1601-5335 16:01:54.9 6.0e-02 -53:35:43.2 1.1e+00 * 0 * 0 * 0 51156.00 328.935 -0.628 0.288457 1.6e-11 6.24e-14 6.0e-18 * 0 * 0 51156.00 195.20 6.0e-01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.58 * pksmb,htru_pks * -939 J1602-4957 J1602-4957 16:02:18.2 1.0e-01 -49:57:32 4.0e+00 * 0 * 0 * 0 51487.00 331.374 2.070 0.819990 1.4e-10 1.59e-14 3.0e-17 * 0 * 0 51487.00 319.00 4.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * pksmb * -940 B1558-50 J1602-5100 16:02:18.8 2.0e-01 -51:00:02 4.0e+00 * 0 * 0 * 0 47781.46 330.688 1.286 0.864227 5.0e-11 6.96e-14 3.0e-18 * 0 * 0 47781.46 170.79 1.0e-02 * 0 45.00 0 5.70 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * misc,mol2,pks1,pks70,pksmb,htru_pks * - -941 J1603+18 J1603+18 16:03:34 1.2e+02 +18:51 8.0e+00 * 0 * 0 * 0 57022.00 32.849 45.280 0.503000 0 * 0 * 0 * 0 57022.00 29.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 RRAT[dsm+16] -942 J1603-2531 J1603-2531 16:03:04.8 2.7e-03 -25:31:47.3 1.8e-01 * 0 * 0 * 0 50719.00 348.375 19.985 0.283070 1.3e-11 1.59e-15 1.1e-19 1.100e-25 5.0e-26 * 0 50719.00 53.76 4.0e-03 * 0 15.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pks70,pkssw * -943 B1600-27 J1603-2712 16:03:08.0 8.7e-03 -27:13:27.6 5.3e-01 * 0 * 0 * 0 49911.00 347.126 18.767 0.778313 4.0e-12 3.01e-15 3.0e-20 -4.500e-29 8.0e-28 * 0 49911.00 46.20 1.6e-02 * 0 20.00 1.0e+00 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.31 * mol2,pks70,pkssw * -944 J1603-3539 J1603-3539 16:03:53.6 5.0e-03 -35:39:57.1 3.0e-01 * 0 * 0 * 0 51650.00 341.218 12.526 0.141909 9.0e-13 1.24e-16 1.7e-19 * 0 * 0 51650.00 77.50 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 * pkssw,htru_pks * -945 J1603-5657 J1603-5657 16:03:31.4 2.0e-02 -56:57:44.1 8.0e-02 * 0 * 0 * 0 49524.43 326.884 -3.309 0.496077 9.0e-11 2.79e-15 3.0e-18 * 0 * 0 49524.43 264.07 2.0e-02 * 0 8.00 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pks70,pksmb,htru_pks * - -946 J1603-7202 J1603-7202 16:03:35.6 4.0e-05 -72:02:32.7 1.9e-04 -2.460 4.0e-02 -7.330 5.0e-02 1.100 8.0e-01 54500.00 316.630 -14.496 0.014842 7.0e-16 1.56e-20 3.0e-24 * 0 * 0 54500.00 38.05 1.0e-04 * 0 21.00 2.0e+00 3.10 9.0e-01 ELL1 * 0 6.3086 5.0e-10 6.8807 6.0e-07 170.13 0.0e+00 9.338e-06 0.0e+00 50426.2870 1.3e-07 1.600e-06 5.0e-08 -9.200e-06 4.0e-08 0.53 * pks70,pkssw,htru_pks * -947 J1604-31 J1604-31 16:04:24 3.0e+01 -31:39 7.0e+00 * 0 * 0 * 0 57388.00 344.125 15.385 0.883883 5.0e-06 * 0 * 0 * 0 57388.00 63.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pks_superb * -948 J1604-44 J1604-44 16:04:32 4.0e+01 -44:43 7.0e+00 * 0 * 0 * 0 55196.00 335.142 5.744 1.389200 0 * 0 * 0 * 0 55196.00 175.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.82 * * * -949 J1604-4718 J1604-4718 16:04:29.4 4.0e-02 -47:18:47.9 6.0e-01 * 0 * 0 * 0 52897.00 333.399 3.814 0.527466 2.0e-11 4.96e-15 9.0e-18 * 0 * 0 52897.00 52.00 1.6e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.21 * pksmb,htru_pks * -950 B1600-49 J1604-4909 16:04:22.9 1.2e-02 -49:09:58.3 1.4e-01 -30.000 7.0e+00 -1.000 3.0e+00 * 0 43837.00 332.152 2.442 0.327418 1.3e-11 1.02e-15 1.1e-18 * 0 * 0 46800.00 140.80 5.0e-01 * 0 44.00 0 5.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.22 * mol2,pks1,pks70,pksmb,htru_pks * - -951 J1604-7203 J1604-7203 16:04:29.1 5.0e-03 -72:03:30.4 4.0e-02 * 0 * 0 * 0 49529.40 316.670 -14.554 0.341403 4.0e-12 8.40e-17 2.0e-19 * 0 * 0 49529.40 54.37 5.0e-03 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * pks70,htru_pks * -952 J1605+3249 J1605+3249 16:05:18.5 3.0e-02 +32:49:18.0 3.0e-01 -25.000 1.6e+01 142.000 1.5e+01 * 0 52111.00 52.880 47.992 6.880000 0 * 0 * 0 * 0 53735.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J1605.3+3249,OPT:[kkvh11] misc XINS,NRAD -953 J1605-5215 J1605-5215 16:05:19.0 4.0e-01 -52:15:48 5.0e+00 * 0 * 0 * 0 51072.00 330.201 0.031 1.013609 5.0e-10 4.75e-15 1.1e-16 * 0 * 0 51072.00 532.00 4.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.09 * pksmb * -954 B1601-52 J1605-5257 16:05:16.3 2.0e-01 -52:57:34 3.0e+00 * 0 * 0 * 0 43556.87 329.732 -0.484 0.658013 5.0e-10 2.56e-16 1.9e-17 * 0 * 0 43556.87 35.10 3.0e-01 * 0 30.00 0 13.00 1.3e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * misc,mol2,pks1,pks70,pksmb,htru_pks * -955 B1604-00 J1607-0032 16:07:12.1 8.0e-04 -00:32:40.8 3.0e-02 -1.000 1.4e+01 -7.000 9.0e+00 * 0 46973.00 10.715 35.466 0.421816 1.3e-13 3.06e-16 6.0e-22 -2.010e-27 3.0e-29 * 0 46973.00 10.68 1.0e-04 * 0 54.00 8.0e+00 5.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.68 * mol1,mol2,gb3,pks70,gb4 * - -956 J1607-5140 J1607-5140 16:07:49.3 3.0e-01 -51:40:16 4.0e+00 * 0 * 0 * 0 51072.00 330.884 0.213 0.342723 9.0e-11 2.54e-15 4.0e-17 * 0 * 0 51072.00 533.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.12 * pksmb * -957 J1607-6449 J1607-6449 16:07:48.7 8.0e-03 -64:49:43.0 8.0e-02 * 0 * 0 * 0 55192.00 321.953 -9.486 0.298116 9.0e-12 2.49e-17 3.0e-19 * 0 * 0 55192.00 89.39 7.0e-02 * 0 * 0 0.22 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.45 * htru_pks * -958 J1609-1930 J1609-1930 16:09:05.3 1.2e-01 -19:30:08 9.0e+00 * 0 * 0 * 0 53000.00 354.073 23.178 1.557917 7.0e-11 5.09e-16 3.0e-18 * 0 * 0 53000.00 37.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * pkssw * -959 J1609-4616 J1609-4616 16:09:41.1 4.0e-02 -46:16:22.5 4.0e-01 * 0 * 0 * 0 52133.00 334.760 3.986 0.249609 5.0e-12 5.01e-16 4.0e-18 * 0 * 0 52133.00 150.10 6.0e-01 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * pksmb,htru_pks * -960 J1609-5158 J1609-5158 16:09:26.7 5.0e-01 -51:58:18 9.0e+00 * 0 * 0 * 0 51160.00 330.867 -0.179 1.279402 7.0e-10 1.30e-14 1.0e-16 * 0 * 0 51160.00 1069.00 8.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.48 * pksmb * - -961 B1607-13 J1610-1322 16:10:42.7 3.7e-02 -13:22:22 2.5e+00 * 0 * 0 * 0 49691.00 359.427 26.949 1.018393 1.1e-11 2.30e-16 9.0e-20 6.100e-28 1.4e-27 * 0 49691.00 49.13 8.0e-02 * 0 16.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.25 * gb2 * -962 J1610-17 J1610-17 16:10:11 5.7e+01 -17:50 1.5e+01 * 0 * 0 * 0 * 355.611 24.110 * 0 * 0 * 0 * 0 * 52.50 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pkssw RRAT -963 J1610-5006 J1610-5006 16:10:44.3 9.0e-02 -50:06:42.2 1.6e+00 * 0 * 0 * 0 51111.00 332.278 1.050 0.481119 5.0e-11 1.36e-14 1.0e-17 * 0 * 0 51111.00 416.00 3.0e+00 * 0 * 0 1.60 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.67 * pksmb,htru_pks * -964 J1610-5303 J1610-5303 16:10:12.8 9.0e-02 -53:03:49 3.0e+00 * 0 * 0 * 0 51488.00 330.212 -1.061 0.786468 9.0e-11 2.62e-15 1.2e-17 * 0 * 0 51488.00 380.10 8.0e-01 * 0 * 0 0.76 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.35 * pksmb,htru_pks * -965 J1611-01 J1611-01 16:11 2.0e+00 -01:28 3.6e+01 * 0 * 0 * 0 56657.00 10.447 34.161 1.296870 2.0e-05 * 0 * 0 * 0 56657.00 27.21 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.02 * gb350 RRAT - -966 J1611-4811 J1611-4811 16:11:02.7 4.0e-01 -48:11:39 6.0e+00 * 0 * 0 * 0 51686.50 333.621 2.421 1.296850 3.0e-09 1.95e-15 1.4e-16 * 0 * 0 51686.50 221.00 8.0e+00 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb * -967 J1611-4949 J1611-4949 16:11:46.6 1.1e-01 -49:49:57.2 1.4e+00 * 0 * 0 * 0 51071.00 332.590 1.140 0.666438 8.0e-11 5.42e-16 3.0e-17 * 0 * 0 51071.00 556.80 1.8e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.23 * pksmb,htru_pks * -968 B1607-52 J1611-5209 16:11:03.2 3.0e-02 -52:09:23.6 7.0e-01 * 0 * 0 * 0 48360.50 330.923 -0.482 0.182492 4.0e-12 5.17e-15 3.0e-19 * 0 * 0 48360.50 127.34 9.0e-03 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.95 * pks1,pksmb,htru_pks * -969 J1611-5847 J1611-5847 16:11:51.3 6.0e-03 -58:47:42.3 9.0e-02 * 0 * 0 * 0 53071.00 326.465 -5.409 0.354550 1.8e-12 2.01e-18 4.0e-19 * 0 * 0 53071.00 79.90 1.3e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * pksmb,htru_pks * -970 J1612+2008 J1612+2008 16:12:23.4 3.0e-03 +20:08:18.3 4.0e-02 * 0 * 0 * 0 54985.00 35.518 43.743 0.426646 1.2e-12 3.73e-17 1.5e-19 * 0 * 0 54985.00 19.51 3.2e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.74 * gb350 * - -971 J1612-2408 J1612-2408 16:12:26.0 3.0e-02 -24:08:04 2.0e+00 * 0 * 0 * 0 53000.00 351.011 19.446 0.923834 3.0e-11 1.57e-15 1.2e-18 * 0 * 0 53000.00 49.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * pkssw * -972 J1612-49 J1612-49 16:12:54 3.0e+01 -49:27 7.0e+00 * 0 * 0 * 0 56657.00 332.985 1.295 0.192687 1.4e-10 * 0 * 0 * 0 56657.00 439.00 5.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * htru_pks * -973 J1612-5136 J1612-5136 16:12:00.6 3.0e-01 -51:36:54 6.0e+00 * 0 * 0 * 0 51348.00 331.400 -0.187 0.483311 1.2e-10 3.78e-15 1.2e-17 * 0 * 0 51348.00 1173.00 1.2e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.69 * pksmb * -974 J1612-55 J1612-55 16:12:06 3.0e+01 -55:09 7.0e+00 * 0 * 0 * 0 56657.00 328.992 -2.776 0.846907 3.0e-06 * 0 * 0 * 0 56657.00 312.00 8.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.93 * htru_pks * -975 J1612-5805 J1612-5805 16:12:27.8 7.0e-03 -58:05:29.2 1.0e-01 * 0 * 0 * 0 54893.00 327.008 -4.952 0.615520 3.0e-11 9.35e-16 9.0e-19 * 0 * 0 54893.00 171.30 4.0e-01 * 0 * 0 0.31 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * htru_pks * - -976 B1609-47 J1613-4714 16:13:29.0 3.0e-02 -47:14:25.8 8.0e-01 * 0 * 0 * 0 43556.88 334.573 2.835 0.382376 5.0e-11 6.32e-16 2.0e-18 * 0 * 0 43556.88 161.20 3.0e-01 * 0 17.00 0 1.50 1.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.52 * mol2,pks70,pksmb,htru_pks * -977 J1613-5211 J1613-5211 16:13:42.4 1.2e-01 -52:11:21.0 1.8e+00 * 0 * 0 * 0 51072.00 331.197 -0.784 0.457502 7.0e-11 1.92e-14 1.7e-17 * 0 * 0 51072.00 360.10 2.0e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.71 * pksmb,htru_pks * -978 J1613-5234 J1613-5234 16:13:57.4 1.9e-01 -52:34:17 3.0e+00 * 0 * 0 * 0 51111.00 330.962 -1.088 0.655221 1.8e-10 6.63e-15 1.8e-17 * 0 * 0 51111.00 624.00 4.0e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.43 * pksmb,htru_pks * -979 B1612+07 J1614+0737 16:14:40.9 9.0e-03 +07:37:31.0 2.5e-01 * 0 * 0 * 0 49897.00 20.633 38.163 1.206801 5.0e-12 2.36e-15 3.0e-20 -6.900e-28 4.3e-28 * 0 49897.00 21.39 3.0e-04 * 0 9.60 8.0e-01 0.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * mol2,gb2,ar4,gb4 * -980 J1614-2230 J1614-2230 16:14:36.5 1.8e-05 -22:30:31.2 1.4e-03 * 0 * 0 1.500 1.0e-01 56047.00 352.636 20.192 0.003151 4.0e-18 9.62e-21 1.0e-25 * 0 * 0 56047.00 34.92 3.0e-04 * 0 * 0 0.70 0 ELL1 * 0 8.6866 7.0e-11 11.2912 7.0e-08 175.97 0.0e+00 1.336e-06 0.0e+00 56049.0432 7.0e-09 9.400e-08 8.0e-09 -1.333e-06 6.0e-09 0.70 GRS:2FGL_J1614.5-2230[naa+12],OPT:[bk11] misc HE[aaa+09f] - -981 J1614-23 J1614-23 16:14 0 -23:15 0 * 0 * 0 * 0 53370.00 351.956 19.791 0.033500 0 * 0 * 0 * 0 53370.00 52.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * misc * -982 J1614-38 J1614-38 16:14:43 0 -38:46:15 0 * 0 * 0 * 0 55561.00 340.633 8.791 0.464100 0 * 0 * 0 * 0 55561.00 110.00 0 * 0 * 0 0.18 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.53 * htru_pks * -983 J1614-3937 J1614-3937 16:14:31.2 7.0e-03 -39:37:28.8 2.0e-01 * 0 * 0 * 0 49016.00 340.004 8.206 0.407292 6.0e-12 1.59e-16 1.0e-19 * 0 * 0 49016.00 152.44 2.0e-02 * 0 12.00 0 0.42 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.66 * pks70,pkssw,htru_pks * -984 B1610-50 J1614-5048 16:14:11.2 3.0e-02 -50:48:03.5 5.0e-01 * 0 * 0 * 0 50496.00 332.206 0.172 0.231694 8.0e-11 4.95e-13 1.7e-17 -1.600e-21 3.0e-22 * 0 50853.00 582.40 1.0e-01 * 0 * 0 2.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pks1,pksmb,htru_pks * -985 J1614-5144 J1614-5144 16:14:45.7 5.0e-01 -51:44:49 9.0e+00 * 0 * 0 * 0 51111.00 331.619 -0.576 1.534008 5.0e-10 7.44e-15 5.0e-17 * 0 * 0 51111.00 748.00 1.3e+01 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb * - -986 J1614-5402 J1614-5402 16:14:50.3 6.0e-02 -54:02:47 2.0e+00 * 0 * 0 * 0 51482.00 330.040 -2.247 0.572592 6.0e-11 2.90e-17 8.0e-18 * 0 * 0 51482.00 300.00 4.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * pksmb,htru_pks * -987 B1612-29 J1615-2940 16:15:52.8 8.2e-02 -29:40:16 5.0e+00 * 0 * 0 * 0 48390.00 347.387 15.056 2.477568 5.0e-11 1.58e-15 1.9e-19 -2.200e-29 6.0e-28 * 0 48390.00 44.79 1.4e-01 * 0 3.10 5.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * mol2,htru_pks * -988 J1615-5444 J1615-5444 16:15:01.1 8.0e-03 -54:44:32.4 2.0e-01 * 0 * 0 * 0 51482.00 329.578 -2.768 0.360958 4.0e-12 3.38e-16 7.0e-19 * 0 * 0 51482.00 312.60 5.0e-01 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.89 * pksmb,htru_pks * -989 B1611-55 J1615-5537 16:15:40.4 3.0e-02 -55:37:00.5 3.0e-01 * 0 * 0 * 0 48414.50 329.039 -3.464 0.791526 2.0e-11 2.00e-15 8.0e-19 * 0 * 0 48414.50 124.48 8.0e-02 * 0 12.00 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.19 * pks1,pks70,pksmb,htru_pks * -990 J1616-5017 J1616-5017 16:16:29.8 4.0e-02 -50:17:14.9 2.0e-01 * 0 * 0 * 0 56701.00 332.827 0.289 0.491384 1.3e-11 4.66e-14 3.0e-22 * 0 * 0 56701.00 194.00 4.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.48 * htru_pks * - -991 J1616-5109 J1616-5109 16:16:30.9 5.0e-01 -51:09:17 9.0e+00 * 0 * 0 * 0 51161.00 332.226 -0.337 1.219594 8.0e-10 1.91e-14 9.0e-17 * 0 * 0 51161.00 1160.00 1.5e+01 * 0 * 0 1.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * pksmb,htru_pks * -992 J1616-5208 J1616-5208 16:16:23.4 4.0e-01 -52:08:48 4.0e+00 * 0 * 0 * 0 51072.00 331.524 -1.038 1.025831 4.0e-10 2.89e-14 1.0e-16 * 0 * 0 51072.00 488.00 3.0e+00 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.01 * pksmb * -993 J1617-4216 J1617-4216 16:17:23.3 5.0e-02 -42:16:59 1.0e+00 * 0 * 0 * 0 51500.00 338.524 5.924 3.428466 1.3e-10 1.81e-14 1.5e-17 * 0 * 0 51500.00 163.60 5.0e-01 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.28 * pkssw,pksmb * -994 J1617-4608 J1617-4608 16:17:35.1 1.3e-02 -46:08:36.5 3.0e-01 * 0 * 0 * 0 53129.00 335.842 3.139 0.567080 1.0e-11 1.65e-14 1.0e-18 * 0 * 0 53129.00 321.50 1.2e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.08 * pksmb,htru_pks * -995 J1617-5055 J1617-5055 16:17:29.3 1.0e-01 -50:55:13.2 2.0e-01 * 0 * 0 * 0 50829.70 332.499 -0.275 0.069357 3.0e-09 1.35e-13 2.0e-16 * 0 * 0 50829.70 467.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 GRS:J1616-508[aab+06] misc HE[tkt+98] - -996 J1618-39 J1618-39 16:18:30 5.0e+01 -39:19 1.0e+01 * 0 * 0 * 0 51544.00 340.775 7.887 0.011987 5.0e-09 * 0 * 0 * 0 51544.00 117.50 4.0e-01 * 0 * 0 * 0 ELL1 * 0 22.8000 2.0e-01 10.2400 1.7e-01 * 0 * 0 51577.3700 8.0e-02 * 0 * 0 5.47 * pkssw * -997 J1618-4723 J1618-4723 16:18:06.8 1.0e-02 -47:23:19.1 3.0e-01 * 0 * 0 * 0 51097.00 335.037 2.184 0.203553 5.0e-11 1.99e-15 8.0e-19 * 0 * 0 51097.00 134.70 3.0e-01 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.09 * pksmb,htru_pks * -998 J1619-42 J1619-42 16:19:06 3.0e+01 -42:02 7.0e+00 * 0 * 0 * 0 51975.60 338.927 5.880 1.023152 4.0e-06 * 0 * 0 * 0 51975.60 172.00 0 * 0 * 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.15 * pksmb * -999 J1620-4927 J1620-4927 16:20:41.5 1.0e-02 -49:27:37.1 3.0e-01 * 0 * 0 * 0 55225.00 333.888 0.408 0.171935 1.5e-12 1.05e-14 1.2e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1620.8-4928[naa+12] FermiBlind NRAD -1000 J1620-5414 J1620-5414 16:20:14.4 1.0e-01 -54:14:51.7 1.6e+00 * 0 * 0 * 0 51830.00 330.467 -2.943 1.156360 9.0e-11 6.74e-17 3.0e-18 * 0 * 0 51830.00 71.00 8.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * pksmb * - -1001 J1621-5039 J1621-5039 16:21:04.7 1.6e-01 -50:39:48.6 1.8e+00 * 0 * 0 * 0 51072.00 333.084 -0.490 1.084020 1.6e-10 1.30e-14 5.0e-17 * 0 * 0 51072.00 261.00 3.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * -1002 J1621-5243 J1621-5243 16:21:55.8 1.0e-01 -52:43:44 3.0e+00 * 0 * 0 * 0 51151.00 331.718 -2.045 0.371924 6.0e-11 7.68e-16 1.6e-17 * 0 * 0 51151.00 363.00 4.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.43 * pksmb,htru_pks * -1003 J1622-3751 J1622-3751 16:22:04.5 4.0e-02 -37:51:13.9 9.0e-01 * 0 * 0 * 0 55070.00 342.322 8.419 0.731463 5.0e-10 2.57e-15 1.0e-17 * 0 * 0 55070.00 153.80 5.0e-01 * 0 * 0 0.20 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.60 * htru_pks * -1004 J1622-4332 J1622-4332 16:22:45.4 8.0e-03 -43:32:28.2 3.0e-01 * 0 * 0 * 0 49100.00 338.332 4.339 0.916938 2.0e-11 1.56e-15 4.0e-19 * 0 * 0 49100.00 230.68 2.0e-02 * 0 16.00 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.77 * pks70,pksmb,htru_pks * -1005 J1622-4347 J1622-4347 16:22:30.0 1.8e-02 -43:47:21.4 3.0e-01 * 0 * 0 * 0 52897.00 338.122 4.198 0.457681 9.0e-12 5.05e-15 4.0e-18 * 0 * 0 52897.00 177.00 3.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb,htru_pks * - -1006 J1622-4802 J1622-4802 16:22:47.1 1.4e-01 -48:02:13.1 1.4e+00 * 0 * 0 * 0 51033.00 335.139 1.170 0.265072 3.0e-11 3.07e-16 1.5e-17 * 0 * 0 51033.00 364.30 1.3e+00 * 0 * 0 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.32 * pksmb,htru_pks * -1007 J1622-4845 J1622-4845 16:22:05.4 1.0e-01 -48:46:29 4.0e+00 * 0 * 0 * 0 56715.00 334.534 0.732 0.735092 8.0e-11 1.10e-16 2.0e-19 * 0 * 0 56715.00 292.00 7.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * htru_pks * -1008 J1622-4944 J1622-4944 16:22:37.5 3.0e-01 -49:44:30 3.0e+00 * 0 * 0 * 0 51072.00 333.911 -0.013 1.072968 3.0e-10 1.71e-14 7.0e-17 * 0 * 0 51072.00 755.00 4.0e+00 * 0 * 0 0.52 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.41 * pksmb,htru_pks * -1009 J1622-4950 J1622-4950 16:22:44.8 3.0e-02 -49:50:54.4 5.0e-01 * 0 * 0 * 0 56563.00 333.849 -0.102 4.327020 1.5e-08 2.78e-12 1.4e-15 1.090e-21 3.0e-23 * 0 56563.00 820.00 3.0e+01 * 0 * 0 4.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 XRS:CXOU_J162244.8-495054,SNR:G333.9+0.0 htru_pks AXP,HE -1010 J1622-6617 J1622-6617 16:22:03.6 4.0e-04 -66:17:16.9 6.0e-03 -3.000 2.0e+00 6.000 4.0e+00 * 0 55253.10 321.978 -11.560 0.023623 1.2e-14 5.88e-20 3.0e-22 * 0 * 0 55253.10 88.02 9.0e-03 * 0 * 0 0.60 0 ELL1 * 0 1.6406 8.0e-09 0.9794 5.0e-06 344.05 0.0e+00 1.456e-05 0.0e+00 55253.0873 2.0e-06 -4.000e-06 1.2e-06 1.400e-05 1.1e-06 4.05 * htru_pks * - -1011 J1623-0841 J1623-0841 16:23:42.6 9.7e-03 -08:41:36.6 5.0e-01 * 0 * 0 * 0 55079.00 5.774 27.367 0.503015 1.0e-11 1.96e-15 7.0e-19 * 0 * 0 55079.00 59.79 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.65 * gb350 RRAT -1012 B1620-09 J1623-0908 16:23:17.6 4.3e-03 -09:08:49.2 2.5e-01 * 0 * 0 * 0 48715.00 5.297 27.178 1.276446 1.7e-12 2.58e-15 1.0e-20 4.000e-28 8.0e-29 * 0 48715.00 68.18 1.0e-02 * 0 6.00 4.0e-01 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * mol2,pks70,pkssw * -1013 B1620-26 J1623-2631 16:23:38.2 2.0e-04 -26:31:53.7 2.0e-03 -13.400 1.0e+00 -25.000 5.0e+00 * 0 48725.00 350.976 15.960 0.011076 1.8e-15 6.71e-19 4.0e-23 1.928e-23 1.4e-26 6.390e-33 2.5e-34 48725.00 62.86 5.0e-04 -0.001 2.0e-04 15.00 0 1.60 3.0e-01 BT 48728.2624 1.2e-04 191.4428 2.0e-05 64.8095 4.0e-06 117.13 2.0e-04 2.532e-02 1.2e-07 * 0 * 0 * 0 1.80 GC:M4,XRS:[pkgw07] misc,pks70,jb1,pkssw * -1014 B1620-42 J1623-4256 16:23:48.3 2.0e-02 -42:56:52 6.0e+00 * 0 * 0 * 0 43556.89 338.890 4.620 0.364590 4.0e-10 1.02e-15 1.4e-17 * 0 * 0 43556.89 295.00 5.0e+00 * 0 24.00 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.56 * mol2,pkssw,pksmb,htru_pks * -1015 J1623-4949 J1623-4949 16:23:54.8 1.5e-01 -49:49:04 3.0e+00 * 0 * 0 * 0 51073.00 334.003 -0.214 0.725732 9.0e-11 4.21e-14 4.0e-17 * 0 * 0 51073.00 183.30 1.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.36 * pksmb,htru_pks * - -1016 J1623-5005 J1623-5005 16:23:04.1 1.0e-02 -50:05:15.1 2.0e-01 * 0 * 0 * 0 55716.00 333.716 -0.307 0.085072 8.0e-13 4.16e-15 3.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1622.9-5004[aaa+15] FermiBlind NRAD -1017 J1624-4041 J1624-4041 16:24:09.9 9.0e-03 -40:41:29.7 3.0e-01 * 0 * 0 * 0 55716.00 340.558 6.149 0.167861 9.0e-13 4.72e-15 3.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1624.2-4041[aaa+15] FermiBlind NRAD -1018 J1624-4411 J1624-4411 16:24:21.3 1.8e-02 -44:11:33.8 5.0e-01 * 0 * 0 * 0 53058.00 338.069 3.677 0.233164 4.0e-12 7.99e-16 8.0e-19 * 0 * 0 53058.00 139.40 1.4e+00 * 0 * 0 0.48 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.34 * pksmb,htru_pks * -1019 J1624-4613 J1624-4613 16:24:18.7 3.0e-01 -46:13:02 9.0e+00 * 0 * 0 * 0 53500.00 336.616 2.265 0.871243 4.0e-10 6.07e-17 6.1e-17 * 0 * 0 53500.00 224.20 1.9e+00 * 0 * 0 0.39 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.78 * pksmb,htru_pks * -1020 J1624-4721 J1624-4721 16:24:54.8 8.0e-02 -47:21:27 2.0e+00 * 0 * 0 * 0 51683.00 335.874 1.393 0.448723 7.0e-11 4.15e-15 9.0e-18 * 0 * 0 51683.00 364.00 5.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.63 * pksmb * - -1021 J1625-4048 J1625-4048 16:25:10.3 2.0e-02 -40:48:21.5 7.0e-01 * 0 * 0 * 0 49012.00 340.609 5.932 2.355278 2.0e-10 4.43e-16 3.0e-18 * 0 * 0 49012.00 145.00 6.0e+00 * 0 17.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.61 * pks70,pkssw,htru_pks * -1022 J1625-4904 J1625-4904 16:25:18.0 1.3e-01 -49:04:33.6 1.9e+00 * 0 * 0 * 0 51073.00 334.690 0.145 0.460339 7.0e-11 1.68e-14 2.0e-17 * 0 * 0 51073.00 684.80 1.7e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.25 * pksmb,htru_pks * -1023 J1625-4913 J1625-4913 16:25:16.4 2.0e-02 -49:13:44.6 4.0e-01 * 0 * 0 * 0 54895.00 334.578 0.041 0.355856 5.0e-11 6.65e-15 1.0e-18 * 0 * 0 54895.00 720.00 1.0e+00 * 0 * 0 0.22 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * htru_pks * -1024 J1626-44 J1626-44 16:27:00 3.0e+01 -44:22 7.0e+00 * 0 * 0 * 0 51718.60 338.274 3.216 0.308354 5.0e-07 * 0 * 0 * 0 51718.60 269.20 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.31 * pksmb * -1025 J1626-4537 J1626-4537 16:26:48.9 1.0e-02 -45:37:25.6 5.0e-01 * 0 * 0 * 0 51683.00 337.346 2.367 0.370141 9.0e-12 8.28e-15 1.1e-18 * 0 * 0 51683.00 237.00 7.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * pksmb,htru_pks * - -1026 J1626-4807 J1626-4807 16:26:42.5 3.0e-01 -48:07:54 4.0e+00 * 0 * 0 * 0 51207.00 335.530 0.636 0.293928 7.0e-11 1.75e-14 1.2e-17 * 0 * 0 51207.00 817.00 6.0e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.51 * pksmb,htru_pks * -1027 J1626-6621 J1626-6621 16:26:06.8 9.0e-03 -66:21:15.2 8.0e-02 * 0 * 0 * 0 55195.00 322.214 -11.901 0.450868 1.0e-11 7.66e-16 5.0e-19 * 0 * 0 55195.00 84.11 5.0e-02 * 0 * 0 0.19 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * htru_pks * -1028 J1627+1419 J1627+1419 16:27:18.7 6.0e-03 +14:19:20.7 1.0e-01 * 0 * 0 * 0 48957.50 30.030 38.319 0.490857 2.0e-12 3.93e-16 3.0e-18 * 0 * 0 48957.50 32.17 8.4e-04 * 0 6.10 3.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * ar4 * -1029 J1627-4706 J1627-4706 16:27:28.7 4.0e-02 -47:06:50.2 7.0e-01 * 0 * 0 * 0 53165.00 336.352 1.250 0.140746 6.0e-12 1.73e-15 6.0e-19 * 0 * 0 53165.00 456.10 1.8e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.41 * pksmb * -1030 J1627-4845 J1627-4845 16:27:10.3 1.2e-01 -48:45:08 3.0e+00 * 0 * 0 * 0 49200.00 335.137 0.150 0.612331 9.0e-12 3.64e-15 1.0e-17 * 0 * 0 49200.00 557.80 7.0e-01 * 0 * 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * misc,pksmb,htru_pks * - -1031 J1627-49 J1627-49 16:27:42 3.0e+01 -49:54 7.0e+00 * 0 * 0 * 0 56657.00 334.370 -0.709 0.623678 3.0e-06 * 0 * 0 * 0 56657.00 594.00 1.6e+01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * htru_pks * -1032 J1627-51 J1627-51 16:27:30 3.0e+01 -51:08 7.0e+00 * 0 * 0 * 0 56657.00 333.459 -1.541 0.439684 5.0e-07 * 0 * 0 * 0 56657.00 201.00 4.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * htru_pks * -1033 J1627-5547 J1627-5547 16:27:21.0 2.0e-02 -55:47:52.4 4.0e-01 * 0 * 0 * 0 51561.00 330.074 -4.756 0.352464 7.0e-11 7.38e-16 2.0e-18 * 0 * 0 51561.00 166.20 9.0e-01 * 0 * 0 0.65 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * pksmb,htru_pks * -1034 J1627-5936 J1627-5936 16:27:52.5 4.0e-02 -59:36:55.3 2.0e-01 * 0 * 0 * 0 55188.00 327.341 -7.438 0.354234 6.0e-11 8.00e-18 3.0e-18 * 0 * 0 55188.00 99.30 2.0e-01 * 0 * 0 1.62 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.39 * htru_pks * -1035 J1627+86 J1627+86 16:27 5.0e+00 +86:54 4.0e+00 * 0 * 0 * 0 56292.00 120.071 28.926 0.395785 8.7e-06 * 0 * 0 * 0 56292.00 46.00 1.0e+00 * 0 5.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.62 * gbncc * - -1036 J1628-3205 J1628-3205 16:28:07.0 0 -32:05:48.9 0 * 0 * 0 * 0 55561.00 347.428 11.482 0.003210 0 * 0 * 0 * 0 55561.00 42.10 0 * 0 * 0 * 0 BT * 0 0.2100 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 GRS:2FGL_J1628.3-3206[naa+12],OPT:[lht14 FermiAssoc * -1037 J1628-4804 J1628-4804 16:28:26.8 1.4e-01 -48:04:59 3.0e+00 * 0 * 0 * 0 51073.00 335.766 0.461 0.865971 1.2e-10 1.24e-15 4.0e-17 * 0 * 0 51073.00 952.00 3.0e+00 * 0 * 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.88 * pksmb,htru_pks * -1038 J1628-4828 J1628-4828 16:28:30.9 4.0e-01 -48:28:42 9.0e+00 * 0 * 0 * 0 51393.00 335.488 0.180 4.137539 1.6e-09 1.75e-14 1.8e-16 * 0 * 0 51393.00 1209.00 1.5e+01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pksmb * -1039 J1629-3636 J1629-3636 16:29:35.8 9.0e-02 -36:36:13 2.0e+00 * 0 * 0 * 0 55000.00 344.280 8.198 2.988193 9.0e-09 7.00e-15 1.0e-16 * 0 * 0 55000.00 101.00 1.0e+00 * 0 * 0 0.20 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.23 * htru_pks * -1040 J1629+43 J1629+43 16:29 2.0e+00 +43:59 1.8e+01 * 0 * 0 * 0 56292.00 69.059 43.593 0.181173 1.6e-06 * 0 * 0 * 0 56292.00 7.30 8.0e-01 * 0 3.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * gbncc * - -1041 J1629-6902 J1629-6902 16:29:08.7 4.0e-04 -69:02:45.2 3.0e-03 * 0 * 0 * 0 51600.00 320.371 -13.926 0.006001 1.9e-15 1.00e-20 3.0e-22 * 0 * 0 51600.00 29.49 3.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.96 * pkssw,htru_pks * -1042 J1630+37 J1630+37 16:30 0 +37 0 * 0 * 0 * 0 55561.00 59.441 43.294 0.003320 0 * 0 * 0 * 0 55561.00 14.10 0 * 0 * 0 * 0 BT * 0 12.5000 0 * 0 * 0 * 0 * 0 * 0 * 0 1.18 GRS:2FGL_J1630.3+3732 FermiAssoc * -1043 J1630-4719 J1630-4719 16:30:02.4 5.0e-02 -47:19:42 2.0e+00 * 0 * 0 * 0 51340.00 336.497 0.787 0.559071 4.0e-11 1.42e-14 1.9e-17 * 0 * 0 51340.00 489.60 1.6e+00 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pksmb,htru_pks * -1044 B1626-47 J1630-4733 16:30:37.4 4.0e-02 -47:33:05.0 8.0e-01 * 0 * 0 * 0 48414.00 336.403 0.562 0.575971 2.0e-11 2.23e-14 2.0e-18 * 0 * 0 48414.00 498.00 5.0e+00 * 0 * 0 4.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pks1,pksmb,htru_pks * -1045 J1631-1612 J1631-1612 16:31:52.4 3.0e-02 -16:12:52.0 3.0e+00 * 0 * 0 * 0 55766.00 0.577 21.193 0.677684 4.0e-11 1.10e-15 4.0e-18 * 0 * 0 55766.00 33.77 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.84 * gb350 * - -1046 J1631-4155 J1631-4155 16:31:18.3 7.0e-02 -41:55:03.7 2.0e+00 * 0 * 0 * 0 53082.00 340.596 4.332 0.551241 4.0e-11 8.81e-18 7.3e-18 * 0 * 0 53082.00 235.00 4.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.79 * pksmb * -1047 J1632-1013 J1632-1013 16:32:54.2 2.0e-02 -10:13:18 1.0e+00 * 0 * 0 * 0 52820.00 5.910 24.636 0.717637 2.0e-11 6.60e-17 1.0e-18 * 0 * 0 52820.00 89.90 2.0e-01 * 0 * 0 0.15 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.42 * misc * -1048 J1632-4509 J1632-4509 16:32:14.0 1.7e-01 -45:09:09 9.0e+00 * 0 * 0 * 0 51973.00 338.343 2.002 1.046810 4.0e-10 1.49e-14 9.0e-17 * 0 * 0 51973.00 412.00 4.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.48 * pksmb,htru_pks * -1049 J1632-4621 J1632-4621 16:32:49.8 1.6e-02 -46:21:48.6 9.0e-01 * 0 * 0 * 0 51291.00 337.527 1.100 1.709154 4.0e-11 7.60e-14 3.0e-17 * 0 * 0 51291.00 562.90 8.0e-01 * 0 * 0 0.99 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.10 * pksmb,htru_pks * -1050 J1632-4757 J1632-4757 16:32:16.7 6.0e-02 -47:57:34.3 1.4e+00 * 0 * 0 * 0 51909.00 336.296 0.080 0.228564 1.0e-11 1.51e-14 1.0e-18 * 0 * 0 51909.00 574.20 5.0e-01 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.84 * pksmb,htru_pks * - -1051 J1632-4818 J1632-4818 16:32:39.7 7.0e-02 -48:18:52.6 1.4e+00 * 0 * 0 * 0 51522.00 336.080 -0.209 0.813453 7.0e-11 6.50e-13 3.0e-18 1.090e-23 3.0e-25 * 0 51522.00 758.00 5.0e+00 * 0 * 0 0.39 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.31 SNR:G336.1-0.2(?)[mbc+02] pksmb * -1052 J1633-2009 J1633-2009 16:33:55.3 6.0e-02 -20:10:09 5.0e+00 * 0 * 0 * 0 54993.00 357.631 18.331 0.935557 6.0e-11 1.07e-15 3.0e-18 * 0 * 0 54993.00 48.19 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.35 * gb350 * -1053 B1630-44 J1633-4453 16:33:47.0 6.0e-03 -44:53:07.8 2.0e-01 * 0 * 0 * 0 48360.60 338.725 1.982 0.436507 4.0e-12 6.20e-15 2.0e-19 * 0 * 0 48360.60 474.10 3.0e-01 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.92 * pks1,pksmb,htru_pks * -1054 J1633-4805 J1633-4805 16:33:05.4 1.0e-01 -48:05:36 4.0e+00 * 0 * 0 * 0 51588.00 336.290 -0.110 0.710830 1.6e-10 7.69e-14 1.6e-17 * 0 * 0 51588.00 1120.00 9.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.17 * pksmb * -1055 B1629-50 J1633-5015 16:33:00.1 6.0e-03 -50:15:08.1 2.0e-01 * 0 * 0 * 0 48360.60 334.699 -1.569 0.352142 3.0e-12 3.79e-15 2.0e-19 * 0 * 0 48360.60 398.41 8.0e-02 * 0 * 0 5.70 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.01 * pks1,pksmb,htru_pks * - -1056 J1634-49 J1634-49 16:34:30 3.0e+01 -49:52 7.0e+00 * 0 * 0 * 0 56657.00 335.145 -1.484 0.684936 2.0e-11 * 0 * 0 * 0 56657.00 649.00 1.2e+01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.68 * htru_pks * -1057 J1634-5107 J1634-5107 16:34:04.9 8.0e-02 -51:07:45.6 9.0e-01 * 0 * 0 * 0 54420.00 334.171 -2.290 0.507356 1.3e-11 1.57e-15 1.3e-19 -1.800e-24 7.0e-25 * 0 54420.00 372.80 2.0e+00 * 0 * 0 0.05 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * pksmb * -1058 J1634-5640 J1634-5640 16:34:19.1 2.0e-02 -56:40:48.7 3.0e-01 * 0 * 0 * 0 55010.00 330.090 -6.066 0.224201 8.0e-11 4.10e-17 2.0e-18 * 0 * 0 55010.00 148.00 1.0e-01 * 0 * 0 0.24 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.47 * htru_pks * -1059 J1635-1511 J1635-1511 16:35:47.3 4.0e-02 -15:11:52 3.0e+00 * 0 * 0 * 0 53000.00 2.058 21.078 1.179387 8.0e-11 2.32e-16 4.0e-18 * 0 * 0 53000.00 54.00 8.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.44 * pkssw * -1060 B1633+24 J1635+2418 16:35:25.7 1.5e-02 +24:18:47.3 2.5e-01 * 0 * 0 * 0 48736.00 42.993 39.889 0.490507 1.7e-12 1.19e-16 1.0e-20 8.700e-28 4.7e-28 * 0 48736.00 24.27 4.4e-03 * 0 9.10 8.0e-01 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * misc * - -1061 J1635-26 J1635-26 16:35:52 0 -26:16:17 0 * 0 * 0 * 0 55561.00 353.051 14.076 0.510500 0 * 0 * 0 * 0 55561.00 100.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.54 * htru_pks * -1062 J1635-4513 J1635-4513 16:35:55.4 3.0e-01 -45:13:27 1.7e+01 * 0 * 0 * 0 51306.00 338.731 1.475 1.594746 8.0e-10 3.60e-15 3.0e-16 * 0 * 0 51306.00 416.00 5.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * pksmb,htru_pks * -1063 J1635-4735 J1635-4735 16:35:51.8 2.0e-02 -47:35:23.3 2.0e-01 * 0 * 0 * 0 54734.00 336.976 -0.111 2.594578 6.0e-06 * 0 * 0 * 0 54734.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_1627-41,SNR:G337.0-0.1(?)[wkv+99 misc AXP,NRAD -1064 J1635-4944 J1635-4944 16:35:55.4 1.0e-01 -49:44:36 2.0e+00 * 0 * 0 * 0 51447.00 335.391 -1.570 0.671964 9.0e-11 8.79e-15 3.0e-17 * 0 * 0 51447.00 474.00 6.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * pksmb,htru_pks * -1065 B1630-59 J1635-5954 16:35:09.0 7.0e-02 -59:54:41 1.0e+00 * 0 * 0 * 0 43564.05 327.747 -8.313 0.529121 1.1e-10 1.37e-15 5.0e-18 * 0 * 0 43564.05 134.90 1.3e+00 * 0 7.00 0 1.56 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * mol2,pks70,pkssw,htru_pks * - -1066 J1636-4440 J1636-4440 16:36:16.5 2.0e-02 -44:40:25 1.0e+00 * 0 * 0 * 0 54411.50 339.180 1.799 0.206649 3.0e-11 4.67e-14 4.0e-18 * 0 * 0 54411.50 449.00 1.0e+00 * 0 * 0 0.38 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.46 * pksmb,htru_pks * -1067 J1636-4803 J1636-4803 16:36:32.0 2.0e-01 -48:03:55 9.0e+00 * 0 * 0 * 0 51299.00 336.700 -0.515 1.204644 3.0e-10 2.07e-14 1.5e-16 * 0 * 0 51299.00 503.00 7.0e+00 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.76 * pksmb,htru_pks * -1068 J1636-4933 J1636-4933 16:36:55.1 5.0e-02 -49:33:10 3.0e+00 * 0 * 0 * 0 51305.00 335.641 -1.561 0.430367 4.0e-11 1.51e-15 1.3e-17 * 0 * 0 51305.00 542.70 1.5e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.22 * pksmb,htru_pks * -1069 J1637-4335 J1637-4335 16:37:56.8 1.0e-01 -43:35:42 5.0e+00 * 0 * 0 * 0 51707.00 340.182 2.300 0.771367 1.8e-10 3.62e-15 3.0e-17 * 0 * 0 51707.00 608.00 8.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb * -1070 J1637-4450 J1637-4450 16:37:53.1 3.0e-02 -44:50:26.3 8.0e-01 * 0 * 0 * 0 53283.00 339.248 1.475 0.252870 2.0e-11 5.75e-16 2.0e-18 * 0 * 0 53283.00 470.70 8.0e-01 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.45 * pksmb,htru_pks * - -1071 B1634-45 J1637-4553 16:37:58.7 7.0e-03 -45:53:27.3 3.0e-01 * 0 * 0 * 0 48360.60 338.478 0.761 0.118771 5.0e-13 3.19e-15 5.0e-20 * 0 * 0 48360.60 193.23 7.0e-02 * 0 15.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pks1,pksmb,htru_pks * -1072 J1637-46 J1637-46 16:37:36 3.0e+01 -46:13 7.0e+00 * 0 * 0 * 0 50842.90 338.192 0.592 0.493091 2.0e-06 * 0 * 0 * 0 50842.90 660.40 0 * 0 * 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.74 * pksmb * -1073 J1637-4642 J1637-4642 16:37:13.7 8.0e-02 -46:42:15 1.0e+00 * 0 * 0 * 0 51571.00 337.788 0.312 0.154027 1.0e-11 5.92e-14 8.0e-18 * 0 * 0 51571.00 419.10 3.0e-01 * 0 * 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * pksmb,htru_pks * -1074 J1637-4721 J1637-4721 16:37:11.4 1.0e-01 -47:21:03 8.0e+00 * 0 * 0 * 0 51296.00 337.304 -0.117 1.165741 2.0e-10 4.44e-15 1.3e-16 * 0 * 0 51296.00 448.00 7.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.42 * pksmb * -1075 J1637-4816 J1637-4816 16:37:58.6 4.0e-02 -48:16:12 2.0e+00 * 0 * 0 * 0 54115.90 336.710 -0.831 0.837365 3.0e-10 5.83e-15 1.5e-17 * 0 * 0 54115.90 738.00 2.0e+00 * 0 * 0 0.74 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.34 * pksmb * - -1076 J1638-3815 J1638-3815 16:38:37.3 1.8e-02 -38:15:03.4 7.0e-01 * 0 * 0 * 0 52135.00 344.264 5.764 0.698261 2.0e-10 7.70e-17 3.0e-18 * 0 * 0 52135.00 238.00 1.1e+00 * 0 * 0 0.67 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.04 * pksmb,htru_pks * -1077 J1638-3951 J1638-3951 16:38:15.5 5.0e-02 -39:51:59 1.0e+00 * 0 * 0 * 0 54863.30 343.005 4.744 0.771130 8.0e-11 5.90e-16 4.0e-17 * 0 * 0 54863.30 249.00 4.0e+00 * 0 * 0 0.21 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.66 * pksmb * -1078 J1638-42 J1638-42 16:38:31 0 -42:33:56 0 * 0 * 0 * 0 55561.00 341.019 2.910 0.510900 0 * 0 * 0 * 0 55561.00 410.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 22.69 * htru_pks * -1079 J1638-4344 J1638-4344 16:38:52.8 5.0e-02 -43:44:04 1.0e+00 * 0 * 0 * 0 51707.00 340.191 2.081 1.121944 7.0e-11 2.50e-17 1.6e-17 * 0 * 0 51707.00 237.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 * pksmb,htru_pks * -1080 J1638-44 J1638-44 16:38:18 3.0e+01 -44:40 7.0e+00 * 0 * 0 * 0 * 339.427 1.537 0.568057 3.0e-10 * 0 * 0 * 0 * 494.00 5.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.50 * htru_pks * - -1081 J1638-4417 J1638-4417 16:38:46.2 1.4e-02 -44:17:03.6 4.0e-01 * 0 * 0 * 0 56657.00 339.768 1.730 0.117802 9.0e-13 1.61e-15 1.2e-19 * 0 * 0 56657.00 436.40 3.0e-01 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.03 * pksmb,htru_pks * -1082 J1638-4608 J1638-4608 16:38:22.9 1.0e-02 -46:08:11.6 5.0e-01 * 0 * 0 * 0 51480.00 338.343 0.544 0.278137 6.0e-12 5.15e-14 9.0e-19 * 0 * 0 51480.00 423.10 1.0e-01 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * pksmb,htru_pks * -1083 J1638-4725 J1638-4725 16:38:12.9 1.1e-01 -47:25:32 3.0e+00 * 0 * 0 * 0 52651.00 337.364 -0.296 0.763933 3.0e-07 4.79e-15 9.0e-16 1.800e-23 1.8e-23 * 0 52651.00 552.10 1.4e+00 * 0 * 0 0.32 0 MSS 53502.1000 1.0e+00 1940.9000 8.0e-01 2382.0000 1.9e+01 88.50 1.1e+00 9.550e-01 8.0e-03 * 0 * 0 * 0 4.74 * pksmb * -1084 J1638-5226 J1638-5226 16:38:59.9 3.0e-02 -52:26:57.4 4.0e-01 * 0 * 0 * 0 52145.00 333.702 -3.739 0.340503 6.0e-12 2.65e-15 4.0e-18 * 0 * 0 52145.00 170.10 1.5e+00 * 0 * 0 0.60 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.22 * pksmb,htru_pks * -1085 J1639-4359 J1639-4359 16:39:06.8 4.0e-02 -43:59:52 2.0e+00 * 0 * 0 * 0 51490.00 340.023 1.875 0.587559 4.0e-11 1.50e-17 1.5e-17 * 0 * 0 51490.00 258.90 1.6e+00 * 0 * 0 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.89 * pksmb,htru_pks * - -1086 B1635-45 J1639-4604 16:39:21.2 1.1e-02 -46:04:33.1 4.0e-01 * 0 * 0 * 0 48360.70 338.500 0.459 0.529116 8.0e-12 5.78e-15 4.0e-19 * 0 * 0 48360.70 258.91 4.0e-02 * 0 15.00 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.79 * pks1,pks70,pksmb,htru_pks * -1087 J1640+2224 J1640+2224 16:40:16.7 3.2e-06 +22:24:08.8 6.4e-05 * 0 * 0 0.660 7.0e-02 55366.00 41.051 38.271 0.003163 2.0e-18 2.82e-21 6.0e-26 * 0 * 0 55366.00 18.46 8.0e-03 * 0 * 0 2.00 1.0e+00 DD 55310.8528 4.0e-04 175.4607 7.0e-09 55.3297 3.0e-06 50.73 8.0e-04 7.973e-04 1.3e-08 * 0 * 0 * 0 1.52 GRS:[hsg+14] ar4 HE -1088 J1640-4631 J1640-4631 16:40:43.5 1.0e-02 -46:31:35.4 2.0e-01 * 0 * 0 * 0 56466.00 338.320 -0.017 0.206443 1.8e-09 9.76e-13 5.0e-15 * 0 * 0 56466.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.75 SNR:PWN:G338.3-0.0[wg96],GRS:HESS_J1640- misc NRAD -1089 J1640-4648 J1640-4648 16:40:47.6 6.0e-02 -46:48:45 2.0e+00 * 0 * 0 * 0 51608.00 338.114 -0.215 0.178352 1.3e-11 8.06e-16 1.3e-18 * 0 * 0 51608.00 474.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * pksmb * -1090 B1636-47 J1640-4715 16:40:13.1 3.0e-02 -47:15:35.3 8.0e-01 * 0 * 0 * 0 48360.70 337.714 -0.439 0.517405 2.0e-11 4.20e-14 8.0e-19 * 0 * 0 48360.70 586.32 6.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pks1,pksmb,htru_pks * - -1091 J1640-4951 J1640-4951 16:40:43.5 3.0e-02 -49:51:02.1 7.0e-01 * 0 * 0 * 0 51486.00 335.829 -2.218 0.739099 3.0e-11 3.34e-16 5.0e-18 * 0 * 0 51486.00 411.40 1.9e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.91 * pksmb * -1092 J1641-2347 J1641-2347 16:41:18.0 6.0e-02 -23:47:36 6.0e+00 * 0 * 0 * 0 51500.00 355.831 14.714 1.091008 1.6e-11 4.11e-17 1.5e-18 * 0 * 0 51500.00 27.70 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * pkssw * -1093 B1639+36A J1641+3627A 16:41:40.8 3.0e-03 +36:27:15.4 6.0e-02 * 0 * 0 * 0 47666.21 59.000 40.914 0.010378 6.0e-13 * 0 * 0 * 0 47666.21 30.36 4.0e-02 * 0 3.00 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1094 B1639+36B J1641+3627B 16:41:41 9.0e+00 +36:27:37 1.0e+02 * 0 * 0 * 0 47149.18 59.008 40.914 0.003528 5.0e-09 * 0 * 0 * 0 47149.18 29.50 1.5e+00 * 0 * 0 0.02 0 BT 47149.1835 1.8e-03 1.2591 3.0e-06 1.3890 2.0e-03 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1095 J1641+3627C J1641+3627C 16:41:41 0 +36:27:37 0 * 0 * 0 * 0 53735.00 59.008 40.914 0.003722 1.0e-06 * 0 * 0 * 0 53735.00 30.10 1.0e-01 * 0 * 0 0.03 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * - -1096 J1641+3627D J1641+3627D 16:41:41 0 +36:27:37 0 * 0 * 0 * 0 53735.00 59.008 40.914 0.003118 1.0e-06 * 0 * 0 * 0 53735.00 30.60 1.0e-01 * 0 * 0 0.02 0 BT * 0 0.5920 4.0e-03 0.9240 1.0e-03 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1097 J1641+3627E J1641+3627E 16:41:41 9.0e+00 +36:27:37 1.0e+02 * 0 * 0 * 0 53735.00 59.008 40.914 0.002487 1.0e-06 * 0 * 0 * 0 53735.00 30.30 1.0e-01 * 0 * 0 0.01 0 BT * 0 0.1170 8.0e-03 0.0370 4.0e-03 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1098 J1643-1224 J1643-1224 16:43:38.1 9.0e-06 -12:24:58.6 6.0e-04 5.940 5.0e-02 3.940 1.8e-01 1.270 1.9e-01 54500.00 5.669 21.218 0.004622 2.0e-16 1.85e-20 1.1e-24 * 0 * 0 54500.00 62.41 0 -0.001 5.0e-06 75.00 3.0e+00 4.80 4.0e-01 DD 49577.9720 3.0e-03 147.0173 7.0e-05 25.0726 7.0e-07 321.86 6.0e-03 5.058e-04 9.0e-09 * 0 * 0 * 0 0.74 * pks70,pkssw * -1099 J1643-4505 J1643-4505 16:43:36.9 9.0e-02 -45:05:46.0 1.6e+00 * 0 * 0 * 0 52923.00 339.728 0.547 0.237383 1.7e-11 3.18e-14 1.0e-17 * 0 * 0 52923.00 478.60 6.0e-01 * 0 * 0 0.28 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 * pksmb,htru_pks * -1100 J1643-4522 J1643-4522 16:43:20.4 7.0e-02 -45:22:01 2.0e+00 * 0 * 0 * 0 51590.00 339.492 0.406 1.347899 1.1e-10 8.28e-15 1.1e-17 * 0 * 0 51590.00 482.00 4.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * pksmb * - -1101 J1643-4550 J1643-4550 16:43:13.5 2.0e-02 -45:50:54.5 5.0e-01 * 0 * 0 * 0 51685.00 339.115 0.105 0.717508 1.6e-11 3.00e-14 3.0e-18 * 0 * 0 51685.00 450.80 1.7e+00 * 0 * 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1102 J1644-44 J1644-44 16:44:36 3.0e+01 -44:10 7.0e+00 * 0 * 0 * 0 51030.20 340.546 1.023 0.173911 2.0e-07 * 0 * 0 * 0 51030.20 535.10 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.42 * pksmb * -1103 B1641-45 J1644-4559 16:44:49.2 1.9e-02 -45:59:09.5 4.0e-01 * 0 * 0 * 0 46800.00 339.193 -0.195 0.455060 1.0e-11 2.01e-14 6.0e-19 * 0 * 0 46800.00 478.80 8.0e-01 * 0 375.00 0 296.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * misc,mol2,pks1,pks70,pksmb,htru_pks * -1104 J1644-46 J1644-46 16:44:06 3.0e+01 -46:26 7.0e+00 * 0 * 0 * 0 50839.00 338.773 -0.393 0.250941 1.0e-07 * 0 * 0 * 0 50839.00 405.80 0 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.28 * pksmb * -1105 J1644-4657 J1644-4657 16:44:38.5 1.0e-01 -46:57:38 4.0e+00 * 0 * 0 * 0 54835.10 338.435 -0.808 0.125962 4.0e-11 7.50e-16 2.0e-17 * 0 * 0 54835.10 718.00 6.0e+00 * 0 * 0 0.59 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.78 * pksmb * - -1106 B1642-03 J1645-0317 16:45:02.0 6.0e-04 -03:17:58.3 3.0e-02 -3.700 1.5e+00 30.000 1.6e+00 * 0 46515.00 14.114 26.062 0.387690 7.0e-12 1.78e-15 1.7e-20 6.600e-27 1.1e-27 * 0 46515.00 35.76 8.0e-04 * 0 393.00 4.3e+01 21.00 6.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * misc,mol1,mol2,gb2,gb3,pks70,pkssw * -1107 J1645+1012 J1645+1012 16:45:34.4 5.0e-03 +10:12:16.0 9.0e-02 * 0 * 0 * 0 48957.50 27.719 32.548 0.410861 1.0e-12 8.13e-17 2.0e-19 * 0 * 0 48957.50 36.17 1.9e-04 * 0 2.30 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * ar4 * -1108 J1646-2142 J1646-2142 16:46:18.1 7.0e-02 -21:42:09.0 1.4e+00 * 0 * 0 * 0 55561.00 358.266 15.116 0.005850 0 * 0 * 0 * 0 55561.00 29.80 0 * 0 * 0 * 0 BT * 0 23.0000 0 * 0 * 0 * 0 * 0 * 0 * 0 0.97 GRS:2FGL_J1645.7-2148c[naa+12] FermiAssoc * -1109 J1646-4308 J1646-4308 16:46:55.3 2.0e-01 -43:08:07 4.0e+00 * 0 * 0 * 0 51757.00 341.603 1.374 0.840680 3.0e-10 1.10e-16 8.0e-17 * 0 * 0 51757.00 595.00 1.5e+01 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.13 * pksmb * -1110 B1643-43 J1646-4346 16:46:51.3 3.0e-01 -43:46:38 5.0e+00 * 0 * 0 * 0 48657.80 341.105 0.968 0.231603 9.0e-11 1.13e-13 4.0e-18 * 0 * 0 48657.80 490.40 3.0e-01 * 0 * 0 0.98 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.25 SNR:G341.2+0.9(?)[fgw94] pks1,pksmb,htru_pks * - -1111 J1646-5123 J1646-5123 16:46:36.3 4.0e-02 -51:23:14.6 5.0e-01 * 0 * 0 * 0 52906.00 335.276 -3.929 0.530075 2.0e-11 2.10e-15 1.2e-17 * 0 * 0 52906.00 279.00 3.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.98 * pksmb * -1112 B1641-68 J1646-6831 16:46:54.8 1.0e-01 -68:31:51 1.0e+00 * 0 * 0 * 0 43558.10 321.842 -14.829 1.785611 6.0e-10 1.70e-15 3.0e-17 * 0 * 0 43558.10 43.00 2.0e+00 * 0 23.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * mol2,pks70,pkssw,htru_pks * -1113 J1647-3607 J1647-3607 16:47:46.5 2.0e-02 -36:07:04 1.0e+00 * 0 * 0 * 0 54984.00 347.084 5.773 0.212316 5.0e-11 1.29e-16 2.0e-18 * 0 * 0 54984.00 224.00 1.0e+00 * 0 * 0 0.17 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.92 * pkssw,htru_pks RRAT -1114 J1647-4552 J1647-4552 16:47:10.2 3.0e-02 -45:52:16.8 3.0e-01 * 0 * 0 * 0 54008.00 339.546 -0.431 10.610656 1.3e-07 8.33e-13 3.0e-14 * 0 * 0 54008.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:CXO_J164710.2-455216 misc AXP,NRAD -1115 J1647+66 J1647+66 16:48 1.0e+00 +66:04 8.0e+00 * 0 * 0 * 0 56292.00 97.076 37.011 1.599819 5.0e-05 * 0 * 0 * 0 56292.00 23.00 2.0e+00 * 0 3.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.13 * gbncc * - -1116 J1648-3256 J1648-3256 16:48:06.0 4.0e-03 -32:56:40.8 2.0e-01 * 0 * 0 * 0 49411.80 349.586 7.749 0.719455 2.0e-12 3.53e-15 1.0e-19 * 0 * 0 49411.80 128.28 6.0e-03 * 0 11.00 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pks70,pkssw,htru_pks * -1117 J1648-4458 J1648-4458 16:48:13.0 1.0e-01 -44:58:26 3.0e+00 * 0 * 0 * 0 51590.00 340.349 0.009 0.629632 8.0e-11 1.85e-15 8.0e-18 * 0 * 0 51590.00 925.00 6.0e+00 * 0 * 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.52 * pksmb,htru_pks * -1118 J1648-4611 J1648-4611 16:48:22.0 3.0e-02 -46:11:16 1.0e+00 * 0 * 0 * 0 51486.00 339.438 -0.794 0.164950 9.0e-12 2.37e-14 1.1e-18 * 0 * 0 51486.00 392.30 3.0e-01 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 GRS:2FGL_J1648.4-4612[naa+12](?) pksmb,htru_pks * -1119 J1648-6044 J1648-6044 16:48:51.2 2.0e-02 -60:44:25.5 1.0e-01 * 0 * 0 * 0 55222.00 328.220 -10.141 0.583765 5.0e-11 4.29e-16 3.0e-18 * 0 * 0 55222.00 106.20 1.0e-01 * 0 * 0 0.66 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 * htru_pks * -1120 J1649+2533 J1649+2533 16:49:44.2 5.0e-02 +25:33:07.0 2.0e-01 * 0 * 0 * 0 51825.00 45.648 37.107 1.015257 5.0e-10 5.59e-16 2.0e-19 * 0 * 0 51825.00 34.46 7.8e-03 * 0 7.40 4.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * - -1121 J1649-3805 J1649-3805 16:49:48.2 1.9e-02 -38:05:59.1 3.0e-01 * 0 * 0 * 0 52885.00 345.815 4.194 0.262026 7.0e-12 3.67e-17 1.4e-18 * 0 * 0 52885.00 213.80 5.0e-01 * 0 * 0 1.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.83 * pksmb,htru_pks * -1122 J1649-3935 J1649-3935 16:49:06.6 3.0e-02 -39:35:44.2 1.4e+00 * 0 * 0 * 0 55985.00 344.577 3.341 0.770910 1.4e-11 3.91e-17 4.0e-19 * 0 * 0 55985.00 290.00 7.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.45 * htru_pks * -1123 J1649-4349 J1649-4349 16:49:20.4 8.0e-02 -43:49:22.2 1.5e+00 * 0 * 0 * 0 51243.00 341.360 0.596 0.870712 7.0e-11 4.40e-17 1.9e-17 * 0 * 0 51243.00 398.60 1.2e+00 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * pksmb,htru_pks * -1124 J1649-4653 J1649-4653 16:49:24.5 1.0e-01 -46:53:09 6.0e+00 * 0 * 0 * 0 51294.00 339.019 -1.380 0.557019 1.0e-10 4.97e-14 5.0e-17 * 0 * 0 51294.00 331.00 1.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.96 * pksmb,htru_pks * -1125 J1649-4729 J1649-4729 16:49:18.2 1.2e-01 -47:29:53 5.0e+00 * 0 * 0 * 0 51157.00 338.538 -1.759 0.297692 5.0e-11 6.55e-15 1.6e-17 * 0 * 0 51157.00 540.20 1.8e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.34 * pksmb,htru_pks * - -1126 J1649-5553 J1649-5553 16:49:31.1 1.0e-01 -55:53:40 2.0e+00 * 0 * 0 * 0 51650.00 332.077 -7.148 0.613571 7.0e-11 1.70e-15 1.6e-17 * 0 * 0 51650.00 180.40 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.61 * pkssw,htru_pks * -1127 J1649+80 J1649+80 16:50 4.0e+00 +80:45 8.0e+00 * 0 * 0 * 0 56292.00 113.571 31.491 0.002021 1.3e-09 * 0 * 0 * 0 56292.00 31.09 4.0e-02 * 0 4.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * gbncc * -1128 J1650-1654 J1650-1654 16:50:27.2 5.5e-02 -16:54:40 5.7e+00 * 0 * 0 * 0 50862.00 2.856 17.234 1.749552 4.0e-11 3.20e-15 4.0e-19 -6.000e-28 4.0e-27 * 0 50862.00 43.25 1.5e-01 * 0 13.00 0 1.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * pks70 * -1129 J1650-4126 J1650-4126 16:50:13.1 5.0e-03 -41:26:33.8 3.0e-01 * 0 * 0 * 0 51685.00 343.291 1.997 0.308918 3.0e-12 1.98e-17 4.0e-19 * 0 * 0 51685.00 251.50 5.0e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * pksmb,htru_pks * -1130 J1650-4341 J1650-4341 16:50:44.6 1.0e-02 -43:41:30.8 5.0e-01 * 0 * 0 * 0 51737.00 341.623 0.485 0.309398 4.0e-12 1.67e-17 1.9e-19 * 0 * 0 51737.00 673.00 4.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb * - -1131 J1650-4502 J1650-4502 16:50:32.3 6.0e-02 -45:02:37.3 2.0e+00 * 0 * 0 * 0 51118.00 340.559 -0.351 0.380870 5.0e-11 1.61e-14 1.6e-17 * 0 * 0 51118.00 320.20 3.0e-01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * -1132 J1650-4601 J1650-4601 16:50:18.6 2.0e-02 -46:01:18.6 4.0e-01 * 0 * 0 * 0 55716.00 339.782 -0.946 0.127123 1.7e-12 1.51e-14 5.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1650.3-4600[aaa+15] FermiBlind NRAD -1133 J1650-4921 J1650-4921 16:50:35.1 6.0e-03 -49:21:03.8 1.2e-01 * 0 * 0 * 0 53253.00 337.248 -3.108 0.156399 1.0e-12 1.82e-15 2.0e-19 * 0 * 0 53253.00 229.30 3.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.31 * pksmb,htru_pks * -1134 B1648-17 J1651-1709 16:51:31.7 2.5e-02 -17:09:22 2.5e+00 * 0 * 0 * 0 50027.00 2.810 16.882 0.973394 5.0e-12 3.04e-15 5.0e-20 1.400e-27 9.0e-28 * 0 50027.00 33.46 6.0e-02 * 0 9.00 1.0e+00 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.84 * mol2,gb2,gb3,pks70 * -1135 B1648-42 J1651-4246 16:51:48.7 8.0e-02 -42:46:11 2.0e+00 * 0 * 0 * 0 46943.00 342.457 0.923 0.844081 9.0e-11 4.81e-15 5.0e-18 * 0 * 0 46800.00 482.00 3.0e+00 * 0 100.00 0 16.00 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * mol2,pks1,pks70,pksmb,htru_pks * - -1136 J1651-4519 J1651-4519 16:51:57.2 5.0e-01 -45:19:11 8.0e+00 * 0 * 0 * 0 51399.00 340.506 -0.719 0.517443 1.9e-10 8.19e-15 1.1e-16 * 0 * 0 51399.00 562.00 6.0e+00 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.06 * pksmb,htru_pks * -1137 B1647-52 J1651-5222 16:51:42.9 4.0e-02 -52:22:58.2 8.0e-01 * 0 * 0 * 0 43556.91 335.014 -5.172 0.635056 1.2e-10 1.81e-15 5.0e-18 * 0 * 0 43556.91 179.10 6.0e-01 * 0 23.00 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.28 * mol2,pks70,pkssw,pksmb,htru_pks * -1138 B1647-528 J1651-5255 16:51:41.2 1.0e-01 -52:55:48 3.0e+00 * 0 * 0 * 0 43558.76 334.586 -5.514 0.890534 4.0e-10 2.07e-15 1.5e-17 * 0 * 0 43558.76 164.00 2.0e+00 * 0 12.00 0 2.89 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * mol2,pkssw,htru_pks * -1139 J1651-7642 J1651-7642 16:51:07.8 1.6e-01 -76:42:39.5 7.0e-01 * 0 * 0 * 0 53000.00 315.149 -19.953 1.755311 1.8e-10 1.36e-15 8.0e-18 * 0 * 0 53000.00 80.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.22 * pkssw * -1140 J1652-1400 J1652-1400 16:52:16.6 7.0e-03 -14:00:27.4 4.0e-01 * 0 * 0 * 0 53000.00 5.599 18.581 0.305447 3.0e-12 1.76e-17 1.5e-19 * 0 * 0 53000.00 49.50 1.3e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.60 * pkssw * - -1141 B1649-23 J1652-2404 16:52:58.5 5.5e-02 -24:03:51 6.4e+00 * 0 * 0 * 0 48742.00 357.315 12.454 1.703739 5.0e-12 3.16e-15 4.0e-20 -1.850e-27 1.6e-28 * 0 48742.00 68.41 3.0e-02 * 0 9.20 6.0e-01 1.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 * mol2,pks70,pkssw,htru_pks * -1142 J1652+2651 J1652+2651 16:52:03.0 3.0e-02 +26:51:40.4 4.0e-01 * 0 * 0 * 0 51739.00 47.402 36.954 0.915803 5.0e-11 6.54e-16 1.0e-19 * 0 * 0 51739.00 40.80 1.7e-04 * 0 11.30 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4,gb4 * -1143 J1652-4406 J1652-4406 16:52:59.5 2.0e-01 -44:06:05 4.0e+00 * 0 * 0 * 0 54947.00 341.564 -0.088 7.707183 4.0e-09 9.50e-15 2.0e-16 * 0 * 0 54947.00 786.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * pksmb RRAT -1144 J1652-48 J1652-48 16:52:54 3.0e+01 -48:45 7.0e+00 * 0 * 0 * 0 51373.30 337.954 -3.019 0.003785 4.0e-10 * 0 * 0 * 0 51373.30 187.80 0 * 0 * 0 2.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.39 * pksmb * -1145 J1653-2054 J1653-2054 16:53:31.0 2.0e-02 -20:54:55.1 1.0e-01 * 0 * 0 * 0 55694.60 359.969 14.261 0.004129 2.0e-15 1.12e-20 6.0e-23 * 0 * 0 55694.60 56.56 2.0e-02 * 0 * 0 0.16 0 ELL1 * 0 1.2268 9.0e-09 0.6889 6.0e-06 * 0 * 0 55584.7286 3.0e-06 0.000e+00 2.0e-05 0.000e+00 2.0e-05 2.63 * htru_pks * - -1146 B1650-38 J1653-3838 16:53:39.7 1.1e-02 -38:38:20.8 5.0e-01 * 0 * 0 * 0 48360.50 345.878 3.268 0.305037 3.0e-12 2.79e-15 2.0e-19 * 0 * 0 48360.50 207.20 2.0e-01 * 0 * 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pks1,pksmb,htru_pks * -1147 J1653-4030 J1653-4030 16:53:34.2 1.4e-01 -40:30:01.4 4.8e+00 * 0 * 0 * 0 53139.00 344.422 2.107 1.019372 1.6e-10 4.36e-16 4.0e-17 * 0 * 0 53139.00 425.00 8.0e+00 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.22 * pksmb,htru_pks * -1148 J1653-4249 J1653-4249 16:53:40.2 5.0e-02 -42:49:03.3 1.9e+00 * 0 * 0 * 0 51118.00 342.636 0.629 0.612558 5.0e-11 4.81e-15 3.0e-17 * 0 * 0 51118.00 416.10 1.1e+00 * 0 * 0 1.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.48 * pksmb,htru_pks * -1149 J1653-4315 J1653-4315 16:53:29.7 2.0e-01 -43:15:01 5.0e+00 * 0 * 0 * 0 51587.00 342.281 0.380 0.419280 9.0e-11 1.50e-17 4.0e-18 * 0 * 0 51587.00 337.00 6.0e+00 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb,htru_pks * -1150 J1653-4854 J1653-4854 16:53:56.7 1.0e-01 -48:54:51 4.0e+00 * 0 * 0 * 0 51708.00 337.936 -3.256 3.059510 5.0e-10 3.45e-15 1.1e-16 * 0 * 0 51708.00 354.00 6.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.22 * pksmb,htru_pks * - -1151 J1654-23 J1654-23 16:54:03 3.1e+01 -23:35 7.0e+00 * 0 * 0 * 0 55261.00 357.859 12.552 0.545360 3.0e-08 * 0 * 0 * 0 55261.00 74.50 2.5e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * pkssw RRAT -1152 J1654-2713 J1654-2713 16:54:23.6 5.0e-02 -27:13:02 5.0e+00 * 0 * 0 * 0 51002.00 354.972 10.271 0.791822 1.9e-11 1.68e-16 1.9e-19 -3.400e-27 1.0e-26 * 0 51002.00 92.31 1.2e-01 * 0 9.00 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.94 * pks70 * -1153 J1654-3710 J1654-3710 16:54:44.4 1.9e-02 -37:10:57.1 9.0e-01 * 0 * 0 * 0 53131.00 347.147 4.018 0.939165 3.0e-11 7.35e-16 3.0e-18 * 0 * 0 53131.00 302.00 1.2e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.02 * pksmb,htru_pks * -1154 J1654-4140 J1654-4140 16:54:23.5 1.0e-01 -41:40:24 3.0e+00 * 0 * 0 * 0 51399.00 343.609 1.247 1.273945 1.2e-10 1.30e-16 8.0e-17 * 0 * 0 51399.00 307.00 3.0e+00 * 0 * 0 0.71 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.65 * pksmb,htru_pks * -1155 J1654-4245 J1654-4245 16:54:22.0 4.0e-02 -42:45:39 3.0e+00 * 0 * 0 * 0 54024.20 342.761 0.565 1.101555 7.0e-10 5.12e-14 3.0e-17 * 0 * 0 54024.20 950.00 1.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.73 * pksmb * - -1156 J1655-3048 J1655-3048 16:55:24.5 2.0e-02 -30:48:42 1.0e+00 * 0 * 0 * 0 51500.00 352.245 7.880 0.542936 9.0e-12 3.66e-17 9.0e-19 * 0 * 0 51500.00 154.30 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.70 * pkssw,htru_pks * -1157 J1655-3844 J1655-3844 16:55:38.6 5.0e-02 -38:44:09 1.0e+00 * 0 * 0 * 0 54863.30 346.046 2.906 1.193439 1.4e-10 2.00e-15 6.0e-17 * 0 * 0 54863.30 365.00 1.1e+01 * 0 * 0 0.25 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.08 * pksmb * -1158 J1656+00 J1656+00 16:56:41 1.1e+02 +00:26 8.0e+00 * 0 * 0 * 0 57022.00 19.336 25.510 1.497850 0 * 0 * 0 * 0 57022.00 46.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.94 * ar327 * -1159 J1656-3621 J1656-3621 16:56:32.9 1.5e-02 -36:21:59.7 6.0e-01 * 0 * 0 * 0 53123.00 348.013 4.245 0.730134 1.6e-11 1.28e-15 1.6e-18 * 0 * 0 53123.00 229.00 3.0e+00 * 0 * 0 0.29 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.75 * pksmb,htru_pks * -1160 J1657-4432 J1657-4432 16:57:36.7 4.0e-02 -44:32:20 1.0e+00 * 0 * 0 * 0 51685.00 341.743 -1.006 0.609607 4.0e-11 8.20e-15 5.0e-18 * 0 * 0 51685.00 375.30 1.6e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pksmb * - -1161 J1658-4306 J1658-4306 16:58:16.6 3.0e-01 -43:06:50 7.0e+00 * 0 * 0 * 0 51451.00 342.933 -0.214 1.166449 5.0e-10 4.28e-14 6.0e-17 * 0 * 0 51451.00 845.00 1.1e+01 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.25 * pksmb,htru_pks * -1162 J1658-47 J1658-47 16:58:24 3.0e+01 -47:12 7.0e+00 * 0 * 0 * 0 56657.00 339.742 -2.767 0.369365 1.4e-06 * 0 * 0 * 0 56657.00 533.00 5.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 23.44 * htru_pks * -1163 J1658-4958 J1658-4958 16:58:54.9 6.0e-02 -49:58:58.4 6.0e-01 * 0 * 0 * 0 52146.00 337.602 -4.554 0.416874 1.1e-11 3.86e-15 7.0e-18 * 0 * 0 52146.00 193.40 1.3e+00 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * pksmb,htru_pks * -1164 J1658-5324 J1658-5324 16:58:39.3 9.0e-05 -53:24:07.0 1.0e-03 0.200 8.0e-01 4.900 2.3e-01 * 0 55520.00 334.869 -6.625 0.002439 3.0e-16 1.12e-20 4.0e-24 * 0 * 0 55520.00 30.81 3.0e-02 * 0 * 0 0.70 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 GRS:3FGL_J1658.4-5323[aaa+15],XRS:[pb15] FermiAssoc HE -1165 B1657-13 J1659-1305 16:59:53.0 2.1e-02 -13:05:09.0 1.8e+00 * 0 * 0 * 0 49725.00 7.507 17.592 0.640958 5.0e-12 6.18e-16 4.0e-20 3.280e-26 1.7e-27 * 0 49725.00 60.37 7.0e-02 * 0 6.30 7.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.48 * gb2,pks70 * - -1166 J1659-4316 J1659-4316 16:59:56.3 4.0e-02 -43:16:06 2.0e+00 * 0 * 0 * 0 51527.00 343.000 -0.547 0.474381 3.0e-11 1.71e-16 1.0e-17 * 0 * 0 51527.00 640.90 2.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pksmb,htru_pks * -1167 J1659-4439 J1659-4439 16:59:39.4 4.0e-02 -44:39:01 1.0e+00 * 0 * 0 * 0 51685.00 341.881 -1.361 0.353293 1.5e-11 2.50e-17 3.0e-18 * 0 * 0 51685.00 535.00 3.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.68 * pksmb,htru_pks * -1168 J1700-3312 J1700-3312 17:00:52.9 1.8e-02 -33:12:46.5 1.4e+00 * 0 * 0 * 0 50856.00 351.055 5.489 1.358307 1.0e-11 4.71e-15 1.3e-19 -2.160e-26 2.0e-27 * 0 50856.00 166.97 9.0e-02 * 0 21.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.39 * pks70,pkssw,pksmb,htru_pks * -1169 J1700-3611 J1700-3611 17:00:49.3 5.0e-02 -36:11:53 3.0e+00 * 0 * 0 * 0 52828.00 348.679 3.672 1.494091 1.6e-10 4.32e-15 1.6e-17 * 0 * 0 52828.00 232.70 1.2e+00 * 0 * 0 0.92 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.28 * pksmb,htru_pks * -1170 J1700-3919 J1700-3919 17:00:22.2 3.0e-02 -39:19:00.0 1.4e+00 * 0 * 0 * 0 52025.00 346.161 1.826 0.560504 1.6e-11 5.03e-18 1.3e-18 * 0 * 0 52025.00 354.30 1.8e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.66 * pksmb * - -1171 J1700-4012 J1700-4012 17:00:38.5 4.0e-02 -40:12:38.6 1.2e+00 * 0 * 0 * 0 53105.00 345.488 1.234 0.283792 1.1e-11 9.91e-17 4.0e-18 * 0 * 0 53105.00 385.00 4.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.62 * pksmb * -1172 J1700-4422 J1700-4422 17:00:53.6 8.0e-02 -44:22:27 1.0e+00 * 0 * 0 * 0 55065.00 342.235 -1.364 0.755535 3.0e-10 4.00e-17 2.0e-17 * 0 * 0 55065.00 425.00 5.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.65 * htru_pks * -1173 J1700-4939 J1700-4939 17:00:22.5 4.0e-02 -49:39:15 1.0e+00 * 0 * 0 * 0 51709.00 338.008 -4.538 0.578363 4.0e-11 1.08e-15 7.0e-18 * 0 * 0 51709.00 278.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.43 * pksmb * -1174 J1701-3006A J1701-3006A 17:01:12.5 4.9e-04 -30:06:30.1 3.6e-02 * 0 * 0 * 0 55038.00 353.578 7.322 0.005242 2.9e-15 -1.30e-19 1.5e-21 * 0 * 0 55038.00 114.97 8.4e-03 * 0 * 0 0.40 1.0e-01 BT 55040.0382 3.6e-07 3.8059 5.8e-09 3.4837 1.9e-06 * 0 0.000e+00 1.8e-06 * 0 * 0 * 0 7.05 GC:M62(NGC6266) pksgc * -1175 J1701-3006B J1701-3006B 17:01:12.6 1.0e-03 -30:06:49.0 7.6e-02 * 0 * 0 * 0 55038.00 353.574 7.319 0.003594 3.4e-15 -3.48e-19 2.0e-21 * 0 * 0 55038.00 115.21 3.8e-01 * 0 * 0 0.30 1.0e-01 BT 55038.6258 5.4e-07 0.1445 5.8e-10 0.2528 2.8e-06 * 0 0.000e+00 4.5e-05 * 0 * 0 * 0 7.05 GC:M62(NGC6266) pksgc * - -1176 J1701-3006C J1701-3006C 17:01:12.8 3.5e-04 -30:06:59.4 2.1e-02 * 0 * 0 * 0 55038.00 353.572 7.316 0.007613 6.8e-15 -6.41e-20 1.0e-22 * 0 * 0 55038.00 114.56 6.9e-03 * 0 * 0 0.30 1.0e-01 BT 55037.9266 7.4e-07 0.2150 5.1e-10 0.1929 3.3e-06 * 0 0.000e+00 7.9e-05 * 0 * 0 * 0 7.05 GC:M62(NGC6266) pksgc * -1177 J1701-3006D J1701-3006D 17:01:13.5 1.5e-03 -30:06:42.5 7.9e-02 * 0 * 0 * 0 55038.00 353.577 7.317 0.003418 1.7e-15 1.26e-19 2.4e-21 * 0 * 0 55038.00 114.22 1.1e-02 * 0 * 0 * 0 BT 55037.8871 9.3e-07 1.1179 8.2e-09 0.9880 5.0e-06 101.60 1.3e+00 4.122e-04 6.7e-06 * 0 * 0 * 0 7.05 GC:M62(NGC6266) misc * -1178 J1701-3006E J1701-3006E 17:01:13.2 1.7e-03 -30:06:46.8 1.1e-01 * 0 * 0 * 0 55038.00 353.576 7.317 0.003234 6.5e-15 3.10e-19 2.7e-21 * 0 * 0 55038.00 113.79 2.2e-02 * 0 * 0 * 0 BT 55037.9365 5.0e-06 0.1585 5.6e-09 0.0702 5.5e-06 * 0 0.000e+00 1.9e-04 * 0 * 0 * 0 7.05 GC:M62(NGC6266) misc * -1179 J1701-3006F J1701-3006F 17:01:12.8 1.5e-03 -30:06:51.8 1.0e-01 * 0 * 0 * 0 55038.00 353.573 7.318 0.002295 2.9e-15 2.22e-19 1.8e-21 * 0 * 0 55038.00 113.29 3.4e-02 * 0 * 0 * 0 BT 55038.0892 4.9e-06 0.2055 7.2e-09 0.0573 5.2e-06 * 0 0.000e+00 3.4e-04 * 0 * 0 * 0 7.05 GC:M62(NGC6266) misc * -1180 J1701-3130 J1701-3130 17:01:43.5 5.0e-03 -31:30:36.7 4.0e-01 * 0 * 0 * 0 51500.00 352.523 6.384 0.291341 1.2e-12 5.60e-17 1.2e-19 * 0 * 0 51500.00 130.73 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.24 * pkssw,htru_pks * - -1181 B1658-37 J1701-3726 17:01:18.5 3.0e-02 -37:26:25 3.0e+00 * 0 * 0 * 0 48360.70 347.756 2.834 2.454609 2.0e-10 1.11e-14 7.0e-18 * 0 * 0 48360.70 303.40 5.0e-01 * 0 * 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.94 * pks1,pksmb,htru_pks * -1182 B1657-45 J1701-4533 17:01:29.1 6.0e-03 -45:33:48.7 3.0e-01 * 0 * 0 * 0 48360.70 341.360 -2.177 0.322909 3.0e-12 5.19e-16 2.0e-19 * 0 * 0 48360.70 526.00 6.0e-01 * 0 * 0 2.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.59 * pks1,pksmb,htru_pks * -1183 J1701-4958 J1701-4958 17:01:12.8 6.0e-02 -49:58:33 2.0e+00 * 0 * 0 * 0 54844.60 337.835 -4.841 0.804304 1.2e-10 1.10e-16 4.0e-17 * 0 * 0 54844.60 230.00 5.0e+00 * 0 * 0 0.26 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.82 * pksmb * -1184 J1702-3932 J1702-3932 17:02:14.3 3.0e-02 -39:32:40 2.0e+00 * 0 * 0 * 0 51709.00 346.203 1.401 0.390328 1.9e-11 3.78e-16 5.0e-18 * 0 * 0 51709.00 530.00 4.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.16 * pksmb * -1185 J1702-4128 J1702-4128 17:02:52.5 1.0e-02 -41:28:48.2 5.0e-01 * 0 * 0 * 0 51530.00 344.744 0.123 0.182136 6.0e-12 5.23e-14 3.0e-19 3.100e-24 1.0e-24 * 0 51530.00 367.10 7.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * pksmb,htru_pks * - -1186 J1702-4217 J1702-4217 17:02:36.4 6.0e-02 -42:17:01.2 2.2e+00 * 0 * 0 * 0 51895.00 344.078 -0.329 0.227565 7.0e-12 1.14e-17 6.0e-19 * 0 * 0 51895.00 629.00 5.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.72 * pksmb,htru_pks * -1187 J1702-4306 J1702-4306 17:02:27.2 1.1e-02 -43:06:44 1.0e+00 * 0 * 0 * 0 54212.10 343.405 -0.813 0.215507 9.0e-12 9.79e-15 1.0e-18 * 0 * 0 54212.10 538.40 5.0e-01 * 0 * 0 0.27 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb,htru_pks * -1188 J1702-4310 J1702-4310 17:02:26.9 5.0e-02 -43:10:40 2.0e+00 * 0 * 0 * 0 51597.00 343.352 -0.852 0.240524 4.0e-11 2.24e-13 1.8e-18 4.500e-23 4.0e-24 * 0 51597.00 377.60 3.0e-01 * 0 * 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb,htru_pks * -1189 J1702-4428 J1702-4428 17:02:52.6 4.0e-01 -44:28:03 7.0e+00 * 0 * 0 * 0 51400.00 342.378 -1.701 2.123506 6.0e-10 3.30e-15 4.0e-16 * 0 * 0 51400.00 395.00 8.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.14 * pksmb,htru_pks * -1190 B1700-18 J1703-1846 17:03:51.0 8.0e-03 -18:46:15.8 1.1e+00 * 0 * 0 * 0 49905.00 3.229 13.560 0.804341 1.2e-12 1.73e-15 1.0e-20 2.700e-28 3.4e-28 * 0 49905.00 49.55 1.5e-02 * 0 11.00 1.0e+00 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.69 * mol1,mol2,pks70,pkssw * - -1191 B1700-32 J1703-3241 17:03:22.5 4.4e-03 -32:41:48.0 3.2e-01 * 0 * 0 * 0 50005.00 351.786 5.387 1.211785 3.0e-12 6.60e-16 1.8e-20 1.600e-27 3.0e-28 * 0 50005.00 110.31 1.4e-02 * 0 32.00 3.0e+00 7.60 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.17 * jb1,mol2,pks70,pksmb,htru_pks * -1192 J1703-38 J1703-38 17:03:26 3.7e+01 -38:12 7.0e+00 * 0 * 0 * 0 54999.00 347.410 2.037 6.443000 1.0e-03 * 0 * 0 * 0 54999.00 375.00 1.2e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.19 * pksmb RRAT -1193 J1703-4442 J1703-4442 17:03:20.5 3.0e-02 -44:42:42 1.0e+00 * 0 * 0 * 0 51708.00 342.235 -1.916 1.747293 1.0e-10 1.43e-14 1.9e-17 * 0 * 0 51708.00 280.20 1.9e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.24 * pksmb,htru_pks * -1194 J1703-4851 J1703-4851 17:03:54.4 1.0e-02 -48:51:55.8 2.0e-01 * 0 * 0 * 0 48736.00 338.987 -4.514 1.396401 5.0e-11 5.08e-15 6.0e-19 * 0 * 0 48736.00 150.29 3.0e-02 * 0 22.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.11 * pks70,pksmb * -1195 B1659-60 J1704-6016 17:04:14.8 5.0e-01 -60:16:54 6.0e+00 * 0 * 0 * 0 43557.01 329.762 -11.367 0.306323 5.0e-10 9.10e-16 2.0e-17 * 0 * 0 43557.01 54.00 5.0e+00 * 0 23.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * mol2,pks70 * - -1196 J1705-04 J1705-04 17:05 2.0e+00 -04:41 3.6e+01 * 0 * 0 * 0 56657.00 15.709 21.105 0.237480 2.0e-05 * 0 * 0 * 0 56657.00 42.95 9.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * gb350 RRAT -1197 B1702-19 J1705-1906 17:05:36.0 3.0e-03 -19:06:38.6 3.9e-01 * 0 * 0 * 0 48733.00 3.189 13.026 0.298987 1.7e-12 4.14e-15 1.0e-20 3.340e-26 1.5e-27 * 0 48733.00 22.91 3.0e-03 * 0 29.00 3.0e+00 8.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.75 GRS:[hsg+14] mol2,pks70,pkssw,htru_pks HE -1198 J1705-3423 J1705-3423 17:05:42.3 3.0e-03 -34:23:45.1 1.2e-01 * 0 * 0 * 0 53830.00 350.720 3.975 0.255426 7.0e-12 1.08e-15 6.0e-19 1.200e-25 3.0e-26 * 0 54500.00 146.36 1.0e-01 * 0 31.00 0 4.10 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * pks70,pksmb,htru_pks * -1199 J1705-3936 J1705-3936 17:05:37.1 3.0e-01 -39:36:29 6.0e+00 * 0 * 0 * 0 51400.00 346.548 0.845 0.854482 3.0e-10 1.93e-14 1.0e-16 * 0 * 0 51400.00 598.00 5.0e+00 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.90 * pksmb,htru_pks * -1200 J1705-3950 J1705-3950 17:05:29.8 3.0e-02 -39:50:59 1.0e+00 * 0 * 0 * 0 51587.00 346.341 0.718 0.318941 1.4e-11 6.06e-14 1.3e-18 * 0 * 0 51587.00 207.25 1.0e-02 * 0 * 0 1.50 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * pksmb,htru_pks * - -1201 J1705-4108 J1705-4108 17:05:20.4 1.0e-01 -41:08:44 8.0e+00 * 0 * 0 * 0 51505.00 345.291 -0.042 0.861067 3.0e-10 3.47e-14 7.0e-17 * 0 * 0 51505.00 1077.00 6.0e+00 * 0 * 0 1.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.97 * pksmb,htru_pks * -1202 J1705-4331 J1705-4331 17:05:35.9 7.0e-03 -43:31:13.6 1.0e-01 * 0 * 0 * 0 54986.00 343.428 -1.515 0.222561 2.0e-11 7.12e-17 5.0e-19 * 0 * 0 54986.00 185.24 5.0e-02 * 0 * 0 0.43 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * htru_pks * -1203 J1705-52 J1705-52 17:05:50 0 -52:36:17 0 * 0 * 0 * 0 55561.00 336.166 -7.003 0.230700 0 * 0 * 0 * 0 55561.00 163.62 1.9e-01 * 0 * 0 0.60 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.94 * htru_pks * -1204 J1705-6135 J1705-6135 17:05:15.3 2.0e-01 -61:35:15 2.0e+00 * 0 * 0 * 0 54896.00 328.751 -12.228 0.808546 1.0e-09 6.00e-17 4.0e-17 * 0 * 0 54896.00 95.00 5.0e+00 * 0 * 0 0.30 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.58 * htru_pks * -1205 J1706-3839 J1706-3839 17:06:21.3 2.0e-01 -38:39:51 1.3e+01 * 0 * 0 * 0 51510.00 347.387 1.301 0.586287 1.8e-10 3.00e-15 6.0e-17 * 0 * 0 51510.00 626.00 7.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.62 * pksmb * - -1206 J1706-4310 J1706-4310 17:06:04.5 5.0e-02 -43:10:21 3.0e+00 * 0 * 0 * 0 51457.00 343.758 -1.375 0.616979 5.0e-10 6.51e-15 1.2e-17 * 0 * 0 51457.00 656.10 1.8e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.41 * pksmb,htru_pks * -1207 J1706+59 J1706+59 17:07 3.0e+00 +59:10 1.8e+01 * 0 * 0 * 0 56292.00 88.097 36.319 1.476687 5.8e-05 * 0 * 0 * 0 56292.00 31.00 2.0e+00 * 0 8.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * gbncc * -1208 J1706-6118 J1706-6118 17:06:09.7 6.0e-03 -61:18:11.7 1.0e-01 * 0 * 0 * 0 53000.00 329.053 -12.152 0.361921 1.5e-12 2.92e-16 4.0e-20 * 0 * 0 53000.00 76.13 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.39 * pkssw,htru_pks * -1209 B1703-40 J1707-4053 17:07:21.7 1.2e-02 -40:53:56.1 4.0e-01 * 0 * 0 * 0 51700.00 345.718 -0.198 0.581017 1.8e-11 1.92e-15 4.0e-18 * 0 * 0 51700.00 360.00 2.0e-01 * 0 * 0 7.20 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pks1,pksmb,htru_pks * -1210 J1707-4341 J1707-4341 17:07:40.1 1.0e-02 -43:41:12.0 6.0e-01 * 0 * 0 * 0 51708.00 343.521 -1.915 0.890594 3.0e-11 5.70e-15 4.0e-18 * 0 * 0 51708.00 398.20 8.0e-01 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.98 * pksmb,htru_pks * - -1211 J1707-4417 J1707-4417 17:07:41.4 3.0e-02 -44:17:19 1.0e+00 * 0 * 0 * 0 54999.00 343.041 -2.278 5.763777 4.0e-10 1.16e-14 2.0e-17 * 0 * 0 54999.00 380.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.06 * pksmb RRAT -1212 J1707-4729 J1707-4729 17:07:15.5 7.0e-03 -47:29:34.5 3.0e-01 * 0 * 0 * 0 51496.00 340.424 -4.135 0.266474 3.0e-11 1.56e-15 6.0e-19 * 0 * 0 51496.00 268.30 4.0e-01 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.86 * pksmb,htru_pks * -1213 J1708-3426 J1708-3426 17:08:57.7 3.5e-02 -34:26:44 2.9e+00 * 0 * 0 * 0 50856.00 351.083 3.407 0.692113 1.0e-11 4.20e-15 1.0e-19 -1.300e-26 7.0e-27 * 0 50856.00 190.70 3.0e-01 * 0 36.00 0 1.50 1.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.73 * pks70,pksmb,htru_pks * -1214 J1708-3506 J1708-3506 17:08:17.6 1.0e-04 -35:06:22.6 4.0e-03 -5.300 8.0e-01 -2.000 3.0e+00 * 0 55132.90 350.470 3.124 0.004505 7.0e-16 1.14e-20 1.1e-23 * 0 * 0 55132.90 146.73 2.0e-03 * 0 * 0 1.31 0 DD 55206.8010 1.0e-02 149.1332 4.0e-07 33.5842 2.0e-06 180.00 2.0e-02 2.445e-04 1.0e-07 * 0 * 0 * 0 3.32 * htru_pks * -1215 J1708-3641 J1708-3641 17:08:35.9 3.0e-02 -36:41:21.5 1.4e+00 * 0 * 0 * 0 56047.00 349.235 2.130 0.587567 1.4e-11 1.35e-16 5.0e-19 * 0 * 0 56047.00 316.00 3.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.31 * htru_pks * - -1216 J1708-3827 J1708-3827 17:08:16.5 6.0e-01 -38:27:36 1.5e+01 * 0 * 0 * 0 51401.00 347.776 1.123 1.225782 7.0e-10 8.60e-15 5.0e-16 * 0 * 0 51401.00 788.00 3.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 20.57 * pksmb * -1217 J1708-4008 J1708-4008 17:08:46.8 7.0e-02 -40:08:52.4 7.0e-01 * 0 * 0 * 0 55567.00 346.481 0.036 11.006262 7.0e-07 1.96e-11 1.0e-13 -1.000e-22 6.0e-23 * 0 55567.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.80 XRS:RXSJ170849.0-400910 misc AXP,NRAD -1218 J1708-4522 J1708-4522 17:08:12.9 6.0e-02 -45:22:51 3.0e+00 * 0 * 0 * 0 52158.00 342.220 -3.006 1.297837 7.0e-11 2.61e-15 7.0e-18 * 0 * 0 52158.00 454.00 3.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 23.12 * pksmb,htru_pks * -1219 J1708-52 J1708-52 17:08 4.0e+00 -52:00 4.0e+01 * 0 * 0 * 0 56657.00 336.854 -6.911 0.449620 0 * 0 * 0 * 0 56657.00 102.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.29 * ghrss * -1220 B1701-75 J1708-7539 17:08:02.5 5.0e-01 -75:39:23 3.0e+00 * 0 * 0 * 0 43565.10 316.676 -20.221 1.191024 8.0e-10 1.88e-15 4.0e-17 * 0 * 0 43565.10 37.00 5.0e+00 * 0 2.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * mol2,pkssw * - -1221 B1706-16 J1709-1640 17:09:26.4 1.5e-03 -16:40:57.7 1.6e-01 3.000 9.0e+00 0.000 1.4e+01 * 0 46993.00 5.775 13.657 0.653054 4.0e-11 6.31e-15 1.3e-19 3.830e-25 3.0e-27 * 0 46993.00 24.89 1.0e-03 * 0 47.00 5.0e+00 4.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.56 * mol1,mol2,gb2,gb3,pks70,pkssw,htru_ * -1222 J1709+2313 J1709+2313 17:09:05.7 6.0e-03 +23:13:27.8 1.0e-02 -3.200 7.0e-01 -9.700 9.0e-01 * 0 51145.00 44.522 32.209 0.004631 2.0e-16 3.63e-21 4.0e-23 * 0 * 0 51145.00 25.35 2.0e-04 * 0 2.52 7.0e-02 0.20 1.0e-01 BT 51196.2408 3.6e-02 22.7119 2.0e-08 15.2885 2.0e-06 24.30 5.8e-01 1.870e-05 2.0e-07 * 0 * 0 * 0 2.18 * ar4 * -1223 J1709-3626 J1709-3626 17:09:45.1 2.0e-02 -36:26:03.6 9.0e-01 * 0 * 0 * 0 51400.00 349.578 2.095 0.447857 1.1e-11 2.27e-15 1.3e-18 * 0 * 0 51400.00 393.60 1.1e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.13 * pksmb,htru_pks * -1224 J1709-3841 J1709-3841 17:09:15.9 1.9e-01 -38:41:17 1.0e+01 * 0 * 0 * 0 51117.00 347.709 0.832 0.586986 1.8e-10 7.86e-15 1.1e-16 * 0 * 0 51117.00 356.00 3.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.30 * pksmb * -1225 J1709-43 J1709-43 17:09:47 3.9e+01 -43:54:43 4.2e+02 * 0 * 0 * 0 * 343.567 -2.355 * 0 * 0 * 0 * 0 * 228.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * htru_pks RRAT - -1226 J1709-4342 J1709-4342 17:09:30.9 4.0e-01 -43:42:14 1.3e+01 * 0 * 0 * 0 51457.00 343.706 -2.193 1.735898 1.0e-08 8.00e-16 3.0e-16 * 0 * 0 51457.00 281.00 1.4e+01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.44 * pksmb,htru_pks * -1227 J1709-4401 J1709-4401 17:09:41.3 3.0e-02 -44:01:11.2 6.0e-01 * 0 * 0 * 0 55000.00 343.471 -2.406 0.865235 7.0e-10 7.37e-15 1.0e-17 * 0 * 0 55000.00 225.80 4.0e-01 * 0 * 0 1.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * htru_pks * -1228 B1706-44 J1709-4429 17:09:42.7 2.0e-03 -44:29:08.2 6.0e-02 * 0 * 0 * 0 50042.00 343.098 -2.686 0.102459 8.0e-12 9.30e-14 1.3e-19 1.731e-22 7.0e-25 * 0 50042.00 75.68 3.0e-02 * 0 25.00 4.0e+00 7.30 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 SNR:G343.1-2.3(?)[mop93],GRS:HESS_J1708- pks1,pks70,pksmb,htru_pks HE[ghd02,aaa+10m] -1229 J1710-2616 J1710-2616 17:10:04.9 1.0e-01 -26:16:35 2.0e+01 * 0 * 0 * 0 55070.00 357.859 8.029 0.954158 1.0e-09 2.00e-17 2.0e-17 * 0 * 0 55070.00 111.00 1.0e+00 * 0 * 0 1.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.31 * htru_pks * -1230 J1710-37 J1710-37 17:10:30 3.0e+01 -37:30 7.0e+00 * 0 * 0 * 0 56657.00 348.808 1.343 0.792659 3.0e-11 * 0 * 0 * 0 56657.00 346.00 1.5e+01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.05 * htru_pks * - -1231 J1710-4148 J1710-4148 17:10:23.7 4.0e-02 -41:48:19 2.0e+00 * 0 * 0 * 0 51335.00 345.330 -1.195 0.286561 1.5e-11 1.02e-16 4.0e-18 * 0 * 0 51335.00 461.00 3.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * pksmb,htru_pks * -1232 J1710+49 J1710+49 17:10:29 1.3e+01 +49:20 2.0e+00 * 0 * 0 * 0 56292.00 75.864 36.382 0.003220 2.1e-09 * 0 * 0 * 0 56292.00 7.09 8.0e-02 * 0 14.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.51 * gbncc * -1233 B1709-15 J1711-1509 17:11:55.0 8.4e-03 -15:09:39.7 6.8e-01 * 0 * 0 * 0 49907.00 7.417 14.013 0.868804 4.0e-12 1.10e-15 3.0e-20 9.900e-27 6.0e-28 * 0 49907.00 59.88 3.0e-02 * 0 5.90 6.0e-01 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * gb2,pks70,pkssw,htru_pks * -1234 J1711-3826 J1711-3826 17:11:44.4 9.0e-02 -38:26:14 5.0e+00 * 0 * 0 * 0 51710.00 348.197 0.591 0.465365 7.0e-11 7.41e-15 1.6e-17 * 0 * 0 51710.00 376.00 7.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * pksmb * -1235 J1711-4322 J1711-4322 17:11:10.5 1.2e-02 -43:22:53.1 5.0e-01 * 0 * 0 * 0 52433.00 344.145 -2.244 0.102618 6.0e-13 2.67e-17 5.0e-20 * 0 * 0 52433.00 191.50 7.0e-01 * 0 * 0 0.26 0 ELL1 * 0 922.4708 8.0e-04 139.6241 6.0e-04 293.73 0.0e+00 2.376e-03 0.0e+00 49456.0500 3.0e-03 -2.175e-03 7.0e-06 9.560e-04 5.0e-06 3.98 * pksmb,htru_pks * - -1236 B1707-53 J1711-5350 17:11:53.1 5.0e-02 -53:50:16 1.0e+00 * 0 * 0 * 0 43565.09 335.695 -8.460 0.899218 1.7e-10 1.55e-14 8.0e-18 * 0 * 0 43565.09 106.10 7.0e-01 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * mol2,pks70,pkssw,htru_pks * -1237 J1712-2715 J1712-2715 17:12:11.7 1.0e-02 -27:15:53 2.0e+00 * 0 * 0 * 0 51500.00 357.325 7.070 0.255360 3.0e-12 1.28e-15 3.0e-19 * 0 * 0 51500.00 92.64 1.3e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * pkssw,htru_pks * -1238 J1712-391 J1712-391 17:12:35 3.6e+01 -39:43 7.0e+00 * 0 * 0 * 0 51465.00 347.260 -0.295 0.778149 1.0e-06 * 0 * 0 * 0 51465.00 525.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * misc * -1239 J1712-392 J1712-392 17:12:35 3.6e+01 -39:43 7.0e+00 * 0 * 0 * 0 51465.00 347.260 -0.295 0.092528 1.0e-07 * 0 * 0 * 0 51465.00 713.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * misc * -1240 J1713+0747 J1713+0747 17:13:49.5 8.4e-07 +07:47:37.4 2.2e-05 * 0 * 0 0.810 3.0e-02 55391.00 28.751 25.223 0.004570 1.7e-17 8.53e-21 1.3e-25 * 0 * 0 55391.00 15.92 1.6e-02 * 0 36.00 0 10.20 1.1e+01 T2 55388.8364 3.0e-04 67.8251 1.6e-09 32.3424 1.3e-07 176.20 1.5e-03 7.494e-05 6.0e-10 * 0 * 0 * 0 1.23 GRS:2FGL_J1714.0+0751[naa+12] ar4,pkssw HE[egc+13] - -1241 J1713-3844 J1713-3844 17:13:02.3 1.0e-01 -38:44:29 9.0e+00 * 0 * 0 * 0 51294.00 348.101 0.207 1.600114 3.0e-10 1.77e-13 1.3e-16 * 0 * 0 51294.00 544.00 5.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.43 * pksmb,htru_pks * -1242 J1713-3949 J1713-3949 17:13:28 3.6e+01 -39:49 7.0e+00 * 0 * 0 * 0 51465.00 347.279 -0.491 0.392451 5.0e-07 * 0 * 0 * 0 51465.00 342.00 2.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * misc,pksmb,htru_pks * -1243 J1714-1054 J1714-1054 17:14:40.1 5.0e-03 -10:54:10.9 3.0e-01 * 0 * 0 * 0 53000.00 11.487 15.777 0.696279 9.0e-12 5.88e-17 4.0e-19 * 0 * 0 53000.00 51.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * pkssw * -1244 J1714-3810 J1714-3810 17:14:05.7 1.4e-01 -38:10:30.9 6.0e-01 * 0 * 0 * 0 55226.50 348.681 0.371 3.824936 1.7e-05 5.88e-11 8.0e-13 * 0 * 0 55226.50 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.20 XRS:CXOU_J171405.7-381031,SNR:G348.7+0.3 misc AXP,NRAD -1245 J1715-3247 J1715-3247 17:15:23.4 1.0e-01 -32:47:30 2.0e+00 * 0 * 0 * 0 54244.60 353.211 3.296 1.260214 8.0e-11 9.20e-17 7.0e-18 * 0 * 0 54244.60 164.00 3.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb * - -1246 J1715-3700 J1715-3700 17:15:09.6 2.0e-01 -37:00:04 1.4e+01 * 0 * 0 * 0 51118.00 349.757 0.886 0.779628 4.0e-10 1.46e-16 5.0e-17 * 0 * 0 51118.00 449.00 1.1e+01 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.03 * pksmb,htru_pks * -1247 J1715-3859 J1715-3859 17:15:37.8 3.0e-02 -38:59:25.1 9.0e-01 * 0 * 0 * 0 53097.00 348.194 -0.348 0.928108 3.0e-11 4.40e-15 7.0e-18 * 0 * 0 53097.00 817.00 5.0e+00 * 0 * 0 0.54 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * pksmb,htru_pks * -1248 J1715-3903 J1715-3903 17:15:14.3 1.0e-01 -39:03:02 3.0e+00 * 0 * 0 * 0 51399.00 348.101 -0.321 0.278481 3.0e-11 3.77e-14 1.4e-17 * 0 * 0 51399.00 314.00 6.0e-01 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * pksmb,htru_pks * -1249 J1715-4034 J1715-4034 17:15:40.9 8.0e-02 -40:34:22 4.0e+00 * 0 * 0 * 0 51482.00 346.912 -1.277 2.072153 3.0e-10 3.01e-15 6.0e-17 * 0 * 0 51482.00 254.00 7.0e+00 * 0 * 0 1.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * -1250 J1715-4254 J1715-4254 17:15:10.5 9.0e-02 -42:54:54 4.0e+00 * 0 * 0 * 0 52278.00 344.951 -2.562 0.573745 7.0e-11 8.76e-16 1.0e-17 * 0 * 0 52278.00 407.00 9.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.75 * pksmb * - -1251 J1716-3720 J1716-3720 17:16:11.3 6.0e-02 -37:20:44 3.0e+00 * 0 * 0 * 0 51112.00 349.596 0.519 0.630314 6.0e-11 1.80e-14 1.2e-17 * 0 * 0 51112.00 682.70 1.7e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.38 * pksmb,htru_pks * -1252 J1716-4005 J1716-4005 17:16:42.0 4.0e-02 -40:05:27 2.0e+00 * 0 * 0 * 0 54942.80 347.418 -1.155 0.311813 4.0e-11 2.87e-15 4.0e-17 * 0 * 0 54942.80 435.00 3.0e+00 * 0 * 0 1.37 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.38 * pksmb,htru_pks * -1253 J1716-4111 J1716-4111 17:16:44.3 7.0e-03 -41:11:09.5 6.0e-01 * 0 * 0 * 0 54212.20 346.529 -1.795 1.036067 3.0e-11 2.88e-15 5.0e-18 * 0 * 0 54212.20 245.80 5.0e-01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1254 J1716-4711 J1716-4711 17:16:01.1 7.0e-03 -47:11:00.9 3.0e-01 * 0 * 0 * 0 55185.00 341.549 -5.155 0.555824 6.0e-11 8.33e-16 2.0e-18 * 0 * 0 55185.00 287.06 6.0e-02 * 0 * 0 0.31 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.95 * htru_pks * -1255 J1717+03 J1717+03 17:17:56 1.1e+02 +03:11 8.0e+00 * 0 * 0 * 0 57022.00 24.784 22.203 3.901000 0 * 0 * 0 * 0 57022.00 25.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * ar327 RRAT[dsm+16] - -1256 B1714-34 J1717-3425 17:17:20.2 8.9e-03 -34:24:59.6 3.9e-01 * 0 * 0 * 0 50253.00 352.120 2.025 0.656299 7.0e-11 9.80e-15 5.0e-19 2.800e-26 3.0e-26 * 0 50253.00 587.70 7.0e-01 * 0 * 0 3.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks1,pksmb,htru_pks * -1257 J1717-3737 J1717-3737 17:17:15.9 2.0e-02 -37:37:36 1.0e+00 * 0 * 0 * 0 51324.00 349.491 0.182 0.682419 3.0e-11 5.29e-15 6.0e-18 * 0 * 0 51324.00 525.80 1.2e+00 * 0 * 0 0.69 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pksmb,htru_pks * -1258 J1717-3847 J1717-3847 17:17:18.4 5.0e-01 -38:47:03 2.0e+01 * 0 * 0 * 0 51347.00 348.551 -0.494 1.149499 6.0e-10 8.20e-16 7.0e-17 * 0 * 0 51347.00 707.00 6.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.01 * pksmb,htru_pks * -1259 J1717-3953 J1717-3953 17:17:25.5 2.0e-01 -39:53:55 8.0e+00 * 0 * 0 * 0 53313.00 347.655 -1.157 1.085521 1.8e-10 3.30e-17 1.9e-17 * 0 * 0 53313.00 466.00 8.0e+00 * 0 * 0 1.28 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.63 * pksmb,htru_pks * -1260 J1717-4043 J1717-4043 17:17:47.9 6.0e-02 -40:43:50 2.0e+00 * 0 * 0 * 0 51388.00 347.016 -1.695 0.397857 3.0e-11 1.22e-14 1.3e-17 * 0 * 0 51388.00 452.60 1.2e+00 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.29 * pksmb,htru_pks * - -1261 J1717-40435 J1717-40435 17:17:02.0 4.0e-01 -40:43:31 9.0e+00 * 0 * 0 * 0 51399.00 346.937 -1.574 0.349929 1.0e-10 1.75e-15 7.0e-17 * 0 * 0 51399.00 539.00 5.0e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.60 * pksmb,htru_pks * -1262 B1713-40 J1717-4054 17:17:52.2 7.0e-02 -41:03:17 4.0e+00 * 0 * 0 * 0 56671.00 346.759 -1.893 0.887719 3.0e-11 3.68e-15 6.0e-19 * 0 * 0 55035.00 306.90 1.0e-01 * 0 15.00 0 5.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.26 * pks1,pks70,pksmb * -1263 J1717-5800 J1717-5800 17:17:35.6 2.0e-02 -58:00:05.4 3.0e-01 * 0 * 0 * 0 51650.00 332.668 -11.475 0.321793 6.0e-12 1.96e-16 1.0e-18 * 0 * 0 51650.00 125.22 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.24 * pkssw,htru_pks * -1264 J1718-3714 J1718-3714 17:18:18.5 1.6e-01 -37:14:16 9.0e+00 * 0 * 0 * 0 51799.00 349.928 0.237 1.289379 3.0e-10 2.62e-14 3.0e-17 * 0 * 0 51799.00 833.00 2.1e+01 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb,htru_pks * -1265 J1718-3718 J1718-3718 17:18:10.0 3.0e-01 -37:18:53 1.1e+01 * 0 * 0 * 0 55250.00 349.849 0.216 3.378574 4.0e-10 1.61e-12 5.0e-17 -9.860e-24 1.6e-25 * 0 55250.00 371.10 1.7e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * - -1266 J1718-3825 J1718-3825 17:18:13.5 4.0e-03 -38:25:18.0 1.5e-01 * 0 * 0 * 0 51184.00 348.951 -0.432 0.074670 4.0e-13 1.32e-14 7.0e-20 * 0 * 0 51184.00 247.46 6.0e-02 * 0 * 0 1.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 GRS:2FGL_J1718.3-3827[naa+12],GRS:HESS_J pksmb,htru_pks HE[waa+10] -1267 J1718-41 J1718-41 17:18:12 3.0e+01 -41:07 7.0e+00 * 0 * 0 * 0 56657.00 346.744 -1.979 0.548419 1.2e-06 * 0 * 0 * 0 56657.00 354.00 7.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.60 * htru_pks * -1268 J1718-4539 J1718-4539 17:18:11.9 4.0e-02 -45:39:15.9 9.0e-01 * 0 * 0 * 0 53105.00 343.022 -4.584 0.590473 3.0e-11 7.51e-15 7.0e-18 * 0 * 0 53105.00 254.00 6.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.79 * pksmb * -1269 J1719-1438 J1719-1438 17:19:10.0 5.0e-05 -14:38:00.9 4.0e-03 1.900 4.0e-01 -11.000 2.0e+00 * 0 55235.50 8.858 12.838 0.005790 5.0e-16 8.04e-21 7.0e-24 * 0 * 0 55235.50 36.86 4.0e-03 * 0 * 0 0.42 0 ELL1 * 0 0.0907 1.2e-09 0.0018 7.0e-07 299.74 0.0e+00 8.062e-04 0.0e+00 55235.5165 8.0e-06 -7.000e-04 7.0e-05 4.000e-04 7.0e-04 0.34 * htru_pks * -1270 J1719-23 J1719-23 17:19:37 0 -23:29:07 0 * 0 * 0 * 0 55561.00 1.420 7.853 0.454000 0 * 0 * 0 * 0 55561.00 110.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * htru_pks * - -1271 B1715-40 J1719-4006 17:19:01.7 1.0e-02 -40:06:59.5 4.0e-01 * 0 * 0 * 0 48378.60 347.653 -1.533 0.189094 2.0e-12 1.67e-15 2.0e-19 * 0 * 0 48378.60 386.60 2.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.77 * pks1,pksmb,htru_pks * -1272 J1719-4302 J1719-4302 17:19:48.7 1.0e-02 -43:02:11.4 6.0e-01 * 0 * 0 * 0 51498.00 345.341 -3.325 0.235475 3.0e-11 3.92e-16 9.0e-19 * 0 * 0 51498.00 297.70 6.0e-01 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.41 * pksmb,htru_pks * -1273 J1720+00 J1720+00 17:20:55 1.1e+02 +00:40 8.0e+00 * 0 * 0 * 0 57022.00 22.791 20.349 3.357000 0 * 0 * 0 * 0 57022.00 46.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.56 * ar327 RRAT[dsm+16] -1274 B1718-02 J1720-0212 17:20:57.2 1.1e-02 -02:12:23.9 5.0e-01 -1.000 4.0e+00 -26.000 5.0e+00 * 0 49429.00 20.134 18.936 0.477715 3.0e-12 8.28e-17 1.9e-20 1.800e-28 1.4e-27 * 0 49429.00 66.98 4.0e-02 * 0 22.00 2.0e+00 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.36 * mol2,gb2,pks70,pkssw * -1275 B1717-16 J1720-1633 17:20:25.2 1.0e-02 -16:33:33.7 1.4e+00 * 0 * 0 * 0 49686.00 7.374 11.537 1.565601 3.0e-11 5.80e-15 3.0e-19 7.300e-27 1.8e-27 * 0 49686.00 44.83 3.0e-02 * 0 13.00 2.0e+00 1.10 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.99 * gb3,pks70,pkssw,htru_pks * - -1276 J1720+2150 J1720+2150 17:20:01.3 2.0e-02 +21:50:12.8 4.0e-01 * 0 * 0 * 0 51796.00 43.957 29.371 1.615664 7.0e-11 7.40e-16 2.0e-18 * 0 * 0 51796.00 40.72 3.5e-02 * 0 2.40 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.58 * ar4 * -1277 J1720-2446 J1720-2446 17:20:22.4 6.0e-02 -24:46:27 1.2e+01 * 0 * 0 * 0 55326.00 0.443 6.986 0.874265 8.0e-11 5.93e-16 4.0e-18 * 0 * 0 55326.00 103.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * htru_pks * -1278 B1717-29 J1720-2933 17:20:34.1 1.0e-02 -29:33:16.2 1.1e+00 * 0 * 0 * 0 49863.00 356.505 4.248 0.620448 1.6e-12 7.46e-16 1.6e-20 -1.510e-26 8.0e-28 * 0 49863.00 42.64 3.0e-02 * 0 32.00 4.0e+00 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * jb1,mol2,pks70,pksmb,htru_pks * -1279 J1720-36 J1720-36 17:20:54 3.0e+01 -36:53 7.0e+00 * 0 * 0 * 0 56657.00 350.515 0.016 0.092132 3.0e-08 * 0 * 0 * 0 56657.00 341.00 1.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.78 * htru_pks * -1280 J1720-3659 J1720-3659 17:20:01.9 9.0e-03 -36:59:06.5 4.0e-01 * 0 * 0 * 0 51111.00 350.332 0.100 0.351125 5.0e-12 3.27e-17 9.0e-19 * 0 * 0 51111.00 381.60 5.0e-01 * 0 * 0 0.74 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * - -1281 B1718-19 J1721-1936 17:21:01.4 4.3e-02 -19:36:51 7.2e+00 * 0 * 0 * 0 50434.00 4.857 9.738 1.004037 1.9e-10 1.62e-15 1.6e-18 2.900e-25 5.0e-26 * 0 50434.00 75.70 3.0e-01 * 0 0.50 0 0.30 0 ELL1 * 0 0.2583 3.0e-08 0.3533 1.0e-03 231.34 0.0e+00 6.403e-03 0.0e+00 48455.0237 1.7e-04 -5.000e-03 9.0e-07 -4.000e-03 6.0e-07 8.60 GC:NGC6342 misc,pkssw * -1282 J1721-1939 J1721-1939 17:21:46.6 4.0e-02 -19:39:49 5.0e+00 * 0 * 0 * 0 51500.00 4.914 9.563 0.404040 1.5e-11 1.28e-16 1.5e-18 * 0 * 0 51500.00 103.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.62 * pkssw,htru_pks * -1283 J1721-2457 J1721-2457 17:21:05.4 3.0e-04 -24:57:06.1 5.0e-02 1.900 1.2e+00 -25.000 1.6e+01 * 0 55000.00 0.387 6.751 0.003497 1.9e-16 5.54e-21 7.0e-24 * 0 * 0 53400.00 47.76 1.9e-02 * 0 * 0 0.58 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * pkssw,htru_pks * -1284 J1721+35 J1721+35 17:21:57 4.0e+01 +35:24 1.0e+01 * 0 * 0 * 0 57022.00 59.326 32.702 0.821900 0 * 0 * 0 * 0 57022.00 22.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.95 * misc * -1285 B1718-35 J1721-3532 17:21:32.7 1.6e-02 -35:32:49.6 1.1e+00 * 0 * 0 * 0 51374.00 351.687 0.670 0.280424 6.0e-12 2.52e-14 8.0e-20 6.900e-25 5.0e-26 * 0 51374.00 496.00 4.0e-01 * 0 * 0 11.00 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * pks1,pksmb,htru_pks * - -1286 B1718-32 J1722-3207 17:22:02.9 2.3e-03 -32:07:45.3 2.2e-01 -1.000 5.0e+00 -40.000 2.7e+01 * 0 49894.00 354.561 2.525 0.477158 4.0e-12 6.46e-16 3.0e-20 8.900e-29 3.0e-27 * 0 49894.00 126.06 8.0e-03 * 0 61.00 4.0e+00 3.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.93 * jb1,mol2,pks1,pks70,pksmb,htru_pks * -1287 B1718-36 J1722-3632 17:22:09.8 8.0e-03 -36:32:53.3 5.0e-01 * 0 * 0 * 0 48378.60 350.934 -0.001 0.399183 4.0e-12 4.46e-15 3.0e-19 * 0 * 0 48378.60 416.20 2.0e-01 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.99 * pks1,pksmb,htru_pks * -1288 B1719-37 J1722-3712 17:22:59.1 4.0e-02 -37:12:03.7 6.0e-01 * 0 * 0 * 0 48381.00 350.490 -0.507 0.236173 4.0e-12 1.09e-14 3.0e-19 * 0 * 0 48381.00 99.49 3.0e-02 * 0 25.00 0 3.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * mol2,pks1,pks70,pksmb,htru_pks * -1289 J1722-4400 J1722-4400 17:22:46.5 1.2e-02 -44:00:33.2 3.0e-01 * 0 * 0 * 0 53058.00 344.843 -4.319 0.218554 1.5e-12 3.74e-16 4.0e-19 * 0 * 0 53058.00 219.30 5.0e-01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.07 * pksmb * -1290 J1723-2837 J1723-2837 17:23:23.1 8.0e-04 -28:37:57.1 1.1e-01 * 0 * 0 * 0 55667.00 357.616 4.260 0.001856 1.1e-14 7.54e-21 5.0e-22 * 0 * 0 55667.00 19.69 1.3e-02 * 0 * 0 1.10 0 ELL1 * 0 0.6154 8.0e-09 1.2258 9.0e-06 * 0 * 0 55425.3205 2.0e-06 * 0 * 0 0.72 OPT:2MASS_J17232318-2837571[cls+13] pksmb * - -1291 J1723-2852 J1723-2852 17:23:58.2 3.0e-01 -28:52:51 1.5e+01 * 0 * 0 * 0 54948.60 357.482 4.015 0.625034 1.2e-09 9.00e-16 1.6e-15 * 0 * 0 54948.60 172.00 6.0e+00 * 0 * 0 0.13 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.76 * pksmb * -1292 J1723-3659 J1723-3659 17:23:07.5 6.0e-03 -36:59:13.9 3.0e-01 * 0 * 0 * 0 51118.00 350.682 -0.409 0.202722 1.7e-12 8.01e-15 4.0e-19 * 0 * 0 51118.00 254.40 1.0e-01 * 0 * 0 1.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * pksmb,htru_pks * -1293 J1723-38 J1723-38 17:23 5.0e+00 -38:20 7.0e+00 * 0 * 0 * 0 56657.00 349.557 -1.149 0.765796 1.0e-10 * 0 * 0 * 0 56657.00 472.00 2.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.88 * htru_pks * -1294 J1724-3149 J1724-3149 17:24:44.8 7.0e-02 -31:49:04 4.0e+00 * 0 * 0 * 0 51995.00 355.142 2.228 0.948237 9.0e-11 7.25e-15 4.0e-17 * 0 * 0 51995.00 409.00 4.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.47 * pksmb,htru_pks * -1295 J1724-35 J1724-35 17:24:43 3.6e+01 -35:49 7.0e+00 * 0 * 0 * 0 54776.00 351.829 -0.013 1.421990 2.0e-05 * 0 * 0 * 0 54776.00 554.90 9.9e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.33 * pksmb RRAT - -1296 J1724-3505 J1724-3505 17:24:47.8 1.7e-01 -35:05:36 7.0e+00 * 0 * 0 * 0 51074.00 352.437 0.380 1.221708 3.0e-10 2.11e-14 9.0e-17 * 0 * 0 51074.00 875.00 3.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.78 * pksmb,htru_pks * -1297 J1724-4500 J1724-4500 17:24:25.8 3.0e-01 -45:00:15 4.0e+00 * 0 * 0 * 0 53255.00 344.182 -5.121 1.309109 3.0e-10 3.51e-15 1.2e-16 * 0 * 0 53255.00 182.00 3.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * pksmb * -1298 J1725-0732 J1725-0732 17:25:12.2 6.0e-03 -07:32:59.2 3.0e-01 * 0 * 0 * 0 52820.58 15.866 15.324 0.239919 4.0e-12 4.30e-16 3.0e-19 * 0 * 0 52820.58 58.91 7.0e-02 * 0 * 0 0.11 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * misc * -1299 J1725-2852 J1725-2852 17:25:09.9 3.0e-01 -28:52:22 1.7e+01 * 0 * 0 * 0 52197.00 357.636 3.803 1.257788 1.0e-08 1.99e-15 1.5e-16 * 0 * 0 52197.00 161.00 1.0e+01 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.25 * pksmb * -1300 J1725-3546 J1725-3546 17:25:42.2 3.0e-01 -35:46:16 7.0e+00 * 0 * 0 * 0 51074.00 351.979 -0.153 1.032471 4.0e-10 1.50e-14 8.0e-17 * 0 * 0 51074.00 744.00 4.0e+00 * 0 * 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * pksmb,htru_pks * - -1301 J1725-3848 J1725-3848 17:25:00.1 5.0e-01 -38:48:36 1.4e+01 * 0 * 0 * 0 51399.00 349.384 -1.741 2.062386 1.3e-09 2.30e-14 5.0e-16 * 0 * 0 51399.00 230.00 1.1e+01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.14 * pksmb * -1302 J1725-3853 J1725-3853 17:25:27.2 8.0e-02 -38:53:04.2 5.0e-02 * 0 * 0 * 0 55846.00 349.372 -1.856 0.004792 3.0e-12 5.00e-20 3.0e-20 * 0 * 0 55846.00 158.20 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pksmb * -1303 J1725-4043 J1725-4043 17:25:41.4 4.0e-02 -40:43:11 2.0e+00 * 0 * 0 * 0 51728.00 347.874 -2.920 1.465071 9.0e-11 2.79e-15 3.0e-17 * 0 * 0 51728.00 203.00 3.0e+00 * 0 * 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * pksmb,htru_pks * -1304 J1726-00 J1726-00 17:26:23 3.0e+01 -00:15 8.0e+00 * 0 * 0 * 0 56359.00 22.638 18.710 1.308600 0 * 0 * 0 * 0 56359.00 57.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.05 * ar327 * -1305 J1726-31 J1726-31 17:26:36 3.0e+01 -31:57 7.0e+00 * 0 * 0 * 0 51026.40 355.252 1.828 0.123470 9.0e-08 * 0 * 0 * 0 51026.40 264.40 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.14 * pksmb * - -1306 J1726-3530 J1726-3530 17:26:07.5 6.0e-02 -35:29:58 4.0e+00 * 0 * 0 * 0 51522.00 352.252 -0.072 1.110132 5.0e-11 1.22e-12 4.0e-18 * 0 * 0 51522.00 718.00 4.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.72 SNR:G352.2-0.1(?)[mbc+02] pksmb,htru_pks * -1307 J1726-3635 J1726-3635 17:26:49.6 3.0e-02 -36:35:45.6 1.3e+00 * 0 * 0 * 0 51111.00 351.422 -0.802 0.287432 1.3e-11 1.44e-15 3.0e-18 * 0 * 0 51111.00 539.20 7.0e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.84 * pksmb * -1308 J1726-4006 J1726-4006 17:26:33.3 7.0e-02 -40:06:02 4.0e+00 * 0 * 0 * 0 52475.00 348.481 -2.711 0.882778 1.0e-10 3.33e-15 4.0e-17 * 0 * 0 52475.00 277.00 3.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.40 * pksmb,htru_pks * -1309 J1727-2739 J1727-2739 17:27:30.9 1.2e-01 -27:39:00.5 1.7e+01 * 0 * 0 * 0 52263.00 358.943 4.052 1.293100 1.6e-10 1.10e-15 3.0e-17 * 0 * 0 52263.00 147.00 4.0e+00 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb,htru_pks * -1310 J1727-29 J1727-29 17:27:19 3.3e+01 -29:59 7.0e+00 * 0 * 0 * 0 * 356.973 2.795 * 0 * 0 * 0 * 0 * 93.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * pksmb RRAT - -1311 J1727-2946 J1727-2946 17:27:15.0 1.7e-04 -29:46:36.7 1.7e-02 0.600 9.0e-01 0.000 8.0e+00 * 0 54723.00 357.137 2.921 0.027083 1.2e-15 2.46e-19 3.0e-23 * 0 * 0 54723.00 60.74 3.0e-02 * 0 * 0 0.25 0 BT 54711.4717 3.0e-05 40.3077 3.0e-08 56.5325 5.0e-06 320.40 2.0e-04 4.563e-02 1.6e-07 * 0 * 0 * 0 1.88 * pksmb * -1312 B1726-00 J1728-0007 17:28:34.8 6.7e-03 -00:07:45.0 2.9e-01 * 0 * 0 * 0 50089.00 23.029 18.287 0.386004 1.5e-12 1.12e-15 1.4e-20 -1.190e-26 2.0e-27 * 0 50089.00 41.09 3.0e-02 * 0 11.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * gb3,pkssw * -1313 J1728-3733 J1728-3733 17:28:46.2 1.6e-01 -37:33:08 9.0e+00 * 0 * 0 * 0 51112.00 350.842 -1.656 0.615538 1.6e-10 7.20e-17 3.1e-17 * 0 * 0 51112.00 281.50 7.0e-01 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pksmb * -1314 J1728-4028 J1728-4028 17:28:27.6 1.7e-01 -40:28:10 4.0e+00 * 0 * 0 * 0 52077.00 348.375 -3.218 0.866343 4.0e-09 2.33e-16 6.0e-17 * 0 * 0 52077.00 231.00 1.0e+01 * 0 * 0 0.90 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * pksmb,htru_pks * -1315 J1729-2117 J1729-2117 17:29:10.8 6.0e-03 -21:17:28 1.0e+00 * 0 * 0 * 0 55505.00 4.496 7.222 0.066293 4.0e-13 1.72e-19 7.0e-21 * 0 * 0 55505.00 34.49 4.0e-02 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.97 * htru_pks * - -1316 J1730-2304 J1730-2304 17:30:21.6 8.0e-05 -23:04:31.1 2.0e-02 20.264 1.9e-02 8.300 8.3e+00 1.190 2.7e-01 54500.00 3.137 6.023 0.008123 4.0e-17 2.02e-20 3.0e-25 * 0 * 0 54500.00 9.62 0 0.001 5.0e-05 43.00 6.0e+00 3.90 1.9e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.62 XRS:[pb15] pks70,pkssw,pksmb,htru_pks HE[lsg+15] -1317 J1730-2900 J1730-2900 17:30:08.2 1.0e-01 -29:00:46 1.2e+01 * 0 * 0 * 0 53128.00 358.123 2.819 1.538427 3.0e-10 8.85e-15 8.0e-17 * 0 * 0 53128.00 289.00 5.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.06 * pksmb * -1318 B1727-33 J1730-3350 17:30:32.5 1.2e-02 -33:50:39.4 1.1e+00 * 0 * 0 * 0 50198.00 354.133 0.090 0.139460 1.8e-11 8.48e-14 1.8e-19 6.190e-23 4.0e-25 * 0 50198.00 261.29 4.0e-02 * 0 9.20 0 3.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 * pks1,pksmb,htru_pks * -1319 J1730-3353 J1730-3353 17:30:55.5 1.0e-01 -33:53:38 1.2e+01 * 0 * 0 * 0 51672.00 354.135 -0.004 3.270242 5.0e-10 2.20e-14 4.0e-17 * 0 * 0 51672.00 256.00 1.0e+01 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * -1320 J1730-34 J1730-34 17:30:06 3.0e+01 -34:48 7.0e+00 * 0 * 0 * 0 56657.00 353.285 -0.360 0.099830 1.5e-07 * 0 * 0 * 0 56657.00 628.00 5.0e+00 * 0 * 0 0.03 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * htru_pks * - -1321 J1731-1847 J1731-1847 17:31:17.6 1.7e-05 -18:47:32.6 3.0e-03 -1.700 3.0e-01 -6.000 3.0e+00 * 0 55215.10 6.890 8.151 0.002345 1.1e-16 2.54e-20 5.0e-24 * 0 * 0 55215.10 106.47 6.0e-04 * 0 * 0 0.37 0 BTX 55132.4363 1.0e-03 0.3111 1.0e-09 0.1202 6.0e-07 144.00 1.2e+01 2.900e-05 6.0e-06 * 0 * 0 * 0 4.78 XRS:[pb15] htru_pks * -1322 J1731-3123 J1731-3123 17:31:00.5 3.0e-02 -31:23:43 4.0e+00 * 0 * 0 * 0 51702.00 356.233 1.354 0.753048 3.0e-11 1.68e-15 3.0e-18 * 0 * 0 51702.00 354.00 3.0e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.17 * pksmb,htru_pks * -1323 J1731-3322 J1731-3322 17:31:14.3 1.0e-01 -33:22:45 2.0e+00 * 0 * 0 * 0 56716.00 354.601 0.225 0.544671 4.0e-11 2.81e-14 1.8e-21 * 0 * 0 56716.00 877.40 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * htru_pks * -1324 B1727-47 J1731-4744 17:31:42.1 5.0e-03 -47:44:34.5 1.4e-01 73.000 5.0e+00 -127.000 1.3e+01 * 0 50059.00 342.565 -7.669 0.829829 5.0e-11 1.64e-13 4.0e-18 5.600e-24 1.3e-24 * 0 50939.00 123.06 4.0e-03 * 0 190.00 0 12.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * mol1,mol2,pks70,pkssw,htru_pks * -1325 J1732-1930 J1732-1930 17:32:20.0 3.1e-02 -19:30:09 6.8e+00 * 0 * 0 * 0 51197.00 6.417 7.563 0.483770 8.0e-12 1.82e-16 1.0e-19 5.800e-27 1.3e-26 * 0 51197.00 72.43 1.4e-01 * 0 11.00 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * pks70,htru_pks * - -1326 J1732-3131 J1732-3131 17:32:33.5 3.0e-02 -31:31:23 2.0e+00 * 0 * 0 * 0 54933.00 356.307 1.007 0.196543 2.0e-11 2.80e-14 1.2e-18 * 0 * 0 54933.00 15.44 3.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.64 GRS:2FGL_J1732.5-3131[naa+12] FermiBlind HE -1327 J1732-3426 J1732-3426 17:32:07.1 7.0e-02 -34:26:05 3.0e+00 * 0 * 0 * 0 52359.00 353.818 -0.507 0.332887 4.0e-11 4.02e-16 9.0e-18 * 0 * 0 52359.00 513.50 1.8e+00 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pksmb,htru_pks * -1328 J1732-35 J1732-35 17:32:30 2.4e+01 -35:05 7.0e+00 * 0 * 0 * 0 56657.00 353.318 -0.926 0.126690 5.0e-12 * 0 * 0 * 0 56657.00 340.00 2.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * htru_pks * -1329 J1732-3729 J1732-3729 17:32:20.8 5.0e-02 -37:29:05 3.0e+00 * 0 * 0 * 0 51724.00 351.288 -2.211 2.184001 1.5e-10 1.30e-15 5.0e-17 * 0 * 0 51724.00 317.00 3.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.93 * pksmb * -1330 B1729-41 J1732-4128 17:32:50.0 1.0e-01 -41:28:48 4.0e+00 * 0 * 0 * 0 43565.05 347.980 -4.462 0.627981 3.0e-10 1.28e-14 1.2e-17 * 0 * 0 43565.05 195.30 4.0e-01 * 0 9.00 0 0.63 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.23 * mol2,pksmb,htru_pks * - -1331 J1732-4156 J1732-4156 17:32:48.8 4.0e-02 -41:56:29.6 1.6e+00 * 0 * 0 * 0 51911.00 347.589 -4.709 0.323434 1.3e-11 6.61e-16 6.0e-18 * 0 * 0 51911.00 228.70 1.5e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.53 * pksmb * -1332 J1732-5049 J1732-5049 17:32:47.7 1.9e-05 -50:49:00.1 4.0e-04 -0.410 9.0e-02 -9.870 1.9e-01 * 0 54500.00 340.029 -9.454 0.005313 1.2e-16 1.42e-20 1.7e-24 * 0 * 0 54500.00 56.84 0 0.001 1.2e-04 * 0 1.70 3.0e-01 ELL1 * 0 5.2630 5.0e-10 3.9829 4.0e-07 165.83 0.0e+00 8.498e-06 0.0e+00 51396.3661 3.0e-07 2.080e-06 1.6e-07 -8.240e-06 1.6e-07 1.87 GRS:[hsg+14] pkssw,htru_pks HE -1333 B1730-22 J1733-2228 17:33:26.4 3.7e-02 -22:28:37 1.1e+01 * 0 * 0 * 0 48712.00 4.029 5.749 0.871683 3.0e-12 4.27e-17 1.0e-20 -2.200e-28 1.7e-28 * 0 48712.00 41.14 3.0e-02 * 0 25.00 3.0e+00 2.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.10 * jb1,mol2,pks70,pkssw,pksmb,htru_pks * -1334 J1733-2533 J1733-2533 17:33:25.8 8.0e-02 -25:33:11 1.8e+01 * 0 * 0 * 0 53070.00 1.428 4.092 0.659794 4.0e-11 2.10e-15 5.0e-18 * 0 * 0 53070.00 242.00 5.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.03 * pksmb * -1335 J1733-2837 J1733-2837 17:33:33.9 5.0e-02 -28:37:33 8.0e+00 * 0 * 0 * 0 53128.00 358.857 2.402 0.768185 6.0e-11 1.11e-15 8.0e-18 * 0 * 0 53128.00 225.00 5.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 * pksmb * - -1336 J1733-3030 J1733-3030 17:33:58.8 6.0e-02 -30:30:49 7.0e+00 * 0 * 0 * 0 51914.00 357.320 1.301 0.362052 1.4e-11 1.65e-15 1.1e-18 * 0 * 0 51914.00 636.00 3.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 20.58 * pksmb,htru_pks * -1337 J1733-3322 J1733-3322 17:33:55.2 8.0e-02 -33:22:03 4.0e+00 * 0 * 0 * 0 51250.00 354.917 -0.238 1.245915 8.0e-11 4.10e-15 3.0e-17 * 0 * 0 51250.00 524.00 1.7e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * -1338 B1730-37 J1733-3716 17:33:26.7 1.8e-03 -37:16:55.2 9.0e-02 4.000 9.0e+00 63.000 3.4e+01 * 0 54433.00 351.577 -2.284 0.337594 1.2e-11 1.50e-14 1.9e-19 * 0 * 0 54433.00 153.18 8.0e-02 * 0 * 0 3.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * pks1,pksmb,htru_pks * -1339 J1733-4005 J1733-4005 17:33:58.6 3.0e-02 -40:05:39.7 1.5e+00 * 0 * 0 * 0 52385.00 349.266 -3.895 0.561778 1.3e-11 3.62e-15 3.0e-18 * 0 * 0 52385.00 317.80 1.1e+00 * 0 * 0 0.49 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.19 * pksmb,htru_pks * -1340 J1733-5515 J1733-5515 17:33:00.4 3.0e-01 -55:15:40 5.0e+00 * 0 * 0 * 0 55194.00 336.188 -11.801 1.011234 8.0e-09 4.00e-16 2.0e-16 * 0 * 0 55194.00 83.90 8.0e-01 * 0 * 0 0.38 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.22 * htru_pks * - -1341 B1732-02 J1734-0212 17:34:45.6 2.5e-02 -02:12:39.1 1.4e+00 * 0 * 0 * 0 49699.00 21.904 15.928 0.839394 9.0e-12 4.21e-16 8.0e-20 3.200e-27 1.9e-27 * 0 49699.00 65.05 9.0e-02 * 0 5.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * gb2 * -1342 J1734-2415 J1734-2415 17:34:41.6 3.0e-01 -24:15:20 9.0e+01 * 0 * 0 * 0 53164.00 2.678 4.551 0.612524 1.2e-10 1.05e-15 1.2e-17 * 0 * 0 53164.00 126.30 7.0e-01 * 0 * 0 0.29 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pksmb,htru_pks * -1343 J1734-3058 J1734-3058 17:34:50.8 7.0e-03 -30:58:41.4 8.0e-01 * 0 * 0 * 0 56400.00 357.031 0.893 0.541286 5.0e-12 1.62e-17 5.0e-19 * 0 * 0 56400.00 260.00 1.4e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * htru_pks * -1344 J1734-3333 J1734-3333 17:34:26.9 2.0e-01 -33:33:20 1.0e+01 * 0 * 0 * 0 53145.00 354.819 -0.433 1.169341 5.0e-09 2.28e-12 5.0e-17 2.800e-24 6.0e-25 * 0 53145.00 578.00 9.0e+00 * 0 * 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 * pksmb,htru_pks HE[oklk10] -1345 J1735-0243 J1735-0243 17:35:48.1 2.0e-01 -02:43:48 5.0e+00 * 0 * 0 * 0 54827.00 21.564 15.448 0.782887 5.0e-10 6.32e-16 1.2e-17 * 0 * 0 54827.00 55.40 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * gb350 * - -1346 B1732-07 J1735-0724 17:35:04.9 1.1e-03 -07:24:52.4 7.0e-02 -2.400 1.7e+00 28.000 3.0e+00 * 0 49887.00 17.271 13.284 0.419335 1.1e-12 1.21e-15 9.0e-21 4.700e-27 1.2e-27 * 0 49887.00 73.51 4.0e-03 * 0 18.00 2.0e+00 1.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * misc,mol2,gb2,pks70,pkssw,htru_pks * -1347 J1735-3258 J1735-3258 17:35:56.9 3.0e-01 -32:58:19 1.9e+01 * 0 * 0 * 0 51573.00 355.479 -0.381 0.350963 1.2e-10 2.61e-14 7.0e-17 * 0 * 0 51573.00 758.00 3.0e+00 * 0 * 0 0.46 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.97 * pksmb * -1348 J1736+05 J1736+05 17:36:54 1.6e+01 +05:48 5.0e+00 * 0 * 0 * 0 49717.00 29.592 19.208 0.999245 3.0e-06 * 0 * 0 * 0 49717.00 42.00 8.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * ar4,pkssw * -1349 J1736-2457 J1736-2457 17:36:45.4 8.0e-02 -24:57:50 2.2e+01 * 0 * 0 * 0 53095.00 2.331 3.775 2.642223 1.4e-10 3.43e-15 3.0e-17 * 0 * 0 53095.00 170.00 4.0e+00 * 0 * 0 0.84 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * pksmb,htru_pks * -1350 J1736-2819 J1736-2819 17:36:24.7 9.0e-02 -28:19:42 1.6e+01 * 0 * 0 * 0 51716.00 359.446 2.036 1.592419 1.3e-10 1.49e-14 1.3e-17 * 0 * 0 51716.00 261.00 1.1e+01 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * pksmb * - -1351 J1736-2843 J1736-2843 17:36:42.5 1.6e-01 -28:43:51 2.2e+01 * 0 * 0 * 0 52344.00 359.142 1.764 6.445036 1.7e-09 3.00e-14 1.7e-16 * 0 * 0 52344.00 331.00 1.0e+01 * 0 * 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.38 * pksmb,htru_pks * -1352 J1736-3511 J1736-3511 17:36:02.7 3.0e-01 -35:11:56 1.1e+01 * 0 * 0 * 0 51386.00 353.614 -1.598 0.502803 1.3e-10 1.57e-15 8.0e-17 * 0 * 0 51386.00 106.00 3.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * pksmb,htru_pks * -1353 J1737-0811 J1737-0811 17:37:47.1 1.4e-04 -08:11:08.8 5.0e-03 * 0 * 0 * 0 54987.00 16.933 12.318 0.004175 8.0e-16 7.93e-21 8.0e-23 * 0 * 0 54987.00 55.31 3.0e-03 * 0 * 0 * 0 BT 54696.8798 2.0e-09 79.5174 2.0e-06 9.3328 3.0e-06 49.80 9.0e-01 5.380e-05 8.0e-07 * 0 * 0 * 0 0.21 * gb350 * -1354 J1737-3102 J1737-3102 17:37:33.7 4.0e-02 -31:02:00.5 4.1e+00 * 0 * 0 * 0 51112.00 357.298 0.373 0.768672 5.0e-11 3.73e-14 6.0e-18 * 0 * 0 51112.00 280.00 6.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 * pksmb,htru_pks * -1355 J1737-3137 J1737-3137 17:37:04.2 4.0e-02 -31:37:21 3.0e+00 * 0 * 0 * 0 51234.00 356.744 0.145 0.450432 7.0e-11 1.39e-13 3.0e-18 7.200e-24 1.4e-24 * 0 51234.00 488.10 4.0e-01 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.16 * pksmb,htru_pks * - -1356 J1737-3320 J1737-3320 17:37:10.5 5.0e-02 -33:20:20 5.0e+00 * 0 * 0 * 0 51887.00 355.308 -0.795 0.816273 6.0e-11 2.25e-15 6.0e-18 * 0 * 0 51887.00 804.00 5.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.29 * pksmb,htru_pks * -1357 B1734-35 J1737-3555 17:37:40.0 6.0e-03 -35:55:43.8 4.0e-01 * 0 * 0 * 0 48378.60 353.175 -2.268 0.397585 3.0e-12 6.12e-15 2.0e-19 * 0 * 0 48378.60 89.41 4.0e-02 * 0 * 0 0.74 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * pks1,pksmb,htru_pks * -1358 J1738+0333 J1738+0333 17:38:53.9 3.0e-07 +03:33:10.8 3.0e-05 7.037 5.0e-03 5.073 1.2e-02 0.680 5.0e-02 54600.00 27.721 17.742 0.005850 1.1e-18 2.41e-20 1.4e-25 * 0 * 0 54600.00 33.77 4.0e-05 0.001 3.0e-05 * 0 0.67 0 ELL1 * 0 0.3548 1.3e-12 0.3434 1.7e-08 335.70 0.0e+00 3.401e-07 0.0e+00 54600.2004 5.0e-08 -1.400e-07 1.1e-07 3.100e-07 1.1e-07 1.47 OPT:[avk+12] pkssw * -1359 J1738+04 J1738+04 17:38:25 1.1e+02 +04:20 8.0e+00 * 0 * 0 * 0 57022.00 28.392 18.207 1.391790 0 * 0 * 0 * 0 57022.00 23.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * ar327 * -1360 J1738-2330 J1738-2330 17:38:08.8 3.0e-01 -23:30:47 1.0e+02 * 0 * 0 * 0 53206.00 3.731 4.280 1.978847 4.0e-11 8.56e-15 4.0e-18 * 0 * 0 53206.00 99.30 1.8e+00 * 0 * 0 1.05 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * pksmb,htru_pks * - -1361 J1738-2647 J1738-2647 17:38:05.0 4.0e-02 -26:47:46 2.6e+01 * 0 * 0 * 0 52359.00 0.940 2.544 0.349591 5.0e-11 3.15e-15 1.5e-17 * 0 * 0 52359.00 182.20 1.6e+00 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * pksmb,htru_pks * -1362 J1738-2736 J1738-2736 17:38:14.6 5.0e-03 -27:36:25.8 9.0e-01 * 0 * 0 * 0 56315.00 0.272 2.081 0.627716 1.9e-11 4.62e-15 7.0e-19 * 0 * 0 56315.00 323.60 7.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.98 * htru_pks * -1363 J1738-2955 J1738-2955 17:38:52.2 1.0e-01 -29:55:51 1.0e+01 * 0 * 0 * 0 51528.00 358.380 0.724 0.443398 4.0e-10 8.19e-14 6.0e-18 3.400e-24 1.0e-23 * 0 51528.00 223.40 6.0e-01 * 0 * 0 0.29 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb * -1364 J1738-3107 J1738-3107 17:38:47.4 3.0e-01 -31:07:44 1.4e+01 * 0 * 0 * 0 52333.00 357.358 0.100 0.549498 1.3e-10 2.96e-16 7.0e-17 * 0 * 0 52333.00 735.00 1.0e+01 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb,htru_pks * -1365 B1735-32 J1738-3211 17:38:54.1 8.6e-03 -32:11:53.6 5.8e-01 * 0 * 0 * 0 49595.00 356.466 -0.491 0.768499 3.0e-12 7.95e-16 1.8e-20 3.700e-28 5.0e-28 * 0 49595.00 49.59 4.0e-02 * 0 2.90 0 2.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 * jb2,pks1,pksmb,htru_pks * - -1366 J1738-3316 J1738-3316 17:38:34.4 6.0e-02 -33:16:01.6 4.9e+00 * 0 * 0 * 0 51702.00 355.525 -1.003 0.730373 5.0e-11 8.86e-17 4.0e-18 * 0 * 0 51702.00 273.00 4.0e+00 * 0 * 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * pksmb * -1367 J1739+0612 J1739+0612 17:39:17.9 4.0e-03 +06:12:28.4 1.0e+00 * 0 * 0 * 0 53000.00 30.261 18.858 0.234169 3.0e-12 1.56e-16 1.2e-19 * 0 * 0 53000.00 101.50 1.3e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pkssw * -1368 J1739-1313 J1739-1313 17:39:57.8 6.0e-03 -13:13:18.6 4.0e-01 * 0 * 0 * 0 51500.00 12.794 9.297 1.215698 9.0e-12 8.17e-17 9.0e-19 * 0 * 0 51500.00 58.20 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.73 * pkssw,htru_pks * -1369 J1739-2521 J1739-2521 17:39:32.6 5.4e-02 -25:21:56 1.5e+01 * 0 * 0 * 0 55631.00 2.327 3.027 1.818461 2.4e-10 2.40e-16 2.0e-17 * 0 * 0 55631.00 186.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * pksmb RRAT -1370 B1736-29 J1739-2903 17:39:34.2 4.1e-03 -29:03:03.5 5.4e-01 * 0 * 0 * 0 49448.00 359.206 1.064 0.322882 9.0e-12 7.88e-15 7.0e-20 6.300e-26 1.2e-26 * 0 49448.00 138.55 2.0e-02 * 0 * 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.91 * jb2,pks1,pksmb,htru_pks * - -1371 J1739-3023 J1739-3023 17:39:39.8 2.0e-02 -30:23:12 2.0e+00 * 0 * 0 * 0 51497.00 358.086 0.336 0.114368 4.0e-11 1.14e-14 1.2e-19 4.500e-24 1.8e-24 * 0 51497.00 170.50 1.0e-01 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.07 * pksmb,htru_pks HE[lsg+15] -1372 J1739-3049 J1739-3049 17:39:23.2 6.0e-02 -30:49:40 5.0e+00 * 0 * 0 * 0 51116.00 357.680 0.152 0.239317 1.8e-11 2.18e-15 1.8e-18 * 0 * 0 51116.00 573.20 2.1e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1373 B1736-31 J1739-3131 17:39:24.3 5.5e-03 -31:31:15.3 5.0e-01 * 0 * 0 * 0 49138.00 357.096 -0.220 0.529441 1.5e-10 1.86e-14 1.5e-18 -3.000e-25 9.0e-26 * 0 49138.00 600.10 1.2e+00 * 0 * 0 4.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * jb2,pks1,pksmb,htru_pks * -1374 J1739-3159 J1739-3159 17:39:48.6 8.0e-02 -31:59:49 9.0e+00 * 0 * 0 * 0 51158.00 356.739 -0.547 0.877561 1.5e-10 1.97e-16 1.5e-17 * 0 * 0 51158.00 337.00 5.0e+00 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.80 * pksmb,htru_pks * -1375 J1739-3951 J1739-3951 17:39:38.2 4.0e-02 -39:52:00.3 8.0e-01 * 0 * 0 * 0 52897.00 350.039 -4.690 0.341772 1.0e-11 1.99e-17 5.0e-18 * 0 * 0 52897.00 24.60 4.0e-01 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.78 * pksmb * - -1376 J1740+1000 J1740+1000 17:40:25.9 5.0e-03 +10:00:06.3 2.0e-01 * 0 * 0 * 0 51662.00 34.011 20.268 0.154087 2.0e-12 2.15e-14 2.0e-19 * 0 * 0 51662.00 23.90 2.5e-02 * 0 3.10 2.0e-01 9.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.23 * misc,pkssw * -1377 B1737+13 J1740+1311 17:40:07.3 1.2e-03 +13:11:56.6 3.0e-02 -22.000 2.0e+00 -20.000 2.0e+00 * 0 48262.00 37.085 21.679 0.803050 4.0e-12 1.45e-15 1.2e-20 1.660e-26 4.0e-28 * 0 48262.00 48.67 4.3e-04 * 0 24.00 2.0e+00 3.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * mol2,gb3,pkssw,gb4 * -1378 J1740-2540 J1740-2540 17:40:45.3 6.0e-02 -25:40:19 1.8e+01 * 0 * 0 * 0 52162.00 2.212 2.633 1.692656 9.0e-11 1.85e-15 1.2e-17 * 0 * 0 52162.00 333.00 5.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.04 * pksmb * -1379 B1737-30 J1740-3015 17:40:33.8 1.0e-02 -30:15:43.5 2.0e-01 * 0 * 0 * 0 54780.00 358.294 0.238 0.606887 4.0e-11 4.66e-13 1.2e-17 * 0 * 0 54780.00 151.96 1.0e-02 * 0 24.60 0 6.40 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * jb2,pks1,pks70,pksmb,htru_pks * -1380 J1740-3052 J1740-3052 17:40:50.0 5.0e-03 -30:52:04.3 2.1e-01 * 0 * 0 * 0 53191.00 357.811 -0.132 0.570313 3.0e-12 2.55e-14 9.5e-20 * 0 * 0 53191.00 738.78 8.0e-02 * 0 * 0 0.70 2.0e-01 MSS 52970.7198 1.1e-05 231.0296 2.0e-06 756.9079 1.4e-04 178.65 1.7e-05 5.789e-01 1.9e-07 * 0 * 0 * 0 4.75 OPT:[bbn+11] pksmb,htru_pks * - -1381 J1740-3327 J1740-3327 17:40:25.7 3.0e-02 -33:27:53.5 1.7e+00 * 0 * 0 * 0 52189.00 355.564 -1.436 0.515001 1.4e-11 3.90e-15 1.4e-18 * 0 * 0 52189.00 274.10 1.5e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.20 * pksmb,htru_pks * -1382 J1740-5340A J1740-5340A 17:40:44.5 4.0e-03 -53:40:40.9 1.0e-01 * 0 * 0 * 0 51917.00 338.165 -11.967 0.003650 1.0e-14 1.68e-19 7.0e-21 * 0 * 0 51917.00 71.80 2.0e-01 * 0 * 0 * 0 BT * 0 1.3541 5.0e-08 1.6528 7.0e-05 * 0 * 0 51749.7108 6.0e-06 * 0 * 0 2.20 GC:NGC6397,OPT:[fpds01],XRS:[ghe+01] pksgc * -1383 B1738-08 J1741-0840 17:41:22.5 1.7e-02 -08:40:31.8 1.1e+00 * 0 * 0 * 0 48714.00 16.955 11.304 2.043082 6.0e-12 2.27e-15 5.0e-20 4.400e-29 1.1e-28 * 0 48714.00 74.90 5.0e-02 * 0 29.00 8.0e+00 1.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.22 * mol2,gb2,gb3,pks70,pkssw,htru_pks * -1384 J1741+1351 J1741+1351 17:41:31.1 2.0e-06 +13:51:44.1 3.6e-05 * 0 * 0 0.560 1.3e-01 56209.00 37.885 21.641 0.003747 8.0e-18 3.02e-20 1.5e-25 * 0 * 0 56209.00 24.20 1.4e-04 * 0 * 0 0.93 0 ELL1 * 0 16.3353 5.0e-10 11.0033 6.0e-07 204.06 0.0e+00 9.984e-06 0.0e+00 56211.3030 1.6e-08 -4.070e-06 3.0e-08 -9.117e-06 1.0e-08 1.79 * pkssw HE[egc+13] -1385 J1741-2019 J1741-2019 17:41:06.8 3.0e-02 -20:19:24 5.0e+00 * 0 * 0 * 0 51500.00 6.815 5.377 3.904506 1.3e-10 1.63e-14 1.3e-17 * 0 * 0 51500.00 74.90 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.55 * pkssw,htru_pks * - -1386 J1741-2054 J1741-2054 17:41:57.2 2.0e-02 -20:54:11.8 3.0e-01 -63.000 1.2e+01 -89.000 9.0e+00 * 0 54933.00 6.422 4.907 0.413700 1.8e-10 1.70e-14 6.0e-18 * 0 * 0 54933.00 4.70 1.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 GRS:2FGL_J1741.9-2054[naa+12],XRS:Swift_ FermiBlind HE -1387 J1741-2719 J1741-2719 17:41:35.0 4.0e-02 -27:19:23 7.0e+00 * 0 * 0 * 0 52836.00 0.907 1.604 0.346797 1.9e-11 8.06e-17 4.0e-18 * 0 * 0 52836.00 361.90 4.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.51 * pksmb * -1388 J1741-2733 J1741-2733 17:41:01.3 4.0e-02 -27:33:51 7.0e+00 * 0 * 0 * 0 51184.00 0.636 1.582 0.892959 6.0e-11 1.48e-16 8.0e-18 * 0 * 0 51184.00 149.20 1.7e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.07 * pksmb,htru_pks * -1389 J1741+2758 J1741+2758 17:41:53.5 2.0e-02 +27:58:09.0 9.0e-01 * 0 * 0 * 0 51318.00 52.347 26.663 1.360738 4.0e-10 1.84e-15 1.0e-18 * 0 * 0 51797.00 29.14 1.1e-04 * 0 3.00 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * ar4 * -1390 J1741-2945 J1741-2945 17:41:14.4 4.0e-02 -29:45:35 5.0e+00 * 0 * 0 * 0 51088.00 358.798 0.380 0.223558 1.5e-11 6.34e-16 2.0e-18 * 0 * 0 51088.00 310.30 1.2e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.71 * pksmb * - -1391 J1741-3016 J1741-3016 17:41:07.0 6.0e-02 -30:16:31 1.0e+01 * 0 * 0 * 0 50959.00 358.346 0.130 1.893749 1.8e-10 8.99e-15 6.0e-17 * 0 * 0 50959.00 382.00 6.0e+00 * 0 * 0 2.30 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.87 * pksmb,htru_pks * -1392 J1741-34 J1741-34 17:41:54 3.0e+01 -34:19 7.0e+00 * 0 * 0 * 0 56657.00 355.002 -2.146 0.875137 2.0e-06 * 0 * 0 * 0 56657.00 241.00 8.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * htru_pks * -1393 B1737-39 J1741-3927 17:41:18.0 5.0e-03 -39:27:38.0 2.0e-01 20.000 1.5e+01 -6.000 5.9e+01 * 0 52384.00 350.555 -4.749 0.512211 8.0e-12 1.93e-15 1.4e-18 * 0 * 0 51700.00 158.50 6.0e-01 * 0 35.00 0 4.70 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * mol2,pks70,pksmb,htru_pks * -1394 J1742-3957 J1742-3957 17:42:04.4 1.9e-01 -39:57:22 9.0e+00 * 0 * 0 * 0 53124.00 350.209 -5.135 1.016349 4.0e-10 8.16e-17 2.9e-17 * 0 * 0 53124.00 186.00 8.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.05 * pksmb * -1395 J1742-4616 J1742-4616 17:42:26.1 2.0e-02 -46:16:53.5 4.0e-01 * 0 * 0 * 0 51650.00 344.790 -8.462 0.412401 7.0e-12 3.38e-17 1.2e-18 * 0 * 0 51650.00 115.96 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.69 * pkssw,htru_pks * - -1396 B1740-03 J1743-0339 17:43:08.1 2.7e-02 -03:39:11.5 1.4e+00 * 0 * 0 * 0 50067.00 21.649 13.400 0.444645 1.0e-10 1.56e-15 8.0e-19 1.500e-25 9.0e-26 * 0 50067.00 30.26 1.1e-01 * 0 3.10 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * mol2 * -1397 J1743+05 J1743+05 17:43:16 1.1e+02 +05:29 8.0e+00 * 0 * 0 * 0 57022.00 30.045 17.651 1.473630 0 * 0 * 0 * 0 57022.00 56.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * ar327 * -1398 B1740-13 J1743-1351 17:43:37.6 7.4e-03 -13:51:38.0 6.1e-01 * 0 * 0 * 0 49666.00 12.699 8.205 0.405337 1.0e-11 4.78e-16 9.0e-20 -7.500e-26 9.0e-27 * 0 49666.00 116.30 3.0e-02 * 0 6.10 8.0e-01 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * gb3,pks70,pkssw,htru_pks * -1399 J1743-2442 J1743-2442 17:43:20.1 1.0e-01 -24:42:55 4.1e+01 * 0 * 0 * 0 52133.00 3.333 2.640 1.242508 1.1e-10 4.72e-16 1.0e-17 * 0 * 0 52133.00 239.00 5.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.49 * pksmb * -1400 B1740-31 J1743-3150 17:43:36.6 1.4e-02 -31:50:21.7 1.4e+00 * 0 * 0 * 0 50241.00 357.299 -1.148 2.414576 6.0e-11 1.21e-13 6.0e-19 -2.400e-26 3.0e-27 * 0 50241.00 193.05 7.0e-02 * 0 6.60 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * pks1,pks70,pksmb,htru_pks * - -1401 J1743-3153 J1743-3153 17:43:15.5 1.3e-02 -31:53:05.3 1.7e+00 * 0 * 0 * 0 51309.00 357.221 -1.109 0.193105 7.0e-12 1.06e-14 4.0e-19 7.300e-25 1.2e-24 * 0 51309.00 505.70 1.2e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.86 * pksmb,htru_pks * -1402 J1743-35 J1743-35 17:43:06 3.0e+01 -35:32 7.0e+00 * 0 * 0 * 0 56657.00 354.095 -2.994 0.569980 9.0e-06 * 0 * 0 * 0 56657.00 174.00 5.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * htru_pks * -1403 J1743-4212 J1743-4212 17:43:05.2 5.0e-03 -42:12:02.4 2.0e-01 * 0 * 0 * 0 51650.00 348.381 -6.464 0.306167 1.6e-12 7.83e-16 4.0e-19 * 0 * 0 51650.00 131.94 5.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.01 * pkssw,htru_pks * -1404 J1744-1134 J1744-1134 17:44:29.4 1.1e-06 -11:34:54.6 8.0e-05 18.790 6.0e-03 -9.400 3.0e-02 2.530 7.0e-02 54500.00 14.794 9.180 0.004075 7.0e-18 8.93e-21 5.0e-26 * 0 * 0 54500.00 3.14 0 -0.000 1.8e-05 18.00 2.0e+00 3.10 2.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 GRS:2FGL_J1744.6-1135[naa+12] pks70,pkssw,htru_pks HE[aaa+09f] -1405 J1744-1610 J1744-1610 17:44:16.5 7.0e-03 -16:10:35.8 8.0e-01 * 0 * 0 * 0 51500.00 10.773 6.885 1.757206 1.6e-11 2.38e-15 1.6e-18 * 0 * 0 51500.00 66.67 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.92 * pkssw,htru_pks * - -1406 J1744-2335 J1744-2335 17:44:48.4 5.0e-02 -23:35:55 2.6e+01 * 0 * 0 * 0 49390.50 4.463 2.937 1.683507 2.0e-11 8.33e-16 9.0e-19 * 0 * 0 49390.50 96.66 2.0e-02 * 0 16.00 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.72 * pks70,pksmb,htru_pks * -1407 J1744-3130 J1744-3130 17:44:05.6 1.4e-02 -31:30:04 3.0e+00 * 0 * 0 * 0 50975.00 357.641 -1.059 1.066061 4.0e-11 2.12e-14 1.2e-17 * 0 * 0 50975.00 192.90 7.0e-01 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * pksmb,htru_pks * -1408 J1744-3922 J1744-3922 17:44:02.6 1.0e-02 -39:22:21.1 4.0e-01 * 0 * 0 * 0 52530.00 350.908 -5.155 0.172444 2.0e-12 1.55e-18 1.2e-19 * 0 * 0 52530.00 148.10 7.0e-01 * 0 * 0 0.11 1.6e-01 ELL1 * 0 0.1914 1.0e-08 0.2123 5.0e-05 * 0 * 0 52927.1672 3.0e-05 0.000e+00 1.0e-03 0.000e+00 1.0e-03 4.54 * pksmb * -1409 J1744-5337 J1744-5337 17:44:38.9 4.0e-02 -53:37:51 2.0e+00 * 0 * 0 * 0 55000.00 338.499 -12.447 0.355666 8.0e-10 1.90e-16 1.0e-17 * 0 * 0 55000.00 108.85 7.4e-01 * 0 * 0 0.39 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.79 * htru_pks * -1410 J1745-0129 J1745-0129 17:45:02.0 1.0e-02 -01:29:18.1 4.0e-01 * 0 * 0 * 0 51650.00 23.838 14.025 1.045407 1.8e-11 6.31e-16 4.0e-18 * 0 * 0 51650.00 90.10 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * pkssw * - -1411 J1745-0952 J1745-0952 17:45:09.1 2.0e-04 -09:52:39.6 1.5e-02 -21.200 1.1e+00 11.000 5.0e+00 * 0 53200.00 16.371 9.895 0.019376 1.9e-15 9.25e-20 5.0e-23 * 0 * 0 53200.00 64.47 1.4e-02 * 0 1.80 3.0e-01 0.38 3.0e-02 ELL1 * 0 4.9435 1.2e-08 2.3786 5.0e-06 113.96 0.0e+00 9.849e-06 0.0e+00 53198.6214 3.0e-06 9.000e-06 3.0e-06 -4.000e-06 4.0e-07 0.23 * pkssw,htru_pks * -1412 J1745+1017 J1745+1017 17:45:33.8 7.0e-04 +10:17:52.5 2.0e-03 6.000 1.0e+00 -5.000 1.0e+00 * 0 55400.00 34.869 19.254 0.002652 4.0e-16 2.73e-21 1.5e-23 * 0 * 0 55400.00 23.97 2.0e-03 * 0 * 0 * 0 ELL1 * 0 0.7302 1.0e-09 0.0882 1.0e-06 * 0 * 0 55209.9688 2.0e-06 0.000e+00 2.0e-05 0.000e+00 2.0e-05 1.21 GRS:2FGL_J1745.6+1015 FermiAssoc HE -1413 J1745-2229 J1745-2229 17:45:16.7 7.0e-02 -22:29:14 2.5e+01 * 0 * 0 * 0 52242.00 5.470 3.422 1.160593 1.9e-11 2.86e-15 3.0e-18 * 0 * 0 52242.00 299.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.55 * pksmb * -1414 J1745-2900 J1745-2900 17:45:40.1 8.0e-04 -29:00:29.8 1.0e-02 2.450 3.2e-01 5.890 1.1e-01 * 0 56899.00 359.944 -0.047 3.763733 1.7e-08 1.76e-11 3.0e-14 -1.047e-19 1.3e-21 * 0 56587.00 1778.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.30 AXP:SGR_J1745-29[kbk+13] misc AXP,HE -1415 J1745-2910 J1745-2910 17:45:16 3.4e+01 -29:10 3.0e+00 * 0 * 0 * 0 54620.26 359.763 -0.054 0.982000 0 * 0 * 0 * 0 54620.26 1088.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.97 * misc * - -1416 J1745-2912 J1745-2912 17:45:47.8 2.3e-04 -29:12:30.7 3.0e-03 * 0 * 0 * 0 57356.00 359.788 -0.175 0.187379 2.0e-07 * 0 * 0 * 0 53609.30 1130.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.11 * misc * -1417 B1742-30 J1745-3040 17:45:56.3 4.0e-04 -30:40:23.1 4.0e-02 12.500 1.5e+00 30.000 1.1e+01 * 0 53895.00 358.553 -0.963 0.367432 1.1e-11 1.07e-14 1.0e-19 -8.300e-26 5.0e-27 * 0 53895.00 88.37 4.0e-03 * 0 66.00 6.0e+00 13.00 1.3e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * misc,mol2,jb2,pks1,pksmb,htru_pks * -1418 J1745-3812 J1745-3812 17:45:15.4 4.0e-02 -38:12:07.3 9.0e-01 * 0 * 0 * 0 55330.00 352.036 -4.751 0.698353 2.0e-10 2.43e-15 7.0e-18 * 0 * 0 55330.00 160.80 4.0e-01 * 0 * 0 0.28 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * htru_pks * -1419 J1746+2245 J1746+2245 17:46:00.8 3.0e-02 +22:45:28.9 8.0e-01 * 0 * 0 * 0 52765.00 47.252 24.048 3.465038 6.0e-11 4.92e-15 7.0e-18 * 0 * 0 52765.00 49.85 5.7e-03 * 0 1.26 7.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.83 * ar4 * -1420 J1746+2540 J1746+2540 17:46:06.8 6.0e-02 +25:40:37.5 1.0e-01 * 0 * 0 * 0 51796.00 50.274 25.031 1.058148 1.0e-10 1.05e-15 2.0e-18 * 0 * 0 51796.00 51.20 3.3e-03 * 0 1.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * - -1421 J1746-27 J1746-27 17:46 5.0e+00 -27:51 7.0e+00 * 0 * 0 * 0 56657.00 0.971 0.494 0.487528 8.0e-11 * 0 * 0 * 0 56657.00 422.00 9.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * htru_pks * -1422 J1746-2849 J1746-2849 17:46:03.3 1.2e-04 -28:50:13.3 2.0e-03 * 0 * 0 * 0 57356.00 0.134 -0.030 1.478480 2.0e-09 1.27e-14 6.0e-16 * 0 * 0 54620.26 1456.00 3.0e+00 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.22 * misc * -1423 J1746-2850 J1746-2850 17:46:06.6 2.0e-01 -28:50:42 5.0e+00 * 0 * 0 * 0 54620.26 0.134 -0.044 1.077101 4.0e-10 1.34e-12 2.0e-17 * 0 * 0 54620.26 962.70 7.0e-01 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.61 * misc * -1424 J1746-2856 J1746-2856 17:46:49.8 6.0e-05 -28:56:58.9 1.0e-03 * 0 * 0 * 0 57417.00 0.126 -0.233 0.945224 3.0e-09 1.25e-14 3.0e-16 * 0 * 0 53704.51 1168.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.15 * misc * -1425 J1746-3239 J1746-3239 17:46:54.9 8.0e-03 -32:39:55.8 7.0e-01 * 0 * 0 * 0 55225.00 356.957 -2.175 0.199541 1.2e-12 6.56e-15 1.2e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1746.5-3238[naa+12] FermiBlind NRAD - -1426 J1747-1030 J1747-1030 17:47:58.3 6.0e-02 -10:30:05 4.0e+00 * 0 * 0 * 0 55509.00 16.174 8.983 1.578793 2.0e-10 4.30e-16 2.0e-17 * 0 * 0 55509.00 128.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.51 * htru_pks * -1427 J1747-2647 J1747-2647 17:47:30.8 1.6e-02 -26:47:14 5.0e+00 * 0 * 0 * 0 54311.00 2.054 0.758 0.500254 1.6e-11 1.32e-14 1.8e-18 * 0 * 0 54311.00 570.00 9.0e+00 * 0 * 0 1.54 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.19 * pksmb,htru_pks * -1428 J1747-2802 J1747-2802 17:47:26.5 1.8e-01 -28:02:37 3.3e+01 * 0 * 0 * 0 51312.00 0.971 0.121 2.780079 8.0e-10 2.37e-15 1.2e-16 * 0 * 0 51312.00 835.00 1.4e+01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pksmb,htru_pks * -1429 J1747-2809 J1747-2809 17:47:22.8 3.0e-02 -28:09:15.0 5.0e-01 * 0 * 0 * 0 54901.50 0.869 0.076 0.052153 2.0e-09 1.56e-13 3.0e-17 * 0 * 0 54901.50 1133.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.14 XRS:CXOU_J174722.8-280915,SNR:G0.9+0.1 misc * -1430 J1747-2958 J1747-2958 17:47:15.8 8.0e-03 -29:58:01.0 7.0e-01 12.900 1.8e+00 * 0 * 0 52613.00 359.305 -0.841 0.098814 2.0e-12 6.13e-14 1.0e-19 9.100e-23 2.0e-24 * 0 52613.00 101.50 1.6e+00 * 0 * 0 0.25 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 PWN:G359.23-0.82[gvc+04],GRS:1AGL_J1746- misc * - -1431 J1747-4036 J1747-4036 17:47:48.7 4.2e-05 -40:36:54.7 1.8e-03 * 0 * 0 * 0 56676.00 350.208 -6.412 0.001646 1.1e-16 1.31e-20 5.0e-24 * 0 * 0 56676.00 152.96 5.0e-04 * 0 * 0 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.15 GRS:3FGL_J1747.6-4037[aaa+15] FermiAssoc HE -1432 B1745-12 J1748-1300 17:48:17.4 1.7e-03 -13:00:52.0 1.4e-01 * 0 * 0 * 0 50021.00 14.016 7.656 0.394133 1.4e-12 1.21e-15 1.1e-20 -4.140e-26 1.7e-27 * 0 50021.00 99.36 6.0e-03 * 0 23.00 1.0e+00 2.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * mol2,gb2,pks70,pkssw * -1433 B1745-20A J1748-2021A 17:48:52.6 2.0e-03 -20:21:39.7 5.0e-01 * 0 * 0 * 0 54000.00 7.728 3.801 0.288603 1.6e-12 3.99e-16 1.0e-19 8.200e-26 3.4e-26 * 0 54000.00 219.40 2.0e-01 * 0 10.00 4.0e+00 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc,pksmb,htru_pks * -1434 J1748-2021B J1748-2021B 17:48:52.9 8.0e-05 -20:21:38.8 1.9e-01 * 0 * 0 * 0 54000.00 7.729 3.800 0.016760 5.0e-15 -3.29e-19 1.7e-22 * 0 * 0 54000.00 220.92 1.1e-02 * 0 * 0 * 0 BT 54005.4803 7.0e-06 20.5500 6.0e-07 4.4670 6.0e-06 314.32 1.3e-04 5.702e-01 1.5e-06 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1435 J1748-2021C J1748-2021C 17:48:51.1 1.5e-04 -20:21:53.8 4.0e-02 * 0 * 0 * 0 54000.00 7.721 3.804 0.006227 3.0e-15 -5.98e-20 1.6e-22 * 0 * 0 54000.00 226.95 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc * - -1436 J1748-2021D J1748-2021D 17:48:51.6 7.0e-05 -20:21:07.4 1.8e-02 * 0 * 0 * 0 54000.00 7.734 3.809 0.013496 3.0e-15 5.87e-19 1.7e-22 * 0 * 0 54000.00 224.98 3.0e-02 * 0 * 0 * 0 BT 54000.1054 3.0e-07 0.2861 4.0e-10 0.3972 3.0e-06 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1437 J1748-2021E J1748-2021E 17:48:52.8 1.4e-04 -20:21:29.3 3.0e-02 * 0 * 0 * 0 54000.00 7.731 3.802 0.016264 6.0e-15 3.12e-19 4.0e-22 * 0 * 0 54000.00 224.10 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1438 J1748-2021F J1748-2021F 17:48:52.3 3.0e-04 -20:21:39.3 9.0e-02 * 0 * 0 * 0 54000.00 7.727 3.802 0.003794 3.0e-15 -1.05e-20 1.9e-22 * 0 * 0 54000.00 220.43 8.0e-02 * 0 * 0 * 0 BT 54005.8062 6.0e-05 9.8340 8.0e-08 9.4976 1.1e-05 191.50 2.0e-03 5.311e-02 3.0e-06 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1439 J1748-2444 J1748-2444 17:48:48.5 2.0e-02 -24:44:37 1.1e+01 * 0 * 0 * 0 50477.00 3.955 1.564 0.442838 6.0e-12 1.11e-16 4.0e-20 -1.900e-27 5.4e-27 * 0 50477.00 207.33 9.0e-02 * 0 * 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * misc,pksmb,htru_pks * -1440 B1744-24A J1748-2446A 17:48:02.2 2.0e-03 -24:46:36.9 6.0e-01 * 0 * 0 * 0 48270.00 3.836 1.696 0.011563 3.0e-14 -3.40e-20 4.0e-22 * 0 * 0 48270.00 242.15 4.0e-02 * 0 * 0 0.61 7.0e-02 BT * 0 0.0756 2.0e-09 0.1197 3.0e-05 * 0 * 0 48270.0300 7.0e-06 * 0 * 0 5.50 GC:Ter5 misc,pksmb,htru_pks * - -1441 J1748-2446aa J1748-2446aa 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.005788 0 * 0 * 0 * 0 54100.00 237.42 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1442 J1748-2446ab J1748-2446ab 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.005120 0 * 0 * 0 * 0 54100.00 238.34 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1443 J1748-2446ac J1748-2446ac 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.005087 0 * 0 * 0 * 0 54100.00 238.72 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1444 J1748-2446ad J1748-2446ad 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53500.00 3.839 1.687 0.001396 6.0e-11 0.00e+00 6.0e-19 * 0 * 0 53500.00 235.60 1.0e-01 * 0 * 0 * 0 ELL1 * 0 1.0944 6.0e-08 1.1028 6.0e-05 * 0 * 0 53318.9957 1.2e-05 0.000e+00 1.0e-04 0.000e+00 1.0e-04 5.50 GC:Ter5 misc * -1445 J1748-2446ae J1748-2446ae 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.003659 0 * 0 * 0 * 0 54100.00 238.75 0 * 0 * 0 * 0 BT * 0 0.1707 0 0.0406 0 * 0 * 0 * 0 * 0 * 0 4.40 GC:Ter5 misc * - -1446 J1748-2446af J1748-2446af 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.003304 0 * 0 * 0 * 0 54100.00 237.34 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1447 J1748-2446ag J1748-2446ag 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.004448 0 * 0 * 0 * 0 54100.00 237.75 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1448 J1748-2446ah J1748-2446ah 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.004965 0 * 0 * 0 * 0 54100.00 237.75 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1449 J1748-2446ai J1748-2446ai 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.021228 0 * 0 * 0 * 0 54100.00 233.90 0 * 0 * 0 * 0 BT * 0 0.8509 0 2.8088 0 * 0 4.400e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1450 J1748-2446C J1748-2446C 17:48:04.5 1.0e-02 -24:46:36 4.0e+00 * 0 * 0 * 0 50958.00 3.841 1.689 0.008436 1.0e-13 -6.06e-19 4.0e-21 * 0 * 0 50958.00 237.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1451 J1748-2446D J1748-2446D 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.004714 0 * 0 * 0 * 0 53203.00 243.83 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.70 GC:Ter5 misc * -1452 J1748-2446E J1748-2446E 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002198 0 * 0 * 0 * 0 53203.00 236.84 0 * 0 * 0 * 0 BT * 0 60.0600 0 23.6000 0 * 0 2.000e-02 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1453 J1748-2446F J1748-2446F 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.005540 0 * 0 * 0 * 0 53203.00 239.18 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1454 J1748-2446G J1748-2446G 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.021672 0 * 0 * 0 * 0 53203.00 237.57 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1455 J1748-2446H J1748-2446H 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.004926 0 * 0 * 0 * 0 53203.00 238.13 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1456 J1748-2446I J1748-2446I 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.009570 0 * 0 * 0 * 0 53203.00 238.73 0 * 0 * 0 * 0 BT * 0 1.3280 0 1.8180 0 * 0 4.280e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1457 J1748-2446J J1748-2446J 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.080338 0 * 0 * 0 * 0 53203.00 234.35 0 * 0 * 0 * 0 BT * 0 1.1020 0 2.4540 0 * 0 3.500e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1458 J1748-2446K J1748-2446K 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002970 0 * 0 * 0 * 0 53203.00 234.81 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1459 J1748-2446L J1748-2446L 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002245 0 * 0 * 0 * 0 53203.00 237.74 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1460 J1748-2446M J1748-2446M 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.003570 0 * 0 * 0 * 0 53203.00 238.65 0 * 0 * 0 * 0 BT * 0 0.4431 0 0.5960 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1461 J1748-2446N J1748-2446N 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.008667 0 * 0 * 0 * 0 53203.00 238.47 0 * 0 * 0 * 0 BT * 0 0.3855 0 1.6190 0 * 0 4.500e-05 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1462 J1748-2446O J1748-2446O 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.001677 0 * 0 * 0 * 0 53203.00 236.38 0 * 0 * 0 * 0 BT * 0 0.2595 0 0.1120 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1463 J1748-2446P J1748-2446P 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.001729 0 * 0 * 0 * 0 53203.00 238.79 0 * 0 * 0 * 0 BT * 0 0.3626 0 1.2720 0 * 0 * 0 * 0 * 0 * 0 4.40 GC:Ter5 misc * -1464 J1748-2446Q J1748-2446Q 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002812 0 * 0 * 0 * 0 53203.00 234.50 0 * 0 * 0 * 0 BT * 0 30.2950 0 28.6020 0 * 0 7.220e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1465 J1748-2446R J1748-2446R 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.005029 0 * 0 * 0 * 0 53203.00 237.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1466 J1748-2446S J1748-2446S 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.006117 0 * 0 * 0 * 0 53203.00 236.26 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1467 J1748-2446T J1748-2446T 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.007085 0 * 0 * 0 * 0 53203.00 237.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1468 J1748-2446U J1748-2446U 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.003289 0 * 0 * 0 * 0 53203.00 235.50 0 * 0 * 0 * 0 BT * 0 3.5703 0 5.9725 0 * 0 6.050e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1469 J1748-2446V J1748-2446V 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002073 0 * 0 * 0 * 0 53203.00 239.11 0 * 0 * 0 * 0 BT * 0 0.5036 0 0.5670 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1470 J1748-2446W J1748-2446W 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.004205 0 * 0 * 0 * 0 53203.00 239.14 0 * 0 * 0 * 0 BT * 0 4.8770 0 5.8690 0 * 0 1.500e-02 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1471 J1748-2446X J1748-2446X 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002999 0 * 0 * 0 * 0 53203.00 240.03 0 * 0 * 0 * 0 BT * 0 4.9985 0 5.1071 0 * 0 3.024e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1472 J1748-2446Y J1748-2446Y 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002048 0 * 0 * 0 * 0 53203.00 239.11 0 * 0 * 0 * 0 BT * 0 1.1700 0 1.1785 0 * 0 2.000e-05 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1473 J1748-2446Z J1748-2446Z 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.002463 0 * 0 * 0 * 0 54100.00 238.85 0 * 0 * 0 * 0 BT * 0 3.4881 0 3.5304 0 * 0 7.608e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1474 J1748-30 J1748-30 17:48 5.0e+00 -30:17 7.0e+00 * 0 * 0 * 0 56657.00 359.117 -1.141 0.382735 6.0e-07 * 0 * 0 * 0 56657.00 584.00 5.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.81 * htru_pks * -1475 J1748-3009 J1748-3009 17:48:23.7 2.0e-02 -30:09:12.2 5.0e-01 * 0 * 0 * 0 51495.10 359.272 -1.147 0.009684 2.0e-09 * 0 * 0 * 0 51495.10 420.20 0 * 0 * 0 1.40 0 BT 56069.1621 7.0e-06 2.9338 4.0e-07 1.3201 1.0e-05 * 0 * 0 * 0 * 0 * 0 5.07 * pksmb * - -1476 J1749+16 J1749+16 17:49:29 1.2e+02 +16:24 8.0e+00 * 0 * 0 * 0 57022.00 41.208 20.900 2.311650 0 * 0 * 0 * 0 57022.00 59.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.38 * ar327 * -1477 J1749-2347 J1749-2347 17:49:15.6 1.2e-01 -23:47:17 8.2e+01 * 0 * 0 * 0 52055.00 4.828 1.967 0.874486 4.0e-11 2.42e-15 1.0e-18 * 0 * 0 52055.00 344.00 4.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.66 * pksmb * -1478 J1749-2629 J1749-2629 17:49:11.2 5.0e-02 -26:29:10 1.9e+01 * 0 * 0 * 0 51495.00 2.505 0.593 1.335388 1.3e-10 1.72e-15 3.0e-17 * 0 * 0 51495.00 409.00 1.1e+01 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.19 * pksmb * -1479 B1746-30 J1749-3002 17:49:13.4 2.8e-02 -30:02:35 3.2e+00 * 0 * 0 * 0 50279.00 359.459 -1.244 0.609874 1.5e-11 7.87e-15 1.2e-19 -3.500e-26 8.0e-27 * 0 50279.00 509.40 3.0e-01 * 0 12.70 0 3.70 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.68 * pks1,pksmb,htru_pks * -1480 J1749-4931 J1749-4931 17:49:23.7 4.0e-02 -49:31:59 2.0e+00 * 0 * 0 * 0 55000.00 342.522 -11.095 0.445822 2.0e-09 5.90e-16 2.0e-17 * 0 * 0 55000.00 55.29 4.9e-01 * 0 * 0 0.15 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * htru_pks * - -1481 B1745-56 J1749-5605 17:49:44.5 1.0e-01 -56:05:19 3.0e+00 * 0 * 0 * 0 43558.85 336.637 -14.262 1.332310 7.0e-10 2.12e-15 3.0e-17 * 0 * 0 43558.85 58.00 5.0e+00 * 0 3.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * mol2,htru_pks * -1482 J1750+07 J1750+07 17:50:40 1.2e+02 +07:33 8.0e+00 * 0 * 0 * 0 57022.00 32.841 16.925 1.908810 0 * 0 * 0 * 0 57022.00 55.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * ar327 * -1483 J1750-2043 J1750-2043 17:50:18.4 5.0e-01 -20:43:08 7.5e+01 * 0 * 0 * 0 52923.00 7.591 3.331 5.639047 3.0e-09 7.95e-15 1.6e-15 * 0 * 0 52923.00 239.00 7.0e+00 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.84 * pksmb * -1484 J1750-2438 J1750-2438 17:50:59.7 9.0e-03 -24:38:58 7.0e+00 * 0 * 0 * 0 51491.00 4.291 1.185 0.712794 1.0e-11 1.08e-14 3.0e-18 * 0 * 0 51491.00 476.00 5.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.90 * pksmb,htru_pks * -1485 J1750-2444 J1750-2444 17:50:22.9 8.0e-02 -24:44:47 4.2e+01 * 0 * 0 * 0 51835.00 4.136 1.255 0.899377 5.0e-11 2.64e-16 3.0e-18 * 0 * 0 51835.00 331.00 4.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * pksmb,htru_pks * - -1486 J1750-2536 J1750-2536 17:50:33.3 2.0e-02 -25:36:43 3.0e+00 * 0 * 0 * 0 50593.80 3.413 0.778 0.034749 8.0e-09 * 0 * 0 * 0 50593.80 178.40 0 * 0 * 0 0.40 0 BT 56069.2700 3.0e-02 17.1416 4.0e-06 20.0610 5.0e-05 54.70 7.0e-01 3.920e-04 4.0e-06 * 0 * 0 * 0 3.22 * pksmb,htru_pks * -1487 J1750-28 J1750-28 17:50:04.0 2.0e-01 -28:45 7.0e+00 * 0 * 0 * 0 56783.00 0.663 -0.737 1.300513 7.0e-10 5.78e-15 1.9e-19 * 0 * 0 56783.00 388.00 1.2e+01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * htru_pks * -1488 B1747-31 J1750-3157 17:50:47.3 8.4e-03 -31:57:44.1 5.8e-01 * 0 * 0 * 0 50271.00 357.982 -2.516 0.910363 5.0e-12 1.97e-16 4.0e-20 -4.200e-28 9.6e-28 * 0 50271.00 206.34 4.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pks1,pksmb,htru_pks * -1489 J1750-3503 J1750-3503 17:50:44.5 6.0e-03 -35:03:08.9 5.0e-01 * 0 * 0 * 0 48735.00 355.314 -4.082 0.684014 3.0e-11 3.81e-17 4.0e-19 * 0 * 0 48735.00 189.35 2.0e-02 * 0 29.00 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.86 * pks70,pksmb,htru_pks * -1490 J1750-3703A J1750-3703A 17:50:13.8 5.0e-04 -37:03:10.9 2.0e-02 * 0 * 0 * 0 54000.00 353.532 -5.009 0.111601 4.0e-13 5.66e-18 8.0e-21 * 0 * 0 54000.00 233.82 3.0e-02 * 0 * 0 * 0 BT 54003.1278 1.1e-05 17.3343 7.0e-07 24.3931 8.0e-05 131.35 2.0e-04 7.124e-01 2.0e-06 * 0 * 0 * 0 13.80 GC:NGC6441 misc * - -1491 J1750-3703B J1750-3703B 17:50:12.1 4.0e-04 -37:03:22.9 2.0e-02 * 0 * 0 * 0 54000.00 353.526 -5.006 0.006075 6.0e-15 1.92e-20 5.0e-22 * 0 * 0 54000.00 234.39 9.0e-03 * 0 * 0 * 0 BT 54002.7705 1.1e-03 3.6051 5.0e-08 2.8659 1.3e-05 323.07 1.1e-01 4.046e-03 9.0e-06 * 0 * 0 * 0 13.80 GC:NGC6441 misc * -1492 J1750-3703C J1750-3703C 17:50:13.4 7.0e-04 -37:03:05.5 3.0e-02 * 0 * 0 * 0 54000.00 353.533 -5.007 0.026569 5.0e-14 -9.96e-19 3.0e-21 * 0 * 0 54000.00 230.67 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.80 GC:NGC6441 misc * -1493 J1750-3703D J1750-3703D 17:50:13.0 4.0e-04 -37:03:06.3 1.7e-02 * 0 * 0 * 0 54000.00 353.532 -5.006 0.005140 4.0e-15 4.93e-19 3.0e-22 * 0 * 0 54000.00 230.09 1.7e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.80 GC:NGC6441 misc * -1494 J1751-2516 J1751-2516 17:51:52.6 6.0e-02 -25:16:43 2.6e+01 * 0 * 0 * 0 51383.00 3.852 0.692 0.394836 1.0e-10 2.64e-15 3.0e-18 -3.700e-24 4.1e-24 * 0 51383.00 556.00 3.0e+00 * 0 * 0 0.22 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.17 * pksmb * -1495 J1751-2857 J1751-2857 17:51:32.6 1.7e-05 -28:57:46.5 3.0e-03 -7.400 1.0e-01 -4.300 1.2e+00 * 0 55000.00 0.646 -1.124 0.003915 3.0e-15 1.12e-20 3.0e-23 * 0 * 0 55000.00 42.84 3.0e-02 * 0 * 0 0.06 2.0e-02 DD 52491.5740 4.0e-03 110.7465 4.0e-08 32.5282 2.0e-06 45.51 1.1e-02 1.279e-04 3.0e-08 * 0 * 0 * 0 1.09 * pksmb,htru_pks * - -1496 J1751-3323 J1751-3323 17:51:32.7 1.1e-02 -33:23:39.6 9.0e-01 * 0 * 0 * 0 53750.00 356.829 -3.382 0.548227 7.0e-11 8.83e-15 7.0e-18 * 0 * 0 54500.00 296.70 6.0e-01 * 0 * 0 1.30 1.4e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.27 * pksmb,htru_pks * -1497 B1747-46 J1751-4657 17:51:42.2 1.1e-02 -46:57:24.8 2.0e-01 * 0 * 0 * 0 46943.00 345.002 -10.178 0.742352 1.0e-11 1.29e-15 6.0e-19 * 0 * 0 46800.00 20.40 4.0e-01 * 0 70.00 0 10.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.74 * misc,mol2,pks70,pkssw,htru_pks * -1498 J1752+2359 J1752+2359 17:52:35.4 2.0e-02 +23:59:48.2 2.0e-01 * 0 * 0 * 0 51952.00 49.098 23.074 0.409051 9.0e-12 6.43e-16 9.0e-19 * 0 * 0 51952.00 36.20 6.0e-04 * 0 3.50 3.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * ar4 * -1499 J1752-2410 J1752-2410 17:52:58.7 1.5e-02 -24:10:26 1.5e+01 * 0 * 0 * 0 51865.00 4.930 1.039 0.191037 1.9e-12 6.18e-16 8.0e-20 * 0 * 0 51865.00 508.30 9.0e-01 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.41 * pksmb,htru_pks * -1500 B1749-28 J1752-2806 17:52:58.6 1.7e-03 -28:06:37.3 3.0e-01 -4.000 6.0e+00 -5.000 5.0e+00 * 0 46483.00 1.540 -0.961 0.562558 3.0e-11 8.13e-15 1.0e-19 1.300e-26 3.0e-27 * 0 46483.00 50.37 8.0e-03 * 0 1100.00 1.0e+02 18.00 1.8e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * mol1,jb1,mol2,jb2,pks1,pks70,pksmb, * - -1501 J1752-2821 J1752-2821 17:52:24.5 3.0e-02 -28:21:10 9.0e+00 * 0 * 0 * 0 50974.00 1.267 -0.976 0.640229 4.0e-11 3.47e-15 1.7e-17 * 0 * 0 50974.00 516.30 1.3e+00 * 0 * 0 0.32 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.48 * pksmb,htru_pks * -1502 J1753-12 J1753-12 17:52:53 5.8e+01 -12:59 1.5e+01 * 0 * 0 * 0 54831.00 14.608 6.703 0.405454 1.0e-06 * 0 * 0 * 0 54831.00 73.20 5.2e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * pkssw RRAT -1503 J1753-1914 J1753-1914 17:53:35.1 1.2e-02 -19:14:58 3.0e+00 * 0 * 0 * 0 53150.00 9.251 3.412 0.062955 1.2e-12 2.02e-18 1.2e-19 * 0 * 0 53150.00 105.30 3.0e-01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.91 * pksmb * -1504 J1753-2240 J1753-2240 17:53:39.8 5.0e-03 -22:40:42 1.0e+00 * 0 * 0 * 0 54275.02 6.299 1.663 0.095138 7.0e-13 9.70e-19 1.2e-19 * 0 * 0 54275.02 158.60 4.0e-01 * 0 * 0 0.15 3.0e-02 BT 54099.1303 8.0e-05 13.6376 7.0e-07 18.1154 1.0e-04 -49.32 2.0e-03 3.036e-01 1.0e-05 * 0 * 0 * 0 3.23 * pksmb,htru_pks * -1505 B1750-24 J1753-2501 17:53:30.6 2.9e-02 -25:00:25 1.4e+01 * 0 * 0 * 0 49613.00 4.274 0.512 0.528336 3.0e-11 1.41e-14 1.7e-19 -6.200e-26 1.1e-26 * 0 49613.00 672.00 3.0e+00 * 0 * 0 2.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * jb2,pksmb,htru_pks * - -1506 J1753-38 J1753-38 17:53 1.0e+00 -38:49 7.0e+00 * 0 * 0 * 0 55305.00 352.277 -6.368 0.666804 0 * 0 * 0 * 0 55305.00 168.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.87 * pkssw,htru_pks RRAT -1507 J1754-2422 J1754-2422 17:54:36.5 6.0e-02 -24:22:24 4.9e+01 * 0 * 0 * 0 55310.00 4.947 0.618 2.090248 4.0e-10 8.30e-16 2.0e-17 * 0 * 0 55310.00 738.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.16 * htru_pks * -1508 J1754-3014 J1754-3014 17:54:30.1 4.0e-02 -30:15:03 5.0e+00 * 0 * 0 * 0 55292.00 359.862 -2.332 1.320490 3.0e-10 4.43e-15 1.9e-17 * 0 * 0 55292.00 89.70 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * pksmb RRAT -1509 J1754-3443 J1754-3443 17:54:37.3 1.4e-02 -34:43:53.9 1.0e+00 * 0 * 0 * 0 52260.00 355.994 -4.607 0.361691 1.0e-11 5.71e-16 7.0e-19 * 0 * 0 52260.00 187.70 9.0e-01 * 0 * 0 0.49 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.11 * pksmb,htru_pks * -1510 J1754-3510 J1754-3510 17:54:54.6 7.0e-03 -35:10:43.0 5.0e-01 * 0 * 0 * 0 53097.00 355.635 -4.882 0.392704 3.0e-12 7.82e-16 5.0e-19 * 0 * 0 53097.00 82.30 3.0e-01 * 0 * 0 0.47 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.57 * pksmb,htru_pks * - -1511 B1753+52 J1754+5201 17:54:22.9 4.9e-02 +52:01:12.3 4.7e-01 * 0 * 0 * 0 49666.00 79.608 29.628 2.391397 3.0e-11 1.56e-15 3.0e-19 -5.200e-28 8.4e-28 * 0 49666.00 35.01 6.4e-03 * 0 4.90 8.0e-01 1.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * gb2 * -1512 J1755-0903 J1755-0903 17:55:10.3 5.0e-03 -09:03:51.6 2.0e-01 * 0 * 0 * 0 55536.00 18.324 8.150 0.190710 4.0e-12 7.81e-16 3.0e-19 * 0 * 0 55536.00 63.70 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.23 * htru_pks * -1513 J1755-1650 J1755-1650 17:55:11.6 1.8e-02 -16:50:41 3.0e+00 * 0 * 0 * 0 53165.00 11.527 4.291 0.733744 3.0e-11 6.86e-16 3.0e-18 * 0 * 0 53165.00 159.90 1.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * pksmb,htru_pks * -1514 J1755-2025 J1755-2025 17:55:35.8 6.0e-03 -20:25:00 0 * 0 * 0 * 0 54268.10 8.480 2.416 0.322231 5.0e-12 4.42e-15 6.0e-19 * 0 * 0 54268.10 364.30 5.0e-01 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.99 * pksmb * -1515 J1755-25 J1755-25 17:55:36 3.0e+01 -25:53 7.0e+00 * 0 * 0 * 0 56922.00 3.756 -0.338 0.315196 5.0e-11 * 0 * 0 * 0 56922.00 751.00 3.0e+00 * 0 * 0 0.14 0 DD 56904.1259 6.0e-04 9.6963 2.0e-05 12.2838 2.0e-04 129.65 2.0e-02 8.932e-02 3.0e-05 * 0 * 0 * 0 4.91 * htru_pks * - -1516 J1755-2521 J1755-2521 17:55:59.7 9.0e-02 -25:21:27 4.8e+01 * 0 * 0 * 0 51586.00 4.255 -0.150 1.175968 5.0e-10 9.02e-14 1.7e-17 3.200e-23 3.0e-24 * 0 51586.00 252.00 4.0e+00 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pksmb,htru_pks * -1517 J1755-25211 J1755-25211 17:55:19.3 5.0e-02 -25:21:09 1.8e+01 * 0 * 0 * 0 51908.00 4.183 -0.016 1.004513 7.0e-11 3.12e-14 1.3e-18 * 0 * 0 51908.00 835.00 5.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * pksmb * -1518 J1755-2534 J1755-2534 17:55:49.8 3.0e-02 -25:34:39 1.1e+01 * 0 * 0 * 0 52188.00 4.047 -0.229 0.233541 9.0e-12 1.12e-14 9.0e-19 * 0 * 0 52188.00 590.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * pksmb * -1519 J1755-26 J1755-26 17:55:16.2 4.0e-02 -26:00 1.0e+00 * 0 * 0 * 0 56827.00 3.618 -0.333 0.430872 1.4e-10 1.23e-14 5.0e-21 * 0 * 0 56827.00 405.00 4.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * htru_pks * -1520 J1755-2725 J1755-2725 17:55:41.8 9.0e-02 -27:25:45 2.4e+01 * 0 * 0 * 0 51492.00 2.432 -1.135 0.261955 5.0e-11 1.37e-17 9.0e-18 * 0 * 0 51492.00 115.00 5.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * pksmb,htru_pks * - -1521 J1755-33 J1755-33 17:55:12 3.0e+01 -33:31 7.0e+00 * 0 * 0 * 0 52080.60 357.109 -4.102 0.959466 4.0e-06 * 0 * 0 * 0 52080.60 266.50 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.08 * pksmb * -1522 J1755-3716 J1755-3716 17:55:35.4 4.0e-04 -37:16:10.7 4.0e-02 * 0 * 0 * 0 55958.80 353.882 -6.041 0.012786 1.0e-13 3.11e-20 4.0e-21 * 0 * 0 55958.80 167.60 1.9e-02 * 0 * 0 0.53 0 ELL1 * 0 11.5156 3.0e-07 10.6451 1.2e-05 329.74 0.0e+00 1.389e-05 0.0e+00 55958.7903 9.0e-06 -7.000e-06 2.0e-07 1.200e-05 3.0e-07 8.18 * htru_pks * -1523 J1756+1822 J1756+1822 17:56:17.5 8.0e-03 +18:22:55.3 2.0e-01 * 0 * 0 * 0 53400.00 43.836 20.185 0.744001 7.0e-11 5.13e-16 1.7e-18 * 0 * 0 53400.00 70.80 0 * 0 0.70 0 0.01 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc * -1524 J1756-2225 J1756-2225 17:56:25.5 8.0e-02 -22:25:48 6.6e+01 * 0 * 0 * 0 52360.00 6.835 1.237 0.404980 9.0e-11 5.27e-14 5.0e-18 * 0 * 0 52360.00 329.00 1.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb,htru_pks * -1525 J1756-2251 J1756-2251 17:56:46.6 1.5e-05 -22:51:59.3 2.0e-02 -2.420 8.0e-02 0.000 2.0e+01 1.050 5.5e-01 53563.00 6.499 0.948 0.028462 5.0e-16 1.02e-18 3.0e-24 * 0 * 0 53563.00 121.20 5.0e-03 * 0 * 0 0.60 1.0e-01 DD 53562.7809 2.0e-07 0.3196 3.0e-11 2.7565 9.0e-06 327.82 3.0e-04 1.806e-01 2.0e-07 * 0 * 0 * 0 0.73 * pksmb,htru_pks * - -1526 B1753-24 J1756-2435 17:56:57.9 4.9e-03 -24:35:34 3.6e+00 * 0 * 0 * 0 49613.00 5.027 0.044 0.670480 1.4e-12 2.85e-16 9.0e-21 -1.500e-28 4.0e-28 * 0 49613.00 367.10 4.0e-01 * 0 8.40 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.83 * jb2,pks1,pksmb,htru_pks * -1527 J1756-25 J1756-25 17:56:42 3.0e+01 -25:28 7.0e+00 * 0 * 0 * 0 56657.00 4.241 -0.342 0.855986 2.0e-06 * 0 * 0 * 0 56657.00 706.00 8.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * htru_pks * -1528 J1756-2619 J1756-2619 17:57:19.3 2.0e-02 -26:19:08 9.0e+00 * 0 * 0 * 0 54223.20 3.574 -0.891 0.724514 1.1e-10 1.24e-15 6.0e-18 * 0 * 0 54223.20 534.00 2.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * pksmb * -1529 J1757-15 J1757-15 17:57:24 0 -15:03:18 0 * 0 * 0 * 0 55561.00 13.349 4.723 0.179400 0 * 0 * 0 * 0 55561.00 150.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * htru_pks * -1530 J1757-16 J1757-16 17:57:25 3.0e+01 -16:26 7.0e+00 * 0 * 0 * 0 * 12.151 4.034 0.451273 1.0e-06 * 0 * 0 * 0 * 132.20 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 * pksmb * - -1531 J1757-1854 J1757-1854 17:57:03.7 6.0e-05 -18:54:03.3 7.0e-03 * 0 * 0 * 0 57701.00 9.966 2.877 0.021497 7.0e-15 2.63e-18 7.0e-22 * 0 * 0 57701.00 378.20 2.0e-03 * 0 * 0 0.25 4.0e-02 DDH 57700.9260 5.0e-08 0.1835 5.0e-11 2.2378 5.0e-06 279.34 4.0e-04 6.058e-01 1.0e-06 * 0 * 0 * 0 19.58 * htru_pks * -1532 J1757-2223 J1757-2223 17:57:50.7 4.0e-03 -22:23:49 4.0e+00 * 0 * 0 * 0 51495.00 7.029 0.970 0.185310 1.1e-12 7.82e-16 3.0e-19 * 0 * 0 51495.00 239.30 4.0e-01 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.73 * pksmb,htru_pks * -1533 B1754-24 J1757-2421 17:57:29.3 1.4e-03 -24:22:07.4 1.4e+00 * 0 * 0 * 0 53623.00 5.281 0.054 0.234106 5.0e-11 1.30e-14 1.7e-18 3.400e-23 4.0e-24 * 0 53623.00 179.45 1.1e-02 * 0 20.00 4.0e+00 3.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.12 * misc,mol1,jb2,pks1,pksmb,htru_pks * -1534 J1757-27 J1757-27 17:57:54.7 2.0e-03 -27:45 7.0e+00 * 0 * 0 * 0 56778.00 2.400 -1.721 0.017687 1.1e-13 2.10e-19 2.0e-20 * 0 * 0 56778.00 334.00 0 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.12 * htru_pks * -1535 J1757-5322 J1757-5322 17:57:15.1 3.0e-04 -53:22:26.3 5.0e-03 * 0 * 0 * 0 51570.00 339.637 -13.980 0.008870 4.0e-15 2.63e-20 4.0e-22 * 0 * 0 51570.00 30.82 7.0e-03 * 0 * 0 * 0 ELL1 * 0 0.4533 5.0e-10 2.0865 5.0e-06 108.89 0.0e+00 4.016e-06 0.0e+00 51394.1081 3.0e-07 3.800e-06 4.4e-06 -1.300e-06 4.2e-06 0.94 * pkssw,htru_pks * - -1536 J1758-1931 J1758-1931 17:58:05.6 7.0e-02 -19:31:41 1.1e+01 * 0 * 0 * 0 52353.00 9.544 2.353 0.692552 7.0e-11 1.69e-14 3.0e-17 * 0 * 0 52353.00 207.00 5.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.54 * pksmb,htru_pks * -1537 J1758-2206 J1758-2206 17:58:44.4 3.0e-02 -22:06:45 1.9e+01 * 0 * 0 * 0 51495.00 7.378 0.933 0.430278 1.5e-11 9.56e-16 4.0e-18 * 0 * 0 51495.00 678.00 4.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.98 * pksmb,htru_pks * -1538 J1758-2540 J1758-2540 17:58:31.9 9.0e-02 -25:40:49 4.6e+01 * 0 * 0 * 0 50975.00 4.263 -0.807 2.107263 4.0e-10 1.55e-15 1.4e-16 * 0 * 0 50975.00 218.20 1.3e+00 * 0 * 0 0.65 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pksmb,htru_pks * -1539 J1758-2630 J1758-2630 17:58:34.2 1.4e-01 -26:30:10 2.1e+01 * 0 * 0 * 0 51244.00 3.555 -1.225 1.202893 1.8e-10 5.17e-15 8.0e-17 * 0 * 0 51244.00 328.00 3.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * pksmb,htru_pks * -1540 J1758-2846 J1758-2846 17:58:15.4 3.0e-02 -28:46:02 5.0e+00 * 0 * 0 * 0 53253.00 1.556 -2.294 0.766706 3.0e-11 9.41e-17 1.8e-17 * 0 * 0 53253.00 66.60 3.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.01 * pksmb,htru_pks * - -1541 J1758+3030 J1758+3030 17:58:25.8 2.0e-02 +30:30:24.0 6.0e-01 * 0 * 0 * 0 49800.00 56.265 24.032 0.947256 8.0e-11 7.20e-16 1.0e-17 * 0 * 0 49800.00 35.07 1.4e-03 * 0 8.90 1.5e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.28 * ar4,gb4 * -1542 J1759-1029 J1759-1029 17:59:34.3 4.0e-02 -10:29:57 3.0e+00 * 0 * 0 * 0 55348.00 17.596 6.504 2.512263 5.0e-10 1.57e-14 2.0e-17 * 0 * 0 55348.00 110.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.24 * htru_pks * -1543 J1759-1736 J1759-1736 17:59:28.1 7.0e-02 -17:36:10 7.0e+00 * 0 * 0 * 0 53156.00 11.378 3.028 0.798452 8.0e-11 2.55e-16 2.0e-17 * 0 * 0 53156.00 206.00 3.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * pksmb * -1544 J1759-1903 J1759-1903 17:59:41.7 1.6e-01 -19:03:19 2.7e+01 * 0 * 0 * 0 52003.00 10.142 2.260 0.731505 1.7e-10 3.07e-15 7.0e-17 * 0 * 0 52003.00 467.00 4.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.81 * pksmb * -1545 J1759-1940 J1759-1940 17:59:57.0 1.5e-02 -19:40:29 5.0e+00 * 0 * 0 * 0 51491.00 9.634 1.901 0.254720 7.0e-12 9.34e-17 2.0e-18 * 0 * 0 51491.00 302.70 1.0e+00 * 0 * 0 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.98 * pksmb,htru_pks * - -1546 J1759-1956 J1759-1956 17:59:35.4 4.0e-02 -19:56:08 1.5e+01 * 0 * 0 * 0 51495.00 9.366 1.845 2.843389 3.0e-10 1.86e-14 5.0e-17 * 0 * 0 51495.00 236.40 1.9e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * pksmb,htru_pks * -1547 B1756-22 J1759-2205 17:59:24.1 1.3e-03 -22:05:33.0 1.1e+00 * 0 * 0 * 0 49721.00 7.472 0.810 0.460974 9.0e-12 1.09e-14 9.0e-20 -2.570e-25 7.0e-27 * 0 49721.00 177.16 5.0e-03 * 0 20.00 2.0e+00 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.26 * mol2,jb2,pks1,pks70,pksmb,htru_pks * -1548 J1759-2302 J1759-2302 17:59:49.2 9.0e-02 -23:02:08 2.0e+02 * 0 * 0 * 0 51115.00 6.702 0.257 0.810718 1.2e-10 1.07e-14 1.2e-17 * 0 * 0 51115.00 889.00 1.0e+00 * 0 * 0 1.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb,htru_pks * -1549 J1759-2307 J1759-2307 17:59:30.9 2.0e-02 -23:07:17 4.6e+01 * 0 * 0 * 0 51110.00 6.593 0.275 0.558889 3.0e-11 3.76e-15 3.0e-18 * 0 * 0 51110.00 812.60 1.5e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb,htru_pks * -1550 J1759-24 J1759-24 17:59:24 3.0e+01 -24:02 7.0e+00 * 0 * 0 * 0 56657.00 5.789 -0.156 1.457739 1.1e-05 * 0 * 0 * 0 56657.00 772.00 1.4e+01 * 0 * 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * htru_pks * - -1551 J1759-2549 J1759-2549 17:59:35.1 9.0e-02 -25:49:07 3.4e+01 * 0 * 0 * 0 51380.00 4.261 -1.082 0.956549 1.1e-10 9.96e-14 1.3e-17 * 0 * 0 51380.00 431.00 5.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb,htru_pks * -1552 J1759-2922 J1759-2922 17:59:48.2 1.4e-02 -29:22:07 2.5e+00 * 0 * 0 * 0 50856.00 1.202 -2.887 0.574400 3.0e-12 4.63e-15 3.0e-20 8.700e-27 3.1e-27 * 0 50856.00 79.42 6.0e-02 * 0 13.00 0 0.56 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.42 * pks70,pksmb,htru_pks * -1553 J1759-3107 J1759-3107 17:59:22.0 1.4e-02 -31:07:21.5 2.0e+00 * 0 * 0 * 0 52608.00 359.629 -3.673 1.078953 4.0e-11 3.77e-15 9.0e-18 * 0 * 0 52608.00 128.60 1.1e+00 * 0 * 0 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 * pksmb,htru_pks * -1554 J1800-0125 J1800-0125 18:00:22.0 3.0e-02 -01:25:30.6 7.0e-01 * 0 * 0 * 0 52820.00 25.749 10.678 0.783185 3.0e-11 1.15e-14 5.0e-18 * 0 * 0 52820.00 50.00 2.0e-01 * 0 * 0 0.14 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 * misc,htru_pks * -1555 J1800-2114 J1800-2114 18:00:12.3 4.0e-01 -21:14:19 7.5e+01 * 0 * 0 * 0 52360.00 8.306 1.073 1.799272 7.0e-10 5.50e-16 2.6e-16 * 0 * 0 52360.00 641.00 1.8e+01 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.09 * pksmb * - -1556 B1757-23 J1800-2343 18:00 4.0e+00 -23:43 1.5e+01 * 0 * 0 * 0 44969.00 6.132 -0.118 1.030820 2.0e-05 * 0 * 0 * 0 44969.00 280.00 4.0e+01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * misc * -1557 J1800+50 J1800+50 18:01 2.0e+00 +50:28 1.8e+01 * 0 * 0 * 0 56292.00 78.018 28.382 0.578364 1.5e-05 * 0 * 0 * 0 56292.00 23.00 2.0e+00 * 0 23.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.97 * gbncc * -1558 B1758-03 J1801-0357 18:01:22.6 4.5e-03 -03:57:55.0 2.5e-01 * 0 * 0 * 0 49930.00 23.596 9.257 0.921491 4.0e-11 3.31e-15 3.0e-19 -3.200e-26 7.0e-27 * 0 49930.00 120.37 3.0e-02 * 0 17.00 9.0e-01 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.75 * gb3,pks70,pkssw,htru_pks * -1559 J1801-0857A J1801-0857A 18:01:50.6 2.0e-04 -08:57:31.8 1.0e-02 * 0 * 0 * 0 54400.00 19.225 6.762 0.007176 8.0e-16 -5.13e-19 4.0e-23 * 0 * 0 54400.00 182.56 1.0e-02 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 GC:NGC6517 misc * -1560 J1801-0857B J1801-0857B 18:01:50.5 5.0e-04 -08:57:32.8 3.0e-02 * 0 * 0 * 0 54400.00 19.225 6.762 0.028962 3.0e-14 2.19e-18 5.0e-22 * 0 * 0 54400.00 182.39 6.0e-02 * 0 * 0 0.01 0 BT 54757.7226 2.0e-04 59.8365 6.0e-07 33.8755 2.0e-05 0.01 2.0e-08 3.823e-02 7.0e-07 * 0 * 0 * 0 7.20 GC:NGC6517 misc * - -1561 J1801-0857C J1801-0857C 18:01:50.7 7.0e-04 -08:57:32.7 3.0e-02 * 0 * 0 * 0 54400.00 19.225 6.762 0.003739 2.0e-14 -6.50e-20 2.0e-21 * 0 * 0 54400.00 182.26 3.0e-02 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 GC:NGC6517 misc * -1562 J1801-0857D J1801-0857D 18:01:55.3 5.0e-04 -08:57:24.3 3.0e-02 * 0 * 0 * 0 54400.00 19.237 6.746 0.004227 3.0e-15 6.90e-21 6.0e-22 * 0 * 0 54400.00 174.71 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 GC:NGC6517 misc * -1563 J1801-1417 J1801-1417 18:01:51.0 1.9e-05 -14:17:34.5 2.0e-03 -10.890 1.2e-01 -3.000 1.0e+00 * 0 55000.00 14.546 4.162 0.003625 1.7e-15 5.30e-21 3.0e-23 * 0 * 0 55000.00 57.26 4.0e-02 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.10 * pksmb * -1564 J1801-1855 J1801-1855 18:01:22.3 3.0e-01 -18:55:49 4.9e+01 * 0 * 0 * 0 51495.00 10.447 1.978 2.550498 1.0e-09 1.82e-16 2.2e-16 * 0 * 0 51495.00 484.00 1.4e+01 * 0 * 0 0.47 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 20.10 * pksmb,htru_pks * -1565 J1801-1909 J1801-1909 18:01:46.6 3.0e-02 -19:09:36 6.0e+00 * 0 * 0 * 0 51491.00 10.295 1.781 1.108725 5.0e-11 7.03e-16 9.0e-18 * 0 * 0 51491.00 264.00 9.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.90 * pksmb,htru_pks * - -1566 J1801-2115 J1801-2115 18:01:32.4 1.2e-01 -21:15:18 5.3e+01 * 0 * 0 * 0 51887.00 8.446 0.794 0.438113 4.0e-10 1.55e-17 6.0e-18 * 0 * 0 51887.00 778.80 1.0e-01 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.79 * pksmb * -1567 J1801-2154 J1801-2154 18:01:08.3 3.0e-02 -21:54:32 1.2e+01 * 0 * 0 * 0 51895.00 7.831 0.552 0.375297 1.0e-11 1.60e-14 5.0e-19 * 0 * 0 51895.00 386.00 1.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * pksmb,htru_pks * -1568 B1758-23 J1801-2304 18:01:19.8 6.0e-04 -23:04:44.6 1.0e-02 * 0 * 0 * 0 57259.00 6.837 -0.066 0.415827 1.8e-12 1.13e-13 1.1e-19 1.120e-24 4.0e-26 * 0 54000.00 1073.90 6.0e-01 * 0 * 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 SNR:W28(?)[fkv93] jb2,pks1,pksmb,htru_pks * -1569 B1757-24 J1801-2451 18:01:00.0 8.0e-03 -24:51:27.5 2.0e-01 -11.000 9.0e+00 -1.000 1.5e+01 * 0 53348.00 5.254 -0.882 0.124924 8.0e-12 1.28e-13 5.0e-19 4.010e-22 1.0e-23 * 0 52503.00 291.55 5.0e-02 * 0 7.80 0 0.85 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.80 SNR:G5.4-1.2[fk91],XRS:PWN[kggl01] misc,pksmb,htru_pks * -1570 B1758-29 J1801-2920 18:01:46.8 3.0e-03 -29:20:38.6 4.7e-01 * 0 * 0 * 0 50549.00 1.436 -3.249 1.081908 6.0e-12 3.29e-15 9.0e-20 -1.860e-26 1.6e-27 * 0 50549.00 125.61 1.4e-02 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * pks1,pksmb,htru_pks * - -1571 J1801-3210 J1801-3210 18:01:25.8 2.0e-04 -32:10:53.7 1.7e-02 -8.000 2.0e+00 -11.000 1.0e+01 * 0 55001.90 358.922 -4.577 0.007454 3.0e-15 -4.44e-23 3.9e-23 * 0 * 0 55001.90 177.71 4.0e-03 * 0 * 0 0.32 0 ELL1 * 0 20.7717 8.0e-08 7.8093 4.0e-06 59.53 0.0e+00 1.972e-06 0.0e+00 55001.9345 2.0e-06 1.700e-06 1.1e-06 1.000e-06 1.0e-06 6.12 * htru_pks * -1572 J1801-3458 J1801-3458 18:01:52.6 1.1e-01 -34:58:37 7.0e+00 * 0 * 0 * 0 53112.00 356.517 -6.023 1.385604 3.0e-10 3.97e-16 4.0e-17 * 0 * 0 53112.00 146.00 6.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.91 * pksmb * -1573 J1802+0128 J1802+0128 18:02:27.4 2.0e-02 +01:28:23.7 4.0e-01 * 0 * 0 * 0 51650.00 28.612 11.562 0.554262 1.0e-11 2.11e-15 3.0e-18 * 0 * 0 51650.00 97.97 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.68 * pkssw * -1574 J1802+03 J1802+03 18:02:44 3.0e+01 +03:38 8.0e+00 * 0 * 0 * 0 56362.00 30.608 12.488 0.664300 0 * 0 * 0 * 0 56362.00 77.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.10 * ar327 * -1575 J1802-05 J1802-05 18:02:12 0 -05:23:53 0 * 0 * 0 * 0 55561.00 22.419 8.395 1.681000 0 * 0 * 0 * 0 55561.00 130.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * htru_pks * - -1576 J1802-1745 J1802-1745 18:02:14.8 3.0e-02 -17:45:17 7.0e+00 * 0 * 0 * 0 51719.00 11.573 2.377 0.514671 3.0e-11 5.64e-16 1.1e-17 * 0 * 0 51719.00 264.20 3.0e-01 * 0 * 0 0.21 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.61 * pksmb,htru_pks * -1577 J1802-2124 J1802-2124 18:02:05.3 9.0e-06 -21:24:03.6 3.0e-03 -0.850 1.0e-01 4.800 0 1.240 5.7e-01 53453.00 8.382 0.611 0.012648 4.0e-16 7.26e-20 3.0e-23 -1.040e-25 7.0e-27 * 0 53453.00 149.63 6.0e-04 -0.000 3.0e-06 * 0 0.77 9.0e-02 ELL1 * 0 0.6989 5.0e-12 3.7189 5.0e-07 20.34 0.0e+00 2.474e-06 0.0e+00 53452.6333 4.0e-09 8.600e-07 9.0e-08 2.320e-06 4.0e-08 0.76 * pksmb,htru_pks * -1578 J1802-2426 J1802-2426 18:02:03.1 4.0e-02 -24:26:43 3.0e+01 * 0 * 0 * 0 51495.00 5.731 -0.886 0.569007 3.0e-11 8.56e-15 7.0e-18 * 0 * 0 51495.00 711.00 6.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.96 * pksmb,htru_pks * -1579 J1802-3346 J1802-3346 18:02:55.2 1.0e-01 -33:46:45 5.0e+00 * 0 * 0 * 0 54894.00 357.675 -5.629 2.461052 3.0e-09 1.32e-15 9.0e-17 * 0 * 0 54894.00 217.00 5.0e+00 * 0 * 0 0.20 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.68 * htru_pks * -1580 J1803-1616 J1803-1616 18:03:34.6 3.0e-02 -16:16:30 4.0e+00 * 0 * 0 * 0 51991.00 13.020 2.827 0.536596 1.8e-11 1.77e-15 1.2e-18 * 0 * 0 51991.00 388.10 2.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.06 * pksmb,htru_pks * - -1581 J1803-1857 J1803-1857 18:03:59.0 3.0e-02 -18:57:19 8.0e+00 * 0 * 0 * 0 51491.00 10.730 1.428 2.864338 1.3e-10 1.52e-14 4.0e-17 * 0 * 0 51491.00 392.00 1.1e+00 * 0 * 0 0.40 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.81 * pksmb,htru_pks * -1582 J1803-1920 J1803-1920 18:03:29.4 3.0e-02 -19:20:41 7.0e+00 * 0 * 0 * 0 51843.00 10.334 1.338 0.443649 1.6e-11 3.30e-16 8.0e-19 * 0 * 0 51843.00 436.10 1.7e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.55 * pksmb,htru_pks * -1583 B1800-21 J1803-2137 18:03:51.4 1.0e-03 -21:37:07.3 1.0e-02 11.600 1.8e+00 14.800 2.3e+00 * 0 51544.00 8.395 0.146 0.133667 1.7e-13 1.34e-13 1.7e-20 2.079e-22 4.0e-26 * 0 53900.00 233.99 5.0e-02 * 0 23.00 5.0e+00 13.90 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 SNR:G8.7-0.1(?)[kw90],GRS:J1804-216(?)[a jb2,pks1,pksmb,htru_pks HE -1584 J1803-2149 J1803-2149 18:03:09.6 9.0e-03 -21:49:13 4.0e+00 * 0 * 0 * 0 55225.00 8.140 0.187 0.106332 3.0e-12 1.95e-14 7.0e-20 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1803.3-2148[naa+12] FermiBlind NRAD -1585 B1800-27 J1803-2712 18:03:31.6 1.6e-02 -27:12:06 3.6e+00 * 0 * 0 * 0 50261.00 3.494 -2.532 0.334415 3.0e-12 1.71e-17 1.3e-20 2.100e-27 3.5e-27 * 0 50261.00 165.50 3.0e-01 * 0 3.40 0 1.00 1.1e-01 BT 48467.0000 1.0e+00 406.7810 2.0e-03 58.9400 2.0e-03 208.30 9.0e-01 5.070e-04 6.0e-06 * 0 * 0 * 0 3.46 * pks1,pksmb,htru_pks * - -1586 J1803-3002A J1803-3002A 18:03:34.1 0 -30:02:02 0 * 0 * 0 * 0 51544.00 1.025 -3.926 0.007101 0 * 0 * 0 * 0 51544.00 192.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.80 GC:NGC6522 misc * -1587 J1803-3002B J1803-3002B 18:03:34.1 0 -30:02:02 0 * 0 * 0 * 0 54100.00 1.025 -3.926 0.004397 0 * 0 * 0 * 0 54100.00 192.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.80 GC:NGC6522 misc * -1588 J1803-3002C J1803-3002C 18:03:34.1 0 -30:02:02 0 * 0 * 0 * 0 54100.00 1.025 -3.926 0.005840 0 * 0 * 0 * 0 54100.00 194.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.80 GC:NGC6522 misc * -1589 J1803-3329 J1803-3329 18:03:44.4 4.0e-03 -33:29:10.7 3.0e-01 * 0 * 0 * 0 55152.00 358.015 -5.637 0.633412 4.0e-12 3.37e-16 2.0e-19 * 0 * 0 55152.00 170.90 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.82 * htru_pks * -1590 B1802-07 J1804-0735 18:04:49.8 1.6e-03 -07:35:24.6 1.1e-01 * 0 * 0 * 0 50337.00 20.792 6.773 0.023101 3.0e-14 4.67e-19 3.0e-22 3.300e-27 7.6e-27 * 0 50337.00 186.32 1.3e-02 * 0 3.10 0 1.00 5.0e-01 BT 48354.4854 7.0e-05 2.6168 1.0e-07 3.9205 6.0e-05 164.75 1.0e-02 2.120e-01 3.0e-05 * 0 * 0 * 0 7.80 GC:NGC6539 misc,htru_pks * - -1591 J1804-2228 J1804-2228 18:04:28.1 9.0e-02 -22:28:18 5.5e+01 * 0 * 0 * 0 51414.00 7.722 -0.397 0.570511 1.0e-10 1.43e-16 1.0e-17 * 0 * 0 51414.00 424.00 7.0e+00 * 0 * 0 0.20 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.06 * pksmb,htru_pks * -1592 J1804-2717 J1804-2717 18:04:21.1 1.9e-05 -27:17:31.3 4.0e-03 2.560 1.5e-01 -17.000 3.0e+00 * 0 51041.00 3.505 -2.736 0.009343 4.0e-15 4.09e-20 5.0e-23 -5.900e-28 4.0e-26 * 0 55000.00 24.67 5.0e-03 * 0 15.00 4.0e+00 0.40 2.0e-01 DD 49615.0800 9.0e-03 11.1287 3.0e-09 7.2815 7.0e-07 158.70 3.0e-01 3.406e-05 1.6e-07 * 0 * 0 * 0 0.80 * pks70,pksmb * -1593 J1804-28 J1804-28 18:04:48 3.0e+01 -28:07 7.0e+00 * 0 * 0 * 0 51973.70 2.833 -3.225 1.273011 9.0e-06 * 0 * 0 * 0 51973.70 203.50 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.78 * pksmb,htru_pks * -1594 B1802+03 J1805+0306 18:05:10.1 1.9e-03 +03:06:30.2 1.1e-01 * 0 * 0 * 0 49946.00 30.413 11.708 0.218712 1.5e-12 9.99e-16 7.0e-21 1.700e-26 4.0e-27 * 0 49946.00 80.86 8.0e-03 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.26 * gb3,pkssw * -1595 J1805+06 J1805+06 18:05:55 6.0e+01 +06:14 1.5e+01 * 0 * 0 * 0 57022.00 33.355 12.949 0.002130 0 * 0 * 0 * 0 57022.00 65.00 0 * 0 * 0 * 0 BT * 0 0.3375 0 0.0880 0 * 0 * 0 * 0 * 0 * 0 3.88 GRS:3FGL_J1805.9+0614[cck+16] FermiAssoc * - -1596 J1805-0619 J1805-0619 18:05:31.4 9.0e-03 -06:19:45.4 4.0e-01 * 0 * 0 * 0 51650.00 21.990 7.225 0.454651 7.0e-12 9.69e-16 1.3e-18 * 0 * 0 51650.00 146.22 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.34 * pkssw,htru_pks * -1597 J1805-1504 J1805-1504 18:05:06.1 1.7e-01 -15:04:36 1.8e+01 * 0 * 0 * 0 53035.00 14.246 3.093 1.181269 3.0e-10 2.73e-16 3.0e-17 * 0 * 0 53035.00 225.00 3.0e+00 * 0 * 0 4.32 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * pksmb,htru_pks * -1598 J1805-2032 J1805-2032 18:05:37.0 6.0e-02 -20:32:51 2.1e+01 * 0 * 0 * 0 51149.00 9.530 0.313 0.405769 5.0e-11 8.39e-15 7.0e-18 * 0 * 0 51149.00 932.30 2.0e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * pksmb,htru_pks * -1599 J1805-2037 J1805-2037 18:05:28.1 3.0e-02 -20:37:16 1.1e+01 * 0 * 0 * 0 51388.00 9.449 0.307 0.357807 1.3e-11 1.76e-15 1.6e-18 * 0 * 0 51388.00 708.10 1.6e+00 * 0 * 0 0.34 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pksmb,htru_pks * -1600 J1805-2447 J1805-2447 18:05:25.9 3.0e-02 -24:47:30 1.4e+01 * 0 * 0 * 0 51936.00 5.807 -1.725 0.661402 1.4e-11 5.82e-18 7.0e-19 * 0 * 0 51936.00 269.00 3.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * pksmb * - -1601 J1805-2948 J1805-2948 18:05:42.4 1.0e-02 -29:48:00 2.0e+00 * 0 * 0 * 0 55137.00 1.456 -4.217 0.428341 2.0e-10 4.74e-16 5.0e-18 * 0 * 0 55137.00 167.90 9.0e-01 * 0 * 0 0.18 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.59 * htru_pks * -1602 J1806+1023 J1806+1023 18:06:52.1 3.0e-03 +10:23:18.3 1.2e-01 * 0 * 0 * 0 53000.00 37.305 14.560 0.484286 2.0e-12 5.73e-17 4.0e-20 * 0 * 0 53000.00 52.03 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.95 * pkssw * -1603 B1804-12 J1806-1154 18:06:06.7 9.6e-03 -11:54:28.7 1.1e+00 * 0 * 0 * 0 50134.00 17.142 4.417 0.522618 4.0e-12 1.41e-15 3.0e-20 8.400e-27 2.5e-27 * 0 50134.00 122.41 5.0e-02 * 0 4.00 0 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * gb3,pks70,pksmb,htru_pks * -1604 J1806-1618 J1806-1618 18:06:25.7 6.0e-02 -16:18:38 8.0e+00 * 0 * 0 * 0 51843.00 13.323 2.213 0.668309 5.0e-11 8.62e-16 3.0e-18 * 0 * 0 51843.00 319.00 5.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.14 * pksmb,htru_pks * -1605 J1806-1920 J1806-1920 18:06:06.6 2.0e-01 -19:20:23 4.0e+01 * 0 * 0 * 0 51271.00 10.641 0.802 0.879791 7.0e-10 1.70e-17 2.1e-17 4.700e-24 4.5e-24 * 0 51271.00 683.00 7.0e+00 * 0 * 0 1.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.76 * pksmb,htru_pks * - -1606 J1806-2125 J1806-2125 18:06:19.5 8.0e-02 -21:25:40 2.4e+01 * 0 * 0 * 0 51894.00 8.843 -0.261 0.481789 3.0e-09 1.21e-13 5.0e-16 6.200e-22 1.2e-22 * 0 51894.00 747.00 1.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * pksmb,htru_pks * -1607 J1807+04 J1807+04 18:07:25 3.0e+01 +04:05 8.0e+00 * 0 * 0 * 0 56496.00 31.560 11.650 0.798900 0 * 0 * 0 * 0 56496.00 53.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * ar327 * -1608 J1807+0756 J1807+0756 18:07:51.2 2.0e-03 +07:56:43.3 5.0e-02 * 0 * 0 * 0 53064.00 35.149 13.276 0.464300 2.0e-12 1.29e-16 2.0e-19 * 0 * 0 53064.00 89.29 3.0e-02 * 0 2.16 6.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * ar4,gb4 * -1609 B1804-08 J1807-0847 18:07:38.0 4.0e-04 -08:47:43.2 2.0e-02 -5.000 4.0e+00 1.000 4.0e+00 * 0 48244.00 20.061 5.587 0.163727 9.0e-14 2.88e-17 4.0e-22 -4.790e-27 2.0e-28 * 0 48244.00 112.38 1.1e-03 * 0 65.00 4.0e+00 15.00 1.5e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.50 * mol2,gb3,pks70,pkssw,pksmb,htru_pks * -1610 J1807-2459A J1807-2459A 18:07:20.3 1.6e-05 -24:59:52.9 6.5e-03 * 0 * 0 * 0 50851.90 5.837 -2.203 0.003059 3.0e-17 -4.34e-21 2.6e-24 * 0 * 0 55243.00 134.00 5.8e-04 * 0 * 0 1.10 1.2e-01 BT 55242.9944 2.4e-07 0.0711 2.9e-11 0.0122 1.2e-07 * 0 0.000e+00 1.1e-04 * 0 * 0 * 0 2.79 GC:NGC6544 pksgc,pksmb,htru_pks * - -1611 J1807-2459B J1807-2459B 18:07:20.8 5.3e-05 -25:00:01.9 1.7e-02 * 0 * 0 * 0 54881.35 5.836 -2.206 0.004186 2.5e-16 8.23e-20 1.8e-24 * 0 * 0 54881.35 137.15 2.0e-03 * 0 * 0 * 0 DD 54881.3474 2.2e-07 9.9567 2.7e-09 28.9204 4.4e-05 11.33 1.8e-05 7.470e-01 4.0e-08 * 0 * 0 * 0 2.79 GC:NGC6544 misc * -1612 J1807-2557 J1807-2557 18:07:13.6 1.0e-02 -25:57:20 5.0e+00 * 0 * 0 * 0 54984.00 4.987 -2.646 2.764195 4.0e-11 4.99e-15 2.0e-18 * 0 * 0 54984.00 385.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.58 * pksmb RRAT -1613 B1804-27 J1807-2715 18:07:08.4 8.2e-03 -27:15:03.0 1.4e+00 * 0 * 0 * 0 49891.00 3.843 -3.257 0.827776 9.0e-12 1.22e-14 7.0e-20 -8.200e-26 3.0e-27 * 0 49891.00 312.98 3.0e-02 * 0 25.00 0 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.38 * mol2,pks70,pksmb,htru_pks * -1614 J1808+00 J1808+00 18:08:19 1.6e+01 +00:34 5.0e+00 * 0 * 0 * 0 49717.00 28.480 9.844 0.425115 3.0e-06 * 0 * 0 * 0 49717.00 141.00 2.8e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.90 * ar4,pkssw * -1615 J1808-0813 J1808-0813 18:08:09.4 9.4e-03 -08:13:01.8 6.8e-01 * 0 * 0 * 0 50862.00 20.634 5.750 0.876044 6.0e-12 1.24e-15 6.0e-20 2.000e-27 2.3e-27 * 0 50862.00 151.27 6.0e-02 * 0 28.00 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * pks70,pkssw,pksmb,htru_pks * - -1616 J1808-1020 J1808-1020 18:08:45.6 6.0e-03 -10:20:48.3 4.0e-01 * 0 * 0 * 0 53035.00 18.828 4.600 0.596993 4.0e-12 7.72e-16 4.0e-19 * 0 * 0 53035.00 225.30 8.0e-01 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.08 * pksmb,htru_pks * -1617 J1808-1517 J1808-1517 18:08:39.0 2.0e-02 -15:17:40 2.0e+00 * 0 * 0 * 0 55105.40 14.472 2.239 0.544549 8.0e-12 2.67e-15 5.0e-19 * 0 * 0 55105.40 205.00 5.0e+00 * 0 * 0 0.35 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.31 * pksmb * -1618 J1808-1726 J1808-1726 18:08:42.3 3.0e-01 -17:26:27 4.2e+01 * 0 * 0 * 0 53108.00 12.599 1.188 0.241035 9.0e-11 1.16e-17 1.2e-17 * 0 * 0 53108.00 536.00 7.0e+00 * 0 * 0 0.39 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.17 * pksmb * -1619 J1808-2024 J1808-2024 18:08:39.3 4.0e-03 -20:24:39.8 6.0e-02 -4.500 1.4e+00 -6.900 2.0e+00 * 0 53254.00 9.996 -0.242 7.555920 5.0e-05 5.49e-10 9.0e-12 -1.780e-20 2.1e-21 * 0 53254.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.00 SNR:G10.0-0.3(?),SGR_1806-20 misc AXP,NRAD -1620 B1805-20 J1808-2057 18:08:06.3 1.1e-02 -20:58:08 2.9e+00 * 0 * 0 * 0 49612.00 9.446 -0.400 0.918410 1.1e-11 1.71e-14 9.0e-20 7.870e-26 1.8e-27 * 0 49612.00 606.80 9.0e-01 * 0 * 0 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.58 * jb2,pks1,pksmb,htru_pks * - -1621 J1808-2701 J1808-2701 18:08:13.2 4.0e-02 -27:01:21 9.0e+00 * 0 * 0 * 0 53112.00 4.160 -3.357 2.457882 1.2e-10 6.58e-14 1.1e-17 * 0 * 0 53112.00 95.00 4.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.71 * pksmb * -1622 J1808-3249 J1808-3249 18:08:04.4 2.0e-02 -32:49:34 1.0e+00 * 0 * 0 * 0 51500.00 359.035 -6.115 0.364912 1.0e-11 7.05e-15 1.0e-18 * 0 * 0 51500.00 147.37 1.9e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.27 * pkssw,htru_pks * -1623 J1809-0119 J1809-0119 18:09:51.3 1.0e-02 -01:19:29.0 4.0e-01 * 0 * 0 * 0 55254.00 26.962 8.627 0.744976 3.0e-10 2.29e-15 2.0e-17 * 0 * 0 55254.00 140.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.09 * htru_pks * -1624 J1809-0743 J1809-0743 18:09:35.9 1.0e-02 -07:43:01.4 5.0e-01 * 0 * 0 * 0 51650.00 21.247 5.675 0.313886 5.0e-12 1.52e-16 9.0e-19 * 0 * 0 51650.00 240.70 1.4e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.99 * pkssw,pksmb * -1625 J1809-1429 J1809-1429 18:09:45.5 8.0e-03 -14:29:25.0 1.2e+00 * 0 * 0 * 0 51495.00 15.306 2.393 0.895285 1.3e-11 5.24e-15 4.0e-18 * 0 * 0 51495.00 411.30 1.6e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.12 * pksmb,htru_pks * - -1626 J1809-1850 J1809-1850 18:09:37.2 1.2e-01 -18:50:55 2.1e+01 * 0 * 0 * 0 51871.00 11.473 0.316 1.124481 1.7e-10 1.06e-14 8.0e-18 * 0 * 0 51871.00 598.00 1.3e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.67 * pksmb * -1627 J1809-1917 J1809-1917 18:09:43.1 7.0e-03 -19:17:38.1 1.3e+00 * 0 * 0 * 0 51506.00 11.094 0.080 0.082747 3.0e-12 2.55e-14 4.0e-20 3.220e-23 5.0e-25 * 0 51506.00 197.10 4.0e-01 * 0 * 0 2.50 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 XRS:PWN[kp07] pksmb,htru_pks * -1628 J1809-1943 J1809-1943 18:09:51.0 3.0e-04 -19:43:51.9 4.0e-03 -6.600 6.0e-02 -11.700 1.0e+00 * 0 55444.00 10.727 -0.158 5.540743 2.0e-08 2.83e-12 1.1e-15 4.100e-23 3.0e-24 * 0 55444.00 178.00 5.0e+00 * 0 * 0 0.68 2.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 XRS:XTE_J1810-197 misc AXP,HE -1629 J1809-2004 J1809-2004 18:09:15.8 1.5e-01 -20:04:12 5.7e+01 * 0 * 0 * 0 51719.00 10.363 -0.202 0.434811 1.6e-10 7.28e-15 6.0e-17 * 0 * 0 51719.00 867.10 1.7e+00 * 0 * 0 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.23 * pksmb,htru_pks * -1630 B1806-21 J1809-2109 18:09:14.3 3.7e-03 -21:09:02.9 1.4e+00 * 0 * 0 * 0 49612.00 9.415 -0.720 0.702414 4.0e-12 3.82e-15 3.0e-20 -2.400e-27 1.1e-27 * 0 49612.00 381.91 5.0e-02 * 0 * 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * jb2,pksmb,htru_pks * - -1631 J1809-2332 J1809-2332 18:09:50.2 3.0e-02 -23:32:22.6 1.0e-01 12.000 8.0e+00 -24.000 6.0e+00 * 0 55770.00 7.390 -1.995 0.146789 7.0e-12 3.44e-14 3.0e-19 * 0 * 0 54935.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 GRS:2FGL_J1809.8-2332[naa+12],PWN:[brrk0 FermiBlind NRAD -1632 J1809-3547 J1809-3547 18:09:26.9 4.0e-02 -35:47:18 2.0e+00 * 0 * 0 * 0 49388.90 356.541 -7.766 0.860388 7.0e-10 1.20e-16 1.0e-17 * 0 * 0 49388.90 193.84 7.0e-02 * 0 21.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 22.64 * pks70,htru_pks * -1633 J1810-1441 J1810-1441 18:10:59.1 1.4e-02 -14:41:33.6 1.3e+00 * 0 * 0 * 0 51874.00 15.272 2.035 0.217214 4.0e-12 2.39e-17 1.9e-19 * 0 * 0 51874.00 304.90 1.3e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pksmb,htru_pks * -1634 J1810+1744 J1810+1744 18:10:37.2 1.0e-02 +17:44:37.3 7.0e-02 * 0 * 0 * 0 55196.00 44.642 16.806 0.001660 0 * 0 * 0 * 0 55196.00 39.70 0 * 0 20.00 0 * 0 BT * 0 0.1500 0 0.0950 0 * 0 * 0 * 0 * 0 * 0 2.36 OPT:[bvr+13] FermiAssoc HE -1635 J1810-1820 J1810-1820 18:10:55.5 3.0e-02 -18:20:39 6.0e+00 * 0 * 0 * 0 50972.00 12.064 0.289 0.153716 8.0e-12 5.22e-17 3.0e-18 * 0 * 0 50972.00 452.20 2.5e+00 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * - -1636 J1810-2005 J1810-2005 18:10:58.9 6.0e-04 -20:05:08.2 1.4e-01 0.000 2.0e+00 17.000 3.7e+01 * 0 53200.00 10.545 -0.563 0.032822 8.0e-15 1.47e-19 1.2e-22 * 0 * 0 53200.00 241.00 3.0e-01 * 0 * 0 1.33 2.0e-02 ELL1 * 0 15.0120 4.0e-08 11.9779 1.8e-05 152.10 0.0e+00 1.924e-05 0.0e+00 53195.5285 4.0e-06 9.000e-06 3.0e-06 -1.700e-05 3.0e-06 3.51 * pksmb,htru_pks * -1637 B1806-53 J1810-5338 18:10:44.4 6.0e-02 -53:38:07.7 1.2e+00 * 0 * 0 * 0 43558.14 340.291 -15.901 0.261049 7.0e-11 3.83e-16 4.0e-18 * 0 * 0 43558.14 45.00 2.0e+00 * 0 12.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.65 * mol2,pks70,pkssw * -1638 J1811-0154 J1811-0154 18:11:19.8 3.0e-02 -01:54:30.9 7.0e-01 * 0 * 0 * 0 51650.00 26.613 8.029 0.924945 4.0e-11 1.61e-15 6.0e-18 * 0 * 0 51650.00 148.10 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.11 * pkssw,htru_pks * -1639 J1811+0702 J1811+0702 18:11:20.4 7.0e-02 +07:02:29.7 2.0e-01 * 0 * 0 * 0 51885.00 34.709 12.102 0.461713 3.0e-11 2.69e-15 1.0e-18 * 0 * 0 51885.00 57.80 1.0e-01 * 0 2.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.96 * ar4,pkssw * -1640 J1811-1049 J1811-1049 18:11:17.0 8.0e-02 -10:49:03 4.0e+00 * 0 * 0 * 0 55983.50 18.712 3.830 2.623859 3.0e-10 8.00e-16 2.0e-16 * 0 * 0 55983.50 253.30 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.67 * pksmb * - -1641 J1811-1717 J1811-1717 18:11:26.5 1.9e-01 -17:17:47 1.4e+01 * 0 * 0 * 0 56762.00 13.041 0.686 0.391385 9.0e-11 1.20e-16 8.0e-19 * 0 * 0 56762.00 545.50 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * htru_pks * -1642 J1811-1736 J1811-1736 18:11:55.0 3.0e-03 -17:36:37.7 4.0e-01 * 0 * 0 * 0 51050.00 12.821 0.435 0.104182 4.0e-13 9.01e-19 5.0e-21 * 0 * 0 51050.00 476.00 5.0e+00 * 0 * 0 1.30 3.0e-01 BT 50875.0245 3.0e-05 18.7792 4.0e-07 34.7827 5.0e-04 127.66 1.1e-03 8.280e-01 9.0e-06 * 0 * 0 * 0 4.43 * pksmb,htru_pks * -1643 J1811-1835 J1811-1835 18:11:29.7 9.0e-02 -18:35:44 1.3e+01 * 0 * 0 * 0 51184.00 11.909 0.049 0.557464 1.0e-10 6.31e-15 1.3e-17 * 0 * 0 51184.00 761.00 1.1e+01 * 0 * 0 0.42 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.93 * pksmb,htru_pks * -1644 J1811-1925 J1811-1925 18:11:29.2 1.0e-01 -19:25:28 1.0e+00 * 0 * 0 * 0 49452.60 11.181 -0.348 0.064667 2.0e-08 4.40e-14 4.0e-16 * 0 * 0 49452.60 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 SNR:G11.2-0.3 misc NRAD -1645 J1811-2405 J1811-2405 18:11:19.8 2.0e-05 -24:05:18.3 1.1e-02 0.650 1.4e-01 -9.100 5.2e+00 0.200 2.0e-01 55208.50 7.073 -2.559 0.002661 7.0e-17 1.34e-20 1.5e-24 * 0 * 0 55208.50 60.60 1.7e-03 * 0 * 0 0.37 0 ELL1 * 0 6.2723 1.2e-09 5.7057 3.0e-07 62.81 0.0e+00 1.641e-06 0.0e+00 55136.1686 7.0e-08 1.460e-06 1.0e-07 7.500e-07 1.0e-07 1.83 * htru_pks * - -1646 J1811-2439 J1811-2439 18:11:55.5 3.0e-02 -24:39:53 9.0e+00 * 0 * 0 * 0 53165.00 6.632 -2.954 0.415813 1.1e-11 2.97e-16 1.1e-18 * 0 * 0 53165.00 172.00 5.0e-01 * 0 * 0 0.26 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.94 * pksmb,htru_pks * -1647 J1811-4930 J1811-4930 18:11:27.1 1.0e-02 -49:30:20.8 2.0e-01 * 0 * 0 * 0 54996.00 344.222 -14.267 1.432704 1.0e-10 2.25e-15 5.0e-18 * 0 * 0 54996.00 44.00 5.0e-01 * 0 * 0 0.46 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.45 * htru_pks * -1648 B1810+02 J1812+0226 18:12:53.1 6.5e-03 +02:26:57.1 1.8e-01 * 0 * 0 * 0 49906.00 30.709 9.692 0.793903 3.0e-12 3.60e-15 3.0e-20 3.700e-28 8.4e-28 * 0 49906.00 104.14 3.0e-02 * 0 3.80 3.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 * gb3,pkssw * -1649 B1809-173 J1812-1718 18:12:07.2 7.7e-03 -17:18:29.5 1.1e+00 * 0 * 0 * 0 49612.00 13.109 0.538 1.205374 9.0e-11 1.91e-14 1.5e-17 5.800e-26 6.0e-27 * 0 54600.00 255.10 1.8e+00 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * jb2,pksmb,htru_pks * -1650 B1809-176 J1812-1733 18:12:15.8 1.7e-04 -17:33:37.8 2.0e-03 * 0 * 0 * 0 57382.00 12.904 0.387 0.538341 9.0e-12 9.82e-16 5.0e-20 -1.400e-26 5.0e-27 * 0 50283.00 518.00 4.0e+00 * 0 * 0 3.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.52 * jb2,pksmb,htru_pks * - -1651 J1812-1910 J1812-1910 18:12:34.8 1.0e-01 -19:10:39 1.0e+01 * 0 * 0 * 0 51997.00 11.522 -0.456 0.430991 6.0e-11 3.77e-14 3.0e-17 * 0 * 0 51997.00 892.00 5.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.95 * pksmb,htru_pks * -1652 J1812-2102 J1812-2102 18:12:20.9 6.0e-02 -21:02:36 1.5e+01 * 0 * 0 * 0 51134.00 9.859 -1.303 1.223352 9.0e-11 2.39e-14 9.0e-18 * 0 * 0 51134.00 547.20 1.0e+00 * 0 * 0 1.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.42 * pksmb,htru_pks * -1653 J1812-2526 J1812-2526 18:12:32.3 3.0e-02 -25:26:38 7.0e+00 * 0 * 0 * 0 53171.00 6.013 -3.448 0.315835 8.0e-12 1.77e-16 9.0e-19 * 0 * 0 53171.00 361.40 4.0e-01 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 22.26 * pksmb,htru_pks * -1654 J1812-2748 J1812-2748 18:12:40.5 1.0e-02 -27:48:03 2.0e+00 * 0 * 0 * 0 55160.00 3.949 -4.598 0.236983 9.0e-12 3.16e-16 4.0e-19 * 0 * 0 55160.00 104.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.94 * htru_pks * -1655 J1812-3039 J1812-3039 18:12:44.9 9.0e-03 -30:39:21 1.0e+00 * 0 * 0 * 0 55336.00 1.431 -5.962 0.587477 2.0e-11 6.60e-16 8.0e-19 * 0 * 0 55336.00 138.90 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.23 * htru_pks * - -1656 J1813-1246 J1813-1246 18:13:23.7 1.0e-02 -12:45:59.2 1.5e+00 * 0 * 0 * 0 54954.00 17.244 2.445 0.048072 7.0e-12 1.76e-14 3.0e-19 * 0 * 0 54954.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 GRS:2FGL_J1813.4-1246[naa+12],XRS:Swift_ FermiBlind NRAD -1657 J1813-1749 J1813-1749 18:13:35.1 2.1e-02 -17:49:57.4 3.0e-01 * 0 * 0 * 0 53993.00 12.816 -0.020 0.044699 6.0e-10 1.27e-13 7.0e-17 * 0 * 0 54918.14 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.70 SNR:12.8-0.0,GRS:HESS_J1813-178 misc NRAD -1658 J1813+1822 J1813+1822 18:13:38.7 5.0e-02 +18:22:15.0 9.0e-01 * 0 * 0 * 0 51886.00 45.544 16.401 0.336425 9.0e-10 2.10e-17 8.0e-18 * 0 * 0 51886.00 60.80 5.0e-01 * 0 0.60 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * ar4 * -1659 J1813-2113 J1813-2113 18:13:39.8 3.0e-02 -21:13:00.4 7.3e+00 * 0 * 0 * 0 51018.00 9.853 -1.656 0.426466 1.3e-11 2.08e-15 6.0e-18 * 0 * 0 51018.00 462.30 1.5e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.02 * pksmb,htru_pks * -1660 J1813-2242 J1813-2242 18:13:29.1 8.0e-02 -22:42:06 4.2e+01 * 0 * 0 * 0 51843.00 8.529 -2.329 0.328514 1.5e-11 4.78e-17 6.0e-19 * 0 * 0 51843.00 333.00 3.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.48 * pksmb,htru_pks * - -1661 J1813-2621 J1813-2621 18:13:40.5 1.0e-04 -26:21:57.0 1.8e-02 -7.300 9.0e-01 -22.000 1.6e+01 * 0 54058.00 5.322 -4.112 0.004430 1.8e-15 1.25e-20 6.0e-24 * 0 * 0 54058.00 112.52 9.0e-03 * 0 * 0 0.65 0 ELL1 * 0 8.1598 1.0e-08 5.5926 3.0e-06 289.80 0.0e+00 2.657e-06 0.0e+00 54054.9328 6.0e-07 -2.500e-06 1.0e-06 9.000e-07 8.0e-07 3.01 * pksmb * -1662 B1811+40 J1813+4013 18:13:13.2 7.0e-03 +40:13:39.0 1.1e-01 * 0 * 0 * 0 49886.00 67.408 24.033 0.931089 3.0e-12 2.55e-15 3.0e-20 1.490e-26 6.0e-28 * 0 49886.00 41.56 2.2e-04 * 0 8.00 2.0e+00 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * gb1,gb4 * -1663 J1814-0521 J1814-0521 18:14:26.1 2.0e-02 -05:21:37.0 8.0e-01 * 0 * 0 * 0 55257.00 23.905 5.730 1.014219 6.0e-11 8.84e-16 3.0e-18 * 0 * 0 55257.00 130.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * htru_pks * -1664 J1814-0618 J1814-0618 18:14:41.2 7.0e-02 -06:18:01.7 3.3e+00 * 0 * 0 * 0 53095.00 23.101 5.233 1.377868 1.4e-10 2.92e-16 1.6e-17 * 0 * 0 53095.00 168.00 6.0e+00 * 0 * 0 0.58 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.99 * pksmb * -1665 J1814+1130 J1814+1130 18:14:42.7 2.0e-03 +11:30:43.9 5.0e-02 * 0 * 0 * 0 51500.00 39.205 13.306 0.751261 3.0e-12 1.66e-15 8.0e-20 * 0 * 0 51500.00 65.00 1.0e+00 * 0 0.72 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * misc * - -1666 J1814-1649 J1814-1649 18:14:37.3 4.0e-02 -16:49:28 5.0e+00 * 0 * 0 * 0 51133.00 13.820 0.245 0.957464 7.0e-11 6.33e-15 7.0e-18 * 0 * 0 51133.00 782.00 6.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.21 * pksmb,htru_pks * -1667 J1814-1744 J1814-1744 18:14:43.1 5.0e-02 -17:44:48 8.0e+00 * 0 * 0 * 0 52353.00 13.021 -0.215 3.975905 1.6e-08 7.45e-13 4.0e-16 * 0 * 0 52353.00 792.00 1.6e+01 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb,htru_pks * -1668 J1815-1738 J1815-1738 18:15:14.6 9.0e-03 -17:38:03.0 1.2e+00 * 0 * 0 * 0 52204.00 13.179 -0.272 0.198436 1.6e-12 7.79e-14 1.2e-19 * 0 * 0 52204.00 724.60 2.0e-01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.89 * pksmb,htru_pks * -1669 J1815-1910 J1815-1910 18:15:03.0 4.0e-02 -19:10:00.4 7.5e+00 * 0 * 0 * 0 50954.00 11.810 -0.963 1.249924 8.0e-11 3.63e-14 3.0e-17 * 0 * 0 50954.00 547.80 4.0e-01 * 0 * 0 0.32 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.08 * pksmb,htru_pks * -1670 J1815+55 J1815+55 18:15 2.0e+00 +55:29 1.8e+01 * 0 * 0 * 0 56292.00 83.992 27.101 0.426802 1.3e-05 * 0 * 0 * 0 56292.00 59.00 2.0e+00 * 0 4.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gbncc * - -1671 J1816-0755 J1816-0755 18:16:24.5 6.0e-03 -07:55:22.5 4.0e-01 * 0 * 0 * 0 53035.00 21.867 4.092 0.217643 1.5e-12 6.48e-15 1.5e-19 * 0 * 0 53035.00 116.80 4.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.13 * pksmb,htru_pks * -1672 J1816-1446 J1816-1446 18:16:29.1 3.0e-02 -14:46:30 3.0e+00 * 0 * 0 * 0 51969.00 15.836 0.828 0.594500 1.8e-11 1.33e-15 1.1e-18 * 0 * 0 51969.00 629.00 4.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.13 * pksmb,htru_pks * -1673 B1813-17 J1816-1729 18:16:18.6 4.9e-03 -17:29:02.7 6.8e-01 * 0 * 0 * 0 49481.00 13.433 -0.424 0.782313 4.0e-11 7.26e-15 3.0e-19 -1.710e-25 7.0e-27 * 0 49481.00 525.50 7.0e-01 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.44 * jb2,pksmb,htru_pks * -1674 B1813-26 J1816-2650 18:16:35.4 1.2e-02 -26:49:53 2.9e+00 * 0 * 0 * 0 48739.00 5.219 -4.906 0.592885 3.0e-12 6.64e-17 1.5e-20 -1.200e-27 5.0e-28 * 0 48739.00 128.12 3.0e-02 * 0 18.00 2.0e+00 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.59 * mol1,jb1,mol2,pks70,pkssw,pksmb,htr * -1675 J1816+4510 J1816+4510 18:16:35.9 7.0e-05 +45:10:33.8 8.0e-04 5.300 8.0e-01 -3.000 1.0e+00 * 0 56047.00 72.830 24.735 0.003193 2.0e-16 4.31e-20 1.0e-23 * 0 * 0 56047.00 38.89 4.0e-04 * 0 1.50 0 * 0 ELL1 * 0 0.3609 2.0e-10 0.5954 1.0e-06 39.81 0.0e+00 7.810e-06 0.0e+00 56047.5491 2.0e-07 5.000e-06 3.0e-06 6.000e-06 4.0e-06 4.36 GRS:1FGL_J1816.7+4509[aaa+10g],OPT:[kbv+ gbncc HE[ksr+12] - -1676 J1816-5643 J1816-5643 18:16:36.4 7.0e-03 -56:43:42.1 6.0e-02 * 0 * 0 * 0 53000.00 337.673 -17.898 0.217923 1.3e-12 1.93e-18 6.0e-20 * 0 * 0 53000.00 52.40 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.58 * pkssw * -1677 J1817-0743 J1817-0743 18:17:49.7 5.0e-02 -07:43:18.9 1.4e+00 * 0 * 0 * 0 52887.00 22.211 3.876 0.438095 1.8e-11 -2.30e-18 8.3e-18 * 0 * 0 52887.00 14.80 4.0e-01 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * pksmb * -1678 J1817-1511 J1817-1511 18:17:36.2 6.0e-02 -15:11:39 6.0e+00 * 0 * 0 * 0 52160.00 15.595 0.391 0.224604 1.6e-11 1.43e-15 9.0e-19 * 0 * 0 52160.00 970.00 5.0e+00 * 0 * 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.32 * pksmb,htru_pks * -1679 J1817-1938 J1817-1938 18:17:06.8 8.0e-02 -19:38:36 1.2e+01 * 0 * 0 * 0 55991.80 11.623 -1.617 2.046838 2.0e-10 3.60e-16 9.0e-17 * 0 * 0 55991.80 519.60 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.07 * htru_pks,pksmb * -1680 B1814-23 J1817-2311 18:17 4.0e+00 -23:11 1.5e+01 * 0 * 0 * 0 44969.00 8.489 -3.270 0.625470 2.0e-05 * 0 * 0 * 0 44969.00 240.00 4.0e+01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.93 * misc * - -1681 B1813-36 J1817-3618 18:17:05.7 1.4e-02 -36:18:04.0 6.0e-01 * 0 * 0 * 0 43558.13 356.801 -9.374 0.387017 3.0e-11 2.05e-15 1.4e-18 * 0 * 0 43558.13 94.30 5.0e-01 * 0 22.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * mol2,pks70,pkssw,htru_pks * -1682 J1817-3837 J1817-3837 18:17:00.2 4.0e-03 -38:37:59.7 2.0e-01 * 0 * 0 * 0 49526.46 354.678 -10.406 0.384487 2.0e-11 5.80e-16 6.0e-19 * 0 * 0 49526.46 102.85 6.0e-03 * 0 12.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * pks70,pkssw,htru_pks * -1683 J1818-01 J1818-01 18:18:15 0 -01:49:02 0 * 0 * 0 * 0 55561.00 27.503 6.540 0.838500 0 * 0 * 0 * 0 55561.00 210.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.78 * htru_pks * -1684 J1818-1116 J1818-1116 18:18:26.4 6.0e-02 -11:16:29 7.0e+00 * 0 * 0 * 0 52158.00 19.144 2.068 0.544800 5.0e-11 3.82e-15 6.0e-18 * 0 * 0 52158.00 422.00 7.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.03 * pksmb * -1685 B1815-14 J1818-1422 18:18:23.7 1.7e-03 -14:22:36.7 1.6e-01 * 0 * 0 * 0 54000.00 16.405 0.610 0.291489 4.0e-13 2.04e-15 1.7e-20 -4.460e-25 3.0e-27 * 0 54100.00 622.00 4.0e-01 * 0 * 0 7.10 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.46 * jb2,pks1,pksmb,htru_pks * - -1686 J1818-1448 J1818-1448 18:18:27.9 6.0e-02 -14:48:38 7.0e+00 * 0 * 0 * 0 54863.10 16.031 0.390 0.281371 6.0e-11 6.15e-15 2.0e-17 * 0 * 0 54863.10 644.00 6.0e+00 * 0 * 0 0.19 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * pksmb * -1687 J1818-1519 J1818-1519 18:18:14.6 3.0e-01 -15:19:43 3.6e+01 * 0 * 0 * 0 51415.00 15.550 0.192 0.939690 5.0e-10 4.11e-15 7.0e-17 * 0 * 0 51415.00 845.00 6.0e+00 * 0 * 0 2.10 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * pksmb,htru_pks * -1688 J1818-1541 J1818-1541 18:18:37.5 3.0e-02 -15:41:45 5.0e+00 * 0 * 0 * 0 51491.00 15.270 -0.063 0.551134 3.0e-11 9.68e-15 7.0e-18 * 0 * 0 51491.00 690.00 5.0e+00 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb,htru_pks * -1689 J1818-1556 J1818-1556 18:18:51.9 2.0e-02 -15:56:04 2.0e+00 * 0 * 0 * 0 54263.40 15.087 -0.227 0.952709 1.9e-11 7.06e-16 1.9e-18 * 0 * 0 54263.40 230.00 4.0e+00 * 0 * 0 0.49 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * -1690 J1819-0925 J1819-0925 18:19:50.5 1.9e-02 -09:25:49.9 1.3e+00 * 0 * 0 * 0 52105.00 20.935 2.633 0.852047 1.5e-11 3.13e-15 1.1e-18 * 0 * 0 52105.00 378.00 3.0e+00 * 0 * 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.82 * pksmb,htru_pks * - -1691 J1819-1008 J1819-1008 18:19:39.9 1.7e-02 -10:08:28 4.0e+00 * 0 * 0 * 0 52182.00 20.287 2.337 0.301490 7.0e-12 1.32e-15 5.0e-19 * 0 * 0 52182.00 404.00 3.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.56 * pksmb,htru_pks * -1692 J1819-1114 J1819-1114 18:19:28.7 1.0e-02 -11:14:43 1.0e+00 * 0 * 0 * 0 54849.90 19.291 1.857 0.294163 2.0e-11 5.66e-16 6.0e-18 * 0 * 0 54849.90 310.00 5.0e+00 * 0 * 0 1.07 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb * -1693 J1819-1131 J1819-1131 18:19:58.1 1.0e-01 -11:31:29 9.0e+00 * 0 * 0 * 0 51874.00 19.101 1.619 1.388137 1.6e-10 7.61e-16 1.0e-17 * 0 * 0 51874.00 578.00 1.3e+01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.40 * pksmb * -1694 J1819+1305 J1819+1305 18:19:56.2 3.0e-03 +13:05:15.2 1.1e-01 * 0 * 0 * 0 51650.00 41.227 12.828 1.060364 7.0e-12 3.59e-16 2.0e-19 * 0 * 0 51650.00 64.81 1.3e-02 * 0 6.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pkssw,misc * -1695 J1819-1318 J1819-1318 18:19:43.6 5.0e-02 -13:18:42 5.0e+00 * 0 * 0 * 0 52856.00 17.497 0.829 1.515696 1.2e-10 5.97e-16 3.0e-17 * 0 * 0 52856.00 35.10 1.5e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * pksmb * - -1696 J1819-1408 J1819-1408 18:19:56.8 5.0e-01 -14:08:01.6 5.0e+01 * 0 * 0 * 0 51612.00 16.797 0.394 1.788490 1.6e-09 2.59e-15 1.6e-16 * 0 * 0 51612.00 1075.00 4.1e+01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.88 * pksmb,htru_pks * -1697 J1819-1458 J1819-1458 18:19:34.1 1.9e-02 -14:58:03.5 2.8e-01 * 0 * 0 * 0 54451.00 16.019 0.080 4.263164 4.0e-10 5.75e-13 1.9e-17 * 0 * 0 54451.00 196.00 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 XRS:CXOU_J181939.1-145804[mrg+07] pksmb RRAT,HE -1698 J1819-1510 J1819-1510 18:19:53.6 8.0e-03 -15:10:20.6 1.2e+00 * 0 * 0 * 0 51492.00 15.876 -0.086 0.226539 4.0e-12 7.85e-18 9.0e-19 * 0 * 0 51492.00 421.70 1.1e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * pksmb,htru_pks * -1699 J1819-17 J1819-17 18:19:30 3.0e+01 -17:05 7.0e+00 * 0 * 0 * 0 56657.00 14.146 -0.904 2.352135 1.5e-05 * 0 * 0 * 0 56657.00 67.00 2.3e+01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * htru_pks * -1700 J1819-1717 J1819-1717 18:19:43.4 5.0e-02 -17:17:16 5.0e+00 * 0 * 0 * 0 54756.20 13.991 -1.048 0.393522 6.0e-11 3.45e-15 6.0e-18 * 0 * 0 54756.20 405.00 2.0e+00 * 0 * 0 0.26 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * pksmb * - -1701 B1818-04 J1820-0427 18:20:52.6 2.1e-03 -04:27:38.1 1.1e-01 * 0 * 0 * 0 46634.00 25.456 4.733 0.598076 1.5e-11 6.33e-15 4.0e-20 3.570e-26 1.0e-27 * 0 46634.00 84.44 1.7e-02 * 0 157.00 6.0e+00 6.10 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,jb1,mol2,gb2,gb3,pks70,pkssw,p * -1702 J1820-0509 J1820-0509 18:20:22.7 7.0e-03 -05:09:38.5 4.0e-01 * 0 * 0 * 0 53035.00 24.777 4.516 0.337321 3.0e-12 9.32e-16 3.0e-19 * 0 * 0 53035.00 104.00 3.0e-01 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * pksmb,htru_pks * -1703 B1817-13 J1820-1346 18:20:19.7 1.2e-02 -13:46:15.3 1.1e+00 * 0 * 0 * 0 49609.00 17.161 0.483 0.921460 5.0e-12 4.50e-15 4.0e-20 1.420e-26 7.0e-28 * 0 49609.00 776.70 1.7e+00 * 0 * 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.89 * jb2,pks1,pksmb,htru_pks * -1704 J1820-1529 J1820-1529 18:20:40.8 9.0e-02 -15:29:50 1.0e+01 * 0 * 0 * 0 52050.98 15.678 -0.406 0.333243 1.8e-11 3.79e-14 1.0e-18 * 0 * 0 52050.98 768.50 6.0e-01 * 0 * 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * pksmb,htru_pks * -1705 B1817-18 J1820-1818 18:20:39.0 4.6e-03 -18:18:03.3 6.8e-01 * 0 * 0 * 0 50283.00 13.202 -1.720 0.309905 9.0e-13 9.36e-17 6.0e-21 5.600e-27 1.7e-27 * 0 50283.00 436.00 1.2e+00 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.04 * pks1,pksmb,htru_pks * - -1706 J1821+0155 J1821+0155 18:21:38.8 5.0e-05 +01:55:21.9 2.0e-03 * 0 * 0 * 0 55584.00 31.244 7.504 0.033781 1.3e-13 2.90e-20 1.9e-22 * 0 * 0 55584.00 51.75 3.0e-05 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * gb350,ar327 * -1707 J1821-0256 J1821-0256 18:21:10.3 2.0e-02 -02:56:38.6 1.0e+00 * 0 * 0 * 0 53097.00 26.839 5.372 0.414111 1.4e-11 3.72e-17 1.4e-18 * 0 * 0 53097.00 84.00 4.0e-01 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * pksmb * -1708 J1821-0331 J1821-0331 18:21:44.7 3.0e-02 -03:31:12.7 1.0e-01 * 0 * 0 * 0 55980.90 26.393 4.978 0.902316 4.0e-11 2.53e-15 2.0e-17 * 0 * 0 55980.90 171.50 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.56 * pksmb * -1709 J1821-1419 J1821-1419 18:21:34.3 4.0e-01 -14:19:26 3.2e+01 * 0 * 0 * 0 52303.00 16.815 -0.043 1.656010 9.0e-10 8.95e-13 3.0e-16 * 0 * 0 52303.00 1123.00 1.6e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.13 * pksmb * -1710 J1821-1432 J1821-1432 18:21:39.7 1.5e-02 -14:32:53.2 1.9e+00 * 0 * 0 * 0 54217.70 16.628 -0.168 1.915131 8.0e-11 5.37e-15 8.0e-18 * 0 * 0 54217.70 570.00 2.0e+01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.54 * pksmb,htru_pks * - -1711 J1821+1715 J1821+1715 18:21:13.5 4.0e-03 +17:15:47.0 7.0e-02 * 0 * 0 * 0 53064.00 45.259 14.302 1.366682 1.0e-11 8.71e-16 1.1e-18 * 0 * 0 53064.00 60.28 2.5e-03 * 0 3.70 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.14 * ar4 * -1712 J1821+41 J1821+41 18:22 3.0e+00 +41:45 1.8e+01 * 0 * 0 * 0 56292.00 69.509 22.873 1.261787 4.6e-05 * 0 * 0 * 0 56292.00 40.00 3.0e+00 * 0 2.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.29 * gbncc * -1713 J1822+0705 J1822+0705 18:22:18.4 2.7e-02 +07:05:19.0 1.1e+00 * 0 * 0 * 0 51341.00 35.983 9.685 1.362817 1.9e-11 1.75e-15 3.0e-19 2.200e-27 6.1e-27 * 0 51341.00 62.20 3.0e-01 * 0 3.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * ar4 * -1714 J1822-0848 J1822-0848 18:22:51.8 8.0e-02 -08:48:59.0 1.1e+00 * 0 * 0 * 0 53115.00 21.828 2.262 2.504518 5.0e-11 4.03e-16 1.1e-17 * 0 * 0 53115.00 186.30 7.0e-01 * 0 * 0 0.04 0 BT 52672.8480 9.0e-03 286.8303 1.4e-03 97.7279 2.0e-03 272.58 1.0e-02 5.896e-02 9.0e-06 * 0 * 0 * 0 3.83 * pksmb,htru_pks * -1715 J1822-0907 J1822-0907 18:22:39.8 5.0e-02 -09:07:36 3.0e+00 * 0 * 0 * 0 52267.00 21.530 2.161 0.974700 6.0e-11 3.55e-16 3.0e-18 * 0 * 0 52267.00 467.00 5.0e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.07 * pksmb,htru_pks * - -1716 J1822+1120 J1822+1120 18:22:14.6 1.0e-02 +11:20:56.2 2.0e-01 * 0 * 0 * 0 51602.00 39.870 11.571 1.787037 4.0e-11 2.35e-15 4.0e-18 * 0 * 0 51602.00 95.20 6.0e-01 * 0 0.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.77 * ar4 * -1717 J1822-1252 J1822-1252 18:22:41.7 3.0e-01 -12:52:49 2.9e+01 * 0 * 0 * 0 51809.00 18.218 0.394 2.071040 5.0e-10 8.48e-14 3.0e-17 * 0 * 0 51809.00 925.00 2.5e+01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.38 * pksmb,htru_pks * -1718 B1820-14 J1822-1400 18:22:54.0 7.5e-03 -14:00:02.4 5.4e-01 * 0 * 0 * 0 49266.36 17.252 -0.176 0.214771 6.0e-12 9.07e-16 5.0e-20 -1.100e-26 1.7e-26 * 0 49266.36 651.10 9.0e-01 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.76 * jb2,pksmb,htru_pks * -1719 J1822-1604 J1822-1604 18:22:18.0 1.2e-01 -16:04:26.8 1.8e+00 * 0 * 0 * 0 55761.00 15.353 -1.021 8.437721 7.0e-08 2.14e-14 3.0e-15 * 0 * 0 55761.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_J1822-1606 misc AXP,NRAD -1720 J1822-1617 J1822-1617 18:22:36.6 3.0e-01 -16:17:35 2.5e+01 * 0 * 0 * 0 51932.00 15.194 -1.189 0.831156 3.0e-10 1.89e-15 1.2e-17 * 0 * 0 51932.00 647.00 1.9e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.89 * pksmb * - -1721 B1819-22 J1822-2256 18:22:58.9 8.4e-02 -22:56:31 2.9e+01 * 0 * 0 * 0 48740.00 9.349 -4.373 1.874269 6.0e-12 1.35e-15 4.0e-20 5.800e-28 1.4e-28 * 0 48740.00 121.20 4.0e-02 * 0 25.00 2.0e+00 2.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.26 * jb1,mol2,pks70,pksmb,htru_pks * -1722 J1822-4209 J1822-4209 18:22:11.3 3.0e-03 -42:09:10.9 7.0e-02 * 0 * 0 * 0 49015.00 351.883 -12.829 0.456512 4.0e-12 4.59e-16 6.0e-20 * 0 * 0 49015.00 72.51 5.0e-03 * 0 7.00 0 1.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.69 * pks70,pkssw,htru_pks * -1723 J1823-0154 J1823-0154 18:23:52.1 9.0e-03 -01:54:04.6 3.6e-01 * 0 * 0 * 0 50850.00 28.081 5.256 0.759777 4.0e-12 1.13e-15 4.0e-20 -1.060e-26 2.0e-27 * 0 50850.00 135.87 5.0e-02 * 0 13.00 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * pks70,pksmb,htru_pks * -1724 B1821+05 J1823+0550 18:23:30.9 1.1e-03 +05:50:24.3 4.0e-02 5.000 1.1e+01 -2.000 4.0e+00 * 0 48713.00 34.987 8.859 0.752907 1.0e-12 2.27e-16 9.0e-21 -5.000e-29 1.8e-28 * 0 48713.00 66.78 3.0e-03 * 0 18.00 2.0e+00 1.70 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * mol2,gb3,ar4,pkssw,gb4 * -1725 B1820-11 J1823-1115 18:23:40.3 3.9e-02 -11:15:11 2.5e+00 * 0 * 0 * 0 49465.00 19.767 0.946 0.279829 5.0e-12 1.38e-15 4.0e-20 -1.870e-25 8.0e-27 * 0 49465.00 428.59 9.0e-02 * 0 11.00 2.0e+00 3.20 3.0e-01 BT 47260.5438 4.0e-04 357.7620 5.0e-05 200.6720 1.2e-03 99.17 1.1e-03 7.946e-01 7.0e-06 * 0 * 0 * 0 5.39 * jb2,pksmb,htru_pks * - -1726 J1823-1126 J1823-1126 18:23:19.8 1.0e-01 -11:26:04 5.0e+00 * 0 * 0 * 0 52331.00 19.568 0.935 1.846534 3.0e-10 3.65e-14 1.1e-16 * 0 * 0 52331.00 607.00 3.0e+00 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.14 * pksmb,htru_pks * -1727 J1823-1347 J1823-1347 18:23:24.2 8.0e-02 -13:47:54 9.0e+00 * 0 * 0 * 0 51481.00 17.488 -0.189 0.617107 1.2e-10 9.60e-15 3.0e-17 * 0 * 0 51481.00 1044.00 6.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.87 * pksmb,htru_pks * -1728 J1823-1526 J1823-1526 18:23:21.4 6.0e-02 -15:26:22 7.0e+00 * 0 * 0 * 0 52267.00 16.033 -0.948 1.625405 1.6e-10 4.52e-15 3.0e-17 * 0 * 0 52267.00 611.00 5.0e+00 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 * pksmb,htru_pks * -1729 J1823-1807 J1823-1807 18:23:09.6 7.0e-02 -18:07:33 8.0e+00 * 0 * 0 * 0 51295.00 13.636 -2.164 1.636792 1.7e-10 2.79e-16 4.0e-17 * 0 * 0 51295.00 330.00 4.0e+00 * 0 * 0 0.39 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.12 * pksmb,htru_pks * -1730 B1820-30A J1823-3021A 18:23:40.4 3.6e-04 -30:21:40.1 4.4e-02 0.310 2.4e-01 -8.200 1.7e+00 * 0 55049.00 2.788 -7.913 0.005440 3.1e-15 3.38e-18 2.0e-21 5.100e-25 3.0e-26 * 0 55049.00 86.88 5.6e-03 * 0 16.00 5.0e+00 0.72 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc,pks70,htru_pks HE[faa+11] - -1731 B1820-30B J1823-3021B 18:23:41.5 2.3e-03 -30:21:40.9 4.7e-01 * 0 * 0 * 0 55049.00 2.790 -7.917 0.378596 2.7e-12 2.99e-17 1.4e-18 7.200e-27 1.3e-27 * 0 55049.00 87.01 1.0e-01 * 0 2.20 2.0e-01 0.07 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc,htru_pks * -1732 J1823-3021C J1823-3021C 18:23:41.1 3.6e-03 -30:21:38.4 8.0e-01 * 0 * 0 * 0 55049.00 2.790 -7.915 0.405936 5.3e-12 2.24e-16 2.5e-18 * 0 * 0 55049.00 86.88 2.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * -1733 J1823-3021D J1823-3021D 18:23:40.5 7.1e-03 -30:21:43.6 3.5e-01 * 0 * 0 * 0 55050.00 2.787 -7.914 0.003020 5.9e-14 * 0 * 0 * 0 55050.00 86.80 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * -1734 J1823-3021E J1823-3021E 18:23:40.5 0 -30:21:40.2 0 * 0 * 0 * 0 54100.00 2.788 -7.913 0.004394 0 * 0 * 0 * 0 54100.00 91.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * -1735 J1823-3021F J1823-3021F 18:23:40.5 0 -30:21:40.2 0 * 0 * 0 * 0 54100.00 2.788 -7.913 0.004850 0 * 0 * 0 * 0 54100.00 86.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * - -1736 B1820-31 J1823-3106 18:23:46.7 1.2e-03 -31:06:49.7 1.1e-01 * 0 * 0 * 0 50093.00 2.120 -8.273 0.284054 5.0e-12 2.93e-15 4.0e-20 -2.010e-25 9.0e-27 * 0 50093.00 50.24 4.0e-03 * 0 36.00 4.0e+00 2.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * mol2,pks70,pkssw,htru_pks * -1737 J1824-0127 J1824-0127 18:24:53.4 4.0e-02 -01:27:51.4 1.8e+00 * 0 * 0 * 0 53040.00 28.588 5.231 2.499468 1.1e-10 3.91e-15 1.1e-17 * 0 * 0 53040.00 58.00 1.5e+00 * 0 * 0 0.59 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.87 * pksmb * -1738 J1824+10 J1824+10 18:24:05 6.1e+01 +10:17 1.5e+01 * 0 * 0 * 0 57022.00 39.093 10.700 0.004070 0 * 0 * 0 * 0 57022.00 60.00 0 * 0 * 0 * 0 BT * 0 82.5000 0 35.0000 0 * 0 * 0 * 0 * 0 * 0 2.93 GRS:3FGL_J1824.0+1017[cck+16] FermiAssoc * -1739 B1821-11 J1824-1118 18:24:29.5 7.3e-03 -11:18:42.6 5.0e-01 * 0 * 0 * 0 49480.00 19.809 0.741 0.435759 1.8e-11 3.55e-15 1.4e-19 4.000e-27 1.3e-26 * 0 49480.00 603.00 2.0e+00 * 0 * 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.01 * jb2,pksmb,htru_pks * -1740 J1824-1159 J1824-1159 18:24:56.1 1.2e-02 -11:59:53.4 1.3e+00 * 0 * 0 * 0 51495.00 19.253 0.324 0.362492 8.0e-12 5.38e-15 2.0e-18 * 0 * 0 51495.00 463.40 2.4e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 * pksmb,htru_pks * - -1741 J1824-1350 J1824-1350 18:24:50.1 1.7e-02 -13:50:21.0 1.6e+00 * 0 * 0 * 0 56612.00 17.614 -0.515 1.396599 4.0e-11 6.07e-16 7.0e-20 * 0 * 0 56612.00 551.00 7.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.70 * htru_pks * -1742 J1824-1423 J1824-1423 18:24:57.3 7.0e-03 -14:23:05.3 1.1e+00 * 0 * 0 * 0 51719.00 17.146 -0.796 0.359394 6.0e-12 3.92e-16 1.9e-18 * 0 * 0 51719.00 428.30 1.1e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pksmb,htru_pks * -1743 J1824-1500 J1824-1500 18:24:14.1 7.0e-02 -15:00:33 8.0e+00 * 0 * 0 * 0 52265.00 16.512 -0.934 0.412230 6.0e-11 7.58e-16 1.1e-17 * 0 * 0 52265.00 571.00 6.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.04 * pksmb,htru_pks * -1744 B1821-19 J1824-1945 18:24:00.4 1.3e-03 -19:45:51.7 2.5e-01 -12.000 1.4e+01 -100.000 2.2e+02 * 0 49877.00 12.279 -3.106 0.189335 1.5e-11 5.23e-15 1.1e-19 5.200e-26 6.2e-26 * 0 49877.00 224.38 6.0e-02 -0.011 2.0e-03 71.00 6.0e+00 4.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.70 * mol2,pks1,pks70,pksmb,htru_pks * -1745 J1824-2233 J1824-2233 18:24:10.3 5.0e-02 -22:33:11 1.6e+01 * 0 * 0 * 0 53165.00 9.822 -4.435 1.161743 3.0e-11 3.01e-16 3.0e-18 * 0 * 0 53165.00 156.50 1.2e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * pksmb,htru_pks * - -1746 J1824-2328 J1824-2328 18:24:28.6 1.9e-01 -23:28:17 6.1e+01 * 0 * 0 * 0 53111.00 9.037 -4.922 1.505875 3.0e-11 1.74e-15 3.0e-18 * 0 * 0 53111.00 185.00 3.0e+00 * 0 * 0 0.32 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.86 * pksmb,htru_pks * -1747 B1821-24A J1824-2452A 18:24:32.0 3.0e-05 -24:52:10.8 8.0e-03 -0.690 1.3e-01 * 0 * 0 54500.00 7.797 -5.578 0.003054 3.0e-16 1.62e-18 7.0e-24 * 0 * 0 54500.00 119.89 0 0.001 8.0e-05 40.00 0 2.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bsp+03] misc,pksmb HE[skk+97,bvs+11] -1748 J1824-2452B J1824-2452B 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.006547 0 * 0 * 0 * 0 54100.00 119.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626) misc * -1749 J1824-2452C J1824-2452C 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004159 0 * 0 * 0 * 0 54100.00 120.70 0 * 0 * 0 * 0 BT * 0 8.0780 0 7.3560 0 * 0 8.470e-01 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1750 J1824-2452D J1824-2452D 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.079832 0 * 0 * 0 * 0 54100.00 119.50 0 * 0 * 0 * 0 BT * 0 30.4040 0 24.8770 0 * 0 7.760e-01 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * - -1751 J1824-2452E J1824-2452E 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.005420 0 * 0 * 0 * 0 54100.00 119.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:(?)[bvs+11] misc * -1752 J1824-2452F J1824-2452F 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.002451 0 * 0 * 0 * 0 54100.00 123.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1753 J1824-2452G J1824-2452G 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.005909 0 * 0 * 0 * 0 54100.00 119.40 0 * 0 * 0 * 0 BT * 0 0.1046 0 0.0165 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:(?)[bvs+11] misc * -1754 J1824-2452H J1824-2452H 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004629 0 * 0 * 0 * 0 54100.00 121.50 0 * 0 * 0 * 0 BT * 0 0.4350 0 0.7195 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),OPT:COM-M28H[pdf+10],XRS misc * -1755 J1824-2452I J1824-2452I 18:24:32.5 4.0e-02 -24:52:08.6 6.0e-01 * 0 * 0 * 0 56386.00 7.798 -5.579 0.003932 2.0e-12 0.00e+00 1.3e-17 * 0 * 0 56386.00 119.00 0 * 0 * 0 * 0 BT * 0 0.4594 8.0e-08 0.7659 1.0e-05 * 0 0.000e+00 1.0e-04 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:IGR_J18245-2452[pfb+ misc HE - -1756 J1824-2452J J1824-2452J 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004039 0 * 0 * 0 * 0 54100.00 119.20 0 * 0 * 0 * 0 BT * 0 0.0974 0 0.0250 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1757 J1824-2452K J1824-2452K 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004461 0 * 0 * 0 * 0 54100.00 119.80 0 * 0 * 0 * 0 BT * 0 3.9103 0 2.6050 0 * 0 1.524e-03 4.0e-06 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1758 J1824-2452L J1824-2452L 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004100 0 * 0 * 0 * 0 54100.00 119.00 0 * 0 * 0 * 0 BT * 0 0.2257 0 0.0570 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626) misc * -1759 J1824-2537 J1824-2537 18:24:30.5 1.0e-02 -25:37:19 2.0e+00 * 0 * 0 * 0 53000.00 7.123 -5.918 0.223320 3.0e-12 4.40e-16 8.0e-20 * 0 * 0 53000.00 158.50 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.30 * pkssw,htru_pks * -1760 B1822+00 J1825+0004 18:25:15.3 2.4e-03 +00:04:19.7 1.1e-01 * 0 * 0 * 0 49719.00 30.001 5.856 0.778949 5.0e-12 8.76e-16 5.0e-20 -1.340e-26 1.5e-27 * 0 49719.00 56.62 9.0e-03 * 0 8.00 2.0e+00 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.86 * gb2,pks70,pkssw,htru_pks * - -1761 J1825-0319 J1825-0319 18:25:55.9 5.0e-04 -03:19:57.5 1.5e-02 * 0 * 0 * 0 55784.00 27.045 4.138 0.004554 4.0e-15 6.80e-21 3.0e-22 * 0 * 0 55784.00 119.50 4.0e-01 * 0 * 0 0.20 6.0e-02 BT 55805.0600 5.0e-02 52.6305 1.6e-06 18.2664 1.1e-05 93.20 4.0e-01 1.939e-04 1.2e-06 * 0 * 0 * 0 3.86 * htru_pks * -1762 B1822-09 J1825-0935 18:25:30.6 6.0e-03 -09:35:22.3 3.0e-01 -13.000 1.1e+01 -9.000 5.0e+00 * 0 53300.00 21.449 1.324 0.769006 1.2e-11 5.25e-14 1.2e-18 -2.800e-24 1.0e-25 * 0 54262.00 19.38 9.0e-04 * 0 36.00 3.0e+00 12.00 1.2e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 XRS:[pb15] jb1,mol2,gb2,pks70,pksmb,htru_pks * -1763 J1825-1108 J1825-1108 18:25:18.3 2.0e-01 -11:08:54 1.2e+01 * 0 * 0 * 0 56783.00 20.047 0.641 1.925872 8.0e-10 1.90e-15 6.0e-19 * 0 * 0 56783.00 121.00 1.9e+01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * htru_pks * -1764 B1822-14 J1825-1446 18:25:02.9 2.0e-05 -14:46:53.2 2.6e-04 11.070 1.0e-01 -27.610 1.0e-01 * 0 55854.70 16.805 -1.001 0.279187 5.0e-12 2.27e-14 4.0e-20 2.240e-25 9.0e-27 * 0 49480.00 352.23 4.0e-02 * 0 * 0 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.44 * jb2,pks1,pksmb,htru_pks * -1765 J1825-31 J1825-31 18:25:58 0 -31:02:20 0 * 0 * 0 * 0 55561.00 2.400 -8.658 2.382000 0 * 0 * 0 * 0 55561.00 120.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.83 * htru_pks * - -1766 J1825-33 J1825-33 18:26:02 5.0e+01 -33:21 1.5e+01 * 0 * 0 * 0 54831.00 0.309 -9.697 1.271200 2.0e-04 * 0 * 0 * 0 54831.00 43.20 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * pkssw RRAT -1767 B1823-11 J1826-1131 18:26:05.4 1.2e-02 -11:31:43.6 1.1e+00 * 0 * 0 * 0 49464.00 19.800 0.293 2.093136 1.4e-11 4.91e-15 1.4e-19 6.900e-27 4.0e-28 * 0 49464.00 320.58 6.0e-02 * 0 5.00 0 0.71 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * jb2,pksmb,htru_pks * -1768 J1826-1256 J1826-1256 18:26:08.5 1.0e-02 -12:56:33.0 5.0e-01 * 0 * 0 * 0 54934.00 18.556 -0.377 0.110224 4.0e-12 1.21e-13 1.3e-19 1.850e-22 5.0e-24 * 0 54934.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.55 GRS:2FGL_J1826.1-1256[naa+12],XRS:AXJ182 FermiBlind NRAD -1769 B1823-13 J1826-1334 18:26:13.1 3.0e-03 -13:34:46.8 1.0e-01 23.000 2.5e+00 -3.900 3.1e+00 * 0 52400.00 18.001 -0.691 0.101487 3.0e-13 7.53e-14 1.0e-20 2.809e-22 9.0e-26 * 0 54200.00 231.00 1.0e+00 * 0 * 0 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.61 GRS:J1825-137[aab+06],XRS:PWN:G18.0-0.7[ jb2,pks1,pksmb,htru_pks HE -1770 J1826-1419 J1826-1419 18:26:42.3 4.0e-03 -14:19:21.6 3.0e-01 * 0 * 0 * 0 54053.00 17.398 -1.142 0.770620 7.0e-12 8.78e-15 2.0e-19 * 0 * 0 54053.00 160.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.24 * pksmb RRAT - -1771 J1826-1526 J1826-1526 18:26:12.6 3.0e-02 -15:26:03 5.0e+00 * 0 * 0 * 0 51720.00 16.358 -1.553 0.382073 1.7e-11 1.08e-15 8.0e-18 * 0 * 0 51720.00 530.00 4.0e+00 * 0 * 0 0.46 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.86 * pksmb,htru_pks * -1772 J1827-0750 J1827-0750 18:27:02.7 6.0e-03 -07:50:19.2 6.0e-01 * 0 * 0 * 0 53223.00 23.176 1.803 0.270502 3.0e-12 1.54e-15 8.0e-19 * 0 * 0 53223.00 381.00 9.0e+00 * 0 * 0 2.70 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.98 * pksmb,htru_pks * -1773 J1827-0934 J1827-0934 18:27:45.8 1.6e-02 -09:34:16.4 1.3e+00 * 0 * 0 * 0 51491.00 21.724 0.841 0.512548 1.6e-11 7.23e-15 4.0e-18 * 0 * 0 51491.00 259.20 5.0e-01 * 0 * 0 0.29 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * pksmb,htru_pks * -1774 B1824-10 J1827-0958 18:27:05.4 1.2e-02 -09:58:43.1 7.2e-01 * 0 * 0 * 0 49480.00 21.286 0.798 0.245757 1.9e-12 1.00e-15 1.1e-20 -5.700e-26 4.0e-27 * 0 49480.00 430.00 4.0e+00 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * jb2,pksmb,htru_pks * -1775 J1827-1446 J1827-1446 18:27:24.6 5.0e-02 -14:46:28 4.0e+00 * 0 * 0 * 0 55716.00 17.077 -1.503 0.499187 3.0e-11 4.53e-14 8.0e-19 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1827.3-1446[aaa+15] FermiBlind NRAD - -1776 J1828-0611 J1828-0611 18:28:20.7 6.0e-03 -06:11:51.5 4.0e-01 * 0 * 0 * 0 52045.00 24.780 2.279 0.269415 3.0e-12 1.46e-15 3.0e-19 * 0 * 0 52045.00 363.20 5.0e-01 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.12 * pksmb,htru_pks * -1777 J1828+0625 J1828+0625 18:28:28.0 7.0e-02 +06:25:00.5 1.3e+00 * 0 * 0 * 0 55561.00 36.065 8.016 0.003630 0 * 0 * 0 * 0 55561.00 22.40 0 * 0 * 0 * 0 BT * 0 6.0000 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 GRS:2FGL_J1830.1+0617[naa+12] FermiAssoc * -1778 J1828-1007 J1828-1007 18:28:30.3 1.5e-02 -10:07:10.1 1.0e+00 * 0 * 0 * 0 51837.00 21.324 0.424 0.153197 1.5e-12 6.13e-16 1.2e-19 * 0 * 0 51837.00 302.60 1.2e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * pksmb,htru_pks * -1779 J1828-1057 J1828-1057 18:28:33.2 4.0e-02 -10:57:26 3.0e+00 * 0 * 0 * 0 52166.00 20.587 0.025 0.246328 1.2e-11 2.07e-14 1.9e-18 * 0 * 0 52166.00 249.00 2.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.65 * pksmb,htru_pks * -1780 J1828-1101 J1828-1101 18:28:18.8 9.0e-03 -11:01:50.9 8.0e-01 * 0 * 0 * 0 51531.00 20.495 0.042 0.072052 3.0e-12 1.48e-14 1.0e-19 -1.600e-23 3.0e-24 * 0 51531.00 605.00 1.0e-01 * 0 * 0 2.90 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * pksmb,htru_pks HE[lsg+15] - -1781 J1828-1336 J1828-1336 18:28:42.8 4.0e-02 -13:36:45 5.0e+00 * 0 * 0 * 0 51495.00 18.254 -1.243 0.860332 7.0e-11 9.95e-16 1.5e-17 * 0 * 0 51495.00 494.70 1.8e+00 * 0 * 0 0.26 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.87 * pksmb,htru_pks * -1782 J1828+1359 J1828+1359 18:28:53.3 2.0e-03 +13:59:35.3 1.3e-01 * 0 * 0 * 0 51500.00 43.017 11.250 0.741640 8.0e-12 7.29e-16 2.0e-19 * 0 * 0 51500.00 56.00 1.0e+00 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * misc * -1783 J1828-2119 J1828-2119 18:28:21.5 5.0e-02 -21:19:56 1.1e+01 * 0 * 0 * 0 53035.00 11.358 -4.734 0.514523 1.4e-11 1.27e-15 1.4e-18 * 0 * 0 53035.00 268.00 6.0e-01 * 0 * 0 0.38 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.93 * pksmb,htru_pks * -1784 J1829+0000 J1829+0000 18:29:47.1 3.0e-02 +00:00:08.5 1.1e+00 * 0 * 0 * 0 53112.00 30.460 4.817 0.199147 8.0e-12 5.25e-16 8.0e-19 * 0 * 0 53112.00 114.00 4.0e-01 * 0 * 0 0.54 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.27 * pksmb,palfa * -1785 J1829-0734 J1829-0734 18:29:05.3 4.0e-02 -07:34:22 3.0e+00 * 0 * 0 * 0 51947.00 23.647 1.478 0.318401 1.8e-11 4.79e-15 9.0e-18 * 0 * 0 51947.00 316.80 1.8e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * pksmb,htru_pks * - -1786 J1829-1011 J1829-1011 18:29:06.0 4.0e-02 -10:11:25 4.0e+00 * 0 * 0 * 0 56755.00 21.329 0.262 0.829166 1.6e-10 -5.00e-18 3.9e-18 * 0 * 0 56755.00 610.00 0 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.94 * htru_pks * -1787 B1826-17 J1829-1751 18:29:43.1 2.0e-03 -17:51:03.9 2.9e-01 22.000 1.3e+01 -150.000 1.3e+02 * 0 49878.00 14.604 -3.418 0.307133 5.0e-12 5.55e-15 5.0e-20 3.300e-26 9.0e-27 * 0 49878.00 217.11 9.0e-03 * 0 78.00 5.0e+00 7.70 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * jb1,mol2,gb3,pks1,pks70,pksmb,htru_ * -1788 J1829+2456 J1829+2456 18:29:34.6 2.0e-04 +24:56:18.1 3.0e-03 * 0 * 0 * 0 52887.00 53.343 15.612 0.041010 4.0e-14 5.25e-20 1.5e-21 * 0 * 0 52887.00 13.80 5.0e-01 * 0 0.30 1.0e-01 * 0 BT 52848.5798 3.0e-06 1.1760 1.6e-08 7.2380 2.0e-03 229.92 2.0e-02 1.391e-01 1.9e-06 * 0 * 0 * 0 0.91 * ar4 * -1789 J1830-0052 J1830-0052 18:30:30.7 5.0e-02 -00:52:54.0 1.5e+00 * 0 * 0 * 0 53276.00 29.755 4.251 0.345698 5.0e-11 2.37e-16 8.0e-18 * 0 * 0 53276.00 220.40 9.0e-01 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.25 * pksmb * -1790 J1830-0131 J1830-0131 18:30:19.6 1.2e-02 -01:31:48.1 6.0e-01 * 0 * 0 * 0 53095.00 29.156 3.994 0.457536 1.1e-11 6.32e-15 1.1e-18 * 0 * 0 53095.00 95.70 3.0e-01 * 0 * 0 0.35 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * pksmb,htru_pks * - -1791 J1830-10 J1830-10 18:30:06 3.0e+01 -10:39 7.0e+00 * 0 * 0 * 0 56657.00 21.036 -0.169 0.245260 3.0e-06 * 0 * 0 * 0 56657.00 203.00 2.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * htru_pks * -1792 B1828-11 J1830-1059 18:30:47.5 9.8e-03 -10:59:27.9 5.4e-01 * 0 * 0 * 0 49621.00 20.812 -0.478 0.405043 1.2e-11 6.00e-14 9.0e-20 8.720e-25 9.0e-27 * 0 49621.00 159.70 1.0e-02 * 0 2.10 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * jb2,pksmb,htru_pks * -1793 J1830-1135 J1830-1135 18:30:01.7 6.0e-02 -11:35:32 6.0e+00 * 0 * 0 * 0 51563.00 20.193 -0.590 6.221553 1.6e-09 4.77e-14 6.0e-17 7.000e-26 3.0e-25 * 0 51563.00 257.00 6.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.76 * pksmb,htru_pks * -1794 J1830-1313 J1830-1313 18:30:41.9 2.0e-02 -13:13:16.2 4.5e+00 * 0 * 0 * 0 54211.70 18.824 -1.490 0.747188 8.0e-11 1.71e-15 1.7e-17 * 0 * 0 54211.70 537.00 3.0e+00 * 0 * 0 0.26 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.63 * pksmb,htru_pks * -1795 J1830-1414 J1830-1414 18:30:00.3 4.0e-02 -14:14:37 4.0e+00 * 0 * 0 * 0 52265.00 17.839 -1.813 0.771493 6.0e-11 7.62e-17 1.1e-17 * 0 * 0 52265.00 393.60 1.4e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.08 * pksmb * - -1796 J1831-0823 J1831-0823 18:31:36.3 8.0e-03 -08:23:23.9 5.0e-01 * 0 * 0 * 0 51763.00 23.211 0.548 0.612133 1.5e-11 3.09e-16 1.2e-18 * 0 * 0 51763.00 245.90 1.7e+00 * 0 * 0 0.97 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.89 * pksmb,htru_pks * -1797 J1831-0952 J1831-0952 18:31:34.3 1.6e-02 -09:52:01.7 1.1e+00 * 0 * 0 * 0 52412.00 21.897 -0.128 0.067267 1.4e-12 8.32e-15 3.0e-20 1.240e-23 3.0e-25 * 0 52412.00 247.00 5.0e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * pksmb,htru_pks HE[lsg+15] -1798 J1831-1223 J1831-1223 18:31:12.8 1.0e-01 -12:23:31 1.1e+01 * 0 * 0 * 0 51704.00 19.618 -1.217 2.857941 6.0e-10 5.47e-15 3.0e-16 * 0 * 0 51704.00 342.00 5.0e+00 * 0 * 0 1.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * pksmb,htru_pks * -1799 J1831-1329 J1831-1329 18:31:55.9 6.0e-02 -13:29:56 8.0e+00 * 0 * 0 * 0 51494.00 18.716 -1.884 2.165679 3.0e-10 2.99e-15 6.0e-17 * 0 * 0 51494.00 338.00 5.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * pksmb,htru_pks * -1800 J1831-1423 J1831-1423 18:31:29.1 3.0e-02 -14:23:46 4.0e+00 * 0 * 0 * 0 52109.00 17.870 -2.201 0.507945 1.3e-11 1.09e-15 1.1e-18 * 0 * 0 52109.00 352.00 3.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.12 * pksmb * - -1801 J1832+0029 J1832+0029 18:32:50.7 3.0e-01 +00:29:27 1.8e+01 * 0 * 0 * 0 53344.00 31.247 4.360 0.533917 6.0e-09 1.51e-15 2.0e-16 * 0 * 0 53344.00 28.30 1.2e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.04 * pksmb * -1802 J1832-0644 J1832-0644 18:32:42.6 5.0e-02 -06:44:01.8 2.8e+00 * 0 * 0 * 0 51489.00 24.806 1.070 0.744295 5.0e-11 3.71e-14 1.7e-17 * 0 * 0 51489.00 578.00 7.0e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.37 * pksmb,htru_pks * -1803 B1829-08 J1832-0827 18:32:37.0 1.2e-03 -08:27:03.6 6.1e-02 -4.000 4.0e+00 20.000 1.5e+01 * 0 49442.00 23.272 0.298 0.647293 3.0e-11 6.39e-14 3.0e-19 1.900e-26 1.1e-26 * 0 49442.00 300.87 1.0e-02 * 0 9.40 8.0e-01 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * jb2,pksmb,htru_pks * -1804 J1832-0836 J1832-0836 18:32:27.5 2.7e-06 -08:36:55.0 1.8e-04 * 0 * 0 0.350 1.5e-01 56862.00 23.109 0.257 0.002719 8.0e-18 8.27e-21 8.0e-25 * 0 * 0 56862.00 28.19 9.0e-05 * 0 * 0 1.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 XRS:[pb15] htru_pks * -1805 B1829-10 J1832-1021 18:32:40.8 2.0e-03 -10:21:32.7 1.4e-01 * 0 * 0 * 0 49459.00 21.587 -0.597 0.330354 5.0e-12 4.20e-15 5.0e-20 2.000e-25 7.0e-27 * 0 49459.00 475.70 3.0e-01 * 0 3.40 5.0e-01 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 * jb2,pks70,pksmb,htru_pks * - -1806 J1832-28 J1832-28 18:32:30 2.0e+01 -28:43 5.0e+00 * 0 * 0 * 0 51064.30 5.142 -8.897 0.199300 3.0e-06 * 0 * 0 * 0 51064.30 127.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.17 * pkssw * -1807 J1833-0209 J1833-0209 18:33:05.4 8.0e-03 -02:09:16.4 3.0e-01 * 0 * 0 * 0 56614.00 28.918 3.094 0.291931 4.0e-12 2.75e-15 7.0e-19 * 0 * 0 56614.00 325.40 0 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.33 * htru_pks * -1808 B1831-03 J1833-0338 18:33:41.9 3.7e-03 -03:39:04.3 1.8e-01 * 0 * 0 * 0 49698.00 27.657 2.272 0.686704 4.0e-11 4.16e-14 3.0e-19 1.430e-25 1.1e-26 * 0 49698.00 234.54 1.3e-02 * 0 89.00 5.0e+00 2.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.17 * jb1,mol2,gb3,pks70,pksmb,htru_pks * -1809 J1833-0556 J1833-0556 18:33:38.8 1.6e-01 -05:56:05 9.0e+00 * 0 * 0 * 0 52166.00 25.623 1.232 1.521545 4.0e-10 1.28e-15 5.0e-17 * 0 * 0 52166.00 461.00 1.3e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.38 * pksmb * -1810 J1833-0559 J1833-0559 18:33:07.6 5.0e-02 -05:59:25 5.0e+00 * 0 * 0 * 0 51719.00 25.514 1.321 0.483459 5.0e-11 1.23e-14 3.0e-17 * 0 * 0 51719.00 353.00 6.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.12 * pksmb,htru_pks * - -1811 B1830-08 J1833-0827 18:33:40.3 9.6e-04 -08:27:31.2 5.0e-02 * 0 * 0 * 0 50483.00 23.386 0.063 0.085284 5.0e-13 9.17e-15 3.0e-21 -1.301e-24 1.3e-26 * 0 50483.00 410.95 1.0e-01 -0.130 2.0e-02 * 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 XRS:PWN[eit+11] jb2,pksmb,htru_pks * -1812 J1833-0831 J1833-0831 18:33:44.3 3.0e-02 -08:31:07.7 4.0e-01 * 0 * 0 * 0 55274.00 23.340 0.020 7.565408 5.0e-07 3.43e-12 3.0e-13 -1.300e-20 2.0e-21 9.000e-28 2.0e-28 55274.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_1833-0832 misc AXP,NRAD -1813 J1833-1034 J1833-1034 18:33:33.5 2.0e-02 -10:34:07.5 3.0e-01 * 0 * 0 * 0 54575.00 21.501 -0.885 0.061884 1.2e-13 2.02e-13 4.0e-21 3.197e-22 1.0e-25 * 0 54575.00 169.50 1.0e-01 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 SNR:G21.5-0.9[gmga05],GRS:2FGL_J1833.6-1 misc HE -1814 J1833-1055 J1833-1055 18:33:58.4 3.0e-02 -10:55:31 3.0e+00 * 0 * 0 * 0 51360.00 21.231 -1.140 0.633640 3.0e-11 5.27e-16 4.0e-18 * 0 * 0 51360.00 543.00 4.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.70 * pksmb,htru_pks * -1815 B1828-60 J1833-6023 18:33:14.8 4.0e-01 -60:23:04 4.0e+00 * 0 * 0 * 0 43558.87 334.827 -21.195 1.889436 1.7e-09 2.70e-16 8.0e-17 * 0 * 0 43558.87 35.00 6.0e+00 * 0 5.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.34 * mol2,pks70,pkssw * - -1816 B1831-00 J1834-0010 18:34:17.2 4.0e-02 -00:10:53.3 1.8e+00 * 0 * 0 * 0 49123.00 30.812 3.732 0.520954 1.1e-11 1.05e-17 1.4e-19 -3.200e-28 1.0e-26 * 0 49123.00 88.65 1.5e-01 * 0 5.10 0 0.29 4.0e-02 ELL1 * 0 1.8111 9.0e-07 0.7227 1.0e-03 63.43 0.0e+00 4.472e-03 0.0e+00 46458.0289 1.7e-03 4.000e-03 4.0e-06 2.000e-03 6.0e-06 3.35 * gb2,pksmb * -1817 J1834-0031 J1834-0031 18:34:51.0 1.4e-02 -00:31:34.3 6.0e-01 * 0 * 0 * 0 53030.00 30.570 3.449 0.329532 6.0e-12 4.49e-16 6.0e-19 * 0 * 0 53030.00 155.10 6.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.68 * pksmb * -1818 B1831-04 J1834-0426 18:34:25.6 2.4e-03 -04:26:15.8 1.4e-01 * 0 * 0 * 0 49714.00 27.042 1.749 0.290108 7.0e-13 7.19e-17 6.0e-21 1.630e-26 1.3e-27 * 0 49714.00 79.31 8.0e-03 * 0 77.00 8.0e+00 5.00 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * jb1,mol2,gb2,gb3,pks70,pksmb,htru_p * -1819 J1834-0602 J1834-0602 18:34:37.9 3.0e-02 -06:02:35 3.0e+00 * 0 * 0 * 0 51704.00 25.640 0.965 0.487914 3.0e-11 1.83e-15 1.0e-17 * 0 * 0 51704.00 445.00 4.0e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * pksmb,htru_pks * -1820 J1834-0633 J1834-0633 18:34:29.2 1.5e-01 -06:33:01.1 6.3e+00 * 0 * 0 * 0 52333.00 25.173 0.763 0.317315 7.0e-11 6.04e-16 4.0e-17 * 0 * 0 52333.00 707.00 9.0e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.29 * pksmb,htru_pks * - -1821 J1834-0731 J1834-0731 18:34:16.0 7.0e-02 -07:31:07 4.0e+00 * 0 * 0 * 0 52323.00 24.288 0.366 0.512980 4.0e-11 5.82e-14 3.0e-17 * 0 * 0 52323.00 294.00 9.0e-01 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 * pksmb,htru_pks * -1822 J1834-0742 J1834-0742 18:34:31.3 3.0e-02 -07:42:20.6 1.4e+00 * 0 * 0 * 0 52145.00 24.151 0.223 0.788354 1.9e-11 3.25e-14 9.0e-19 * 0 * 0 52145.00 552.00 1.8e+01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb,htru_pks * -1823 J1834-0812 J1834-0812 18:34:29.8 9.0e-01 -08:12:00 1.0e+02 * 0 * 0 * 0 55253.34 23.709 0.001 0.491142 2.0e-10 9.96e-15 7.0e-17 * 0 * 0 55253.34 1020.00 5.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.95 * misc * -1824 J1834-0845 J1834-0845 18:34:52.1 4.0e-02 -08:45:56.0 6.0e-01 * 0 * 0 * 0 55783.00 23.250 -0.341 2.482302 1.0e-07 7.96e-12 1.2e-13 * 0 * 0 55783.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:CXOU_J183452.1-084556,SNR:W41(?),HES misc AXP,NRAD -1825 J1834-09 J1834-09 18:34:36 3.0e+01 -09:15 7.0e+00 * 0 * 0 * 0 56657.00 22.789 -0.505 0.512327 1.0e-06 * 0 * 0 * 0 56657.00 529.00 7.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.86 * htru_pks * - -1826 J1834+10 J1834+10 18:34:27 1.6e+01 +10:44 5.0e+00 * 0 * 0 * 0 49717.00 40.638 8.608 1.172719 3.0e-06 * 0 * 0 * 0 49717.00 78.48 2.4e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * ar4 * -1827 J1834-1202 J1834-1202 18:34:23.1 3.0e-02 -12:02:26.4 1.3e+00 * 0 * 0 * 0 52366.00 20.287 -1.743 0.610259 1.2e-11 6.74e-18 3.0e-19 * 0 * 0 52366.00 342.40 1.3e+00 * 0 * 0 0.70 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.11 * pksmb,htru_pks * -1828 J1834-1710 J1834-1710 18:34:53.4 6.0e-03 -17:10:50 2.0e+00 * 0 * 0 * 0 51892.00 15.768 -4.206 0.358306 6.0e-12 4.69e-17 1.2e-18 * 0 * 0 51892.00 123.80 5.0e-01 * 0 * 0 1.00 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pksmb,htru_pks * -1829 J1834-1855 J1834-1855 18:34:45.9 5.0e-02 -18:55:59 6.0e+00 * 0 * 0 * 0 53108.00 14.189 -4.977 1.465656 7.0e-11 1.93e-15 9.0e-18 * 0 * 0 53108.00 185.20 1.2e+00 * 0 * 0 0.39 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.12 * pksmb,htru_pks * -1830 J1835-0114 J1835-0114 18:35:21.9 9.0e-04 -01:14:33.6 2.0e-02 * 0 * 0 * 0 54786.80 29.990 3.007 0.005116 1.2e-14 7.00e-21 4.0e-21 * 0 * 0 54786.80 98.00 1.0e+00 * 0 * 0 0.10 1.0e-02 BT 54540.7000 3.0e-01 6.6925 4.0e-07 4.6544 7.0e-06 -3.00 1.0e+00 1.100e-05 3.0e-06 * 0 * 0 * 0 3.45 * pksmb * - -1831 J1835-0349 J1835-0349 18:35:12.9 1.2e-02 -03:49:09.9 9.0e-01 * 0 * 0 * 0 53125.00 27.681 1.858 0.841865 4.0e-11 3.06e-15 4.0e-18 * 0 * 0 53125.00 269.60 7.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.51 * pksmb * -1832 J1835-0522 J1835-0522 18:35:08.1 5.0e-02 -05:22:08 3.0e+00 * 0 * 0 * 0 52331.00 26.296 1.164 1.087749 8.0e-11 4.73e-16 4.0e-17 * 0 * 0 52331.00 456.00 4.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.77 * pksmb * -1833 B1832-06 J1835-0643 18:35:05.5 1.2e-02 -06:43:06.4 5.7e-01 * 0 * 0 * 0 49533.00 25.093 0.552 0.305830 1.7e-11 4.05e-14 1.5e-19 8.700e-25 3.0e-26 * 0 49533.00 467.90 4.0e-01 * 0 * 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * jb2,pksmb,htru_pks * -1834 J1835-0924 J1835-0924 18:35:38.0 1.2e-01 -09:24:27 1.3e+01 * 0 * 0 * 0 51720.00 22.767 -0.804 0.859192 3.0e-10 2.14e-14 9.0e-17 * 0 * 0 51720.00 471.00 7.0e+00 * 0 * 0 0.55 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.03 * pksmb,htru_pks * -1835 J1835-09242 J1835-09242 18:35:21.8 1.6e-02 -09:24:15.9 1.0e+00 * 0 * 0 * 0 56394.00 22.739 -0.744 0.235249 4.0e-12 1.18e-17 3.0e-20 * 0 * 0 56394.00 500.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * htru_pks * - -1836 J1835-0928 J1835-0928 18:35:22.2 3.0e-02 -09:28:02 2.0e+00 * 0 * 0 * 0 56395.00 22.684 -0.774 0.621734 3.0e-11 9.69e-16 2.0e-20 * 0 * 0 56395.00 450.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * htru_pks * -1837 J1835-0944 J1835-0944 18:35:46.6 9.0e-02 -09:44:29 3.0e+00 * 0 * 0 * 0 53663.90 22.486 -0.989 0.145347 1.5e-11 4.39e-15 1.3e-17 * 0 * 0 53663.90 276.20 1.0e-01 * 0 * 0 0.41 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.22 * pksmb,htru_pks * -1838 J1835-0946 J1835-0946 18:35:44.8 9.0e-02 -09:46:38 3.0e+00 * 0 * 0 * 0 53663.00 22.451 -0.999 0.379536 5.0e-11 4.32e-17 3.1e-17 * 0 * 0 53663.00 193.30 5.0e-01 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.63 * pksmb,htru_pks * -1839 J1835-1020 J1835-1020 18:35:57.5 1.0e-03 -10:20:04.5 6.0e-02 25.000 5.0e+00 4.000 2.1e+01 * 0 54369.00 21.980 -1.302 0.302450 1.5e-11 5.92e-15 1.9e-19 * 0 * 0 54369.00 113.70 9.0e-01 * 0 * 0 1.96 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * pksmb,htru_pks * -1840 J1835-1106 J1835-1106 18:35:18.2 2.0e-03 -11:06:15.1 2.0e-01 27.000 4.6e+01 56.000 1.9e+02 * 0 49445.70 21.222 -1.512 0.165907 2.0e-13 2.06e-14 8.0e-21 * 0 * 0 49445.70 132.68 3.0e-03 * 0 30.00 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * pks70,pksmb,htru_pks * - -1841 J1835-1548 J1835-1548 18:35:50.3 1.0e-01 -15:48:38 1.0e+01 * 0 * 0 * 0 53140.00 17.094 -3.784 0.670486 9.0e-11 1.74e-15 1.4e-17 * 0 * 0 53140.00 327.00 6.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.53 * pksmb * -1842 J1835-3259A J1835-3259A 18:35:44 0 -32:59:25 0 * 0 * 0 * 0 55196.00 1.532 -11.371 0.003889 0 * 0 * 0 * 0 55196.00 63.35 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.70 GC:NGC6652 misc * -1843 B1834-04 J1836-0436 18:36:51.7 1.7e-03 -04:36:37.6 1.1e-01 * 0 * 0 * 0 49532.00 27.167 1.130 0.354237 6.0e-12 1.66e-15 4.0e-20 -8.700e-26 6.0e-27 * 0 49532.00 231.50 3.0e-01 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * jb2,pksmb,htru_pks * -1844 J1836-0517 J1836-0517 18:36:25.2 1.1e-01 -05:17:35 4.0e+00 * 0 * 0 * 0 52156.00 26.510 0.915 0.457245 3.0e-11 1.30e-15 1.1e-18 * 0 * 0 52156.00 564.00 5.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.25 * pksmb * -1845 B1834-10 J1836-1008 18:36:53.9 4.0e-03 -10:08:08.3 2.5e-01 18.000 6.5e+01 12.000 2.2e+02 * 0 48880.00 22.263 -1.415 0.562711 3.0e-11 1.18e-14 1.6e-19 -1.950e-25 7.0e-27 * 0 48880.00 316.98 3.0e-02 * 0 54.00 6.0e+00 3.70 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * mol2,pks70,pksmb,htru_pks * - -1846 J1836-11 J1836-11 18:36:06 3.0e+01 -11:17 7.0e+00 * 0 * 0 * 0 56657.00 21.153 -1.768 0.496193 1.1e-06 * 0 * 0 * 0 56657.00 326.00 8.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.07 * htru_pks * -1847 J1836-1324 J1836-1324 18:36:52.2 9.0e-03 -13:24:33.6 5.0e-01 * 0 * 0 * 0 53277.00 19.348 -2.910 0.178756 1.6e-12 1.04e-15 1.0e-18 * 0 * 0 53277.00 157.33 1.0e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.64 * pksmb,htru_pks * -1848 J1836-2354A J1836-2354A 18:36:25.4 1.0e-04 -23:54:52.3 3.0e-02 * 0 * 0 * 0 55000.00 9.886 -7.561 0.003354 1.0e-16 2.32e-21 3.0e-24 * 0 * 0 55000.00 89.11 2.0e-03 * 0 * 0 0.20 0 BT 54694.1963 6.0e-07 0.2028 3.0e-10 0.0464 6.0e-07 * 0 0.000e+00 1.6e-03 * 0 * 0 * 0 3.20 GC:M22(NGC6656) misc * -1849 J1836-2354B J1836-2354B 18:36:24.3 3.0e-03 -23:54:28.7 7.0e-01 * 0 * 0 * 0 55000.00 9.890 -7.554 0.003232 4.0e-15 -4.80e-22 6.0e-23 * 0 * 0 55000.00 93.30 2.0e-01 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.20 GC:M22(NGC6656) misc * -1850 J1836+5925 J1836+5925 18:36:13.6 2.7e-02 +59:25:30.1 2.0e-01 * 0 * 0 * 0 56338.00 88.875 24.999 0.173264 1.0e-11 1.50e-15 1.0e-18 -1.000e-23 1.0e-23 * 0 56338.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 GRS:2FGL_J1836.2+5926[naa+12],XRS:RX_J18 FermiBlind XINS,NRAD - -1851 J1837-0045 J1837-0045 18:37:32.1 1.6e-02 -00:45:10.6 7.2e-01 * 0 * 0 * 0 51019.00 30.675 2.749 0.617037 6.0e-12 1.68e-15 7.0e-20 -3.800e-27 6.6e-27 * 0 51019.00 86.98 9.0e-02 * 0 10.00 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pks70,pksmb * -1852 J1837+0053 J1837+0053 18:37:28.4 7.0e-02 +00:53:13 3.0e+00 * 0 * 0 * 0 53094.00 32.129 3.511 0.473513 4.0e-11 3.77e-17 4.0e-18 * 0 * 0 53094.00 124.00 3.0e+00 * 0 * 0 0.34 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.25 * pksmb * -1853 J1837-0559 J1837-0559 18:37:23.6 1.4e-02 -05:59:28.3 9.0e-01 * 0 * 0 * 0 51463.00 26.001 0.379 0.201063 5.0e-12 3.30e-15 1.3e-18 * 0 * 0 51463.00 319.50 6.0e-01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb,htru_pks * -1854 J1837-0604 J1837-0604 18:37:43.5 1.0e-02 -06:04:49 1.0e+00 * 0 * 0 * 0 51749.00 25.960 0.265 0.096294 3.0e-11 4.52e-14 8.0e-19 * 0 * 0 51749.00 459.30 3.0e-01 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * pksmb,htru_pks HE[lsg+15] -1855 B1834-06 J1837-0653 18:37:14.6 1.9e-02 -06:53:02.1 1.1e+00 * 0 * 0 * 0 49480.00 25.191 0.002 1.905809 3.0e-11 7.72e-16 1.9e-19 4.600e-28 7.9e-28 * 0 49480.00 316.10 4.0e-01 * 0 * 0 2.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.14 * jb2,pksmb,htru_pks * - -1856 J1837-08 J1837-08 18:37:43 0 -08:20:04 0 * 0 * 0 * 0 55561.00 23.956 -0.768 1.099000 0 * 0 * 0 * 0 55561.00 510.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.26 * htru_pks * -1857 J1837+1221 J1837+1221 18:37:07.1 4.0e-02 +12:21:54.0 6.0e-01 * 0 * 0 * 0 51650.00 42.411 8.738 1.963532 1.2e-10 6.20e-15 1.6e-17 * 0 * 0 51650.00 100.60 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.60 * pkssw,misc * -1858 J1837-1243 J1837-1243 18:37:09.4 3.0e-02 -12:43:56 3.0e+00 * 0 * 0 * 0 51494.00 19.983 -2.662 1.876019 1.1e-10 3.65e-14 3.0e-17 * 0 * 0 51494.00 300.00 9.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.26 * pksmb,htru_pks * -1859 J1837-1837 J1837-1837 18:37:54.2 1.0e-02 -18:37:08 2.0e+00 * 0 * 0 * 0 51500.00 14.807 -5.498 0.618358 1.6e-11 5.50e-15 1.2e-18 * 0 * 0 51500.00 100.74 1.3e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.23 * pkssw,pksmb,htru_pks * -1860 J1838-01 J1838-01 18:38:30 3.0e+01 -01:01 7.0e+00 * 0 * 0 * 0 51869.10 30.550 2.414 0.183295 2.0e-07 * 0 * 0 * 0 51869.10 320.40 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.76 * pksmb * - -1861 J1838-0107 J1838-0107 18:38:39.4 2.0e-03 -01:07:48.6 1.0e-01 * 0 * 0 * 0 56489.00 30.467 2.327 0.444426 1.7e-12 5.46e-18 1.5e-19 * 0 * 0 56489.00 268.90 0 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * htru_pks * -1862 J1838-0453 J1838-0453 18:38:11.1 6.0e-02 -04:53:23 3.0e+00 * 0 * 0 * 0 51493.00 27.070 0.709 0.380831 3.0e-11 1.16e-13 8.0e-18 * 0 * 0 51493.00 617.20 4.0e-01 * 0 * 0 0.33 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * pksmb,htru_pks * -1863 J1838-0537 J1838-0537 18:38:56.0 3.0e-02 -05:37:09 2.0e+00 * 0 * 0 * 0 55100.00 26.508 0.209 0.145708 3.0e-10 4.72e-13 3.0e-17 1.700e-21 9.0e-23 * 0 55100.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -1864 J1838-0549 J1838-0549 18:38:38.0 3.0e-02 -05:49:12 3.0e+00 * 0 * 0 * 0 52642.00 26.295 0.183 0.235303 1.0e-11 3.34e-14 6.0e-18 * 0 * 0 52642.00 276.60 4.0e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.06 * pksmb * -1865 J1838-0624 J1838-0624 18:38:51.7 1.1e-01 -06:24:54 4.0e+00 * 0 * 0 * 0 51875.00 25.792 -0.140 0.927178 5.0e-11 7.74e-17 4.0e-18 * 0 * 0 51875.00 424.00 9.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.54 * pksmb * - -1866 J1838-0655 J1838-0655 18:38:03.1 2.0e-02 -06:55:33.4 3.0e-01 * 0 * 0 * 0 54522.00 25.246 -0.196 0.070498 5.4e-11 4.92e-14 2.9e-16 * 0 * 0 54522.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.60 XRS:AX_J1838.0-0655,GRS:HESS_J1837-069 misc NRAD -1867 J1838-1046 J1838-1046 18:38:26.4 4.0e-02 -10:46:57 4.0e+00 * 0 * 0 * 0 51493.00 21.862 -2.049 1.218354 8.0e-11 3.08e-15 1.8e-17 * 0 * 0 51493.00 208.00 3.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.11 * pksmb,htru_pks * -1868 J1838+1650 J1838+1650 18:38:43.0 4.0e-03 +16:50:16.0 6.0e-02 * 0 * 0 * 0 51602.00 46.667 10.331 1.901967 1.0e-11 2.68e-15 1.0e-18 * 0 * 0 51602.00 32.95 9.9e-04 * 0 2.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.54 * ar4 * -1869 J1838-1849 J1838-1849 18:38:33.7 4.0e-02 -18:49:59 5.0e+00 * 0 * 0 * 0 55991.90 14.686 -5.734 0.488242 3.0e-11 4.00e-17 1.0e-17 * 0 * 0 55991.90 169.90 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.39 * pksmb * -1870 J1839-0141 J1839-0141 18:39:06.9 8.5e-03 -01:41:56.0 2.0e-01 * 0 * 0 * 0 55467.00 30.014 1.965 0.933266 2.0e-11 5.94e-15 1.0e-18 * 0 * 0 55467.00 293.20 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.07 * pksmb RRAT - -1871 J1839-0223 J1839-0223 18:39:58.0 3.0e-03 -02:23:09.5 1.6e+00 * 0 * 0 * 0 56488.00 29.500 1.461 1.266790 5.0e-11 4.76e-15 6.0e-21 * 0 * 0 56488.00 330.00 0 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * htru_pks * -1872 J1839-0321 J1839-0321 18:39:37.5 2.0e-02 -03:21:10.5 1.2e+00 * 0 * 0 * 0 51489.00 28.601 1.095 0.238778 9.0e-12 1.25e-14 3.0e-18 * 0 * 0 51489.00 452.60 3.0e-01 * 0 * 0 0.27 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.86 * pksmb * -1873 J1839-0332 J1839-0332 18:39:56.5 1.2e-02 -03:32:58.6 6.0e-01 * 0 * 0 * 0 56491.00 28.462 0.934 2.675682 6.0e-11 4.76e-15 6.0e-21 * 0 * 0 56491.00 195.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * htru_pks * -1874 J1839-0402 J1839-0402 18:39:51.0 3.0e-02 -04:02:24.9 1.2e+00 * 0 * 0 * 0 51487.00 28.016 0.730 0.520940 1.7e-11 7.69e-15 5.0e-18 * 0 * 0 51487.00 242.00 3.0e+00 * 0 * 0 0.21 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.27 * pksmb,htru_pks * -1875 J1839-0436 J1839-0436 18:39:00.0 9.0e-03 -04:36:57.5 7.0e-01 * 0 * 0 * 0 53190.00 27.407 0.654 0.149461 3.0e-12 8.10e-16 3.0e-19 * 0 * 0 53190.00 292.70 1.8e+00 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.48 * pksmb,htru_pks * - -1876 J1839-0459 J1839-0459 18:39:42.6 2.0e-02 -04:59:58.8 1.6e+00 * 0 * 0 * 0 51426.00 27.147 0.321 0.585319 3.0e-11 3.31e-15 5.0e-18 * 0 * 0 51426.00 243.00 3.0e+00 * 0 * 0 0.30 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * pksmb,htru_pks * -1877 J1839-0627 J1839-0627 18:39:20.4 3.0e-02 -06:27:34 5.0e+00 * 0 * 0 * 0 51361.00 25.807 -0.266 0.484914 4.0e-11 1.32e-16 1.7e-17 * 0 * 0 51361.00 88.50 7.0e-01 * 0 * 0 0.29 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * pksmb,htru_pks * -1878 J1839-0643 J1839-0643 18:39:09.8 1.4e-02 -06:43:45.2 1.5e+00 * 0 * 0 * 0 51368.00 25.547 -0.350 0.449548 1.5e-11 3.64e-15 7.0e-18 * 0 * 0 51368.00 497.90 1.6e+00 * 0 * 0 1.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.82 * pksmb,htru_pks * -1879 J1839-0905 J1839-0905 18:39:53.4 2.0e-02 -09:05:14.8 1.4e+00 * 0 * 0 * 0 52287.00 23.533 -1.591 0.418969 1.6e-11 2.60e-14 3.0e-18 * 0 * 0 52287.00 344.50 3.0e-01 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.80 * pksmb,htru_pks * -1880 J1839-1238 J1839-1238 18:39:43.7 1.9e-02 -12:38:40.7 1.8e+00 * 0 * 0 * 0 53035.00 20.347 -3.180 1.911428 5.0e-11 4.95e-15 4.0e-18 * 0 * 0 53035.00 169.80 1.8e+00 * 0 * 0 0.37 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * pksmb,htru_pks * - -1881 J1839+15 J1839+15 18:39:00 0 +15:00:00 0 * 0 * 0 * 0 55774.00 45.014 9.477 0.549161 8.0e-11 2.61e-14 6.0e-17 * 0 * 0 55774.00 68.10 8.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * misc * -1882 J1840+0214 J1840+0214 18:40:34.0 1.9e-02 +02:14:54.7 6.0e-01 * 0 * 0 * 0 53129.00 33.696 3.443 0.797478 4.0e-11 8.29e-15 7.0e-18 * 0 * 0 53129.00 182.40 1.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.84 * pksmb * -1883 J1840-04 J1840-04 18:40:49 0 -04:38:27 0 * 0 * 0 * 0 55561.00 27.592 0.241 0.422300 0 * 0 * 0 * 0 55561.00 380.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.59 * htru_pks * -1884 J1840-0559 J1840-0559 18:40:23.1 4.0e-02 -05:59:16.2 1.8e+00 * 0 * 0 * 0 52418.00 26.345 -0.281 0.859368 5.0e-11 9.60e-15 9.0e-18 * 0 * 0 52418.00 321.70 1.4e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * -1885 J1840-0626 J1840-0626 18:40:16.3 5.0e-02 -06:26:15.4 5.2e+00 * 0 * 0 * 0 54211.20 25.933 -0.461 1.893353 4.0e-10 2.30e-14 7.0e-17 * 0 * 0 54211.20 748.00 8.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.72 * pksmb * - -1886 J1840-0643 J1840-0643 18:40:09.4 5.0e-02 -06:43:47 1.0e+00 * 0 * 0 * 0 55930.00 25.660 -0.570 0.035578 3.0e-10 2.20e-16 7.0e-19 * 0 * 0 55930.00 500.00 0 * 0 * 0 1.20 0 BT 56044.4000 1.0e-01 937.1000 7.0e-01 113.2000 2.0e-01 * 0 * 0 * 0 * 0 * 0 5.01 * pksmb * -1887 J1840-0753 J1840-0753 18:40:47.6 1.0e-01 -07:53:32 6.0e+00 * 0 * 0 * 0 54803.90 24.698 -1.242 0.437869 2.0e-10 1.00e-16 6.0e-17 * 0 * 0 54803.90 691.00 7.0e+00 * 0 * 0 0.37 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.23 * pksmb,htru_pks * -1888 J1840-0809 J1840-0809 18:40:33.3 6.0e-03 -08:09:03.3 4.0e-01 * 0 * 0 * 0 52091.00 24.441 -1.308 0.955672 8.0e-12 2.35e-15 5.0e-19 * 0 * 0 52091.00 349.80 8.0e-01 * 0 * 0 2.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.75 * pksmb,htru_pks * -1889 J1840-0815 J1840-0815 18:40:13.7 1.3e-02 -08:15:10.6 7.0e-01 * 0 * 0 * 0 52091.00 24.314 -1.283 1.096440 1.4e-11 2.42e-15 9.0e-19 * 0 * 0 52091.00 233.20 1.2e+00 * 0 * 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.19 * pksmb,htru_pks * -1890 J1840-0840 J1840-0840 18:40:51.9 4.0e-01 -08:40:29 1.5e+01 * 0 * 0 * 0 53278.00 24.010 -1.616 5.309377 2.0e-09 2.37e-14 1.2e-15 * 0 * 0 53278.00 272.00 1.9e+01 * 0 * 0 1.72 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.10 * pksmb,htru_pks * - -1891 J1840-1122 J1840-1122 18:40:24.0 1.9e-02 -11:22:10.7 1.6e+00 * 0 * 0 * 0 52287.00 21.559 -2.745 0.940962 4.0e-11 6.41e-15 6.0e-18 * 0 * 0 52287.00 311.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.96 * pksmb,htru_pks * -1892 J1840-1207 J1840-1207 18:40:53.7 8.0e-03 -12:07:32.6 6.0e-01 * 0 * 0 * 0 53038.00 20.940 -3.197 0.754470 6.0e-12 3.20e-15 6.0e-19 * 0 * 0 53038.00 302.30 1.5e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.83 * pksmb,htru_pks * -1893 J1840-1419 J1840-1419 18:40:32.9 1.0e-02 -14:19:05 1.0e+00 * 0 * 0 * 0 55074.00 18.945 -4.118 6.597563 4.0e-10 6.33e-15 2.0e-17 * 0 * 0 55074.00 19.40 1.4e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.72 * pksmb RRAT -1894 B1839+56 J1840+5640 18:40:44.6 6.0e-03 +56:40:55.4 6.0e-02 -30.000 4.0e+00 -21.000 2.0e+00 * 0 48717.00 86.079 23.818 1.652862 2.0e-12 1.49e-15 1.4e-20 -9.100e-28 7.0e-29 * 0 48717.00 26.77 1.7e-04 * 0 21.00 3.0e+00 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * misc,gb4,gbncc * -1895 J1841+0130 J1841+0130 18:41:17.7 8.0e-03 +01:30:16.9 3.0e-01 * 0 * 0 * 0 53111.00 33.116 2.942 0.029773 4.0e-13 8.17e-18 5.0e-20 * 0 * 0 53111.00 125.88 6.0e-02 * 0 * 0 0.06 0 ELL1 * 0 10.4716 5.0e-06 3.5041 1.8e-04 182.36 0.0e+00 8.007e-05 0.0e+00 52747.5545 1.1e-04 -3.300e-06 1.0e-06 -8.000e-05 1.0e-05 4.23 * pksmb * - -1896 J1841-0157 J1841-0157 18:41:56.2 2.0e-02 -01:57:54.6 8.0e-01 * 0 * 0 * 0 52163.00 30.099 1.216 0.663321 9.0e-12 1.81e-14 5.0e-19 * 0 * 0 52163.00 475.00 3.0e+00 * 0 * 0 0.81 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * pksmb,htru_pks * -1897 J1841-0310 J1841-0310 18:41:25.8 1.4e-01 -03:10:21 9.0e+00 * 0 * 0 * 0 52353.00 28.968 0.776 1.657656 4.0e-10 3.35e-16 9.0e-18 * 0 * 0 52353.00 216.00 1.2e+01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * pksmb,htru_pks * -1898 J1841-0345 J1841-0345 18:41:38.6 5.0e-02 -03:48:42.6 1.6e+00 * 0 * 0 * 0 51646.00 28.424 0.437 0.204068 1.7e-11 5.79e-14 3.0e-18 * 0 * 0 51646.00 194.32 6.0e-02 * 0 * 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.78 * misc,pksmb,htru_pks * -1899 B1838-04 J1841-0425 18:41:05.6 1.0e-03 -04:25:19.5 7.0e-02 * 0 * 0 * 0 53900.00 27.818 0.279 0.186149 4.0e-13 6.39e-15 1.8e-20 -1.560e-24 4.0e-26 * 0 53900.00 325.49 1.5e-02 * 0 2.60 4.0e-01 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * jb2,pksmb,htru_pks * -1900 J1841-0456 J1841-0456 18:41:19.3 3.0e-02 -04:56:11.1 3.0e-01 * 0 * 0 * 0 55585.00 27.387 -0.007 11.788978 1.0e-06 4.09e-11 1.6e-13 -3.900e-22 7.0e-23 * 0 55585.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.60 SNR:Kes73,XRS:1E_1841-045 misc AXP,NRAD - -1901 J1841-0500 J1841-0500 18:41:18.1 5.0e-02 -05:00:19.5 8.0e-01 * 0 * 0 * 0 55800.00 27.323 -0.034 0.912914 1.7e-10 3.48e-14 1.7e-16 * 0 * 0 55800.00 532.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.97 * misc,htru_pks * -1902 J1841-0524 J1841-0524 18:41:49.3 5.0e-02 -05:24:29.5 1.2e+00 * 0 * 0 * 0 52360.00 27.024 -0.333 0.445749 3.0e-11 2.34e-13 1.0e-17 * 0 * 0 52360.00 284.50 3.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * pksmb * -1903 B1839+09 J1841+0912 18:41:55.9 2.7e-03 +09:12:07.3 6.5e-02 * 0 * 0 * 0 48266.00 40.078 6.278 0.381319 3.0e-12 1.09e-15 1.1e-20 6.350e-26 1.1e-27 * 0 48266.00 49.16 4.3e-03 * 0 20.00 1.0e+00 1.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * mol2,gb3,ar3,pkssw,gb4 * -1904 J1841-1404 J1841-1404 18:41:34.3 4.0e-01 -14:04:19 4.1e+01 * 0 * 0 * 0 53173.00 19.277 -4.227 1.334557 8.0e-10 6.41e-16 1.8e-16 * 0 * 0 53173.00 267.00 8.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.22 * pksmb * -1905 J1841-7845 J1841-7845 18:41:25.9 4.0e-01 -78:45:15 4.0e+00 * 0 * 0 * 0 53150.00 315.460 -26.082 0.353603 4.0e-10 1.60e-16 7.0e-17 * 0 * 0 53150.00 41.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * pkssw * - -1906 J1842-0153 J1842-0153 18:42:57.8 1.3e-02 -01:53:26.7 6.0e-01 * 0 * 0 * 0 51432.00 30.283 1.022 1.054228 3.0e-11 6.72e-15 4.0e-18 * 0 * 0 51432.00 434.00 5.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.97 * pksmb * -1907 J1842+0257 J1842+0257 18:42:30.9 4.0e-02 +02:57:58.8 1.4e+00 * 0 * 0 * 0 53040.00 34.558 3.336 3.088256 1.3e-10 2.96e-14 1.2e-17 * 0 * 0 53040.00 148.10 1.1e+00 * 0 * 0 0.26 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb * -1908 J1842-0309 J1842-0309 18:42:19.0 5.0e-02 -03:09:46 3.0e+00 * 0 * 0 * 0 52493.00 29.078 0.584 0.404920 3.0e-11 4.52e-15 4.0e-18 * 0 * 0 52493.00 955.00 7.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.58 * pksmb,htru_pks * -1909 J1842+0358 J1842+0358 18:42:17.0 6.0e-03 +03:58:35.3 3.0e-01 * 0 * 0 * 0 53108.00 35.434 3.846 0.233326 3.0e-12 8.11e-16 3.0e-19 * 0 * 0 53108.00 109.90 4.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.33 * pksmb * -1910 B1839-04 J1842-0359 18:42:26.4 1.4e-02 -03:59:59.8 6.1e-01 * 0 * 0 * 0 49462.00 28.347 0.174 1.839944 1.4e-11 5.09e-16 1.1e-19 9.800e-28 4.3e-28 * 0 49462.00 195.98 8.0e-02 * 0 18.70 0 4.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.71 * jb2,pksmb,htru_pks * - -1911 J1842-0415 J1842-0415 18:42:11.2 1.3e-02 -04:15:38.2 7.0e-01 * 0 * 0 * 0 51589.00 28.086 0.111 0.526682 1.2e-11 2.19e-14 1.2e-18 * 0 * 0 51589.00 188.00 4.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.64 * misc,pksmb,htru_pks * -1912 J1842-0612 J1842-0612 18:42:43.0 1.0e-01 -06:12:36 5.0e+00 * 0 * 0 * 0 52402.00 26.413 -0.898 0.564475 1.6e-10 2.20e-17 9.0e-18 * 0 * 0 52402.00 485.00 1.0e+01 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.73 * pksmb,htru_pks * -1913 J1842+0638 J1842+0638 18:42:10.0 1.7e-02 +06:38:15.0 7.0e-01 * 0 * 0 * 0 53125.00 37.801 5.075 0.313016 1.1e-11 7.60e-17 1.7e-18 * 0 * 0 53125.00 212.20 1.2e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.94 * pksmb * -1914 J1842-0800 J1842-0800 18:42:54.9 1.3e-02 -08:00:53.5 7.0e-01 * 0 * 0 * 0 56611.00 24.829 -1.766 1.255469 3.0e-11 1.94e-16 5.0e-20 * 0 * 0 56611.00 188.60 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * htru_pks * -1915 J1842-0905 J1842-0905 18:42:22.1 7.0e-03 -09:05:24.6 8.0e-01 * 0 * 0 * 0 51805.00 23.810 -2.136 0.344643 5.0e-12 1.05e-14 5.0e-19 * 0 * 0 51805.00 343.40 2.0e-01 * 0 * 0 0.81 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.72 * pksmb,htru_pks * - -1916 J1842+1332 J1842+1332 18:42:29.9 6.0e-02 +13:32:01.5 9.0e-01 * 0 * 0 * 0 51650.00 44.054 8.074 0.471604 3.0e-11 2.29e-16 7.0e-18 * 0 * 0 51650.00 102.50 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.43 * pkssw * -1917 J1843-0000 J1843-0000 18:43:27.9 9.0e-03 -00:00:40.9 6.0e-01 * 0 * 0 * 0 51910.00 32.013 1.768 0.880330 3.0e-11 7.79e-15 4.0e-18 * 0 * 0 51910.00 101.50 8.0e-01 * 0 * 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * pksmb,palfa * -1918 J1843-0050 J1843-0050 18:43:36.7 6.0e-02 -00:50:10 3.0e+00 * 0 * 0 * 0 51462.00 31.295 1.360 0.782598 8.0e-11 2.49e-16 1.2e-17 * 0 * 0 51462.00 507.00 7.0e+00 * 0 * 0 0.24 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.30 * pksmb * -1919 J1843-0137 J1843-0137 18:43:12.6 3.0e-02 -01:37:46.3 1.2e+00 * 0 * 0 * 0 52490.00 30.543 1.087 0.669872 3.0e-11 2.47e-15 1.4e-17 * 0 * 0 52490.00 486.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * pksmb * -1920 J1843-0211 J1843-0211 18:43:30.3 2.0e-02 -02:11:02.8 7.0e-01 * 0 * 0 * 0 52608.00 30.084 0.768 2.027524 5.0e-11 1.44e-14 3.0e-17 * 0 * 0 52608.00 441.70 9.0e-01 * 0 * 0 0.93 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pksmb,htru_pks * - -1921 J1843-0355 J1843-0355 18:43:06.6 5.0e-02 -03:55:56 3.0e+00 * 0 * 0 * 0 51490.00 28.484 0.056 0.132314 1.1e-11 1.04e-15 3.0e-18 * 0 * 0 51490.00 797.70 6.0e-01 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb,htru_pks * -1922 J1843-0408 J1843-0408 18:43:43.4 7.0e-02 -04:08:04 3.0e+00 * 0 * 0 * 0 52353.00 28.374 -0.172 0.781934 7.0e-11 2.39e-15 3.0e-17 * 0 * 0 52353.00 246.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * pksmb,htru_pks * -1923 J1843-0459 J1843-0459 18:43:27.6 1.8e-02 -04:59:30.4 1.3e+00 * 0 * 0 * 0 51719.00 27.581 -0.505 0.754963 3.0e-11 8.54e-16 1.0e-17 * 0 * 0 51719.00 444.10 5.0e-01 * 0 * 0 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.89 * pksmb,htru_pks * -1924 J1843-0510 J1843-0510 18:43:09.7 1.2e-02 -05:10:04.5 5.0e-01 * 0 * 0 * 0 56514.00 27.391 -0.520 0.671614 1.3e-11 3.89e-15 1.2e-18 * 0 * 0 56514.00 257.00 0 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * htru_pks * -1925 J1843-0702 J1843-0702 18:43:22.4 1.0e-02 -07:02:54.6 7.0e-01 * 0 * 0 * 0 52608.00 25.741 -1.426 0.191614 3.0e-12 2.14e-15 1.5e-18 * 0 * 0 52608.00 228.40 2.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.28 * pksmb * - -1926 J1843-0744 J1843-0744 18:43:05.4 8.0e-03 -07:44:30.1 5.0e-01 * 0 * 0 * 0 54274.10 25.092 -1.680 0.475393 1.0e-11 1.33e-14 1.0e-18 * 0 * 0 54274.10 321.00 5.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.05 * pksmb,htru_pks * -1927 J1843-0806 J1843-0806 18:43:28.7 1.1e-02 -08:06:44.9 7.0e-01 * 0 * 0 * 0 52608.00 24.806 -1.934 0.536414 9.0e-12 1.74e-14 4.0e-18 * 0 * 0 52608.00 215.80 9.0e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.31 * pksmb,htru_pks * -1928 J1843-1113 J1843-1113 18:43:41.2 1.2e-05 -11:13:31.0 7.0e-04 -1.910 7.0e-02 -3.200 3.0e-01 0.690 3.3e-01 55000.00 22.055 -3.397 0.001846 6.0e-16 9.55e-21 7.0e-24 * 0 * 0 55000.00 59.96 8.0e-03 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.26 GRS:[hsg+14] pksmb,htru_pks HE -1929 J1843-1448 J1843-1448 18:43:01.3 3.0e-04 -14:48:12.6 3.0e-02 10.500 1.9e-01 12.000 1.5e+01 * 0 53934.00 18.782 -4.871 0.005471 6.0e-16 6.21e-21 1.8e-23 * 0 * 0 53934.00 114.51 7.0e-02 * 0 * 0 0.57 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.47 * pksmb * -1930 J1843-1507 J1843-1507 18:43:33.6 7.0e-03 -15:07:03.0 8.0e-01 * 0 * 0 * 0 53095.00 18.559 -5.129 0.583550 5.0e-12 7.20e-15 6.0e-19 * 0 * 0 53095.00 215.50 7.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.02 * pksmb,htru_pks * - -1931 J1843+2024 J1843+2024 18:43:26.1 7.0e-02 +20:24:54.6 1.2e+00 * 0 * 0 * 0 53064.00 50.444 10.846 3.406539 4.0e-10 1.04e-15 4.0e-17 * 0 * 0 53064.00 85.30 2.0e-01 * 0 0.37 3.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * ar4 * -1932 J1844+00 J1844+00 18:44:11 1.6e+01 +00:35 5.0e+00 * 0 * 0 * 0 49717.00 32.624 1.880 0.460503 3.0e-06 * 0 * 0 * 0 49717.00 345.54 2.0e-01 * 0 * 0 8.60 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.84 * ar4,pksmb,palfa * -1933 J1844-0030 J1844-0030 18:44:41.0 1.9e-02 -00:30:25.8 1.3e+00 * 0 * 0 * 0 52632.00 31.710 1.271 0.641098 3.0e-11 6.08e-15 8.0e-18 * 0 * 0 52632.00 605.00 3.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.44 * pksmb * -1934 J1844+0115 J1844+0115 18:44:40.5 3.0e-04 +01:15:34.9 1.1e-02 * 0 * 0 * 0 55383.00 33.283 2.079 0.004186 3.0e-15 1.07e-20 3.0e-22 * 0 * 0 55383.00 148.22 2.0e-02 * 0 * 0 0.10 0 ELL1 * 0 50.6459 1.1e-06 14.1735 9.0e-06 189.64 0.0e+00 2.578e-04 0.0e+00 55382.5324 5.0e-06 -4.320e-05 1.3e-06 -2.542e-04 1.1e-06 4.36 * palfa * -1935 B1842-02 J1844-0244 18:44:44.9 1.6e-02 -02:44:40.9 6.5e-01 * 0 * 0 * 0 49610.00 29.727 0.235 0.507722 1.3e-11 1.67e-14 1.1e-19 -9.300e-27 6.9e-27 * 0 49610.00 429.00 3.0e+00 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * jb2,pksmb,htru_pks * - -1936 J1844-0256 J1844-0256 18:44:53 3.0e+01 -02:56 7.0e+00 * 0 * 0 * 0 51465.00 29.574 0.119 0.272963 1.0e-06 * 0 * 0 * 0 51465.00 826.00 2.0e+00 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * misc,pksmb,htru_pks * -1937 J1844-03 J1844-03 18:44:57 3.0e+00 -03:00:00 4.0e+01 * 0 * 0 * 0 49272.00 29.523 0.074 6.971270 2.8e-04 * 0 * 0 * 0 49272.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:AX_J1845-0258,CXOU_J184454.6-025653( misc NRAD,AXP(?) -1938 J1844-0302 J1844-0302 18:44:06.9 1.2e-02 -03:02:11.2 5.0e-01 * 0 * 0 * 0 56613.00 29.395 0.243 1.198630 2.0e-11 7.81e-15 5.0e-21 * 0 * 0 56613.00 533.00 0 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.26 * htru_pks * -1939 J1844-0310 J1844-0310 18:44:45.4 5.0e-02 -03:10:37.1 2.0e+00 * 0 * 0 * 0 51593.96 29.343 0.036 0.525049 4.0e-11 1.02e-14 4.0e-18 * 0 * 0 51593.96 836.10 5.0e-01 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.97 * misc,pksmb,htru_pks * -1940 J1844-0346 J1844-0346 18:44:32.8 2.0e-02 -03:46:30.6 9.0e-01 * 0 * 0 * 0 55716.00 28.787 -0.191 0.112855 1.1e-11 1.55e-13 7.0e-19 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1844.3-0344[aaa+15] FermiBlind NRAD - -1941 B1841-04 J1844-0433 18:44:33.4 4.8e-03 -04:33:12.4 2.5e-01 * 0 * 0 * 0 49626.00 28.096 -0.548 0.991027 3.0e-12 3.91e-15 1.6e-20 -1.500e-27 4.0e-28 * 0 49626.00 123.16 2.0e-02 * 0 8.10 7.0e-01 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.07 * jb2,pks70,pksmb,htru_pks * -1942 J1844-0452 J1844-0452 18:44:01.5 4.0e-02 -04:52:20.9 1.9e+00 * 0 * 0 * 0 52471.00 27.752 -0.576 0.269443 3.0e-11 6.80e-16 6.0e-18 * 0 * 0 52471.00 626.00 4.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.69 * pksmb * -1943 J1844-0502 J1844-0502 18:44:33.9 7.0e-02 -05:02:00.5 2.3e+00 * 0 * 0 * 0 52608.00 27.670 -0.769 0.335163 4.0e-11 6.18e-17 1.2e-17 * 0 * 0 52608.00 318.00 5.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.58 * pksmb * -1944 B1841-05 J1844-0538 18:44:05.1 1.9e-03 -05:38:34.1 1.1e-01 * 0 * 0 * 0 49551.00 27.073 -0.941 0.255699 8.0e-12 9.71e-15 6.0e-20 -1.330e-25 1.5e-26 * 0 49551.00 411.71 4.0e-02 * 0 * 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * jb2,pksmb,htru_pks * -1945 B1842+14 J1844+1454 18:44:54.8 1.1e-03 +14:54:14.1 3.0e-02 -9.000 1.0e+01 45.000 6.0e+00 * 0 49362.00 45.557 8.149 0.375463 3.0e-11 1.87e-15 3.0e-19 6.000e-26 2.7e-26 * 0 49362.00 41.49 6.1e-04 * 0 20.00 2.0e+00 1.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * mol2,ar2,ar3,pkssw,gb4 * - -1946 J1845-0316 J1845-0316 18:45:52.9 1.0e-01 -03:16:05 1.2e+01 * 0 * 0 * 0 51350.00 29.390 -0.255 0.207636 1.0e-10 8.86e-15 6.0e-17 * 0 * 0 51350.00 500.00 1.4e-01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.07 * misc,pksmb,htru_pks * -1947 B1842-04 J1845-0434 18:45:34.7 7.0e-03 -04:34:29.8 2.9e-01 * 0 * 0 * 0 49610.00 28.193 -0.785 0.486751 4.0e-10 1.13e-14 3.0e-18 1.000e-25 1.8e-25 * 0 49610.00 230.80 2.0e-01 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * jb2,pksmb,htru_pks * -1948 J1845-0545 J1845-0545 18:45:38.4 4.0e-02 -05:45:18.2 1.0e+00 * 0 * 0 * 0 52608.00 27.150 -1.337 1.092348 5.0e-11 1.34e-14 3.0e-17 * 0 * 0 52608.00 315.90 1.2e+00 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.48 * pksmb,htru_pks * -1949 J1845+0623 J1845+0623 18:45:08.5 3.0e-02 +06:23:57.6 9.0e-01 * 0 * 0 * 0 53095.00 37.923 4.308 1.421654 7.0e-11 5.46e-16 7.0e-18 * 0 * 0 53095.00 113.00 1.4e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * pksmb * -1950 J1845-0635 J1845-0635 18:45:07.4 9.0e-03 -06:35:23.4 8.0e-01 * 0 * 0 * 0 54844.50 26.348 -1.603 0.340528 2.0e-11 4.49e-15 8.0e-18 * 0 * 0 54844.50 414.00 1.0e+00 * 0 * 0 0.36 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.40 * pksmb * - -1951 J1845-0743 J1845-0743 18:45:57.1 1.0e-02 -07:43:38.4 6.0e-01 * 0 * 0 * 0 52010.00 25.429 -2.304 0.104695 5.0e-12 3.67e-16 1.1e-18 * 0 * 0 52010.00 280.93 2.0e-02 * 0 * 0 2.70 2.8e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * pksmb,htru_pks * -1952 J1845-0826 J1845-0826 18:45:05.6 1.9e-02 -08:26:39.7 1.2e+00 * 0 * 0 * 0 53112.00 24.693 -2.441 0.634354 1.7e-11 9.35e-15 3.0e-18 * 0 * 0 53112.00 228.20 1.2e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.01 * pksmb * -1953 J1845-1114 J1845-1114 18:45:45.7 6.0e-03 -11:14:11.0 5.0e-01 * 0 * 0 * 0 53036.00 22.276 -3.855 0.206220 1.3e-12 2.01e-15 1.3e-19 * 0 * 0 53036.00 206.70 5.0e-01 * 0 * 0 0.52 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.74 * pksmb,htru_pks * -1954 J1845-1351 J1845-1351 18:45:11.5 3.0e-02 -13:51:54.5 2.0e+00 * 0 * 0 * 0 53112.00 19.860 -4.918 2.618918 6.0e-11 9.72e-15 8.0e-18 * 0 * 0 53112.00 197.40 1.4e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.18 * pksmb * -1955 J1846+0051 J1846+0051 18:46:43.8 2.0e-02 +00:51:39.0 7.0e-01 * 0 * 0 * 0 52554.00 33.162 1.440 0.434373 1.6e-11 1.12e-14 3.0e-18 * 0 * 0 52554.00 140.00 3.0e+00 * 0 * 0 0.34 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb * - -1956 J1846-0257 J1846-0257 18:46:15.4 4.0e-02 -02:57:36.0 1.8e+00 * 0 * 0 * 0 53039.00 29.707 -0.198 4.476723 1.0e-10 1.61e-13 3.0e-18 * 0 * 0 53039.00 237.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb RRAT -1957 J1846-0258 J1846-0258 18:46:24.9 1.0e-02 -02:58:30.1 2.0e-01 * 0 * 0 * 0 54834.00 29.712 -0.240 0.326571 5.0e-11 7.11e-12 3.0e-18 2.725e-21 3.0e-24 * 0 54834.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 SNR:Kes75,XRS:PWN:[hcg03],GRS:[kd16] misc NRAD -1958 J1846-0749 J1846-0749 18:46:19.7 5.0e-03 -07:49:21.4 3.0e-01 * 0 * 0 * 0 53172.00 25.386 -2.431 0.350110 4.0e-12 1.26e-15 4.0e-19 * 0 * 0 53172.00 388.30 5.0e-01 * 0 * 0 0.35 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.93 * pksmb,htru_pks * -1959 J1846-07492 J1846-07492 18:46:07.9 9.0e-03 -07:49:13.2 6.0e-01 * 0 * 0 * 0 54283.70 25.366 -2.386 0.861380 1.5e-11 5.19e-15 3.0e-18 * 0 * 0 54283.70 192.00 5.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb * -1960 J1846+0919 J1846+0919 18:46:26.0 6.0e-01 +09:19:46 1.1e+01 * 0 * 0 * 0 54800.00 40.693 5.342 0.225551 3.0e-10 9.93e-15 3.0e-17 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 GRS:2FGL_J1846.4+0920[naa+12] FermiBlind NRAD - -1961 J1846-42 J1846-42 18:46 0 -42:49 0 * 0 * 0 * 0 55927.00 353.047 -17.123 2.273000 0 * 0 * 0 * 0 55927.00 62.00 0 * 0 * 0 0.29 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * htru_pks * -1962 J1846-7403 J1846-7403 18:46:13.7 1.7e-01 -74:03:04 2.0e+00 * 0 * 0 * 0 53000.00 320.674 -25.650 4.878839 5.0e-10 6.06e-15 1.0e-16 * 0 * 0 53000.00 97.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pkssw * -1963 J1847-0130 J1847-0130 18:47:35.2 9.0e-02 -01:30:46 3.0e+00 * 0 * 0 * 0 52353.00 31.147 0.167 6.707046 9.0e-10 1.27e-12 3.0e-16 * 0 * 0 52353.00 667.00 6.0e+00 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb * -1964 B1844-04 J1847-0402 18:47:22.8 1.6e-03 -04:02:14.2 6.0e-02 -1.000 7.0e+00 8.000 1.9e+01 * 0 48736.00 28.876 -0.939 0.597792 1.5e-10 5.17e-14 1.1e-18 7.970e-26 5.0e-28 * 0 53902.00 141.98 5.0e-03 * 0 75.00 3.0e+00 4.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * jb1,mol2,jb2,gb3,pks70,pksmb,htru_p * -1965 J1847-0427 J1847-0427 18:47:18.8 5.0e-02 -04:27:59 2.0e+00 * 0 * 0 * 0 56611.00 28.487 -1.120 0.259247 2.0e-11 5.90e-18 5.0e-19 * 0 * 0 56611.00 188.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * htru_pks * - -1966 J1847-0438 J1847-0438 18:47:37.9 1.3e-02 -04:38:15.3 9.0e-01 * 0 * 0 * 0 51319.00 28.371 -1.268 0.957991 3.0e-11 1.09e-14 9.0e-18 * 0 * 0 51319.00 229.00 4.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1967 J1847-0443 J1847-0443 18:47:51.8 3.0e-02 -04:43:36.2 8.0e-01 * 0 * 0 * 0 52403.00 28.318 -1.361 0.340832 1.4e-11 2.83e-17 4.0e-19 * 0 * 0 52403.00 454.90 2.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.51 * pksmb,htru_pks * -1968 J1847-0605 J1847-0605 18:47:21.0 1.1e-02 -06:05:14.1 9.0e-01 * 0 * 0 * 0 51719.00 27.048 -1.867 0.778164 1.9e-11 4.65e-15 7.0e-18 * 0 * 0 51719.00 207.90 1.8e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb,htru_pks * -1969 J1848-0023 J1848-0023 18:48:37.8 9.0e-02 -00:23:17 4.0e+00 * 0 * 0 * 0 52522.00 32.267 0.447 0.537624 9.0e-11 1.61e-15 1.8e-17 * 0 * 0 52522.00 30.60 1.0e-01 * 0 * 0 0.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * pksmb * -1970 J1848-0055 J1848-0055 18:48:45.5 1.9e-01 -00:55:53 4.0e+00 * 0 * 0 * 0 52353.00 31.798 0.171 0.274557 7.0e-11 1.35e-15 3.0e-17 * 0 * 0 52353.00 1166.00 7.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.41 * pksmb * - -1971 B1845-01 J1848-0123 18:48:23.5 1.5e-03 -01:23:58.3 5.0e-02 -5.000 6.0e+00 14.000 1.6e+01 * 0 53868.00 31.339 0.039 0.659432 3.0e-11 5.25e-15 1.4e-19 -1.800e-26 7.0e-27 * 0 50022.00 159.53 8.0e-03 * 0 79.00 6.0e+00 8.60 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * misc,jb1,mol2,jb2,pks70,pksmb * -1972 J1848+0351 J1848+0351 18:48:42.2 1.0e-02 +03:51:35.7 3.0e-01 * 0 * 0 * 0 54620.00 36.058 2.366 0.191443 2.0e-12 6.73e-17 1.0e-19 * 0 * 0 54620.00 336.60 4.0e-01 * 0 * 0 0.07 3.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.79 * palfa * -1973 J1848-0511 J1848-0511 18:48:15.0 1.4e-01 -05:11:38 5.0e+00 * 0 * 0 * 0 52777.00 27.945 -1.659 1.637129 6.0e-10 8.86e-15 1.1e-17 * 0 * 0 52777.00 418.00 7.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.80 * pksmb,htru_pks * -1974 J1848-0601 J1848-0601 18:48:20.3 1.4e-02 -06:01:07.7 8.0e-01 * 0 * 0 * 0 53041.00 27.221 -2.054 0.225004 4.0e-12 2.87e-16 4.0e-19 * 0 * 0 53041.00 496.60 4.0e-01 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.66 * pksmb,htru_pks * -1975 J1848+0604 J1848+0604 18:48:54.6 7.0e-03 +06:04:46.8 3.0e-01 * 0 * 0 * 0 51602.00 38.062 3.328 2.218603 3.0e-11 3.74e-15 6.0e-18 * 0 * 0 51602.00 242.70 7.0e-01 * 0 1.00 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.61 * ar4,pksmb * - -1976 J1848+0647 J1848+0647 18:48:56.0 3.0e-02 +06:47:31.7 4.0e-01 * 0 * 0 * 0 51824.00 38.701 3.646 0.505957 2.0e-10 8.75e-15 1.0e-19 * 0 * 0 51824.00 27.90 2.0e-01 * 0 2.30 1.0e-01 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.13 * ar4,pksmb * -1977 J1848+0826 J1848+0826 18:48:43.7 2.0e-02 +08:26:35.9 7.0e-01 * 0 * 0 * 0 49079.50 40.154 4.437 0.328665 2.0e-11 2.72e-16 6.0e-19 * 0 * 0 49079.50 90.68 8.0e-02 * 0 2.80 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.87 * ar3,pksmb * -1978 J1848-1150 J1848-1150 18:48:11.8 3.0e-02 -11:50:09.2 1.8e+00 * 0 * 0 * 0 53040.00 22.009 -4.658 1.312218 3.0e-11 1.43e-15 3.0e-18 * 0 * 0 53040.00 163.40 1.8e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.65 * pksmb,htru_pks * -1979 J1848+12 J1848+12 18:48:30 2.0e+01 +12:50 5.0e+00 * 0 * 0 * 0 51316.70 44.072 6.454 0.754730 7.0e-05 * 0 * 0 * 0 51316.70 139.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.52 * pkssw * -1980 J1848-1243 J1848-1243 18:48:18.0 1.4e-02 -12:43:30 1.0e+00 * 0 * 0 * 0 55595.00 21.224 -5.081 0.414383 2.0e-11 4.41e-16 8.0e-19 * 0 * 0 55595.00 91.96 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * pksmb RRAT - -1981 J1848-1414 J1848-1414 18:48:39.1 1.9e-02 -14:14:17 2.2e+00 * 0 * 0 * 0 50866.00 19.903 -5.835 0.297770 3.0e-12 1.41e-17 3.0e-20 6.400e-27 8.8e-27 * 0 50866.00 134.47 9.0e-02 * 0 13.00 0 0.55 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.27 * pks70,pkssw,htru_pks * -1982 B1845-19 J1848-1952 18:48:18.0 4.6e-02 -19:52:31 6.8e+00 * 0 * 0 * 0 48695.00 14.772 -8.254 4.308190 4.0e-11 2.33e-14 1.7e-19 2.200e-28 1.4e-28 * 0 48695.00 18.23 7.0e-02 * 0 17.00 2.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.75 * mol2,pkssw,htru_pks * -1983 J1849-0001 J1849-0001 18:49:01.6 3.0e-02 -00:01:17.6 6.0e-01 * 0 * 0 * 0 55535.29 32.638 0.527 0.038519 1.2e-11 1.42e-14 5.8e-17 * 0 * 0 55535.29 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:XMMU_J184901.6-000117,GRS:IGR_18490- misc NRAD -1984 J1849-0040 J1849-0040 18:49:10.2 8.0e-02 -00:40:20 6.0e+00 * 0 * 0 * 0 52633.00 32.075 0.198 0.672481 1.4e-10 1.11e-14 4.0e-17 * 0 * 0 52633.00 1234.90 1.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.78 * pksmb * -1985 J1849+0127 J1849+0127 18:49:44.1 1.5e-01 +01:27:23 4.0e+00 * 0 * 0 * 0 51664.00 34.034 1.043 0.542155 9.0e-11 2.80e-14 6.0e-17 * 0 * 0 51664.00 207.30 2.6e+00 * 0 * 0 0.46 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 * pksmb,palfa * - -1986 J1849-0317 J1849-0317 18:49:57.8 3.0e-02 -03:17:31 3.0e+00 * 0 * 0 * 0 51720.00 29.834 -1.173 0.668408 4.0e-11 2.20e-14 1.8e-17 * 0 * 0 51720.00 42.90 2.8e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 * pksmb,htru_pks * -1987 J1849+0409 J1849+0409 18:49:03.4 1.3e-02 +04:09:42.3 5.0e-01 * 0 * 0 * 0 53035.00 36.367 2.425 0.761194 1.1e-11 2.16e-14 1.2e-18 * 0 * 0 53035.00 56.10 1.4e+00 * 0 * 0 0.31 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.67 * pksmb,palfa * -1988 J1849-0614 J1849-0614 18:49:45.1 1.9e-02 -06:14:31.5 8.0e-01 * 0 * 0 * 0 52417.00 27.182 -2.469 0.953384 3.0e-11 5.39e-14 6.0e-18 * 0 * 0 52417.00 119.60 1.2e+00 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.52 * pksmb * -1989 B1846-06 J1849-0636 18:49:06.4 4.1e-03 -06:37:06.9 2.2e-01 * 0 * 0 * 0 48736.00 26.773 -2.497 1.451319 1.1e-11 4.62e-14 1.1e-19 -1.400e-26 6.0e-28 * 0 48736.00 148.17 1.2e-02 * 0 26.00 1.0e+00 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.85 * jb1,mol2,gb3,pksmb,pks70 * -1990 J1849+2423 J1849+2423 18:49:34.6 4.0e-04 +24:23:45.9 1.2e-02 * 0 * 0 * 0 52199.00 54.731 11.240 0.275641 7.0e-14 1.53e-16 4.0e-21 * 0 * 0 52199.00 62.27 1.6e-03 * 0 2.30 6.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * ar4 * - -1991 J1850-0006 J1850-0006 18:50:47.9 8.0e-02 -00:06:26.1 4.5e+00 * 0 * 0 * 0 54274.60 32.764 0.093 2.191498 5.0e-10 4.32e-15 5.0e-17 * 0 * 0 54274.60 570.00 2.0e+01 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.63 SNR:G32.45+0.1(?) pksmb * -1992 J1850-0026 J1850-0026 18:50:14.7 4.0e-03 -00:26:11.6 2.0e-01 * 0 * 0 * 0 54263.70 32.407 0.066 0.166634 2.0e-12 3.91e-14 2.0e-18 * 0 * 0 54263.70 947.00 5.0e+00 * 0 * 0 1.77 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.71 * pksmb * -1993 J1850+0026 J1850+0026 18:50:45.1 1.0e-02 +00:26:25.6 9.0e-01 * 0 * 0 * 0 51353.00 33.246 0.353 1.081844 3.0e-11 3.59e-16 1.1e-17 * 0 * 0 51353.00 201.40 1.2e+00 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb * -1994 J1850-0031 J1850-0031 18:50:33.3 9.0e-02 -00:31:09 4.0e+00 * 0 * 0 * 0 52015.00 32.369 -0.041 0.734185 1.0e-10 1.26e-15 6.0e-18 * 0 * 0 52015.00 895.00 8.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.50 * pksmb * -1995 J1850+0124 J1850+0124 18:50:01.0 8.0e-04 +01:24:34.6 3.0e-02 * 0 * 0 * 0 55383.00 34.025 0.959 0.003560 6.0e-15 1.09e-20 6.0e-22 * 0 * 0 55383.00 118.89 5.0e-02 * 0 * 0 0.20 0 ELL1 * 0 84.9499 4.0e-06 34.0010 2.0e-05 98.75 0.0e+00 6.900e-05 0.0e+00 55217.9638 1.1e-05 6.820e-05 1.2e-06 -1.050e-05 1.3e-06 3.39 * palfa * - -1996 J1850+0242 J1850+0242 18:50:41.6 1.0e-03 +02:42:57.4 3.0e-02 * 0 * 0 * 0 56554.29 35.265 1.403 0.004480 7.0e-14 1.63e-19 5.0e-21 * 0 * 0 56554.29 540.07 9.0e-03 * 0 * 0 * 0 ELL1 * 0 0.7354 1.0e-08 0.4524 9.0e-06 92.54 0.0e+00 9.009e-05 0.0e+00 56468.1795 6.0e-06 9.000e-05 3.0e-05 -4.000e-06 4.0e-06 12.30 * palfa * -1997 J1850+0423 J1850+0423 18:50:23.4 1.0e-02 +04:23:09.2 4.0e-01 * 0 * 0 * 0 54600.00 36.718 2.231 0.290716 3.0e-12 9.14e-17 2.0e-19 * 0 * 0 54600.00 265.80 4.0e-01 * 0 * 0 0.20 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.23 * palfa * -1998 B1848+13 J1850+1335 18:50:35.4 2.2e-03 +13:35:58.3 6.1e-02 * 0 * 0 * 0 49722.00 44.990 6.339 0.345582 4.0e-13 1.49e-15 4.0e-21 -1.060e-26 5.0e-28 * 0 49722.00 60.14 6.6e-03 * 0 6.00 1.0e+00 0.65 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * gb3,ar3,pkssw,pksmb * -1999 J1850+15 J1850+15 18:50:09 5.8e+01 +15:32 1.5e+01 * 0 * 0 * 0 54831.00 46.688 7.292 1.383965 3.0e-06 * 0 * 0 * 0 54831.00 24.70 8.7e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 * pkssw RRAT -2000 J1851-0029 J1851-0029 18:51:55.0 1.0e-02 -00:29:58.1 5.0e-01 * 0 * 0 * 0 54143.70 32.542 -0.335 0.518721 9.0e-12 4.74e-15 1.1e-18 * 0 * 0 54143.70 510.00 2.0e+01 * 0 * 0 0.44 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pksmb * - -2001 J1851-0053 J1851-0053 18:51:03.1 8.0e-02 -00:53:07.3 1.9e+00 * 0 * 0 * 0 52585.00 32.100 -0.318 1.409065 1.6e-10 8.74e-16 8.0e-17 * 0 * 0 52585.00 24.00 4.0e+00 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.96 * pksmb * -2002 J1851-0114 J1851-0114 18:51:16.4 3.0e-02 -01:14:13.4 1.3e+00 * 0 * 0 * 0 53038.00 31.812 -0.527 0.953182 4.0e-11 2.48e-15 4.0e-18 * 0 * 0 53038.00 427.20 1.4e+00 * 0 * 0 0.28 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.22 * pksmb * -2003 J1851+0118 J1851+0118 18:51:52.1 1.3e-01 +01:18:59 5.0e+00 * 0 * 0 * 0 51936.00 34.153 0.504 0.906977 1.4e-10 1.37e-13 9.0e-18 * 0 * 0 51936.00 418.00 7.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.64 * pksmb,palfa * -2004 J1851+0233 J1851+0233 18:51:09.1 1.9e-02 +02:33:46.4 9.0e-01 * 0 * 0 * 0 56700.00 35.181 1.232 0.344018 1.2e-11 2.18e-15 1.3e-18 * 0 * 0 56700.00 606.00 4.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.64 * palfa * -2005 J1851-0241 J1851-0241 18:51:15.2 1.0e-01 -02:41:31 3.0e+00 * 0 * 0 * 0 52300.00 30.515 -1.186 0.435194 4.0e-11 7.96e-15 3.0e-18 * 0 * 0 52300.00 515.00 5.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.93 * pksmb * - -2006 B1848+04 J1851+0418 18:51:03.2 1.3e-02 +04:18:12.0 3.9e-01 * 0 * 0 * 0 49845.00 36.720 2.046 0.284697 3.0e-12 1.09e-15 1.7e-20 2.240e-25 5.0e-27 * 0 49845.00 115.54 5.0e-02 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * misc,pksmb,palfa * -2007 B1848+12 J1851+1259 18:51:13.2 6.1e-03 +12:59:35.2 1.4e-01 * 0 * 0 * 0 49908.00 44.513 5.932 1.205303 1.1e-10 1.15e-14 8.0e-19 1.470e-25 1.1e-26 * 0 49908.00 70.63 1.7e-03 * 0 8.00 2.0e+00 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 * gb3,pksmb * -2008 J1852+0008 J1852+0008 18:52:42.7 3.0e-02 +00:08:09.6 8.0e-01 * 0 * 0 * 0 52584.00 33.198 -0.222 0.467894 2.0e-11 5.68e-15 7.0e-18 * 0 * 0 52584.00 254.90 1.8e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb * -2009 J1852+0013 J1852+0013 18:52:41.7 2.0e-02 +00:13:57.1 1.2e+00 * 0 * 0 * 0 52633.00 33.282 -0.174 0.957751 5.0e-11 1.40e-14 1.2e-17 * 0 * 0 52633.00 545.00 3.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.58 * pksmb * -2010 B1849+00 J1852+0031 18:52:27.4 1.1e-01 +00:32:02 3.9e+00 * 0 * 0 * 0 49613.00 33.523 0.017 2.180195 1.5e-10 9.70e-14 1.5e-18 -1.700e-26 4.0e-27 * 0 49613.00 787.00 1.7e+01 * 0 * 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * jb2,pksmb,palfa * - -2011 J1852+0033 J1852+0033 18:52:46.6 1.0e-01 +00:33:20.9 1.5e+00 * 0 * 0 * 0 54728.70 33.579 -0.044 11.558713 6.0e-08 0.00e+00 1.4e-13 * 0 * 0 54728.70 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:3XMM_J185246.6+003317 misc AXP,NRAD -2012 J1852+0040 J1852+0040 18:52:38.5 4.0e-02 +00:40:19.8 6.0e-01 * 0 * 0 * 0 54597.00 33.667 0.038 0.104913 4.0e-12 8.68e-18 9.0e-20 * 0 * 0 54597.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.00 SNR:G33.6+0.1(Kes79),XRS:CXOU_J185238.6+ misc NRAD -2013 J1852-0118 J1852-0118 18:52:17.1 3.0e-02 -01:18:14.8 1.7e+00 * 0 * 0 * 0 52611.00 31.868 -0.783 0.451473 3.0e-11 1.76e-15 1.1e-17 * 0 * 0 52611.00 286.00 3.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.72 * pksmb * -2014 J1852-0127 J1852-0127 18:52:03.6 4.0e-02 -01:27:23.4 1.4e+00 * 0 * 0 * 0 52608.00 31.706 -0.802 0.428979 3.0e-11 5.15e-15 8.0e-18 * 0 * 0 52608.00 431.00 3.0e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.71 * pksmb * -2015 J1852+0305 J1852+0305 18:52:32.6 5.0e-01 +03:05:05 9.0e+00 * 0 * 0 * 0 51664.00 35.804 1.160 1.326149 8.0e-10 1.02e-16 5.3e-16 * 0 * 0 51664.00 320.00 1.2e+01 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * pksmb,palfa * - -2016 J1852-0635 J1852-0635 18:52:57.3 1.4e-01 -06:35:57 8.0e+00 * 0 * 0 * 0 52477.00 27.225 -3.340 0.524151 1.4e-10 1.46e-14 5.0e-17 * 0 * 0 52477.00 171.00 6.0e+00 * 0 * 0 5.90 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.51 * pksmb,htru_pks * -2017 J1852-2610 J1852-2610 18:52:59.4 1.3e-02 -26:10:12.7 1.8e+00 * 0 * 0 * 0 50866.00 9.458 -11.918 0.336337 6.0e-13 8.77e-17 6.0e-21 1.620e-26 1.6e-27 * 0 50866.00 56.81 1.9e-02 * 0 12.00 0 1.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * pks70,pkssw,htru_pks * -2018 J1853-0004 J1853-0004 18:53:23.0 6.0e-03 -00:04:32.3 4.0e-01 * 0 * 0 * 0 52633.00 33.086 -0.467 0.101436 1.4e-12 5.57e-15 5.0e-19 * 0 * 0 52633.00 437.50 1.0e-01 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.34 * pksmb * -2019 J1853+0011 J1853+0011 18:53:29.9 1.4e-02 +00:11:29.7 5.0e-01 * 0 * 0 * 0 52554.00 33.337 -0.371 0.397882 1.2e-11 3.35e-14 1.6e-18 * 0 * 0 52554.00 568.80 1.6e+00 * 0 * 0 0.30 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.81 * pksmb * -2020 J1853+0056 J1853+0056 18:53:32.6 1.6e-01 +00:56:59 4.0e+00 * 0 * 0 * 0 51665.00 34.017 -0.036 0.275578 6.0e-11 2.14e-14 4.0e-17 * 0 * 0 51665.00 180.90 1.2e+00 * 0 * 0 0.21 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * pksmb,palfa * - -2021 J1853+03 J1853+03 18:53 0 +03:00 0 * 0 * 0 * 0 56657.00 35.780 1.020 0.585530 0 * 0 * 0 * 0 56657.00 290.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.86 * palfa * -2022 J1853+0505 J1853+0505 18:53:04.3 7.0e-02 +05:05:26.1 1.8e+00 * 0 * 0 * 0 53982.00 37.650 1.956 0.905137 3.0e-11 1.28e-15 1.7e-19 * 0 * 0 53982.00 279.00 3.0e+00 * 0 * 0 1.10 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.14 * pksmb * -2023 J1853+0545 J1853+0545 18:53:58.4 1.0e-03 +05:45:55.2 3.0e-02 * 0 * 0 * 0 53882.00 38.354 2.064 0.126400 1.6e-13 6.12e-16 1.6e-21 -1.900e-25 5.0e-26 * 0 53882.00 198.70 5.0e-01 * 0 * 0 1.60 1.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.54 * pksmb,palfa * -2024 J1853-0649 J1853-0649 18:53:25.4 3.6e-02 -06:49:25.9 2.6e+00 * 0 * 0 * 0 55170.00 27.077 -3.545 1.048132 5.4e-11 1.55e-15 4.4e-17 * 0 * 0 55170.00 44.54 3.6e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.29 * gb350 * -2025 J1853+0853 J1853+0853 18:53:22.0 1.1e-01 +08:53:17 3.0e+00 * 0 * 0 * 0 53097.00 41.071 3.615 3.914658 5.0e-10 5.13e-15 7.0e-17 * 0 * 0 53097.00 214.00 5.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.63 * pksmb * - -2026 J1853+1303 J1853+1303 18:53:57.3 3.7e-06 +13:03:44.0 1.1e-04 * 0 * 0 0.400 3.0e-01 56553.00 44.875 5.367 0.004092 1.4e-17 8.72e-21 7.0e-25 * 0 * 0 56553.00 30.57 8.0e-05 * 0 * 0 0.40 2.0e-01 ELL1H * 0 115.6538 1.4e-08 40.7695 1.3e-07 346.67 0.0e+00 2.369e-05 0.0e+00 56479.8113 6.0e-08 -5.464e-06 6.0e-09 2.305e-05 6.0e-09 1.32 * pksmb * -2027 J1854+00 J1854+00 18:54 0 +00:00 0 * 0 * 0 * 0 56657.00 33.224 -0.570 0.767330 0 * 0 * 0 * 0 56657.00 532.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.96 * palfa * -2028 J1854+0306 J1854+0306 18:54:02.9 3.0e-02 +03:06:14 1.0e+00 * 0 * 0 * 0 54944.00 35.992 0.834 4.557820 1.0e-10 1.45e-13 6.0e-18 * 0 * 0 54944.00 192.40 5.2e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.49 * pksmb RRAT -2029 J1854+0317 J1854+0317 18:54:29.0 7.0e-02 +03:17:31 3.0e+00 * 0 * 0 * 0 54863.50 36.209 0.824 1.366450 2.0e-10 1.85e-15 1.6e-16 * 0 * 0 54863.50 404.00 8.0e+00 * 0 * 0 0.12 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * pksmb,palfa * -2030 J1854+0319 J1854+0319 18:54:00.1 1.2e-02 +03:19:12.8 5.0e-01 * 0 * 0 * 0 56700.00 36.179 0.944 0.628541 1.5e-11 5.51e-17 6.0e-19 * 0 * 0 56700.00 480.20 1.3e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.51 * palfa * - -2031 B1852+10 J1854+1050 18:54:29.3 8.3e-02 +10:46:42 2.2e+00 * 0 * 0 * 0 49692.00 42.887 4.223 0.573197 2.0e-11 6.39e-16 1.7e-19 7.700e-26 1.0e-26 * 0 49692.00 207.20 3.0e-01 * 0 11.00 0 1.03 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.83 * ar2,ar3,ar4,pksmb * -2032 B1851-14 J1854-1421 18:54:44.2 8.3e-03 -14:21:26.4 6.1e-01 * 0 * 0 * 0 49909.00 20.456 -7.209 1.146595 1.4e-11 4.16e-15 1.0e-19 -1.420e-26 1.8e-27 * 0 49909.00 130.40 3.0e-02 * 0 8.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * mol2,pks70,pkssw,htru_pks * -2033 J1854-1557 J1854-1557 18:54:53.6 1.4e+00 -15:57:22 2.0e+01 * 0 * 0 * 0 55124.00 19.024 -7.947 3.453200 1.0e-04 4.52e-15 4.0e-17 * 0 * 0 55124.00 160.00 2.5e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.94 * htru_pks RRAT -2034 J1855+0205 J1855+0205 18:55:42.0 5.0e-03 +02:05:36.4 2.0e-01 * 0 * 0 * 0 54510.00 35.281 0.007 0.246817 9.0e-13 6.47e-17 7.0e-20 * 0 * 0 54510.00 867.30 2.0e-01 * 0 * 0 0.19 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.04 * palfa * -2035 J1855+0306 J1855+0306 18:55:38.2 7.0e-02 +03:06:22 3.0e+00 * 0 * 0 * 0 56700.00 36.175 0.483 1.633565 1.8e-10 6.97e-15 8.0e-18 * 0 * 0 56700.00 634.00 6.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.46 * palfa * - -2036 J1855+0307 J1855+0307 18:55:26.6 3.0e-02 +03:07:20.2 9.0e-01 * 0 * 0 * 0 52632.00 36.167 0.533 0.845348 4.0e-11 1.81e-14 1.0e-17 * 0 * 0 52632.00 402.50 1.9e+00 * 0 * 0 0.97 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.93 * pksmb,palfa * -2037 J1855+0422 J1855+0422 18:55:41.3 1.1e-01 +04:22:47 4.0e+00 * 0 * 0 * 0 51446.00 37.314 1.052 1.678106 3.0e-10 9.29e-16 9.0e-17 * 0 * 0 51446.00 438.00 6.0e+00 * 0 * 0 0.45 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.97 * pksmb,palfa * -2038 J1855+0527 J1855+0527 18:55:15.0 1.8e-02 +05:27:40.7 9.0e-01 * 0 * 0 * 0 54248.10 38.227 1.642 1.393484 8.0e-11 2.67e-13 8.0e-18 * 0 * 0 54248.10 362.00 3.0e+00 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.70 * pksmb * -2039 J1855+0700 J1855+0700 18:55:17.7 4.0e-02 +07:00:37.1 9.0e-01 * 0 * 0 * 0 51991.00 39.613 2.337 0.258685 7.0e-12 7.52e-16 6.0e-19 * 0 * 0 51991.00 244.00 4.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.35 * pksmb * -2040 J1855-0941 J1855-0941 18:55:15.6 3.0e-02 -09:41:02 1.0e+00 * 0 * 0 * 0 51500.00 24.722 -5.241 0.345401 4.0e-11 2.40e-16 3.0e-18 * 0 * 0 51500.00 151.99 1.4e-01 * 0 * 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.11 * pkssw,pksmb,htru_pks * - -2041 J1856+0102 J1856+0102 18:56:28.5 1.3e-02 +01:02:10.6 5.0e-01 * 0 * 0 * 0 52568.00 34.428 -0.648 0.620217 2.0e-11 1.22e-15 3.0e-18 * 0 * 0 52568.00 554.00 3.0e+00 * 0 * 0 0.38 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.55 * pksmb,palfa * -2042 B1853+01 J1856+0113 18:56:10.6 3.8e-02 +01:13:21.3 1.4e+00 * 0 * 0 * 0 49780.00 34.560 -0.497 0.267440 7.0e-11 2.08e-13 6.0e-19 2.760e-23 3.0e-25 * 0 49780.00 96.74 1.2e-01 * 0 3.40 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 SNR:W44,XRS:PWN[pks02] misc,pksmb,palfa HE[lsg+15] -2043 J1856+0245 J1856+0245 18:56:50.9 3.0e-01 +02:45:47 9.0e+00 * 0 * 0 * 0 54930.00 36.008 0.057 0.080907 4.0e-11 6.21e-14 4.0e-18 * 0 * 0 54930.00 623.50 2.0e-01 * 0 * 0 0.58 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.32 GRS:HESS_J1857+026,XRS:AX_J185651+0245 palfa * -2044 J1856+0404 J1856+0404 18:56:26.6 3.0e-01 +04:04:26 5.0e+00 * 0 * 0 * 0 51664.00 37.128 0.745 0.420252 9.0e-11 3.71e-17 5.7e-17 * 0 * 0 51664.00 341.30 7.0e-01 * 0 * 0 0.48 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.23 * pksmb,palfa * -2045 J1856-0526 J1856-0526 18:56:21.9 1.5e-02 -05:26:56.8 8.0e-01 * 0 * 0 * 0 53095.00 28.636 -3.575 0.370483 7.0e-12 1.70e-15 9.0e-19 * 0 * 0 53095.00 130.50 4.0e-01 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * pksmb,htru_pks * - -2046 J1856-3754 J1856-3754 18:56:35.4 1.6e-01 -37:54:08 2.0e+00 326.800 4.0e-01 -60.300 3.0e-01 6.200 6.0e-01 50450.00 358.606 -17.212 7.055203 3.0e-08 2.98e-14 7.0e-16 * 0 * 0 53000.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 XRS:RX_J1856.5-3754,OPT:[kkvh11] misc XINS,NRAD -2047 B1854+00 J1857+0057 18:57:00.8 3.2e-02 +00:57:16.8 1.4e+00 * 0 * 0 * 0 49694.00 34.417 -0.805 0.356929 4.0e-12 5.46e-17 3.0e-20 -4.100e-27 4.1e-27 * 0 49694.00 82.39 1.1e-01 * 0 5.00 0 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.51 * misc,ar4,pksmb,palfa * -2048 J1857+0143 J1857+0143 18:57:33.0 1.5e-02 +01:43:47.0 9.0e-01 * 0 * 0 * 0 52632.00 35.168 -0.571 0.139760 4.0e-12 3.12e-14 1.2e-18 * 0 * 0 52632.00 249.00 3.0e+00 * 0 * 0 0.74 1.8e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * pksmb,palfa HE[lsg+15] -2049 J1857+0210 J1857+0210 18:57:40.9 4.0e-02 +02:10:58 3.0e+00 * 0 * 0 * 0 51721.00 35.586 -0.393 0.630983 6.0e-11 1.40e-14 2.0e-17 * 0 * 0 51721.00 783.00 1.1e+01 * 0 * 0 0.30 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.25 * pksmb,palfa * -2050 B1855+02 J1857+0212 18:57:43.6 2.9e-03 +02:12:41.1 1.1e-01 * 0 * 0 * 0 49554.00 35.617 -0.390 0.415823 7.0e-12 4.03e-14 6.0e-20 2.780e-25 5.0e-27 * 0 49554.00 506.77 1.8e-01 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * jb2,pksmb,palfa * - -2051 J1857+0300 J1857+0300 18:57:16.9 3.0e-02 +03:00:26.0 1.3e+00 * 0 * 0 * 0 56700.00 36.274 0.072 0.772678 4.0e-11 2.65e-15 1.6e-18 * 0 * 0 56700.00 691.00 4.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.66 * palfa * -2052 J1857+0526 J1857+0526 18:57:15.8 8.0e-03 +05:26:28.7 5.0e-01 * 0 * 0 * 0 51800.00 38.438 1.187 0.349951 4.0e-12 6.93e-15 8.0e-19 * 0 * 0 51800.00 466.40 1.2e+00 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.27 * pksmb,palfa * -2053 J1857+0809 J1857+0809 18:57:09.3 3.0e-02 +08:09:04.3 8.0e-01 * 0 * 0 * 0 51991.00 40.839 2.446 0.502924 1.3e-11 4.74e-15 8.0e-19 * 0 * 0 51991.00 282.00 3.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.17 * pksmb * -2054 B1855+09 J1857+0943 18:57:36.3 3.2e-06 +09:43:17.1 1.1e-04 * 0 * 0 0.610 1.8e-01 55367.00 42.290 3.060 0.005362 9.0e-17 1.78e-20 9.0e-25 * 0 * 0 55367.00 13.31 2.5e-03 0.002 2.0e-04 31.00 0 5.00 3.5e+00 ELL1 * 0 12.3272 1.8e-10 9.2308 3.0e-07 276.47 0.0e+00 2.164e-05 0.0e+00 55360.5132 1.9e-08 -2.150e-05 3.0e-08 2.440e-06 1.8e-08 1.20 * ar2,ar3,pksmb * -2055 J1857-1027 J1857-1027 18:57:26.4 5.0e-02 -10:27:01 2.0e+00 * 0 * 0 * 0 51650.00 24.275 -6.063 3.687219 3.0e-10 1.05e-14 6.0e-17 * 0 * 0 51650.00 108.90 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * pkssw,htru_pks * - -2056 J1858+02 J1858+02 18:58 0 +02:00 0 * 0 * 0 * 0 56657.00 35.460 -0.547 0.197650 0 * 0 * 0 * 0 56657.00 492.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * palfa * -2057 J1858+0215 J1858+0215 18:58:17.4 1.4e-01 +02:15:38 8.0e+00 * 0 * 0 * 0 51720.00 35.725 -0.493 0.745828 3.0e-10 4.61e-15 9.0e-17 * 0 * 0 51720.00 702.00 1.0e-01 * 0 * 0 0.22 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * pksmb,palfa * -2058 J1858+0241 J1858+0241 18:58:53.8 1.4e-01 +02:41:38 6.0e+00 * 0 * 0 * 0 52111.00 36.180 -0.430 4.693233 1.2e-09 2.43e-14 9.0e-17 * 0 * 0 52111.00 336.00 1.5e+01 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pksmb * -2059 J1858+0319 J1858+0319 18:58:40.8 3.0e-02 +03:19:21.5 1.0e+00 * 0 * 0 * 0 56700.00 36.714 -0.094 0.867444 4.0e-11 1.03e-16 1.5e-18 * 0 * 0 56700.00 284.00 3.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.78 * palfa * -2060 J1858+0346 J1858+0346 18:58:22.3 2.0e-02 +03:46:37.8 8.0e-01 * 0 * 0 * 0 54510.00 37.083 0.182 0.256844 5.0e-12 2.04e-15 4.0e-19 * 0 * 0 54510.00 386.00 1.0e+00 * 0 * 0 0.19 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * palfa * - -2061 J1858-0736 J1858-0736 18:58:44.3 7.0e-01 -07:37 7.0e+00 * 0 * 0 * 0 56108.50 26.964 -5.079 0.551059 2.0e-09 5.06e-15 7.0e-17 * 0 * 0 56108.50 194.00 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.15 * pksmb * -2062 J1858-2216 J1858-2216 18:58 0 -22:16 0 * 0 * 0 * 0 55561.00 13.566 -11.324 0.002380 0 * 0 * 0 * 0 55561.00 26.60 0 * 0 * 0 * 0 BT * 0 46.1000 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 GRS:2FGL_J1858.3-2218[naa+12] FermiAssoc * -2063 J1859+00 J1859+00 18:59:46 1.6e+01 +00:35 5.0e+00 * 0 * 0 * 0 49717.00 34.401 -1.587 0.559634 3.0e-06 * 0 * 0 * 0 49717.00 420.00 3.0e+00 * 0 * 0 4.80 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.70 * ar4,pksmb,palfa * -2064 J1859+0601 J1859+0601 18:59:45.7 5.0e-02 +06:01:46.1 1.8e+00 * 0 * 0 * 0 52503.00 39.245 0.903 1.044313 1.5e-10 2.55e-14 4.0e-17 * 0 * 0 52503.00 276.00 7.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.42 * pksmb,palfa * -2065 J1859+0603 J1859+0603 18:59:42.1 1.6e-02 +06:03:54.5 5.0e-01 * 0 * 0 * 0 56700.00 39.270 0.932 0.508561 1.7e-11 1.59e-15 1.0e-18 * 0 * 0 56700.00 378.60 2.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.99 * palfa * - -2066 J1859+1526 J1859+1526 18:59:44.3 7.0e-03 +15:26:11.0 2.0e-01 * 0 * 0 * 0 49079.50 47.637 5.181 0.933972 1.9e-11 3.93e-15 6.0e-19 * 0 * 0 49079.50 97.45 1.0e-02 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * ar3 * -2067 J1859+76 J1859+76 18:59 6.0e+00 +76:54 1.8e+01 * 0 * 0 * 0 56292.00 108.341 25.942 1.393617 8.7e-05 * 0 * 0 * 0 56292.00 47.00 2.0e+00 * 0 3.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.90 * gbncc * -2068 J1900-0051 J1900-0051 19:00:46.6 7.0e-03 -00:51:08.4 5.0e-01 * 0 * 0 * 0 51912.00 33.238 -2.467 0.385194 6.0e-12 1.42e-16 9.0e-19 * 0 * 0 51912.00 136.80 7.0e-01 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.23 * pksmb * -2069 J1900+0227 J1900+0227 19:00:38.6 4.0e-02 +02:27:32.0 2.0e+00 * 0 * 0 * 0 51721.00 36.170 -0.925 0.374262 3.0e-11 5.71e-15 1.2e-17 * 0 * 0 51721.00 201.10 1.7e+00 * 0 * 0 0.33 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.51 * pksmb,palfa * -2070 J1900+0308 J1900+0308 19:00:50.5 3.0e-04 +03:08:24.0 1.3e-02 * 0 * 0 * 0 55255.00 36.798 -0.658 0.004909 5.0e-15 5.90e-21 3.0e-22 * 0 * 0 55255.00 249.90 1.1e-02 * 0 * 0 0.10 0 ELL1 * 0 12.4760 1.0e-07 6.7164 4.0e-06 * 0 * 0 55304.4606 3.0e-06 0.000e+00 3.0e-06 0.000e+00 3.1e-06 4.80 * palfa * - -2071 J1900+0438 J1900+0438 19:00:13.3 3.0e-02 +04:38:46.8 1.1e+00 * 0 * 0 * 0 56700.00 38.067 0.169 0.312314 1.8e-11 3.23e-15 8.0e-19 * 0 * 0 56700.00 627.00 6.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.99 * palfa * -2072 J1900+0634 J1900+0634 19:00:28.0 2.0e-02 +06:34:20.9 6.0e-01 * 0 * 0 * 0 52554.00 39.808 0.995 0.389869 2.0e-11 5.13e-15 5.0e-18 * 0 * 0 52554.00 323.40 1.8e+00 * 0 * 0 0.24 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.61 * pksmb,ar4 * -2073 J1900-09 J1900-09 19:00:14 0 -09:28:07 0 * 0 * 0 * 0 55561.00 25.467 -6.240 1.424000 0 * 0 * 0 * 0 55561.00 150.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.98 * htru_pks * -2074 B1857-26 J1900-2600 19:00:47.5 4.0e-03 -26:00:43.8 5.0e-01 -19.900 3.0e-01 -47.300 9.0e-01 0.500 6.0e-01 48891.00 10.342 -13.451 0.612209 7.0e-13 2.05e-16 5.0e-21 -2.760e-27 1.4e-28 * 0 48891.00 37.99 5.0e-03 * 0 131.00 1.2e+01 13.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.70 * mol1,mol2,pks70,pkssw,htru_pks * -2075 J1900+30 J1900+30 19:00:18 1.6e+01 +30:53 5.0e+00 * 0 * 0 * 0 49717.00 61.757 11.802 0.602227 3.0e-06 * 0 * 0 * 0 49717.00 71.84 2.2e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.84 * ar4 * - -2076 B1851-79 J1900-7951 19:00:24.4 5.0e-01 -79:51:48.2 1.2e+00 * 0 * 0 * 0 43565.14 314.322 -27.065 1.279193 6.0e-10 1.86e-15 3.0e-17 * 0 * 0 43565.14 39.00 5.0e+00 * 0 6.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.37 * mol2 * -2077 J1901+00 J1901+00 19:01:32 1.6e+01 +00:26 5.0e+00 * 0 * 0 * 0 49717.00 34.469 -2.048 0.777662 3.0e-06 * 0 * 0 * 0 49717.00 345.50 1.1e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.42 * ar4,pksmb,palfa * -2078 J1901+0124 J1901+0124 19:01:52.5 1.4e-02 +01:24:49.3 8.0e-01 * 0 * 0 * 0 52632.00 35.381 -1.677 0.318817 1.1e-11 3.24e-15 4.0e-18 * 0 * 0 52632.00 314.40 1.3e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.60 * pksmb * -2079 B1859+01 J1901+0156 19:01:34.2 2.1e-03 +01:56:38.2 1.1e-01 * 0 * 0 * 0 49298.00 35.818 -1.367 0.288219 1.0e-12 2.36e-15 1.1e-20 -1.600e-26 4.0e-27 * 0 49298.00 105.39 7.0e-03 * 0 13.70 6.0e-01 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.23 * gb3,pksmb,palfa * -2080 J1901+0234 J1901+0234 19:01:26.9 3.0e-02 +02:34:51.4 1.0e+00 * 0 * 0 * 0 56700.00 36.370 -1.048 0.885240 4.0e-11 2.30e-14 4.0e-18 * 0 * 0 56700.00 404.00 3.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.53 * palfa * - -2081 J1901+0254 J1901+0254 19:01:15.6 7.0e-02 +02:54:41 5.0e+00 * 0 * 0 * 0 52626.00 36.643 -0.855 1.299693 3.0e-10 4.56e-16 1.1e-16 * 0 * 0 52626.00 185.00 5.0e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.30 * pksmb,palfa * -2082 J1901+0300 J1901+0300 19:01:59.6 1.0e-04 +03:00:23.3 5.0e-03 * 0 * 0 * 0 56242.00 36.811 -0.974 0.007797 4.0e-15 4.57e-20 1.3e-22 * 0 * 0 56242.00 253.89 2.0e-03 * 0 * 0 0.11 4.0e-03 ELL1 * 0 2.3992 6.0e-09 1.8426 1.0e-06 82.41 0.0e+00 3.027e-06 0.0e+00 55989.5556 1.0e-06 3.000e-06 2.0e-06 4.000e-07 1.0e-06 5.29 * palfa * -2083 J1901-0312 J1901-0312 19:01:15.6 1.8e-02 -03:12:29.5 9.0e-01 * 0 * 0 * 0 52608.00 31.192 -3.646 0.355725 1.4e-11 2.29e-15 6.0e-18 * 0 * 0 52608.00 106.40 1.1e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pksmb * -2084 J1901-0315 J1901-0315 19:01:16.3 8.0e-02 -03:15:14.3 2.0e+00 * 0 * 0 * 0 53283.00 31.152 -3.669 0.801693 1.1e-10 2.57e-15 4.0e-17 * 0 * 0 53283.00 242.60 1.6e+00 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.45 * pksmb * -2085 J1901+0320 J1901+0320 19:01:03.0 9.0e-02 +03:20:18 4.0e+00 * 0 * 0 * 0 52503.00 36.999 -0.613 0.636584 8.0e-11 5.23e-16 3.0e-17 * 0 * 0 52503.00 393.00 7.0e+00 * 0 * 0 0.89 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.88 * pksmb,palfa * - -2086 B1859+03 J1901+0331 19:01:31.7 2.0e-03 +03:31:05.9 7.0e-02 -7.000 1.5e+01 34.000 3.1e+01 * 0 54336.00 37.213 -0.637 0.655450 4.0e-11 7.46e-15 4.0e-19 3.240e-25 1.6e-26 * 0 50027.00 402.08 1.2e-02 * 0 165.00 1.0e+01 4.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * jb1,ar1,mol2,jb2,gb3,pksmb,palfa * -2087 J1901+0355 J1901+0355 19:01:30.8 4.0e-02 +03:55:58.9 9.0e-01 * 0 * 0 * 0 52352.00 37.580 -0.444 0.554756 3.0e-11 1.27e-14 1.0e-17 * 0 * 0 52352.00 547.00 3.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.67 * pksmb,palfa * -2088 J1901+0413 J1901+0413 19:01:10.3 1.0e-01 +04:13:51 6.0e+00 * 0 * 0 * 0 51706.00 37.806 -0.232 2.663080 8.0e-10 1.32e-13 3.0e-16 * 0 * 0 51706.00 352.00 3.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.34 * pksmb,palfa * -2089 J1901+0435 J1901+0435 19:01:32.2 3.0e-01 +04:35:23 1.0e+01 * 0 * 0 * 0 53041.00 38.167 -0.148 0.690576 3.0e-10 8.67e-15 3.0e-17 * 0 * 0 53041.00 1042.60 1.0e+00 * 0 * 0 4.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.32 * pksmb,palfa * -2090 J1901+0459 J1901+0459 19:01:17.4 4.0e-02 +04:59:06.8 1.2e+00 * 0 * 0 * 0 56700.00 38.490 0.087 0.877044 6.0e-11 1.57e-14 2.0e-18 * 0 * 0 56700.00 1108.00 4.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.07 * palfa * - -2091 J1901+0510 J1901+0510 19:01:57.8 1.1e-01 +05:10:34 4.0e+00 * 0 * 0 * 0 52618.00 38.737 0.025 0.614757 1.2e-10 3.11e-14 4.0e-17 * 0 * 0 52618.00 429.00 7.0e+00 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.92 * pksmb,palfa * -2092 J1901+0511 J1901+0511 19:01:42.9 5.0e-02 +05:11:00.2 1.5e+00 * 0 * 0 * 0 56700.00 38.715 0.084 4.600369 4.0e-10 2.53e-14 1.5e-17 * 0 * 0 56700.00 410.00 7.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * palfa * -2093 J1901+0621 J1901+0621 19:01:05.9 9.0e-02 +06:21:19 4.0e+00 * 0 * 0 * 0 52282.00 39.687 0.756 0.832002 5.0e-11 1.80e-17 3.0e-18 * 0 * 0 52282.00 94.00 7.0e+00 * 0 * 0 0.47 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.94 * palfa,pksmb * -2094 B1859+07 J1901+0716 19:01:38.9 1.3e-02 +07:16:34.8 3.9e-01 * 0 * 0 * 0 49863.00 40.569 1.056 0.643999 4.0e-11 2.29e-15 3.0e-19 3.560e-25 1.4e-26 * 0 49863.00 252.81 7.0e-02 * 0 3.90 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.40 * jb2,pksmb,palfa * -2095 J1901-0906 J1901-0906 19:01:53.0 4.1e-03 -09:06:10.8 3.2e-01 * 0 * 0 * 0 50873.00 25.979 -6.441 1.781928 5.0e-12 1.64e-15 5.0e-20 1.300e-27 5.0e-28 * 0 50873.00 72.68 1.8e-02 * 0 11.00 0 3.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.89 * pks70,pkssw,htru_pks * - -2096 J1901+1306 J1901+1306 19:01:48.7 2.0e-02 +13:06:48.3 7.0e-01 * 0 * 0 * 0 49079.50 45.786 3.683 1.830857 2.0e-10 1.31e-16 1.1e-17 * 0 * 0 49079.50 75.10 6.0e-03 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.50 * ar3 * -2097 J1901-1740 J1901-1740 19:01:18.0 6.0e-02 -17:40:00 6.0e+00 * 0 * 0 * 0 51500.00 18.138 -10.071 1.956858 1.6e-10 8.23e-16 1.6e-17 * 0 * 0 51500.00 24.40 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 * pkssw,htru_pks * -2098 J1902+02 J1902+02 19:02 0 +02:00 0 * 0 * 0 * 0 56657.00 35.917 -1.436 0.415320 0 * 0 * 0 * 0 56657.00 281.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.06 * palfa * -2099 J1902+0248 J1902+0248 19:02:50.2 7.0e-02 +02:48:56 3.0e+00 * 0 * 0 * 0 52554.00 36.738 -1.249 1.223777 1.7e-10 2.41e-15 3.0e-17 * 0 * 0 52554.00 272.00 1.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.99 * pksmb,palfa * -2100 J1902-0340 J1902-0340 19:02:50.7 1.9e-01 -03:40:18 4.0e+00 * 0 * 0 * 0 52724.00 30.958 -4.209 1.524672 4.0e-10 2.00e-15 1.7e-16 * 0 * 0 52724.00 114.00 6.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb * - -2101 B1900+05 J1902+0556 19:02:42.6 3.5e-03 +05:56:25.9 1.1e-01 * 0 * 0 * 0 49722.00 39.501 0.210 0.746577 1.7e-12 1.29e-14 1.2e-20 5.290e-26 4.0e-28 * 0 49722.00 177.49 1.3e-02 * 0 15.00 2.0e+00 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 * ar1,jb2,ar4,pksmb,palfa * -2102 B1900+06 J1902+0615 19:02:50.2 2.0e-03 +06:16:33.4 6.0e-02 * 0 * 0 * 0 53390.00 39.814 0.336 0.673503 1.0e-11 7.71e-15 5.0e-19 -2.150e-26 1.1e-27 * 0 54400.00 502.90 1.7e-02 * 0 22.00 4.0e+00 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * jb2,pksmb,palfa * -2103 J1902+0723 J1902+0723 19:02:13.5 9.0e-02 +07:23:51 4.0e+00 * 0 * 0 * 0 49079.50 40.742 0.984 0.487813 2.0e-10 2.10e-16 5.0e-18 * 0 * 0 49079.50 105.00 3.0e-01 * 0 0.60 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * ar3,pksmb * -2104 J1902-10 J1902-10 19:02:18 0 -10:39:33 0 * 0 * 0 * 0 55561.00 24.622 -7.226 0.786800 0 * 0 * 0 * 0 55561.00 91.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * htru_pks * -2105 J1902-5105 J1902-5105 19:02:02.8 9.0e-05 -51:05:56.9 8.0e-04 -4.800 1.3e+00 -4.400 1.6e+00 * 0 55520.00 345.650 -22.379 0.001742 1.6e-16 9.20e-21 1.3e-24 * 0 * 0 55520.00 36.25 1.0e-02 * 0 * 0 1.20 5.0e-01 ELL1 * 0 2.0118 9.0e-10 1.9020 7.0e-07 109.60 0.0e+00 5.864e-06 0.0e+00 55162.2816 1.0e-07 5.524e-06 7.0e-13 -1.967e-06 9.0e-13 1.65 GRS:3FGL_J1902.0-5107[aaa+15] FermiAssoc,ghrss HE - -2106 J1902-70 J1902-70 19:02 0 -70 0 * 0 * 0 * 0 55561.00 325.327 -26.264 0.003600 0 * 0 * 0 * 0 55561.00 19.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 GRS:2FGL_J1902.7-7053 FermiAssoc * -2107 B1900+01 J1903+0135 19:03:29.9 1.1e-03 +01:35:38.3 4.0e-02 3.000 7.0e+00 -13.000 1.4e+01 * 0 54379.00 35.727 -1.955 0.729306 1.6e-11 4.03e-15 3.0e-19 * 0 * 0 54379.00 245.17 6.0e-03 * 0 58.00 8.0e+00 5.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * jb1,mol2,pksmb,gb4,palfa * -2108 J1903-0258 J1903-0258 19:03:30.3 1.1e-02 -02:58:15.6 7.0e-01 * 0 * 0 * 0 53095.00 31.659 -4.038 0.301459 6.0e-12 6.79e-16 6.0e-19 * 0 * 0 53095.00 113.00 5.0e-01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * pksmb * -2109 J1903+0327 J1903+0327 19:03:05.7 1.0e-05 +03:27:19.2 6.0e-05 -2.060 7.0e-02 -5.210 1.2e-01 0.400 8.0e-01 55000.00 37.336 -1.014 0.002150 5.0e-17 1.88e-20 1.0e-24 6.100e-26 1.6e-26 * 0 55000.00 297.52 6.0e-04 -0.008 6.0e-04 * 0 1.30 4.0e-01 DD 55015.5816 4.0e-08 95.1741 1.4e-08 105.5935 5.0e-07 141.65 6.0e-07 4.367e-01 3.0e-09 * 0 * 0 * 0 1.86 OPT:[fbw+11] palfa * -2110 J1903+0415 J1903+0415 19:03 0 +04:15 0 * 0 * 0 * 0 56657.00 38.032 -0.628 1.151390 0 * 0 * 0 * 0 56657.00 473.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.87 * palfa * - -2111 J1903+0601 J1903+0601 19:03:20.8 1.6e-02 +06:01:34.0 6.0e-01 * 0 * 0 * 0 52146.00 39.650 0.109 0.374117 5.0e-12 1.92e-14 3.0e-19 * 0 * 0 52146.00 388.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.89 * pksmb,palfa * -2112 B1900-06 J1903-0632 19:03:37.9 2.6e-03 -06:32:21.9 1.4e-01 * 0 * 0 * 0 50023.00 28.479 -5.679 0.431887 6.0e-11 3.40e-15 3.0e-19 1.000e-25 4.0e-26 * 0 50023.00 195.61 1.0e-02 * 0 23.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.45 * jb1,mol2,pks70,pkssw,htru_pks * -2113 J1903+0654 J1903+0654 19:03:55.2 5.0e-02 +06:54:39.4 1.6e+00 * 0 * 0 * 0 56700.00 40.502 0.388 0.791232 7.0e-11 1.06e-14 4.0e-18 * 0 * 0 56700.00 329.00 7.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.93 * palfa * -2114 J1903-0848 J1903-0848 19:03:11.2 1.8e-02 -08:48:57.4 8.0e-01 * 0 * 0 * 0 54987.00 26.382 -6.601 0.887325 4.0e-11 1.33e-15 2.0e-18 * 0 * 0 54987.00 66.99 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * gb350 * -2115 J1903+0925 J1903+0925 19:03:55.1 2.0e-01 +09:25:55 6.0e+00 * 0 * 0 * 0 53396.00 42.743 1.543 0.357155 9.0e-11 3.69e-14 1.3e-17 * 0 * 0 53396.00 162.00 6.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.25 * pksmb * - -2116 J1903+2225 J1903+2225 19:03:52.9 2.0e-02 +22:25:12.3 3.0e-01 * 0 * 0 * 0 49079.50 54.363 7.427 0.651185 1.4e-10 4.45e-16 1.0e-17 * 0 * 0 49079.50 109.20 3.0e-02 * 0 0.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.76 * ar3 * -2117 J1903-7051 J1903-7051 19:03:38.7 3.0e-04 -70:51:43.4 2.0e-03 -8.800 1.6e+00 -16.000 2.0e+00 * 0 56526.00 324.391 -26.508 0.003598 1.1e-15 1.04e-20 6.0e-23 * 0 * 0 56526.00 19.66 1.0e-02 * 0 * 0 0.60 0 ELL1 * 0 11.0508 2.0e-08 9.9389 2.0e-06 86.65 0.0e+00 2.030e-06 0.0e+00 56027.2293 7.0e-07 2.026e-06 5.0e-13 1.186e-07 5.0e-14 0.93 GRS:3FGL_J1903.6-7052[aaa+15] FermiAssoc HE[ckr+15] -2118 J1904+0004 J1904+0004 19:04:12.7 1.5e-03 +00:04:05.2 4.0e-02 8.000 9.0e+00 -7.000 1.6e+01 * 0 54377.00 34.450 -2.811 0.139525 1.2e-12 1.18e-16 3.0e-20 * 0 * 0 54377.00 233.61 4.0e-02 * 0 16.00 0 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.36 * pks70,pksmb * -2119 J1904-0150 J1904-0150 19:04:55.5 1.0e-02 -01:50:32.5 5.0e-01 * 0 * 0 * 0 53107.00 32.828 -3.841 0.379387 6.0e-12 8.90e-16 8.0e-19 * 0 * 0 53107.00 162.20 5.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * pksmb * -2120 J1904+0412 J1904+0412 19:04:31.3 4.0e-03 +04:12:05.9 1.0e-01 * 0 * 0 * 0 51450.00 38.163 -0.988 0.071095 3.0e-13 1.10e-19 3.0e-20 * 0 * 0 51450.00 185.90 7.0e-01 * 0 * 0 0.23 5.0e-02 BT 51449.4500 2.5e-01 14.9343 2.0e-06 9.6348 1.0e-04 350.00 6.0e+00 2.200e-04 2.0e-05 * 0 * 0 * 0 4.58 * pksmb,palfa * - -2121 J1904+0451 J1904+0451 19:04:59.3 2.0e-04 +04:51:54.9 8.0e-03 * 0 * 0 * 0 56242.00 38.806 -0.787 0.006092 4.0e-15 5.72e-21 3.0e-22 * 0 * 0 56242.00 182.71 4.0e-03 * 0 * 0 0.12 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * palfa * -2122 J1904+0738 J1904+0738 19:04:07.5 1.0e-03 +07:38:51.6 4.0e-02 * 0 * 0 * 0 54760.00 41.180 0.680 0.208958 2.0e-13 4.11e-16 7.0e-21 * 0 * 0 54760.00 278.32 8.0e-02 * 0 * 0 0.23 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.15 * palfa * -2123 J1904+0800 J1904+0800 19:04:03.5 2.0e-02 +08:00:52.6 9.0e-01 * 0 * 0 * 0 51911.00 41.498 0.863 0.263345 9.0e-12 1.73e-14 3.0e-18 * 0 * 0 51911.00 438.80 1.3e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.95 * pksmb,palfa * -2124 B1901+10 J1904+1011 19:04:02.4 2.0e-02 +10:11:34.6 5.0e-01 * 0 * 0 * 0 51600.00 43.433 1.865 1.856570 7.0e-11 2.76e-16 8.0e-18 * 0 * 0 51600.00 135.00 2.0e+00 * 0 4.40 3.0e-01 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 * ar1,ar2,ar3,pksmb,palfa * -2125 J1904-1224 J1904-1224 19:04:33.2 1.3e-02 -12:24:01.3 1.1e+00 * 0 * 0 * 0 51037.00 23.291 -8.490 0.750808 3.0e-12 7.42e-16 3.0e-20 -3.000e-27 2.1e-27 * 0 51037.00 118.23 4.0e-02 * 0 6.00 0 0.29 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.27 * pks70,pkssw,htru_pks * - -2126 J1904-16 J1904-16 19:04:45 0 -16:24:47 0 * 0 * 0 * 0 55561.00 19.648 -10.277 1.541000 0 * 0 * 0 * 0 55561.00 150.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * htru_pks * -2127 B1902-01 J1905-0056 19:05:27.7 1.4e-03 -00:56:40.9 5.4e-02 * 0 * 0 * 0 49721.00 33.690 -3.551 0.643181 3.0e-12 3.05e-15 3.0e-20 -1.960e-26 9.0e-28 * 0 49721.00 229.13 5.0e-03 * 0 9.80 6.0e-01 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.64 * gb3,pks70,pksmb,htru_eff * -2128 J1905+0154A J1905+0154A 19:05:15.4 4.0e-01 +01:54:33 2.2e+01 * 0 * 0 * 0 53735.00 36.208 -2.201 0.003193 1.0e-11 * 0 * 0 * 0 53735.00 193.69 8.0e-03 * 0 * 0 0.02 0 ELL1 * 0 0.8126 2.0e-08 0.5886 2.0e-05 * 0 * 0 52493.8330 4.0e-05 * 0 * 0 14.45 GC:NGC6749 misc * -2129 J1905+0400 J1905+0400 19:05:28.2 1.6e-05 +04:00:10.8 6.0e-04 -3.800 1.8e-01 -7.300 4.0e-01 * 0 53700.00 38.095 -1.289 0.003784 3.0e-16 4.91e-21 1.5e-24 * 0 * 0 53700.00 25.69 1.2e-03 -0.001 7.0e-04 * 0 0.05 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * pksmb * -2130 J1905+0600 J1905+0600 19:05:04.3 5.0e-02 +06:00:59.9 1.4e+00 * 0 * 0 * 0 52048.00 39.838 -0.277 0.441210 1.8e-11 1.11e-15 1.0e-18 * 0 * 0 52048.00 730.10 1.9e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.81 * pksmb,palfa * - -2131 J1905+0616 J1905+0616 19:05:06.8 5.0e-03 +06:16:16.7 1.0e-01 * 0 * 0 * 0 51631.00 40.069 -0.169 0.989706 7.0e-12 1.35e-13 1.0e-18 * 0 * 0 51631.00 256.05 1.0e-02 * 0 0.50 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.95 * ar4,pksmb,palfa * -2132 B1903+07 J1905+0709 19:05:53.6 2.2e-02 +07:09:19.4 6.1e-01 * 0 * 0 * 0 49466.00 40.944 0.065 0.648040 7.0e-11 4.94e-15 6.0e-19 6.700e-25 3.0e-26 * 0 49466.00 245.34 1.0e-01 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * jb2,pksmb,palfa * -2133 J1905+0902 J1905+0902 19:05:19.5 2.0e-03 +09:02:32.4 8.0e-02 * 0 * 0 * 0 54570.00 42.555 1.056 0.218253 9.0e-13 3.50e-15 8.0e-20 * 0 * 0 54570.00 433.40 1.0e-01 * 0 * 0 0.10 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.56 * palfa * -2134 J1906+0055 J1906+0055 19:06:48.6 4.0e-05 +00:55:07.8 1.0e-03 * 0 * 0 * 0 56408.00 35.505 -3.000 0.002790 2.0e-16 3.32e-21 1.0e-23 * 0 * 0 56408.00 126.83 9.0e-04 * 0 * 0 0.10 0 ELL1 * 0 0.6096 3.0e-10 0.6250 9.0e-07 315.00 0.0e+00 1.414e-06 0.0e+00 56407.5586 1.0e-07 -1.000e-06 3.0e-07 1.000e-06 2.0e-06 4.48 * palfa * -2135 J1906+0414 J1906+0414 19:06:57.7 7.0e-03 +04:14:29.4 1.3e-01 * 0 * 0 * 0 53677.00 38.478 -1.510 1.043362 9.0e-12 1.15e-14 9.0e-18 * 0 * 0 53677.00 349.00 9.0e+00 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.07 * pksmb * - -2136 J1906+0509 J1906+0509 19:06:56.4 1.6e-02 +05:09:35.6 6.0e-01 * 0 * 0 * 0 56406.00 39.291 -1.083 0.397590 5.0e-12 5.22e-15 4.0e-19 * 0 * 0 56406.00 99.50 1.9e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.09 * palfa * -2137 B1904+06 J1906+0641 19:06:35.2 2.7e-03 +06:41:02.9 1.1e-01 * 0 * 0 * 0 49613.00 40.604 -0.304 0.267275 5.0e-13 2.14e-15 4.0e-21 -6.800e-27 8.0e-28 * 0 49613.00 472.80 3.0e-01 * 0 2.80 6.0e-01 1.70 1.8e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * jb2,pksmb,ar4,palfa * -2138 J1906+0649 J1906+0649 19:06:11.9 3.0e-02 +06:49:48.1 1.0e+00 * 0 * 0 * 0 52317.00 40.690 -0.152 1.286564 1.0e-10 1.52e-16 5.0e-18 * 0 * 0 52317.00 249.00 4.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.97 * pksmb * -2139 J1906+0722 J1906+0722 19:06:31.2 1.0e-02 +07:22:55.8 4.0e-01 * 0 * 0 * 0 55716.00 41.216 0.031 0.111524 1.3e-12 3.59e-14 3.0e-20 3.180e-23 1.0e-25 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1906.5+0720[naa+12] FermiBlind NRAD -2140 J1906+0725 J1906+0725 19:06 0 +07:25 0 * 0 * 0 * 0 56657.00 41.188 0.162 1.536510 0 * 0 * 0 * 0 56657.00 480.40 0 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.07 * palfa * - -2141 J1906+0746 J1906+0746 19:06:48.8 4.0e-02 +07:46:25.9 7.0e-01 * 0 * 0 * 0 54289.00 41.598 0.147 0.144073 5.0e-11 2.03e-14 1.9e-18 5.000e-23 7.0e-24 -1.800e-30 3.0e-31 54289.00 217.75 4.0e-04 * 0 0.90 2.0e-01 0.55 1.5e-01 DD 54288.9299 2.0e-07 0.1660 1.1e-10 1.4200 1.8e-06 76.33 6.0e-04 8.530e-02 6.0e-07 * 0 * 0 * 0 7.40 * palfa * -2142 J1906+0912 J1906+0912 19:06:28.4 3.0e-02 +09:12:56.6 1.5e+00 * 0 * 0 * 0 51360.00 42.840 0.884 0.775345 5.0e-11 1.32e-16 1.9e-17 * 0 * 0 51360.00 265.00 5.0e+00 * 0 * 0 0.32 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.39 * pksmb,palfa * -2143 J1906+1854 J1906+1854 19:06:44.7 2.0e-02 +18:54:08.5 4.0e-01 * 0 * 0 * 0 49079.50 51.501 5.251 1.019093 8.0e-11 2.05e-16 1.9e-18 * 0 * 0 49079.50 156.77 3.0e-03 * 0 4.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.72 * ar3,ar4 * -2144 J1907+0249 J1907+0249 19:07:42.0 4.0e-02 +02:49:41 3.0e+00 * 0 * 0 * 0 52554.00 37.306 -2.323 0.351879 2.0e-11 1.14e-15 4.0e-18 * 0 * 0 52554.00 261.00 6.0e+00 * 0 * 0 0.46 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.75 * pksmb,palfa * -2145 J1907+0255 J1907+0255 19:07:17.9 4.0e-02 +02:55:02.7 1.0e+00 * 0 * 0 * 0 56700.00 37.339 -2.192 0.618761 3.0e-11 2.23e-16 9.0e-19 * 0 * 0 56700.00 257.00 4.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.98 * palfa * - -2146 J1907+0345 J1907+0345 19:07:14.5 1.9e-02 +03:45:10.6 4.0e-01 * 0 * 0 * 0 51999.00 38.075 -1.796 0.240153 5.0e-12 8.22e-15 3.0e-18 * 0 * 0 51999.00 311.70 9.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.49 * pksmb,palfa * -2147 J1907+05 J1907+05 19:07 0 +05:00 0 * 0 * 0 * 0 56657.00 39.156 -1.170 0.168680 0 * 0 * 0 * 0 56657.00 456.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.85 * palfa * -2148 J1907+0534 J1907+0534 19:07:23.3 2.0e-01 +05:34:53 1.4e+01 * 0 * 0 * 0 51719.00 39.717 -0.988 1.138403 6.0e-10 3.15e-15 1.2e-16 * 0 * 0 51719.00 524.00 4.0e+00 * 0 * 0 0.36 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.84 * pksmb,palfa * -2149 J1907+0602 J1907+0602 19:07:54.7 1.0e-02 +06:02:16.9 3.0e-01 * 0 * 0 * 0 54935.00 40.182 -0.894 0.106633 5.0e-12 8.68e-14 3.0e-19 1.880e-22 7.0e-24 * 0 54935.00 82.10 1.1e+00 * 0 * 0 0.00 4.0e-04 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.37 GRS:2FGL_J1907.9+0602[naa+12],SNR:G40.5- FermiBlind HE -2150 J1907+0631 J1907+0631 19:07:03.8 1.7e-02 +06:31:18.9 6.0e-01 * 0 * 0 * 0 56985.00 40.515 -0.484 0.323648 1.9e-11 4.52e-13 1.2e-18 * 0 * 0 56985.00 428.60 1.8e+00 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.40 SNR:G40.5-0.5[lsb+17] palfa * - -2151 J1907+0731 J1907+0731 19:07:54.7 3.0e-02 +07:31:21.9 5.0e-01 * 0 * 0 * 0 52352.00 41.500 -0.211 0.363676 1.2e-11 1.84e-14 4.0e-18 * 0 * 0 52352.00 239.80 1.3e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pksmb,palfa * -2152 J1907+0740 J1907+0740 19:07:44.1 1.3e-02 +07:40:22.6 9.0e-01 * 0 * 0 * 0 51354.00 41.613 -0.102 0.574698 1.7e-11 6.71e-16 7.0e-18 * 0 * 0 51354.00 332.00 3.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.81 * pksmb,palfa * -2153 J1907+0859 J1907+0859 19:07:01.9 1.0e-02 +08:59:43.8 4.0e-01 * 0 * 0 * 0 56700.00 42.707 0.661 1.527042 3.0e-11 5.54e-15 1.2e-18 * 0 * 0 56700.00 190.00 3.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * palfa * -2154 J1907+0918 J1907+0918 19:07:22.4 4.0e-03 +09:18:30.7 4.0e-02 * 0 * 0 * 0 51319.00 43.024 0.730 0.226107 6.0e-13 9.43e-14 4.0e-19 * 0 * 0 51319.00 357.90 1.0e-01 * 0 0.40 2.0e-01 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.22 * misc,pksmb,palfa * -2155 J1907+0919 J1907+0919 19:07:14.3 1.0e-02 +09:19:20.1 2.0e-01 0.600 2.0e-01 4.200 4.0e-01 * 0 51052.00 43.021 0.766 5.198346 3.0e-06 9.20e-11 4.0e-12 * 0 * 0 53633.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SNR:G42.8+0.6(?),SGR_1900+14 misc AXP,NRAD - -2156 J1907+1149 J1907+1149 19:07:37.7 6.0e-02 +11:49:37.1 1.7e+00 * 0 * 0 * 0 53445.00 45.290 1.832 1.420160 1.7e-10 1.60e-13 3.0e-17 * 0 * 0 53445.00 202.80 1.5e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.55 * pksmb,palfa * -2157 B1904+12 J1907+1247 19:07:10.7 2.0e-02 +12:47:35.9 5.0e-01 * 0 * 0 * 0 51600.00 46.099 2.373 0.827097 3.0e-11 1.95e-15 4.0e-18 * 0 * 0 51600.00 257.00 1.0e+00 * 0 0.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.52 * ar1 * -2158 J1907-1532 J1907-1532 19:07:06.7 1.0e-02 -15:32:14.9 8.0e-01 * 0 * 0 * 0 55424.00 20.700 -10.413 0.632235 4.0e-11 3.08e-15 2.0e-18 * 0 * 0 55424.00 72.60 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.47 * htru_pks * -2159 B1905+39 J1907+4002 19:07:34.6 8.0e-03 +40:02:05.7 1.1e-01 11.000 4.0e+00 11.000 1.0e+00 * 0 48713.00 70.948 14.203 1.235757 3.0e-12 5.41e-16 2.0e-20 -2.900e-28 1.9e-28 * 0 48713.00 30.97 1.4e-02 * 0 23.00 3.0e+00 1.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * gb1,gb2,gb4 * -2160 J1908+0457 J1908+0457 19:08:16.1 1.0e-01 +04:57:41 2.0e+00 * 0 * 0 * 0 49079.50 39.267 -1.468 0.846793 4.0e-10 9.80e-16 3.0e-17 * 0 * 0 49079.50 360.00 5.0e+00 * 0 * 0 0.93 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.29 * misc,pksmb,palfa * - -2161 J1908+0500 J1908+0500 19:08:05.1 1.0e-02 +05:00:54.4 1.6e-01 * 0 * 0 * 0 49079.50 39.293 -1.403 0.291021 3.0e-11 2.59e-15 1.8e-18 * 0 * 0 49079.50 201.42 2.0e-02 * 0 6.10 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.84 * ar3,pksmb,palfa * -2162 J1908+0734 J1908+0734 19:08:17.0 3.0e-03 +07:34:14.3 1.1e-01 * 0 * 0 * 0 49079.50 41.585 -0.270 0.212353 2.0e-12 8.25e-16 6.0e-20 * 0 * 0 49079.50 11.10 1.1e-02 * 0 3.50 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.67 * ar3,pksmb,palfa * -2163 J1908+0833 J1908+0833 19:08:20.9 1.6e-02 +08:33:31.5 5.0e-01 * 0 * 0 * 0 56700.00 42.469 0.171 0.512111 1.2e-11 1.99e-15 7.0e-19 * 0 * 0 56700.00 700.10 2.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.32 * palfa * -2164 J1908+0839 J1908+0839 19:08:18.5 4.0e-02 +08:39:59.2 1.2e+00 * 0 * 0 * 0 51550.00 42.560 0.229 0.185397 1.4e-11 2.39e-15 1.4e-18 * 0 * 0 51550.00 512.10 2.4e+00 * 0 * 0 0.49 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.27 * pksmb,palfa * -2165 J1908+0909 J1908+0909 19:08:07.4 1.3e-02 +09:09:12.4 5.0e-01 * 0 * 0 * 0 51525.00 42.972 0.494 0.336555 1.6e-11 3.49e-14 7.0e-19 1.200e-24 9.0e-25 * 0 51525.00 467.50 1.5e+00 * 0 * 0 0.22 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.87 * pksmb,palfa * - -2166 B1906+09 J1908+0916 19:08:58.7 6.0e-02 +09:16:14 1.0e+00 * 0 * 0 * 0 42832.50 43.173 0.361 0.830270 6.0e-11 9.80e-17 1.4e-17 * 0 * 0 42832.50 249.80 5.0e-01 * 0 5.00 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.56 * ar1,pksmb,palfa * -2167 J1908+2351 J1908+2351 19:08:31.9 7.0e-02 +23:51:41.9 8.0e-01 * 0 * 0 * 0 51561.00 56.144 7.112 0.377578 1.0e-09 1.70e-17 1.0e-18 * 0 * 0 51561.00 101.69 1.5e-02 * 0 0.90 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * ar4 * -2168 B1907+00 J1909+0007 19:09:35.2 2.0e-03 +00:07:57.7 1.1e-01 * 0 * 0 * 0 48740.00 35.123 -3.977 1.016948 4.0e-11 5.52e-15 1.9e-19 1.700e-28 3.0e-27 * 0 48740.00 112.79 6.0e-03 * 0 12.00 7.0e-01 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * misc,mol2,gb2,ar2,pks70,ar4,pksmb,g * -2169 B1907+02 J1909+0254 19:09:38.3 2.8e-03 +02:54:50.6 1.1e-01 * 0 * 0 * 0 49695.00 37.605 -2.713 0.989831 5.0e-12 5.53e-15 5.0e-20 7.410e-26 9.0e-28 * 0 49695.00 171.73 9.0e-03 * 0 21.00 1.0e+00 0.63 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * jb1,mol2,pksmb,gb4,palfa * -2170 J1909+0616 J1909+0616 19:09:51.2 4.0e-02 +06:16:51.8 2.0e+00 * 0 * 0 * 0 51720.00 40.620 -1.210 0.755993 1.8e-10 2.06e-14 8.0e-17 * 0 * 0 51720.00 352.00 4.0e+00 * 0 * 0 0.33 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.56 * pksmb,ar4,palfa * - -2171 J1909+0641 J1909+0641 19:09:29.0 4.0e-03 +06:41:25.8 2.0e-01 * 0 * 0 * 0 54870.00 40.941 -0.940 0.741762 6.0e-12 3.22e-15 7.0e-19 * 0 * 0 54870.00 36.70 2.0e-01 * 0 * 0 0.11 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * palfa RRAT -2172 J1909+0749 J1909+0749 19:09:08.2 2.0e-01 +07:49:32 5.0e+00 * 0 * 0 * 0 54870.00 41.909 -0.340 0.237161 9.0e-11 1.52e-13 9.0e-18 * 0 * 0 54870.00 539.36 5.0e-02 * 0 * 0 0.23 7.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.29 * palfa * -2173 J1909+0912 J1909+0912 19:09:19.9 5.0e-02 +09:12:53.7 1.7e+00 * 0 * 0 * 0 51496.00 43.164 0.258 0.222949 1.5e-11 3.58e-14 5.0e-18 * 0 * 0 51496.00 421.50 1.7e+00 * 0 * 0 0.35 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.61 * pksmb,palfa * -2174 B1907+10 J1909+1102 19:09:48.6 1.0e-03 +11:02:03.3 2.5e-02 * 0 * 0 * 0 49912.00 44.832 0.992 0.283641 9.0e-13 2.64e-15 3.0e-20 -2.020e-24 4.0e-26 * 0 54200.00 149.98 4.0e-03 * 0 50.00 3.0e+00 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * jb1,ar1,mol2,jb2,gb3,ar3,ar4,pksmb, * -2175 J1909+1148 J1909+1148 19:09:31.3 3.0e-03 +11:48:59.8 8.0e-02 * 0 * 0 * 0 56700.00 45.494 1.416 0.448945 3.0e-12 7.25e-17 8.0e-20 * 0 * 0 56700.00 199.80 5.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.13 * palfa * - -2176 J1909+1450 J1909+1450 19:09:26.9 8.0e-02 +14:50:58 2.0e+00 * 0 * 0 * 0 49079.50 48.181 2.827 0.996108 4.0e-10 2.19e-16 1.5e-17 * 0 * 0 49079.50 119.50 2.0e-01 * 0 1.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * ar3 * -2177 J1909+1859 J1909+1859 19:09:18.6 8.0e-03 +18:59:10.7 1.1e-01 * 0 * 0 * 0 49079.50 51.852 4.749 0.542451 4.0e-11 9.70e-17 3.0e-18 * 0 * 0 49079.50 64.52 2.6e-02 * 0 5.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.45 * ar3,ar4 * -2178 J1909+21 J1909+21 19:09:32 6.4e+01 +21:03 1.5e+01 * 0 * 0 * 0 57022.00 53.722 5.639 0.002560 0 * 0 * 0 * 0 57022.00 62.00 0 * 0 * 0 * 0 BT * 0 0.1500 0 0.1200 0 * 0 * 0 * 0 * 0 * 0 2.59 GRS:P7R4_J1909+2102(?)[cck+16] FermiAssoc * -2179 J1909-3744 J1909-3744 19:09:47.4 1.1e-06 -37:44:14.4 5.0e-05 -9.517 5.0e-03 -35.797 1.7e-02 0.810 3.0e-02 54500.00 359.731 -19.596 0.002947 3.0e-18 1.40e-20 5.0e-26 * 0 * 0 54500.00 10.39 0 -0.000 6.0e-06 * 0 2.10 1.7e+00 T2 53631.3900 4.0e-02 1.5334 1.3e-11 1.8980 4.0e-08 156.00 8.0e+00 1.140e-07 1.0e-08 * 0 * 0 * 0 1.14 * pkssw * -2180 J1910-0112 J1910-0112 19:10:15.7 4.0e-01 -01:12:06 1.4e+01 * 0 * 0 * 0 53174.00 34.009 -4.736 1.360603 8.0e-10 1.78e-16 6.0e-17 * 0 * 0 53174.00 178.00 2.6e+01 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.12 * pksmb * - -2181 J1910+0225 J1910+0225 19:10:10.3 1.7e-02 +02:25:23.6 5.0e-01 * 0 * 0 * 0 52586.00 37.229 -3.057 0.337855 1.1e-11 2.62e-16 1.4e-18 * 0 * 0 52586.00 209.00 3.0e+00 * 0 * 0 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * pksmb * -2182 B1907-03 J1910-0309 19:10:29.6 7.2e-03 -03:09:54.1 2.9e-01 * 0 * 0 * 0 49985.00 32.280 -5.680 0.504605 1.3e-11 2.19e-15 8.0e-20 -1.300e-25 8.0e-27 * 0 49985.00 205.53 3.0e-02 * 0 27.00 3.0e+00 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.44 * mol2,gb3,pks70,pksmb,pkssw * -2183 B1907+03 J1910+0358 19:10:09.0 2.7e-02 +03:58:28.0 1.1e+00 * 0 * 0 * 0 50026.00 38.606 -2.339 2.330263 7.0e-11 4.47e-15 5.0e-19 1.400e-26 3.0e-27 * 0 50026.00 82.93 1.0e-01 * 0 21.00 6.0e+00 1.50 1.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.86 * misc,mol2,pksmb * -2184 J1910+0517 J1910+0517 19:10:37.9 1.4e-02 +5:17:56.1 5.0e-01 * 0 * 0 * 0 56700.00 39.838 -1.835 0.308048 1.2e-11 7.30e-16 8.0e-19 7.500e-24 6.0e-25 -1.800e-31 3.0e-32 56700.00 300.00 2.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.00 * palfa * -2185 J1910+0534 J1910+0534 19:10:26.5 9.0e-02 +05:34:09 4.0e+00 * 0 * 0 * 0 51709.00 40.056 -1.668 0.452867 9.0e-11 1.92e-15 4.0e-17 * 0 * 0 51709.00 484.00 3.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.29 * pksmb,palfa * - -2186 J1910+0714 J1910+0714 19:10:18.5 1.6e-02 +07:14:11.8 5.0e-01 * 0 * 0 * 0 49079.50 41.520 -0.870 2.712423 3.0e-10 6.12e-15 1.5e-17 * 0 * 0 49079.50 124.06 5.0e-02 * 0 5.40 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * ar3,pksmb,palfa * -2187 J1910+0728 J1910+0728 19:10:22.0 6.0e-03 +07:28:37.0 1.5e-01 * 0 * 0 * 0 52187.00 41.740 -0.772 0.325415 3.0e-12 8.31e-15 3.0e-19 * 0 * 0 52187.00 283.70 4.0e-01 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.23 * pksmb,palfa * -2188 J1910+1027 J1910+1027 19:10 0 +10:27 0 * 0 * 0 * 0 56657.00 44.335 0.682 0.531470 0 * 0 * 0 * 0 56657.00 705.70 0 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.74 * palfa * -2189 B1907+12 J1910+1231 19:10:13.5 3.7e-02 +12:31:40.2 1.4e+00 * 0 * 0 * 0 48741.00 46.205 1.591 1.441742 1.5e-11 8.23e-15 7.0e-20 1.400e-27 5.0e-28 * 0 48741.00 258.64 1.2e-01 * 0 5.00 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.14 * ar1,ar3,pksmb,palfa * -2190 J1910+1256 J1910+1256 19:10:09.7 6.2e-06 +12:56:25.4 1.4e-04 * 0 * 0 * 0 56131.00 46.564 1.795 0.004984 2.0e-17 9.68e-21 5.0e-25 * 0 * 0 56131.00 30.07 5.0e-04 * 0 * 0 0.50 1.0e-01 DD 56125.6531 9.0e-04 58.4667 8.0e-09 21.1291 3.0e-07 106.01 6.0e-03 2.302e-04 1.8e-08 * 0 * 0 * 0 1.32 * pksmb,palfa * - -2191 J1910-5959A J1910-5959A 19:11:42.7 3.0e-05 -59:58:26.9 3.0e-04 -3.080 6.0e-02 -3.970 6.0e-02 * 0 51920.00 336.525 -25.730 0.003266 9.0e-17 2.95e-21 1.4e-25 * 0 * 0 51920.00 33.70 1.6e-03 0.001 3.6e-04 * 0 0.21 0 DD 51919.2065 5.5e-08 0.8371 3.0e-11 1.2060 7.0e-07 * 0 * 0 * 0 * 0 * 0 4.55 GC:NGC6752,XRS:[fhc+14] pksgc * -2192 J1910-5959B J1910-5959B 19:10:52.0 5.0e-04 -59:59:00.8 6.0e-03 * 0 * 0 * 0 52000.00 336.494 -25.628 0.008358 2.0e-15 -7.90e-19 5.0e-23 * 0 * 0 52000.00 33.28 4.0e-02 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[bgh+06,fhc+14] pksgc * -2193 J1910-5959C J1910-5959C 19:11:05.5 4.0e-04 -60:00:59.7 4.0e-03 -4.100 1.7e+00 -4.600 2.5e+00 * 0 51910.00 336.464 -25.662 0.005277 1.5e-15 2.16e-21 2.0e-23 * 0 * 0 51910.00 33.21 4.0e-02 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[bgh+06,fhc+14] pksgc * -2194 J1910-5959D J1910-5959D 19:10:52.4 5.0e-04 -59:59:05.4 5.0e-03 * 0 * 0 * 0 51910.00 336.493 -25.629 0.009035 4.0e-15 9.64e-19 6.0e-23 * 0 * 0 51910.00 33.28 2.0e-02 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[bgh+06,fhc+14] pksgc * -2195 J1910-5959E J1910-5959E 19:10:52.1 6.0e-04 -59:59:02.0 7.0e-03 * 0 * 0 * 0 51910.00 336.494 -25.628 0.004572 2.0e-15 -4.34e-19 3.0e-23 * 0 * 0 51910.00 33.31 3.0e-02 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[fhc+14] pksgc * - -2196 J1911+00 J1911+00 19:11:48 2.9e+01 +00:37 7.0e+00 * 0 * 0 * 0 52318.00 35.808 -4.247 6.940000 1.0e-02 * 0 * 0 * 0 52318.00 100.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb RRAT -2197 B1908+00A J1911+0101A 19:11:11.0 4.0e-05 +01:02:09.7 2.0e-03 * 0 * 0 * 0 53000.00 36.111 -3.918 0.003619 2.0e-15 -6.58e-21 2.0e-23 * 0 * 0 53000.00 202.68 3.0e-03 * 0 * 0 * 0 ELL1 * 0 0.1410 6.0e-10 0.0377 2.0e-06 * 0 0.000e+00 1.3e-04 53000.0518 8.0e-07 * 0 * 0 9.50 GC:NGC6760,OPT:[bvvh03] misc * -2198 J1911+0101B J1911+0101B 19:11:12.5 4.0e-04 +01:01:50.4 2.0e-02 * 0 * 0 * 0 53000.00 36.109 -3.926 0.005384 9.0e-15 -2.00e-21 3.0e-22 * 0 * 0 53000.00 196.69 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.50 GC:NGC6760 misc * -2199 J1911+09 J1911+09 19:11 0 +09:00 0 * 0 * 0 * 0 56657.00 43.163 -0.207 0.273710 0 * 0 * 0 * 0 56657.00 334.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.24 * palfa * -2200 J1911+10 J1911+10 19:11 0 +10:00 0 * 0 * 0 * 0 56657.00 44.050 0.256 0.190890 0 * 0 * 0 * 0 56657.00 446.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.09 * palfa * - -2201 J1911-1114 J1911-1114 19:11:49.2 3.0e-05 -11:14:22.4 3.0e-03 -13.750 1.6e-01 -9.100 1.0e+00 * 0 55000.00 25.137 -9.579 0.003626 5.0e-15 1.39e-20 4.0e-23 * 0 * 0 55000.00 31.02 1.1e-01 -0.020 2.0e-02 31.00 9.0e+00 0.50 2.0e-01 DD * 0 2.7166 7.0e-10 1.7629 9.0e-07 120.96 0.0e+00 1.633e-06 0.0e+00 50455.6118 1.3e-06 1.400e-06 1.1e-06 -8.400e-07 9.1e-07 1.07 XRS:[pb15] pks70 * -2202 J1911+1347 J1911+1347 19:11:55.2 2.4e-06 +13:47:34.3 5.4e-05 * 0 * 0 0.420 1.7e-01 56936.00 47.518 1.809 0.004626 1.3e-17 1.69e-20 1.3e-24 * 0 * 0 56936.00 30.99 9.0e-04 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * pksmb * -2203 J1911+1758 J1911+1758 19:11:55.3 6.0e-03 +17:58:45.7 1.1e-01 * 0 * 0 * 0 49079.50 51.238 3.738 0.460406 1.4e-10 1.31e-17 5.0e-19 * 0 * 0 49079.50 48.98 1.6e-01 * 0 1.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.96 * ar3 * -2204 B1910+10 J1912+1036 19:12:46.3 1.0e-02 +10:36:41.6 3.0e-01 * 0 * 0 * 0 51600.00 44.794 0.152 0.409349 6.0e-12 1.58e-14 8.0e-19 * 0 * 0 51600.00 147.00 5.0e-01 * 0 1.60 1.0e-01 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * ar1,pksmb,palfa * -2205 B1910+20 J1912+2104 19:12:43.3 1.1e-02 +21:04:33.8 2.1e-01 * 0 * 0 * 0 48740.00 54.086 4.989 2.232969 8.0e-12 1.02e-14 4.0e-20 -2.670e-27 1.2e-28 * 0 48740.00 88.60 6.2e-03 * 0 6.00 1.0e+00 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 * jb1,ar3 * - -2206 J1912+2525 J1912+2525 19:12:18.6 1.0e-02 +25:25:02.1 1.1e-01 * 0 * 0 * 0 49079.50 57.933 7.042 0.621976 6.0e-11 2.25e-16 4.0e-18 * 0 * 0 49079.50 37.85 1.6e-03 * 0 1.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * ar3 * -2207 B1911-04 J1913-0440 19:13:54.1 1.6e-03 -04:40:47.6 7.0e-02 7.000 1.3e+01 -5.000 9.0e+00 * 0 46634.00 31.307 -7.124 0.825936 9.0e-12 4.07e-15 3.0e-20 1.610e-26 5.0e-28 * 0 46634.00 89.39 1.0e-02 * 0 118.00 9.0e+00 4.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * mol1,jb1,mol2,gb2,pks70,pkssw * -2208 J1913+0446 J1913+0446 19:13:50.8 4.0e-02 +04:46:06 2.0e+00 * 0 * 0 * 0 51832.34 39.736 -2.790 1.616130 1.6e-10 2.79e-13 1.6e-17 * 0 * 0 51832.34 109.10 1.7e+00 * 0 * 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pksmb * -2209 J1913+0617 J1913+0617 19:13 0 +06:17 0 * 0 * 0 * 0 56657.00 40.983 -1.903 0.005030 0 * 0 * 0 * 0 56657.00 155.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.76 * palfa * -2210 J1913+0657 J1913+0657 19:13:32.9 4.0e-02 +06:57:24.3 1.0e+00 * 0 * 0 * 0 56700.00 41.644 -1.712 1.257181 7.0e-11 2.83e-15 7.0e-18 * 0 * 0 56700.00 142.00 3.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.07 * palfa * - -2211 J1913+0832 J1913+0832 19:13:00.5 2.0e-02 +08:32:05.1 5.0e-01 * 0 * 0 * 0 51685.00 42.980 -0.862 0.134409 1.1e-11 4.57e-15 8.0e-19 -2.700e-24 2.5e-24 * 0 51685.00 355.20 1.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.20 * pksmb,palfa * -2212 J1913+0904 J1913+0904 19:13:21.0 8.0e-03 +09:04:45.4 4.0e-01 * 0 * 0 * 0 53249.00 43.502 -0.684 0.163246 1.1e-11 1.76e-14 8.0e-19 -2.300e-23 8.0e-24 * 0 53249.00 95.30 6.0e-01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 GRS:[hsg+14] pksmb,palfa HE -2213 B1911+09 J1913+0936 19:13:52.7 2.0e-02 +09:36:41.8 3.0e-01 * 0 * 0 * 0 51600.00 44.034 -0.553 1.241965 3.0e-11 4.32e-16 4.0e-18 * 0 * 0 51600.00 157.00 2.0e+00 * 0 0.80 1.0e-01 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * ar1,pksmb,palfa * -2214 J1913+1000 J1913+1000 19:13:03.5 5.0e-02 +10:00:02.4 1.4e+00 * 0 * 0 * 0 52187.00 44.285 -0.194 0.837148 5.0e-11 1.67e-14 6.0e-18 * 0 * 0 52187.00 422.00 3.0e+00 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * pksmb,palfa * -2215 J1913+1011 J1913+1011 19:13:20.3 3.0e-03 +10:11:22.9 7.0e-02 * 0 * 0 * 0 51697.00 44.485 -0.167 0.035909 1.5e-13 3.37e-15 6.0e-20 * 0 * 0 51697.00 178.80 3.0e-01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.61 * pksmb,palfa * - -2216 J1913+1050 J1913+1050 19:13:35.3 9.0e-03 +10:50:26.6 3.0e-01 * 0 * 0 * 0 56700.00 45.090 0.081 0.190067 3.0e-12 1.95e-16 1.2e-19 * 0 * 0 56700.00 231.10 9.0e-01 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * palfa * -2217 J1913+1102 J1913+1102 19:13:29.0 3.0e-04 +11:02:05.7 9.0e-03 * 0 * 0 * 0 56357.00 45.250 0.194 0.027285 1.5e-14 1.61e-19 3.0e-21 * 0 * 0 56357.00 338.96 2.0e-02 * 0 * 0 0.02 0 DD 56241.0297 5.0e-06 0.2063 6.0e-09 1.7546 8.0e-06 264.28 9.0e-03 8.954e-02 1.0e-05 * 0 * 0 * 0 7.13 * palfa * -2218 J1913+1103 J1913+1103 19:13 0 +11:03 0 * 0 * 0 * 0 56657.00 45.208 0.306 0.923910 0 * 0 * 0 * 0 56657.00 628.90 0 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.19 * palfa * -2219 J1913+1145 J1913+1145 19:13:43.8 6.0e-02 +11:45:33.1 1.1e+00 * 0 * 0 * 0 51290.00 45.920 0.476 0.306069 3.0e-11 5.02e-15 1.1e-17 * 0 * 0 51290.00 637.00 2.2e+00 * 0 * 0 0.43 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.78 * pksmb,palfa * -2220 J1913+1330 J1913+1330 19:13:17.9 8.0e-03 +13:30:32.8 1.0e-01 * 0 * 0 * 0 53987.00 47.421 1.381 0.923391 2.0e-11 8.68e-15 2.0e-19 * 0 * 0 53987.00 175.64 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.18 * pksmb,palfa RRAT - -2221 B1911+13 J1913+1400 19:13:24.3 1.2e-03 +14:00:52.7 2.9e-02 * 0 * 0 * 0 49910.00 47.882 1.592 0.521473 1.7e-12 8.04e-16 1.4e-20 -1.780e-26 1.0e-27 * 0 49910.00 145.05 5.0e-03 * 0 5.20 7.0e-01 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.25 * ar1,ar2,ar3,pksmb,palfa * -2222 J1913+3732 J1913+3732 19:13:27.8 3.0e-03 +37:32:12.3 7.0e-02 * 0 * 0 * 0 56100.00 69.097 12.128 0.851079 7.0e-12 1.38e-15 7.0e-19 * 0 * 0 56100.00 72.33 4.1e-03 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.59 * htru_eff,gbncc * -2223 J1914+0219 J1914+0219 19:14:23.7 8.0e-03 +02:19:47.8 3.0e-01 * 0 * 0 * 0 53040.00 37.633 -4.037 0.457527 1.1e-11 1.02e-15 4.0e-19 -1.400e-24 3.0e-25 * 0 53040.00 233.80 4.0e-01 * 0 * 0 1.53 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.13 * pksmb * -2224 J1914+0631 J1914+0631 19:14:17.2 4.0e-02 +06:31:56.3 1.0e+00 * 0 * 0 * 0 52582.00 41.352 -2.071 0.693811 5.0e-11 3.32e-17 1.3e-17 * 0 * 0 52582.00 58.00 3.0e+00 * 0 * 0 0.26 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.78 * pksmb,palfa * -2225 J1914+0659 J1914+0659 19:14:17.6 2.0e-03 +07:01:11.0 7.0e-02 * 0 * 0 * 0 56351.00 41.785 -1.846 0.018512 3.0e-14 3.10e-20 3.0e-21 * 0 * 0 56351.00 225.30 2.0e-01 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.47 * palfa * - -2226 J1914+08 J1914+08 19:14:18 3.0e+01 +08:45 7.0e+00 * 0 * 0 * 0 57388.00 43.319 -1.045 0.440048 2.0e-06 * 0 * 0 * 0 57388.00 285.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.83 * pks_superb * -2227 B1911+11 J1914+1122 19:14:10.1 1.0e-02 +11:22:03.7 2.0e-01 * 0 * 0 * 0 42826.50 45.623 0.199 0.600997 9.0e-11 6.56e-16 1.4e-18 * 0 * 0 42826.50 100.00 1.0e+01 * 0 1.10 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * ar1,ar4,pksmb,palfa * -2228 J1915+0227 J1915+0227 19:15:02.1 5.0e-03 +02:27:47.7 1.6e-01 * 0 * 0 * 0 53036.00 37.825 -4.117 0.317306 1.6e-12 2.99e-16 1.5e-19 * 0 * 0 53036.00 192.60 5.0e-01 * 0 * 0 0.40 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.28 * pksmb * -2229 J1915+0738 J1915+0738 19:15:24.8 2.0e-02 +07:38:31.4 8.0e-01 * 0 * 0 * 0 49079.50 42.466 -1.803 1.542704 1.0e-10 3.31e-15 3.0e-18 * 0 * 0 49079.50 39.00 8.0e-02 * 0 1.90 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 * ar3,pksmb,palfa * -2230 J1915+0752 J1915+0752 19:15:01.9 2.0e-02 +07:52:09.2 6.0e-01 * 0 * 0 * 0 53048.00 42.623 -1.614 2.058314 7.0e-11 1.39e-16 9.0e-18 * 0 * 0 53048.00 105.30 3.0e-01 * 0 1.70 1.0e-01 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * ar4,pksmb,palfa * - -2231 J1915+0838 J1915+0838 19:15:13.8 3.0e-02 +08:38:59.7 1.3e+00 * 0 * 0 * 0 52025.00 43.337 -1.295 0.342777 4.0e-11 1.57e-15 4.0e-18 * 0 * 0 52025.00 358.00 3.0e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.85 * pksmb,palfa * -2232 B1913+10 J1915+1009 19:15:29.9 2.0e-03 +10:09:43.6 4.0e-02 * 0 * 0 * 0 53300.00 44.707 -0.651 0.404547 4.0e-12 1.53e-14 1.7e-19 1.320e-26 1.8e-27 * 0 54348.00 241.69 1.0e-02 * 0 23.00 2.0e+00 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * ar1,jb2,ar2,ar3,pksmb,palfa * -2233 J1915-11 J1915-11 19:15 2.0e+00 -11:30 3.6e+01 * 0 * 0 * 0 56657.00 25.244 -10.394 2.177000 2.0e-04 * 0 * 0 * 0 56657.00 91.06 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * gb350 RRAT -2234 J1915+1144 J1915+1144 19:15 0 +11:44 0 * 0 * 0 * 0 56657.00 46.041 0.189 0.173650 0 * 0 * 0 * 0 56657.00 338.30 0 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.22 * palfa * -2235 J1915+1149 J1915+1149 19:15 0 +11:49 0 * 0 * 0 * 0 56657.00 46.115 0.228 0.100040 0 * 0 * 0 * 0 56657.00 702.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.17 * palfa * - -2236 J1915+1410 J1915+1410 19:15:35.4 1.2e-02 +14:10:51.5 3.0e-01 * 0 * 0 * 0 53399.00 48.275 1.200 0.297494 7.0e-12 4.89e-17 8.0e-19 * 0 * 0 53399.00 273.70 3.0e-01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.13 * pksmb,palfa * -2237 B1913+16 J1915+1606 19:15:27.9 3.0e-05 +16:06:27.3 5.0e-04 -1.230 4.0e-02 -0.830 4.0e-02 * 0 52984.00 49.968 2.122 0.059030 1.1e-14 8.62e-18 4.0e-22 * 0 * 0 52984.00 168.77 1.0e-02 * 0 4.00 1.0e+00 0.90 2.0e-01 DDH 52144.9010 3.0e-08 0.3230 3.0e-12 2.3418 3.0e-06 292.54 8.0e-05 6.171e-01 4.0e-07 * 0 * 0 * 0 5.25 * ar1,ar4,pksmb * -2238 B1913+167 J1915+1647 19:15:19.1 2.4e-02 +16:47:08.5 5.4e-01 * 0 * 0 * 0 48867.00 50.552 2.468 1.616231 8.0e-12 4.05e-16 5.0e-20 -4.700e-29 3.0e-28 * 0 48867.00 62.57 7.0e-02 * 0 4.50 8.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * ar1,ar2,ar3,ar4,palfa * -2239 J1916+0748 J1916+0748 19:16:51.5 2.0e-01 +07:48:00 5.0e+00 * 0 * 0 * 0 53048.00 42.772 -2.047 0.541752 1.7e-10 1.07e-14 1.7e-17 * 0 * 0 53048.00 304.00 1.5e+00 * 0 1.14 9.0e-02 2.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.78 * ar4,pksmb,palfa * -2240 J1916+0844 J1916+0844 19:16:19.0 9.0e-03 +08:44:07.0 4.0e-01 * 0 * 0 * 0 52018.00 43.538 -1.493 0.439995 8.0e-12 2.90e-15 4.0e-19 * 0 * 0 52018.00 339.40 8.0e-01 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.00 * pksmb,palfa * - -2241 J1916+0852 J1916+0852 19:16:24.6 3.0e-01 +08:52:36 5.0e+00 * 0 * 0 * 0 52352.00 43.674 -1.448 2.182746 6.0e-10 1.31e-14 3.0e-16 * 0 * 0 52352.00 295.00 1.0e+01 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.41 * pksmb,palfa * -2242 B1914+09 J1916+0951 19:16:32.3 1.7e-03 +09:51:25.9 4.3e-02 * 0 * 0 * 0 49910.00 44.556 -1.019 0.270254 8.0e-13 2.52e-15 6.0e-21 -3.140e-26 1.9e-27 * 0 49910.00 60.95 6.0e-03 * 0 20.00 2.0e+00 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * ar1,mol2,jb2,gb3,ar2,ar3,pksmb,palf * -2243 J1916+1023 J1916+1023 19:16:36.9 1.5e-01 +10:23:03 6.0e+00 * 0 * 0 * 0 52529.00 45.031 -0.790 1.618339 8.0e-10 6.81e-16 1.4e-16 * 0 * 0 52529.00 329.80 1.0e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.75 * pksmb * -2244 B1913+105 J1916+1030 19:16:11.7 1.0e-02 +10:30:53.4 6.0e-01 * 0 * 0 * 0 47469.83 45.099 -0.638 0.628970 6.0e-11 3.40e-17 2.0e-18 * 0 * 0 47469.83 387.20 3.0e-01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.15 * misc,pksmb,palfa * -2245 J1916+1225 J1916+1225 19:16:20.0 1.0e-03 +12:25:53.9 4.0e-02 * 0 * 0 * 0 54570.00 46.811 0.225 0.227387 2.0e-12 2.35e-14 2.0e-19 * 0 * 0 54570.00 265.31 3.0e-02 * 0 * 0 0.09 2.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.49 * palfa * - -2246 B1914+13 J1916+1312 19:16:58.6 3.6e-03 +13:12:50.0 1.1e-01 * 0 * 0 * 0 49568.00 47.576 0.451 0.281842 5.0e-11 3.65e-15 5.0e-19 -1.350e-24 1.4e-25 * 0 49568.00 237.01 1.1e-02 * 0 12.00 1.0e+00 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * ar1,jb2,ar3,pksmb,palfa * -2247 J1917+0834 J1917+0834 19:17:48.8 6.0e-03 +08:34:54.6 1.4e-01 * 0 * 0 * 0 52345.00 43.575 -1.892 2.129665 4.0e-12 1.75e-14 2.0e-19 * 0 * 0 52345.00 29.18 6.0e-02 * 0 0.44 1.0e-01 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.23 * misc,pksmb * -2248 B1915+13 J1917+1353 19:17:39.7 1.0e-03 +13:53:56.9 2.9e-02 0.000 1.2e+01 -6.000 1.5e+01 * 0 49763.00 48.260 0.624 0.194631 4.0e-12 7.20e-15 3.0e-20 2.550e-25 1.5e-26 * 0 49763.00 94.54 4.0e-03 * 0 43.00 3.0e+00 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * misc,ar1,mol2,jb2,gb3,ar2,ar3,pksmb * -2249 J1917+1737 J1917+1737 19:17:23.9 5.0e-03 +17:37:31.6 1.0e-01 * 0 * 0 * 0 55070.00 51.528 2.418 0.334725 4.0e-12 3.24e-16 1.0e-18 * 0 * 0 55070.00 208.00 2.0e-01 * 0 * 0 0.05 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.53 * palfa * -2250 B1915+22 J1917+2224 19:17:44.2 5.7e-02 +22:22:48.8 1.1e+00 * 0 * 0 * 0 49724.00 55.785 4.553 0.425897 1.1e-11 2.86e-15 6.0e-20 -2.000e-26 7.0e-27 * 0 49724.00 134.75 3.4e-03 * 0 3.00 0 0.36 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.96 * ar2 * - -2251 J1918-0642 J1918-0642 19:18:48.0 3.0e-06 -06:42:34.9 1.8e-04 * 0 * 0 0.890 1.2e-01 55330.00 30.027 -9.123 0.007646 1.0e-17 2.57e-20 1.8e-25 * 0 * 0 55330.00 26.46 3.0e-02 * 0 5.90 6.0e-01 0.58 2.0e-02 ELL1 * 0 10.9132 1.6e-10 8.3505 1.7e-07 219.48 0.0e+00 2.034e-05 0.0e+00 55334.1636 1.3e-08 -1.293e-05 1.8e-08 -1.570e-05 1.1e-08 1.12 * pkssw,htru_pks * -2252 J1918-1052 J1918-1052 19:18:48.2 1.3e-02 -10:52:46.3 6.6e-01 * 0 * 0 * 0 55026.00 26.226 -10.963 0.798693 1.5e-11 8.65e-16 1.5e-18 * 0 * 0 55026.00 62.73 8.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.97 * gb350 * -2253 J1918+1310 J1918+1310 19:18 0 +13:10 0 * 0 * 0 * 0 56657.00 47.650 0.209 0.856740 0 * 0 * 0 * 0 56657.00 247.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * palfa * -2254 B1916+14 J1918+1444 19:18:23.6 6.1e-03 +14:45:06.0 1.4e-01 * 0 * 0 * 0 49690.00 49.096 0.866 1.181023 9.0e-11 2.12e-13 9.0e-19 -3.020e-25 1.1e-26 * 0 49690.00 27.20 1.7e-02 * 0 1.60 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.30 * ar1,jb2,ar3,pksmb,palfa HE[zkgl09] -2255 J1918+1541 J1918+1541 19:18:07.7 6.0e-02 +15:41:15.2 7.0e-01 * 0 * 0 * 0 49079.50 49.894 1.360 0.370883 1.9e-10 2.54e-15 1.3e-17 * 0 * 0 49079.50 13.00 2.0e+00 * 0 0.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 * ar3 * - -2256 B1917+00 J1919+0021 19:19:50.6 5.0e-03 +00:21:39.8 2.0e-01 -2.000 3.0e+01 -1.000 1.0e+01 * 0 49427.00 36.506 -6.151 1.272260 3.0e-11 7.67e-15 1.7e-19 1.660e-26 1.9e-27 * 0 49427.00 90.31 1.6e-02 * 0 16.00 1.0e+00 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 * jb1,mol2,gb2,gb3,pks70,ar4,pkssw * -2257 J1919+0134 J1919+0134 19:19:43.6 3.0e-02 +01:34:56.5 7.0e-01 * 0 * 0 * 0 51650.00 37.582 -5.563 1.603984 6.0e-11 5.89e-16 1.1e-17 * 0 * 0 51650.00 191.90 4.0e-01 * 0 * 0 0.77 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.36 * pkssw,pksmb * -2258 J1919+1314 J1919+1314 19:19:32.9 5.0e-03 +13:14:37.3 1.0e-01 * 0 * 0 * 0 54790.00 47.895 -0.088 0.571400 2.0e-12 3.79e-15 6.0e-20 * 0 * 0 54790.00 613.40 2.0e-01 * 0 * 0 0.22 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.03 * palfa * -2259 J1919+1645 J1919+1645 19:19:09.2 2.0e-03 +16:45:22.7 8.0e-02 * 0 * 0 * 0 53560.00 50.954 1.642 0.562790 3.0e-12 2.16e-16 4.0e-19 * 0 * 0 53560.00 208.00 9.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.41 * pksngp * -2260 J1919+1745 J1919+1745 19:19:43.3 4.0e-03 +17:45:03.7 8.0e-02 * 0 * 0 * 0 55320.00 51.897 1.987 2.081343 9.0e-12 1.71e-15 4.0e-19 * 0 * 0 55320.00 142.30 2.0e-01 * 0 * 0 0.19 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * palfa RRAT - -2261 J1920-09 J1920-09 19:20:49 0 -09:46:27 0 * 0 * 0 * 0 55561.00 27.459 -10.926 1.038000 0 * 0 * 0 * 0 55561.00 93.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.16 * htru_pks * -2262 J1920+1040 J1920+1040 19:20:55.3 8.0e-02 +10:40:31 3.0e+00 * 0 * 0 * 0 52596.00 45.784 -1.590 2.215802 2.0e-10 6.48e-15 3.0e-17 * 0 * 0 52596.00 304.00 9.0e+00 * 0 * 0 0.57 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.15 * pksmb,palfa * -2263 J1920+1110 J1920+1110 19:20:13.3 6.0e-02 +11:10:59 3.0e+00 * 0 * 0 * 0 51719.00 46.152 -1.199 0.509886 5.0e-11 1.56e-16 1.9e-17 * 0 * 0 51719.00 182.00 3.0e+00 * 0 * 0 0.39 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb,ar4,palfa * -2264 B1918+26 J1920+2650 19:20:38.3 1.6e-02 +26:50:38.4 2.9e-01 * 0 * 0 * 0 49912.00 60.068 6.027 0.785522 4.0e-12 3.44e-17 4.0e-20 2.900e-28 9.8e-28 * 0 49912.00 27.71 8.2e-04 * 0 6.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * gb2,ar4,gb4 * -2265 J1921+0812 J1921+0812 19:21:47.7 5.0e-03 +08:12:51.8 1.0e-01 * 0 * 0 * 0 53277.00 43.710 -2.934 0.210648 1.4e-12 5.36e-15 6.0e-19 * 0 * 0 53277.00 84.00 6.0e-01 * 0 * 0 0.66 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 * pksmb * - -2266 B1919+14 J1921+1419 19:21:24.1 1.5e-02 +14:19:17.1 3.9e-01 * 0 * 0 * 0 48741.00 49.058 0.021 0.618183 1.2e-11 5.60e-15 6.0e-20 3.700e-26 3.0e-27 * 0 48741.00 91.64 4.0e-02 * 0 3.20 0 0.68 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.81 * ar1,jb2,pksmb,palfa * -2267 J1921+1544 J1921+1544 19:21:46.4 9.0e-04 +15:44:17.4 2.0e-02 * 0 * 0 * 0 53632.00 50.350 0.609 0.143576 2.0e-13 9.80e-16 2.0e-20 * 0 * 0 53632.00 385.00 2.0e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.04 * pksngp,palfa * -2268 J1921+16 J1921+16 19:21 0 +16:00 0 * 0 * 0 * 0 56657.00 50.494 0.896 0.936430 0 * 0 * 0 * 0 56657.00 204.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * palfa * -2269 B1918+19 J1921+1948 19:21:03.7 1.6e-02 +19:48:44.7 3.6e-01 * 0 * 0 * 0 48739.00 53.869 2.672 0.821035 6.0e-12 8.96e-16 3.0e-20 1.700e-27 6.0e-28 * 0 48739.00 153.85 5.0e-02 * 0 34.00 4.0e+00 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * jb1,ar1,mol2,gb3,ar2,ar3,gb4 * -2270 B1919+20 J1921+2003 19:21:51.5 8.0e-03 +20:03:20.8 8.0e-01 * 0 * 0 * 0 51600.00 54.172 2.621 0.760681 1.0e-11 5.00e-17 1.0e-18 * 0 * 0 51600.00 101.00 1.0e+00 * 0 2.30 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.29 * ar1 * - -2271 B1919+21 J1921+2153 19:21:44.8 2.0e-03 +21:53:02.2 4.0e-02 17.000 4.0e+00 32.000 6.0e+00 * 0 48999.00 55.777 3.501 1.337302 9.0e-13 1.35e-15 8.0e-21 -1.100e-28 5.0e-29 * 0 48999.00 12.44 6.3e-04 * 0 57.00 8.0e+00 6.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * misc,jb1,ar1,gb1,gb3,ar2,ar3,gb4 * -2272 J1921+42 J1921+42 19:21:56 4.0e+01 +42:25 8.0e+00 * 0 * 0 * 0 56292.00 74.326 12.733 0.595201 1.5e-05 * 0 * 0 * 0 56292.00 53.00 1.0e+00 * 0 8.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.71 * gbncc * -2273 J1922+1131 J1922+1131 19:22:50.2 3.0e-02 +11:31:58.5 6.0e-01 * 0 * 0 * 0 56700.00 46.762 -1.601 0.562074 3.0e-11 2.57e-17 1.0e-18 * 0 * 0 56700.00 335.00 3.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.49 * palfa * -2274 J1922+1733 J1922+1733 19:22:53.2 7.0e-04 +17:33:23.4 2.0e-02 * 0 * 0 * 0 53595.00 52.080 1.230 0.236171 3.0e-13 1.34e-14 4.0e-20 * 0 * 0 53595.00 238.00 4.0e+00 * 0 * 0 1.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * pksngp,palfa * -2275 B1920+20 J1922+2018 19:22:08.0 2.9e-02 +20:17:57.3 5.7e-01 * 0 * 0 * 0 49670.00 54.417 2.678 1.172763 1.2e-11 6.49e-16 9.0e-20 -1.300e-27 1.2e-27 * 0 49670.00 203.31 1.0e-01 * 0 3.80 7.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * ar1,ar3 * - -2276 B1920+21 J1922+2110 19:22:53.5 5.9e-03 +21:10:41.9 1.4e-01 * 0 * 0 * 0 49879.00 55.278 2.935 1.077924 5.0e-11 8.18e-15 5.0e-19 1.300e-26 8.0e-27 * 0 49879.00 217.09 1.8e-02 * 0 30.00 1.0e+00 1.40 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * jb1,ar1,gb1,gb3,ar2,ar3 * -2277 J1922+58 J1922+58 19:22 3.0e+00 +58:28 1.8e+01 * 0 * 0 * 0 56292.00 89.671 19.073 0.529623 1.0e-05 * 0 * 0 * 0 56292.00 53.00 1.0e+00 * 0 3.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.37 * gbncc * -2278 B1921+17 J1923+1706 19:23:07.8 1.0e-02 +17:06:09.4 2.0e-01 * 0 * 0 * 0 51600.00 51.707 0.965 0.547209 8.0e-12 4.30e-17 1.0e-18 * 0 * 0 51600.00 142.50 6.0e-01 * 0 1.50 1.0e-01 0.41 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * ar1,ar3,ar4,palfa * -2279 J1923+2515 J1923+2515 19:23:22.4 5.6e-06 +25:15:40.5 1.1e-04 * 0 * 0 1.200 5.0e-01 56583.00 58.946 4.749 0.003788 1.5e-17 9.56e-21 8.0e-25 * 0 * 0 56583.00 18.86 1.8e-04 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.20 * gb350 * -2280 J1924+1628 J1924+1628 19:24 0 +16:28 0 * 0 * 0 * 0 56657.00 51.245 0.481 0.375090 0 * 0 * 0 * 0 56657.00 542.90 0 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.66 * palfa * - -2281 J1924+1631 J1924+1631 19:24:54.8 3.0e-02 +16:31:48.8 6.0e-01 * 0 * 0 * 0 54690.00 51.405 0.318 2.935186 2.0e-10 3.64e-13 4.0e-18 * 0 * 0 54690.00 518.50 9.0e-01 * 0 * 0 0.09 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.19 * palfa * -2282 J1924+1639 J1924+1639 19:24:03.1 5.0e-04 +16:39:40.7 9.0e-03 * 0 * 0 * 0 53720.00 51.422 0.562 0.158043 2.0e-13 2.56e-15 1.0e-20 * 0 * 0 53720.00 208.00 3.0e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.06 * pksngp,palfa * -2283 J1924+17 J1924+17 19:24 0 +17:00 0 * 0 * 0 * 0 56657.00 51.715 0.733 0.758430 0 * 0 * 0 * 0 56657.00 527.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.65 * palfa * -2284 B1922+20 J1924+2040 19:24:40 1.2e+01 +20:40:03 3.0e+01 * 0 * 0 * 0 43957.49 55.022 2.328 0.237790 8.0e-09 2.09e-15 1.2e-16 * 0 * 0 43957.49 213.00 1.0e+01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.47 * ar1 * -2285 J1925-16 J1925-16 19:25:06 2.9e+01 -16:01:00 4.2e+02 * 0 * 0 * 0 55196.00 22.130 -14.537 3.885800 2.0e-04 * 0 * 0 * 0 55196.00 88.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * htru_pks RRAT - -2286 J1925+1720 J1925+1720 19:25:27.0 4.0e-03 +17:20:27.3 8.0e-02 * 0 * 0 * 0 56700.00 52.179 0.590 0.075659 1.1e-12 1.05e-14 1.1e-19 * 0 * 0 56700.00 223.30 1.5e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.06 GRS:3FGL_J1925.4+1727[lsb+17] palfa * -2287 J1925+19 J1925+19 19:25:26 2.8e+01 +19:04 7.0e+00 * 0 * 0 * 0 54346.00 53.697 1.412 1.916353 6.0e-06 * 0 * 0 * 0 54346.00 328.00 1.6e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.33 * pksngp * -2288 B1923+04 J1926+0431 19:26:24.4 9.0e-03 +04:31:31.6 2.5e-01 * 0 * 0 * 0 48716.00 40.980 -5.674 1.074078 4.0e-12 2.46e-15 3.0e-20 1.400e-26 3.0e-28 * 0 48716.00 102.24 1.9e-02 * 0 22.00 2.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * mol2,pkssw,gb4 * -2289 J1926+0737 J1926+0737 19:26:33.7 6.0e-03 +07:37:07.2 3.0e-01 * 0 * 0 * 0 54833.60 43.739 -4.256 0.318062 1.2e-11 3.75e-16 4.0e-18 * 0 * 0 54833.60 159.00 2.0e+00 * 0 * 0 0.11 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.73 * pksmb * -2290 J1926-1314 J1926-1314 19:26:53.8 3.0e-03 -13:14:03.8 1.8e+00 * 0 * 0 * 0 55791.00 24.922 -13.763 4.864284 1.0e-10 3.64e-14 5.0e-18 * 0 * 0 55791.00 40.83 5.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 * gb350 * - -2291 B1924+14 J1926+1434 19:26:57.2 2.1e-02 +14:34:55.3 4.6e-01 * 0 * 0 * 0 48717.00 49.923 -1.039 1.324922 9.0e-12 2.19e-16 6.0e-20 5.000e-28 3.8e-28 * 0 48717.00 211.41 8.0e-02 * 0 9.00 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.65 * ar1,jb2,ar3,pksmb,palfa * -2292 J1926+1613 J1926+1613 19:26 0 +16:13 0 * 0 * 0 * 0 56657.00 51.252 -0.060 0.308300 0 * 0 * 0 * 0 56657.00 32.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * palfa * -2293 B1924+16 J1926+1648 19:26:45.3 2.9e-03 +16:48:32.7 6.8e-02 * 0 * 0 * 0 49857.00 51.859 0.063 0.579823 4.0e-11 1.80e-14 3.0e-19 4.100e-26 1.6e-26 * 0 49857.00 176.88 1.1e-02 * 0 8.00 1.0e+00 1.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.00 * ar1,jb2,ar2,ar3,ar4,palfa * -2294 B1924+19 J1926+1928 19:26:22.8 4.0e-02 +19:28:11.7 8.0e-01 * 0 * 0 * 0 51600.00 54.158 1.407 1.346012 9.0e-11 1.43e-15 1.0e-17 * 0 * 0 51600.00 445.00 2.0e+00 * 0 0.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.58 * ar1 * -2295 J1926+2016 J1926+2016 19:26:18.0 1.0e-03 +20:16:01.1 3.0e-02 * 0 * 0 * 0 53595.00 54.851 1.802 0.299072 7.0e-13 3.50e-15 6.0e-20 * 0 * 0 53595.00 247.00 5.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pksngp,palfa * - -2296 J1927+0911 J1927+0911 19:27:25.6 8.0e-03 +09:11:05.7 3.0e-01 * 0 * 0 * 0 53454.00 45.224 -3.705 0.290305 5.0e-12 6.35e-17 4.0e-19 * 0 * 0 53454.00 202.70 4.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.93 * pksmb * -2297 B1925+18 J1927+1852 19:27:10.4 8.0e-03 +18:52:08.5 2.0e-01 * 0 * 0 * 0 51600.00 53.718 0.956 0.482766 7.0e-12 1.16e-16 1.0e-18 * 0 * 0 51600.00 254.00 1.0e+00 * 0 3.40 1.0e-01 0.44 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * ar1,ar3,palfa * -2298 B1925+188 J1927+1856 19:27:24.9 1.0e-02 +18:56:36.8 2.0e-01 * 0 * 0 * 0 51600.00 53.811 0.941 0.298313 4.0e-12 2.24e-15 8.0e-19 * 0 * 0 51600.00 99.00 1.0e+00 * 0 2.20 1.0e-01 0.55 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 * ar1,ar3,palfa * -2299 B1925+22 J1927+2234 19:27:08.0 1.0e-02 +22:34:57.3 2.0e-01 * 0 * 0 * 0 42830.50 56.983 2.730 1.431066 1.7e-11 7.71e-16 3.0e-18 * 0 * 0 42830.50 180.00 3.0e+01 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.71 * ar1,ar3 * -2300 J1928+1443 J1928+1443 19:28:06.7 5.0e-02 +14:43:11.3 1.2e+00 * 0 * 0 * 0 56700.00 50.178 -1.220 1.010739 7.0e-11 2.10e-16 8.0e-18 * 0 * 0 56700.00 101.00 5.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.08 * palfa * - -2301 J1928+15 J1928+15 19:28:20 7.0e+00 +15:13 2.0e+00 * 0 * 0 * 0 54466.00 50.640 -1.030 0.403000 0 * 0 * 0 * 0 54466.00 242.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.75 * palfa RRAT -2302 J1928+1746 J1928+1746 19:28:42.5 1.0e-03 +17:46:29.6 3.0e-02 * 0 * 0 * 0 54770.00 52.931 0.114 0.068730 2.0e-13 1.32e-14 6.0e-21 * 0 * 0 54770.00 176.68 5.0e-02 * 0 * 0 0.28 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * palfa * -2303 J1928+1923 J1928+1923 19:28:05.1 5.0e-03 +19:23:31.3 8.0e-02 * 0 * 0 * 0 53640.00 54.281 1.016 0.817330 6.0e-12 6.35e-15 7.0e-19 * 0 * 0 53640.00 476.00 1.4e+01 * 0 * 0 0.64 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.58 * pksngp,palfa * -2304 J1929+00 J1929+00 19:29:28 1.6e+01 +00:26 5.0e+00 * 0 * 0 * 0 49717.00 37.687 -8.253 1.166900 3.0e-06 * 0 * 0 * 0 49717.00 33.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.26 * ar4,pkssw * -2305 J1929+1357 J1929+1357 19:29:10.6 2.0e-02 +13:57:35.9 5.0e-01 * 0 * 0 * 0 56440.00 49.633 -1.810 0.866927 7.0e-11 3.66e-15 3.0e-17 1.000e-23 2.0e-25 -4.200e-31 4.0e-32 56440.00 150.70 3.0e-01 * 0 * 0 2.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * palfa * - -2306 J1929+16 J1929+16 19:29:18 2.8e+01 +16:21 7.0e+00 * 0 * 0 * 0 53480.00 51.747 -0.692 0.529681 2.0e-06 * 0 * 0 * 0 53480.00 12.00 9.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.76 * pksngp * -2307 B1926+18 J1929+1844 19:29:16.7 4.0e-02 +18:44:59.5 7.0e-01 * 0 * 0 * 0 51600.00 53.852 0.461 1.220470 8.0e-11 2.36e-15 1.0e-17 * 0 * 0 51600.00 112.00 2.0e+00 * 0 1.70 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.32 * ar1 * -2308 J1929+19 J1929+19 19:29:32 2.8e+01 +19:05 7.0e+00 * 0 * 0 * 0 53363.00 54.173 0.568 0.339215 4.0e-07 * 0 * 0 * 0 53363.00 527.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.63 * pksngp * -2309 J1929+1955 J1929+1955 19:29:17.5 6.0e-04 +19:55:07.9 1.0e-02 * 0 * 0 * 0 53595.00 54.879 1.018 0.257832 3.0e-13 2.56e-15 3.0e-20 * 0 * 0 53595.00 281.00 4.0e+00 * 0 * 0 0.42 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.61 * pksngp,palfa * -2310 J1929+2121 J1929+2121 19:29:04.2 2.0e-03 +21:21:22.6 3.0e-02 * 0 * 0 * 0 53635.00 56.117 1.751 0.723599 2.0e-12 2.14e-15 2.0e-19 * 0 * 0 53635.00 66.00 1.2e+01 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.65 * pksngp * - -2311 J1929+62 J1929+62 19:29 3.0e+00 +62:16 1.8e+01 * 0 * 0 * 0 56292.00 93.758 19.635 1.456004 6.6e-05 * 0 * 0 * 0 56292.00 67.70 7.0e-01 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.94 * gbncc * -2312 B1927+13 J1930+1316 19:30:00.9 8.0e-03 +13:16:11.1 2.0e-01 * 0 * 0 * 0 42828.50 49.124 -2.319 0.760032 9.0e-11 3.66e-15 2.0e-18 * 0 * 0 42828.50 207.30 9.0e-01 * 0 5.00 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.34 * ar1,pksmb * -2313 J1930+14 J1930+14 19:30 0 +14:00 0 * 0 * 0 * 0 56657.00 49.764 -1.966 0.425710 0 * 0 * 0 * 0 56657.00 209.20 0 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * palfa * -2314 J1930+17 J1930+17 19:30:44 2.8e+01 +17:25 7.0e+00 * 0 * 0 * 0 53443.00 52.847 -0.481 1.609690 7.0e-07 * 0 * 0 * 0 53443.00 201.00 2.7e+01 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.66 * pksngp,palfa * -2315 J1930-1852 J1930-1852 19:30:29.7 7.0e-04 -18:51:46.2 6.0e-02 * 0 * 0 * 0 56513.00 19.976 -16.873 0.185520 8.0e-14 1.80e-17 6.0e-21 * 0 * 0 56513.00 42.85 4.0e-04 * 0 * 0 * 0 BT 56526.6423 3.0e-06 45.0600 5.0e-07 86.8903 7.0e-06 292.08 2.0e-05 3.989e-01 1.7e-07 * 0 * 0 * 0 2.00 * gb350 * - -2316 J1930+1852 J1930+1852 19:30:30.1 4.0e-02 +18:52:14.1 6.0e-01 * 0 * 0 * 0 52280.00 54.096 0.265 0.136855 9.0e-12 7.51e-13 1.0e-17 * 0 * 0 52280.00 308.00 4.0e+00 * 0 * 0 0.06 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 SNR:G54.1+0.3,XRS misc HE -2317 J1931+1439 J1931+1439 19:31:40.4 1.8e-02 +14:39:38.7 4.0e-01 * 0 * 0 * 0 56700.00 50.539 -2.005 1.779226 7.0e-11 6.33e-15 2.0e-18 * 0 * 0 56700.00 243.00 1.6e+01 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.12 * palfa * -2318 B1929+15 J1931+1536 19:31:55.7 1.0e-02 +15:36:57.5 3.0e-01 * 0 * 0 * 0 51600.00 51.406 -1.599 0.314355 6.0e-12 5.01e-15 9.0e-19 * 0 * 0 51600.00 140.00 1.0e+00 * 0 1.20 1.0e-01 0.36 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * ar1,palfa * -2319 J1931+1952 J1931+1952 19:31:55.8 3.0e-03 +19:52:11.5 1.0e-01 * 0 * 0 * 0 53560.00 55.134 0.451 0.501123 4.0e-12 1.01e-16 6.0e-19 * 0 * 0 53560.00 441.00 8.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.62 * pksngp,palfa * -2320 J1931+30 J1931+30 19:31:28 1.6e+01 +30:35 5.0e+00 * 0 * 0 * 0 49717.00 64.506 5.674 0.582126 3.0e-06 * 0 * 0 * 0 49717.00 56.00 1.1e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * ar4 * - -2321 B1929+10 J1932+1059 19:32:13.9 3.0e-04 +10:59:32.4 5.0e-03 94.090 1.1e-01 42.990 1.6e-01 2.770 7.0e-02 51544.00 47.382 -3.884 0.226518 5.0e-12 1.16e-15 1.6e-20 1.500e-26 3.0e-27 * 0 46523.00 3.18 1.6e-04 * 0 303.00 7.6e+01 36.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.31 * mol1,jb1,ar1,mol2,ar2,ar3,ar4,pksmb HE[yhh94] -2322 J1932+1500 J1932+1500 19:32:46.3 1.5e-02 +15:00:22.2 4.0e-01 * 0 * 0 * 0 56700.00 50.970 -2.071 1.864332 1.1e-10 4.59e-16 7.0e-18 * 0 * 0 56700.00 90.50 1.8e+00 * 0 * 0 0.19 0 BT 56634.8980 1.4e-02 198.9251 2.0e-04 76.9255 6.0e-04 292.13 2.0e-02 2.893e-02 1.4e-05 * 0 * 0 * 0 2.85 * palfa * -2323 J1932+17 J1932+17 19:32 0 +17:00 0 * 0 * 0 * 0 56657.00 52.628 -0.947 0.041820 0 * 0 * 0 * 0 56657.00 53.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.07 * palfa * -2324 J1932+1916 J1932+1916 19:32:19.7 4.0e-02 +19:16:39 1.0e+00 * 0 * 0 * 0 55214.00 54.661 0.083 0.208215 1.4e-11 9.32e-14 5.0e-19 -3.000e-24 1.0e-24 * 0 55214.00 * 0 * 0 * 0 0.00 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -2325 B1929+20 J1932+2020 19:32:08.0 2.7e-03 +20:20:46.4 5.3e-02 * 0 * 0 * 0 49887.00 55.575 0.639 0.268217 6.0e-12 4.22e-15 4.0e-20 -1.570e-25 1.2e-26 * 0 49887.00 211.15 1.1e-02 * 0 29.00 2.0e+00 1.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * ar1,jb2,gb3,ar2,ar3,palfa * - -2326 B1930+22 J1932+2220 19:32:22.7 2.9e-02 +22:20:51.5 5.0e-01 * 0 * 0 * 0 51418.00 57.356 1.554 0.144470 3.0e-11 5.76e-14 3.0e-19 4.390e-23 8.0e-25 * 0 51418.00 219.20 5.0e-01 * 0 7.80 8.0e-01 1.20 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.90 * ar1,gb3,ar2,ar3 * -2327 J1932-3655 J1932-3655 19:32:06.1 8.0e-03 -36:55:02.1 4.0e-01 * 0 * 0 * 0 49542.52 2.072 -23.546 0.571420 1.0e-10 2.84e-16 3.0e-18 * 0 * 0 49542.52 59.88 1.0e-02 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pks70,pkssw * -2328 J1933+0758 J1933+0758 19:33:19.4 2.0e-03 +07:58:07.0 7.0e-02 * 0 * 0 * 0 53048.00 44.845 -5.565 0.437454 2.0e-12 2.18e-16 2.0e-19 * 0 * 0 53048.00 165.02 4.0e-02 * 0 0.34 3.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.17 * ar4 * -2329 B1930+13 J1933+1304 19:33:22.5 4.0e-03 +13:04:49.9 8.0e-02 * 0 * 0 * 0 51600.00 49.351 -3.127 0.928324 5.0e-12 3.18e-16 7.0e-19 * 0 * 0 51600.00 177.01 1.5e-01 * 0 2.00 1.0e-01 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * ar1,ar3,pksmb * -2330 J1933+1726 J1933+1726 19:33:22.9 3.0e-04 +17:26:49.6 9.0e-03 * 0 * 0 * 0 56466.00 53.179 -1.021 0.021507 1.0e-14 4.90e-20 1.0e-21 * 0 * 0 56466.00 156.90 3.0e-02 * 0 * 0 0.04 0 ELL1 * 0 5.1539 2.0e-08 13.6735 1.0e-05 344.52 0.0e+00 6.745e-05 0.0e+00 56466.1821 6.0e-07 -1.800e-05 1.0e-06 6.500e-05 1.0e-06 4.07 * palfa * - -2331 B1931+24 J1933+2421 19:33:37.8 1.4e-02 +24:36:39.6 3.2e-01 * 0 * 0 * 0 50629.00 59.478 2.394 0.813690 7.0e-11 8.11e-15 7.0e-19 1.160e-24 3.0e-26 * 0 50629.00 106.03 6.0e-02 * 0 7.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.64 * gb3,ar3,gb4 * -2332 J1933-6211 J1933-6211 19:33:32.4 5.0e-05 -62:11:46.8 1.0e-03 -5.540 7.0e-02 10.700 2.0e-01 * 0 53000.00 334.431 -28.632 0.003543 3.0e-16 3.87e-21 9.0e-25 * 0 * 0 53000.00 11.52 2.0e-03 * 0 * 0 2.30 0 ELL1 * 0 12.8194 8.0e-10 12.2816 3.0e-07 103.24 0.0e+00 1.397e-06 0.0e+00 53000.4953 2.0e-07 1.360e-06 4.0e-08 -3.200e-07 3.0e-08 0.65 * pkssw * -2333 J1934+19 J1934+19 19:34 0 +19:00 0 * 0 * 0 * 0 56657.00 54.609 -0.397 0.230990 0 * 0 * 0 * 0 56657.00 97.60 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.11 * palfa * -2334 J1934+2352 J1934+2352 19:34:46.1 2.0e-02 +23:52:55.9 3.0e-01 * 0 * 0 * 0 54650.00 58.966 1.814 0.178432 2.0e-11 1.31e-13 2.0e-18 * 0 * 0 54650.00 355.50 2.0e-01 * 0 * 0 0.06 2.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.20 * palfa * -2335 J1935+1159 J1935+1159 19:35:16.0 1.4e-02 +11:59:09.2 4.0e-01 * 0 * 0 * 0 53400.00 48.613 -4.059 1.939758 1.6e-10 9.48e-16 6.0e-19 * 0 * 0 53400.00 188.76 6.0e-02 * 0 1.00 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.43 * ar4 * - -2336 B1933+16 J1935+1616 19:35:47.8 1.0e-04 +16:16:39.9 2.0e-03 1.130 1.3e-01 -16.090 1.5e-01 0.220 1.2e-01 52275.00 52.436 -2.093 0.358738 6.0e-13 6.00e-15 1.5e-21 1.449e-26 1.1e-28 * 0 46434.00 158.52 3.0e-03 * 0 242.00 2.2e+01 42.00 6.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.70 * jb1,ar1,mol2,gb3,ar2,ar3,ar4,gb4,pa * -2337 J1935+1726 J1935+1726 19:35:03.9 3.0e-03 +17:26:28.4 3.0e-02 * 0 * 0 * 0 55314.00 53.368 -1.374 0.004200 7.0e-15 * 0 * 0 * 0 55314.00 61.60 1.0e-01 * 0 * 0 0.68 0 ELL1 * 0 90.7639 2.0e-05 31.9742 6.0e-05 10.16 0.0e+00 1.758e-04 0.0e+00 54616.7206 1.0e-04 3.100e-05 4.0e-06 1.730e-04 4.0e-06 2.31 * pksngp * -2338 B1933+17 J1935+1745 19:35:29.9 1.0e-02 +17:45:12.2 2.0e-01 * 0 * 0 * 0 51600.00 53.691 -1.313 0.654408 1.0e-12 3.78e-16 2.0e-18 * 0 * 0 51600.00 214.60 4.0e-01 * 0 1.30 1.0e-01 0.16 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * ar1,palfa * -2339 J1935+2025 J1935+2025 19:35:41.9 3.0e-03 +20:25:40.1 3.0e-01 * 0 * 0 * 0 53460.00 56.051 -0.053 0.080118 6.0e-12 6.08e-14 1.0e-19 * 0 * 0 53460.00 182.00 1.0e+00 * 0 * 0 0.53 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * pksngp,palfa * -2340 J1935+2154 J1935+2154 19:34:55.6 1.7e-01 +21:53:48.2 2.3e+00 * 0 * 0 * 0 56866.00 57.247 0.819 3.244980 1.0e-05 * 0 * 0 * 0 56866.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SGR_1935+2154,SNR:G57.2+0.8(?)[gae14] misc AXP,NRAD - -2341 J1935+52 J1935+52 19:35 2.0e+00 +52:12 1.8e+01 * 0 * 0 * 0 56292.00 84.409 14.906 0.568387 1.7e-05 * 0 * 0 * 0 56292.00 71.00 2.0e+00 * 0 3.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.41 * gbncc * -2342 B1933+15 J1936+1536 19:36:01.5 2.0e-02 +15:36:36.0 2.0e-01 * 0 * 0 * 0 42830.50 51.879 -2.465 0.967338 3.0e-11 4.04e-15 6.0e-18 * 0 * 0 42830.50 165.00 2.0e+01 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.63 * ar1 * -2343 J1936+20 J1936+20 19:36 0 +20:00 0 * 0 * 0 * 0 56657.00 55.712 -0.323 1.390880 0 * 0 * 0 * 0 56657.00 205.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.86 * palfa * -2344 J1936+21 J1936+21 19:36:29 2.8e+01 +21:12 7.0e+00 * 0 * 0 * 0 53281.00 56.814 0.164 0.642932 2.0e-06 * 0 * 0 * 0 53281.00 264.00 1.1e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.14 * pksngp,palfa * -2345 J1937-00 J1937-00 19:37:09 3.0e+01 -00:17 8.0e+00 * 0 * 0 * 0 56453.00 37.943 -10.288 0.240100 0 * 0 * 0 * 0 56453.00 68.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.51 * ar327 * - -2346 J1937+1505 J1937+1505 19:37:16.3 1.4e-01 +15:05:19 4.0e+00 * 0 * 0 * 0 51969.00 51.569 -2.981 2.872774 7.0e-10 5.61e-15 3.0e-16 * 0 * 0 51969.00 237.00 1.1e+01 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.45 * pksmb * -2347 B1935+25 J1937+2544 19:37:01.2 1.1e-03 +25:44:13.6 2.1e-02 * 0 * 0 * 0 49703.00 60.836 2.270 0.200980 1.7e-13 6.43e-16 1.3e-21 2.300e-28 5.7e-28 * 0 49703.00 53.22 5.0e-03 * 0 6.60 4.0e-01 2.30 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * gb2,ar3 * -2348 J1937+2950 J1937+2950 19:37:47.6 1.4e-02 +29:50:01.8 2.0e-01 * 0 * 0 * 0 54250.00 64.504 4.115 1.657429 3.0e-11 3.48e-15 1.7e-18 * 0 * 0 54250.00 113.99 1.1e-01 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.47 * misc * -2349 J1938+0650 J1938+0650 19:37:53.4 4.0e-02 +06:50:06.0 2.0e-01 * 0 * 0 * 0 51824.00 44.386 -7.101 1.121562 5.0e-09 5.68e-15 1.0e-17 * 0 * 0 51824.00 70.80 2.0e-01 * 0 3.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.83 * ar4,pkssw * -2350 J1938+14 J1938+14 19:38:19 1.2e+02 +14:42 8.0e+00 * 0 * 0 * 0 57022.00 51.352 -3.391 2.902510 0 * 0 * 0 * 0 57022.00 74.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.54 * ar327 * - -2351 J1938+2010 J1938+2010 19:38:08.3 2.0e-02 +20:10:51.7 4.0e-01 * 0 * 0 * 0 54940.00 56.115 -0.672 0.687082 2.0e-11 3.40e-15 1.0e-18 * 0 * 0 54940.00 327.70 8.0e-01 * 0 * 0 0.10 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.81 * palfa,pksngp * -2352 J1938+2012 J1938+2012 19:38:40.0 1.0e-04 +20:12:50.8 3.0e-03 * 0 * 0 * 0 56511.00 56.205 -0.764 0.002634 6.0e-16 7.50e-22 6.0e-23 * 0 * 0 56511.00 236.91 5.0e-03 * 0 * 0 0.02 0 ELL1 * 0 16.2558 1.0e-07 8.3178 4.0e-06 107.91 0.0e+00 1.040e-05 0.0e+00 56514.9390 1.0e-06 9.900e-06 8.0e-07 -3.200e-06 9.0e-07 6.29 * palfa * -2353 J1938+2213 J1938+2213 19:38:14.1 3.0e-03 +22:13:12.6 4.0e-02 * 0 * 0 * 0 53500.00 57.903 0.308 0.166116 6.0e-13 4.24e-14 5.0e-19 * 0 * 0 53500.00 91.00 3.0e+00 * 0 1.00 0 0.59 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * ar4,pksngp,palfa * -2354 J1939+10 J1939+10 19:39:11 2.0e+01 +10:45 5.0e+00 * 0 * 0 * 0 49717.00 47.993 -5.497 2.310000 3.0e-02 * 0 * 0 * 0 49717.00 90.00 8.0e+00 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.55 * misc * -2355 B1937+21 J1939+2134 19:39:38.5 2.0e-06 +21:34:59.1 4.0e-05 0.070 4.0e-03 -0.401 5.0e-03 0.220 8.0e-02 55000.00 57.509 -0.290 0.001558 5.0e-17 1.05e-19 3.0e-25 * 0 * 0 55000.00 71.02 1.3e-03 -0.001 3.0e-05 240.00 0 13.20 5.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * ar2,ar3,ar4,palfa HE[tst+01] - -2356 B1937+24 J1939+2449 19:39:05.5 1.3e-02 +24:42:55.6 2.5e-01 * 0 * 0 * 0 50679.00 60.174 1.361 0.645302 3.0e-10 1.83e-14 3.0e-18 9.300e-25 1.4e-25 * 0 50679.00 142.88 7.0e-02 * 0 3.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.11 * ar2,ar3,palfa * -2357 J1939+66 J1939+66 19:40 3.0e+00 +66:12 1.8e+01 * 0 * 0 * 0 56292.00 98.111 19.979 0.022261 5.2e-08 * 0 * 0 * 0 56292.00 41.20 1.0e-01 * 0 2.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.36 * gbncc * -2358 J1940+2245 J1940+2245 19:40:27.6 1.0e-02 +22:45:46.6 2.0e-01 * 0 * 0 * 0 56700.00 58.629 0.127 0.258912 5.0e-12 1.27e-14 1.9e-19 * 0 * 0 56700.00 222.40 1.3e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.08 * palfa * -2359 J1940+2337 J1940+2337 19:40:35.4 7.0e-03 +23:37:46.5 2.0e-01 * 0 * 0 * 0 54560.00 59.397 0.529 0.546824 7.0e-12 7.68e-14 2.0e-19 * 0 * 0 54560.00 252.10 3.0e-01 * 0 * 0 0.07 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.47 * palfa * -2360 J1940-2403 J1940-2403 19:40:30 2.0e+01 -24:03 3.0e+00 * 0 * 0 * 0 49000.00 15.848 -21.007 1.855276 3.0e-06 * 0 * 0 * 0 49000.00 63.30 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.31 * pks70 * - -2361 J1941+01 J1941+01 19:41:58 1.1e+02 +01:46 8.0e+00 * 0 * 0 * 0 57022.00 40.357 -10.398 1.404730 0 * 0 * 0 * 0 57022.00 133.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -2362 J1941+0121 J1941+0121 19:41:16.0 1.6e-02 +01:21:39.5 5.0e-01 * 0 * 0 * 0 55026.00 39.909 -10.434 0.217317 1.0e-11 1.91e-16 5.0e-19 * 0 * 0 55026.00 52.70 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * gb350 * -2363 J1941+1026 J1941+1026 19:41:32.3 8.0e-03 +10:26:25.6 3.0e-01 * 0 * 0 * 0 49079.50 48.004 -6.153 0.905394 2.0e-11 9.96e-16 8.0e-19 * 0 * 0 49079.50 138.91 2.0e-02 * 0 1.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.97 * ar3 * -2364 J1941+1341 J1941+1341 19:41:04.8 1.8e-02 +13:41:30.4 6.0e-01 * 0 * 0 * 0 53041.00 50.799 -4.468 0.559084 1.3e-11 1.24e-15 1.3e-18 * 0 * 0 53041.00 147.90 3.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.46 * pksmb * -2365 J1941+2525 J1941+2525 19:41:20.8 1.0e-02 +25:25:05.3 2.0e-01 * 0 * 0 * 0 54920.00 61.037 1.263 2.306153 2.0e-11 1.61e-13 5.0e-19 * 0 * 0 54920.00 314.40 4.0e-01 * 0 * 0 0.24 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.16 * palfa * - -2366 B1937-26 J1941-2602 19:41:00.4 1.8e-03 -26:02:05.7 1.2e-01 12.000 2.0e+00 -10.000 4.0e+00 * 0 50076.00 13.901 -21.824 0.402858 3.0e-13 9.56e-16 1.8e-21 -7.800e-27 3.0e-28 * 0 50076.00 50.04 3.0e-03 * 0 13.00 1.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * mol2,pks70,pkssw * -2367 J1941+43 J1941+43 19:42 2.0e+00 +43:23 1.8e+01 * 0 * 0 * 0 56292.00 76.890 9.884 0.840887 3.5e-05 * 0 * 0 * 0 56292.00 79.00 2.0e+00 * 0 9.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.48 * gbncc * -2368 B1939+17 J1942+1743 19:42:01.0 2.0e-02 +17:43:28.3 4.0e-01 * 0 * 0 * 0 51600.00 54.427 -2.680 0.696262 2.0e-11 1.01e-16 3.0e-18 * 0 * 0 51600.00 190.00 6.0e+00 * 0 2.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * ar1,ar3 * -2369 J1942+81 J1942+81 19:42 3.0e+00 +81:06 8.0e+00 * 0 * 0 * 0 56292.00 113.355 24.857 0.203568 4.4e-06 * 0 * 0 * 0 56292.00 40.30 5.0e-01 * 0 4.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * gbncc * -2370 J1943+0609 J1943+0609 19:43:29.1 5.0e-03 +06:09:57.6 1.0e-01 * 0 * 0 * 0 51650.00 44.465 -8.641 0.446226 3.0e-12 4.66e-16 6.0e-19 * 0 * 0 51650.00 70.76 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 * pkssw,ar4 * - -2371 B1940-12 J1943-1237 19:43:25.4 7.6e-03 -12:37:42.4 5.0e-01 * 0 * 0 * 0 48717.00 27.255 -17.158 0.972429 1.8e-12 1.66e-15 8.0e-21 -2.900e-28 1.3e-28 * 0 48717.00 28.92 1.5e-02 * 0 12.90 6.0e-01 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.20 * mol2,gb2,pks70,pkssw * -2372 J1943+2210 J1943+2210 19:43:16.4 1.0e-04 +22:10:23.1 2.0e-03 * 0 * 0 * 0 56404.00 58.439 -0.730 0.005084 6.0e-15 8.79e-21 3.0e-22 * 0 * 0 56404.00 174.09 3.0e-03 * 0 * 0 0.04 1.0e-02 ELL1 * 0 8.3115 2.0e-08 8.0641 2.0e-06 119.25 0.0e+00 2.865e-06 0.0e+00 56392.7365 7.0e-07 2.500e-06 8.0e-07 -1.400e-06 4.0e-07 6.78 * palfa * -2373 J1944+0907 J1944+0907 19:44:09.3 3.8e-06 +09:07:23.0 1.4e-04 * 0 * 0 0.500 3.0e-01 56570.00 47.160 -7.357 0.005185 1.4e-17 1.73e-20 9.0e-25 * 0 * 0 56570.00 24.36 5.0e-04 * 0 3.90 3.0e-01 2.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * ar4 * -2374 J1944-10 J1944-10 19:44 2.0e+00 -10:17 3.6e+01 * 0 * 0 * 0 56657.00 29.535 -16.289 0.409135 1.0e-06 * 0 * 0 * 0 56657.00 31.01 3.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.28 * gb350 RRAT -2375 B1941-17 J1944-1750 19:44:05.2 5.1e-02 -17:50:11 3.9e+00 * 0 * 0 * 0 49905.00 22.314 -19.426 0.841158 6.0e-12 9.86e-16 5.0e-20 1.410e-26 1.3e-27 * 0 49905.00 56.32 6.0e-02 * 0 7.50 5.0e-01 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * mol2,pks70,pkssw * - -2376 B1942+17 J1944+1755 19:44:31.8 4.0e-02 +17:55:42.4 7.0e-01 * 0 * 0 * 0 51600.00 54.902 -3.098 1.996899 1.0e-10 7.30e-16 2.0e-17 * 0 * 0 51600.00 175.00 2.0e+00 * 0 1.90 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * ar1,ar4 * -2377 J1944+2236 J1944+2236 19:44:01.0 1.1e-03 +22:36:22.6 2.0e-02 * 0 * 0 * 0 55415.00 58.900 -0.663 0.003618 7.0e-15 7.46e-21 6.0e-22 * 0 * 0 55415.00 185.45 1.2e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.60 * palfa * -2378 B1942-00 J1945-0040 19:45:28.3 2.2e-02 -00:40:58.1 1.1e+00 * 0 * 0 * 0 48103.00 38.565 -12.317 1.045632 7.0e-12 5.35e-16 4.0e-20 5.300e-29 4.0e-28 * 0 48103.00 59.71 6.0e-02 * 0 6.00 1.0e+00 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * mol2,gb2,pks70,pkssw * -2379 J1945+07 J1945+07 19:45:55 3.0e+01 +07:17 8.0e+00 * 0 * 0 * 0 56042.00 45.750 -8.631 1.073900 0 * 0 * 0 * 0 56042.00 62.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.57 * ar327 * -2380 B1943+18 J1945+1834 19:45:36.1 2.0e-02 +18:34:20.1 4.0e-01 * 0 * 0 * 0 51600.00 55.588 -2.998 1.068708 4.0e-11 2.42e-16 5.0e-18 * 0 * 0 51600.00 217.70 1.0e-01 * 0 1.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * ar1 * - -2381 J1946-1312 J1946-1312 19:46:57.8 1.0e-02 -13:12:36.4 6.0e-01 * 0 * 0 * 0 53000.00 27.079 -18.184 0.491865 6.0e-12 1.99e-15 3.0e-19 * 0 * 0 53000.00 60.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 * pkssw * -2382 J1946+14 J1946+14 19:46:52 1.2e+02 +14:42 8.0e+00 * 0 * 0 * 0 57022.00 52.373 -5.191 2.282440 0 * 0 * 0 * 0 57022.00 50.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.09 * ar327 * -2383 B1944+17 J1946+1805 19:46:53.0 6.0e-03 +18:05:41.2 1.1e-01 1.000 5.0e+00 -9.000 4.0e+00 * 0 48790.00 55.326 -3.500 0.440618 8.0e-13 2.41e-17 4.0e-21 2.000e-29 3.0e-28 * 0 48790.00 16.14 7.3e-03 * 0 40.00 5.0e+00 10.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,jb1,ar1,mol2,ar2,ar3,ar4,gb4 * -2384 B1944+22 J1946+2244 19:46:24.8 3.0e-02 +22:44:59.4 6.0e-01 * 0 * 0 * 0 42854.50 59.301 -1.070 1.334450 5.0e-11 8.89e-16 9.0e-18 * 0 * 0 42854.50 140.00 2.0e+01 * 0 3.00 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.95 * ar1,palfa * -2385 J1946+24 J1946+24 19:46:00 7.0e+00 +23:58 2.0e+00 * 0 * 0 * 0 54466.00 60.306 -0.376 4.729000 0 * 0 * 0 * 0 54466.00 96.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.30 * palfa RRAT - -2386 J1946+2535 J1946+2535 19:46:49.1 5.0e-02 +25:35:51.5 9.0e-01 * 0 * 0 * 0 54810.00 61.809 0.283 0.515167 6.0e-11 5.64e-15 5.0e-18 * 0 * 0 54810.00 248.81 4.0e-02 * 0 * 0 0.48 7.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.30 * palfa * -2387 J1946+2611 J1946+2611 19:46:45.8 8.0e-02 +26:11:49.2 9.0e-01 * 0 * 0 * 0 49079.50 62.321 0.595 0.435060 3.0e-10 2.20e-14 2.0e-17 * 0 * 0 49079.50 165.00 3.0e+00 * 0 1.50 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.56 * ar3,ar4,palfa * -2388 B1943-29 J1946-2913 19:46:51.7 8.0e-03 -29:13:47.1 5.0e-01 19.000 9.0e+00 -33.000 2.0e+01 * 0 48736.00 11.108 -24.121 0.959448 3.0e-12 1.49e-15 1.2e-20 -1.260e-27 1.8e-28 * 0 48736.00 44.31 1.5e-02 * 0 9.30 8.0e-01 0.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.12 * mol2,pks70,pkssw * -2389 J1946+3417 J1946+3417 19:46:25.1 2.0e-05 +34:17:14.6 1.4e-04 -7.010 2.3e-01 4.510 2.1e-01 * 0 56819.00 69.294 4.713 0.003170 9.0e-17 3.12e-21 4.0e-24 * 0 * 0 56819.45 111.11 5.0e-02 * 0 * 0 0.29 6.0e-02 DDH 56819.4529 1.0e-06 27.0199 5.0e-08 13.8691 5.0e-07 223.36 1.4e-05 1.345e-01 1.7e-08 * 0 * 0 * 0 6.97 * htru_eff * -2390 J1946-5403 J1946-5403 19:46:24 4.8e+01 -54:02 7.0e+00 * 0 * 0 * 0 56657.00 343.914 -29.552 0.002710 0 * 0 * 0 * 0 56657.00 23.70 0 * 0 * 0 * 0 BT * 0 0.1300 0 0.0435 0 * 0 * 0 * 0 * 0 * 0 1.15 GRS:3FGL_J1946.4-5403[aaa+15] FermiAssoc HE[ckr+15] - -2391 J1947+0915 J1947+0915 19:47:46.2 5.0e-02 +09:15:08.0 8.0e-01 * 0 * 0 * 0 51650.00 47.713 -8.073 1.480744 9.0e-11 4.78e-16 1.6e-17 * 0 * 0 51650.00 94.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pkssw * -2392 J1947+10 J1947+10 19:47:36 1.6e+01 +10:44 5.0e+00 * 0 * 0 * 0 49717.00 48.995 -7.309 1.110944 3.0e-06 * 0 * 0 * 0 49717.00 149.00 3.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.85 * ar4 * -2393 J1947+1957 J1947+1957 19:47:19.4 4.0e-03 +19:57:08.3 9.0e-02 * 0 * 0 * 0 55190.00 56.987 -2.658 0.157509 4.0e-12 5.23e-16 1.0e-19 * 0 * 0 55190.00 185.80 2.0e-01 * 0 * 0 0.08 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.78 * palfa * -2394 J1947-4215 J1947-4215 19:47:06 2.5e+01 -42:15 3.0e+00 * 0 * 0 * 0 49000.00 357.183 -27.712 1.798069 1.0e-06 * 0 * 0 * 0 49000.00 35.00 1.0e+00 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * pks70 * -2395 J1947-43 J1947-43 19:47 4.0e+00 -43:00 4.0e+01 * 0 * 0 * 0 56657.00 356.350 -27.855 0.180940 0 * 0 * 0 * 0 56657.00 29.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * ghrss * - -2396 J1948+2333 J1948+2333 19:48:19.3 3.0e-03 +23:33:03.2 5.0e-02 * 0 * 0 * 0 56050.00 60.214 -1.045 0.528352 1.6e-12 1.36e-14 4.0e-20 * 0 * 0 56050.00 198.20 8.0e-01 * 0 * 0 0.28 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.05 * palfa * -2397 J1948+2551 J1948+2551 19:48:17.5 1.0e-03 +25:51:51.9 2.0e-02 * 0 * 0 * 0 54930.00 62.207 0.131 0.196627 4.0e-13 9.02e-15 2.0e-20 * 0 * 0 54930.00 289.27 5.0e-02 * 0 * 0 0.62 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.70 * palfa * -2398 B1946+35 J1948+3540 19:48:25.0 1.0e-03 +35:40:11.0 1.5e-02 -12.600 6.0e-01 0.700 6.0e-01 * 0 49449.00 70.702 5.047 0.717311 4.0e-12 7.06e-15 3.0e-20 7.900e-27 8.0e-28 * 0 49449.00 129.37 7.8e-04 * 0 145.00 9.0e+00 8.30 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.65 * jb1,gb1,gb2,ar4,gb4,gbncc * -2399 J1949+2306 J1949+2306 19:49:07.3 1.0e-02 +23:06:55.5 2.0e-01 * 0 * 0 * 0 54910.00 59.931 -1.423 1.319373 1.0e-11 1.23e-16 3.0e-19 * 0 * 0 54910.00 196.30 5.0e-01 * 0 * 0 0.10 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.11 * palfa * -2400 B1946-25 J1949-2524 19:49:25.4 3.1e-02 -25:24:01 2.1e+00 * 0 * 0 * 0 48106.00 15.260 -23.380 0.957617 4.0e-12 3.27e-15 1.6e-20 2.100e-28 2.3e-28 * 0 48106.00 23.07 3.0e-02 * 0 5.20 6.0e-01 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * mol2,pks70 * - -2401 J1949+3106 J1949+3106 19:49:29.6 1.0e-05 +31:06:03.8 3.0e-04 -2.940 6.0e-02 -5.170 8.0e-02 * 0 54500.00 66.858 2.554 0.013138 6.0e-16 9.39e-20 6.0e-24 * 0 * 0 54500.00 164.13 5.0e-04 * 0 * 0 0.23 5.0e-02 DDH 54390.2700 1.0e-03 1.9495 2.0e-06 7.2886 1.0e-06 207.50 2.0e-01 4.306e-05 7.0e-08 * 0 * 0 * 0 7.47 * palfa * -2402 J1950+05 J1950+05 19:50:58 1.6e+01 +05:35 5.0e+00 * 0 * 0 * 0 49717.00 44.857 -10.552 0.455934 3.0e-06 * 0 * 0 * 0 49717.00 71.00 1.4e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.94 * ar4 * -2403 J1950+2414 J1950+2414 19:50:45.0 1.0e-04 +24:14:56.9 1.1e-03 * 0 * 0 * 0 55839.00 61.098 -1.169 0.004305 3.0e-15 1.89e-20 1.2e-22 * 0 * 0 55839.00 142.09 1.8e-02 * 0 * 0 0.12 1.3e-02 BT 55846.0226 1.5e-06 22.1914 1.0e-06 14.2200 1.1e-06 274.42 3.0e-04 7.981e-02 1.2e-07 * 0 * 0 * 0 7.27 * palfa * -2404 J1951+1123 J1951+1123 19:51:08.2 2.0e-02 +11:23:25.2 7.0e-01 * 0 * 0 * 0 49079.50 50.003 -7.738 5.094083 2.0e-10 3.03e-15 8.0e-18 * 0 * 0 49079.50 31.29 9.0e-02 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.51 * ar3,ar4 * -2405 B1949+14 J1952+1410 19:52:06.1 2.6e-02 +14:07:29.4 6.0e-01 * 0 * 0 * 0 50110.00 52.509 -6.576 0.275026 4.0e-12 1.28e-16 4.0e-20 -2.400e-29 9.0e-27 * 0 50110.00 31.51 4.7e-03 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * ar2 * - -2406 J1952+2630 J1952+2630 19:52:36.8 1.0e-04 +26:30:28.0 2.0e-03 -6.000 2.0e+00 0.000 3.0e+00 * 0 55813.00 63.254 -0.376 0.020732 4.0e-15 4.27e-18 3.0e-22 * 0 * 0 55813.00 315.34 2.0e-03 * 0 * 0 0.09 1.5e-02 ELL1 * 0 0.3919 7.0e-11 2.7982 2.0e-06 291.54 0.0e+00 4.085e-05 0.0e+00 55812.8972 4.0e-08 -3.800e-05 1.0e-06 1.500e-05 1.0e-06 10.04 * palfa * -2407 B1951+32 J1952+3252 19:52:58.2 1.0e-03 +32:52:40.5 1.0e-02 -28.800 9.0e-01 -14.700 9.0e-01 * 0 52793.00 68.765 2.823 0.039531 1.1e-12 5.84e-15 8.0e-21 1.462e-23 1.1e-25 * 0 49845.00 45.01 1.9e-02 * 0 7.00 1.0e+00 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 SNR:CTB80,GRS:2FGL_J1953.0+3253[naa+12] misc HE[sof95,aaa+10m] -2408 J1953+1149 J1953+1149 19:53:47.4 3.0e-02 +11:49:42.6 5.0e-01 * 0 * 0 * 0 49079.50 50.714 -8.083 0.851890 2.0e-10 2.86e-15 1.5e-17 * 0 * 0 49079.50 140.03 3.0e-02 * 0 2.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.51 * ar3,ar4 * -2409 J1953+1846A J1953+1846A 19:53:46 0 +18:46:42 0 * 0 * 0 * 0 53735.00 56.744 -4.563 0.004888 1.0e-06 * 0 * 0 * 0 53735.00 117.00 1.0e+00 * 0 * 0 0.06 0 BT * 0 0.1767 4.0e-04 0.0782 1.0e-04 * 0 * 0 * 0 * 0 * 0 6.00 GC:M71 misc * -2410 J1953+2732 J1953+2732 19:53:07.8 2.0e-02 +27:32:48.2 4.0e-01 * 0 * 0 * 0 54570.00 64.205 0.059 1.333965 2.0e-11 1.77e-15 1.0e-18 * 0 * 0 54570.00 195.40 9.0e-01 * 0 * 0 0.10 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.60 * palfa * - -2411 J1953+67 J1953+67 19:53 3.0e+00 +67:02 1.8e+01 * 0 * 0 * 0 56292.00 99.467 19.128 0.008565 1.8e-08 * 0 * 0 * 0 56292.00 57.20 1.0e-01 * 0 1.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.44 * gbncc * -2412 J1954+2407 J1954+2407 19:54:00.3 3.0e-03 +24:07:14.0 4.0e-02 * 0 * 0 * 0 56700.00 61.367 -1.872 0.193405 1.5e-12 1.06e-15 7.0e-20 * 0 * 0 56700.00 80.50 4.0e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * palfa * -2413 J1954+2836 J1954+2836 19:54:19.1 4.0e-02 +28:36:06 1.0e+00 * 0 * 0 * 0 54800.00 65.244 0.377 0.092709 3.0e-10 2.12e-14 4.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.96 GRS:2FGL_J1954.3+2836[naa+12] FermiBlind NRAD -2414 B1952+29 J1954+2923 19:54:22.5 2.0e-03 +29:23:17.2 4.0e-02 25.000 1.7e+01 -36.000 1.0e+01 * 0 48719.00 65.924 0.772 0.426677 4.0e-13 1.71e-18 3.0e-21 -2.800e-28 1.5e-28 * 0 48719.00 7.93 7.0e-03 * 0 6.60 0 8.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * jb1,jb2,gb3,palfa * -2415 J1954+43 J1954+43 19:55 2.0e+00 +43:50 1.8e+01 * 0 * 0 * 0 56292.00 78.449 8.049 1.386961 9.4e-05 * 0 * 0 * 0 56292.00 130.00 3.0e+00 * 0 2.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.95 * gbncc * - -2416 J1955+2527 J1955+2527 19:55:59.3 7.0e-05 +25:27:03.4 2.0e-03 -1.900 6.0e-01 -2.400 8.0e-01 * 0 54800.00 62.740 -1.571 0.004873 1.7e-15 9.12e-21 1.0e-22 * 0 * 0 54800.00 209.97 3.0e-03 * 0 * 0 0.28 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.18 * palfa * -2417 B1953+29 J1955+2908 19:55:27.8 9.9e-06 +29:08:43.4 2.1e-04 * 0 * 0 * 0 56568.00 65.839 0.443 0.006133 6.0e-17 2.97e-20 3.0e-24 * 0 * 0 56568.00 104.52 6.0e-04 * 0 15.00 0 1.10 2.0e-01 DD 56556.5485 1.0e-03 117.3491 6.0e-08 31.4127 4.0e-07 29.48 4.0e-03 3.302e-04 1.8e-08 * 0 * 0 * 0 6.30 * misc * -2418 B1953+50 J1955+5059 19:55:18.7 1.3e-03 +50:59:55.2 1.3e-02 -23.000 5.0e+00 54.000 5.0e+00 * 0 48741.00 84.793 11.553 0.518938 5.0e-13 1.37e-15 4.0e-21 -9.820e-27 1.8e-28 * 0 48741.00 31.98 1.3e-04 * 0 26.00 3.0e+00 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * gb1,gb2,gb4 * -2419 J1956+07 J1956+07 19:56:35 1.2e+02 +07:16 8.0e+00 * 0 * 0 * 0 57022.00 47.046 -10.947 5.012480 0 * 0 * 0 * 0 57022.00 61.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * ar327 * -2420 J1956+0838 J1956+0838 19:56:52.2 2.0e-02 +08:38:16.8 4.0e-01 * 0 * 0 * 0 51650.00 48.295 -10.331 0.303911 7.0e-12 2.20e-16 1.3e-18 * 0 * 0 51650.00 67.09 2.4e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.54 * pkssw * - -2421 J1956-28 J1956-28 19:56 2.0e+00 -27:53 3.6e+01 * 0 * 0 * 0 56657.00 13.222 -25.591 0.260014 6.0e-07 * 0 * 0 * 0 56657.00 45.69 1.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.73 * gbncc RRAT -2422 J1957+2516 J1957+2516 19:57:34.6 3.0e-04 +25:16:02.0 3.0e-03 * 0 * 0 * 0 56408.00 62.769 -1.973 0.003962 1.0e-15 2.74e-20 9.0e-23 * 0 * 0 56408.00 44.14 3.0e-03 * 0 * 0 0.02 0 ELL1 * 0 0.2381 7.0e-10 0.2833 6.0e-06 45.00 0.0e+00 2.828e-05 0.0e+00 56407.8681 6.0e-07 2.000e-05 3.0e-05 2.000e-05 2.0e-05 2.66 * palfa * -2423 J1957+2831 J1957+2831 19:57:19.3 7.7e-03 +28:31:43.8 1.4e-01 * 0 * 0 * 0 51429.00 65.524 -0.225 0.307683 1.7e-12 3.11e-15 3.0e-20 -7.300e-26 1.2e-26 * 0 51429.00 138.99 8.0e-02 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.89 SNR:G65.1+0.6(?)[tl06] misc,palfa * -2424 J1957+5033 J1957+5033 19:57:38.9 8.0e-01 +50:33:18 9.0e+00 * 0 * 0 * 0 54800.00 84.584 11.013 0.374806 3.0e-10 7.08e-15 5.0e-17 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 GRS:2FGL_J1957.9+5033[naa+12] FermiBlind NRAD -2425 J1958+2846 J1958+2846 19:58:40.0 3.0e-02 +28:45:54 1.0e+00 * 0 * 0 * 0 54800.00 65.879 -0.353 0.290389 5.0e-11 2.12e-13 1.7e-17 3.000e-23 2.0e-23 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.95 GRS:2FGL_J1958.6+2845[naa+12] FermiBlind NRAD - -2426 B1957+20 J1959+2048 19:59:36.7 5.0e-05 +20:48:15.1 6.0e-04 -16.000 5.0e-01 -25.800 6.0e-01 * 0 48196.00 59.197 -4.697 0.001607 3.0e-17 1.69e-20 9.0e-25 5.500e-26 1.5e-26 * 0 48196.00 29.12 7.0e-04 * 0 20.00 0 0.40 2.0e-01 BT 48196.0635 6.0e-07 0.3820 8.0e-10 0.0892 6.0e-07 * 0 0.000e+00 4.0e-05 * 0 * 0 * 0 1.73 XRS:[hb07a],GRS:2FGL_J1959.5+2047[naa+12 ar3 HE[aaa+10g] -2427 J1959+3620 J1959+3620 19:59:38.0 2.0e-02 +36:20:29.1 3.0e-01 * 0 * 0 * 0 56100.00 72.444 3.442 0.406081 1.0e-11 3.60e-17 1.0e-18 * 0 * 0 56100.00 273.00 0 * 0 * 0 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.89 * htru_eff * -2428 J2001+42 J2001+42 20:02 3.0e+00 +42:43 1.8e+01 * 0 * 0 * 0 56292.00 78.140 6.383 0.719161 2.2e-05 * 0 * 0 * 0 56292.00 55.00 1.0e+00 * 0 20.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * gbncc * -2429 J2002+1637 J2002+1637 20:02:47.7 7.0e-02 +16:37:16.7 1.1e+00 * 0 * 0 * 0 49079.50 55.998 -7.517 0.276497 1.8e-10 2.25e-16 1.2e-17 * 0 * 0 49079.50 94.58 4.8e-02 * 0 0.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.90 * ar3,ar4 * -2430 J2002+30 J2002+30 20:02:58 1.6e+01 +30:35 5.0e+00 * 0 * 0 * 0 49717.00 67.917 -0.187 0.421794 3.0e-06 * 0 * 0 * 0 49717.00 196.00 3.8e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.09 * ar4,palfa * - -2431 B2000+32 J2002+3217 20:02:04.4 9.2e-03 +32:17:18.3 1.4e-01 * 0 * 0 * 0 49444.00 69.261 0.879 0.696761 3.0e-10 1.05e-13 3.0e-18 -8.700e-25 8.0e-26 * 0 49444.00 142.21 3.0e-02 * 0 5.50 5.0e-01 1.20 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.46 * jb2,palfa * -2432 B2000+40 J2002+4050 20:02:44.0 2.9e-03 +40:50:53.9 3.3e-02 * 0 * 0 * 0 49887.00 76.611 5.288 0.905067 1.0e-12 1.74e-15 8.0e-21 -2.180e-27 2.0e-28 * 0 49887.00 131.49 4.1e-02 * 0 53.00 7.0e+00 4.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * gb3,gbncc * -2433 J2004+2653 J2004+2653 20:04:59.0 4.0e-02 +26:53:40.4 6.0e-01 * 0 * 0 * 0 56700.00 65.030 -2.527 0.665879 4.0e-11 5.67e-17 1.2e-18 * 0 * 0 56700.00 160.00 4.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * palfa * -2434 B2002+31 J2004+3137 20:04:52.2 2.8e-03 +31:37:10.0 4.6e-02 * 0 * 0 * 0 49723.00 69.011 0.021 2.111265 4.0e-11 7.46e-14 3.0e-19 -1.100e-27 1.2e-27 * 0 49723.00 234.82 8.0e-03 * 0 14.50 9.0e-01 1.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * jb1,jb2,gb3,palfa * -2435 J2004+3429 J2004+3429 20:04:46.9 3.0e-02 +34:29:17.7 5.0e-01 * 0 * 0 * 0 56100.00 71.425 1.571 0.240953 1.0e-11 2.07e-13 4.0e-18 * 0 * 0 56100.00 351.00 0 * 0 * 0 0.11 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.78 * htru_eff * - -2436 J2005-0020 J2005-0020 20:05:43.7 3.7e-02 -00:20:21.9 1.4e+00 * 0 * 0 * 0 50852.00 41.331 -16.629 2.279661 4.0e-11 2.57e-14 6.0e-19 7.800e-28 5.0e-27 * 0 50852.00 35.93 1.7e-01 * 0 8.00 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.83 * pks70 * -2437 J2005+3547 J2005+3547 20:05:17.4 9.0e-03 +35:47:25.4 1.0e-01 * 0 * 0 * 0 54540.00 72.581 2.180 0.615034 4.0e-12 2.81e-16 3.0e-19 * 0 * 0 54540.00 401.60 3.0e-01 * 0 * 0 0.25 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.56 * palfa * -2438 J2005+3552 J2005+3552 20:05:47.5 6.0e-02 +35:52:24.3 1.0e-01 * 0 * 0 * 0 56100.00 72.706 2.139 0.307943 2.0e-11 2.99e-15 1.0e-17 * 0 * 0 56100.00 455.00 0 * 0 * 0 0.21 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.65 * htru_eff * -2439 B2003-08 J2006-0807 20:06:16.3 1.2e-02 -08:07:01.9 5.6e-01 * 0 * 0 * 0 49766.00 34.101 -20.304 0.580871 3.0e-12 4.60e-17 3.0e-20 -4.800e-27 1.5e-27 * 0 49766.00 32.39 3.0e-02 * 0 20.00 3.0e+00 2.80 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.71 * mol2,pkssw * -2440 J2006+3102 J2006+3102 20:06:11.0 3.0e-01 +31:02:03 4.0e+00 * 0 * 0 * 0 54800.00 68.667 -0.530 0.163695 9.0e-11 2.49e-14 9.0e-18 * 0 * 0 54800.00 107.16 1.0e-02 * 0 * 0 0.27 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * palfa * - -2441 J2007+0809 J2007+0809 20:07:13.5 1.0e-01 +08:09:33 2.0e+00 * 0 * 0 * 0 51650.00 49.180 -12.787 0.325724 5.0e-11 1.37e-16 7.0e-18 * 0 * 0 51650.00 53.39 3.7e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.04 * pkssw * -2442 J2007+0910 J2007+0910 20:07:58.1 1.2e-03 +09:10:12.9 6.0e-02 * 0 * 0 * 0 52994.00 50.169 -12.433 0.458735 6.0e-13 3.32e-16 1.2e-19 * 0 * 0 52994.00 48.73 6.7e-04 * 0 1.51 5.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * ar4 * -2443 J2007+20 J2007+20 20:07 2.0e+00 +20:21 3.6e+01 * 0 * 0 * 0 56657.00 59.722 -6.407 4.634000 7.0e-03 * 0 * 0 * 0 56657.00 67.00 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * gb350 RRAT -2444 J2007+2722 J2007+2722 20:07:15.8 4.0e-04 +27:22:47.9 6.0e-03 * 0 * 0 * 0 55319.00 65.713 -2.695 0.024497 1.0e-14 9.61e-19 3.0e-22 * 0 * 0 55319.00 127.00 4.0e-01 * 0 * 0 2.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * palfa * -2445 J2007+3120 J2007+3120 20:07:09.0 6.0e-03 +31:20:51.5 9.0e-02 * 0 * 0 * 0 54920.00 69.042 -0.535 0.608205 1.0e-11 1.56e-14 1.0e-18 * 0 * 0 54920.00 191.50 2.0e-01 * 0 * 0 0.12 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * palfa * - -2446 J2008+2513 J2008+2513 20:08:35.4 1.1e-02 +25:13:30.3 1.6e-01 * 0 * 0 * 0 49079.50 64.055 -4.107 0.589196 6.0e-11 5.40e-15 4.0e-18 * 0 * 0 49079.50 60.56 3.6e-03 * 0 2.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.03 * ar3 * -2447 J2009+3326 J2009+3326 20:09:49.1 2.0e-02 +33:26:10.2 3.0e-01 * 0 * 0 * 0 54430.00 71.103 0.124 1.438369 2.0e-11 1.47e-15 2.0e-18 * 0 * 0 54430.00 263.60 8.0e-01 * 0 * 0 0.15 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.30 * palfa * -2448 J2010-1323 J2010-1323 20:10:45.9 5.8e-06 -13:23:56.0 3.5e-04 * 0 * 0 0.350 1.5e-01 56235.00 29.446 -23.540 0.005223 9.0e-18 4.82e-21 3.0e-25 * 0 * 0 56235.00 22.18 5.0e-03 * 0 * 0 1.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.16 * pkssw * -2449 J2010+2845 J2010+2845 20:10:05.0 2.0e-03 +28:45:29.1 3.0e-02 * 0 * 0 * 0 54810.00 67.210 -2.472 0.565369 6.0e-13 9.07e-17 2.0e-20 * 0 * 0 54810.00 112.47 8.0e-02 * 0 * 0 0.43 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.58 * palfa * -2450 J2010+3230 J2010+3230 20:10:26.5 1.0e-02 +32:30:07.3 2.0e-01 * 0 * 0 * 0 54430.00 70.391 -0.495 1.442448 1.0e-11 3.62e-15 1.0e-18 * 0 * 0 54430.00 371.80 5.0e-01 * 0 * 0 0.12 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.02 * palfa * - -2451 J2011+3331 J2011+3331 20:11:04.9 2.0e-03 +33:31:24.6 3.0e-02 * 0 * 0 * 0 54490.00 71.320 -0.049 0.931733 4.0e-12 1.79e-15 1.0e-19 * 0 * 0 54490.00 298.58 6.0e-02 * 0 * 0 0.38 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.60 * palfa * -2452 J2012-2029 J2012-2029 20:12:46.6 3.0e-01 -20:29:31 2.2e+01 * 0 * 0 * 0 54987.00 22.410 -26.701 0.544002 3.0e-11 5.48e-16 1.8e-18 * 0 * 0 54987.00 37.67 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.81 * gb350 * -2453 J2013-0649 J2013-0649 20:13:17.7 3.8e-03 -06:49:05.3 3.2e-01 * 0 * 0 * 0 55172.00 36.171 -21.291 0.580187 3.4e-12 6.01e-16 2.4e-18 * 0 * 0 55172.00 63.36 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.57 * gb350 * -2454 J2013+3058 J2013+3058 20:13:34.2 3.0e-03 +30:58:50.6 5.0e-02 * 0 * 0 * 0 54600.00 69.485 -1.886 0.276028 5.0e-13 1.52e-16 4.0e-20 * 0 * 0 54600.00 148.70 1.0e-01 * 0 * 0 0.07 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * palfa * -2455 B2011+38 J2013+3845 20:13:10.3 3.0e-03 +38:45:43.3 4.0e-02 -32.100 1.7e+00 -25.000 2.0e+00 * 0 49718.00 75.930 2.476 0.230194 1.0e-12 8.85e-15 8.0e-21 2.600e-26 3.0e-27 * 0 49718.00 238.22 8.0e-03 * 0 26.00 1.0e+00 6.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.13 * gb3 * - -2456 J2015+2524 J2015+2524 20:15:12.7 7.0e-02 +25:24:31.3 1.0e+00 * 0 * 0 * 0 49079.50 65.027 -5.261 2.303299 9.0e-10 5.10e-16 5.0e-17 * 0 * 0 49079.50 13.00 3.0e+00 * 0 0.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 * ar3 * -2457 J2016+1948 J2016+1948 20:16:57.4 6.0e-05 +19:47:51.5 1.2e-03 1.280 2.6e-01 2.830 3.4e-01 * 0 53000.00 60.522 -8.675 0.064940 6.0e-15 4.01e-19 6.0e-23 * 0 * 0 53000.00 33.81 1.6e-03 -0.001 1.2e-04 3.30 0 * 0 BT 52818.6480 1.0e-03 635.0238 7.0e-08 150.7730 2.0e-06 95.64 7.0e-04 1.480e-03 2.0e-08 * 0 * 0 * 0 2.16 * misc * -2458 J2017+0603 J2017+0603 20:17:22.7 4.7e-06 +06:03:05.5 1.7e-04 * 0 * 0 0.400 3.0e-01 56682.00 48.621 -16.026 0.002896 1.1e-17 7.99e-21 7.0e-25 * 0 * 0 56682.00 23.92 9.0e-05 * 0 * 0 0.50 2.0e-01 ELL1 * 0 2.1985 1.2e-10 2.1929 1.7e-06 180.19 0.0e+00 7.060e-06 0.0e+00 56682.1100 3.0e-08 -2.300e-08 4.0e-07 -7.060e-06 9.0e-08 1.40 GRS:2FGL_J2017.3+0603[naa+12],XRS:[pb15] misc HE -2459 J2017+2043 J2017+2043 20:17:28.9 2.0e-03 +20:43:31.9 3.0e-02 * 0 * 0 * 0 51500.00 61.376 -8.271 0.537143 2.0e-12 9.96e-16 5.0e-20 * 0 * 0 51500.00 60.49 9.9e-03 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.21 * misc * -2460 J2017+3625 J2017+3625 20:17:55.8 1.0e-02 +36:25:07.9 2.0e-01 * 0 * 0 * 0 55716.00 74.507 0.390 0.166749 9.0e-13 1.36e-15 3.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J2017.9+3627[aaa+15] FermiBlind NRAD - -2461 J2017+59 J2017+59 20:18 3.0e+00 +59:13 1.8e+01 * 0 * 0 * 0 56292.00 93.716 12.930 0.403619 1.2e-05 * 0 * 0 * 0 56292.00 61.00 3.0e+00 * 0 1.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * gbncc * -2462 B2016+28 J2018+2839 20:18:03.8 9.0e-04 +28:39:54.2 1.6e-02 -2.600 2.0e-01 -6.200 4.0e-01 1.030 1.0e-01 46384.00 68.099 -3.983 0.557953 7.0e-13 1.48e-16 1.6e-21 4.860e-27 5.0e-29 * 0 46384.00 14.20 6.0e-04 * 0 314.00 3.0e+01 30.00 1.3e+01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * misc,jb1,gb1,gb3,gb4 * -2463 J2018+3431 J2018+3431 20:18:53.1 2.0e-03 +34:31:00.5 2.0e-02 * 0 * 0 * 0 54760.00 73.044 -0.841 0.387664 8.0e-13 1.84e-15 2.0e-20 * 0 * 0 54760.00 222.35 7.0e-02 * 0 * 0 0.24 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * palfa * -2464 J2019+2425 J2019+2425 20:19:31.9 3.0e-05 +24:25:15.3 5.0e-04 -9.410 1.2e-01 -20.600 1.5e-01 * 0 48900.00 64.746 -6.624 0.003935 1.1e-16 7.02e-21 1.2e-24 * 0 * 0 50000.00 17.20 5.0e-03 * 0 * 0 * 0 BT 50054.6439 4.0e-03 76.5116 2.0e-08 38.7676 8.0e-07 159.03 2.0e-02 1.111e-04 4.0e-08 * 0 * 0 * 0 1.16 * ar3 * -2465 J2021+3651 J2021+3651 20:21:05.4 4.0e-02 +36:51:04.8 5.0e-01 * 0 * 0 * 0 52682.00 75.222 0.111 0.103741 4.0e-12 9.57e-14 7.0e-19 1.090e-21 5.0e-23 * 0 54710.00 367.50 1.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 GRS:AGL_J2020.5+3653[hcg+08],GRS:2FGL_J2 misc HE[aaa+09d] - -2466 J2021+4026 J2021+4026 20:21:29.9 3.0e-02 +40:26:45.1 7.0e-01 * 0 * 0 * 0 54936.00 78.225 2.089 0.265318 5.0e-11 5.47e-14 3.0e-18 3.900e-22 2.0e-23 * 0 54936.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 GRS:2FGL_J2021.5+4026[naa+12],SNR:G78.2+ FermiBlind NRAD -2467 B2020+28 J2022+2854 20:22:37.0 7.0e-04 +28:54:23.1 1.1e-02 -4.400 5.0e-01 -23.600 3.0e-01 0.370 1.2e-01 49692.00 68.863 -4.671 0.343402 1.3e-12 1.89e-15 1.3e-20 2.400e-26 1.8e-27 * 0 49692.00 24.63 1.8e-04 * 0 71.00 7.0e+00 38.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * misc,jb1,gb1,gb3,gb4 * -2468 J2022+3842 J2022+3842 20:22:21.6 6.0e-03 +38:42:14.8 7.0e-02 * 0 * 0 * 0 55666.24 76.888 0.960 0.048579 2.4e-11 8.61e-14 2.0e-16 * 0 * 0 55666.24 429.10 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.00 XRS:CXOU_J202221.68+384214.8,SNR:G76.9+1 misc HE -2469 B2021+51 J2022+5154 20:22:49.8 1.2e-03 +51:54:50.2 1.1e-02 -5.230 1.7e-01 11.500 3.0e-01 0.500 7.0e-02 46640.00 87.862 8.380 0.529197 1.7e-11 3.06e-15 5.0e-20 -2.270e-26 1.6e-27 * 0 46640.00 22.55 5.6e-04 * 0 77.00 1.2e+01 27.00 9.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * jb1,gb1,gb2,gb3,gb4 * -2470 B2022+50 J2023+5037 20:23:41.9 1.0e-03 +50:37:34.8 1.0e-02 * 0 * 0 * 0 49910.00 86.863 7.544 0.372619 3.0e-12 2.51e-15 1.7e-20 3.500e-26 3.0e-27 * 0 49910.00 32.99 3.7e-04 * 0 6.50 7.0e-01 2.20 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.06 * gb2 * - -2471 J2024+48 J2024+48 20:24 0 +48 0 * 0 * 0 * 0 54100.00 84.710 6.017 1.262000 0 * 0 * 0 * 0 54100.00 99.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.55 * gb350 * -2472 B2025+21 J2027+2146 20:27:16.6 3.0e-03 +21:46:04.4 5.0e-02 * 0 * 0 * 0 51600.00 63.538 -9.587 0.398173 2.0e-12 2.03e-16 2.0e-19 * 0 * 0 51600.00 97.09 4.8e-03 * 0 0.70 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.30 * ar1 * -2473 J2027+4557 J2027+4557 20:27:16.2 3.0e-03 +45:57:57.0 4.0e-02 * 0 * 0 * 0 54250.00 83.358 4.394 1.099651 7.0e-12 3.09e-16 4.0e-19 * 0 * 0 54250.00 229.59 1.1e-02 * 0 14.20 0 1.34 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.00 * gb350,misc,gbncc * -2474 J2027+74 J2027+74 20:28 5.0e+00 +74:47 1.8e+01 * 0 * 0 * 0 56292.00 108.151 20.149 0.515229 1.4e-05 * 0 * 0 * 0 56292.00 11.00 3.0e+00 * 0 2.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.71 * gbncc * -2475 J2028+3332 J2028+3332 20:28:19.8 5.0e-03 +33:32:04.3 7.0e-02 * 0 * 0 * 0 55225.00 73.361 -3.008 0.176707 7.0e-13 4.86e-15 7.0e-20 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2028.3+3332[naa+12] FermiBlind NRAD - -2476 B2027+37 J2029+3744 20:29:23.8 9.5e-03 +37:44:08.1 1.4e-01 * 0 * 0 * 0 49725.00 76.898 -0.727 1.216805 1.2e-11 1.23e-14 9.0e-20 -6.340e-26 1.3e-27 * 0 49725.00 190.66 3.0e-02 * 0 18.00 2.0e+00 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.77 * gb3,gbncc * -2477 B2028+22 J2030+2228 20:30:40.4 8.2e-03 +22:28:21.8 1.4e-01 * 0 * 0 * 0 49953.00 64.580 -9.833 0.630513 4.0e-12 8.85e-16 3.0e-20 1.700e-26 1.4e-27 * 0 49953.00 71.86 6.7e-03 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * ar1,ar2 * -2478 J2030+3641 J2030+3641 20:30:00.2 4.0e-03 +36:41:27.1 7.0e-02 * 0 * 0 * 0 55400.00 76.123 -1.438 0.200129 1.7e-12 6.50e-15 3.0e-19 2.200e-24 6.0e-25 * 0 55400.00 246.00 7.0e-01 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.95 GRS:2FGL_J2030.0+3640[naa+12] FermiAssoc HE -2479 J2030+4415 J2030+4415 20:30:51.3 4.0e-02 +44:15:38.1 4.0e-01 * 0 * 0 * 0 55225.00 82.340 2.885 0.227070 3.0e-11 6.48e-15 1.1e-18 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2030.7+4417[naa+12] FermiBlind NRAD -2480 J2030+55 J2030+55 20:30 0 +55 0 * 0 * 0 * 0 54100.00 91.047 9.247 0.579000 0 * 0 * 0 * 0 54100.00 60.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * gb350 * - -2481 J2032+4127 J2032+4127 20:32:13.1 2.0e-03 +41:27:24.3 9.0e-02 * 0 * 0 * 0 55700.00 80.224 1.028 0.143246 1.9e-07 1.13e-14 3.0e-16 * 0 * 0 55700.00 114.67 4.0e-02 -0.010 1.0e-02 * 0 * 0 BT 58061.0000 9.0e+00 16835.0000 8.4e+02 13580.0000 6.5e+03 34.00 1.8e+01 9.640e-01 3.0e-02 * 0 * 0 * 0 1.33 OPT:MT91_213,Cygnus_OB2[lsk+15],XRS:[hnl FermiBlind HE -2482 J2033+0042 J2033+0042 20:33:31.1 1.2e-01 +00:42:22.0 8.0e+00 * 0 * 0 * 0 55172.00 45.876 -22.196 5.013398 9.0e-10 1.01e-14 7.8e-16 * 0 * 0 55172.00 37.84 1.3e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.93 * pkssw,gb350 RRAT -2483 J2033+1734 J2033+1734 20:33:27.5 1.7e-05 +17:34:58.4 3.2e-04 * 0 * 0 * 0 56945.00 60.857 -13.154 0.005949 1.8e-16 1.11e-20 1.5e-23 * 0 * 0 56945.00 25.08 9.0e-04 * 0 3.00 0 * 0 DD 56972.9240 3.0e-03 56.3078 7.0e-08 20.1631 4.0e-07 78.19 1.6e-02 1.287e-04 5.0e-08 * 0 * 0 * 0 1.74 * ar4 * -2484 J2033-1938 J2033-1938 20:33:55.4 2.0e-01 -19:38:59 1.2e+01 * 0 * 0 * 0 54987.00 25.313 -31.049 1.281719 1.2e-10 4.55e-16 6.0e-18 * 0 * 0 54987.00 23.47 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * gb350 * -2485 J2036+2835 J2036+2835 20:36:46.3 5.0e-03 +28:35:10.4 7.0e-02 * 0 * 0 * 0 56100.00 70.413 -7.382 1.358727 2.0e-11 2.09e-15 2.0e-18 * 0 * 0 56100.00 84.22 6.4e-03 * 0 * 0 0.15 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.74 * htru_eff * - -2486 B2034+19 J2037+1942 20:37:14.5 8.0e-02 +19:42:54.3 9.0e-01 * 0 * 0 * 0 46104.69 63.177 -12.672 2.074377 5.0e-10 2.04e-15 1.0e-17 * 0 * 0 46104.69 36.89 4.8e-05 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.79 * gb3 * -2487 B2035+36 J2037+3621 20:37:27.4 2.3e-02 +36:21:24.1 2.6e-01 * 0 * 0 * 0 49936.00 76.746 -2.840 0.618715 5.0e-11 4.50e-15 4.0e-19 -2.940e-25 2.0e-26 * 0 49936.00 93.56 6.0e-02 * 0 6.00 1.0e+00 0.80 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * gb2,gbncc * -2488 J2038+35 J2038+35 20:38 0 +35 0 * 0 * 0 * 0 54100.00 75.730 -3.747 0.160000 0 * 0 * 0 * 0 54100.00 58.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.82 * gb350 * -2489 J2038-3816 J2038-3816 20:38:54.1 3.0e-02 -38:16:11.9 1.0e+00 * 0 * 0 * 0 49486.61 3.855 -36.740 1.577286 3.0e-10 4.13e-15 4.0e-18 * 0 * 0 49486.61 33.96 6.0e-02 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.59 * pks70 * -2490 B2036+53 J2038+5319 20:38:03.1 6.9e-02 +53:19:12.8 5.8e-01 * 0 * 0 * 0 50122.00 90.368 7.308 1.424568 1.1e-11 9.44e-16 9.0e-20 9.600e-28 8.6e-28 * 0 50122.00 160.20 1.2e-02 * 0 3.10 4.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.19 * gb2 * - -2491 J2040+1657 J2040+1657 20:40:17.8 3.0e-03 +16:57:30.4 7.0e-02 * 0 * 0 * 0 51602.00 61.286 -14.852 0.865606 4.0e-12 5.95e-16 6.0e-19 * 0 * 0 51602.00 50.69 1.4e-03 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.45 * ar4 * -2492 J2043+1711 J2043+1711 20:43:20.8 1.4e-06 +17:11:28.9 3.5e-05 * 0 * 0 0.640 8.0e-02 56573.00 61.919 -15.313 0.002380 3.0e-18 5.24e-21 1.2e-25 * 0 * 0 56573.00 20.76 1.4e-02 * 0 0.80 0 * 0 ELL1 * 0 1.4823 1.5e-11 1.6240 1.5e-07 236.73 0.0e+00 4.868e-06 0.0e+00 56573.0425 5.0e-09 -4.070e-06 7.0e-08 -2.670e-06 5.0e-08 1.56 GRS:2FGL_J2043.2+1711[naa+12] FermiAssoc HE -2493 J2043+2740 J2043+2740 20:43:43.5 1.0e-01 +27:40:56 1.0e+00 * 0 * 0 * 0 49773.00 70.612 -9.151 0.096131 5.0e-11 1.27e-15 1.0e-17 * 0 * 0 49773.00 21.02 1.5e-04 * 0 15.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 GRS:2FGL_J2043.7+2743[naa+12] ar4 HE[naa+11] -2494 J2043+7045 J2043+7045 20:43 0 +70:45 0 * 0 * 0 * 0 54100.00 105.186 17.052 0.588000 0 * 0 * 0 * 0 54100.00 57.00 0 * 0 63.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * gb350,gbncc * -2495 J2044+4614 J2044+4614 20:44:58.8 1.0e-01 +46:14:54 1.0e+00 * 0 * 0 * 0 49700.00 85.429 2.108 1.392715 2.0e-10 6.30e-16 4.0e-17 * 0 * 0 49700.00 315.40 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.95 * misc * - -2496 J2045+0912 J2045+0912 20:45:47.3 9.0e-04 +09:12:29.1 4.0e-02 * 0 * 0 * 0 52997.00 55.362 -20.329 0.395555 5.0e-13 1.95e-16 7.0e-20 * 0 * 0 52997.00 31.78 4.0e-03 * 0 3.50 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * ar4 * -2497 J2045+3633 J2045+3633 20:45:01.5 1.2e-04 +36:33:01.4 8.0e-04 -2.100 1.4e+00 -2.300 8.0e-01 * 0 56855.00 77.832 -3.926 0.031682 1.1e-14 5.88e-19 5.0e-22 * 0 * 0 56855.00 129.55 1.7e-03 * 0 * 0 * 0 DDH 57496.7511 3.0e-05 32.2978 1.0e-06 46.9419 1.1e-05 320.78 3.0e-04 1.721e-02 5.0e-08 * 0 * 0 * 0 5.63 * htru_eff * -2498 B2043-04 J2046-0421 20:46:00.1 5.0e-03 -04:21:26.0 2.0e-01 9.000 1.6e+01 -7.000 8.0e+00 * 0 48739.00 42.678 -27.387 1.546938 1.7e-12 1.47e-15 1.7e-20 1.600e-28 9.0e-29 * 0 48739.00 35.80 1.0e-02 * 0 20.00 1.0e+00 1.70 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 * mol2,pks70,pkssw * -2499 B2044+15 J2046+1540 20:46:39.3 5.0e-03 +15:40:33.6 1.1e-01 -13.000 6.0e+00 3.000 4.0e+00 * 0 48742.00 61.112 -16.838 1.138286 1.2e-12 1.82e-16 1.2e-20 -1.100e-29 1.1e-28 * 0 48742.00 39.82 4.9e-04 * 0 11.50 9.0e-01 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.34 * mol2,gb2,gb3,ar4,gb4 * -2500 B2045+56 J2046+5708 20:46:46.6 1.8e-02 +57:08:37.0 1.4e-01 * 0 * 0 * 0 49766.00 94.199 8.637 0.476735 7.0e-12 1.11e-14 4.0e-20 5.000e-27 3.5e-27 * 0 49766.00 101.79 7.7e-05 * 0 4.60 0.0e+00 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * gb2,gbncc * - -2501 J2047+1053 J2047+1053 20:47 0 +10:53 0 * 0 * 0 * 0 55561.00 57.019 -19.643 0.004290 0 * 0 * 0 * 0 55561.00 34.60 0 * 0 * 0 * 0 BT * 0 0.1200 0 * 0 * 0 * 0 * 0 * 0 * 0 2.79 GRS:2FGL_J2046.7+1055[naa+12] FermiAssoc * -2502 J2047+5029 J2047+5029 20:47:54.6 4.0e-04 +50:29:38.1 4.0e-02 * 0 * 0 * 0 54250.00 89.057 4.376 0.445945 4.0e-12 4.18e-15 1.6e-19 -7.410e-24 8.0e-26 * 0 54250.00 107.68 5.0e-03 * 0 * 0 0.38 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * misc * -2503 B2045-16 J2048-1616 20:48:35.6 4.0e-05 -16:16:44.5 1.5e-04 113.160 2.0e-02 -4.600 2.8e-01 1.050 3.0e-02 54100.00 30.514 -33.077 1.961572 1.2e-11 1.10e-14 4.0e-20 -9.200e-28 8.0e-29 * 0 46423.00 11.46 5.0e-03 * 0 116.00 2.6e+01 13.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.95 * mol1,mol2,pks70 * -2504 J2048+2255 J2048+2255 20:48:45.8 2.0e-03 +22:55:05.3 3.0e-02 * 0 * 0 * 0 51500.00 67.453 -12.944 0.283901 1.0e-12 1.52e-17 2.0e-20 * 0 * 0 51500.00 70.68 2.2e-03 * 0 1.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.65 * misc * -2505 J2050+1259 J2050+1259 20:50:57.2 1.4e-01 +12:59:09 3.0e+00 * 0 * 0 * 0 53400.00 59.436 -19.242 1.221020 9.0e-10 5.04e-16 3.0e-17 * 0 * 0 53400.00 52.40 0 * 0 0.40 0 0.05 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * misc * - -2506 J2051-0827 J2051-0827 20:51:07.5 1.8e-05 -08:27:37.7 8.0e-04 5.630 4.0e-02 2.340 2.8e-01 * 0 55655.00 39.192 -30.411 0.004509 1.1e-16 1.27e-20 7.0e-24 * 0 * 0 55655.00 20.73 1.7e-03 0.001 3.0e-04 22.00 0 2.80 6.0e-01 ELL1 * 0 0.0991 4.0e-11 0.0451 3.0e-07 36.19 0.0e+00 5.080e-05 0.0e+00 54091.0343 8.0e-07 3.000e-05 1.0e-05 4.100e-05 9.0e-06 1.47 * pks70 HE[wkh+12] -2507 J2052+1218 J2052+1218 20:52:47 6.1e+01 +12:18 1.5e+01 * 0 * 0 * 0 57022.00 59.114 -20.002 0.001990 0 * 0 * 0 * 0 57022.00 42.00 0 * 0 * 0 * 0 BT * 0 0.1100 0 0.0590 0 * 0 * 0 * 0 * 0 * 0 3.92 GRS:3FGL_J2052.7+1217[cck+16] FermiAssoc * -2508 J2053+1718 J2053+1718 20:53:49.4 7.0e-04 +17:18:44.6 1.3e-02 -1.000 2.3e+00 6.900 2.8e+00 * 0 53400.00 63.554 -17.264 0.119268 1.2e-13 2.86e-19 1.0e-21 * 0 * 0 53400.00 26.98 0 * 0 * 0 0.00 2.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.09 * ar4 * -2509 J2053+4650 J2053+4650 20:53:52.6 7.0e-05 +46:50:51.7 4.0e-04 -2.800 8.0e-01 -5.400 5.0e-01 * 0 56917.59 86.861 1.302 0.012586 1.6e-15 1.72e-19 1.0e-22 * 0 * 0 56917.59 98.08 6.0e-04 * 0 * 0 * 0 DDH 56911.1130 3.0e-03 2.4525 2.0e-10 8.8043 1.1e-06 266.70 4.0e-01 8.900e-06 1.0e-07 * 0 * 0 * 0 3.81 * htru_eff * -2510 B2048-72 J2053-7200 20:53:47.1 6.0e-02 -72:00:42.2 2.0e-01 * 0 * 0 * 0 47687.74 321.870 -34.998 0.341336 4.0e-12 1.96e-16 2.0e-19 * 0 * 0 47687.74 17.30 4.0e-01 * 0 29.00 0 6.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.03 * mol2,pks70 * - -2511 B2053+21 J2055+2209 20:55:39.1 4.5e-03 +22:09:27.2 1.0e-01 * 0 * 0 * 0 49726.00 67.832 -14.668 0.815181 8.0e-13 1.34e-15 8.0e-21 -4.800e-28 2.0e-28 * 0 49726.00 36.35 2.9e-04 * 0 9.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * gb3,gb4 * -2512 J2055+2539 J2055+2539 20:55:48.8 2.0e-01 +25:40:02 3.0e+00 * 0 * 0 * 0 54900.00 70.688 -12.519 0.319561 1.1e-09 4.08e-15 1.1e-16 * 0 * 0 54900.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.62 GRS:2FGL_J2055.8+2539[naa+12],XRS:XMMU_J FermiBlind NRAD -2513 B2053+36 J2055+3630 20:55:31.3 1.0e-04 +36:30:21.4 2.0e-03 1.040 4.0e-02 -2.460 1.3e-01 0.170 3.0e-02 52275.00 79.133 -5.589 0.221508 3.0e-13 3.69e-16 2.0e-21 -1.070e-26 7.0e-28 * 0 49361.00 97.42 5.6e-03 * 0 28.00 1.0e+00 2.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * gb1,gb2,gb3,gb4,gbncc * -2514 J2102+38 J2102+38 21:02 0 +38 0 * 0 * 0 * 0 54100.00 81.116 -5.597 1.190000 0 * 0 * 0 * 0 54100.00 85.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * gb350 * -2515 J2105+07 J2105+07 21:05:27 1.2e+02 +07:57 8.0e+00 * 0 * 0 * 0 57022.00 57.202 -25.054 3.746630 0 * 0 * 0 * 0 57022.00 52.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * - -2516 J2105+28 J2105+28 21:06 2.0e+00 +28:29 1.8e+01 * 0 * 0 * 0 56292.00 74.391 -12.468 0.405737 1.1e-05 * 0 * 0 * 0 56292.00 62.40 8.0e-01 * 0 8.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.84 * gbncc * -2517 J2105+6223 J2105+6223 21:05:12.9 2.0e-02 +62:23:05.5 1.0e-01 * 0 * 0 * 0 56774.00 99.793 10.176 2.304879 4.0e-11 5.22e-15 6.0e-19 * 0 * 0 56774.00 50.75 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.72 * gbncc RRAT -2518 J2108-3429 J2108-3429 21:08:30.4 2.0e-02 -34:29:37.9 4.0e-01 * 0 * 0 * 0 49314.17 9.698 -42.163 1.423102 2.0e-10 3.50e-15 3.0e-18 * 0 * 0 49314.17 30.22 1.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * pks70 * -2519 B2106+44 J2108+4441 21:08:20.4 6.0e-03 +44:41:48.8 6.0e-02 3.500 1.3e+00 1.400 1.4e+00 * 0 48736.00 86.909 -2.012 0.414871 6.0e-13 8.62e-17 6.0e-21 6.100e-28 2.2e-28 * 0 48736.00 139.83 1.1e-02 * 0 26.00 2.0e+00 5.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.35 * jb1,gb1,gb3,gb4,gbncc * -2520 J2111+2106 J2111+2106 21:11:33.1 6.0e-02 +21:06:07.0 1.4e+00 * 0 * 0 * 0 54987.00 69.398 -18.205 3.953853 6.0e-10 3.24e-15 2.0e-17 * 0 * 0 54987.00 59.30 3.5e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.40 * gb350 * - -2521 J2111+40 J2111+40 21:11 0 +40 0 * 0 * 0 * 0 54100.00 83.785 -5.559 4.061000 0 * 0 * 0 * 0 54100.00 120.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * gb350 * -2522 J2111+4606 J2111+4606 21:11:24.1 3.0e-02 +46:06:31.3 3.0e-01 * 0 * 0 * 0 55225.00 88.310 -1.445 0.157830 1.0e-11 1.43e-13 8.0e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2111.3+4605[naa+12] FermiBlind NRAD -2523 B2110+27 J2113+2754 21:13:04.3 1.8e-03 +27:54:02.2 3.0e-02 -23.000 2.0e+00 -54.000 3.0e+00 * 0 48741.00 74.993 -14.025 1.202852 1.2e-12 2.62e-15 9.0e-21 4.900e-29 8.0e-29 * 0 48741.00 25.11 1.8e-04 * 0 18.00 3.0e+00 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.87 * misc,gb3,ar4,gb4 * -2524 B2111+46 J2113+4644 21:13:24.3 4.0e-03 +46:44:08.8 5.0e-02 -4.000 1.3e+01 9.000 1.4e+01 * 0 53915.00 89.003 -1.266 1.014685 5.0e-12 7.15e-16 1.2e-20 1.853e-26 1.1e-28 * 0 46614.00 141.26 9.0e-02 * 0 230.00 1.1e+01 19.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * jb1,gb1,gb3,gb4,gbncc * -2525 J2113+67 J2113+67 21:14 3.0e+00 +67:02 1.8e+01 * 0 * 0 * 0 56292.00 103.973 12.561 0.552170 8.8e-06 * 0 * 0 * 0 56292.00 55.10 8.0e-01 * 0 1.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.89 * gbncc * - -2526 B2113+14 J2116+1414 21:16:13.7 3.0e-03 +14:14:21.0 7.0e-02 8.000 1.5e+01 -11.000 5.0e+00 * 0 48471.00 64.464 -23.409 0.440153 1.4e-12 2.89e-16 1.0e-20 -8.500e-27 6.0e-28 * 0 48471.00 56.20 6.1e-03 * 0 9.00 1.0e+00 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * mol2 * -2527 J2122+54 J2122+54 21:23 1.0e+00 +54:33 8.0e+00 * 0 * 0 * 0 56292.00 95.648 3.121 0.138866 1.3e-06 * 0 * 0 * 0 56292.00 31.70 7.0e-01 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.81 * gbncc * -2528 B2122+13 J2124+1407 21:24:46.5 1.5e-02 +14:07:19.3 3.1e-01 * 0 * 0 * 0 49872.00 65.795 -25.092 0.694053 3.0e-12 7.68e-16 3.0e-20 4.100e-27 8.0e-28 * 0 49872.00 30.25 1.3e-03 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.81 * gb2 * -2529 J2124-3358 J2124-3358 21:24:43.8 1.0e-05 -33:58:44.8 3.0e-04 -14.140 4.0e-02 -50.080 9.0e-02 2.400 4.0e-01 54500.00 10.925 -45.438 0.004931 1.5e-16 2.06e-20 8.0e-25 * 0 * 0 54500.00 4.60 0 * 0 17.00 4.0e+00 3.60 1.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 GRS:2FGL_J2124.6-3357[naa+12] pks70 HE[bt99,aaa+09f] -2530 B2123-67 J2127-6648 21:27:31.2 1.6e-01 -66:48:28.1 9.0e-01 * 0 * 0 * 0 43557.12 326.392 -39.777 0.325771 1.1e-10 2.26e-16 5.0e-18 * 0 * 0 43557.12 35.00 3.0e+00 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.00 * mol2,pks70 * - -2531 J2129-0429 J2129-0429 21:29:45.0 1.0e-03 -04:29:05.5 8.0e-02 * 0 * 0 * 0 55196.00 48.912 -36.939 0.007620 0 * 0 * 0 * 0 55196.00 16.90 0 * 0 0.50 0 * 0 ELL1 * 0 0.6352 3.0e-10 1.8550 4.2e-02 * 0 * 0 55702.1112 1.0e-07 * 0 * 0 1.83 GRS:2FGL_J2129.8-0428[naa+12],OPT:[bkb+1 FermiAssoc HE -2532 B2127+11A J2129+1210A 21:29:58.2 4.0e-06 +12:10:01.2 1.0e-04 -0.540 1.4e-01 -4.330 2.5e-01 * 0 55146.00 65.012 -27.312 0.110665 5.0e-14 -2.10e-17 2.0e-22 * 0 * 0 50000.00 67.31 5.0e-02 * 0 1.70 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2533 B2127+11B J2129+1210B 21:29:58.6 1.0e-03 +12:10:00.3 3.0e-02 1.700 3.3e+00 -1.900 5.9e+00 * 0 50000.00 65.013 -27.314 0.056133 9.0e-14 9.54e-18 6.0e-22 * 0 * 0 50000.00 67.69 1.2e-01 * 0 1.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2534 B2127+11C J2129+1210C 21:30:01.2 1.0e-04 +12:10:38.2 4.0e-03 -1.300 5.0e-01 -3.300 1.0e+00 * 0 50000.00 65.030 -27.315 0.030529 1.0e-14 4.99e-18 2.0e-23 * 0 * 0 50000.00 67.13 5.0e-02 * 0 0.64 0 * 0 DD 50000.0643 3.0e-07 0.3353 5.0e-11 2.5185 6.0e-05 345.31 5.0e-04 6.814e-01 2.0e-06 * 0 * 0 * 0 14.20 GC:M15 misc * -2535 B2127+11D J2129+1210D 21:29:58.2 7.0e-03 +12:09:59.7 1.3e-01 * 0 * 0 * 0 47632.52 65.012 -27.313 0.004803 3.0e-13 -1.08e-18 1.2e-20 * 0 * 0 47632.52 67.30 2.0e-01 * 0 0.34 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * - -2536 B2127+11E J2129+1210E 21:29:58.1 4.0e-03 +12:10:08.6 8.0e-02 * 0 * 0 * 0 47632.52 65.014 -27.311 0.004651 1.3e-13 1.78e-19 7.0e-21 * 0 * 0 47632.52 66.51 1.2e-01 * 0 0.24 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2537 B2127+11F J2129+1210F 21:29:57.1 5.0e-03 +12:10:02.9 1.0e-01 * 0 * 0 * 0 47632.52 65.010 -27.309 0.004027 1.5e-13 3.20e-20 8.0e-21 * 0 * 0 47632.52 65.52 1.5e-01 * 0 0.14 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2538 B2127+11G J2129+1210G 21:29:57.9 3.0e-02 +12:09:57.3 6.0e-01 * 0 * 0 * 0 47632.52 65.011 -27.312 0.037660 8.0e-12 2.00e-18 5.0e-19 * 0 * 0 47632.52 66.40 2.0e-01 * 0 0.13 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2539 B2127+11H J2129+1210H 21:29:58.1 5.0e-03 +12:09:59.4 1.0e-01 * 0 * 0 * 0 47632.52 65.012 -27.312 0.006743 3.0e-13 2.40e-20 1.3e-20 * 0 * 0 47632.52 67.15 1.2e-01 * 0 0.16 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2540 J2129-5721 J2129-5721 21:29:22.7 1.2e-05 -57:21:14.2 1.2e-04 9.250 4.0e-02 -9.580 4.0e-02 * 0 54500.00 338.005 -43.570 0.003726 3.0e-17 2.09e-20 2.0e-25 * 0 * 0 54500.00 31.85 0 -0.000 4.0e-05 14.00 2.0e+00 1.10 7.0e-01 ELL1 * 0 6.6255 1.3e-09 3.5006 1.4e-07 197.08 0.0e+00 1.219e-05 0.0e+00 50442.6431 4.0e-07 -3.580e-06 8.0e-08 -1.165e-05 8.0e-08 3.20 * pks70 * - -2541 J2136-1606 J2136-1606 21:36:00.2 1.0e-01 -16:06:13.0 4.0e+00 * 0 * 0 * 0 55764.00 36.204 -43.554 1.227235 6.0e-11 1.60e-17 3.0e-18 * 0 * 0 55764.00 18.48 5.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * gb350 * -2542 J2137+64 J2137+64 21:37 3.0e+00 +64:19 1.8e+01 * 0 * 0 * 0 56292.00 103.714 8.969 1.750870 1.4e-04 * 0 * 0 * 0 56292.00 106.00 2.0e+00 * 0 6.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * gbncc * -2543 J2138+4911 J2138+4911 21:38 0 +49:11 0 * 0 * 0 * 0 54100.00 93.663 -2.375 0.696000 0 * 0 * 0 * 0 54100.00 168.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.20 * gb350 * -2544 J2139+00 J2139+00 21:39:42 1.6e+01 +00:36 5.0e+00 * 0 * 0 * 0 49717.00 55.912 -36.261 0.312470 3.0e-06 * 0 * 0 * 0 49717.00 36.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * -2545 J2139+2242 J2139+2242 21:39:26.9 1.0e-02 +22:42:42.0 2.0e-01 * 0 * 0 * 0 49800.00 75.293 -21.920 1.083514 2.0e-11 1.42e-15 2.0e-18 * 0 * 0 49800.00 44.16 7.5e-04 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.93 * gb4,ar4 * - -2546 J2139+4716 J2139+4716 21:39:55.9 9.0e-02 +47:16:13 1.0e+00 * 0 * 0 * 0 55225.00 92.633 -4.020 0.282849 1.6e-11 1.79e-15 1.6e-18 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2139.8+4714[naa+12] FermiBlind NRAD -2547 J2140-2310A J2140-2310A 21:40:22.4 4.6e-04 -23:10:48.7 9.7e-03 * 0 * 0 * 0 52162.00 27.179 -46.837 0.011019 6.7e-15 -5.18e-20 2.0e-22 * 0 * 0 52162.00 25.06 4.1e-03 * 0 * 0 0.08 3.0e-02 ELL1 * 0 0.1740 3.4e-10 0.2349 4.8e-06 * 0 * 0 52161.9455 6.8e-07 0.000e+00 9.0e-05 0.000e+00 9.0e-05 9.20 GC:M30 misc * -2548 J2140-2310B J2140-2310B 21:40:22 1.6e+01 -23:10:47 2.7e+02 * 0 * 0 * 0 52162.00 27.179 -46.835 0.012986 3.0e-09 * 0 * 0 * 0 52162.00 25.09 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.20 GC:M30 misc * -2549 J2143+0654 J2143+0654 21:43:03.3 4.0e-02 +06:54:17.5 6.0e-01 * 0 * 0 * 0 54065.00 62.655 -33.139 9.428229 1.0e-07 4.09e-14 1.8e-14 * 0 * 0 54383.65 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J2143.0+0654,OPT:[kkvh11] misc XINS,NRAD -2550 J2144-3933 J2144-3933 21:44:12.0 4.5e-05 -39:33:56.8 3.2e-04 -57.890 8.8e-01 -155.900 5.4e-01 6.050 5.6e-01 54100.00 2.794 -49.466 8.509827 3.0e-09 4.96e-16 5.0e-18 * 0 * 0 49016.00 3.35 1.0e-02 * 0 16.00 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 * pks70 * - -2551 J2144-5237 J2144-5237 21:44:39.2 8.0e-02 -52:37:32.1 3.8e+00 * 0 * 0 * 0 56657.00 343.421 -47.130 0.005040 0 * 0 * 0 * 0 56657.00 19.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.58 * ghrss * -2552 J2145-0750 J2145-0750 21:45:50.4 9.0e-06 -07:50:18.4 4.0e-04 -9.460 5.0e-02 -9.080 6.0e-02 1.630 4.0e-02 55000.00 47.777 -42.084 0.016052 1.5e-16 2.98e-20 3.0e-24 * 0 * 0 55000.00 9.00 0 0.000 3.0e-05 100.00 3.0e+01 8.90 1.2e+01 ELL1 * 0 6.8389 5.0e-11 10.1641 3.0e-07 200.74 0.0e+00 1.931e-05 0.0e+00 50802.2982 3.0e-08 -6.840e-06 1.3e-08 -1.806e-05 1.4e-08 0.53 * pks70 * -2553 B2148+63 J2149+6329 21:49:58.5 3.0e-02 +63:29:43.5 2.0e-01 14.000 3.0e+00 10.000 4.0e+00 * 0 44240.00 104.254 7.412 0.380140 2.0e-11 1.68e-16 7.0e-19 * 0 * 0 43890.80 129.72 5.5e-03 * 0 32.00 2.0e+00 2.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * jb1,gb1,gb2,gb3,gb4 * -2554 B2148+52 J2150+5247 21:50:37.7 1.9e-03 +52:47:49.6 1.7e-02 * 0 * 0 * 0 49693.00 97.521 -0.915 0.332206 1.8e-12 1.01e-14 1.5e-20 -1.100e-26 3.0e-27 * 0 49693.00 148.93 4.0e-03 * 0 15.60 8.0e-01 2.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.61 * gb2,gb3 * -2555 J2151+2315 J2151+2315 21:51:28.9 1.0e-01 +23:15:12.8 5.0e-01 * 0 * 0 * 0 51594.00 77.849 -23.471 0.593534 3.0e-09 7.08e-16 3.0e-18 * 0 * 0 51594.00 23.60 2.0e-01 * 0 1.60 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * ar4 * - -2556 J2154-28 J2154-28 21:54:48 3.0e+01 -28:08 7.0e+00 * 0 * 0 * 0 57388.00 20.879 -51.083 1.343350 2.0e-05 * 0 * 0 * 0 57388.00 28.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks_superb * -2557 J2155+2813 J2155+2813 21:55:15.8 1.0e-02 +28:13:12.1 2.0e-01 * 0 * 0 * 0 51594.00 82.131 -20.370 1.609020 6.0e-10 9.16e-16 9.0e-19 * 0 * 0 51594.00 77.13 4.3e-03 * 0 2.10 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * -2558 B2152-31 J2155-3118 21:55:13.6 3.8e-02 -31:18:54.7 1.0e+00 * 0 * 0 * 0 48714.00 15.845 -51.577 1.030002 7.0e-12 1.24e-15 5.0e-20 2.300e-27 5.0e-28 * 0 48714.00 14.85 5.0e-02 * 0 12.00 2.0e+00 0.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.30 * mol2,pks70 * -2559 B2151-56 J2155-5641 21:55:01.4 6.0e-01 -56:41:57 5.0e+00 * 0 * 0 * 0 43557.13 337.046 -47.054 1.373654 2.0e-09 4.23e-15 1.0e-16 * 0 * 0 43557.13 14.00 9.0e+00 * 0 2.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.04 * mol2 * -2560 J2156+2618 J2156+2618 21:56:23.7 6.0e-03 +26:18:30.4 1.8e-01 * 0 * 0 * 0 49079.50 80.976 -21.969 0.498149 2.0e-11 1.42e-17 1.0e-18 * 0 * 0 49079.50 48.44 3.9e-03 * 0 2.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * ar4 * - -2561 B2154+40 J2157+4017 21:57:01.8 1.0e-04 +40:17:45.9 2.0e-03 16.130 1.0e-01 4.120 1.2e-01 0.280 6.0e-02 52275.00 90.488 -11.341 1.525266 1.2e-11 3.43e-15 7.0e-20 -4.220e-26 6.0e-28 * 0 49277.00 71.12 2.2e-03 * 0 105.00 7.0e+00 17.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 * gb1,gb3,gb4 * -2562 J2203+50 J2203+50 22:03 0 +50 0 * 0 * 0 * 0 54100.00 97.322 -4.307 0.745000 0 * 0 * 0 * 0 54100.00 79.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * gb350 * -2563 J2204+27 J2204+27 22:04:40 7.0e+00 +27:02:00 1.0e+02 * 0 * 0 * 0 55805.00 83.001 -22.626 0.084700 0 * 0 * 0 * 0 55805.00 35.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * ar327 * -2564 J2205+1444 J2205+1444 22:05:17.2 1.3e-02 +14:44:31.3 4.0e-01 * 0 * 0 * 0 49079.50 73.886 -31.885 0.938014 1.0e-10 9.00e-16 7.0e-18 * 0 * 0 49079.50 36.72 1.4e-02 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.04 * ar4 * -2565 J2206+6151 J2206+6151 22:06:18.1 6.0e-03 +61:51:58.1 3.0e-02 * 0 * 0 * 0 56100.00 104.735 4.977 0.322674 5.0e-12 3.97e-16 4.0e-18 * 0 * 0 56100.00 167.00 0 * 0 1.20 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.03 * htru_eff,gbncc * - -2566 J2207+40 J2207+40 22:07 2.0e+00 +40:57 1.8e+01 * 0 * 0 * 0 56292.00 92.424 -11.983 0.636985 8.5e-06 * 0 * 0 * 0 56292.00 12.00 2.0e+00 * 0 3.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.76 * gbncc * -2567 J2208+5500 J2208+5500 22:08:23.7 1.0e-02 +55:00:08.4 5.0e-02 * 0 * 0 * 0 54315.00 100.939 -0.751 0.933161 6.0e-12 6.99e-15 6.0e-19 * 0 * 0 54315.00 101.03 0 * 0 * 0 0.26 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.99 * misc * -2568 J2210+57 J2210+57 22:11 3.0e+00 +57:29 1.8e+01 * 0 * 0 * 0 56292.00 102.666 1.066 2.057430 1.3e-04 * 0 * 0 * 0 56292.00 189.43 6.0e-02 * 0 1.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * gbncc * -2569 B2210+29 J2212+2933 22:12:23.3 6.9e-03 +29:33:05.6 1.0e-01 * 0 * 0 * 0 49686.00 86.136 -21.731 1.004593 4.0e-12 4.95e-16 4.0e-20 -2.800e-27 5.0e-28 * 0 49686.00 74.52 1.5e-03 * 0 6.30 8.0e-01 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2 * -2570 J2213+53 J2213+53 22:13 0 +53 0 * 0 * 0 * 0 54100.00 100.342 -2.778 0.751000 0 * 0 * 0 * 0 54100.00 161.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * gb350 * - -2571 J2214+3000 J2214+3000 22:14:38.8 1.2e-05 +30:00:38.1 1.7e-04 * 0 * 0 2.300 7.0e-01 56610.00 86.855 -21.665 0.003119 1.6e-17 1.47e-20 1.0e-24 * 0 * 0 56610.00 22.55 2.5e-03 * 0 * 0 0.53 0 ELL1 * 0 0.4166 3.0e-10 0.0591 3.0e-07 324.09 0.0e+00 3.581e-05 0.0e+00 56609.8485 4.0e-07 -2.100e-05 8.0e-06 2.900e-05 8.0e-06 0.60 OPT:[sh14],GRS:2FGL_J2214.7+3000[naa+12] FermiAssoc HE -2572 J2215+1538 J2215+1538 22:15:39.6 4.0e-03 +15:38:34.8 7.0e-02 * 0 * 0 * 0 49079.50 76.783 -32.929 0.374196 1.6e-12 2.37e-15 1.6e-19 * 0 * 0 49079.50 29.24 1.2e-03 * 0 3.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * ar4,gb4 * -2573 J2215+5135 J2215+5135 22:15:32.6 4.0e-04 +51:35:36.3 1.3e-02 170.000 2.2e+01 82.000 2.4e+01 * 0 55610.00 99.868 -4.159 0.002610 7.0e-16 3.34e-20 7.0e-22 * 0 * 0 55610.00 69.20 2.0e-04 * 0 5.00 0 * 0 ELL1 * 0 0.1725 8.0e-09 0.4681 1.3e-05 68.20 0.0e+00 1.077e-05 0.0e+00 55186.1645 1.0e-06 1.000e-05 3.0e-05 4.000e-06 1.4e-05 2.77 OPT:[bvr+13] FermiAssoc HE -2574 J2216+5759 J2216+5759 22:16:05.2 3.0e-02 +57:59:53.7 3.0e-01 * 0 * 0 * 0 56100.00 103.517 1.107 0.419102 2.0e-11 6.90e-14 2.0e-18 * 0 * 0 56100.00 176.00 0 * 0 * 0 0.23 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.59 * htru_eff * -2575 J2217+5733 J2217+5733 22:17:55.0 2.0e-02 +57:33:04.0 2.0e-01 * 0 * 0 * 0 54315.00 103.472 0.599 1.056844 4.0e-11 6.51e-16 2.0e-18 * 0 * 0 54315.00 162.75 0 * 0 3.70 0 0.26 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * misc,gbncc * - -2576 B2217+47 J2219+4754 22:19:48.1 3.0e-03 +47:54:53.9 3.0e-02 -12.000 8.0e+00 -30.000 6.0e+00 * 0 46599.00 98.385 -7.598 0.538469 1.2e-12 2.77e-15 5.0e-21 -3.180e-27 1.3e-28 * 0 46599.00 43.50 5.0e-04 * 0 111.00 1.2e+01 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * misc,jb1,gb1,gb3,gb4,gbncc * -2577 J2222-0137 J2222-0137 22:22:05.9 7.0e-06 -01:37:15.7 1.0e-04 44.730 2.0e-02 -5.680 6.0e-02 3.742 1.6e-02 55473.00 62.018 -46.075 0.032818 4.0e-16 5.80e-21 4.0e-25 * 0 * 0 56000.00 3.28 0 0.001 0 * 0 * 0 DD 56001.3838 8.0e-05 2.4458 1.3e-07 10.8480 6.0e-07 119.90 1.1e-02 3.810e-04 3.0e-08 * 0 * 0 * 0 0.27 OPT:[blr+13,kbd+14],XRS:[pb15] gb350 * -2578 J2222+2923 J2222+2923 22:23:03.2 1.1e-02 +29:23:58.6 1.4e-01 * 0 * 0 * 0 51242.00 88.050 -23.242 0.281399 1.6e-12 6.17e-18 3.0e-20 2.400e-27 1.1e-26 * 0 51242.00 49.41 1.1e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.63 * ar4 * -2579 J2222+5602 J2222+5602 22:22 0 +56 0 * 0 * 0 * 0 54100.00 103.093 -1.005 1.336000 0 * 0 * 0 * 0 54100.00 168.00 0 * 0 21.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.57 * gb350,gbncc * -2580 J2225+35 J2225+35 22:24:48 0 +35:30 0 * 0 * 0 * 0 54466.00 92.108 -18.448 0.940000 0 * 0 * 0 * 0 54466.00 51.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * misc RRAT - -2581 B2224+65 J2225+6535 22:25:52.7 7.0e-03 +65:35:35.5 4.0e-02 144.000 3.0e+00 112.000 3.0e+00 * 0 53880.00 108.637 6.846 0.682542 1.0e-11 9.66e-15 1.0e-18 -8.600e-27 2.8e-27 * 0 54420.00 36.44 5.1e-04 * 0 22.00 2.0e+00 2.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 XRS:[hb07b],OPT:Guitar_Nebula[crl93] jb1,gb1,gb2,gb3,gb4,gbncc * -2582 J2227+30 J2227+30 22:27:30 2.3e+01 +30:36 5.0e+00 * 0 * 0 * 0 49700.00 89.656 -22.815 0.842408 3.0e-06 * 0 * 0 * 0 49700.00 33.00 3.0e+00 * 0 2.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.82 * misc * -2583 J2229+2643 J2229+2643 22:29:50.8 2.0e-05 +26:43:57.6 2.6e-04 * 0 * 0 0.800 7.0e-01 56937.00 87.693 -26.284 0.002978 4.0e-17 1.52e-21 7.0e-24 * 0 * 0 56937.00 22.73 6.0e-04 0.001 5.0e-04 13.00 0 0.90 2.0e-01 DD 56953.9954 1.6e-03 93.0159 1.5e-07 18.9125 3.0e-07 14.34 6.0e-03 2.553e-04 4.0e-08 * 0 * 0 * 0 1.80 * ar4 * -2584 J2229+6114 J2229+6114 22:29:05.2 7.0e-02 +61:14:09.3 5.0e-01 * 0 * 0 * 0 51980.00 106.647 2.949 0.051624 6.0e-11 7.83e-14 2.0e-17 * 0 * 0 51980.00 204.97 2.0e-02 * 0 1.50 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 SNR:G106.6+2.9,GRS:2FGL_J2229.0+6114[naa misc,gbncc HE[hcg+01,ppp+09,aaa+09i] -2585 B2227+61 J2229+6205 22:29:41.8 9.7e-03 +62:05:36.0 6.8e-02 * 0 * 0 * 0 49840.00 107.154 3.645 0.443055 4.0e-12 2.26e-15 3.0e-20 -1.200e-26 3.0e-27 * 0 49840.00 124.64 3.1e-03 * 0 17.00 8.0e-01 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * gb1,gb3,gbncc * - -2586 J2229+64 J2229+64 22:29 3.0e+00 +64:58 1.8e+01 * 0 * 0 * 0 56292.00 108.584 6.141 1.893120 1.3e-04 * 0 * 0 * 0 56292.00 194.00 1.0e+00 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * gbncc * -2587 J2234+0611 J2234+0611 22:34:23.0 6.3e-06 +06:11:28.6 2.0e-04 * 0 * 0 0.660 2.0e-01 57026.00 72.991 -43.006 0.003577 3.0e-17 1.20e-20 4.0e-24 * 0 * 0 57026.00 10.76 1.5e-03 * 0 0.30 0 0.70 0 DD 57018.1030 6.0e-07 32.0014 1.4e-07 13.9375 1.0e-07 277.17 7.0e-06 1.293e-01 1.4e-08 * 0 * 0 * 0 1.52 * ar327 * -2588 J2234+0944 J2234+0944 22:34:46.8 1.1e-05 +09:44:30.2 3.3e-04 * 0 * 0 1.300 5.0e-01 56917.00 76.280 -40.438 0.003627 6.0e-17 2.01e-20 4.0e-24 * 0 * 0 56917.00 17.83 1.4e-03 * 0 * 0 * 0 ELL1 * 0 0.4197 5.0e-10 0.0684 3.0e-07 353.66 0.0e+00 4.528e-06 0.0e+00 56917.0483 4.0e-07 -5.000e-07 6.0e-06 4.500e-06 5.1e-06 1.59 GRS:3FGL_J2234.8+0945[aaa+15] FermiAssoc * -2589 J2234+2114 J2234+2114 22:34:56.6 3.0e-02 +21:14:18.8 5.0e-01 * 0 * 0 * 0 49079.50 85.138 -31.435 1.358745 5.0e-11 2.22e-16 5.0e-18 * 0 * 0 49079.50 35.08 9.0e-02 * 0 2.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * ar4 * -2590 J2235+1506 J2235+1506 22:35:43.7 1.0e-04 +15:06:49.0 5.0e-03 15.000 4.0e+00 10.000 8.0e+00 * 0 49250.00 80.878 -36.444 0.059767 9.0e-15 1.58e-19 7.0e-22 * 0 * 0 49250.00 18.09 5.0e-02 * 0 3.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.54 * ar4 * - -2591 J2236-5527 J2236-5527 22:36:51.8 8.0e-04 -55:27:48.8 4.0e-03 * 0 * 0 * 0 55758.00 334.166 -52.719 0.006908 3.0e-15 9.60e-21 6.0e-22 * 0 * 0 55758.00 20.00 5.0e-01 * 0 * 0 0.28 8.0e-03 BT 55472.5510 7.0e-03 12.6892 1.4e-07 8.7759 7.0e-06 350.80 1.8e+00 5.020e-05 1.8e-06 * 0 * 0 * 0 2.05 * htru_pks * -2592 J2238+5903 J2238+5903 22:38:28.2 4.0e-02 +59:03:40.8 4.0e-01 * 0 * 0 * 0 54800.00 106.562 0.482 0.162734 1.1e-11 9.70e-14 6.0e-18 1.100e-22 2.0e-23 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.83 GRS:2FGL_J2238.4+5902[naa+12] FermiBlind NRAD -2593 J2238+6021 J2238+6021 22:38 0 +60:21 0 * 0 * 0 * 0 54100.00 107.140 1.636 3.070000 0 * 0 * 0 * 0 54100.00 182.00 0 * 0 111.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.63 * gb350,gbncc * -2594 J2240+5832 J2240+5832 22:40:42.9 4.0e-03 +58:32:37.5 4.0e-02 -6.100 8.0e-01 -21.000 4.0e-01 * 0 54000.00 106.566 -0.111 0.139935 2.0e-06 1.54e-14 3.0e-18 * 0 * 0 54000.00 263.50 5.0e-02 * 0 * 0 2.70 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.27 * misc HE[tpc+11] -2595 J2241-5236 J2241-5236 22:41:42.0 5.0e-05 -52:36:36.2 3.0e-04 * 0 * 0 * 0 55044.20 337.457 -54.927 0.002187 1.5e-15 6.64e-21 5.0e-23 * 0 * 0 55044.20 11.41 3.0e-05 * 0 * 0 4.10 1.0e-01 BT 55044.1581 6.0e-07 0.1457 3.0e-10 0.0258 1.4e-07 * 0 0.000e+00 1.0e-05 * 0 * 0 * 0 0.96 GRS:2FGL_J2241.7-5236[naa+12],XRS: FermiAssoc,ghrss HE - -2596 B2241+69 J2242+6950 22:42:56.4 1.1e-01 +69:50:52.1 4.9e-01 * 0 * 0 * 0 49690.00 112.221 9.695 1.664501 2.0e-11 4.82e-15 1.4e-19 -1.200e-27 1.0e-27 * 0 49690.00 40.86 7.3e-04 * 0 2.40 7.0e-01 0.40 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.01 * gb2,gbncc * -2597 J2243+1518 J2243+1518 22:43:09.7 4.0e-03 +15:18:25.1 1.1e-01 * 0 * 0 * 0 53258.00 82.809 -37.377 0.596799 4.0e-12 1.13e-16 7.0e-19 * 0 * 0 53258.00 42.13 4.7e-01 * 0 0.16 5.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc * -2598 J2243+69 J2243+69 22:44 7.0e+00 +69:40 1.8e+01 * 0 * 0 * 0 56292.00 112.215 9.492 0.855405 3.2e-05 * 0 * 0 * 0 56292.00 68.00 2.0e+00 * 0 3.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.54 * gbncc * -2599 J2244+63 J2244+63 22:44 0 +63 0 * 0 * 0 * 0 54100.00 109.039 3.618 0.461000 0 * 0 * 0 * 0 54100.00 92.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * gb350 * -2600 J2248-0101 J2248-0101 22:48:26.9 1.8e-02 -01:01:48.1 6.0e-01 * 0 * 0 * 0 50866.00 69.256 -50.620 0.477233 3.0e-12 6.59e-16 3.0e-20 3.500e-26 4.0e-27 * 0 50866.00 29.05 3.0e-02 * 0 11.00 0 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks70 * - -2601 J2253+1516 J2253+1516 22:53:14.5 4.0e-03 +15:16:37.8 8.0e-02 * 0 * 0 * 0 49079.50 85.305 -38.809 0.792236 4.0e-12 6.65e-17 4.0e-19 * 0 * 0 49079.50 29.20 1.7e-03 * 0 2.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * ar4 * -2602 J2256-1024 J2256-1024 22:56:56.3 1.0e-02 -10:24:34.3 1.2e-01 * 0 * 0 * 0 55196.00 59.231 -58.293 0.002290 0 * 0 * 0 * 0 55196.00 13.80 0 * 0 7.00 0 * 0 BT * 0 0.2100 0 0.0830 0 * 0 * 0 * 0 * 0 * 0 1.33 OPT:[bvr+13] FermiAssoc HE -2603 B2255+58 J2257+5909 22:57:57.7 3.0e-03 +59:09:14.8 2.3e-02 * 0 * 0 * 0 50085.00 108.831 -0.575 0.368246 7.0e-12 5.75e-15 6.0e-20 -8.100e-26 1.0e-26 * 0 50085.00 151.08 6.0e-03 * 0 34.00 2.0e+00 9.20 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * jb1,gb1,gb3,gb4,gbncc * -2604 J2301+5852 J2301+5852 23:01:08.2 3.3e-01 +58:52:44.4 6.0e-01 -6.400 6.0e-01 -2.300 6.0e-01 * 0 54852.00 109.087 -0.996 6.979071 1.5e-09 4.71e-13 4.0e-17 * 0 * 0 54852.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 SNR:CTB109,XRS:1E_2259+586 misc AXP,NRAD -2605 J2302+4442 J2302+4442 23:02:46.9 3.0e-05 +44:42:22.0 3.0e-04 -0.050 1.3e-01 -5.850 1.2e-01 1.200 1.2e+00 56279.00 103.395 -14.005 0.005192 3.0e-16 1.38e-20 9.0e-23 * 0 * 0 56279.00 13.73 3.0e-04 * 0 11.30 0 1.20 4.0e-01 DDH 56302.6599 6.0e-04 125.9353 1.3e-07 51.4300 5.0e-07 207.89 1.8e-03 5.030e-04 1.7e-08 * 0 * 0 * 0 0.86 GRS:2FGL_J2302.7+4443[naa+12],XRS:XMMUJ2 misc,gbncc HE - -2606 J2302+6028 J2302+6028 23:02:11.2 2.0e-02 +60:28:00.2 8.0e-02 * 0 * 0 * 0 49800.00 109.859 0.398 1.206404 2.0e-11 2.04e-15 3.0e-18 * 0 * 0 49800.00 156.70 1.0e-01 * 0 12.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.17 * gb4,gbncc * -2607 B2303+30 J2305+3100 23:05:58.3 1.0e-02 +31:00:01.7 1.5e-01 2.000 2.0e+00 -20.000 2.0e+00 * 0 48714.00 97.721 -26.657 1.575886 8.0e-12 2.89e-15 5.0e-20 2.120e-27 2.0e-28 * 0 48714.00 49.58 1.2e-03 * 0 24.00 2.0e+00 2.20 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb1,ar4,gb4 * -2608 B2303+46 J2305+4707 23:05:55.8 1.7e-02 +47:07:45.3 1.7e-01 * 0 * 0 * 0 46107.00 104.931 -12.021 1.066371 1.6e-11 5.69e-16 1.6e-19 * 0 * 0 46107.00 62.07 3.6e-03 * 0 1.90 4.0e-01 * 0 BT 47452.5607 1.7e-05 12.3395 1.7e-07 32.6878 3.0e-04 35.08 7.0e-04 6.584e-01 9.0e-06 * 0 * 0 * 0 3.16 * gb2 * -2609 J2307+2225 J2307+2225 23:07:41.2 1.3e-02 +22:25:50.1 1.9e-01 * 0 * 0 * 0 49079.50 93.570 -34.458 0.535829 7.0e-12 8.70e-18 7.0e-19 * 0 * 0 49079.50 7.02 1.0e-02 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.49 * ar4 * -2610 B2306+55 J2308+5547 23:08:13.8 5.0e-03 +55:47:36.0 4.0e-02 -15.000 8.0e+00 0.000 2.7e+01 * 0 48717.00 108.729 -4.206 0.475068 1.0e-12 1.99e-16 1.0e-20 -4.200e-27 4.0e-28 * 0 48717.00 46.54 3.7e-04 * 0 19.00 2.0e+00 1.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.08 * jb1,gb2,gb3,gb4,gbncc * - -2611 J2311+67 J2311+67 23:11 1.0e+00 +67:05 1.8e+01 * 0 * 0 * 0 56657.00 113.366 6.096 1.944700 2.0e-04 * 0 * 0 * 0 56657.00 97.10 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.65 * gbncc RRAT -2612 B2310+42 J2313+4253 23:13:08.6 1.0e-04 +42:53:13.0 2.0e-03 24.150 1.0e-01 5.950 1.3e-01 0.930 7.0e-02 52275.00 104.410 -16.422 0.349434 5.0e-13 1.12e-16 1.9e-21 5.800e-27 3.0e-28 * 0 48241.00 17.28 3.3e-04 * 0 89.00 9.0e+00 15.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * gb1,gb2,gb4,gbncc * -2613 J2315+58 J2315+58 23:15 0 +58 0 * 0 * 0 * 0 54100.00 110.418 -2.509 1.061000 0 * 0 * 0 * 0 54100.00 74.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * gb350 * -2614 J2316+69 J2316+69 23:17 3.0e+00 +69:12 1.8e+01 * 0 * 0 * 0 56292.00 114.678 7.856 0.813386 2.2e-05 * 0 * 0 * 0 56292.00 71.00 2.0e+00 * 0 2.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * gbncc * -2615 J2317+1439 J2317+1439 23:17:09.2 8.1e-06 +14:39:31.2 2.3e-04 * 0 * 0 0.490 8.0e-02 54977.00 91.361 -42.360 0.003445 6.0e-18 2.43e-21 5.0e-26 * 0 * 0 54977.00 21.88 9.0e-03 * 0 19.00 0 4.00 1.0e+00 ELL1H * 0 2.4593 1.8e-11 2.3139 4.0e-08 91.76 0.0e+00 5.202e-07 0.0e+00 54976.6094 1.4e-08 5.200e-07 4.0e-08 -1.600e-08 3.7e-08 2.04 OPT:[dsw+17] ar4 * - -2616 B2315+21 J2317+2149 23:17:57.8 4.2e-03 +21:49:48.0 9.9e-02 * 0 * 0 * 0 48716.00 95.831 -36.075 1.444653 3.0e-12 1.05e-15 1.7e-20 -1.700e-28 1.1e-28 * 0 48716.00 20.87 3.1e-04 * 0 15.00 3.0e+00 0.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * gb1,ar4,gb4 * -2617 J2319+6411 J2319+6411 23:19:35.2 2.0e-03 +64:11:25.7 7.0e-03 * 0 * 0 * 0 56100.00 113.138 3.079 0.216018 6.0e-14 1.63e-16 5.0e-19 * 0 * 0 56100.00 246.00 0 * 0 * 0 0.27 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * gb350,htru_eff * -2618 B2319+60 J2321+6024 23:21:55.2 1.3e-02 +60:24:30.7 9.5e-02 -17.000 2.2e+01 -7.000 1.9e+01 * 0 49303.00 112.095 -0.566 2.256488 5.0e-12 7.04e-15 4.0e-20 -1.060e-27 1.0e-28 * 0 49303.00 94.59 1.8e-02 * 0 36.00 5.0e+00 12.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * jb1,gb1,gb3,gb4,gbncc * -2619 J2322+2057 J2322+2057 23:22:22.3 7.0e-05 +20:57:02.6 1.4e-03 -18.400 4.0e-01 -15.400 5.0e-01 * 0 55000.00 96.515 -37.310 0.004808 1.7e-15 9.66e-21 2.0e-23 * 0 * 0 55000.00 13.36 4.0e-02 -0.003 5.0e-03 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * ar4 * -2620 J2322-2650 J2322-2650 23:22:34.6 3.0e-05 -26:50:58.3 6.0e-04 -2.400 2.0e-01 -8.300 4.0e-01 4.400 1.2e+00 56152.00 28.637 -70.228 0.003463 1.1e-16 5.83e-22 1.5e-24 * 0 * 0 56152.00 6.15 2.0e-03 * 0 * 0 0.16 2.0e-02 ELL1 * 0 0.3230 6.0e-09 0.0028 6.0e-07 345.96 0.0e+00 8.246e-04 0.0e+00 56130.3541 2.0e-05 -2.000e-04 4.0e-04 8.000e-04 4.0e-04 0.23 OPT:(?)[sbb+18] htru_pks * - -2621 B2321-61 J2324-6054 23:24:26.9 8.0e-02 -60:54:06.1 6.0e-01 * 0 * 0 * 0 47401.81 320.425 -53.172 2.347486 2.0e-10 2.59e-15 3.0e-18 * 0 * 0 47401.81 14.00 6.0e-01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.21 * mol2 * -2622 J2325-0530 J2325-0530 23:25:15.3 1.0e-01 -05:30:39 4.0e+00 * 0 * 0 * 0 56774.00 75.579 -60.200 0.868735 8.0e-12 1.03e-15 1.6e-18 * 0 * 0 56774.00 14.97 7.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.49 * gb350 RRAT -2623 B2323+63 J2325+6316 23:25:13.3 5.5e-02 +63:16:52.3 3.7e-01 * 0 * 0 * 0 48309.00 113.418 2.013 1.436310 1.1e-11 2.83e-15 7.0e-20 6.900e-28 3.0e-28 * 0 48309.00 197.37 5.0e-02 * 0 8.00 2.0e+00 2.10 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * gb1,gbncc * -2624 B2324+60 J2326+6113 23:26:58.6 2.5e-03 +61:13:36.4 1.8e-02 * 0 * 0 * 0 49678.00 112.946 0.003 0.233652 3.0e-13 3.53e-16 1.7e-21 2.900e-27 6.0e-28 * 0 49678.00 122.61 5.0e-03 * 0 17.00 1.0e+00 4.40 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * jb1,gb1,gb2,gb3,gbncc * -2625 J2326+6141 J2326+6141 23:26 0 +61 0 * 0 * 0 * 0 54100.00 112.761 -0.173 0.790000 0 * 0 * 0 * 0 54100.00 33.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * gb350 * - -2626 J2329+16 J2329+16 23:29:50 3.1e+01 +16:57 8.0e+00 * 0 * 0 * 0 55343.00 96.414 -41.682 0.632100 0 * 0 * 0 * 0 55343.00 31.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -2627 B2327-20 J2330-2005 23:30:26.8 7.0e-03 -20:05:29.6 1.7e-01 74.700 1.9e+00 5.000 3.0e+00 * 0 49878.00 49.394 -70.190 1.643622 5.0e-12 4.63e-15 5.0e-20 3.400e-29 3.0e-28 * 0 49878.00 8.46 2.0e-03 * 0 42.00 8.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.86 * misc,mol2,pks70 * -2628 J2333+6145 J2333+6145 23:33:19.4 5.0e-03 +61:45:30.0 3.0e-02 * 0 * 0 * 0 56100.00 113.831 0.275 0.756899 7.0e-12 1.18e-15 6.0e-19 * 0 * 0 56100.00 125.00 0 * 0 * 0 0.47 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * htru_eff * -2629 B2334+61 J2337+6151 23:37:05.7 1.0e-02 +61:51:01.5 7.0e-02 -1.000 1.8e+01 -15.000 1.6e+01 * 0 53100.00 114.284 0.233 0.495370 5.0e-12 1.93e-13 8.0e-19 1.446e-23 9.0e-26 -3.700e-31 2.0e-32 54521.00 58.41 1.5e-02 * 0 10.00 2.0e+00 1.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.70 SNR:G114.3+0.3[frs93] gb2,gb3 * -2630 J2339-0533 J2339-0533 23:39:38.7 1.0e-02 -05:33:05.3 3.0e-02 11.000 4.0e+00 -29.000 1.0e+01 * 0 55100.00 81.349 -62.476 0.002884 1.7e-16 1.41e-20 7.0e-24 * 0 * 0 55100.00 * 0 * 0 * 0 * 0 ELL1 * 0 0.1931 4.0e-11 0.6117 4.0e-06 177.27 0.0e+00 2.102e-04 0.0e+00 55791.9182 3.0e-07 1.000e-05 1.0e-05 -2.100e-04 1.0e-07 1.10 GRS:0FGL_J2339.8-0530[aaa+10c],OPT:[rs11 FermiAssoc HE[rbs+14] - -2631 J2340+08 J2340+08 23:40:45 7.0e+00 +08:33:00 1.0e+02 * 0 * 0 * 0 56098.00 94.821 -50.423 0.303300 0 * 0 * 0 * 0 56098.00 24.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.29 * ar327 * -2632 J2343+6221 J2343+6221 23:43 0 +62:21 0 * 0 * 0 * 0 54100.00 115.085 0.526 1.799000 0 * 0 * 0 * 0 54100.00 117.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.62 * gb350 * -2633 J2346-0609 J2346-0609 23:46:50.4 1.7e-02 -06:09:59.5 5.6e-01 * 0 * 0 * 0 51021.00 83.798 -64.014 1.181463 5.0e-12 1.36e-15 5.0e-20 -1.100e-27 1.2e-27 * 0 51021.00 22.50 1.9e-02 * 0 11.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks70 * -2634 J2352+65 J2352+65 23:52 0 +65 0 * 0 * 0 * 0 54100.00 116.702 2.850 1.164000 0 * 0 * 0 * 0 54100.00 152.00 0 * 0 26.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.05 * gb350,gbncc * -2635 J2353+85 J2353+85 23:54 7.0e+00 +85:34 8.0e+00 * 0 * 0 * 0 56292.00 121.740 22.828 1.011691 3.7e-05 * 0 * 0 * 0 56292.00 38.00 2.0e+00 * 0 4.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.58 * gbncc * - -2636 B2351+61 J2354+6155 23:54:04.7 4.0e-03 +61:55:46.7 2.0e-02 22.000 3.0e+00 6.000 2.0e+00 * 0 49405.00 116.239 -0.194 0.944784 1.1e-11 1.63e-14 9.0e-20 2.400e-26 1.6e-27 * 0 49405.00 94.66 6.0e-03 * 0 17.00 3.0e+00 5.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * gb1,gb2,gb3,gb4,gbncc * 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+import astropy.units as u +import struct, os, os.path, presto, psr_utils, math, csv ## The most recent catalogs are available here: ## @@ -9,10 +11,10 @@ ## And here is the command used to get the data: # Note version number now! -# http://www.atnf.csiro.au/people/pulsar/psrcat/proc_form.php?version=1.58&Name=Name&JName=JName&RaJ=RaJ&DecJ=DecJ&PMRA=PMRA&PMDec=PMDec&PX=PX&PosEpoch=PosEpoch&GL=GL&GB=GB&P0=P0&P1=P1&F2=F2&F3=F3&PEpoch=PEpoch&DM=DM&DM1=DM1&S400=S400&S1400=S1400&Binary=Binary&T0=T0&PB=PB&A1=A1&OM=OM&Ecc=Ecc&Tasc=Tasc&Eps1=Eps1&Eps2=Eps2&Dist=Dist&Assoc=Assoc&Survey=Survey&Type=Type&startUserDefined=true&c1_val=&c2_val=&c3_val=&c4_val=&sort_attr=jname&sort_order=asc&condition=&pulsar_names=&ephemeris=short&coords_unit=raj%2Fdecj&radius=&coords_1=&coords_2=&style=Short+with+errors&no_value=*&x_axis=&x_scale=linear&y_axis=&y_scale=linear&state=query&table_bottom.x=40&table_bottom.y=0 +# http://www.atnf.csiro.au/people/pulsar/psrcat/proc_form.php?version=1.59&Name=Name&JName=JName&RaJ=RaJ&DecJ=DecJ&PMRA=PMRA&PMDec=PMDec&PX=PX&PosEpoch=PosEpoch&GL=GL&GB=GB&F0=F0&F1=F1&F2=F2&F3=F3&PEpoch=PEpoch&DM=DM&DM1=DM1&S400=S400&S1400=S1400&Binary=Binary&T0=T0&PB=PB&A1=A1&OM=OM&Ecc=Ecc&Tasc=Tasc&Eps1=Eps1&Eps2=Eps2&Dist=Dist&Assoc=Assoc&Survey=Survey&Type=Type&startUserDefined=true&c1_val=&c2_val=&c3_val=&c4_val=&sort_attr=jname&sort_order=asc&condition=&pulsar_names=&ephemeris=short&coords_unit=raj%2Fdecj&radius=&coords_1=&coords_2=&style=Long+csv+with+errors&no_value=*&x_axis=&x_scale=linear&y_axis=&y_scale=linear&state=query&table_bottom.x=40&table_bottom.y=0 params = ["NAME", "PSRJ", "RAJ", "DECJ", "PMRA", "PMDEC", "PX", "POSEPOCH", - "Gl", "Gb", "P0", "P1", "F2", "F3", "PEPOCH", "DM", "DM1", + "Gl", "Gb", "F0", "F1", "F2", "F3", "PEPOCH", "DM", "DM1", "S400", "S1400", "BINARY", "T0", "PB", "A1", "OM", "ECC", "TASC", "EPS1", "EPS2", "DIST", "ASSOC", "SURVEY", "PSR"] params_with_errs = ["RAJ", "DECJ", "PMRA", "PMDEC", "PX", "P0", "P1", "F2", "F3", @@ -21,13 +23,12 @@ digits = '0123456789' class psr(object): - def __init__(self, line): - parts = line.split()[1:] - part_index = 0 - param_index = 0 - while param_index < len(params): - param = params[param_index] - #print param, parts[part_index] + def __init__(self, parts, indices): + # Do RAJ and DECJ first + posn = c.SkyCoord(parts[indices['RAJ']]+" "+parts[indices['DECJ']], + frame=c.ICRS, unit=(u.hourangle, u.deg)) + for param in params: + part_index = indices[param] if param=="NAME": if not parts[part_index]=='*': self.name = parts[part_index][1:] @@ -41,49 +42,22 @@ def __init__(self, line): elif param=="RAJ": if not parts[part_index]=='*': self.rajstr = parts[part_index] - hms = list(map(float, parts[part_index].split(':'))) - if len(hms)==3: - h, m, s = hms - elif len(hms)==2: - h, m = hms - s = 0.0 - elif len(hms)==1: - h = hms[0] - m = s = 0.0 - self.ra = psr_utils.hms_to_rad(h, m, s) + self.ra = posn.ra.to(u.rad).value self.raerr = float(parts[part_index+1]) * psr_utils.SECTORAD - part_index += 1 elif param=="DECJ": if not parts[part_index]=='*': self.decjstr = parts[part_index] - dms = list(map(float, parts[part_index].split(':'))) - if len(dms)==3: - d, m, s = dms - elif len(dms)==2: - d, m = dms - s = 0.0 - elif len(dms)==1: - d = dms[0] - m = s = 0.0 - # Fixed silly dec=-0.0 bug - if parts[part_index].split(":")[0]=="-00": - m = -m - s = -s - self.dec = psr_utils.dms_to_rad(d, m, s) + self.dec = posn.dec.to(u.rad).value self.decerr = float(parts[part_index+1]) * psr_utils.ARCSECTORAD - part_index += 1 elif param=="PMRA": if not parts[part_index]=='*': self.pmra, self.pmraerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PMDEC": if not parts[part_index]=='*': self.pmdec, self.pmdecerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PX": if not parts[part_index]=='*': self.px, self.pxerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="POSEPOCH": if not parts[part_index]=='*': self.posepoch = float(parts[part_index]) @@ -93,31 +67,27 @@ def __init__(self, line): elif param=="Gb": if not parts[part_index]=='*': self.b = float(parts[part_index]) - elif param=="P0": + elif param=="F0": if not parts[part_index]=='*': - self.p, self.perr = float(parts[part_index]), float(parts[part_index+1]) - self.f, self.ferr = psr_utils.pferrs(self.p, self.perr) + self.f, self.ferr = float(parts[part_index]), float(parts[part_index+1]) + self.p, self.perr = psr_utils.pferrs(self.f, self.ferr) else: self.f = self.ferr = self.p = self.perr = 0.0 self.fd = self.fdd = self.fddd = 0.0 self.pd = self.pdd = self.pddd = 0.0 self.fderr = self.fdderr = self.fddderr = 0.0 self.pderr = self.pdderr = self.pddderr = 0.0 - part_index += 1 - elif param=="P1": + elif param=="F1": if not parts[part_index]=='*': - self.pd, self.pderr = float(parts[part_index]), float(parts[part_index+1]) - self.f, self.ferr, self.fd, self.fderr = psr_utils.pferrs(self.p, self.perr, self.pd, self.pderr) - part_index += 1 + self.fd, self.fderr = float(parts[part_index]), float(parts[part_index+1]) + self.p, self.perr, self.pd, self.pderr = psr_utils.pferrs(self.f, self.ferr, self.fd, self.fderr) elif param=="F2": if not parts[part_index]=='*': self.fdd, self.fdderr = float(parts[part_index]), float(parts[part_index+1]) self.p, self.pd, self.pdd = presto.p_to_f(self.f, self.fd, self.fdd) - part_index += 1 elif param=="F3": if not parts[part_index]=='*': self.fddd, self.fddderr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PEPOCH": if parts[part_index]=='*': self.pepoch = 51000.0 # Just to pick a reasonable value @@ -128,23 +98,19 @@ def __init__(self, line): self.dm, self.dmerr = float(parts[part_index]), float(parts[part_index+1]) else: self.dm = self.dmerr = 0.0 - part_index += 1 elif param=="DM1": if not parts[part_index]=='*': self.ddm, self.ddmerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="S400": if not parts[part_index]=='*': self.s400, self.s400err = float(parts[part_index]), float(parts[part_index+1]) else: self.s400 = None - part_index += 1 elif param=="S1400": if not parts[part_index]=='*': self.s1400, self.s1400err = float(parts[part_index]), float(parts[part_index+1]) else: self.s1400 = None - part_index += 1 elif param=="BINARY": if not parts[part_index]=='*': self.binary_model = parts[part_index] @@ -156,31 +122,24 @@ def __init__(self, line): elif param=="T0": if self.binary and not parts[part_index]=='*': self.To, self.Toerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PB": if self.binary and not parts[part_index]=='*': self.pb, self.pberr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="A1": if self.binary and not parts[part_index]=='*': self.x, self.xerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="OM": if self.binary and not parts[part_index]=='*': self.w, self.werr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="ECC": if self.binary and not parts[part_index]=='*': self.e, self.eerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="TASC": if self.binary and self.binary_model=="ELL1" and not parts[part_index]=='*': self.To, self.Toerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="EPS1": if self.binary and self.binary_model=="ELL1" and not parts[part_index]=='*': self.eps1, self.eps1err = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="EPS2": if self.binary and self.binary_model=="ELL1" and not parts[part_index]=='*': self.eps2, self.eps2err = float(parts[part_index]), float(parts[part_index+1]) @@ -190,7 +149,6 @@ def __init__(self, line): self.w = psr_utils.RADTODEG*math.atan2(self.eps1, self.eps2) if (self.w < 0.0): self.w += 360.0 self.werr = 1.0 # This needs fixing... - part_index += 1 elif param=="DIST": if not parts[part_index]=='*': self.dist = float(parts[part_index]) @@ -211,8 +169,6 @@ def __init__(self, line): self.type = parts[part_index] else: self.type = None - part_index += 1 - param_index += 1 self.alias = "" def __str__(self): out = '' @@ -279,9 +235,12 @@ def __str__(self): (self.To, self.Toerr) return out def pack_structs(self): - out = struct.pack("13s9s10s12d", \ - self.jname, self.name, self.alias.lower(), - self.ra, self.raerr, self.dec, self.decerr, + out = struct.Struct("13s9s10s12d") + packed = out.pack(self.jname.encode('utf-8'), + self.name.encode('utf-8'), + self.alias.lower().encode('utf-8'), + self.ra, self.raerr, + self.dec, self.decerr, self.p, self.perr, self.pd, self.pderr, self.dm, self.dmerr, self.pepoch, self.binary) if self.binary: @@ -295,28 +254,29 @@ def pack_structs(self): if self.werr is None: self.werr = 0.0 if self.To is None: self.To = 0.0 if self.Toerr is None: self.Toerr = 0.0 - out = out + struct.pack("10d", - self.pb, self.pberr, self.x, self.xerr, - self.e, self.eerr, self.w, self.werr, - self.To, self.Toerr) - return out + packed += struct.pack("10d", + self.pb, self.pberr, self.x, self.xerr, + self.e, self.eerr, self.w, self.werr, + self.To, self.Toerr) + return packed pulsars = {} num_binaries = 0 # Read the file that was taken from the ATNF database presto_path = os.getenv("PRESTO") -infile = open(os.path.join(presto_path, "lib", "psr_catalog.txt")) -for line in infile: - line, sep, comment = line.partition('#') - line = line.strip() - if not line: - continue - if line[0] in digits: - currentpulsar = psr(line) +with open(os.path.join(presto_path, "lib", "psr_catalog.txt")) as csvfile: + reader = csv.reader(csvfile, delimiter=';') + first = next(reader) + indices = {} + for ii in range(len(first)): + if first[ii]!='' and first!="#": + indices[first[ii]] = ii + units = next(reader) + for row in reader: + currentpulsar = psr(row, indices) pulsars[currentpulsar.jname] = currentpulsar if currentpulsar.binary: num_binaries += 1 -infile.close() # Now add the aliases to the pulsars infile = open(os.path.join(presto_path, "lib", "aliases.txt")) @@ -383,7 +343,7 @@ def pack_structs(self): if __name__ == '__main__' : presto_path = os.getenv("PRESTO") outfilename = os.path.join(presto_path, "lib", "pulsars.cat") - outfile = open(outfilename, "w") + outfile = open(outfilename, "wb") print("Writing %d pulsars (%d binaries) to %s" % \ (len(psrs), num_binaries, outfilename)) for ii, psr in enumerate(psrs): From 6713dd7d67ce10dd98ee64bedff009e7bb60eeaa Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Thu, 17 Jan 2019 12:36:22 -0500 Subject: [PATCH 031/146] Fixed python2 --> 3 issues with float vs integer division and str vs byte types --- bin/pyplotres.py | 4 ++-- lib/python/residuals.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 238f24530..db4b1db2f 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -202,7 +202,7 @@ def get_xdata(self, key): """Return label describing xaxis and the corresponding data given keyword 'key'. """ - if not isinstance(key, bytes): + if not (isinstance(key, bytes) or isinstance(key, str)): raise ValueError("key must be of type string.") xopt = key.lower() if xopt == 'numtoa': @@ -228,7 +228,7 @@ def get_ydata(self, key, postfit=True): 'postfit' is a boolean argument that determines if postfit, or prefit data is to be returned. """ - if not isinstance(key, bytes): + if not (isinstance(key, bytes) or isinstance(key, str)): raise ValueError("key must be of type string.") yopt = key.lower() if postfit: diff --git a/lib/python/residuals.py b/lib/python/residuals.py index f5a9cd2a4..01e9c4560 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -61,7 +61,7 @@ def read_residuals(filename="resid2.tmp"): not (reclen==struct.calcsize(rectype))): print("Warning: possibly reading residuals incorrectly... don't understand record size") infile.seek(0, 0) # position at file start - r.numTOAs = filelen / reclen + r.numTOAs = int(filelen / reclen) r.bary_TOA = Num.zeros(r.numTOAs, 'd') r.postfit_phs = Num.zeros(r.numTOAs, 'd') r.postfit_sec = Num.zeros(r.numTOAs, 'd') From 070fb023684623f5f96d41c3f72d5c5fe22dc8ef Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Fri, 18 Jan 2019 16:47:50 -0500 Subject: [PATCH 032/146] python2 to 3 compatbility for integer division and testing for string types --- bin/pyplotres.py | 16 ++++++++++++++-- lib/python/residuals.py | 2 +- 2 files changed, 15 insertions(+), 3 deletions(-) diff --git a/bin/pyplotres.py b/bin/pyplotres.py index db4b1db2f..fb9429098 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -202,7 +202,13 @@ def get_xdata(self, key): """Return label describing xaxis and the corresponding data given keyword 'key'. """ - if not (isinstance(key, bytes) or isinstance(key, str)): + # Python2/3 compatible way of checking for string types + # Taken from https://stackoverflow.com/questions/11301138/how-to-check-if-variable-is-string-with-python-2-and-3-compatibility + try: + basestring + except NameError: + basestring = str + if not isinstance(key, basestring): raise ValueError("key must be of type string.") xopt = key.lower() if xopt == 'numtoa': @@ -228,7 +234,13 @@ def get_ydata(self, key, postfit=True): 'postfit' is a boolean argument that determines if postfit, or prefit data is to be returned. """ - if not (isinstance(key, bytes) or isinstance(key, str)): + # Python2/3 compatible way of checking for string types + # Taken from https://stackoverflow.com/questions/11301138/how-to-check-if-variable-is-string-with-python-2-and-3-compatibility + try: + basestring + except NameError: + basestring = str + if not isinstance(key, basestring): raise ValueError("key must be of type string.") yopt = key.lower() if postfit: diff --git a/lib/python/residuals.py b/lib/python/residuals.py index 01e9c4560..69ae4c720 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -61,7 +61,7 @@ def read_residuals(filename="resid2.tmp"): not (reclen==struct.calcsize(rectype))): print("Warning: possibly reading residuals incorrectly... don't understand record size") infile.seek(0, 0) # position at file start - r.numTOAs = int(filelen / reclen) + r.numTOAs = filelen // reclen r.bary_TOA = Num.zeros(r.numTOAs, 'd') r.postfit_phs = Num.zeros(r.numTOAs, 'd') r.postfit_sec = Num.zeros(r.numTOAs, 'd') From 20b4c7af4469fd9777a7762983a4a738b01ab95d Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 12:11:13 -0400 Subject: [PATCH 033/146] Explicitly cast 'bins' as integer in 'rotate' function so that it can be used as a slice index in arrays --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 3de44bf5b..8880b5582 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = bins % len(arr) + bins = int(bins % len(arr)) if bins==0: return arr else: From 04dcd01d3ed48fd620912f1ad83afe3f9950ef55 Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 14:03:50 -0400 Subject: [PATCH 034/146] Proper implementation of casting bins to integer in rotate function --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 8880b5582..6106b4ecd 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = int(bins % len(arr)) + bins = int(bins) % len(arr) if bins==0: return arr else: From a0fdcb8e4ea2a66ea06b0519385d9a33391ab9f1 Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 12:11:13 -0400 Subject: [PATCH 035/146] Explicitly cast 'bins' as integer in 'rotate' function so that it can be used as a slice index in arrays --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 6106b4ecd..8880b5582 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = int(bins) % len(arr) + bins = int(bins % len(arr)) if bins==0: return arr else: From 6e1927154b1a200f4d389a5e724ad797f0f19a87 Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 14:03:50 -0400 Subject: [PATCH 036/146] Proper implementation of casting bins to integer in rotate function --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 8880b5582..6106b4ecd 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = int(bins % len(arr)) + bins = int(bins) % len(arr) if bins==0: return arr else: From bb7d41b574135c04953c32e5827915b72dfded9f Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 11:50:55 +0200 Subject: [PATCH 037/146] improve setup.py script * move to root so we have access to all files like include files * less need for special env variables * move tempo python library to python folder * install all scripts in /bin/* --- .gitignore | 4 + MANIFEST.in | 3 + pyproject.toml | 3 + {lib/python => python/presto}/Pgplot.py | 0 python/presto/__init__.py | 0 {lib/python => python/presto}/barycenter.py | 0 {lib/python => python/presto}/bestprof.py | 0 {lib/python => python/presto}/binary_psr.py | 0 .../presto}/cosine_rand.pickle | Bin {lib/python => python/presto}/cosine_rand.py | 0 {lib/python => python/presto}/events.py | 0 {lib/python => python/presto}/filterbank.py | 0 {lib/python => python/presto}/infodata.py | 0 {lib/python => python/presto}/injectpsr.py | 0 {lib/python => python/presto}/kuiper.py | 0 {lib/python => python/presto}/mpfit.py | 0 {lib/python => python/presto}/parfile.py | 0 {lib/python => python/presto}/polycos.py | 0 {lib/python => python/presto}/prepfold.py | 0 .../python => python/presto}/psr_constants.py | 0 {lib/python => python/presto}/psr_utils.py | 0 {lib/python => python/presto}/psrfits.py | 0 {lib/python => python/presto}/pypsrcat.py | 0 {lib/python => python/presto}/residuals.py | 0 {lib/python => python/presto}/rfifind.py | 0 {lib/python => python/presto}/sifting.py | 0 {lib/python => python/presto}/sigproc.py | 0 {lib/python => python/presto}/simple_roots.py | 0 {lib/python => python/presto}/sinc_interp.py | 0 .../presto}/singlepulse/__init__.py | 0 .../presto}/singlepulse/bary_and_topo.py | 0 .../presto}/singlepulse/make_spd.py | 0 .../presto}/singlepulse/plot_spd.py | 0 .../presto}/singlepulse/read_spd.py | 0 .../presto}/singlepulse/rrattrap.py | 0 .../presto}/singlepulse/rrattrap_config.py | 0 .../presto}/singlepulse/sp_pgplot.py | 0 .../presto}/singlepulse/spcand.py | 0 .../presto}/singlepulse/spio.py | 0 {lib/python => python/presto}/spectra.py | 0 {lib/python => python/presto}/waterfaller.py | 0 python/setup.py | 74 ---------------- setup.py | 83 ++++++++++++++++++ 43 files changed, 93 insertions(+), 74 deletions(-) create mode 100644 MANIFEST.in create mode 100644 pyproject.toml rename {lib/python => python/presto}/Pgplot.py (100%) create mode 100644 python/presto/__init__.py rename {lib/python => python/presto}/barycenter.py (100%) rename {lib/python => python/presto}/bestprof.py (100%) rename {lib/python => python/presto}/binary_psr.py (100%) rename {lib/python => python/presto}/cosine_rand.pickle (100%) rename {lib/python => python/presto}/cosine_rand.py (100%) rename {lib/python => python/presto}/events.py (100%) rename {lib/python => python/presto}/filterbank.py (100%) rename {lib/python => python/presto}/infodata.py (100%) rename {lib/python => python/presto}/injectpsr.py (100%) rename {lib/python => python/presto}/kuiper.py (100%) rename {lib/python => python/presto}/mpfit.py (100%) rename {lib/python => python/presto}/parfile.py (100%) rename {lib/python => python/presto}/polycos.py (100%) rename {lib/python => python/presto}/prepfold.py (100%) rename {lib/python => python/presto}/psr_constants.py (100%) rename {lib/python => python/presto}/psr_utils.py (100%) rename {lib/python => python/presto}/psrfits.py (100%) rename {lib/python => python/presto}/pypsrcat.py (100%) rename {lib/python => python/presto}/residuals.py (100%) rename {lib/python => python/presto}/rfifind.py (100%) rename {lib/python => python/presto}/sifting.py (100%) rename {lib/python => python/presto}/sigproc.py (100%) rename {lib/python => python/presto}/simple_roots.py (100%) rename {lib/python => python/presto}/sinc_interp.py (100%) rename {lib/python => python/presto}/singlepulse/__init__.py (100%) rename {lib/python => python/presto}/singlepulse/bary_and_topo.py (100%) rename {lib/python => python/presto}/singlepulse/make_spd.py (100%) rename {lib/python => python/presto}/singlepulse/plot_spd.py (100%) rename {lib/python => python/presto}/singlepulse/read_spd.py (100%) rename {lib/python => python/presto}/singlepulse/rrattrap.py (100%) rename {lib/python => python/presto}/singlepulse/rrattrap_config.py (100%) rename {lib/python => python/presto}/singlepulse/sp_pgplot.py (100%) rename {lib/python => python/presto}/singlepulse/spcand.py (100%) rename {lib/python => python/presto}/singlepulse/spio.py (100%) rename {lib/python => python/presto}/spectra.py (100%) rename {lib/python => python/presto}/waterfaller.py (100%) delete mode 100644 python/setup.py create mode 100644 setup.py diff --git a/.gitignore b/.gitignore index 9e3d08192..1893acb8e 100644 --- a/.gitignore +++ b/.gitignore @@ -58,3 +58,7 @@ python/build/ src/slalib/sla_test src/makewisdom src/fftw_wisdom.txt +MANIFEST +.venv*/ +dist/ + diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 000000000..8083cda10 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,3 @@ +recursive-include bin * +include pyproject.toml +recursive-include include *.h diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 000000000..b78261f96 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,3 @@ +# pep 518 way of specifying setup requirements +[build-system] +requires = ["setuptools", "wheel", "numpy"] diff --git a/lib/python/Pgplot.py b/python/presto/Pgplot.py similarity index 100% rename from lib/python/Pgplot.py rename to python/presto/Pgplot.py diff --git a/python/presto/__init__.py b/python/presto/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/lib/python/barycenter.py b/python/presto/barycenter.py similarity index 100% rename from lib/python/barycenter.py rename to python/presto/barycenter.py diff --git a/lib/python/bestprof.py b/python/presto/bestprof.py similarity index 100% rename from lib/python/bestprof.py rename to python/presto/bestprof.py diff --git a/lib/python/binary_psr.py b/python/presto/binary_psr.py similarity index 100% rename from lib/python/binary_psr.py rename to python/presto/binary_psr.py diff --git a/lib/python/cosine_rand.pickle b/python/presto/cosine_rand.pickle similarity index 100% rename from lib/python/cosine_rand.pickle rename to python/presto/cosine_rand.pickle diff --git a/lib/python/cosine_rand.py b/python/presto/cosine_rand.py similarity index 100% rename from lib/python/cosine_rand.py rename to python/presto/cosine_rand.py diff --git a/lib/python/events.py b/python/presto/events.py similarity index 100% rename from lib/python/events.py rename to python/presto/events.py diff --git a/lib/python/filterbank.py b/python/presto/filterbank.py similarity index 100% rename from lib/python/filterbank.py rename to python/presto/filterbank.py diff --git a/lib/python/infodata.py b/python/presto/infodata.py similarity index 100% rename from lib/python/infodata.py rename to python/presto/infodata.py diff --git a/lib/python/injectpsr.py b/python/presto/injectpsr.py similarity index 100% rename from lib/python/injectpsr.py rename to python/presto/injectpsr.py diff --git a/lib/python/kuiper.py b/python/presto/kuiper.py similarity index 100% rename from lib/python/kuiper.py rename to python/presto/kuiper.py diff --git a/lib/python/mpfit.py b/python/presto/mpfit.py similarity index 100% rename from lib/python/mpfit.py rename to python/presto/mpfit.py diff --git a/lib/python/parfile.py b/python/presto/parfile.py similarity index 100% rename from lib/python/parfile.py rename to python/presto/parfile.py diff --git a/lib/python/polycos.py b/python/presto/polycos.py similarity index 100% rename from lib/python/polycos.py rename to python/presto/polycos.py diff --git a/lib/python/prepfold.py b/python/presto/prepfold.py similarity index 100% rename from lib/python/prepfold.py rename to python/presto/prepfold.py diff --git a/lib/python/psr_constants.py b/python/presto/psr_constants.py similarity index 100% rename from lib/python/psr_constants.py rename to python/presto/psr_constants.py diff --git a/lib/python/psr_utils.py b/python/presto/psr_utils.py similarity index 100% rename from lib/python/psr_utils.py rename to python/presto/psr_utils.py diff --git a/lib/python/psrfits.py b/python/presto/psrfits.py similarity index 100% rename from lib/python/psrfits.py rename to python/presto/psrfits.py diff --git a/lib/python/pypsrcat.py b/python/presto/pypsrcat.py similarity index 100% rename from lib/python/pypsrcat.py rename to python/presto/pypsrcat.py diff --git a/lib/python/residuals.py b/python/presto/residuals.py similarity index 100% rename from lib/python/residuals.py rename to python/presto/residuals.py diff --git a/lib/python/rfifind.py b/python/presto/rfifind.py similarity index 100% rename from lib/python/rfifind.py rename to python/presto/rfifind.py diff --git a/lib/python/sifting.py b/python/presto/sifting.py similarity index 100% rename from lib/python/sifting.py rename to python/presto/sifting.py diff --git a/lib/python/sigproc.py b/python/presto/sigproc.py similarity index 100% rename from lib/python/sigproc.py rename to python/presto/sigproc.py diff --git a/lib/python/simple_roots.py b/python/presto/simple_roots.py similarity index 100% rename from lib/python/simple_roots.py rename to python/presto/simple_roots.py diff --git a/lib/python/sinc_interp.py b/python/presto/sinc_interp.py similarity index 100% rename from lib/python/sinc_interp.py rename to python/presto/sinc_interp.py diff --git a/lib/python/singlepulse/__init__.py b/python/presto/singlepulse/__init__.py similarity index 100% rename from lib/python/singlepulse/__init__.py rename to python/presto/singlepulse/__init__.py diff --git a/lib/python/singlepulse/bary_and_topo.py b/python/presto/singlepulse/bary_and_topo.py similarity index 100% rename from lib/python/singlepulse/bary_and_topo.py rename to python/presto/singlepulse/bary_and_topo.py diff --git a/lib/python/singlepulse/make_spd.py b/python/presto/singlepulse/make_spd.py similarity index 100% rename from lib/python/singlepulse/make_spd.py rename to python/presto/singlepulse/make_spd.py diff --git a/lib/python/singlepulse/plot_spd.py b/python/presto/singlepulse/plot_spd.py similarity index 100% rename from lib/python/singlepulse/plot_spd.py rename to python/presto/singlepulse/plot_spd.py diff --git a/lib/python/singlepulse/read_spd.py b/python/presto/singlepulse/read_spd.py similarity index 100% rename from lib/python/singlepulse/read_spd.py rename to python/presto/singlepulse/read_spd.py diff --git a/lib/python/singlepulse/rrattrap.py b/python/presto/singlepulse/rrattrap.py similarity index 100% rename from lib/python/singlepulse/rrattrap.py rename to python/presto/singlepulse/rrattrap.py diff --git a/lib/python/singlepulse/rrattrap_config.py b/python/presto/singlepulse/rrattrap_config.py similarity index 100% rename from lib/python/singlepulse/rrattrap_config.py rename to python/presto/singlepulse/rrattrap_config.py diff --git a/lib/python/singlepulse/sp_pgplot.py b/python/presto/singlepulse/sp_pgplot.py similarity index 100% rename from lib/python/singlepulse/sp_pgplot.py rename to python/presto/singlepulse/sp_pgplot.py diff --git a/lib/python/singlepulse/spcand.py b/python/presto/singlepulse/spcand.py similarity index 100% rename from lib/python/singlepulse/spcand.py rename to python/presto/singlepulse/spcand.py diff --git a/lib/python/singlepulse/spio.py b/python/presto/singlepulse/spio.py similarity index 100% rename from lib/python/singlepulse/spio.py rename to python/presto/singlepulse/spio.py diff --git a/lib/python/spectra.py b/python/presto/spectra.py similarity index 100% rename from lib/python/spectra.py rename to python/presto/spectra.py diff --git a/lib/python/waterfaller.py b/python/presto/waterfaller.py similarity index 100% rename from lib/python/waterfaller.py rename to python/presto/waterfaller.py diff --git a/python/setup.py b/python/setup.py deleted file mode 100644 index 3bdf215ac..000000000 --- a/python/setup.py +++ /dev/null @@ -1,74 +0,0 @@ -from __future__ import print_function -from distutils.core import setup, Extension -from distutils.sysconfig import get_python_inc, get_python_lib -import os -import sys -import numpy - -################################################################### -# build the extension -# - -define_macros = [] -undef_macros = [] -extra_compile_args = ["-DUSEFFTW"] -include_dirs = [] - -# Note: you might need to add "gfortran" to the following list if -# you see errors relating to missing "g" functions.... -ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] -ppgplot_library_dirs = ["/usr/X11R6/lib"] - -presto_libraries = ["presto", "fftw3f", "m"] -presto_library_dirs = [] - -# Use NumPy instead of Numeric or numarray -make_extension = Extension -#include_dirs.append(numpy.get_numpy_include()) -include_dirs.append(numpy.get_include()) -ppgplot_include_dirs = include_dirs -presto_include_dirs = include_dirs -undef_macros.append('USE_NUMARRAY') - -if os.name == "posix": - if "PGPLOT_DIR" in os.environ: - ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) - ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) - else: - print("PGPLOT_DIR env var not defined!", file=sys.stderr) - if "PRESTO" in os.environ: - presto_library_dirs.append(os.path.join(os.environ["PRESTO"], "lib")) - presto_include_dirs.append(os.path.join(os.environ["PRESTO"], "include")) - else: - print("PRESTO env var not defined!", file=sys.stderr) -else: - raise Exception("os not supported") - -ext_ppgplot = make_extension('_ppgplot', - [os.path.join('ppgplot_src','_ppgplot.c')], - include_dirs=ppgplot_include_dirs, - libraries=ppgplot_libraries, - library_dirs=ppgplot_library_dirs, - define_macros=define_macros, - extra_compile_args=extra_compile_args) - -ext_presto = make_extension('_presto', - [os.path.join('presto_src', 'presto_wrap.c')], - include_dirs=presto_include_dirs, - libraries=presto_libraries, - library_dirs=presto_library_dirs, - define_macros=define_macros, - extra_compile_args=extra_compile_args) - -################################################################### -# the package -# - -setup(name="PRESTO", - version="0.99", - description="Python interfaces to PGPLOT and PRESTO", - author="Scott Ransom (ppgplot from Nick Patavlis)", - author_email="sransom@nrao.edu", - packages=['ppgplot', 'presto'], - package_dir={'ppgplot':'ppgplot_src','presto':'presto_src'}, - ext_modules=[ext_ppgplot,ext_presto]) diff --git a/setup.py b/setup.py new file mode 100644 index 000000000..62beaaffe --- /dev/null +++ b/setup.py @@ -0,0 +1,83 @@ +from __future__ import print_function +import os +import sys +import numpy +from numpy.distutils.core import Extension, setup + + +version = "2.2" + +define_macros = [] +undef_macros = [] +extra_compile_args = ["-DUSEFFTW"] +include_dirs = [numpy.get_include()] + +# Note: you might need to add "gfortran" to the following list if +# you see errors relating to missing "g" functions.... +ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] +ppgplot_library_dirs = ["/usr/X11R6/lib"] + +presto_libraries = ["presto", "fftw3f", "m"] +presto_library_dirs = [] + +ppgplot_include_dirs = include_dirs +presto_include_dirs = include_dirs +undef_macros.append('USE_NUMARRAY') + +if os.name != "posix": + raise Exception("os not supported") + +if "PGPLOT_DIR" in os.environ: + ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) + ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) +else: + print("PGPLOT_DIR env var not defined!", file=sys.stderr) +if "PRESTO" in os.environ: + presto_library_dirs.append(os.path.join(os.environ["PRESTO"], "lib")) + presto_include_dirs.append(os.path.join(os.environ["PRESTO"], "include")) +else: + print("PRESTO env var not defined!", file=sys.stderr) + presto_include_dirs.append(os.path.join(os.path.dirname(__file__), + 'include')) + +ext_ppgplot = Extension('_ppgplot', + ['python/ppgplot_src/_ppgplot.c'], + include_dirs=ppgplot_include_dirs, + libraries=ppgplot_libraries, + library_dirs=ppgplot_library_dirs, + define_macros=define_macros, + extra_compile_args=extra_compile_args) + +ext_presto = Extension('_presto', + ['python/presto_src/presto_wrap.c'], + include_dirs=presto_include_dirs, + libraries=presto_libraries, + library_dirs=presto_library_dirs, + define_macros=define_macros, + extra_compile_args=extra_compile_args) + +# not working yet +ext_fftfit = Extension('fftfit', sources=['python/fftfit_src/brent.f', + 'python/fftfit_src/bcprof.f', + 'python/fftfit_src/bfccf.f', + 'python/fftfit_src/bffft.f', + 'python/fftfit_src/bfftfit.f', + 'python/fftfit_src/bfftfit.pyf']) + + +scripts = ['bin/' + i for i in os.listdir('bin')] + + +setup(name="presto", + version=version, + #install_requires=['numpy'], + scripts=scripts, + description="Python interfaces to PGPLOT and PRESTO", + author="Scott Ransom (ppgplot from Nick Patavlis)", + author_email="sransom@nrao.edu", + url="https://github.com/scottransom/presto", + packages=['presto', 'presto.ppgplot', 'presto.presto'], + package_dir={'presto.ppgplot': 'python/ppgplot_src', + 'presto.presto': 'python/presto_src', + 'presto': 'python/presto'}, + ext_modules=[ext_ppgplot,ext_presto]) #, ext_fftfit]) From 741a03046a5f8fab8043c676e70c3f1fac46f23f Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 13:20:23 +0200 Subject: [PATCH 038/146] cleanup internal importing structure --- bin/DDplan.py | 3 +- bin/GBNCC_search.py | 11 +- bin/GBT350_drift_prep.py | 6 +- bin/GBT350_drift_search.py | 11 +- bin/GUPPI_drift_prep.py | 13 +- bin/PALFA_presto_search.py | 8 +- bin/chooseN.py | 6 +- bin/dat2tim.py | 14 +- bin/detrend_dat.py | 2 +- bin/downsample_filterbank.py | 4 +- bin/event_peak.py | 8 +- bin/fb_truncate.py | 6 +- bin/filter_zerolags.py | 2 +- bin/fit_circular_orbit.py | 6 +- bin/fitorb.py | 9 +- bin/get_TOAs.py | 11 +- bin/gotocand.py | 24 +- bin/guppidrift2fil.py | 4 +- bin/injectpsr.py | 7 +- bin/make_spd.py | 19 +- bin/makezaplist.py | 8 +- bin/orbellipsefit.py | 7 +- bin/pfd_for_timing.py | 4 +- bin/plot_spd.py | 7 +- bin/powerstats.py | 5 +- bin/psrfits2fil.py | 6 +- bin/psrfits_quick_bandpass.py | 3 +- bin/pulsestack.py | 12 +- bin/pygaussfit.py | 8 +- bin/pyplotres.py | 12 +- bin/quick_prune_cands.py | 4 +- bin/quickffdots.py | 4 +- bin/rfifind_stats.py | 3 +- bin/rrattrap.py | 13 +- bin/single_pulse_search.py | 15 +- bin/sortwappfiles.py | 22 +- bin/subband_smearing.py | 2 +- bin/sum_profiles.py | 17 +- bin/tim2dat.py | 4 +- bin/waterfaller.py | 11 +- bin/weights_to_ignorechan.py | 6 +- python/presto/Pgplot.py | 36 +- python/presto/binary_psr.py | 4 +- python/presto/cosine_rand.py | 11 +- python/presto/events.py | 19 +- python/presto/filterbank.py | 5 +- python/presto/injectpsr.py | 5 +- python/presto/kuiper.py | 2 +- python/presto/mpfit.py | 1 - python/presto/parfile.py | 4 +- python/presto/polycos.py | 3 +- python/presto/prepfold.py | 8 +- python/presto/psr_utils.py | 563 ++++++++++++++++++++------------ python/presto/pypsrcat.py | 8 +- python/presto/residuals.py | 6 +- python/presto/rfifind.py | 14 +- python/presto/sifting.py | 12 +- python/presto/sigproc.py | 2 +- python/presto/sinc_interp.py | 7 +- python/presto/spectra.py | 2 +- python/presto_src/__init__.py | 516 +++++++++++++++-------------- python/short_analysis_simple.py | 8 +- setup.py | 10 +- 63 files changed, 892 insertions(+), 701 deletions(-) diff --git a/bin/DDplan.py b/bin/DDplan.py index 7ab3b9a2d..ce7fea12e 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,9 +1,8 @@ #!/usr/bin/env python from __future__ import print_function from builtins import zip -from builtins import object from numpy import * -from Pgplot import * +from presto.Pgplot import * class observation(object): def __init__(self, dt, f_ctr, BW, numchan, cDM): diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index 584c16468..c2c3a7d13 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -4,9 +4,10 @@ from builtins import str from builtins import range from builtins import object -import glob, os, os.path, shutil, socket, struct, tarfile, stat -import numpy, sys, presto, time, sigproc, sifting -import psr_utils as pu +import glob, os, os.path, shutil, socket, tarfile, stat +import numpy, sys, time +from presto import presto +from presto import sifting import astropy.io.fits as pyfits institution = "NRAO" @@ -283,7 +284,7 @@ def main(fits_filenm, workdir, ddplans): # Make sure the output directory (and parent directories) exist try: os.makedirs(job.outputdir) - os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | S_IROTH | S_IXOTH) + os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | stat.S_IROTH | stat.S_IXOTH) except: pass # Make sure the tmp directory (in a tmpfs mount) exists @@ -490,7 +491,7 @@ def main(fits_filenm, workdir, ddplans): if "singlepulse" in psfile: os.system("pstoimg -density 200 -antialias -crop a "+psfile) try: - os.remove(epsfile) + os.remove(psfile) except: pass else: os.system("pstoimg -density 200 -antialias -flip cw "+psfile) diff --git a/bin/GBT350_drift_prep.py b/bin/GBT350_drift_prep.py index cf15e14c8..38b90e2cf 100755 --- a/bin/GBT350_drift_prep.py +++ b/bin/GBT350_drift_prep.py @@ -1,8 +1,10 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import sys, os, random, sigproc -import psr_utils as pu +import sys, os, random +from presto import sigproc +from presto import psr_utils as pu + def spigot_samples_per_file(spigot_filenm): """ diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index 77888230c..f9f2b883e 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -4,9 +4,12 @@ from builtins import str from builtins import range from builtins import object -import glob, os, os.path, shutil, socket, struct, tarfile, stat -import numpy, sys, presto, time, sigproc, sifting -import psr_utils as pu +import glob, os, os.path, shutil, socket, tarfile, stat +import numpy, sys, time +from presto import sigproc +from presto import sifting +from presto import presto +from presto import psr_utils as pu institution = "NRAOCV" base_tmp_dir = "/dev/shm/" @@ -243,7 +246,7 @@ def main(fil_filenm, workdir, ddplans): # Make sure the output directory (and parent directories) exist try: os.makedirs(job.outputdir) - os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | S_IROTH | S_IXOTH) + os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | stat.S_IROTH | stat.S_IXOTH) except: pass # Make sure the tmp directory (in a tmpfs mount) exists diff --git a/bin/GUPPI_drift_prep.py b/bin/GUPPI_drift_prep.py index 7a10d03d4..1bf96d12d 100755 --- a/bin/GUPPI_drift_prep.py +++ b/bin/GUPPI_drift_prep.py @@ -1,22 +1,25 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import sys, os, random, sigproc -import psr_utils as pu -import pyfits +import sys, os, random +from astropy.io import fits +from presto import sigproc +from presto import psr_utils as pu import math as math + + def guppi_subint_per_file(guppi_filenm): """ guppi_samples_per_file(spigot_filenm,): Return the number of subints present in the GUPPI FITs file. """ - fitsfile = pyfits.open(guppi_filenm,memmap=True) + fitsfile = fits.open(guppi_filenm,memmap=True) nsubint = fitsfile['SUBINT'].header['NAXIS2'] fitsfile.close() return nsubint def guppi_time_per_subint(guppi_filenm): - fitsfile = pyfits.open(guppi_filenm,memmap=True) + fitsfile = fits.open(guppi_filenm,memmap=True) subint_hdr = fitsfile['SUBINT'].header time_subint = subint_hdr['TBIN']*subint_hdr['NSBLK'] fitsfile.close() diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index fb75ba796..84d3e52a0 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -4,8 +4,12 @@ from builtins import str from builtins import range from builtins import object -import glob, os, os.path, shutil, socket, struct, sys, time, tarfile -import numpy, psr_utils, presto, sifting, sigproc +import glob, os, os.path, socket, struct, sys, time, tarfile +import numpy +from presto import psr_utils +from presto import presto +from presto import sifting +from presto import sigproc # Calling convention: # diff --git a/bin/chooseN.py b/bin/chooseN.py index 8d4cfd842..b0c5f4211 100755 --- a/bin/chooseN.py +++ b/bin/chooseN.py @@ -1,15 +1,15 @@ #!/usr/bin/env python from __future__ import (print_function,division) -import psr_utils as pu +import presto.psr_utils as pu import sys -from infodata import infodata +from presto.infodata import infodata if len(sys.argv) != 2: print("chooseN ") print(" Prints a good value for fast FFTs to be used for -numout in prepdata/prepsubband") sys.exit(1) -if (sys.argv[1].endswith('.inf')): +if sys.argv[1].endswith('.inf'): inf = infodata(sys.argv[1]) n = inf.N else: diff --git a/bin/dat2tim.py b/bin/dat2tim.py index 07e845f3f..2488d6327 100755 --- a/bin/dat2tim.py +++ b/bin/dat2tim.py @@ -1,6 +1,7 @@ #!/usr/bin/env python from __future__ import print_function -import os, struct, presto, sys +import os, struct, sys +from presto import presto telescope_ids = {"Fake": 0, "Arecibo": 1, "Ooty": 2, "Nancay": 3, "Parkes": 4, "Jodrell": 5, "GBT": 6, "GMRT": 7, @@ -10,20 +11,24 @@ "BCPM1": 4, "OOTY": 5, "SCAMP": 6, "GBT Pulsar Spigot": 7, "SPIGOT": 7} + def prep_string(string): return struct.pack('i', len(string))+string + def prep_double(name, value): return prep_string(name)+struct.pack('d', float(value)) + def prep_int(name, value): return prep_string(name)+struct.pack('i', int(value)) + def infodata_to_sigproc_header(inf): hdr = prep_string("HEADER_START") hdr += prep_int("telescope_id", telescope_ids[inf.telescope.strip()]) - if (len(inf.instrument.split()) > 1): - if (inf.instrument.split()[0]=="Multibeam"): + if len(inf.instrument.split()) > 1: + if inf.instrument.split()[0]=="Multibeam": hdr += prep_int("machine_id", machine_ids["SCAMP"]) else: hdr += prep_int("machine_id", machine_ids[inf.instrument.strip()]) @@ -48,8 +53,9 @@ def infodata_to_sigproc_header(inf): hdr += prep_string("HEADER_END") return hdr + if __name__ == "__main__": - if len(sys.argv)==1: + if len(sys.argv) == 1: print("\nusage: dat2tim.py file.dat\n") sys.exit() if sys.argv[1].endswith(".dat"): diff --git a/bin/detrend_dat.py b/bin/detrend_dat.py index 3ad07e010..61111aff1 100755 --- a/bin/detrend_dat.py +++ b/bin/detrend_dat.py @@ -18,7 +18,7 @@ # zero-out the bad blocks data[good_stds.mask,:] *= 0.0 -print "Found %d bad blocks out of %d" % (good_stds.mask.sum(), nblocks) +print("Found %d bad blocks out of %d" % (good_stds.mask.sum(), nblocks)) # Now detrend the good blocks for ii in stds_inds: diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index d5b272816..335d59f30 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -1,8 +1,10 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import sys, sigproc +import sys import numpy as num +from presto import sigproc + if __name__ == "__main__": if len(sys.argv)==1: diff --git a/bin/event_peak.py b/bin/event_peak.py index 80007d4a5..c77d931d4 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,9 +1,11 @@ #!/usr/bin/env python from __future__ import print_function +import sys import numpy as num -import events as evts -import sys, kuiper -from Pgplot import * +import presto.events as evts +from presto import kuiper +from presto.Pgplot import * + def calc_phases(events, f, fd): return num.fmod(events*(f+(0.5*fd*events)), 1.0) diff --git a/bin/fb_truncate.py b/bin/fb_truncate.py index 28dda5fea..b91fb28c4 100755 --- a/bin/fb_truncate.py +++ b/bin/fb_truncate.py @@ -9,13 +9,9 @@ import sys import copy -import os.path -import warnings import optparse - import numpy as np - -import filterbank +from presto import filterbank BLOCKSIZE = 1e5 # Number of spectra to manipulate at once diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index 34cf77443..aafd5c018 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -20,7 +20,7 @@ numpts = len(zls) if (plot): - from Pgplot import * + from presto.Pgplot import * plotxy(zls) T = numpts*dt diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index 5c84d2657..78620ed08 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -1,9 +1,11 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range +import sys import numpy as num -import psr_utils as pu -import parfile, bestprof, sys +from presto import psr_utils as pu +from presto import parfile +from presto import bestprof import matplotlib.pyplot as plt from scipy.optimize import leastsq diff --git a/bin/fitorb.py b/bin/fitorb.py index 1eebe3e68..349185b2f 100755 --- a/bin/fitorb.py +++ b/bin/fitorb.py @@ -7,12 +7,13 @@ from builtins import range from numpy import * -from mpfit import mpfit -from psr_constants import SECPERDAY,TWOPI,DEGTORAD,SOL -import psr_utils,parfile,sys,glob +from presto.mpfit import mpfit +from presto.psr_constants import SECPERDAY,TWOPI,DEGTORAD,SOL +from presto import psr_utils +from presto import parfile from pylab import * import sys -cspeed = 299792458.0 # m/s +cspeed = 299792458.0 # m/s # begin function definitions diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index 76d3d5ff0..b6a4354b4 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -1,12 +1,13 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import struct, getopt, sys, fftfit, psr_utils +import getopt, sys +from presto import fftfit +from presto import psr_utils import numpy as Num -from infodata import infodata -from prepfold import pfd -from polycos import polycos -from psr_constants import * +from presto.prepfold import pfd +from presto.polycos import polycos +from presto.psr_constants import * scopes = {'GBT':'1', 'Arecibo':'3', diff --git a/bin/gotocand.py b/bin/gotocand.py index 471fa205f..9809249a4 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -1,6 +1,6 @@ #!/usr/bin/env python import sys, os, glob, os.path, string, re -from presto import fourierprops, get_rzw_cand, read_inffile +from presto.presto import fourierprops, get_rzw_cand short_re = re.compile("_\d\d\dM_\d\d_ACCEL_") @@ -63,7 +63,7 @@ def find_local_datfile(basename, DM): line = line.join(line.split()[1:]) if line.endswith(".dat"): datfile = line - print "'%s'"%datfile + print("'%s'"%datfile) if datfile!='': return datfile @@ -94,7 +94,7 @@ def get_datfile_len(nodename, datfile): if __name__ == "__main__": if (len(sys.argv) < 2): - print "\nusage: gotocand.py [-local] candfile:candnum\n" + print("\nusage: gotocand.py [-local] candfile:candnum\n") sys.exit(0) local = 0 @@ -110,12 +110,12 @@ def get_datfile_len(nodename, datfile): dm = get_dm(candfile) if dm is None: - print "Error: Could not find a DM value in '%s'!"%candfile + print("Error: Could not find a DM value in '%s'!"%candfile) sys.exit(0) base = get_basename(candfile) if base is None: - print "Error: Could not find the base filename in '%s'!"%candfile + print("Error: Could not find the base filename in '%s'!"%candfile) sys.exit(0) # Is the candidate from a short-chunk search? @@ -127,12 +127,12 @@ def get_datfile_len(nodename, datfile): else: node = find_node(dm) if node is None: - print "Error: Could not find the node where the dat file should be!" + print("Error: Could not find the node where the dat file should be!") sys.exit(0) datfile = find_datfile(node, base, dm) if datfile is None: - print "Error: Could not find .dat file on the node!" + print("Error: Could not find .dat file on the node!") sys.exit(0) fullcandfile = os.path.join(outdir, candfile)+".cand" @@ -140,9 +140,9 @@ def get_datfile_len(nodename, datfile): datfiledir, datfilenm = os.path.split(datfile) if not local: - print "\nGoing to %s and folding candidate #%s from the file %s."%\ - (node,candnum,candfile) - print " Folding command:" + print("\nGoing to %s and folding candidate #%s from the file %s."%\ + (node,candnum,candfile)) + print(" Folding command:") if shortcand: shortparts, shortoutext, f, fd, fdd = short_stuff(candfile, int(candnum), @@ -151,7 +151,7 @@ def get_datfile_len(nodename, datfile): outfile += shortoutext foldcommand = "prepfold %s -f %.15g -fd %.15g -fdd %.15g -o %s %s"%\ (extraargs, f, fd, fdd, outfile, datfile) - print foldcommand + print(foldcommand) if not local: os.system("ssh -X %s 'cd %s ; %s'"%(node, datfiledir, foldcommand)) os.system("scp -c blowfish %s:%s*_%.2f*.pfd* %s"% \ @@ -162,7 +162,7 @@ def get_datfile_len(nodename, datfile): foldcommand = "prepfold %s -accelcand %s -accelfile %s -o %s %s"%\ (extraargs, candnum, fullcandfile, outfile, datfile) - print " %s"%foldcommand + print(" %s"%foldcommand) if not local: os.system("ssh -X %s 'cd %s ; %s'"%(node, datfiledir, foldcommand)) os.system("scp -c blowfish %s:%s*ACCEL_Cand_%d*.pfd* %s"% \ diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 31462f647..2350bd41d 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -4,8 +4,8 @@ from __future__ import print_function from builtins import range import numpy as np -import pyfits -import filterbank +from astropy.io import fits as pyfits +from presto import filterbank import optparse import sys import os diff --git a/bin/injectpsr.py b/bin/injectpsr.py index 793df1c86..c94a0c051 100755 --- a/bin/injectpsr.py +++ b/bin/injectpsr.py @@ -11,7 +11,6 @@ import sys import argparse import warnings -import pickle import copy import numpy as np @@ -22,8 +21,8 @@ import matplotlib.pyplot as plt import scipy.integrate -import filterbank -import psr_utils +from presto import filterbank +from presto import psr_utils DEBUG = False # Print debugging messages @@ -224,6 +223,8 @@ def smear(self, smearphs, delayphs=0, npts=4096): Output: smeared: The smeared Profile. """ + + # todo: (gijs) bug, scatterphs not defined if smearphs < 0: raise ValueError("Amount of phase to smear by (%g) " \ "cannot be negative!" % scatterphs) diff --git a/bin/make_spd.py b/bin/make_spd.py index 7f30da792..0282fa4de 100755 --- a/bin/make_spd.py +++ b/bin/make_spd.py @@ -13,22 +13,19 @@ from __future__ import print_function from builtins import map from builtins import range - -import sys -import copy from time import strftime -from subprocess import Popen, PIPE import numpy as np import optparse -import waterfaller -import psr_utils +from presto import waterfaller +from presto import psr_utils +# todo: (gijs) plot_spd is a script, not a module. import plot_spd -import singlepulse.spcand as spcand -import singlepulse.spio as spio -import psrfits -import filterbank -import spectra +from presto.singlepulse import spcand as spcand +from presto.singlepulse import spio as spio +from presto import psrfits +from presto import filterbank + DEBUG = True def print_debug(msg): diff --git a/bin/makezaplist.py b/bin/makezaplist.py index cf1c3cf42..55550d639 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -6,16 +6,18 @@ from builtins import range from builtins import object from sys import argv, exit -from string import index -from presto import * +from presto.presto import read_inffile, binary_velocity, psrepoch + class bird(object): def __init__(self, freq, width, bary=0): self.freq = freq self.width = width self.bary = bary + def __cmp__(self, other): return cmp(self.freq, other.freq) + def __str__(self): if self.bary: return "B %20.15g %20.15g\n" % (self.freq, self.width) @@ -25,7 +27,7 @@ def __str__(self): def processbirds(filename): # Filename should be the rootfilename of the FFT + '.birds' try: - ii = index(filename, ".birds") + ii = filename.index(".birds") except ValueError: print("\nThe birdie filename must end in '.birds'\n") exit(0) diff --git a/bin/orbellipsefit.py b/bin/orbellipsefit.py index a6eb4f5f3..c3d538c88 100755 --- a/bin/orbellipsefit.py +++ b/bin/orbellipsefit.py @@ -8,14 +8,15 @@ from __future__ import print_function from numpy import * from pylab import * -from psr_utils import * -from sys import argv, exit -import parfile +from presto.psr_utils import * +from sys import argv +from presto import parfile from matplotlib.patches import Ellipse from scipy.optimize import leastsq verbose = True cspeed = 299792458.0 # m/s + def read_bestprof(filename,f1errmax=999.0): infile = open(filename) bary = N = 0 diff --git a/bin/pfd_for_timing.py b/bin/pfd_for_timing.py index b833243b3..0d1929628 100755 --- a/bin/pfd_for_timing.py +++ b/bin/pfd_for_timing.py @@ -1,6 +1,8 @@ #!/usr/bin/env python from __future__ import print_function -import sys, prepfold +import sys +from presto import prepfold + if len(sys.argv) == 1: sys.stderr.write("""usage: pfd_for_timing.py PFDFILES\n diff --git a/bin/plot_spd.py b/bin/plot_spd.py index 0e5a8f748..06fc1d83f 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -14,9 +14,10 @@ import optparse import tarfile from subprocess import Popen, PIPE -import singlepulse.sp_pgplot as sp_pgplot -import singlepulse.read_spd as read_spd -import singlepulse.spio as spio +import presto.singlepulse.sp_pgplot as sp_pgplot +import presto.singlepulse.read_spd as read_spd +import presto.singlepulse.spio as spio + def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): diff --git a/bin/powerstats.py b/bin/powerstats.py index c734211fd..09a2ac3f7 100755 --- a/bin/powerstats.py +++ b/bin/powerstats.py @@ -1,14 +1,15 @@ #!/usr/bin/env python from __future__ import print_function from builtins import input -import numpy as Num -from events import * +from presto.events import * + def answer_yes(question): yes = ['', 'Y', 'y', 'Yes', 'yes', 'YES', 'T', 't', 'True', 'true', 'TRUE'] return input('\n'+question) in yes + def ask_float(question, default=None): while 1: ans = input('\n'+question) diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index 85a982adf..482a1ccff 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -3,9 +3,9 @@ from __future__ import print_function from builtins import range import numpy as np -import psrfits -import filterbank -import sigproc +from presto import psrfits +from presto import filterbank +from presto import sigproc import optparse import sys import os diff --git a/bin/psrfits_quick_bandpass.py b/bin/psrfits_quick_bandpass.py index 0f4695ee6..13de1c73a 100755 --- a/bin/psrfits_quick_bandpass.py +++ b/bin/psrfits_quick_bandpass.py @@ -3,7 +3,8 @@ from builtins import zip import numpy as np import matplotlib.pyplot as plt -import sys, psrfits +import sys +from presto import psrfits from optparse import OptionParser full_usage = """ diff --git a/bin/pulsestack.py b/bin/pulsestack.py index 4f89a56e0..67a4d6af6 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -23,14 +23,16 @@ from builtins import str from builtins import range import numpy as np +import scipy +import scipy.signal import array as ar -import os, os.path, stat, glob, sys +import os.path, stat, sys import math import optparse as opt -import infodata as inf -import polycos as poly -import scipy, scipy.signal -import sigproc +import presto.infodata as inf +import presto.polycos as poly + + # importing VariableColormap from kapteyn module of it exists try: from kapteyn.mplutil import VariableColormap diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 25d1af0e5..de7e08487 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -2,12 +2,14 @@ from __future__ import print_function from builtins import range from builtins import object -from psr_utils import gaussian_profile, span, read_profile +import sys +from presto.psr_utils import gaussian_profile, read_profile from matplotlib.patches import Rectangle -from bestprof import bestprof +from presto.bestprof import bestprof import matplotlib.pyplot as plt import numpy as Num -import mpfit, sys +from presto import mpfit + class GaussianSelector(object): def __init__(self, ax, profile, errs, profnm, minspanx=None, diff --git a/bin/pyplotres.py b/bin/pyplotres.py index fb9429098..47ef71508 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -14,19 +14,17 @@ import sys import re import os -import types -import warnings - import matplotlib import matplotlib.pyplot as plt import numpy as np +from scipy.cluster.vq import kmeans2 import pyslalib.slalib as slalib -import binary_psr -import parfile as par -import residuals +from presto import binary_psr +from presto import parfile as par +from presto import residuals + -from scipy.cluster.vq import kmeans2 # Available x-axis types xvals = ['mjd', 'year', 'numtoa', 'orbitphase'] diff --git a/bin/quick_prune_cands.py b/bin/quick_prune_cands.py index ad717af3c..3e142bf53 100755 --- a/bin/quick_prune_cands.py +++ b/bin/quick_prune_cands.py @@ -1,5 +1,7 @@ #!/usr/bin/env python -import sifting, sys +import sys +from presto import sifting + if len(sys.argv) < 2: sys.stderr.write("\nusage: quick_prune_cands.py ACCEL_file_name [sigma]\n\n") diff --git a/bin/quickffdots.py b/bin/quickffdots.py index c4e26b9da..26c20a1e4 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -1,8 +1,8 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -from infodata import * -from presto import ffdot_plane, spectralpower +from presto.infodata import * +from presto.presto import ffdot_plane, spectralpower from pylab import * import numpy as N import sys diff --git a/bin/rfifind_stats.py b/bin/rfifind_stats.py index 86805da19..cdd0c8698 100755 --- a/bin/rfifind_stats.py +++ b/bin/rfifind_stats.py @@ -1,5 +1,6 @@ #!/usr/bin/env python -import rfifind, sys +import sys +from presto import rfifind if __name__=="__main__": a = rfifind.rfifind(sys.argv[1]) diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 0c8fb4d7b..9d0f93893 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -17,19 +17,14 @@ from __future__ import print_function from past.builtins import cmp from builtins import str -from builtins import range -from builtins import object -import fileinput import numpy as np from time import strftime -import glob -import os.path -import infodata +from presto import infodata import matplotlib.pyplot as plt -from Pgplot import * +from presto.Pgplot import * import optparse -import sys -import singlepulse.spio as spio +import presto.singlepulse.spio as spio + FRACTIONAL_SIGMA = 0.9 # change to 0.8? ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index cc1fd0d6e..5a96afa9c 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,13 +1,12 @@ #!/usr/bin/env python from __future__ import print_function -from builtins import str, zip, range, object -import bisect, os, sys, getopt, infodata, glob -import scipy, scipy.signal, scipy.stats, ppgplot -import numpy as Num -from presto import rfft, next2_to_n -from psr_utils import coord_to_string +from builtins import str, zip from optparse import OptionParser -from Pgplot import * +import bisect, os, sys, glob +import scipy, scipy.signal, scipy.stats +from presto.presto import rfft, next2_to_n +from presto import infodata +from presto.Pgplot import * # This is for Python 2/3 comptibility def mycmp(a, b): @@ -682,7 +681,7 @@ def main(): prof.close() # To see the results: if (0): - from hotshot import stats + from presto.hotshot import stats s = stats.load("hotshot_edi_stats") s.sort_stats("time").print_stats() else: diff --git a/bin/sortwappfiles.py b/bin/sortwappfiles.py index 57eebfa7f..6797f43b6 100755 --- a/bin/sortwappfiles.py +++ b/bin/sortwappfiles.py @@ -6,20 +6,20 @@ maxwappnum = 7 wappfiles = {} for filename in sys.argv[1:]: - for wappnum in range(1,maxwappnum+1): - if ((wappnum==1 and re.search("\.wapp\.", filename)) or \ - (wappnum>1 and re.search("\.wapp%d?\."%wappnum, filename))): - if wappnum in wappfiles: - wappfiles[wappnum].append(filename) - else: - wappfiles[wappnum] = [filename] - break + for wappnum in range(1, maxwappnum + 1): + if ((wappnum == 1 and re.search("\.wapp\.", filename)) or \ + (wappnum > 1 and re.search("\.wapp%d?\." % wappnum, filename))): + if wappnum in wappfiles: + wappfiles[wappnum].append(filename) + else: + wappfiles[wappnum] = [filename] + break for key in list(wappfiles.keys()): numfiles = len(wappfiles[key]) wappfiles[key].sort() for filenum in range(numfiles): - for wappnum in range(1,maxwappnum+1): - if wappnum in wappfiles: - print(wappfiles[wappnum][filenum], end=' ') + for wappnum in range(1, maxwappnum + 1): + if wappnum in wappfiles: + print(wappfiles[wappnum][filenum], end=' ') diff --git a/bin/subband_smearing.py b/bin/subband_smearing.py index ea51ecc09..fdcf65937 100755 --- a/bin/subband_smearing.py +++ b/bin/subband_smearing.py @@ -2,7 +2,7 @@ from __future__ import print_function import matplotlib.pyplot as plt import numpy as num -import psr_utils as pu +import presto.psr_utils as pu def subband_smear(DM, subDM, subBW, fctr): """ diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index 2b2f6de64..a637181a1 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -2,15 +2,20 @@ from __future__ import print_function from builtins import zip from builtins import range -import struct, getopt, sys, fftfit, psr_utils, os.path, sinc_interp, Pgplot +import getopt, sys +import os.path +from presto import fftfit +from presto import psr_utils +from presto import sinc_interp +from presto import Pgplot import numpy as Num -from infodata import infodata -from prepfold import pfd -from polycos import polycos -from psr_constants import * +from presto.prepfold import pfd +from presto.psr_constants import * + scopes = {'GBT':'1', 'Arecibo':'3', 'Parkes':'7', 'GMRT': 'r'} + def measure_phase(profile, template): """ measure_phase(profile, template): @@ -200,7 +205,7 @@ def usage(): pfdfilenms = [] killsubss = [] killintss = [] - for line in file(sys.argv[-1]): + for line in open(sys.argv[-1]): if not line.startswith("#"): sline = line.split() pfdfilenm = sline[0] diff --git a/bin/tim2dat.py b/bin/tim2dat.py index fe1c7aef0..9a164228b 100755 --- a/bin/tim2dat.py +++ b/bin/tim2dat.py @@ -1,16 +1,14 @@ #!/usr/bin/env python from __future__ import print_function import astropy.coordinates as coords -import astropy.units as u from builtins import str import os import os.path import argparse import sys import getpass -import re import numpy as np -import sigproc +from presto import sigproc BLOCKSIZE = 10000 # Amount of data to copy at a time # from input file to output file (in samples) diff --git a/bin/waterfaller.py b/bin/waterfaller.py index 95a97e035..e2c1e4c3c 100755 --- a/bin/waterfaller.py +++ b/bin/waterfaller.py @@ -11,20 +11,17 @@ """ -import sys import optparse -import copy import matplotlib.pyplot as plt import matplotlib.cm import numpy as np -import psr_utils -import rfifind +from presto import psr_utils +from presto import rfifind +from presto import psrfits +from presto import filterbank -import psrfits -import filterbank -import spectra SWEEP_STYLES = ['r-', 'b-', 'g-', 'm-', 'c-'] diff --git a/bin/weights_to_ignorechan.py b/bin/weights_to_ignorechan.py index 484d97192..43e378890 100755 --- a/bin/weights_to_ignorechan.py +++ b/bin/weights_to_ignorechan.py @@ -55,10 +55,8 @@ def build_pazline(chanline): # Get the chanline chanline = build_chanline(weights) - print chanline + print(chanline) # Convert it to a paz command pazline = build_pazline(chanline) - print "\n"+pazline - - + print("\n"+pazline) diff --git a/python/presto/Pgplot.py b/python/presto/Pgplot.py index cb309c859..7299b1b5e 100644 --- a/python/presto/Pgplot.py +++ b/python/presto/Pgplot.py @@ -1,26 +1,24 @@ +""" + Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' + and the Python 'PPGPLOT' package + + Written by Scott M. Ransom (ransom@cfa.harvard.edu) + last revision: 01 Jul 2000 + + 'PGPLOT' was writtten by Tim Pearson , + and can be found at http://astro.caltech.edu/~tjp/pgplot/ + + 'PPGPLOT' was written by Nick Patavalis , + and can be found at http://ariadne.di.uoa.gr/ppgplot/ + _or_ an updated version is available in the same directory + where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom +""" from __future__ import print_function -from builtins import str from builtins import range from builtins import object -import sys - -# Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' -# and the Python 'PPGPLOT' package -# -# Written by Scott M. Ransom (ransom@cfa.harvard.edu) -# last revision: 01 Jul 2000 -# -# 'PGPLOT' was writtten by Tim Pearson , -# and can be found at http://astro.caltech.edu/~tjp/pgplot/ -# -# 'PPGPLOT' was written by Nick Patavalis , -# and can be found at http://ariadne.di.uoa.gr/ppgplot/ -# _or_ an updated version is available in the same directory -# where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom -# - import numpy as Num -import types, math, ppgplot +from presto import ppgplot + # Check if string in Py2 and Py3 compatible way def isstr(var): diff --git a/python/presto/binary_psr.py b/python/presto/binary_psr.py index f32c205bc..777ae3426 100644 --- a/python/presto/binary_psr.py +++ b/python/presto/binary_psr.py @@ -1,8 +1,8 @@ from __future__ import print_function from builtins import object import numpy as Num -import parfile, psr_utils -from psr_constants import * +from presto import parfile, psr_utils +from presto.psr_constants import * def myasarray(a): if type(a) in [type(1.0),type(1),type(1),type(1j)]: diff --git a/python/presto/cosine_rand.py b/python/presto/cosine_rand.py index df2bc0337..d67634f05 100644 --- a/python/presto/cosine_rand.py +++ b/python/presto/cosine_rand.py @@ -1,15 +1,16 @@ from __future__ import print_function from future import standard_library standard_library.install_aliases() -from builtins import range import numpy as Num import pickle, os +from presto.psr_utils import hist +from presto.Pgplot import plotxy, closeplot n = 1000 if (0): # Use the following to generate the xs - from simple_roots import newton_raphson + from presto.simple_roots import newton_raphson rval = 0.0 rs = Num.arange(n+1, dtype=Num.float)/n @@ -31,6 +32,7 @@ def dfunc(x): "lib", "python", "cosine_rand.pickle") xs = pickle.load(open(pfile)) + def cosine_rand(num): """cosine_rand(num): Return num phases that are randomly distributed as per a sinusoid with maximum at phase=0 (0 < phase < 1). @@ -42,11 +44,8 @@ def cosine_rand(num): hi = Num.take(xs, indices+1) return fracts*(hi-lo)+lo + if __name__ == '__main__': - from psr_utils import hist - from Pgplot import plotxy, closeplot - import time - if (0): numtrials = 20 numrandnums = 1000000 diff --git a/python/presto/events.py b/python/presto/events.py index 6fa37c2fb..94557a66f 100644 --- a/python/presto/events.py +++ b/python/presto/events.py @@ -1,11 +1,11 @@ from __future__ import print_function -from builtins import range import bisect -import numpy as Num -from psr_constants import PI, TWOPI, PIBYTWO -from simple_roots import newton_raphson +from presto.psr_constants import PI, TWOPI, PIBYTWO +from presto.simple_roots import newton_raphson from scipy.special import iv, chdtri, ndtr, ndtri -from cosine_rand import * +from presto.cosine_rand import * +import numpy as np + def sine_events(pulsed_frac, Nevents, phase=0.0): """ @@ -416,12 +416,13 @@ def pulsed_fraction_limit(Nphot, Pow): """ return Num.sqrt(4.0 * (Pow - 1.0) / Nphot) + if __name__=="__main__": - from psr_utils import * - from Pgplot import * - from presto import * + from presto.psr_utils import * + from presto.Pgplot import * + from presto.presto import * from RandomArray import * - + prof = expcos_profile(128, 0.0, 0.1) + normal(0.0, 5.0, 128) plotxy(prof) closeplot() diff --git a/python/presto/filterbank.py b/python/presto/filterbank.py index 59f80c049..5372c75ed 100644 --- a/python/presto/filterbank.py +++ b/python/presto/filterbank.py @@ -8,12 +8,11 @@ from builtins import object import sys -import warnings import os import os.path import numpy as np -import sigproc -import spectra +from presto import sigproc +from presto import spectra DEBUG = False diff --git a/python/presto/injectpsr.py b/python/presto/injectpsr.py index 9e708c756..9c011befc 100755 --- a/python/presto/injectpsr.py +++ b/python/presto/injectpsr.py @@ -11,7 +11,6 @@ import sys import argparse import warnings -import pickle import copy import numpy as np @@ -22,8 +21,8 @@ import matplotlib.pyplot as plt import scipy.integrate -import filterbank -import psr_utils +from presto import filterbank +from presto import psr_utils DEBUG = False # Print debugging messages diff --git a/python/presto/kuiper.py b/python/presto/kuiper.py index 146ec75b9..259403840 100644 --- a/python/presto/kuiper.py +++ b/python/presto/kuiper.py @@ -1,7 +1,7 @@ from __future__ import print_function from builtins import range import numpy as num -import Pgplot +from presto import Pgplot from functools import reduce def noverk(n,k): diff --git a/python/presto/mpfit.py b/python/presto/mpfit.py index c32870a34..82b916b19 100644 --- a/python/presto/mpfit.py +++ b/python/presto/mpfit.py @@ -406,7 +406,6 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) from builtins import object import numpy -import types # Original FORTRAN documentation diff --git a/python/presto/parfile.py b/python/presto/parfile.py index cd9d3c89b..7a309722c 100644 --- a/python/presto/parfile.py +++ b/python/presto/parfile.py @@ -1,10 +1,8 @@ from __future__ import print_function from builtins import object import six -#from types import StringType, FloatType -import collections import math, re -import psr_utils as pu +from presto import psr_utils as pu try: from slalib import sla_ecleq, sla_eqecl, sla_eqgal slalib = True diff --git a/python/presto/polycos.py b/python/presto/polycos.py index 5126a2467..f1c098199 100644 --- a/python/presto/polycos.py +++ b/python/presto/polycos.py @@ -3,8 +3,7 @@ import os import sys import subprocess -import types -import parfile +from presto import parfile import numpy as Num diff --git a/python/presto/prepfold.py b/python/presto/prepfold.py index 7c5701207..0aed966e8 100644 --- a/python/presto/prepfold.py +++ b/python/presto/prepfold.py @@ -2,12 +2,12 @@ from builtins import range from builtins import object import numpy as Num -import copy, random, struct, sys -import psr_utils, infodata, polycos, Pgplot -# from types import StringType, FloatType, IntType +import copy, random, struct +from presto import psr_utils, infodata, polycos, Pgplot import six import numbers -from bestprof import bestprof +from presto.bestprof import bestprof + class pfd(object): diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 6106b4ecd..29701c299 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -1,16 +1,18 @@ from __future__ import print_function from builtins import str from builtins import range +import bisect import numpy as Num import numpy.fft as FFT -import Pgplot, ppgplot, bisect, sinc_interp, parfile from scipy.special import ndtr, ndtri, chdtrc, chdtri, fdtr, i0, kolmogorov from scipy.optimize import leastsq import scipy.optimize.zeros as zeros -from psr_constants import * +from presto import Pgplot, ppgplot, sinc_interp, parfile +from presto.psr_constants import * isintorlong = lambda x: type(x) == type(0) or type(x) == type(0) + def span(Min, Max, Number): """ span(Min, Max, Number): @@ -18,9 +20,10 @@ def span(Min, Max, Number): """ assert isintorlong(Number) if isintorlong(Min) and isintorlong(Max) and \ - (Max-Min) % (Number-1) != 0: - Max = float(Max) # force floating points - return Min+(Max-Min)*Num.arange(Number)/(Number-1) + (Max - Min) % (Number - 1) != 0: + Max = float(Max) # force floating points + return Min + (Max - Min) * Num.arange(Number) / (Number - 1) + def distance(width): """ @@ -28,8 +31,8 @@ def distance(width): Return a 'width' x 'width' Num Python array with each point set to the geometric distance from the array's center. """ - x = Num.arange(-width/2.0+0.5, width/2.0+0.5, 1.0)**2 - x = Num.resize(x, (width,width)) + x = Num.arange(-width / 2.0 + 0.5, width / 2.0 + 0.5, 1.0) ** 2 + x = Num.resize(x, (width, width)) return Num.sqrt(x + Num.transpose(x)) def is_power_of_10(n): @@ -88,6 +91,7 @@ def choose_N(orig_N): two_N *= 2 return min(two_N, new_N) + def running_avg(arr, navg): """ running_avg(arr, navg): @@ -98,6 +102,7 @@ def running_avg(arr, navg): a.shape = (len(a) / navg, navg) return Num.add.reduce(Num.transpose(a)) / navg + def hist(data, bins, range=None, laby="Number", **kwargs): """ hist(data, bins, range=None, laby="Number", **kwargs): @@ -112,15 +117,16 @@ def hist(data, bins, range=None, laby="Number", **kwargs): Note: This command also accepts all the keyword arge of plotbinned(). """ (ys, lox, dx, out) = Num.histogram(data, bins, range) - xs = Num.arange(bins, dtype='d')*dx + lox + 0.5*dx - maxy = int(1.1*max(ys)) + xs = Num.arange(bins, dtype='d') * dx + lox + 0.5 * dx + maxy = int(1.1 * max(ys)) if maxy < max(ys): maxy = max(ys) + 1.0 if 'rangey' not in list(kwargs.keys()): - kwargs['rangey']=[0,maxy] + kwargs['rangey'] = [0, maxy] Pgplot.plotbinned(ys, xs, laby=laby, **kwargs) return (xs, ys) + def KS_test(data, cumdist, output=0): """ KS_test(data, cumdist, output=0): @@ -129,17 +135,18 @@ def KS_test(data, cumdist, output=0): """ nn = len(data) sdata = Num.sort(Num.asarray(data)) - D1 = Num.maximum.reduce(Num.absolute(cumdist(sdata)- - Num.arange(nn, dtype='d')/nn)) - D2 = Num.maximum.reduce(Num.absolute(cumdist(sdata)- - Num.arange(1,nn+1, dtype='d')/nn)) + D1 = Num.maximum.reduce(Num.absolute(cumdist(sdata) - + Num.arange(nn, dtype='d') / nn)) + D2 = Num.maximum.reduce(Num.absolute(cumdist(sdata) - + Num.arange(1, nn + 1, dtype='d') / nn)) D = max((D1, D2)) - P = kolmogorov(Num.sqrt(nn)*D) + P = kolmogorov(Num.sqrt(nn) * D) if (output): print("Max distance between the cumulative distributions (D) = %.5g" % D) print("Prob the data is from the specified distrbution (P) = %.3g" % P) return (D, P) + def weighted_mean(arrin, weights_in, inputmean=None, calcerr=False, sdev=False): """ NAME: @@ -184,82 +191,92 @@ def weighted_mean(arrin, weights_in, inputmean=None, calcerr=False, sdev=False): wtot = weights.sum() # user has input a mean value if inputmean is None: - wmean = ( weights*arr ).sum()/wtot + wmean = (weights * arr).sum() / wtot else: - wmean=float(inputmean) + wmean = float(inputmean) # how should error be calculated? if calcerr: - werr2 = ( weights**2 * (arr-wmean)**2 ).sum() - werr = Num.sqrt( werr2 )/wtot + werr2 = (weights ** 2 * (arr - wmean) ** 2).sum() + werr = Num.sqrt(werr2) / wtot else: - werr = 1.0/Num.sqrt(wtot) + werr = 1.0 / Num.sqrt(wtot) # should output include the weighted standard deviation? if sdev: - wvar = ( weights*(arr-wmean)**2 ).sum()/wtot + wvar = (weights * (arr - wmean) ** 2).sum() / wtot wsdev = Num.sqrt(wvar) - return wmean,werr,wsdev + return wmean, werr, wsdev else: - return wmean,werr + return wmean, werr + def MJD_to_JD(MJD): """ MJD_to_JD(MJD): Convert Modified Julian Date (MJD) to Julian Date (JD) """ - return MJD+2400000.5 + return MJD + 2400000.5 + def JD_to_MJD(JD): """ JD_to_MJD(JD): Convert Julian Date (JD) to Modified Julian Date (MJD) """ - return JD-2400000.5 + return JD - 2400000.5 + def MJD_to_Julian_Epoch(MJD): """ MJD_to_Julian_Epoch(MJD): Convert Modified Julian Date (MJD) to Julian Epoch """ - return 2000.0 + (MJD-51544.5)/365.25 + return 2000.0 + (MJD - 51544.5) / 365.25 + def Julian_Epoch_to_MJD(jepoch): """ Julian_Epoch_to_MJD(jepoch): Convert Julian Epoch to Modified Julian Date (MJD) """ - return 51544.5 + (jepoch-2000.0)*365.25 + return 51544.5 + (jepoch - 2000.0) * 365.25 + def MJD_to_Besselian_Epoch(MJD): """ MJD_to_Besselian_Epoch(MJD): Convert Modified Julian Date (MJD) to Besselian Epoch """ - return 1900.0 + (MJD-15019.81352)/365.242198781 + return 1900.0 + (MJD - 15019.81352) / 365.242198781 + def Besselian_Epoch_to_MJD(bepoch): """ Besselian_Epoch_to_MJD(bepoch): Convert Besselian Epoch to Modified Julian Date (MJD) """ - return 15019.81352 + (bepoch-1900.0)*365.242198781 + return 15019.81352 + (bepoch - 1900.0) * 365.242198781 + def rad_to_dms(rad): """ rad_to_dms(rad): Convert radians to degrees, minutes, and seconds of arc. """ - if (rad < 0.0): sign = -1 - else: sign = 1 + if (rad < 0.0): + sign = -1 + else: + sign = 1 arc = RADTODEG * Num.fmod(Num.fabs(rad), PI) d = int(arc) arc = (arc - d) * 60.0 m = int(arc) s = (arc - m) * 60.0 - if sign==-1 and d==0: + if sign == -1 and d == 0: return (sign * d, sign * m, sign * s) else: return (sign * d, m, s) + def dms_to_rad(deg, min, sec): """ dms_to_rad(deg, min, sec): @@ -267,7 +284,7 @@ def dms_to_rad(deg, min, sec): """ if (deg < 0.0): sign = -1 - elif (deg==0.0 and (min < 0.0 or sec < 0.0)): + elif (deg == 0.0 and (min < 0.0 or sec < 0.0)): sign = -1 else: sign = 1 @@ -275,6 +292,7 @@ def dms_to_rad(deg, min, sec): (60.0 * (60.0 * Num.fabs(deg) + Num.fabs(min)) + Num.fabs(sec)) + def dms_to_deg(deg, min, sec): """ dms_to_deg(deg, min, sec): @@ -282,6 +300,7 @@ def dms_to_deg(deg, min, sec): """ return RADTODEG * dms_to_rad(deg, min, sec) + def rad_to_hms(rad): """ rad_to_hms(rad): @@ -296,17 +315,21 @@ def rad_to_hms(rad): s = (arc - m) * 60.0 return (h, m, s) + def hms_to_rad(hour, min, sec): """ hms_to_rad(hour, min, sec): Convert hours, minutes, and seconds of arc to radians """ - if (hour < 0.0): sign = -1 - else: sign = 1 + if (hour < 0.0): + sign = -1 + else: + sign = 1 return sign * SECTORAD * \ (60.0 * (60.0 * Num.fabs(hour) + Num.fabs(min)) + Num.fabs(sec)) + def hms_to_hrs(hour, min, sec): """ hms_to_hrs(hour, min, sec): @@ -314,6 +337,7 @@ def hms_to_hrs(hour, min, sec): """ return RADTOHRS * hms_to_rad(hour, min, sec) + def coord_to_string(h_or_d, m, s): """ coord_to_string(h_or_d, m, s): @@ -323,14 +347,15 @@ def coord_to_string(h_or_d, m, s): retstr = "" if h_or_d < 0: retstr = "-" - elif abs(h_or_d)==0: + elif abs(h_or_d) == 0: if (m < 0.0) or (s < 0.0): retstr = "-" h_or_d, m, s = abs(h_or_d), abs(m), abs(s) if (s >= 9.9995): - return retstr+"%.2d:%.2d:%.4f" % (h_or_d, m, s) + return retstr + "%.2d:%.2d:%.4f" % (h_or_d, m, s) else: - return retstr+"%.2d:%.2d:0%.4f" % (h_or_d, m, s) + return retstr + "%.2d:%.2d:0%.4f" % (h_or_d, m, s) + def ra_to_rad(ra_string): """ @@ -342,6 +367,7 @@ def ra_to_rad(ra_string): h, m, s = ra_string.split(":") return hms_to_rad(int(h), int(m), float(s)) + def dec_to_rad(dec_string): """ dec_to_rad(dec_string): @@ -350,17 +376,19 @@ def dec_to_rad(dec_string): radians. """ d, m, s = dec_string.split(":") - if "-" in d and int(d)==0: - m, s = '-'+m, '-'+s + if "-" in d and int(d) == 0: + m, s = '-' + m, '-' + s return dms_to_rad(int(d), int(m), float(s)) + def delta_m(flux_factor): """ delta_m(flux_factor): Return the change in magnitudes caused by a change in flux of flux_factor. """ - return -2.5*Num.log10(flux_factor) + return -2.5 * Num.log10(flux_factor) + def flux_factor(delta_m): """ @@ -368,7 +396,8 @@ def flux_factor(delta_m): Return the change in flux caused by a change in magnitude of delta_m magnitudes """ - return 10.0**(delta_m/-2.5) + return 10.0 ** (delta_m / -2.5) + def distance_modulus_to_distance(dm, absorption=0.0): """ @@ -376,7 +405,8 @@ def distance_modulus_to_distance(dm, absorption=0.0): Return the distance (kpc) given a distance modulus dm and an optional absorption. """ - return 10.0**(((dm-absorption)+5.0)/5.0)/1000.0 + return 10.0 ** (((dm - absorption) + 5.0) / 5.0) / 1000.0 + def distance_to_distance_modulus(d, absorption=0.0): """ @@ -384,7 +414,8 @@ def distance_to_distance_modulus(d, absorption=0.0): Return the distance modulus given a distance d and an optional absorption. """ - return 5.0*Num.log10(d*1000.0)-5.0+absorption + return 5.0 * Num.log10(d * 1000.0) - 5.0 + absorption + def true_anomaly(E, ecc): """ @@ -392,7 +423,8 @@ def true_anomaly(E, ecc): Return the True Anomaly (in radians) given the Eccentric anomaly (E in radians) and the eccentricity (ecc) """ - return 2.0*Num.arctan(Num.sqrt((1.0+ecc)/(1.0-ecc))*Num.tan(E/2.0)) + return 2.0 * Num.arctan(Num.sqrt((1.0 + ecc) / (1.0 - ecc)) * Num.tan(E / 2.0)) + def mass_funct(pb, x): """ @@ -402,7 +434,8 @@ def mass_funct(pb, x): 'x' is the projected semi-major axis in lt-sec. """ pbs = pb * 86400.0 - return 8015123.37129 * x**3.0 / (pbs * pbs) + return 8015123.37129 * x ** 3.0 / (pbs * pbs) + def mass_funct2(mp, mc, i): """ @@ -413,7 +446,8 @@ def mass_funct2(mp, mc, i): 'i' is the orbital inclination (rad). Note: An 'average' orbit has cos(i) = 0.5, or i = 60 deg """ - return (mc * Num.sin(i))**3.0 / (mc + mp)**2.0 + return (mc * Num.sin(i)) ** 3.0 / (mc + mp) ** 2.0 + def asini_c(pb, mf): """ @@ -422,7 +456,8 @@ def asini_c(pb, mf): 'pb' is the binary period in sec. 'mf' is the mass function of the orbit. """ - return (mf * pb * pb / 8015123.37129)**(1.0 / 3.0) + return (mf * pb * pb / 8015123.37129) ** (1.0 / 3.0) + def TS99_WDmass(pb, pop="I+II"): """ @@ -453,7 +488,7 @@ def ELL1_check(par_file, output=False): """ psr = parfile.psr_par(par_file) try: - lhs = psr.A1 * psr.E**2.0 * 1e6 + lhs = psr.A1 * psr.E ** 2.0 * 1e6 except: if output: print("Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?") @@ -466,8 +501,8 @@ def ELL1_check(par_file, output=False): return if output: print("Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:") - print(" asini/c * ecc**2 = %8.3g us"%lhs) - print(" TRES / sqrt(# TOAs) = %8.3g us"%rhs) + print(" asini/c * ecc**2 = %8.3g us" % lhs) + print(" TRES / sqrt(# TOAs) = %8.3g us" % rhs) if lhs * 50.0 < rhs: if output: print("Should be fine.") @@ -481,6 +516,7 @@ def ELL1_check(par_file, output=False): print("Should probably use BT or DD instead.") return False + def accel_to_z(accel, T, reffreq, harm=1): """ accel_to_z(accel, T, reffreq, harm=1): @@ -491,6 +527,7 @@ def accel_to_z(accel, T, reffreq, harm=1): """ return accel * harm * reffreq * T * T / SOL + def z_to_accel(z, T, reffreq, harm=1): """ z_to_accel(z, T, reffreq, harm=1): @@ -511,18 +548,19 @@ def bins_to_accel(z, T, f=[1.0, 1000.0], device="/XWIN"): an observation of length 'T'. """ fs = span(Num.log10(f[0]), Num.log10(f[1]), 1000) - accels = z_to_accel(z, T, 10.0**fs) + accels = z_to_accel(z, T, 10.0 ** fs) if (device): Pgplot.plotxy(Num.log10(accels), fs, logx=1, logy=1, labx="Frequency (Hz)", laby=r"Acceleration (m/s\u2\d)", device=device) - ppgplot.pgmtxt("T", -2.0, 0.75, 0.0, "T = %.0f sec"%T) - ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, r"r\B\u\.\d = %.1f bins"%z) + ppgplot.pgmtxt("T", -2.0, 0.75, 0.0, "T = %.0f sec" % T) + ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, r"r\B\u\.\d = %.1f bins" % z) if (device != '/XWIN'): Pgplot.closeplot() else: return accels + def pulsar_mass(pb, x, mc, inc): """ pulsar_mass(pb, x, mc, inc): @@ -534,10 +572,13 @@ def pulsar_mass(pb, x, mc, inc): 'mc' is the mass of the companion in solar mass units. """ massfunct = mass_funct(pb, x) - def localmf(mp, mc=mc, mf=massfunct, i=inc*DEGTORAD): + + def localmf(mp, mc=mc, mf=massfunct, i=inc * DEGTORAD): return mass_funct2(mp, mc, i) - mf + return zeros.bisect(localmf, 0.0, 1000.0) + def companion_mass(pb, x, inc=60.0, mpsr=1.4): """ companion_mass(pb, x, inc=60.0, mpsr=1.4): @@ -549,10 +590,13 @@ def companion_mass(pb, x, inc=60.0, mpsr=1.4): 'mpsr' is the mass of the pulsar in solar mass units. """ massfunct = mass_funct(pb, x) - def localmf(mc, mp=mpsr, mf=massfunct, i=inc*DEGTORAD): + + def localmf(mc, mp=mpsr, mf=massfunct, i=inc * DEGTORAD): return mass_funct2(mp, mc, i) - mf + return zeros.bisect(localmf, 0.0, 1000.0) + def companion_mass_limit(pb, x, mpsr=1.4): """ companion_mass_limit(pb, x, mpsr=1.4): @@ -565,24 +609,27 @@ def companion_mass_limit(pb, x, mpsr=1.4): """ return companion_mass(pb, x, inc=90.0, mpsr=mpsr) + def OMDOT(porb, e, Mp, Mc): """ OMDOT(porb, e, Mp, Mc): Return the predicted advance of periaston (deg/yr) given the orbital period (days), eccentricity, and pulsar and companion masses. """ - return 3.0 * (porb*86400.0/TWOPI)**(-5.0/3.0) * \ - (Tsun*(Mp+Mc))**(2.0/3.0) / (1.0-e**2.0) * \ + return 3.0 * (porb * 86400.0 / TWOPI) ** (-5.0 / 3.0) * \ + (Tsun * (Mp + Mc)) ** (2.0 / 3.0) / (1.0 - e ** 2.0) * \ RADTODEG * SECPERJULYR + def GAMMA(porb, e, Mp, Mc): """ GAMMA(porb, e, Mp, Mc): Return the predicted value of relativistic gamma (sec) given the orbital period (days), eccentricity, and pulsar and companion masses. """ - return e * (porb*86400.0/TWOPI)**(1.0/3.0) * Tsun**(2.0/3.0) * \ - (Mp+Mc)**(-4.0/3.0) * Mc * (Mp+2.0*Mc) + return e * (porb * 86400.0 / TWOPI) ** (1.0 / 3.0) * Tsun ** (2.0 / 3.0) * \ + (Mp + Mc) ** (-4.0 / 3.0) * Mc * (Mp + 2.0 * Mc) + def PBDOT(porb, e, Mp, Mc): """ @@ -590,10 +637,11 @@ def PBDOT(porb, e, Mp, Mc): Return the predicted orbital period derivative (s/s) given the orbital period (s), eccentricity, and pulsar and companion masses. """ - return -192.0*PI/5.0 * (porb*86400.0/TWOPI)**(-5.0/3.0) * \ - (1.0 + 73.0/24.0*e**2.0 + 37.0/96.0*e**4.0) * \ - (1.0-e**2.0)**(-7.0/2.0) * Tsun**(5.0/3.0) * \ - Mp * Mc * (Mp+Mc)**(-1.0/3.0) + return -192.0 * PI / 5.0 * (porb * 86400.0 / TWOPI) ** (-5.0 / 3.0) * \ + (1.0 + 73.0 / 24.0 * e ** 2.0 + 37.0 / 96.0 * e ** 4.0) * \ + (1.0 - e ** 2.0) ** (-7.0 / 2.0) * Tsun ** (5.0 / 3.0) * \ + Mp * Mc * (Mp + Mc) ** (-1.0 / 3.0) + def OMDOT_to_Mtot(OMDOT, porb, e): """ @@ -601,8 +649,9 @@ def OMDOT_to_Mtot(OMDOT, porb, e): Return the total mass (in solar units) of a system given an advance of periastron (OMDOT) in deg/yr. The orbital period should be in days. """ - wd = OMDOT/SECPERJULYR*DEGTORAD # rad/s - return (wd/3.0*(1.0-e*e)*(porb*SECPERDAY/TWOPI)**(5.0/3.0))**(3.0/2.0)/Tsun + wd = OMDOT / SECPERJULYR * DEGTORAD # rad/s + return (wd / 3.0 * (1.0 - e * e) * (porb * SECPERDAY / TWOPI) ** (5.0 / 3.0)) ** (3.0 / 2.0) / Tsun + def GAMMA_to_Mc(gamma, porb, e, Mp): """ @@ -611,10 +660,13 @@ def GAMMA_to_Mc(gamma, porb, e, Mp): the eccentricity and the pulsar mass in solar units, return the predicted companion mass. """ + def funct(mc, mp=Mp, porb=porb, e=e, gamma=gamma): return GAMMA(porb, e, mp, mc) - gamma + return zeros.bisect(funct, 0.01, 20.0) + def shklovskii_effect(pm, D): """ shklovskii_effect(pm, D): @@ -623,9 +675,10 @@ def shklovskii_effect(pm, D): and the distance (D) in kpc. Note: What is returned is a_pm/C, or equivalently, Pdot_pm/P. """ - return (pm/1000.0*ARCSECTORAD/SECPERJULYR)**2.0 * KMPERKPC*D / (C/1000.0) + return (pm / 1000.0 * ARCSECTORAD / SECPERJULYR) ** 2.0 * KMPERKPC * D / (C / 1000.0) + -def galactic_accel_simple(l, b, D, v_o=240.0, R_o = 8.34): +def galactic_accel_simple(l, b, D, v_o=240.0, R_o=8.34): """ galactic_accel_simple(l, b, D, v_o=240.0, R_o = 8.34): Return the approximate projected acceleration/c (in s^-1) @@ -637,12 +690,13 @@ def galactic_accel_simple(l, b, D, v_o=240.0, R_o = 8.34): and D is the distance in kpc. This is eqn 2.4 of Phinney 1992. The default v_o and R_o values are from Reid et al 2014. """ - A_sun = v_o*v_o / (C/1000.0 * R_o*KMPERKPC) - d = D/R_o - cbcl = Num.cos(b*DEGTORAD) * Num.cos(l*DEGTORAD) - return -A_sun * (cbcl + (d - cbcl) / (1.0 + d*d - 2.0*d*cbcl)) + A_sun = v_o * v_o / (C / 1000.0 * R_o * KMPERKPC) + d = D / R_o + cbcl = Num.cos(b * DEGTORAD) * Num.cos(l * DEGTORAD) + return -A_sun * (cbcl + (d - cbcl) / (1.0 + d * d - 2.0 * d * cbcl)) -def galactic_accel(l, b, D, v_o=240.0, R_o = 8.34): + +def galactic_accel(l, b, D, v_o=240.0, R_o=8.34): """ galactic_accel(l, b, D, v_o=240.0, R_o = 8.34): Return the approximate projected acceleration/c (in s^-1) @@ -653,12 +707,13 @@ def galactic_accel(l, b, D, v_o=240.0, R_o = 8.34): and D is the distance in kpc. This is eqn 5 of Nice & Taylor 1995. The default v_o and R_o values are from Reid et al 2014. """ - A_sun = v_o*v_o / (C/1000.0 * R_o*KMPERKPC) - cb = Num.cos(b*DEGTORAD) - cl = Num.cos(l*DEGTORAD) - sl = Num.sin(l*DEGTORAD) - beta = D/R_o * cb - cl - return -A_sun * cb * (cl + beta / (sl**2 + beta**2)) + A_sun = v_o * v_o / (C / 1000.0 * R_o * KMPERKPC) + cb = Num.cos(b * DEGTORAD) + cl = Num.cos(l * DEGTORAD) + sl = Num.sin(l * DEGTORAD) + beta = D / R_o * cb - cl + return -A_sun * cb * (cl + beta / (sl ** 2 + beta ** 2)) + def gal_z_accel(l, b, D): """ @@ -670,11 +725,12 @@ def gal_z_accel(l, b, D): the galactic longitude and latitude (in deg) respectively, and D is the distance in kpc. This is eqn 3+4 of Nice & Taylor 1995. """ - sb = Num.sin(b*DEGTORAD) + sb = Num.sin(b * DEGTORAD) z = D * sb - az = 1.08e-19 * (1.25 * z / Num.sqrt(z**2 + 0.0324) + 0.58 * z) + az = 1.08e-19 * (1.25 * z / Num.sqrt(z ** 2 + 0.0324) + 0.58 * z) return az * sb + def beam_halfwidth(obs_freq, dish_diam): """ beam_halfwidth(obs_freq, dish_diam): @@ -682,7 +738,8 @@ def beam_halfwidth(obs_freq, dish_diam): 'obs_freq' = the observing frqeuency in MHz 'dish_diam' = the telescope diameter in m """ - return 1.2*SOL/(obs_freq*10.0**6)/dish_diam*RADTODEG*60/2 + return 1.2 * SOL / (obs_freq * 10.0 ** 6) / dish_diam * RADTODEG * 60 / 2 + def limiting_flux_dens(Ttot, G, BW, T, P=0.01, W=0.05, polar=2, factor=15.0): """ @@ -704,7 +761,8 @@ def limiting_flux_dens(Ttot, G, BW, T, P=0.01, W=0.05, polar=2, factor=15.0): Parkes Multibeam: Tsys = 21 K, G = 0.735 K/Jy """ w = W * P - return Num.sqrt(w/((P-w)*polar*BW*T))*factor*Ttot/G + return Num.sqrt(w / ((P - w) * polar * BW * T)) * factor * Ttot / G + def dm_info(dm=None, dmstep=1.0, freq=1390.0, numchan=512, chanwidth=0.5): """ @@ -723,20 +781,22 @@ def dm_info(dm=None, dmstep=1.0, freq=1390.0, numchan=512, chanwidth=0.5): print(" Smearing per chan (ms) = %.3g" % \ (1000.0 * dm_smear(dm, chanwidth, freq))) + def best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, chanwidth=0.5): """ best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, chanwidth=0.5): Return the required DM step to keep the total smearing below 'maxsmear' (in ms). """ BW = chanwidth * numchan - tau_tot = maxsmear/1000.0 + tau_tot = maxsmear / 1000.0 tau_chan = dm_smear(dm, chanwidth, freq) tau_samp = dt - if (tau_tot**2.0 < (tau_chan**2.0+tau_samp**2.0)): + if (tau_tot ** 2.0 < (tau_chan ** 2.0 + tau_samp ** 2.0)): print("The requested total smearing is smaller than one or more of the components.") return 0.0 else: - return 0.0001205*freq**3.0*2.0/BW*Num.sqrt(tau_tot**2.0-tau_chan**2.0-tau_samp**2.0) + return 0.0001205 * freq ** 3.0 * 2.0 / BW * Num.sqrt(tau_tot ** 2.0 - tau_chan ** 2.0 - tau_samp ** 2.0) + def dm_smear(dm, BW, center_freq): """ @@ -746,6 +806,7 @@ def dm_smear(dm, BW, center_freq): """ return dm * BW / (0.0001205 * center_freq * center_freq * center_freq) + def diagonal_DM(dt, chanBW, center_freq): """ diagonal_DM(dt, chanBW, center_freq): @@ -754,6 +815,7 @@ def diagonal_DM(dt, chanBW, center_freq): """ return (0.0001205 * center_freq * center_freq * center_freq) * dt / chanBW + def pulse_broadening(DM, f_ctr): """ pulse_broadening(DM, f_ctr): @@ -762,8 +824,9 @@ def pulse_broadening(DM, f_ctr): 'f_ctr' should be in MHz. The approximate error is 0.65 in log(tau). """ logDM = Num.log10(DM) - return 10.0**(-3.59 + 0.129*logDM + 1.02*logDM**2.0 - - 4.4*Num.log10(f_ctr/1000.0))/1000.0 + return 10.0 ** (-3.59 + 0.129 * logDM + 1.02 * logDM ** 2.0 - + 4.4 * Num.log10(f_ctr / 1000.0)) / 1000.0 + def rrat_period(times, numperiods=20, output=True): """ @@ -775,9 +838,9 @@ def rrat_period(times, numperiods=20, output=True): print some diagnostic information """ ts = Num.asarray(sorted(times)) - ps = (ts[1]-ts[0])/Num.arange(1, numperiods+1) + ps = (ts[1] - ts[0]) / Num.arange(1, numperiods + 1) dts = Num.diff(ts) - xs = dts / ps[:,Num.newaxis] + xs = dts / ps[:, Num.newaxis] metric = Num.sum(Num.fabs((xs - xs.round())), axis=1) pnum = metric.argmin() numrots = xs.round()[pnum].sum() @@ -791,13 +854,15 @@ def rrat_period(times, numperiods=20, output=True): print(dts / p) return p + def guess_DMstep(DM, dt, BW, f_ctr): """ guess_DMstep(DM, dt, BW, f_ctr): Choose a reasonable DMstep by setting the maximum smearing across the 'BW' to equal the sampling time 'dt'. """ - return dt*0.0001205*f_ctr**3.0/(0.5*BW) + return dt * 0.0001205 * f_ctr ** 3.0 / (0.5 * BW) + def delay_from_DM(DM, freq_emitted): """ @@ -805,14 +870,15 @@ def delay_from_DM(DM, freq_emitted): a Dispersion Measure (DM) in cm-3 pc, and the emitted frequency (freq_emitted) of the pulsar in MHz. """ - if (type(freq_emitted)==type(0.0)): + if (type(freq_emitted) == type(0.0)): if (freq_emitted > 0.0): - return DM/(0.000241*freq_emitted*freq_emitted) + return DM / (0.000241 * freq_emitted * freq_emitted) else: return 0.0 else: return Num.where(freq_emitted > 0.0, - DM/(0.000241*freq_emitted*freq_emitted), 0.0) + DM / (0.000241 * freq_emitted * freq_emitted), 0.0) + def delay_from_foffsets(df, dfd, dfdd, times): """ @@ -821,11 +887,12 @@ def delay_from_foffsets(df, dfd, dfdd, times): at the given times in seconds. """ f_delays = df * times - fd_delays = dfd * times**2 / 2.0 - fdd_delays = dfdd * times**3 / 6.0 + fd_delays = dfd * times ** 2 / 2.0 + fdd_delays = dfdd * times ** 3 / 6.0 return (f_delays + fd_delays + fdd_delays) -def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, + +def smear_plot(dm=[1.0, 1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, numchan=512, numsub=32, chanwidth=0.5, dt=0.000125, device='/xwin'): """ @@ -841,7 +908,7 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, maxDMerror = 0.5 * dmstep maxsubDMerror = 0.5 * subdmstep ldms = span(Num.log10(dm[0]), Num.log10(dm[1]), numpts) - dms = 10.0**ldms + dms = 10.0 ** ldms # Smearing from sample rate dts = Num.zeros(numpts) + 1000.0 * dt # Smearing due to the intrinsic channel width @@ -852,21 +919,21 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, # Smearing in each subband due to max DM mismatch subband_smear = Num.zeros(numpts) + \ 1000.0 * dm_smear(maxsubDMerror, subBW, freq) - total_smear = Num.sqrt(dts**2.0 + chan_smear**2.0 + - subband_smear**2.0 + BW_smear**2.0) + total_smear = Num.sqrt(dts ** 2.0 + chan_smear ** 2.0 + + subband_smear ** 2.0 + BW_smear ** 2.0) maxval = Num.log10(2.0 * max(total_smear)) minval = Num.log10(0.5 * min([min(dts), min(chan_smear), - min(BW_smear), min(subband_smear)])) + min(BW_smear), min(subband_smear)])) Pgplot.plotxy(Num.log10(total_smear), ldms, rangey=[minval, maxval], logx=1, logy=1, labx="Dispersion Measure", laby="Smearing (ms)", device=device) ppgplot.pgsch(0.8) - ppgplot.pgmtxt("t", 1.5, 1.0/12.0, 0.5, r"\(2156)\dcenter\u = %gMHz" % freq) - ppgplot.pgmtxt("t", 1.5, 3.0/12.0, 0.5, r"N\dchan\u = %d" % numchan) - ppgplot.pgmtxt("t", 1.5, 5.0/12.0, 0.5, r"N\dsub\u = %d" % numsub) - ppgplot.pgmtxt("t", 1.5, 7.0/12.0, 0.5, r"BW\dchan\u = %gMHz" % chanwidth) - ppgplot.pgmtxt("t", 1.5, 9.0/12.0, 0.5, r"\gDDM = %g" % dmstep) - ppgplot.pgmtxt("t", 1.5, 11.0/12.0, 0.5, r"\gDDM\dsub\u = %g" % subdmstep) + ppgplot.pgmtxt("t", 1.5, 1.0 / 12.0, 0.5, r"\(2156)\dcenter\u = %gMHz" % freq) + ppgplot.pgmtxt("t", 1.5, 3.0 / 12.0, 0.5, r"N\dchan\u = %d" % numchan) + ppgplot.pgmtxt("t", 1.5, 5.0 / 12.0, 0.5, r"N\dsub\u = %d" % numsub) + ppgplot.pgmtxt("t", 1.5, 7.0 / 12.0, 0.5, r"BW\dchan\u = %gMHz" % chanwidth) + ppgplot.pgmtxt("t", 1.5, 9.0 / 12.0, 0.5, r"\gDDM = %g" % dmstep) + ppgplot.pgmtxt("t", 1.5, 11.0 / 12.0, 0.5, r"\gDDM\dsub\u = %g" % subdmstep) ppgplot.pgsch(1.0) ppgplot.pgmtxt("b", -7.5, 0.95, 1.0, "Total") Pgplot.plotxy(Num.log10(dts), ldms, color="green", @@ -885,7 +952,7 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, def search_sensitivity(Ttot, G, BW, chan, freq, T, dm, ddm, dt, Pmin=0.001, - Pmax=1.0, W=0.1, polar=2, factor=15.0, pts=1000): + Pmax=1.0, W=0.1, polar=2, factor=15.0, pts=1000): """ (periods, S_min) = search_sensitivity(Ttot, G, BW, chan, freq, T, dm, ddm, dt, Pmin=0.001, Pmax=1.0, W=0.1, polar=2, factor=15.0, pts=1000): @@ -913,13 +980,14 @@ def search_sensitivity(Ttot, G, BW, chan, freq, T, dm, ddm, dt, Pmin=0.001, Parkes Multibeam: Tsys = 21 K, G = 0.735 K/Jy """ periods = span(Pmin, Pmax, pts) - widths = Num.sqrt((W * periods)**2.0 + - dm_smear(dm, BW/chan, freq)**2.0 + \ - dm_smear(ddm/2.0, BW, freq)**2.0 + \ - dt**2.0) / periods + widths = Num.sqrt((W * periods) ** 2.0 + + dm_smear(dm, BW / chan, freq) ** 2.0 + \ + dm_smear(ddm / 2.0, BW, freq) ** 2.0 + \ + dt ** 2.0) / periods return (periods, limiting_flux_dens(Ttot, G, BW, T, periods, widths, polar=polar, factor=factor)) + def smin_noise(Ttot, G, BW, dt): """ smin_noise(Ttot, G, BW, dt): @@ -935,6 +1003,7 @@ def smin_noise(Ttot, G, BW, dt): """ return Ttot / (G * Num.sqrt(2 * BW * dt)) + def read_profile(filenm, normalize=0): """ read_profile(filenm, normalize=0): @@ -945,14 +1014,17 @@ def read_profile(filenm, normalize=0): """ prof = [] for line in open(filenm): - if line.startswith("#"): continue - else: prof.append(float(line.split()[-1])) + if line.startswith("#"): + continue + else: + prof.append(float(line.split()[-1])) prof = Num.asarray(prof) if normalize: prof -= min(prof) prof /= max(prof) return prof + def calc_phs(MJD, refMJD, *args): """ calc_phs(MJD, refMJD, *args): @@ -961,14 +1033,15 @@ def calc_phs(MJD, refMJD, *args): optional freq derivs (f1...) as ordered in the *args list (e.g. [f0, f1, f2, ...]). """ - t = (MJD-refMJD)*SECPERDAY - n = len(args) # polynomial order + t = (MJD - refMJD) * SECPERDAY + n = len(args) # polynomial order nargs = Num.concatenate(([0.0], args)) taylor_coeffs = Num.concatenate(([0.0], - Num.cumprod(1.0/(Num.arange(float(n))+1.0)))) + Num.cumprod(1.0 / (Num.arange(float(n)) + 1.0)))) p = Num.poly1d((taylor_coeffs * nargs)[::-1]) return Num.fmod(p(t), 1.0) + def calc_freq(MJD, refMJD, *args): """ calc_freq(MJD, refMJD, *args): @@ -977,13 +1050,14 @@ def calc_freq(MJD, refMJD, *args): optional freq derivs (f1...) as ordered in the *args list (e.g. [f0, f1, f2, ...]). """ - t = (MJD-refMJD)*SECPERDAY - n = len(args) # polynomial order + t = (MJD - refMJD) * SECPERDAY + n = len(args) # polynomial order taylor_coeffs = Num.concatenate(([1.0], - Num.cumprod(1.0/(Num.arange(float(n-1))+1.0)))) + Num.cumprod(1.0 / (Num.arange(float(n - 1)) + 1.0)))) p = Num.poly1d((taylor_coeffs * args)[::-1]) return p(t) + def calc_t0(MJD, refMJD, *args): """ calc_t0(MJD, refMJD, *args): @@ -992,9 +1066,10 @@ def calc_t0(MJD, refMJD, *args): """ phs = calc_phs(MJD, refMJD, *args) p = 1.0 / calc_freq(MJD, refMJD, *args) - return MJD - phs*p/SECPERDAY + return MJD - phs * p / SECPERDAY -def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' '*13): + +def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' ' * 13): """ Princeton Format @@ -1007,24 +1082,26 @@ def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' '* 69-78 DM correction (pc cm^-3) """ # Splice together the fractional and integer MJDs - toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] - if dm!=0.0: - print(obs+" %13s %8.3f %s %8.2f %9.4f" % \ + toa = "%5d" % int(toa_MJDi) + ("%.13f" % toa_MJDf)[1:] + if dm != 0.0: + print(obs + " %13s %8.3f %s %8.2f %9.4f" % \ (name, freq, toa, toaerr, dm)) else: - print(obs+" %13s %8.3f %s %8.2f" % \ + print(obs + " %13s %8.3f %s %8.2f" % \ (name, freq, toa, toaerr)) + def write_tempo2_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name='unk', flags=""): """ Write Tempo2 format TOAs. Note that first line of file should be "FORMAT 1" TOA format is "file freq sat satErr siteID " """ - toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] + toa = "%5d" % int(toa_MJDi) + ("%.13f" % toa_MJDf)[1:] if dm != 0.0: flags += "-dm %.4f" % (dm,) - print("%s %f %s %.2f %s %s" % (name,freq,toa,toaerr,obs,flags)) + print("%s %f %s %.2f %s %s" % (name, freq, toa, toaerr, obs, flags)) + def rotate(arr, bins): """ @@ -1037,6 +1114,7 @@ def rotate(arr, bins): else: return Num.concatenate((arr[bins:], arr[:bins])) + def interp_rotate(arr, bins, zoomfact=10): """ interp_rotate(arr, bins, zoomfact=10): @@ -1045,11 +1123,12 @@ def interp_rotate(arr, bins, zoomfact=10): whole-number of interpolated bins. The resulting vector will have the same length as the oiginal. """ - newlen = len(arr)*zoomfact - rotbins = int(Num.floor(bins*zoomfact+0.5)) % newlen + newlen = len(arr) * zoomfact + rotbins = int(Num.floor(bins * zoomfact + 0.5)) % newlen newarr = sinc_interp.periodic_interp(arr, zoomfact) return rotate(newarr, rotbins)[::zoomfact] + def fft_rotate(arr, bins): """ fft_rotate(arr, bins): @@ -1059,10 +1138,11 @@ def fft_rotate(arr, bins): the same length as the original. """ arr = Num.asarray(arr) - freqs = Num.arange(arr.size/2+1, dtype=Num.float) + freqs = Num.arange(arr.size / 2 + 1, dtype=Num.float) phasor = Num.exp(complex(0.0, TWOPI) * freqs * bins / float(arr.size)) return Num.fft.irfft(phasor * Num.fft.rfft(arr), arr.size) + def corr(profile, template): """ corr(profile, template): @@ -1071,6 +1151,7 @@ def corr(profile, template): return FFT.irfft(FFT.rfft(template) * Num.conjugate(FFT.rfft(profile)), profile.size) + def autocorr(x): """ autocorr(x): @@ -1079,9 +1160,10 @@ def autocorr(x): points are symmetric (corresponding to negative lags). """ fftx = FFT.rfft(x) - acf = FFT.irfft(fftx * Num.conjugate(fftx), x.size)[:len(x)/2+1] + acf = FFT.irfft(fftx * Num.conjugate(fftx), x.size)[:len(x) / 2 + 1] return acf / acf[0] + def maxphase(profile, template): """ maxphase(profile, template): @@ -1090,22 +1172,24 @@ def maxphase(profile, template): """ return float(Num.argmax(corr(profile, template))) / len(profile) + def linear_interpolate(vector, zoom=10): """ linear_interpolate(vector, zoom=10): Linearly interpolate 'vector' by a factor of 'zoom'. """ n = len(vector) - ivect = Num.zeros(zoom*n, dtype='d') + ivect = Num.zeros(zoom * n, dtype='d') nvect = Num.concatenate((vector, vector[:1])) - ivals = Num.arange(zoom, dtype='d')/zoom + ivals = Num.arange(zoom, dtype='d') / zoom loy = nvect[0] for ii in range(n): - hiy = nvect[ii+1] - ivect[ii*zoom:(ii+1)*zoom] = ivals*(hiy-loy) + loy + hiy = nvect[ii + 1] + ivect[ii * zoom:(ii + 1) * zoom] = ivals * (hiy - loy) + loy loy = hiy return ivect + def downsample(vector, factor): """ downsample(vector, factor): @@ -1115,9 +1199,10 @@ def downsample(vector, factor): if (len(vector) % factor): print("Length of 'vector' is not divisible by 'factor'=%d!" % factor) return 0 - newvector = Num.reshape(vector, (len(vector)/factor, factor)) + newvector = Num.reshape(vector, (len(vector) / factor, factor)) return Num.add.reduce(newvector, 1) + def measure_phase_corr(profile, template, zoom=10): """ measure_phase_corr(profile, template, zoom=10): @@ -1127,17 +1212,18 @@ def measure_phase_corr(profile, template, zoom=10): """ zoomprof = zoomtemp = zoom if (len(template) != len(profile)): - if (len(template)%len(profile) == 0): - zoomprof = zoom*len(template)/len(profile) + if (len(template) % len(profile) == 0): + zoomprof = zoom * len(template) / len(profile) else: print("Warning!: The lengths of the template (%d) and profile (%d)" % \ (len(template), len(profile))) print(" are not the same!") - #itemp = linear_interpolate(rotate(template, Num.argmax(template)), zoomtemp) + # itemp = linear_interpolate(rotate(template, Num.argmax(template)), zoomtemp) itemp = linear_interpolate(template, zoomtemp) iprof = linear_interpolate(profile, zoomprof) return maxphase(iprof, itemp) + def spike_profile(N, phase, fwhm): """ spike_profile(N, phase, fwhm): @@ -1151,12 +1237,14 @@ def spike_profile(N, phase, fwhm): peakst = 0.5 - fwhm peakend = 0.5 + fwhm normalize = 1.0 / fwhm + + # TODO: (gijs) bug, mean is not defined if (mean < 0.5): - phsval = Num.where(Num.greater(phsval, mean+0.5), - phsval-1.0, phsval) + phsval = Num.where(Num.greater(phsval, mean + 0.5), + phsval - 1.0, phsval) else: - phsval = Num.where(Num.less(phsval, mean-0.5), - phsval+1.0, phsval) + phsval = Num.where(Num.less(phsval, mean - 0.5), + phsval + 1.0, phsval) return Num.where(Num.less_equal(phsval, 0.5), Num.where(Num.less_equal(phsval, peakst), 0.0, (phsval - peakst) * @@ -1165,6 +1253,7 @@ def spike_profile(N, phase, fwhm): 0.0, (1.0 - (phsval - 0.5) * normalize) * normalize)) + def harm_to_sum(fwhm): """ harm_to_sum(fwhm): @@ -1176,7 +1265,8 @@ def harm_to_sum(fwhm): 0.0180, 0.0191, 0.0199, 0.0207, 0.0220, 0.0228, 0.0242, 0.0257, 0.0273, 0.0295, 0.0313, 0.0338, 0.0366, 0.0396, 0.0437, 0.0482, 0.0542, 0.0622, 0.0714, 0.0836, 0.1037, 0.1313, 0.1799, 0.2883] - return len(fwhms)-bisect.bisect(fwhms, fwhm)+1 + return len(fwhms) - bisect.bisect(fwhms, fwhm) + 1 + def expcos_profile(N, phase, fwhm): """ @@ -1190,10 +1280,11 @@ def expcos_profile(N, phase, fwhm): from simple_roots import secant def fwhm_func(k, fwhm=fwhm): if (fwhm < 0.02): - return Num.arccos(1.0-Num.log(2.0)/k)/PI-fwhm + return Num.arccos(1.0 - Num.log(2.0) / k) / PI - fwhm else: - return Num.arccos(Num.log(0.5*(Num.exp(k)+ - Num.exp(-k)))/k)/PI-fwhm + return Num.arccos(Num.log(0.5 * (Num.exp(k) + + Num.exp(-k))) / k) / PI - fwhm + phsval = TWOPI * Num.arange(N, dtype='d') / float(N) phi = -phase * TWOPI if (fwhm >= 0.5): @@ -1205,10 +1296,10 @@ def fwhm_func(k, fwhm=fwhm): phsval = Num.fmod(phsval + phi, TWOPI) phsval = Num.where(Num.greater(phsval, PI), phsval - TWOPI, phsval) - denom = ((1 + 1/(8*k) + 9/(128*k*k) + 75/(1024*k**3) + - 3675/(32768*k**4) + 59535/(262144*k**5)) / Num.sqrt(TWOPI*k)) - return Num.where(Num.greater(Num.fabs(phsval/TWOPI), 3.0*fwhm), 0.0, - Num.exp(k*(Num.cos(phsval)-1.0))/denom) + denom = ((1 + 1 / (8 * k) + 9 / (128 * k * k) + 75 / (1024 * k ** 3) + + 3675 / (32768 * k ** 4) + 59535 / (262144 * k ** 5)) / Num.sqrt(TWOPI * k)) + return Num.where(Num.greater(Num.fabs(phsval / TWOPI), 3.0 * fwhm), 0.0, + Num.exp(k * (Num.cos(phsval) - 1.0)) / denom) else: k = secant(fwhm_func, 1e-8, 0.5) norm = 1.0 / (i0(k) - Num.exp(-k)) @@ -1223,6 +1314,7 @@ def fwhm_func(k, fwhm=fwhm): return norm * (Num.exp(k * Num.cos(phsval + phi)) - Num.exp(-k)) + def read_gaussfitfile(gaussfitfile, proflen): """ read_gaussfitfile(gaussfitfile, proflen): @@ -1242,7 +1334,7 @@ def read_gaussfitfile(gaussfitfile, proflen): if line.lstrip().startswith("fwhm"): fwhms.append(float(line.split()[2])) if not (len(phass) == len(ampls) == len(fwhms)): - print("Number of phases, amplitudes, and FWHMs are not the same in '%s'!"%gaussfitfile) + print("Number of phases, amplitudes, and FWHMs are not the same in '%s'!" % gaussfitfile) return 0.0 phass = Num.asarray(phass) ampls = Num.asarray(ampls) @@ -1255,12 +1347,13 @@ def read_gaussfitfile(gaussfitfile, proflen): fwhms = Num.take(fwhms, new_order) # Now put the biggest gaussian at phase = 0.0 phass = phass - phass[0] - phass = Num.where(phass<0.0, phass+1.0, phass) + phass = Num.where(phass < 0.0, phass + 1.0, phass) template = Num.zeros(proflen, dtype='d') for ii in range(len(ampls)): - template += ampls[ii]*gaussian_profile(proflen, phass[ii], fwhms[ii]) + template += ampls[ii] * gaussian_profile(proflen, phass[ii], fwhms[ii]) return template + def gaussian_profile(N, phase, fwhm): """ gaussian_profile(N, phase, fwhm): @@ -1272,15 +1365,16 @@ def gaussian_profile(N, phase, fwhm): Note: The FWHM of a gaussian is approx 2.35482 sigma """ sigma = fwhm / 2.35482 - mean = phase % 1.0 # Ensures between 0-1 + mean = phase % 1.0 # Ensures between 0-1 phss = Num.arange(N, dtype=Num.float64) / N - mean # Following two lines allow the Gaussian to wrap in phase phss[phss > 0.5] -= 1.0 phss[phss < -0.5] += 1.0 zs = Num.fabs(phss) / sigma # The following avoids overflow by truncating the Gaussian at 20 sigma - return Num.where(zs<20.0, Num.exp(-0.5 * zs**2.0) / \ - (sigma * Num.sqrt(2*Num.pi)), 0.0) + return Num.where(zs < 20.0, Num.exp(-0.5 * zs ** 2.0) / \ + (sigma * Num.sqrt(2 * Num.pi)), 0.0) + def gauss_profile_params(profile, output=0): """ @@ -1297,11 +1391,13 @@ def gauss_profile_params(profile, output=0): the return values will be printed. """ profile = Num.asarray(profile) + def funct(afpo, profile): return afpo[0] * gaussian_profile(len(profile), afpo[2], afpo[1]) \ + afpo[3] - profile - ret = leastsq(funct, [profile.max()-profile.min(), - 0.25, profile.argmax()/float(len(profile)), + + ret = leastsq(funct, [profile.max() - profile.min(), + 0.25, profile.argmax() / float(len(profile)), profile.min()], args=(profile)) if (output): phases = Num.arange(0.0, 1.0, @@ -1338,6 +1434,7 @@ def funct(afpo, profile): print("") return (ret[0][0], ret[0][1], ret[0][2], ret[0][3], resid_avg, resid_std) + def twogauss_profile_params(profile, output=0): """ twogauss_profile_params(profile, output=0): @@ -1355,21 +1452,24 @@ def twogauss_profile_params(profile, output=0): If 'output' is true, the fit will be plotted and the return values will be printed. """ + def yfunct(afpo, n): return afpo[0] * gaussian_profile(n, afpo[2], afpo[1]) + \ afpo[3] * gaussian_profile(n, afpo[5], afpo[4]) + afpo[6] + def min_funct(afpo, profile): return yfunct(afpo, len(profile)) - profile - ret = leastsq(min_funct, [max(profile)-min(profile), + + ret = leastsq(min_funct, [max(profile) - min(profile), 0.05, - Num.argmax(profile)/float(len(profile)), - 0.2 * max(profile)-min(profile), + Num.argmax(profile) / float(len(profile)), + 0.2 * max(profile) - min(profile), 0.1, - Num.fmod(Num.argmax(profile)/float(len(profile))+0.5, 1.0), + Num.fmod(Num.argmax(profile) / float(len(profile)) + 0.5, 1.0), min(profile)], args=(profile)) if (output): phases = Num.arange(0.0, 1.0, - 1.0 / len(profile)) + 0.5 / len(profile) + 1.0 / len(profile)) + 0.5 / len(profile) Pgplot.plotxy(profile, phases, rangex=[0.0, 1.0], labx='Pulse Phase', laby='Pulse Intensity') bestfit = yfunct(ret[0], len(profile)) @@ -1405,8 +1505,6 @@ def min_funct(afpo, profile): ret[0][5], ret[0][6], resid_avg, resid_std) - - def estimate_flux_density(profile, N, dt, Ttot, G, BW, prof_stdev, display=0): """ estimate_flux_density(profile, N, dt, Ttot, G, BW, prof_stdev, display=0): @@ -1423,12 +1521,13 @@ def estimate_flux_density(profile, N, dt, Ttot, G, BW, prof_stdev, display=0): Parkes Multibeam: Tsys = 21 K, G = 0.735 K/Jy """ (amp, fwhm, phase, offset, resid_avg, resid_std) = \ - gauss_profile_params(profile, display) + gauss_profile_params(profile, display) T = N * dt norm_fact = (prof_stdev * len(profile)) / \ - smin_noise(Ttot, G, BW, T / len(profile)) + smin_noise(Ttot, G, BW, T / len(profile)) return Num.add.reduce(profile - offset) / norm_fact + def max_spike_power(FWHM): """ max_spike_power(FWHM): @@ -1445,7 +1544,8 @@ def max_spike_power(FWHM): (0.0 < FWHM <= 0.5) """ return ((36.4165309504 * FWHM - 32.0107844537) * FWHM \ - + 0.239948319674) * FWHM + 4.00277916584 + + 0.239948319674) * FWHM + 4.00277916584 + def num_spike_powers(FWHM): """ @@ -1461,16 +1561,18 @@ def num_spike_powers(FWHM): 'FWHM' is the full width at half-max of the spike. (0.0 < FWHM <= 0.5) """ - return -3.95499721563e-05 / FWHM**2 + 0.562069634689 / FWHM - \ + return -3.95499721563e-05 / FWHM ** 2 + 0.562069634689 / FWHM - \ 0.683604041138 + def incoherent_sum(amps): """ incoherent_sum(amps): Given a series of complex Fourier amplitudes, return a vector showing the accumulated incoherently-summed powers. """ - return Num.add.accumulate(Num.absolute(amps)**2.0) + return Num.add.accumulate(Num.absolute(amps) ** 2.0) + def coherent_sum(amps): """ @@ -1480,9 +1582,10 @@ def coherent_sum(amps): """ phss = Num.arctan2(amps.imag, amps.real) phs0 = phss[0] - phscorr = phs0 - Num.fmod((Num.arange(len(amps), dtype='d')+1.0)*phs0, TWOPI) - sumamps = Num.add.accumulate(amps*Num.exp(complex(0.0, 1.0)*phscorr)) - return Num.absolute(sumamps)**2.0 + phscorr = phs0 - Num.fmod((Num.arange(len(amps), dtype='d') + 1.0) * phs0, TWOPI) + sumamps = Num.add.accumulate(amps * Num.exp(complex(0.0, 1.0) * phscorr)) + return Num.absolute(sumamps) ** 2.0 + def dft_vector_response(roff, z=0.0, w=0.0, phs=0.0, N=1000): """ @@ -1493,12 +1596,13 @@ def dft_vector_response(roff, z=0.0, w=0.0, phs=0.0, N=1000): signal freq), average Fourier f-dot, z, and Fourier 2nd deriv, w. An optional phase in radians can be added. """ - r0 = roff - 0.5 * z + w / 12.0 # Make symmetric for all z and w + r0 = roff - 0.5 * z + w / 12.0 # Make symmetric for all z and w z0 = z - 0.5 * w us = Num.linspace(0.0, 1.0, N) - phss = 2.0 * Num.pi * (us * (us * (us * w/6.0 + z0/2.0) + r0) + phs) + phss = 2.0 * Num.pi * (us * (us * (us * w / 6.0 + z0 / 2.0) + r0) + phs) return Num.cumsum(Num.exp(Num.complex(0.0, 1.0) * phss)) / N + def prob_power(power): """ prob_power(power): @@ -1507,6 +1611,7 @@ def prob_power(power): """ return Num.exp(-power) + def Ftest(chi2_1, dof_1, chi2_2, dof_2): """ Ftest(chi2_1, dof_1, chi2_2, dof_2): @@ -1528,6 +1633,7 @@ def Ftest(chi2_1, dof_1, chi2_2, dof_2): F = (delta_chi2 / delta_dof) / new_redchi2 return 1.0 - fdtr(delta_dof, dof_2, F) + def equivalent_gaussian_sigma(p): """ equivalent_gaussian_sigma(p): @@ -1543,10 +1649,11 @@ def equivalent_gaussian_sigma(p): else: return extended_equiv_gaussian_sigma(logp) else: # Array input - return Num.where(logp>-30.0, - ndtri(1.0-p), + return Num.where(logp > -30.0, + ndtri(1.0 - p), extended_equiv_gaussian_sigma(logp)) + def extended_equiv_gaussian_sigma(logp): """ extended_equiv_gaussian_sigma(logp): @@ -1563,6 +1670,7 @@ def extended_equiv_gaussian_sigma(logp): denom = 1.0 + t * (1.432788 + t * (0.189269 + t * 0.001308)) return t - num / denom + def log_asymtotic_incomplete_gamma(a, z): """ log_asymtotic_incomplete_gamma(a, z): @@ -1576,10 +1684,11 @@ def log_asymtotic_incomplete_gamma(a, z): ii = 1 while (Num.fabs(newxpart) > 1e-15): term *= (a - ii) - newxpart = term / z**ii + newxpart = term / z ** ii x += newxpart ii += 1 - return (a-1.0)*Num.log(z) - z + Num.log(x) + return (a - 1.0) * Num.log(z) - z + Num.log(x) + def log_asymtotic_gamma(z): """ @@ -1587,14 +1696,15 @@ def log_asymtotic_gamma(z): Return the log of the gamma function in its asymtotic limit as z->infty. This is from Abramowitz and Stegun eqn 6.1.41. """ - x = (z-0.5) * Num.log(z) - z + 0.91893853320467267 - y = 1.0/(z*z) + x = (z - 0.5) * Num.log(z) - z + 0.91893853320467267 + y = 1.0 / (z * z) x += (((- 5.9523809523809529e-4 * y + 7.9365079365079365079365e-4) * y - - 2.7777777777777777777778e-3) * y - + 8.3333333333333333333333e-2) / z; + - 2.7777777777777777777778e-3) * y + + 8.3333333333333333333333e-2) / z; return x + def prob_sum_powers(power, nsum): """ prob_sum_powers(power, nsum): @@ -1609,7 +1719,8 @@ def prob_sum_powers(power, nsum): # = Q(power*2|nsum*2) (from A&S 26.4.19) # = Gamma(nsum,power)/Gamma(nsum) # = [Gamma(nsum) - gamma(nsum,power)]/Gamma(nsum) - return chdtrc(2*nsum, 2.0*power) + return chdtrc(2 * nsum, 2.0 * power) + def log_prob_sum_powers(power, nsum): """ @@ -1640,6 +1751,7 @@ def log_prob_sum_powers(power, nsum): log_asymtotic_incomplete_gamma(nsum, power) - \ log_asymtotic_gamma(nsum)) + def sigma_power(power): """ sigma_power(power): @@ -1657,6 +1769,7 @@ def sigma_power(power): Num.sqrt(2.0 * power - Num.log(PI * power)), extended_equiv_gaussian_sigma(log_prob_sum_powers(power, 1))) + def sigma_sum_powers(power, nsum): """ sigma_sum_powers(power, nsum): @@ -1669,19 +1782,22 @@ def sigma_sum_powers(power, nsum): return equivalent_gaussian_sigma(prob_sum_powers(power, nsum)) else: return extended_equiv_gaussian_sigma(log_prob_sum_powers(power, nsum)) - else: # Array input + else: # Array input return Num.where(power < 100.0, equivalent_gaussian_sigma(prob_sum_powers(power, nsum)), extended_equiv_gaussian_sigma(log_prob_sum_powers(power, nsum))) + def power_at_sigma(sigma): """ power_at_sigma(sigma): Return the approximate normalized power level that is equivalent to a detection of significance 'sigma'. """ - return sigma**2 / 2.0 + Num.log(Num.sqrt(PIBYTWO) + return sigma ** 2 / 2.0 + Num.log(Num.sqrt(PIBYTWO) * sigma) + + def powersum_at_sigma(sigma, nsum): """ powersum_at_sigma(sigma, nsum): @@ -1690,6 +1806,7 @@ def powersum_at_sigma(sigma, nsum): """ return 0.5 * chdtri(2.0 * nsum, 1.0 - ndtr(sigma)) + def cand_sigma(N, power): """ cand_sigma(N, power): @@ -1699,6 +1816,7 @@ def cand_sigma(N, power): """ return ndtri(1.0 - N * prob_power(power)) + def fft_max_pulsed_frac(N, numphot, sigma=3.0): """ fft_max_pulsed_frac(N, numphot, sigma=3.0): @@ -1712,26 +1830,28 @@ def fft_max_pulsed_frac(N, numphot, sigma=3.0): # The following is the power level required to get a # noise spike that would appear somewhere in N bins # at the 'sigma' level - power_required = -Num.log((1.0-ndtr(sigma))/N) - return Num.sqrt(4.0 * numphot * power_required)/N + power_required = -Num.log((1.0 - ndtr(sigma)) / N) + return Num.sqrt(4.0 * numphot * power_required) / N + def p_to_f(p, pd, pdd=None): - """ - p_to_f(p, pd, pdd=None): - Convert period, period derivative and period second - derivative to the equivalent frequency counterparts. - Will also convert from f to p. - """ - f = 1.0 / p - fd = -pd / (p * p) - if (pdd is None): - return [f, fd] - else: - if (pdd==0.0): - fdd = 0.0 - else: - fdd = 2.0 * pd * pd / (p**3.0) - pdd / (p * p) - return [f, fd, fdd] + """ + p_to_f(p, pd, pdd=None): + Convert period, period derivative and period second + derivative to the equivalent frequency counterparts. + Will also convert from f to p. + """ + f = 1.0 / p + fd = -pd / (p * p) + if (pdd is None): + return [f, fd] + else: + if (pdd == 0.0): + fdd = 0.0 + else: + fdd = 2.0 * pd * pd / (p ** 3.0) - pdd / (p * p) + return [f, fd, fdd] + def pferrs(porf, porferr, pdorfd=None, pdorfderr=None): """ @@ -1740,14 +1860,15 @@ def pferrs(porf, porferr, pdorfd=None, pdorfderr=None): the pdot or fdot errors from the opposite one. """ if (pdorfd is None): - return [1.0 / porf, porferr / porf**2.0] + return [1.0 / porf, porferr / porf ** 2.0] else: - forperr = porferr / porf**2.0 - fdorpderr = Num.sqrt((4.0 * pdorfd**2.0 * porferr**2.0) / porf**6.0 + - pdorfderr**2.0 / porf**4.0) + forperr = porferr / porf ** 2.0 + fdorpderr = Num.sqrt((4.0 * pdorfd ** 2.0 * porferr ** 2.0) / porf ** 6.0 + + pdorfderr ** 2.0 / porf ** 4.0) [forp, fdorpd] = p_to_f(porf, pdorfd) return [forp, forperr, fdorpd, fdorpderr] + def pdot_from_B(p, B): """ pdot_from_B(p, B): @@ -1755,7 +1876,8 @@ def pdot_from_B(p, B): period (or pdot) 'p' (in sec) would experience given a magnetic field strength 'B' in gauss. """ - return (B / 3.2e19)**2.0 / p + return (B / 3.2e19) ** 2.0 / p + def pdot_from_age(p, age): """ @@ -1765,6 +1887,7 @@ def pdot_from_age(p, age): """ return p / (2.0 * age * SECPERJULYR) + def pdot_from_edot(p, edot, I=1.0e45): """ pdot_from_edot(p, edot, I=1.0e45): @@ -1772,7 +1895,8 @@ def pdot_from_edot(p, edot, I=1.0e45): would experience given an Edot 'edot' (in ergs/s) and a moment of inertia I. """ - return (p**3.0 * edot) / (4.0 * PI * PI * I) + return (p ** 3.0 * edot) / (4.0 * PI * PI * I) + def pulsar_age(f, fdot, n=3, fo=1e99): """ @@ -1782,7 +1906,8 @@ def pulsar_age(f, fdot, n=3, fo=1e99): is returned (assuming a braking index 'n'=3 and an initial spin freqquency fo >> f). But 'n' and 'fo' can be set. """ - return -f / ((n-1.0) * fdot) * (1.0 - (f / fo)**(n-1.0)) / SECPERJULYR + return -f / ((n - 1.0) * fdot) * (1.0 - (f / fo) ** (n - 1.0)) / SECPERJULYR + def pulsar_edot(f, fdot, I=1.0e45): """ @@ -1793,13 +1918,15 @@ def pulsar_edot(f, fdot, I=1.0e45): """ return -4.0 * PI * PI * I * f * fdot + def pulsar_B(f, fdot): """ pulsar_B(f, fdot): Return the estimated pulsar surface magnetic field strength (in Gauss) given the spin frequency and frequency derivative. """ - return 3.2e19 * Num.sqrt(-fdot/f**3.0) + return 3.2e19 * Num.sqrt(-fdot / f ** 3.0) + def pulsar_B_lightcyl(f, fdot): """ @@ -1809,7 +1936,8 @@ def pulsar_B_lightcyl(f, fdot): frequency derivative. """ p, pd = p_to_f(f, fdot) - return 2.9e8 * p**(-5.0/2.0) * Num.sqrt(pd) + return 2.9e8 * p ** (-5.0 / 2.0) * Num.sqrt(pd) + def psr_info(porf, pdorfd, time=None, input=None, I=1e45): """ @@ -1822,8 +1950,8 @@ def psr_info(porf, pdorfd, time=None, input=None, I=1e45): (duration of an observation) it will also return the Fourier frequency 'r' and Fourier fdot 'z'. I is the NS moment of inertia. """ - if ((input==None and porf > 1.0) or - (input=='f' or input=='F')): + if ((input == None and porf > 1.0) or + (input == 'f' or input == 'F')): pdorfd = - pdorfd / (porf * porf) porf = 1.0 / porf [f, fd] = p_to_f(porf, pdorfd) @@ -1841,6 +1969,7 @@ def psr_info(porf, pdorfd, time=None, input=None, I=1e45): print(" Assumed I = %g g cm^2" % I) print("") + def doppler(freq_observed, voverc): """doppler(freq_observed, voverc): This routine returns the frequency emitted by a pulsar diff --git a/python/presto/pypsrcat.py b/python/presto/pypsrcat.py index dbc381683..e6ff46e17 100644 --- a/python/presto/pypsrcat.py +++ b/python/presto/pypsrcat.py @@ -1,9 +1,13 @@ from __future__ import print_function -from builtins import map, object +from builtins import object from operator import attrgetter +import struct +import os.path +import math +import csv import astropy.coordinates as c import astropy.units as u -import struct, os, os.path, presto, psr_utils, math, csv +from presto import presto, psr_utils ## The most recent catalogs are available here: ## diff --git a/python/presto/residuals.py b/python/presto/residuals.py index 69ae4c720..f0e60e7fe 100644 --- a/python/presto/residuals.py +++ b/python/presto/residuals.py @@ -1,6 +1,9 @@ from __future__ import print_function from builtins import range from builtins import object +import struct +import numpy as Num + # # From the TEMPO Documentation: # @@ -15,8 +18,7 @@ # --Timing uncertainty (according to input file) # --Prefit residual (seconds) # -import struct -import numpy as Num + class residuals(object): pass diff --git a/python/presto/rfifind.py b/python/presto/rfifind.py index dbeb3dff3..2fb1f35e4 100644 --- a/python/presto/rfifind.py +++ b/python/presto/rfifind.py @@ -3,9 +3,9 @@ from builtins import range from builtins import object import numpy as np -import infodata from scipy.signal import medfilt -from Pgplot import * +from presto import infodata +from presto.Pgplot import * """ class rfifind: @@ -81,14 +81,14 @@ def read_mask(self): self.mask_zap_chans = np.asarray([]) self.mask_zap_chans = set(self.mask_zap_chans) if len(self.mask_zap_chans)==self.nchan: - print "WARNING!: All channels recommended for masking!" + print("WARNING!: All channels recommended for masking!") nzap = np.fromfile(x, dtype=np.int32, count=1)[0] if nzap: self.mask_zap_ints = np.fromfile(x, dtype=np.int32, count=nzap) else: self.mask_zap_ints = np.asarray([]) if len(self.mask_zap_ints)==self.nint: - print "WARNING!: All intervals recommended for masking!" + print("WARNING!: All intervals recommended for masking!") nzap_per_int = np.fromfile(x, dtype=np.int32, count=nint) self.mask_zap_chans_per_int = [] for nzap in nzap_per_int: @@ -112,7 +112,7 @@ def get_bandpass(self, plot=False): goodints = np.asarray(list(goodints)) self.goodints = goodints if not len(goodints): - print "WARNING!: Cannot get bandpass because all intervals zapped." + print("WARNING!: Cannot get bandpass because all intervals zapped.") return 0.0 self.bandpass_avg = self.avg_stats[goodints,:].mean(0) self.bandpass_std = self.std_stats[goodints,:].mean(0) @@ -242,7 +242,7 @@ def plot_zapped_bandpass(self, device="/xwin"): line=None, symbol=16, color='red') closeplot() else: - print "WARNING!: All channels recommended for masking!" + print("WARNING!: All channels recommended for masking!") def write_zap_chans(self, filename=None): if filename is None: @@ -267,7 +267,7 @@ def set_weights_and_offsets(self): self.weights[self.zap_chans] = 0.0 self.offsets = self.bandpass_avg else: - print "WARNING!: All channels recommended for masking!" + print("WARNING!: All channels recommended for masking!") def write_weights_and_offsets(self, filename=None, invertband=False): if filename is None: diff --git a/python/presto/sifting.py b/python/presto/sifting.py index 1dcec088a..816c0dcc5 100644 --- a/python/presto/sifting.py +++ b/python/presto/sifting.py @@ -1,13 +1,15 @@ #!/usr/bin/env python from __future__ import print_function from builtins import zip, str, range, object -from operator import itemgetter, attrgetter +from operator import attrgetter import sys, re, os, copy import numpy as np import matplotlib import matplotlib.pyplot as plt - -from presto import candidate_sigma +import os.path +import glob +from presto import infodata +from presto.presto import candidate_sigma # Note: the following are global variables that can # (and should) be set in whatever module @@ -1214,9 +1216,7 @@ def sift_directory(dir, outbasenm): Outputs: None """ - import os.path - import glob - import infodata + # TODO: Remove hard-coded values in this function # replace with command line options. diff --git a/python/presto/sigproc.py b/python/presto/sigproc.py index 2794ece23..0bd9c9189 100755 --- a/python/presto/sigproc.py +++ b/python/presto/sigproc.py @@ -6,7 +6,7 @@ import sys import math import warnings -from psr_constants import ARCSECTORAD +from presto.psr_constants import ARCSECTORAD telescope_ids = {"Fake": 0, "Arecibo": 1, "ARECIBO 305m": 1, "Ooty": 2, "Nancay": 3, "Parkes": 4, "Jodrell": 5, diff --git a/python/presto/sinc_interp.py b/python/presto/sinc_interp.py index 42405476e..91ef6492d 100644 --- a/python/presto/sinc_interp.py +++ b/python/presto/sinc_interp.py @@ -1,6 +1,5 @@ from __future__ import print_function import numpy as Num -import scipy.special import numpy.fft as FFT def sinc(xs): @@ -27,6 +26,7 @@ def kaiser_window(xs, halfwidth, alpha): 6 Similar to Hanning window 8.6 Almost identical to the Blackman window """ + # TODO: (gijs) bug, i0 not defined win = i0(alpha*Num.sqrt(1.0-(xs/halfwidth)**2.0))/i0(alpha) return Num.where(Num.fabs(xs)<=halfwidth, win, 0.0) @@ -138,10 +138,9 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): if __name__=='__main__': - from psr_utils import * - from Pgplot import * + from presto.psr_utils import * + from presto.Pgplot import * from numpy.random import normal - from scipy import interpolate # from spline import * fwhm = 0.01 diff --git a/python/presto/spectra.py b/python/presto/spectra.py index 83dd27686..a028a9bad 100644 --- a/python/presto/spectra.py +++ b/python/presto/spectra.py @@ -5,7 +5,7 @@ import numpy as np import scipy.signal -import psr_utils +from presto import psr_utils class Spectra(object): """A class to store spectra. This is mainly to provide diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index 5d11cd432..ce6f0b544 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -5,8 +5,9 @@ from .prestoswig import * import os.path import numpy as np -import Pgplot -import psr_utils +from presto import Pgplot +from presto import psr_utils + def val_with_err(value, error, length=0, digits=2, latex=0): """ @@ -24,45 +25,48 @@ def val_with_err(value, error, length=0, digits=2, latex=0): If latex=1, the string is converted into LaTeX markup. """ slen = 40 - outstr = ' '*slen + outstr = ' ' * slen if abs(length) > slen: slen = abs(length) - if digits==2: + if digits == 2: slen = nice_output_2(outstr, value, error, length) else: slen = nice_output_1(outstr, value, error, length) - outstr = outstr[:slen].strip() # remove null termination and any space + outstr = outstr[:slen].strip() # remove null termination and any space if length < 0: - outstr = outstr + (20-len(outstr))*' ' + outstr = outstr + (20 - len(outstr)) * ' ' if length > 0: - outstr = (20-len(outstr))*' ' + outstr + outstr = (20 - len(outstr)) * ' ' + outstr if latex: if outstr.find("x10") > 0: - outstr = outstr.replace("x10^", r"$\times$10$^{")+"}$" + outstr = outstr.replace("x10^", r"$\times$10$^{") + "}$" return outstr + def read_inffile(filename, verbose=True): """ read_inffile(filename, verbose=True): Return an infodata 'C' structure containing the data from the 'inf' file in 'filename'. """ - fname = filename[:-4] if (filename[-4:]==".inf") else filename + fname = filename[:-4] if (filename[-4:] == ".inf") else filename id = infodata() if verbose: - print("Reading information from", "\""+fname+".inf\"") + print("Reading information from", "\"" + fname + ".inf\"") readinf(id, fname) return id + def write_inffile(infodata, verbose=True): """ wite_inffile(infodata, verbose=True): Write an '.inf' file based on its input structure """ if verbose: - print("Writing .inf file to '%s.inf'"%infodata.name) + print("Writing .inf file to '%s.inf'" % infodata.name) writeinf(infodata) + def psrepoch(psrname, epoch, verbose=True): """ psrepoch(psrname or parname, epoch): @@ -84,6 +88,7 @@ def psrepoch(psrname, epoch, verbose=True): print('The pulsar was #%d in the database.' % num) return pp + def read_rzwcands(filename): """ read_rzwcands(filename): @@ -99,6 +104,7 @@ def read_rzwcands(filename): infile.close() return cands + def read_rawbincands(filename): """ read_rawbincands(filename): @@ -114,6 +120,7 @@ def read_rawbincands(filename): infile.close() return cands + def next2_to_n(x): """ next2_to_n(x): @@ -123,6 +130,7 @@ def next2_to_n(x): while (i < x): i = i << 1 return i + def rfft(data, sign=-1): """ rfft(data, sign=-1): @@ -143,13 +151,15 @@ def rfft(data, sign=-1): realfft(tmp, 1) return tmp.view(np.float32) + def spectralpower(fftarray): """ spectralpower(fftarray): Return the power spectrum of a complex FFT 'fftarray'. """ return power_arr(np.asarray(fftarray).astype(np.complex64)) - + + def spectralphase(fftarray): """ spectralphase(fftarray): @@ -157,6 +167,7 @@ def spectralphase(fftarray): """ return phase_arr(np.asarray(fftarray).astype(np.complex64)) + def rzw_response(roffset, z, w, numbetween=1, numkern=None): """ rzw_response(roffset, z, w, numbetween=1, numkern=None): @@ -171,7 +182,8 @@ def rzw_response(roffset, z, w, numbetween=1, numkern=None): numkern = w_resp_halfwidth(z, w, LOWACC) return gen_w_response(roffset, numbetween, numkern, z, w) -def maximize_r(data, r, norm = None): + +def maximize_r(data, r, norm=None): """ maximize_r(data, r, norm = None): Optimize the detection of a signal at Fourier frequency 'r' in @@ -184,7 +196,8 @@ def maximize_r(data, r, norm = None): maxpow = maxpow / rd.locpow if norm is None else maxpow / norm return [maxpow, rmax, rd] -def maximize_rz(data, r, z, norm = None): + +def maximize_rz(data, r, z, norm=None): """ maximize_rz(data, r, z, norm = None): Optimize the detection of a signal at location 'r', 'z' in @@ -197,7 +210,8 @@ def maximize_rz(data, r, z, norm = None): maxpow = maxpow / rd.locpow if norm is None else maxpow / norm return [maxpow, rmax, zmax, rd] -def maximize_rz_harmonics(data, r, z, numharm, norm = None): + +def maximize_rz_harmonics(data, r, z, numharm, norm=None): """ maximize_rz_harmonics(data, r, z, numharm, norm = None): Optimize the detection of a signal at location 'r', 'z' in @@ -211,17 +225,18 @@ def maximize_rz_harmonics(data, r, z, numharm, norm = None): rmax, zmax = max_rz_arr_harmonics(data, r, z, derivdata) maxpow = 0.0 for ii in range(numharm): - rds[ii].pow = derivdata[ii*7+0] - rds[ii].phs = derivdata[ii*7+1] - rds[ii].dpow = derivdata[ii*7+2] - rds[ii].dphs = derivdata[ii*7+3] - rds[ii].d2pow = derivdata[ii*7+4] - rds[ii].d2phs = derivdata[ii*7+5] - rds[ii].locpow = derivdata[ii*7+6] + rds[ii].pow = derivdata[ii * 7 + 0] + rds[ii].phs = derivdata[ii * 7 + 1] + rds[ii].dpow = derivdata[ii * 7 + 2] + rds[ii].dphs = derivdata[ii * 7 + 3] + rds[ii].d2pow = derivdata[ii * 7 + 4] + rds[ii].d2phs = derivdata[ii * 7 + 5] + rds[ii].locpow = derivdata[ii * 7 + 6] maxpow += rds[ii].pow / rds[ii].locpow if norm is None else rds[ii].pow / norm return [maxpow, rmax, zmax, rds] -def maximize_rzw(data, r, z, w, norm = None): + +def maximize_rzw(data, r, z, w, norm=None): """ maximize_rzw(data, r, z, w, norm = None): Optimize the detection of a signal at location 'r', 'z', 'w' in @@ -234,7 +249,8 @@ def maximize_rzw(data, r, z, w, norm = None): maxpow = maxpow / rd.locpow if norm is None else maxpow / norm return [maxpow, rmax, zmax, wmax, rd] -def maximize_rzw_harmonics(data, r, z, w, numharm, norm = None): + +def maximize_rzw_harmonics(data, r, z, w, numharm, norm=None): """ maximize_rzw_harmonics(data, r, z, w, numharm, norm = None): Optimize the detection of a signal at location 'r', 'z', 'w' in @@ -248,16 +264,17 @@ def maximize_rzw_harmonics(data, r, z, w, numharm, norm = None): rmax, zmax, wmax = max_rzw_arr_harmonics(data, r, z, w, derivdata) maxpow = 0.0 for ii in range(numharm): - rds[ii].pow = derivdata[ii*7+0] - rds[ii].phs = derivdata[ii*7+1] - rds[ii].dpow = derivdata[ii*7+2] - rds[ii].dphs = derivdata[ii*7+3] - rds[ii].d2pow = derivdata[ii*7+4] - rds[ii].d2phs = derivdata[ii*7+5] - rds[ii].locpow = derivdata[ii*7+6] + rds[ii].pow = derivdata[ii * 7 + 0] + rds[ii].phs = derivdata[ii * 7 + 1] + rds[ii].dpow = derivdata[ii * 7 + 2] + rds[ii].dphs = derivdata[ii * 7 + 3] + rds[ii].d2pow = derivdata[ii * 7 + 4] + rds[ii].d2phs = derivdata[ii * 7 + 5] + rds[ii].locpow = derivdata[ii * 7 + 6] maxpow += rds[ii].pow / rds[ii].locpow if norm is None else rds[ii].pow / norm return [maxpow, rmax, zmax, wmax, rds] + def search_fft(data, numcands, norm='default'): """ search_fft(data, numcands): @@ -266,15 +283,16 @@ def search_fft(data, numcands, norm='default'): 'norm' is the value to multiply each pow power by to get a normalized power spectrum (defaults to 1.0/(Freq 0) value) """ - if (norm=='default'): norm = 1.0/data[0].real + if (norm == 'default'): norm = 1.0 / data[0].real hp = np.zeros(numcands, 'f') hf = np.zeros(numcands, 'f') - search_minifft(data, len(data), norm, numcands, hp, hf) + search_minifft(data, len(data), norm, numcands, hp, hf) cands = [] for i in range(numcands): - cands.append([hp[i],hf[i]]) + cands.append([hp[i], hf[i]]) return cands + def ffdot_plane(data, lor, dr, numr, loz, dz, numz): """ ffdot_plane(data, lor, dr, numr, loz, dz, numz): @@ -291,13 +309,14 @@ def ffdot_plane(data, lor, dr, numr, loz, dz, numz): numr = int(numr) numz = int(numz) numbetween = int(1.0 / dr) - hiz = loz + (numz-1) * dz + hiz = loz + (numz - 1) * dz maxabsz = max(abs(loz), abs(hiz)) kern_half_width = z_resp_halfwidth(maxabsz, LOWACC) fftlen = next2_to_n(numr + 2 * numbetween * kern_half_width) ffd = corr_rz_plane(data, numbetween, lor, loz, hiz, numz, fftlen, LOWACC) - return np.array(ffd[:,0:numr], copy=1) + return np.array(ffd[:, 0:numr], copy=1) + def fdotdot_vol(data, lor, dr, numr, loz, dz, numz, low, dw, numw): """ @@ -315,15 +334,16 @@ def fdotdot_vol(data, lor, dr, numr, loz, dz, numz, low, dw, numw): lor = int(lor) numr, numz, numw = int(numr), int(numz), int(numw) numbetween = int(1.0 / dr) - hiz = loz + (numz-1) * dz + hiz = loz + (numz - 1) * dz maxabsz = max(abs(loz), abs(hiz)) - hiw = low + (numw-1) * dw + hiw = low + (numw - 1) * dw maxabsw = max(abs(low), abs(hiw)) kern_half_width = w_resp_halfwidth(maxabsz, maxabsw, LOWACC) fftlen = next2_to_n(numr + 2 * numbetween * kern_half_width) ffd = corr_rzw_vol(data, numbetween, lor, loz, hiz, - numz, low, hiw, numw, fftlen, LOWACC) - return np.array(ffd[:,:,0:numr], copy=1) + numz, low, hiw, numw, fftlen, LOWACC) + return np.array(ffd[:, :, 0:numr], copy=1) + def estimate_rz(psr, T, show=0, device='/XWIN'): """ @@ -341,21 +361,24 @@ def estimate_rz(psr, T, show=0, device='/XWIN'): dt = T / (numorbpts - 1) E = dorbint(startE, numorbpts, dt, psr.orb) z = z_from_e(E, psr, T) - r = T/p_from_e(E, psr) - T/psr.p + r = T / p_from_e(E, psr) - T / psr.p if show: times = np.arange(numorbpts) * dt - Pgplot.plotxy(r, times, labx = 'Time', \ - laby = 'Fourier Frequency (r)', device=device) - if device=='/XWIN': + Pgplot.plotxy(r, times, labx='Time', \ + laby='Fourier Frequency (r)', device=device) + if device == '/XWIN': print('Press enter to continue:') - try: i = raw_input() - except NameError: i = input() + try: + i = raw_input() + except NameError: + i = input() Pgplot.nextplotpage() - Pgplot.plotxy(z, times, labx = 'Time', - laby = 'Fourier Frequency Derivative (z)', device=device) + Pgplot.plotxy(z, times, labx='Time', + laby='Fourier Frequency Derivative (z)', device=device) Pgplot.closeplot() return r.mean(), z.mean() - + + def alias(r, rny): """ alias_to_r(r, rny): @@ -368,182 +391,193 @@ def alias(r, rny): """ return 2.0 * rny - r -def show_ffdot_plane(data, r, z, dr = 0.125, dz = 0.5, - numr = 300, numz = 300, T = None, - contours = None, title = None, - image = "astro", device = "/XWIN", norm = 1.0): - """ - show_ffdot_plane(data, r, z): - Show a color plot of the F-Fdot plane centered on the point 'r', 'z'. - """ - ffdp = ffdot_plane(data, r, dr, numr, z, dz, numz) - ffdpow = spectralpower(ffdp.ravel()) - ffdpow.shape = (numz, numr) - startbin = int(r - (numr * dr) / 2) - startz = int(z - (numz * dz) / 2) - x = np.arange(numr, dtype="d") * dr + startbin - y = np.arange(numz, dtype="d") * dz + startz - highpt = np.argmax(ffdpow.ravel()) - hir = highpt % numr - hiz = highpt / numr - print("") - print("Fourier Freqs from ", min(x), "to", max(x), ".") - print("Fourier Fdots from ", min(y), "to", max(y), ".") - print("Maximum normalized power is ", ffdpow[hiz][hir]) - print("The max value is located at: r =", startbin + hir * dr, \ - " z =", startz + hiz * dz) - print("") - if not T: - Pgplot.plot2d(ffdpow, x, y, labx = "Fourier Frequency (bins)", \ - laby = "Fourier Frequency Derivative", \ - title = title, image = image, \ - contours = contours, device = device) - else: - Pgplot.plot2d(ffdpow, x/T, y/(T**2.0), labx = "Frequency (hz)", \ - laby = "Frequency Derivative (Hz/sec)", \ - rangex2 = [x[0], x[-1]], rangey2 = [y[0], y[-1]], \ - labx2 = "Fourier Frequency", \ - laby2 = "Fourier Frequency Derivative", \ - title = title, image = image, \ - contours = contours, device = device) + +def show_ffdot_plane(data, r, z, dr=0.125, dz=0.5, + numr=300, numz=300, T=None, + contours=None, title=None, + image="astro", device="/XWIN", norm=1.0): + """ + show_ffdot_plane(data, r, z): + Show a color plot of the F-Fdot plane centered on the point 'r', 'z'. + """ + ffdp = ffdot_plane(data, r, dr, numr, z, dz, numz) + ffdpow = spectralpower(ffdp.ravel()) + ffdpow.shape = (numz, numr) + startbin = int(r - (numr * dr) / 2) + startz = int(z - (numz * dz) / 2) + x = np.arange(numr, dtype="d") * dr + startbin + y = np.arange(numz, dtype="d") * dz + startz + highpt = np.argmax(ffdpow.ravel()) + hir = highpt % numr + hiz = highpt / numr + print("") + print("Fourier Freqs from ", min(x), "to", max(x), ".") + print("Fourier Fdots from ", min(y), "to", max(y), ".") + print("Maximum normalized power is ", ffdpow[hiz][hir]) + print("The max value is located at: r =", startbin + hir * dr, \ + " z =", startz + hiz * dz) + print("") + if not T: + Pgplot.plot2d(ffdpow, x, y, labx="Fourier Frequency (bins)", \ + laby="Fourier Frequency Derivative", \ + title=title, image=image, \ + contours=contours, device=device) + else: + Pgplot.plot2d(ffdpow, x / T, y / (T ** 2.0), labx="Frequency (hz)", \ + laby="Frequency Derivative (Hz/sec)", \ + rangex2=[x[0], x[-1]], rangey2=[y[0], y[-1]], \ + labx2="Fourier Frequency", \ + laby2="Fourier Frequency Derivative", \ + title=title, image=image, \ + contours=contours, device=device) def v_from_e(e, psr): - """ - v_from_e(e, psr): - Return a vector of velocities (km/s) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - """ - oldw = psr.orb.w - v = np.array(e, copy=1) - E_to_v(v, psr.orb) - psr.orb.w = oldw - return v + """ + v_from_e(e, psr): + Return a vector of velocities (km/s) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + """ + oldw = psr.orb.w + v = np.array(e, copy=1) + E_to_v(v, psr.orb) + psr.orb.w = oldw + return v + def d_from_e(e, psr): - """ - d_from_e(e, psr): - Return a vector of time delays (s) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - """ - oldw = psr.orb.w - d = np.array(e, copy=1) - E_to_phib(d, psr.orb) - psr.orb.w = oldw - return d + """ + d_from_e(e, psr): + Return a vector of time delays (s) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + """ + oldw = psr.orb.w + d = np.array(e, copy=1) + E_to_phib(d, psr.orb) + psr.orb.w = oldw + return d + def p_from_e(e, psr): - """ - p_from_e(e, psr): - Return a vector of pulsar periods (s) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - """ - oldw = psr.orb.w - psr.orb.w = psr.orb.w * DEGTORAD - p = np.array(e, copy=1) - E_to_p(p, psr.p, psr.orb) - psr.orb.w = oldw - return p + """ + p_from_e(e, psr): + Return a vector of pulsar periods (s) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + """ + oldw = psr.orb.w + psr.orb.w = psr.orb.w * DEGTORAD + p = np.array(e, copy=1) + E_to_p(p, psr.p, psr.orb) + psr.orb.w = oldw + return p + def z_from_e(e, psr, T): - """ - z_from_e(e, psr): - Return a vector of Fourier F-dots (bins) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - 'T' is the total length of the observation (s). - """ - oldw = psr.orb.w - psr.orb.w = psr.orb.w * DEGTORAD - z = np.array(e, copy=1) - E_to_z(z, psr.p, T, psr.orb) - psr.orb.w = oldw - return z + """ + z_from_e(e, psr): + Return a vector of Fourier F-dots (bins) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + 'T' is the total length of the observation (s). + """ + oldw = psr.orb.w + psr.orb.w = psr.orb.w * DEGTORAD + z = np.array(e, copy=1) + E_to_z(z, psr.p, T, psr.orb) + psr.orb.w = oldw + return z + def pcorr(data, kernel, numbetween, lo, hi): - """ - pcorr(data, kernel, numbetween, lo, hi): - Perform a correlation with the raw complex vectors 'data' and - 'kernel'. The returned vector should start at frequency - 'lo' (must be an integer), and go up to but not include 'hi' - (also an integer). - """ - kern_half_width = len(kernel)/(2 * numbetween) - result = np.zeros((hi-lo)*numbetween, 'F') - corr_complex(data, len(data), RAW, - kernel, len(kernel), RAW, - result, len(result), lo, - numbetween, kern_half_width, CORR) - return result + """ + pcorr(data, kernel, numbetween, lo, hi): + Perform a correlation with the raw complex vectors 'data' and + 'kernel'. The returned vector should start at frequency + 'lo' (must be an integer), and go up to but not include 'hi' + (also an integer). + """ + kern_half_width = len(kernel) / (2 * numbetween) + result = np.zeros((hi - lo) * numbetween, 'F') + corr_complex(data, len(data), RAW, + kernel, len(kernel), RAW, + result, len(result), lo, + numbetween, kern_half_width, CORR) + return result + def p_to_f(p, pd, pdd): - """ - p_to_f(p, pd, pdd): - Convert period, period derivative and period second - derivative to the equivalent frequency counterparts. - Will also convert from f to p. - """ - f = 1.0 / p - fd = -pd / (p * p) - if (pdd==0.0): - fdd = 0.0 - else: - fdd = 2.0 * pd * pd / (p**3.0) - pdd / (p * p) - return [f, fd, fdd] + """ + p_to_f(p, pd, pdd): + Convert period, period derivative and period second + derivative to the equivalent frequency counterparts. + Will also convert from f to p. + """ + f = 1.0 / p + fd = -pd / (p * p) + if (pdd == 0.0): + fdd = 0.0 + else: + fdd = 2.0 * pd * pd / (p ** 3.0) - pdd / (p * p) + return [f, fd, fdd] + def bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): - """ - bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): - Use least squares to calculate topocentric period - period derivative, and period second derivative - for the corresponding barycentric values. The data - for the observation must be found in the info file. - """ - from numpy.linalg.old import linear_least_squares - if infofilenm[-4:]==".inf": infofilenm = infofilenm[:-4] - obs = read_inffile(infofilenm) - T = obs.N * obs.dt - dt = 10.0 - tto = obs.mjd_i + obs.mjd_f - tts = np.arange(tto, tto + (T + dt) / SECPERDAY, dt / SECPERDAY) - nn = len(tts) - bts = np.zeros(nn, 'd') - vel = np.zeros(nn, 'd') - ra = psr_utils.coord_to_string(obs.ra_h, obs.ra_m, obs.ra_s) - dec = psr_utils.coord_to_string(obs.dec_d, obs.dec_m, obs.dec_s) - if (obs.telescope == 'Parkes'): tel = 'PK' - elif (obs.telescope == 'Effelsberg'): tel = 'EB' - elif (obs.telescope == 'Arecibo'): tel = 'AO' - elif (obs.telescope == 'MMT'): tel = 'MT' - else: - print("Telescope not recognized.") - return 0 - barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) - print("Topocentric start time = %17.11f" % tts[0]) - print("Barycentric start time = %17.11f" % bts[0]) - avgvel = np.add.reduce(vel) / nn - print("Average Earth velocity = %10.5e c" % (avgvel)) - tts = np.arange(nn, dtype='d') * dt - bts = (bts - bts[0]) * SECPERDAY - [fb, fbd, fbdd] = p_to_f(pb, pbd, pbdd) - b = fb * bts + fbd * bts**2.0 / 2.0 + fbdd * bts**3.0 / 6.0 - a = np.transpose(np.asarray([tts, tts**2.0, tts**3.0])) - [ft, ftd, ftdd], residuals, rank, sv = linear_least_squares(a,b) - [pt, ptd, ptdd] = p_to_f(ft, ftd, ftdd) - print(" Topocentric period = %15.12f" % pt) - print(" Topocentric p-dot = %15.9e" % ptd) - print(" Topocentric p-dotdot = %15.9e" % ptdd) - print(" Quick Topo period = %15.12f" % (pb * (1.0 + avgvel))) - print(" Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel))) - print(" Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel))) - return [pt, ptd, ptdd] + """ + bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): + Use least squares to calculate topocentric period + period derivative, and period second derivative + for the corresponding barycentric values. The data + for the observation must be found in the info file. + """ + from numpy.linalg.old import linear_least_squares + if infofilenm[-4:] == ".inf": infofilenm = infofilenm[:-4] + obs = read_inffile(infofilenm) + T = obs.N * obs.dt + dt = 10.0 + tto = obs.mjd_i + obs.mjd_f + tts = np.arange(tto, tto + (T + dt) / SECPERDAY, dt / SECPERDAY) + nn = len(tts) + bts = np.zeros(nn, 'd') + vel = np.zeros(nn, 'd') + ra = psr_utils.coord_to_string(obs.ra_h, obs.ra_m, obs.ra_s) + dec = psr_utils.coord_to_string(obs.dec_d, obs.dec_m, obs.dec_s) + if (obs.telescope == 'Parkes'): + tel = 'PK' + elif (obs.telescope == 'Effelsberg'): + tel = 'EB' + elif (obs.telescope == 'Arecibo'): + tel = 'AO' + elif (obs.telescope == 'MMT'): + tel = 'MT' + else: + print("Telescope not recognized.") + return 0 + barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) + print("Topocentric start time = %17.11f" % tts[0]) + print("Barycentric start time = %17.11f" % bts[0]) + avgvel = np.add.reduce(vel) / nn + print("Average Earth velocity = %10.5e c" % (avgvel)) + tts = np.arange(nn, dtype='d') * dt + bts = (bts - bts[0]) * SECPERDAY + [fb, fbd, fbdd] = p_to_f(pb, pbd, pbdd) + b = fb * bts + fbd * bts ** 2.0 / 2.0 + fbdd * bts ** 3.0 / 6.0 + a = np.transpose(np.asarray([tts, tts ** 2.0, tts ** 3.0])) + [ft, ftd, ftdd], residuals, rank, sv = linear_least_squares(a, b) + [pt, ptd, ptdd] = p_to_f(ft, ftd, ftdd) + print(" Topocentric period = %15.12f" % pt) + print(" Topocentric p-dot = %15.9e" % ptd) + print(" Topocentric p-dotdot = %15.9e" % ptdd) + print(" Quick Topo period = %15.12f" % (pb * (1.0 + avgvel))) + print(" Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel))) + print(" Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel))) + return [pt, ptd, ptdd] def measure_phase(profile, template, sigma, fwhm): @@ -566,9 +600,9 @@ def measure_phase(profile, template, sigma, fwhm): from simple_roots import newton_raphson N = len(profile) if not (N == len(template)): - print("Lengths of 'profile' and 'template' must") - print(" be equal in measure_phase().") - return 0.0 + print("Lengths of 'profile' and 'template' must") + print(" be equal in measure_phase().") + return 0.0 ft = rfft(profile) p0 = ft[0].real # Nyquist freq @@ -589,22 +623,25 @@ def measure_phase(profile, template, sigma, fwhm): # Note: Checked 10 Jul 2000. Looks OK. sig = sigma * np.sqrt(N) k = np.arange(len(ft), dtype='d') + 1.0 + def fn(tau, k=k, p=P_k, s=S_k, theta=Theta_k, phi=Phi_k): - # Since Nyquist freq always has phase = 0.0 - k[-1] = 0.0 - return np.add.reduce(k * p * s * - np.sin(phi - theta + k * tau)) + # Since Nyquist freq always has phase = 0.0 + k[-1] = 0.0 + return np.add.reduce(k * p * s * + np.sin(phi - theta + k * tau)) + def dfn(tau, k=k, p=P_k, s=S_k, theta=Theta_k, phi=Phi_k): - # Since Nyquist freq always has phase = 0.0 - k[-1] = 0.0 - return np.add.reduce(k * k * p * s * - np.cos(phi - theta + k * tau)) + # Since Nyquist freq always has phase = 0.0 + k[-1] = 0.0 + return np.add.reduce(k * k * p * s * + np.cos(phi - theta + k * tau)) + numphases = 200 ddchidt = np.zeros(numphases, 'd') phases = np.arange(numphases, dtype='d') / \ - float(numphases-1) * TWOPI - PI + float(numphases - 1) * TWOPI - PI for i in np.arange(numphases): - ddchidt[i] = dfn(phases[i]) + ddchidt[i] = dfn(phases[i]) maxdphase = phases[np.argmax(ddchidt)] + \ 0.5 * TWOPI / (numphases - 1.0) # Solve for tau @@ -612,29 +649,30 @@ def dfn(tau, k=k, p=P_k, s=S_k, theta=Theta_k, phi=Phi_k): maxdphase + 0.5 * fwhm * TWOPI) # Solve for b c = P_k * S_k * np.cos(Phi_k - Theta_k + k * tau) - d = np.add.reduce(S_k**2.0) + d = np.add.reduce(S_k ** 2.0) b = np.add.reduce(c) / d # tau sigma tau_err = sig * np.sqrt(1.0 / (2.0 * b * - np.add.reduce(k**2.0 * c))) + np.add.reduce(k ** 2.0 * c))) # b sigma (Note: This seems to be an underestimate...) b_err = sig * np.sqrt(1.0 / (2.0 * d)) # Solve for a a = (p0 - b * s0) / float(N) return (tau / TWOPI, tau_err / TWOPI, b, b_err, a) + def get_baryv(ra, dec, mjd, T, obs="PK"): - """ - get_baryv(ra, dec, mjd, T, obs="PK"): - Determine the average barycentric velocity towards 'ra', 'dec' - during an observation from 'obs'. The RA and DEC are in the - standard string format (i.e. 'hh:mm:ss.ssss' and 'dd:mm:ss.ssss'). - 'T' is in sec and 'mjd' is (of course) in MJD. The obs variable - is the standard two character string from TEMPO: PK, GB, AO, GM, JB, ... - """ - tts = np.linspace(mjd, mjd+T/86400.0, 100) - nn = len(tts) - bts = np.zeros(nn, dtype=np.float64) - vel = np.zeros(nn, dtype=np.float64) - barycenter(tts, bts, vel, ra, dec, obs, "DE421") - return vel.mean() + """ + get_baryv(ra, dec, mjd, T, obs="PK"): + Determine the average barycentric velocity towards 'ra', 'dec' + during an observation from 'obs'. The RA and DEC are in the + standard string format (i.e. 'hh:mm:ss.ssss' and 'dd:mm:ss.ssss'). + 'T' is in sec and 'mjd' is (of course) in MJD. The obs variable + is the standard two character string from TEMPO: PK, GB, AO, GM, JB, ... + """ + tts = np.linspace(mjd, mjd + T / 86400.0, 100) + nn = len(tts) + bts = np.zeros(nn, dtype=np.float64) + vel = np.zeros(nn, dtype=np.float64) + barycenter(tts, bts, vel, ra, dec, obs, "DE421") + return vel.mean() diff --git a/python/short_analysis_simple.py b/python/short_analysis_simple.py index 4ad8c1092..c81edbbd4 100644 --- a/python/short_analysis_simple.py +++ b/python/short_analysis_simple.py @@ -1,11 +1,11 @@ #!/usr/bin/python -from os import system, chdir, remove, environ +from os import system, chdir from sys import stdout, argv, exit from glob import glob from optparse import OptionParser -from fcntl import * -from presto import read_inffile, writeinf, get_baryv -import infodata +from presto.presto import read_inffile, writeinf, get_baryv +from presto import infodata + def myexecute(cmd): stdout.write("\n'"+cmd+"'\n") diff --git a/setup.py b/setup.py index 62beaaffe..91e29715e 100644 --- a/setup.py +++ b/setup.py @@ -70,14 +70,16 @@ setup(name="presto", version=version, - #install_requires=['numpy'], + install_requires=['numpy', 'future', 'six', 'scipy', 'matplotlib', 'astropy', 'pyslalib'], scripts=scripts, description="Python interfaces to PGPLOT and PRESTO", author="Scott Ransom (ppgplot from Nick Patavlis)", author_email="sransom@nrao.edu", url="https://github.com/scottransom/presto", - packages=['presto', 'presto.ppgplot', 'presto.presto'], + packages=['presto', 'presto.ppgplot', 'presto.presto', 'presto.singlepulse'], package_dir={'presto.ppgplot': 'python/ppgplot_src', 'presto.presto': 'python/presto_src', - 'presto': 'python/presto'}, - ext_modules=[ext_ppgplot,ext_presto]) #, ext_fftfit]) + 'presto': 'python/presto', + 'presto.singlepulse': 'python/presto/singlepulse', + }, + ext_modules=[ext_ppgplot, ext_presto]) #, ext_fftfit]) From dcdcd39f1d2be77461561490a22957254ff6c3b5 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 15:17:42 +0200 Subject: [PATCH 039/146] more python compatibility and bug fixing --- MANIFEST.in | 1 + bin/DDplan.py | 16 +- bin/detrend_dat.py | 4 + bin/event_peak.py | 1 - bin/waterfaller.py | 173 ++++++++++--------- python/presto/cosine_rand.json | 1 + python/presto/cosine_rand.py | 12 +- python/presto/psrfits.py | 25 +-- python/presto/singlepulse/bary_and_topo.py | 10 +- python/presto/singlepulse/make_spd.py | 15 +- python/presto/singlepulse/plot_spd.py | 61 +++---- python/presto/singlepulse/read_spd.py | 1 + python/presto/singlepulse/rrattrap.py | 19 +- python/presto/singlepulse/rrattrap_config.py | 2 +- python/presto/singlepulse/sp_pgplot.py | 39 ++--- python/presto/singlepulse/spcand.py | 4 + python/presto/singlepulse/spio.py | 2 + python/short_analysis_simple.py | 22 +-- python/wrappers/presto.py | 15 +- setup.py | 1 + tests/test_binary_calcs.py | 4 +- tests/test_max_rzw_harmonics.py | 18 +- tests/test_presto_python.py | 10 +- 23 files changed, 235 insertions(+), 221 deletions(-) create mode 100644 python/presto/cosine_rand.json diff --git a/MANIFEST.in b/MANIFEST.in index 8083cda10..89d86bd28 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,3 +1,4 @@ recursive-include bin * include pyproject.toml recursive-include include *.h +include python/presto/cosine_rand.json \ No newline at end of file diff --git a/bin/DDplan.py b/bin/DDplan.py index ce7fea12e..61aeb0b97 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -303,27 +303,27 @@ def dm_steps(loDM, hiDM, obs, cohdm=0.0, numsub=0, ok_smearing=0.0, device="/XWI # Plot them plotxy(log10(tot_smear), DMs, color='orange', logy=1, rangex=[loDM, hiDM], rangey=[log10(0.3*min(tot_smear)), log10(2.5*max(tot_smear))], - labx="Dispersion Measure (pc/cm\u3\d)", laby="Smearing (ms)", + labx="Dispersion Measure (pc/cm\\u3\\d)", laby="Smearing (ms)", device=device) ppgplot.pgsch(1.1) ppgplot.pgsci(1) if (numsub): - ppgplot.pgmtxt("t", 1.5, 0.6/10.0, 0.5, "\(2156)\dctr\u = %g MHz" % obs.f_ctr) + ppgplot.pgmtxt("t", 1.5, 0.6/10.0, 0.5, "\(2156)\dctr\\u = %g MHz" % obs.f_ctr) if (dtms < 0.1): - ppgplot.pgmtxt("t", 1.5, 2.8/10.0, 0.5, "dt = %g \gms" % (dtms*1000)) + ppgplot.pgmtxt("t", 1.5, 2.8/10.0, 0.5, "dt = %g \\gms" % (dtms*1000)) else: ppgplot.pgmtxt("t", 1.5, 2.8/10.0, 0.5, "dt = %g ms" % dtms) ppgplot.pgmtxt("t", 1.5, 5.0/10.0, 0.5, "BW = %g MHz" % obs.BW) - ppgplot.pgmtxt("t", 1.5, 7.2/10.0, 0.5, "N\dchan\u = %d" % obs.numchan) - ppgplot.pgmtxt("t", 1.5, 9.4/10.0, 0.5, "N\dsub\u = %d" % numsub) + ppgplot.pgmtxt("t", 1.5, 7.2/10.0, 0.5, "N\\dchan\\u = %d" % obs.numchan) + ppgplot.pgmtxt("t", 1.5, 9.4/10.0, 0.5, "N\\dsub\\u = %d" % numsub) else: - ppgplot.pgmtxt("t", 1.5, 1.0/8.0, 0.5, "\(2156)\dctr\u = %g MHz" % obs.f_ctr) + ppgplot.pgmtxt("t", 1.5, 1.0/8.0, 0.5, "\\(2156)\\dctr\\u = %g MHz" % obs.f_ctr) if (dtms < 0.1): - ppgplot.pgmtxt("t", 1.5, 3.0/8.0, 0.5, "dt = %g \gms" % (dtms*1000)) + ppgplot.pgmtxt("t", 1.5, 3.0/8.0, 0.5, "dt = %g \\gms" % (dtms*1000)) else: ppgplot.pgmtxt("t", 1.5, 3.0/8.0, 0.5, "dt = %g ms" % dtms) ppgplot.pgmtxt("t", 1.5, 5.0/8.0, 0.5, "BW = %g MHz" % obs.BW) - ppgplot.pgmtxt("t", 1.5, 7.0/8.0, 0.5, "N\dchan\u = %d" % obs.numchan) + ppgplot.pgmtxt("t", 1.5, 7.0/8.0, 0.5, "N\\dchan\\u = %d" % obs.numchan) ppgplot.pgsch(1.0) dy = -1.4 diff --git a/bin/detrend_dat.py b/bin/detrend_dat.py index 61111aff1..51d7b5a82 100755 --- a/bin/detrend_dat.py +++ b/bin/detrend_dat.py @@ -4,6 +4,10 @@ from astropy.stats import sigma_clip import scipy.signal +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + os.rename(sys.argv[1], sys.argv[1]+".bak") data = np.fromfile(sys.argv[1]+".bak", dtype=np.float32) N = len(data) diff --git a/bin/event_peak.py b/bin/event_peak.py index c77d931d4..a295edd41 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,6 +1,5 @@ #!/usr/bin/env python from __future__ import print_function -import sys import numpy as num import presto.events as evts from presto import kuiper diff --git a/bin/waterfaller.py b/bin/waterfaller.py index e2c1e4c3c..83b40d0b7 100755 --- a/bin/waterfaller.py +++ b/bin/waterfaller.py @@ -49,7 +49,8 @@ def get_mask(rfimask, startsamp, N): blockmask[:,chans_to_mask] = True mask[blocknums==blocknum] = blockmask return mask.T - + + def maskfile(maskfn, data, start_bin, nbinsextra): rfimask = rfifind.rfifind(maskfn) mask = get_mask(rfimask, start_bin, nbinsextra)[::-1] @@ -60,9 +61,10 @@ def maskfile(maskfn, data, start_bin, nbinsextra): #datacopy = copy.deepcopy(data) return data, masked_chans + def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ subdm=None, zerodm=False, downsamp=1, scaleindep=False,\ - width_bins=1, mask=False, maskfn=None, bandpass_corr=False, \ + width_bins=1, mask=False, maskfn=None, bandpass_corr=False, ref_freq=None): """ Create a waterfall plot (i.e. dynamic specrum) from a raw data file. @@ -124,9 +126,9 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ nbins = np.round(duration/rawdatafile.tsamp).astype('int') if dm: - nbinsextra = np.round((duration + dmfac * dm)/rawdatafile.tsamp).astype('int') + nbinsextra = np.round((duration + dmfac * dm)/rawdatafile.tsamp).astype('int') else: - nbinsextra = nbins + nbinsextra = nbins # If at end of observation if (start_bin + nbinsextra) > rawdatafile.nspec-1: @@ -147,7 +149,7 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ masked_chans[bandpass == 0] = True # ignore top and bottom 1% of band - ignore_chans = np.ceil(0.01*rawdatafile.nchan) + ignore_chans = np.ceil(0.01*rawdatafile.nchan) masked_chans[:ignore_chans] = True masked_chans[-ignore_chans:] = True @@ -163,7 +165,7 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ if (zerodm == True): data.data -= data.data.mean(axis=0) - + # Subband data if (nsub is not None) and (subdm is not None): data.subband(nsub, subdm, padval='mean') @@ -177,15 +179,16 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ # scale data data = data.scaled(scaleindep) - + # Smooth if width_bins > 1: data.smooth(width_bins, padval='mean') return data, nbinsextra, nbins, start -def plot_waterfall(data, start, duration, - integrate_ts=False, integrate_spec=False, show_cb=False, + +def plot_waterfall(data, start, duration, + integrate_ts=False, integrate_spec=False, show_cb=False, cmap_str="gist_yarg", sweep_dms=[], sweep_posns=[], ax_im=None, ax_ts=None, ax_spec=None, interactive=True): """ I want a docstring too! @@ -210,10 +213,10 @@ def plot_waterfall(data, start, duration, # Ploting it up nbinlim = np.int(duration/data.dt) - img = ax_im.imshow(data.data[..., :nbinlim], aspect='auto', \ - cmap=matplotlib.cm.cmap_d[cmap_str], \ - interpolation='nearest', origin='upper', \ - extent=(data.starttime, data.starttime+ nbinlim*data.dt, \ + img = ax_im.imshow(data.data[..., :nbinlim], aspect='auto', + cmap=matplotlib.cm.cmap_d[cmap_str], + interpolation='nearest', origin='upper', + extent=(data.starttime, data.starttime+ nbinlim*data.dt, data.freqs.min(), data.freqs.max())) if show_cb: cb = ax_im.get_figure().colorbar(img) @@ -225,7 +228,7 @@ def plot_waterfall(data, start, duration, ddm = sweep_dm-data.dm delays = psr_utils.delay_from_DM(ddm, data.freqs) delays -= delays.min() - + if sweep_posns is None: sweep_posn = 0.0 elif len(sweep_posns) == 1: @@ -248,8 +251,8 @@ def plot_waterfall(data, start, duration, times = (np.arange(data.numspectra)*data.dt + start)[..., :nbinlim] ax_ts.plot(times, Dedisp_ts,"k") ax_ts.set_xlim([times.min(),times.max()]) - plt.setp(ax_ts.get_xticklabels(), visible = False) - plt.setp(ax_ts.get_yticklabels(), visible = False) + plt.setp(ax_ts.get_xticklabels(), visible = False) + plt.setp(ax_ts.get_yticklabels(), visible = False) # Plot Spectrum if integrate_spec: @@ -270,7 +273,7 @@ def plot_waterfall(data, start, duration, if interactive: fig.suptitle("Frequency vs. Time") - fig.canvas.mpl_connect('key_press_event', \ + fig.canvas.mpl_connect('key_press_event', lambda ev: (ev.key in ('q','Q') and plt.close(fig))) plt.show() @@ -291,107 +294,107 @@ def main(): "extension. (Only '.fits' and '.fil' " "are supported.)") - data, bins, nbins, start = waterfall(rawdatafile, options.start, \ - options.duration, dm=options.dm,\ - nbins=options.nbins, nsub=options.nsub,\ - subdm=options.subdm, zerodm=options.zerodm, \ - downsamp=options.downsamp, \ - scaleindep=options.scaleindep, \ - width_bins=options.width_bins, mask=options.mask, \ - maskfn=options.maskfile, \ + data, bins, nbins, start = waterfall(rawdatafile, options.start, + options.duration, dm=options.dm, + nbins=options.nbins, nsub=options.nsub, + subdm=options.subdm, zerodm=options.zerodm, + downsamp=options.downsamp, + scaleindep=options.scaleindep, + width_bins=options.width_bins, mask=options.mask, + maskfn=options.maskfile, bandpass_corr=options.bandpass_corr) - plot_waterfall(data, start, options.duration, integrate_ts=options.integrate_ts, \ + plot_waterfall(data, start, options.duration, integrate_ts=options.integrate_ts, integrate_spec=options.integrate_spec, show_cb=options.show_cb, cmap_str=options.cmap, sweep_dms=options.sweep_dms, sweep_posns=options.sweep_posns) if __name__=='__main__': - parser = optparse.OptionParser(prog="waterfaller.py", \ - version="v0.9 Patrick Lazarus (Aug. 19, 2011)", \ - usage="%prog [OPTIONS] INFILE", \ - description="Create a waterfall plot to show the " \ - "frequency sweep of a single pulse " \ + parser = optparse.OptionParser(prog="waterfaller.py", + version="v0.9 Patrick Lazarus (Aug. 19, 2011)", + usage="%prog [OPTIONS] INFILE", + description="Create a waterfall plot to show the " + "frequency sweep of a single pulse " "in psrFits data.") - parser.add_option('--subdm', dest='subdm', type='float', \ - help="DM to use when subbanding. (Default: " \ + parser.add_option('--subdm', dest='subdm', type='float', + help="DM to use when subbanding. (Default: " "same as --dm)", default=None) - parser.add_option('--zerodm', dest='zerodm', action='store_true', \ - help="If this flag is set - Turn Zerodm filter - ON (Default: " \ + parser.add_option('--zerodm', dest='zerodm', action='store_true', + help="If this flag is set - Turn Zerodm filter - ON (Default: " "OFF)", default=False) - parser.add_option('-s', '--nsub', dest='nsub', type='int', \ - help="Number of subbands to use. Must be a factor " \ - "of number of channels. (Default: " \ + parser.add_option('-s', '--nsub', dest='nsub', type='int', + help="Number of subbands to use. Must be a factor " + "of number of channels. (Default: " "number of channels)", default=None) - parser.add_option('-d', '--dm', dest='dm', type='float', \ - help="DM to use when dedispersing data for plot. " \ + parser.add_option('-d', '--dm', dest='dm', type='float', + help="DM to use when dedispersing data for plot. " "(Default: 0 pc/cm^3)", default=0.0) - parser.add_option('--show-ts', dest='integrate_ts', action='store_true', \ - help="Plot the time series. " \ + parser.add_option('--show-ts', dest='integrate_ts', action='store_true', + help="Plot the time series. " "(Default: Do not show the time series)", default=False) - parser.add_option('--show-spec', dest='integrate_spec', action='store_true', \ - help="Plot the spectrum. " \ + parser.add_option('--show-spec', dest='integrate_spec', action='store_true', + help="Plot the spectrum. " "(Default: Do not show the spectrum)", default=False) - parser.add_option('--bandpass', dest='bandpass_corr', action='store_true', \ - help="Correct for the bandpass. Requires an rfifind " \ - "mask provided by --mask option." \ + parser.add_option('--bandpass', dest='bandpass_corr', action='store_true', + help="Correct for the bandpass. Requires an rfifind " + "mask provided by --mask option." "(Default: Do not remove bandpass)", default=False) - parser.add_option('-T', '--start-time', dest='start', type='float', \ - help="Time into observation (in seconds) at which " \ + parser.add_option('-T', '--start-time', dest='start', type='float', + help="Time into observation (in seconds) at which " "to start plot.") - parser.add_option('-t', '--duration', dest='duration', type='float', \ + parser.add_option('-t', '--duration', dest='duration', type='float', help="Duration (in seconds) of plot.") - parser.add_option('-n', '--nbins', dest='nbins', type='int', \ - help="Number of time bins to plot. This option takes " \ - "precedence over -t/--duration if both are " \ + parser.add_option('-n', '--nbins', dest='nbins', type='int', + help="Number of time bins to plot. This option takes " + "precedence over -t/--duration if both are " "provided.") - parser.add_option('--width-bins', dest='width_bins', type='int', \ - help="Smooth each channel/subband with a boxcar " \ - "this many bins wide. (Default: Don't smooth)", \ + parser.add_option('--width-bins', dest='width_bins', type='int', + help="Smooth each channel/subband with a boxcar " + "this many bins wide. (Default: Don't smooth)", default=1) - parser.add_option('--sweep-dm', dest='sweep_dms', type='float', \ - action='append', \ - help="Show the frequency sweep using this DM. " \ + parser.add_option('--sweep-dm', dest='sweep_dms', type='float', + action='append', + help="Show the frequency sweep using this DM. " "(Default: Don't show sweep)", default=[]) - parser.add_option('--sweep-posn', dest='sweep_posns', type='float', \ - action='append', \ - help="Show the frequency sweep at this position. " \ - "The position refers to the high-frequency " \ - "edge of the plot. Also, the position should " \ - "be a number between 0 and 1, where 0 is the " \ + parser.add_option('--sweep-posn', dest='sweep_posns', type='float', + action='append', + help="Show the frequency sweep at this position. " + "The position refers to the high-frequency " + "edge of the plot. Also, the position should " + "be a number between 0 and 1, where 0 is the " "left edge of the plot. " "(Default: 0)", default=None) - parser.add_option('--downsamp', dest='downsamp', type='int', \ - help="Factor to downsample data by. (Default: 1).", \ + parser.add_option('--downsamp', dest='downsamp', type='int', + help="Factor to downsample data by. (Default: 1).", default=1) - parser.add_option('--maskfile', dest='maskfile', type='string', \ - help="Mask file produced by rfifind. Used for " \ - "masking and bandpass correction.", \ + parser.add_option('--maskfile', dest='maskfile', type='string', + help="Mask file produced by rfifind. Used for " + "masking and bandpass correction.", default=None) - parser.add_option('--mask', dest='mask', action="store_true", \ - help="Mask data using rfifind mask (Default: Don't mask).", \ + parser.add_option('--mask', dest='mask', action="store_true", + help="Mask data using rfifind mask (Default: Don't mask).", default=False) - parser.add_option('--scaleindep', dest='scaleindep', action='store_true', \ - help="If this flag is set scale each channel " \ - "independently. (Default: Scale using " \ - "global maximum.)", \ + parser.add_option('--scaleindep', dest='scaleindep', action='store_true', + help="If this flag is set scale each channel " + "independently. (Default: Scale using " + "global maximum.)", default=False) - parser.add_option('--show-colour-bar', dest='show_cb', action='store_true', \ - help="If this flag is set show a colour bar. " \ - "(Default: No colour bar.)", \ + parser.add_option('--show-colour-bar', dest='show_cb', action='store_true', + help="If this flag is set show a colour bar. " + "(Default: No colour bar.)", default=False) - parser.add_option('--colour-map', dest='cmap', \ - help="The name of a valid matplotlib colour map." \ - "(Default: gist_yarg.)", \ + parser.add_option('--colour-map', dest='cmap', + help="The name of a valid matplotlib colour map." + "(Default: gist_yarg.)", default='gist_yarg') options, args = parser.parse_args() if not hasattr(options, 'start'): - raise ValueError("Start time (-T/--start-time) " \ + raise ValueError("Start time (-T/--start-time) " "must be given on command line!") if (not hasattr(options, 'duration')) and (not hasattr(options, 'nbins')): - raise ValueError("One of duration (-t/--duration) " \ - "and num bins (-n/--nbins)" \ + raise ValueError("One of duration (-t/--duration) " + "and num bins (-n/--nbins)" "must be given on command line!") if options.subdm is None: options.subdm = options.dm diff --git a/python/presto/cosine_rand.json b/python/presto/cosine_rand.json new file mode 100644 index 000000000..da2330ebb 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= os.path.dirname(__file__) + n = 1000 if (0): @@ -26,11 +29,10 @@ def dfunc(x): xs[ii] = newton_raphson(func, dfunc, 0.0, 1.0) xs[0] = 0.0 xs[n] = 1.0 - pickle.dump(xs, open("cosine_rand.pickle", "w"), 1) + json.dump(list(i for i in xs), open('cosine_rand.json', 'w')) else: - pfile = os.path.join(os.environ['PRESTO'], - "lib", "python", "cosine_rand.pickle") - xs = pickle.load(open(pfile)) + pfile = os.path.join(here, 'cosine_rand.json') + xs = json.load(open(pfile)) def cosine_rand(num): diff --git a/python/presto/psrfits.py b/python/presto/psrfits.py index 755a40799..1173141c9 100644 --- a/python/presto/psrfits.py +++ b/python/presto/psrfits.py @@ -15,25 +15,25 @@ import os import os.path import warnings -import sys import argparse import astropy.io.fits as pyfits from astropy import coordinates, units import astropy.time as aptime import numpy as np -import psr_utils -import spectra +from presto import psr_utils +from presto import spectra # Regular expression for parsing DATE-OBS card's format. -date_obs_re = re.compile(r"^(?P[0-9]{4})-(?P[0-9]{2})-" \ - "(?P[0-9]{2})T(?P[0-9]{2}):" \ - "(?P[0-9]{2}):(?P[0-9]{2}" \ +date_obs_re = re.compile(r"^(?P[0-9]{4})-(?P[0-9]{2})-" + "(?P[0-9]{2})T(?P[0-9]{2}):" + "(?P[0-9]{2}):(?P[0-9]{2}" "(?:\.[0-9]+)?)$") # Default global debugging mode debug = True + def unpack_2bit(data): """Unpack 2-bit data that has been read in as bytes. @@ -51,6 +51,7 @@ def unpack_2bit(data): piece3 = np.bitwise_and(data, 0x03) return np.dstack([piece0, piece1, piece2, piece3]).flatten() + def unpack_4bit(data): """Unpack 4-bit data that has been read in as bytes. @@ -69,7 +70,7 @@ def unpack_4bit(data): class PsrfitsFile(object): def __init__(self, psrfitsfn): if not os.path.isfile(psrfitsfn): - raise ValueError("ERROR: File does not exist!\n\t(%s)" % \ + raise ValueError("ERROR: File does not exist!\n\t(%s)" % psrfitsfn) self.filename = psrfitsfn self.fits = pyfits.open(psrfitsfn, mode='readonly', memmap=True) @@ -86,7 +87,7 @@ def __init__(self, psrfitsfn): self.tsamp = self.specinfo.dt self.nspec = self.specinfo.N - def read_subint(self, isub, apply_weights=True, apply_scales=True, \ + def read_subint(self, isub, apply_weights=True, apply_scales=True, apply_offsets=True): """ Read a PSRFITS subint from a open pyfits file object. @@ -196,11 +197,11 @@ def get_spectra(self, startsamp, N): data = np.concatenate(data) else: data = np.array(data).squeeze() - data = np.transpose(data) + data = np.transpose(data) # Truncate data to desired interval - if trunc > 0: + if trunc > 0: data = data[:, skip:-trunc] - elif trunc == 0: + elif trunc == 0: data = data[:, skip:] else: raise ValueError("Number of bins to truncate is negative: %d" % trunc) @@ -212,7 +213,7 @@ def get_spectra(self, startsamp, N): else: freqs = self.freqs - return spectra.Spectra(freqs, self.tsamp, data, \ + return spectra.Spectra(freqs, self.tsamp, data, starttime=self.tsamp*startsamp, dm=0) diff --git a/python/presto/singlepulse/bary_and_topo.py b/python/presto/singlepulse/bary_and_topo.py index dcf507788..972e4f86d 100755 --- a/python/presto/singlepulse/bary_and_topo.py +++ b/python/presto/singlepulse/bary_and_topo.py @@ -7,12 +7,11 @@ times. """ from __future__ import print_function -from presto.prestoswig import * +from presto.presto.prestoswig import * import numpy as Num -import Pgplot -import psr_utils -import glob -import psrfits +from presto import psr_utils +from presto import psrfits + def read_inffile(filename): """ @@ -26,6 +25,7 @@ def read_inffile(filename): readinf(id, filename) return id + def bary_to_topo(infofilenm, rawdatafile=False, ephem="DE200"): """ bary_to_topo(infofilenm, ephem="DE200"): diff --git a/python/presto/singlepulse/make_spd.py b/python/presto/singlepulse/make_spd.py index 5895ed45f..d2ec50024 100755 --- a/python/presto/singlepulse/make_spd.py +++ b/python/presto/singlepulse/make_spd.py @@ -15,20 +15,15 @@ from builtins import map from builtins import range -import sys -import copy from time import strftime -from subprocess import Popen, PIPE - import numpy as np import optparse -import waterfaller -import psr_utils +from presto import waterfaller +from presto import psr_utils from . import plot_spd -import singlepulse.spcand as spcand -import singlepulse.spio as spio -import psrfits -import spectra +from presto.singlepulse import spcand as spcand +from presto.singlepulse import spio as spio +from presto import psrfits #import filterbank need to implement in PRESTO DEBUG = True diff --git a/python/presto/singlepulse/plot_spd.py b/python/presto/singlepulse/plot_spd.py index 0e5a8f748..828bdfc3e 100755 --- a/python/presto/singlepulse/plot_spd.py +++ b/python/presto/singlepulse/plot_spd.py @@ -14,12 +14,13 @@ import optparse import tarfile from subprocess import Popen, PIPE -import singlepulse.sp_pgplot as sp_pgplot -import singlepulse.read_spd as read_spd -import singlepulse.spio as spio +import presto.singlepulse.sp_pgplot as sp_pgplot +import presto.singlepulse.read_spd as read_spd +import presto.singlepulse.spio as spio -def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ - integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): + +def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", + just_waterfall=True, integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): """ Generates spd plots which include the following subplots: De-dispersed Zero-DM filtered Waterfall plot @@ -49,7 +50,8 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal tar: Supply the tarball of the singlepulse files instead of individual files. """ if not spdfile.endswith(".spd"): - raise ValueError("The first file must be a .spd file") + raise ValueError("The first file must be a .spd file") + #npzfile = np.load(spdfile) spdobj = read_spd.spd(spdfile) ##### Read in the header information and other required variables for the plots. ###### @@ -257,15 +259,15 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: %.2f" %sigma) else: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: N/A") sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \\gms" %(tsamp*1e6)) sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) @@ -284,7 +286,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\d)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) else: @@ -299,7 +301,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\\d)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") # DM vs Time @@ -326,7 +328,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") else: #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) sp_pgplot.ppgplot.pgpap(8.0, 1.5) @@ -475,11 +477,11 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: %.2f" %sigma) else: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: N/A") sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) @@ -489,18 +491,18 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgclos() def main(): - parser = optparse.OptionParser(prog="plot_spd.py", \ + parser = optparse.OptionParser(prog="plot_spd.py", usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") parser.add_option("-x", "--xwin", action="store_true", dest="xwin", default=False, help="Don't make a postscript plot, just use an X-window") - parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", \ - help= "give a base name to the saved plot. DM, time and" \ + parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", + help= "give a base name to the saved plot. DM, time and" "rank values will be added automatically" ) - parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" \ - "is the window around the pulse considered for the spectrum. (Default: 1.5)", \ + parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" + "is the window around the pulse considered for the spectrum. (Default: 1.5)", default=1.5) - parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." \ - "(Default: 0.5 half way in.)", \ + parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." + "(Default: 0.5 half way in.)", default=0.5) parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", default=False, help="Just produce the waterfall plots.") @@ -517,14 +519,15 @@ def main(): if not args[0].endswith(".spd"): raise ValueError("the first file must be a .spd file") if len(args) == 2: - tar = tarfile.open(args[1], "r:gz")# read in the tarball - filenames = tar.getnames()# get the filenames - plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar)# make the sp plots + tar = tarfile.open(args[1], "r:gz") # read in the tarball + filenames = tar.getnames() # get the filenames + plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar) # make the sp plots tar.close() else: - plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None)# make the sp plots + plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None) # make the sp plots + if __name__ == '__main__': main() diff --git a/python/presto/singlepulse/read_spd.py b/python/presto/singlepulse/read_spd.py index 287c8445a..4fb96f1e0 100755 --- a/python/presto/singlepulse/read_spd.py +++ b/python/presto/singlepulse/read_spd.py @@ -3,6 +3,7 @@ from scipy.special import erf as _erf import sys + class spd(object): """ A class for reading in single pulse files. diff --git a/python/presto/singlepulse/rrattrap.py b/python/presto/singlepulse/rrattrap.py index 0c8fb4d7b..4c72db3c7 100755 --- a/python/presto/singlepulse/rrattrap.py +++ b/python/presto/singlepulse/rrattrap.py @@ -16,25 +16,18 @@ """ from __future__ import print_function from past.builtins import cmp -from builtins import str -from builtins import range -from builtins import object -import fileinput -import numpy as np -from time import strftime -import glob -import os.path -import infodata +from time import strftime +from presto import infodata import matplotlib.pyplot as plt -from Pgplot import * +from presto.Pgplot import * import optparse -import sys -import singlepulse.spio as spio +import presto.singlepulse.spio as spio FRACTIONAL_SIGMA = 0.9 # change to 0.8? ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] DEBUG = True # if True, will be verbose + def dmthreshold(dm, use_dmplan, min_group=45): if use_dmplan: import singlepulse.rrattrap_config as rrattrap_config @@ -525,7 +518,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) # redundant with pgenv ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") ppgplot.pgsch(1.0) ppgplot.pgmtxt('T', 2.5, 0.3, 0.0, "Single Pulse Results for %s" % obsinfo['src']) diff --git a/python/presto/singlepulse/rrattrap_config.py b/python/presto/singlepulse/rrattrap_config.py index 957160312..ea5e19531 100644 --- a/python/presto/singlepulse/rrattrap_config.py +++ b/python/presto/singlepulse/rrattrap_config.py @@ -1,5 +1,5 @@ -from builtins import range #! /usr/bin/env python +from builtins import range CLOSE_DM = 2 # pc cm-3 # MIN_GROUP, DM_THRESH, TIME_THRESH will change later on depending on the DDplan. diff --git a/python/presto/singlepulse/sp_pgplot.py b/python/presto/singlepulse/sp_pgplot.py index 78b5e8d27..ac383f7b3 100755 --- a/python/presto/singlepulse/sp_pgplot.py +++ b/python/presto/singlepulse/sp_pgplot.py @@ -1,28 +1,25 @@ +""" + Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' + and the Python 'PPGPLOT' package + + Written by Scott M. Ransom (ransom@cfa.harvard.edu) + last revision: 01 Jul 2000 + + 'PGPLOT' was writtten by Tim Pearson , + and can be found at http://astro.caltech.edu/~tjp/pgplot/ + + 'PPGPLOT' was written by Nick Patavalis , + and can be found at http://ariadne.di.uoa.gr/ppgplot/ + _or_ an updated version is available in the same directory + where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom +""" from __future__ import print_function from builtins import range from builtins import object -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py - -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py +import numpy as Num +from presto import ppgplot -# Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' -# and the Python 'PPGPLOT' package -# -# Written by Scott M. Ransom (ransom@cfa.harvard.edu) -# last revision: 01 Jul 2000 -# -# 'PGPLOT' was writtten by Tim Pearson , -# and can be found at http://astro.caltech.edu/~tjp/pgplot/ -# -# 'PPGPLOT' was written by Nick Patavalis , -# and can be found at http://ariadne.di.uoa.gr/ppgplot/ -# _or_ an updated version is available in the same directory -# where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom -# -import numpy as Num -import types, math, ppgplot -import fileinput # True if we have an /XWIN or /XSERVE device open yet ppgplot_dev_open_ = 0 @@ -189,7 +186,7 @@ def dm_time_plot(dms, times, sigmas, dm_arr, sigma_arr, time_arr, Total_observed ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) ppgplot.pgslw(3) ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") snr_range = 12.0 cand_symbols = [] cand_symbols_group = [] diff --git a/python/presto/singlepulse/spcand.py b/python/presto/singlepulse/spcand.py index cd1f16140..ce215d6c2 100755 --- a/python/presto/singlepulse/spcand.py +++ b/python/presto/singlepulse/spcand.py @@ -2,10 +2,13 @@ from builtins import object import numpy as np from . import bary_and_topo + + def topo_timeshift(bary_start_time, time_shift, topo): ind = np.where(topo == float(int(bary_start_time)/10*10))[0] return time_shift[ind] + def numsub(nchans, snr): if not nchans==960 and np.log2(nchans).is_integer(): #Puppi L-wide and GBNCC if snr < 10: @@ -25,6 +28,7 @@ def numsub(nchans, snr): nsub = nchans return nsub + class params(object): """ A class for input parameters for the spd plots. diff --git a/python/presto/singlepulse/spio.py b/python/presto/singlepulse/spio.py index 91c6ffb77..1c8df6f02 100755 --- a/python/presto/singlepulse/spio.py +++ b/python/presto/singlepulse/spio.py @@ -4,6 +4,7 @@ import fileinput as _fileinput from scipy.special import erf + def get_textfile(txtfile): """ Read in the groups.txt file. Contains information about the DM, time, box car width, signal to noise, sample number and rank of groups. @@ -12,6 +13,7 @@ def get_textfile(txtfile): """ return _np.loadtxt(txtfile,dtype = 'str',delimiter='\n') + def group_info(rank, txtfile): """ Extracts out relevant information from the groups.txt file as strings. diff --git a/python/short_analysis_simple.py b/python/short_analysis_simple.py index c81edbbd4..da271d853 100644 --- a/python/short_analysis_simple.py +++ b/python/short_analysis_simple.py @@ -12,6 +12,7 @@ def myexecute(cmd): stdout.flush() system(cmd) + def main(): usage = "usage: %prog [options]" parser = OptionParser(usage) @@ -36,13 +37,13 @@ def main(): parser.add_option("-s", "--sigma", type="float", dest="sigma", default=2.0, help="Cutoff sigma to consider a candidate") (options, args) = parser.parse_args() - if (options.outdir[-1]!="/"): + if options.outdir[-1]!= "/": options.outdir = options.outdir+"/" - if (options.workdir!='.'): + if options.workdir!= '.': chdir(options.workdir) - if (options.nM >= 1000000): - if (options.nM % 1000000): - print "If you specify --num nM to be > 1000000, it must be divisible by 1000000." + if options.nM >= 1000000: + if options.nM % 1000000: + print("If you specify --num nM to be > 1000000, it must be divisible by 1000000.") exit(1) else: options.nM *= 1000000 @@ -69,23 +70,23 @@ def main(): point = 0 T = options.nM * inf.dt / 86400.0 baryv = get_baryv(idata.RA, idata.DEC, idata.epoch, T, obs='GB') - print "Baryv = ", baryv + print("Baryv = ", baryv) inf.N = options.nM inf.numonoff = 0 nM = options.nM / 1000000 - while (point + options.nM < N): + while point + options.nM < N: pM = point / 1000000 outname = basename[3:]+'_%03dM'%nM+'_%02d'%num stdout.write('\n'+outname+'\n\n') inf.name = outname tstartf = inf.mjd_f + num * T * options.frac - if (tstartf > 1.0): + if tstartf > 1.0: tstartf = tstartf - 1.0 inf.mjd_i = inf.mjd_i + 1 inf.mjd_f = tstartf writeinf(inf) - myexecute('dd if='+basename+'.dat of='+outname+'.dat bs=4000000 skip='+ - `pM`+' count='+`nM`) + myexecute('dd if=' + basename +'.dat of=' + outname +'.dat bs=4000000 skip=' + + repr(pM) + ' count=' + repr(nM)) myexecute('realfft '+outname+'.dat') myexecute('rm -f '+outname+'.dat') myexecute('cp '+birdname+' '+outname+'.birds') @@ -102,6 +103,7 @@ def main(): num = num + 1 point = point + int(options.nM * options.frac) + if __name__ == "__main__": main() diff --git a/python/wrappers/presto.py b/python/wrappers/presto.py index ecd58482d..98067c79d 100644 --- a/python/wrappers/presto.py +++ b/python/wrappers/presto.py @@ -44,10 +44,9 @@ def swig_import_helper(): except NameError: pass # Python < 2.2 doesn't have 'property'. -try: - import builtins as __builtin__ -except ImportError: - import __builtin__ +# works for python2 and python3 if future module is installed +import builtins as __builtin__ + def _swig_setattr_nondynamic(self, class_type, name, value, static=1): if (name == "thisown"): @@ -90,11 +89,13 @@ def _swig_repr(self): try: _object = object - _newclass = 1 except __builtin__.Exception: - class _object(object) : pass + class _object(object) : pass - _newclass = 0 + _newclass = False +else: + _newclass = True + class fcomplex(_object): __swig_setmethods__ = {} diff --git a/setup.py b/setup.py index 91e29715e..8b2c7b2b8 100644 --- a/setup.py +++ b/setup.py @@ -82,4 +82,5 @@ 'presto': 'python/presto', 'presto.singlepulse': 'python/presto/singlepulse', }, + package_data={'presto': ['python/presto/cosine_rand.json']}, ext_modules=[ext_ppgplot, ext_presto]) #, ext_fftfit]) diff --git a/tests/test_binary_calcs.py b/tests/test_binary_calcs.py index 8dafd6d6d..b0eebf173 100644 --- a/tests/test_binary_calcs.py +++ b/tests/test_binary_calcs.py @@ -1,6 +1,6 @@ import numpy as np -import presto -import binary_psr +from presto import presto +from presto import binary_psr import matplotlib.pyplot as plt N = 1000 # number of points in each orbit calc diff --git a/tests/test_max_rzw_harmonics.py b/tests/test_max_rzw_harmonics.py index 2b30270d9..f6e77686a 100644 --- a/tests/test_max_rzw_harmonics.py +++ b/tests/test_max_rzw_harmonics.py @@ -1,5 +1,5 @@ import numpy as np -import presto +from presto import presto from numpy.random import standard_normal as norm from numpy.random import uniform import time @@ -62,13 +62,13 @@ rzwtime += time.clock() - a rzwerrs[n] = (maxpow/numharm - theo_max_pow) / theo_max_pow, rmax - r, zmax - z, wmax - w -print "Time for rz:", rztime / numtrials -print "Time for rzw:", rzwtime / numtrials +print("Time for rz: %s".format(rztime / numtrials)) +print("Time for rzw: %s".format(rzwtime / numtrials)) -print "rzerrs:" -print " avg: %6.3f %6.3f %6.3f" % tuple(rzerrs.mean(axis=0)) -print " std: %6.3f %6.3f %6.3f" % tuple(rzerrs.std(axis=0)) +print("rzerrs:") +print(" avg: %6.3f %6.3f %6.3f" % tuple(rzerrs.mean(axis=0))) +print(" std: %6.3f %6.3f %6.3f" % tuple(rzerrs.std(axis=0))) -print "rzwerrs:" -print " avg: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.mean(axis=0)) -print " std: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.std(axis=0)) +print("rzwerrs:") +print(" avg: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.mean(axis=0))) +print(" std: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.std(axis=0))) diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index a9fd1f0c1..0b50d9e8e 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -1,8 +1,12 @@ from __future__ import print_function import numpy as np -import presto +from presto import presto import os -import matplotlib.pyplot as plt +from os import path + +here = path.dirname(__file__) + + print("Testing FFT stuff...", end=' ') N = 20 @@ -28,7 +32,7 @@ print("success") print("Testing reading infiles...", end=' ') -x = presto.read_inffile("1937_DM71.02_zerodm.inf", verbose=False) +x = presto.read_inffile(path.join(here, "1937_DM71.02_zerodm.inf"), verbose=False) assert(x.telescope=="GBT") assert(x.mjd_i==55267) assert(x.dt==8.192e-05) From 09fa1ab9bfc59931693690730b516842a33c53f7 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 16:28:36 +0200 Subject: [PATCH 040/146] build and install fftfit using setup.py --- python/fftfit_src/{fftfit.pyf => _fftfit.pyf} | 4 ++-- python/fftfit_src/test_fftfit.py | 4 ++-- setup.py | 23 ++++++++++--------- 3 files changed, 16 insertions(+), 15 deletions(-) rename python/fftfit_src/{fftfit.pyf => _fftfit.pyf} (96%) diff --git a/python/fftfit_src/fftfit.pyf b/python/fftfit_src/_fftfit.pyf similarity index 96% rename from python/fftfit_src/fftfit.pyf rename to python/fftfit_src/_fftfit.pyf index cd17b2648..55811014b 100644 --- a/python/fftfit_src/fftfit.pyf +++ b/python/fftfit_src/_fftfit.pyf @@ -1,5 +1,5 @@ !%f90 -*- f90 -*- -python module fftfit ! in +python module _fftfit ! in interface ! in :fftfit subroutine cprof(y,nmax,nh,c,amp,pha) ! in :fftfit:brent.f,cprof.f,fccf.f,ffft.f,fftfit.f real*4 dimension(nmax) :: y @@ -23,7 +23,7 @@ python module fftfit ! in integer intent(out) :: ngood end subroutine fftfit end interface -end python module fftfit +end python module _fftfit ! This file was auto-generated with f2py (version:2.13.175-1250). ! See http://cens.ioc.ee/projects/f2py2e/ diff --git a/python/fftfit_src/test_fftfit.py b/python/fftfit_src/test_fftfit.py index 385004834..be7881081 100644 --- a/python/fftfit_src/test_fftfit.py +++ b/python/fftfit_src/test_fftfit.py @@ -10,8 +10,8 @@ # fftfit(prof,s,phi,nmax,shift,eshift,snr,esnr,b,errb,ngood) import numpy as num -from psr_utils import gaussian_profile, TWOPI -from fftfit import cprof, fftfit +from presto.psr_utils import gaussian_profile, TWOPI +from presto.fftfit import cprof, fftfit template = gaussian_profile(64, 0.5, 0.1) c,amp,pha = cprof(template) diff --git a/setup.py b/setup.py index 8b2c7b2b8..aeb7f8540 100644 --- a/setup.py +++ b/setup.py @@ -2,8 +2,10 @@ import os import sys import numpy -from numpy.distutils.core import Extension, setup +# setuptools has to be imported before numpy.distutils.core +import setuptools +from numpy.distutils.core import Extension, setup version = "2.2" @@ -56,16 +58,15 @@ define_macros=define_macros, extra_compile_args=extra_compile_args) -# not working yet -ext_fftfit = Extension('fftfit', sources=['python/fftfit_src/brent.f', - 'python/fftfit_src/bcprof.f', - 'python/fftfit_src/bfccf.f', - 'python/fftfit_src/bffft.f', - 'python/fftfit_src/bfftfit.f', - 'python/fftfit_src/bfftfit.pyf']) +ext_fftfit = Extension('_fftfit', sources=['python/fftfit_src/brent.f', + 'python/fftfit_src/cprof.f', + 'python/fftfit_src/fccf.f', + 'python/fftfit_src/ffft.f', + 'python/fftfit_src/fftfit.f', + 'python/fftfit_src/_fftfit.pyf']) -scripts = ['bin/' + i for i in os.listdir('bin')] +scripts = ['bin/' + i for i in os.listdir('bin') if i.endswith('.py') or i.endswith('.sh')] setup(name="presto", @@ -82,5 +83,5 @@ 'presto': 'python/presto', 'presto.singlepulse': 'python/presto/singlepulse', }, - package_data={'presto': ['python/presto/cosine_rand.json']}, - ext_modules=[ext_ppgplot, ext_presto]) #, ext_fftfit]) + package_data={'presto': ['*.json']}, + ext_modules=[ext_ppgplot, ext_presto, ext_fftfit]) From 9244116a2dc815936091d345814ddd9be82623ea Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 16:29:02 +0200 Subject: [PATCH 041/146] more error fixing --- bin/{a2x => a2x.sh} | 0 bin/event_peak.py | 7 + bin/fb_truncate.py | 56 +- bin/filter_zerolags.py | 6 + bin/fit_circular_orbit.py | 4 + bin/guppidrift2fil.py | 12 +- bin/{pfd2png => pfd2png.sh} | 0 bin/plot_spd.py | 530 +------- bin/psrfits2fil.py | 46 +- bin/pulsestack.py | 1797 +++++++++++++------------ bin/rfifind_stats.py | 6 + bin/rrattrap.py | 2 +- bin/weights_to_ignorechan.py | 5 + python/Makefile | 15 - python/presto/cosine_rand.pickle | Bin 8146 -> 0 bytes python/presto/fftfit.py | 1 + python/presto/singlepulse/__init__.py | 18 +- python/presto/singlepulse/make_spd.py | 505 +++---- python/presto/singlepulse/plot_spd.py | 337 ++--- python/presto/singlepulse/rrattrap.py | 2 +- 20 files changed, 1431 insertions(+), 1918 deletions(-) rename bin/{a2x => a2x.sh} (100%) rename bin/{pfd2png => pfd2png.sh} (100%) delete mode 100644 python/Makefile delete mode 100644 python/presto/cosine_rand.pickle create mode 100644 python/presto/fftfit.py diff --git a/bin/a2x b/bin/a2x.sh similarity index 100% rename from bin/a2x rename to bin/a2x.sh diff --git a/bin/event_peak.py b/bin/event_peak.py index a295edd41..18e97e63c 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,14 +1,21 @@ #!/usr/bin/env python from __future__ import print_function import numpy as num +import sys import presto.events as evts from presto import kuiper from presto.Pgplot import * +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + + def calc_phases(events, f, fd): return num.fmod(events*(f+(0.5*fd*events)), 1.0) + events = num.loadtxt(sys.argv[1]) events.sort() print("Read %d events from '%s'." % (events.size, sys.argv[1])) diff --git a/bin/fb_truncate.py b/bin/fb_truncate.py index b91fb28c4..019761f59 100755 --- a/bin/fb_truncate.py +++ b/bin/fb_truncate.py @@ -9,13 +9,15 @@ import sys import copy -import optparse +from argparse import ArgumentParser import numpy as np from presto import filterbank BLOCKSIZE = 1e5 # Number of spectra to manipulate at once -def main(): + + +def main(args): infn = args[0] print("Reading filterbank file (%s)" % infn) fil = filterbank.FilterbankFile(infn) @@ -106,36 +108,34 @@ def main(): if __name__ == '__main__': - parser = optparse.OptionParser(prog='fb_truncate.py', \ - version="v0.1 Patrick Lazarus (Aug. 28, 2012)") - parser.add_option("-L", "--lo-freq", dest="lo_freq", type='float', \ - help="Desired low frequency for output file. Note: " \ - "actual low frequency will be rounded to the nearest" \ - "channel (Default: Don't truncate low-freq channels)", \ + parser = ArgumentParser(description="v0.1 Patrick Lazarus (Aug. 28, 2012)") + parser.add_argument("-L", "--lo-freq", dest="lo_freq", type=float, + help="Desired low frequency for output file. Note: " + "actual low frequency will be rounded to the nearest" + "channel (Default: Don't truncate low-freq channels)", default=None) - parser.add_option("-H", "--hi-freq", dest="hi_freq", type='float', \ - help="Desired high frequency for output file. Note: " \ - "actual high frequency will be rounded to the nearest" \ - "channel (Default: Don't truncate high-freq channels)", \ + parser.add_argument("-H", "--hi-freq", dest="hi_freq", type=float, + help="Desired high frequency for output file. Note: " + "actual high frequency will be rounded to the nearest" + "channel (Default: Don't truncate high-freq channels)", default=None) - parser.add_option("-s", "--start-time", dest="start_time", type='float', \ - help="Start of desired range of input file to write " \ - "to output file. Note: The actual start time will " \ - "be rounded to the nearest sample.(Default: Don't " \ + parser.add_argument("-s", "--start-time", dest="start_time", type=float, + help="Start of desired range of input file to write " + "to output file. Note: The actual start time will " + "be rounded to the nearest sample.(Default: Don't " "truncate from start of file.)", default=None) - parser.add_option("-e", "--end-time", dest="end_time", type='float', \ - help="End of desired range of input file to write " \ - "to output file. Note: The actual end time will " \ - "be rounded to the nearest sample. (Default: " \ + parser.add_argument("-e", "--end-time", dest="end_time", type=float, + help="End of desired range of input file to write " + "to output file. Note: The actual end time will " + "be rounded to the nearest sample. (Default: " "Don't truncate from end of file.)", default=None) - parser.add_option("--block-size", dest='block_size', default=BLOCKSIZE, \ - type='float', \ - help="Number of spectra per block. This is the amount " \ - "of data manipulated/written at a time. (Default: " \ + parser.add_argument("--block-size", dest='block_size', default=BLOCKSIZE, + type=float, + help="Number of spectra per block. This is the amount " + "of data manipulated/written at a time. (Default: " " %d spectra)" % BLOCKSIZE) - parser.add_option("-o", "--outname", dest='outname', action='store', \ + parser.add_argument("-o", "--outname", dest='outname', action='store', required=True, help="The name of the output file.") (options, args) = parser.parse_args() - if not hasattr(options, 'outname'): - raise ValueError("An output file name _must_ be provided!") - main() + + main(args) diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index aafd5c018..e2a454c40 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -4,6 +4,12 @@ import numpy as N import sys, scipy.io, scipy.signal + +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + + plot=0 infilenm = sys.argv[1] diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index 78620ed08..9e304f56d 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -12,6 +12,7 @@ period = num.asarray([]) time = num.asarray([]) + def parse_eph(filenm): global period, time suffix = filenm.split(".")[-1] @@ -41,14 +42,17 @@ def parse_eph(filenm): period = num.concatenate((period, newps)) print("%13.7f (%0.1f sec): " % (epoch, T), fs) + def orbeqn(Ppxt, times): # P = Ppsr, p = Porb, x = a*sin(i)/s, t = T_o phi = pu.TWOPI*(times - Ppxt[3])*86400.0/Ppxt[1] return Ppxt[0]*(1.0+pu.TWOPI*Ppxt[2]/Ppxt[1]*num.cos(phi)) + def funct(Ppxt, times, measured): return orbeqn(Ppxt, times) - measured + if __name__ == '__main__': if len(sys.argv)==1: print("\nusage: fit_circular_orbit.py P_psr P_orb X_orb parfiles or bestprofs") diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 2350bd41d..23944a62c 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -268,12 +268,12 @@ def main(fits_fn, outfn, nbits, \ input_nbits=input_nbits) if flip_band: subint = np.fliplr(subint) - subint /= scale_fac - outfil.append_spectra(subint) - pcnt = "%d" % (i*100.0/output_subints) - if pcnt != oldpcnt: - sys.stdout.write("% 4s%% complete\r" % pcnt) - sys.stdout.flush() + subint /= scale_fac + outfil.append_spectra(subint) + pcnt = "%d" % (i*100.0/output_subints) + if pcnt != oldpcnt: + sys.stdout.write("% 4s%% complete\r" % pcnt) + sys.stdout.flush() print("Done ") outfil.close() diff --git a/bin/pfd2png b/bin/pfd2png.sh similarity index 100% rename from bin/pfd2png rename to bin/pfd2png.sh diff --git a/bin/plot_spd.py b/bin/plot_spd.py index 06fc1d83f..c5305a432 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -1,531 +1,5 @@ #! /usr/bin/env python -""" -plot_spd.py - -Generate spd plots either using information from the .spd files that are generated by make_spd.py. -Usage: plot_spd.py [OPTIONS] <.spd file> <.singlepulse files (optional: - if not provided, will leave DM vs Time window blank).> - -Chitrang Patel - June 10, 2016. -""" -from __future__ import print_function -from builtins import map -import numpy as np -import optparse -import tarfile -from subprocess import Popen, PIPE -import presto.singlepulse.sp_pgplot as sp_pgplot -import presto.singlepulse.read_spd as read_spd -import presto.singlepulse.spio as spio - - -def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ - integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): - """ - Generates spd plots which include the following subplots: - De-dispersed Zero-DM filtered Waterfall plot - De-dispersed Waterfall plot - optional subplots: - Dispersed Zero-DM filtered Waterfall plot (Inset of the corresponding dedispersed plot). - Dispersed Waterfall plot ((Inset of the corresponding dedispersed plot).). - Dedispersed zero-DM filtered time series for the corresponding waterfall plot. - Dedispersed time series for the corresponding waterfall plot. - Spectra of the de-dispersed pulse for each of the above waterfalled plots. - SNR vs DM - DM vs. Time - - Inputs: - spdfile: A .spd file. - Optional Inputs: - spec_width: Twice this number times the pulse_width around the pulse to consider for the spectrum - loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. - 0.5 = middle of the plot) - singlepulsefiles: list of .singlepulse files - xwin: plot in an xwin window? - outfile: name of the output file you want. - just_waterfall: Do you only want to display the waterfall plots? - integrate_spec: Do you want to show the pulse spectrum? - integrate_ts: Do you want to show the time series? - disp_pulse: Do you want to show the inset dispersed pulse? - tar: Supply the tarball of the singlepulse files instead of individual files. - """ - if not spdfile.endswith(".spd"): - raise ValueError("The first file must be a .spd file") - #npzfile = np.load(spdfile) - spdobj = read_spd.spd(spdfile) - ##### Read in the header information and other required variables for the plots. ###### - #text_array = npzfile['text_array'] - man_params = spdobj.man_params - fn = spdobj.filename - telescope = spdobj.telescope - RA = spdobj.ra - dec = spdobj.dec - MJD = spdobj.mjd - mjd = Popen(["mjd2cal", "%f"%MJD], stdout=PIPE, stderr=PIPE) - date, err = mjd.communicate() - date = date.split()[2:5] - rank = spdobj.rank - nsub = spdobj.waterfall_nsubs - nbins = spdobj.nsamp - subdm = dm = sweep_dm = spdobj.best_dm - sigma = spdobj.sigma - sample_number = spdobj.pulse_peak_sample - duration = spdobj.waterfall_duration - width_bins = spdobj.pulsewidth_bins - pulse_width = spdobj.pulsewidth_seconds - tsamp = spdobj.tsamp - Total_observed_time = spdobj.total_obs_time - topo_start = spdobj.pulse_peak_time - start = topo_start - loc_pulse*duration - datastart = spdobj.waterfall_start_time - datasamp = spdobj.waterfall_tsamp - datanumspectra = spdobj.waterfall_prededisp_nbins - min_freq = spdobj.min_freq - max_freq = spdobj.max_freq - sweep_duration = spdobj.sweep_duration - sweeped_start = spdobj.sweep_start_time - bary_start = spdobj.bary_pulse_peak_time - downsamp = datasamp/tsamp - if xwin: - pgplot_device = "/XWIN" - else: - pgplot_device = "" - if pgplot_device: - sp_pgplot.ppgplot.pgopen(pgplot_device) - else: - if (outfile == "spdplot"): # default filename - if rank: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) - else: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) - else: - if rank: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) - else: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) - if (just_waterfall == False): - sp_pgplot.ppgplot.pgpap(10.25, 8.5/11.0) - # Dedispersed waterfall plot - zerodm - OFF - array = spdobj.data_nozerodm_dedisp.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.50, 0.80) - sp_pgplot.ppgplot.pgswin(datastart-start, datastart-start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - if not integrate_spec: - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - - #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.80, 0.90) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgsci(1) - - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(Dedisp_ts)]) - erry2 = np.array([np.std(Dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - Off - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.5, 0.8) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.1, 0.40) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - if not integrate_spec: - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") - array = spdobj.data_zerodm_dedisp.astype(np.float64) - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') - #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.40, 0.50) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(dedisp_ts)]) - erry2 = np.array([np.std(dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - On - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.1, 0.4) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - - if disp_pulse: - # Sweeped waterfall plot Zerodm - OFF - array = spdobj.data_nozerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.50, 0.70) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - delays = spdobj.dmsweep_delays - freqs = spdobj.dmsweep_freqs - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgslw(3) - - # Sweeped waterfall plot Zerodm - ON - array = spdobj.data_zerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.1, 0.3) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - - #### Figure texts - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.81, 0.97, 0.64, 0.909) - sp_pgplot.ppgplot.pgsch(0.62) - else: - sp_pgplot.ppgplot.pgsvp(0.745, 0.97, 0.64, 0.909) - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\u-3\d" %dm) - if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: %.2f" %sigma) - else: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) - sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) - sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) - - #DM vs SNR - if not man_params: - dm_arr = np.float32(spdobj.dmVt_this_dms) - sigma_arr = np.float32 (spdobj.dmVt_this_sigmas) - time_arr = np.float32 (spdobj.dmVt_this_times) - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) - sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95*np.min(sigma_arr), 1.05*np.max(sigma_arr)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") - sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) - else: - dm_arr = np.array([]) - sigma_arr = np.array([]) - time_arr = np.array([]) - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") - - # DM vs Time - print("Making arrays for DM vs time plot") - spfiles = singlepulsefiles - threshold = 5.0 - if len(spfiles) > 2: - dm_list = list(map(np.float32, list(dm_arr))) - time_list = list(map(np.float32, list(time_arr))) - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) - dms, times, sigmas, widths, filelist = spio.gen_arrays(dm_arr, spfiles, tar, threshold) - sp_pgplot.dm_time_plot(dms, times, sigmas, dm_list, sigma_arr, time_list, Total_observed_time, xwin) - else: - print("You need a .singlepulse.tgz file to plot DM vs Time plot.") - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") - else: - #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) - sp_pgplot.ppgplot.pgpap(8.0, 1.5) - # Dedispersed waterfall plot - zerodm - OFF - array = spdobj.data_nozerodm_dedisp.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart -start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - - #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.75, 0.83) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgsci(1) - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(Dedisp_ts)]) - erry2 = np.array([np.std(Dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - Off - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.7, 0.9, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON - array = spdobj.data_zerodm_dedisp.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') - - - #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.1, 0.7, 0.36, 0.44) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(dedisp_ts)]) - erry2 = np.array([np.std(dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - On - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.70, 0.90, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - if disp_pulse: - # Sweeped waterfall plot Zerodm - OFF - array = spdobj.data_nozerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.44, 0.65) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - delays = spdobj.dmsweep_delays - freqs = spdobj.dmsweep_freqs - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgslw(3) - - # Sweeped waterfall plot Zerodm - ON - array = spdobj.data_zerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.05, 0.25) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - - #### Figure texts - sp_pgplot.ppgplot.pgsvp(0.05, 0.95, 0.8, 0.9) - sp_pgplot.ppgplot.pgsch(0.65) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\u-3\d" %dm) - if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: %.2f" %sigma) - else: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) - sp_pgplot.ppgplot.pgiden() - sp_pgplot.ppgplot.pgclos() - -def main(): - parser = optparse.OptionParser(prog="plot_spd.py", \ - usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") - parser.add_option("-x", "--xwin", action="store_true", dest="xwin", - default=False, help="Don't make a postscript plot, just use an X-window") - parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", \ - help= "give a base name to the saved plot. DM, time and" \ - "rank values will be added automatically" ) - parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" \ - "is the window around the pulse considered for the spectrum. (Default: 1.5)", \ - default=1.5) - parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." \ - "(Default: 0.5 half way in.)", \ - default=0.5) - parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", - default=False, help="Just produce the waterfall plots.") - parser.add_option("--show-spec", action="store_true", dest="integrate_spec", - default=False, help="Show spectrum.(Default: Show spectrum)") - parser.add_option("--show-ts", action="store_true", dest="integrate_ts", - default=False, help="Show time series.(Default: Don't show time series)") - parser.add_option("--show-sweep", action="store_true", dest="disp_pulse", - default=False, help="Show dispersed pulse.(Default: Don't show dispersed pulse)") - (options, args) = parser.parse_args() - - if len(args) == 0: - raise ValueError("need a .spd file and .singlepulse files in that order.") - if not args[0].endswith(".spd"): - raise ValueError("the first file must be a .spd file") - if len(args) == 2: - tar = tarfile.open(args[1], "r:gz")# read in the tarball - filenames = tar.getnames()# get the filenames - plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar)# make the sp plots - tar.close() - else: - plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None)# make the sp plots +from presto.singlepulse.plot_spd import main if __name__ == '__main__': - main() + main() diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index 482a1ccff..92ec10195 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -30,7 +30,7 @@ def translate_header(psrfits_file): fil_header["data_type"] = 1 # filterbank fn = psrfits_file.filename - fil_header["rawdatafile"] = os.path.basename(fn) + fil_header["rawdatafile"] = os.path.basename(fn) fil_header["source_name"] = fits_hdr['SRC_NAME'] fil_header["barycentric"] = 0 # always not barycentered? fil_header["pulsarcentric"] = 0 # whats pulsarcentric? @@ -54,13 +54,13 @@ def translate_header(psrfits_file): fil_header["nifs"] = subint_hdr['NPOL'] return fil_header - + def main(fits_fn, outfn, nbits, \ apply_weights, apply_scales, apply_offsets): start = time.time() psrfits_file = psrfits.PsrfitsFile(fits_fn) - fil_header = translate_header(psrfits_file) + fil_header = translate_header(psrfits_file) fil_header['nbits'] = nbits outfil = filterbank.create_filterbank_file(outfn, fil_header, \ nbits=nbits) @@ -92,7 +92,7 @@ def main(fits_fn, outfn, nbits, \ print("\tScaling data by",1/scale_fac) print("\tValues larger than",new_max,"(pre-scaling) "\ "will be set to",2.0**nbits - 1,"\n") - + else: scale = False scale_fac = 1 @@ -107,14 +107,13 @@ def main(fits_fn, outfn, nbits, \ sys.stdout.flush() oldpcnt = "" for isub in range(int(psrfits_file.nsubints)): - subint = psrfits_file.read_subint(isub, \ - apply_weights, apply_scales, apply_offsets) + subint = psrfits_file.read_subint(isub, apply_weights, apply_scales, apply_offsets) if flip_band: subint = np.fliplr(subint) - subint /= scale_fac - outfil.append_spectra(subint) - pcnt = "%d" % (isub*100.0/psrfits_file.nsubints) - if pcnt != oldpcnt: + subint /= scale_fac + outfil.append_spectra(subint) + pcnt = "%d" % (isub*100.0/psrfits_file.nsubints) + if pcnt != oldpcnt: sys.stdout.write("% 4s%% complete\r" % pcnt) sys.stdout.flush() @@ -123,29 +122,30 @@ def main(fits_fn, outfn, nbits, \ print("Runtime:",time.time() - start) + if __name__=='__main__': - parser = optparse.OptionParser(prog='psrfits2fil.py', \ - version="v0.2 Paul Scholz, Patrick Lazarus (Sept 2012)", \ + parser = optparse.OptionParser(prog='psrfits2fil.py', + version="v0.2 Paul Scholz, Patrick Lazarus (Sept 2012)", usage = "usage: %prog [options] input_fits") parser.add_option("-n",dest='nbits', action='store', default=8, type='int', - help="The number of bits in the output .fil file. " +\ + help="The number of bits in the output .fil file. " + "Default=8") parser.add_option("-o",dest='outfn',action='store', - default=None, type='string', - help="The filename of the output filterbank file. " +\ + default=None, type='string', + help="The filename of the output filterbank file. " + "Default: same as .fits input but with .fil extn") - parser.add_option("--noweights", dest='apply_weights', \ - default=True, action="store_false", \ + parser.add_option("--noweights", dest='apply_weights', + default=True, action="store_false", help="Do not apply weights when converting data.") - parser.add_option("--noscales", dest='apply_scales', \ - default=True, action="store_false", \ + parser.add_option("--noscales", dest='apply_scales', + default=True, action="store_false", help="Do not apply scales when converting data.") - parser.add_option("--nooffsets", dest='apply_offsets', \ - default=True, action="store_false", \ + parser.add_option("--nooffsets", dest='apply_offsets', + default=True, action="store_false", help="Do not apply offsets when converting data.") (options, args) = parser.parse_args() - + fits_fn = args[0] if options.outfn: @@ -153,5 +153,5 @@ def main(fits_fn, outfn, nbits, \ else: outfn = '.'.join(fits_fn.split('.')[:-1]) + '.fil' - main(fits_fn, outfn, options.nbits, options.apply_weights, \ + main(fits_fn, outfn, options.nbits, options.apply_weights, options.apply_scales, options.apply_offsets) diff --git a/bin/pulsestack.py b/bin/pulsestack.py index 67a4d6af6..f1dbe601a 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -31,7 +31,7 @@ import optparse as opt import presto.infodata as inf import presto.polycos as poly - +from presto import sigproc # importing VariableColormap from kapteyn module of it exists try: @@ -46,87 +46,88 @@ # get the period from the polyco-file with the fileid=pid # using the best record in the polyco-file for the mjd=mjd def get_period (id, mjd): - return 1. / id.get_phs_and_freq(float(str(mjd).split(".")[0]), float("0."+str(mjd).split(".")[1]))[1] + return 1. / id.get_phs_and_freq(float(str(mjd).split(".")[0]), float("0."+str(mjd).split(".")[1]))[1] + # I took this part from the Scott's single_pulse_search.py def detrending (data, is_fast): - # Compute the file length in detrendlens - roundN = np.size(data)/detrendlen * detrendlen - data = data[:roundN] # here we redefining the arrat and loosing some samples - # Split the data into chunks for detrending - numblocks = roundN/detrendlen - data.shape = (numblocks, detrendlen) - stds = np.zeros(numblocks, dtype=np.float64) - # de-trend the data one chunk at a time and compute statistics - for ii, chunk in enumerate(data): - if is_fast: # use median removal instead of detrending (2x speedup) - tmpchunk = chunk.copy() - tmpchunk.sort() - med = tmpchunk[detrendlen/2] - chunk -= med - tmpchunk -= med - else: - # The detrend calls are the most expensive in the program - data[ii] = scipy.signal.detrend(chunk, type='linear') - tmpchunk = data[ii].copy() - tmpchunk.sort() - # The following gets rid of (hopefully) most of the - # outlying values (i.e. power dropouts and single pulses) - # If you throw out 5% (2.5% at bottom and 2.5% at top) - # of random gaussian deviates, the measured stdev is ~0.871 - # of the true stdev. Thus the 1.0/0.871=1.148 correction below. - # The following is roughly .std() since we already removed the median - stds[ii] = np.sqrt((tmpchunk[detrendlen/40:-detrendlen/40]**2.0).sum() / (0.95*detrendlen)) - - stds *= 1.148 - # sort the standard deviations and separate those with - # very low or very high values - sort_stds = stds.copy() - sort_stds.sort() - # identify the differences with the larges values (this - # will split off the chunks with very low and very high stds - locut = (sort_stds[1:numblocks/2+1] - sort_stds[:numblocks/2]).argmax() + 1 - hicut = (sort_stds[numblocks/2+1:] - sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 - std_stds = scipy.std(sort_stds[locut:hicut]) - median_stds = sort_stds[(locut+hicut)/2] - lo_std = median_stds - 4.0 * std_stds - hi_std = median_stds + 4.0 * std_stds - # Determine a list of "bad" chunks. We will not search these. - bad_blocks = np.nonzero((stds < lo_std) | (stds > hi_std))[0] - stds[bad_blocks] = median_stds - - # Now normalize all of the data and reshape it to 1-D - data /= stds[:,np.newaxis] - data.shape = (roundN,) - - return data + # Compute the file length in detrendlens + roundN = np.size(data)/detrendlen * detrendlen + data = data[:roundN] # here we redefining the arrat and loosing some samples + # Split the data into chunks for detrending + numblocks = roundN/detrendlen + data.shape = (numblocks, detrendlen) + stds = np.zeros(numblocks, dtype=np.float64) + # de-trend the data one chunk at a time and compute statistics + for ii, chunk in enumerate(data): + if is_fast: # use median removal instead of detrending (2x speedup) + tmpchunk = chunk.copy() + tmpchunk.sort() + med = tmpchunk[detrendlen/2] + chunk -= med + tmpchunk -= med + else: + # The detrend calls are the most expensive in the program + data[ii] = scipy.signal.detrend(chunk, type='linear') + tmpchunk = data[ii].copy() + tmpchunk.sort() + # The following gets rid of (hopefully) most of the + # outlying values (i.e. power dropouts and single pulses) + # If you throw out 5% (2.5% at bottom and 2.5% at top) + # of random gaussian deviates, the measured stdev is ~0.871 + # of the true stdev. Thus the 1.0/0.871=1.148 correction below. + # The following is roughly .std() since we already removed the median + stds[ii] = np.sqrt((tmpchunk[detrendlen/40:-detrendlen/40]**2.0).sum() / (0.95*detrendlen)) + + stds *= 1.148 + # sort the standard deviations and separate those with + # very low or very high values + sort_stds = stds.copy() + sort_stds.sort() + # identify the differences with the larges values (this + # will split off the chunks with very low and very high stds + locut = (sort_stds[1:numblocks/2+1] - sort_stds[:numblocks/2]).argmax() + 1 + hicut = (sort_stds[numblocks/2+1:] - sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 + std_stds = scipy.std(sort_stds[locut:hicut]) + median_stds = sort_stds[(locut+hicut)/2] + lo_std = median_stds - 4.0 * std_stds + hi_std = median_stds + 4.0 * std_stds + # Determine a list of "bad" chunks. We will not search these. + bad_blocks = np.nonzero((stds < lo_std) | (stds > hi_std))[0] + stds[bad_blocks] = median_stds + + # Now normalize all of the data and reshape it to 1-D + data /= stds[:,np.newaxis] + data.shape = (roundN,) + + return data # gives the short list of options without explanations def list_options(prg): - print("Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg)) - print() - print("Options:") - print(" [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]") - print(" [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]") - print(" [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]") - print(" [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]") - print(" [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]") - print(" [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]") - print(" [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]") - print(" [--tim] [--events] [-l, --list]") - print(" [-2, --double] [-m, --mjd MJD] [--tsamp TIME]") - print(" [--chandra]") - print() - print("Graphics Options:") - print(" [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]") - print(" [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]") - print(" [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]") - print(" [--cmap COLORMAP] [-c, --colorbar] [--title STR]") - print(" [--legend STR] [--loc STR] [-g, --grid]") - print(" [--titlepos STR] [--label STR] [--labelpos STR]") - print(" [--no-top-axis] [--no-right-axis]") - if kapteyn_loaded: - print(" [--cmap-scale SCALE]") + print("Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg)) + print() + print("Options:") + print(" [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]") + print(" [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]") + print(" [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]") + print(" [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]") + print(" [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]") + print(" [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]") + print(" [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]") + print(" [--tim] [--events] [-l, --list]") + print(" [-2, --double] [-m, --mjd MJD] [--tsamp TIME]") + print(" [--chandra]") + print() + print("Graphics Options:") + print(" [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]") + print(" [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]") + print(" [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]") + print(" [--cmap COLORMAP] [-c, --colorbar] [--title STR]") + print(" [--legend STR] [--loc STR] [-g, --grid]") + print(" [--titlepos STR] [--label STR] [--labelpos STR]") + print(" [--no-top-axis] [--no-right-axis]") + if kapteyn_loaded: + print(" [--cmap-scale SCALE]") ################################################################################################################################### @@ -137,101 +138,101 @@ def list_options(prg): # # Parsing the command line options # - usage = "Usage: %prog [options] <.dat OR .tim (use --tim option)>" - cmdline = opt.OptionParser(usage) - cmdline.add_option('-n', '--nbins', dest='nbins', metavar='#BINS', - help="number of phase bins per pulsar period (default: number of samples)", default=-1, type='int') - cmdline.add_option('-p', '--pulsar', dest='psrname', metavar='NAME', - help="pulsar name to be used for polyco instead of inf-file", type='str') - cmdline.add_option('--polyco', dest='polycofile', metavar='FILE', - help="polyco file to be used for folding (default: %default)", default="polyco.dat", type='str') - cmdline.add_option('--period', dest='period', metavar='PERIOD', - help="period in ms for folding. If not given then will use 'polyco.dat'", default=-1, type='float') - cmdline.add_option('-s', '--startphase', dest='phase_start', metavar='PHASE', - help="start phase to plot", default=0.0, type='float') - cmdline.add_option('-e', '--endphase', dest='phase_end', metavar='PHASE', - help="end phase to plot", default=1.0, type='float') - cmdline.add_option('--start', dest='start_time', metavar='TIME', - help="time offset from the start in seconds (default: %default)", default=0, type='float') - cmdline.add_option('-w', '--window', dest='window_time', metavar='TIME', - help="duration of the window in seconds (default: whole file)", default=-1, type='float') - cmdline.add_option('-b', '--block', dest='blocksize', metavar='SAMPLES', - help="size of the block for reading the dat-file when folding profile. When using polyco file " - "period is updated for every block. So, for very close binaries this block size " - "should be probably very small. The smallest is 3000. Default: %default", default=1000000, type='int') - cmdline.add_option('-f', '--fast-detrend', action="store_true", dest="fast_detrend", + usage = "Usage: %prog [options] <.dat OR .tim (use --tim option)>" + cmdline = opt.OptionParser(usage) + cmdline.add_option('-n', '--nbins', dest='nbins', metavar='#BINS', + help="number of phase bins per pulsar period (default: number of samples)", default=-1, type='int') + cmdline.add_option('-p', '--pulsar', dest='psrname', metavar='NAME', + help="pulsar name to be used for polyco instead of inf-file", type='str') + cmdline.add_option('--polyco', dest='polycofile', metavar='FILE', + help="polyco file to be used for folding (default: %default)", default="polyco.dat", type='str') + cmdline.add_option('--period', dest='period', metavar='PERIOD', + help="period in ms for folding. If not given then will use 'polyco.dat'", default=-1, type='float') + cmdline.add_option('-s', '--startphase', dest='phase_start', metavar='PHASE', + help="start phase to plot", default=0.0, type='float') + cmdline.add_option('-e', '--endphase', dest='phase_end', metavar='PHASE', + help="end phase to plot", default=1.0, type='float') + cmdline.add_option('--start', dest='start_time', metavar='TIME', + help="time offset from the start in seconds (default: %default)", default=0, type='float') + cmdline.add_option('-w', '--window', dest='window_time', metavar='TIME', + help="duration of the window in seconds (default: whole file)", default=-1, type='float') + cmdline.add_option('-b', '--block', dest='blocksize', metavar='SAMPLES', + help="size of the block for reading the dat-file when folding profile. When using polyco file " + "period is updated for every block. So, for very close binaries this block size " + "should be probably very small. The smallest is 3000. Default: %default", default=1000000, type='int') + cmdline.add_option('-f', '--fast-detrend', action="store_true", dest="fast_detrend", help="Use a faster method of de-trending the time-series (2x speedup). " "Sometimes (for strong pulsars (?), many strong pulses of which could effect calculation " "of the linear trend) this method produces even better results when only median is subtracted", default=False) - cmdline.add_option('--no-detrend', action="store_true", dest="is_no_detrend", - help="do not detrend the data", default=False) - cmdline.add_option('-a', '--rebin', dest='rebin', metavar='FACTOR', - help="averaging time series by FACTOR (default: %default)", default=1, type='int') - cmdline.add_option('-t', '--timeseries', action="store_true", dest="is_timeseries", - help="no folding. Time series will be plotted", default=False) - cmdline.add_option('-y', '--profileonly', action="store_true", dest="is_profileonly", - help="only plot the average profile. No stack of pulses or subints", default=False) - cmdline.add_option('-2', '--double', action="store_true", dest="is_period_doubled", - help="plot doubled-period profile (only when options -s and -e are not given)", default=False) - cmdline.add_option('-k', '--stacking', action="store_true", dest="is_stacking", - help="Plot series of pulses or subints in stacking mode. Default is grey-scale mode", default=False) - cmdline.add_option('-d', '--dump', dest='dump', metavar='#PULSES | TIME', - help="number of pulses or time (if . given) to dump for subintegrations", default='', type='str') - cmdline.add_option('--offset', dest='offset', metavar='OFFSET', - help="Offset between individual profiles in stacking mode. Default = %default. " - "Offset is in the same units as for profiles' flux density. " - "Only positive (>=0) offsets are allowed", default=1.0, type='float') - cmdline.add_option('--saveprof', dest='proffile', metavar='FILE', - help="save profile to binary file FILE", default='', type='str') - cmdline.add_option('--saveonly', action="store_true", dest="is_saveonly", - help="only saves png-file and exits", default=False) - cmdline.add_option('-i', '--image', dest='imageext', metavar='FILEEXT', - help="image file extension when used with --saveonly (default: %default)", default='png', type='str') - cmdline.add_option('--tim', action="store_true", dest="is_timfile", - help="input file is Sigproc-style tim-file. None inf-file is necessary in this case", default=False) - cmdline.add_option('-l', '--list', action="store_true", dest="is_printlist", - help="print short list of all options", default=False) - cmdline.add_option('--events', action="store_true", dest="is_events", - help="input file is ascii file with event time in secs. Must use --mjd option to provide the start MJD. " - "Number of bins _must_ be also given with --nbins option unless --timeseries is set", default=False) - cmdline.add_option('-m', '--mjd', dest='mjd', metavar='MJD', - help="start MJD of the data. By default, is read from .inf file or tim-file header. " - "If events file is used, it _must_ be given or --chandra is used", default='', type='str') - cmdline.add_option('--chandra', action="store_true", dest="is_chandra", - help="events file is Chandra file, so start MJD is set to 50814.0 (Chandra reference MJD)", default=False) - cmdline.add_option('--tsamp', dest='tsamp', metavar='TIME', - help="sampling time in sec of the data. By default, is read from .inf file or tim-file header", default='', type='str') - group = opt.OptionGroup(cmdline, "Graphics Options") - group.add_option('--fontsize', dest='fs', metavar='SIZE', - help="font size for labels (default: %default)", default=10, type='int') - group.add_option('--color', dest='color', metavar='COLOR', - help="line and marker color (default: %default)", default='green', type='str') - group.add_option('--linestyle', dest='linestyle', metavar='STYLE', - help="set linestyle. Default is '%default' (solid). " - "Other possible values: '--', '-.', ':', 'None', ' ', '' with possible combination " - "with 'steps', 'steps-pre', 'steps-mid', or 'steps-post'. In stacking mode only " - "'-', '--', '-.', ':' are possible, or their aliases: 'solid', 'dashed', 'dashdot', " - "and 'dotted'", default='-', type='str') - group.add_option('--linewidth', dest='linewidth', metavar='WIDTH', - help="set linewidth. Default is '%default'", default='1.0', type='float') - group.add_option('--marker', dest='marker', metavar='TYPE', - help="set line and marker color (default: %default). Use 'None' to not use the marker symbol", default=',', type='str') - group.add_option('--markercolor', dest='markercolor', metavar='COLOR', - help="set only marker color (default: %default)", default='green', type='str') - group.add_option('--markerwidth', dest='markerwidth', metavar='WIDTH', - help="set marker width (default: %default)", default='1.0', type='float') - group.add_option('--markersize', dest='markersize', metavar='SIZE', - help="set marker size (default: %default)", default='6.0', type='float') - group.add_option('--facecolor', dest='facecolor', metavar='COLOR', - help="marker facecolor or fill color in stacking mode (default: %default)", default='white', type='str') - group.add_option('--cmap', dest='colormap', metavar='COLORMAP', - help="set colormap for plotting pulse stack. Default: %default. " - "Other good colormaps: gray, gist_yarg (reversed gray), " - "gist_stern, hot, jet, pink, gist_heat, gist_gray, copper, ...", default='gist_earth', type='str') - if kapteyn_loaded: - group.add_option('--cmap-scale', dest='cmap_scaling', metavar='SCALE', - help="set colormap scaling. Default: %default. " - "Other possible values: SQRT, LOG, EXP, SQUARE", default='LINEAR', type='str') + cmdline.add_option('--no-detrend', action="store_true", dest="is_no_detrend", + help="do not detrend the data", default=False) + cmdline.add_option('-a', '--rebin', dest='rebin', metavar='FACTOR', + help="averaging time series by FACTOR (default: %default)", default=1, type='int') + cmdline.add_option('-t', '--timeseries', action="store_true", dest="is_timeseries", + help="no folding. Time series will be plotted", default=False) + cmdline.add_option('-y', '--profileonly', action="store_true", dest="is_profileonly", + help="only plot the average profile. No stack of pulses or subints", default=False) + cmdline.add_option('-2', '--double', action="store_true", dest="is_period_doubled", + help="plot doubled-period profile (only when options -s and -e are not given)", default=False) + cmdline.add_option('-k', '--stacking', action="store_true", dest="is_stacking", + help="Plot series of pulses or subints in stacking mode. Default is grey-scale mode", default=False) + cmdline.add_option('-d', '--dump', dest='dump', metavar='#PULSES | TIME', + help="number of pulses or time (if . given) to dump for subintegrations", default='', type='str') + cmdline.add_option('--offset', dest='offset', metavar='OFFSET', + help="Offset between individual profiles in stacking mode. Default = %default. " + "Offset is in the same units as for profiles' flux density. " + "Only positive (>=0) offsets are allowed", default=1.0, type='float') + cmdline.add_option('--saveprof', dest='proffile', metavar='FILE', + help="save profile to binary file FILE", default='', type='str') + cmdline.add_option('--saveonly', action="store_true", dest="is_saveonly", + help="only saves png-file and exits", default=False) + cmdline.add_option('-i', '--image', dest='imageext', metavar='FILEEXT', + help="image file extension when used with --saveonly (default: %default)", default='png', type='str') + cmdline.add_option('--tim', action="store_true", dest="is_timfile", + help="input file is Sigproc-style tim-file. None inf-file is necessary in this case", default=False) + cmdline.add_option('-l', '--list', action="store_true", dest="is_printlist", + help="print short list of all options", default=False) + cmdline.add_option('--events', action="store_true", dest="is_events", + help="input file is ascii file with event time in secs. Must use --mjd option to provide the start MJD. " + "Number of bins _must_ be also given with --nbins option unless --timeseries is set", default=False) + cmdline.add_option('-m', '--mjd', dest='mjd', metavar='MJD', + help="start MJD of the data. By default, is read from .inf file or tim-file header. " + "If events file is used, it _must_ be given or --chandra is used", default='', type='str') + cmdline.add_option('--chandra', action="store_true", dest="is_chandra", + help="events file is Chandra file, so start MJD is set to 50814.0 (Chandra reference MJD)", default=False) + cmdline.add_option('--tsamp', dest='tsamp', metavar='TIME', + help="sampling time in sec of the data. By default, is read from .inf file or tim-file header", default='', type='str') + group = opt.OptionGroup(cmdline, "Graphics Options") + group.add_option('--fontsize', dest='fs', metavar='SIZE', + help="font size for labels (default: %default)", default=10, type='int') + group.add_option('--color', dest='color', metavar='COLOR', + help="line and marker color (default: %default)", default='green', type='str') + group.add_option('--linestyle', dest='linestyle', metavar='STYLE', + help="set linestyle. Default is '%default' (solid). " + "Other possible values: '--', '-.', ':', 'None', ' ', '' with possible combination " + "with 'steps', 'steps-pre', 'steps-mid', or 'steps-post'. In stacking mode only " + "'-', '--', '-.', ':' are possible, or their aliases: 'solid', 'dashed', 'dashdot', " + "and 'dotted'", default='-', type='str') + group.add_option('--linewidth', dest='linewidth', metavar='WIDTH', + help="set linewidth. Default is '%default'", default='1.0', type='float') + group.add_option('--marker', dest='marker', metavar='TYPE', + help="set line and marker color (default: %default). Use 'None' to not use the marker symbol", default=',', type='str') + group.add_option('--markercolor', dest='markercolor', metavar='COLOR', + help="set only marker color (default: %default)", default='green', type='str') + group.add_option('--markerwidth', dest='markerwidth', metavar='WIDTH', + help="set marker width (default: %default)", default='1.0', type='float') + group.add_option('--markersize', dest='markersize', metavar='SIZE', + help="set marker size (default: %default)", default='6.0', type='float') + group.add_option('--facecolor', dest='facecolor', metavar='COLOR', + help="marker facecolor or fill color in stacking mode (default: %default)", default='white', type='str') + group.add_option('--cmap', dest='colormap', metavar='COLORMAP', + help="set colormap for plotting pulse stack. Default: %default. " + "Other good colormaps: gray, gist_yarg (reversed gray), " + "gist_stern, hot, jet, pink, gist_heat, gist_gray, copper, ...", default='gist_earth', type='str') + if kapteyn_loaded: + group.add_option('--cmap-scale', dest='cmap_scaling', metavar='SCALE', + help="set colormap scaling. Default: %default. " + "Other possible values: SQRT, LOG, EXP, SQUARE", default='LINEAR', type='str') group.add_option('-c', '--colorbar', action="store_true", dest="is_colorbar", help="plot colorbar when plotting pulse stack", default=False) group.add_option('--title', dest='title', metavar='STR', @@ -260,736 +261,738 @@ def list_options(prg): help="turn off the different labeling on the top axis", default=False) group.add_option('--no-right-axis', action="store_true", dest="is_no_right_axis", help="turn off the different labeling on the right axis", default=False) - cmdline.add_option_group(group) - - # reading cmd options - (opts,args) = cmdline.parse_args() - - # print short list of options - if opts.is_printlist: - list_options(sys.argv[0].split("/")[-1]) - sys.exit(0) - - # check if input file is given - if len(args) != 0: - datfile = args[0] - else: - #cmdline.print_help() - cmdline.print_usage() - sys.exit(0) - - # importing matplotlib - if opts.is_saveonly: - import matplotlib - matplotlib.use("Agg") - pngname = datfile.split(".dat")[0] + "." + opts.imageext - else: - import matplotlib - - import matplotlib.pyplot as plt - import matplotlib.ticker as ticker - import matplotlib.cm as cm - import matplotlib.collections as collections - import matplotlib.patches as patches - import matplotlib.font_manager as fm - - headersize = 0 # size in bytes of the header - # if input file is Sigproc-style tim-file - if opts.is_timfile: - try: - filhdr, headersize = sigproc.read_header(datfile) - startmjd = filhdr['tstart'] - tsamp = filhdr['tsamp'] - source = filhdr['source_name'] - except: - print("Error: Can't open the tim-file '%s'!" % (datfile,)) - sys.exit(1) - - elif opts.is_events: - opts.is_no_detrend = True # we don't do detrending for events - if opts.mjd == '' and not opts.is_chandra: - print("Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!") - sys.exit(1) - if opts.nbins == -1: - print("Error: number of bins _must_ be given with --nbins option!") - sys.exit(1) - if opts.rebin != 1: - print("Event data can not be re-binned") - opts.rebin = 1 - else: - if (opts.mjd == '' and not opts.is_chandra) or opts.tsamp == '' or opts.psrname == '': - # reading inf-file to get corresponding info - inffile = datfile.split(".dat")[0] + ".inf" - try: - id = inf.infodata(inffile) - tsamp = id.dt # sampling time - startmjd = id.epoch # start MJD - source = id.object # pulsar name - except: - print("Error: Can't read the inf-file '%s'!" % (inffile,)) - sys.exit(1) - - # overwriting MJD, tsamp, pulsarname from the command line if given - if opts.is_chandra: - opts.mjd = "50814.0" - print("Chandra event file. Reference start MJD is %s" % (opts.mjd)) - if opts.mjd != '': - startmjd = float(opts.mjd) - if opts.tsamp != '': - tsamp = float(opts.tsamp) - if opts.psrname != '': - source = opts.psrname - - # checking start, end times and adjusting them if necessary - if opts.start_time < 0: - print("Error: start time %.3f is < 0!" % (opts.start_time)) - sys.exit(1) - - if not opts.is_events: - # getting the size of the file - try: - size=(os.stat(datfile)[stat.ST_SIZE] - headersize) / 4 # 4 bytes in float - except: - print("Error: Can't open the input file '%s'!" % (datfile,)) - sys.exit(1) - - # checking start, end times and adjusting them if necessary - start_sample = int(opts.start_time / tsamp) - if start_sample >= size: - print("Start time %.3f is out of range!" % (opts.start_time)) - sys.exit(1) - else: - size = size - start_sample - - # adjusting start MJD - opts.start_time = start_sample * tsamp - - if opts.window_time != -1: - window = int(opts.window_time / tsamp) - opts.window_time = window * tsamp - else: - window = size - opts.window_time = window * tsamp - - if start_sample + window > size: - print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) - window = size - start_sample - opts.window_time = window * tsamp - print("New window is %.3f s" % (opts.window_time)) - - else: # reading the file, and so, we can get the start and end events' time - events = np.loadtxt(datfile, comments='#', usecols=(0,0), dtype=float, unpack=True)[0] - try: - energy = np.loadtxt(datfile, comments='#', usecols=(1,1), dtype=float, unpack=True)[0] - except: - energy = [] - if np.size(energy) == 0 and opts.is_timeseries: - print("No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile)) - sys.exit(1) - duration = events[-1]-events[0] - if opts.start_time >= duration: - print("Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration)) - sys.exit(1) - else: - events.compress(events >= opts.start_time + events[0]) - if opts.is_timeseries: - energy.compress(events >= opts.start_time + events[0]) - if opts.window_time == -1: - opts.window_time = duration - if opts.start_time + opts.window_time > duration: - print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) - opts.window_time = duration - opts.start_time - print("New window is %.3f s" % (opts.window_time)) - - # checking dump settings - if opts.dump != '': - if "." in opts.dump: # dump time is given - dump_time = float(opts.dump) - dump_pulses = 0 - if dump_time > 0: - print("Dump time is %.3f s" % (dump_time)) - else: - print("Dump time %.3f should be > 0!" % (dump_time)) - sys.exit(1) - else: # number of pulses to dump is given - dump_pulses = int(opts.dump) - dump_time = 0 - if dump_pulses > 0: - print("Number of pulses in subintegration is %d" % (dump_pulses)) - else: - print("Number of pulses in subintegration %d should be > 0!" % (dump_pulses)) - sys.exit(1) - else: - dump_pulses = 0 - dump_time = 0 - - # Checking the phases and correct if necessary - if not opts.is_timeseries: - if opts.phase_start < 0 or opts.phase_start >= 1.0: - opts.phase_start = 0.0 - print("Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,)) - - if opts.phase_end <= 0.0 or opts.phase_end > 1.0: - opts.phase_end = 1.0 - print("End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,)) - - if opts.phase_end <= opts.phase_start: - print("End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start)) - sys.exit(1) - - if not opts.is_no_detrend: - # checking the blocksize - if opts.blocksize < 3 * detrendlen: - print("Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen)) - opts.blocksize = 3 * detrendlen - # making blocksize to be divisible by detrendlen (in order not to loose samples between blocks) - if int (opts.blocksize / detrendlen) * detrendlen != opts.blocksize: - opts.blocksize = detrendlen * (1 + int (opts.blocksize / detrendlen)) - print("Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen)) - - - # forming the array of time samples - if not opts.is_events: - try: - infile = open(datfile, "rb") - except: - print("Error: Can't read the dat-file '%s'!" % (datfile,)) - sys.exit(1) - dataptr = ar.array('f') # 'f' - for float - infile.seek(headersize + 4 * start_sample) # position to the first byte to read; '4' - is the size of float - else: - data = events / 86400. # converting events to days - data += startmjd # converting to MJD - events -= events[0] # converting events' time relative to the start of observation - - - # Folding the profile - if not opts.is_timeseries: - if opts.period == -1: # Period is not given in the cmdline, so will use polyco file - pid=poly.polycos(source, opts.polycofile) - try: - if not opts.is_events: - fold_period = get_period (pid, startmjd) - else: - fold_period = get_period (pid, data[0]) - except: - print("Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile)) - print("If different, try --pulsar option to set the name of pulsar the same as in polyco file.") - sys.exit(1) - is_update_period = True - if fold_period <= 0: - print("Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period))) - sys.exit(1) - else: # period is given - fold_period = opts.period / 1000. - is_update_period = False - # if number of bins is not specified (should always be specified for events) - if opts.nbins == -1: - opts.nbins = int(fold_period / tsamp) - # if dump_time is given - checking that it is >= fold_period - if dump_time > 0: - if dump_time < fold_period: - print("Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period)) - dump_time = fold_period - print("Dump time is now %.3f s" % (dump_time)) - if dump_time > opts.window_time: - print("Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time)) - # we make it a one period less than duration, because otherwise plt.imshow - # fails to plot - dump_time = opts.window_time - fold_period - print("Dump time is now %.3f s" % (dump_time)) - else: # we need this for plotting purposes - dump_time = dump_pulses * fold_period - if dump_time > opts.window_time: - print("Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time)) - print("Adjusting to match to the closest maximum possible number.") - dump_pulses = int((opts.window_time - fold_period) / fold_period) - dump_time = dump_pulses * fold_period - print("Number of pulses per subintegration is now %d" % (dump_pulses)) - - bin_start = int (opts.nbins * opts.phase_start) - bin_end = int(math.ceil((opts.nbins - 1) * opts.phase_end)) - bin_range = bin_end - bin_start + 1 - if "%f" % (opts.phase_start) != "%f" % (float(bin_start)/opts.nbins): - opts.phase_start = float(bin_start)/opts.nbins - print("Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start)) - if "%f" % (opts.phase_end) != "%f" % (float(bin_end)/(opts.nbins - 1)): - opts.phase_end = float(bin_end)/(opts.nbins - 1) - print("Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end)) - - # initializing some variables and arrays - elapsed_secs = opts.start_time - elapsed_turns = 0. - ibin = 0 - lbin = -1 - pulsecount = 0 - profile = np.zeros (bin_range, dtype=float) # profile array - counts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the profile - - if not opts.is_profileonly: # initialize the 2D array to keep the stack of pulses - if dump_pulses > 0: - npulses_expect = int(math.ceil(int((opts.window_time) / fold_period) / float(dump_pulses))) - elif dump_time > 0: - npulses_expect = int(math.ceil((opts.window_time) / dump_time)) - else: - npulses_expect = int(math.ceil((opts.window_time) / fold_period)) - # increase that value by 25% (overkill probably) in order to be safe if period is changing significantly - # over the course of observations - npulses_expect += int(0.25 * npulses_expect) - if npulses_expect == 1: - npulses_expect += 1 - pulsestack = np.zeros((npulses_expect, bin_range), dtype=float) - if dump_pulses > 0 or dump_time > 0: - dump = np.zeros (bin_range, dtype=float) # current subintegration - dumpcount = 0 # number of pulses in current subintegration - dump_next = elapsed_secs + dump_time # time of the next dump - dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration - - # in case of events' file we always use dump_time - if opts.is_events: - if dump_time == 0: # always use dump_time - dump_time = fold_period - dumpcount = 0 # number of pulses in current subintegration - dump_next = elapsed_secs + dump_time # time of the next dump - dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration - - - - if not opts.is_events: - # Loop over the chunks of data to read - while 1: - samplesleft = (headersize + (start_sample + window) * 4 - infile.tell()) / 4 - if samplesleft <= 0: # leaving from this infinite while loop - break - if samplesleft > opts.blocksize: - dataptr.fromfile(infile, opts.blocksize) - else: - dataptr.fromfile(infile, samplesleft) - data = np.array(dataptr) - dataptr = ar.array('f') # clear the array. This is important! - readsamples = np.size(data) # how many samples we have read - - # detrending the data - if not opts.is_no_detrend: - # this check is necessary when reading the very last block and if its size is _very_ small - # then we just have to skip it when detrending - if readsamples < 3 * detrendlen: - break - data = detrending (data, opts.fast_detrend) - size = np.size(data) - - # updating the period if necessary - if is_update_period: - fold_period = get_period (pid, startmjd + elapsed_secs / 86400.) - - # main folding loop over the read samples - turns = elapsed_turns - secs = elapsed_secs - for s in range(0, size): - # phase of each sample - phase=turns - math.floor(turns) - if phase >= opts.phase_start and phase <= opts.phase_end: - ibin = int (opts.nbins * phase) - bin_start - if ibin == opts.nbins: ibin -= 1 - if ibin - lbin < 0: pulsecount += 1 - counts[ibin] += 1. - profile[ibin] += data[s] - if not opts.is_profileonly: - # making the subintegration - if dump_pulses > 0 or dump_time > 0: - # if number of pulses to dump is given - if dump_pulses > 0 and ibin - lbin < 0 and pulsecount != 0 and pulsecount%dump_pulses == 0: - pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) - dumpcount += 1 - dumpcounts[:] = 0.0 - dump[:] = 0.0 - # if dump time is given - if dump_time > 0 and dump_pulses <= 0 and dump_next - secs <= tsamp/2.: - pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) - dumpcount += 1 - dumpcounts[:] = 0.0 - dump[:] = 0.0 - dump_next = secs + dump_time - - # after the dumps (if happened) we still need to continue with the current sample - # that belongs already to the next dump - dumpcounts[ibin] += 1. - dump[ibin] += data[s] - else: # no subintegrations - pulsestack[pulsecount][ibin] = data[s] - - turns += (tsamp / fold_period) - secs += tsamp - lbin = ibin - elapsed_secs += readsamples * tsamp - elapsed_turns += (readsamples * tsamp / fold_period) - - else: # if events are given - for tt in range(np.size(data)): - # updating the period if necessary - if is_update_period: - fold_period = get_period (pid, data[tt]) - turns = events[tt] / fold_period - # phase of each sample - phase=turns - math.floor(turns) - if phase >= opts.phase_start and phase <= opts.phase_end: - ibin = int (opts.nbins * phase) - bin_start - if ibin == opts.nbins: ibin -= 1 - counts[ibin] += 1. - if not opts.is_profileonly: - # if dump time is given (always use in case of events file) - if ((tt < np.size(data)-1 and dump_next < events[tt+1]) or tt == np.size(data)-1): - pulsestack[dumpcount] = dumpcounts - dumpcount += 1 - dumpcounts[:] = 0.0 - dump_next += dump_time - # after the dumps (if happened) we still need to continue with the current sample - # that belongs already to the next dump - dumpcounts[ibin] += 1. - - - # normalizing the profile - if not opts.is_events: - profile = np.array([profile[i]/(counts[i] == 0.0 and 1.0 or counts[i]) for i in range(0, bin_range)], dtype=float) - else: - profile = counts - # saving the profile to binary file - if opts.proffile != '': - outp = open(opts.proffile, 'wb') - outbins = ar.array('f') - outbins.fromlist(profile.tolist()) - outbins.tofile(outp) - outp.close() - - - else: - if not opts.is_events: - # if one wants just to plot time series, just read the whole selected block and then plot it - # If the size of window is too large, then probably Python won't be able to read it all at once - dataptr.fromfile(infile, window) - data = np.array(dataptr) - dataptr = ar.array('f') # clear the array. Though, here it's not important or necessary - # detrending the data - if not opts.is_no_detrend: - data = detrending (data, opts.fast_detrend) - window = np.size(data) - opts.window_time = window * tsamp - - - - - - - # - # Plotting - # + cmdline.add_option_group(group) + + # reading cmd options + (opts,args) = cmdline.parse_args() + + # print short list of options + if opts.is_printlist: + list_options(sys.argv[0].split("/")[-1]) + sys.exit(0) + + # check if input file is given + if len(args) != 0: + datfile = args[0] + else: + #cmdline.print_help() + cmdline.print_usage() + sys.exit(0) + + # importing matplotlib + if opts.is_saveonly: + import matplotlib + matplotlib.use("Agg") + pngname = datfile.split(".dat")[0] + "." + opts.imageext + else: + import matplotlib + + import matplotlib.pyplot as plt + import matplotlib.ticker as ticker + import matplotlib.cm as cm + import matplotlib.collections as collections + import matplotlib.font_manager as fm + + headersize = 0 # size in bytes of the header + # if input file is Sigproc-style tim-file + if opts.is_timfile: + try: + filhdr, headersize = sigproc.read_header(datfile) + startmjd = filhdr['tstart'] + tsamp = filhdr['tsamp'] + source = filhdr['source_name'] + except: + print("Error: Can't open the tim-file '%s'!" % (datfile,)) + sys.exit(1) + + elif opts.is_events: + opts.is_no_detrend = True # we don't do detrending for events + if opts.mjd == '' and not opts.is_chandra: + print("Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!") + sys.exit(1) + if opts.nbins == -1: + print("Error: number of bins _must_ be given with --nbins option!") + sys.exit(1) + if opts.rebin != 1: + print("Event data can not be re-binned") + opts.rebin = 1 + else: + if (opts.mjd == '' and not opts.is_chandra) or opts.tsamp == '' or opts.psrname == '': + # reading inf-file to get corresponding info + inffile = datfile.split(".dat")[0] + ".inf" + try: + id = inf.infodata(inffile) + tsamp = id.dt # sampling time + startmjd = id.epoch # start MJD + source = id.object # pulsar name + except: + print("Error: Can't read the inf-file '%s'!" % (inffile,)) + sys.exit(1) + + # overwriting MJD, tsamp, pulsarname from the command line if given + if opts.is_chandra: + opts.mjd = "50814.0" + print("Chandra event file. Reference start MJD is %s" % (opts.mjd)) + if opts.mjd != '': + startmjd = float(opts.mjd) + if opts.tsamp != '': + tsamp = float(opts.tsamp) + if opts.psrname != '': + source = opts.psrname + + # checking start, end times and adjusting them if necessary + if opts.start_time < 0: + print("Error: start time %.3f is < 0!" % (opts.start_time)) + sys.exit(1) + + if not opts.is_events: + # getting the size of the file + try: + size=(os.stat(datfile)[stat.ST_SIZE] - headersize) / 4 # 4 bytes in float + except: + print("Error: Can't open the input file '%s'!" % (datfile,)) + sys.exit(1) + + # checking start, end times and adjusting them if necessary + start_sample = int(opts.start_time / tsamp) + if start_sample >= size: + print("Start time %.3f is out of range!" % (opts.start_time)) + sys.exit(1) + else: + size = size - start_sample + + # adjusting start MJD + opts.start_time = start_sample * tsamp + + if opts.window_time != -1: + window = int(opts.window_time / tsamp) + opts.window_time = window * tsamp + else: + window = size + opts.window_time = window * tsamp + + if start_sample + window > size: + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) + window = size - start_sample + opts.window_time = window * tsamp + print("New window is %.3f s" % (opts.window_time)) + + else: # reading the file, and so, we can get the start and end events' time + events = np.loadtxt(datfile, comments='#', usecols=(0,0), dtype=float, unpack=True)[0] + try: + energy = np.loadtxt(datfile, comments='#', usecols=(1,1), dtype=float, unpack=True)[0] + except: + energy = [] + if np.size(energy) == 0 and opts.is_timeseries: + print("No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile)) + sys.exit(1) + duration = events[-1]-events[0] + if opts.start_time >= duration: + print("Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration)) + sys.exit(1) + else: + events.compress(events >= opts.start_time + events[0]) + if opts.is_timeseries: + energy.compress(events >= opts.start_time + events[0]) + if opts.window_time == -1: + opts.window_time = duration + if opts.start_time + opts.window_time > duration: + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) + opts.window_time = duration - opts.start_time + print("New window is %.3f s" % (opts.window_time)) + + # checking dump settings + if opts.dump != '': + if "." in opts.dump: # dump time is given + dump_time = float(opts.dump) + dump_pulses = 0 + if dump_time > 0: + print("Dump time is %.3f s" % (dump_time)) + else: + print("Dump time %.3f should be > 0!" % (dump_time)) + sys.exit(1) + else: # number of pulses to dump is given + dump_pulses = int(opts.dump) + dump_time = 0 + if dump_pulses > 0: + print("Number of pulses in subintegration is %d" % (dump_pulses)) + else: + print("Number of pulses in subintegration %d should be > 0!" % (dump_pulses)) + sys.exit(1) + else: + dump_pulses = 0 + dump_time = 0 + + # Checking the phases and correct if necessary + if not opts.is_timeseries: + if opts.phase_start < 0 or opts.phase_start >= 1.0: + opts.phase_start = 0.0 + print("Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,)) + + if opts.phase_end <= 0.0 or opts.phase_end > 1.0: + opts.phase_end = 1.0 + print("End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,)) + + if opts.phase_end <= opts.phase_start: + print("End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start)) + sys.exit(1) + + if not opts.is_no_detrend: + # checking the blocksize + if opts.blocksize < 3 * detrendlen: + print("Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen)) + opts.blocksize = 3 * detrendlen + # making blocksize to be divisible by detrendlen (in order not to loose samples between blocks) + if int (opts.blocksize / detrendlen) * detrendlen != opts.blocksize: + opts.blocksize = detrendlen * (1 + int (opts.blocksize / detrendlen)) + print("Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen)) + + + # forming the array of time samples + if not opts.is_events: + try: + infile = open(datfile, "rb") + except: + print("Error: Can't read the dat-file '%s'!" % (datfile,)) + sys.exit(1) + dataptr = ar.array('f') # 'f' - for float + infile.seek(headersize + 4 * start_sample) # position to the first byte to read; '4' - is the size of float + else: + data = events / 86400. # converting events to days + data += startmjd # converting to MJD + events -= events[0] # converting events' time relative to the start of observation + + + # Folding the profile + if not opts.is_timeseries: + if opts.period == -1: # Period is not given in the cmdline, so will use polyco file + pid=poly.polycos(source, opts.polycofile) + try: + if not opts.is_events: + fold_period = get_period (pid, startmjd) + else: + fold_period = get_period (pid, data[0]) + except: + print("Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile)) + print("If different, try --pulsar option to set the name of pulsar the same as in polyco file.") + sys.exit(1) + is_update_period = True + if fold_period <= 0: + print("Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period))) + sys.exit(1) + else: # period is given + fold_period = opts.period / 1000. + is_update_period = False + # if number of bins is not specified (should always be specified for events) + if opts.nbins == -1: + opts.nbins = int(fold_period / tsamp) + # if dump_time is given - checking that it is >= fold_period + if dump_time > 0: + if dump_time < fold_period: + print("Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period)) + dump_time = fold_period + print("Dump time is now %.3f s" % (dump_time)) + if dump_time > opts.window_time: + print("Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time)) + # we make it a one period less than duration, because otherwise plt.imshow + # fails to plot + dump_time = opts.window_time - fold_period + print("Dump time is now %.3f s" % (dump_time)) + else: # we need this for plotting purposes + dump_time = dump_pulses * fold_period + if dump_time > opts.window_time: + print("Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time)) + print("Adjusting to match to the closest maximum possible number.") + dump_pulses = int((opts.window_time - fold_period) / fold_period) + dump_time = dump_pulses * fold_period + print("Number of pulses per subintegration is now %d" % (dump_pulses)) + + bin_start = int (opts.nbins * opts.phase_start) + bin_end = int(math.ceil((opts.nbins - 1) * opts.phase_end)) + bin_range = bin_end - bin_start + 1 + if "%f" % (opts.phase_start) != "%f" % (float(bin_start)/opts.nbins): + opts.phase_start = float(bin_start)/opts.nbins + print("Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start)) + if "%f" % (opts.phase_end) != "%f" % (float(bin_end)/(opts.nbins - 1)): + opts.phase_end = float(bin_end)/(opts.nbins - 1) + print("Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end)) + + # initializing some variables and arrays + elapsed_secs = opts.start_time + elapsed_turns = 0. + ibin = 0 + lbin = -1 + pulsecount = 0 + profile = np.zeros (bin_range, dtype=float) # profile array + counts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the profile + + if not opts.is_profileonly: # initialize the 2D array to keep the stack of pulses + if dump_pulses > 0: + npulses_expect = int(math.ceil(int((opts.window_time) / fold_period) / float(dump_pulses))) + elif dump_time > 0: + npulses_expect = int(math.ceil((opts.window_time) / dump_time)) + else: + npulses_expect = int(math.ceil((opts.window_time) / fold_period)) + # increase that value by 25% (overkill probably) in order to be safe if period is changing significantly + # over the course of observations + npulses_expect += int(0.25 * npulses_expect) + if npulses_expect == 1: + npulses_expect += 1 + pulsestack = np.zeros((npulses_expect, bin_range), dtype=float) + if dump_pulses > 0 or dump_time > 0: + dump = np.zeros (bin_range, dtype=float) # current subintegration + dumpcount = 0 # number of pulses in current subintegration + dump_next = elapsed_secs + dump_time # time of the next dump + dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration + + # in case of events' file we always use dump_time + if opts.is_events: + if dump_time == 0: # always use dump_time + dump_time = fold_period + dumpcount = 0 # number of pulses in current subintegration + dump_next = elapsed_secs + dump_time # time of the next dump + dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration + + + + if not opts.is_events: + # Loop over the chunks of data to read + while 1: + samplesleft = (headersize + (start_sample + window) * 4 - infile.tell()) / 4 + if samplesleft <= 0: # leaving from this infinite while loop + break + if samplesleft > opts.blocksize: + dataptr.fromfile(infile, opts.blocksize) + else: + dataptr.fromfile(infile, samplesleft) + data = np.array(dataptr) + dataptr = ar.array('f') # clear the array. This is important! + readsamples = np.size(data) # how many samples we have read + + # detrending the data + if not opts.is_no_detrend: + # this check is necessary when reading the very last block and if its size is _very_ small + # then we just have to skip it when detrending + if readsamples < 3 * detrendlen: + break + data = detrending (data, opts.fast_detrend) + size = np.size(data) + + # updating the period if necessary + if is_update_period: + fold_period = get_period (pid, startmjd + elapsed_secs / 86400.) + + # main folding loop over the read samples + turns = elapsed_turns + secs = elapsed_secs + for s in range(0, size): + # phase of each sample + phase=turns - math.floor(turns) + if phase >= opts.phase_start and phase <= opts.phase_end: + ibin = int (opts.nbins * phase) - bin_start + if ibin == opts.nbins: ibin -= 1 + if ibin - lbin < 0: pulsecount += 1 + counts[ibin] += 1. + profile[ibin] += data[s] + if not opts.is_profileonly: + # making the subintegration + if dump_pulses > 0 or dump_time > 0: + # if number of pulses to dump is given + if dump_pulses > 0 and ibin - lbin < 0 and pulsecount != 0 and pulsecount%dump_pulses == 0: + pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) + dumpcount += 1 + dumpcounts[:] = 0.0 + dump[:] = 0.0 + # if dump time is given + if dump_time > 0 and dump_pulses <= 0 and dump_next - secs <= tsamp/2.: + pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) + dumpcount += 1 + dumpcounts[:] = 0.0 + dump[:] = 0.0 + dump_next = secs + dump_time + + # after the dumps (if happened) we still need to continue with the current sample + # that belongs already to the next dump + dumpcounts[ibin] += 1. + dump[ibin] += data[s] + else: # no subintegrations + pulsestack[pulsecount][ibin] = data[s] + + turns += (tsamp / fold_period) + secs += tsamp + lbin = ibin + elapsed_secs += readsamples * tsamp + elapsed_turns += (readsamples * tsamp / fold_period) + + else: # if events are given + for tt in range(np.size(data)): + # updating the period if necessary + if is_update_period: + fold_period = get_period (pid, data[tt]) + turns = events[tt] / fold_period + # phase of each sample + phase=turns - math.floor(turns) + if phase >= opts.phase_start and phase <= opts.phase_end: + ibin = int (opts.nbins * phase) - bin_start + if ibin == opts.nbins: ibin -= 1 + counts[ibin] += 1. + if not opts.is_profileonly: + # if dump time is given (always use in case of events file) + if ((tt < np.size(data)-1 and dump_next < events[tt+1]) or tt == np.size(data)-1): + pulsestack[dumpcount] = dumpcounts + dumpcount += 1 + dumpcounts[:] = 0.0 + dump_next += dump_time + # after the dumps (if happened) we still need to continue with the current sample + # that belongs already to the next dump + dumpcounts[ibin] += 1. + + + # normalizing the profile + if not opts.is_events: + profile = np.array([profile[i]/(counts[i] == 0.0 and 1.0 or counts[i]) for i in range(0, bin_range)], dtype=float) + else: + profile = counts + # saving the profile to binary file + if opts.proffile != '': + outp = open(opts.proffile, 'wb') + outbins = ar.array('f') + outbins.fromlist(profile.tolist()) + outbins.tofile(outp) + outp.close() + + + else: + if not opts.is_events: + # if one wants just to plot time series, just read the whole selected block and then plot it + # If the size of window is too large, then probably Python won't be able to read it all at once + dataptr.fromfile(infile, window) + data = np.array(dataptr) + dataptr = ar.array('f') # clear the array. Though, here it's not important or necessary + # detrending the data + if not opts.is_no_detrend: + data = detrending (data, opts.fast_detrend) + window = np.size(data) + opts.window_time = window * tsamp + + # + # Plotting + # fig = plt.figure() - if opts.is_timeseries: # plotting the time series - if opts.rebin == 1: - if not opts.is_events: - flux = data - else: - flux = energy - else: - window = int(window/opts.rebin) - tsamp *= opts.rebin - flux = [np.average(data[k*opts.rebin:(k+1)*opts.rebin]) for k in range(0, window)] - - if not opts.is_events: - time = [opts.start_time + tsamp * t for t in range(0, window)] - else: - time = events - - ax = fig.add_subplot(111) - plt.xlabel("Time (s)", fontsize=opts.fs) - if opts.is_events: - plt.ylabel("Energy", fontsize=opts.fs) - elif opts.is_no_detrend: - plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) - else: - plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) - - ax.plot (time, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - if not opts.is_no_top_axis: - if not opts.is_events: - axtop = plt.twiny() - axtop.xaxis.tick_top() - axtop.xaxis.set_label_position("top") - axtop.set_xlim(xmin=start_sample, xmax=start_sample+window-1) - for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Samples", fontsize=opts.fs) - plt.gca().minorticks_on() - - ax.set_xlim(xmin=time[0], xmax=time[-1]) - ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) - ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - - elif opts.is_profileonly: # plotting only the profile - - flux = profile - phase = [float(n)/opts.nbins for n in range(bin_start, bin_end + 1)] - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - flux = np.append(flux, profile) - phase = np.append(phase, [float(opts.nbins + n)/opts.nbins for n in range(bin_start, bin_end + 1)]) - - ax = fig.add_subplot(111) - plt.xlabel("Pulse phase", fontsize=opts.fs) - if opts.is_events: - plt.ylabel("Counts/bin", fontsize=opts.fs) - elif opts.is_no_detrend: - plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) - else: - plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) - - ax.plot (phase, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - if not opts.is_no_top_axis: - axtop = plt.twiny() - axtop.xaxis.tick_top() - axtop.xaxis.set_label_position("top") - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - axtop.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) - else: - axtop.set_xlim(xmin=bin_start, xmax=bin_end) - for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Phase bin", fontsize=opts.fs) - plt.gca().minorticks_on() - - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - ax.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) - else: - ax.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) - ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) - ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - - elif opts.is_stacking: # plotting the stack of pulses or subints - - ax = fig.add_subplot(111) - if not opts.is_no_top_axis: - plt.xlabel("Phase bin", fontsize=opts.fs) - if not opts.is_no_right_axis: - if opts.is_events: - plt.ylabel("Counts/bin", fontsize=opts.fs) - elif opts.is_no_detrend: - plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) - else: - plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) - - dr = abs(opts.offset) - if dump_pulses > 0 or dump_time > 0: - ncount = dumpcount - else: - ncount = pulsecount - ymin = pulsestack[0:ncount].min() - ymax = pulsestack[0:ncount].max() - dr = abs(opts.offset) - dmins = [] - dmaxs = [] - - t = np.arange(bin_start, bin_end + 1, dtype=float) - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - t = np.append(t, [opts.nbins + n for n in range(bin_start, bin_end + 1)]) - pulseverts = [] - for i in np.arange(ncount-1, -1, -1): - temp = pulsestack[i] + i * dr - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - temp = np.append(temp, temp) - dmins.append(temp.min()) - dmaxs.append(temp.max()) - pulseverts.append(np.vstack((np.hstack((t[:,np.newaxis], temp[:,np.newaxis])), [t[-1], ymin-1], [0, ymin-1]))) - - ymin = np.array(dmins).min() - ymax = np.array(dmaxs).max() - polys = collections.PolyCollection(pulseverts, closed=True) - polys.set_edgecolor("%s" % (opts.color)) - polys.set_facecolor("%s" % (opts.facecolor)) - polys.set_linestyle("%s" % (opts.linestyle)) - polys.set_linewidth("%s" % (opts.linewidth)) - ax.add_collection(polys) - - plt.gca().minorticks_on() - - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - axbot = plt.twiny() - axbot.xaxis.tick_bottom() - axbot.xaxis.set_label_position("bottom") - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) - else: - axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) - for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Pulse phase", fontsize=opts.fs) - plt.gca().minorticks_on() - - ayleft = plt.twinx() - ayleft.yaxis.tick_left() - ayleft.yaxis.set_label_position("left") - if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: - ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) - else: - ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) - for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) - plt.ylabel("Observing time (s)", fontsize=opts.fs) - plt.gca().minorticks_on() - - # Determining the main (top/right) axes - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end-0.1) - else: - ax.set_xlim(xmin=bin_start, xmax=bin_end-0.1) - ax.set_ylim(ymin=ymin, ymax=ymax) - if not opts.is_no_top_axis: - ax.xaxis.tick_top() - ax.xaxis.set_label_position("top") - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and + if opts.is_timeseries: # plotting the time series + if opts.rebin == 1: + if not opts.is_events: + flux = data + else: + flux = energy + else: + window = int(window/opts.rebin) + tsamp *= opts.rebin + flux = [np.average(data[k*opts.rebin:(k+1)*opts.rebin]) for k in range(0, window)] + + if not opts.is_events: + time = [opts.start_time + tsamp * t for t in range(0, window)] + else: + time = events + + ax = fig.add_subplot(111) + plt.xlabel("Time (s)", fontsize=opts.fs) + if opts.is_events: + plt.ylabel("Energy", fontsize=opts.fs) + elif opts.is_no_detrend: + plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) + else: + plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) + + ax.plot (time, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), + markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), + linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, + markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) + # turn on grid + if opts.is_grid: + plt.grid(True) + + if not opts.is_no_top_axis: + if not opts.is_events: + axtop = plt.twiny() + axtop.xaxis.tick_top() + axtop.xaxis.set_label_position("top") + axtop.set_xlim(xmin=start_sample, xmax=start_sample+window-1) + for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Samples", fontsize=opts.fs) + plt.gca().minorticks_on() + + ax.set_xlim(xmin=time[0], xmax=time[-1]) + ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) + ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + + elif opts.is_profileonly: # plotting only the profile + + flux = profile + phase = [float(n)/opts.nbins for n in range(bin_start, bin_end + 1)] + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + flux = np.append(flux, profile) + phase = np.append(phase, [float(opts.nbins + n)/opts.nbins for n in range(bin_start, bin_end + 1)]) + + ax = fig.add_subplot(111) + plt.xlabel("Pulse phase", fontsize=opts.fs) + if opts.is_events: + plt.ylabel("Counts/bin", fontsize=opts.fs) + elif opts.is_no_detrend: + plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) + else: + plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) + + ax.plot (phase, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), + markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), + linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, + markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) + # turn on grid + if opts.is_grid == True: + plt.grid(True) + + if not opts.is_no_top_axis: + axtop = plt.twiny() + axtop.xaxis.tick_top() + axtop.xaxis.set_label_position("top") + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + axtop.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) + else: + axtop.set_xlim(xmin=bin_start, xmax=bin_end) + for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Phase bin", fontsize=opts.fs) + plt.gca().minorticks_on() + + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + ax.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) + else: + ax.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) + ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) + ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + + elif opts.is_stacking: # plotting the stack of pulses or subints + + ax = fig.add_subplot(111) + if not opts.is_no_top_axis: + plt.xlabel("Phase bin", fontsize=opts.fs) + if not opts.is_no_right_axis: + if opts.is_events: + plt.ylabel("Counts/bin", fontsize=opts.fs) + elif opts.is_no_detrend: + plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) + else: + plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) + + dr = abs(opts.offset) + if dump_pulses > 0 or dump_time > 0: + ncount = dumpcount + else: + ncount = pulsecount + ymin = pulsestack[0:ncount].min() + ymax = pulsestack[0:ncount].max() + dr = abs(opts.offset) + dmins = [] + dmaxs = [] + + t = np.arange(bin_start, bin_end + 1, dtype=float) + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + t = np.append(t, [opts.nbins + n for n in range(bin_start, bin_end + 1)]) + pulseverts = [] + for i in np.arange(ncount-1, -1, -1): + temp = pulsestack[i] + i * dr + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + temp = np.append(temp, temp) + dmins.append(temp.min()) + dmaxs.append(temp.max()) + pulseverts.append(np.vstack((np.hstack((t[:,np.newaxis], temp[:,np.newaxis])), [t[-1], ymin-1], [0, ymin-1]))) + + ymin = np.array(dmins).min() + ymax = np.array(dmaxs).max() + polys = collections.PolyCollection(pulseverts, closed=True) + polys.set_edgecolor("%s" % (opts.color)) + polys.set_facecolor("%s" % (opts.facecolor)) + polys.set_linestyle("%s" % (opts.linestyle)) + polys.set_linewidth("%s" % (opts.linewidth)) + ax.add_collection(polys) + + plt.gca().minorticks_on() + + # turn on grid + if opts.is_grid: + plt.grid(True) + + axbot = plt.twiny() + axbot.xaxis.tick_bottom() + axbot.xaxis.set_label_position("bottom") + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) + else: + axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) + for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Pulse phase", fontsize=opts.fs) + plt.gca().minorticks_on() + + ayleft = plt.twinx() + ayleft.yaxis.tick_left() + ayleft.yaxis.set_label_position("left") + if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: + ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) + else: + ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) + for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) + plt.ylabel("Observing time (s)", fontsize=opts.fs) + plt.gca().minorticks_on() + + # Determining the main (top/right) axes + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end-0.1) + else: + ax.set_xlim(xmin=bin_start, xmax=bin_end-0.1) + ax.set_ylim(ymin=ymin, ymax=ymax) + if not opts.is_no_top_axis: + ax.xaxis.tick_top() + ax.xaxis.set_label_position("top") + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and + # ticks from the bottom axis because then imshow won't work properly + ax.xaxis.set_major_formatter(ticker.NullFormatter()) + ax.xaxis.set_major_locator(ticker.NullLocator()) + ax.xaxis.set_minor_locator(ticker.NullLocator()) + + if not opts.is_no_right_axis: + ax.yaxis.tick_right() + ax.yaxis.set_label_position("right") + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and + # ticks from the left axis because then imshow won't work properly + ax.yaxis.set_major_formatter(ticker.NullFormatter()) + ax.yaxis.set_major_locator(ticker.NullLocator()) + ax.yaxis.set_minor_locator(ticker.NullLocator()) + + + else: # plotting the stack of pulses or subints in grey-scale mode + + ax = fig.add_subplot(111) + if not opts.is_no_top_axis: + plt.xlabel("Phase bin", fontsize=opts.fs) + + if not kapteyn_loaded: + colormap = cm.get_cmap(opts.colormap) + else: + colormap=VariableColormap(cm.get_cmap(opts.colormap)) + colormap.set_scale(opts.cmap_scaling) + + if dump_pulses > 0 or dump_time > 0: + ncount = dumpcount + if not opts.is_no_right_axis: plt.ylabel("Sub-integration", fontsize=opts.fs) + else: + ncount = pulsecount + if not opts.is_no_right_axis: plt.ylabel("Pulse number", fontsize=opts.fs) + + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + pulsestack = np.concatenate((pulsestack[:ncount], pulsestack[:ncount]), axis=1) + cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, opts.nbins + bin_end, 0, ncount), origin='lower', cmap=colormap) + else: + cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, bin_end, 0, ncount), origin='lower', cmap=colormap) + if opts.is_colorbar: + cbar = fig.colorbar(cax, orientation='horizontal', spacing='proportional') + if opts.is_events: + cbar.ax.set_xlabel("Counts/bin", fontsize=opts.fs) + elif opts.is_no_detrend: + cbar.ax.set_xlabel("Flux density (arb. units)", fontsize=opts.fs) + else: + cbar.ax.set_xlabel("Flux density ($\sigma$)", fontsize=opts.fs) + for label in cbar.ax.get_xticklabels(): label.set_fontsize(opts.fs) + + plt.gca().minorticks_on() + + # turn on grid + if opts.is_grid == True: + plt.grid(True) + + axbot = plt.twiny() + axbot.xaxis.tick_bottom() + axbot.xaxis.set_label_position("bottom") + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) + else: + axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) + for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Pulse phase", fontsize=opts.fs) + plt.gca().minorticks_on() + + ayleft = plt.twinx() + ayleft.yaxis.tick_left() + ayleft.yaxis.set_label_position("left") + if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: + ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) + else: + ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) + for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) + plt.ylabel("Observing time (s)", fontsize=opts.fs) + plt.gca().minorticks_on() + + # Determining the main (top/right) axes + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) + else: + ax.set_xlim(xmin=bin_start, xmax=bin_end) + ax.set_ylim(ymin=0, ymax=ncount) + if not opts.is_no_top_axis: + ax.xaxis.tick_top() + ax.xaxis.set_label_position("top") + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and # ticks from the bottom axis because then imshow won't work properly - ax.xaxis.set_major_formatter(ticker.NullFormatter()) - ax.xaxis.set_major_locator(ticker.NullLocator()) - ax.xaxis.set_minor_locator(ticker.NullLocator()) - - if not opts.is_no_right_axis: - ax.yaxis.tick_right() - ax.yaxis.set_label_position("right") - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and + ax.xaxis.set_major_formatter(ticker.NullFormatter()) + ax.xaxis.set_major_locator(ticker.NullLocator()) + ax.xaxis.set_minor_locator(ticker.NullLocator()) + + if not opts.is_no_right_axis: + ax.yaxis.tick_right() + ax.yaxis.set_label_position("right") + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and # ticks from the left axis because then imshow won't work properly - ax.yaxis.set_major_formatter(ticker.NullFormatter()) - ax.yaxis.set_major_locator(ticker.NullLocator()) - ax.yaxis.set_minor_locator(ticker.NullLocator()) - - - else: # plotting the stack of pulses or subints in grey-scale mode - - ax = fig.add_subplot(111) - if not opts.is_no_top_axis: - plt.xlabel("Phase bin", fontsize=opts.fs) - - if not kapteyn_loaded: - colormap = cm.get_cmap(opts.colormap) - else: - colormap=VariableColormap(cm.get_cmap(opts.colormap)) - colormap.set_scale(opts.cmap_scaling) - - if dump_pulses > 0 or dump_time > 0: - ncount = dumpcount - if not opts.is_no_right_axis: plt.ylabel("Sub-integration", fontsize=opts.fs) - else: - ncount = pulsecount - if not opts.is_no_right_axis: plt.ylabel("Pulse number", fontsize=opts.fs) - - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - pulsestack = np.concatenate((pulsestack[:ncount], pulsestack[:ncount]), axis=1) - cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, opts.nbins + bin_end, 0, ncount), origin='lower', cmap=colormap) - else: - cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, bin_end, 0, ncount), origin='lower', cmap=colormap) - if opts.is_colorbar: - cbar = fig.colorbar(cax, orientation='horizontal', spacing='proportional') - if opts.is_events: - cbar.ax.set_xlabel("Counts/bin", fontsize=opts.fs) - elif opts.is_no_detrend: - cbar.ax.set_xlabel("Flux density (arb. units)", fontsize=opts.fs) - else: - cbar.ax.set_xlabel("Flux density ($\sigma$)", fontsize=opts.fs) - for label in cbar.ax.get_xticklabels(): label.set_fontsize(opts.fs) - - plt.gca().minorticks_on() - - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - axbot = plt.twiny() - axbot.xaxis.tick_bottom() - axbot.xaxis.set_label_position("bottom") - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) - else: - axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) - for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Pulse phase", fontsize=opts.fs) - plt.gca().minorticks_on() - - ayleft = plt.twinx() - ayleft.yaxis.tick_left() - ayleft.yaxis.set_label_position("left") - if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: - ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) - else: - ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) - for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) - plt.ylabel("Observing time (s)", fontsize=opts.fs) - plt.gca().minorticks_on() - - # Determining the main (top/right) axes - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) - else: - ax.set_xlim(xmin=bin_start, xmax=bin_end) - ax.set_ylim(ymin=0, ymax=ncount) - if not opts.is_no_top_axis: - ax.xaxis.tick_top() - ax.xaxis.set_label_position("top") - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and - # ticks from the bottom axis because then imshow won't work properly - ax.xaxis.set_major_formatter(ticker.NullFormatter()) - ax.xaxis.set_major_locator(ticker.NullLocator()) - ax.xaxis.set_minor_locator(ticker.NullLocator()) - - if not opts.is_no_right_axis: - ax.yaxis.tick_right() - ax.yaxis.set_label_position("right") - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and - # ticks from the left axis because then imshow won't work properly - ax.yaxis.set_major_formatter(ticker.NullFormatter()) - ax.yaxis.set_major_locator(ticker.NullLocator()) - ax.yaxis.set_minor_locator(ticker.NullLocator()) - - - # Making the title - if opts.title != '': - ax.set_title("\n".join(opts.title.split("\\n")), fontsize=opts.fs, x=opts.titlepos.split(",")[0], y=opts.titlepos.split(",")[1], ha='%s' % (opts.titlepos.split(",")[-1])) - - # Putting the label - if opts.label != '': - ax.annotate("\n".join(opts.label.split("\\n")), fontsize=opts.fs, xycoords='axes fraction', xy=(0,0), xytext=(opts.labelpos.split(",")[0], opts.labelpos.split(",")[1]), ha='%s' % (opts.labelpos.split(",")[-1])) - - # turn on the Legend (only when is used in profile-only mode or timeseries mode) - if opts.legend != '' and (opts.is_timeseries or opts.is_profileonly): - prop=fm.FontProperties(size=opts.fs) - plt.legend(prop=prop, loc="%s" % (opts.loc)) - - # end of plotting - if opts.is_saveonly: - plt.savefig(pngname) - else: - plt.show() - - # closing input-file - if not opts.is_events: - infile.close() + ax.yaxis.set_major_formatter(ticker.NullFormatter()) + ax.yaxis.set_major_locator(ticker.NullLocator()) + ax.yaxis.set_minor_locator(ticker.NullLocator()) + + + # Making the title + if opts.title != '': + ax.set_title("\n".join(opts.title.split("\\n")), fontsize=opts.fs, x=opts.titlepos.split(",")[0], + y=opts.titlepos.split(",")[1], ha='%s' % (opts.titlepos.split(",")[-1])) + + # Putting the label + if opts.label != '': + ax.annotate("\n".join(opts.label.split("\\n")), fontsize=opts.fs, xycoords='axes fraction', xy=(0,0), + xytext=(opts.labelpos.split(",")[0], opts.labelpos.split(",")[1]), ha='%s' % (opts.labelpos.split(",")[-1])) + + # turn on the Legend (only when is used in profile-only mode or timeseries mode) + if opts.legend != '' and (opts.is_timeseries or opts.is_profileonly): + prop=fm.FontProperties(size=opts.fs) + plt.legend(prop=prop, loc="%s" % (opts.loc)) + + # end of plotting + if opts.is_saveonly: + plt.savefig(pngname) + else: + plt.show() + + # closing input-file + if not opts.is_events: + infile.close() diff --git a/bin/rfifind_stats.py b/bin/rfifind_stats.py index cdd0c8698..8874cddca 100755 --- a/bin/rfifind_stats.py +++ b/bin/rfifind_stats.py @@ -2,6 +2,12 @@ import sys from presto import rfifind +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + + + if __name__=="__main__": a = rfifind.rfifind(sys.argv[1]) sys.stderr.write("\nWARNING!: If raw data have channels in decreasing freq\n") diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 9d0f93893..90b24e73a 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -520,7 +520,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) # redundant with pgenv ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") ppgplot.pgsch(1.0) ppgplot.pgmtxt('T', 2.5, 0.3, 0.0, "Single Pulse Results for %s" % obsinfo['src']) diff --git a/bin/weights_to_ignorechan.py b/bin/weights_to_ignorechan.py index 43e378890..cb9f36146 100755 --- a/bin/weights_to_ignorechan.py +++ b/bin/weights_to_ignorechan.py @@ -50,6 +50,11 @@ def build_pazline(chanline): return outstr if __name__=="__main__": + + if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + # Read the channels and weights chans, weights = read_weights(sys.argv[1]) diff --git a/python/Makefile b/python/Makefile deleted file mode 100644 index 5309c0eb7..000000000 --- a/python/Makefile +++ /dev/null @@ -1,15 +0,0 @@ -build: - python setup.py install --home=${PRESTO} - cd fftfit_src ; f2py -c fftfit.pyf *.f - cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python - python fftfit_src/test_fftfit.py - -build3: - python3 setup.py install --home=${PRESTO} - cd fftfit_src ; f2py3 -c fftfit.pyf *.f - cd fftfit_src ; cp 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S/N>9.2,",\ + parser.add_option('--min-rank', dest='min_rank', type='int', + help="Min rank you want to make spd files for. (Default: 3)" + " Rank 1: noise," + " Rank 2: RFI," + " Rank 3: maybe astrophysical, very low S/N," + " Rank 4: probably astrophysical but weak, low S/N," + " Rank 5: Very high chance of being astrophysical. S/N>8.0," + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,", default=3) - parser.add_option('--group-rank', dest='group_rank', type='int',\ - help="Min rank you want to make spd files for. (Default: None)"\ - " Rank 1: noise,"\ - " Rank 2: RFI,"\ - " Rank 3: maybe astrophysical, very low S/N,"\ - " Rank 4: probably astrophysical but weak, low S/N,"\ - " Rank 5: Very high chance of being astrophysical. S/N>8.0,"\ - " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,",\ + parser.add_option('--group-rank', dest='group_rank', type='int', + help="Min rank you want to make spd files for. (Default: None)" + " Rank 1: noise," + " Rank 2: RFI," + " Rank 3: maybe astrophysical, very low S/N," + " Rank 4: probably astrophysical but weak, low S/N," + " Rank 5: Very high chance of being astrophysical. S/N>8.0," + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,", default=None) - parser.add_option('--use_manual_params', dest='man_params', action='store_true', \ - help="If this flag is not set it will use the parameters " \ - "from the RRATrap groups.txt file. "\ - "(Default: Not use this flag. When using "\ - "parameters from the output of rratrap. Just input"\ - "groups.txt file, mask file, the PSRFITs file"\ - "and the .singlepulse files as input. No need to specify any of"\ - " the other arguments.)",\ + parser.add_option('--use_manual_params', dest='man_params', action='store_true', + help="If this flag is not set it will use the parameters " + "from the RRATrap groups.txt file. " + "(Default: Not use this flag. When using " + "parameters from the output of rratrap. Just input" + "groups.txt file, mask file, the PSRFITs file" + "and the .singlepulse files as input. No need to specify any of" + " the other arguments.)", default=False) - parser.add_option('-o', dest='outbasenm', type='string', \ - help="basename of the output spd file.", \ + parser.add_option('-o', dest='outbasenm', type='string', + help="basename of the output spd file.", default=None) - parser.add_option('--noplot', dest='plot', action='store_false', \ - help="Do not generate spd plots.", \ + parser.add_option('--noplot', dest='plot', action='store_false', + help="Do not generate spd plots.", default=True) - parser.add_option('--just-waterfall', dest='just_waterfall', action='store_true', \ - help="Only produce the waterfall plots (frequency vs Time).", \ + parser.add_option('--just-waterfall', dest='just_waterfall', action='store_true', + help="Only produce the waterfall plots (frequency vs Time).", default=False) options, args = parser.parse_args() @@ -553,11 +558,11 @@ def main(): raise ValueError("The groups.txt file must be given on the command line! ") else: if not hasattr(options, 'start'): - raise ValueError("Start time (-T/--start-time) " \ + raise ValueError("Start time (-T/--start-time) " "must be given on command line!") if (not hasattr(options, 'duration')) and (not hasattr(options, 'nbins')): - raise ValueError("One of duration (-t/--duration) " \ - "and num bins (-n/--nbins)" \ + raise ValueError("One of duration (-t/--duration) " + "and num bins (-n/--nbins)" "must be given on command line!") if options.subdm is None: options.subdm = options.dm diff --git a/python/presto/singlepulse/plot_spd.py b/python/presto/singlepulse/plot_spd.py index 828bdfc3e..ca8751ecd 100755 --- a/python/presto/singlepulse/plot_spd.py +++ b/python/presto/singlepulse/plot_spd.py @@ -12,11 +12,11 @@ from builtins import map import numpy as np import optparse -import tarfile +import tarfile from subprocess import Popen, PIPE -import presto.singlepulse.sp_pgplot as sp_pgplot -import presto.singlepulse.read_spd as read_spd -import presto.singlepulse.spio as spio +from presto.singlepulse import sp_pgplot +from presto.singlepulse import read_spd +from presto.singlepulse import spio def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", @@ -52,17 +52,17 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal if not spdfile.endswith(".spd"): raise ValueError("The first file must be a .spd file") - #npzfile = np.load(spdfile) - spdobj = read_spd.spd(spdfile) + # npzfile = np.load(spdfile) + spdobj = read_spd.spd(spdfile) ##### Read in the header information and other required variables for the plots. ###### - #text_array = npzfile['text_array'] + # text_array = npzfile['text_array'] man_params = spdobj.man_params fn = spdobj.filename telescope = spdobj.telescope RA = spdobj.ra dec = spdobj.dec MJD = spdobj.mjd - mjd = Popen(["mjd2cal", "%f"%MJD], stdout=PIPE, stderr=PIPE) + mjd = Popen(["mjd2cal", "%f" % MJD], stdout=PIPE, stderr=PIPE) date, err = mjd.communicate() date = date.split()[2:5] rank = spdobj.rank @@ -77,7 +77,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal tsamp = spdobj.tsamp Total_observed_time = spdobj.total_obs_time topo_start = spdobj.pulse_peak_time - start = topo_start - loc_pulse*duration + start = topo_start - loc_pulse * duration datastart = spdobj.waterfall_start_time datasamp = spdobj.waterfall_tsamp datanumspectra = spdobj.waterfall_prededisp_nbins @@ -86,7 +86,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sweep_duration = spdobj.sweep_duration sweeped_start = spdobj.sweep_start_time bary_start = spdobj.bary_pulse_peak_time - downsamp = datasamp/tsamp + downsamp = datasamp / tsamp if xwin: pgplot_device = "/XWIN" else: @@ -94,22 +94,24 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal if pgplot_device: sp_pgplot.ppgplot.pgopen(pgplot_device) else: - if (outfile == "spdplot"): # default filename + if (outfile == "spdplot"): # default filename if rank: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + sp_pgplot.ppgplot.pgopen( + fn[:-5] + '_DM%.1f_%.1fs_rank_%i.spd.ps/VPS' % (subdm, (start + loc_pulse * duration), rank)) else: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + sp_pgplot.ppgplot.pgopen(fn[:-5] + '_DM%.1f_%.1fs.spd.ps/VPS' % (subdm, (start + loc_pulse * duration))) else: if rank: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + sp_pgplot.ppgplot.pgopen( + outfile + '_DM%.1f_%.1fs_rank_%i.spd.ps/VPS' % (subdm, (start + loc_pulse * duration), rank)) else: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + sp_pgplot.ppgplot.pgopen(outfile + '_DM%.1f_%.1fs.spd.ps/VPS' % (subdm, (start + loc_pulse * duration))) if (just_waterfall == False): - sp_pgplot.ppgplot.pgpap(10.25, 8.5/11.0) + sp_pgplot.ppgplot.pgpap(10.25, 8.5 / 11.0) # Dedispersed waterfall plot - zerodm - OFF array = spdobj.data_nozerodm_dedisp.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.50, 0.80) - sp_pgplot.ppgplot.pgswin(datastart-start, datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) @@ -117,135 +119,141 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") if not integrate_spec: sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - - #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') + + #### Plot Dedispersed Time series - Zerodm filter - Off + Dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp + if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.80, 0.90) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(Dedisp_ts), + 1.05 * np.max(Dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgline(times, Dedisp_ts) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgsci(1) - - errx1 = np.array([0.60 * (datastart-start+duration)]) + + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(Dedisp_ts)]) erry2 = np.array([np.std(Dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - Off if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.5, 0.8) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON + + # Dedispersed waterfall plot - Zerodm ON sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.1, 0.40) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s" % datastart) sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") if not integrate_spec: sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") array = spdobj.data_zerodm_dedisp.astype(np.float64) - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp + dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.40, 0.50) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(dedisp_ts), + 1.05 * np.max(dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) + sp_pgplot.ppgplot.pgline(times, dedisp_ts) + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(dedisp_ts)]) erry2 = np.array([np.std(dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - On if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.1, 0.4) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - + if disp_pulse: # Sweeped waterfall plot Zerodm - OFF array = spdobj.data_nozerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.50, 0.70) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') delays = spdobj.dmsweep_delays freqs = spdobj.dmsweep_freqs sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) sp_pgplot.ppgplot.pgslw(3) - + # Sweeped waterfall plot Zerodm - ON array = spdobj.data_zerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.1, 0.3) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) - + #### Figure texts if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.81, 0.97, 0.64, 0.909) @@ -254,39 +262,39 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgsvp(0.745, 0.97, 0.64, 0.909) sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" % RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" % dec) + sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" % MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" % (date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" % telescope) + sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\\u-3\\d" % dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: %.2f" % sigma) else: sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \\gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" % nbins) + sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" % nsub) + sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" % (pulse_width * 1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \\gms" % (tsamp * 1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" % (bary_start)) sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) - sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) - - #DM vs SNR + sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" % fn) + + # DM vs SNR if not man_params: dm_arr = np.float32(spdobj.dmVt_this_dms) - sigma_arr = np.float32 (spdobj.dmVt_this_sigmas) - time_arr = np.float32 (spdobj.dmVt_this_times) + sigma_arr = np.float32(spdobj.dmVt_this_sigmas) + time_arr = np.float32(spdobj.dmVt_this_times) if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) else: sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) - sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95*np.min(sigma_arr), 1.05*np.max(sigma_arr)) + sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95 * np.min(sigma_arr), 1.05 * np.max(sigma_arr)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\\d)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) else: @@ -330,179 +338,186 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") else: - #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) + # sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) sp_pgplot.ppgplot.pgpap(8.0, 1.5) # Dedispersed waterfall plot - zerodm - OFF array = spdobj.data_nozerodm_dedisp.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart -start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') + #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp + Dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.75, 0.83) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(Dedisp_ts), + 1.05 * np.max(Dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgline(times, Dedisp_ts) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgsci(1) - errx1 = np.array([0.60 * (datastart-start+duration)]) + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(Dedisp_ts)]) erry2 = np.array([np.std(Dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - Off if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.7, 0.9, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON + + # Dedispersed waterfall plot - Zerodm ON array = spdobj.data_zerodm_dedisp.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s" % datastart) sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') - - + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') + #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp + dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.1, 0.7, 0.36, 0.44) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(dedisp_ts), + 1.05 * np.max(dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) + sp_pgplot.ppgplot.pgline(times, dedisp_ts) + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(dedisp_ts)]) erry2 = np.array([np.std(dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - On if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.70, 0.90, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - if disp_pulse: + if disp_pulse: # Sweeped waterfall plot Zerodm - OFF array = spdobj.data_nozerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.44, 0.65) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') delays = spdobj.dmsweep_delays freqs = spdobj.dmsweep_freqs sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) sp_pgplot.ppgplot.pgslw(3) - + # Sweeped waterfall plot Zerodm - ON array = spdobj.data_zerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.05, 0.25) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) - + #### Figure texts sp_pgplot.ppgplot.pgsvp(0.05, 0.95, 0.8, 0.9) sp_pgplot.ppgplot.pgsch(0.65) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" % RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" % dec) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" % MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" % (date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" % telescope) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\\u-3\\d" % dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\\dMAX\\u: %.2f" % sigma) else: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\\dMAX\\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" % nbins) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" % nsub) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" % (pulse_width * 1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" % (tsamp * 1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" % (bary_start)) sp_pgplot.ppgplot.pgiden() sp_pgplot.ppgplot.pgclos() + def main(): parser = optparse.OptionParser(prog="plot_spd.py", - usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") + usage="%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") parser.add_option("-x", "--xwin", action="store_true", dest="xwin", default=False, help="Don't make a postscript plot, just use an X-window") - parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", - help= "give a base name to the saved plot. DM, time and" - "rank values will be added automatically" ) + parser.add_option("-o", dest="outfile", type="string", default="spdplot", + help="give a base name to the saved plot. DM, time and" + "rank values will be added automatically") parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" - "is the window around the pulse considered for the spectrum. (Default: 1.5)", + "is the window around the pulse considered for the spectrum. (Default: 1.5)", default=1.5) - parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." - "(Default: 0.5 half way in.)", + parser.add_option("--loc", dest="loc_pulse", type="float", + help="Fraction of the window length where the pulse is located." + "(Default: 0.5 half way in.)", default=0.5) parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", default=False, help="Just produce the waterfall plots.") @@ -513,7 +528,7 @@ def main(): parser.add_option("--show-sweep", action="store_true", dest="disp_pulse", default=False, help="Show dispersed pulse.(Default: Don't show dispersed pulse)") (options, args) = parser.parse_args() - + if len(args) == 0: raise ValueError("need a .spd file and .singlepulse files in that order.") if not args[0].endswith(".spd"): @@ -521,13 +536,15 @@ def main(): if len(args) == 2: tar = tarfile.open(args[1], "r:gz") # read in the tarball filenames = tar.getnames() # get the filenames - plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, + plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, + options.just_waterfall, options.integrate_spec, options.integrate_ts, options.disp_pulse, tar) # make the sp plots tar.close() else: - plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None) # make the sp plots + plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, + options.just_waterfall, + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar=None) # make the sp plots if __name__ == '__main__': - main() + main() diff --git a/python/presto/singlepulse/rrattrap.py b/python/presto/singlepulse/rrattrap.py index 4c72db3c7..1132a1791 100755 --- a/python/presto/singlepulse/rrattrap.py +++ b/python/presto/singlepulse/rrattrap.py @@ -21,7 +21,7 @@ import matplotlib.pyplot as plt from presto.Pgplot import * import optparse -import presto.singlepulse.spio as spio +from presto.singlepulse import spio FRACTIONAL_SIGMA = 0.9 # change to 0.8? ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] From 9dcc388a308dc19a729176c9d45942fbed20ca46 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Fri, 14 Dec 2018 13:47:05 +0200 Subject: [PATCH 042/146] add travis and docker files --- .dockerignore | 64 +++++++++++++++++++++++++++++++++++++++++++++ .gitignore | 2 +- .travis.yml | 21 +++++++++++++++ .travis/mypy.docker | 7 +++++ .travis/pep8.docker | 7 +++++ .travis/py2.docker | 19 ++++++++++++++ .travis/py3.docker | 18 +++++++++++++ setup.py | 2 +- 8 files changed, 138 insertions(+), 2 deletions(-) create mode 100644 .dockerignore create mode 100644 .travis.yml create mode 100644 .travis/mypy.docker create mode 100644 .travis/pep8.docker create mode 100644 .travis/py2.docker create mode 100644 .travis/py3.docker diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..0a70af3e9 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,64 @@ +*.[oa] +*.so +*.dylib +*.pyc +*~ +.DS_Store +TAGS +*egg-info +lib/fftw_wisdom.txt +bin/GBT350filterbank +bin/accelsearch +bin/bary +bin/bincand +bin/cal2mjd +bin/check_parkes_raw +bin/dat2sdat +bin/dftfold +bin/downsample +bin/dump_spigot_zerolag +bin/exploredat +bin/explorefft +bin/fitsdelcol +bin/fitsdelrow +bin/makedata +bin/makeinf +bin/mjd2cal +bin/mpiprepsubband +bin/patchdata +bin/plotbincand +bin/prepdata +bin/prepfold +bin/prepsubband +bin/psrorbit +bin/psrfits_dumparrays +bin/quicklook +bin/readfile +bin/realfft +bin/rednoise +bin/rfifind +bin/sdat2dat +bin/search_bin +bin/search_rzw +bin/shiftdata +bin/show_pfd +bin/spigot2filterbank +bin/spigotSband2filterbank +bin/split_parkes_beams +bin/swap_endian +bin/taperaw +bin/toas2dat +bin/un_sc_td +bin/weight_psrfits +bin/window +bin/zapbirds +lib/python/ppgplot/ +lib/python/presto/ +python/build/ +src/slalib/sla_test +src/makewisdom +src/fftw_wisdom.txt +MANIFEST +.venv*/ +dist/ +.mypy_cache/ diff --git a/.gitignore b/.gitignore index 1893acb8e..0a70af3e9 100644 --- a/.gitignore +++ b/.gitignore @@ -61,4 +61,4 @@ src/fftw_wisdom.txt MANIFEST .venv*/ dist/ - +.mypy_cache/ diff --git a/.travis.yml b/.travis.yml new file mode 100644 index 000000000..ee2b0b4d1 --- /dev/null +++ b/.travis.yml @@ -0,0 +1,21 @@ +language: python +matrix: + include: + - env: TARGET=py2 + - env: TARGET=py3 + - env: TARGET=pep8 + - env: TARGET=mypy + allow_failures: + - env: TARGET=pep8 + - env: TARGET=mypy +sudo: required +services: +- docker +before_install: +- true +install: +- docker build . -t ${TARGET} -f .travis/${TARGET}.docker +before_script: +- true +script: +- true diff --git a/.travis/mypy.docker b/.travis/mypy.docker new file mode 100644 index 000000000..e4bf66fe4 --- /dev/null +++ b/.travis/mypy.docker @@ -0,0 +1,7 @@ +FROM kernsuite/base:4 +RUN docker-apt-install python3-pip +RUN pip3 install mypy +ADD . /code +WORKDIR /code +RUN mypy --ignore-missing-imports python + diff --git a/.travis/pep8.docker b/.travis/pep8.docker new file mode 100644 index 000000000..bb5489d3b --- /dev/null +++ b/.travis/pep8.docker @@ -0,0 +1,7 @@ +FROM kernsuite/base:4 +RUN docker-apt-install python3-pip +RUN pip3 install pycodestyle +ADD . /code +WORKDIR /code +RUN pycodestyle python --ignore=E501 + diff --git a/.travis/py2.docker b/.travis/py2.docker new file mode 100644 index 000000000..74c5abe26 --- /dev/null +++ b/.travis/py2.docker @@ -0,0 +1,19 @@ +FROM kernsuite/base:4 +RUN docker-apt-install \ + python-pip \ + python-numpy \ + python-future \ + python-six \ + python-scipy \ + python-astropy \ + gfortran \ + pgplot5 \ + libx11-dev \ + libglib2.0-dev \ + libcfitsio-dev \ + libpng-dev \ + libfftw3-dev +RUN docker-apt-install pgplot5 +ADD . /code +RUN pip install /code + diff --git a/.travis/py3.docker b/.travis/py3.docker new file mode 100644 index 000000000..2caa3fa8e --- /dev/null +++ b/.travis/py3.docker @@ -0,0 +1,18 @@ +FROM kernsuite/base:4 +RUN docker-apt-install \ + python3-pip \ + python3-numpy \ + python3-future \ + python3-six \ + python3-scipy \ + python3-astropy \ + gfortran \ + pgplot5 \ + libx11-dev \ + libglib2.0-dev \ + libcfitsio-dev \ + libpng-dev \ + libfftw3-dev +ADD . /code +RUN pip3 install /code + diff --git a/setup.py b/setup.py index aeb7f8540..00e23ab2a 100644 --- a/setup.py +++ b/setup.py @@ -19,7 +19,7 @@ ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] ppgplot_library_dirs = ["/usr/X11R6/lib"] -presto_libraries = ["presto", "fftw3f", "m"] +presto_libraries = ["fftw3f", "m"] presto_library_dirs = [] ppgplot_include_dirs = include_dirs From 1343e60d966246ce50e02773be583299133f7743 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:14:21 -0800 Subject: [PATCH 043/146] Fixed print call (Thanks sk8forether) --- python/presto/sigproc.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/presto/sigproc.py b/python/presto/sigproc.py index 0bd9c9189..0c0bfc1c6 100755 --- a/python/presto/sigproc.py +++ b/python/presto/sigproc.py @@ -89,7 +89,7 @@ def read_intval(filfile, stdout=False): def read_charval(filfile, stdout=False): charval = struct.unpack('b', filfile.read(1))[0] if stdout: - print " char value = '%d'"%charval + print(" char value = '%d'"%charval) return charval def read_longintval(filfile, stdout=False): From 239e30b450ff23dbdab78f21f2d5305e44935701 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:29:16 -0800 Subject: [PATCH 044/146] Fixed a few random print commands --- bin/gotocand.py | 2 +- bin/rrattrap.py | 2 +- python/presto/mpfit.py | 6 +++--- python/presto/psr_utils.py | 6 +++--- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/bin/gotocand.py b/bin/gotocand.py index 9809249a4..4b10edc44 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -77,7 +77,7 @@ def find_datfile(nodename, basename, DM): line = line.join(line.split()[1:]) if line.endswith(".dat"): datfile = line - print "'%s'"%datfile + print("'%s'"%datfile) if datfile!='' and datfile.startswith("/scratch"): return datfile return None diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 90b24e73a..15b25944d 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -571,7 +571,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig def print_debug(msg): if DEBUG: print(msg) -# print h.heap() + # print(h.heap()) def pop_by_rank(groups, rank): diff --git a/python/presto/mpfit.py b/python/presto/mpfit.py index 82b916b19..faa6340b8 100644 --- a/python/presto/mpfit.py +++ b/python/presto/mpfit.py @@ -279,9 +279,9 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) p[4]*numpy.log(x)) fa = {'x':x, 'y':y, 'err':err} m = mpfit('myfunct', p0, functkw=fa) - print 'status = ', m.status - if (m.status <= 0): print 'error message = ', m.errmsg - print 'parameters = ', m.params + print('status = ', m.status) + if (m.status <= 0): print('error message = ', m.errmsg) + print('parameters = ', m.params) Minimizes sum of squares of MYFUNCT. MYFUNCT is called with the X, Y, and ERR keyword parameters that are given by FUNCTKW. The diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 29701c299..6d3c5761c 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -473,7 +473,7 @@ def TS99_WDmass(pb, pop="I+II"): "I+II": (4.75, 1.1e5, 0.115), "II": (5.00, 1.0e5, 0.110)} if pop not in vals.keys(): - print "Not a valid stellar pop: should be 'I', 'I+II', or 'II'" + print("Not a valid stellar pop: should be 'I', 'I+II', or 'II'") return None else: a, b, c = vals[pop] @@ -1292,7 +1292,7 @@ def fwhm_func(k, fwhm=fwhm): elif (fwhm < 0.02): # The following is from expanding of iO(x) as x->Infinity. k = Num.log(2.0) / (1.0 - Num.cos(PI * fwhm)) - # print "Expansion: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0)) + # print("Expansion: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0))) phsval = Num.fmod(phsval + phi, TWOPI) phsval = Num.where(Num.greater(phsval, PI), phsval - TWOPI, phsval) @@ -1303,7 +1303,7 @@ def fwhm_func(k, fwhm=fwhm): else: k = secant(fwhm_func, 1e-8, 0.5) norm = 1.0 / (i0(k) - Num.exp(-k)) - # print "Full Calc: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0)) + # print("Full Calc: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0))) if (k < 0.05): tmp = Num.cos(phsval + phi) tmp2 = tmp * tmp From 966e145b2ade026d1841b362eba12ad1dab78bd9 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:36:41 -0800 Subject: [PATCH 045/146] Added sys import --- python/presto/Pgplot.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/presto/Pgplot.py b/python/presto/Pgplot.py index 7299b1b5e..9becae374 100644 --- a/python/presto/Pgplot.py +++ b/python/presto/Pgplot.py @@ -16,6 +16,7 @@ from __future__ import print_function from builtins import range from builtins import object +import sys import numpy as Num from presto import ppgplot From 01aa9e5b0d488783bf709fcb24ed9d5800af2e5e Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:51:43 -0800 Subject: [PATCH 046/146] Added link to presto.so for compiled python modules --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 00e23ab2a..aeb7f8540 100644 --- a/setup.py +++ b/setup.py @@ -19,7 +19,7 @@ ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] ppgplot_library_dirs = ["/usr/X11R6/lib"] -presto_libraries = ["fftw3f", "m"] +presto_libraries = ["presto", "fftw3f", "m"] presto_library_dirs = [] ppgplot_include_dirs = include_dirs From 80b1b45ef18c1c23bbbd79e4804d704ddd941fbf Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 09:35:16 -0800 Subject: [PATCH 047/146] Updated python test scripts --- tests/test_max_rzw_harmonics.py | 22 ++++++++++++++-------- tests/test_presto_python.py | 10 +++------- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/tests/test_max_rzw_harmonics.py b/tests/test_max_rzw_harmonics.py index f6e77686a..18dfb1ffc 100644 --- a/tests/test_max_rzw_harmonics.py +++ b/tests/test_max_rzw_harmonics.py @@ -1,8 +1,14 @@ +import sys +import time import numpy as np -from presto import presto from numpy.random import standard_normal as norm from numpy.random import uniform -import time +from presto import presto + +if sys.version_info[0]<3: + clk = time.clock +else: + clk = time.perf_counter N = 2**17 noiseamp = 1.0 @@ -36,7 +42,7 @@ offset = uniform(-1.0, 1.0, 3) * np.array([0.5, 2.0, 20.0]) / (0.5 * numharm) - a = time.clock() + a = clk() if (numharm > 1): [maxpow, rmax, zmax, rds] = presto.maximize_rz_harmonics(ft, r+offset[0], z+offset[1], numharm, @@ -45,10 +51,10 @@ [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+offset[0], z+offset[1], norm=1.0) - rztime += time.clock() - a + rztime += clk() - a rzerrs[n] = (maxpow/numharm - theo_max_pow) / theo_max_pow, rmax - r, zmax - z - a = time.clock() + a = clk() if (numharm > 1): [maxpow, rmax, zmax, wmax, rds] = presto.maximize_rzw_harmonics(ft, r+offset[0], z+offset[1], @@ -59,11 +65,11 @@ z+offset[1], w+offset[2], norm=1.0) - rzwtime += time.clock() - a + rzwtime += clk() - a rzwerrs[n] = (maxpow/numharm - theo_max_pow) / theo_max_pow, rmax - r, zmax - z, wmax - w -print("Time for rz: %s".format(rztime / numtrials)) -print("Time for rzw: %s".format(rzwtime / numtrials)) +print("Time for rz: %f" % (rztime / numtrials)) +print("Time for rzw: %f" % (rzwtime / numtrials)) print("rzerrs:") print(" avg: %6.3f %6.3f %6.3f" % tuple(rzerrs.mean(axis=0))) diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index 0b50d9e8e..e5c22f039 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -6,8 +6,6 @@ here = path.dirname(__file__) - - print("Testing FFT stuff...", end=' ') N = 20 x = np.random.standard_normal(N) @@ -66,9 +64,7 @@ psr = presto.psrepoch("J0737-3039A", 56000.0, verbose=False) assert(round(psr.dm-48.92, 7)==0) # This needs to change when we start using the actual psrcat.db file -print("\nTODO: fix the precision of the values in the catalog!!") -assert(round(psr.orb.p-8838.72, 7)==0) -#assert(round(psr.orb.p-8834.534998272, 7)==0) +assert(round(psr.orb.p-8834.534998272, 7)==0) print("success") print("Testing spectralpower and spectralphase...", end=' ') @@ -121,7 +117,6 @@ numbetween = 16 z = 5.0 w = 40.0 -# Should use w_resp_halfwidth() for this. Need to update that! bins_per_side = max([presto.r_resp_halfwidth(presto.LOWACC), \ presto.z_resp_halfwidth(z, presto.LOWACC), \ presto.w_resp_halfwidth(z, w, presto.LOWACC)]) @@ -133,7 +128,8 @@ pz = presto.spectralpower(zresp) pw = presto.spectralpower(wresp) rs = np.arange(float(nn))/numbetween - bins_per_side -if 0: +if False: + import matplotlib.pyplot as plt plt.plot(rs, pr, 'b-') plt.plot(rs, pz, 'g-') plt.plot(rs, pw, 'r-') From 0fcd610a849e0f7702492044b0710339486bab68 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 10:01:05 -0800 Subject: [PATCH 048/146] Changed tabs to spaces --- bin/makezaplist.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/bin/makezaplist.py b/bin/makezaplist.py index 55550d639..3ee35408f 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -45,8 +45,8 @@ def processbirds(filename): min_psr_width = 40.0 / T file = open(filename, "r") for line in file.readlines(): - if (len(line)<=3 or line[0]=='#'): - continue + if (len(line)<=3 or line[0]=='#'): + continue elif (line[0]=='P'): (tmp, psrname, numharm) = line.split() numharm = int(numharm) @@ -69,7 +69,7 @@ def processbirds(filename): birds.append(bird(midf, width, bary=1)) else: words = line.split() - increase_width = 0 + increase_width = 0 bary = 0 if (len(words) >= 3): freq = float(words[0]) From aa9d606587a2048aba0487eb7b9c69eb931a6faa Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 10:10:03 -0800 Subject: [PATCH 049/146] Fixed sort of birds --- bin/makezaplist.py | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/bin/makezaplist.py b/bin/makezaplist.py index 3ee35408f..c6a044fef 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -1,23 +1,19 @@ #!/usr/bin/env python from __future__ import print_function -from past.builtins import cmp from builtins import str from builtins import range from builtins import object -from sys import argv, exit +import sys +from operator import attrgetter from presto.presto import read_inffile, binary_velocity, psrepoch - class bird(object): def __init__(self, freq, width, bary=0): self.freq = freq self.width = width self.bary = bary - def __cmp__(self, other): - return cmp(self.freq, other.freq) - def __str__(self): if self.bary: return "B %20.15g %20.15g\n" % (self.freq, self.width) @@ -30,7 +26,7 @@ def processbirds(filename): ii = filename.index(".birds") except ValueError: print("\nThe birdie filename must end in '.birds'\n") - exit(0) + sys.exit(0) else: rootname = filename[:ii] psrs = 0 @@ -92,7 +88,7 @@ def processbirds(filename): print("\nRead %d freqs, %d pulsars, and %d harmonic series." % \ (freqs, psrs, trains)) print("Total number of birdies = %d" % (len(birds))) - birds.sort() + birds.sort(key=attrgetter('freq')) file.close() file = open(rootname+".zaplist", "w") file.write("# This file created automatically with makebirds.py\n") @@ -106,9 +102,9 @@ def processbirds(filename): print("\nWrote '%s'\n" % (rootname+".zaplist")) if __name__ == '__main__': - if len(argv)==1: + if len(sys.argv)==1: print("\nusage: makezaplist.py birdsfilename") print(" Note: 'birdsfilename' must end in '.birds'\n") print(" and a related infofile ('.inf') must exist.\n") else: - processbirds(argv[1]) + processbirds(sys.argv[1]) From d1d69928cb9f70637c123d57f6ea4b42f3a59e15 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 10:25:11 -0800 Subject: [PATCH 050/146] Fixed imports for ACCEL_sift.py --- python/ACCEL_sift.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index 66a915e10..5a78197ae 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,5 +1,7 @@ from builtins import map -import sifting, re, glob +import re +import glob +import presto.sifting as sifting from operator import itemgetter, attrgetter # Note: You will almost certainly want to adjust From 7c2a39f5406c29af5ee47bd704a745271aa76cad Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 11:00:54 -0800 Subject: [PATCH 051/146] Fixed popen calls and imports --- bin/gotocand.py | 45 ++++++++++++++++++++++++++++++--------------- 1 file changed, 30 insertions(+), 15 deletions(-) diff --git a/bin/gotocand.py b/bin/gotocand.py index 4b10edc44..f844566ed 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -1,12 +1,18 @@ #!/usr/bin/env python -import sys, os, glob, os.path, string, re +import sys +import os +import os.path +import glob +import string +import re +from subprocess import Popen, PIPE, STDOUT from presto.presto import fourierprops, get_rzw_cand short_re = re.compile("_\d\d\dM_\d\d_ACCEL_") def determine_dt(candfile): for line in open(candfile): - if line.startswith(" Width of each time series bin"): + if line.startswith(b" Width of each time series bin"): return float(line.split()[-1]) def short_stuff(candfile, candnum, shortinfo, nodename, datfile): @@ -55,39 +61,48 @@ def find_node(DM): return None def find_local_datfile(basename, DM): - i,o = os.popen4("find .. -name \*%s\*DM%s\*dat"%(basename, DM)) + p = Popen("find .. -name \*%s\*DM%s\*dat"%(basename, DM), shell=True, + bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, close_fds=True) + (i, o) = (p.stdin, p.stdout) datfile = '' for line in o: line = line.strip() - if line.startswith("find:"): + if line.startswith(b"find:"): line = line.join(line.split()[1:]) - if line.endswith(".dat"): - datfile = line + if line.endswith(b".dat"): + datfile = line.decode("utf-8") print("'%s'"%datfile) if datfile!='': return datfile def find_datfile(nodename, basename, DM): - i,o = os.popen4("ssh %s find -L /scratch -name \*%s\*DM%s\*dat"%\ - (nodename, basename, DM)) + p = Popen("ssh %s find -L /scratch -name \*%s\*DM%s\*dat"%(nodename, basename, DM), + shell=True, bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, close_fds=True) + (i, o) = (p.stdin, p.stdout) datfile = '' for line in o: line = line.strip() - if line.startswith("find:"): + if line.startswith(b"find:"): line = line.join(line.split()[1:]) - if line.endswith(".dat"): - datfile = line + if line.endswith(b".dat"): + datfile = line.decode("utf-8") print("'%s'"%datfile) - if datfile!='' and datfile.startswith("/scratch"): + if datfile!='' and datfile.startswith(b"/scratch"): return datfile return None def get_datfile_len(nodename, datfile): if nodename: - i,o = os.popen4("ssh %s ls -l %s | awk '{ print $5 };'"%(nodename, datfile)) + p = Popen("ssh %s ls -l %s | awk '{ print $5 };'"%(nodename, datfile), + shell=True, bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, + close_fds=True) + (i, o) = (p.stdin, p.stdout) else: - i,o = os.popen4("ls -l %s | awk '{ print $5 };'"%(datfile)) - filelen = o.readline() + p = Popen("ls -l %s | awk '{ print $5 };'"%(datfile), + shell=True, bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, + close_fds=True) + (i, o) = (p.stdin, p.stdout) + filelen = o.readline().decode("utf-8") if filelen!='': return int(filelen)/4 return None From 3e2d5723bbf0220e539eaba98763dfe0ee183fba Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 11:50:59 -0800 Subject: [PATCH 052/146] Added missing import --- bin/pygaussfit.py | 1 + 1 file changed, 1 insertion(+) diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index de7e08487..a4a372d92 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -2,6 +2,7 @@ from __future__ import print_function from builtins import range from builtins import object +import os import sys from presto.psr_utils import gaussian_profile, read_profile from matplotlib.patches import Rectangle From c1410df0c97020a7ca5eb9f6d67dc39f5482cde8 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 13:57:13 -0800 Subject: [PATCH 053/146] Fixed string and integer division issues --- python/presto/prepfold.py | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/python/presto/prepfold.py b/python/presto/prepfold.py index 0aed966e8..313085942 100644 --- a/python/presto/prepfold.py +++ b/python/presto/prepfold.py @@ -32,9 +32,8 @@ def __init__(self, filename): self.ndmfact, self.npfact) = struct.unpack(swapchar+"i"*7, infile.read(7*4)) self.filenm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) - print(self.proflen, self.ndmfact, self.npfact, self.nsub, self.filenm) self.candnm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) - self.telescope = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) + self.telescope = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]).decode("utf-8") self.pgdev = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) test = infile.read(16) if not test[:8]==b"Unknown" and b':' in test: @@ -129,7 +128,7 @@ def __init__(self, filename): except IOError: print("Warning! Can't open the .inf file for "+filename+"!") self.binspersec = self.fold_p1*self.proflen - self.chanpersub = self.numchan/self.nsub + self.chanpersub = self.numchan // self.nsub self.subdeltafreq = self.chan_wid*self.chanpersub self.hifreq = self.lofreq + (self.numchan-1)*self.chan_wid self.losubfreq = self.lofreq + self.subdeltafreq - self.chan_wid @@ -479,8 +478,8 @@ def combine_profs(self, new_npart, new_nsub): print("Doing nothing.") return None - dp = self.npart/new_npart - ds = self.nsub/new_nsub + dp = self.npart // new_npart + ds = self.nsub // new_nsub newprofs = Num.zeros((new_npart, new_nsub, self.proflen), 'd') for ii in range(new_npart): @@ -786,29 +785,29 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, if (combineints > 1): # First chop off any extra intervals if (self.npart % combineints): - self.DSnpart = (self.npart/combineints) * combineints + self.DSnpart = (self.npart // combineints) * combineints self.DS = self.DS[:self.DSnpart,:] # Now reshape and add the neighboring intervals - self.DS = Num.reshape(self.DS, (self.DSnpart/combineints, + self.DS = Num.reshape(self.DS, (self.DSnpart // combineints, combineints, self.DSnsub)) print(Num.shape(self.DS)) self.DS = Num.sum(self.DS, 1) self.DSstart_secs = self.DSstart_secs[::combineints] self.DSintdt *= combineints - self.DSnpart /= combineints + self.DSnpart //= combineints # Combine channels if required if (combinechans > 1): # First chop off any extra channels if (self.nsub % combinechans): - self.DSnsub = (self.nsub/combinechans) * combinechans + self.DSnsub = (self.nsub // combinechans) * combinechans self.DS = self.DS[:,:self.DSnsub] # Now reshape and add the neighboring intervals self.DS = Num.reshape(self.DS, (self.DSnpart, - self.DSnsub/combinechans, combinechans)) + self.DSnsub // combinechans, combinechans)) self.DS = Num.sum(self.DS, 2) self.DSsubfreqs = psr_utils.running_avg(self.subfreqs[:self.DSnsub], combinechans) self.DSsubdeltafreq *= combinechans - self.DSnsub /= combinechans + self.DSnsub //= combinechans print("DS shape = ", Num.shape(self.DS)) # Plot it if required if plot: From bf190647240ec6299180b3b14e36046bf056587e Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 13:57:39 -0800 Subject: [PATCH 054/146] Fixed label bug and improved TOA selection info --- bin/pyplotres.py | 40 +++++++++++++++++----------------------- 1 file changed, 17 insertions(+), 23 deletions(-) diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 47ef71508..c9e2840c2 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -24,8 +24,6 @@ from presto import parfile as par from presto import residuals - - # Available x-axis types xvals = ['mjd', 'year', 'numtoa', 'orbitphase'] xind = 0 @@ -53,7 +51,7 @@ def find_freq_clusters(freqs): maxbins = 8 # related to the max colors defined... df = 4.0 # MHz if ((maxf - minf) < df): # Only a single freq to our resolution - return [[0.0, 'inf']] + return [[0.0, np.inf]] numbins = int((maxf - minf) / df) + 2 lobound = minf - 0.5 * df hibound = lobound + numbins * df @@ -68,17 +66,16 @@ def find_freq_clusters(freqs): # and use these as starting points for kmeans kmeans, indices = kmeans2(freqs, ctrs) if len(kmeans)==1: - return [[0.0, 'inf']] + return [[0.0, np.inf]] elif len(kmeans)==2: - return [[0.0, kmeans.mean()], [kmeans.mean(), 'inf']] + return [[0.0, kmeans.mean()], [kmeans.mean(), np.inf]] else: freqbands = [[0.0, kmeans[0:2].mean()]] for ii in range(len(kmeans)-2): freqbands.append([kmeans[ii:ii+2].mean(), kmeans[ii+1:ii+3].mean()]) - freqbands.append([kmeans[-2:].mean(), 'inf']) + freqbands.append([kmeans[-2:].mean(), np.inf]) return freqbands - class TempoResults(object): def __init__(self, freqbands): """Read TEMPO results (resid2.tmp, tempo.lis, timfile and parfiles) @@ -145,22 +142,16 @@ def get_info(self, freq_label, index, postfit=True): description.append("TOA Selected:") description.append("\tNumber: %s" % r.TOA_index[index][0]) description.append("\tEpoch (MJD): %s" % r.bary_TOA[index][0]) - if yvals[yind] == "phase": - description.append("\tPre-fit residual (phase): %s" % r.prefit_phs[index][0]) - description.append("\tPost-fit residual (phase): %s" % r.postfit_phs[index][0]) - if postfit: - description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.outpar.P0)) - else: - description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.inpar.P0)) - elif yvals[yind] == "usec": - description.append("\tPre-fit residual (usec): %s" % (r.prefit_sec[index][0]*1e6)) - description.append("\tPost-fit residual (usec): %s" % (r.postfit_sec[index][0]*1e6)) - description.append("\tUncertainty (usec): %s" % (r.uncertainty[index][0]*1e6)) - elif yvals[yind] == "sec": - description.append("\tPre-fit residual (sec): %s" % r.prefit_sec[index][0]) - description.append("\tPost-fit residual (sec): %s" % r.postfit_sec[index][0]) - description.append("\tUncertainty (sec): %s" % r.uncertainty[index][0]) description.append("\tFrequency (MHz): %s" % r.bary_freq[index][0]) + description.append("\tPre-fit residual (phase): %s" % r.prefit_phs[index][0]) + description.append("\tPre-fit residual (usec): %s" % (r.prefit_sec[index][0]*1e6)) + description.append("\tPost-fit residual (phase): %s" % r.postfit_phs[index][0]) + description.append("\tPost-fit residual (usec): %s" % (r.postfit_sec[index][0]*1e6)) + if postfit: + description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.outpar.P0)) + else: + description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.inpar.P0)) + description.append("\tUncertainty (usec): %s" % (r.uncertainty[index][0]*1e6)) return description @@ -392,7 +383,7 @@ def get_freq_label(lo, hi): """Return frequency label given a lo and hi frequency pair. """ - if hi is 'inf': + if hi==np.inf: return "%.0f - Inf MHz" % (lo) else: return "%.0f - %.0f MHz" % (lo, hi) @@ -404,12 +395,15 @@ def savefigure(savefn='./resid2.tmp.ps'): def reloadplot(): global options + global tempo_results # Reload residuals and replot print("Plotting...") fig = plt.gcf() fig.set_visible(False) plt.clf() # clear figure tempo_results = TempoResults(options.freqbands) + if options.freqbands is None: + options.freqbands = tempo_results.freqbands try: plot_data(tempo_results, options.xaxis, options.yaxis, \ postfit=options.postfit, prefit=options.prefit, \ From 5b85d8d7d7fab8a09c231ba49a09850170d9ff01 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 14:04:21 -0800 Subject: [PATCH 055/146] Fixed integer division issue --- bin/quickffdots.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/bin/quickffdots.py b/bin/quickffdots.py index 26c20a1e4..ec1a0d4d3 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -84,7 +84,7 @@ argmax = ffd_pows.argmax() maxvals.append(ffd_pows.max()) - maxargs.append((argmax / numrs, argmax % numrs)) + maxargs.append((argmax // numrs, argmax % numrs)) print(" Maximum power for harmonic %d = %.2f"%(harmnum, maxvals[-1])) if (convals.max() < 1.5): # Using relative contours @@ -131,7 +131,7 @@ print("\nMax summed power = %.2f"%(sumpows.max())) argmax = sumpows.argmax() maxr = rs0[argmax % numrs] -maxz = zs0[argmax / numrs] +maxz = zs0[argmax // numrs] maxf = maxr/idata.T maxfd = maxz/(idata.T*idata.T) initf = (maxr - 0.5*maxz)/idata.T From 9818806d2b63138ebb8c55d57825e5063d801006 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 14:09:03 -0800 Subject: [PATCH 056/146] Fixed integer division issue --- python/presto/rfifind.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/presto/rfifind.py b/python/presto/rfifind.py index 2fb1f35e4..52bec34f6 100644 --- a/python/presto/rfifind.py +++ b/python/presto/rfifind.py @@ -145,7 +145,7 @@ def determine_padvals(self, frac_to_keep=0.8): """ # NOTE: Casting to 64/32-bit floats are done to mimick 'mask.c'. num = int(np.round(self.nint*frac_to_keep)) - start = (self.nint - num)/2 + start = (self.nint - num) // 2 self.padvals = np.zeros(self.nchan, dtype='float32') for ichan in range(self.nchan): isort = np.argsort(self.avg_stats[:,ichan]) From d2ae2292f1721c92c9e21a3f2e2255562585846c Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 14:18:00 -0800 Subject: [PATCH 057/146] Fixed legend call --- bin/subband_smearing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bin/subband_smearing.py b/bin/subband_smearing.py index fdcf65937..7cbbd48a8 100755 --- a/bin/subband_smearing.py +++ b/bin/subband_smearing.py @@ -124,7 +124,7 @@ def usage(): leg = ax.legend(('Sampling time', 'Downsampling', 'Channel smear', 'Subband smear', 'Original time res', 'Total time res'), - 'upper center') + loc='upper center') ax.set_xlabel('Disperson Measure') ax.set_ylabel('Smearing (ms)') ax.set_xlim([DMs.min(), DMs.max()]) From 84c3583e003c3e28819571c7eb45f9f19942412c Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 15:03:02 -0800 Subject: [PATCH 058/146] Try getting travis to build presto.so before installing python code --- .travis.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index ee2b0b4d1..eac20b6f7 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,6 +16,8 @@ before_install: install: - docker build . -t ${TARGET} -f .travis/${TARGET}.docker before_script: -- true +- export PRESTO=$PWD +- export LD_LIBRARY_PATH=$PRESTO:$LD_LIBRARY_PATH +- pushd src && make && popd script: - true From 99bcc1fc2dca79d48516f206453c05bbfdc23679 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 16:40:53 -0800 Subject: [PATCH 059/146] removed travis change which didn't work --- .travis.yml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/.travis.yml b/.travis.yml index eac20b6f7..ee2b0b4d1 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,8 +16,6 @@ before_install: install: - docker build . -t ${TARGET} -f .travis/${TARGET}.docker before_script: -- export PRESTO=$PWD -- export LD_LIBRARY_PATH=$PRESTO:$LD_LIBRARY_PATH -- pushd src && make && popd +- true script: - true From 0f4384ba4f3157ee8a873fa2c5c02d3e9a7412f8 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 11:32:32 +0200 Subject: [PATCH 060/146] futurize --stage1 on all py files --- bin/DDplan.py | 39 +- bin/GBNCC_search.py | 27 +- bin/GBT350_drift_prep.py | 33 +- bin/GBT350_drift_search.py | 13 +- bin/GUPPI_drift_prep.py | 45 +- bin/PALFA_presto_search.py | 11 +- bin/dat2tim.py | 3 +- bin/downsample_filterbank.py | 5 +- bin/event_peak.py | 27 +- bin/fb_truncate.py | 15 +- bin/filter_zerolags.py | 5 +- bin/fit_circular_orbit.py | 23 +- bin/fitorb.py | 65 +- bin/get_TOAs.py | 8 +- bin/guppidrift2fil.py | 31 +- bin/injectpsr.py | 47 +- bin/make_spd.py | 3 +- bin/makezaplist.py | 19 +- bin/orbellipsefit.py | 89 +- bin/pfd_for_timing.py | 5 +- bin/plot_spd.py | 5 +- bin/powerstats.py | 85 +- bin/psrfits2fil.py | 29 +- bin/psrfits_quick_bandpass.py | 17 +- bin/pulsestack.py | 121 +-- bin/pygaussfit.py | 41 +- bin/pyplotres.py | 101 +- bin/quickffdots.py | 23 +- bin/rrattrap.py | 9 +- bin/single_pulse_search.py | 17 +- bin/sortwappfiles.py | 7 +- bin/subband_smearing.py | 5 +- bin/sum_profiles.py | 43 +- bin/tim2dat.py | 18 +- lib/python/Pgplot.py | 11 +- lib/python/barycenter.py | 32 +- lib/python/binary_psr.py | 5 +- lib/python/cosine_rand.py | 3 +- lib/python/events.py | 11 +- lib/python/filterbank.py | 11 +- lib/python/injectpsr.py | 1270 ++++++++++++++++++++++- lib/python/kuiper.py | 12 +- lib/python/mpfit.py | 43 +- lib/python/parfile.py | 3 +- lib/python/polycos.py | 2 +- lib/python/prepfold.py | 71 +- lib/python/psr_utils.py | 137 +-- lib/python/psrfits.py | 11 +- lib/python/pypsrcat.py | 9 +- lib/python/residuals.py | 3 +- lib/python/rfifind.py | 27 +- lib/python/sifting.py | 99 +- lib/python/sigproc.py | 19 +- lib/python/simple_roots.py | 27 +- lib/python/sinc_interp.py | 7 +- lib/python/singlepulse/bary_and_topo.py | 7 +- lib/python/singlepulse/make_spd.py | 569 +++++++++- lib/python/singlepulse/plot_spd.py | 530 +++++++++- lib/python/singlepulse/rrattrap.py | 825 ++++++++++++++- lib/python/singlepulse/sp_pgplot.py | 3 +- lib/python/singlepulse/spcand.py | 3 +- lib/python/singlepulse/spio.py | 9 +- python/binopttest/bindata.py | 19 +- python/binopttest/comb.py | 27 +- python/binopttest/montebinopt.py | 49 +- python/binresponses/monte_ffdot.py | 29 +- python/binresponses/monte_short.py | 11 +- python/binresponses/monte_sideb.py | 35 +- python/binresponses/montebinresp.py | 57 +- python/concatdata.py | 65 +- python/dedisp.py | 3 +- python/ffdot_example.py | 3 +- python/fftfit_src/test_fftfit.py | 3 +- python/pdm2raw.py | 9 +- python/ppdot_plane_plot.py | 19 +- python/presto_src/__init__.py | 55 +- python/setup.py | 11 +- python/setup_ppgplot.py | 7 +- python/show_zresp.py | 3 +- python/testcorr.py | 9 +- tests/python/cvec.py | 13 +- 81 files changed, 4244 insertions(+), 976 deletions(-) mode change 120000 => 100755 lib/python/injectpsr.py mode change 120000 => 100755 lib/python/singlepulse/make_spd.py mode change 120000 => 100755 lib/python/singlepulse/plot_spd.py mode change 120000 => 100755 lib/python/singlepulse/rrattrap.py diff --git a/bin/DDplan.py b/bin/DDplan.py index fd64052a0..869aaa344 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function from numpy import * from Pgplot import * @@ -224,36 +225,36 @@ def dm_steps(loDM, hiDM, obs, cohdm=0.0, numsub=0, ok_smearing=0.0, device="/XWI # Minimum smearing across the obs.BW min_BW_smearing = BW_smear(dDM, obs.BW, obs.f_ctr) - print - print "Minimum total smearing : %.3g ms" % min_tot_smearing - print "--------------------------------------------" - print "Minimum channel smearing : %.3g ms" % min_chan_smearing - print "Minimum smearing across BW : %.3g ms" % min_BW_smearing - print "Minimum sample time : %.3g ms" % dtms - print + print() + print("Minimum total smearing : %.3g ms" % min_tot_smearing) + print("--------------------------------------------") + print("Minimum channel smearing : %.3g ms" % min_chan_smearing) + print("Minimum smearing across BW : %.3g ms" % min_BW_smearing) + print("Minimum sample time : %.3g ms" % dtms) + print() ok_smearing = max([ok_smearing, min_chan_smearing, min_BW_smearing, dtms]) - print "Setting the new 'best' resolution to : %.3g ms" % ok_smearing + print("Setting the new 'best' resolution to : %.3g ms" % ok_smearing) # See if the data is too high time resolution for our needs if (ff*min_chan_smearing > dtms or ok_smearing > dtms): if (ok_smearing > ff*min_chan_smearing): - print " Note: ok_smearing > dt (i.e. data is higher resolution than needed)" + print(" Note: ok_smearing > dt (i.e. data is higher resolution than needed)") okval = ok_smearing else: - print " Note: min_chan_smearing > dt (i.e. data is higher resolution than needed)" + print(" Note: min_chan_smearing > dt (i.e. data is higher resolution than needed)") okval = ff*min_chan_smearing while (dtms*allow_downsamps[index_downsamps+1] < okval): index_downsamps += 1 downsamp = allow_downsamps[index_downsamps] - print " New dt is %d x %.12g ms = %.12g ms" % \ - (downsamp, dtms, dtms*downsamp) + print(" New dt is %d x %.12g ms = %.12g ms" % \ + (downsamp, dtms, dtms*downsamp)) # Calculate the appropriate initial dDM dDM = guess_DMstep(obs.dt*downsamp, obs.BW, obs.f_ctr) - print "Best guess for optimal initial dDM is %.3f" % dDM + print("Best guess for optimal initial dDM is %.3f" % dDM) while (allow_dDMs[index_dDMs+1] < ff*dDM): index_dDMs += 1 @@ -344,17 +345,17 @@ def dm_steps(loDM, hiDM, obs, cohdm=0.0, numsub=0, ok_smearing=0.0, device="/XWI ppgplot.pgsci(11) if (numsub): - print "\n Low DM High DM dDM DownSamp dsubDM #DMs DMs/call calls WorkFract" + print("\n Low DM High DM dDM DownSamp dsubDM #DMs DMs/call calls WorkFract") else: - print "\n Low DM High DM dDM DownSamp #DMs WorkFract" + print("\n Low DM High DM dDM DownSamp #DMs WorkFract") for method, fract in zip(methods, work_fracts): - print method, " %.4g" % fract + print(method, " %.4g" % fract) method.plot(fract) - print "\n\n" + print("\n\n") closeplot() def usage(): - print """ + print(""" usage: DDplan.py [options] [-h, --help] : Display this help [-o outfile, --outfile=outfile] : Output .eps plot file (default is xwin) @@ -370,7 +371,7 @@ def usage(): The program generates a good plan for de-dispersing raw data. It trades a small amount of sensitivity in order to save computation costs. -""" +""") if __name__=='__main__': import getopt, sys diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index afb81ede3..298827268 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -227,30 +228,30 @@ def remove_crosslist_duplicate_candidates(candlist1,candlist2): removelist2 = [] candlist2.sort(sifting.cmp_freq) candlist1.sort(sifting.cmp_freq) - print " Searching for crosslist dupes..." + print(" Searching for crosslist dupes...") ii = 0 while ii < n1: jj=0 while jj < n2: if numpy.fabs(candlist1[ii].r-candlist2[jj].r) < sifting.r_err: if sifting.cmp_sigma(candlist1[ii],candlist2[jj])<0: - print "Crosslist remove from candlist 2, %f > %f, %d:%f~%f" % (candlist1[ii].sigma,candlist2[jj].sigma,jj,candlist1[ii].r,candlist2[jj].r) + print("Crosslist remove from candlist 2, %f > %f, %d:%f~%f" % (candlist1[ii].sigma,candlist2[jj].sigma,jj,candlist1[ii].r,candlist2[jj].r)) if jj not in removelist2: removelist2.append(jj) else: - print "Crosslist remove from candlist 1, %f > %f, %d:%f~%f" % (candlist2[jj].sigma,candlist1[ii].sigma,ii,candlist1[ii].r,candlist2[jj].r) + print("Crosslist remove from candlist 1, %f > %f, %d:%f~%f" % (candlist2[jj].sigma,candlist1[ii].sigma,ii,candlist1[ii].r,candlist2[jj].r)) if ii not in removelist1: removelist1.append(ii) jj += 1 ii += 1 for ii in range(len(removelist2)-1,-1,-1): - print "Removing %d from candlist2" % removelist2[ii] + print("Removing %d from candlist2" % removelist2[ii]) del(candlist2[removelist2[ii]]) for ii in range(len(removelist1)-1,-1,-1): - print "Removing %d from candlist1" % removelist1[ii] + print("Removing %d from candlist1" % removelist1[ii]) del(candlist1[removelist1[ii]]) - print "Removed %d crosslist candidates\n" % (len(removelist1)+len(removelist2)) - print "Found %d candidates. Sorting them by significance...\n" % (len(candlist1)+len(candlist2)) + print("Removed %d crosslist candidates\n" % (len(removelist1)+len(removelist2))) + print("Found %d candidates. Sorting them by significance...\n" % (len(candlist1)+len(candlist2))) candlist1.sort(sifting.cmp_sigma) candlist2.sort(sifting.cmp_sigma) return candlist1,candlist2 @@ -264,7 +265,7 @@ def main(fits_filenm, workdir, ddplans): # Get information on the observation and the job job = obs_info(fits_filenm) if job.raw_T < low_T_to_search: - print "The observation is too short (%.2f s) to search."%job.raw_T + print("The observation is too short (%.2f s) to search."%job.raw_T) sys.exit() job.total_time = time.time() if job.dt == 163.84: @@ -287,8 +288,8 @@ def main(fits_filenm, workdir, ddplans): os.makedirs(tmpdir) except: pass - print "\nBeginning GBNCC search of '%s'"%job.fits_filenm - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nBeginning GBNCC search of '%s'"%job.fits_filenm) + print("UTC time is: %s"%(time.asctime(time.gmtime()))) rfifindout=job.basefilenm+"_rfifind.out" rfifindmask=job.basefilenm+"_rfifind.mask" @@ -528,8 +529,8 @@ def main(fits_filenm, workdir, ddplans): # And finish up job.total_time = time.time() - job.total_time - print "\nFinished" - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nFinished") + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # Write the job report @@ -587,4 +588,4 @@ def main(fits_filenm, workdir, ddplans): fits_filenm = sys.argv[1] main(fits_filenm, '.', ddplans) else: - print "GBNCC_search.py fits_filenm [workdir]" + print("GBNCC_search.py fits_filenm [workdir]") diff --git a/bin/GBT350_drift_prep.py b/bin/GBT350_drift_prep.py index ebcdfe827..2d4a37558 100755 --- a/bin/GBT350_drift_prep.py +++ b/bin/GBT350_drift_prep.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, os, random, sigproc import psr_utils as pu @@ -16,10 +17,10 @@ def spigot_samples_per_file(spigot_filenm): if __name__=="__main__": if (len(sys.argv) < 3): - print "usage: GBT350_drift_prep.py NUM spigot_fits_files" - print " NUM is the 'beam' number in the scan. It starts " - print " with 0 and goes to NMAX. If NUM is < 0, NMAX" - print " is sent to STDOUT by the program." + print("usage: GBT350_drift_prep.py NUM spigot_fits_files") + print(" NUM is the 'beam' number in the scan. It starts ") + print(" with 0 and goes to NMAX. If NUM is < 0, NMAX") + print(" is sent to STDOUT by the program.") sys.exit() orig_N = 1728000 # Number of samples to analyze at a time (~141 sec) @@ -35,19 +36,19 @@ def spigot_samples_per_file(spigot_filenm): for ii in range(numinfiles): samps = spigot_samples_per_file(infilenms[ii]) if ((samps < nom_samps_per_file) and (ii < numinfiles-1)): - print "Warning! '%s' only has %d samples!"%\ - (infilenms[ii], samps) - print " You need to fix that file!" + print("Warning! '%s' only has %d samples!"%\ + (infilenms[ii], samps)) + print(" You need to fix that file!") sys.exit(-1) samples_per_file.append(samps) total_samples = sum(samples_per_file) num = int(sys.argv[1]) nmax = total_samples/overlap_samples-1 if num < 0: - print nmax + print(nmax) sys.exit(0) if num > nmax: - print "NUM > NMAX (%d)! Exiting!"%nmax + print("NUM > NMAX (%d)! Exiting!"%nmax) sys.exit(-1) # Now figure out which file is the first @@ -65,12 +66,12 @@ def spigot_samples_per_file(spigot_filenm): if ((raw_N - first_file_samples) % nom_samps_per_file): numfiles += 1 if debug: - print "first_filenum = ", ii - print "1st sample = ", first_sample - print "1st filenam = ", infilenms[ii] - print "skip = ", skip - print "1st_file_samps = ", first_file_samples - print "numfiles = ", numfiles + print("first_filenum = ", ii) + print("1st sample = ", first_sample) + print("1st filenam = ", infilenms[ii]) + print("skip = ", skip) + print("1st_file_samps = ", first_file_samples) + print("numfiles = ", numfiles) break else: accum_samples += samples_per_file[ii] @@ -97,7 +98,7 @@ def spigot_samples_per_file(spigot_filenm): str_coords += "".join(dec_string.split(":")[:2]) filfilenm = "GBT350drift_%d_%s.fil" % (MJDi, str_coords) os.rename(tmpfilenm, filfilenm) - print "Renamed '%s' to '%s'." % (tmpfilenm, filfilenm) + print("Renamed '%s' to '%s'." % (tmpfilenm, filfilenm)) diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index ab101b365..ec9097fcf 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -227,7 +228,7 @@ def main(fil_filenm, workdir, ddplans): # Get information on the observation and the job job = obs_info(fil_filenm) if job.raw_T < low_T_to_search: - print "The observation is too short (%.2f s) to search."%job.raw_T + print("The observation is too short (%.2f s) to search."%job.raw_T) sys.exit() job.total_time = time.time() ddplans = ddplans[job.nchans] @@ -247,8 +248,8 @@ def main(fil_filenm, workdir, ddplans): os.makedirs(tmpdir) except: pass - print "\nBeginning GBT350 driftscan search of '%s'"%job.fil_filenm - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nBeginning GBT350 driftscan search of '%s'"%job.fil_filenm) + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # rfifind the filterbank file cmd = "rfifind -time %.17g -o %s %s > %s_rfifind.out"%\ @@ -479,8 +480,8 @@ def main(fil_filenm, workdir, ddplans): # And finish up job.total_time = time.time() - job.total_time - print "\nFinished" - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nFinished") + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # Write the job report @@ -578,4 +579,4 @@ def main(fil_filenm, workdir, ddplans): fil_filenm = sys.argv[1] main(fil_filenm, '.', ddplans) else: - print "GBT350_drift_search.py fil_filenm [workdir]" + print("GBT350_drift_search.py fil_filenm [workdir]") diff --git a/bin/GUPPI_drift_prep.py b/bin/GUPPI_drift_prep.py index 747babf65..12795029e 100755 --- a/bin/GUPPI_drift_prep.py +++ b/bin/GUPPI_drift_prep.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, os, random, sigproc import psr_utils as pu import pyfits @@ -24,49 +25,49 @@ def guppi_time_per_subint(guppi_filenm): if __name__=="__main__": if (len(sys.argv) < 3): - print "usage: GUPPI_drift_prep.py NUM guppi_fits_files" - print " NUM is the 'beam' number in the scan. It starts " - print " with 0 and goes to NMAX. If NUM is < 0, NMAX" - print " is sent to STDOUT by the program." + print("usage: GUPPI_drift_prep.py NUM guppi_fits_files") + print(" NUM is the 'beam' number in the scan. It starts ") + print(" with 0 and goes to NMAX. If NUM is < 0, NMAX") + print(" is sent to STDOUT by the program.") sys.exit() new_obs_length = 141 #approximate number of seconds we want the new #observations to last infilenms = sys.argv[2:] - print len(infilenms) + print(len(infilenms)) time_subint = guppi_time_per_subint(infilenms[0]) orig_N = int(math.floor(new_obs_length / time_subint)) # Number of subints to analyze at a time (~141 sec) - print orig_N + print(orig_N) raw_N = orig_N # Number of subints to step through .fits files overlap_factor = 0.5 # Overlap each orig_N samples by this fraction overlap_subints = int(orig_N * overlap_factor) - print overlap_subints + print(overlap_subints) nom_subint_per_file = 320 # Now see how much data we have to work with subints_per_file = [] numinfiles = len(infilenms) - print numinfiles + print(numinfiles) for ii in range(numinfiles): subints = guppi_subint_per_file(infilenms[ii]) if ((subints < nom_subint_per_file) and (ii < numinfiles-1)): - print "Warning! '%s' only has %d samples!"%\ - (infilenms[ii], ubints) - print " You need to fix that file!" + print("Warning! '%s' only has %d samples!"%\ + (infilenms[ii], ubints)) + print(" You need to fix that file!") sys.exit(-1) subints_per_file.append(subints) total_subints = sum(subints_per_file) - print total_subints + print(total_subints) num = int(sys.argv[1]) nmax = total_subints/overlap_subints-1 if num < 0: - print nmax + print(nmax) sys.exit(0) if num > nmax: - print "NUM > NMAX (%d)! Exiting!"%nmax + print("NUM > NMAX (%d)! Exiting!"%nmax) sys.exit(-1) # Now figure out which file is the first @@ -84,12 +85,12 @@ def guppi_time_per_subint(guppi_filenm): if ((raw_N - first_file_subints) % nom_subint_per_file): numfiles += 1 if debug: - print "first_filenum = ", ii - print "1st subint = ", first_subint - print "1st filenam = ", infilenms[ii] - print "skip = ", skip - print "1st_file_samps = ", first_file_subints - print "numfiles = ", numfiles + print("first_filenum = ", ii) + print("1st subint = ", first_subint) + print("1st filenam = ", infilenms[ii]) + print("skip = ", skip) + print("1st_file_samps = ", first_file_subints) + print("numfiles = ", numfiles) break else: accum_subints += subints_per_file[ii] @@ -100,7 +101,7 @@ def guppi_time_per_subint(guppi_filenm): (skip, raw_N, tmpfilenm) for goodfile in infilenms[ii:ii+numfiles]: cmd += "%s "%goodfile - print cmd + print(cmd) os.system(cmd) # Now read the header to determine what the correct filename @@ -117,7 +118,7 @@ def guppi_time_per_subint(guppi_filenm): str_coords += "".join(dec_string.split(":")[:2]) filfilenm = "GBT350drift_%d_%s.fil" % (MJDi, str_coords) os.rename(tmpfilenm, filfilenm) - print "Renamed '%s' to '%s'." % (tmpfilenm, filfilenm) + print("Renamed '%s' to '%s'." % (tmpfilenm, filfilenm)) diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index 4daba7546..849fe4852 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import glob, os, os.path, shutil, socket, struct, sys, time, tarfile import numpy, psr_utils, presto, sifting, sigproc @@ -348,7 +349,7 @@ def main(fil_filenm, workdir): # Get information on the observation and the jbo job = obs_info(fil_filenm) if job.T < low_T_to_search: - print "The observation is too short (%.2f s) to search."%job.T + print("The observation is too short (%.2f s) to search."%job.T) sys.exit() job.total_time = time.time() @@ -366,8 +367,8 @@ def main(fil_filenm, workdir): os.makedirs("subbands") except: pass - print "\nBeginning PALFA search of '%s'"%job.fil_filenm - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nBeginning PALFA search of '%s'"%job.fil_filenm) + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # rfifind the filterbank file cmd = "rfifind -time %.17g -o %s %s > %s_rfifind.out"%\ @@ -579,8 +580,8 @@ def main(fil_filenm, workdir): # And finish up job.total_time = time.time() - job.total_time - print "\nFinished" - print "UTC time is: %s"%(time.asctime(time.gmtime())) + print("\nFinished") + print("UTC time is: %s"%(time.asctime(time.gmtime()))) # Write the job report diff --git a/bin/dat2tim.py b/bin/dat2tim.py index 80603f306..07e845f3f 100755 --- a/bin/dat2tim.py +++ b/bin/dat2tim.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import os, struct, presto, sys telescope_ids = {"Fake": 0, "Arecibo": 1, "Ooty": 2, "Nancay": 3, @@ -49,7 +50,7 @@ def infodata_to_sigproc_header(inf): if __name__ == "__main__": if len(sys.argv)==1: - print "\nusage: dat2tim.py file.dat\n" + print("\nusage: dat2tim.py file.dat\n") sys.exit() if sys.argv[1].endswith(".dat"): basefilenm = sys.argv[1][:sys.argv[1].rfind(".dat")] diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index a47e61447..16a270ca9 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -1,10 +1,11 @@ #!/usr/bin/env python +from __future__ import print_function import sys, sigproc import numpy as num if __name__ == "__main__": if len(sys.argv)==1: - print "\nusage: downsample_filterbank_hdr.py DS_fact infile.fil\n" + print("\nusage: downsample_filterbank_hdr.py DS_fact infile.fil\n") sys.exit() DS_fact = int(sys.argv[1]) basefilenm = sys.argv[2][:sys.argv[2].find(".fil")] @@ -45,7 +46,7 @@ infilelen -= infile.tell() numspec = infilelen / nchans if infilelen % nchans: - print "Whoops! File length calculation is not right..." + print("Whoops! File length calculation is not right...") # Now loop over the spectra for ii in xrange(numspec / DS_fact): diff --git a/bin/event_peak.py b/bin/event_peak.py index 1afeb53c1..80007d4a5 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as num import events as evts import sys, kuiper @@ -9,15 +10,15 @@ def calc_phases(events, f, fd): events = num.loadtxt(sys.argv[1]) events.sort() -print "Read %d events from '%s'." % (events.size, sys.argv[1]) +print("Read %d events from '%s'." % (events.size, sys.argv[1])) minT, maxT = events.min(), events.max() events -= minT T = maxT - minT if T > 100: - print "Assuming that the events are in seconds (T = %.1f sec)" % T + print("Assuming that the events are in seconds (T = %.1f sec)" % T) else: events *= 86400.0 - print "Assuming that the events are in days (T = %.3f days)" % T + print("Assuming that the events are in days (T = %.3f days)" % T) T *= 86400.0 fctr = float(sys.argv[2]) @@ -27,9 +28,9 @@ def calc_phases(events, f, fd): dfd = 4.0 / (osamp * T * T) nn = 101 # number of f and fd trials -print "osamp = %d, nn = %d" % (osamp, nn) -print " fd = %g" % df -print "dfd = %g" % dfd +print("osamp = %d, nn = %d" % (osamp, nn)) +print(" fd = %g" % df) +print("dfd = %g" % dfd) n = (nn-1)/2 fs = num.linspace(fctr-n*df, fctr+n*df, nn) @@ -40,7 +41,7 @@ def calc_phases(events, f, fd): minPk = minPh = 1.0 for ii, fd in enumerate(fds): - print ii + print(ii) for jj, f in enumerate(fs): phases = calc_phases(events, f, fd) D, Pk = kuiper.kuiper_uniform_test(phases) @@ -54,21 +55,21 @@ def calc_phases(events, f, fd): if Ph < minPh: minPh, fh, fdh, bestharm = Ph, f, fd, harm -print -print "Min P(kuiper) = %.2e at f = %g, fd = %g" % (minPk, fk, fdk) -print "Min P(h-test) = %.2e at f = %g, fd = %g, (%d harmonics)" % \ - (minPh, fh, fdh, bestharm) +print() +print("Min P(kuiper) = %.2e at f = %g, fd = %g" % (minPk, fk, fdk)) +print("Min P(h-test) = %.2e at f = %g, fd = %g, (%d harmonics)" % \ + (minPh, fh, fdh, bestharm)) sigmas = num.asarray([3.0, 5.0, 7.0]) contours = num.log10(1.0-evts.gauss_sigma_to_prob(sigmas))[::-1] -print "Kuiper" +print("Kuiper") plot2d(num.log10(kuipers), fs, fds, labx="Frequency (Hz)", laby="F-dot (Hz/s)") #contours=contours, color='black', width=6) closeplot() -print "H-test" +print("H-test") plot2d(num.log10(htests), fs, fds, labx="Frequency (Hz)", laby="F-dot (Hz/s)") #contours=contours, color='black') diff --git a/bin/fb_truncate.py b/bin/fb_truncate.py index a312fe9d3..28dda5fea 100755 --- a/bin/fb_truncate.py +++ b/bin/fb_truncate.py @@ -5,6 +5,7 @@ Patrick Lazarus, Aug 27, 2012 """ +from __future__ import print_function import sys import copy @@ -20,7 +21,7 @@ def main(): infn = args[0] - print "Reading filterbank file (%s)" % infn + print("Reading filterbank file (%s)" % infn) fil = filterbank.FilterbankFile(infn) if options.start_time is None: startbin = 0 @@ -67,15 +68,15 @@ def main(): raise ValueError("Bad number of channels to be written (%d). " \ "Check lo/hi frequencies." % new_nchans) - print "Will extract" - print " %d bins (%d to %d incl.)" % (new_nspec, startbin, endbin-1) - print " (Original num bins: %d)" % fil.nspec - print " %d channels (%d to %d incl.)" % (new_nchans, lochan, hichan-1) - print " (Original num chans: %d)" % fil.nchans + print("Will extract") + print(" %d bins (%d to %d incl.)" % (new_nspec, startbin, endbin-1)) + print(" (Original num bins: %d)" % fil.nspec) + print(" %d channels (%d to %d incl.)" % (new_nchans, lochan, hichan-1)) + print(" (Original num chans: %d)" % fil.nchans) # Create output file outfn = options.outname % fil.header - print "Creating out file: %s" % outfn + print("Creating out file: %s" % outfn) outhdr = copy.deepcopy(fil.header) outhdr['nchans'] = new_nchans outhdr['fch1'] = fil.frequencies[lochan] diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index d46d25b56..4e4c5dd20 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as N import sys, scipy.io, scipy.signal @@ -69,10 +70,10 @@ break_points = break_points[:num_bps] break_points.sort() detrend_zls = scipy.signal.detrend(zls, bp=break_points) - print "%s: Found %d breakpoints for detrending "%(basename, num_bps), break_points + print("%s: Found %d breakpoints for detrending "%(basename, num_bps), break_points) else: detrend_zls = scipy.signal.detrend(zls) - print "%s: Found 0 breakpoints for detrending"%basename + print("%s: Found 0 breakpoints for detrending"%basename) # Now high-pass filter the data to get rid of the not-so-drastic # power fluctuations diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index 758a46417..e137114a7 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as num import psr_utils as pu import parfile, bestprof, sys @@ -29,13 +30,13 @@ def parse_eph(filenm): epoch = x.PEPOCH T = (x.FINISH - x.START) * 86400.0 else: - print "I don't recognize the file type for", filenm + print("I don't recognize the file type for", filenm) sys.exit() newts = epoch + num.arange(int(T/10.0+0.5), dtype=num.float)/8640.0 time = num.concatenate((time, newts)) newps = 1.0 / pu.calc_freq(newts, epoch, *fs) period = num.concatenate((period, newps)) - print "%13.7f (%0.1f sec): " % (epoch, T), fs + print("%13.7f (%0.1f sec): " % (epoch, T), fs) def orbeqn(Ppxt, times): # P = Ppsr, p = Porb, x = a*sin(i)/s, t = T_o @@ -47,7 +48,7 @@ def funct(Ppxt, times, measured): if __name__ == '__main__': if len(sys.argv)==1: - print "\nusage: fit_circular_orbit.py P_psr P_orb X_orb parfiles or bestprofs" + print("\nusage: fit_circular_orbit.py P_psr P_orb X_orb parfiles or bestprofs") exit(0) Ppsr = float(sys.argv[1]) Porb = float(sys.argv[2])*86400.0 @@ -61,17 +62,17 @@ def funct(Ppxt, times, measured): To = ret[0][3] if (ret[0][2] < 0.0): - print "Modifying TO because of negative asini/c..." + print("Modifying TO because of negative asini/c...") ret[0][3] += 0.5 * (ret[0][1]/86400.0) ret[0][2] = abs(ret[0][2]) - print "P_orb = %.3f hrs" % (ret[0][1]/3600.0) - print "P0 %17.15g 1" % ret[0][0] - print "PB %17.15g 1" % (ret[0][1]/86400.0) - print "A1 %17.15g 1" % ret[0][2] - print "T0 %17.15g 1" % ret[0][3] - print "E 0.0" - print "OM 0.0" + print("P_orb = %.3f hrs" % (ret[0][1]/3600.0)) + print("P0 %17.15g 1" % ret[0][0]) + print("PB %17.15g 1" % (ret[0][1]/86400.0)) + print("A1 %17.15g 1" % ret[0][2]) + print("T0 %17.15g 1" % ret[0][3]) + print("E 0.0") + print("OM 0.0") T = max(time)-min(time) model_time = num.arange(min(time)-0.1*T, max(time)+0.1*T, 0.01) diff --git a/bin/fitorb.py b/bin/fitorb.py index 09a2fcaf1..70776a4ce 100755 --- a/bin/fitorb.py +++ b/bin/fitorb.py @@ -3,6 +3,7 @@ """ fitorb: A non-linear optimizer for solving pulsar orbits by Ryan Lynch """ +from __future__ import print_function from numpy import * from mpfit import mpfit @@ -16,7 +17,7 @@ # begin function definitions def print_usage(): - print """ + print(""" A non-linear least-squares optimizer for solving pulsar orbits Usage: fitorb.py [-p p] [-pb pb] [-x x] [-T0 T0] [-e e] [-w w] [-par par_file] [-nofit const_params] bestprof_files @@ -37,7 +38,7 @@ def print_usage(): -o: Root of the output file name(s) (default = "fitorb") bestprof_files: prepfold .bestprof files containing measurements of p and p-dot (and possibly p-ddot) - """ + """) return None @@ -66,7 +67,7 @@ def parse_cmd_line(args): # check to make sure all arguments are valid if (arg.startswith("-")) and (arg not in valid_args) and \ not arg.strip("-").replace(".","").isdigit(): - print "ERROR: Unknown arg %s"%arg + print("ERROR: Unknown arg %s"%arg) print_usage() exit(0) @@ -90,46 +91,46 @@ def parse_cmd_line(args): e = par.E w = par.OM except IOError: - print "ERROR: %s not found\n"%par_file_name + print("ERROR: %s not found\n"%par_file_name) exit(0) except AttributeError: - print "ERROR: %s does not appear to be a valid binary .par file\n" \ - %par_file_name + print("ERROR: %s does not appear to be a valid binary .par file\n" \ + %par_file_name) exit(0) else: try: p = float(args.pop(args.index("-p")+1)) args.remove("-p") except ValueError: - print "ERROR: You must specify a spin period\n" + print("ERROR: You must specify a spin period\n") exit(0) try: pb_days = float(args.pop(args.index("-pb")+1)) args.remove("-pb") except ValueError: - print "ERROR: You must specify an orbital period\n" + print("ERROR: You must specify an orbital period\n") exit(0) try: x = float(args.pop(args.index("-x")+1)) args.remove("-x") except ValueError: - print "ERROR: You must specify a projected semi-major axis\n" + print("ERROR: You must specify a projected semi-major axis\n") exit(0) try: T0 = float(args.pop(args.index("-T0")+1)) args.remove("-T0") except ValueError: - print "ERROR: You must specify a time of periastron passage\n" + print("ERROR: You must specify a time of periastron passage\n") exit(0) try: e = float(args.pop(args.index("-e")+1)) args.remove("-e") except ValueError: - print "WARNING: Orbital eccentricity not specified, assuming e = 0\n" + print("WARNING: Orbital eccentricity not specified, assuming e = 0\n") e = 0.0 const_params = const_params + ",e" pass @@ -138,7 +139,7 @@ def parse_cmd_line(args): w = float(args.pop(args.index("-w")+1)) args.remove("-w") except ValueError: - print "WARNING: Longitude of periastron not specified, assuming w = 0\n" + print("WARNING: Longitude of periastron not specified, assuming w = 0\n") w = 0.0 const_params = const_params + ",w" pass @@ -255,7 +256,7 @@ def get_params_info(params_start, const_params): # upper and low limits (used if "limited" is "True" "limits":[0.9*params_start[0],1.1*params_start[0]], "fixed":True}) # parameter fixed? - print "Holding spin period constant" + print("Holding spin period constant") else: params_info.append({"parname":"p", "value":params_start[0], @@ -269,7 +270,7 @@ def get_params_info(params_start, const_params): "limited":[True,False], "limits":[0.0,0.0], "fixed":True}) - print "Holding orbital period constant" + print("Holding orbital period constant") else: params_info.append({"parname":"pb", "value":params_start[1], @@ -283,7 +284,7 @@ def get_params_info(params_start, const_params): "limited":[True,False], "limits":[0.0,0.0], "fixed":True}) - print "Holding projected semi-major axis constant" + print("Holding projected semi-major axis constant") else: params_info.append({"parname":"x", "value":params_start[2], @@ -298,7 +299,7 @@ def get_params_info(params_start, const_params): "limits":[params_start[3] - params_start[1]/SECPERDAY, params_start[3] + params_start[1]/SECPERDAY], "fixed":True}) - print "Holding time of periastron passage constant" + print("Holding time of periastron passage constant") else: params_info.append({"parname":"T0", "value":params_start[3], @@ -313,7 +314,7 @@ def get_params_info(params_start, const_params): "limited":[True,True], "limits":[0.0,1.0], "fixed":True}) - print "Holding eccentricity constant" + print("Holding eccentricity constant") else: params_info.append({"parname":"e", "value":params_start[4], @@ -327,7 +328,7 @@ def get_params_info(params_start, const_params): "limited":[True,True], "limits":[0.0,360.0], "fixed":True}) - print "Holding longitude of periastron constant" + print("Holding longitude of periastron constant") else: params_info.append({"parname":"w", "value":params_start[5], @@ -351,7 +352,7 @@ def myasarray(a): a - modified python array """ - if type(a) in [type(1.0),type(1L),type(1),type(1j)]: + if type(a) in [type(1.0),type(1),type(1),type(1j)]: a = asarray([a]) if len(a) == 0: a = asarray([a]) @@ -468,7 +469,7 @@ def plot_file_panel(in_file,params): t = minute*60.0 time.append(minute/1440.0) period.append(p0 + t*(p1 + 0.5*t*p2)) - print "Plotting: file, epoch, Tobs",in_file,epoch,T + print("Plotting: file, epoch, Tobs",in_file,epoch,T) period = asarray(period) time = asarray(time) plot(time,period*1000.0,'o') @@ -594,20 +595,20 @@ def funct(params, fjac=None, times=None, measured=None): # do the actual fitting ret = mpfit(funct, functkw={"times":time, "measured":period}, parinfo=params_info, iterfunct=None) -print "\nmpfit exited with status %i (1--4 is OK)\n"%ret.status +print("\nmpfit exited with status %i (1--4 is OK)\n"%ret.status) # print the parameters in a tempo .par file format -print "PEPOCH %17.15g"%epoch -print "P0 %17.15g"%ret.params[0] -print "BINARY BT" -print "A1 %17.15g"%ret.params[2] -print "E %17.15g"%ret.params[4] -print "T0 %17.15g"%(ret.params[3]+0.5*ret.params[0]/SECPERDAY) -print "PB %17.15g"%(ret.params[1]/SECPERDAY) -print "OM %17.15g"%ret.params[5] -print - -print "Generating plots..." +print("PEPOCH %17.15g"%epoch) +print("P0 %17.15g"%ret.params[0]) +print("BINARY BT") +print("A1 %17.15g"%ret.params[2]) +print("E %17.15g"%ret.params[4]) +print("T0 %17.15g"%(ret.params[3]+0.5*ret.params[0]/SECPERDAY)) +print("PB %17.15g"%(ret.params[1]/SECPERDAY)) +print("OM %17.15g"%ret.params[5]) +print() + +print("Generating plots...") # make the plots... diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index 5d48932e8..730d4c6b1 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import struct, getopt, sys, fftfit, psr_utils import numpy as Num from infodata import infodata @@ -273,7 +274,7 @@ def usage(): # Read the polyco file (if required) if (fold.psr and fold.topo): - if (fold_pfd.__dict__.has_key("polycos") and + if ("polycos" in fold_pfd.__dict__ and not fold_pfd.polycos==0): pcs = fold_pfd.polycos else: @@ -290,7 +291,7 @@ def usage(): # if t2format: - print "FORMAT 1" + print("FORMAT 1") for ii in range(numtoas): @@ -397,5 +398,6 @@ def usage(): sys.stderr.write("FFTFIT results: b = %.4g +/- %.4g SNR = %.4g +/- %.4g" % (b, errb, snr, esnr)) - except ValueError, fftfit.error: + except ValueError as xxx_todo_changeme: + fftfit.error = xxx_todo_changeme pass diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 9a523864d..1745341af 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -1,6 +1,7 @@ #!/usr/bin/env python #Begun on 2/13/2014 from a copy of psrfits2fil.py //NEG-D// +from __future__ import print_function import numpy as np import pyfits import filterbank @@ -216,8 +217,8 @@ def main(fits_fn, outfn, nbits, \ # band will need to be flipped if firstfits['SUBINT'].header['CHAN_BW'] > 0: flip_band=True - print "\nFits file frequencies in ascending order." - print "\tFlipping frequency band.\n" + print("\nFits file frequencies in ascending order.") + print("\tFlipping frequency band.\n") else: flip_band=False @@ -227,35 +228,35 @@ def main(fits_fn, outfn, nbits, \ raise ValueError('Does not support %d-bit data' % input_nbits) if nbits != 32: - print "\nCalculating statistics on first subintegration..." + print("\nCalculating statistics on first subintegration...") subint0 = read_subint(firstfits,0,nchan,nsamps, \ apply_weights, apply_scales, apply_offsets, \ input_nbits=input_nbits) #new_max = np.mean(subint0) + 3*np.std(subint0) new_max = 3 * np.median(subint0) - print "\t3*median =",new_max + print("\t3*median =",new_max) if new_max > 2.0**nbits: scale = True scale_fac = new_max / ( 2.0**nbits ) - print "\tScaling data by",1/scale_fac - print "\tValues larger than",new_max,"(pre-scaling) "\ - "will be set to",2.0**nbits - 1,"\n" + print("\tScaling data by",1/scale_fac) + print("\tValues larger than",new_max,"(pre-scaling) "\ + "will be set to",2.0**nbits - 1,"\n") else: scale = False scale_fac = 1 - print "\tNo scaling necessary" - print "\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ - "be set to ",2.0**nbits-1,"\n" + print("\tNo scaling necessary") + print("\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ + "be set to ",2.0**nbits-1,"\n") else: scale_fac = 1 - print "\nNo scaling necessary for 32-bit float output file." + print("\nNo scaling necessary for 32-bit float output file.") firstfits.close() fits = [pyfits.open(filename,memmap=True) for filename in fits_fn] - print "Writing data..." + print("Writing data...") sys.stdout.flush() oldpcnt = "" for i in range(skip+1,output_subints+skip+1): @@ -273,10 +274,10 @@ def main(fits_fn, outfn, nbits, \ sys.stdout.write("% 4s%% complete\r" % pcnt) sys.stdout.flush() - print "Done " + print("Done ") outfil.close() - print "Runtime:",time.time() - start + print("Runtime:",time.time() - start) if __name__=='__main__': parser = optparse.OptionParser(prog='guppidrift2fil.py', \ @@ -309,7 +310,7 @@ def main(fits_fn, outfn, nbits, \ fits_fn = args - print fits_fn + print(fits_fn) if options.outfn: outfn = options.outfn diff --git a/bin/injectpsr.py b/bin/injectpsr.py index ea0d41f4c..77c2c43ef 100755 --- a/bin/injectpsr.py +++ b/bin/injectpsr.py @@ -5,6 +5,7 @@ Patrick Lazarus, June 26, 2012 """ +from __future__ import print_function import sys import argparse import warnings @@ -546,8 +547,8 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ weq = inprof.get_equivalent_width() nfreqs = len(freqs) if verbose: - print "Applying DM to profile (DM = %.2f; %d channels)..." % \ - (dm, nfreqs) + print("Applying DM to profile (DM = %.2f; %d channels)..." % \ + (dm, nfreqs)) # A list of profiles, one for each channel profiles = [] @@ -573,9 +574,9 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ if DEBUG: for ichan, (freq, smear, scatt, delay) in \ enumerate(zip(freqs, smearphases, scatterphases, phasedelays)): - print " Chan #%d - Freq: %.3f MHz -- " \ + print(" Chan #%d - Freq: %.3f MHz -- " \ "Smearing, scattering, delay (all in phase): " \ - "%g, %g, %g" % (ichan, freq, smear, scatt, delay) + "%g, %g, %g" % (ichan, freq, smear, scatt, delay)) oldprogress = 0 sys.stdout.write(" %3.0f %%\r" % oldprogress) sys.stdout.flush() @@ -606,7 +607,7 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ # else: # ylim2 = ax2.get_ylim() if DEBUG: - print "Smearing" + print("Smearing") tmpprof = inprof.smear(smearphs, delayphs, npts=NUMPOINTS) else: tmpprof = inprof.delay(delayphs) @@ -628,7 +629,7 @@ def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ # else: # ylim4 = ax4.get_ylim() if DEBUG: - print "Scattering" + print("Scattering") tmpprof = tmpprof.scatter(scattphs, npts=NUMPOINTS) # ax5 = plt.subplot(5,1,5,sharex=ax) # tmpprof.plot() @@ -793,9 +794,9 @@ def scale_from_snr(fil, prof, snr, rms): profmax = prof.get_max() scale = snr*rms/fil.nchans/np.sqrt(fil.nspec*profmax*area) - print "Average area %s, average profile maximum: %s" % \ - (np.mean(area), np.mean(profmax)) - print "Average recommended scale factor: %s" % np.mean(scale) + print("Average area %s, average profile maximum: %s" % \ + (np.mean(area), np.mean(profmax))) + print("Average recommended scale factor: %s" % np.mean(scale)) return scale @@ -824,8 +825,8 @@ def snr_from_smean(fil, prof, smean, gain, tsys): # Target SNR warnings.warn("Assuming 2 (summed) polarizations.") snr = smean*gain*np.sqrt(2*tint*bw)/tsys*np.sqrt(1/dutycycle-1) - print "Expected SNR of injected pulsar signal (after folding " \ - "and integrating over frequency): %s" % snr + print("Expected SNR of injected pulsar signal (after folding " \ + "and integrating over frequency): %s" % snr) return snr @@ -837,7 +838,7 @@ def inject(infile, outfn, prof, period, dm, nbitsout=None, fil = filterbank.FilterbankFile(infile, 'readwrite') else: fil = filterbank.FilterbankFile(infile, 'read') - print "Injecting pulsar signal into: %s" % fil.filename + print("Injecting pulsar signal into: %s" % fil.filename) if False: delays = psr_utils.delay_from_DM(dm, fil.frequencies) delays -= delays[np.argmax(fil.frequencies)] @@ -853,7 +854,7 @@ def inject(infile, outfn, prof, period, dm, nbitsout=None, outfil = fil else: # Start an output file - print "Creating out file: %s" % outfn + print("Creating out file: %s" % outfn) outfil = filterbank.create_filterbank_file(outfn, fil.header, \ nbits=nbitsout, mode='append') @@ -930,7 +931,7 @@ def inject(infile, outfn, prof, period, dm, nbitsout=None, def load_profile(infn, verbose=True): if verbose: - print "Loading profile from file (%s)" % infn + print("Loading profile from file (%s)" % infn) data = np.load(infn) profiles = [] for key in sorted(data.keys()): @@ -942,8 +943,8 @@ def load_profile(infn, verbose=True): def save_profile(prof, outfn, verbose=True): if verbose: - print "Writing %s instance to file (%s)" % \ - (type(prof).__name__, outfn) + print("Writing %s instance to file (%s)" % \ + (type(prof).__name__, outfn)) outfile = open(outfn, 'wb') profvals = {} for ii, pp in enumerate(prof.profiles): @@ -1074,7 +1075,7 @@ def scale_profile(prof, scale_name, scale_cfgstrs, fil, verbose=True): scale_getter = SCALE_METHODS[scale_name] scaling = scale_getter(fil, prof, scale_cfgstrs) if verbose: - print "Band-averaged scale-factor: %g" % np.ma.masked_invalid(scaling).mean() + print("Band-averaged scale-factor: %g" % np.ma.masked_invalid(scaling).mean()) prof.set_scaling(scaling) @@ -1088,11 +1089,11 @@ def make_profile(vonmises, verbose=True): comps = create_vonmises_components(vonmises) prof = MultiComponentProfile(comps) if verbose: - print "Creating profile. Number of components: %d" % len(comps) - print "Profile area (intensity x phase): %g" % prof.get_area() - print "Equivalent width (phase): %g" % prof.get_equivalent_width() - print "FWHM (phase): %g" % prof.get_fwhm() - print "Profile maximum: %g" % prof.get_max() + print("Creating profile. Number of components: %d" % len(comps)) + print("Profile area (intensity x phase): %g" % prof.get_area()) + print("Equivalent width (phase): %g" % prof.get_equivalent_width()) + print("FWHM (phase): %g" % prof.get_fwhm()) + print("Profile maximum: %g" % prof.get_max()) prof = get_spline_profile(prof) return prof @@ -1117,7 +1118,7 @@ def main(): save_profile(prof, args.outprof) outfn = args.outname % fil.header - print "Showing plot of profile to be injected..." + print("Showing plot of profile to be injected...") plt.figure() plt.clf() prof.plot(dedisp=True) diff --git a/bin/make_spd.py b/bin/make_spd.py index 19a629f18..845cff295 100755 --- a/bin/make_spd.py +++ b/bin/make_spd.py @@ -10,6 +10,7 @@ Chitrang Patel - May. 21, 2015 -- Updated on June 10 2016 """ +from __future__ import print_function import sys import copy @@ -30,7 +31,7 @@ DEBUG = True def print_debug(msg): if DEBUG: - print msg + print(msg) def waterfall_array(rawdatafile, start, duration, dm, nbins, nsub, subdm, zerodm, \ downsamp, scaleindep, width_bins, mask, maskfn, bandpass_corr): diff --git a/bin/makezaplist.py b/bin/makezaplist.py index 285480e09..b9ef034b8 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -1,5 +1,6 @@ #!/usr/bin/env python +from __future__ import print_function from sys import argv, exit from string import index from presto import * @@ -22,7 +23,7 @@ def processbirds(filename): try: ii = index(filename, ".birds") except ValueError: - print "\nThe birdie filename must end in '.birds'\n" + print("\nThe birdie filename must end in '.birds'\n") exit(0) else: rootname = filename[:ii] @@ -30,7 +31,7 @@ def processbirds(filename): freqs = 0 trains = 0 birds = [] - print "\nProcessing the birds..." + print("\nProcessing the birds...") info = read_inffile(rootname) T = info.dt * info.N; # PSRs get 40 bins minimum zapped (overkill for most, @@ -82,9 +83,9 @@ def processbirds(filename): else: freqs += 1 birds.append(bird(float(words[0]), float(words[1]))) - print "\nRead %d freqs, %d pulsars, and %d harmonic series." % \ - (freqs, psrs, trains) - print "Total number of birdies = %d" % (len(birds)) + print("\nRead %d freqs, %d pulsars, and %d harmonic series." % \ + (freqs, psrs, trains)) + print("Total number of birdies = %d" % (len(birds))) birds.sort() file.close() file = open(rootname+".zaplist", "w") @@ -96,12 +97,12 @@ def processbirds(filename): for birdie in birds: file.write(str(birdie)) file.close() - print "\nWrote '%s'\n" % (rootname+".zaplist") + print("\nWrote '%s'\n" % (rootname+".zaplist")) if __name__ == '__main__': if len(argv)==1: - print "\nusage: makezaplist.py birdsfilename" - print " Note: 'birdsfilename' must end in '.birds'\n" - print " and a related infofile ('.inf') must exist.\n" + print("\nusage: makezaplist.py birdsfilename") + print(" Note: 'birdsfilename' must end in '.birds'\n") + print(" and a related infofile ('.inf') must exist.\n") else: processbirds(argv[1]) diff --git a/bin/orbellipsefit.py b/bin/orbellipsefit.py index 48ae86ae2..a6eb4f5f3 100755 --- a/bin/orbellipsefit.py +++ b/bin/orbellipsefit.py @@ -5,6 +5,7 @@ # Inputs are a set of .bestprof files or .par files from which the P0 and P1 (or F0 and F1) values # and their errors are read. It can ignore points with too large an F1 error # +from __future__ import print_function from numpy import * from pylab import * from psr_utils import * @@ -62,11 +63,11 @@ def read_bestprof(filename,f1errmax=999.0): else: break f0,f0err,f1,f1err = pferrs(p0,p0err,p1,p1err) - print "%.4f %10.9g %8.3g %10.5g %8.3g" % (epoch,f0,f0err,f1,f1err), + print("%.4f %10.9g %8.3g %10.5g %8.3g" % (epoch,f0,f0err,f1,f1err), end=' ') if (f1err > f1errmax): - print " * Ignored *" + print(" * Ignored *") else: - print + print() #print "----- ",filename @@ -99,17 +100,17 @@ def read_par(pfname,f1errmax=999.0): mjd = pf.PEPOCH if (verbose): # print "%6s: %.4f F0 %10.9g +/- %8.03g F1 %10.5g +/- %8.03g" % (pfname,mjd,f0,f0err,f1,f1err) - print "%.4f %10.9g %8.3g %10.5g %8.3g" % (mjd,f0,f0err,f1,f1err), + print("%.4f %10.9g %8.3g %10.5g %8.3g" % (mjd,f0,f0err,f1,f1err), end=' ') if (f1err > f1errmax): - print " * Ignored *" + print(" * Ignored *") else: - print + print() # print " P0 = %g, P1 = %g" % (p0,p1) - print "----- ",pfname - print "PEPOCH ",mjd - print "F0 ", f0 - print "F1 ", f1 + print("----- ",pfname) + print("PEPOCH ",mjd) + print("F0 ", f0) + print("F1 ", f1) return mjd,f0,f0err,f1,f1err @@ -122,7 +123,7 @@ def readPeriodAccelFromPars(parfilelist,f1errmax=3.0e-6): f1errs = [] accs = [] if (verbose): - print "MJD F0 F0_err F1 F1_err" + print("MJD F0 F0_err F1 F1_err") for fn in argv[1:]: if fn.endswith('.bestprof'): mjd,Tobs,f0,f0err,f1,f1err = read_bestprof(fn,f1errmax) @@ -212,15 +213,15 @@ def fitellipse(mjds, accs,accerrs,ps,P0_init,Porb_init,X_init): # First read the periods and accelerations from the parfiles parfilelist = argv[1:] if len(parfilelist)<1: - print "No par files specified" + print("No par files specified") sys.exit(1) mjds,ps,perrs,accs,accerrs = readPeriodAccelFromPars(parfilelist, f1errmax=3.0e-7) - print + print() - print "MJD :",mjds - print "accs :",accs - print "accerrs :",accerrs + print("MJD :",mjds) + print("accs :",accs) + print("accerrs :",accerrs) # Now setup initial parameter values based on observed periods and accs P0_init = ps.mean() @@ -231,34 +232,34 @@ def fitellipse(mjds, accs,accerrs,ps,P0_init,Porb_init,X_init): vmin = cspeed*(ps.min()/P0_init - 1) vmax = cspeed*(ps.max()/P0_init - 1) - print "vmin = %.2f km/s" % (vmin/1000.0,) - print "vmax = %.2f km/s" % (vmax/1000.0,) + print("vmin = %.2f km/s" % (vmin/1000.0,)) + print("vmax = %.2f km/s" % (vmax/1000.0,)) - print "amin = %.4f m/s^2" % (accs.min(),) - print "amax = %.4f m/s^2" % (accs.max(),) + print("amin = %.4f m/s^2" % (accs.min(),)) + print("amax = %.4f m/s^2" % (accs.max(),)) - print "pmin = %.6f ms" % (1000.0*ps.min(),) - print "pmax = %.6f ms" % (1000.0*ps.max(),) + print("pmin = %.6f ms" % (1000.0*ps.min(),)) + print("pmax = %.6f ms" % (1000.0*ps.max(),)) - print "Initial Values:" - print " P0 = ",P0_init - print " Porb = %g s (%.3f days)" % (Porb_init,Porb_init/86400.0) - print " X = ",X_init - print " A1 = ",A1_init - print " P1 = ",P1_init - print + print("Initial Values:") + print(" P0 = ",P0_init) + print(" Porb = %g s (%.3f days)" % (Porb_init,Porb_init/86400.0)) + print(" X = ",X_init) + print(" A1 = ",A1_init) + print(" P1 = ",P1_init) + print() # If enough points, do the ellipse fit if len(mjds)>=3: P0, Porb, X, A1, P1 = fitellipse(mjds,accs,accerrs,ps,P0_init,Porb_init,X_init) - print "Fitted Values:" - print " P0 = ",P0 - print " Porb = %g s (%.3f days)" % (Porb, Porb/86400.0) - print " X = ",X - print " A1 = ",A1 - print " P1 = ",P1 + print("Fitted Values:") + print(" P0 = ",P0) + print(" Porb = %g s (%.3f days)" % (Porb, Porb/86400.0)) + print(" X = ",X) + print(" A1 = ",A1) + print(" P1 = ",P1) #print "Mcomp,min = ",companion_mass_limit(Porb/86400.0,X) else: A1 = 0.0 @@ -298,15 +299,15 @@ def fitellipse(mjds, accs,accerrs,ps,P0_init,Porb_init,X_init): #xlabel('Time (MJD)') #grid(1) - print - print "PAR file of fit: " + print() + print("PAR file of fit: ") - print "P0 %.15f" % P0 - print "BINARY BT" - print "PB %.8f" % Porb_days - print "A1 %.6f" % X - print "T0 %.6f" % T0 - print "OM 0.0" - print "E 0.0" + print("P0 %.15f" % P0) + print("BINARY BT") + print("PB %.8f" % Porb_days) + print("A1 %.6f" % X) + print("T0 %.6f" % T0) + print("OM 0.0") + print("E 0.0") show() diff --git a/bin/pfd_for_timing.py b/bin/pfd_for_timing.py index ab1e79491..b833243b3 100755 --- a/bin/pfd_for_timing.py +++ b/bin/pfd_for_timing.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, prepfold if len(sys.argv) == 1: @@ -11,8 +12,8 @@ try: pfd = prepfold.pfd(pfdfile) if pfd.use_for_timing(): - print "%s: true"%pfdfile + print("%s: true"%pfdfile) else: - print "%s: false"%pfdfile + print("%s: false"%pfdfile) except: sys.stderr.write("Error: Can't check '%s'\n"%pfdfile) diff --git a/bin/plot_spd.py b/bin/plot_spd.py index c92a4cee7..79a5c1a1a 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -8,6 +8,7 @@ Chitrang Patel - June 10, 2016. """ +from __future__ import print_function import numpy as np import optparse import tarfile @@ -301,7 +302,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") # DM vs Time - print "Making arrays for DM vs time plot" + print("Making arrays for DM vs time plot") spfiles = singlepulsefiles threshold = 5.0 if len(spfiles) > 2: @@ -314,7 +315,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal dms, times, sigmas, widths, filelist = spio.gen_arrays(dm_arr, spfiles, tar, threshold) sp_pgplot.dm_time_plot(dms, times, sigmas, dm_list, sigma_arr, time_list, Total_observed_time, xwin) else: - print "You need a .singlepulse.tgz file to plot DM vs Time plot." + print("You need a .singlepulse.tgz file to plot DM vs Time plot.") if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) else: diff --git a/bin/powerstats.py b/bin/powerstats.py index 541d1cd98..034a8fe62 100755 --- a/bin/powerstats.py +++ b/bin/powerstats.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as Num from events import * @@ -15,7 +16,7 @@ def ask_float(question, default=None): try: return float(ans) except (ValueError, TypeError): - print "\nThat was not a valid number. Try again...\n" + print("\nThat was not a valid number. Try again...\n") def ask_int(question, default=None): while 1: @@ -25,10 +26,10 @@ def ask_int(question, default=None): try: return int(ans) except (ValueError, TypeError): - print "\nThat was not a valid number. Try again...\n" + print("\nThat was not a valid number. Try again...\n") if __name__ == '__main__': - print "\nPower Statistics Calculation Routine" + print("\nPower Statistics Calculation Routine") conf = ask_float(\ "What confidence level would you like to use? [0.99] ", 0.99) @@ -62,7 +63,7 @@ def ask_int(question, default=None): trial_freqs = (10.0**(Num.arange(7.0)-2.0)).tolist() trial_freqs = filter(lambda x: x > lofreq and x < hifreq, trial_freqs) - print "\nThe trial frequencies (Hz) are:", trial_freqs + print("\nThe trial frequencies (Hz) are:", trial_freqs) if answer_yes(\ "Would you like to add any more? [y] "): new_freq = ask_float(\ @@ -72,56 +73,56 @@ def ask_int(question, default=None): new_freq = ask_float(\ "Enter a frequency (Hz) or '0' to stop. ") trial_freqs.sort() - print "\n\nCalculating...\n\n" - print "" - print " Power Stats for Binned Data" - print " -----------------------------------" - print " Number of data points = %.0f" % Ntot - print " Time per sample (s) = %g" % dt - print " Total number of photons = %.0f" % numphot - print " Confidence Level = %g%%" % (100 * conf) - print " Number of independent bins = %.2e" % Nsearch - print " Threshold Power (P_detect) > %.2f" % \ - max_noise_power(Nsearch, 1, conf) + print("\n\nCalculating...\n\n") + print("") + print(" Power Stats for Binned Data") + print(" -----------------------------------") + print(" Number of data points = %.0f" % Ntot) + print(" Time per sample (s) = %g" % dt) + print(" Total number of photons = %.0f" % numphot) + print(" Confidence Level = %g%%" % (100 * conf)) + print(" Number of independent bins = %.2e" % Nsearch) + print(" Threshold Power (P_detect) > %.2f" % \ + max_noise_power(Nsearch, 1, conf)) ulim = required_signal_power(P_max, 1, conf) - print " Max Power Found (P_max) = %.2f" % P_max - print " Max Signal Power (P_limit) < %.2f" % ulim - print " Pulsed Fraction (P_limit) < %.3g" % \ - pulsed_fraction_limit(numphot, ulim) - print "" + print(" Max Power Found (P_max) = %.2f" % P_max) + print(" Max Signal Power (P_limit) < %.2f" % ulim) + print(" Pulsed Fraction (P_limit) < %.3g" % \ + pulsed_fraction_limit(numphot, ulim)) + print("") sens = [] ulim = [] for f in trial_freqs: sens.append(binned_fft_sensitivity(Ntot, dt, f, Nsearch, 1, conf)) ulim.append(required_signal_power(P_max, 1, conf)) - print " Freq (Hz) = ", + print(" Freq (Hz) = ", end=' ') for f in trial_freqs: - print " f=%-7g" % (f), - print '\n '+'-'*len(trial_freqs)*11 - print " Power Sensitivity > ", + print(" f=%-7g" % (f), end=' ') + print('\n '+'-'*len(trial_freqs)*11) + print(" Power Sensitivity > ", end=' ') for s in sens: - print " %-8.2f " % (s), - print '' + print(" %-8.2f " % (s), end=' ') + print('') pfract = [] for s in sens: pfract.append(pulsed_fraction_limit(numphot, s)) - print " Pulsed Fraction < ", + print(" Pulsed Fraction < ", end=' ') for p in pfract: - print " %-8.3g " % (p), - print '\n' + print(" %-8.3g " % (p), end=' ') + print('\n') else: - print "\n\nCalculating...\n\n" - print "" - print " Power Stats for Normal Data" - print " -----------------------------------" - print " Number of data points = %.0f" % Ntot - print " Confidence Level = %g%%" % (100 * conf) - print " Number of independent bins = %.2e" % Nsearch - print " Threshold Power (P_detect) > %.2f" % \ - max_noise_power(Nsearch/2, 1, conf) + print("\n\nCalculating...\n\n") + print("") + print(" Power Stats for Normal Data") + print(" -----------------------------------") + print(" Number of data points = %.0f" % Ntot) + print(" Confidence Level = %g%%" % (100 * conf)) + print(" Number of independent bins = %.2e" % Nsearch) + print(" Threshold Power (P_detect) > %.2f" % \ + max_noise_power(Nsearch/2, 1, conf)) sens = fft_sensitivity(Ntot, Nsearch, 1, conf) - print " Power Sensitivity > %.2f" % sens + print(" Power Sensitivity > %.2f" % sens) ulim = required_signal_power(P_max, 1, conf) - print " Max Power Found (P_max) = %.2f" % P_max - print " Max Signal Power (P_limit) < %.2f" % ulim - print "" + print(" Max Power Found (P_max) = %.2f" % P_max) + print(" Max Signal Power (P_limit) < %.2f" % ulim) + print("") diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index faa995688..eca0de436 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -1,5 +1,6 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as np import psrfits import filterbank @@ -67,8 +68,8 @@ def main(fits_fn, outfn, nbits, \ # band will need to be flipped if psrfits_file.fits['SUBINT'].header['CHAN_BW'] > 0: flip_band=True - print "\nFits file frequencies in ascending order." - print "\tFlipping frequency band.\n" + print("\nFits file frequencies in ascending order.") + print("\tFlipping frequency band.\n") else: flip_band=False @@ -78,30 +79,30 @@ def main(fits_fn, outfn, nbits, \ psrfits_file.nbits) if nbits != 32: - print "\nCalculating statistics on first subintegration..." + print("\nCalculating statistics on first subintegration...") subint0 = psrfits_file.read_subint(0, \ apply_weights, apply_scales, apply_offsets) #new_max = np.mean(subint0) + 3*np.std(subint0) new_max = 3 * np.median(subint0) - print "\t3*median =",new_max + print("\t3*median =",new_max) if new_max > 2.0**nbits: scale = True scale_fac = new_max / ( 2.0**nbits ) - print "\tScaling data by",1/scale_fac - print "\tValues larger than",new_max,"(pre-scaling) "\ - "will be set to",2.0**nbits - 1,"\n" + print("\tScaling data by",1/scale_fac) + print("\tValues larger than",new_max,"(pre-scaling) "\ + "will be set to",2.0**nbits - 1,"\n") else: scale = False scale_fac = 1 - print "\tNo scaling necessary" - print "\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ - "be set to ",2.0**nbits-1,"\n" + print("\tNo scaling necessary") + print("\tValues larger than",2.0**nbits-1,"(2^nbits) will "\ + "be set to ",2.0**nbits-1,"\n") else: scale_fac = 1 - print "\nNo scaling necessary for 32-bit float output file." + print("\nNo scaling necessary for 32-bit float output file.") - print "Writing data..." + print("Writing data...") sys.stdout.flush() oldpcnt = "" for isub in range(int(psrfits_file.nsubints)): @@ -116,10 +117,10 @@ def main(fits_fn, outfn, nbits, \ sys.stdout.write("% 4s%% complete\r" % pcnt) sys.stdout.flush() - print "Done " + print("Done ") outfil.close() - print "Runtime:",time.time() - start + print("Runtime:",time.time() - start) if __name__=='__main__': parser = optparse.OptionParser(prog='psrfits2fil.py', \ diff --git a/bin/psrfits_quick_bandpass.py b/bin/psrfits_quick_bandpass.py index bb0878c05..d0edb1a8b 100755 --- a/bin/psrfits_quick_bandpass.py +++ b/bin/psrfits_quick_bandpass.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import numpy as np import matplotlib.pyplot as plt import sys, psrfits @@ -45,11 +46,11 @@ def main(): help="Output filename (default will be INFILE.bandpass") (opts, args) = parser.parse_args() if len(args)==0: - print full_usage + print(full_usage) sys.exit(0) for infile in args: - print "Processing '%s'" % (infile) + print("Processing '%s'" % (infile)) pf = psrfits.PsrfitsFile(infile) if opts.nomods: # for a bandpass histogram of raw bits @@ -59,7 +60,7 @@ def main(): means = np.zeros((len(subints), pf.nchan)) stdevs = np.zeros((len(subints), pf.nchan)) for ii, subint in enumerate(subints): - print "%.0f%%.." % (100.0 * float(subint) / pf.specinfo.num_subint), + print("%.0f%%.." % (100.0 * float(subint) / pf.specinfo.num_subint), end=' ') sys.stdout.flush() specs = pf.read_subint(subint, apply_weights=opts.weights, apply_scales=not opts.nomods, @@ -70,7 +71,7 @@ def main(): htot += h means[ii] = specs.mean(axis=0) stdevs[ii] = specs.std(axis=0) - print "%.0f%%" % (100.0) + print("%.0f%%" % (100.0)) med_mean = np.median(means, axis=0) med_stdev = np.median(stdevs, axis=0) outfilenm = infile+".bandpass" if opts.outfile is None else opts.outfile @@ -79,11 +80,11 @@ def main(): plot_bandpass(pf.freqs, med_mean, med_stdev, outfile=plotfilenm) if opts.nomods: htot = htot / htot.sum() - print "# Bits histogram" - print "# val fract" - print "#---------------" + print("# Bits histogram") + print("# val fract") + print("#---------------") for b, h in zip(b, htot): - print "%3d %6.4f" % (b, h) + print("%3d %6.4f" % (b, h)) write_bandpass(outfilenm, pf.freqs, med_mean, med_stdev) if __name__=='__main__': diff --git a/bin/pulsestack.py b/bin/pulsestack.py index dda5d5c99..348f23a2f 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -19,6 +19,7 @@ # ###################################################################### +from __future__ import print_function import numpy as np import array as ar import os, os.path, stat, glob, sys @@ -98,30 +99,30 @@ def detrending (data, is_fast): # gives the short list of options without explanations def list_options(prg): - print "Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg) - print - print "Options:" - print " [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]" - print " [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]" - print " [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]" - print " [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]" - print " [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]" - print " [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]" - print " [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]" - print " [--tim] [--events] [-l, --list]" - print " [-2, --double] [-m, --mjd MJD] [--tsamp TIME]" - print " [--chandra]" - print - print "Graphics Options:" - print " [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]" - print " [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]" - print " [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]" - print " [--cmap COLORMAP] [-c, --colorbar] [--title STR]" - print " [--legend STR] [--loc STR] [-g, --grid]" - print " [--titlepos STR] [--label STR] [--labelpos STR]" - print " [--no-top-axis] [--no-right-axis]" + print("Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg)) + print() + print("Options:") + print(" [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]") + print(" [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]") + print(" [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]") + print(" [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]") + print(" [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]") + print(" [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]") + print(" [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]") + print(" [--tim] [--events] [-l, --list]") + print(" [-2, --double] [-m, --mjd MJD] [--tsamp TIME]") + print(" [--chandra]") + print() + print("Graphics Options:") + print(" [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]") + print(" [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]") + print(" [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]") + print(" [--cmap COLORMAP] [-c, --colorbar] [--title STR]") + print(" [--legend STR] [--loc STR] [-g, --grid]") + print(" [--titlepos STR] [--label STR] [--labelpos STR]") + print(" [--no-top-axis] [--no-right-axis]") if kapteyn_loaded: - print " [--cmap-scale SCALE]" + print(" [--cmap-scale SCALE]") ################################################################################################################################### @@ -297,19 +298,19 @@ def list_options(prg): tsamp = filhdr['tsamp'] source = filhdr['source_name'] except: - print "Error: Can't open the tim-file '%s'!" % (datfile,) + print("Error: Can't open the tim-file '%s'!" % (datfile,)) sys.exit(1) elif opts.is_events: opts.is_no_detrend = True # we don't do detrending for events if opts.mjd == '' and not opts.is_chandra: - print "Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!" + print("Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!") sys.exit(1) if opts.nbins == -1: - print "Error: number of bins _must_ be given with --nbins option!" + print("Error: number of bins _must_ be given with --nbins option!") sys.exit(1) if opts.rebin != 1: - print "Event data can not be re-binned" + print("Event data can not be re-binned") opts.rebin = 1 else: if (opts.mjd == '' and not opts.is_chandra) or opts.tsamp == '' or opts.psrname == '': @@ -321,13 +322,13 @@ def list_options(prg): startmjd = id.epoch # start MJD source = id.object # pulsar name except: - print "Error: Can't read the inf-file '%s'!" % (inffile,) + print("Error: Can't read the inf-file '%s'!" % (inffile,)) sys.exit(1) # overwriting MJD, tsamp, pulsarname from the command line if given if opts.is_chandra: opts.mjd = "50814.0" - print "Chandra event file. Reference start MJD is %s" % (opts.mjd) + print("Chandra event file. Reference start MJD is %s" % (opts.mjd)) if opts.mjd != '': startmjd = float(opts.mjd) if opts.tsamp != '': @@ -337,7 +338,7 @@ def list_options(prg): # checking start, end times and adjusting them if necessary if opts.start_time < 0: - print "Error: start time %.3f is < 0!" % (opts.start_time) + print("Error: start time %.3f is < 0!" % (opts.start_time)) sys.exit(1) if not opts.is_events: @@ -345,13 +346,13 @@ def list_options(prg): try: size=(os.stat(datfile)[stat.ST_SIZE] - headersize) / 4 # 4 bytes in float except: - print "Error: Can't open the input file '%s'!" % (datfile,) + print("Error: Can't open the input file '%s'!" % (datfile,)) sys.exit(1) # checking start, end times and adjusting them if necessary start_sample = int(opts.start_time / tsamp) if start_sample >= size: - print "Start time %.3f is out of range!" % (opts.start_time) + print("Start time %.3f is out of range!" % (opts.start_time)) sys.exit(1) else: size = size - start_sample @@ -367,10 +368,10 @@ def list_options(prg): opts.window_time = window * tsamp if start_sample + window > size: - print "End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time) + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) window = size - start_sample opts.window_time = window * tsamp - print "New window is %.3f s" % (opts.window_time) + print("New window is %.3f s" % (opts.window_time)) else: # reading the file, and so, we can get the start and end events' time events = np.loadtxt(datfile, comments='#', usecols=(0,0), dtype=float, unpack=True)[0] @@ -379,11 +380,11 @@ def list_options(prg): except: energy = [] if np.size(energy) == 0 and opts.is_timeseries: - print "No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile) + print("No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile)) sys.exit(1) duration = events[-1]-events[0] if opts.start_time >= duration: - print "Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration) + print("Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration)) sys.exit(1) else: events.compress(events >= opts.start_time + events[0]) @@ -392,9 +393,9 @@ def list_options(prg): if opts.window_time == -1: opts.window_time = duration if opts.start_time + opts.window_time > duration: - print "End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time) + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) opts.window_time = duration - opts.start_time - print "New window is %.3f s" % (opts.window_time) + print("New window is %.3f s" % (opts.window_time)) # checking dump settings if opts.dump != '': @@ -402,17 +403,17 @@ def list_options(prg): dump_time = float(opts.dump) dump_pulses = 0 if dump_time > 0: - print "Dump time is %.3f s" % (dump_time) + print("Dump time is %.3f s" % (dump_time)) else: - print "Dump time %.3f should be > 0!" % (dump_time) + print("Dump time %.3f should be > 0!" % (dump_time)) sys.exit(1) else: # number of pulses to dump is given dump_pulses = int(opts.dump) dump_time = 0 if dump_pulses > 0: - print "Number of pulses in subintegration is %d" % (dump_pulses) + print("Number of pulses in subintegration is %d" % (dump_pulses)) else: - print "Number of pulses in subintegration %d should be > 0!" % (dump_pulses) + print("Number of pulses in subintegration %d should be > 0!" % (dump_pulses)) sys.exit(1) else: dump_pulses = 0 @@ -422,25 +423,25 @@ def list_options(prg): if not opts.is_timeseries: if opts.phase_start < 0 or opts.phase_start >= 1.0: opts.phase_start = 0.0 - print "Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,) + print("Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,)) if opts.phase_end <= 0.0 or opts.phase_end > 1.0: opts.phase_end = 1.0 - print "End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,) + print("End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,)) if opts.phase_end <= opts.phase_start: - print "End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start) + print("End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start)) sys.exit(1) if not opts.is_no_detrend: # checking the blocksize if opts.blocksize < 3 * detrendlen: - print "Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen) + print("Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen)) opts.blocksize = 3 * detrendlen # making blocksize to be divisible by detrendlen (in order not to loose samples between blocks) if int (opts.blocksize / detrendlen) * detrendlen != opts.blocksize: opts.blocksize = detrendlen * (1 + int (opts.blocksize / detrendlen)) - print "Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen) + print("Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen)) # forming the array of time samples @@ -448,7 +449,7 @@ def list_options(prg): try: infile = open(datfile, "rb") except: - print "Error: Can't read the dat-file '%s'!" % (datfile,) + print("Error: Can't read the dat-file '%s'!" % (datfile,)) sys.exit(1) dataptr = ar.array('f') # 'f' - for float infile.seek(headersize + 4 * start_sample) # position to the first byte to read; '4' - is the size of float @@ -468,12 +469,12 @@ def list_options(prg): else: fold_period = get_period (pid, data[0]) except: - print "Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile) - print "If different, try --pulsar option to set the name of pulsar the same as in polyco file." + print("Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile)) + print("If different, try --pulsar option to set the name of pulsar the same as in polyco file.") sys.exit(1) is_update_period = True if fold_period <= 0: - print "Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period)) + print("Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period))) sys.exit(1) else: # period is given fold_period = opts.period / 1000. @@ -484,33 +485,33 @@ def list_options(prg): # if dump_time is given - checking that it is >= fold_period if dump_time > 0: if dump_time < fold_period: - print "Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period) + print("Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period)) dump_time = fold_period - print "Dump time is now %.3f s" % (dump_time) + print("Dump time is now %.3f s" % (dump_time)) if dump_time > opts.window_time: - print "Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time) + print("Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time)) # we make it a one period less than duration, because otherwise plt.imshow # fails to plot dump_time = opts.window_time - fold_period - print "Dump time is now %.3f s" % (dump_time) + print("Dump time is now %.3f s" % (dump_time)) else: # we need this for plotting purposes dump_time = dump_pulses * fold_period if dump_time > opts.window_time: - print "Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time) - print "Adjusting to match to the closest maximum possible number." + print("Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time)) + print("Adjusting to match to the closest maximum possible number.") dump_pulses = int((opts.window_time - fold_period) / fold_period) dump_time = dump_pulses * fold_period - print "Number of pulses per subintegration is now %d" % (dump_pulses) + print("Number of pulses per subintegration is now %d" % (dump_pulses)) bin_start = int (opts.nbins * opts.phase_start) bin_end = int(math.ceil((opts.nbins - 1) * opts.phase_end)) bin_range = bin_end - bin_start + 1 if "%f" % (opts.phase_start) != "%f" % (float(bin_start)/opts.nbins): opts.phase_start = float(bin_start)/opts.nbins - print "Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start) + print("Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start)) if "%f" % (opts.phase_end) != "%f" % (float(bin_end)/(opts.nbins - 1)): opts.phase_end = float(bin_end)/(opts.nbins - 1) - print "Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end) + print("Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end)) # initializing some variables and arrays elapsed_secs = opts.start_time diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 9a41c81ef..6543944dd 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function from psr_utils import gaussian_profile, span, read_profile from matplotlib.patches import Rectangle from bestprof import bestprof @@ -219,24 +220,24 @@ def fit_gaussians(data, initial_params, errs, profnm): dof = len(data) - len(fit_params) # chi-squared for the model fit chi_sq = mpfit_out.fnorm - print "------------------------------------------------------------------" - print "Multi-Gaussian Fit by pygaussfit.py of '%s'"%profnm - print "------------------------------------------------------------------" - print "mpfit status:", mpfit_out.status - print "gaussians:", numgaussians - print "DOF:", dof - print "chi-sq: %.2f" % chi_sq - print "reduced chi-sq: %.2f" % (chi_sq/dof) + print("------------------------------------------------------------------") + print("Multi-Gaussian Fit by pygaussfit.py of '%s'"%profnm) + print("------------------------------------------------------------------") + print("mpfit status:", mpfit_out.status) + print("gaussians:", numgaussians) + print("DOF:", dof) + print("chi-sq: %.2f" % chi_sq) + print("reduced chi-sq: %.2f" % (chi_sq/dof)) residuals = data - gen_gaussians(fit_params, len(data)) - print "residuals mean: %.3g" % Num.mean(residuals) - print "residuals stdev: %.3g" % Num.std(residuals) - print "--------------------------------------" - print " const = %.5f +/- %.5f" % (fit_params[0], fit_errs[0]) + print("residuals mean: %.3g" % Num.mean(residuals)) + print("residuals stdev: %.3g" % Num.std(residuals)) + print("--------------------------------------") + print(" const = %.5f +/- %.5f" % (fit_params[0], fit_errs[0])) for ii in range(numgaussians): - print " phas%d = %.5f +/- %.5f" % (ii+1, fit_params[1+ii*3], fit_errs[1+ii*3]) - print " fwhm%d = %.5f +/- %.5f" % (ii+1, fit_params[2+ii*3], fit_errs[2+ii*3]) - print " ampl%d = %.5f +/- %.5f" % (ii+1, fit_params[3+ii*3], fit_errs[3+ii*3]) - print "--------------------------------------" + print(" phas%d = %.5f +/- %.5f" % (ii+1, fit_params[1+ii*3], fit_errs[1+ii*3])) + print(" fwhm%d = %.5f +/- %.5f" % (ii+1, fit_params[2+ii*3], fit_errs[2+ii*3])) + print(" ampl%d = %.5f +/- %.5f" % (ii+1, fit_params[3+ii*3], fit_errs[3+ii*3])) + print("--------------------------------------") return fit_params, fit_errs, chi_sq, dof if __name__ == '__main__': @@ -244,7 +245,7 @@ def fit_gaussians(data, initial_params, errs, profnm): if len(sys.argv)==1: from numpy.random import normal - print """usage: python pygaussfit.py input_file [prof_stdev] + print("""usage: python pygaussfit.py input_file [prof_stdev] Left mouse draws a region roughly boxing where you'll place a gaussian. Draw several to fit multiple gaussians. @@ -255,7 +256,7 @@ def fit_gaussians(data, initial_params, errs, profnm): and amplitude. Comments with "#" are allowed. .bestprof files work. Paste the full resulting STDOUT to a '.gaussians' file for use -in get_TOAs.py or sum_profiles.py with the '-g' parameter as a template.""" +in get_TOAs.py or sum_profiles.py with the '-g' parameter as a template.""") N = 128 @@ -271,12 +272,12 @@ def fit_gaussians(data, initial_params, errs, profnm): filenm = "test" else: if sys.argv[1].endswith(".pfd"): - print "Input is PFD" + print("Input is PFD") # Input is pfd file pfdfn = sys.argv[1] # Check for bestprof if not os.path.exists(pfdfn+".bestprof"): - print "Creating bestprof file" + print("Creating bestprof file") # Create bestprof file with show_pfd devnull = open(os.devnull, 'w') subprocess.call(['show_pfd', '-noxwin', pfdfn], diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 197e25416..733b89cb4 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -5,6 +5,7 @@ # # Patrick Lazarus, Feb 26th, 2009 +from __future__ import print_function import optparse import sys import re @@ -197,7 +198,7 @@ def get_xdata(self, key): """Return label describing xaxis and the corresponding data given keyword 'key'. """ - if not isinstance(key, types.StringType): + if not isinstance(key, bytes): raise ValueError("key must be of type string.") xopt = key.lower() if xopt == 'numtoa': @@ -223,7 +224,7 @@ def get_ydata(self, key, postfit=True): 'postfit' is a boolean argument that determines if postfit, or prefit data is to be returned. """ - if not isinstance(key, types.StringType): + if not isinstance(key, bytes): raise ValueError("key must be of type string.") yopt = key.lower() if postfit: @@ -341,7 +342,7 @@ def plot_data(tempo_results, xkey, ykey, postfit=True, prefit=False, \ if xkey == 'mjd': plt.axvline(peri_mjd, ls=':', label='_nolegend_', c='k', lw=0.5) elif xkey == 'year': - print "plotting peri passage" + print("plotting peri passage") plt.axvline(mjd_to_year(peri_mjd), ls=':', label='_nolegend_', c='k', lw=0.5) axes[0].set_xlim((xmin, xmax)) plt.xlabel(xlabel) @@ -384,13 +385,13 @@ def get_freq_label(lo, hi): def savefigure(savefn='./resid2.tmp.ps'): - print "Saving plot to %s" % savefn + print("Saving plot to %s" % savefn) plt.savefig(savefn, orientation='landscape', papertype='letter') def reloadplot(): global options # Reload residuals and replot - print "Plotting..." + print("Plotting...") fig = plt.gcf() fig.set_visible(False) plt.clf() # clear figure @@ -400,9 +401,9 @@ def reloadplot(): postfit=options.postfit, prefit=options.prefit, \ interactive=options.interactive, \ mark_peri=options.mark_peri, show_legend=options.legend) - except EmptyPlotValueError, msg: - print msg - print "Press 'p'/'P' to add prefit/postfit plot." + except EmptyPlotValueError as msg: + print(msg) + print("Press 'p'/'P' to add prefit/postfit plot.") plt.figtext(0.5, 0.5, (str(msg) + "\n" + \ "Press 'p'/'P' to add prefit/postfit plot."), \ horizontalalignment='center', \ @@ -417,7 +418,7 @@ def redrawplot(): #plt.show() def quit(): - print "Quitting..." + print("Quitting...") sys.exit(0) @@ -433,39 +434,39 @@ def pick(event): info = tempo_results.get_info(freq_label, index, postfit) print_text(info) else: - print "Multiple TOAs selected. Zoom in and try again." + print("Multiple TOAs selected. Zoom in and try again.") def print_text(lines, *args, **kwargs): """Print lines of text (in a list) in the terminal.""" - print '\n'.join(lines) + print('\n'.join(lines)) def print_help(): # Display help - print "Helping..." - print "-"*80 - print "Help - Hotkeys definitions:" - print "\th - Display this help" - print "\tq - Quit" - print "\ts - Save current plot(s) to PostScript file" - print "\tc - Try to determine optimal color pallete" - print "\tp - Toggle prefit display on/off" - print "\tP - Toggle postfit display on/off" - print "\tz - Toggle Zoom-mode on/off" - print "\tm - Toggle marking of periastron passages on/off" - print "\tL - Toggle legend on/off" - print "\to - Go to original view" - print "\t< - Go to previous view" - print "\t> - Go to next view" - print "\tx - Set x-axis limits (terminal input required)" - print "\ty - Sey y-axis limits (terminal input required)" - print "\tr - Reload residuals" - print "\tt - Cycle through y-axis types ('phase', 'usec', 'sec')" - print "\t[Space] - Cycle through x-axis types ('MJD', 'year', 'numTOA', 'orbitphase')" - print "\t[Left mouse] - Select TOA (display info in terminal)" - print "\t - Select zoom region (if Zoom-mode is on)" - print "-"*80 + print("Helping...") + print("-"*80) + print("Help - Hotkeys definitions:") + print("\th - Display this help") + print("\tq - Quit") + print("\ts - Save current plot(s) to PostScript file") + print("\tc - Try to determine optimal color pallete") + print("\tp - Toggle prefit display on/off") + print("\tP - Toggle postfit display on/off") + print("\tz - Toggle Zoom-mode on/off") + print("\tm - Toggle marking of periastron passages on/off") + print("\tL - Toggle legend on/off") + print("\to - Go to original view") + print("\t< - Go to previous view") + print("\t> - Go to next view") + print("\tx - Set x-axis limits (terminal input required)") + print("\ty - Sey y-axis limits (terminal input required)") + print("\tr - Reload residuals") + print("\tt - Cycle through y-axis types ('phase', 'usec', 'sec')") + print("\t[Space] - Cycle through x-axis types ('MJD', 'year', 'numTOA', 'orbitphase')") + print("\t[Left mouse] - Select TOA (display info in terminal)") + print("\t - Select zoom region (if Zoom-mode is on)") + print("-"*80) def keypress(event): @@ -473,7 +474,7 @@ def keypress(event): global options global xind, xvals global yind, yvals - if type(event.key) in [types.StringType, types.UnicodeType]: + if type(event.key) in [bytes, str]: if event.key.lower() == 'q': quit() elif event.key.lower() == 's': @@ -490,48 +491,48 @@ def keypress(event): redrawplot() elif event.key.lower() == 'z': # Turn on zoom mode - print "Toggling zoom mode..." + print("Toggling zoom mode...") event.canvas.toolbar.zoom() elif event.key.lower() == 'm': # Toggle peri markings - print "Toggling periastron passage markings..." + print("Toggling periastron passage markings...") options.mark_peri = not options.mark_peri reloadplot() elif event.key.lower() == 'o': # Restore plot to original view - print "Restoring plot..." + print("Restoring plot...") event.canvas.toolbar.home() elif event.key.lower() == ',' or event.key.lower() == '<': # Go back to previous plot view - print "Going back..." + print("Going back...") event.canvas.toolbar.back() elif event.key.lower() == '.' or event.key.lower() == '>': # Go forward to next plot view - print "Going forward..." + print("Going forward...") event.canvas.toolbar.forward() elif event.key.lower() == ' ': xind = (xind + 1) % len(xvals) - print "Toggling plot type...[%s]"%xvals[xind], xind + print("Toggling plot type...[%s]"%xvals[xind], xind) options.xaxis = xvals[xind] reloadplot() elif event.key.lower() == 't': yind = (yind + 1) % len(yvals) - print "Toggling plot scale...[%s]"%yvals[yind], yind + print("Toggling plot scale...[%s]"%yvals[yind], yind) options.yaxis = yvals[yind] reloadplot() elif event.key == 'p': options.prefit = not options.prefit - print "Toggling prefit-residuals display to: %s" % \ - ((options.prefit and "ON") or "OFF") + print("Toggling prefit-residuals display to: %s" % \ + ((options.prefit and "ON") or "OFF")) reloadplot() elif event.key == 'P': options.postfit = not options.postfit - print "Toggling postfit-residuals display to: %s" % \ - ((options.postfit and "ON") or "OFF") + print("Toggling postfit-residuals display to: %s" % \ + ((options.postfit and "ON") or "OFF")) reloadplot() elif event.key.lower() == 'x': # Set x-axis limits - print "Setting x-axis limits. User input required..." + print("Setting x-axis limits. User input required...") xmin = raw_input("X-axis minimum: ") xmax = raw_input("X-axis maximum: ") try: @@ -540,13 +541,13 @@ def keypress(event): if xmax <= xmin: raise ValueError except ValueError: - print "Bad values provided!" + print("Bad values provided!") return plt.xlim(xmin, xmax) elif event.key.lower() == 'y': global axes # Set y-axis limits - print "Setting y-axis limits. User input required..." + print("Setting y-axis limits. User input required...") if len(axes) == 2: axes_to_adjust = raw_input("Axes to adjust (pre/post): ") if axes_to_adjust.lower().startswith('pre'): @@ -563,7 +564,7 @@ def keypress(event): if ymax <= ymin: raise ValueError except ValueError: - print "Bad values provided!" + print("Bad values provided!") return plt.ylim(ymin, ymax) elif event.key.lower() == 'h': diff --git a/bin/quickffdots.py b/bin/quickffdots.py index 20efcc6fb..341718406 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function from infodata import * from presto import ffdot_plane, spectralpower from pylab import * @@ -15,7 +16,7 @@ abs_alphas = N.asarray([0.1, 0.3, 0.4, 0.5, 0.65, 0.8, 1.0]) if len(sys.argv) < 3: - print "usage: quickffdots.py fftfile freq(Hz)" + print("usage: quickffdots.py fftfile freq(Hz)") sys.exit(0) if 0: @@ -26,7 +27,7 @@ alphas = abs_alphas if (numharm > 6): - print "Numharm must be < 6!" + print("Numharm must be < 6!") sys.exit(0) # Each of the harmonics must have an even number of bins interpolated @@ -54,7 +55,7 @@ maxargs = [] for harmnum in range(1, numharm+1): - print "Computing harmonic", harmnum + print("Computing harmonic", harmnum) ldr = dr * harmnum ldz = dz * harmnum lor = startr * harmnum @@ -83,10 +84,10 @@ argmax = ffd_pows.argmax() maxvals.append(ffd_pows.max()) maxargs.append((argmax / numrs, argmax % numrs)) - print " Maximum power for harmonic %d = %.2f"%(harmnum, maxvals[-1]) + print(" Maximum power for harmonic %d = %.2f"%(harmnum, maxvals[-1])) if (convals.max() < 1.5): # Using relative contours - print "Using relative contours.." + print("Using relative contours..") pow_contours = convals * maxvals[-1] else: # Only choose the contours with values < the max power @@ -112,7 +113,7 @@ limits = [rs0.min(), rs0.max(), zs0.min(), zs0.max()] cstr = "".join(["%.2f "%x for x in pow_contours[:-1]]) - print " Contour levels at powers = "+cstr + print(" Contour levels at powers = "+cstr) # Plot the contours contour(ffd_pows, pow_contours, origin='lower', @@ -126,17 +127,17 @@ if harmnum==1: axhline(0.0, linewidth=1, color='black', alpha=0.3) -print "\nMax summed power = %.2f"%(sumpows.max()) +print("\nMax summed power = %.2f"%(sumpows.max())) argmax = sumpows.argmax() maxr = rs0[argmax % numrs] maxz = zs0[argmax / numrs] maxf = maxr/idata.T maxfd = maxz/(idata.T*idata.T) initf = (maxr - 0.5*maxz)/idata.T -print " at r =", maxr, " (%.10f Hz)"%maxf -print " at z =", maxz, " (%.10g Hz/s)"%maxfd -print "Folding command would be: " -print " prepfold -f %.10f -fd %.6g ..." %(initf, maxfd) +print(" at r =", maxr, " (%.10f Hz)"%maxf) +print(" at z =", maxz, " (%.10g Hz/s)"%maxfd) +print("Folding command would be: ") +print(" prepfold -f %.10f -fd %.6g ..." %(initf, maxfd)) infile.close() show() diff --git a/bin/rrattrap.py b/bin/rrattrap.py index bdd7c81ab..4bc52db0f 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -14,6 +14,7 @@ Chen Karako May 7, 2014 Updated by Chitrang Patel June 10, 2016. """ +from __future__ import print_function import fileinput import numpy as np from time import strftime @@ -150,8 +151,8 @@ def create_groups(sps, inffile, min_nearby=1, time_thresh=0.5, \ Tobs = get_obs_info(inffile)['T'] # duration of observation if not (0 <= ignore_obs_end < Tobs): - print "Invalid ignore_obs_end value. Value must be: \ - 0 <= ignore_obs_end < Tobs. Setting ignore_obs_end to 0." + print("Invalid ignore_obs_end value. Value must be: \ + 0 <= ignore_obs_end < Tobs. Setting ignore_obs_end to 0.") ignore_obs_end = 0 Tignore = Tobs - ignore_obs_end # sps with t>=Tignore will be ignored @@ -570,7 +571,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig def print_debug(msg): if DEBUG: - print msg + print(msg) # print h.heap() @@ -816,7 +817,7 @@ def main(): plot_sp_rated_all(groups, ranks, inffile, 1000, 10000) print_debug("Finished plotting DMs1000-10000 "+strftime("%Y-%m-%d %H:%M:%S")) else: - print "Plot type must be one of 'matplotlib' or 'pgplot'. Not plotting." + print("Plot type must be one of 'matplotlib' or 'pgplot'. Not plotting.") if __name__ == '__main__': diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index 737320c55..504331d13 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import bisect, os, sys, getopt, infodata, glob import scipy, scipy.signal, scipy.stats, ppgplot import numpy as Num @@ -274,7 +275,7 @@ def main(): (opts, args) = parser.parse_args() if len(args)==0: if opts.globexp==None: - print full_usage + print(full_usage) sys.exit(0) else: args = [] @@ -359,14 +360,14 @@ def main(): roundN = N/detrendlen * detrendlen numchunks = roundN / chunklen # Read in the file - print 'Reading "%s"...'%filenm + print('Reading "%s"...'%filenm) timeseries = Num.fromfile(filenm, dtype=Num.float32, count=roundN) # Split the timeseries into chunks for detrending numblocks = roundN/detrendlen timeseries.shape = (numblocks, detrendlen) stds = Num.zeros(numblocks, dtype=Num.float64) # de-trend the data one chunk at a time - print ' De-trending the data and computing statistics...' + print(' De-trending the data and computing statistics...') for ii, chunk in enumerate(timeseries): if opts.fast: # use median removal instead of detrending (2x speedup) tmpchunk = chunk.copy() @@ -400,19 +401,19 @@ def main(): sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 std_stds = scipy.std(sort_stds[locut:hicut]) median_stds = sort_stds[(locut+hicut)/2] - print " pseudo-median block standard deviation = %.2f" % (median_stds) + print(" pseudo-median block standard deviation = %.2f" % (median_stds)) if (opts.badblocks): lo_std = median_stds - 4.0 * std_stds hi_std = median_stds + 4.0 * std_stds # Determine a list of "bad" chunks. We will not search these. bad_blocks = Num.nonzero((stds < lo_std) | (stds > hi_std))[0] - print " identified %d bad blocks out of %d (i.e. %.2f%%)" % \ + print(" identified %d bad blocks out of %d (i.e. %.2f%%)" % \ (len(bad_blocks), len(stds), - 100.0*float(len(bad_blocks))/float(len(stds))) + 100.0*float(len(bad_blocks))/float(len(stds)))) stds[bad_blocks] = median_stds else: bad_blocks = [] - print " Now searching..." + print(" Now searching...") # Now normalize all of the data and reshape it to 1-D timeseries /= stds[:,Num.newaxis] @@ -507,7 +508,7 @@ def main(): # are within the downsample proximity of a higher # signal-to-noise pulse dm_candlist = prune_related2(dm_candlist, downfacts) - print " Found %d pulse candidates"%len(dm_candlist) + print(" Found %d pulse candidates"%len(dm_candlist)) # Get rid of those near padding regions if info.breaks: prune_border_cases(dm_candlist, offregions) diff --git a/bin/sortwappfiles.py b/bin/sortwappfiles.py index 78f77d1e4..6e11ee9da 100755 --- a/bin/sortwappfiles.py +++ b/bin/sortwappfiles.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys, re maxwappnum = 7 @@ -7,7 +8,7 @@ for wappnum in range(1,maxwappnum+1): if ((wappnum==1 and re.search("\.wapp\.", filename)) or \ (wappnum>1 and re.search("\.wapp%d?\."%wappnum, filename))): - if wappfiles.has_key(wappnum): + if wappnum in wappfiles: wappfiles[wappnum].append(filename) else: wappfiles[wappnum] = [filename] @@ -19,5 +20,5 @@ for filenum in range(numfiles): for wappnum in range(1,maxwappnum+1): - if wappfiles.has_key(wappnum): - print wappfiles[wappnum][filenum], + if wappnum in wappfiles: + print(wappfiles[wappnum][filenum], end=' ') diff --git a/bin/subband_smearing.py b/bin/subband_smearing.py index 55f8c1110..ea51ecc09 100755 --- a/bin/subband_smearing.py +++ b/bin/subband_smearing.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import matplotlib.pyplot as plt import numpy as num import psr_utils as pu @@ -45,7 +46,7 @@ def total_smear(DM, nchan, chanDM, nsub, subDM, subband_smear(DM, subDM, BW/nsub, fctr)**2.0) def usage(): - print """ + print(""" usage: subband_smearing.py [options] [-l loDM, --loDM=loDM] : Low DM [-h hiDM, --hiDM=HIDM] : High DM @@ -58,7 +59,7 @@ def usage(): [-c chanDM, --chanDM=chanDM] : DM in each channel (default = 0.0) [-d N, --downsamp=downsamp] : Integer downsample (default = 1) -""" +""") if __name__=='__main__': import getopt, sys diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index ddce19869..e6b182014 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import struct, getopt, sys, fftfit, psr_utils, os.path, sinc_interp, Pgplot import numpy as Num from infodata import infodata @@ -50,7 +51,7 @@ def parse_vals(valstring): def usage(): - print """ + print(""" usage: sum_profiles.py [options which must include -t or -g] profs_file [-h, --help] : Display this help [-b bkgd_cutoff, --background=cutoff] : Fractional cutoff for the background level @@ -83,7 +84,7 @@ def usage(): To-do: -- add a .par option so that the profiles can be added based on an ephemeris. -""" +""") if __name__ == '__main__': # Import Psyco if available @@ -151,7 +152,7 @@ def usage(): if o in ("-s", "--sefd"): SEFD = float(a) - print "Creating a summed profile of length %d bins using DM = %f"%(numbins, DM) + print("Creating a summed profile of length %d bins using DM = %f"%(numbins, DM)) # Read the template profile or create an appropriate Gaussian if templatefilenm is not None: @@ -189,7 +190,7 @@ def usage(): # If the number of bins in the offpulse section is < 10% of the total # use the statistics in the .pfd file to set the RMS if (len(offpulse_inds) < 0.1*numbins): - print "Number of off-pulse bins to use for RMS is too low. Using .pfd stats." + print("Number of off-pulse bins to use for RMS is too low. Using .pfd stats.") usestats = 1 else: usestats = 0 @@ -215,7 +216,7 @@ def usage(): killsubss.append(killsubs) killintss.append(killints) else: - print "Can't find '%s'. Skipping it."%pfdfilenm + print("Can't find '%s'. Skipping it."%pfdfilenm) sumprof = Num.zeros(numbins, dtype='d') @@ -229,7 +230,7 @@ def usage(): # Step through the profiles and determine the offsets for pfdfilenm, killsubs, killints in zip(pfdfilenms, killsubss, killintss): - print "\n Processing '%s'..."%pfdfilenm + print("\n Processing '%s'..."%pfdfilenm) # Read the fold data and de-disperse at the requested DM current_pfd = pfd(pfdfilenm) @@ -243,12 +244,12 @@ def usage(): # If there are subbands to kill, kill em' if killsubs is not None: - print " killing subbands: ", killsubs + print(" killing subbands: ", killsubs) current_pfd.kill_subbands(killsubs) BW *= (current_pfd.nsub-len(killsubs))/float(current_pfd.nsub) # If there are intervals to kill, kill em' if killints is not None: - print " killing intervals: ", killints + print(" killing intervals: ", killints) current_pfd.kill_intervals(killints) T *= (current_pfd.npart-len(killints))/float(current_pfd.npart) @@ -260,7 +261,7 @@ def usage(): orig_fctr = fctr else: if fctr != orig_fctr: - print "Warning!: fctr = %f, but original f_ctr = %f!" % (fctr, orig_fctr) + print("Warning!: fctr = %f, but original f_ctr = %f!" % (fctr, orig_fctr)) Tpostrfi += T prof = current_pfd.profs.sum(0).sum(0) @@ -287,7 +288,7 @@ def usage(): # Determine the off-pulse RMS if usestats: - print "Using raw data statistics instead of off-pulse region" + print("Using raw data statistics instead of off-pulse region") offpulse_rms = Num.sqrt(current_pfd.varprof) else: offpulse_rms = offpulse.std() @@ -296,8 +297,8 @@ def usage(): tau_bin = Ppsr / current_pfd.proflen # Duration of profile bin dt_per_bin = tau_bin / current_pfd.dt corr_rms = offpulse_rms / Num.sqrt(current_pfd.DOF_corr()) - print "samples/bin = ", current_pfd.dt_per_bin - print "RMSs (uncorr, corr) = ", offpulse_rms, corr_rms + print("samples/bin = ", current_pfd.dt_per_bin) + print("RMSs (uncorr, corr) = ", offpulse_rms, corr_rms) # Now attempt to shift and scale the profile so that it has # an off-pulse mean of ~0 and an off-pulse RMS of ~1 @@ -320,11 +321,11 @@ def usage(): SNR = newprof.sum() # integrate everything else: SNR = newprof[pulsebins].sum() - print " Approx SNR = %.3f" % SNR + print(" Approx SNR = %.3f" % SNR) if SEFD: S = SEFD * SNR / Num.sqrt(2.0 * BW * T / numbins) / numbins avg_S += S - print " Approx flux density = %.3f mJy" % S + print(" Approx flux density = %.3f mJy" % S) # Now weight the profile based on the observation duration # and BW as compared to the first profile @@ -349,7 +350,7 @@ def usage(): # an off-pulse mean of ~0 and an off-pulse RMS of ~1 sumprof -= Num.median(offpulse) sumprof *= Num.sqrt(current_pfd.DOF_corr()) / offpulse.std() - print "\nSummed profile approx SNR = %.3f" % sum(sumprof) + print("\nSummed profile approx SNR = %.3f" % sum(sumprof)) if SEFD: avg_S /= len(pfdfilenms) if pulsebins is None: @@ -357,10 +358,10 @@ def usage(): else: SNR = sumprof[pulsebins].sum() S = SEFD * SNR / Num.sqrt(2.0 * BW * Tpostrfi / numbins) / numbins - print " Approx sum profile flux density = %.3f mJy" % S - print " Avg of individual flux densities = %.3f mJy" % avg_S - print " Total (RFI cleaned) integration = %.0f s (%.2f hrs)" % \ - (Tpostrfi, Tpostrfi/3600.0) + print(" Approx sum profile flux density = %.3f mJy" % S) + print(" Avg of individual flux densities = %.3f mJy" % avg_S) + print(" Total (RFI cleaned) integration = %.0f s (%.2f hrs)" % \ + (Tpostrfi, Tpostrfi/3600.0)) # Rotate the summed profile so that the max value is at the phase ~ 0.25 mark sumprof = psr_utils.rotate(sumprof, -len(sumprof)/4) @@ -368,12 +369,12 @@ def usage(): labx="Pulse Phase", laby="Relative Flux") Pgplot.closeplot() - print "\n Writing profile to '%s'..."%(outfilenm), + print("\n Writing profile to '%s'..."%(outfilenm), end=' ') outfile = file(outfilenm, "w") for ii, val in enumerate(sumprof): outfile.write("%04d %20.15g\n"%(ii, val)) outfile.close() - print "Done\n" + print("Done\n") diff --git a/bin/tim2dat.py b/bin/tim2dat.py index fd4d505eb..2c57db328 100755 --- a/bin/tim2dat.py +++ b/bin/tim2dat.py @@ -1,8 +1,13 @@ #!/usr/bin/env python -import sys, os, os.path -import argparse, getpass +from __future__ import print_function import astropy.coordinates as coords import astropy.units as u +import os +import os.path +import argparse +import sys +import getpass +import re import numpy as np import sigproc @@ -125,19 +130,20 @@ def convert_tim_to_dat(tim): def main(): for tim in args.timfiles: - print "Working on %s" % tim + print("Working on %s" % tim) + if args.write_dat: try: datfn = convert_tim_to_dat(tim) - print " Wrote PRESTO time series: %s" % datfn - except ValueError, e: + print(" Wrote PRESTO time series: %s" % datfn) + except ValueError as e: sys.stderr.write("Error encountered when converting on %s" % tim) sys.stderr.write(str(e)) else: datfn = tim[-3:]+"dat" hdr, hdrlen = sigproc.read_header(tim) inffn = write_inf_file(datfn, hdr, hdrlen) - print " Wrote info data: %s" % inffn + print(" Wrote info data: %s" % inffn) if __name__ == '__main__': diff --git a/lib/python/Pgplot.py b/lib/python/Pgplot.py index 0f6882cae..08184decb 100644 --- a/lib/python/Pgplot.py +++ b/lib/python/Pgplot.py @@ -1,3 +1,4 @@ +from __future__ import print_function ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -122,7 +123,7 @@ def nextplotpage(reset=0): ppgplot.pgpage() ppgplot_dev_prep_ = 0 else: - print "Can't go to the next plot page unless a plotting device is open." + print("Can't go to the next plot page unless a plotting device is open.") if (reset): resetdefaults() # Reset the color indices to the default values @@ -336,7 +337,7 @@ def plotxy(y, x=None, title=None, rangex=None, rangey=None, \ logx, logy, logx2, logy2, font, fontsize, \ id, aspect, ticks, panels, device=device) # Choose the line color - if type(color) == types.StringType: + if type(color) == bytes: ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -493,7 +494,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Make sure the input data is a 2D array z = Num.asarray(z); if not len(z.shape)==2: - print 'Input data array must be 2 dimensional.' + print('Input data array must be 2 dimensional.') return # Announce the global variables we will be using global ppgplot_dev_open_, ppgplot_dev_prep_, pgpalette @@ -535,7 +536,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Choose the line width ppgplot.pgslw(width) # Choose the line color for the contourlines - if type(color) == types.StringType: + if type(color) == bytes: ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -545,7 +546,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Label the contours if requested if labels is not None: # Choose the line color for the contourlines - if type(labels) == types.StringType: + if type(labels) == bytes: ppgplot.pgsci(ppgplot_colors_[labels]) else: ppgplot.pgsci(labels) diff --git a/lib/python/barycenter.py b/lib/python/barycenter.py index 817778f4f..38b156a4a 100644 --- a/lib/python/barycenter.py +++ b/lib/python/barycenter.py @@ -50,16 +50,16 @@ def rad2dms(rad): ss = ss * 60.0 id = abs(int(dd)) if (abs(dd) < 10.0): - if (dd < 0): d = '-0'+`id` - else: d = '0'+`id` + if (dd < 0): d = '-0'+repr(id) + else: d = '0'+repr(id) else: - if (dd < 0): d = '-'+`id` - else: d = `id` + if (dd < 0): d = '-'+repr(id) + else: d = repr(id) im = abs(int(mm)) - if (abs(mm) < 10): m = '0'+`im` - else: m = `im` - if (abs(ss) < 10): s = '0'+`abs(ss)` - else: s = `abs(ss)` + if (abs(mm) < 10): m = '0'+repr(im) + else: m = repr(im) + if (abs(ss) < 10): s = '0'+repr(abs(ss)) + else: s = repr(abs(ss)) return d+':'+m+':'+s def rad2hms(rad): @@ -73,16 +73,16 @@ def rad2hms(rad): ss = ss * 60.0 ih = abs(int(hh)) if (abs(hh) < 10.0): - if (hh < 0): h = '-0'+`ih` - else: h = '0'+`ih` + if (hh < 0): h = '-0'+repr(ih) + else: h = '0'+repr(ih) else: - if (hh < 0): h = '-'+`ih` - else: h = `ih` + if (hh < 0): h = '-'+repr(ih) + else: h = repr(ih) im = abs(int(mm)) - if (abs(mm) < 10): m = '0'+`im` - else: m = `im` - if (abs(ss) < 10): s = '0'+`abs(ss)` - else: s = `abs(ss)` + if (abs(mm) < 10): m = '0'+repr(im) + else: m = repr(im) + if (abs(ss) < 10): s = '0'+repr(abs(ss)) + else: s = repr(abs(ss)) return h+':'+m+':'+s diff --git a/lib/python/binary_psr.py b/lib/python/binary_psr.py index d27485300..b80255476 100644 --- a/lib/python/binary_psr.py +++ b/lib/python/binary_psr.py @@ -1,9 +1,10 @@ +from __future__ import print_function import numpy as Num import parfile, psr_utils from psr_constants import * def myasarray(a): - if type(a) in [type(1.0),type(1L),type(1),type(1j)]: + if type(a) in [type(1.0),type(1),type(1),type(1j)]: a = Num.asarray([a]) if len(a) == 0: a = Num.asarray([a]) @@ -43,7 +44,7 @@ class binary_psr def __init__(self, parfilenm): self.par = parfile.psr_par(parfilenm) if not hasattr(self.par, 'BINARY'): - print "'%s' doesn't contain parameters for a binary pulsar!" + print("'%s' doesn't contain parameters for a binary pulsar!") return None self.PBsec = self.par.PB*SECPERDAY self.T0 = self.par.T0 diff --git a/lib/python/cosine_rand.py b/lib/python/cosine_rand.py index d7fda59b0..f49dd4642 100644 --- a/lib/python/cosine_rand.py +++ b/lib/python/cosine_rand.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import cPickle, os @@ -52,7 +53,7 @@ def cosine_rand(num): tt = time.clock() funct(numrandnums) times.append(time.clock()-tt) - print "Average time = ", Num.add.reduce(Num.asarray(times))/numtrials + print("Average time = ", Num.add.reduce(Num.asarray(times))/numtrials) else: rs = Num.arange(n+1, dtype=Num.float)/n plotxy(xs, rs) diff --git a/lib/python/events.py b/lib/python/events.py index a3d958a10..ffa0be77f 100644 --- a/lib/python/events.py +++ b/lib/python/events.py @@ -1,3 +1,4 @@ +from __future__ import print_function import bisect import numpy as Num from psr_constants import PI, TWOPI, PIBYTWO @@ -172,7 +173,7 @@ def xray_time_to_detect(ctrate, pfract, dt, fpsr, bins=0, confidence=0.99, # The following is from para 1, sect 3.3, of Ransom, Gaensler, and Slane, 2002 #return (power_required - 1.0) 4 * ctrate * dt**2.0 / (A**2.0 * factor) * else: - print "Not implemented yet...I think we need to iterate." + print("Not implemented yet...I think we need to iterate.") # The following routines are based on the method of signal # estimation described by Vaughan et al., 1994, ApJ, 435, p362. @@ -429,9 +430,9 @@ def pulsed_fraction_limit(Nphot, Pow): tcsum = Num.add.accumulate(Num.sqrt(pows[1:10]))**2.0 csum = coherent_sum(fprof[1:10]) isum = incoherent_sum(fprof[1:10]) - print isum - print csum - print tcsum + print(isum) + print(csum) + print(tcsum) for ii in range(len(csum)): - print candidate_sigma(isum[ii], ii+1, 1), candidate_sigma(csum[ii]/(ii+1), 1, 1) + print(candidate_sigma(isum[ii], ii+1, 1), candidate_sigma(csum[ii]/(ii+1), 1, 1)) diff --git a/lib/python/filterbank.py b/lib/python/filterbank.py index abeede864..86f23608c 100644 --- a/lib/python/filterbank.py +++ b/lib/python/filterbank.py @@ -4,6 +4,7 @@ Patrick Lazarus, June 26, 2012 (Minor modification from file originally from June 6th, 2009) """ +from __future__ import print_function import sys import warnings @@ -45,7 +46,7 @@ def create_filterbank_file(outfn, header, spectra=None, nbits=8, \ # Only add recognized parameters continue if verbose: - print "Writing header param (%s)" % paramname + print("Writing header param (%s)" % paramname) value = header[paramname] outfile.write(sigproc.addto_hdr(paramname, value)) outfile.write(sigproc.addto_hdr("HEADER_END", None)) @@ -133,10 +134,10 @@ def read_header(filename, verbose=False): paramname = "" while (paramname != 'HEADER_END'): if verbose: - print "File location: %d" % filfile.tell() + print("File location: %d" % filfile.tell()) paramname, val = sigproc.read_hdr_val(filfile, stdout=verbose) if verbose: - print "Read param %s (value: %s)" % (paramname, val) + print("Read param %s (value: %s)" % (paramname, val)) if paramname not in ["HEADER_START", "HEADER_END"]: header[paramname] = val header_size = filfile.tell() @@ -286,7 +287,7 @@ def write_spectra(self, spectra, ispec): def __getattr__(self, name): if name in self.header: if DEBUG: - print "Fetching header param (%s)" % name + print("Fetching header param (%s)" % name) val = self.header[name] else: raise ValueError("No FilterbankFile attribute called '%s'" % name) @@ -298,7 +299,7 @@ def print_header(self): for param in sorted(self.header.keys()): if param in ("HEADER_START", "HEADER_END"): continue - print "%s: %s" % (param, self.header[param]) + print("%s: %s" % (param, self.header[param])) def main(): diff --git a/lib/python/injectpsr.py b/lib/python/injectpsr.py deleted file mode 120000 index 09bd47169..000000000 --- a/lib/python/injectpsr.py +++ /dev/null @@ -1 +0,0 @@ -../../bin/injectpsr.py \ No newline at end of file diff --git a/lib/python/injectpsr.py b/lib/python/injectpsr.py new file mode 100755 index 000000000..0af70e011 --- /dev/null +++ b/lib/python/injectpsr.py @@ -0,0 +1,1269 @@ +#!/usr/bin/env python + +"""Inject a fake pulsar into real data, creating +a filterbank file. + +Patrick Lazarus, June 26, 2012 +""" +from __future__ import print_function +import sys +import argparse +import warnings +import pickle +import copy + +import numpy as np +import scipy.integrate +import scipy.interpolate +import matplotlib +matplotlib.use('agg') # Use a non-interactive backend +import matplotlib.pyplot as plt +import scipy.integrate + +import filterbank +import psr_utils + +DEBUG = False # Print debugging messages + +NUMSECS = 1.0 # Number of seconds of data to use to determine global scale + # when repacking floating-point data into integers +BLOCKSIZE = 1e4 # Number of spectra to manipulate at once +NUMPOINTS = 512 # Number of points to use for spline profiles when applying DM +NINTEG_PER_BIN = 1 # Number of points to average integrate per time bin + +def integrate_phase_bin(prof_func, phs, dphs, nseg=1): + intervals = np.linspace(0, dphs, nseg+1, endpoint=True) + edges = intervals+np.asarray(phs)[...,np.newaxis] + return np.trapz(prof_func(edges), edges, axis=-1) + + +class Profile(object): + """A class to represent a generic pulse profile. + """ + def __init__(self, prof_func, scale=1): + """Construct a profile. + + Inputs: + prof_func: A function of a single variable. + This function should: + 1) Represent the pulse profile. + 2) Expect input values of phase ranging between + 0 and 1. + 3) Work when provided with a numpy array. + scale: An overall scaling factor to multiply + the profile by. + + Output: + prof: The profile object. + """ + self.prof_func = prof_func + self.scale = scale + + def __call__(self, phs): + """Return the value of the profile at the given phase. + + Inputs: + phs: The phase of the profile (between 0 and 1) where + the profile should be evaluated. + + Output: + vals: The values of the profile at the requested phases. + """ + profvals = self.prof_func(phs) + return self.scale*profvals + + def plot(self, nbin=1024, scale=1): + x0 = np.linspace(0, 1.0, nbin+1, endpoint=True) + plt.plot(x0, self(x0)*scale) + plt.xlabel("Phase") + + def get_area(self, npts=4096, **kwargs): + """Return the area under the pulse in units of (intensity x phase). + The area is calculated by evaluating the profile at many points + and numerically integrated using the trapezoid rule. + + NOTE: the scale-factor will be applied. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + area: The area under the pulse in units of (intensity x phase). + """ + phs = np.linspace(0, 1.0, npts+1, endpoint=True) + area = np.trapz(y=self(phs), x=phs) + #area, err = scipy.integrate.quadrature(self, 0, 1, maxiter=250) + return area + + def get_max(self, npts=4096): + """Return the maximum value of the profile. + The profile is evaluated at many points. The quantity returned + is the maximum value evaluated. + + NOTE: the scale-factor will be applied. + + Inputs: + npts: The number of points to use when evaluating the + profile. + + Ouput: + profmax: The profile maximum. + """ + phs = np.linspace(0, 1.0, npts+1, endpoint=True) + profmax = np.max(self(phs)) + return profmax + + def get_fwhm(self, npts=4096): + """Determine and return the FWHM of the profile, in phase. + This only works if two points in the profile are at half-maximum, + and all points in between are larger than half-max. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + fwhm: The full-width at half-maximum of the profile, in phase. + """ + phs = np.linspace(0, 1.0, npts+1, endpoint=True) + vals = self(phs) + profmax = np.max(self(phs)) + halfmax = profmax/2.0 + ma = np.ma.masked_less(vals, halfmax) + # Unmasked region has vals >= halfmax + unmasked = np.ma.notmasked_contiguous(ma) + if len(unmasked) == 1: + sl = unmasked[0] + return ((sl.stop-1) - (sl.start))/float(npts) + elif len(unmasked) == 2: + sl1 = unmasked[0] + sl2 = unmasked[1] + if sl1.start==0 and sl2.stop==len(phs): + # profile straddles phase=0 + return (npts+(sl1.stop-1) - sl2.start)/float(npts) + else: + return None + + + def get_equivalent_width(self, npts=4096): + """Determine and return the equivalent width of the profile, in phase. + The equivalent width is the area under the pulse divided + by the profile's maximum value. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + weq: The equivalent width of the profile, in phase. + """ + return self.get_area(npts=npts)/self.get_max(npts=npts) + + def set_scaling(self, scale): + """Set the profile's scaling factor. + + Input: + scale: The scaling factor to use. + + Outputs: + None + """ + self.scale = scale + + def delay(self, phasedelay): + """Delay the profile and return a new Profile object. + + Input: + phasedelay: The amount of phase to delay the profile by. + + Output: + delayed: The delayed Profile. + """ + delayed_prof = Profile(lambda ph: self((ph-phasedelay) % 1)/self.scale, \ + scale=self.scale) + return delayed_prof + + def convolve_with(self, other, npts=4096, conserve_area=True): + """Convolve Profile with another. Return a SplineProfile + with the requested number of points. + + Inputs: + other: The Profile to convolve with. + npts: The number of points to use when creating the + resulting convolution (i.e. a SplineProfile). + (Default: 4096) + conserve_area: If true, scale the covolution such that + it has the same area as the input profile (i.e. 'self') + + Other: + convolution: The convolution, a SplineProfile object. + """ + phs = np.linspace(0, 1, npts, endpoint=False) + conv_vals = np.fft.irfft(np.fft.rfft(self(phs))*np.fft.rfft(other(phs))) + if conserve_area: + # scale convolution such that area is same as before + # Isn't this already a property of convolutions? Should it always be true? + scale = self.get_area()/np.trapz(conv_vals, phs) + convolution = SplineProfile(conv_vals*scale) + return convolution + + def smear(self, smearphs, delayphs=0, npts=4096): + """Smear the profile with a boxcar of width 'smearphs'. Return + a SplineProfile object sampled with 'npts' points. + + Inputs: + smearphs: The amount (in phase) to smear the profile by. + delayphs: The amount (in phase) to delay the pulse by. + (Default: No delay) + npts: The number of points to use when creating the + smeared SplineProfile. (Default: 4096) + + Output: + smeared: The smeared Profile. + """ + if smearphs < 0: + raise ValueError("Amount of phase to smear by (%g) " \ + "cannot be negative!" % scatterphs) + elif smearphs == 0: + # No scattering to do, return profile + return copy.deepcopy(self) + bc = boxcar_factory(smearphs, delayphs) + return self.convolve_with(bc, npts=npts) + + def scatter(self, scatterphs, npts=4096): + """Scatter the profile with a one-sided exponential of width + 'scatterphs'. Return a SplineProfile object sampled + with 'npts' points. + + Inputs: + scatterphs: The time-scale (in phase) of the exponential + scattering function. + npts: The number of points to use when creating the scattered + SplineProfile. (Default: 4096) + + Outputs: + scattered: The scattered Profile. + """ + if scatterphs < 0: + raise ValueError("Amount of phase to scatter by (%g) " \ + "cannot be negative!" % scatterphs) + elif scatterphs == 0: + # No scattering to do, return profile + return copy.deepcopy(self) + ex = exponential_factory(scatterphs) + return self.convolve_with(ex, npts=npts) + + +class SplineProfile(Profile): + def __init__(self, profvals, scale=1, **spline_kwargs): + """Construct a profile that uses a spline to interpolate a function. + + Inputs: + profvals: The values of the profile to be interpolated. + scale: An overall scaling factor to multiply + the profile by. + **All additional keyword arguments are passed to the + spline constructor. + + Output: + prof: The profile object. + """ + self.profvals = profvals + # TODO: Should we evaluate at the centre of the bins? + phs = np.linspace(0,1, len(profvals)+1, endpoint=True) + # Manually set value at phs=1.0 to the value at phs=0.0 + vals = np.concatenate((profvals, [profvals[0]])) + # Create spline object and use it as the profile function + spline = scipy.interpolate.InterpolatedUnivariateSpline(phs, \ + vals, **spline_kwargs) + super(SplineProfile, self).__init__(spline, scale) + + def __call__(self, phs): + """Return the value of the profile at the given phase. + + Inputs: + phs: The phase of the profile (between 0 and 1) where + the profile should be evaluated. + + Output: + vals: The values of the profile at the requested phases. + """ + vals = super(SplineProfile, self).__call__(phs.flat) + # Re-shape values because spline return flattened array. + vals = np.atleast_1d(vals) + vals.shape = phs.shape + return vals + + +class MultiComponentProfile(Profile): + """A class to represent a pulse profile made up of + multiple components. + """ + def __init__(self, components=None, scale=1): + """Construct a multi-component profile. + + Input: + components: A list of Profile objects that serve + as the components of this MultiComponentProfile + object. (Default: Create a multi-component profile + with no components.) + scale: An overall scaling factor to multiply + the profile by. + + Output: + prof: The MultiComponentProfile object. + """ + self.scale = scale + self.components = [] + for component in components: + self.add_component(component) + super(MultiComponentProfile, self).__init__(self._get_profile(), scale) + + def _get_profile(self): + """Private method to get the pulse profile vs. phase + function. + """ + if self.components: + prof = lambda ph: np.sum([comp(ph) for comp \ + in self.components], axis=0) + else: + prof = lambda ph: 0 + return prof + + def add_component(self, comp): + self.components.append(comp) + + def plot(self, nbin=1024): + super(MultiComponentProfile, self).plot(nbin=nbin) + for comp in self.components: + comp.plot(nbin=nbin, scale=self.scale) + + + +class VectorProfile(object): + """A class to represent a vector of pulse profiles. + This can be used to encode intrinsic profile variation, + or extrisinc smearing/scattering across the band + """ + def __init__(self, profiles, scales=1): + """Construct a vector of profiles. + + Inputs: + profiles: A list of Profile objects. + scales: A numpy array of scaling factors to multiply + the profile vector by when evaluating. + + Output: + prof: The profile object. + """ + self.profiles = profiles + self.nprofs = len(profiles) + self.scales = scales + + def __call__(self, phs): + phs = np.atleast_1d(np.asarray(phs)) + nphs = phs.shape[-1] + vals = np.zeros((nphs, self.nprofs)) + if phs.ndim == 1: + # Evaluate all profiles at the same phases + for ii, (prof, scale) in enumerate(zip(self.profiles, self.scales)): + # If scale is not a finite number don't inject anything for this + # channel + if np.isfinite(scale): + vals[:,ii] = prof(phs)*scale + elif phs.ndim == 2: + # Evaluate each profile at a different set of phases + nphs_vecs = phs.shape[0] + if nphs_vecs != self.nprofs: + raise ValueError("Length of axis=1 of 'phs' (%d) must be " \ + "equal to the number of profiles in the " \ + "vector (%d)." % (nphs_vecs, self.nprofs)) + for ii, (prof, ph, scale) in enumerate(zip(self.profiles, phs, self.scales)): + # If scale is not a finite number don't inject anything for this + # channel + if np.isfinite(scale): + vals[:,ii] = prof(ph)*scale + else: + raise ValueError("VectorProfile can only be evaluated with " \ + "1D or 2D arrays") + return vals + + def set_scaling(self, scales): + """Set the profiles' scaling factors. + + Input: + scales: The scaling factors to use. + + Outputs: + None + """ + arr = np.asarray(scales) + if arr.ndim not in (0, 1): + raise ValueError("Bad number of dimensions for 'scales'. " \ + "Number of dimensions must be 0 or 1. " \ + "Scales provided has %d dimensions." % arr.ndim) + self.scales = arr + + def get_area(self, *args, **kwargs): + """Return the area under the pulse in units of (intensity x phase). + The area is calculated by evaluating the profile at many points + and numerically integrated using the trapezoid rule. + + NOTE: the scale-factor will be applied. + + Input: + npts: The number of points to use when evaluating the + profile. + + Ouput: + area: The area under the pulse in units of (intensity x phase). + """ + areas = np.zeros(len(self.profiles)) + for ii, prof in enumerate(self.profiles): + areas[ii] = prof.get_area(*args, **kwargs) + return areas + + def plot(self, nbin=1024, scale=1): + phs = np.linspace(0, 1.0, nbin+1, endpoint=True) + data = self(phs).transpose() + imax = plt.axes((0.1, 0.1, 0.6, 0.8)) + + plt.imshow(data, interpolation='nearest', \ + extent=(0, 1, 0, self.nprofs), aspect='auto') + plt.xlabel("Phase") + plt.ylabel("Channel number") + + plt.axes((0.7, 0.1, 0.25, 0.8), sharey=imax) + plt.plot(np.sum(data, axis=1)[::-1], np.arange(self.nprofs), 'k-') + + # Re-set axes for image + imax.set_xlim(0, 1) + imax.set_ylim(0, self.nprofs) + + +class DispersedProfile(VectorProfile): + def __init__(self, profiles, dm, freqs, period, scales=1, intrinsic=None, delayed=True): + super(DispersedProfile, self).__init__(profiles, scales) + self.dm = dm + self.freqs = freqs + self.period = period + self.intrinsic = intrinsic + self.delayed = delayed + + def get_equivalent_width(self, *args, **kwargs): + return np.ones_like(self.freqs)*self.intrinsic.get_equivalent_width(*args, **kwargs) + + def get_area(self, *args, **kwargs): + return np.ones_like(self.freqs)*self.intrinsic.get_area(*args, **kwargs) + + def get_max(self, *args, **kwargs): + return np.ones_like(self.freqs)*self.intrinsic.get_max(*args, **kwargs) + + def plot(self, nbin=1024, scale=1, dedisp=False): + phs = np.linspace(0, 1.0, nbin+1, endpoint=True) + data = self(phs).transpose() + if self.delayed: + delays = get_phasedelays(self.dm, self.freqs, self.period) + else: + delays = np.zeros_like(self.freqs) + delayedphs = (phs+delays[:,np.newaxis]) % 1 + dedispdata = self(delayedphs).transpose() + + imax = plt.axes((0.1, 0.1, 0.6, 0.6)) + + if dedisp: + plt.imshow(dedispdata, interpolation='nearest', \ + extent=(0, 1, 0, self.nprofs), aspect='auto') + else: + plt.imshow(data, interpolation='nearest', \ + extent=(0, 1, 0, self.nprofs), aspect='auto') + plt.set_cmap('gist_yarg') + plt.xlabel("Phase") + plt.ylabel("Channel number") + + plt.axes((0.7, 0.1, 0.25, 0.6), sharey=imax) + plt.plot(np.sum(data, axis=1)[::-1], np.arange(self.nprofs), 'k-') + + plt.axes((0.1, 0.7, 0.6, 0.25), sharex=imax) + plt.plot(phs, np.sum(dedispdata, axis=0), ls='-', + c='k', lw=1, label='Smeared and scattered', zorder=2) + if self.intrinsic is not None: + plt.plot(phs, self.intrinsic(phs)*np.ma.masked_invalid(self.scales).sum(), + ls='-', c='#bbbbbb', lw=3, label='Input', zorder=1) + plt.legend(loc='best', prop=dict(size='small')) + plt.figtext(0.05, 0.05, "Period = %.3f ms" % (self.period*1000), size='xx-small') + plt.figtext(0.05, 0.035, r"DM = %.3f cm$\mathrm{^{-3}}$pc" % self.dm, size='xx-small') + + # Re-set axes for image + imax.set_xlim(0, 1) + imax.set_ylim(0, self.nprofs) + + +def get_phasedelays(dm, freqs, period): + """Return phase delays corresponding to a particular DM. + + Inputs: + dm: DM (in pc cm-3) + freqs: The list of frequencies (in MHz) + period: The profiles period (in seconds) + + Outputs: + phasedelays: The corresponding phase delays. + """ + # Prepare delays + timedelays = psr_utils.delay_from_DM(dm, freqs) + # Reference all delays to highest frequency channel, which remains + # unchanged + # TODO: Do we really want to refer to high freq? + timedelays -= timedelays[np.argmax(freqs)] + phasedelays = timedelays/period + return phasedelays + + +def apply_dm(inprof, period, dm, chan_width, freqs, tsamp, \ + do_delay=True, do_smear=True, do_scatter=True, + verbose=True): + """Given a profile apply DM delays, smearing, and scattering + within each channel as is appropriate for the given params. + + Inputs: + inprof: The profile to modify. + period: The profiles period (in seconds) + dm: The DM (in pc cm-3) + chan_width: The width of each channel (in MHz) + freqs: The list of frequencies (in MHz) + tsamp: Sample time of the recipient filterbank file (in seconds). + do_delay: Boolean, if True apply DM delays to each channel. + The highest freq channel is not shifted. (Default: True) + do_smear: Boolean, if True apply DM smearing to each channel. + (Default: True) + do_scatter: Boolean, if True apply scattering to each channel. + (Default: True) + + Outputs: + vecprof: The delayed and smeared VectorProfile. + """ + weq = inprof.get_equivalent_width() + nfreqs = len(freqs) + if verbose: + print("Applying DM to profile (DM = %.2f; %d channels)..." % \ + (dm, nfreqs)) + # A list of profiles, one for each channel + profiles = [] + + if dm <= 0: + warnings.warn("DM will not be applied because it is 0 (or smaller?!)") + do_delay = False + do_smear = False + do_scatter = False + + if do_delay: + phasedelays = get_phasedelays(dm, freqs, period) + else: + phasedelays = np.zeros(nfreqs) + + # Prepare for smear campaign + smeartimes = psr_utils.dm_smear(dm, abs(chan_width), freqs) # In seconds + smearphases = smeartimes/period + + # Prepare to scatter + scattertimes = psr_utils.pulse_broadening(dm, freqs)*1e-3 # In seconds + scatterphases = scattertimes/period + + if DEBUG: + for ichan, (freq, smear, scatt, delay) in \ + enumerate(zip(freqs, smearphases, scatterphases, phasedelays)): + print(" Chan #%d - Freq: %.3f MHz -- " \ + "Smearing, scattering, delay (all in phase): " \ + "%g, %g, %g" % (ichan, freq, smear, scatt, delay)) + oldprogress = 0 + sys.stdout.write(" %3.0f %%\r" % oldprogress) + sys.stdout.flush() +# ylim = None +# ylim2 = None +# ylim3 = None +# ylim4 = None +# ylim5 = None + for ii, (delayphs, smearphs, scattphs) in \ + enumerate(zip(phasedelays, smearphases, scatterphases)): + ######### + # DEBUG: plot all profiles +# plt.clf() +# ax = plt.subplot(5,1,1) +# inprof.plot() +# if ylim is not None: +# ax.set_ylim(ylim) +# else: +# ylim = ax.get_ylim() + + if do_smear and not ((smearphs < 0.2*weq) or (smearphs < (tsamp/period))): + # Only smear if requested and smearing-phase is large enough +# bc = boxcar_factory(smearphs, delayphs) +# ax2 = plt.subplot(5,1,2,sharex=ax) +# bc.plot() +# if ylim2 is not None: +# ax2.set_ylim(ylim2) +# else: +# ylim2 = ax2.get_ylim() + if DEBUG: + print("Smearing") + tmpprof = inprof.smear(smearphs, delayphs, npts=NUMPOINTS) + else: + tmpprof = inprof.delay(delayphs) + phs = np.linspace(0, 1, NUMPOINTS+1) + tmpprof = SplineProfile(tmpprof(phs)) +# ax3 = plt.subplot(5,1,3,sharex=ax) +# if ylim3 is not None: +# ax3.set_ylim(ylim3) +# else: +# ylim3 = ax3.get_ylim() +# tmpprof.plot() + if do_scatter and not ((scattphs < 0.2*weq) or (scattphs < (tsamp/period))): + # Only scatter if requested and scattering-phase is large enough +# ex = exponential_factory(scattphs) +# ax4 = plt.subplot(5,1,4,sharex=ax) +# ex.plot() +# if ylim4 is not None: +# ax4.set_ylim(ylim4) +# else: +# ylim4 = ax4.get_ylim() + if DEBUG: + print("Scattering") + tmpprof = tmpprof.scatter(scattphs, npts=NUMPOINTS) +# ax5 = plt.subplot(5,1,5,sharex=ax) +# tmpprof.plot() +# if ylim5 is not None: +# ax5.set_ylim(ylim5) +# else: +# ylim5 = ax5.get_ylim() + profiles.append(tmpprof) +# plt.xlim(0,1) +# plt.xlabel("Phase") +# plt.suptitle("Prof %d (%f MHz)" % (ii, freqs[ii])) +# plt.savefig("prof%d.png" % ii) + ######### + # Print progress to screen + progress = int(100.0*ii/nfreqs) + if progress > oldprogress: + sys.stdout.write(" %3.0f %%\r" % progress) + sys.stdout.flush() + oldprogress = progress + sys.stdout.write("Done \n") + sys.stdout.flush() + dispersedprof = DispersedProfile(profiles, dm=dm, freqs=freqs, period=period, + intrinsic=inprof, delayed=do_delay) + return dispersedprof + + +def get_spline_profile(prof, npts=1024, **spline_kwargs): + """Given a profile object evaluate it and return + a SplineProfile object. If the input profile object + is already an instance of SplineProfile, do nothing + and return the input profile. + + Inputs: + prof: The profile object to conver to a SplineProfile. + npts: The number of points to use when evaluating the + profile. (Default: 1024) + **All additional keyword arguments are passed to the + spline constructor. + + Outputs: + spline_prof: The resulting SplineProfile object. + """ + if isinstance(prof, SplineProfile): + # Input profile is already a SplineProfile. Do nothing. Return it. + return prof + else: + phs = np.linspace(0,1, npts, endpoint=False) + profvals = prof(phs)/prof.scale + spline_prof = SplineProfile(profvals, scale=prof.scale, **spline_kwargs) + return spline_prof + + +def vonmises_factory(amp,shape,loc): + """Return a Profile with a single von Mises component. + + Inputs: + amp: Amplitude of the von Mises function. + shape: A parameter characterising the width + (NOTE: this value is not directly the width.) + loc: Phase of the peak of the von Mises function. + + Output: + vm_prof: A Profile object with a von Mises profile described + by the input parameters. + """ + # Need to use a factory for the von Mises functions + # to make sure the lambda uses amp,shape,loc from a local + # scope. The values in a lambda function are stored by reference + # and only looked up dynamically when the function is called. + def vm(ph): + return amp*np.exp(shape*(np.cos(2*np.pi*(ph-loc))-1)) + return Profile(vm) + + +def boxcar_factory(width, delay=0): + """Return a boxcar Profile scaled to have unit area. + + Inputs: + width: The width of the boxcar function in phase. + NOTE: if width > 1, it will be folded + delay: The delay, in phase, to apply to the boxcar. + NOTE: positive delays cause the boxcar to be shifted + (Default: No delay) + to the right (i.e. larger pulse phase) + + Output: + boxcar_prof: A boxcar Profile object with the given width. + """ + width = float(width) # Make sure width is a floating-point number + delay = delay % 1 # Make sure delay is in [0, 1) + nwraps = int(width/1) + rem = ((width%1)+delay)%1 + if delay < rem: + # Boxcar does not straddle phase=1 + def bc(ph): + return (nwraps + ((delay<=ph) & (ph 1: + injected = spectra+toinject + else: + injected = spectra+toinject[:,np.newaxis] + scaled = (injected-minimum)*global_scale + if inplace: + outfil.write_spectra(scaled, lobin) + else: + outfil.append_spectra(scaled) + + # Print progress to screen + progress = int(100.0*hibin/fil.nspec) + if progress > oldprogress: + sys.stdout.write(" %3.0f %%\r" % progress) + sys.stdout.flush() + oldprogress = progress + + # Prepare for next iteration + lobin = hibin + spectra = fil.get_spectra(lobin, lobin+block_size) + numread = spectra.shape[0] + + sys.stdout.write("Done \n") + sys.stdout.flush() + + +def load_profile(infn, verbose=True): + if verbose: + print("Loading profile from file (%s)" % infn) + data = np.load(infn) + profiles = [] + for key in sorted(data.keys()): + profiles.append(SplineProfile(data[key])) + prof = VectorProfile(profiles) + data.close() + return prof + + +def save_profile(prof, outfn, verbose=True): + if verbose: + print("Writing %s instance to file (%s)" % \ + (type(prof).__name__, outfn)) + outfile = open(outfn, 'wb') + profvals = {} + for ii, pp in enumerate(prof.profiles): + profvals['chan%d' % ii] = pp.profvals + np.savez(outfile, **profvals) + outfile.close() + + +def parse_cfgstr(cfgstrs): + cfgs = {} + for cfgstr in cfgstrs: + for cfg in cfgstr.split(','): + key, val = cfg.split('=') + cfgs[key] = val + return cfgs + + +def get_scaling(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string return the corresponding + scaling factor. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + return float(cfgs['scale']) + + +def get_scaling_from_snr(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string compute the scaling factor + given the SNR. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + snr = float(cfgs['snr']) + rms = float(cfgs['rms']) + scale = scale_from_snr(fil, prof, snr=snr, rms=rms) + return scale + + +def get_scaling_from_smean(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string compute the scaling factor + given the target mean flux density. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + smean = float(cfgs['smean']) + rms = float(cfgs['rms']) + gain = float(cfgs['gain']) + tsys = float(cfgs['tsys']) + snr = snr_from_smean(fil, prof, smean=smean, \ + gain=gain, tsys=tsys) + scale = scale_from_snr(fil, prof, snr, rms=rms) + return scale + + +def get_scaling_from_file(fil, prof, cfgstrs): + """Given a target filterbank file, a profile, and + a configuration string read scaling factors from + a text file. The file should have one floating point + number per line. There should be as many lines as there + are frequency channels in the filterbank file. + + Inputs: + fil: A filterbank.FilterbankFile object. + prof: A Profile object. + cfgstrs: A list of strings containing configurations. + + Output: + scaling: The corresponding scaling. + """ + cfgs = parse_cfgstr(cfgstrs) + fn = cfgs['file'] + smean = float(cfgs['smean']) + col = int(cfgs.get('col', 0)) + + area = prof.get_area() + + # 'conversion_factors' contains the per-channel conversion between mJy + # and receiver units (in units of mJy/rcvr) + conversion_factors = np.loadtxt(fn, usecols=(col,)) + + scales = smean/conversion_factors/area + return scales + + +SCALE_METHODS = {'scale': get_scaling, \ + 'snr': get_scaling_from_snr, \ + 'radiometer': get_scaling_from_smean, \ + 'scalefile': get_scaling_from_file} + +def scale_profile(prof, scale_name, scale_cfgstrs, fil, verbose=True): + """Scale the profile. + + Inputs: + prof: The profile object to scale. + scale_name: The name of the type of scaler to use. + scale_cfgstrs: A list of configuration strings for the scaler. + fil: A FilterbankFile object. + verbose: Print extra information. (Default: True) + + Outputs: + None - the scalings are applied directly to the input profile. + """ + # Determine scaling + scale_getter = SCALE_METHODS[scale_name] + scaling = scale_getter(fil, prof, scale_cfgstrs) + if verbose: + print("Band-averaged scale-factor: %g" % np.ma.masked_invalid(scaling).mean()) + prof.set_scaling(scaling) + + +def make_profile(vonmises, verbose=True): + """Create the profile object to use. + + Inputs: + vonmises: A list of strings defining von mises components. + verbose: Print extra information. (Default: True) + """ + comps = create_vonmises_components(vonmises) + prof = MultiComponentProfile(comps) + if verbose: + print("Creating profile. Number of components: %d" % len(comps)) + print("Profile area (intensity x phase): %g" % prof.get_area()) + print("Equivalent width (phase): %g" % prof.get_equivalent_width()) + print("FWHM (phase): %g" % prof.get_fwhm()) + print("Profile maximum: %g" % prof.get_max()) + prof = get_spline_profile(prof) + return prof + + +def main(): + fn = args.infile + if args.inplace: + fil = filterbank.FilterbankFile(fn, mode='readwrite') + else: + fil = filterbank.FilterbankFile(fn, mode='read') + if args.inprof is not None: + warnings.warn("Saved profiles already may be tuned to a particular " \ + "DM, period and filterbank file (freq, nchans, " \ + "tsamp, etc).") + prof = load_profile(args.inprof) + else: + prof = make_profile(args.vonmises) + prof = apply_dm(prof, args.period, args.dm, \ + fil.foff, fil.frequencies, fil.tsamp) + scale_profile(prof, args.scale_name, args.scale_cfgstrs, fil) + if args.outprof is not None: + save_profile(prof, args.outprof) + + outfn = args.outname % fil.header + print("Showing plot of profile to be injected...") + plt.figure() + plt.clf() + prof.plot(dedisp=True) + plt.xlim(0,1) + plt.savefig(outfn+".ps") + if args.dryrun: + sys.exit() + + inject(fil, outfn, prof, args.period, args.dm, \ + nbitsout=args.output_nbits, block_size=args.block_size, \ + pulsar_only=args.pulsar_only, inplace=args.inplace) + + +def parse_model_file(modelfn): + """Parse a pass model file (*.m) written by paas. + Return a list of parameters describing each component. + In particular (amplitude, shape, phase). + + Input: + modelfn: The name of the model file. + + Outputs: + params: List of parameters for each component. + (i.e. "amplitude shape phase") + """ + mfile = open(modelfn, 'r') + return [" ".join(reversed(line.split())) \ + for line in mfile.readlines()] + + +class ParseMfileAction(argparse.Action): + def __call__(self, parser, namespace, values, option_string=None): + vonmises = getattr(namespace, self.dest) + vonmises.extend(parse_model_file(values)) + + +class ScaleHelpAction(argparse.Action): + def __call__(self, parser, namepsace, values, option_string=None): + helptext = "Scaling methods:\n\n" + \ + "scale - Multiply injected signal by a scaling factor\n" + \ + "Configs: 'scale' - (float) the scaling factor\n\n" + \ + "snr - Scale the injected signal so the integrated \n" + \ + " profile has the given SNR\n" + \ + "Configs: 'snr' - (float) the target SNR\n" + \ + " 'rms' - (float) the RMS of the cleaned DM=0 timeseries\n\n" + \ + "radiometer - Scale the injected signal so the integrated \n" + \ + " profile has the given mean flux density\n" + \ + "Configs: 'smean' - (float) the target mean flux density (in mJy)\n" + \ + " 'gain' - (float) the telescope's gain (in K/Jy)\n" + \ + " 'tsys' - (float) the observing system's temperature (in K)\n" + \ + " 'rms' - (float) the RMS of the cleaned DM=0 timeseries\n\n" + \ + "scalefile - Scale the signal in each channel independently\n" + \ + " according to the scaling factors in the file\n" + \ + "Configs: 'smean' - (float) the target mean flux density\n" + \ + " 'file' - (string) a text file containing per-channel \n" + \ + " conversion factors from flux-density to 'receiver' \n" + \ + " units (in mJy/rcvr).\n" + \ + " Each row should have a single floating-point \n" + \ + " number. The number and order of the rows should \n" + \ + " correspond to the input filterbank file.\n" + \ + " 'col' - (int) The column number to read conversion factors \n" +\ + " from. Columns are numbered starting at 0.\n" + \ + " (Default: first column)\n\n" + sys.stderr.write(helptext) + sys.exit(1) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(prog='injectpsr.py', \ + description="v0.7 Patrick Lazarus (Jan 16, 2014)") + parser.add_argument("--dm", dest='dm', type=float, \ + help="The DM of the (fake) injected pulsar signal. " \ + "(This argument is required.", \ + default=None) + parser.add_argument("-p", "--period", dest='period', \ + default=None, type=float, \ + help="The *topocentric* period (in seconds) of the (fake) injected " \ + "pulsar signal. (This argument is required.)") + parser.add_argument("-c", "--scale-configs", dest='scale_cfgstrs', type=str, \ + required=True, default=[], action='append', \ + help="A string of comma-separated parameters to " \ + "configure how the injected signal is scaled. " \ + "Format is '=,...'") + parser.add_argument("-s", "--scale-method", dest='scale_name', type=str, \ + required=True, \ + help="Name of a method for determining how the " \ + "injected signal is scaled.") + parser.add_argument("--scale-help", dest='show_scale_help', \ + nargs=0, action=ScaleHelpAction, \ + help="Show help text for scaling methods, parameters.") + parser.add_argument("-v", "--vonmises", dest='vonmises', action='append', \ + help="A string of 3 parameters defining a vonmises " \ + "component to be injected. Be sure to quote the " \ + "3 parameters together. The params are: 'amplitude " \ + "shape phase'. Amplitude is not related to SNR in " \ + "any way. Also, phase should be between 0 and 1. " \ + "(Default: if no compoments are provided " \ + "a von Mises with amplitude=1.0, shape=5, and " \ + "phase=0.5 will be used.)", \ + default=[]) + parser.add_argument("-m", "--model-file", dest="vonmises", \ + type=str, action=ParseMfileAction, \ + help="A model file (*.m) as written by 'paas'.") + parser.add_argument("--block-size", dest='block_size', default=BLOCKSIZE, \ + type=float, \ + help="Number of spectra per block. This is the amount " \ + "of data manipulated/written at a time. (Default: " \ + " %d spectra)" % BLOCKSIZE) + parser.add_argument("--nbits", dest='output_nbits', default=None, type=int, \ + help="Number of bits per same to use in output " \ + "filterbank file. (Default: same as input file)") + parser.add_argument("-n", "--dryrun", dest="dryrun", action="store_true", \ + help="Show the pulse profile to be injected and exit. " \ + "(Default: do not show profile, inject it)") + parser.add_argument("--no-apply-dm", dest='apply_dm', action='store_false', \ + default=True, \ + help="Do not apply the DM (i.e. do not delay or smear " \ + "the pulse; Default: Apply DM)") + parser.add_argument("--load-prof", dest="inprof", default=None, \ + help="Load a profile object from file. (Default: " \ + "create a fresh profile object.)") + parser.add_argument("--save-prof", dest='outprof', default=None, \ + help="Save a profile object to file. (Default: " \ + "do not save profile object.)") + parser.add_argument("-o", "--outname", dest='outname', \ + default="injected.fil", \ + help="The name of the output file.") + parser.add_argument("--write-pulsar-only", dest='pulsar_only', \ + action='store_true', \ + help="Only write the pulsar signal to the output file. " + "That is, do not include the data from the input " + "file. This is useful for debugging. (Default: " + "write data from input file _and_ pulsar signal.)") + parser.add_argument("--in-place", dest='inplace', \ + action='store_true', \ + help="Inject the pulsar signal in-place. " \ + "THIS WILL OVERWRITE THE INPUT DATAFILE!" \ + "(Default: Do _not_ inject in-place)") + parser.add_argument("infile", \ + help="File that will receive synthetic pulses.") + args = parser.parse_args() + if args.period is None or args.dm is None: + raise ValueError("Both a period and a DM _must_ be provided!") + if args.scale_name is not None and args.inprof is not None: + raise ValueError("Loading a saved profile via the " \ + "'--load-prof' args is incompatible " \ + "with scaling the profile.") + main() diff --git a/lib/python/kuiper.py b/lib/python/kuiper.py index ad65332ed..e44399b75 100644 --- a/lib/python/kuiper.py +++ b/lib/python/kuiper.py @@ -1,5 +1,7 @@ +from __future__ import print_function import numpy as num import Pgplot +from functools import reduce def noverk(n,k): # This is the combinations formula @@ -95,8 +97,8 @@ def kuiper_uniform_test(data, output=0): labx="Fraction of Data", laby="Cumulative Value", width=2) Pgplot.plotxy(num.asarray([0.0, 1.0]), num.asarray([0.0, 1.0]), width=1) Pgplot.closeplot() - print "Max distance between the cumulative distributions (D) = %.5g" % D - print "Prob the data is from the specified distrbution (P) = %.3g" % P + print("Max distance between the cumulative distributions (D) = %.5g" % D) + print("Prob the data is from the specified distrbution (P) = %.3g" % P) return (D, P) if __name__=="__main__": @@ -105,10 +107,10 @@ def kuiper_uniform_test(data, output=0): for ii in range(4): N = 200 data = num.random.random(N) - print "-------" - print "K-S:" + print("-------") + print("K-S:") (D, P) = KS_test(data, cum_uniform_dist, output=1) - print "Kuiper:" + print("Kuiper:") (D, P) = kuiper_uniform_test(data, output=1) if (1): from Pgplot import * diff --git a/lib/python/mpfit.py b/lib/python/mpfit.py index 3133d9bd7..531239aad 100644 --- a/lib/python/mpfit.py +++ b/lib/python/mpfit.py @@ -400,6 +400,7 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) Translated from MPFIT (Craig Markwardt's IDL package) to Python, August, 2002. Mark Rivers """ +from __future__ import print_function import numpy import types @@ -870,11 +871,11 @@ def iterfunct(myfunct, p, iter, fnorm, functkw=None, ## Be sure that PARINFO is of the right type if (parinfo is not None): - if (type(parinfo) != types.ListType): + if (type(parinfo) != list): self.errmsg = 'ERROR: PARINFO must be a list of dictionaries.' return else: - if (type(parinfo[0]) != types.DictionaryType): + if (type(parinfo[0]) != dict): self.errmsg = 'ERROR: PARINFO must be a list of dictionaries.' return if ((xall is not None) and (len(xall) != len(parinfo))): @@ -1342,7 +1343,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, quiet=0, iterstop=None, parinfo=None, format=None, pformat='%.10g', dof=1): - if (self.debug): print 'Entering defiter...' + if (self.debug): print('Entering defiter...') if (quiet): return if (fnorm is None): [status, fvec] = self.call(fcn, x, functkw) @@ -1350,7 +1351,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, ## Determine which parameters to print nprint = len(x) - print "Iter ", ('%6i' % iter)," CHI-SQUARE = ",('%.10g' % fnorm)," DOF = ", ('%i' % dof) + print("Iter ", ('%6i' % iter)," CHI-SQUARE = ",('%.10g' % fnorm)," DOF = ", ('%i' % dof)) for i in range(nprint): if (parinfo is not None) and (parinfo[i].has_key('parname')): p = ' ' + parinfo[i]['parname'] + ' = ' @@ -1361,7 +1362,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, else: iprint = 1 if (iprint): - print p + (pformat % x[i]) + ' ' + print(p + (pformat % x[i]) + ' ') return(0) ## DO_ITERSTOP: @@ -1383,7 +1384,7 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, ## Procedure to parse the parameter values in PARINFO, which is a list of dictionaries def parinfo(self, parinfo=None, key='a', default=None, n=0): - if (self.debug): print 'Entering parinfo...' + if (self.debug): print('Entering parinfo...') if (n == 0) and (parinfo is not None): n = len(parinfo) if (n == 0): values = default @@ -1398,10 +1399,10 @@ def parinfo(self, parinfo=None, key='a', default=None, n=0): # Convert to numeric arrays if possible test = default - if (type(default) == types.ListType): test=default[0] - if isinstance(test, types.IntType): + if (type(default) == list): test=default[0] + if isinstance(test, int): values = numpy.asarray(values, numpy.int) - elif isinstance(test, types.FloatType): + elif isinstance(test, float): values = numpy.asarray(values, numpy.float) return(values) @@ -1409,7 +1410,7 @@ def parinfo(self, parinfo=None, key='a', default=None, n=0): ## Call user function or procedure, with _EXTRA or not, with ## derivatives or not. def call(self, fcn, x, functkw, fjac=None): - if (self.debug): print 'Entering call...' + if (self.debug): print('Entering call...') if (self.qanytied): x = self.tie(x, self.ptied) self.nfev = self.nfev + 1 if (fjac is None): @@ -1426,7 +1427,7 @@ def call(self, fcn, x, functkw, fjac=None): def enorm(self, vec): - if (self.debug): print 'Entering enorm...' + if (self.debug): print('Entering enorm...') ## NOTE: it turns out that, for systems that have a lot of data ## points, this routine is a big computing bottleneck. The extended ## computations that need to be done cannot be effectively @@ -1459,7 +1460,7 @@ def fdjac2(self, fcn, x, fvec, step=None, ulimited=None, ulimit=None, dside=None epsfcn=None, autoderivative=1, functkw=None, xall=None, ifree=None, dstep=None): - if (self.debug): print 'Entering fdjac2...' + if (self.debug): print('Entering fdjac2...') machep = self.machar.machep if epsfcn is None: epsfcn = machep if xall is None: xall = x @@ -1481,7 +1482,7 @@ def fdjac2(self, fcn, x, fvec, step=None, ulimited=None, ulimit=None, dside=None fjac = pderiv if fjac.shape != (m, nall): - print 'ERROR: Derivative matrix was not computed properly.' + print('ERROR: Derivative matrix was not computed properly.') return(None) ## This definition is c1onsistent with CURVEFIT @@ -1672,7 +1673,7 @@ def fdjac2(self, fcn, x, fvec, step=None, ulimited=None, ulimit=None, dside=None def qrfac(self, a, pivot=0): - if (self.debug): print 'Entering qrfac...' + if (self.debug): print('Entering qrfac...') machep = self.machar.machep sz = numpy.shape(a) m = sz[0] @@ -1824,7 +1825,7 @@ def qrfac(self, a, pivot=0): # def qrsolv(self, r, ipvt, diag, qtb, sdiag): - if (self.debug): print 'Entering qrsolv...' + if (self.debug): print('Entering qrsolv...') sz = numpy.shape(r) m = sz[0] n = sz[1] @@ -1891,7 +1892,7 @@ def qrsolv(self, r, ipvt, diag, qtb, sdiag): wa[j] = (wa[j]-sum)/sdiag[j] ## Permute the components of z back to components of x - print "wa = ",wa, ipvt + print("wa = ",wa, ipvt) numpy.put(x, ipvt, wa) return(r, x, sdiag) @@ -1994,7 +1995,7 @@ def qrsolv(self, r, ipvt, diag, qtb, sdiag): def lmpar(self, r, ipvt, diag, qtb, delta, x, sdiag, par=None): - if (self.debug): print 'Entering lmpar...' + if (self.debug): print('Entering lmpar...') dwarf = self.machar.minnum sz = numpy.shape(r) m = sz[0] @@ -2101,7 +2102,7 @@ def lmpar(self, r, ipvt, diag, qtb, delta, x, sdiag, par=None): ## Procedure to tie one parameter to another. def tie(self, p, ptied=None): - if (self.debug): print 'Entering tie...' + if (self.debug): print('Entering tie...') if (ptied is None): return for i in range(len(ptied)): if ptied[i] == '': continue @@ -2179,14 +2180,14 @@ def tie(self, p, ptied=None): def calc_covar(self, rr, ipvt=None, tol=1.e-14): - if (self.debug): print 'Entering calc_covar...' + if (self.debug): print('Entering calc_covar...') if numpy.rank(rr) != 2: - print 'ERROR: r must be a two-dimensional matrix' + print('ERROR: r must be a two-dimensional matrix') return(-1) s = numpy.shape(rr) n = s[0] if s[0] != s[1]: - print 'ERROR: r must be a square matrix' + print('ERROR: r must be a square matrix') return(-1) if (ipvt is None): ipvt = numpy.arange(n) diff --git a/lib/python/parfile.py b/lib/python/parfile.py index f16a0840d..58c141eca 100644 --- a/lib/python/parfile.py +++ b/lib/python/parfile.py @@ -1,3 +1,4 @@ +from __future__ import print_function from types import StringType, FloatType import math, re import psr_utils as pu @@ -199,4 +200,4 @@ def __str__(self): if __name__ == '__main__': a = psr_par("2140-2310A.par") - print a + print(a) diff --git a/lib/python/polycos.py b/lib/python/polycos.py index 0006e65a5..4c351dd67 100644 --- a/lib/python/polycos.py +++ b/lib/python/polycos.py @@ -233,7 +233,7 @@ def create_polycos(parfn, telescope_id, center_freq, start_mjd, end_mjd, \ Output: new_polycos: a polycos object. """ - if type(parfn)==types.StringType: + if type(parfn)==bytes: # assume parfn is a filename par = parfile.psr_par(parfn) else: diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index ed477f0b1..7a1bb651f 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import copy, random, struct, sys import psr_utils, infodata, polycos, Pgplot @@ -120,7 +121,7 @@ def __init__(self, filename): self.bestdm = 0.0 self.numchan = 1 except IOError: - print "Warning! Can't open the .inf file for "+filename+"!" + print("Warning! Can't open the .inf file for "+filename+"!") self.binspersec = self.fold_p1*self.proflen self.chanpersub = self.numchan/self.nsub self.subdeltafreq = self.chan_wid*self.chanpersub @@ -238,7 +239,7 @@ def dedisperse(self, DM=None, interp=0, doppler=0): self.subdelays_bins += new_subdelays_bins self.sumprof = self.profs.sum(0).sum(0) if Num.fabs((self.sumprof/self.proflen).sum() - self.avgprof) > 1.0: - print "self.avgprof is not the correct value!" + print("self.avgprof is not the correct value!") self.currdm = DM def freq_offsets(self, p=None, pd=None, pdd=None): @@ -450,7 +451,7 @@ def adjust_period(self, p=None, pd=None, pdd=None, interp=0): self.sumprof = self.profs.sum(0).sum(0) if Num.fabs((self.sumprof/self.proflen).sum() - self.avgprof) > 1.0: - print "self.avgprof is not the correct value!" + print("self.avgprof is not the correct value!") # Save current p, pd, pdd self.curr_p1, self.curr_p2, self.curr_p3 = p, pd, pdd @@ -462,14 +463,14 @@ def combine_profs(self, new_npart, new_nsub): array of profiles. """ if (self.npart % new_npart): - print "Warning! The new number of intervals (%d) is not a" % new_npart - print " divisor of the original number of intervals (%d)!" % self.npart - print "Doing nothing." + print("Warning! The new number of intervals (%d) is not a" % new_npart) + print(" divisor of the original number of intervals (%d)!" % self.npart) + print("Doing nothing.") return None if (self.nsub % new_nsub): - print "Warning! The new number of subbands (%d) is not a" % new_nsub - print " divisor of the original number of subbands (%d)!" % self.nsub - print "Doing nothing." + print("Warning! The new number of subbands (%d) is not a" % new_nsub) + print(" divisor of the original number of subbands (%d)!" % self.nsub) + print("Doing nothing.") return None dp = self.npart/new_npart @@ -518,8 +519,8 @@ def plot_sumprof(self, device='/xwin'): plot_sumprof(self, device='/xwin'): Plot the dedispersed and summed profile. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() normprof = self.sumprof - min(self.sumprof) normprof /= max(normprof) @@ -547,8 +548,8 @@ def plot_intervals(self, phasebins='All', device='/xwin'): by the phasebins option if it is a tuple (low,high) instead of the string 'All'. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if phasebins is not 'All': lo, hi = phasebins @@ -570,8 +571,8 @@ def plot_subbands(self, phasebins='All', device='/xwin'): by the phasebins option if it is a tuple (low,high) instead of the string 'All'. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if phasebins is not 'All': lo, hi = phasebins @@ -606,8 +607,8 @@ def calc_redchi2(self, prof=None, avg=None, var=None): calc_redchi2(self, prof=None, avg=None, var=None): Return the calculated reduced-chi^2 of the current summed profile. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if prof is None: prof = self.sumprof if avg is None: avg = self.avgprof @@ -713,11 +714,11 @@ def adjust_fold_frequency(self, phasebins, profs=None, shiftsubs=False): If shiftsubs is not False, then actually correct the subbands instead of a 2D projection of them. """ - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() if shiftsubs: - print "Shifting all the subbands..." + print("Shifting all the subbands...") if profs is None: profs = self.profs for ii in range(self.npart): @@ -726,14 +727,14 @@ def adjust_fold_frequency(self, phasebins, profs=None, shiftsubs=False): profs[ii,jj] = psr_utils.rotate(profs[ii,jj], bins_to_shift) redchi = self.calc_redchi2(prof=profs.sum(0).sum(0)) else: - print "Shifting just the projected intervals (not individual subbands)..." + print("Shifting just the projected intervals (not individual subbands)...") if profs is None: profs = self.profs.sum(1) for ii in range(self.npart): bins_to_shift = int(round(float(ii)/self.npart * phasebins)) profs[ii] = psr_utils.rotate(profs[ii], bins_to_shift) redchi = self.calc_redchi2(prof=profs.sum(0)) - print "New reduced-chi^2 =", redchi + print("New reduced-chi^2 =", redchi) return profs, redchi def dynamic_spectra(self, onbins, combineints=1, combinechans=1, @@ -756,8 +757,8 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, numon = len(onbins) numoff = len(offbins) # De-disperse if required first - if not self.__dict__.has_key('subdelays'): - print "Dedispersing first..." + if 'subdelays' not in self.__dict__: + print("Dedispersing first...") self.dedisperse() # The following is the average offpulse level offpulse = Num.sum(Num.take(self.profs, offbins, 2), 2)/float(numoff) @@ -784,7 +785,7 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, # Now reshape and add the neighboring intervals self.DS = Num.reshape(self.DS, (self.DSnpart/combineints, combineints, self.DSnsub)) - print Num.shape(self.DS) + print(Num.shape(self.DS)) self.DS = Num.sum(self.DS, 1) self.DSstart_secs = self.DSstart_secs[::combineints] self.DSintdt *= combineints @@ -802,7 +803,7 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, self.DSsubfreqs = psr_utils.running_avg(self.subfreqs[:self.DSnsub], combinechans) self.DSsubdeltafreq *= combinechans self.DSnsub /= combinechans - print "DS shape = ", Num.shape(self.DS) + print("DS shape = ", Num.shape(self.DS)) # Plot it if required if plot: lof = self.subfreqs[0]-0.5*self.DSsubdeltafreq @@ -826,11 +827,11 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, tp = pfd(testpfd) if (0): - print tp.start_secs - print tp.mid_secs - print tp.start_topo_MJDs - print tp.mid_topo_MJDs - print tp.T + print(tp.start_secs) + print(tp.mid_secs) + print(tp.start_topo_MJDs) + print(tp.mid_topo_MJDs) + print(tp.T) #tp.kill_subbands([6,7,8,9,30,31,32,33]) #tp.kill_intervals([2,3,4,5,6]) @@ -842,21 +843,21 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, (chis, DMs) = tp.plot_chi2_vs_DM(0.0, 50.0, 501) best_index = Num.argmax(chis) - print "Best DM = ", DMs[best_index] + print("Best DM = ", DMs[best_index]) tp.dedisperse() tp.plot_subbands() tp.plot_sumprof() - print "DM =", tp.bestdm, "gives reduced chi^2 =", tp.calc_redchi2() + print("DM =", tp.bestdm, "gives reduced chi^2 =", tp.calc_redchi2()) tp.dedisperse(27.0) tp.plot_subbands() tp.plot_sumprof() - print "DM = 27.0 gives reduced chi^2 =", tp.calc_redchi2() + print("DM = 27.0 gives reduced chi^2 =", tp.calc_redchi2()) tp.dedisperse(33.0) tp.plot_subbands() tp.plot_sumprof() - print "DM = 33.0 gives reduced chi^2 =", tp.calc_redchi2() + print("DM = 33.0 gives reduced chi^2 =", tp.calc_redchi2()) tp.plot_intervals() diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 792f65d5a..345f76d3c 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import numpy.fft as FFT import Pgplot, ppgplot, bisect, sinc_interp, parfile @@ -6,7 +7,7 @@ import scipy.optimize.zeros as zeros from psr_constants import * -isintorlong = lambda x: type(x) == type(0) or type(x) == type(0L) +isintorlong = lambda x: type(x) == type(0) or type(x) == type(0) def span(Min, Max, Number): """ @@ -133,8 +134,8 @@ def KS_test(data, cumdist, output=0): D = max((D1, D2)) P = kolmogorov(Num.sqrt(nn)*D) if (output): - print "Max distance between the cumulative distributions (D) = %.5g" % D - print "Prob the data is from the specified distrbution (P) = %.3g" % P + print("Max distance between the cumulative distributions (D) = %.5g" % D) + print("Prob the data is from the specified distrbution (P) = %.3g" % P) return (D, P) def weighted_mean(arrin, weights_in, inputmean=None, calcerr=False, sdev=False): @@ -453,29 +454,29 @@ def ELL1_check(par_file, output=False): lhs = psr.A1 * psr.E**2.0 * 1e6 except: if output: - print "Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?" + print("Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?") return try: rhs = psr.TRES / Num.sqrt(psr.NTOA) except: if output: - print "Can't compute TRES / sqrt(# TOAs), maybe this isn't a TEMPO output parfile?" + print("Can't compute TRES / sqrt(# TOAs), maybe this isn't a TEMPO output parfile?") return if output: - print "Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:" - print " asini/c * ecc**2 = %8.3g us"%lhs - print " TRES / sqrt(# TOAs) = %8.3g us"%rhs + print("Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:") + print(" asini/c * ecc**2 = %8.3g us"%lhs) + print(" TRES / sqrt(# TOAs) = %8.3g us"%rhs) if lhs * 50.0 < rhs: if output: - print "Should be fine." + print("Should be fine.") return True elif lhs * 5.0 < rhs: if output: - print "Should be OK, but not optimal." + print("Should be OK, but not optimal.") return True else: if output: - print "Should probably use BT or DD instead." + print("Should probably use BT or DD instead.") return False def accel_to_z(accel, T, reffreq, harm=1): @@ -709,16 +710,16 @@ def dm_info(dm=None, dmstep=1.0, freq=1390.0, numchan=512, chanwidth=0.5): Return info about potential DM smearing during an observation. """ BW = chanwidth * numchan - print " Center freq (MHz) = %.3f" % (freq) - print " Number of channels = %d" % (numchan) - print " Channel width (MHz) = %.3g" % (chanwidth) - print " Total bandwidth (MHz) = %.3g" % (BW) - print " DM offset (0.5*step) = %.3g" % (0.5 * dmstep) - print " Smearing over BW (ms) = %.3g" % \ - (1000.0 * dm_smear(0.5 * dmstep, BW, freq)) + print(" Center freq (MHz) = %.3f" % (freq)) + print(" Number of channels = %d" % (numchan)) + print(" Channel width (MHz) = %.3g" % (chanwidth)) + print(" Total bandwidth (MHz) = %.3g" % (BW)) + print(" DM offset (0.5*step) = %.3g" % (0.5 * dmstep)) + print(" Smearing over BW (ms) = %.3g" % \ + (1000.0 * dm_smear(0.5 * dmstep, BW, freq))) if (dm): - print " Smearing per chan (ms) = %.3g" % \ - (1000.0 * dm_smear(dm, chanwidth, freq)) + print(" Smearing per chan (ms) = %.3g" % \ + (1000.0 * dm_smear(dm, chanwidth, freq))) def best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, chanwidth=0.5): """ @@ -730,7 +731,7 @@ def best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, cha tau_chan = dm_smear(dm, chanwidth, freq) tau_samp = dt if (tau_tot**2.0 < (tau_chan**2.0+tau_samp**2.0)): - print "The requested total smearing is smaller than one or more of the components." + print("The requested total smearing is smaller than one or more of the components.") return 0.0 else: return 0.0001205*freq**3.0*2.0/BW*Num.sqrt(tau_tot**2.0-tau_chan**2.0-tau_samp**2.0) @@ -780,12 +781,12 @@ def rrat_period(times, numperiods=20, output=True): numrots = xs.round()[pnum].sum() p = (ts[-1] - ts[0]) / numrots if output: - print "Min, avg, std metric values are %.4f, %.4f, %.4f" % \ - (metric.min(), metric.mean(), metric.std()) - print " Approx period is likely:", ps[pnum] - print "Refined period is likely:", p - print "Rotations between pulses are:" - print dts / p + print("Min, avg, std metric values are %.4f, %.4f, %.4f" % \ + (metric.min(), metric.mean(), metric.std())) + print(" Approx period is likely:", ps[pnum]) + print("Refined period is likely:", p) + print("Rotations between pulses are:") + print(dts / p) return p def guess_DMstep(DM, dt, BW, f_ctr): @@ -1006,11 +1007,11 @@ def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' '* # Splice together the fractional and integer MJDs toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] if dm!=0.0: - print obs+" %13s %8.3f %s %8.2f %9.4f" % \ - (name, freq, toa, toaerr, dm) + print(obs+" %13s %8.3f %s %8.2f %9.4f" % \ + (name, freq, toa, toaerr, dm)) else: - print obs+" %13s %8.3f %s %8.2f" % \ - (name, freq, toa, toaerr) + print(obs+" %13s %8.3f %s %8.2f" % \ + (name, freq, toa, toaerr)) def write_tempo2_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name='unk', flags=""): """ @@ -1021,7 +1022,7 @@ def write_tempo2_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name='unk', toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] if dm != 0.0: flags += "-dm %.4f" % (dm,) - print "%s %f %s %.2f %s %s" % (name,freq,toa,toaerr,obs,flags) + print("%s %f %s %.2f %s %s" % (name,freq,toa,toaerr,obs,flags)) def rotate(arr, bins): """ @@ -1110,7 +1111,7 @@ def downsample(vector, factor): of a vector by an integer factor. """ if (len(vector) % factor): - print "Lenght of 'vector' is not divisible by 'factor'=%d!" % factor + print("Length of 'vector' is not divisible by 'factor'=%d!" % factor) return 0 newvector = Num.reshape(vector, (len(vector)/factor, factor)) return Num.add.reduce(newvector, 1) @@ -1127,9 +1128,9 @@ def measure_phase_corr(profile, template, zoom=10): if (len(template)%len(profile) == 0): zoomprof = zoom*len(template)/len(profile) else: - print "Warning!: The lengths of the template (%d) and profile (%d)" % \ - (len(template), len(profile)) - print " are not the same!" + print("Warning!: The lengths of the template (%d) and profile (%d)" % \ + (len(template), len(profile))) + print(" are not the same!") #itemp = linear_interpolate(rotate(template, Num.argmax(template)), zoomtemp) itemp = linear_interpolate(template, zoomtemp) iprof = linear_interpolate(profile, zoomprof) @@ -1239,7 +1240,7 @@ def read_gaussfitfile(gaussfitfile, proflen): if line.lstrip().startswith("fwhm"): fwhms.append(float(line.split()[2])) if not (len(phass) == len(ampls) == len(fwhms)): - print "Number of phases, amplitudes, and FWHMs are not the same in '%s'!"%gaussfitfile + print("Number of phases, amplitudes, and FWHMs are not the same in '%s'!"%gaussfitfile) return 0.0 phass = Num.asarray(phass) ampls = Num.asarray(ampls) @@ -1325,14 +1326,14 @@ def funct(afpo, profile): resid_std, 2) Pgplot.plotxy([resid_avg, resid_avg], [0.0, 1.0], line=2) Pgplot.closeplot() - print "" - print " Best-fit gaussian integrated 'flux' = ", ret[0][0] - print " Best-fit gaussian FWHM = ", ret[0][1] - print " Best-fit gaussian phase (0.0-1.0) = ", ret[0][2] - print " Baseline (i.e. noise) average = ", ret[0][3] - print " Residuals average = ", resid_avg - print " Residuals standard deviation = ", resid_std - print "" + print("") + print(" Best-fit gaussian integrated 'flux' = ", ret[0][0]) + print(" Best-fit gaussian FWHM = ", ret[0][1]) + print(" Best-fit gaussian phase (0.0-1.0) = ", ret[0][2]) + print(" Baseline (i.e. noise) average = ", ret[0][3]) + print(" Residuals average = ", resid_avg) + print(" Residuals standard deviation = ", resid_std) + print("") return (ret[0][0], ret[0][1], ret[0][2], ret[0][3], resid_avg, resid_std) def twogauss_profile_params(profile, output=0): @@ -1387,17 +1388,17 @@ def min_funct(afpo, profile): resid_std, 2) Pgplot.plotxy([resid_avg, resid_avg], [0.0, 1.0], line=2) Pgplot.closeplot() - print "" - print " Best-fit gaussian integrated 'flux' = ", ret[0][0] - print " Best-fit gaussian FWHM = ", ret[0][1] - print " Best-fit gaussian phase (0.0-1.0) = ", ret[0][2] - print " Best-fit gaussian integrated 'flux' = ", ret[0][3] - print " Best-fit gaussian FWHM = ", ret[0][4] - print " Best-fit gaussian phase (0.0-1.0) = ", ret[0][5] - print " Baseline (i.e. noise) average = ", ret[0][6] - print " Residuals average = ", resid_avg - print " Residuals standard deviation = ", resid_std - print "" + print("") + print(" Best-fit gaussian integrated 'flux' = ", ret[0][0]) + print(" Best-fit gaussian FWHM = ", ret[0][1]) + print(" Best-fit gaussian phase (0.0-1.0) = ", ret[0][2]) + print(" Best-fit gaussian integrated 'flux' = ", ret[0][3]) + print(" Best-fit gaussian FWHM = ", ret[0][4]) + print(" Best-fit gaussian phase (0.0-1.0) = ", ret[0][5]) + print(" Baseline (i.e. noise) average = ", ret[0][6]) + print(" Residuals average = ", resid_avg) + print(" Residuals standard deviation = ", resid_std) + print("") return (ret[0][0], ret[0][1], ret[0][2], ret[0][3], ret[0][4], ret[0][5], ret[0][6], resid_avg, resid_std) @@ -1824,19 +1825,19 @@ def psr_info(porf, pdorfd, time=None, input=None, I=1e45): pdorfd = - pdorfd / (porf * porf) porf = 1.0 / porf [f, fd] = p_to_f(porf, pdorfd) - print "" - print " Period = %f s" % porf - print " P-dot = %g s/s" % pdorfd - print " Frequency = %f Hz" % f - print " F-dot = %g Hz/s" % fd + print("") + print(" Period = %f s" % porf) + print(" P-dot = %g s/s" % pdorfd) + print(" Frequency = %f Hz" % f) + print(" F-dot = %g Hz/s" % fd) if (time): - print " Fourier Freq = %g bins" % (f * time) - print " Fourier F-dot = %g bins" % (fd * time * time) - print " E-dot = %g ergs/s" % pulsar_edot(f, fd, I) - print " Surface B Field = %g gauss" % pulsar_B(f, fd) - print " Characteristic Age = %g years" % pulsar_age(f, fd) - print " Assumed I = %g g cm^2" % I - print "" + print(" Fourier Freq = %g bins" % (f * time)) + print(" Fourier F-dot = %g bins" % (fd * time * time)) + print(" E-dot = %g ergs/s" % pulsar_edot(f, fd, I)) + print(" Surface B Field = %g gauss" % pulsar_B(f, fd)) + print(" Characteristic Age = %g years" % pulsar_age(f, fd)) + print(" Assumed I = %g g cm^2" % I) + print("") def doppler(freq_observed, voverc): """doppler(freq_observed, voverc): diff --git a/lib/python/psrfits.py b/lib/python/psrfits.py index 088874795..bcff68ff5 100644 --- a/lib/python/psrfits.py +++ b/lib/python/psrfits.py @@ -8,6 +8,7 @@ Last Updated: Jul 4, 2016 (Scott Ransom to add 2-bit reading) """ +from __future__ import print_function import re import os import os.path @@ -303,8 +304,8 @@ def __init__(self, filenames): if envval is not None: ival = int(envval) if ((ival > -1) and (ival < self.num_polns)): - print "Using polarisation %d (from 0-%d) from PSRFITS_POLN." % \ - (ival, self.num_polns-1) + print("Using polarisation %d (from 0-%d) from PSRFITS_POLN." % \ + (ival, self.num_polns-1)) self.default_poln = ival self.user_poln = 1 @@ -600,11 +601,11 @@ def debug_mode(mode=None): def main(): specinf = SpectraInfo(args.files) if args.output is not None: - print args.output % specinf + print(args.output % specinf) else: if debug: - print "Reading '%s'" % args.files[0] - print specinf + print("Reading '%s'" % args.files[0]) + print(specinf) if __name__=='__main__': diff --git a/lib/python/pypsrcat.py b/lib/python/pypsrcat.py index 6749e6289..68a9f4cb3 100644 --- a/lib/python/pypsrcat.py +++ b/lib/python/pypsrcat.py @@ -1,3 +1,4 @@ +from __future__ import print_function ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import struct, os, os.path, presto, psr_utils, math @@ -324,7 +325,7 @@ def pack_structs(self): if line[0]=='J': vals = line.split() jname = vals[0][1:] - if pulsars.has_key(jname): + if jname in pulsars: pulsars[jname].alias = vals[2] infile.close() @@ -384,12 +385,12 @@ def pack_structs(self): presto_path = os.getenv("PRESTO") outfilename = os.path.join(presto_path, "lib", "pulsars.cat") outfile = open(outfilename, "w") - print "Writing %d pulsars (%d binaries) to %s" % \ - (len(psrs), num_binaries, outfilename) + print("Writing %d pulsars (%d binaries) to %s" % \ + (len(psrs), num_binaries, outfilename)) for ii, psr in enumerate(psrs): try: outfile.write(psr.pack_structs()) except: - print ii, psr.jname + print(ii, psr.jname) outfile.close() diff --git a/lib/python/residuals.py b/lib/python/residuals.py index d8a0bf3e4..aa648a2fd 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -1,3 +1,4 @@ +from __future__ import print_function # # From the TEMPO Documentation: # @@ -56,7 +57,7 @@ def read_residuals(filename="resid2.tmp"): filelen = infile.tell() if (filelen % reclen or not (reclen==struct.calcsize(rectype))): - print "Warning: possibly reading residuals incorrectly... don't understand record size" + print("Warning: possibly reading residuals incorrectly... don't understand record size") infile.seek(0, 0) # position at file start r.numTOAs = filelen / reclen r.bary_TOA = Num.zeros(r.numTOAs, 'd') diff --git a/lib/python/rfifind.py b/lib/python/rfifind.py index faa3f3d69..85d7f208e 100644 --- a/lib/python/rfifind.py +++ b/lib/python/rfifind.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as np import infodata from scipy.signal import medfilt @@ -189,22 +190,22 @@ def set_zap_chans(self, power=100.0, asigma=5.0, ssigma=2.0, plot=True, self.user_zap_chans | \ self.edge_chans | \ self.no_signal_chans - print "Recommending to zap %d channels:" % len(self.zap_chans) - print " %d channels from Fourier power levels > %.1f" % \ - (len(self.pow_zap_chans), power) - print " %d channels from avgs levels being off by > %.1f sigma" % \ - (len(self.avg_zap_chans), asigma) - print " %d channels from stds levels being off by > %.1f sigma" % \ - (len(self.std_zap_chans), ssigma) - print " %d channels for being within %.3g of the band edge" % \ - (len(self.edge_chans), edges) - print " %d channels were specified by the user" % len(self.user_zap_chans) - print " %d channels for having no variation" % len(self.no_signal_chans) + print("Recommending to zap %d channels:" % len(self.zap_chans)) + print(" %d channels from Fourier power levels > %.1f" % \ + (len(self.pow_zap_chans), power)) + print(" %d channels from avgs levels being off by > %.1f sigma" % \ + (len(self.avg_zap_chans), asigma)) + print(" %d channels from stds levels being off by > %.1f sigma" % \ + (len(self.std_zap_chans), ssigma)) + print(" %d channels for being within %.3g of the band edge" % \ + (len(self.edge_chans), edges)) + print(" %d channels were specified by the user" % len(self.user_zap_chans)) + print(" %d channels for having no variation" % len(self.no_signal_chans)) if usemask: onlymask = self.mask_zap_chans - self.zap_chans - print " The mask recommends %d additional bad channels" % len(onlymask) + print(" The mask recommends %d additional bad channels" % len(onlymask)) if len(onlymask): - print " adding them to the zap_chans list." + print(" adding them to the zap_chans list.") self.zap_chans = self.zap_chans | self.mask_zap_chans self.zap_chans = np.asarray(sorted(list(self.zap_chans))) if plot: self.plot_zapped_bandpass() diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 60cb07910..7e083f968 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import sys import re import os @@ -119,14 +120,14 @@ def sigma_to_size(sigmas): def print_sift_globals(): - print "r_err =", r_err - print "short_period =", short_period - print "long_period =", long_period - print "sigma_threshold =", sigma_threshold - print "c_pow_threshold =", c_pow_threshold - print "harm_pow_cutoff =", harm_pow_cutoff - print "known_birds_p =", known_birds_p - print "known_birds_f =", known_birds_f + print("r_err =", r_err) + print("short_period =", short_period) + print("long_period =", long_period) + print("sigma_threshold =", sigma_threshold) + print("c_pow_threshold =", c_pow_threshold) + print("harm_pow_cutoff =", harm_pow_cutoff) + print("known_birds_p =", known_birds_p) + print("known_birds_f =", known_birds_f) def parse_power(pow): @@ -190,7 +191,7 @@ def add_as_hit(self, other): self.hits.extend(other.hits) def __str__(self): - cand = self.filename + ':' + `self.candnum` + cand = self.filename + ':' + repr(self.candnum) return "%-65s %7.2f %6.2f %6.2f %s %7.1f %7.1f " \ "%12.6f %10.2f %8.2f " % \ (cand, self.DM, self.snr, self.sigma, \ @@ -742,11 +743,11 @@ def remove_duplicate_candidates(self, verbosity=1): None """ if verbosity >= 1: - print " Sorting the %d candidates by frequency..." % \ - self.get_numcands() + print(" Sorting the %d candidates by frequency..." % \ + self.get_numcands()) self.cands.sort(cmp_freq) if verbosity >= 1: - print " Searching for dupes..." + print(" Searching for dupes...") ii = 0 # Find any match while ii < self.get_numcands(): @@ -777,9 +778,9 @@ def remove_duplicate_candidates(self, verbosity=1): (bestcand.filename, bestcand.candnum) self.mark_as_duplicate(matchind) if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (match.filename, match.candnum, matchind) - print " %s" % match.note + print("Removing %s:%d (index: %d)" % \ + (match.filename, match.candnum, matchind)) + print(" %s" % match.note) # If the best candidate isn't at the same freq # as ii, then it's possible even more hits should # be added. So we don't increment the index @@ -787,7 +788,7 @@ def remove_duplicate_candidates(self, verbosity=1): else: ii += 1 # No candidates to be added as hits, move on if verbosity >= 1: - print "Found %d candidates.\n" % self.get_numcands() + print("Found %d candidates.\n" % self.get_numcands()) self.cands.sort(cmp_sigma) def remove_harmonics(self, verbosity=1): @@ -805,7 +806,7 @@ def remove_harmonics(self, verbosity=1): self.cands.sort(cmp_sigma) f_err = r_err/self.cands[0].T if verbosity >= 1: - print "\nSearching for duplicate harmonics..." + print("\nSearching for duplicate harmonics...") ii = 0 while 1: fundcand = self.cands[ii] @@ -813,7 +814,7 @@ def remove_harmonics(self, verbosity=1): zapj = 0 while 1: harmcand = self.cands[jj] - if zapj: print "Hey!" + if zapj: print("Hey!") for factor in Num.arange(1.0, 17.0): if Num.fabs(fundcand.f - harmcand.f*factor) < f_err*factor: zapj = 1 @@ -826,7 +827,7 @@ def remove_harmonics(self, verbosity=1): harmstr = "%dth" % factor if zapj: if verbosity >= 2: - print "Removing %s:%d (%.2f Hz) because it is " \ + print("Removing %s:%d (%.2f Hz) because it is " \ "a harmonic (%s) of %s:%d (%.2f Hz)" % \ (harmcand.filename, \ harmcand.candnum, \ @@ -834,7 +835,7 @@ def remove_harmonics(self, verbosity=1): harmstr, \ fundcand.filename, \ fundcand.candnum, \ - fundcand.f) + fundcand.f)) break # Check a few other common ratios for numer,denom in zip([3.0, 5.0, 2.0, 4.0, 5.0, \ @@ -844,7 +845,7 @@ def remove_harmonics(self, verbosity=1): factor = numer/denom if Num.fabs(fundcand.f-harmcand.f*factor) < f_err*factor: if verbosity >= 2: - print "Removing %s:%d (%.2f Hz) because it is " \ + print("Removing %s:%d (%.2f Hz) because it is " \ "a harmonic (%d/%dth) of %s:%d (%.2f Hz)" % \ (harmcand.filename, \ harmcand.candnum, \ @@ -853,7 +854,7 @@ def remove_harmonics(self, verbosity=1): numer, \ fundcand.filename, \ fundcand.candnum, \ - fundcand.f) + fundcand.f)) harmstr = "%d/%dth" % (denom, numer) zapj = 1 break @@ -867,9 +868,9 @@ def remove_harmonics(self, verbosity=1): numremoved += 1 self.mark_as_bad(jj, 'harmonic') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (harmcand.filename, harmcand.candnum, jj) - print " %s" % harmcand.note + print("Removing %s:%d (index: %d)" % \ + (harmcand.filename, harmcand.candnum, jj)) + print(" %s" % harmcand.note) zapj = 0 jj -= 1 if jj == ii: @@ -878,7 +879,7 @@ def remove_harmonics(self, verbosity=1): if ii >= len(self.cands) - 1: break if verbosity >= 1: - print "Removed a total of %d harmonics.\n" % numremoved + print("Removed a total of %d harmonics.\n" % numremoved) def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): """Remove the candidates where any of the following are true: @@ -917,9 +918,9 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): (len(currcand.hits), numdms) self.mark_as_bad(ii, 'dmproblem') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (currcand.filename, currcand.candnum, ii) - print " %s" % currcand.note + print("Removing %s:%d (index: %d)" % \ + (currcand.filename, currcand.candnum, ii)) + print(" %s" % currcand.note) continue # Remove all the candidates where the max sigma DM is @@ -935,9 +936,9 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): (hitsigma, hitdm, low_DM_cutoff) self.mark_as_bad(ii, 'dmproblem') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (currcand.filename, currcand.candnum, ii) - print " %s" % currcand.note + print("Removing %s:%d (index: %d)" % \ + (currcand.filename, currcand.candnum, ii)) + print(" %s" % currcand.note) continue # Remove all the candidates where there are no hits at consecutive DMs @@ -953,17 +954,17 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): "consecutive DMs don't have hits)." self.mark_as_bad(ii, 'dmproblem') if verbosity >= 2: - print "Removing %s:%d (index: %d)" % \ - (currcand.filename, currcand.candnum, ii) - print " %s" % currcand.note + print("Removing %s:%d (index: %d)" % \ + (currcand.filename, currcand.candnum, ii)) + print(" %s" % currcand.note) continue if verbosity >= 1: - print "Removed %d candidates with DM problems.\n" % numremoved + print("Removed %d candidates with DM problems.\n" % numremoved) if verbosity >= 2: - print " # with too few hits:", num_toofew - print " # with peak SNR too low:", num_toolow - print " # with gaps in DM hits:", num_gaps + print(" # with too few hits:", num_toofew) + print(" # with peak SNR too low:", num_toolow) + print(" # with gaps in DM hits:", num_gaps) def print_cand_summary(self, summaryfilenm=None): """Write a summary of all candidates to file (or stdout). @@ -1215,7 +1216,7 @@ def read_candidates(filenms, prelim_reject=True, track=False): candlist = Candlist(trackbad=track, trackdupes=track) numfiles = len(filenms) if filenms: - print "\nReading candidates from %d files...." % len(filenms) + print("\nReading candidates from %d files...." % len(filenms)) for ii, filenm in enumerate(filenms): curr_candlist = candlist_from_candfile(filenm, trackbad=track, trackdupes=track) if prelim_reject: @@ -1223,9 +1224,9 @@ def read_candidates(filenms, prelim_reject=True, track=False): candlist.extend(curr_candlist) sys.stdout.write(" Read %d of %d files (%d cands)\r" % (ii+1, numfiles, len(candlist))) sys.stdout.flush() - print "\nDone" + print("\nDone") else: - print "Error: There are no candidate files to read!" + print("Error: There are no candidate files to read!") return candlist @@ -1257,9 +1258,9 @@ def sift_directory(dir, outbasenm): # Read candidates found in low acceleration searching lo_accel_fns = glob.glob(os.path.join(dir, '*ACCEL_0')) lo_accel_cands = read_candidates(lo_accel_fns, track=True) - print "Read %d candidates from %d files" % \ - (len(lo_accel_cands), len(lo_accel_fns)) - print "%d candidates passed default rejection" % len(lo_accel_cands) + print("Read %d candidates from %d files" % \ + (len(lo_accel_cands), len(lo_accel_fns))) + print("%d candidates passed default rejection" % len(lo_accel_cands)) if len(lo_accel_cands): lo_accel_cands.remove_duplicate_candidates() if len(lo_accel_cands): @@ -1269,9 +1270,9 @@ def sift_directory(dir, outbasenm): # Read candidates found in high acceleration searching hi_accel_fns = glob.glob(os.path.join(dir, '*ACCEL_50')) hi_accel_cands = read_candidates(hi_accel_fns, track=True) - print "Read %d candidates from %d files" % \ - (len(hi_accel_cands), len(hi_accel_fns)) - print "%d candidates passed default rejection" % len(hi_accel_cands) + print("Read %d candidates from %d files" % \ + (len(hi_accel_cands), len(hi_accel_fns))) + print("%d candidates passed default rejection" % len(hi_accel_cands)) if len(hi_accel_cands): hi_accel_cands.remove_duplicate_candidates() if len(hi_accel_cands): @@ -1283,7 +1284,7 @@ def sift_directory(dir, outbasenm): all_accel_cands.remove_harmonics() # Note: the candidates will be sorted in _sigma_ order, not _SNR_! all_accel_cands.cands.sort(cmp_sigma) - print "Found %d good candidates" % len(all_accel_cands) + print("Found %d good candidates" % len(all_accel_cands)) all_accel_cands.to_file(outbasenm+".accelcands") all_accel_cands.write_cand_report(outbasenm+".accelcands.report") all_accel_cands.print_cand_summary() diff --git a/lib/python/sigproc.py b/lib/python/sigproc.py index 9dca0bdc5..53b57a404 100755 --- a/lib/python/sigproc.py +++ b/lib/python/sigproc.py @@ -1,4 +1,5 @@ #!/usr/bin/env python +from __future__ import print_function import os import struct import sys @@ -75,13 +76,13 @@ def ra2radians(src_raj): def read_doubleval(filfile, stdout=False): dblval = struct.unpack('d', filfile.read(8))[0] if stdout: - print " double value = '%20.15f'"%dblval + print(" double value = '%20.15f'"%dblval) return dblval def read_intval(filfile, stdout=False): intval = struct.unpack('i', filfile.read(4))[0] if stdout: - print " int value = '%d'"%intval + print(" int value = '%d'"%intval) return intval def read_charval(filfile, stdout=False): @@ -93,20 +94,20 @@ def read_charval(filfile, stdout=False): def read_longintval(filfile, stdout=False): longintval = struct.unpack('q', filfile.read(8))[0] if stdout: - print " long int value = '%d'"%longintval + print(" long int value = '%d'"%longintval) return longintval def read_string(filfile, stdout=False): strlen = struct.unpack('i', filfile.read(4))[0] strval = filfile.read(strlen) if stdout: - print " string = '%s'"%strval + print(" string = '%s'"%strval) return strval def read_paramname(filfile, stdout=False): paramname = read_string(filfile, stdout=False) if stdout: - print "Read '%s'"%paramname + print("Read '%s'"%paramname) return paramname def read_hdr_val(filfile, stdout=False): @@ -183,13 +184,13 @@ def samples_per_file(infile, hdrdict, hdrlen): numbytes = os.stat(infile)[6] - hdrlen bytes_per_sample = hdrdict['nchans'] * (hdrdict['nbits']/8) if numbytes % bytes_per_sample: - print "Warning!: File does not appear to be of the correct length!" + print("Warning!: File does not appear to be of the correct length!") numsamples = numbytes / bytes_per_sample return numsamples if __name__ == "__main__": if len(sys.argv)==1: - print "\nusage: mod_filterbank_hdr.py infile.fil [outfile.fil]\n" + print("\nusage: mod_filterbank_hdr.py infile.fil [outfile.fil]\n") sys.exit() filhdr = {} newhdr = "" @@ -210,9 +211,9 @@ def samples_per_file(infile, hdrdict, hdrlen): if param=="HEADER_END": break if len(sys.argv) > 2: - print "Writing new header to '%s'"%sys.argv[2] + print("Writing new header to '%s'"%sys.argv[2]) outfile = open(sys.argv[2], 'wb') outfile.write(newhdr) outfile.close() else: - print filhdr + print(filhdr) diff --git a/lib/python/simple_roots.py b/lib/python/simple_roots.py index 581471ea5..c6e0c3305 100644 --- a/lib/python/simple_roots.py +++ b/lib/python/simple_roots.py @@ -1,3 +1,4 @@ +from __future__ import print_function # 'Safe' Newton-Raphson and Secant method # for numerical root-finding # @@ -13,7 +14,7 @@ def bisect(func, lox, hix, TOL=1e-14, MAXIT=200): f = func(lox) fmid = func(hix) if (f * fmid >= 0.0): - print "Root must be bracketed in bisect()!" + print("Root must be bracketed in bisect()!") return 0.0 if (f < 0.0): dx, rtb = hix - lox, lox @@ -27,7 +28,7 @@ def bisect(func, lox, hix, TOL=1e-14, MAXIT=200): rtb = xmid if (abs(dx) < TOL or fmid == 0.0): return rtb - print "Too many bisections in bisect()!" + print("Too many bisections in bisect()!") return 0.0 @@ -64,7 +65,7 @@ def newton_raphson(func, dfunc, lox, hix, TOL=1.0e-14): maxit = 500 fl, fh = func(lox), func(hix) if ((fl > 0.0 and fh > 0.0) or (fl < 0.0 and fh < 0.0)): - print "Root must be bracketed in newtonRaphson()" + print("Root must be bracketed in newtonRaphson()") return 0.0 if (fl == 0.0): return lox if (fh == 0.0): return hix @@ -97,7 +98,7 @@ def newton_raphson(func, dfunc, lox, hix, TOL=1.0e-14): xl=rts else: xh=rts - print "Maximum number of iterations exceeded in newton_raphson()" + print("Maximum number of iterations exceeded in newton_raphson()") return 0.0 # Test code @@ -115,12 +116,12 @@ def dfunc(x): s = secant(func, 0.0, 3.0) bs = bisect(func, 0.0, 3.0) theo = 1.766340286602865756325301235707 - print '' - print 'Finding the root (between 0.0 and 3.0) of:' - print ' x - sin(x) = pi/4' - print '' - print ' Newton-Raphson gives (default accuracy) = %15.14f' % nr - print ' Secant method gives (default accuracy) = %15.14f' % s - print ' Bisection method gives (default accuracy) = %15.14f' % bs - print 'Theoretical result (correct to all shown digits) = %15.14f' % theo - print '' + print('') + print('Finding the root (between 0.0 and 3.0) of:') + print(' x - sin(x) = pi/4') + print('') + print(' Newton-Raphson gives (default accuracy) = %15.14f' % nr) + print(' Secant method gives (default accuracy) = %15.14f' % s) + print(' Bisection method gives (default accuracy) = %15.14f' % bs) + print('Theoretical result (correct to all shown digits) = %15.14f' % theo) + print('') diff --git a/lib/python/sinc_interp.py b/lib/python/sinc_interp.py index 13104992a..42405476e 100644 --- a/lib/python/sinc_interp.py +++ b/lib/python/sinc_interp.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as Num import scipy.special import numpy.fft as FFT @@ -87,11 +88,11 @@ def windowed_sinc_interp(data, newx, halfwidth=None, lo_pt = int(Num.floor(newx)) - halfwidth if lo_pt < 0: lo_pt < 0 - print "Warning: trying to access below the lowest index!" + print("Warning: trying to access below the lowest index!") hi_pt = lo_pt + 2*halfwidth if hi_pt >= len(data): hi_pt = len(data)-1 - print "Warning: trying to access above the highest index!" + print("Warning: trying to access above the highest index!") halfwidth = (hi_pt-lo_pt)/2 pts = Num.arange(2*halfwidth)+lo_pt xs = newx - pts @@ -109,7 +110,7 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): """ zoomfact = int(zoomfact) if (zoomfact < 1): - print "zoomfact must be >= 1." + print("zoomfact must be >= 1.") return 0.0 elif zoomfact==1: return data diff --git a/lib/python/singlepulse/bary_and_topo.py b/lib/python/singlepulse/bary_and_topo.py index 1941dbc32..dcf507788 100755 --- a/lib/python/singlepulse/bary_and_topo.py +++ b/lib/python/singlepulse/bary_and_topo.py @@ -6,6 +6,7 @@ Modified to return topocentric and corresponding barycentric times. """ +from __future__ import print_function from presto.prestoswig import * import numpy as Num import Pgplot @@ -21,7 +22,7 @@ def read_inffile(filename): '.inf' suffix. """ id = infodata() - print "Reading information from", "\""+filename+".inf\"" + print("Reading information from", "\""+filename+".inf\"") readinf(id, filename) return id @@ -56,7 +57,7 @@ def bary_to_topo(infofilenm, rawdatafile=False, ephem="DE200"): elif (obs.telescope == 'MMT'): tel = 'MT' elif (obs.telescope == 'GBT'): tel = 'GB' else: - print "Telescope not recognized." + print("Telescope not recognized.") return 0 elif filetype=="PSRFITS": if not rawdatafile: @@ -76,7 +77,7 @@ def bary_to_topo(infofilenm, rawdatafile=False, ephem="DE200"): elif (rawdatafile.specinfo.telescope == 'MMT'): tel = 'MT' elif (rawdatafile.specinfo.telescope == 'GBT'): tel = 'GB' else: - print "Telescope not recognized." + print("Telescope not recognized.") return 0 barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) avgvel = Num.add.reduce(vel) / nn diff --git a/lib/python/singlepulse/make_spd.py b/lib/python/singlepulse/make_spd.py deleted file mode 120000 index a87aba5f7..000000000 --- a/lib/python/singlepulse/make_spd.py +++ /dev/null @@ -1 +0,0 @@ -../../../bin/make_spd.py \ No newline at end of file diff --git a/lib/python/singlepulse/make_spd.py b/lib/python/singlepulse/make_spd.py new file mode 100755 index 000000000..4c4dc9493 --- /dev/null +++ b/lib/python/singlepulse/make_spd.py @@ -0,0 +1,568 @@ +#!/usr/bin/env python + +""" +make_spd.py + +Make single pulse plots which include the waterfall plots and dedispersed time series with Zero-DM On/Off. +Also includes Signal-to-noise vs DM and DM vs Time subplots. +Usage on the command line: +python make_spd.py [OPTIONS] + +Chitrang Patel - May. 21, 2015 -- Updated on June 10 2016 +""" +from __future__ import print_function +from __future__ import absolute_import + +import sys +import copy +from time import strftime +from subprocess import Popen, PIPE + +import numpy as np +import optparse +import waterfaller +import psr_utils +from . import plot_spd +import singlepulse.spcand as spcand +import singlepulse.spio as spio +import psrfits +import spectra +#import filterbank need to implement in PRESTO + +DEBUG = True +def print_debug(msg): + if DEBUG: + print(msg) + +def waterfall_array(rawdatafile, start, duration, dm, nbins, nsub, subdm, zerodm, \ + downsamp, scaleindep, width_bins, mask, maskfn, bandpass_corr): + """ + Runs the waterfaller. If dedispersing, there will be extra bins added to the 2D plot. + Inputs: + Inputs required for the waterfaller. dm, nbins, etc. + Outputs: + data: 2D array as an "object" + array: 2D array ready to be plotted by sp_pgplot.plot_waterfall(array). + """ + data, bins, nbins, start = waterfaller.waterfall(rawdatafile, start, duration, dm=dm, nbins=nbins, \ + nsub=nsub, subdm=subdm, zerodm=zerodm, \ + downsamp=downsamp, scaleindep=scaleindep, \ + width_bins=width_bins, mask=mask, \ + maskfn=maskfn, bandpass_corr=bandpass_corr) + array = np.array(data.data) + if dm is not None: # If dedispersing the data, extra bins will be added. We need to cut off the extra bins to get back the appropriate window size. + ragfac = float(nbins)/bins + dmrange, trange = array.shape + nbinlim = np.int(trange * ragfac) + else: + nbinlim = nbins + array = array[..., :nbinlim] + array = (array[::-1]).astype(np.float16) + return data, array + +def make_spd_from_file(spdcand, rawdatafile, \ + txtfile, maskfile, \ + min_rank, group_rank, \ + plot, just_waterfall, \ + integrate_ts, integrate_spec, disp_pulse, \ + loc_pulse, nsub, \ + maxnumcands, \ + basename, \ + mask=False, bandpass_corr=True, barytime=True, \ + man_params=None): + + """ + Makes spd files from output files of rratrap. + Inputs: + spdcand: spcand parameters instance (read in spcand.params) + rawdatafile: psrfits file instance + txtfile: rratrap output file (groups.txt file) + maskfile: rfifind mask file. need this file if you want to remove the bandpass + or use rfifind mask information. + min_rank: plot all groups with rank more than this. min 1, max 6 + group_rank: plot groups ranked whatever you specify + plot: do you want to produce the plots as well? + just_waterfall: Do you just want to make the waterfall plots. + integrate_ts: Do you want to display the dedispersed time series in the plot? + integrate_spec: Do you want to display the pulse spectrum in the plot? + disp_pulse: Do you want to see the inset dispersed pulse in the plot? + loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. + 0.5 = middle of the plot) + maxnumcands: What is the maximum number of candidates you would like to generate? + basename: output basename of the file. Appended with _DM_TIME(s)_RANK.spd + Optional arguments: + mask: Do you want to mask out rfi contaminated channels? + bandpass_corr: Do you want to remove the bandpass? + barytime: Is the given time(s) barycentric? + man_params: Do you want to specify the parameters for waterfalling + manually? If yes, I suggest using the function make_spd_from_man_params(). + (I suggest giving it the rratrap output file) + Outputs: + Binary npz file containing the necessary arrays and header information to generate the spd plots. + """ + numcands=0 # counter for max number of candidates + loop_must_break = False # dont break the loop unless num of cands >100. + files = spio.get_textfile(options.txtfile) + if group_rank: + groups=[group_rank-1] + else: + groups = [i for i in range(6) if(i>=min_rank)][::-1] + + for group in groups: + rank = group+1 + if files[group] != "Number of rank %i groups: 0 "%rank: + values = spio.split_parameters(rank, txtfile) + lis = np.where(files == '\tRank: %i.000000'%rank)[0] + for ii in range(len(values)): + #### Arrays for Plotting DM vs SNR + dm_list, time_list, dm_arr, sigma_arr, width_arr = spio.read_RRATrap_info(txtfile, lis[ii], rank) + + + # Array for Plotting Dedispersed waterfall plot - zerodm - OFF + spdcand.read_from_file(values[ii], rawdatafile.tsamp, rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], \ + rawdatafile, loc_pulse=loc_pulse, dedisp = True, \ + scaleindep = None, zerodm = None, mask = mask, \ + barytime=barytime, \ + nsub = nsub, bandpass_corr = bandpass_corr) + + #make an array to store header information for the spd files + temp_filename = basename+"_DM%.1f_%.1fs_rank_%i"%(spdcand.subdm, \ + spdcand.topo_start_time, rank) + + print_debug("Running waterfaller with Zero-DM OFF...") + + # Add additional information to the header information array + data, Data_dedisp_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + + text_array = np.array([args[0], rawdatafile.specinfo.telescope, \ + rawdatafile.specinfo.ra_str, rawdatafile.specinfo.dec_str, \ + rawdatafile.specinfo.start_MJD[0], \ + rank, spdcand.nsub, spdcand.nbins, spdcand.subdm, \ + spdcand.sigma, spdcand.sample_number, spdcand.duration, \ + spdcand.width_bins, spdcand.pulse_width, rawdatafile.tsamp,\ + rawdatafile.specinfo.T, spdcand.topo_start_time, data.starttime, \ + data.dt,data.numspectra, data.freqs.min(), data.freqs.max()]) + + #### Array for plotting Dedispersed waterfall plot zerodm - ON + print_debug("Running Waterfaller with Zero-DM ON...") + zerodm=True + data, Data_dedisp_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + ####Sweeped without zerodm + spdcand.read_from_file(values[ii], rawdatafile.tsamp, rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], \ + rawdatafile, loc_pulse=loc_pulse, dedisp = None, \ + scaleindep = None, zerodm = None, mask = mask, \ + barytime=barytime, \ + nsub = nsub, bandpass_corr = bandpass_corr) + data, Data_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + text_array = np.append(text_array, spdcand.sweep_duration) + text_array = np.append(text_array, data.starttime) + text_array = np.append(text_array, spdcand.bary_start_time) + text_array = np.append(text_array, man_params) + # Array to Construct the sweep + if spdcand.sweep_dm is not None: + ddm = spdcand.sweep_dm-data.dm + delays = psr_utils.delay_from_DM(ddm, data.freqs) + delays -= delays.min() + delays_nozerodm = delays + freqs_nozerodm = data.freqs + # Sweeped with zerodm-on + zerodm = True + #downsamp_temp = 1 + data, Data_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + # Saving the arrays into the .spd file. + with open(temp_filename+".spd", 'wb') as f: + np.savez_compressed(f, \ + Data_dedisp_nozerodm = Data_dedisp_nozerodm.astype(np.float16),\ + Data_dedisp_zerodm = Data_dedisp_zerodm.astype(np.float16),\ + Data_nozerodm = Data_nozerodm.astype(np.float16),\ + delays_nozerodm = delays_nozerodm, \ + freqs_nozerodm = freqs_nozerodm,\ + Data_zerodm = Data_zerodm.astype(np.float16), \ + dm_arr= map(np.float16, dm_arr),\ + sigma_arr = map(np.float16, sigma_arr), \ + width_arr =map(np.uint8, width_arr),\ + dm_list= map(np.float16, dm_list), \ + time_list = map(np.float16, time_list), \ + text_array = text_array) + #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) + if plot: + print_debug("Now plotting...") + plot_spd.plot(temp_filename+".spd", args[1:], \ + spec_width=1.5, loc_pulse=loc_pulse, \ + xwin=False, outfile=basename, \ + just_waterfall=just_waterfall, \ + integrate_spec=integrate_spec, \ + integrate_ts=integrate_ts, \ + disp_pulse=disp_pulse, tar = None) + print_debug("Finished plot %i " %ii+strftime("%Y-%m-%d %H:%M:%S")) + numcands+= 1 + print_debug('Finished sp_candidate : %i'%numcands) + if numcands >= maxnumcands: # Max number of candidates to plot 100. + loop_must_break = True + break + if loop_must_break: + break + + print_debug("Finished group %i... "%rank+strftime("%Y-%m-%d %H:%M:%S")) + print_debug("Finished running waterfaller... "+strftime("%Y-%m-%d %H:%M:%S")) + +def make_spd_from_man_params(spdcand, rawdatafile, \ + txtfile, maskfile, \ + plot, just_waterfall, \ + subdm, dm, sweep_dm, \ + sigma, \ + start_time, duration, \ + width_bins, nbins, downsamp, \ + nsub, \ + scaleindep, \ + spec_width, loc_pulse, \ + integrate_ts, integrate_spec, disp_pulse, \ + basename, \ + mask, bandpass_corr, barytime, man_params): + """ + Makes spd files from output files of rratrap. + Inputs: + spdcand: spcand parameters instance (read in spcand.params) + rawdatafile: psrfits file instance + txtfile: rratrap output file (groups.txt file) + maskfile: rfifind mask file. need this file if you want to remove the bandpass + or use rfifind mask information. + plot: do you want to produce the plots as well? + just_waterfall: Do you just want to make the waterfall plots. + subdm: DM to use when subbanding. + dm: DM to use when dedispersing data for plot. + sweep_dm: Show the frequency sweep using this DM. + sigma: signal-to-noise of the pulse + start_time: start time of the data to be read in for waterfalling. + duration: duration of data to be waterfalled. + width_bins: Smooth each channel/subband with a boxcar width_bins wide. + nbins: Number of time bins to plot. This option overrides + the duration argument. + downsamp: Factor to downsample in time by. Default: Don't downsample. + nsub: Number of subbands to use. Must be a factor of number of channels. + scaleindep:Do you want to scale each subband independently?(Type: Boolean) + spec_width: Twice this number times the pulse_width around the pulse to consider for the spectrum + loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. + 0.5 = middle of the plot) + integrate_ts: Do you want to display the dedispersed time series in the plot? + integrate_spec: Do you want to display the pulse spectrum in the plot? + disp_pulse: Do you want to see the inset dispersed pulse in the plot? + basename: output basename of the file. Appended with _DM_TIME(s)_RANK.spd + mask: Do you want to mask out rfi contaminated channels? + bandpass_corr: Do you want to remove the bandpass? + barytime: Is the given time(s) barycentric? + man_params: Do you want to specify the parameters for waterfalling + manually? If yes, I suggest using the function make_spd_from_man_params(). + (I suggest giving it the rratrap output file) + Outputs: + Binary npz file containing the necessary arrays and header information to generate the spd plots. + """ + rank = None + if not nsub: + nsub = rawdatafile.nchan + + # Array for Plotting Dedispersed waterfall plot - zerodm - OFF + spdcand.manual_params(subdm, dm, sweep_dm, sigma, start_time, \ + width_bins, downsamp, duration, nbins, nsub, rawdatafile.tsamp, \ + rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], rawdatafile, \ + loc_pulse=loc_pulse, dedisp=True, scaleindep=False, zerodm=False, \ + mask=mask, barytime=barytime, bandpass_corr=bandpass_corr) + #make an array to store header information for the spd files + temp_filename = basename+"_DM%.1f_%.1fs"%(spdcand.subdm, spdcand.topo_start_time) + + print_debug("Running waterfaller with Zero-DM OFF...") + data, Data_dedisp_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + # Add additional information to the header information array + text_array = np.array([args[0], rawdatafile.specinfo.telescope, \ + rawdatafile.specinfo.ra_str, rawdatafile.specinfo.dec_str, \ + rawdatafile.specinfo.start_MJD[0], rank, \ + spdcand.nsub, spdcand.nbins, \ + spdcand.subdm, spdcand.sigma, spdcand.sample_number, \ + spdcand.duration, spdcand.width_bins, spdcand.pulse_width, \ + rawdatafile.tsamp, rawdatafile.specinfo.T, spdcand.topo_start_time, \ + data.starttime, data.dt,data.numspectra, data.freqs.min(), \ + data.freqs.max()]) + + #### Array for plotting Dedispersed waterfall plot zerodm - ON + print_debug("Running Waterfaller with Zero-DM ON...") + zerodm=True + data, Data_dedisp_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + ####Sweeped without zerodm + spdcand.manual_params(subdm, dm, sweep_dm, sigma, start_time, \ + width_bins, downsamp, duration, nbins, nsub, rawdatafile.tsamp, \ + rawdatafile.specinfo.N, \ + rawdatafile.frequencies[0], rawdatafile.frequencies[-1], rawdatafile, \ + loc_pulse=loc_pulse, dedisp=None, scaleindep=None, zerodm=None, mask=mask, \ + barytime=barytime, bandpass_corr=bandpass_corr) + data, Data_nozerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, spdcand.zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + text_array = np.append(text_array, spdcand.sweep_duration) + text_array = np.append(text_array, data.starttime) + text_array = np.append(text_array, spdcand.bary_start_time) + text_array = np.append(text_array, man_params) + # Array to Construct the sweep + if spdcand.sweep_dm is not None: + ddm = spdcand.sweep_dm-data.dm + delays = psr_utils.delay_from_DM(ddm, data.freqs) + delays -= delays.min() + delays_nozerodm = delays + freqs_nozerodm = data.freqs + # Sweeped with zerodm-on + zerodm = True + #downsamp_temp = 1 + data, Data_zerodm = waterfall_array(rawdatafile, spdcand.start, \ + spdcand.duration, spdcand.dm, spdcand.nbins, spdcand.nsub, \ + spdcand.subdm, zerodm, spdcand.downsamp, \ + spdcand.scaleindep, spdcand.width_bins, \ + spdcand.mask, maskfile, spdcand.bandpass_corr) + with open(temp_filename+".spd", 'wb') as f: + np.savez_compressed(f, \ + Data_dedisp_nozerodm = Data_dedisp_nozerodm.astype(np.float16),\ + Data_dedisp_zerodm = Data_dedisp_zerodm.astype(np.float16),\ + Data_nozerodm = Data_nozerodm.astype(np.float16),\ + delays_nozerodm = delays_nozerodm, \ + freqs_nozerodm = freqs_nozerodm,\ + Data_zerodm = Data_zerodm.astype(np.float16), \ + text_array = text_array) + #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) + if plot: + print_debug("Now plotting...") + plot_spd.plot(temp_filename+".spd", args[1:], \ + spec_width=spec_width, loc_pulse=loc_pulse, xwin=False, \ + outfile = basename, just_waterfall=just_waterfall, \ + integrate_spec=integrate_spec, integrate_ts=integrate_ts, \ + disp_pulse=disp_pulse, tar = None) + +def main(): + fn = args[0] + if fn.endswith(".fil"): + # Filterbank file + filetype = "filterbank" + print_debug("Reading filterbank file..") + rawdatafile = filterbank.filterbank(fn) + basename = fn[:-4] + if fn.endswith(".fits"): + # PSRFITS file + filetype = "psrfits" + print_debug("Reading PSRFITS file..") + rawdatafile = psrfits.PsrfitsFile(fn) + basename = fn[:-5] + else: + raise ValueError("Cannot recognize data file type from " + "extension. (Only '.fits' and '.fil' " + "are supported.)") + + if options.outbasenm: + basename=options.outbasenm + spdcand = spcand.params() + if not options.man_params: + print_debug('Maximum number of candidates to plot: %i'%options.maxnumcands) + make_spd_from_file(spdcand, rawdatafile, \ + options.txtfile, options.maskfile, \ + options.min_rank, options.group_rank, \ + options.plot, options.just_waterfall, \ + options.integrate_ts, options.integrate_spec, options.disp_pulse, \ + options.loc_pulse, options.nsub, \ + options.maxnumcands, \ + basename, \ + mask=options.mask, barytime=options.barytime, \ + bandpass_corr=options.bandpass_corr) + else: + print_debug("Making spd files based on mannual parameters. I suggest" \ + "reading in parameters from the groups.txt file.") + make_spd_from_man_params(spdcand, rawdatafile, \ + options.txtfile, options.maskfile, \ + options.plot, options.just_waterfall, \ + options.subdm, options.dm, options.sweep_dms, \ + options.sigma, \ + options.start, options.duration, \ + options.width_bins, options.nbins, options.downsamp, \ + options.nsub, \ + options.scaleindep, \ + options.spec_width, options.loc_pulse, \ + options.integrate_ts, options.integrate_spec, options.disp_pulse, \ + basename, \ + options.mask, options.bandpass_corr, options.barytime, \ + options.man_params) + +if __name__=='__main__': + parser = optparse.OptionParser(prog="sp_pipeline..py", \ + version=" Chitrang Patel (May. 12, 2015)", \ + usage="%prog INFILE(PsrFits FILE, SINGLEPULSE FILES)", \ + description="Create single pulse plots to show the " \ + "frequency sweeps of a single pulse, " \ + "DM vs time, and SNR vs DM,"\ + "in psrFits data.") + parser.add_option('--groupsfile', dest='txtfile', type='string', \ + help="Give the groups.txt file to read in the groups information.", \ + default=None) + parser.add_option('--maskfile', dest='maskfile', type='string', \ + help="Mask file produced by rfifind. Used for " \ + "masking and bandpass correction.", \ + default=None) + parser.add_option('--mask', dest='mask', action="store_true", \ + help="Mask data using rfifind mask (Default: Don't mask).", \ + default=False) + parser.add_option('--numcands', dest='maxnumcands', type='int', \ + help="Maximum number of candidates to plot. (Default: 100).", \ + default=100) + parser.add_option('--subdm', dest='subdm', type='float', \ + help="DM to use when subbanding. (Default: " \ + "same as --dm)", default=None) + parser.add_option('-s', '--nsub', dest='nsub', type='int', \ + help="Number of subbands to use. Must be a factor " \ + "of number of channels. (Default: " \ + "number of channels)", default=None) + parser.add_option('--sigma', dest='sigma', type='float', \ + help="Signal-to-Noise of the pulse." \ + "(Default: Do not specify. In this case you must specify the " \ + "number of subbands.)", \ + default=None) + parser.add_option('-d', '--dm', dest='dm', type='float', \ + help="DM to use when dedispersing data for plot. " \ + "(Default: 0 pc/cm^3)", default=0.0) + parser.add_option('--show-ts', dest='integrate_ts', action='store_true', \ + help="Plot the time series. " \ + "(Default: Dont show the time series)", default=False) + parser.add_option('--show-spec', dest='integrate_spec', action='store_true', \ + help="Plot the spectrum. " \ + "(Default: Do not show the spectrum)", default=False) + parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice " \ + "this number times the pulse width is the window around the " \ + "pulse considered for the spectrum. (Default: 1.5)", \ + default=1.5) + parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of " \ + "the window length where the pulse is located." \ + "(Default: 0.5: half way in.)", \ + default=0.5) + parser.add_option('--show-sweep', dest='disp_pulse', action='store_true', \ + help="Plot the inset dispersed pulse. " \ + "(Default: Do not show the dispersed pulse)", default=False) + parser.add_option('--bandpass', dest='bandpass_corr', action='store_true', \ + help="Correct for the bandpass. Requires an rfifind " \ + "mask provided by --mask option." \ + "(Default: Do not remove bandpass)", default=False) + parser.add_option('-T', '--start-time', dest='start', type='float', \ + help="Time into observation (in seconds) at which " \ + "to start plot.") + parser.add_option('--notopo', dest='barytime', action='store_false', \ + help="Do not topocenter the given time. Use this option " \ + "only if the given time is topocentric." \ + "(Default: topocenter the given barycentric time)", default=True) + parser.add_option('-t', '--duration', dest='duration', type='float', \ + help="Duration (in seconds) of plot.") + parser.add_option('-n', '--nbins', dest='nbins', type='int', \ + help="Number of time bins to plot. This option takes " \ + "precedence over -t/--duration if both are " \ + "provided.") + parser.add_option('--width-bins', dest='width_bins', type='int', \ + help="Smooth each channel/subband with a boxcar " \ + "this many bins wide. (Default: Don't smooth)", \ + default=1) + parser.add_option('--sweep-dm', dest='sweep_dms', type='float', \ + action='append', \ + help="Show the frequency sweep using this DM. " \ + "(Default: Don't show sweep)", default=[]) + parser.add_option('--sweep-posn', dest='sweep_posns', type='float', \ + action='append', \ + help="Show the frequency sweep at this position. " \ + "The position refers to the high-frequency " \ + "edge of the plot. Also, the position should " \ + "be a number between 0 and 1, where 0 is the " \ + "left edge of the plot. " + "(Default: 0)", default=None) + parser.add_option('--downsamp', dest='downsamp', type='int', \ + help="Factor to downsample data by. (Default: 1).", \ + default=1) + parser.add_option('--scaleindep', dest='scaleindep', action='store_true', \ + help="If this flag is set scale each channel " \ + "independently. (Default: Scale using " \ + "global maximum.)", \ + default=False) + parser.add_option('--min-rank', dest='min_rank', type='int',\ + help="Min rank you want to make spd files for. (Default: 3)"\ + " Rank 1: noise,"\ + " Rank 2: RFI,"\ + " Rank 3: maybe astrophysical, very low S/N,"\ + " Rank 4: probably astrophysical but weak, low S/N,"\ + " Rank 5: Very high chance of being astrophysical. S/N>8.0,"\ + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,",\ + default=3) + parser.add_option('--group-rank', dest='group_rank', type='int',\ + help="Min rank you want to make spd files for. (Default: None)"\ + " Rank 1: noise,"\ + " Rank 2: RFI,"\ + " Rank 3: maybe astrophysical, very low S/N,"\ + " Rank 4: probably astrophysical but weak, low S/N,"\ + " Rank 5: Very high chance of being astrophysical. S/N>8.0,"\ + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,",\ + default=None) + parser.add_option('--use_manual_params', dest='man_params', action='store_true', \ + help="If this flag is not set it will use the parameters " \ + "from the RRATrap groups.txt file. "\ + "(Default: Not use this flag. When using "\ + "parameters from the output of rratrap. Just input"\ + "groups.txt file, mask file, the PSRFITs file"\ + "and the .singlepulse files as input. No need to specify any of"\ + " the other arguments.)",\ + default=False) + parser.add_option('-o', dest='outbasenm', type='string', \ + help="basename of the output spd file.", \ + default=None) + parser.add_option('--noplot', dest='plot', action='store_false', \ + help="Do not generate spd plots.", \ + default=True) + parser.add_option('--just-waterfall', dest='just_waterfall', action='store_true', \ + help="Only produce the waterfall plots (frequency vs Time).", \ + default=False) + options, args = parser.parse_args() + + if not args[0].endswith("fits") or args[0].endswith("fil"): + raise ValueError("The first file must be a psrFits or a filterbank file! ") + if (hasattr(options, 'bandpass_corr')) and (not hasattr(options, 'maskfile')): + raise ValueError("For bandpass correction you need to supply a mask file.") + if not hasattr(options, 'man_params'): + if not hasattr(options, 'txtfile'): + raise ValueError("The groups.txt file must be given on the command line! ") + else: + if not hasattr(options, 'start'): + raise ValueError("Start time (-T/--start-time) " \ + "must be given on command line!") + if (not hasattr(options, 'duration')) and (not hasattr(options, 'nbins')): + raise ValueError("One of duration (-t/--duration) " \ + "and num bins (-n/--nbins)" \ + "must be given on command line!") + if options.subdm is None: + options.subdm = options.dm + + main() diff --git a/lib/python/singlepulse/plot_spd.py b/lib/python/singlepulse/plot_spd.py deleted file mode 120000 index 2821b75af..000000000 --- a/lib/python/singlepulse/plot_spd.py +++ /dev/null @@ -1 +0,0 @@ -../../../bin/plot_spd.py \ No newline at end of file diff --git a/lib/python/singlepulse/plot_spd.py b/lib/python/singlepulse/plot_spd.py new file mode 100755 index 000000000..79a5c1a1a --- /dev/null +++ b/lib/python/singlepulse/plot_spd.py @@ -0,0 +1,529 @@ +#! /usr/bin/env python +""" +plot_spd.py + +Generate spd plots either using information from the .spd files that are generated by make_spd.py. +Usage: plot_spd.py [OPTIONS] <.spd file> <.singlepulse files (optional: + if not provided, will leave DM vs Time window blank).> + +Chitrang Patel - June 10, 2016. +""" +from __future__ import print_function +import numpy as np +import optparse +import tarfile +from subprocess import Popen, PIPE +import singlepulse.sp_pgplot as sp_pgplot +import singlepulse.read_spd as read_spd +import singlepulse.spio as spio + +def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ + integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): + """ + Generates spd plots which include the following subplots: + De-dispersed Zero-DM filtered Waterfall plot + De-dispersed Waterfall plot + optional subplots: + Dispersed Zero-DM filtered Waterfall plot (Inset of the corresponding dedispersed plot). + Dispersed Waterfall plot ((Inset of the corresponding dedispersed plot).). + Dedispersed zero-DM filtered time series for the corresponding waterfall plot. + Dedispersed time series for the corresponding waterfall plot. + Spectra of the de-dispersed pulse for each of the above waterfalled plots. + SNR vs DM + DM vs. Time + + Inputs: + spdfile: A .spd file. + Optional Inputs: + spec_width: Twice this number times the pulse_width around the pulse to consider for the spectrum + loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. + 0.5 = middle of the plot) + singlepulsefiles: list of .singlepulse files + xwin: plot in an xwin window? + outfile: name of the output file you want. + just_waterfall: Do you only want to display the waterfall plots? + integrate_spec: Do you want to show the pulse spectrum? + integrate_ts: Do you want to show the time series? + disp_pulse: Do you want to show the inset dispersed pulse? + tar: Supply the tarball of the singlepulse files instead of individual files. + """ + if not spdfile.endswith(".spd"): + raise ValueError("The first file must be a .spd file") + #npzfile = np.load(spdfile) + spdobj = read_spd.spd(spdfile) + ##### Read in the header information and other required variables for the plots. ###### + #text_array = npzfile['text_array'] + man_params = spdobj.man_params + fn = spdobj.filename + telescope = spdobj.telescope + RA = spdobj.ra + dec = spdobj.dec + MJD = spdobj.mjd + mjd = Popen(["mjd2cal", "%f"%MJD], stdout=PIPE, stderr=PIPE) + date, err = mjd.communicate() + date = date.split()[2:5] + rank = spdobj.rank + nsub = spdobj.waterfall_nsubs + nbins = spdobj.nsamp + subdm = dm = sweep_dm = spdobj.best_dm + sigma = spdobj.sigma + sample_number = spdobj.pulse_peak_sample + duration = spdobj.waterfall_duration + width_bins = spdobj.pulsewidth_bins + pulse_width = spdobj.pulsewidth_seconds + tsamp = spdobj.tsamp + Total_observed_time = spdobj.total_obs_time + topo_start = spdobj.pulse_peak_time + start = topo_start - loc_pulse*duration + datastart = spdobj.waterfall_start_time + datasamp = spdobj.waterfall_tsamp + datanumspectra = spdobj.waterfall_prededisp_nbins + min_freq = spdobj.min_freq + max_freq = spdobj.max_freq + sweep_duration = spdobj.sweep_duration + sweeped_start = spdobj.sweep_start_time + bary_start = spdobj.bary_pulse_peak_time + downsamp = datasamp/tsamp + if xwin: + pgplot_device = "/XWIN" + else: + pgplot_device = "" + if pgplot_device: + sp_pgplot.ppgplot.pgopen(pgplot_device) + else: + if (outfile == "spdplot"): # default filename + if rank: + sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + else: + sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + else: + if rank: + sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + else: + sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + if (just_waterfall == False): + sp_pgplot.ppgplot.pgpap(10.25, 8.5/11.0) + # Dedispersed waterfall plot - zerodm - OFF + array = spdobj.data_nozerodm_dedisp.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.50, 0.80) + sp_pgplot.ppgplot.pgswin(datastart-start, datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + if not integrate_spec: + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') + + #### Plot Dedispersed Time series - Zerodm filter - Off + Dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.80, 0.90) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgsci(1) + + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(Dedisp_ts)]) + erry2 = np.array([np.std(Dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - Off + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.5, 0.8) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + + #Dedispersed waterfall plot - Zerodm ON + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.1, 0.40) + sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + if not integrate_spec: + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") + array = spdobj.data_zerodm_dedisp.astype(np.float64) + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') + #### Plot Dedispersed Time series - Zerodm filter - On + dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.40, 0.50) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,dedisp_ts) + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(dedisp_ts)]) + erry2 = np.array([np.std(dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - On + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.1, 0.4) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + + if disp_pulse: + # Sweeped waterfall plot Zerodm - OFF + array = spdobj.data_nozerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.50, 0.70) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + delays = spdobj.dmsweep_delays + freqs = spdobj.dmsweep_freqs + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgslw(3) + + # Sweeped waterfall plot Zerodm - ON + array = spdobj.data_zerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.1, 0.3) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + + #### Figure texts + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.81, 0.97, 0.64, 0.909) + sp_pgplot.ppgplot.pgsch(0.62) + else: + sp_pgplot.ppgplot.pgsvp(0.745, 0.97, 0.64, 0.909) + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" %dec) + sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) + sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + if sigma: + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: %.2f" %sigma) + else: + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) + sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) + sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) + sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) + + #DM vs SNR + if not man_params: + dm_arr = np.float32(spdobj.dmVt_this_dms) + sigma_arr = np.float32 (spdobj.dmVt_this_sigmas) + time_arr = np.float32 (spdobj.dmVt_this_times) + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) + sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95*np.min(sigma_arr), 1.05*np.max(sigma_arr)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") + sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) + else: + dm_arr = np.array([]) + sigma_arr = np.array([]) + time_arr = np.array([]) + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") + + # DM vs Time + print("Making arrays for DM vs time plot") + spfiles = singlepulsefiles + threshold = 5.0 + if len(spfiles) > 2: + dm_list = map(np.float32, list(dm_arr)) + time_list = map(np.float32, list(time_arr)) + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) + dms, times, sigmas, widths, filelist = spio.gen_arrays(dm_arr, spfiles, tar, threshold) + sp_pgplot.dm_time_plot(dms, times, sigmas, dm_list, sigma_arr, time_list, Total_observed_time, xwin) + else: + print("You need a .singlepulse.tgz file to plot DM vs Time plot.") + if integrate_spec: + sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) + else: + sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + else: + #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) + sp_pgplot.ppgplot.pgpap(8.0, 1.5) + # Dedispersed waterfall plot - zerodm - OFF + array = spdobj.data_nozerodm_dedisp.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.44, 0.75) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart -start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') + + #### Plot Dedispersed Time series - Zerodm filter - Off + Dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.75, 0.83) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgsci(1) + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(Dedisp_ts)]) + erry2 = np.array([np.std(Dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - Off + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.7, 0.9, 0.44, 0.75) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + + #Dedispersed waterfall plot - Zerodm ON + array = spdobj.data_zerodm_dedisp.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.05, 0.36) + sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") + sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') + + + #### Plot Dedispersed Time series - Zerodm filter - On + dedisp_ts = array[::-1].sum(axis = 0) + times = np.arange(datanumspectra)*datasamp + if integrate_ts: + sp_pgplot.ppgplot.pgsvp(0.1, 0.7, 0.36, 0.44) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(times,dedisp_ts) + errx1 = np.array([0.60 * (datastart-start+duration)]) + erry1 = np.array([0.60 * np.max(dedisp_ts)]) + erry2 = np.array([np.std(dedisp_ts)]) + errx2 = np.array([pulse_width]) + sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) + sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) + + #### Plot Spectrum - Zerodm filter - On + if integrate_spec: + spectrum_window = spec_width*pulse_width + window_width = int(spectrum_window/datasamp) + #burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins*loc_pulse/downsamp) + on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + Dedisp_spec = on_spec.sum(axis=1) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + sp_pgplot.ppgplot.pgsvp(0.70, 0.90, 0.05, 0.36) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") + sp_pgplot.ppgplot.pgsch(0.7) + sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") + sp_pgplot.ppgplot.pgsch(0.8) + if disp_pulse: + # Sweeped waterfall plot Zerodm - OFF + array = spdobj.data_nozerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.44, 0.65) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + delays = spdobj.dmsweep_delays + freqs = spdobj.dmsweep_freqs + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + sp_pgplot.ppgplot.pgslw(3) + + # Sweeped waterfall plot Zerodm - ON + array = spdobj.data_zerodm.astype(np.float64) + sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.05, 0.25) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgsch(0.8) + sp_pgplot.ppgplot.pgslw(4) + sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) + sp_pgplot.ppgplot.pgsch(3) + sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.ppgplot.pgslw(5) + sweepstart = sweeped_start- 0.2*sweep_duration + sp_pgplot.ppgplot.pgsci(0) + sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgsci(1) + + #### Figure texts + sp_pgplot.ppgplot.pgsvp(0.05, 0.95, 0.8, 0.9) + sp_pgplot.ppgplot.pgsch(0.65) + sp_pgplot.ppgplot.pgslw(3) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" %dec) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + if sigma: + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: %.2f" %sigma) + else: + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgiden() + sp_pgplot.ppgplot.pgclos() + +def main(): + parser = optparse.OptionParser(prog="plot_spd.py", \ + usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") + parser.add_option("-x", "--xwin", action="store_true", dest="xwin", + default=False, help="Don't make a postscript plot, just use an X-window") + parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", \ + help= "give a base name to the saved plot. DM, time and" \ + "rank values will be added automatically" ) + parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" \ + "is the window around the pulse considered for the spectrum. (Default: 1.5)", \ + default=1.5) + parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." \ + "(Default: 0.5 half way in.)", \ + default=0.5) + parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", + default=False, help="Just produce the waterfall plots.") + parser.add_option("--show-spec", action="store_true", dest="integrate_spec", + default=False, help="Show spectrum.(Default: Show spectrum)") + parser.add_option("--show-ts", action="store_true", dest="integrate_ts", + default=False, help="Show time series.(Default: Don't show time series)") + parser.add_option("--show-sweep", action="store_true", dest="disp_pulse", + default=False, help="Show dispersed pulse.(Default: Don't show dispersed pulse)") + (options, args) = parser.parse_args() + + if len(args) == 0: + raise ValueError("need a .spd file and .singlepulse files in that order.") + if not args[0].endswith(".spd"): + raise ValueError("the first file must be a .spd file") + if len(args) == 2: + tar = tarfile.open(args[1], "r:gz")# read in the tarball + filenames = tar.getnames()# get the filenames + plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar)# make the sp plots + tar.close() + else: + plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None)# make the sp plots + +if __name__ == '__main__': + main() diff --git a/lib/python/singlepulse/rrattrap.py b/lib/python/singlepulse/rrattrap.py deleted file mode 120000 index 04fb774a0..000000000 --- a/lib/python/singlepulse/rrattrap.py +++ /dev/null @@ -1 +0,0 @@ -../../../bin/rrattrap.py \ No newline at end of file diff --git a/lib/python/singlepulse/rrattrap.py b/lib/python/singlepulse/rrattrap.py new file mode 100755 index 000000000..4bc52db0f --- /dev/null +++ b/lib/python/singlepulse/rrattrap.py @@ -0,0 +1,824 @@ +#!/usr/bin/env python + +""" +rrattrap.py + +Single pulse sifting code: performs grouping and ranking of single pulses identified by PRESTO's single_pulse_search.py. +Usage: + python rrattrap.py [OPTIONS] --inffile <.inf file> <.singlepulse files> + +Output: + - groups.txt : a file listing all single pulse groups and their ranking. + - several colourized DM vs. time single-pulse plots, for different DM ranges, with colours corresponding to group ratings. + +Chen Karako May 7, 2014 +Updated by Chitrang Patel June 10, 2016. +""" +from __future__ import print_function +import fileinput +import numpy as np +from time import strftime +import glob +import os.path +import infodata +import matplotlib.pyplot as plt +from Pgplot import * +import optparse +import sys +import singlepulse.spio as spio + +FRACTIONAL_SIGMA = 0.9 # change to 0.8? +ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] +DEBUG = True # if True, will be verbose + +def dmthreshold(dm, use_dmplan, min_group=45): + if use_dmplan: + import singlepulse.rrattrap_config as rrattrap_config + dmt, min_group = rrattrap_config.use_dmplan(dm) + else: + dmt = 1 + min_group = min_group + return dmt, min_group + + +class SinglePulseGroup(object): # Greg's modification + """Define single pulse group + """ + __slots__ = ['min_dm', 'max_dm', 'max_sigma', 'center_time', + 'min_time', 'max_time', 'duration', + 'singlepulses', 'numpulses', 'rank'] # Greg's modification + + def __init__(self, dm, sigma, time, sample, downfact): + """SinglePulseGroup constructor. + Takes as input one single pulse (creates a group of one) + inputs DM,Sigma,Time,Sample,Downfact. + """ + self.min_dm = dm + self.max_dm = dm + self.max_sigma = sigma + self.center_time = time + if sample == 0: + dt = 0 # this will ignore events with sample=0. + # better would be to use the inf files + # to determine the dt for these events + else: + dt = time/sample + self.min_time = time-downfact/2.0*dt + self.max_time = time+downfact/2.0*dt + self.duration = self.max_time - self.min_time + self.singlepulses = [(dm,sigma,time,sample,downfact)] + self.numpulses = 1 + self.rank = 0 + + def __cmp__(self, other): + return cmp(ALL_RANKS_ORDERED.index(self.rank), + ALL_RANKS_ORDERED.index(other.rank)) + return dmt + def timeisclose(self,other,use_dmplan,time_thresh=0.5): + """Checks whether the overlap in time of self and other is within + time_thresh. Takes as input other, a SinglePulseGroup object, + as well as the optional input time_thresh (in s). + """ + if self.duration < other.duration: + narrow = self + wide = other + else: + narrow = other + wide = self + time_thresh = dmthreshold(self.min_dm, use_dmplan)[0]*time_thresh + dt = max(time_thresh, narrow.duration/2.0) # always group groups within time_thresh (or duration/2, if longer) of one another + timeisclose = (wide.max_time >= (narrow.center_time - dt)) and\ + (wide.min_time <= (narrow.center_time + dt)) + + return timeisclose + + def dmisclose(self,other,use_dmplan,dm_thresh=0.1): + """Checks whether the DM of self and other is within dm_thresh of one + another. Takes as input other, a SinglePulseGroup object, as well as the optional input dm_thresh (in pc cm-3). + """ + dm_thresh = dmthreshold(self.min_dm, use_dmplan)[0]*dm_thresh + dmisclose = (other.max_dm >= (self.min_dm-dm_thresh)) and\ + (other.min_dm <= (self.max_dm+dm_thresh)) + + return dmisclose + + def combine(self,other): + """combines self and other SinglePulseGroup objects. + takes as input other, a SinglePulseGroup object. + combines in place; nothing returned. + """ + self.min_dm = min(self.min_dm, other.min_dm) + self.max_dm = max(self.max_dm, other.max_dm) + self.min_time = min(self.min_time, other.min_time) + self.max_time = max(self.max_time, other.max_time) + self.max_sigma = max(self.max_sigma, other.max_sigma) + self.duration = self.max_time - self.min_time + self.center_time = (self.min_time + self.max_time)/2.0 + self.numpulses = self.numpulses + other.numpulses + self.singlepulses.extend(other.singlepulses) + + def __str__(self): + s = ["Group of %d single pulses: " % len(self.singlepulses), \ + "\tMin DM (cm-3 pc): %f" % self.min_dm, \ + "\tMax DM (cm-3 pc): %f" % self.max_dm, \ + "\tCenter time (s): %f" % self.center_time, \ + "\tDuration (s): %f" % self.duration, \ + "\tMax sigma: %f" % self.max_sigma, \ + "\tRank: %f" % self.rank] + return '\n'.join(s) + +def create_groups(sps, inffile, min_nearby=1, time_thresh=0.5, \ + dm_thresh=0.1, ignore_obs_end=0, use_dmplan=False): + """Given a recarray of singlepulses return a list of + SinglePulseGroup objects. + + Inputs: + sps: A recarray of single pulse info. + min_nearby: Minimum number of nearby single pulse events + to bother creating a group. + time_thresh: Time-range within which another event must be found + dm_thresh: DM-range within which another event must be found + ignore_obs_end: if non-zero, the time (in seconds) to ignore from + the end of the observation. Useful for beams on which zero-DMing + was applied and caused artifacts in the sp output at the end of + the obs. + + *** NOTE: time_thresh and dm_thresh are used together + + Outputs: + groups: A list of SinglePulseGroup objects. + """ + + Tobs = get_obs_info(inffile)['T'] # duration of observation + if not (0 <= ignore_obs_end < Tobs): + print("Invalid ignore_obs_end value. Value must be: \ + 0 <= ignore_obs_end < Tobs. Setting ignore_obs_end to 0.") + ignore_obs_end = 0 + Tignore = Tobs - ignore_obs_end # sps with t>=Tignore will be ignored + + numsps = len(sps) + # Sort by time + sps.sort(order='time') + groups = [] + for ii in range(numsps): + # Time and DM of current SP event + ctime = sps[ii]['time'] + if ignore_obs_end and (ctime > Tignore): + continue + cdm = sps[ii]['dm'] + ngood = 0 # number of good neighbours + time_thresh = dmthreshold(cdm, use_dmplan)[0]*time_thresh + dm_thresh = dmthreshold(cdm, use_dmplan)[0]*dm_thresh + + jj = ii+1 + while (ngood < min_nearby) and (jj < numsps) and \ + (sps[jj]['time'] < (ctime+time_thresh)): + if abs(sps[jj]['dm'] - cdm) < dm_thresh: + ngood += 1 + jj += 1 + # Look backward as well + jj = ii-1 + while (ngood < min_nearby) and (jj >= 0) and \ + (sps[jj]['time'] > (ctime-time_thresh)): + if abs(sps[jj]['dm'] - cdm) < dm_thresh: + ngood += 1 + jj -= 1 + if ngood >= min_nearby: + # At least min_nearby nearby SP events + grp = SinglePulseGroup(*sps[ii]) + groups.append(grp) + return groups + + +def grouping_sp_dmt(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): + """Groups SinglePulse objects based on proximity in time, DM. + Outputs list of Single Pulse Groups. + """ + didcombine = True + while didcombine: + didcombine = False + groups.sort(key=lambda group: group.min_time) #Sort by time + for i, grp1 in enumerate(groups): + j=i+1 + while (j groups[j].center_time): #Only look at groups that are close in time + if grp1.dmisclose(groups[j], use_dmplan, dm_thresh): + if grp1.timeisclose(groups[j], use_dmplan, time_thresh): + grp1.combine(groups.pop(j)) + didcombine = True + j=j+1 + + +def grouping_rfi(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): + """ + Groups together close groups of RFI, and considers as RFI other groups + that are close to RFI. + """ + didcombine = True + while didcombine: + didcombine = False + # If a group is very close to a group of rfi, set it as rfi + for i in reversed(range(len(groups))): + grp1 = groups[i] + for j in reversed(range(len(groups))): + if j <= i: + continue + grp2 = groups[j] + if (grp1.rank != 2) and (grp2.rank != 2): + continue + if grp1.dmisclose(grp2,use_dmplan,10) and grp1.timeisclose(grp2, use_dmplan, time_thresh): # use bigger time thresh? + grp1.combine(groups.pop(j)) + # FIXME: Should we set as RFI without checking + # sigma behaviour (ie re-check rank) for group? + grp1.rank = 2 # Set as rfi + didcombine = True + + +def grouping_sp_t(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): + """Groups SinglePulse objects based on proximity in time, assuming + the DM difference is no more than DMDIFF=10. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + groups: A list of SinglePulseGroup objects. + """ + DMDIFF = 10 #max allowed DM difference between groups that will be grouped in time + didcombine = True + while didcombine: + didcombine = False + for i, grp1 in enumerate(groups): + for j in range(len(groups)-1,i,-1): + if grp1.timeisclose(groups[j], use_dmplan, time_thresh) and \ + grp1.dmisclose(groups[j],use_dmplan,DMDIFF): # We check if two events + # have similar time and + # a DM difference < DMDIFF + grp1.combine(groups.pop(j)) # Note group rank is not + # updated when combine groups, + # need to re-run ranking after. + didcombine = True + return groups + + +def flag_noise(groups, use_dmplan=False, min_group=45): + """Flag groups as noise based on group size. + If the number of sp events in a group is < min_group, + this group is marked as noise. + + Inputs: + groups: A list of SinglePulseGroup objects. + min_group: The minimum group size that a group must have + in order not to be considered as noise. The + default min_group is MIN_GROUP. + + Outputs: + None + """ + for grp in groups: + min_group = dmthreshold(grp.min_dm, use_dmplan, min_group)[1] + if grp.numpulses < min_group: + grp.rank = 1 + return groups + + +def flag_rfi(groups, close_dm = 2.0): + """Flag groups as RFI based on sigma behavior. + Takes as input list of Single Pulse Groups. + The ranks of the groups are updated in-place. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + None + """ + for grp in groups: + if (grp.rank != 2) and (grp.min_dm <= close_dm): # if grp has not + # yet been marked RFI + for sp in grp.singlepulses: + if (sp[0] <= close_dm) and \ + (sp[1] >= (FRACTIONAL_SIGMA*grp.max_sigma)): + # if any sp in the group has low dm, and its sigma is >= frac sigma*grp.max_sigma, call that grp rfi + grp.rank = 2 + break + + +def rank_groups(groups, use_dmplan=False, min_group=45, min_sigma=8.0): + """Rank groups based on their sigma vs. DM behaviour. + Takes as input list of Single Pulse Groups. + The ranks of the groups are updated in-place. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + None + """ +# divide groups into 5 parts (based on number events) to examine sigma behaviour + for grp in groups: + min_group = dmthreshold(grp.min_dm, use_dmplan, min_group)[1] + if len(grp.singlepulses) < min_group: + grp.rank = 1 + elif grp.rank != 2: # don't overwrite ranks of rfi groups + numsps = len(grp.singlepulses) + # sort list by increasing DM + idmsort = np.argsort([sp[0] for sp in grp.singlepulses]) + + sigmas = np.ma.zeros(np.ceil(numsps/5.0)*5) + sigmas[-numsps:] = np.asarray([sp[1] for sp in grp.singlepulses])[idmsort] + # Mask sigma=0. These are elements added to pad size of array + # to have multiple of 5 elements + # (there should never be actual SPs with sigma=0) + sigmas = np.ma.masked_equal(sigmas, 0.0) + + sigmas.shape = (5, np.ceil(numsps/5.0)) + + maxsigmas = sigmas.max(axis=1) + avgsigmas = sigmas.mean(axis=1) + # standard deviation in signal to noise values in the group. + stdsigmas = sigmas.std(axis=1) + # The largest std deviation + maxstd = np.ma.max(stdsigmas) + # The smallest std deviation + minstd = np.ma.min(stdsigmas) + # The largest maxsigma + maxsigma = np.ma.max(maxsigmas) + # The smallest maxsigma + minsigma = np.ma.min(maxsigmas) + # The largest avgsigma + maxavgsigma = np.ma.max(avgsigmas) + # The smallest avgsigma + minavgsigma = np.ma.min(avgsigmas) + + #if maxavgsigma<1.05*minavgsigma: + if all(stdsigma < 0.1 for stdsigma in stdsigmas): + # Sigmas pretty much constant. Group is RFI + grp.rank = 2 + if maxsigmas[2] > maxsigmas[1]: + if maxsigmas[2] > maxsigmas[3]: + # nearest neighbour subgroups both have smaller sigma + grp.rank = 3 + if (maxsigmas[3] > maxsigmas[4]) and (maxsigmas[1] > maxsigmas[0]): + #next-nearest subgps have sigma < nearest neighbours + grp.rank = 4 + if maxsigmas[2] > min_sigma: + # We want the largest maxsigma to be at least + # 1.15 times bigger than the smallest + grp.rank = 5 + if (avgsigmas[2] > avgsigmas[0]) and \ + (avgsigmas[2] > avgsigmas[4]) and \ + maxsigma>1.15*minsigma: + grp.rank = 6 + else: #ie. maxsigmas[2] <= maxsigmas[3], allowing for asymmetry: + if maxsigmas[1] > maxsigmas[0]: + grp.rank = 3 + if maxsigmas[3] > maxsigmas[4]: + grp.rank = 4 + if maxsigmas[3] > min_sigma: + grp.rank = 5 + if (avgsigmas[3] > avgsigmas[0]) and \ + (avgsigmas[3] > avgsigmas[4]) and \ + maxsigma>1.15*minsigma: + grp.rank = 6 + else: #ie. maxsigma2 >= maxsigma3, allowing for asymmetry: + if (maxsigmas[1] > maxsigmas[0]) and (maxsigmas[2] > maxsigmas[3]): + grp.rank = 3 + if maxsigmas[3] > maxsigmas[4]: + grp.rank = 4 + if maxsigmas[1] > min_sigma: + grp.rank = 5 + if (avgsigmas[1] >= avgsigmas[0]) and \ + (avgsigmas[1] > avgsigmas[4]) and \ + maxsigma>1.15*minsigma: + grp.rank = 6 + if any(stdsigma < 0.1 for stdsigma in stdsigmas) and (grp.max_sigma < 5.5): # if max sigma of the group is less than 5.5 and the sigma distribution is mostly flat, then it is not likely to be astrophysical. + grp.rank = 0 + if grp.rank == 0: + pass + +def check_dmspan(groups, dt, lofreq, hifreq): + """Read in groups and check whether each group's DM span exceeds the threshold. + """ + for grp in groups: + for sp in grp.singlepulses: + if sp[1] == grp.max_sigma: + downsamp = (sp[2]/dt)/sp[3] + width_ms = 1000.0*sp[4]*dt*downsamp + break + if (grp.max_dm-grp.min_dm > 5*spio.theoritical_dmspan(grp.max_sigma, 5.0, width_ms, lofreq, hifreq)): + # checks if the DM span is more than 5 times theoritical dm value. + if not ((grp.rank == 5) or (grp.rank == 6)): #if group is not good or excellent + grp.rank = 2 # then its most likely RFI. + +def get_obs_info(inffile): + """Read in an .inf file to extract observation information. + Return observation RA, Dec, duration, and source name. + """ + inf = infodata.infodata(inffile) + T = inf.dt * inf.N # total observation time (s) + RA = inf.RA + dec = inf.DEC + src = inf.object + MJD = inf.epoch + telescope = inf.telescope + freq = (inf.numchan/2-0.5)*inf.chan_width+inf.lofreq # center freq + return {'T': T, 'RA': RA, 'dec': dec, 'src': src, 'MJD': MJD, 'telescope': telescope, 'freq': freq} + + +def plot_sp_rated_all(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhigh=120): + """Take in dict of Single Pulse Group lists and + plot the DM vs. t for all, with the plotted + colour corresponding to group rank. + The DM range to plot can also be specified. + """ + rank_to_color = {2:'darkgrey', 0:'k', 3:'c', 4:'royalblue', 5:'b', 6:'m'} + + # Prepare data to plot + dm = [] + time = [] + size = [] + colors = [] + for grp in groups: + if grp.rank not in ranks: + continue + if grp.min_dm < yhigh and grp.max_dm > ylow: + for sp in grp.singlepulses: + dm.append(sp[0]) + size.append(np.clip(3*sp[1]-14,0,50)) + time.append(sp[2]) + colors.append(rank_to_color[grp.rank]) + + # Plot + plt.axes() + if len(time): # check if there are points to plot + plt.scatter(time, dm, c=colors, marker='o', s=size, edgecolor='none') + plt.xlabel('Time (s)') + plt.ylabel('DM (pc cm$^{-3}$)') + # if inf file exists, will override xlow and xhigh + # specified when function is called + if get_obs_info(inffile) is not None: # if inf files exist, can get obs info + obsinfo = get_obs_info(inffile) + plt.title('Single Pulse Results for %s\nRA: %s Dec: %s' % + (obsinfo['src'], obsinfo['RA'], obsinfo['dec'])) + xhigh = obsinfo['T'] # set xhigh to observation duration + plt.xlim((xlow, xhigh)) + plt.ylim((ylow, yhigh)) + + print_debug("Saving figure...") + plt.savefig('grouped_sps_DMs%s-%s.png' % (ylow, yhigh), dpi=300) + + +def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhigh=120): + """Plot groups according to their ranks. Uses pgplot rather + than matplotlib for faster, more memory-efficient plotting. + + Inputs: + groups: A list of SinglePulseGroup objects. + ylow (optional): lower y limit to plot. Default: ylow=0. + yhigh (optional): higher y limit to plot. Default: yhigh=100. + xlow (optional): lower x limit to plot. Default: xlow=0. + xhigh (optional): higher x limit to plot. Default: use inf file + to find observation duration, or if inf file unavailable, + use xhigh=120s. + + Outputs: + None; saves a colorized sp plot. + """ + if get_obs_info(inffile) is not None: # if inf files exist, can get obs info + obsinfo = get_obs_info(inffile) + #plt.title('Single Pulse Results for %s\nRA: %s Dec: %s' % + #(obsinfo['src'], obsinfo['RA'], obsinfo['dec'])) + xhigh = obsinfo['T'] # set xhigh to observation duration + ppgplot.pgopen('grouped_pgplot_DMs%s-%s.ps/vcps' % (ylow, yhigh)) + # copying from single_pulse_search.py plotting + ppgplot.pgpap(9, 0.7) # Width in inches, aspect +# ppgplot.pgsvp(0.06, 0.97, 0.08, 0.52) # single_pulse_search.py + ppgplot.pgsvp(0.87, 0.97, 0.80, 0.97) + ppgplot.pgsch(0.9) + ppgplot.pgsci(15) + ppgplot.pgpt(np.array([0.01]), np.array([0.12]), 9) + ppgplot.pgptxt(0.1, 0.1, 0.0, 0.0, '2: RFI') + ppgplot.pgsci(1) + ppgplot.pgpt(np.array([0.01]), np.array([0.27]), 9) + ppgplot.pgptxt(0.1, 0.25, 0.0, 0.0, '0: Noise') + ppgplot.pgsci(5) + ppgplot.pgpt(np.array([0.01]), np.array([0.42]), 9) + ppgplot.pgptxt(0.1, 0.4, 0.0, 0.0, '3: Ok') + ppgplot.pgsci(11) + ppgplot.pgpt(np.array([0.01]), np.array([0.57]), 9) + ppgplot.pgptxt(0.1, 0.55, 0.0, 0.0, '4: Good') + ppgplot.pgsci(4) + ppgplot.pgpt(np.array([0.01]), np.array([0.72]), 9) + ppgplot.pgptxt(0.1, 0.7, 0.0, 0.0, '5:Very Good') + ppgplot.pgsci(6) + ppgplot.pgpt(np.array([0.01]), np.array([0.87]), 9) + ppgplot.pgptxt(0.1, 0.85, 0.0, 0.0, '6: Excellent') + ppgplot.pgsci(1) + + ppgplot.pgsvp(0.06, 0.97, 0.08, 0.80) + #ppgplot.pgenv(xlow, xhigh, ylow, yhigh, 0, 1) #not sure if need 0,1 + ppgplot.pgswin(xlow, xhigh, ylow, yhigh) + ppgplot.pgsch(0.8) + ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) # redundant with pgenv + ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgsch(1.0) + ppgplot.pgmtxt('T', 2.5, 0.3, 0.0, + "Single Pulse Results for %s" % obsinfo['src']) + ppgplot.pgmtxt('T', 1.5, 0.3, 0.0, 'RA: %s Dec: %s' \ + % (obsinfo['RA'], obsinfo['dec'])) + ppgplot.pgmtxt('T', 0.5, 0.2, 0.0, 'Telescope: %s MJD: %s Freq: %.1f MHz'\ + % (obsinfo['telescope'], obsinfo['MJD'], obsinfo['freq'])) + ppgplot.pgsch(0.8) + rank_to_color = {2:15, # grey + 0:1, # black + 3:5, # cyan + 4:11, # dim blue + 5:4, # dark blue + 6:6} # magenta + + # Plotting scheme taken from single_pulse_search.py + # Circles are symbols 20-26 in increasing order + snr_range = 12.0 + spthresh = 5.0 # 5 for gbncc (5.5 plotting), 6 for palfa... + + for grp in groups: + cand_symbols = [] + dm = [] + time = [] + if grp.rank not in ranks: + continue + if grp.min_dm < yhigh and grp.max_dm > ylow: + ppgplot.pgsci(rank_to_color[grp.rank]) + for sp in grp.singlepulses: + dm.append(sp[0]) + time.append(sp[2]) + cand_SNR = sp[1] + # DEBUG: UNCOMMENT first line, then remove next 2 lines + if np.isfinite(cand_SNR): + cand_symbol = int((cand_SNR-spthresh)/snr_range * 6.0 + 20.5) + else: + cand_symbol = 26 + cand_symbols.append(min(cand_symbol, 26)) # biggest circle is 26 + cand_symbols = np.array(cand_symbols) + dm = np.array(dm) + time = np.array(time) + for ii in [26, 25, 24, 23, 22, 21, 20]: + inds = np.nonzero(cand_symbols==ii)[0] + ppgplot.pgpt(time[inds], dm[inds], ii) + ppgplot.pgclos() + + +def print_debug(msg): + if DEBUG: + print(msg) +# print h.heap() + + +def pop_by_rank(groups, rank): + """Remove groups with specified rank from a list of groups. + Removes the groups in place; nothing returned. + + Inputs: + groups: A list of SinglePulseGroup objects. + rank: The rank of groups to be removed. + + Outputs: + None + """ + for j in reversed(range(len(groups))): + if groups[j].rank == rank: + del groups[j] + + +def rank_occur(groups): + """Return a dict of the number of groups of each rank in the groups list. + + Inputs: + groups: A list of SinglePulseGroup objects. + + Outputs: + rank_occur: A dict of ranks and the number of their occurrences + in the groups list. + """ + rank_occur = {} + for grp in groups: + nn = rank_occur.setdefault(grp.rank, 0) + rank_occur[grp.rank] = nn+1 + + return rank_occur + + +#@profile +def main(): + parser = optparse.OptionParser(prog="rrattrap.py", \ + version="Chen Karako, updated by Chitrang Patel(June 23, 2015)",\ + usage="%prog --inffile <.inf file> [options] *.singlepulse",\ + description="Group single pulse events and rank them based on the sigma behavior. \ + Plot DM vs time with different colours for different ranks as follows:\ + \t\tRank 1 (Other) : Grey\ + \t\tRank 2 (RFI) : Red\ + \t\tRank 3 (ok) : Cyan\ + \t\tRank 4 (good) : dim blue\ + \t\tRank 5 (very good) : dark blue\ + \t\tRank 6 (excellent) : Magenta") + + parser.add_option('--CLOSE-DM', dest='close_dm', type='float', \ + help="DM to below which the signalis considered RFI(Default: 2", \ + default=2.0) + parser.add_option('--use-configfile', dest='use_configfile', action='store_true', \ + help="If this flag is set - import the config file for selecting grouping" \ + "parameters.(Default: do not use a config file.)", default=False) + parser.add_option('--use-DMplan', dest='use_DMplan', action='store_true', \ + help="If this flag is set - Use the ddplan for selecting grouping" \ + "parameters. Make sure that you have a corresponding config file containing" \ + "the DDplan. (Default: do not use ddplan)", default=False) + parser.add_option('--min-group', dest='min_group', type='int', \ + help="minimum number of events in a group to no be considered noise." \ + "(Default: 45)", \ + default=45) + parser.add_option('--dm-thresh', dest='dm_thresh', type='float', \ + help="DM threshold to use for nearest neighbour. Suggest a value greater " \ + " than the DM step size(Default: 0.5 pc/cm^3 - will not work if DM " \ + "step size is greater than 0.5)", default=0.5) + parser.add_option('--time-thresh', dest='time_thresh', type='float', \ + help="Time threshold to use for nearest neighbour. Suggest a value that " \ + " is a few times the max pulse width(Default: 0.1 s)", default=0.1) + parser.add_option('--min-sigma', dest='min_sigma', type='float', \ + help="minimum signal-to-noise above which the group is highly considered" \ + "to be astrophysical. (Default: 8.0)", \ + default=8.0) + parser.add_option('--no-plot', dest='plot', action='store_false', \ + help="Do not plot the groups in the DM time plot." \ + "(Default: Make a plot)", default=True) + parser.add_option('--plottype', dest='plottype', type = 'string',\ + help="Make a plot using : 'matplotlib' or 'pgplot'."\ + , default='pgplot') + parser.add_option('--min-rank-to-plot', dest='min_ranktoplot', type = 'int',\ + help="Only groups with rank upto this will plotted.(default: plot \ + all except rank 1)", default=0) + parser.add_option('--min-rank-to-write', dest='min_ranktowrite', type = 'int',\ + help="Only info of the groups with rank upto this will written." \ + "(default: write all except rank 1)", default=0) + parser.add_option('--inffile', dest='inffile', type = 'string',\ + help="A .inf file. I suggest a .rfifind.inf file."\ + , default=None) + parser.add_option('-o', dest='outbasenm', type = 'string',\ + help="outfile base name. .groups.txt will be added to the given name."\ + , default='') + options, args = parser.parse_args() + + if not hasattr(options, 'inffile'): + raise ValueError("You must supply a .inf file. I suggest .rfifind.inf") + + if not options.inffile.endswith(".inf"): + raise ValueError("Cannot recognize file type from extension. " + " Only '.inf' types are supported.") + + if options.use_DMplan or options.use_configfile: + import singlepulse.rrattrap_config as rrattrap_config + + RANKS = np.asarray([2,0,3,4,5,6]) + + if options.use_configfile: + CLOSE_DM = rrattrap_config.CLOSE_DM + MIN_GROUP = rrattrap_config.MIN_GROUP + TIME_THRESH = rrattrap_config.TIME_THRESH + DM_THRESH = rrattrap_config.DM_THRESH + MIN_SIGMA = rrattrap_config.MIN_SIGMA + PLOT = rrattrap_config.PLOT + PLOTTYPE = rrattrap_config.PLOTTYPE + RANKS_TO_WRITE = rrattrap_config.RANKS_TO_WRITE + RANKS_TO_PLOT = rrattrap_config.RANKS_TO_PLOT + else: + CLOSE_DM = options.close_dm + MIN_GROUP = options.min_group + TIME_THRESH = options.time_thresh + DM_THRESH = options.dm_thresh + MIN_SIGMA = options.min_sigma + PLOT = options.plot + PLOTTYPE = options.plottype + RANKS_TO_WRITE = list(RANKS[RANKS>options.min_ranktowrite]) + RANKS_TO_PLOT = list(RANKS[RANKS>options.min_ranktoplot]) + + inffile = options.inffile + inf = infodata.infodata(inffile) + print_debug("Beginning read_sp_files... "+strftime("%Y-%m-%d %H:%M:%S")) + + groups = spio.read_sp_files(args[1:])[0] + print_debug("Finished read_sp_files, beginning create_groups... " + + strftime("%Y-%m-%d %H:%M:%S")) + print_debug("Number of single pulse events: %d " % len(groups)) + + groups = create_groups(groups, inffile, min_nearby=1, ignore_obs_end=10, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH, use_dmplan=options.use_DMplan) # ignore the last 10 seconds of the obs, for palfa + print_debug("Number of groups: %d " % len(groups)) + print_debug("Finished create_groups, beginning grouping_sp_dmt... " + + strftime("%Y-%m-%d %H:%M:%S")) + + grouping_sp_dmt(groups, use_dmplan=options.use_DMplan, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH) + print_debug("Number of groups (after initial grouping): %d " % len(groups)) + print_debug("Finished grouping_sp_dmt, beginning flag_noise... " + + strftime("%Y-%m-%d %H:%M:%S")) + flag_noise(groups, use_dmplan=options.use_DMplan, min_group=MIN_GROUP) # do an initial coarse noise flagging and removal + pop_by_rank(groups, 1) + print_debug("Number of groups (after removed noise gps w <10 sps): %d " % len(groups)) + print_debug("Beginning grouping_sp_t... " + + strftime("%Y-%m-%d %H:%M:%S")) + + # Regroup good groups based on proximity in time only (compensate for missing middles): + groups = grouping_sp_t(groups, use_dmplan=options.use_DMplan, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH) + print_debug("Finished grouping_sp_t. " + strftime("%Y-%m-%d %H:%M:%S")) + + # Flag RFI groups, noise + flag_rfi(groups, close_dm=CLOSE_DM) + # Rank groups and identify noise (<45/40/35/30 sp events) groups + + print_debug("Ranking groups...") + rank_groups(groups, use_dmplan=options.use_DMplan, min_group=MIN_GROUP, min_sigma=MIN_SIGMA) + # Remove noise groups + print_debug("Before removing noise, len(groups): %s" % len(groups)) + pop_by_rank(groups, 1) + print_debug("After removing noise, len(groups): %s" % len(groups)) + + # Group rfi with very close groups + print_debug("len(groups) before grouping_rfi: %s" % len(groups)) + print_debug("Beginning grouping_rfi... " + strftime("%Y-%m-%d %H:%M:%S")) + grouping_rfi(groups, use_dmplan=options.use_DMplan, time_thresh=TIME_THRESH, dm_thresh=DM_THRESH) + print_debug("Finished grouping_rfi. " + + strftime("%Y-%m-%d %H:%M:%S")) + + # Rank groups + print_debug("Finished rank_groups, beginning DM span check... " + + strftime("%Y-%m-%d %H:%M:%S")) + # Remove groups that are likely RFI, based on their large span in DM + print_debug("Beginning DM span check...") + check_dmspan(groups, inf.dt, inf.lofreq, inf.lofreq+inf.BW) + print_debug("Finished DM span check, beginning writing to outfile... " + + strftime("%Y-%m-%d %H:%M:%S")) + + outfile = open(options.outbasenm+'groups.txt', 'w') + summaryfile = open(options.outbasenm+'spsummary.txt', 'w') + + rank_dict = rank_occur(groups) + for rank in sorted(ALL_RANKS_ORDERED): + if rank != 1: + outfile.write("Number of rank %d groups: %d \n" % + (rank, rank_dict.get(rank, 0))) + summaryfile.write("Number of rank %d groups: %d \n" % + (rank, rank_dict.get(rank, 0))) + outfile.write("\n") + summaryfile.close() + + # Reverse sort lists so good groups are written at the top of the file + groups.sort(reverse=True) + + # write list of events in each group + for grp in groups: + if grp.rank in RANKS_TO_WRITE: + outfile.write(str(grp) + '\n') #print group summary + outfile.write('\n') + outfile.write("# DM Sigma Time (s) Sample Downfact \n") + for sp in grp.singlepulses: + outfile.write("%7.2f %7.2f %13.6f %10d %3d \n" % sp) + outfile.write('\n') + outfile.close() + + print_debug("Finished writing to outfile, now plotting... " + + strftime("%Y-%m-%d %H:%M:%S")) + + if PLOT: + ranks = RANKS_TO_PLOT + # Sort groups so better-ranked groups are plotted on top of worse groups + groups.sort() + # create several DM vs t plots, splitting up DM in overlapping intervals + # DMs 0-30, 20-110, 100-300, 300-1000 + if PLOTTYPE.lower() == 'pgplot': + # Use PGPLOT to plot + plot_sp_rated_pgplot(groups, ranks, inffile, 0, 30) + print_debug("Finished PGplotting DMs0-30 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 20, 110) + print_debug("Finished PGplotting DMs20-110 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 100, 310) + print_debug("Finished PGplotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 300, 1000) + print_debug("Finished PGplotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_pgplot(groups, ranks, inffile, 1000, 10000) + print_debug("Finished PGplotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + elif PLOTTYPE.lower() == 'matplotlib': + # Use matplotlib to plot + plot_sp_rated_all(groups, ranks, inffile, 0, 30) + print_debug("Finished plotting DMs0-30 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 20, 110) + print_debug("Finished plotting DMs20-110 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 100, 310) + print_debug("Finished plotting DMs100-310 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 300, 1000) + print_debug("Finished plotting DMs300-1000 "+strftime("%Y-%m-%d %H:%M:%S")) + plot_sp_rated_all(groups, ranks, inffile, 1000, 10000) + print_debug("Finished plotting DMs1000-10000 "+strftime("%Y-%m-%d %H:%M:%S")) + else: + print("Plot type must be one of 'matplotlib' or 'pgplot'. Not plotting.") + + +if __name__ == '__main__': + main() diff --git a/lib/python/singlepulse/sp_pgplot.py b/lib/python/singlepulse/sp_pgplot.py index 11051da6a..405bb0348 100755 --- a/lib/python/singlepulse/sp_pgplot.py +++ b/lib/python/singlepulse/sp_pgplot.py @@ -1,3 +1,4 @@ +from __future__ import print_function ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -135,7 +136,7 @@ def plot_waterfall(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Make sure the input data is a 2D array z = Num.asarray(z); if not len(z.shape)==2: - print 'Input data array must be 2 dimensional.' + print('Input data array must be 2 dimensional.') return # Announce the global variables we will be using global ppgplot_dev_open_, ppgplot_dev_prep_, pgpalette diff --git a/lib/python/singlepulse/spcand.py b/lib/python/singlepulse/spcand.py index ef2ef8415..e6eb5f44e 100755 --- a/lib/python/singlepulse/spcand.py +++ b/lib/python/singlepulse/spcand.py @@ -1,5 +1,6 @@ +from __future__ import absolute_import import numpy as np -import bary_and_topo +from . import bary_and_topo def topo_timeshift(bary_start_time, time_shift, topo): ind = np.where(topo == float(int(bary_start_time)/10*10))[0] return time_shift[ind] diff --git a/lib/python/singlepulse/spio.py b/lib/python/singlepulse/spio.py index 6209acf42..421acdde4 100755 --- a/lib/python/singlepulse/spio.py +++ b/lib/python/singlepulse/spio.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as _np import fileinput as _fileinput from scipy.special import erf @@ -75,8 +76,8 @@ def read_RRATrap_info(groupfile, group_to_read, rank): files = get_textfile(groupfile) if files[rank-1] != "Number of rank %i groups: 0 "%rank: # checks whether there are %i \ # ranked groups in the file. - print files[rank-1] - print "Making arrays for DM vs Signal to Noise..." + print(files[rank-1]) + print("Making arrays for DM vs Signal to Noise...") temp_list = files[group_to_read-6].split() npulses = int(temp_list[2]) temp_lines = files[(group_to_read+3):(group_to_read+npulses+1)] @@ -93,7 +94,7 @@ def read_RRATrap_info(groupfile, group_to_read, rank): sigma_arr = _np.array([arr_2[i][1] for i in range(len(arr))], dtype = _np.float32) width_arr = _np.array([arr_2[i][4] for i in range(len(arr))], dtype = _np.int8) else: - print "No Rank %i groups for this candidate."%rank + print("No Rank %i groups for this candidate."%rank) return dm_list, time_list, dm_arr, sigma_arr, width_arr @@ -229,7 +230,7 @@ def gen_arrays(dm, sp_files, tar, threshold): sp_files = _np.asarray(sp_files)[inds] loidx = _np.argmin(_np.abs(name_DMs-ddm)) hiidx = _np.argmin(_np.abs(name_DMs-hidm)) - print loidx, hiidx + print(loidx, hiidx) singlepulsefiles = list(sp_files[loidx:hiidx]) if tar is not None: diff --git a/python/binopttest/bindata.py b/python/binopttest/bindata.py index 43412f49d..65c425e41 100644 --- a/python/binopttest/bindata.py +++ b/python/binopttest/bindata.py @@ -1,3 +1,4 @@ +from __future__ import print_function def catvar(col): ret = [] global a, b, c, d, e @@ -36,10 +37,10 @@ def saveresults(file="testresults.txt"): 'mf', 'z') f = open(file, 'w') for var in vars: - print 'Saving ', var, '...' + print('Saving ', var, '...') exec('dump(%s, f)' % (var)) f.close() - print 'Saved em.' + print('Saved em.') def quadratic(parameters, x): a = parameters[0] @@ -65,11 +66,11 @@ def genfits(): for i in range(len(xvals[fitvar])): vals.append((xvals[fitvar][i], yvals[fitvar][i])) fit = leastSquaresFit(linear, (1.0, 0.0), vals) - print '%s width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, + print('%s width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, fit[0][0], xtits[fitvar], fit[0][1], - fit[1]) + fit[1])) plotxy(yvals[fitvar], xvals[fitvar], laby=fitvar+' Width (Fractional)', labx=xtits[fitvar], line=None, font=2, @@ -95,11 +96,11 @@ def genlogfits(): for i in range(len(xvals[fitvar])): vals.append((xvals[fitvar][i], yvals[fitvar][i])) fit = leastSquaresFit(linear, (1.0, 0.0), vals) - print 'log(%s) width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, + print('log(%s) width = %10.7f * %s + %10.7f (Acc: %f)' % (fitvar, fit[0][0], xtits[fitvar], fit[0][1], - fit[1]) + fit[1])) plotxy(yvals[fitvar], xvals[fitvar], laby='log('+fitvar+') Width (Fractional)', labx=xtits[fitvar], line=None, font=2, @@ -124,7 +125,7 @@ def help(funct): help(funct): Print the documentation string of a function or method. """ - print eval(funct + '.__doc__') + print(eval(funct + '.__doc__')) from cPickle import * vars = ('psrp', 'orbp', 'orbx', 'orbe', 'orbw', 'orbt', @@ -132,8 +133,8 @@ def help(funct): 'mf', 'z') f = open("testresults.txt") for var in vars: - print 'Loading ', var, '...' + print('Loading ', var, '...') exec(var + ' = asarray(load(f))') f.close() - print 'Got em.' + print('Got em.') diff --git a/python/binopttest/comb.py b/python/binopttest/comb.py index fc4219d88..6e4562931 100644 --- a/python/binopttest/comb.py +++ b/python/binopttest/comb.py @@ -1,3 +1,4 @@ +from __future__ import print_function from Numeric import * from presto import * from LeastSquares import leastSquaresFit @@ -15,19 +16,19 @@ psr.orb.t = 0.0 psr.orb.w = 0.0 z = 2*pi*psr.orb.x/psr.p -print '' -print ' PSR mass =', mpsr -print ' Companion mass =', mc -print ' PSR period (s) =', psr.p -print ' PSR frequency (hz) =', 1.0/psr.p -print ' Orbit period (s) =', psr.orb.p -print ' Orbit asini/c (lt-s) =', psr.orb.x -print ' Orbit eccentricity =', psr.orb.e -print ' Orbit angle (deg) =', psr.orb.w -print ' Orbit time (s) =', psr.orb.t -print ' Orbit Fourier Freq =', T/psr.orb.p -print ' Orbit z =', z -print '' +print('') +print(' PSR mass =', mpsr) +print(' Companion mass =', mc) +print(' PSR period (s) =', psr.p) +print(' PSR frequency (hz) =', 1.0/psr.p) +print(' Orbit period (s) =', psr.orb.p) +print(' Orbit asini/c (lt-s) =', psr.orb.x) +print(' Orbit eccentricity =', psr.orb.e) +print(' Orbit angle (deg) =', psr.orb.w) +print(' Orbit time (s) =', psr.orb.t) +print(' Orbit Fourier Freq =', T/psr.orb.p) +print(' Orbit z =', z) +print('') m = 0 kernel = presto.gen_bin_response(0.0, 1, psr.p, T, psr.orb , presto.LOWACC, m) diff --git a/python/binopttest/montebinopt.py b/python/binopttest/montebinopt.py index 13db876c6..688f7f649 100644 --- a/python/binopttest/montebinopt.py +++ b/python/binopttest/montebinopt.py @@ -1,3 +1,4 @@ +from __future__ import print_function import math, string, Numeric, presto, random, sys, cPickle from LeastSquares import leastSquaresFit from orbitstuff import * @@ -31,12 +32,10 @@ numprocs = mpi.comm_size() if ctype=='WD': if numprocs!=3: - raise SystemExit, \ - 'You need 3 procs for the NS-WD simulation.' + raise SystemExit('You need 3 procs for the NS-WD simulation.') else: if numprocs!=5: - raise SystemExit, \ - 'You need 5 procs for a NS-NS or NS-BH simulation.' + raise SystemExit('You need 5 procs for a NS-NS or NS-BH simulation.') else: myid = 0 @@ -110,23 +109,23 @@ def corr(data, kernel, numbetween, firsttime=0): else: psr = psrparams_from_list(psrlist) if debugout: allproc_print(numprocs, 'Psr period =', psr.p) - print '' - print 'Trial', i + print('') + print('Trial', i) if debugout: - print '' - print ' PSR mass =', mpsr - print ' Companion mass =', mc - print ' PSR period (s) =', psr.p - print ' PSR frequency (hz) =', 1.0/psr.p - print ' Orbit period (s) =', psr.orb.p - print ' Orbit asini/c (lt-s) =', psr.orb.x - print ' Orbit eccentricity =', psr.orb.e - print ' Orbit angle (deg) =', psr.orb.w - print ' Orbit time (s) =', psr.orb.t - print ' Orbit Fourier Freq =', T/psr.orb.p - print ' Orbit z =', \ - presto.TWOPI*psr.orb.x/psr.p - print '' + print('') + print(' PSR mass =', mpsr) + print(' Companion mass =', mc) + print(' PSR period (s) =', psr.p) + print(' PSR frequency (hz) =', 1.0/psr.p) + print(' Orbit period (s) =', psr.orb.p) + print(' Orbit asini/c (lt-s) =', psr.orb.x) + print(' Orbit eccentricity =', psr.orb.e) + print(' Orbit angle (deg) =', psr.orb.w) + print(' Orbit time (s) =', psr.orb.t) + print(' Orbit Fourier Freq =', T/psr.orb.p) + print(' Orbit z =', \ + presto.TWOPI*psr.orb.x/psr.p) + print('') # Create the data set cand = presto.orbitparams() @@ -194,8 +193,8 @@ def corr(data, kernel, numbetween, firsttime=0): Numeric.maximum.reduce(respow))) if debugout: # Print the most recent results - print ' %s: Delta = %10.6f Response = %8.5f' % \ - (myjob, vals[-1][0], vals[-1][1]) + print(' %s: Delta = %10.6f Response = %8.5f' % \ + (myjob, vals[-1][0], vals[-1][1])) if showplots and not parallel: # Plot the results of the correlation Pgplot.plotxy(respow, labx='Frequency', @@ -209,9 +208,9 @@ def corr(data, kernel, numbetween, firsttime=0): # Fit a quadratic to the width values fit = leastSquaresFit(quadratic, (-1.0, 0.0, 1.0), vals) if debugout: - print '\n %sfit = %fx^2 + %fx + %f\n' % (myjob, fit[0][0], + print('\n %sfit = %fx^2 + %fx + %f\n' % (myjob, fit[0][0], fit[0][1], - fit[0][2]) + fit[0][2])) width = 2.0*math.sqrt(-0.5/fit[0][0]) if parallel: newwidths = mpi.gather_string(str(width), 0) @@ -222,7 +221,7 @@ def corr(data, kernel, numbetween, firsttime=0): psrlist.append(width) widths.append(psrlist) if debugout: - print 'Widths are', widths[i] + print('Widths are', widths[i]) # Save our most recent orbit and width information cPickle.dump(widths[i], file, 1) file.close() diff --git a/python/binresponses/monte_ffdot.py b/python/binresponses/monte_ffdot.py index 8f3e65b3e..6ae4bd208 100644 --- a/python/binresponses/monte_ffdot.py +++ b/python/binresponses/monte_ffdot.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -39,7 +40,7 @@ from mpihelp import * myid = mpi.comm_rank() numprocs = mpi.comm_size() - outfilenm = (outfiledir+'/'+outfilenm+`myid`+ + outfilenm = (outfiledir+'/'+outfilenm+repr(myid)+ '_'+searchtype+'_'+ctype+'.out') else: myid = 0 @@ -98,15 +99,15 @@ def predict_mini_r(fftlen, Pb, T): orbi = orbi / sqrt(orbsperpt[ctype]) wb, tp = orbf * 180.0, Pb * orbi if debugout: - print 'T = '+`T`+' ppsr = '+`ppsr[y]`+\ - ' Pb = '+`Pb`+' xb = '+`xb`+' eb = '+\ - `eb`+' wb = '+`wb`+' tp = '+`tp` + print('T = '+repr(T)+' ppsr = '+repr(ppsr[y])+\ + ' Pb = '+repr(Pb)+' xb = '+repr(xb)+' eb = '+\ + repr(eb)+' wb = '+repr(wb)+' tp = '+repr(tp)) psr = psrparams_from_list([ppsr[y], Pb, xb, eb, wb, tp]) psr_numbins = 2 * bin_resp_halfwidth(psr.p, T, psr.orb) psr_resp = gen_bin_response(0.0, 1, psr.p, T, psr.orb, psr_numbins) if showplots: - print "The raw response:" + print("The raw response:") Pgplot.plotxy(spectralpower(psr_resp)) Pgplot.closeplot() # The following places the nominative psr freq @@ -128,8 +129,8 @@ def predict_mini_r(fftlen, Pb, T): # ' TbyPb[x] = '+`TbyPb[x]`+\ # ' ppsr[y] = '+`ppsr[y]`+\ # ' len(data) = '+`len(data)` - print ' tryr = %11.5f tryz = %11.5f' % \ - (tryr, tryz) + print(' tryr = %11.5f tryz = %11.5f' % \ + (tryr, tryz)) ffd = ffdot_plane(data, tryr, dr, numr, tryz, dz, numz) maxarg = argmax(spectralpower(ffd.flat)) @@ -152,8 +153,8 @@ def predict_mini_r(fftlen, Pb, T): image="astro") Pgplot.closeplot() if debugout: - print 'peakr = %11.5f peakz = %11.5f' % \ - (peakr, peakz) + print('peakr = %11.5f peakz = %11.5f' % \ + (peakr, peakz)) if (peakpow < 0.2): pows[ct] = peakpow rmax = peakr @@ -163,14 +164,14 @@ def predict_mini_r(fftlen, Pb, T): maximize_rz(data, peakr, peakz, \ norm=1.0) if debugout: - print 'max_r = %11.5f max_z = %11.5f' % \ - (rmax, zmax) + print('max_r = %11.5f max_z = %11.5f' % \ + (rmax, zmax)) if debugout: - print `x`+' '+`y`+' '+`TbyPb[x]`+' ', - print `ppsr[y]`+' '+`pows[ct]` + print(repr(x)+' '+repr(y)+' '+repr(TbyPb[x])+' ', end=' ') + print(repr(ppsr[y])+' '+repr(pows[ct])) tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') file.write('%5d %9.6f %8.6f %11.9f %11.9f %11.9f\n' % \ (y * numTbyPb + x, TbyPb[x], ppsr[y], \ average(pows), max(pows), min(pows))) diff --git a/python/binresponses/monte_short.py b/python/binresponses/monte_short.py index 7448c0670..4e26df17d 100644 --- a/python/binresponses/monte_short.py +++ b/python/binresponses/monte_short.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -31,7 +32,7 @@ ################################################## outfilenm = (outfiledir+'/'+outfilenm+ - '_'+searchtype+`Tfft`+'_'+ctype+'.out') + '_'+searchtype+repr(Tfft)+'_'+ctype+'.out') def psrparams_from_list(pplist): psr = psrparams() @@ -65,15 +66,15 @@ def psrparams_from_list(pplist): pwrs_w = zeros((orbsperpt[ctype], numbins), Float32) for ct in range(orbsperpt[ctype]): wb = ct * 180.0 / orbsperpt[ctype] - if debugout: print 'wb = '+`wb` + if debugout: print('wb = '+repr(wb)) psr = psrparams_from_list([pp, Pb, xb, ecc[ctype], wb, 0.0]) for i in range(numffts): psr.orb.t = i * Tfft tmppwrs = spectralpower(gen_bin_response(0.0, numbetween, psr.p, Tfft, psr.orb, numbins)) - if debugout: print ' tb = '+`psr.orb.t`+' Max pow = '+\ - `max(tmppwrs)` + if debugout: print(' tb = '+repr(psr.orb.t)+' Max pow = '+\ + repr(max(tmppwrs))) if showplots: Pgplot.plotxy(tmppwrs) Pgplot.closeplot() @@ -88,7 +89,7 @@ def psrparams_from_list(pplist): Pgplot.closeplot() tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') file.write('%8.6f %10.5f %10d %13.9f\n' % \ (pp, Tfft, int(Tfft/dt), max_avg_pow)) file.flush() diff --git a/python/binresponses/monte_sideb.py b/python/binresponses/monte_sideb.py index 716d610b6..575ed95b5 100644 --- a/python/binresponses/monte_sideb.py +++ b/python/binresponses/monte_sideb.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -56,7 +57,7 @@ from mpihelp import * myid = mpi.comm_rank() numprocs = mpi.comm_size() - outfilenm = (outfiledir+'/'+outfilenm+`myid`+ + outfilenm = (outfiledir+'/'+outfilenm+repr(myid)+ '_'+searchtype+'_'+ctype+'.out') else: myid = 0 @@ -109,9 +110,9 @@ def mini_fft_sum_pows(tryamp): # print 'avg(fft) = ',average(spectralpower(fdata)[1:]/norm) # print tryamp if debugout: - print 'Nyquist = '+`fftlen/2` - print ' rpred = %10.3f power = %10.7f' % \ - (rpred, b_pows[ct]) + print('Nyquist = '+repr(fftlen/2)) + print(' rpred = %10.3f power = %10.7f' % \ + (rpred, b_pows[ct])) bsum_pows[ct] = b_pows[ct] if (TbyPb[x] > 2.0): for harmonic in arange(int(TbyPb[x]-1.0))+2: @@ -121,19 +122,19 @@ def mini_fft_sum_pows(tryamp): maximize_r(fdata, hrpred, norm=norm) bsum_pows[ct] = bsum_pows[ct] + tmppow if debugout: - print ' hrpred = %10.3f power = %10.7f' % \ - (hrpred, tmppow) + print(' hrpred = %10.3f power = %10.7f' % \ + (hrpred, tmppow)) if debugout: - print ' r = %10.3f meas_r = %10.3f '\ + print(' r = %10.3f meas_r = %10.3f '\ 'alias_r = %10.3f' % \ (fftlen * psr.orb.p / T, rmax, - alias(rmax, fftlen/2)) - print ' p = %10.3f meas_p = %10.3f '\ + alias(rmax, fftlen/2))) + print(' p = %10.3f meas_p = %10.3f '\ 'alias_p = %10.3f' % \ (psr.orb.p, rmax * T / fftlen, - alias(rmax, fftlen/2) * T / fftlen) - print ' BigPow = %10.7f SumPow = %10.7f' % \ - (b_pows[ct], bsum_pows[ct]) + alias(rmax, fftlen/2) * T / fftlen)) + print(' BigPow = %10.7f SumPow = %10.7f' % \ + (b_pows[ct], bsum_pows[ct])) return bsum_pows[ct] - theo_sum_pow def psrparams_from_list(pplist): @@ -211,12 +212,12 @@ def slice_resp(psr, T, response): psr_resp = gen_bin_response(0.0, 1, psr.p, T, psr.orb, psr_numbins) if debugout: - print 'T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ - (T, psr.orb.p, psr.p) + print('T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ + (T, psr.orb.p, psr.p)) newpows = slice_resp(psr, T, spectralpower(psr_resp)) if showplots: - print "The raw response:" + print("The raw response:") Pgplot.plotxy(newpows) Pgplot.closeplot() fftlen = len(newpows) @@ -225,7 +226,7 @@ def slice_resp(psr, T, response): theo_sum_pow = powersum_at_sigma(detect_sigma, int(T/psr.orb.p)) if debugout: - print 'theo_sum_pow = ', theo_sum_pow + print('theo_sum_pow = ', theo_sum_pow) newloop = 1 tryamp[ct] = secant(mini_fft_sum_pows, tryamp[ct]/2, tryamp[ct], 0.01) @@ -238,7 +239,7 @@ def slice_resp(psr, T, response): # (b_pows[ct], bsum_pows[ct]-theo_sum_pow, 2 * sigma_t * sqrt(tryamp[ct]/N)) tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') # Note: The output contains the average value of tryamp. To convert this # to a minimum flux density, use the formula # S(mJy) = 2 * sigma_t * sqrt(tryamp / N) diff --git a/python/binresponses/montebinresp.py b/python/binresponses/montebinresp.py index 121d4b639..72ca725b8 100644 --- a/python/binresponses/montebinresp.py +++ b/python/binresponses/montebinresp.py @@ -1,3 +1,4 @@ +from __future__ import print_function from time import clock from math import * from Numeric import * @@ -41,7 +42,7 @@ from mpihelp import * myid = mpi.comm_rank() numprocs = mpi.comm_size() - outfilenm = (outfiledir+'/'+outfilenm+`myid`+ + outfilenm = (outfiledir+'/'+outfilenm+repr(myid)+ '_'+searchtype+'_'+ctype+'.out') else: myid = 0 @@ -104,15 +105,15 @@ def predict_mini_r(fftlen, Pb, T): orbi = orbi / sqrt(orbsperpt[ctype]) wb, tp = orbf * 180.0, Pb * orbi if debugout: - print 'T = '+`T`+' ppsr = '+`ppsr[y]`+\ - ' Pb = '+`Pb`+' xb = '+`xb`+' eb = '+\ - `eb`+' wb = '+`wb`+' tp = '+`tp` + print('T = '+repr(T)+' ppsr = '+repr(ppsr[y])+\ + ' Pb = '+repr(Pb)+' xb = '+repr(xb)+' eb = '+\ + repr(eb)+' wb = '+repr(wb)+' tp = '+repr(tp)) psr = psrparams_from_list([ppsr[y], Pb, xb, eb, wb, tp]) psr_numbins = 2 * bin_resp_halfwidth(psr.p, T, psr.orb) psr_resp = gen_bin_response(0.0, 1, psr.p, T, psr.orb, psr_numbins) if showplots: - print "The raw response:" + print("The raw response:") Pgplot.plotxy(spectralpower(psr_resp)) Pgplot.closeplot() if searchtype == 'ffdot': @@ -135,8 +136,8 @@ def predict_mini_r(fftlen, Pb, T): # ' TbyPb[x] = '+`TbyPb[x]`+\ # ' ppsr[y] = '+`ppsr[y]`+\ # ' len(data) = '+`len(data)` - print ' tryr = %11.5f tryz = %11.5f' % \ - (tryr, tryz) + print(' tryr = %11.5f tryz = %11.5f' % \ + (tryr, tryz)) ffd = ffdot_plane(data, tryr, dr, numr, tryz, dz, numz) maxarg = argmax(spectralpower(ffd.flat)) @@ -159,8 +160,8 @@ def predict_mini_r(fftlen, Pb, T): image="astro") Pgplot.closeplot() if debugout: - print 'peakr = %11.5f peakz = %11.5f' % \ - (peakr, peakz) + print('peakr = %11.5f peakz = %11.5f' % \ + (peakr, peakz)) if (peakpow < 0.2): pows[ct] = peakpow rmax = peakr @@ -170,12 +171,12 @@ def predict_mini_r(fftlen, Pb, T): maximize_rz(data, peakr, peakz, \ norm=1.0) if debugout: - print 'max_r = %11.5f max_z = %11.5f' % \ - (rmax, zmax) + print('max_r = %11.5f max_z = %11.5f' % \ + (rmax, zmax)) elif searchtype == 'sideband': if debugout: - print 'T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ - (T, psr.orb.p, psr.p) + print('T = %9.3f Pb = %9.3f Ppsr = %9.7f' % \ + (T, psr.orb.p, psr.p)) # The biggest FFT first psr_pows = spectralpower(psr_resp) fftlen = int(next2_to_n(len(psr_pows))) @@ -186,10 +187,10 @@ def predict_mini_r(fftlen, Pb, T): [pows[ct], rmax, rd] = \ maximize_r(fdata, rpred, norm=1.0) if debugout: - print 'theo_r = %f alias_r = %f' % \ - (fftlen * psr.orb.p / T, rpred) - print 'pow1 = %f Porb = %f' % \ - (pows[ct], rmax * T / fftlen) + print('theo_r = %f alias_r = %f' % \ + (fftlen * psr.orb.p / T, rpred)) + print('pow1 = %f Porb = %f' % \ + (pows[ct], rmax * T / fftlen)) #cands = search_fft(fdata, 15, norm=1.0/fftlen) #if debugout: #print 'rpred = %11.5f '\ @@ -215,10 +216,10 @@ def predict_mini_r(fftlen, Pb, T): maximize_r(fdata, rpred, norm=1.0) if tmppow > pows[ct]: pows[ct] = tmppow if debugout: - print 'theo_r = %f alias_r = %f' % \ - (fftlen * psr.orb.p / T, rpred) - print 'pow1 = %f Porb = %f' % \ - (tmppow, rmax * T / fftlen) + print('theo_r = %f alias_r = %f' % \ + (fftlen * psr.orb.p / T, rpred)) + print('pow1 = %f Porb = %f' % \ + (tmppow, rmax * T / fftlen)) #cands = search_fft(fdata, 15, norm=1.0/fftlen) if showplots: Pgplot.plotxy(spectralpower(fdata), \ @@ -240,10 +241,10 @@ def predict_mini_r(fftlen, Pb, T): maximize_r(fdata, rpred, norm=1.0) if tmppow > pows[ct]: pows[ct] = tmppow if debugout: - print 'theo_r = %f alias_r = %f' % \ - (fftlen * psr.orb.p / T, rpred) - print 'pow1 = %f Porb = %f' % \ - (tmppow, rmax * T / fftlen) + print('theo_r = %f alias_r = %f' % \ + (fftlen * psr.orb.p / T, rpred)) + print('pow1 = %f Porb = %f' % \ + (tmppow, rmax * T / fftlen)) #cands = search_fft(fdata, 15, norm=1.0/fftlen) if showplots: Pgplot.plotxy(spectralpower(fdata), \ @@ -256,11 +257,11 @@ def predict_mini_r(fftlen, Pb, T): # print ' r = %11.5f pow = %9.7f' % \ # (cands[ii][1], cands[ii][0]) if debugout: - print `x`+' '+`y`+' '+`TbyPb[x]`+' ', - print `ppsr[y]`+' '+`pows[ct]` + print(repr(x)+' '+repr(y)+' '+repr(TbyPb[x])+' ', end=' ') + print(repr(ppsr[y])+' '+repr(pows[ct])) tim = clock() - stim if debugout: - print 'Time for this point was ',tim, ' s.' + print('Time for this point was ',tim, ' s.') file.write('%5d %9.6f %8.6f %11.9f %11.9f %11.9f\n' % \ (y * numTbyPb + x, TbyPb[x], ppsr[y], \ average(pows), max(pows), min(pows))) diff --git a/python/concatdata.py b/python/concatdata.py index b967bf733..1b322e5a4 100644 --- a/python/concatdata.py +++ b/python/concatdata.py @@ -1,3 +1,4 @@ +from __future__ import print_function # Binary floating point data file concatenation routine # # Written by Scott M. Ransom @@ -51,26 +52,26 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): # Show a usage statement if necessary if (len(argv)<6): - print usage + print(usage) exit(0) # Get and check the arguments -print '' -print ' Binary Data Concatenation Routine' -print ' Written by Scott M. Ransom' -print ' 1 Mar 99\n' +print('') +print(' Binary Data Concatenation Routine') +print(' Written by Scott M. Ransom') +print(' 1 Mar 99\n') outfilenm = argv[1] numpts = atol(argv[2]) padval = float(argv[3]) -if (numpts < 0L): - print 'numpts must be greater than 0. Exiting.' - print usage +if (numpts < 0): + print('numpts must be greater than 0. Exiting.') + print(usage) exit(-1) -print 'Creating a %ld point file named \'%s\'.' % (numpts, outfilenm) -print 'Using %f for each padding point.\n' % padval +print('Creating a %ld point file named \'%s\'.' % (numpts, outfilenm)) +print('Using %f for each padding point.\n' % padval) # Read the important data from the infofiles into lists @@ -82,7 +83,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_endMJDf = [] file_N = [] padbins = [] -print 'The input files are:' +print('The input files are:') for index in range(len(argv)-4): infile.append(argv[index+4]) infile[index] = infile[index][0:rfind(infile[index],'.')] @@ -103,13 +104,13 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_startMJDf[index]) file_endMJDi.append(MJDi) file_endMJDf.append(MJDf) - print ' %s.dat: %9.0f pts at MJD %5d.%015.0f' % \ + print(' %s.dat: %9.0f pts at MJD %5d.%015.0f' % \ (infile[index], file_N[index], \ - file_startMJDi[index], file_startMJDf[index] * 1.0e15) + file_startMJDi[index], file_startMJDf[index] * 1.0e15)) if (index > 0): if not (dt == file_data[index].dt): - print '\nCannot concatenate the data. The input file dt\'s' - print ' are different. Exiting.' + print('\nCannot concatenate the data. The input file dt\'s') + print(' are different. Exiting.') exit(-1) else: dt = file_data[index].dt @@ -125,7 +126,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): else: dt = file_data[index].dt -print '' +print('') # Convert the infodata into Numpy Arrays and determine the number of # bins to add as padding as well as the shifts needed in the data sets @@ -145,7 +146,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): shift = where(greater(shift, 1.0 - SBF), 0.0, shift) for index in range(len(shift)): if (fabs(shift[index]) > SBF): - file_N[index + 1] = file_N[index + 1] + 1L; + file_N[index + 1] = file_N[index + 1] + 1; shift = where(greater(fabs(shift), SBF), shift, 0.0) wholebins = wholebins.tolist() @@ -168,15 +169,15 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): # Show the user what shifts were required -print 'The bin shifts requires to align the data files in phase are:' -print ' %s.dat: %+f bins' % (infile[0], 0.0) +print('The bin shifts requires to align the data files in phase are:') +print(' %s.dat: %+f bins' % (infile[0], 0.0)) for index in range(len(shift)): - print ' %s.dat: %+f bins' % (infile[index+1], shift[index]) -print '' + print(' %s.dat: %+f bins' % (infile[index+1], shift[index])) +print('') # Show the user what the output files will consist of -print 'The output file will consist of:' +print('The output file will consist of:') outfile_N = [] commands = [] @@ -187,8 +188,8 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_startMJDi[0], \ file_startMJDf[0]) totalbins = totalbins + outfile_N[2 * index] - print ' data: %9.0f pts starting at MJD %5d.%015.0f' % \ - (outfile_N[2 * index], MJDi, MJDf * 1.0e15) + print(' data: %9.0f pts starting at MJD %5d.%015.0f' % \ + (outfile_N[2 * index], MJDi, MJDf * 1.0e15)) if (index == 0): commands.append(" cp %s.dat %s" % (infile[0], outfilenm)) else: @@ -198,8 +199,8 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): (MJDi, MJDf) = addtoMJD(totalbins * dt / SECPERDAY, \ file_startMJDi[0], \ file_startMJDf[0]) - print ' padding: %9.0f pts starting at MJD %5d.%015.0f' % \ - (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15) + print(' padding: %9.0f pts starting at MJD %5d.%015.0f' % \ + (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15)) totalbins = totalbins + outfile_N[2 * index + 1] commands.append(" patchdata %ld %f >> %s" % \ (wholebins[index], padval, outfilenm)) @@ -209,16 +210,16 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): (MJDi, MJDf) = addtoMJD(totalbins * dt / SECPERDAY, \ file_startMJDi[0], \ file_startMJDf[0]) - print ' data: %9.0f pts starting at MJD %5d.%015.0f' % \ - (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15) + print(' data: %9.0f pts starting at MJD %5d.%015.0f' % \ + (outfile_N[2 * index + 1], MJDi, MJDf * 1.0e15)) commands.append(" shiftdata %f %s.dat >> %s" % \ (shift[len(file_N)-1], infile[len(file_N)], outfilenm)) -print '' +print('') # Show the user the commands we will use to concat everything -print 'The commands to perform the concatenation will be:' +print('The commands to perform the concatenation will be:') for index in range(len(commands)): - print commands[index] -print '' + print(commands[index]) +print('') diff --git a/python/dedisp.py b/python/dedisp.py index 7b2f42662..4d9027bc5 100644 --- a/python/dedisp.py +++ b/python/dedisp.py @@ -1,3 +1,4 @@ +from __future__ import print_function import os # To use this script to help you dedisperse a bunch of time series, first @@ -29,7 +30,7 @@ def myexecute(cmd): - print "'%s'"%cmd + print("'%s'"%cmd) os.system(cmd) diff --git a/python/ffdot_example.py b/python/ffdot_example.py index 6468ba416..7c7a98202 100644 --- a/python/ffdot_example.py +++ b/python/ffdot_example.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as num import presto import ppgplot @@ -26,7 +27,7 @@ pffdot = presto.spectralpower(ffdot.flat) theo_max_pow = N**2.0/4.0 frp = max(pffdot) / theo_max_pow # Fraction of recovered power -print "Fraction of recovered signal power = %f" % frp +print("Fraction of recovered signal power = %f" % frp) a = time.clock() [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+norm(1)[0]/5.0, z+norm(1)[0], norm=1.0) diff --git a/python/fftfit_src/test_fftfit.py b/python/fftfit_src/test_fftfit.py index 133749147..385004834 100644 --- a/python/fftfit_src/test_fftfit.py +++ b/python/fftfit_src/test_fftfit.py @@ -1,3 +1,4 @@ +from __future__ import print_function #>>> print fftfit.__doc__ #This module 'fftfit' is auto-generated with f2py (version:2.13.175-1250). #Functions: @@ -20,4 +21,4 @@ for phs in [0.1, 0.3, 0.7]: prof = gaussian_profile(64, phs, 0.1)+num.random.standard_normal(64) shift,eshift,snr,esnr,b,errb,ngood = fftfit(prof,amp,pha) - print "True phs = %f, measured phs = %f +/- %f" % (phs, shift/len(prof),eshift/len(prof)) + print("True phs = %f, measured phs = %f +/- %f" % (phs, shift/len(prof),eshift/len(prof))) diff --git a/python/pdm2raw.py b/python/pdm2raw.py index d5722293e..3c77c116f 100644 --- a/python/pdm2raw.py +++ b/python/pdm2raw.py @@ -1,9 +1,10 @@ +from __future__ import print_function from numpyio import fread, fwrite from sys import argv -print "\nReading info from %s.hdr and" % argv[1] -print "%s.dat\n" % argv[1] -print "Writing %s.raw\n" % argv[1] +print("\nReading info from %s.hdr and" % argv[1]) +print("%s.dat\n" % argv[1]) +print("Writing %s.raw\n" % argv[1]) HEADERLEN = 640 BLOCKLEN = 49152 @@ -26,6 +27,6 @@ fwrite(outfile, BLOCKLEN, data[4:-4], 'b') else: break -print '' +print('') infile.close() outfile.close() diff --git a/python/ppdot_plane_plot.py b/python/ppdot_plane_plot.py index f12ab6ab5..606d6c86e 100644 --- a/python/ppdot_plane_plot.py +++ b/python/ppdot_plane_plot.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as np import psr_utils as pu import pypsrcat as cat @@ -55,15 +56,15 @@ snrs = np.asarray(snrs) binaries = np.asarray(binaries) -print "Plotting %d pulsars total:" % numgood -print " %d radio, %d non-radio" % (len(radios), len(nonradios)) -print " RRATs:", len(rrats) -print " magnetars:", len(magnetars) -print " high-energy:", len(hepsrs) -print " in SNRs:", len(snrs) -print " in binaries:", len(binaries) -print "Rejected %d for having no p-dot and %d for being in a cluster" % \ - (numpd0, numGC) +print("Plotting %d pulsars total:" % numgood) +print(" %d radio, %d non-radio" % (len(radios), len(nonradios))) +print(" RRATs:", len(rrats)) +print(" magnetars:", len(magnetars)) +print(" high-energy:", len(hepsrs)) +print(" in SNRs:", len(snrs)) +print(" in binaries:", len(binaries)) +print("Rejected %d for having no p-dot and %d for being in a cluster" % \ + (numpd0, numGC)) # Now set up the plot plims = np.asarray([0.001, 20.0]) diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index b871ae5c4..e0422b71b 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -1,4 +1,6 @@ -from prestoswig import * +from __future__ import print_function +from __future__ import absolute_import +from .prestoswig import * import os.path import numpy as np import Pgplot @@ -46,7 +48,7 @@ def read_inffile(filename, verbose=True): fname = filename[:-4] if (filename[-4:]==".inf") else filename id = infodata() if verbose: - print "Reading information from", "\""+fname+".inf\"" + print("Reading information from", "\""+fname+".inf\"") readinf(id, fname) return id @@ -76,8 +78,8 @@ def psrepoch(psrname, epoch, verbose=True): else: num = get_psr_at_epoch(psrname, epoch, pp) if verbose: - print 'Retrieved data at MJD %f for %s' % (epoch, pp.jname) - print 'The pulsar was #%d in the database.' % num + print('Retrieved data at MJD %f for %s' % (epoch, pp.jname)) + print('The pulsar was #%d in the database.' % num) return pp def read_rzwcands(filename): @@ -115,7 +117,7 @@ def next2_to_n(x): next2_to_n(x): Return the first value of 2^n >= x. """ - i = 1L + i = 1 while (i < x): i = i << 1 return i @@ -343,8 +345,9 @@ def estimate_rz(psr, T, show=0, device='/XWIN'): Pgplot.plotxy(r, times, labx = 'Time', \ laby = 'Fourier Frequency (r)', device=device) if device=='/XWIN': - print 'Press enter to continue:' - i = raw_input() + print('Press enter to continue:') + try: i = raw_input() + except NameError: i = input() Pgplot.nextplotpage() Pgplot.plotxy(z, times, labx = 'Time', laby = 'Fourier Frequency Derivative (z)', device=device) @@ -381,13 +384,13 @@ def show_ffdot_plane(data, r, z, dr = 0.125, dz = 0.5, highpt = np.argmax(ffdpow.ravel()) hir = highpt % numr hiz = highpt / numr - print "" - print "Fourier Freqs from ", min(x), "to", max(x), "." - print "Fourier Fdots from ", min(y), "to", max(y), "." - print "Maximum normalized power is ", ffdpow[hiz][hir] - print "The max value is located at: r =", startbin + hir * dr, \ - " z =", startz + hiz * dz - print "" + print("") + print("Fourier Freqs from ", min(x), "to", max(x), ".") + print("Fourier Fdots from ", min(y), "to", max(y), ".") + print("Maximum normalized power is ", ffdpow[hiz][hir]) + print("The max value is located at: r =", startbin + hir * dr, \ + " z =", startz + hiz * dz) + print("") if not T: Pgplot.plot2d(ffdpow, x, y, labx = "Fourier Frequency (bins)", \ laby = "Fourier Frequency Derivative", \ @@ -518,13 +521,13 @@ def bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): elif (obs.telescope == 'Arecibo'): tel = 'AO' elif (obs.telescope == 'MMT'): tel = 'MT' else: - print "Telescope not recognized." + print("Telescope not recognized.") return 0 barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) - print "Topocentric start time = %17.11f" % tts[0] - print "Barycentric start time = %17.11f" % bts[0] + print("Topocentric start time = %17.11f" % tts[0]) + print("Barycentric start time = %17.11f" % bts[0]) avgvel = np.add.reduce(vel) / nn - print "Average Earth velocity = %10.5e c" % (avgvel) + print("Average Earth velocity = %10.5e c" % (avgvel)) tts = np.arange(nn, dtype='d') * dt bts = (bts - bts[0]) * SECPERDAY [fb, fbd, fbdd] = p_to_f(pb, pbd, pbdd) @@ -532,12 +535,12 @@ def bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): a = np.transpose(np.asarray([tts, tts**2.0, tts**3.0])) [ft, ftd, ftdd], residuals, rank, sv = linear_least_squares(a,b) [pt, ptd, ptdd] = p_to_f(ft, ftd, ftdd) - print " Topocentric period = %15.12f" % pt - print " Topocentric p-dot = %15.9e" % ptd - print " Topocentric p-dotdot = %15.9e" % ptdd - print " Quick Topo period = %15.12f" % (pb * (1.0 + avgvel)) - print " Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel)) - print " Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel)) + print(" Topocentric period = %15.12f" % pt) + print(" Topocentric p-dot = %15.9e" % ptd) + print(" Topocentric p-dotdot = %15.9e" % ptdd) + print(" Quick Topo period = %15.12f" % (pb * (1.0 + avgvel))) + print(" Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel))) + print(" Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel))) return [pt, ptd, ptdd] @@ -561,8 +564,8 @@ def measure_phase(profile, template, sigma, fwhm): from simple_roots import newton_raphson N = len(profile) if not (N == len(template)): - print "Lengths of 'profile' and 'template' must" - print " be equal in measure_phase()." + print("Lengths of 'profile' and 'template' must") + print(" be equal in measure_phase().") return 0.0 ft = rfft(profile) p0 = ft[0].real diff --git a/python/setup.py b/python/setup.py index 2b931cf99..3bdf215ac 100644 --- a/python/setup.py +++ b/python/setup.py @@ -1,3 +1,4 @@ +from __future__ import print_function from distutils.core import setup, Extension from distutils.sysconfig import get_python_inc, get_python_lib import os @@ -30,18 +31,18 @@ undef_macros.append('USE_NUMARRAY') if os.name == "posix": - if os.environ.has_key("PGPLOT_DIR"): + if "PGPLOT_DIR" in os.environ: ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) else: - print >>sys.stderr, "PGPLOT_DIR env var not defined!" - if os.environ.has_key("PRESTO"): + print("PGPLOT_DIR env var not defined!", file=sys.stderr) + if "PRESTO" in os.environ: presto_library_dirs.append(os.path.join(os.environ["PRESTO"], "lib")) presto_include_dirs.append(os.path.join(os.environ["PRESTO"], "include")) else: - print >>sys.stderr, "PRESTO env var not defined!" + print("PRESTO env var not defined!", file=sys.stderr) else: - raise Exception, "os not supported" + raise Exception("os not supported") ext_ppgplot = make_extension('_ppgplot', [os.path.join('ppgplot_src','_ppgplot.c')], diff --git a/python/setup_ppgplot.py b/python/setup_ppgplot.py index 1a298ddff..bfb6d410e 100644 --- a/python/setup_ppgplot.py +++ b/python/setup_ppgplot.py @@ -1,3 +1,4 @@ +from __future__ import print_function from distutils.core import setup, Extension from distutils.sysconfig import get_python_inc, get_python_lib import os @@ -25,13 +26,13 @@ undef_macros.append('USE_NUMARRAY') if os.name == "posix": - if os.environ.has_key("PGPLOT_DIR"): + if "PGPLOT_DIR" in os.environ: ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) else: - print >>sys.stderr, "PGPLOT_DIR env var not defined!" + print("PGPLOT_DIR env var not defined!", file=sys.stderr) else: - raise Exception, "os not supported" + raise Exception("os not supported") ext_ppgplot = make_extension('_ppgplot', [os.path.join('ppgplot_src','_ppgplot.c')], diff --git a/python/show_zresp.py b/python/show_zresp.py index 230eace33..8b323bce8 100644 --- a/python/show_zresp.py +++ b/python/show_zresp.py @@ -1,3 +1,4 @@ +from __future__ import print_function from numpy import * from Pgplot import * from presto import * @@ -8,7 +9,7 @@ f = arange(numkern, dtype=float64) / numbetween - kern_half_width kern = gen_z_response(0.0, numbetween, numkern, 0.0) pkern = spectralpower(kern) -print "Freq ", f[len(f)/2], " = ", pkern[len(f)/2] +print("Freq ", f[len(f)/2], " = ", pkern[len(f)/2]) plotxy(pkern, f, labx="Fourier Frequency Offset", \ laby="Normalized Power", device="z_responses.eps/CPS") #plotxy(pkern, f, labx="Fourier Frequency Offset", \ diff --git a/python/testcorr.py b/python/testcorr.py index 83e43c0f2..ba3bf2947 100644 --- a/python/testcorr.py +++ b/python/testcorr.py @@ -1,3 +1,4 @@ +from __future__ import print_function from numpy import * from Pgplot import * from presto import * @@ -33,8 +34,8 @@ cphs = spectralphase(ca) maxval = argmax(cpow) plotxy(cpow, cf-1e6, labx="Fourier Frequency - 1e6", laby="Power") -print "Maximum value is at r =", startbin + maxval / float(numbetween) -print " Power =", cpow[maxval], " Phase =", cphs[maxval] +print("Maximum value is at r =", startbin + maxval / float(numbetween)) +print(" Power =", cpow[maxval], " Phase =", cphs[maxval]) closeplot() # Show the power spectrum with f-dot correction @@ -46,7 +47,7 @@ cphs = spectralphase(ca) maxval = argmax(cpow) plotxy(cpow, cf-1e6, labx="Fourier Frequency - 1e6", laby="Power") -print "Maximum value is at r =", startbin + maxval / float(numbetween) -print " Power =", cpow[maxval], " Phase =", cphs[maxval] +print("Maximum value is at r =", startbin + maxval / float(numbetween)) +print(" Power =", cpow[maxval], " Phase =", cphs[maxval]) closeplot() diff --git a/tests/python/cvec.py b/tests/python/cvec.py index 36fa1615d..aa0ea7a51 100644 --- a/tests/python/cvec.py +++ b/tests/python/cvec.py @@ -1,3 +1,4 @@ +from __future__ import print_function from Numeric import * from cvects import * @@ -8,16 +9,16 @@ def multcarr(a, val): mult_arr(a, val, len(a)) a = open("cvects.h", "r") -print get_filelen(a) +print(get_filelen(a)) a.close() d = arange(10, typecode='d') -print d +print(d) dgenrotate_1d(d, len(d), 3.5) -print d -print dstats(d, len(d)) +print(d) +print(dstats(d, len(d))) f = complex_arr(10) -print f +print(f) mult_arr(f, 10.0, len(f)) -print f +print(f) From 813ee2c6da495be6b97dcbdc9903dd0a27b7a069 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 11:41:33 +0200 Subject: [PATCH 061/146] futurize --stage2 --nofix=division_safe on all py files --- bin/DDplan.py | 6 ++++-- bin/GBNCC_search.py | 8 ++++++-- bin/GBT350_drift_prep.py | 1 + bin/GBT350_drift_search.py | 8 ++++++-- bin/GUPPI_drift_prep.py | 1 + bin/PALFA_presto_search.py | 8 ++++++-- bin/downsample_filterbank.py | 3 ++- bin/filter_zerolags.py | 1 + bin/fit_circular_orbit.py | 1 + bin/fitorb.py | 1 + bin/get_TOAs.py | 5 +++-- bin/guppidrift2fil.py | 1 + bin/injectpsr.py | 2 ++ bin/make_spd.py | 12 ++++++----- bin/makezaplist.py | 12 +++++++---- bin/plot_spd.py | 5 +++-- bin/powerstats.py | 10 ++++----- bin/psrfits2fil.py | 1 + bin/psrfits_quick_bandpass.py | 1 + bin/pulsestack.py | 2 ++ bin/pygaussfit.py | 4 +++- bin/pyplotres.py | 20 ++++++++++-------- bin/quickffdots.py | 1 + bin/rrattrap.py | 10 ++++++--- bin/single_pulse_search.py | 23 +++++++++++++-------- bin/sortwappfiles.py | 3 ++- bin/sum_profiles.py | 2 ++ bin/tim2dat.py | 1 + lib/python/Pgplot.py | 5 ++++- lib/python/barycenter.py | 1 + lib/python/bestprof.py | 3 ++- lib/python/binary_psr.py | 3 ++- lib/python/cosine_rand.py | 9 +++++--- lib/python/events.py | 1 + lib/python/filterbank.py | 3 ++- lib/python/infodata.py | 3 ++- lib/python/injectpsr.py | 2 ++ lib/python/kuiper.py | 3 ++- lib/python/mpfit.py | 7 +++++-- lib/python/parfile.py | 5 +++-- lib/python/polycos.py | 6 ++++-- lib/python/prepfold.py | 6 ++++-- lib/python/psr_utils.py | 4 +++- lib/python/psrfits.py | 10 +++++---- lib/python/pypsrcat.py | 11 ++++++---- lib/python/residuals.py | 4 +++- lib/python/rfifind.py | 7 +++++-- lib/python/sifting.py | 25 ++++++++++++++--------- lib/python/sigproc.py | 5 +++-- lib/python/simple_roots.py | 3 ++- lib/python/singlepulse/make_spd.py | 12 ++++++----- lib/python/singlepulse/plot_spd.py | 5 +++-- lib/python/singlepulse/read_spd.py | 3 ++- lib/python/singlepulse/rrattrap.py | 10 ++++++--- lib/python/singlepulse/rrattrap_config.py | 1 + lib/python/singlepulse/sp_pgplot.py | 4 +++- lib/python/singlepulse/spcand.py | 3 ++- lib/python/singlepulse/spio.py | 3 ++- lib/python/spectra.py | 3 +++ python/ACCEL_sift.py | 3 ++- python/binopttest/bindata.py | 7 +++++-- python/binopttest/comb.py | 1 + python/binopttest/montebinopt.py | 13 ++++++++---- python/binresponses/monte_ffdot.py | 1 + python/binresponses/monte_short.py | 1 + python/binresponses/monte_sideb.py | 1 + python/binresponses/montebinresp.py | 1 + python/concatdata.py | 5 ++++- python/dedisp.py | 2 ++ python/ppdot_plane_plot.py | 1 + python/presto_src/__init__.py | 2 ++ python/presto_src/prestoswig.py | 3 ++- python/show_zresp.py | 1 + python/testcorr.py | 1 + python/wrappers/presto.py | 3 ++- 75 files changed, 254 insertions(+), 115 deletions(-) diff --git a/bin/DDplan.py b/bin/DDplan.py index 869aaa344..7ab3b9a2d 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,9 +1,11 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import object from numpy import * from Pgplot import * -class observation: +class observation(object): def __init__(self, dt, f_ctr, BW, numchan, cDM): # dt in sec, f_ctr and in MHz self.dt = dt @@ -20,7 +22,7 @@ def guess_dDM(self, DM): """ return self.dt*0.0001205*self.f_ctr**3.0/(0.5*self.BW) -class dedisp_method: +class dedisp_method(object): def __init__(self, obs, downsamp, loDM, hiDM, dDM, numDMs=0, numsub=0, smearfact=2.0): self.obs = obs diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index 298827268..584c16468 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -1,5 +1,9 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -115,7 +119,7 @@ def get_folding_command(cand, obs, ddplans, maskfile): (maskfile, cand.candnum, cand.filename, cand.DM, outfilenm, otheropts, N, Mp, Mdm, foldnsubs, fitsfile) -class obs_info: +class obs_info(object): """ class obs_info(fits_filenm) A class describing the observation and the analysis. @@ -199,7 +203,7 @@ def write_report(self, filenm): report_file.write("---------------------------------------------------------\n") report_file.close() -class dedisp_plan: +class dedisp_plan(object): """ class dedisp_plan(lodm, dmstep, dmsperpass, numpasses, numsub, downsamp) A class describing a de-dispersion plan for prepsubband in detail. diff --git a/bin/GBT350_drift_prep.py b/bin/GBT350_drift_prep.py index 2d4a37558..cf15e14c8 100755 --- a/bin/GBT350_drift_prep.py +++ b/bin/GBT350_drift_prep.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, os, random, sigproc import psr_utils as pu diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index ec9097fcf..77888230c 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -1,5 +1,9 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import glob, os, os.path, shutil, socket, struct, tarfile, stat import numpy, sys, presto, time, sigproc, sifting import psr_utils as pu @@ -114,7 +118,7 @@ def get_folding_command(cand, obs, ddplans): (cand.candnum, cand.filename, cand.DM, outfilenm, otheropts, N, Mp, Mdm, filfile) -class obs_info: +class obs_info(object): """ class obs_info(fil_filenm) A class describing the observation and the analysis. @@ -198,7 +202,7 @@ def write_report(self, filenm): report_file.write("---------------------------------------------------------\n") report_file.close() -class dedisp_plan: +class dedisp_plan(object): """ class dedisp_plan(lodm, dmstep, dmsperpass, numpasses, numsub, downsamp) A class describing a de-dispersion plan for prepsubband in detail. diff --git a/bin/GUPPI_drift_prep.py b/bin/GUPPI_drift_prep.py index 12795029e..7a10d03d4 100755 --- a/bin/GUPPI_drift_prep.py +++ b/bin/GUPPI_drift_prep.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, os, random, sigproc import psr_utils as pu import pyfits diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index 849fe4852..fb75ba796 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -1,5 +1,9 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import glob, os, os.path, shutil, socket, struct, sys, time, tarfile import numpy, psr_utils, presto, sifting, sigproc @@ -193,7 +197,7 @@ def get_folding_command(cand, obs, ddplans): (cand.candnum, cand.filename, cand.DM, outfilenm, otheropts, N, Mp, Mdm, foldfiles) -class obs_info: +class obs_info(object): """ class obs_info(fil_filenm) A class describing the observation and the analysis. @@ -293,7 +297,7 @@ def write_report(self, filenm): report_file.write("---------------------------------------------------------\n") report_file.close() -class dedisp_plan: +class dedisp_plan(object): """ class dedisp_plan(lodm, dmstep, dmsperpass, numpasses, numsub, downsamp) A class describing a de-dispersion plan for prepsubband in detail. diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index 16a270ca9..33adba3d1 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, sigproc import numpy as num @@ -49,7 +50,7 @@ print("Whoops! File length calculation is not right...") # Now loop over the spectra - for ii in xrange(numspec / DS_fact): + for ii in range(numspec / DS_fact): try: x = num.fromfile(infile, dtype=num.ubyte, count=DS_fact*nchans) x.shape = (DS_fact, nchans) diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index 4e4c5dd20..34cf77443 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import numpy as N import sys, scipy.io, scipy.signal diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index e137114a7..5c84d2657 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import numpy as num import psr_utils as pu import parfile, bestprof, sys diff --git a/bin/fitorb.py b/bin/fitorb.py index 70776a4ce..1eebe3e68 100755 --- a/bin/fitorb.py +++ b/bin/fitorb.py @@ -4,6 +4,7 @@ fitorb: A non-linear optimizer for solving pulsar orbits by Ryan Lynch """ from __future__ import print_function +from builtins import range from numpy import * from mpfit import mpfit diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index 730d4c6b1..ff5f0c6e5 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import struct, getopt, sys, fftfit, psr_utils import numpy as Num from infodata import infodata @@ -159,14 +160,14 @@ def usage(): for subs in a.split(','): if (subs.find("-") > 0): lo, hi = subs.split("-") - kill.extend(range(int(lo), int(hi)+1)) + kill.extend(list(range(int(lo), int(hi)+1))) else: kill.append(int(subs)) if o in ("-i", "--kints"): for ints in a.split(','): if (ints.find("-") > 0): lo, hi = ints.split("-") - kints.extend(range(int(lo), int(hi)+1)) + kints.extend(list(range(int(lo), int(hi)+1))) else: kints.append(int(ints)) diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 1745341af..31462f647 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -2,6 +2,7 @@ #Begun on 2/13/2014 from a copy of psrfits2fil.py //NEG-D// from __future__ import print_function +from builtins import range import numpy as np import pyfits import filterbank diff --git a/bin/injectpsr.py b/bin/injectpsr.py index 77c2c43ef..793df1c86 100755 --- a/bin/injectpsr.py +++ b/bin/injectpsr.py @@ -6,6 +6,8 @@ Patrick Lazarus, June 26, 2012 """ from __future__ import print_function +from builtins import zip +from builtins import object import sys import argparse import warnings diff --git a/bin/make_spd.py b/bin/make_spd.py index 845cff295..7f30da792 100755 --- a/bin/make_spd.py +++ b/bin/make_spd.py @@ -11,6 +11,8 @@ Chitrang Patel - May. 21, 2015 -- Updated on June 10 2016 """ from __future__ import print_function +from builtins import map +from builtins import range import sys import copy @@ -195,11 +197,11 @@ def make_spd_from_file(spdcand, rawdatafile, \ delays_nozerodm = delays_nozerodm, \ freqs_nozerodm = freqs_nozerodm,\ Data_zerodm = Data_zerodm.astype(np.float16), \ - dm_arr= map(np.float16, dm_arr),\ - sigma_arr = map(np.float16, sigma_arr), \ - width_arr =map(np.uint8, width_arr),\ - dm_list= map(np.float16, dm_list), \ - time_list = map(np.float16, time_list), \ + dm_arr= list(map(np.float16, dm_arr)),\ + sigma_arr = list(map(np.float16, sigma_arr)), \ + width_arr =list(map(np.uint8, width_arr)),\ + dm_list= list(map(np.float16, dm_list)), \ + time_list = list(map(np.float16, time_list)), \ text_array = text_array) #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) if plot: diff --git a/bin/makezaplist.py b/bin/makezaplist.py index b9ef034b8..cf1c3cf42 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -1,11 +1,15 @@ #!/usr/bin/env python from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import range +from builtins import object from sys import argv, exit from string import index from presto import * -class bird: +class bird(object): def __init__(self, freq, width, bary=0): self.freq = freq self.width = width @@ -48,7 +52,7 @@ def processbirds(filename): if (psr.orb.p): (minv, maxv) = binary_velocity(T, psr.orb) psrs += 1 - for harm in xrange(1, numharm+1): + for harm in range(1, numharm+1): if (psr.orb.p): midv = 0.5 * (maxv + minv) midf = (1.0 + midv) * psr.f * harm @@ -75,10 +79,10 @@ def processbirds(filename): bary = int(words[4]) trains += 1 if (increase_width): - for harm in xrange(1, numharm+1): + for harm in range(1, numharm+1): birds.append(bird(freq * harm, width * harm, bary)) else: - for harm in xrange(1, numharm+1): + for harm in range(1, numharm+1): birds.append(bird(freq * harm, width, bary)) else: freqs += 1 diff --git a/bin/plot_spd.py b/bin/plot_spd.py index 79a5c1a1a..0e5a8f748 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -9,6 +9,7 @@ Chitrang Patel - June 10, 2016. """ from __future__ import print_function +from builtins import map import numpy as np import optparse import tarfile @@ -306,8 +307,8 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal spfiles = singlepulsefiles threshold = 5.0 if len(spfiles) > 2: - dm_list = map(np.float32, list(dm_arr)) - time_list = map(np.float32, list(time_arr)) + dm_list = list(map(np.float32, list(dm_arr))) + time_list = list(map(np.float32, list(time_arr))) if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) else: diff --git a/bin/powerstats.py b/bin/powerstats.py index 034a8fe62..c734211fd 100755 --- a/bin/powerstats.py +++ b/bin/powerstats.py @@ -1,16 +1,17 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import input import numpy as Num from events import * def answer_yes(question): yes = ['', 'Y', 'y', 'Yes', 'yes', 'YES', 'T', 't', 'True', 'true', 'TRUE'] - return raw_input('\n'+question) in yes + return input('\n'+question) in yes def ask_float(question, default=None): while 1: - ans = raw_input('\n'+question) + ans = input('\n'+question) if not ans: ans = default try: @@ -20,7 +21,7 @@ def ask_float(question, default=None): def ask_int(question, default=None): while 1: - ans = raw_input('\n'+question) + ans = input('\n'+question) if not ans: ans = default try: @@ -61,8 +62,7 @@ def ask_int(question, default=None): numphot = ask_int("How many counts (photons) were there? ") lofreq, hifreq = rlo / T, rhi / T trial_freqs = (10.0**(Num.arange(7.0)-2.0)).tolist() - trial_freqs = filter(lambda x: x > lofreq and x < hifreq, - trial_freqs) + trial_freqs = [x for x in trial_freqs if x > lofreq and x < hifreq] print("\nThe trial frequencies (Hz) are:", trial_freqs) if answer_yes(\ "Would you like to add any more? [y] "): diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index eca0de436..85a982adf 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -1,6 +1,7 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import numpy as np import psrfits import filterbank diff --git a/bin/psrfits_quick_bandpass.py b/bin/psrfits_quick_bandpass.py index d0edb1a8b..0f4695ee6 100755 --- a/bin/psrfits_quick_bandpass.py +++ b/bin/psrfits_quick_bandpass.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip import numpy as np import matplotlib.pyplot as plt import sys, psrfits diff --git a/bin/pulsestack.py b/bin/pulsestack.py index 348f23a2f..4f89a56e0 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -20,6 +20,8 @@ ###################################################################### from __future__ import print_function +from builtins import str +from builtins import range import numpy as np import array as ar import os, os.path, stat, glob, sys diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 6543944dd..37b14a8d1 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -1,5 +1,7 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range +from builtins import object from psr_utils import gaussian_profile, span, read_profile from matplotlib.patches import Rectangle from bestprof import bestprof @@ -7,7 +9,7 @@ import numpy as Num import mpfit, sys -class GaussianSelector: +class GaussianSelector(object): def __init__(self, ax, profile, errs, profnm, minspanx=None, minspany=None, useblit=True): self.ax = ax.axes diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 733b89cb4..238f24530 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -6,6 +6,10 @@ # Patrick Lazarus, Feb 26th, 2009 from __future__ import print_function +from builtins import input +from builtins import str +from builtins import range +from builtins import object import optparse import sys import re @@ -77,7 +81,7 @@ def find_freq_clusters(freqs): return freqbands -class TempoResults: +class TempoResults(object): def __init__(self, freqbands): """Read TEMPO results (resid2.tmp, tempo.lis, timfile and parfiles) freqbands is a list of frequency pairs to display. @@ -163,7 +167,7 @@ def get_info(self, freq_label, index, postfit=True): -class Resids: +class Resids(object): """The Resids object contains the following information about TEMPO residuals: bary_TOA @@ -533,8 +537,8 @@ def keypress(event): elif event.key.lower() == 'x': # Set x-axis limits print("Setting x-axis limits. User input required...") - xmin = raw_input("X-axis minimum: ") - xmax = raw_input("X-axis maximum: ") + xmin = input("X-axis minimum: ") + xmax = input("X-axis maximum: ") try: xmin = float(xmin) xmax = float(xmax) @@ -549,15 +553,15 @@ def keypress(event): # Set y-axis limits print("Setting y-axis limits. User input required...") if len(axes) == 2: - axes_to_adjust = raw_input("Axes to adjust (pre/post): ") + axes_to_adjust = input("Axes to adjust (pre/post): ") if axes_to_adjust.lower().startswith('pre'): plt.axes(axes[0]) elif axes_to_adjust.lower().startswith('post'): plt.axes(axes[1]) else: raise ValueError - ymin = raw_input("Y-axis minimum: ") - ymax = raw_input("Y-axis maximum: ") + ymin = input("Y-axis minimum: ") + ymax = input("Y-axis maximum: ") try: ymin = float(ymin) ymax = float(ymax) @@ -643,7 +647,7 @@ def main(): # Before setting up our own event handlers delete matplotlib's # default 'key_press_event' handler. - defcids = fig.canvas.callbacks.callbacks['key_press_event'].keys() + defcids = list(fig.canvas.callbacks.callbacks['key_press_event'].keys()) for cid in defcids: fig.canvas.callbacks.disconnect(cid) diff --git a/bin/quickffdots.py b/bin/quickffdots.py index 341718406..c4e26b9da 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range from infodata import * from presto import ffdot_plane, spectralpower from pylab import * diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 4bc52db0f..0c8fb4d7b 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -15,6 +15,10 @@ Updated by Chitrang Patel June 10, 2016. """ from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import range +from builtins import object import fileinput import numpy as np from time import strftime @@ -217,9 +221,9 @@ def grouping_rfi(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): while didcombine: didcombine = False # If a group is very close to a group of rfi, set it as rfi - for i in reversed(range(len(groups))): + for i in reversed(list(range(len(groups)))): grp1 = groups[i] - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if j <= i: continue grp2 = groups[j] @@ -586,7 +590,7 @@ def pop_by_rank(groups, rank): Outputs: None """ - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if groups[j].rank == rank: del groups[j] diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index 504331d13..a708e9361 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,5 +1,10 @@ #!/usr/bin/env python from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import zip +from builtins import range +from builtins import object import bisect, os, sys, getopt, infodata, glob import scipy, scipy.signal, scipy.stats, ppgplot import numpy as Num @@ -8,7 +13,7 @@ from optparse import OptionParser from Pgplot import * -class candidate: +class candidate(object): def __init__(self, DM, sigma, time, bin, downfact): self.DM = DM self.sigma = sigma @@ -67,10 +72,10 @@ def prune_related1(hibins, hivals, downfact): # candidate arrays and uses the single downfact # that they were selected with. toremove = set() - for ii in xrange(0, len(hibins)-1): + for ii in range(0, len(hibins)-1): if ii in toremove: continue xbin, xsigma = hibins[ii], hivals[ii] - for jj in xrange(ii+1, len(hibins)): + for jj in range(ii+1, len(hibins)): ybin, ysigma = hibins[jj], hivals[jj] if (abs(ybin-xbin) > downfact/2): break @@ -94,11 +99,11 @@ def prune_related2(dm_candlist, downfacts): # instances and looks at the different downfacts of the # the different candidates. toremove = set() - for ii in xrange(0, len(dm_candlist)-1): + for ii in range(0, len(dm_candlist)-1): if ii in toremove: continue xx = dm_candlist[ii] xbin, xsigma = xx.bin, xx.sigma - for jj in xrange(ii+1, len(dm_candlist)): + for jj in range(ii+1, len(dm_candlist)): yy = dm_candlist[jj] ybin, ysigma = yy.bin, yy.sigma if (abs(ybin-xbin) > max(downfacts)/2): @@ -123,7 +128,7 @@ def prune_border_cases(dm_candlist, offregions): # of the boundary between data and padding #print offregions toremove = set() - for ii in xrange(len(dm_candlist)-1, -1, -1): + for ii in range(len(dm_candlist)-1, -1, -1): cand = dm_candlist[ii] loside = cand.bin-cand.downfact/2 hiside = cand.bin+cand.downfact/2 @@ -347,8 +352,8 @@ def main(): if useffts: fftd_kerns = make_fftd_kerns(default_downfacts, fftlen) if info.breaks: - offregions = zip([x[1] for x in info.onoff[:-1]], - [x[0] for x in info.onoff[1:]]) + offregions = list(zip([x[1] for x in info.onoff[:-1]], + [x[0] for x in info.onoff[1:]])) # If last break spans to end of file, don't read it in (its just padding) if offregions[-1][1] == N - 1: @@ -429,7 +434,7 @@ def main(): # Step through the data dm_candlist = [] - for chunknum in xrange(numchunks): + for chunknum in range(numchunks): loind = chunknum*chunklen-overlap hiind = (chunknum+1)*chunklen+overlap # Take care of beginning and end of file overlap issues diff --git a/bin/sortwappfiles.py b/bin/sortwappfiles.py index 6e11ee9da..57eebfa7f 100755 --- a/bin/sortwappfiles.py +++ b/bin/sortwappfiles.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import range import sys, re maxwappnum = 7 @@ -14,7 +15,7 @@ wappfiles[wappnum] = [filename] break -for key in wappfiles.keys(): +for key in list(wappfiles.keys()): numfiles = len(wappfiles[key]) wappfiles[key].sort() diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index e6b182014..569b4fed3 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -1,5 +1,7 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip +from builtins import range import struct, getopt, sys, fftfit, psr_utils, os.path, sinc_interp, Pgplot import numpy as Num from infodata import infodata diff --git a/bin/tim2dat.py b/bin/tim2dat.py index 2c57db328..fe1c7aef0 100755 --- a/bin/tim2dat.py +++ b/bin/tim2dat.py @@ -2,6 +2,7 @@ from __future__ import print_function import astropy.coordinates as coords import astropy.units as u +from builtins import str import os import os.path import argparse diff --git a/lib/python/Pgplot.py b/lib/python/Pgplot.py index 08184decb..027bd7be9 100644 --- a/lib/python/Pgplot.py +++ b/lib/python/Pgplot.py @@ -1,4 +1,7 @@ from __future__ import print_function +from builtins import str +from builtins import range +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -557,7 +560,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ ######################################################################### -class Palette: +class Palette(object): # Set the color palette def setpalette(self, palette): """ diff --git a/lib/python/barycenter.py b/lib/python/barycenter.py index 38b156a4a..857e32c09 100644 --- a/lib/python/barycenter.py +++ b/lib/python/barycenter.py @@ -1,3 +1,4 @@ +from builtins import range ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import math diff --git a/lib/python/bestprof.py b/lib/python/bestprof.py index fd1520986..11e16789a 100644 --- a/lib/python/bestprof.py +++ b/lib/python/bestprof.py @@ -1,3 +1,4 @@ +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import numpy as num @@ -15,7 +16,7 @@ def get_epochs(line): epochf = float(int(fsec))/86400.0 return epochi, epochf -class bestprof: +class bestprof(object): def __init__(self, filenm): infile = open(filenm) self.topo = 0 diff --git a/lib/python/binary_psr.py b/lib/python/binary_psr.py index b80255476..f32c205bc 100644 --- a/lib/python/binary_psr.py +++ b/lib/python/binary_psr.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import object import numpy as Num import parfile, psr_utils from psr_constants import * @@ -30,7 +31,7 @@ def shapS(m1, m2, x, pb): # Note: S is also equal to sin(i) -class binary_psr: +class binary_psr(object): """ class binary_psr diff --git a/lib/python/cosine_rand.py b/lib/python/cosine_rand.py index f49dd4642..40941252a 100644 --- a/lib/python/cosine_rand.py +++ b/lib/python/cosine_rand.py @@ -1,6 +1,9 @@ from __future__ import print_function +from future import standard_library +standard_library.install_aliases() +from builtins import range import numpy as Num -import cPickle, os +import pickle, os n = 1000 @@ -22,11 +25,11 @@ def dfunc(x): xs[ii] = newton_raphson(func, dfunc, 0.0, 1.0) xs[0] = 0.0 xs[n] = 1.0 - cPickle.dump(xs, file("cosine_rand.pickle", "w"), 1) + pickle.dump(xs, file("cosine_rand.pickle", "w"), 1) else: pfile = os.path.join(os.environ['PRESTO'], "lib", "python", "cosine_rand.pickle") - xs = cPickle.load(file(pfile)) + xs = pickle.load(file(pfile)) def cosine_rand(num): """cosine_rand(num): Return num phases that are randomly distributed diff --git a/lib/python/events.py b/lib/python/events.py index ffa0be77f..6fa37c2fb 100644 --- a/lib/python/events.py +++ b/lib/python/events.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range import bisect import numpy as Num from psr_constants import PI, TWOPI, PIBYTWO diff --git a/lib/python/filterbank.py b/lib/python/filterbank.py index 86f23608c..59f80c049 100644 --- a/lib/python/filterbank.py +++ b/lib/python/filterbank.py @@ -5,6 +5,7 @@ (Minor modification from file originally from June 6th, 2009) """ from __future__ import print_function +from builtins import object import sys import warnings @@ -41,7 +42,7 @@ def create_filterbank_file(outfn, header, spectra=None, nbits=8, \ header['nbits'] = nbits outfile = open(outfn, 'wb') outfile.write(sigproc.addto_hdr("HEADER_START", None)) - for paramname in header.keys(): + for paramname in list(header.keys()): if paramname not in sigproc.header_params: # Only add recognized parameters continue diff --git a/lib/python/infodata.py b/lib/python/infodata.py index 27e770721..787496920 100644 --- a/lib/python/infodata.py +++ b/lib/python/infodata.py @@ -1,6 +1,7 @@ +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py -class infodata: +class infodata(object): def __init__(self, filenm): self.breaks = 0 for line in open(filenm): diff --git a/lib/python/injectpsr.py b/lib/python/injectpsr.py index 0af70e011..9e708c756 100755 --- a/lib/python/injectpsr.py +++ b/lib/python/injectpsr.py @@ -6,6 +6,8 @@ Patrick Lazarus, June 26, 2012 """ from __future__ import print_function +from builtins import zip +from builtins import object import sys import argparse import warnings diff --git a/lib/python/kuiper.py b/lib/python/kuiper.py index e44399b75..146ec75b9 100644 --- a/lib/python/kuiper.py +++ b/lib/python/kuiper.py @@ -1,11 +1,12 @@ from __future__ import print_function +from builtins import range import numpy as num import Pgplot from functools import reduce def noverk(n,k): # This is the combinations formula - return float(reduce(lambda a,b: a*(n-b)/(b+1), xrange(k),1)) + return float(reduce(lambda a,b: a*(n-b)/(b+1), range(k),1)) def Tt(t, z, N): overN = 1.0/float(N) diff --git a/lib/python/mpfit.py b/lib/python/mpfit.py index 531239aad..9719f2dcc 100644 --- a/lib/python/mpfit.py +++ b/lib/python/mpfit.py @@ -401,6 +401,9 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) August, 2002. Mark Rivers """ from __future__ import print_function +from builtins import str +from builtins import range +from builtins import object import numpy import types @@ -588,7 +591,7 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) # # ********** -class mpfit: +class mpfit(object): def __init__(self, fcn, xall=None, functkw={}, parinfo=None, ftol=1.e-10, xtol=1.e-10, gtol=1.e-10, damp=0., maxiter=200, factor=100., nprint=1, @@ -2236,7 +2239,7 @@ def calc_covar(self, rr, ipvt=None, tol=1.e-14): return(r) -class machar: +class machar(object): def __init__(self, double=1): if (double == 0): self.machep = 1.19209e-007 diff --git a/lib/python/parfile.py b/lib/python/parfile.py index 58c141eca..807cc0efe 100644 --- a/lib/python/parfile.py +++ b/lib/python/parfile.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import object from types import StringType, FloatType import math, re import psr_utils as pu @@ -56,7 +57,7 @@ "DMXR2_", "DMXF1_", "DMXF2_"] str_keys = ["FILE", "PSR", "PSRJ", "RAJ", "DECJ", "EPHEM", "CLK", "BINARY"] -class psr_par: +class psr_par(object): def __init__(self, parfilenm): self.FILE = parfilenm pf = open(parfilenm) @@ -190,7 +191,7 @@ def __init__(self, parfilenm): pf.close() def __str__(self): out = "" - for k, v in self.__dict__.items(): + for k, v in list(self.__dict__.items()): if k[:2]!="__": if type(self.__dict__[k]) is StringType: out += "%10s = '%s'\n" % (k, v) diff --git a/lib/python/polycos.py b/lib/python/polycos.py index 4c351dd67..5224ab0d4 100644 --- a/lib/python/polycos.py +++ b/lib/python/polycos.py @@ -1,3 +1,5 @@ +from builtins import range +from builtins import object import os import sys import subprocess @@ -61,7 +63,7 @@ "Geocenter": 12, \ "Barycenter": 12} -class polyco: +class polyco(object): def __init__(self, fileptr): line = fileptr.readline() if (line==""): @@ -136,7 +138,7 @@ def freq(self, mjdi, mjdf): psrfreq = DT*psrfreq + ii*self.coeffs[ii] return self.F0 + psrfreq/60.0 -class polycos: +class polycos(object): def __init__(self, psrname, filenm="polyco.dat"): self.psr = psrname self.file = filenm diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index 7a1bb651f..efd976534 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -1,11 +1,13 @@ from __future__ import print_function +from builtins import range +from builtins import object import numpy as Num import copy, random, struct, sys import psr_utils, infodata, polycos, Pgplot from types import StringType, FloatType, IntType from bestprof import bestprof -class pfd: +class pfd(object): def __init__(self, filename): self.pfd_filename = filename @@ -187,7 +189,7 @@ def __init__(self, filename): def __str__(self): out = "" - for k, v in self.__dict__.items(): + for k, v in list(self.__dict__.items()): if k[:2]!="__": if type(self.__dict__[k]) is StringType: out += "%10s = '%s'\n" % (k, v) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 345f76d3c..026055009 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import str +from builtins import range import numpy as Num import numpy.fft as FFT import Pgplot, ppgplot, bisect, sinc_interp, parfile @@ -114,7 +116,7 @@ def hist(data, bins, range=None, laby="Number", **kwargs): maxy = int(1.1*max(ys)) if maxy < max(ys): maxy = max(ys) + 1.0 - if 'rangey' not in kwargs.keys(): + if 'rangey' not in list(kwargs.keys()): kwargs['rangey']=[0,maxy] Pgplot.plotbinned(ys, xs, laby=laby, **kwargs) return (xs, ys) diff --git a/lib/python/psrfits.py b/lib/python/psrfits.py index bcff68ff5..755a40799 100644 --- a/lib/python/psrfits.py +++ b/lib/python/psrfits.py @@ -9,6 +9,8 @@ """ from __future__ import print_function +from builtins import range +from builtins import object import re import os import os.path @@ -188,7 +190,7 @@ def get_spectra(self, startsamp, N): # Read data data = [] - for isub in xrange(startsub, endsub+1): + for isub in range(startsub, endsub+1): data.append(self.read_subint(isub)) if len(data) > 1: data = np.concatenate(data) @@ -214,7 +216,7 @@ def get_spectra(self, startsamp, N): starttime=self.tsamp*startsamp, dm=0) -class SpectraInfo: +class SpectraInfo(object): def __init__(self, filenames): self.filenames = filenames self.num_files = len(filenames) @@ -248,7 +250,7 @@ def __init__(self, filenames): primary = hdus['PRIMARY'].header - if 'TELESCOP' not in primary.keys(): + if 'TELESCOP' not in list(primary.keys()): telescope = "" else: telescope = primary['TELESCOP'] @@ -276,7 +278,7 @@ def __init__(self, filenames): self.beam_FWHM = primary['BMIN'] # CHAN_DM card is not in earlier versions of PSRFITS - if 'CHAN_DM' not in primary.keys(): + if 'CHAN_DM' not in list(primary.keys()): self.chan_dm = 0.0 else: self.chan_dm = primary['CHAN_DM'] diff --git a/lib/python/pypsrcat.py b/lib/python/pypsrcat.py index 68a9f4cb3..37152fb65 100644 --- a/lib/python/pypsrcat.py +++ b/lib/python/pypsrcat.py @@ -1,4 +1,7 @@ from __future__ import print_function +from past.builtins import cmp +from builtins import map +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py import struct, os, os.path, presto, psr_utils, math @@ -19,7 +22,7 @@ "TASC", "EPS1", "EPS2"] digits = '0123456789' -class psr: +class psr(object): def __init__(self, line): parts = line.split()[1:] part_index = 0 @@ -40,7 +43,7 @@ def __init__(self, line): elif param=="RAJ": if not parts[part_index]=='*': self.rajstr = parts[part_index] - hms = map(float, parts[part_index].split(':')) + hms = list(map(float, parts[part_index].split(':'))) if len(hms)==3: h, m, s = hms elif len(hms)==2: @@ -55,7 +58,7 @@ def __init__(self, line): elif param=="DECJ": if not parts[part_index]=='*': self.decjstr = parts[part_index] - dms = map(float, parts[part_index].split(':')) + dms = list(map(float, parts[part_index].split(':'))) if len(dms)==3: d, m, s = dms elif len(dms)==2: @@ -329,7 +332,7 @@ def pack_structs(self): pulsars[jname].alias = vals[2] infile.close() -psrs = pulsars.values() +psrs = list(pulsars.values()) psrs.sort() # Now create a new dictionary of pulsars with aliases diff --git a/lib/python/residuals.py b/lib/python/residuals.py index aa648a2fd..f5a9cd2a4 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import range +from builtins import object # # From the TEMPO Documentation: # @@ -16,7 +18,7 @@ import struct import numpy as Num -class residuals: +class residuals(object): pass def read_residuals(filename="resid2.tmp"): diff --git a/lib/python/rfifind.py b/lib/python/rfifind.py index 85d7f208e..dbeb3dff3 100644 --- a/lib/python/rfifind.py +++ b/lib/python/rfifind.py @@ -1,4 +1,7 @@ from __future__ import print_function +from builtins import zip +from builtins import range +from builtins import object import numpy as np import infodata from scipy.signal import medfilt @@ -39,7 +42,7 @@ class rfifind: """ -class rfifind: +class rfifind(object): def __init__(self, filename): self.basename = filename[:filename.find("_rfifind.")+8] self.idata = infodata.infodata(self.basename+".inf") @@ -144,7 +147,7 @@ def determine_padvals(self, frac_to_keep=0.8): num = int(np.round(self.nint*frac_to_keep)) start = (self.nint - num)/2 self.padvals = np.zeros(self.nchan, dtype='float32') - for ichan in xrange(self.nchan): + for ichan in range(self.nchan): isort = np.argsort(self.avg_stats[:,ichan]) self.padvals[ichan] = np.mean(self.avg_stats.astype('float64')[isort,ichan][start:start+num]) diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 7e083f968..0cc25cfd5 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,5 +1,10 @@ #!/usr/bin/env python from __future__ import print_function +from past.builtins import cmp +from builtins import zip +from builtins import str +from builtins import range +from builtins import object import sys import re import os @@ -530,7 +535,7 @@ def get_all_goodcands(self): def get_all_badcands(self): cands = [] - for key in self.badlists.keys(): + for key in list(self.badlists.keys()): cands += self.badlists[key] return cands @@ -547,7 +552,7 @@ def reject_longperiod(self, long_period=None): """ if long_period is None: long_period = globals()['long_period'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] if (cand.p > long_period): cand.note = "Period is too long (%g ms > %g ms)" % \ @@ -567,7 +572,7 @@ def reject_shortperiod(self, short_period=None): """ if short_period is None: short_period = globals()['short_period'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] if (cand.p < short_period): cand.note = "Period is too short (%g ms < %g ms)" % \ @@ -594,7 +599,7 @@ def reject_knownbirds(self, known_birds_f=[], known_birds_p=[]): known_birds_f = globals()['known_birds_f'] if known_birds_p is None: known_birds_p = globals()['known_birds_p'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] known_bird = 0 for bird, err in known_birds_f: @@ -637,7 +642,7 @@ def reject_threshold(self, sigma_threshold=None, \ sigma_threshold = globals()['sigma_threshold'] if c_pow_threshold is None: c_pow_threshold = globals()['c_pow_threshold'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] if cand.numharm == 1: @@ -671,7 +676,7 @@ def reject_harmpowcutoff(self, harm_pow_cutoff=None): """ if harm_pow_cutoff is None: harm_pow_cutoff = globals()['harm_pow_cutoff'] - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] maxharm = Num.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] @@ -689,7 +694,7 @@ def reject_rogueharmpow(self): Ouputs: None """ - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] maxharm = Num.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] @@ -767,7 +772,7 @@ def remove_duplicate_candidates(self, verbosity=1): # flag the duplicates bestcand = self.cands[bestindex] # Add other matching cands as hit of highest-sigma cand - for matchind in reversed(range(ii, jj)): + for matchind in reversed(list(range(ii, jj))): if matchind == bestindex: # The current candidate is the highest-sigma cand # Don't remove it @@ -901,13 +906,13 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): dmdict = {} dms = Num.unique([float(dm) for dm in dmlist]) dmstrs = ['%.2f'%dm for dm in dms] - dmdict = dict(zip(dmstrs, range(len(dms)))) + dmdict = dict(list(zip(dmstrs, list(range(len(dms)))))) numremoved = 0 num_toofew = 0 num_toolow = 0 num_gaps = 0 self.cands.sort(cmp_sigma) - for ii in reversed(range(len(self.cands))): + for ii in reversed(list(range(len(self.cands)))): currcand = self.cands[ii] # Remove all the candidates without enough DM hits if len(currcand.hits) < numdms: diff --git a/lib/python/sigproc.py b/lib/python/sigproc.py index 53b57a404..2794ece23 100755 --- a/lib/python/sigproc.py +++ b/lib/python/sigproc.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from builtins import zip import os import struct import sys @@ -12,13 +13,13 @@ "GBT": 6, "GMRT": 7, "Effelsberg": 8, "ATA": 9, "SRT": 10, "LOFAR": 11, "VLA": 12, "CHIME": 20, "FAST": 21, "MeerKAT": 64, "KAT-7": 65} -ids_to_telescope = dict(zip(telescope_ids.values(), telescope_ids.keys())) +ids_to_telescope = dict(list(zip(list(telescope_ids.values()), list(telescope_ids.keys())))) machine_ids = {"FAKE": 0, "PSPM": 1, "Wapp": 2, "WAPP": 2, "AOFTM": 3, "BCPM1": 4, "BPP": 4, "OOTY": 5, "SCAMP": 6, "GBT Pulsar Spigot": 7, "SPIGOT": 7, "BG/P": 11, "PDEV": 12, "CHIME+PSR": 20, "KAT": 64, "KAT-DC2": 65} -ids_to_machine = dict(zip(machine_ids.values(), machine_ids.keys())) +ids_to_machine = dict(list(zip(list(machine_ids.values()), list(machine_ids.keys())))) header_params = { "HEADER_START": 'flag', diff --git a/lib/python/simple_roots.py b/lib/python/simple_roots.py index c6e0c3305..af4d924ea 100644 --- a/lib/python/simple_roots.py +++ b/lib/python/simple_roots.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range # 'Safe' Newton-Raphson and Secant method # for numerical root-finding # @@ -20,7 +21,7 @@ def bisect(func, lox, hix, TOL=1e-14, MAXIT=200): dx, rtb = hix - lox, lox else: dx, rtb = lox - hix, hix - for i in xrange(MAXIT): + for i in range(MAXIT): dx = dx * 0.5 xmid = rtb + dx fmid = func(xmid) diff --git a/lib/python/singlepulse/make_spd.py b/lib/python/singlepulse/make_spd.py index 4c4dc9493..5895ed45f 100755 --- a/lib/python/singlepulse/make_spd.py +++ b/lib/python/singlepulse/make_spd.py @@ -12,6 +12,8 @@ """ from __future__ import print_function from __future__ import absolute_import +from builtins import map +from builtins import range import sys import copy @@ -196,11 +198,11 @@ def make_spd_from_file(spdcand, rawdatafile, \ delays_nozerodm = delays_nozerodm, \ freqs_nozerodm = freqs_nozerodm,\ Data_zerodm = Data_zerodm.astype(np.float16), \ - dm_arr= map(np.float16, dm_arr),\ - sigma_arr = map(np.float16, sigma_arr), \ - width_arr =map(np.uint8, width_arr),\ - dm_list= map(np.float16, dm_list), \ - time_list = map(np.float16, time_list), \ + dm_arr= list(map(np.float16, dm_arr)),\ + sigma_arr = list(map(np.float16, sigma_arr)), \ + width_arr =list(map(np.uint8, width_arr)),\ + dm_list= list(map(np.float16, dm_list)), \ + time_list = list(map(np.float16, time_list)), \ text_array = text_array) #### Arrays for Plotting DM vs Time is in plot_spd.plot(...) if plot: diff --git a/lib/python/singlepulse/plot_spd.py b/lib/python/singlepulse/plot_spd.py index 79a5c1a1a..0e5a8f748 100755 --- a/lib/python/singlepulse/plot_spd.py +++ b/lib/python/singlepulse/plot_spd.py @@ -9,6 +9,7 @@ Chitrang Patel - June 10, 2016. """ from __future__ import print_function +from builtins import map import numpy as np import optparse import tarfile @@ -306,8 +307,8 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal spfiles = singlepulsefiles threshold = 5.0 if len(spfiles) > 2: - dm_list = map(np.float32, list(dm_arr)) - time_list = map(np.float32, list(time_arr)) + dm_list = list(map(np.float32, list(dm_arr))) + time_list = list(map(np.float32, list(time_arr))) if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) else: diff --git a/lib/python/singlepulse/read_spd.py b/lib/python/singlepulse/read_spd.py index 40db14914..287c8445a 100755 --- a/lib/python/singlepulse/read_spd.py +++ b/lib/python/singlepulse/read_spd.py @@ -1,8 +1,9 @@ +from builtins import object import numpy as _np from scipy.special import erf as _erf import sys -class spd: +class spd(object): """ A class for reading in single pulse files. diff --git a/lib/python/singlepulse/rrattrap.py b/lib/python/singlepulse/rrattrap.py index 4bc52db0f..0c8fb4d7b 100755 --- a/lib/python/singlepulse/rrattrap.py +++ b/lib/python/singlepulse/rrattrap.py @@ -15,6 +15,10 @@ Updated by Chitrang Patel June 10, 2016. """ from __future__ import print_function +from past.builtins import cmp +from builtins import str +from builtins import range +from builtins import object import fileinput import numpy as np from time import strftime @@ -217,9 +221,9 @@ def grouping_rfi(groups, use_dmplan=False, time_thresh=0.5, dm_thresh=0.1): while didcombine: didcombine = False # If a group is very close to a group of rfi, set it as rfi - for i in reversed(range(len(groups))): + for i in reversed(list(range(len(groups)))): grp1 = groups[i] - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if j <= i: continue grp2 = groups[j] @@ -586,7 +590,7 @@ def pop_by_rank(groups, rank): Outputs: None """ - for j in reversed(range(len(groups))): + for j in reversed(list(range(len(groups)))): if groups[j].rank == rank: del groups[j] diff --git a/lib/python/singlepulse/rrattrap_config.py b/lib/python/singlepulse/rrattrap_config.py index 87569c464..957160312 100644 --- a/lib/python/singlepulse/rrattrap_config.py +++ b/lib/python/singlepulse/rrattrap_config.py @@ -1,3 +1,4 @@ +from builtins import range #! /usr/bin/env python CLOSE_DM = 2 # pc cm-3 diff --git a/lib/python/singlepulse/sp_pgplot.py b/lib/python/singlepulse/sp_pgplot.py index 405bb0348..78b5e8d27 100755 --- a/lib/python/singlepulse/sp_pgplot.py +++ b/lib/python/singlepulse/sp_pgplot.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import range +from builtins import object ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py ## Automatically adapted for numpy Apr 14, 2006 by convertcode.py @@ -219,7 +221,7 @@ def dm_time_plot(dms, times, sigmas, dm_arr, sigma_arr, time_arr, Total_observed ######################################################################### -class Palette: +class Palette(object): # Set the color palette def setpalette(self, palette): """ diff --git a/lib/python/singlepulse/spcand.py b/lib/python/singlepulse/spcand.py index e6eb5f44e..cd1f16140 100755 --- a/lib/python/singlepulse/spcand.py +++ b/lib/python/singlepulse/spcand.py @@ -1,4 +1,5 @@ from __future__ import absolute_import +from builtins import object import numpy as np from . import bary_and_topo def topo_timeshift(bary_start_time, time_shift, topo): @@ -24,7 +25,7 @@ def numsub(nchans, snr): nsub = nchans return nsub -class params: +class params(object): """ A class for input parameters for the spd plots. diff --git a/lib/python/singlepulse/spio.py b/lib/python/singlepulse/spio.py index 421acdde4..91c6ffb77 100755 --- a/lib/python/singlepulse/spio.py +++ b/lib/python/singlepulse/spio.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range import numpy as _np import fileinput as _fileinput from scipy.special import erf @@ -224,7 +225,7 @@ def gen_arrays(dm, sp_files, tar, threshold): hidm = max_dm+diff_dm if (ddm <= 0): ddm = 0 - name_DMs = _np.asarray(map(lambda x:pick_DM_for_singlepulse_files(sp_files[x]), range(len(sp_files)))) + name_DMs = _np.asarray([pick_DM_for_singlepulse_files(sp_files[x]) for x in range(len(sp_files))]) inds = name_DMs.argsort() name_DMs = name_DMs[inds] sp_files = _np.asarray(sp_files)[inds] diff --git a/lib/python/spectra.py b/lib/python/spectra.py index 99150cd5c..83dd27686 100644 --- a/lib/python/spectra.py +++ b/lib/python/spectra.py @@ -1,3 +1,6 @@ +from builtins import str +from builtins import range +from builtins import object import copy import numpy as np diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index b61c89ddd..d418b5d69 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,3 +1,4 @@ +from builtins import map import sifting, re, glob # Note: You will almost certainly want to adjust @@ -50,7 +51,7 @@ dmstrs = [x.split("DM")[-1].split("_")[0] for x in candfiles] else: dmstrs = [x.split("DM")[-1].split(".inf")[0] for x in inffiles] -dms = map(float, dmstrs) +dms = list(map(float, dmstrs)) dms.sort() dmstrs = ["%.2f"%x for x in dms] diff --git a/python/binopttest/bindata.py b/python/binopttest/bindata.py index 65c425e41..c442c3a47 100644 --- a/python/binopttest/bindata.py +++ b/python/binopttest/bindata.py @@ -1,4 +1,7 @@ from __future__ import print_function +from future import standard_library +standard_library.install_aliases() +from builtins import range def catvar(col): ret = [] global a, b, c, d, e @@ -28,7 +31,7 @@ def readsaves(file='montebinopt_saves.txt'): return result def saveresults(file="testresults.txt"): - from cPickle import * + from pickle import * global psrp, orbp, orbx, orbe, orbw, orbt global widthp, widthx, widtht, widthe, widthw global mf, z @@ -127,7 +130,7 @@ def help(funct): """ print(eval(funct + '.__doc__')) - from cPickle import * + from pickle import * vars = ('psrp', 'orbp', 'orbx', 'orbe', 'orbw', 'orbt', 'widthp', 'widthx', 'widtht', 'widthe', 'widthw', 'mf', 'z') diff --git a/python/binopttest/comb.py b/python/binopttest/comb.py index 6e4562931..11a951335 100644 --- a/python/binopttest/comb.py +++ b/python/binopttest/comb.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from Numeric import * from presto import * from LeastSquares import leastSquaresFit diff --git a/python/binopttest/montebinopt.py b/python/binopttest/montebinopt.py index 688f7f649..dd5f9854a 100644 --- a/python/binopttest/montebinopt.py +++ b/python/binopttest/montebinopt.py @@ -1,5 +1,10 @@ from __future__ import print_function -import math, string, Numeric, presto, random, sys, cPickle +from future import standard_library +standard_library.install_aliases() +from builtins import str +from builtins import input +from builtins import range +import math, string, Numeric, presto, random, sys, pickle from LeastSquares import leastSquaresFit from orbitstuff import * @@ -141,7 +146,7 @@ def corr(data, kernel, numbetween, firsttime=0): Pgplot.plotxy(presto.spectralpower(data), color='red', title='Data', labx='Fourier Frequency', laby='Relative Power') - a = raw_input("Press enter to continue...") + a = input("Press enter to continue...") Pgplot.nextplotpage(1) # Perform the loops over the Keplerian parameters @@ -199,7 +204,7 @@ def corr(data, kernel, numbetween, firsttime=0): # Plot the results of the correlation Pgplot.plotxy(respow, labx='Frequency', laby='Relative Power') - a = raw_input("Press enter to continue...") + a = input("Press enter to continue...") Pgplot.nextplotpage(1) # A very rough adaptive stepsize if abs(vals[-3][1] - vals[-1][1]) < 0.04: @@ -223,6 +228,6 @@ def corr(data, kernel, numbetween, firsttime=0): if debugout: print('Widths are', widths[i]) # Save our most recent orbit and width information - cPickle.dump(widths[i], file, 1) + pickle.dump(widths[i], file, 1) file.close() diff --git a/python/binresponses/monte_ffdot.py b/python/binresponses/monte_ffdot.py index 6ae4bd208..841b9300f 100644 --- a/python/binresponses/monte_ffdot.py +++ b/python/binresponses/monte_ffdot.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/binresponses/monte_short.py b/python/binresponses/monte_short.py index 4e26df17d..df4fed2f1 100644 --- a/python/binresponses/monte_short.py +++ b/python/binresponses/monte_short.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/binresponses/monte_sideb.py b/python/binresponses/monte_sideb.py index 575ed95b5..e5cd6edad 100644 --- a/python/binresponses/monte_sideb.py +++ b/python/binresponses/monte_sideb.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/binresponses/montebinresp.py b/python/binresponses/montebinresp.py index 72ca725b8..719c312cf 100644 --- a/python/binresponses/montebinresp.py +++ b/python/binresponses/montebinresp.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from time import clock from math import * from Numeric import * diff --git a/python/concatdata.py b/python/concatdata.py index 1b322e5a4..f21b89985 100644 --- a/python/concatdata.py +++ b/python/concatdata.py @@ -1,4 +1,7 @@ from __future__ import print_function +from future import standard_library +standard_library.install_aliases() +from builtins import range # Binary floating point data file concatenation routine # # Written by Scott M. Ransom @@ -93,7 +96,7 @@ def subtractMJDs(MJDi1, MJDf1, MJDi2, MJDf2): file_data.append(infodata(infile[index]+".inf")) file_data[index].mjd_i = int(file_data[index].epoch) file_data[index].mjd_f = file_data[index].epoch - file_data[index].mjd_i - file_N.append(long(file_data[index].N + 1.0e-10)) + file_N.append(int(file_data[index].N + 1.0e-10)) file_startMJDi.append(file_data[index].mjd_i) file_startMJDf.append(file_data[index].mjd_f) diff --git a/python/dedisp.py b/python/dedisp.py index 4d9027bc5..a01546053 100644 --- a/python/dedisp.py +++ b/python/dedisp.py @@ -1,4 +1,6 @@ from __future__ import print_function +from builtins import zip +from builtins import range import os # To use this script to help you dedisperse a bunch of time series, first diff --git a/python/ppdot_plane_plot.py b/python/ppdot_plane_plot.py index 606d6c86e..235f799bc 100644 --- a/python/ppdot_plane_plot.py +++ b/python/ppdot_plane_plot.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import zip import numpy as np import psr_utils as pu import pypsrcat as cat diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index e0422b71b..c329f81d6 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -1,5 +1,7 @@ from __future__ import print_function from __future__ import absolute_import +from builtins import input +from builtins import range from .prestoswig import * import os.path import numpy as np diff --git a/python/presto_src/prestoswig.py b/python/presto_src/prestoswig.py index ed32347f0..ecd58482d 100644 --- a/python/presto_src/prestoswig.py +++ b/python/presto_src/prestoswig.py @@ -1,3 +1,4 @@ +from builtins import object # This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.12 # @@ -91,7 +92,7 @@ def _swig_repr(self): _object = object _newclass = 1 except __builtin__.Exception: - class _object: + class _object(object) : pass pass _newclass = 0 diff --git a/python/show_zresp.py b/python/show_zresp.py index 8b323bce8..743ec78e2 100644 --- a/python/show_zresp.py +++ b/python/show_zresp.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from numpy import * from Pgplot import * from presto import * diff --git a/python/testcorr.py b/python/testcorr.py index ba3bf2947..54523ebe0 100644 --- a/python/testcorr.py +++ b/python/testcorr.py @@ -1,4 +1,5 @@ from __future__ import print_function +from builtins import range from numpy import * from Pgplot import * from presto import * diff --git a/python/wrappers/presto.py b/python/wrappers/presto.py index ed32347f0..ecd58482d 100644 --- a/python/wrappers/presto.py +++ b/python/wrappers/presto.py @@ -1,3 +1,4 @@ +from builtins import object # This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.12 # @@ -91,7 +92,7 @@ def _swig_repr(self): _object = object _newclass = 1 except __builtin__.Exception: - class _object: + class _object(object) : pass pass _newclass = 0 From cb74f35bb608ecc08476a55602782d581ab62847 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 12:25:24 +0200 Subject: [PATCH 062/146] Non-Unicode escapes (perhaps incompletely) fixed --- lib/python/psr_utils.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 026055009..6551352e6 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -515,9 +515,9 @@ def bins_to_accel(z, T, f=[1.0, 1000.0], device="/XWIN"): if (device): Pgplot.plotxy(Num.log10(accels), fs, logx=1, logy=1, labx="Frequency (Hz)", - laby="Acceleration (m/s\u2\d)", device=device) + laby=r"Acceleration (m/s\u2\d)", device=device) ppgplot.pgmtxt("T", -2.0, 0.75, 0.0, "T = %.0f sec"%T) - ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, "r\B\u\.\d = %.1f bins"%z) + ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, r"r\B\u\.\d = %.1f bins"%z) if (device != '/XWIN'): Pgplot.closeplot() else: @@ -861,12 +861,12 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, logx=1, logy=1, labx="Dispersion Measure", laby="Smearing (ms)", device=device) ppgplot.pgsch(0.8) - ppgplot.pgmtxt("t", 1.5, 1.0/12.0, 0.5, "\(2156)\dcenter\u = %gMHz" % freq) - ppgplot.pgmtxt("t", 1.5, 3.0/12.0, 0.5, "N\dchan\u = %d" % numchan) - ppgplot.pgmtxt("t", 1.5, 5.0/12.0, 0.5, "N\dsub\u = %d" % numsub) - ppgplot.pgmtxt("t", 1.5, 7.0/12.0, 0.5, "BW\dchan\u = %gMHz" % chanwidth) - ppgplot.pgmtxt("t", 1.5, 9.0/12.0, 0.5, "\gDDM = %g" % dmstep) - ppgplot.pgmtxt("t", 1.5, 11.0/12.0, 0.5, "\gDDM\dsub\u = %g" % subdmstep) + ppgplot.pgmtxt("t", 1.5, 1.0/12.0, 0.5, r"\(2156)\dcenter\u = %gMHz" % freq) + ppgplot.pgmtxt("t", 1.5, 3.0/12.0, 0.5, r"N\dchan\u = %d" % numchan) + ppgplot.pgmtxt("t", 1.5, 5.0/12.0, 0.5, r"N\dsub\u = %d" % numsub) + ppgplot.pgmtxt("t", 1.5, 7.0/12.0, 0.5, r"BW\dchan\u = %gMHz" % chanwidth) + ppgplot.pgmtxt("t", 1.5, 9.0/12.0, 0.5, r"\gDDM = %g" % dmstep) + ppgplot.pgmtxt("t", 1.5, 11.0/12.0, 0.5, r"\gDDM\dsub\u = %g" % subdmstep) ppgplot.pgsch(1.0) ppgplot.pgmtxt("b", -7.5, 0.95, 1.0, "Total") Pgplot.plotxy(Num.log10(dts), ldms, color="green", From ec5b58f4446eeb4c9ff688d188f23de2bea7974e Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:14:56 +0200 Subject: [PATCH 063/146] Change Py_InitModule ans similar to the Python3 equivalent --- python/ppgplot_src/_ppgplot.c | 42 +++++++++++++++++++++++++++++++++-- 1 file changed, 40 insertions(+), 2 deletions(-) diff --git a/python/ppgplot_src/_ppgplot.c b/python/ppgplot_src/_ppgplot.c index 4ddbf7f15..a2822bfa5 100644 --- a/python/ppgplot_src/_ppgplot.c +++ b/python/ppgplot_src/_ppgplot.c @@ -2308,23 +2308,61 @@ static PyMethodDef PpgMethods[] = { {NULL, NULL} /* Sentinel */ }; +#if PY_MAJOR_VERSION >= 3 + static struct PyModuleDef ppgplotdef = { + PyModuleDef_HEAD_INIT, + "_ppgplot", /* m_name */ + "PPGPLOT Module", /* m_doc */ + -1, /* m_size */ + PpgMethods, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ + }; +#endif + /************************************************************************/ -void -init_ppgplot (void) +static PyObject * +moduleinit(void) { PyObject *m, *d; +#if PY_MAJOR_VERSION <= 2 m = Py_InitModule("_ppgplot", PpgMethods); +#else + m = PyModule_Create(&ppgplotdef); +#endif d = PyModule_GetDict(m); import_array(); +#if PY_MAJOR_VERSION <= 2 PpgIOErr = PyString_FromString("_ppgplot.ioerror"); PpgTYPEErr = PyString_FromString("_ppgplot.typeerror"); PpgMEMErr = PyString_FromString("_ppgplot.memerror"); +#else + PpgIOErr = PyBytes_FromString("_ppgplot.ioerror"); + PpgTYPEErr = PyBytes_FromString("_ppgplot.typeerror"); + PpgMEMErr = PyBytes_FromString("_ppgplot.memerror"); +#endif PyDict_SetItemString(d, "ioerror", PpgIOErr); PyDict_SetItemString(d, "typeerror", PpgTYPEErr); PyDict_SetItemString(d, "memerror", PpgMEMErr); + return m; } +#if PY_MAJOR_VERSION < 3 + void + init_ppgplot(void) + { + moduleinit(); + } +#else + PyMODINIT_FUNC + PyInit__ppgplot(void) + { + return moduleinit(); + } +#endif /************************************************************************/ /* End of _ppgplot.c */ /************************************************************************/ From d3c27dc11b454eea44d73de0cd31997bd31675b4 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:16:05 +0200 Subject: [PATCH 064/146] avoid StringType --- lib/python/parfile.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/lib/python/parfile.py b/lib/python/parfile.py index 807cc0efe..cd9d3c89b 100644 --- a/lib/python/parfile.py +++ b/lib/python/parfile.py @@ -1,6 +1,8 @@ from __future__ import print_function from builtins import object -from types import StringType, FloatType +import six +#from types import StringType, FloatType +import collections import math, re import psr_utils as pu try: @@ -189,11 +191,12 @@ def __init__(self, parfilenm): setattr(self, 'E', self.ECC) setattr(self, 'E_ERR', self.ECC_ERR) pf.close() + def __str__(self): out = "" for k, v in list(self.__dict__.items()): if k[:2]!="__": - if type(self.__dict__[k]) is StringType: + if type(self.__dict__[k]) in six.string_types: out += "%10s = '%s'\n" % (k, v) else: out += "%10s = %-20.15g\n" % (k, v) From e41d71c34e6f9e242f764d1a6eb7701aa2b1f1c6 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:49:24 +0200 Subject: [PATCH 065/146] Allow for module names created in Python3.4 and/or with conda --- python/Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/Makefile b/python/Makefile index 2db969c98..8d408d025 100644 --- a/python/Makefile +++ b/python/Makefile @@ -1,7 +1,7 @@ build: python setup.py install --home=${PRESTO} cd fftfit_src ; f2py -c fftfit.pyf *.f - cd fftfit_src ; cp fftfit.so ${PRESTO}/lib/python + cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python python fftfit_src/test_fftfit.py clean: From 33b143d335e71e7a004844eb6447aeaa41624f2f Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:50:11 +0200 Subject: [PATCH 066/146] Python-3 compatible module definition --- tests/python/test.c | 38 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 36 insertions(+), 2 deletions(-) diff --git a/tests/python/test.c b/tests/python/test.c index 604abce96..cf474ff66 100644 --- a/tests/python/test.c +++ b/tests/python/test.c @@ -62,15 +62,49 @@ static PyMethodDef my_range_method[] = { { NULL, NULL } }; -void initmy_range() +#if PY_MAJOR_VERSION >= 3 + static struct PyModuleDef moduledef = { + PyModuleDef_HEAD_INIT, + "my_range", /* m_name */ + module___doc__, /* m_doc */ + -1, /* m_size */ + my_range_method, /* m_methods */ + NULL, /* m_reload */ + NULL, /* m_traverse */ + NULL, /* m_clear */ + NULL, /* m_free */ + }; +#endif + +static PyObject * +moduleinit() { PyObject *m, *d; - m = Py_InitModule("my_range", my_range_method); +#if PY_MAJOR_VERSION >= 3 + m = PyModule_Create(&moduledef); +#else + m = Py_InitModule("my_range", my_range_method); +#endif d = PyModule_GetDict(m); import_array(); ErrorObject = PyString_FromString("my_range.error"); PyDict_SetItemString(d, "error", ErrorObject); if (PyErr_Occurred()) Py_FatalError("can't initialize module my_range"); + return m; } + +#if PY_MAJOR_VERSION < 3 + PyMODINIT_FUNC + initmy_range(void) + { + moduleinit(); + } +#else + PyMODINIT_FUNC + PyInit_my_range(void) + { + return moduleinit(); + } +#endif \ No newline at end of file From 98281b8effff2c266e525928307a410b559da81f Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:56:40 +0200 Subject: [PATCH 067/146] Wrong indentation --- lib/python/polycos.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/polycos.py b/lib/python/polycos.py index 5224ab0d4..5126a2467 100644 --- a/lib/python/polycos.py +++ b/lib/python/polycos.py @@ -147,7 +147,7 @@ def __init__(self, psrname, filenm="polyco.dat"): infile = open(filenm, "r") tmppoly = polyco(infile) while(tmppoly.psr): - if (len(self.polycos)): + if (len(self.polycos)): if (tmppoly.dataspan != self.dataspan): sys.stderr.write("Data span is changing!\n") else: From 4eb40745d6dc0cf92c1714ef74ea3a1ba9a167cc Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 14:56:51 +0200 Subject: [PATCH 068/146] Fix strings --- lib/python/prepfold.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index efd976534..6d5d28c96 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -656,7 +656,7 @@ def plot_chi2_vs_DM(self, loDM, hiDM, N=100, interp=0, device='/xwin'): sumprof = profs.sum(0) chis[ii] = self.calc_redchi2(prof=sumprof, avg=avgprof) # Now plot it - Pgplot.plotxy(chis, DMs, labx="DM", laby="Reduced-\gx\u2\d", device=device) + Pgplot.plotxy(chis, DMs, labx="DM", laby=r"Reduced-\gx\u2\d", device=device) return (chis, DMs) def plot_chi2_vs_sub(self, device='/xwin'): @@ -684,7 +684,7 @@ def plot_chi2_vs_sub(self, device='/xwin'): for ii in range(self.nsub): chis[ii] = self.calc_redchi2(prof=profs[ii], avg=avgs[ii], var=vars[ii]) # Now plot it - Pgplot.plotxy(chis, labx="Subband Number", laby="Reduced-\gx\u2\d", + Pgplot.plotxy(chis, labx="Subband Number", laby=r"Reduced-\gx\u2\d", rangey=[0.0, max(chis)*1.1], device=device) return chis From 9ac7906d4177d9aba5faf7eb18a11b8acffd11f3 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 15:04:37 +0200 Subject: [PATCH 069/146] Avoid 'from types ...' --- lib/python/prepfold.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index 6d5d28c96..ab438e7bd 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -4,7 +4,9 @@ import numpy as Num import copy, random, struct, sys import psr_utils, infodata, polycos, Pgplot -from types import StringType, FloatType, IntType +# from types import StringType, FloatType, IntType +import six +import numbers from bestprof import bestprof class pfd(object): @@ -191,11 +193,11 @@ def __str__(self): out = "" for k, v in list(self.__dict__.items()): if k[:2]!="__": - if type(self.__dict__[k]) is StringType: + if isinstance(self.__dict__[k], six.string_types): out += "%10s = '%s'\n" % (k, v) - elif type(self.__dict__[k]) is IntType: + elif isinstance(self.__dict__[k], numbers.Integral): out += "%10s = %d\n" % (k, v) - elif type(self.__dict__[k]) is FloatType: + elif isinstance(self.__dict__[k], numbers.Real): out += "%10s = %-20.15g\n" % (k, v) return out From 1519216fd3695ecef0bcf6ded616b5a746c7b612 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 15:06:04 +0200 Subject: [PATCH 070/146] Avoid 'from types ...' --- bin/get_TOAs.py | 1 - 1 file changed, 1 deletion(-) diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index ff5f0c6e5..76d3d5ff0 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -7,7 +7,6 @@ from prepfold import pfd from polycos import polycos from psr_constants import * -from types import StringType, FloatType, IntType scopes = {'GBT':'1', 'Arecibo':'3', From 647ae2483296c3ebcb07bd565c0c09da81bf2a3d Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 15:09:40 +0200 Subject: [PATCH 071/146] Eliminate unused 'from types ...' --- bin/sum_profiles.py | 1 - 1 file changed, 1 deletion(-) diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index 569b4fed3..2b2f6de64 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -8,7 +8,6 @@ from prepfold import pfd from polycos import polycos from psr_constants import * -from types import StringType, FloatType, IntType scopes = {'GBT':'1', 'Arecibo':'3', 'Parkes':'7', 'GMRT': 'r'} From d50433e5802962303a2d75e80eb8f37de603633e Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 16:15:59 +0200 Subject: [PATCH 072/146] Fix string/byte issues --- lib/python/prepfold.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/lib/python/prepfold.py b/lib/python/prepfold.py index ab438e7bd..7c5701207 100644 --- a/lib/python/prepfold.py +++ b/lib/python/prepfold.py @@ -30,15 +30,17 @@ def __init__(self, filename): struct.unpack(swapchar+"i"*5, data) (self.proflen, self.numchan, self.pstep, self.pdstep, self.dmstep, \ self.ndmfact, self.npfact) = struct.unpack(swapchar+"i"*7, infile.read(7*4)) + self.filenm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) + print(self.proflen, self.ndmfact, self.npfact, self.nsub, self.filenm) self.candnm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) self.telescope = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) self.pgdev = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) test = infile.read(16) - if not test[:8]=="Unknown" and ':' in test: - self.rastr = test[:test.find('\0')] + if not test[:8]==b"Unknown" and b':' in test: + self.rastr = test[:test.find(b'\0')] test = infile.read(16) - self.decstr = test[:test.find('\0')] + self.decstr = test[:test.find(b'\0')] else: self.rastr = "Unknown" self.decstr = "Unknown" @@ -116,7 +118,7 @@ def __init__(self, filename): self.profs = Num.reshape(self.profs, (self.npart, self.nsub, self.proflen)) if (self.numchan==1): try: - idata = infodata.infodata(self.filenm[:self.filenm.rfind('.')]+".inf") + idata = infodata.infodata(self.filenm[:self.filenm.rfind(b'.')]+b".inf") try: if idata.waveband=="Radio": self.bestdm = idata.DM @@ -173,7 +175,7 @@ def __init__(self, filename): infile.close() self.barysubfreqs = None if self.avgvoverc==0: - if self.candnm.startswith("PSR_"): + if self.candnm.startswith(b"PSR_"): # If this doesn't work, we should try to use the barycentering calcs # in the presto module. try: From fc83056d8e4155e4efa19ad83d2ad3d0e617494d Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 16:16:14 +0200 Subject: [PATCH 073/146] Fix file() usage --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 6551352e6..3de44bf5b 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -944,7 +944,7 @@ def read_profile(filenm, normalize=0): normalized if 'normalize' is true. """ prof = [] - for line in file(filenm): + for line in open(filenm): if line.startswith("#"): continue else: prof.append(float(line.split()[-1])) prof = Num.asarray(prof) From 0f04ca78328d78122f5ea6528363ed4744907282 Mon Sep 17 00:00:00 2001 From: Matteo Bachetti Date: Thu, 20 Oct 2016 16:18:58 +0200 Subject: [PATCH 074/146] Fix file() usage --- lib/python/cosine_rand.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/python/cosine_rand.py b/lib/python/cosine_rand.py index 40941252a..df2bc0337 100644 --- a/lib/python/cosine_rand.py +++ b/lib/python/cosine_rand.py @@ -25,11 +25,11 @@ def dfunc(x): xs[ii] = newton_raphson(func, dfunc, 0.0, 1.0) xs[0] = 0.0 xs[n] = 1.0 - pickle.dump(xs, file("cosine_rand.pickle", "w"), 1) + pickle.dump(xs, open("cosine_rand.pickle", "w"), 1) else: pfile = os.path.join(os.environ['PRESTO'], "lib", "python", "cosine_rand.pickle") - xs = pickle.load(file(pfile)) + xs = pickle.load(open(pfile)) def cosine_rand(num): """cosine_rand(num): Return num phases that are randomly distributed From 731d54ab74c4543418ab097b7cfc82afef4f6afb Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 15:38:36 -0400 Subject: [PATCH 075/146] Updated prints --- python/ffdot_example.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ffdot_example.py b/python/ffdot_example.py index 7c7a98202..2ffa76b61 100644 --- a/python/ffdot_example.py +++ b/python/ffdot_example.py @@ -31,15 +31,15 @@ a = time.clock() [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+norm(1)[0]/5.0, z+norm(1)[0], norm=1.0) -print "Time for rz:", time.clock()-a -print r, rmax, z, zmax, theo_max_pow, maxpow +print("Time for rz:", time.clock()-a) +print(r, rmax, z, zmax, theo_max_pow, maxpow) a = time.clock() [maxpow, rmax, zmax, wmax, rd] = presto.maximize_rzw(ft, r+norm(1)[0]/5.0, z+norm(1)[0], w+norm(1)[0]*5.0, norm=1.0) -print "Time for rzw:", time.clock()-a -print r, rmax, z, zmax, w, wmax, theo_max_pow, maxpow +print("Time for rzw:", time.clock()-a) +print(r, rmax, z, zmax, w, wmax, theo_max_pow, maxpow) #print "Raw power should be ~%.2e" % theo_max_pow pffdot = pffdot / theo_max_pow pffdot.shape = (np, np) From 7959d20b889341e2db0af267308c004a17cd1544 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 15:58:27 -0400 Subject: [PATCH 076/146] Check for string in Py2/3 compatible way --- lib/python/Pgplot.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/lib/python/Pgplot.py b/lib/python/Pgplot.py index 027bd7be9..cb309c859 100644 --- a/lib/python/Pgplot.py +++ b/lib/python/Pgplot.py @@ -2,9 +2,7 @@ from builtins import str from builtins import range from builtins import object -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py - -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py +import sys # Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' # and the Python 'PPGPLOT' package @@ -24,6 +22,10 @@ import numpy as Num import types, math, ppgplot +# Check if string in Py2 and Py3 compatible way +def isstr(var): + return isinstance(var, str if sys.version_info[0] >= 3 else basestring) + # True if we have an /XWIN or /XSERVE device open yet ppgplot_dev_open_ = 0 @@ -340,7 +342,7 @@ def plotxy(y, x=None, title=None, rangex=None, rangey=None, \ logx, logy, logx2, logy2, font, fontsize, \ id, aspect, ticks, panels, device=device) # Choose the line color - if type(color) == bytes: + if isstr(color): ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -539,7 +541,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Choose the line width ppgplot.pgslw(width) # Choose the line color for the contourlines - if type(color) == bytes: + if isstr(color): ppgplot.pgsci(ppgplot_colors_[color]) else: ppgplot.pgsci(color) @@ -549,7 +551,7 @@ def plot2d(z, x=None, y=None, title=None, rangex=None, rangey=None, \ # Label the contours if requested if labels is not None: # Choose the line color for the contourlines - if type(labels) == bytes: + if isstr(labels): ppgplot.pgsci(ppgplot_colors_[labels]) else: ppgplot.pgsci(labels) From a78d01e8c7e1dca9d4c264b231741f77a7857b92 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:27:32 -0400 Subject: [PATCH 077/146] Commit to make pygaussfit.py work in Py2 and Py3 --- bin/pygaussfit.py | 6 +++--- lib/python/mpfit.py | 8 ++++---- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 37b14a8d1..25d1af0e5 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -19,7 +19,7 @@ def __init__(self, ax, profile, errs, profnm, minspanx=None, self.phases = Num.arange(self.proflen, dtype='d')/self.proflen self.errs = errs self.visible = True - self.DCguess = sorted(profile)[len(profile)/10+1] + self.DCguess = sorted(profile)[len(profile) // 10 + 1] self.init_params = [self.DCguess] self.numgaussians = 0 self.canvas = ax.figure.canvas @@ -192,7 +192,7 @@ def gen_gaussians(params, N): FWHM (0-1), and amplitude (>0.0). N is the number of points in the model. """ - numgaussians = (len(params)-1)/3 + numgaussians = (len(params)-1) // 3 model = Num.zeros(N, dtype='d') + params[0] for ii in range(numgaussians): phase, FWHM, amp = params[1+ii*3:4+ii*3] @@ -204,7 +204,7 @@ def fit_function(params, fjac=None, data=None, errs=None): def fit_gaussians(data, initial_params, errs, profnm): numparams = len(initial_params) - numgaussians = (len(initial_params)-1)/3 + numgaussians = (len(initial_params)-1) // 3 # Generate the parameter structure parinfo = [] params0 = [] diff --git a/lib/python/mpfit.py b/lib/python/mpfit.py index 9719f2dcc..c32870a34 100644 --- a/lib/python/mpfit.py +++ b/lib/python/mpfit.py @@ -1356,11 +1356,11 @@ def defiter(self, fcn, x, iter, fnorm=None, functkw=None, nprint = len(x) print("Iter ", ('%6i' % iter)," CHI-SQUARE = ",('%.10g' % fnorm)," DOF = ", ('%i' % dof)) for i in range(nprint): - if (parinfo is not None) and (parinfo[i].has_key('parname')): + if (parinfo is not None) and ('parname' in parinfo[i]): p = ' ' + parinfo[i]['parname'] + ' = ' else: p = ' P' + str(i) + ' = ' - if (parinfo is not None) and (parinfo[i].has_key('mpprint')): + if (parinfo is not None) and ('mpprint' in parinfo[i]): iprint = parinfo[i]['mpprint'] else: iprint = 1 @@ -1395,7 +1395,7 @@ def parinfo(self, parinfo=None, key='a', default=None, n=0): values = [] for i in range(n): - if ((parinfo is not None) and (parinfo[i].has_key(key))): + if ((parinfo is not None) and (key in parinfo[i])): values.append(parinfo[i][key]) else: values.append(default) @@ -2184,7 +2184,7 @@ def tie(self, p, ptied=None): def calc_covar(self, rr, ipvt=None, tol=1.e-14): if (self.debug): print('Entering calc_covar...') - if numpy.rank(rr) != 2: + if rr.ndim != 2: print('ERROR: r must be a two-dimensional matrix') return(-1) s = numpy.shape(rr) From b5008283b939614e1af9789fea6edd439d1ab8ff Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:39:46 -0400 Subject: [PATCH 078/146] presto python tests work in Py2 and Py3 --- tests/test_presto_python.py | 63 +++++++++++++++++++------------------ 1 file changed, 32 insertions(+), 31 deletions(-) diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index 6e1e34ff2..a9fd1f0c1 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -1,41 +1,42 @@ +from __future__ import print_function import numpy as np import presto import os import matplotlib.pyplot as plt -print "Testing FFT stuff...", +print("Testing FFT stuff...", end=' ') N = 20 x = np.random.standard_normal(N) nx = presto.rfft(presto.rfft(x, -1), 1) assert(np.allclose(x, nx, atol=1e-6)) -print "success" +print("success") -print "Testing FFTW call...", +print("Testing FFTW call...", end=' ') cx = np.random.standard_normal(N).astype(np.complex64) ncx = np.array(cx, copy=1) presto.fftwcall(cx, -1) presto.fftwcall(cx, 1) assert(np.allclose(cx/N, ncx, atol=1e-6)) -print "success" +print("success") -print "Testing tablesixstepfft call...", +print("Testing tablesixstepfft call...", end=' ') cx = np.random.standard_normal(N).astype(np.complex64) ncx = np.array(cx, copy=1) presto.tablesixstepfft(cx, -1) presto.tablesixstepfft(cx, 1) assert(np.allclose(cx/N, ncx, atol=1e-6)) -print "success" +print("success") -print "Testing reading infiles...", +print("Testing reading infiles...", end=' ') x = presto.read_inffile("1937_DM71.02_zerodm.inf", verbose=False) assert(x.telescope=="GBT") assert(x.mjd_i==55267) assert(x.dt==8.192e-05) assert(x.numonoff==1) assert(x.analyzer=="sransom") -print "success" +print("success") -print "Testing writing infiles...", +print("Testing writing infiles...", end=' ') x.analyzer="test" x.name="xxx" x.dt=0.125 @@ -46,44 +47,44 @@ assert(y.numonoff==1) assert(y.dt==0.125) os.remove("xxx.inf") -print "success" +print("success") -print "Testing allocation and freeing of memory...", +print("Testing allocation and freeing of memory...", end=' ') for ii in range(1024): a = presto.gen_fvect(1024 * 32768) del a for ii in range(1024): a = presto.gen_cvect(1024 * 16384) del a -print "success" +print("success") -print "Testing psrparams and orbitparams stuff...", +print("Testing psrparams and orbitparams stuff...", end=' ') psr = presto.psrepoch("J0737-3039A", 56000.0, verbose=False) assert(round(psr.dm-48.92, 7)==0) # This needs to change when we start using the actual psrcat.db file -print "\nTODO: fix the precision of the values in the catalog!!" +print("\nTODO: fix the precision of the values in the catalog!!") assert(round(psr.orb.p-8838.72, 7)==0) #assert(round(psr.orb.p-8834.534998272, 7)==0) -print "success" +print("success") -print "Testing spectralpower and spectralphase...", +print("Testing spectralpower and spectralphase...", end=' ') a = np.arange(5.0) + complex(0.0, 1.0) assert(np.allclose(presto.spectralpower(a), np.arange(5.0)**2.0 + 1)) assert(np.allclose(presto.spectralphase(a), np.array([90., 45., 26.56505203, 18.43494797, 14.03624344]))) -print "success" +print("success") -print "Testing vector shifting / rotation...", +print("Testing vector shifting / rotation...", end=' ') a = np.arange(4, dtype=np.float32) presto.frotate(a, 1) assert(np.allclose(a, np.array([1, 2, 3, 0]))) a = np.arange(4, dtype=np.float64) presto.drotate(a, 1) assert(np.allclose(a, np.array([1, 2, 3, 0]))) -print "success" +print("success") -print "Testing orbit integration stuff...", +print("Testing orbit integration stuff...", end=' ') orb = presto.orbitparams() orb.p = 10000.0 orb.e = 0.1 @@ -110,9 +111,9 @@ maxv *= presto.SOL/1000.0 assert(round(minv-Vs_check.min(), 7)==0) assert(round(maxv-Vs_check.max(), 7)==0) -print "success" +print("success") -print "Testing Fourier response generation...", +print("Testing Fourier response generation...", end=' ') numbetween = 16 z = 5.0 w = 40.0 @@ -133,13 +134,13 @@ plt.plot(rs, pz, 'g-') plt.plot(rs, pw, 'r-') plt.show() -assert(rs[nn/2]==0.0) -assert(pr[nn/2]==1.0) -assert(round(pz[nn/2]-0.227675, 6)==0) -assert(round(pw[nn/2]-0.019462, 6)==0) -print "success" +assert(rs[nn//2]==0.0) +assert(pr[nn//2]==1.0) +assert(round(pz[nn//2]-0.227675, 6)==0) +assert(round(pw[nn//2]-0.019462, 6)==0) +print("success") -print "Testing angle functions...", +print("Testing angle functions...", end=' ') dd1 = 15.25 dd2 = presto.dms2rad(*presto.deg2dms(dd1))*presto.RADTODEG assert(round(dd1-dd2, 12)==0) @@ -155,11 +156,11 @@ ang = presto.sphere_ang_diff(10.0*presto.DEGTORAD, 10.0*presto.DEGTORAD, 50.0*presto.DEGTORAD, -10.0*presto.DEGTORAD) assert(round(160334.960*presto.ARCSEC2RAD-ang, 7)==0) -print "success" +print("success") -print "Testing get_baryv (barycenter)...", +print("Testing get_baryv (barycenter)...", end=' ') vavg1 = presto.get_baryv("18:24:32.9520", "-24:52:12.0000", 56421.44222222222222, 214.5386496, obs="GB") vavg2 = -7.2069293455783169e-05 assert(round(vavg1-vavg2, 10)==0) -print "success" +print("success") From 3fc2c42cd1ec03ab664c7526b38ac0640119a2fc Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:45:09 -0400 Subject: [PATCH 079/146] integer division fix --- python/ffdot_example.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/python/ffdot_example.py b/python/ffdot_example.py index 2ffa76b61..aa6380de5 100644 --- a/python/ffdot_example.py +++ b/python/ffdot_example.py @@ -43,12 +43,12 @@ #print "Raw power should be ~%.2e" % theo_max_pow pffdot = pffdot / theo_max_pow pffdot.shape = (np, np) -rs = num.arange(np) * dr - np/2*dr -zs = num.arange(np) * dz - np/2*dz +rs = num.arange(np) * dr - np//2*dr +zs = num.arange(np) * dz - np//2*dz rgx = num.asarray([rs[0], rs[np-1]]) rgy = num.asarray([zs[0], zs[np-1]]) -freqcut = pffdot[np/2, :] -fdotcut = pffdot[:, np/2] +freqcut = pffdot[np//2, :] +fdotcut = pffdot[:, np//2] image='antirainbow' device='ffdot_combined.eps/VCPS' From c36ae925db1d90c79399f2432bf448efac27e300 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:50:48 -0400 Subject: [PATCH 080/146] Fixed jerk_example for Py3 --- python/jerk_example.py | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/python/jerk_example.py b/python/jerk_example.py index 371b2708c..9a1c23837 100644 --- a/python/jerk_example.py +++ b/python/jerk_example.py @@ -1,3 +1,4 @@ +from __future__ import print_function import numpy as num import presto import ppgplot @@ -28,20 +29,20 @@ vol = presto.fdotdot_vol(ft, rint-np/2*dr, dr, np, 0.0-np/2*dz, dz, np, 0.0-np/2*dw, dw, np) -print "First jerk vol took %.3f s" % (time.clock()-a) +print("First jerk vol took %.3f s" % (time.clock()-a)) a = time.clock() vol = presto.fdotdot_vol(ft, rint-np/2*dr, dr, np, 0.0-np/2*dz, dz, np, 0.0-np/2*dw, dw, np) -print "Second jerk vol took %.3f s" % (time.clock()-a) +print("Second jerk vol took %.3f s" % (time.clock()-a)) pvol = presto.spectralpower(vol.flat) theo_max_pow = N**2.0/4.0 frp = max(pvol) / theo_max_pow # Fraction of recovered power -print "Fraction of recovered signal power = %f" % frp +print("Fraction of recovered signal power = %f" % frp) [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+num.random.standard_normal(1)[0]/5.0, z+num.random.standard_normal(1)[0], norm=1.0) -print r, rmax, z, zmax, theo_max_pow, maxpow -# print "Raw power should be ~%.2e" % theo_max_pow +print(r, rmax, z, zmax, theo_max_pow, maxpow) +# print("Raw power should be ~%.2e" % theo_max_pow) pvol = pvol / theo_max_pow pvol.shape = (np, np, np) rs = num.arange(np) * dr - np/2*dr @@ -73,10 +74,10 @@ ppgplot.pgopen(device%ii) ppgplot.pgpap(0.0, 1.0) ppgplot.pgpage() - freqcut = pvol[ii, np/2, :] - fdotcut = pvol[ii, :, np/2] + freqcut = pvol[ii, np//2, :] + fdotcut = pvol[ii, :, np//2] frp = pvol[ii].max() # Fraction of recovered power - print "w = %.3f frac pow recovered = %.3f" % (ws[ii], frp) + print("w = %.3f frac pow recovered = %.3f" % (ws[ii], frp)) # Give z and w values and power change ppgplot.pgsvp(margin+imfract, 1.0-margin/2, margin+imfract, 1.0-margin/2) ppgplot.pgswin(0.0, 1.0, 0.0, 1.0) @@ -132,10 +133,10 @@ if device=="/XWIN": ppgplot.pgclos() else: - print """If you want to make a movie with the resulting .eps files, here are + print("""If you want to make a movie with the resulting .eps files, here are the appropriate commands: > python jerk_example.py > pstoimg -density 200 -antialias -crop a jerk_*eps > ffmpeg -r 16 -f image2 -s 1000x1000 -i jerk_%03d.png -vcodec libx264 -crf 25 -pix_fmt yuv420p jerk_search.mp4 -""" +""") From 74b22e88332b56280ff702673603f0fe480a3c76 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 5 Jun 2018 23:54:03 -0400 Subject: [PATCH 081/146] integer division fix --- bin/downsample_filterbank.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index 33adba3d1..d5b272816 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -45,12 +45,12 @@ # Remove the header length from infilelen and then # determine how many spectra are in the file infilelen -= infile.tell() - numspec = infilelen / nchans + numspec = infilelen // nchans if infilelen % nchans: print("Whoops! File length calculation is not right...") # Now loop over the spectra - for ii in range(numspec / DS_fact): + for ii in range(numspec // DS_fact): try: x = num.fromfile(infile, dtype=num.ubyte, count=DS_fact*nchans) x.shape = (DS_fact, nchans) From 9b8d8d70a146c73889b57f43b3b11fed6f46ff77 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Thu, 28 Jun 2018 11:09:14 -0400 Subject: [PATCH 082/146] Updated Makefile and presto python routines that get copied --- python/Makefile | 6 ++++++ python/presto_src/__init__.py | 4 ++-- python/presto_src/prestoswig.py | 2 +- 3 files changed, 9 insertions(+), 3 deletions(-) diff --git a/python/Makefile b/python/Makefile index 8d408d025..5309c0eb7 100644 --- a/python/Makefile +++ b/python/Makefile @@ -4,6 +4,12 @@ build: cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python python fftfit_src/test_fftfit.py +build3: + python3 setup.py install --home=${PRESTO} + cd fftfit_src ; f2py3 -c fftfit.pyf *.f + cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python + python3 fftfit_src/test_fftfit.py + clean: rm -rf build rm -f *~ *.o *.so *.pyc diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index c329f81d6..5d11cd432 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -60,7 +60,7 @@ def write_inffile(infodata, verbose=True): Write an '.inf' file based on its input structure """ if verbose: - print "Writing .inf file to '%s.inf'"%infodata.name + print("Writing .inf file to '%s.inf'"%infodata.name) writeinf(infodata) def psrepoch(psrname, epoch, verbose=True): @@ -76,7 +76,7 @@ def psrepoch(psrname, epoch, verbose=True): if os.path.isfile(psrname): get_psr_from_parfile("1903+0327.par", epoch, pp) if verbose: - print 'Retrieved data at MJD %f from "%s"' % (epoch, psrname) + print('Retrieved data at MJD %f from "%s"' % (epoch, psrname)) else: num = get_psr_at_epoch(psrname, epoch, pp) if verbose: diff --git a/python/presto_src/prestoswig.py b/python/presto_src/prestoswig.py index ecd58482d..5b844b031 100644 --- a/python/presto_src/prestoswig.py +++ b/python/presto_src/prestoswig.py @@ -92,7 +92,7 @@ def _swig_repr(self): _object = object _newclass = 1 except __builtin__.Exception: - class _object(object) : pass + class _object(object) : pass _newclass = 0 From 5607accc641457e4f94f54140b1b0fc102a002c4 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 24 Jul 2018 16:50:19 -0700 Subject: [PATCH 083/146] single_pulse_search seems to work in both Python 2 and 3 --- bin/single_pulse_search.py | 81 ++++++++++++++++++++++---------------- 1 file changed, 47 insertions(+), 34 deletions(-) diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index a708e9361..cc1fd0d6e 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,10 +1,6 @@ #!/usr/bin/env python from __future__ import print_function -from past.builtins import cmp -from builtins import str -from builtins import zip -from builtins import range -from builtins import object +from builtins import str, zip, range, object import bisect, os, sys, getopt, infodata, glob import scipy, scipy.signal, scipy.stats, ppgplot import numpy as Num @@ -13,6 +9,10 @@ from optparse import OptionParser from Pgplot import * +# This is for Python 2/3 comptibility +def mycmp(a, b): + return ((a > b) - (a < b)) + class candidate(object): def __init__(self, DM, sigma, time, bin, downfact): self.DM = DM @@ -23,13 +23,25 @@ def __init__(self, DM, sigma, time, bin, downfact): def __str__(self): return "%7.2f %7.2f %13.6f %10d %3d\n"%\ (self.DM, self.sigma, self.time, self.bin, self.downfact) + def __eq__(self, other): + return (self.bin == other.bin) + def __ne__(self, other): + return (self.bin != other.bin) + def __lt__(self, other): + return (self.bin < other.bin) + def __le__(self, other): + return (self.bin <= other.bin) + def __gt__(self, other): + return (self.bin > other.bin) + def __ge__(self, other): + return (self.bin >= other.bin) def __cmp__(self, other): # Sort by time (i.e. bin) by default) - return cmp(self.bin, other.bin) + return mycmp(self.bin, other.bin) def cmp_sigma(self, other): #Comparison function to sort candidates by significance - retval = -cmp(self.sigma, other.sigma) + retval = -mycmp(self.sigma, other.sigma) return retval def fft_convolve(fftd_data, fftd_kern, lo, hi): @@ -55,12 +67,12 @@ def make_fftd_kerns(downfacts, fftlen): # These offsets produce kernels that give results # equal to scipy.signal.convolve if downfact % 2: # Odd number - kern[:downfact/2+1] += 1.0 - kern[-(downfact/2):] += 1.0 + kern[:downfact//2+1] += 1.0 + kern[-(downfact//2):] += 1.0 else: # Even number - kern[:downfact/2+1] += 1.0 + kern[:downfact//2+1] += 1.0 if (downfact > 2): - kern[-(downfact/2-1):] += 1.0 + kern[-(downfact//2-1):] += 1.0 # The following normalization preserves the # RMS=1 characteristic of the data fftd_kerns.append(rfft(kern / Num.sqrt(downfact), -1)) @@ -77,7 +89,7 @@ def prune_related1(hibins, hivals, downfact): xbin, xsigma = hibins[ii], hivals[ii] for jj in range(ii+1, len(hibins)): ybin, ysigma = hibins[jj], hivals[jj] - if (abs(ybin-xbin) > downfact/2): + if (abs(ybin-xbin) > downfact//2): break else: if jj in toremove: @@ -106,12 +118,12 @@ def prune_related2(dm_candlist, downfacts): for jj in range(ii+1, len(dm_candlist)): yy = dm_candlist[jj] ybin, ysigma = yy.bin, yy.sigma - if (abs(ybin-xbin) > max(downfacts)/2): + if (abs(ybin-xbin) > max(downfacts)//2): break else: if jj in toremove: continue - prox = max([xx.downfact/2, yy.downfact/2, 1]) + prox = max([xx.downfact//2, yy.downfact//2, 1]) if (abs(ybin-xbin) <= prox): if (xsigma > ysigma): toremove.add(jj) @@ -300,8 +312,8 @@ def main(): if (detrendlen > chunklen): chunklen = detrendlen fftlen = int(next2_to_n(chunklen)) - blocks_per_chunk = chunklen / detrendlen - overlap = (fftlen - chunklen)/2 + blocks_per_chunk = chunklen // detrendlen + overlap = (fftlen - chunklen) // 2 worklen = chunklen + 2*overlap # currently it is fftlen... max_downfact = 30 @@ -362,13 +374,13 @@ def main(): outfile = open(filenmbase+'.singlepulse', mode='w') # Compute the file length in detrendlens - roundN = N/detrendlen * detrendlen - numchunks = roundN / chunklen + roundN = N // detrendlen * detrendlen + numchunks = roundN // chunklen # Read in the file print('Reading "%s"...'%filenm) timeseries = Num.fromfile(filenm, dtype=Num.float32, count=roundN) # Split the timeseries into chunks for detrending - numblocks = roundN/detrendlen + numblocks = roundN // detrendlen timeseries.shape = (numblocks, detrendlen) stds = Num.zeros(numblocks, dtype=Num.float64) # de-trend the data one chunk at a time @@ -377,7 +389,7 @@ def main(): if opts.fast: # use median removal instead of detrending (2x speedup) tmpchunk = chunk.copy() tmpchunk.sort() - med = tmpchunk[detrendlen/2] + med = tmpchunk[detrendlen//2] chunk -= med tmpchunk -= med else: @@ -391,7 +403,7 @@ def main(): # of random gaussian deviates, the measured stdev is ~0.871 # of the true stdev. Thus the 1.0/0.871=1.148 correction below. # The following is roughly .std() since we already removed the median - stds[ii] = Num.sqrt((tmpchunk[detrendlen/40:-detrendlen/40]**2.0).sum() / + stds[ii] = Num.sqrt((tmpchunk[detrendlen//40:-detrendlen//40]**2.0).sum() / (0.95*detrendlen)) stds *= 1.148 # sort the standard deviations and separate those with @@ -400,12 +412,12 @@ def main(): sort_stds.sort() # identify the differences with the larges values (this # will split off the chunks with very low and very high stds - locut = (sort_stds[1:numblocks/2+1] - - sort_stds[:numblocks/2]).argmax() + 1 - hicut = (sort_stds[numblocks/2+1:] - - sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 + locut = (sort_stds[1:numblocks//2+1] - + sort_stds[:numblocks//2]).argmax() + 1 + hicut = (sort_stds[numblocks//2+1:] - + sort_stds[numblocks//2:-1]).argmax() + numblocks//2 - 2 std_stds = scipy.std(sort_stds[locut:hicut]) - median_stds = sort_stds[(locut+hicut)/2] + median_stds = sort_stds[(locut+hicut)//2] print(" pseudo-median block standard deviation = %.2f" % (median_stds)) if (opts.badblocks): lo_std = median_stds - 4.0 * std_stds @@ -468,7 +480,7 @@ def main(): hibins = Num.flatnonzero(goodchunk>opts.threshold) hivals = goodchunk[hibins] hibins += chunknum * chunklen - hiblocks = hibins/detrendlen + hiblocks = hibins // detrendlen # Add the candidates (which are sorted by bin) for bin, val, block in zip(hibins, hivals, hiblocks): if block not in bad_blocks: @@ -494,7 +506,7 @@ def main(): hibins = Num.flatnonzero(goodchunk>opts.threshold) hivals = goodchunk[hibins] hibins += chunknum * chunklen - hiblocks = hibins/detrendlen + hiblocks = hibins // detrendlen hibins = hibins.tolist() hivals = hivals.tolist() # Now walk through the new candidates and remove those @@ -590,7 +602,7 @@ def main(): ppgplot.pgswin(min(DMs)-0.5, max(DMs)+0.5, 0.0, 1.1*max(num_v_DM+[1])) ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, r"DM (pc cm\u-3\d)") ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Number of Pulses") ppgplot.pgsch(1.0) ppgplot.pgbin(DMs, num_v_DM, 1) @@ -600,7 +612,7 @@ def main(): ppgplot.pgswin(min(DMs)-0.5, max(DMs)+0.5, opts.threshold, maxsnr) ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, r"DM (pc cm\u-3\d)") ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-Noise") ppgplot.pgsch(1.0) cand_ts = Num.zeros(len(candlist), dtype=Num.float32) @@ -617,7 +629,7 @@ def main(): ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, r"DM (pc cm\u-3\d)") # Circles are symbols 20-26 in increasing order snr_range = 12.0 cand_symbols = (cand_SNRs-opts.threshold)/snr_range * 6.0 + 20.5 @@ -653,10 +665,10 @@ def main(): instrument = info.instrument ppgplot.pgmtxt('T', -3.7, 0.02, 0.0, 'Instrument: %s'%instrument) if (info.bary): - ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, 'MJD\dbary\u: %.12f'%info.epoch) + ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, r'MJD\dbary\u: %.12f'%info.epoch) else: - ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, 'MJD\dtopo\u: %.12f'%info.epoch) - ppgplot.pgmtxt('T', -3.7, 0.73, 0.0, 'Freq\dctr\u: %.1f MHz'%\ + ppgplot.pgmtxt('T', -3.7, 0.33, 0.0, r'MJD\dtopo\u: %.12f'%info.epoch) + ppgplot.pgmtxt('T', -3.7, 0.73, 0.0, r'Freq\dctr\u: %.1f MHz'%\ ((info.numchan/2-0.5)*info.chan_width+info.lofreq)) ppgplot.pgiden() ppgplot.pgend() @@ -674,4 +686,5 @@ def main(): s = stats.load("hotshot_edi_stats") s.sort_stats("time").print_stats() else: + # print(sys.version) main() From e6357a11a15899da13e1a00093a2df393b37488a Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 24 Jul 2018 17:07:49 -0700 Subject: [PATCH 084/146] First try at fixing comparisons for Python3 --- lib/python/sifting.py | 188 +++++++++++++++++------------------------- 1 file changed, 77 insertions(+), 111 deletions(-) diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 0cc25cfd5..9d5755b2c 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,19 +1,10 @@ #!/usr/bin/env python from __future__ import print_function -from past.builtins import cmp -from builtins import zip -from builtins import str -from builtins import range -from builtins import object -import sys -import re -import os -import copy - -import numpy as Num +from builtins import zip, str, range, object +import sys, re, os, copy +import numpy as np import matplotlib import matplotlib.pyplot as plt - from presto import candidate_sigma # Note: the following are global variables that can @@ -121,7 +112,7 @@ def sigma_to_size(sigmas): sizes: Numpy array of marker sizes. """ # return 8+sigmas**1.7 - return Num.clip(20**(sigmas/6), 5, 400) + return np.clip(20**(sigmas/6), 5, 400) def print_sift_globals(): @@ -146,30 +137,6 @@ def parse_power(pow): return power -def cmp_sigma(self, other): - retval = -cmp(self.sigma, other.sigma) - if retval==0: - return -cmp(self.ipow_det, other.ipow_det) - else: - return retval - - -def cmp_snr(self, other): - retval = -cmp(self.snr, other.snr) - if retval==0: - return -cmp(self.ipow_det, other.ipow_det) - else: - return retval - - -def cmp_dms(self, other): - return cmp(float(self[0]), float(other[0])) - - -def cmp_freq(self, other): - return cmp(self.r, other.r) - - class Candidate(object): def __init__(self, candnum, sigma, numharm, ipow, cpow, bin, z, DMstr, filename, T): @@ -205,10 +172,10 @@ def __str__(self): def harms_to_snr(self): # Remove the average power level - harmamps = Num.asarray(self.harm_pows) - 1.0 + harmamps = np.asarray(self.harm_pows) - 1.0 # Set the S/N to 0.0 for harmonics with "negative" amplitudes harmamps[harmamps < 0.0] = 0.0 - self.snr = Num.sum(Num.sqrt(harmamps)) + self.snr = np.sum(np.sqrt(harmamps)) class Candlist(object): @@ -260,25 +227,25 @@ def plot_summary(self, usefreqs=True): # Get all candidates and sort by sigma allcands = self.get_all_cands() - sigmas = Num.array([c.sigma for c in allcands]) + sigmas = np.array([c.sigma for c in allcands]) isort = sigmas.argsort() sigmas = sigmas[isort] if usefreqs: - xdata = Num.array([c.f for c in allcands])[isort] + xdata = np.array([c.f for c in allcands])[isort] xlabel = "Freq (Hz)" xscale = "log" else: - xdata = Num.array([c.p for c in allcands])[isort] + xdata = np.array([c.p for c in allcands])[isort] xlabel = "Period (s)" xscale = "loglin" - dms = Num.array([c.DM for c in allcands])[isort] - numharms = Num.array([c.numharm for c in allcands])[isort] + dms = np.array([c.DM for c in allcands])[isort] + numharms = np.array([c.numharm for c in allcands])[isort] # Plot the all candidates scatt = plt.scatter(xdata, dms, s=sigma_to_size(sigmas), \ - c=Num.log2(numharms), \ + c=np.log2(numharms), \ marker='o', alpha=0.7, zorder=-1) plt.set_cmap("Spectral") @@ -292,9 +259,9 @@ def plot_summary(self, usefreqs=True): plt.axes(ax) # Set scatter plot's axes as current plt.xscale(xscale) plt.xlabel(xlabel) - mindm = Num.min(dms) - maxdm = Num.max(dms) - dmrange = Num.ptp(dms) + mindm = np.min(dms) + maxdm = np.max(dms) + dmrange = np.ptp(dms) # Use log-scale y-axis if max DM > 2000 yscale = "log" if maxdm > 2000.0 else "linear" @@ -307,10 +274,10 @@ def plot_summary(self, usefreqs=True): plt.ylabel(r"DM (pc cm$^{-3}$)") if not usefreqs: - plt.gca().xaxis.set_ticks(Num.concatenate((\ - Num.logspace(-4,0,4, endpoint=False), \ - Num.linspace(1,15,8)))) - plt.gca().xaxis.set_ticks(Num.logspace(-4,0,40), minor=True) + plt.gca().xaxis.set_ticks(np.concatenate((\ + np.logspace(-4,0,4, endpoint=False), \ + np.linspace(1,15,8)))) + plt.gca().xaxis.set_ticks(np.logspace(-4,0,40), minor=True) plt.gca().xaxis.set_ticklabels([r"10$^{-4}$", r"10$^{-3}$", \ r"10$^{-2}$", r"10$^{-1}$", "1", "3", "5", "7", \ "9", "11", "13", "15"]) @@ -359,18 +326,18 @@ def plot_rejects(self, usefreqs=True): for cands, colour, marker, zorder, size, fixedsize, lw in \ zip(candlists, colours, markers, zorders, sizes, fixedsizes, lws): if len(cands): - sigmas = Num.array([c.sigma for c in cands]) + sigmas = np.array([c.sigma for c in cands]) isort = sigmas.argsort() sigmas = sigmas[isort] if usefreqs: - xdata = Num.array([c.f for c in cands])[isort] + xdata = np.array([c.f for c in cands])[isort] xlabel = "Freq (Hz)" xscale = "log" else: - xdata = Num.array([c.p for c in cands])[isort] + xdata = np.array([c.p for c in cands])[isort] xlabel = "Period (s)" xscale = "loglin" - dms = Num.array([c.DM for c in cands])[isort] + dms = np.array([c.DM for c in cands])[isort] # Plot the candidates if fixedsize: @@ -388,10 +355,10 @@ def plot_rejects(self, usefreqs=True): plt.xscale(xscale) plt.xlabel(xlabel) - alldms = Num.array([c.DM for c in self.get_all_cands()]) - mindm = Num.min(alldms) - maxdm = Num.max(alldms) - dmrange = Num.ptp(alldms) + alldms = np.array([c.DM for c in self.get_all_cands()]) + mindm = np.min(alldms) + maxdm = np.max(alldms) + dmrange = np.ptp(alldms) # Use log-scale y-axis if max DM > 2000 yscale = "log" if maxdm > 2000.0 else "linear" @@ -404,18 +371,18 @@ def plot_rejects(self, usefreqs=True): plt.ylabel(r"DM (pc cm$^{-3}$)") if not usefreqs: - all_xdata = Num.array([c.p for c in self.get_all_cands()]) - plt.gca().xaxis.set_ticks(Num.concatenate((\ - Num.logspace(-4,0,4, endpoint=False), \ - Num.linspace(1,15,8)))) - plt.gca().xaxis.set_ticks(Num.logspace(-4,0,40), minor=True) + all_xdata = np.array([c.p for c in self.get_all_cands()]) + plt.gca().xaxis.set_ticks(np.concatenate((\ + np.logspace(-4,0,4, endpoint=False), \ + np.linspace(1,15,8)))) + plt.gca().xaxis.set_ticks(np.logspace(-4,0,40), minor=True) plt.gca().xaxis.set_ticklabels([r"10$^{-4}$", r"10$^{-3}$", \ r"10$^{-2}$", r"10$^{-1}$", "1", "3", "5", "7", \ "9", "11", "13", "15"]) plt.xlim(max(short_period/5.0, min(all_xdata)/5.0), \ min(long_period+0.5, max(all_xdata)+0.5)) else: - all_xdata = Num.array([c.f for c in self.get_all_cands()]) + all_xdata = np.array([c.f for c in self.get_all_cands()]) plt.xlim(min(all_xdata)/5.0, max(all_xdata)*2.0) return fig @@ -468,9 +435,9 @@ def plot_goodcands(self, usefreqs=True): else: xval = c.p xdata.extend([xval]*len(c.hits)) - sigmas = Num.array(sigmas) - dms = Num.array(dms) - xdata = Num.array(xdata) + sigmas = np.array(sigmas) + dms = np.array(dms) + xdata = np.array(xdata) isort = sigmas.argsort() sigmas = sigmas[isort] @@ -498,16 +465,16 @@ def plot_goodcands(self, usefreqs=True): plt.xscale(xscale) plt.xlabel(xlabel) - mindm = Num.min(dms) - maxdm = Num.max(dms) - dmrange = Num.ptp(dms) + mindm = np.min(dms) + maxdm = np.max(dms) + dmrange = np.ptp(dms) plt.ylim(mindm-0.1*dmrange, maxdm+0.1*dmrange) plt.ylabel(r"DM (pc cm$^{-3}$)") if not usefreqs: - plt.gca().xaxis.set_ticks(Num.concatenate((\ - Num.logspace(-4,0,4, endpoint=False), \ - Num.linspace(1,15,8)))) - plt.gca().xaxis.set_ticks(Num.logspace(-4,0,40), minor=True) + plt.gca().xaxis.set_ticks(np.concatenate((\ + np.logspace(-4,0,4, endpoint=False), \ + np.linspace(1,15,8)))) + plt.gca().xaxis.set_ticks(np.logspace(-4,0,40), minor=True) plt.gca().xaxis.set_ticklabels([r"10$^{-4}$", r"10$^{-3}$", \ r"10$^{-2}$", r"10$^{-1}$", "1", "3", "5", "7", \ "9", "11", "13", "15"]) @@ -603,7 +570,7 @@ def reject_knownbirds(self, known_birds_f=[], known_birds_p=[]): cand = self.cands[ii] known_bird = 0 for bird, err in known_birds_f: - if (Num.fabs(cand.f-bird) < err): + if (np.fabs(cand.f-bird) < err): known_bird = 1 cand.note = "Freq (%.2f Hz) is within %g Hz " \ "of a known birdie centred at %.2f Hz" % \ @@ -613,7 +580,7 @@ def reject_knownbirds(self, known_birds_f=[], known_birds_p=[]): self.mark_as_bad(ii, 'knownbirds') continue for bird, err in known_birds_p: - if (Num.fabs(cand.p*1000.0-bird) < err): + if (np.fabs(cand.p*1000.0-bird) < err): known_bird = 1 cand.note = "Period (%.2f ms) is within %g ms " \ "of a known birdie centred at %.2f ms" % \ @@ -678,7 +645,7 @@ def reject_harmpowcutoff(self, harm_pow_cutoff=None): harm_pow_cutoff = globals()['harm_pow_cutoff'] for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] - maxharm = Num.argmax(cand.harm_pows) + maxharm = np.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] if maxpow < harm_pow_cutoff: cand.note = "All harmonics have power < %g" % harm_pow_cutoff @@ -696,11 +663,11 @@ def reject_rogueharmpow(self): """ for ii in reversed(list(range(len(self.cands)))): cand = self.cands[ii] - maxharm = Num.argmax(cand.harm_pows) + maxharm = np.argmax(cand.harm_pows) maxpow = cand.harm_pows[maxharm] # Sort the harmonics by power - sortedpows = Num.sort(cand.harm_pows) + sortedpows = np.sort(cand.harm_pows) if (cand.numharm >= 8 and maxharm > 4 and \ maxpow > 2*sortedpows[-2]): @@ -750,7 +717,7 @@ def remove_duplicate_candidates(self, verbosity=1): if verbosity >= 1: print(" Sorting the %d candidates by frequency..." % \ self.get_numcands()) - self.cands.sort(cmp_freq) + self.cands.sort(key=lambda cand: cand.r) if verbosity >= 1: print(" Searching for dupes...") ii = 0 @@ -758,17 +725,17 @@ def remove_duplicate_candidates(self, verbosity=1): while ii < self.get_numcands(): jj = ii + 1 if jj < self.get_numcands() and \ - Num.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: + np.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: # Find others that match jj += 1 while jj < self.get_numcands() and \ - Num.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: + np.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: jj += 1 matches = self.cands[ii:jj] - matches.sort(cmp_sigma) + matches.sort(key=lambda cand: cand.sigma, reverse=True) bestindex = self.cands.index(matches[0]) #sigmas = [c.sigma for c in matches] - #bestindex = Num.argmax(sigmas)+ii + #bestindex = np.argmax(sigmas)+ii # flag the duplicates bestcand = self.cands[bestindex] # Add other matching cands as hit of highest-sigma cand @@ -794,7 +761,7 @@ def remove_duplicate_candidates(self, verbosity=1): ii += 1 # No candidates to be added as hits, move on if verbosity >= 1: print("Found %d candidates.\n" % self.get_numcands()) - self.cands.sort(cmp_sigma) + self.cands.sort(key=lambda cand: cand.sigma, reverse=True) def remove_harmonics(self, verbosity=1): """Remove the candidates that are lower significance harmonics @@ -808,7 +775,7 @@ def remove_harmonics(self, verbosity=1): """ # Note: should probably put the harmonics into the fundamental as hits (use sets) numremoved = 0 - self.cands.sort(cmp_sigma) + self.cands.sort(key=lambda cand: cand.sigma, reverse=True) f_err = r_err/self.cands[0].T if verbosity >= 1: print("\nSearching for duplicate harmonics...") @@ -820,11 +787,11 @@ def remove_harmonics(self, verbosity=1): while 1: harmcand = self.cands[jj] if zapj: print("Hey!") - for factor in Num.arange(1.0, 17.0): - if Num.fabs(fundcand.f - harmcand.f*factor) < f_err*factor: + for factor in np.arange(1.0, 17.0): + if np.fabs(fundcand.f - harmcand.f*factor) < f_err*factor: zapj = 1 harmstr = "1/%dth" % factor - elif Num.fabs(fundcand.f - harmcand.f/factor) < f_err/factor: + elif np.fabs(fundcand.f - harmcand.f/factor) < f_err/factor: zapj = 1 if factor==2.0: harmstr = "%dnd" % factor @@ -848,7 +815,7 @@ def remove_harmonics(self, verbosity=1): [2.0, 2.0, 3.0, 3.0, 3.0, \ 4.0, 4.0, 5.0, 5.0, 5.0]): factor = numer/denom - if Num.fabs(fundcand.f-harmcand.f*factor) < f_err*factor: + if np.fabs(fundcand.f-harmcand.f*factor) < f_err*factor: if verbosity >= 2: print("Removing %s:%d (%.2f Hz) because it is " \ "a harmonic (%d/%dth) of %s:%d (%.2f Hz)" % \ @@ -904,14 +871,14 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): # Create a dictionary where the key is the dmstr # and the values are the index dmdict = {} - dms = Num.unique([float(dm) for dm in dmlist]) + dms = np.unique([float(dm) for dm in dmlist]) dmstrs = ['%.2f'%dm for dm in dms] dmdict = dict(list(zip(dmstrs, list(range(len(dms)))))) numremoved = 0 num_toofew = 0 num_toolow = 0 num_gaps = 0 - self.cands.sort(cmp_sigma) + self.cands.sort(key=lambda cand: cand.sigma, reverse=True) for ii in reversed(list(range(len(self.cands)))): currcand = self.cands[ii] # Remove all the candidates without enough DM hits @@ -931,7 +898,7 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): # Remove all the candidates where the max sigma DM is # less than the cutoff DM # Recall - A hit is a 3-tuple: (DM, SNR, sigma) - imax = Num.argmax(Num.array([hit[2] for hit in currcand.hits])) + imax = np.argmax(np.array([hit[2] for hit in currcand.hits])) hitdm, hitsnr, hitsigma = currcand.hits[imax] if float(hitdm) <= low_DM_cutoff: numremoved += 1 @@ -948,8 +915,8 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): # Remove all the candidates where there are no hits at consecutive DMs if len(currcand.hits) > 1: - currcand.hits.sort(cmp_dms) - dm_indices = Num.asarray([dmdict["%.2f"%currcand.hits[jj][0]] + currcand.hits.sort(key=lambda cand: float(cand[0])) + dm_indices = np.asarray([dmdict["%.2f"%currcand.hits[jj][0]] for jj in range(len(currcand.hits))]) min_dmind_diff = min(dm_indices[1:] - dm_indices[:-1]) if min_dmind_diff > 1: @@ -1093,7 +1060,7 @@ def to_file(self, candfilenm=None): for goodcand in self.cands: candfile.write("%s (%d)\n" % (str(goodcand), len(goodcand.hits))) if (len(goodcand.hits) > 1): - goodcand.hits.sort(cmp_dms) + goodcand.hits.sort(key=lambda cand: float(cand[0])) for hit in goodcand.hits: numstars = int(hit[2]/3.0) candfile.write(" DM=%6.2f SNR=%5.2f Sigma=%5.2f "%hit + \ @@ -1155,12 +1122,12 @@ def candlist_from_candfile(filename, trackbad=False, trackdupes=False): candnum = last_goodcandnum + 1 if candnum in candnums: cand = cands[candnums.index(candnum)] - cand.harm_pows = Num.zeros(cand.numharm, dtype=Num.float64) - cand.harm_amps = Num.zeros(cand.numharm, dtype=Num.complex64) + cand.harm_pows = np.zeros(cand.numharm, dtype=np.float64) + cand.harm_amps = np.zeros(cand.numharm, dtype=np.complex64) power = parse_power(split_line[3]) phase = float(split_line[9].split("(")[0]) cand.harm_pows[0] = power - cand.harm_amps[0] = Num.sqrt(power) * Num.exp(phase*1.0j) + cand.harm_amps[0] = np.sqrt(power) * np.exp(phase*1.0j) if (cand.numharm > 1): current_goodcandnum = candnum current_harmnum = 1 @@ -1186,7 +1153,7 @@ def candlist_from_candfile(filename, trackbad=False, trackdupes=False): power = parse_power(line.split()[2]) phase = float(line.split()[8].split("(")[0]) cand.harm_pows[current_harmnum] = power - cand.harm_amps[current_harmnum] = Num.sqrt(power) * Num.exp(phase*1.0j) + cand.harm_amps[current_harmnum] = np.sqrt(power) * np.exp(phase*1.0j) current_harmnum += 1 # Calculate other stats after all harmonics have been read in if (current_harmnum==cand.numharm): @@ -1288,7 +1255,7 @@ def sift_directory(dir, outbasenm): if len(all_accel_cands): all_accel_cands.remove_harmonics() # Note: the candidates will be sorted in _sigma_ order, not _SNR_! - all_accel_cands.cands.sort(cmp_sigma) + all_accel_cands.cands.sort(key=lambda cand: cand.sigma, reverse=True) print("Found %d good candidates" % len(all_accel_cands)) all_accel_cands.to_file(outbasenm+".accelcands") all_accel_cands.write_cand_report(outbasenm+".accelcands.report") @@ -1332,13 +1299,13 @@ def __init__(self, thresh): self.thresh = thresh def transform(self, a): - aa = Num.ma.masked_where(a Date: Tue, 21 Aug 2018 10:30:59 -0400 Subject: [PATCH 085/146] Added SHAO to observatories --- src/misc_utils.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/misc_utils.c b/src/misc_utils.c index f484fd3ca..f67b3953e 100644 --- a/src/misc_utils.c +++ b/src/misc_utils.c @@ -228,8 +228,8 @@ void telescope_to_tempocode(char *inname, char *outname, char *obscode) strcpy(obscode, "FA"); strcpy(outname, "FAST"); } else if (strcmp(scope, "shao") == 0) { - strcpy(obscode, "SH"); - strcpy(outname, "SHAO"); + strcpy(obscode, "SH"); + strcpy(outname, "SHAO"); } else if (strcmp(scope, "wsrt") == 0) { strcpy(obscode, "WT"); strcpy(outname, "WSRT"); From da21b437576f41503572dc772cdf3a61f5ce2fb5 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 21 Aug 2018 17:52:47 -0400 Subject: [PATCH 086/146] Removed accidental commit --- src/misc_utils.c | 3 --- src/polycos.c | 3 --- 2 files changed, 6 deletions(-) diff --git a/src/misc_utils.c b/src/misc_utils.c index f67b3953e..f8a9b1b9c 100644 --- a/src/misc_utils.c +++ b/src/misc_utils.c @@ -227,9 +227,6 @@ void telescope_to_tempocode(char *inname, char *outname, char *obscode) } else if (strcmp(scope, "fast") == 0) { strcpy(obscode, "FA"); strcpy(outname, "FAST"); - } else if (strcmp(scope, "shao") == 0) { - strcpy(obscode, "SH"); - strcpy(outname, "SHAO"); } else if (strcmp(scope, "wsrt") == 0) { strcpy(obscode, "WT"); strcpy(outname, "WSRT"); diff --git a/src/polycos.c b/src/polycos.c index 8419d9de6..57e5fcf31 100644 --- a/src/polycos.c +++ b/src/polycos.c @@ -129,9 +129,6 @@ char *make_polycos(char *parfilenm, infodata * idata, char *polycofilenm) } else if (strcmp(idata->telescope, "GMRT") == 0) { scopechar = 'r'; tracklen = 12; - } else if (strcmp(idata->telescope, "SHAO") == 0) { - scopechar = 's'; - tracklen = 12; } else if (strcmp(idata->telescope, "CHIME") == 0) { scopechar = 'y'; tracklen = 1; From 0033760a1be5293f928181bf86330173048e240b Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 29 Sep 2018 13:25:33 -0400 Subject: [PATCH 087/146] Changes to sifting --- lib/python/sifting.py | 15 +++++++++------ python/ACCEL_sift.py | 3 ++- 2 files changed, 11 insertions(+), 7 deletions(-) diff --git a/lib/python/sifting.py b/lib/python/sifting.py index 9d5755b2c..1dcec088a 100644 --- a/lib/python/sifting.py +++ b/lib/python/sifting.py @@ -1,10 +1,12 @@ #!/usr/bin/env python from __future__ import print_function from builtins import zip, str, range, object +from operator import itemgetter, attrgetter import sys, re, os, copy import numpy as np import matplotlib import matplotlib.pyplot as plt + from presto import candidate_sigma # Note: the following are global variables that can @@ -717,7 +719,7 @@ def remove_duplicate_candidates(self, verbosity=1): if verbosity >= 1: print(" Sorting the %d candidates by frequency..." % \ self.get_numcands()) - self.cands.sort(key=lambda cand: cand.r) + self.cands.sort(key=attrgetter('r')) if verbosity >= 1: print(" Searching for dupes...") ii = 0 @@ -732,7 +734,7 @@ def remove_duplicate_candidates(self, verbosity=1): np.fabs(self.cands[ii].r-self.cands[jj].r) < r_err: jj += 1 matches = self.cands[ii:jj] - matches.sort(key=lambda cand: cand.sigma, reverse=True) + matches.sort(key=attrgetter('sigma'), reverse=True) bestindex = self.cands.index(matches[0]) #sigmas = [c.sigma for c in matches] #bestindex = np.argmax(sigmas)+ii @@ -761,7 +763,7 @@ def remove_duplicate_candidates(self, verbosity=1): ii += 1 # No candidates to be added as hits, move on if verbosity >= 1: print("Found %d candidates.\n" % self.get_numcands()) - self.cands.sort(key=lambda cand: cand.sigma, reverse=True) + self.cands.sort(key=attrgetter('sigma'), reverse=True) def remove_harmonics(self, verbosity=1): """Remove the candidates that are lower significance harmonics @@ -775,7 +777,7 @@ def remove_harmonics(self, verbosity=1): """ # Note: should probably put the harmonics into the fundamental as hits (use sets) numremoved = 0 - self.cands.sort(key=lambda cand: cand.sigma, reverse=True) + self.cands.sort(key=attrgetter('sigma'), reverse=True) f_err = r_err/self.cands[0].T if verbosity >= 1: print("\nSearching for duplicate harmonics...") @@ -878,7 +880,7 @@ def remove_DM_problems(self, numdms, dmlist, low_DM_cutoff, verbosity=1): num_toofew = 0 num_toolow = 0 num_gaps = 0 - self.cands.sort(key=lambda cand: cand.sigma, reverse=True) + self.cands.sort(key=attrgetter('sigma'), reverse=True) for ii in reversed(list(range(len(self.cands)))): currcand = self.cands[ii] # Remove all the candidates without enough DM hits @@ -1255,7 +1257,7 @@ def sift_directory(dir, outbasenm): if len(all_accel_cands): all_accel_cands.remove_harmonics() # Note: the candidates will be sorted in _sigma_ order, not _SNR_! - all_accel_cands.cands.sort(key=lambda cand: cand.sigma, reverse=True) + all_accel_cands.cands.sort(key=attrgetter('sigma'), reverse=True) print("Found %d good candidates" % len(all_accel_cands)) all_accel_cands.to_file(outbasenm+".accelcands") all_accel_cands.write_cand_report(outbasenm+".accelcands.report") @@ -1338,5 +1340,6 @@ def main(): outbasenm = sys.argv[1] sift_directory(os.getcwd(), outbasenm) + if __name__ == '__main__': main() diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index d418b5d69..66a915e10 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,5 +1,6 @@ from builtins import map import sifting, re, glob +from operator import itemgetter, attrgetter # Note: You will almost certainly want to adjust # the following variables for your particular search @@ -73,5 +74,5 @@ # Write candidates to STDOUT if len(cands): - cands.sort(sifting.cmp_sigma) + cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(cands) From daf8d8fc9734783f6614d1e46e79ca2ab14906a4 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 29 Sep 2018 13:36:20 -0400 Subject: [PATCH 088/146] pulsar catalog can be imported --- lib/python/pypsrcat.py | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/lib/python/pypsrcat.py b/lib/python/pypsrcat.py index 37152fb65..ce9768538 100644 --- a/lib/python/pypsrcat.py +++ b/lib/python/pypsrcat.py @@ -1,8 +1,6 @@ from __future__ import print_function -from past.builtins import cmp -from builtins import map -from builtins import object -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py +from builtins import map, object +from operator import attrgetter import struct, os, os.path, presto, psr_utils, math ## The most recent catalogs are available here: @@ -50,7 +48,7 @@ def __init__(self, line): h, m = hms s = 0.0 elif len(hms)==1: - h = hms + h = hms[0] m = s = 0.0 self.ra = psr_utils.hms_to_rad(h, m, s) self.raerr = float(parts[part_index+1]) * psr_utils.SECTORAD @@ -65,13 +63,13 @@ def __init__(self, line): d, m = dms s = 0.0 elif len(dms)==1: - d = dms + d = dms[0] m = s = 0.0 # Fixed silly dec=-0.0 bug - if parts[part_index].split(":")[0]=="-00": - m = -m - s = -s - self.dec = psr_utils.dms_to_rad(d, m, s) + if parts[part_index].split(":")[0]=="-00": + m = -m + s = -s + self.dec = psr_utils.dms_to_rad(d, m, s) self.decerr = float(parts[part_index+1]) * psr_utils.ARCSECTORAD part_index += 1 elif param=="PMRA": @@ -216,8 +214,6 @@ def __init__(self, line): part_index += 1 param_index += 1 self.alias = "" - def __cmp__(self, other): - return cmp(self.jname, other.jname) def __str__(self): out = '' if (self.name): @@ -333,7 +329,7 @@ def pack_structs(self): infile.close() psrs = list(pulsars.values()) -psrs.sort() +psrs.sort(key=attrgetter('jname')) # Now create a new dictionary of pulsars with aliases psr_aliases = {} From 2ee0e6647357293dfba5b004b92096cf363ffae6 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 6 Oct 2018 13:35:57 -0400 Subject: [PATCH 089/146] Updated ATNF reader in several ways (and catalog) --- lib/psr_catalog.txt | 5829 ++++++++++++++++++---------------------- lib/pulsars.cat | Bin 360048 -> 363232 bytes lib/python/pypsrcat.py | 122 +- 3 files changed, 2702 insertions(+), 3249 deletions(-) diff --git a/lib/psr_catalog.txt b/lib/psr_catalog.txt index ab8bbf422..c1d2cc93b 100644 --- a/lib/psr_catalog.txt +++ b/lib/psr_catalog.txt @@ -1,3168 +1,2661 @@ ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -# NAME PSRJ RAJ DECJ PMRA PMDEC PX POSEPOCH Gl Gb P0 P1 F2 F3 PEPOCH DM DM1 S400 S1400 BINARY T0 PB A1 OM ECC TASC EPS1 EPS2 DIST ASSOC SURVEY PSR - (hms) (dms) (mas/yr) (mas/yr) (mas) (MJD) (deg) (deg) (s) (s^-3) (s^-4) (MJD) (cm^-3 pc) (cm^-3 pc/yr) (mJy) (mJy) (type) (MJD) (days) (lt sec) (deg) (MJD) (kpc) TYPE ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -1 J0002+6216 J0002+6216 00:02:58.1 2.0e-02 +62:16:09.4 1.0e-01 * 0 * 0 * 0 55806.00 117.327 -0.074 0.115364 1.4e-12 5.97e-15 7.0e-20 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J0002.6+6218[aaa+15] FermiBlind NRAD -2 J0006+1834 J0006+1834 00:06:04.8 2.0e-01 +18:34:59 4.0e+00 * 0 * 0 * 0 49079.50 108.172 -42.985 0.693748 1.4e-10 2.10e-15 1.2e-17 * 0 * 0 49079.50 11.41 5.5e-01 * 0 0.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.86 * ar4 * -3 J0007+7303 J0007+7303 00:07:01.7 2.0e-01 +73:03:07.4 8.0e-01 * 0 * 0 * 0 54952.00 119.660 10.463 0.315873 3.0e-10 3.60e-13 5.0e-17 4.100e-23 7.0e-24 5.400e-30 9.0e-31 54952.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 GRS:2FGL_J0007.0+7303[naa+12],XRS:RX_J00 FermiBlind NRAD -4 J0011+08 J0011+08 00:11:34 1.1e+02 +08:10 8.0e+00 * 0 * 0 * 0 57022.00 106.228 -53.407 2.552870 0 * 0 * 0 * 0 57022.00 24.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * ar327 * -5 B0011+47 J0014+4746 00:14:17.7 4.0e-02 +47:46:33.4 3.0e-01 19.300 1.8e+00 -19.700 1.5e+00 * 0 49664.00 116.497 -14.631 1.240699 1.1e-11 5.64e-16 1.4e-19 7.300e-28 1.4e-27 * 0 49664.00 30.41 1.3e-02 * 0 14.00 2.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.78 * gb1,gb2,gb3 * - -6 J0023+0923 J0023+0923 00:23:16.8 1.0e-05 +09:23:23.8 3.3e-04 * 0 * 0 0.930 1.6e-01 56567.00 111.383 -52.849 0.003050 7.0e-18 1.14e-20 4.0e-25 * 0 * 0 56567.00 14.33 4.0e-05 * 0 2.00 0 0.48 0 ELL1 * 0 0.1388 5.0e-11 0.0348 7.0e-08 119.05 0.0e+00 8.237e-06 0.0e+00 56567.0261 8.0e-08 7.200e-06 3.1e-06 -4.000e-06 3.2e-06 1.08 GRS:3FGL_J0023.4+0923[aaa+15],OPT:[bvr+1 FermiAssoc HE -7 J0024-7201Z J0024-7201Z 00:24:06.0 2.0e-03 -72:05:01.4 6.0e-03 4.000 2.0e+00 1.000 2.0e+00 * 0 51600.00 305.894 -44.887 0.004554 3.0e-15 -4.54e-21 7.0e-23 8.000e-27 2.5e-26 * 0 51600.00 24.45 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.56 * * * -8 J0024-7204aa J0024-7204aa 00:24:05.6 0 -72:04:52.6 0 * 0 * 0 * 0 57022.00 305.895 -44.889 0.001840 0 * 0 * 0 * 0 57022.00 24.97 7.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.69 GC:47Tuc misc * -9 J0024-7204ab J0024-7204ab 00:24:08.1 5.0e-04 -72:04:47.6 2.0e-03 4.200 6.0e-01 -2.900 5.0e-01 * 0 51600.00 305.891 -44.891 0.003705 6.0e-16 9.82e-21 9.0e-24 -8.000e-27 3.0e-28 * 0 51600.00 24.37 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.54 GC:47Tuc misc * -10 B0021-72C J0024-7204C 00:23:50.3 1.0e-04 -72:04:31.5 4.0e-04 5.200 1.0e-01 -3.100 1.0e-01 * 0 51600.00 305.923 -44.892 0.005757 1.4e-16 -4.99e-20 2.0e-24 1.300e-27 4.0e-28 * 0 51600.00 24.60 4.0e-03 * 0 1.53 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * - -11 B0021-72D J0024-7204D 00:24:13.8 6.0e-05 -72:04:43.8 2.0e-04 4.240 7.0e-02 -2.240 5.0e-02 * 0 51600.00 305.881 -44.893 0.005358 9.0e-17 -3.42e-21 9.0e-25 -1.200e-27 2.0e-28 * 0 51600.00 24.73 3.0e-03 * 0 0.95 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -12 B0021-72E J0024-7204E 00:24:11.1 5.0e-05 -72:05:20.1 2.0e-04 6.150 3.0e-02 -2.350 6.0e-02 * 0 51600.00 305.883 -44.883 0.003536 4.0e-17 9.85e-20 6.0e-25 2.900e-27 2.0e-28 * 0 51600.00 24.24 2.0e-03 * 0 * 0 * 0 DD 51001.7900 8.0e-04 2.2568 9.0e-07 1.9818 4.0e-07 218.60 1.0e-01 3.159e-04 4.0e-07 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -13 B0021-72F J0024-7204F 00:24:03.8 1.0e-04 -72:04:42.8 2.0e-04 4.520 8.0e-02 -2.500 5.0e-02 * 0 51600.00 305.899 -44.892 0.002624 4.0e-17 6.45e-20 7.0e-25 6.800e-27 7.0e-28 * 0 51600.00 24.38 5.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -14 B0021-72G J0024-7204G 00:24:07.9 1.0e-04 -72:04:39.7 5.0e-04 4.500 1.0e-01 -2.900 1.0e-01 * 0 51600.00 305.891 -44.893 0.004040 1.4e-16 -4.22e-20 1.7e-24 6.000e-27 9.0e-28 * 0 51600.00 24.44 4.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -15 B0021-72H J0024-7204H 00:24:06.7 2.0e-04 -72:04:06.8 6.0e-04 5.100 2.0e-01 -2.800 2.0e-01 * 0 51600.00 305.896 -44.902 0.003210 1.1e-16 -1.83e-21 1.1e-24 1.600e-25 2.0e-27 * 0 51600.00 24.37 8.0e-03 * 0 * 0 * 0 DD 51602.1863 7.0e-06 2.3577 1.0e-08 2.1528 2.0e-06 110.60 1.0e-03 7.056e-02 1.0e-06 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * - -16 B0021-72I J0024-7204I 00:24:07.9 2.0e-04 -72:04:39.6 7.0e-04 5.000 2.0e-01 -2.100 2.0e-01 * 0 51600.00 305.892 -44.893 0.003485 1.3e-16 -4.59e-20 3.0e-24 -3.350e-26 9.0e-28 * 0 51600.00 24.43 1.0e-02 * 0 * 0 * 0 ELL1 * 0 0.2298 4.0e-10 0.0384 1.0e-06 * 0 * 0 51600.0024 2.0e-06 0.000e+00 0 0.000e+00 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -17 B0021-72J J0024-7204J 00:23:59.4 1.0e-04 -72:03:58.7 5.0e-04 5.270 6.0e-02 -3.590 9.0e-02 * 0 51600.00 305.909 -44.903 0.002101 5.0e-17 -9.79e-21 9.0e-25 2.000e-26 1.0e-28 * 0 51600.00 24.59 3.0e-03 * 0 * 0 * 0 BTX 51600.1084 6.0e-07 0.1207 1.3e-10 4.0400 0 0.00 0 0.000e+00 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -18 B0021-72L J0024-7204L 00:24:03.7 3.0e-04 -72:04:56.9 2.0e-03 4.400 2.0e-01 -2.400 2.0e-01 * 0 51600.00 305.898 -44.888 0.004346 4.0e-16 -1.22e-19 4.0e-24 -1.300e-27 1.3e-27 * 0 51600.00 24.40 1.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -19 B0021-72M J0024-7204M 00:23:54.4 3.0e-04 -72:05:30.7 2.0e-03 5.000 3.0e-01 -2.000 4.0e-01 * 0 51600.00 305.913 -44.877 0.003677 3.0e-16 -3.84e-20 6.0e-24 7.000e-27 2.0e-27 * 0 51600.00 24.43 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -20 B0021-72N J0024-7204N 00:24:09.1 2.0e-04 -72:04:28.8 7.0e-04 6.300 2.0e-01 -2.800 2.0e-01 * 0 51600.00 305.890 -44.897 0.003054 1.0e-16 -2.19e-20 1.9e-24 -9.000e-27 2.0e-28 * 0 51600.00 24.57 9.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * - -21 J0024-7204O J0024-7204O 00:24:04.6 6.0e-05 -72:04:53.7 2.0e-04 5.010 5.0e-02 -2.580 8.0e-02 * 0 51600.00 305.897 -44.889 0.002643 5.0e-17 3.03e-20 6.0e-25 4.380e-26 5.0e-28 * 0 51600.00 24.36 2.0e-03 * 0 * 0 * 0 BTX 51600.0758 3.0e-07 0.1360 1.0e-10 0.5800 6.0e-03 0.00 0 0.000e+00 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -22 J0024-7204P J0024-7204P 00:24:20 2.9e+01 -72:04:10 6.2e+01 * 0 * 0 * 0 51000.00 305.872 -44.904 0.003643 3.0e-10 6.64e-19 4.0e-20 * 0 * 0 51000.00 24.29 3.0e-02 * 0 * 0 * 0 BT 52912.5481 1.0e-04 0.1472 7.0e-09 0.0380 4.0e-06 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc pksgc * -23 J0024-7204Q J0024-7204Q 00:24:16.4 1.0e-04 -72:04:25.1 6.0e-04 5.200 1.0e-01 -2.600 1.0e-01 * 0 51600.00 305.877 -44.899 0.004033 1.5e-16 3.40e-20 4.0e-24 7.000e-28 1.1e-27 * 0 51600.00 24.27 4.0e-03 * 0 * 0 * 0 ELL1 * 0 1.1891 4.0e-10 1.4622 9.0e-07 129.44 0.0e+00 8.028e-05 0.0e+00 51600.2842 2.0e-07 6.200e-05 1.0e-06 -5.100e-05 2.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[rvh+15] pksgc * -24 J0024-7204R J0024-7204R 00:24:07.5 2.0e-04 -72:04:50.3 5.0e-04 4.800 1.0e-01 -3.300 2.0e-01 * 0 51600.00 305.892 -44.890 0.003480 1.3e-16 1.48e-19 3.0e-24 -8.500e-27 1.5e-27 * 0 51600.00 24.36 7.0e-03 * 0 * 0 * 0 ELL1 * 0 0.0662 6.0e-11 0.0452 3.0e-07 253.30 0.0e+00 1.044e-04 0.0e+00 51600.0030 6.0e-07 -1.000e-04 6.0e-07 -3.000e-05 7.0e-06 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -25 J0024-7204S J0024-7204S 00:24:03.9 1.0e-04 -72:04:42.3 4.0e-04 4.500 1.0e-01 -2.500 1.0e-01 * 0 51600.00 305.898 -44.892 0.002830 8.0e-17 -1.21e-19 9.0e-25 -7.800e-27 8.0e-28 * 0 51600.00 24.38 4.0e-03 * 0 * 0 * 0 ELL1 * 0 1.2017 6.0e-10 0.7663 8.0e-07 13.23 0.0e+00 3.976e-04 0.0e+00 51600.6250 2.0e-07 9.100e-05 3.0e-06 3.870e-04 2.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[rvh+15] pksgc * - -26 J0024-7204T J0024-7204T 00:24:08.5 5.0e-04 -72:04:38.9 3.0e-03 5.100 6.0e-01 -2.600 7.0e-01 * 0 51600.00 305.890 -44.894 0.007588 1.2e-15 2.94e-19 1.2e-23 -3.000e-27 2.0e-28 * 0 51600.00 24.41 2.0e-02 * 0 * 0 * 0 ELL1 * 0 1.1262 1.0e-09 1.3385 5.0e-06 62.47 0.0e+00 4.003e-04 0.0e+00 51600.5693 7.0e-07 3.550e-04 7.0e-06 1.850e-04 7.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[cpf+15] pksgc * -27 J0024-7204U J0024-7204U 00:24:09.8 1.0e-04 -72:03:59.6 4.0e-04 4.600 2.0e-01 -3.800 1.0e-01 * 0 51600.00 305.890 -44.905 0.004343 1.2e-16 9.52e-20 1.7e-24 1.880e-26 6.0e-28 * 0 51600.00 24.34 4.0e-03 * 0 * 0 * 0 ELL1 * 0 0.4291 8.0e-11 0.5269 7.0e-07 348.54 0.0e+00 1.459e-04 0.0e+00 51600.3894 1.0e-07 -2.900e-05 4.0e-06 1.430e-04 2.0e-06 4.69 GC:47Tuc,XRS:[bgh+06],OPT:[cpf+15] pksgc * -28 J0024-7204V J0024-7204V 00:24:05.6 0 -72:04:52.6 0 * 0 * 0 * 0 51000.00 305.895 -44.889 0.004810 7.0e-11 * 0 * 0 * 0 51000.00 24.11 0 * 0 * 0 * 0 BTX 51803.7751 2.0e-06 0.2121 1.6e-09 0.7419 2.0e-05 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc pksgc * -29 J0024-7204W J0024-7204W 00:24:06.0 1.0e-03 -72:04:49.0 2.0e-03 6.100 5.0e-01 -2.600 3.0e-01 0.213 0 50000.00 305.894 -44.890 0.002352 3.0e-16 -8.66e-20 1.2e-24 * 0 * 0 50000.00 24.37 3.0e-03 * 0 * 0 * 0 BTX 51585.3327 2.0e-07 0.1329 5.0e-10 0.2434 2.0e-06 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc,XRS:[bgh+06] pksgc * -30 J0024-7204X J0024-7204X 00:24:22.3 9.0e-05 -72:01:17.4 7.0e-04 5.800 1.0e-01 -3.300 2.0e-01 * 0 54000.00 305.877 -44.952 0.004772 5.0e-17 1.84e-20 7.0e-25 * 0 * 0 54000.00 24.54 5.0e-03 * 0 * 0 * 0 ELL1 * 0 10.9212 1.0e-09 11.9171 9.0e-07 116.57 0.0e+00 4.472e-07 0.0e+00 53278.0247 2.0e-07 4.000e-07 1.0e-07 -2.000e-07 2.0e-08 4.69 GC:47Tuc pksgc * - -31 J0024-7204Y J0024-7204Y 00:24:01.4 1.0e-04 -72:04:41.8 4.0e-04 4.400 1.0e-01 -3.400 1.0e-01 * 0 51600.00 305.903 -44.891 0.002197 5.0e-17 -3.52e-20 1.0e-24 -2.110e-26 9.0e-28 * 0 51600.00 24.47 4.0e-03 * 0 * 0 * 0 ELL1 * 0 0.5219 1.0e-10 0.6686 7.0e-07 270.00 0.0e+00 3.000e-06 0.0e+00 51554.8340 2.0e-07 -3.000e-06 3.0e-07 0.000e+00 2.0e-06 4.69 GC:47Tuc,OPT:[cpf+15] pksgc * -32 J0024-7204Z J0024-7204Z 00:24:05.6 0 -72:04:52.6 0 * 0 * 0 * 0 54100.00 305.895 -44.889 0.004554 0 * 0 * 0 * 0 54100.00 24.47 1.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 GC:47Tuc pksgc * -33 J0026+6320 J0026+6320 00:26:50.5 8.0e-03 +63:20:00.8 5.0e-02 * 0 * 0 * 0 54000.00 120.176 0.593 0.318358 1.0e-12 1.50e-16 6.0e-20 * 0 * 0 54000.00 230.31 0 * 0 * 0 1.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.42 * misc * -34 J0030+0451 J0030+0451 00:30:27.4 3.8e-05 +04:51:39.7 1.3e-03 * 0 * 0 3.080 9.0e-02 55390.00 113.141 -57.611 0.004865 3.0e-16 1.02e-20 1.2e-24 * 0 * 0 55390.00 4.34 7.0e-05 * 0 7.90 2.0e-01 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.32 GRS:2FGL_J0030.4+0450[naa+12] misc HE[btlb00,aaa+09e] -35 J0033+57 J0033+57 00:33 0 +57 0 * 0 * 0 * 0 54100.00 120.410 -5.781 0.315000 0 * 0 * 0 * 0 54100.00 76.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.25 * gb350 * - -36 J0033+61 J0033+61 00:33 0 +61 0 * 0 * 0 * 0 54100.00 120.698 -1.792 0.912000 0 * 0 * 0 * 0 54100.00 37.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * gb350 * -37 J0034-0534 J0034-0534 00:34:21.8 8.0e-05 -05:34:36.7 3.0e-03 7.900 3.0e-01 -9.200 6.0e-01 * 0 50690.00 111.492 -68.069 0.001877 2.0e-16 4.97e-21 1.0e-24 -3.500e-26 3.6e-26 * 0 55000.00 13.77 4.0e-05 * 0 17.00 5.0e+00 0.61 9.0e-02 ELL1 * 0 1.5893 1.4e-10 1.4378 5.0e-07 314.06 0.0e+00 4.314e-06 0.0e+00 48765.5995 5.0e-07 -3.100e-06 7.0e-07 3.000e-06 6.0e-07 1.35 GRS:2FGL_J0034.4-0534[naa+12] pks70 HE[aaa+10b] -38 B0031-07 J0034-0721 00:34:08.8 1.0e-04 -07:21:53.4 2.0e-03 10.370 8.0e-02 -11.130 1.6e-01 0.930 8.0e-02 52275.00 110.420 -69.815 0.942951 1.7e-12 4.08e-16 7.0e-21 2.100e-28 6.0e-29 * 0 46635.00 10.92 6.0e-03 * 0 52.00 1.2e+01 11.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.03 * mol1,pks70 * -39 J0034+69 J0034+69 00:34 3.0e+00 +69:43 1.8e+01 * 0 * 0 * 0 56292.00 121.411 6.896 0.036804 1.6e-07 * 0 * 0 * 0 56292.00 80.00 3.0e-01 * 0 4.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.28 * gbncc * -40 B0037+56 J0040+5716 00:40:32.3 5.9e-03 +57:16:24.9 5.3e-02 * 0 * 0 * 0 49667.00 121.452 -5.567 1.118225 1.3e-12 2.88e-15 1.2e-20 -1.200e-28 1.7e-28 * 0 49667.00 92.51 2.5e-03 * 0 7.50 5.0e-01 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.42 * gb2,gbncc * - -41 J0045-7042 J0045-7042 00:45:25.6 1.7e-01 -70:42:07.1 1.3e+00 * 0 * 0 * 0 52407.00 303.652 -46.418 0.632336 6.0e-11 2.49e-15 3.0e-17 * 0 * 0 52407.00 70.00 3.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -42 J0045-7319 J0045-7319 00:45:35.1 7.0e-02 -73:19:03.0 2.0e-01 * 0 * 0 * 0 49144.00 303.514 -43.804 0.926276 3.0e-11 4.46e-15 9.0e-19 8.200e-25 5.0e-26 * 0 49144.00 105.40 7.0e-01 * 0 1.00 0 0.30 1.0e-01 BT 49169.2136 3.0e-05 51.1695 5.0e-06 174.2576 7.0e-04 115.25 5.0e-04 8.079e-01 3.0e-06 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -43 B0045+33 J0048+3412 00:48:33.9 2.1e-02 +34:12:08.0 3.7e-01 * 0 * 0 * 0 49875.00 122.255 -28.666 1.217094 8.0e-12 2.35e-15 6.0e-20 -1.000e-27 7.0e-28 * 0 49875.00 39.92 1.5e-02 * 0 2.30 3.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * gb2,gb3 * -44 J0050+03 J0050+03 00:50:31 1.1e+02 +03:48 8.0e+00 * 0 * 0 * 0 57022.00 122.485 -59.071 1.366560 0 * 0 * 0 * 0 57022.00 26.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -45 J0051+0423 J0051+0423 00:51:30.1 2.0e-01 +04:22:49 6.0e+00 * 0 * 0 * 0 49800.00 122.962 -58.491 0.354732 1.0e-11 7.00e-18 2.0e-18 * 0 * 0 49800.00 13.90 1.0e-01 * 0 3.00 3.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.25 * gb4 * - -46 J0053+69 J0053+69 00:53 3.0e+00 +69:39 1.8e+01 * 0 * 0 * 0 56292.00 123.069 6.779 0.832938 2.8e-05 * 0 * 0 * 0 56292.00 117.00 2.0e+00 * 0 30.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * gbncc * -47 J0054+66 J0054+66 00:54 0 +66 0 * 0 * 0 * 0 54100.00 123.193 3.130 1.390000 0 * 0 * 0 * 0 54100.00 15.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.90 * gb350 RRAT -48 J0054+69 J0054+69 00:54:28 2.5e+01 +69:26 2.0e+00 * 0 * 0 * 0 * 123.200 6.563 * 0 * 0 * 0 * 0 * 90.30 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.35 * gbncc RRAT -49 B0052+51 J0055+5117 00:55:45.3 9.5e-03 +51:17:24.9 1.0e-01 * 0 * 0 * 0 49664.00 123.621 -11.576 2.115171 4.0e-12 9.54e-15 4.0e-20 7.800e-28 1.4e-28 * 0 49664.00 44.01 2.4e-03 * 0 3.40 4.0e-01 1.50 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.94 * gb2 * -50 B0053+47 J0056+4756 00:56:25.5 1.9e-02 +47:56:10.5 2.3e-01 * 0 * 0 * 0 49872.00 123.796 -14.927 0.472037 7.0e-12 3.33e-15 7.0e-20 -2.700e-26 5.0e-27 * 0 49872.00 18.14 1.3e-03 * 0 3.00 5.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * gb2 * - -51 J0057-7201 J0057-7201 00:57:44.0 4.0e-01 -72:01:19 2.0e+00 * 0 * 0 * 0 51213.00 302.244 -45.098 0.738062 2.0e-10 1.00e-16 8.0e-17 * 0 * 0 51213.00 27.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.48 * misc * -52 J0058+6125 J0058+6125 00:58 0 +61:25 0 * 0 * 0 * 0 54100.00 123.717 -1.445 0.637000 0 * 0 * 0 * 0 54100.00 129.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * gb350 * -53 J0059+50 J0059+50 00:59 2.0e+00 +50:02 1.8e+01 * 0 * 0 * 0 56292.00 124.177 -12.820 0.996009 6.1e-05 * 0 * 0 * 0 56292.00 67.00 2.0e+00 * 0 5.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * gbncc * -54 J0100-7211 J0100-7211 01:00:43.0 1.1e-01 -72:11:33.6 5.0e-01 * 0 * 0 * 0 53032.00 301.930 -44.918 8.020392 9.0e-06 1.88e-11 8.0e-13 * 0 * 0 53032.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC,XRS:CXOU_J010043.1-721134 misc AXP,NRAD -55 J0101-6422 J0101-6422 01:01:11.1 2.0e-04 -64:22:30.1 2.0e-03 10.000 1.0e+00 -12.000 2.0e+00 * 0 55520.00 301.192 -52.720 0.002573 2.0e-16 5.16e-21 3.0e-23 * 0 * 0 55520.00 11.93 1.0e-03 * 0 * 0 0.28 6.0e-02 BT 55162.4012 3.0e-07 1.7876 2.0e-09 1.7010 2.0e-06 * 0 0.000e+00 1.5e-05 * 0 * 0 * 0 1.00 GRS:2FGL_J0101.2-6425[naa+12],XRS:[pb15] FermiAssoc HE - -56 J0102+4839 J0102+4839 01:03 0 +48:00 0 * 0 * 0 * 0 55196.00 124.932 -14.827 0.002960 0 * 0 * 0 * 0 55196.00 53.50 0 * 0 0.50 0 * 0 BT * 0 1.6700 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 GRS:2FGL_J0102.9+4838[naa+12] FermiAssoc HE -57 B0059+65 J0102+6537 01:02:32.9 1.6e-02 +65:37:13.4 1.0e-01 * 0 * 0 * 0 49675.00 124.080 2.773 1.679164 1.2e-11 5.95e-15 9.0e-20 -2.870e-26 6.0e-28 * 0 49675.00 65.85 1.6e-02 * 0 8.50 8.0e-01 1.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * gb1,gb3,gbncc * -58 J0103+54 J0103+54 01:03:37 2.0e+01 +54:02 5.0e+00 * 0 * 0 * 0 56657.00 124.741 -8.796 0.354304 6.0e-06 * 0 * 0 * 0 56657.00 55.60 4.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.01 * gbncc RRAT -59 J0106+4855 J0106+4855 01:06:25.0 1.0e-02 +48:55:51.8 2.0e-01 * 0 * 0 * 0 55225.00 125.465 -13.867 0.083157 6.0e-13 4.28e-16 5.0e-20 * 0 * 0 55225.00 70.87 2.0e-01 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 GRS:2FGL_J0106.5+4854[naa+12] FermiBlind HE -60 J0108-1431 J0108-1431 01:08:08.3 8.8e-05 -14:31:50.1 1.1e-03 75.100 2.3e+00 -152.500 1.7e+00 4.200 1.4e+00 54100.00 140.930 -76.815 0.807565 2.0e-11 7.70e-17 1.2e-19 -8.900e-27 7.7e-27 * 0 50889.00 2.38 1.9e-01 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * pks70 * - -61 B0105+65 J0108+6608 01:08:22.6 4.6e-02 +66:08:34.0 2.9e-01 * 0 * 0 * 0 50011.00 124.646 3.327 1.283660 5.0e-10 1.31e-14 3.0e-18 3.100e-25 5.0e-26 * 0 50011.00 30.55 1.4e-03 * 0 10.00 1.0e+00 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * jb1,gb1,gb2 * -62 B0105+68 J0108+6905 01:08:29.5 2.0e-02 +69:05:52.6 1.1e-01 * 0 * 0 * 0 49875.00 124.461 6.277 1.071118 5.0e-12 4.81e-17 4.0e-20 -7.800e-28 6.3e-28 * 0 49875.00 61.06 3.6e-03 * 0 3.70 4.0e-01 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * gb2,gbncc * -63 J0111-7131 J0111-7131 01:11:28.7 9.0e-02 -71:31:46.8 6.0e-01 * 0 * 0 * 0 52369.00 300.669 -45.510 0.688542 5.0e-11 7.09e-15 4.0e-18 * 0 * 0 52369.00 76.00 3.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -64 J0112+66 J0112+66 01:12 3.0e+00 +66:22 1.8e+01 * 0 * 0 * 0 56292.00 124.994 3.577 4.301240 7.0e-04 * 0 * 0 * 0 56292.00 112.00 3.0e+00 * 0 13.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.42 * gbncc * -65 J0113-7220 J0113-7220 01:13:11.0 3.0e-02 -72:20:32.2 1.5e-01 * 0 * 0 * 0 51212.00 300.615 -44.688 0.325883 1.0e-11 4.86e-15 1.5e-18 * 0 * 0 51212.00 125.49 3.0e-02 * 0 * 0 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * - -66 B0114+58 J0117+5914 01:17:38.6 2.6e-03 +59:14:38.3 2.3e-02 * 0 * 0 * 0 49751.00 126.283 -3.457 0.101439 2.0e-12 5.85e-15 1.7e-20 -3.380e-24 4.0e-26 * 0 49751.00 49.42 5.9e-04 * 0 7.60 6.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.77 XRS:[pb15] gb3,gbncc * -67 J0125+62 J0125+62 01:26 3.0e+00 +62:35 1.8e+01 * 0 * 0 * 0 56292.00 126.899 -0.022 1.708233 9.8e-05 * 0 * 0 * 0 56292.00 118.00 2.0e+00 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * gbncc * -68 J0131-7310 J0131-7310 01:31:28.5 3.0e-02 -73:10:09.3 1.3e-01 * 0 * 0 * 0 52335.00 298.944 -43.648 0.348124 7.0e-12 1.76e-15 7.0e-19 * 0 * 0 52335.00 205.20 7.0e-01 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 59.70 EXGAL:SMC misc * -69 J0133-6957 J0133-6957 01:33:32.4 1.0e-02 -69:57:29.6 3.0e-02 * 0 * 0 * 0 49980.20 297.691 -46.739 0.463474 3.0e-12 1.20e-16 2.0e-19 * 0 * 0 49980.20 22.95 8.0e-03 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.44 * pks70 * -70 J0134-2937 J0134-2937 01:34:18.6 3.0e-04 -29:37:17.0 7.0e-03 13.000 2.0e+00 -11.000 3.0e+00 * 0 54428.00 230.251 -80.250 0.136962 1.4e-14 7.84e-17 3.0e-22 * 0 * 0 54428.00 21.81 6.0e-03 * 0 9.00 0 2.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks70 * - -71 J0136+63 J0136+63 01:36 3.0e+00 +63:42 1.8e+01 * 0 * 0 * 0 56292.00 127.844 1.254 0.717895 2.7e-05 * 0 * 0 * 0 56292.00 286.00 2.0e+00 * 0 3.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.12 * gbncc * -72 J0137+1654 J0137+1654 01:37:23.8 1.0e-02 +16:54:42.1 4.0e-01 * 0 * 0 * 0 52225.00 138.449 -44.571 0.414763 5.0e-13 1.22e-17 3.0e-20 * 0 * 0 52225.00 26.08 2.4e-03 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * ar4 * -73 J0139+5621 J0139+5621 01:39:38.5 2.0e-02 +56:21:36.8 4.0e-01 * 0 * 0 * 0 56000.00 129.609 -5.885 1.775344 1.0e-10 7.91e-14 3.0e-18 * 0 * 0 56000.00 101.84 3.2e-02 * 0 0.70 3.0e-01 0.02 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.41 * misc * -74 B0136+57 J0139+5814 01:39:19.7 1.2e-03 +58:14:31.8 1.7e-02 -19.110 7.0e-02 -16.600 7.0e-02 0.370 4.0e-02 52275.00 129.216 -4.044 0.272451 1.5e-11 1.07e-14 1.2e-19 1.600e-26 2.5e-26 * 0 49289.00 73.81 7.6e-04 * 0 28.00 2.0e+00 4.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 * gb1,gb2,gb3,gb4,gbncc * -75 B0138+59 J0141+6009 01:41:39.9 7.6e-03 +60:09:32.3 6.7e-02 * 0 * 0 * 0 49293.00 129.147 -2.105 1.222949 1.8e-12 3.91e-16 1.4e-20 2.700e-28 1.6e-28 * 0 49293.00 34.93 4.0e-03 * 0 49.00 5.0e+00 4.50 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.30 * misc,gb3,gb4,gbncc * - -76 J0141+63 J0141+63 01:41 2.0e+00 +63:08 8.0e+00 * 0 * 0 * 0 56292.00 128.497 0.798 0.046686 4.9e-07 * 0 * 0 * 0 56292.00 272.60 4.0e-01 * 0 1.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.77 * gbncc * -77 J0146+31 J0146+31 01:46:15 4.0e+01 +31:04 1.0e+01 * 0 * 0 * 0 57022.00 136.532 -30.353 0.938100 0 * 0 * 0 * 0 57022.00 25.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.83 * misc * -78 J0146+6145 J0146+6145 01:46:22.4 1.0e-01 +61:45:02.8 7.0e-01 -4.100 1.0e+00 1.900 1.0e+00 * 0 49031.00 129.384 -0.431 8.688994 4.0e-07 1.99e-12 5.0e-14 * 0 * 0 55762.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 XRS:4U_0142+61 misc AXP,NRAD -79 B0144+59 J0147+5922 01:47:44.6 1.7e-03 +59:22:03.2 1.5e-02 * 0 * 0 * 0 53160.00 130.059 -2.723 0.196321 1.6e-13 2.57e-16 8.0e-21 3.390e-26 1.2e-27 * 0 54011.00 40.11 3.0e-03 * 0 6.60 5.0e-01 2.10 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.58 * gb3 * -80 B0148-06 J0151-0635 01:51:22.7 1.1e-02 -06:35:02.8 4.0e-01 15.000 4.7e+01 -30.000 3.4e+01 * 0 49347.00 160.368 -65.004 1.464665 7.0e-12 4.43e-16 5.0e-20 5.400e-27 4.0e-28 * 0 49347.00 25.66 3.0e-02 * 0 38.00 1.5e+01 1.30 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * mol2,pks70 * - -81 J0152+0948 J0152+0948 01:52:23.7 5.0e-02 +09:48:10 2.0e+00 * 0 * 0 * 0 52858.00 146.812 -50.221 2.746647 1.0e-10 1.70e-15 4.0e-18 * 0 * 0 52858.00 22.88 1.2e-02 * 0 0.91 3.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * ar4 * -82 B0149-16 J0152-1637 01:52:10.8 1.7e-03 -16:37:52.9 4.0e-02 3.100 1.2e+00 -27.000 2.0e+00 * 0 48227.00 179.305 -72.456 0.832742 1.3e-12 1.30e-15 6.0e-21 -4.980e-27 1.2e-28 * 0 48227.00 11.93 4.0e-05 * 0 20.00 4.0e+00 1.50 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * mol2,pks70 * -83 J0156+04 J0156+04 01:56:01 1.1e+02 +04:02 8.0e+00 * 0 * 0 * 0 * 151.975 -55.155 * 0 * 0 * 0 * 0 * 27.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 RRAT[dsm+16] -84 B0153+39 J0156+3949 01:56:55.2 2.1e-01 +39:49:29 4.1e+00 * 0 * 0 * 0 49701.00 136.369 -21.332 1.811561 1.0e-10 1.52e-16 1.0e-18 1.300e-27 3.7e-27 * 0 49701.00 59.83 1.1e-02 * 0 4.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * gb2 * -85 B0154+61 J0157+6212 01:57:49.9 2.0e-02 +62:12:25.9 1.7e-01 * 0 * 0 * 0 49709.00 130.586 0.326 2.351745 7.0e-11 1.89e-13 5.0e-19 -2.190e-26 1.9e-27 * 0 49709.00 30.21 3.0e-02 * 0 6.50 8.0e-01 1.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.39 * jb1,gb3,gbncc * - -86 J0158+21 J0158+21 01:58:29 3.2e+01 +21:08 8.0e+00 * 0 * 0 * 0 55387.00 143.208 -39.084 0.505300 0 * 0 * 0 * 0 55387.00 20.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * ar327 * -87 J0201+7005 J0201+7005 02:01:41.3 7.0e-03 +70:05:18.1 6.0e-02 * 0 * 0 * 0 56777.00 128.889 8.033 1.349184 1.0e-11 5.51e-15 1.5e-18 * 0 * 0 56777.00 21.03 2.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.17 * gbncc RRAT -88 J0205+6449 J0205+6449 02:05:37.9 1.5e-04 +64:49:41.3 1.0e-03 -1.400 1.6e-01 0.540 1.6e-01 * 0 55487.00 130.719 3.084 0.065716 9.0e-14 1.94e-13 4.0e-21 5.852e-21 5.0e-26 * 0 54114.46 140.70 3.0e-01 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.20 SNR:PWN:3C58,GRS:2FGL_J0205.8+6448[naa+1 misc HE -89 B0203-40 J0206-4028 02:06:01.2 9.0e-03 -40:28:04.3 1.4e-01 -10.000 2.5e+01 75.000 3.5e+01 * 0 46902.00 258.595 -69.633 0.630550 6.0e-12 1.20e-15 5.0e-19 * 0 * 0 46800.00 12.90 1.2e+00 * 0 11.00 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.26 * mol2,pks70 * -90 J0211-8159 J0211-8159 02:11:59.0 3.0e-01 -81:59:36.2 3.0e-01 * 0 * 0 * 0 49525.14 299.592 -34.606 1.077333 8.0e-10 2.90e-16 2.0e-17 * 0 * 0 49525.14 24.36 3.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * pks70 * - -91 J0212+5222 J0212+5222 02:12:52.2 6.0e-01 +52:22:45 1.3e+01 * 0 * 0 * 0 56375.00 135.332 -8.521 0.376386 1.0e-09 6.60e-15 3.0e-16 * 0 * 0 56375.00 38.24 4.5e-04 * 0 4.10 0 0.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.56 * htru_eff,gbncc * -92 J0214+5222 J0214+5222 02:14:55.2 3.4e-03 +52:22:40.9 1.9e-01 * 0 * 0 * 0 55974.00 135.632 -8.423 0.024575 2.2e-13 2.99e-19 1.0e-20 * 0 * 0 55974.00 22.04 3.4e-03 * 0 0.90 0 * 0 BT 56126.6100 1.0e-02 512.0397 3.0e-04 174.5658 2.0e-04 210.59 1.0e-02 5.328e-03 5.0e-07 * 0 * 0 * 0 1.16 * gbncc * -93 J0215+6218 J0215+6218 02:15:56.6 9.5e-03 +62:18:33.3 9.8e-02 * 0 * 0 * 0 51341.00 132.575 1.030 0.548880 3.0e-12 6.62e-16 3.0e-20 3.200e-26 6.0e-27 * 0 51341.00 84.00 5.0e-02 * 0 14.50 0 3.70 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * misc,gbncc * -94 J0218+4232 J0218+4232 02:18:06.3 4.0e-06 +42:32:17.3 8.0e-05 5.350 5.0e-02 -3.740 1.2e-01 0.160 9.0e-02 55849.10 139.508 -17.527 0.002323 8.0e-17 7.74e-20 7.0e-25 2.800e-26 8.8e-26 * 0 55000.00 61.25 5.0e-03 * 0 35.00 5.0e+00 0.90 2.0e-01 ELL1 * 0 2.0288 9.0e-11 1.9844 4.0e-07 48.58 0.0e+00 6.801e-06 0.0e+00 49150.6089 3.0e-07 5.100e-06 4.0e-07 4.500e-06 4.0e-07 3.15 GRS:2FGL_J0218.1+4233[naa+12] misc,gbncc HE[khvb98,aaa+09f] -95 J0220+36 J0220+36 02:20:50 6.0e+01 +36:22 1.5e+01 * 0 * 0 * 0 57022.00 142.376 -23.107 1.029700 0 * 0 * 0 * 0 57022.00 40.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.25 * misc * - -96 J0229+20 J0229+20 02:29:03 3.2e+01 +20:58 8.0e+00 * 0 * 0 * 0 55388.00 151.579 -36.417 0.806900 0 * 0 * 0 * 0 55388.00 27.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.09 * ar327 * -97 B0226+70 J0231+7026 02:31:13.9 2.6e-02 +70:26:33.8 1.7e-01 * 0 * 0 * 0 49692.00 131.155 9.181 1.466820 7.0e-12 3.11e-15 7.0e-20 1.900e-28 4.4e-28 * 0 49692.00 46.68 1.6e-03 * 0 2.40 2.0e-01 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.76 * gb2,gbncc * -98 J0241+16 J0241+16 02:41:46 3.1e+01 +16:04 8.0e+00 * 0 * 0 * 0 55668.00 157.964 -39.185 1.545400 0 * 0 * 0 * 0 55668.00 16.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.94 * ar327 * -99 J0242+62 J0242+62 02:42:35 3.0e+00 +62:56:50 3.6e+01 * 0 * 0 * 0 54100.00 135.187 2.751 0.592000 0 * 0 * 0 * 0 54100.00 4.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.22 * gb350 * -100 J0243+6027 J0243+6027 02:43 0 +60:27 0 * 0 * 0 * 0 54100.00 136.271 0.500 1.473000 0 * 0 * 0 * 0 54100.00 141.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.72 * gb350 * - -101 J0244+14 J0244+14 02:44:51 3.1e+01 +14:27 8.0e+00 * 0 * 0 * 0 56160.00 159.914 -40.140 2.128100 0 * 0 * 0 * 0 56160.00 31.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.80 * ar327 * -102 J0248+6021 J0248+6021 02:48:18.6 1.0e-03 +60:21:34.7 1.0e-02 48.000 1.0e+01 48.000 4.0e+00 * 0 54000.00 136.903 0.697 0.217094 5.0e-06 5.51e-14 5.0e-17 * 0 * 0 54000.00 370.00 1.0e+00 * 0 * 0 13.70 2.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 GRS:2FGL_J0248.1+6021[naa+12] misc HE[tpc+11] -103 J0251+26 J0251+26 02:51:08 6.7e+01 +26:05 1.5e+01 * 0 * 0 * 0 57022.00 153.912 -29.492 0.002540 0 * 0 * 0 * 0 57022.00 20.00 0 * 0 * 0 * 0 BT * 0 0.2040 0 0.0660 0 * 0 * 0 * 0 * 0 * 0 1.15 GRS:3FGL_J0251.1+2603[cck+16] FermiAssoc * -104 B0254-53 J0255-5304 02:55:56.2 8.0e-03 -53:04:21.3 8.0e-02 0.000 2.0e+01 70.000 1.5e+01 * 0 46916.00 269.862 -55.310 0.447708 3.0e-12 3.06e-17 3.0e-19 * 0 * 0 46800.00 15.90 5.0e-01 * 0 17.00 0 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.51 * mol1,mol2,pks70,ghrss * -105 J0303+22 J0303+22 03:03:00 6.0e+01 +22:48 1.5e+01 * 0 * 0 * 0 57022.00 158.585 -30.813 1.207000 0 * 0 * 0 * 0 57022.00 20.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * misc * - -106 B0301+19 J0304+1932 03:04:33.1 1.6e-02 +19:32:51.4 8.0e-01 6.000 7.0e+00 -37.000 4.0e+00 * 0 49289.00 161.135 -33.270 1.387584 3.0e-12 1.30e-15 2.0e-20 -2.450e-27 1.7e-28 * 0 49289.00 15.66 3.5e-04 * 0 27.00 3.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.74 * misc,mol2,gb4 * -107 J0308+74 J0308+74 03:08 0 +74:00 0 * 0 * 0 * 0 55196.00 132.090 13.608 0.003160 0 * 0 * 0 * 0 55196.00 6.35 0 * 0 0.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 GRS:2FGL_J0308.3+7442[naa+12] FermiAssoc HE -108 B0320+39 J0323+3944 03:23:26.6 1.2e-02 +39:44:52.9 3.0e-01 16.000 6.0e+00 -30.000 5.0e+00 * 0 49290.00 152.180 -14.338 3.032072 1.0e-11 6.36e-16 7.0e-20 6.700e-29 1.1e-28 * 0 49290.00 26.19 9.3e-04 * 0 34.00 7.0e+00 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.20 * gb1,gb2,gb4,gbncc * -109 J0324+5239 J0324+5239 03:24:55.4 4.0e-02 +52:39:31.3 2.0e-01 * 0 * 0 * 0 56100.00 145.094 -3.480 0.336620 3.0e-12 3.81e-16 3.0e-18 * 0 * 0 56100.00 115.46 2.9e-03 * 0 * 0 0.19 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.29 * htru_eff * -110 J0325+67 J0325+67 03:26 3.0e+00 +67:49 1.8e+01 * 0 * 0 * 0 56292.00 136.750 9.193 1.364741 6.2e-05 * 0 * 0 * 0 56292.00 65.00 2.0e+00 * 0 26.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * gbncc * - -111 J0329+1654 J0329+1654 03:29:08.5 3.0e-02 +16:54:02 2.0e+00 * 0 * 0 * 0 52225.00 168.499 -31.683 0.893320 1.0e-12 2.15e-16 6.0e-20 * 0 * 0 52225.00 40.82 3.6e-02 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.56 * ar4 * -112 B0329+54 J0332+5434 03:32:59.3 5.0e-03 +54:34:43.5 7.0e-02 17.000 3.0e-01 -9.500 4.0e-01 0.940 1.1e-01 46473.00 144.995 -1.221 0.714520 4.0e-12 2.05e-15 8.0e-21 5.300e-28 1.5e-28 * 0 46473.00 26.76 1.0e-04 * 0 1500.00 2.0e+02 203.00 5.7e+01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * misc,jb1,gb1,gb2,gb3,gb4 * -113 J0332+79 J0332+79 03:32:45 2.0e+01 +79:10 5.0e+00 * 0 * 0 * 0 56657.00 130.309 18.683 2.056210 6.0e-05 * 0 * 0 * 0 56657.00 16.67 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * gbncc RRAT -114 B0331+45 J0335+4555 03:35:16.6 1.4e-03 +45:55:53.4 2.5e-02 * 0 * 0 * 0 49912.00 150.348 -8.038 0.269201 1.3e-13 7.35e-18 1.0e-21 -3.700e-28 2.9e-28 * 0 49912.00 47.15 2.9e-04 * 0 6.00 2.0e+00 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.54 * gb2 * -115 J0337+1715 J0337+1715 03:37:43.8 1.3e-04 +17:15:14.8 2.0e-03 * 0 * 0 * 0 55920.00 169.990 -30.039 0.002733 9.0e-14 1.77e-20 9.0e-24 * 0 * 0 55920.00 21.32 3.0e-04 * 0 * 0 * 0 ELL1 * 0 1.6294 5.0e-09 1.2175 4.0e-08 97.62 0.0e+00 6.918e-04 0.0e+00 55920.4077 1.7e-08 6.857e-04 2.0e-08 -9.171e-05 2.0e-08 1.30 OPT:[rsa+14],XRS:[ska+16] gb350 * - -116 J0338+66 J0338+66 03:39 3.0e+00 +66:44 1.8e+01 * 0 * 0 * 0 56292.00 138.422 9.044 1.762000 1.5e-04 * 0 * 0 * 0 56292.00 67.00 2.0e+00 * 0 10.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * gbncc * -117 J0340+4130 J0340+4130 03:40:23.2 1.1e-05 +41:30:45.2 2.8e-04 * 0 * 0 0.700 5.0e-01 56675.00 153.783 -11.022 0.003299 1.7e-17 7.05e-21 1.2e-24 * 0 * 0 56675.00 49.59 1.6e-03 * 0 2.00 0 0.31 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.60 GRS:2FGL_J0340.4+4131[naa+12] FermiAssoc HE -118 J0341+5711 J0341+5711 03:41 0 +57:11 0 * 0 * 0 * 0 54100.00 144.371 1.546 1.888000 0 * 0 * 0 * 0 54100.00 100.00 0 * 0 364.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.03 * gb350,gbncc * -119 J0343-3000 J0343-3000 03:43:27.9 3.0e-02 -30:00:27.5 4.0e-01 * 0 * 0 * 0 52950.00 227.758 -52.338 2.597027 9.0e-11 5.70e-17 9.0e-18 * 0 * 0 52950.00 20.20 3.0e-01 * 0 * 0 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * pkshl * -120 B0339+53 J0343+5312 03:43:12.9 4.1e-02 +53:12:53.4 6.3e-01 * 0 * 0 * 0 49309.00 147.017 -1.428 1.934478 1.5e-11 1.34e-14 1.5e-19 -1.800e-27 6.0e-28 * 0 49309.00 67.30 6.0e-02 * 0 3.70 6.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.71 * gb1,gb2 * - -121 J0348+0432 J0348+0432 03:48:43.6 4.0e-06 +04:32:11.4 2.0e-04 4.040 1.6e-01 3.500 6.0e-01 * 0 56000.00 183.337 -36.774 0.039123 7.0e-16 2.41e-19 5.0e-23 * 0 * 0 56000.00 40.46 1.1e-04 -0.001 1.4e-04 * 0 * 0 ELL1 * 0 0.1024 7.0e-12 0.1410 7.0e-08 53.62 0.0e+00 2.360e-06 0.0e+00 56000.0848 1.1e-08 1.900e-06 1.0e-06 1.400e-06 1.0e-06 2.10 * gb350 * -122 J0357+3205 J0357+3205 03:57:52.5 2.0e-01 +32:05:25 6.0e+00 117.000 2.0e+01 115.000 2.0e+01 * 0 54946.00 162.760 -16.006 0.444104 6.0e-10 1.30e-14 2.0e-17 * 0 * 0 54946.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.83 GRS:2FGL_J0357.8+3205[naa+12] FermiBlind NRAD -123 B0353+52 J0357+5236 03:57:44.8 1.5e-03 +52:36:57.7 2.5e-02 * 0 * 0 * 0 49912.00 149.099 -0.522 0.197030 3.0e-13 4.77e-16 3.0e-21 1.030e-26 1.2e-27 * 0 49912.00 103.71 4.0e-03 * 0 12.00 2.0e+00 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.03 * gb2,gbncc * -124 J0358+42 J0358+42 03:58 1.0e+00 +42:06 9.0e+00 * 0 * 0 * 0 56292.00 155.987 -8.492 0.226478 5.0e-06 * 0 * 0 * 0 56292.00 46.00 1.0e+00 * 0 5.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 * gbncc * -125 B0355+54 J0358+5413 03:58:53.7 2.0e-04 +54:13:13.7 3.0e-03 9.300 5.0e-01 8.300 8.0e-01 0.910 1.6e-01 54096.00 148.190 0.811 0.156384 8.0e-12 4.39e-15 5.0e-20 4.100e-25 9.0e-27 * 0 54096.00 57.14 3.0e-04 * 0 46.00 7.0e+00 23.00 7.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 XRS:PWN[mvk+06] misc,jb1,gb1,gb2,gb3,gb4,gbncc HE[to07] - -126 J0358+66 J0358+66 03:58 3.0e+00 +66:40 1.8e+01 * 0 * 0 * 0 56292.00 139.944 10.176 0.091507 6.3e-07 * 0 * 0 * 0 56292.00 62.30 4.0e-01 * 0 5.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.89 * gbncc * -127 J0359+5414 J0359+5414 03:59:26.0 2.0e-02 +54:14:55.7 3.0e-01 * 0 * 0 * 0 55716.00 148.231 0.883 0.079427 1.3e-12 1.67e-14 7.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J0359.5+5413[aaa+15] FermiBlind NRAD -128 B0403-76 J0401-7608 04:01:51.6 7.0e-02 -76:08:13.8 3.0e-01 * 0 * 0 * 0 46902.00 290.313 -35.907 0.545253 1.6e-11 1.54e-15 1.2e-18 * 0 * 0 46800.00 21.70 1.0e-01 * 0 19.00 0 14.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * mol2,pks70 * -129 B0402+61 J0406+6138 04:06:30.0 3.0e-03 +61:38:41.0 3.0e-02 * 0 * 0 * 0 53784.00 144.025 7.046 0.594576 8.0e-13 5.57e-15 3.0e-20 * 0 * 0 53784.00 65.41 3.4e-03 * 0 15.00 1.0e+00 2.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * gb1,gb2,gb3,gb4 * -130 J0407+1607 J0407+1607 04:07:54.9 3.0e-03 +16:07:16.4 2.0e-01 * 0 * 0 * 0 52799.00 176.618 -25.656 0.025702 2.0e-14 7.90e-20 3.0e-21 * 0 * 0 52799.00 35.65 2.0e-02 * 0 10.20 0 * 0 BT 52774.6900 3.0e-02 669.0704 1.0e-04 106.4503 2.0e-05 291.74 2.0e-02 9.368e-04 6.0e-07 * 0 * 0 * 0 1.34 * ar4 * - -131 J0408+551 J0408+551 04:08 0 +55 0 * 0 * 0 * 0 54100.00 148.663 2.267 1.837000 0 * 0 * 0 * 0 54100.00 55.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * gb350 * -132 J0408+552 J0408+552 04:08 0 +55 0 * 0 * 0 * 0 54100.00 148.663 2.267 0.754000 0 * 0 * 0 * 0 54100.00 64.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * gb350 * -133 J0410-31 J0410-31 04:10:39 3.3e+01 -31:07:29 4.2e+02 * 0 * 0 * 0 55196.00 230.586 -46.671 1.878500 2.0e-04 * 0 * 0 * 0 55196.00 9.20 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 * htru_pks RRAT -134 J0413+58 J0413+58 04:13 0 +58 0 * 0 * 0 * 0 54100.00 147.122 4.934 0.687000 0 * 0 * 0 * 0 54100.00 57.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * gb350 * -135 B0410+69 J0415+6954 04:15:55.6 3.4e-03 +69:54:09.8 2.5e-02 * 0 * 0 * 0 49874.00 138.911 13.667 0.390715 3.0e-13 7.66e-17 3.0e-21 1.800e-27 4.0e-28 * 0 49874.00 27.45 3.8e-04 * 0 6.40 3.0e-01 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * gb2,gb4,gbncc * - -136 J0417+35 J0417+35 04:17:43 1.6e+01 +35:45 5.0e+00 * 0 * 0 * 0 49717.00 163.219 -10.518 0.654400 3.0e-05 * 0 * 0 * 0 49717.00 48.53 1.2e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 * ar4 * -137 J0417+61 J0417+61 04:17 3.0e+00 +61:08 1.8e+01 * 0 * 0 * 0 56292.00 145.299 7.540 0.440283 1.3e-05 * 0 * 0 * 0 56292.00 71.00 2.0e+00 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.85 * gbncc * -138 J0418-4154 J0418-4154 04:18:04.2 2.0e-01 -41:54:10.8 6.0e-01 * 0 * 0 * 0 57055.00 246.260 -45.681 0.757119 6.0e-11 9.74e-16 6.0e-17 * 0 * 0 57055.00 24.54 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.57 * ghrss * -139 J0418+5732 J0418+5732 04:18:33.8 4.3e-02 +57:32:22.9 3.5e-01 * 0 * 0 * 0 55045.00 147.979 5.119 9.078388 5.0e-08 4.10e-15 1.0e-16 * 0 * 0 54993.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_0418+5729 misc AXP,NRAD -140 J0419+44 J0419+44 04:19 0 +44 0 * 0 * 0 * 0 54100.00 157.525 -4.494 1.241000 0 * 0 * 0 * 0 54100.00 71.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.69 * gb350 * - -141 J0420-5022 J0420-5022 04:20:01.9 4.0e-02 -50:22:48.1 6.0e-01 * 0 * 0 * 0 55430.60 258.136 -44.386 3.453004 1.2e-08 2.76e-14 1.0e-16 * 0 * 0 55430.60 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J0420.0-5022[hmp98],OPT:[kkvh11] misc XINS,NRAD -142 J0421-0345 J0421-0345 04:21:33.5 1.5e-02 -03:45:06.6 6.0e-01 * 0 * 0 * 0 50847.00 197.504 -34.757 2.161308 1.5e-11 1.16e-15 1.5e-19 1.900e-27 1.0e-27 * 0 50847.00 44.61 9.0e-02 * 0 6.00 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * pks70 * -143 J0421+32 J0421+32 04:21:30 6.0e+01 +32:40 1.5e+01 * 0 * 0 * 0 57022.00 166.027 -12.111 0.900500 0 * 0 * 0 * 0 57022.00 75.00 1.5e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * misc * -144 J0426+4933 J0426+4933 04:26:06.8 1.0e-03 +49:33:38.4 4.0e-02 * 0 * 0 * 0 56100.00 154.436 0.288 0.922475 2.0e-12 3.93e-14 2.0e-19 * 0 * 0 56100.00 85.00 0 * 0 * 0 0.19 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * gb350,htru_eff * -145 J0435+2749 J0435+2749 04:35:51.8 4.0e-03 +27:49:01.7 4.0e-01 * 0 * 0 * 0 53400.00 171.842 -13.071 0.326279 1.4e-12 8.17e-18 1.1e-19 * 0 * 0 53400.00 53.19 2.0e-02 * 0 2.00 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * ar4 * - -146 J0437-4715 J0437-4715 04:37:15.8 6.0e-07 -47:15:09.1 7.0e-06 121.439 2.0e-03 -71.475 2.0e-03 6.370 9.0e-02 54500.00 253.394 -41.963 0.005757 1.7e-17 5.73e-20 1.7e-25 * 0 * 0 54500.00 2.64 7.0e-05 * 0 550.00 1.0e+02 149.00 3.6e+01 T2 54501.4671 3.0e-04 5.7410 4.0e-07 3.3667 5.0e-08 1.36 1.7e-02 1.918e-05 1.5e-09 * 0 * 0 * 0 0.16 OPT:[bbm+95],GRS:2FGL_J0437.3-4712[naa+1 pks70,pkshl HE[bt93,aaa+09f] -147 J0447-04 J0447-04 04:47 1.0e+00 -04:35 1.8e+01 * 0 * 0 * 0 56657.00 202.072 -29.657 2.188190 2.0e-05 * 0 * 0 * 0 56657.00 29.83 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.67 * gb350 RRAT -148 J0448-2749 J0448-2749 04:48:41.5 5.4e-03 -27:49:46.7 1.1e-01 * 0 * 0 * 0 51009.00 228.347 -37.918 0.450448 1.7e-12 1.48e-16 1.9e-20 -1.800e-28 4.0e-27 * 0 51009.00 26.22 4.0e-02 * 0 2.00 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.81 * pks70,pkshl * -149 J0449-7031 J0449-7031 04:49:05.6 5.0e-02 -70:31:31.7 3.0e-01 * 0 * 0 * 0 52465.00 282.286 -35.512 0.479164 1.4e-11 3.37e-15 4.0e-18 * 0 * 0 52465.00 65.83 7.0e-02 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -150 B0447-12 J0450-1248 04:50:08.7 3.0e-03 -12:48:07.1 9.0e-02 * 0 * 0 * 0 49338.00 211.075 -32.629 0.438014 8.0e-13 1.03e-16 6.0e-21 -9.300e-28 5.0e-28 * 0 49338.00 37.04 1.0e-02 * 0 11.00 1.0e+00 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.77 * mol2,pks70 * - -151 J0451-67 J0451-67 04:51:50 7.0e+01 -67:18 7.0e+00 * 0 * 0 * 0 52817.00 278.410 -36.290 0.245454 7.0e-08 0.00e+00 2.0e-15 * 0 * 0 52817.00 45.00 1.0e+00 * 0 * 0 0.05 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -152 B0450-18 J0452-1759 04:52:34.1 1.0e-04 -17:59:23.3 2.0e-03 8.900 2.2e+00 10.600 1.9e+00 0.600 1.4e+00 52275.00 217.078 -34.087 0.548939 3.0e-12 5.75e-15 1.6e-20 3.400e-27 9.0e-28 * 0 49289.00 39.90 3.0e-03 * 0 82.00 1.0e+01 5.30 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * mol1,mol2,pks70 * -153 J0453+1559 J0453+1559 04:53:45.4 5.0e-05 +15:59:21.3 5.9e-03 -5.500 5.0e-01 -6.000 4.2e+00 * 0 56400.00 184.125 -17.137 0.045782 3.3e-15 1.86e-19 8.0e-23 * 0 * 0 56400.00 30.31 3.0e-04 * 0 * 0 * 0 DDH 56344.0032 9.0e-07 4.0725 4.0e-09 14.4668 4.2e-06 223.07 8.0e-05 1.125e-01 8.0e-08 * 0 * 0 * 0 0.52 * ar327 * -154 B0450+55 J0454+5543 04:54:07.7 1.0e-04 +55:43:41.4 2.0e-03 53.340 6.0e-02 -17.560 1.4e-01 0.840 5.0e-02 52275.00 152.617 7.547 0.340729 1.0e-11 2.37e-15 7.0e-20 -1.790e-25 1.4e-26 * 0 49910.00 14.59 1.5e-04 * 0 59.00 9.0e+00 13.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.18 * gb1,gb2,gb4,gbncc * -155 B0456-69 J0455-6951 04:55:47.5 8.0e-02 -69:51:34.3 6.0e-01 * 0 * 0 * 0 48757.00 281.290 -35.187 0.320423 1.2e-11 1.02e-14 1.5e-18 * 0 * 0 48757.00 94.89 1.4e-01 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -156 J0456-69 J0456-69 04:56:30 0 -69:10 0 * 0 * 0 * 0 52038.00 280.457 -35.334 0.117073 1.5e-08 * 0 * 0 * 0 52038.00 103.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -157 J0456-7031 J0456-7031 04:56:02.5 3.0e-01 -70:31:06.6 1.2e+00 * 0 * 0 * 0 52560.00 282.049 -34.966 0.800132 1.0e-10 3.67e-14 3.0e-17 * 0 * 0 52560.00 100.30 3.0e-01 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -158 J0457+23 J0457+23 04:57:06 7.0e+00 +23:34:00 1.0e+02 * 0 * 0 * 0 56160.00 178.305 -12.005 0.504900 0 * 0 * 0 * 0 56160.00 59.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * ar327 * -159 J0457-6337 J0457-6337 04:57:07.7 8.0e-02 -63:37:30.4 9.0e-01 * 0 * 0 * 0 52465.00 273.816 -36.701 2.497012 1.9e-10 2.10e-16 3.0e-17 * 0 * 0 52465.00 27.50 1.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * misc * -160 J0457-69 J0457-69 04:57:02 0 -69:46 0 * 0 * 0 * 0 55383.00 281.143 -35.113 0.231390 7.3e-08 * 0 * 0 * 0 55383.00 91.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -161 J0458-0505 J0458-0505 04:58:37.1 2.6e-02 -05:05:05.1 4.0e+00 * 0 * 0 * 0 55178.00 204.139 -27.348 1.883480 1.8e-10 5.30e-16 1.5e-16 * 0 * 0 55178.00 47.81 3.2e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.94 * gb350 * -162 J0458-67 J0458-67 04:58:59 0 -67:43 0 * 0 * 0 * 0 51810.00 278.670 -35.518 1.133900 1.8e-06 * 0 * 0 * 0 51810.00 97.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -163 J0459-0210 J0459-0210 04:59:51.9 6.7e-03 -02:10:06.6 2.1e-01 * 0 * 0 * 0 50845.00 201.444 -25.678 1.133076 6.0e-12 1.40e-15 6.0e-20 -1.900e-27 1.3e-27 * 0 50845.00 21.02 3.0e-02 * 0 11.00 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 * pks70 * -164 J0501+4516 J0501+4516 05:01:06.7 1.0e-02 +45:16:33.9 1.1e-01 * 0 * 0 * 0 54750.00 161.547 1.949 5.762097 4.0e-08 5.82e-12 3.0e-14 6.900e-21 3.0e-22 * 0 54750.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 SNR:G160.9+2.6,OPT:[dml+11] misc AXP,NRAD -165 B0458+46 J0502+4654 05:02:04.5 4.0e-03 +46:54:06.0 9.0e-02 -8.000 3.0e+00 8.000 5.0e+00 * 0 48717.00 160.363 3.077 0.638565 3.0e-12 5.58e-15 1.7e-20 1.130e-26 5.0e-28 * 0 48717.00 41.83 2.0e-02 * 0 10.80 7.0e-01 2.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * gb1,gb3,gbncc * - -166 B0502-66 J0502-6617 05:02:50.5 1.0e-01 -66:17:58.8 9.0e-01 * 0 * 0 * 0 48771.00 276.869 -35.504 0.691251 4.0e-11 2.31e-14 6.0e-18 * 0 * 0 48771.00 68.90 3.0e-01 * 0 1.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -167 J0509+08 J0509+08 05:09:24 7.0e+00 +08:57:00 1.0e+02 * 0 * 0 * 0 56401.00 192.482 -17.919 0.004100 0 * 0 * 0 * 0 56401.00 38.00 0 * 0 5.00 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 * ar327 * -168 J0510+38 J0510+38 05:09:59 4.0e+01 +38:12 8.0e+00 * 0 * 0 * 0 56292.00 168.184 -1.009 0.076564 4.4e-07 * 0 * 0 * 0 56292.00 69.00 1.0e+00 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.56 * gbncc * -169 J0511-6508 J0511-6508 05:11:56.5 2.0e-02 -65:08:36.5 3.0e-01 * 0 * 0 * 0 52409.00 275.250 -34.827 0.322062 8.0e-12 2.06e-16 4.0e-18 * 0 * 0 52409.00 25.66 8.0e-02 * 0 * 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.82 * misc * -170 J0514-4002A J0514-4002A 05:14:06.6 2.0e-04 -40:02:48.8 2.0e-03 * 0 * 0 * 0 53623.16 244.514 -35.036 0.004991 3.0e-15 1.17e-21 1.3e-22 * 0 * 0 53623.16 52.15 6.0e-04 * 0 0.28 6.0e-02 * 0 BT 53623.1551 4.0e-07 18.7852 4.0e-08 36.2966 9.0e-06 82.27 1.8e-05 8.880e-01 3.0e-07 * 0 * 0 * 0 13.20 GC:NGC1851 misc * - -171 J0514-4407 J0514-4407 05:14:51.8 1.0e-01 -44:07:06.5 8.4e+00 * 0 * 0 * 0 56657.00 249.484 -35.364 0.302200 0 * 0 * 0 * 0 56657.00 15.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.99 * ghrss * -172 J0517+2212 J0517+2212 05:17:17.1 2.0e-03 +22:12:51.9 2.0e-01 * 0 * 0 * 0 53400.00 182.176 -9.012 0.222367 7.0e-13 1.16e-17 1.5e-21 * 0 * 0 53400.00 18.70 1.4e-02 * 0 7.00 0 0.46 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 * ar4 * -173 J0519+44 J0519+44 05:19 0 +44 0 * 0 * 0 * 0 54100.00 164.464 3.754 0.515000 0 * 0 * 0 * 0 54100.00 52.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * gb350 * -174 J0519+54 J0519+54 05:20 2.0e+00 +54:25 1.8e+01 * 0 * 0 * 0 56292.00 155.893 9.768 0.340194 1.2e-05 * 0 * 0 * 0 56292.00 43.00 1.0e+00 * 0 3.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.45 * gbncc * -175 J0519-6932 J0519-6932 05:19:46.9 1.2e-02 -69:32:23.4 7.0e-02 * 0 * 0 * 0 52466.00 280.287 -33.254 0.263212 3.0e-12 6.97e-16 5.0e-19 * 0 * 0 52466.00 119.40 5.0e-01 * 0 * 0 0.32 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -176 J0520-2553 J0520-2553 05:20:36.1 3.4e-03 -25:53:12.2 1.1e-01 * 0 * 0 * 0 51216.00 228.434 -30.543 0.241642 7.0e-13 3.01e-17 9.0e-21 4.900e-28 6.0e-27 * 0 51216.00 33.77 3.0e-02 * 0 8.00 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 * pks70,pkshl * -177 J0521-68 J0521-68 05:21:44 0 -68:35 0 * 0 * 0 * 0 51871.00 279.124 -33.262 0.433421 3.0e-07 * 0 * 0 * 0 51871.00 136.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -178 J0522-6847 J0522-6847 05:22:23.0 8.0e-02 -68:47:02.2 3.0e-01 * 0 * 0 * 0 52503.00 279.348 -33.168 0.674532 3.0e-11 1.77e-14 1.4e-17 * 0 * 0 52503.00 126.45 7.0e-02 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -179 B0523+11 J0525+1115 05:25:56.4 1.1e-03 +11:15:19.0 7.0e-02 30.000 7.0e+00 -4.000 5.0e+00 * 0 48262.00 192.695 -13.246 0.354438 1.3e-13 7.36e-17 6.0e-22 -3.300e-28 7.0e-29 * 0 48262.00 79.42 1.3e-02 * 0 19.50 9.0e-01 1.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.84 * mol2,gb4 * -180 J0525-6607 J0525-6607 05:26:00.9 1.0e-01 -66:04:36.3 6.0e-01 * 0 * 0 * 0 52153.00 276.087 -33.246 8.047000 2.0e-04 6.50e-11 5.0e-12 * 0 * 0 52153.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_0526-66,SNR:N49(?)[ekl+80] misc AXP,NRAD - -181 B0525+21 J0528+2200 05:28:52.2 9.0e-03 +22:00:04 2.0e+00 -20.000 1.9e+01 7.000 9.0e+00 * 0 53100.00 183.856 -6.896 3.745539 3.0e-11 4.01e-14 1.5e-18 * 0 * 0 54200.00 50.87 1.3e-03 * 0 57.00 5.0e+00 9.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 * gb1,gb3,gb4 * -182 B0529-66 J0529-6652 05:29:50.9 1.3e-01 -66:52:38.2 9.0e-01 * 0 * 0 * 0 48739.00 276.974 -32.763 0.975725 6.0e-11 1.55e-14 6.0e-18 * 0 * 0 48739.00 103.20 3.0e-01 * 0 * 0 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -183 J0532-6639 J0532-6639 05:32:59.5 6.0e-02 -66:39:37.3 5.0e-01 * 0 * 0 * 0 52462.00 276.675 -32.481 0.642743 3.0e-11 5.35e-15 1.3e-17 * 0 * 0 52462.00 69.30 1.8e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -184 J0532-69 J0532-69 05:32:04 0 -69:46 0 * 0 * 0 * 0 55420.00 280.333 -32.163 1.149196 1.4e-06 * 0 * 0 * 0 55420.00 124.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -185 J0533+0402 J0533+0402 05:33:25.8 1.0e-02 +04:02:00.5 4.0e-01 * 0 * 0 * 0 49800.00 200.084 -15.326 0.963018 2.0e-11 1.60e-16 1.0e-18 * 0 * 0 49800.00 83.70 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * gb4 * - -186 J0533+67 J0533+67 05:33 0 +67 0 * 0 * 0 * 0 55561.00 145.652 17.640 0.004390 0 * 0 * 0 * 0 55561.00 57.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.28 GRS:2FGL_J0533.9+6759 FermiAssoc * -187 B0531+21 J0534+2200 05:34:31.9 5.0e-03 +22:00:52.0 6.0e-02 -14.700 8.0e-01 2.000 8.0e-01 * 0 40706.00 184.558 -5.784 0.033392 1.2e-09 4.21e-13 3.0e-18 1.115e-20 5.0e-24 -2.730e-30 4.0e-32 48442.50 56.77 2.4e-04 * 0 550.00 1.0e+02 14.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 SNR:PWN:Crab[ccl+69],GRS:2FGL_J0534.5+22 misc,ar4,gb4 HE[cdt69,fhm+69,hjm+70] -188 J0534-6703 J0534-6703 05:34:36.1 1.0e-01 -67:03:48.8 8.0e-01 * 0 * 0 * 0 52410.00 277.129 -32.279 1.817565 1.7e-10 4.25e-13 6.0e-17 * 0 * 0 52410.00 94.70 1.2e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -189 J0535-66 J0535-66 05:35:40 0 -66:52 0 * 0 * 0 * 0 51393.00 276.884 -32.197 0.210524 3.0e-08 * 0 * 0 * 0 51393.00 75.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -190 J0535-6935 J0535-6935 05:35 2.0e+00 -69:35 7.0e+00 * 0 * 0 * 0 52200.00 280.076 -31.936 0.200511 2.0e-08 1.15e-14 3.0e-16 * 0 * 0 52200.00 93.70 4.0e-01 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -191 B0538-75 J0536-7543 05:36:30.7 8.0e-02 -75:43:56.7 2.0e-01 * 0 * 0 * 0 46972.00 287.162 -30.821 1.245856 5.0e-11 5.65e-16 3.0e-18 * 0 * 0 48409.00 18.58 2.0e-02 * 0 75.00 0 13.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.14 * mol2,pks70 * -192 J0537-69 J0537-69 05:37:43 0 -69:21 0 * 0 * 0 * 0 55420.00 279.768 -31.730 0.112613 2.0e-08 * 0 * 0 * 0 55420.00 273.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -193 J0537-6910 J0537-6910 05:37:47.4 1.1e-01 -69:10:19.8 6.0e-01 * 0 * 0 * 0 52061.33 279.559 -31.745 0.016122 4.0e-13 5.18e-14 1.1e-20 6.100e-21 3.0e-22 * 0 52061.33 * 0 * 0 * 0 0.00 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC,SNR:N157B misc NRAD -194 J0538+2817 J0538+2817 05:38:25.0 1.0e-04 +28:17:09.1 2.0e-03 -23.570 1.0e-01 52.870 1.0e-01 0.720 1.2e-01 52275.00 179.719 -1.686 0.143158 1.1e-13 3.67e-15 1.3e-21 -6.370e-25 2.0e-27 * 0 51086.00 39.57 1.0e-03 0.008 1.0e-03 8.20 2.0e-01 1.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.30 SNR:S147[acj+96] ar4,gb4 HE[mkz+03] -195 J0540+3207 J0540+3207 05:40:37.1 1.0e-03 +32:07:37.3 1.0e-01 * 0 * 0 * 0 54780.00 176.719 0.761 0.524271 5.0e-13 4.48e-16 2.0e-20 * 0 * 0 54780.00 61.97 4.0e-02 * 0 * 0 0.34 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * palfa * - -196 B0540-69 J0540-6919 05:40:11.2 9.0e-03 -69:19:54.1 5.0e-02 * 0 * 0 * 0 51722.00 279.717 -31.516 0.050570 1.8e-12 4.79e-13 3.0e-19 3.772e-21 5.0e-24 * 0 52910.00 146.50 2.0e-01 * 0 0.00 7.0e-04 0.02 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC,SNR:0540-693 misc HE[mp85] -197 J0540-7125 J0540-7125 05:40:30.8 3.0e-01 -71:25:31.4 5.0e-01 * 0 * 0 * 0 49527.17 282.148 -31.236 1.286015 3.0e-09 8.20e-16 8.0e-17 * 0 * 0 49527.17 29.41 7.0e-02 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.55 * pks70 * -198 J0542-68 J0542-68 05:42:35 0 -68:16 0 * 0 * 0 * 0 51975.00 278.449 -31.406 0.425189 7.2e-07 * 0 * 0 * 0 51975.00 114.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -199 B0540+23 J0543+2329 05:43:09.6 1.1e-02 +23:29:05 5.0e+00 19.000 7.0e+00 12.000 8.0e+00 * 0 48892.00 184.363 -3.318 0.245975 1.9e-12 1.54e-14 1.9e-20 2.420e-25 3.0e-27 * 0 48892.00 77.70 1.0e-03 * 0 29.00 1.0e+00 9.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.56 XRS:[pb15] jb1,gb1,ar4,gb4 * -200 J0543-6851 J0543-6851 05:43:52.7 1.1e-01 -68:51:25.3 9.0e-01 * 0 * 0 * 0 52410.00 279.125 -31.235 0.708954 6.0e-11 3.94e-15 3.0e-17 * 0 * 0 52410.00 131.00 4.0e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * - -201 J0544+20 J0544+20 05:44:12 1.2e+02 +20:50 8.0e+00 * 0 * 0 * 0 * 186.756 -4.495 * 0 * 0 * 0 * 0 * 56.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.28 * ar327 RRAT[dsm+16] -202 J0545-03 J0545-03 05:45 2.0e+00 -03:10 3.6e+01 * 0 * 0 * 0 56657.00 208.094 -16.213 1.073930 2.0e-05 * 0 * 0 * 0 56657.00 67.20 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.06 * gb350 RRAT -203 J0546+2441 J0546+2441 05:46:28.7 3.0e-02 +24:41:21 6.0e+00 * 0 * 0 * 0 52914.00 183.728 -2.045 2.843850 6.0e-11 7.65e-15 3.0e-17 * 0 * 0 52914.00 73.81 3.0e-02 * 0 2.65 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * ar4 * -204 J0550+09 J0550+09 05:50:28 1.1e+02 +09:51 8.0e+00 * 0 * 0 * 0 57022.00 197.055 -8.774 1.745000 0 * 0 * 0 * 0 57022.00 86.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * ar327 RRAT[dsm+16] -205 J0554+3107 J0554+3107 05:54:05.0 3.0e-02 +31:07:41 4.0e+00 * 0 * 0 * 0 55214.00 179.058 2.697 0.464961 1.6e-11 1.43e-13 1.1e-18 1.800e-24 2.0e-25 * 0 55214.00 * 0 * 0 * 0 0.00 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SNR:G179.0+2.6(?)[pga+13] FermiBlind NRAD - -206 J0555+3948 J0555+3948 05:55 5.0e+00 +39:48 5.0e+00 * 0 * 0 * 0 56375.00 171.610 7.192 1.146906 2.0e-07 * 0 * 0 * 0 56375.00 37.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * htru_eff * -207 J0555-7056 J0555-7056 05:55:01.8 1.2e-01 -70:56:45.6 6.0e-01 * 0 * 0 * 0 52408.00 281.460 -30.119 0.827838 7.0e-11 5.96e-15 3.0e-17 * 0 * 0 52408.00 73.40 1.6e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 49.70 EXGAL:LMC misc * -208 J0557+1550 J0557+1550 05:57:31.4 9.0e-05 +15:50:06.0 8.0e-03 * 0 * 0 * 0 56346.00 192.684 -4.309 0.002556 6.0e-16 7.35e-21 2.0e-23 * 0 * 0 56346.00 102.57 5.0e-04 * 0 * 0 0.05 6.0e-03 ELL1 * 0 4.8466 4.0e-09 4.0545 8.0e-07 90.55 0.0e+00 9.300e-06 0.0e+00 56349.2459 2.0e-07 9.300e-06 4.0e-07 -9.000e-08 6.0e-08 1.83 * palfa * -209 B0559-57 J0600-5756 06:00:46.5 3.0e-01 -57:56:54 3.0e+00 * 0 * 0 * 0 43557.36 266.492 -29.343 2.261365 3.0e-09 2.78e-15 9.0e-17 * 0 * 0 43557.36 30.00 8.0e+00 * 0 2.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.55 * mol2,pks70 * -210 B0559-05 J0601-0527 06:01:58.9 1.2e-03 -05:27:50.5 4.0e-02 18.000 8.0e+00 -16.000 7.0e+00 * 0 49379.00 212.199 -13.481 0.395969 5.0e-13 1.30e-15 5.0e-21 2.420e-26 5.0e-28 * 0 49379.00 80.54 5.0e-03 * 0 22.70 9.0e-01 2.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * mol2,pks70 * - -211 J0605+37 J0605+37 06:05 0 +37 0 * 0 * 0 * 0 55561.00 175.037 7.549 0.002730 0 * 0 * 0 * 0 55561.00 21.00 0 * 0 * 0 * 0 BT * 0 55.6000 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 GRS:2FGL_J0605.3+3758 FermiAssoc * -212 J0608+00 J0608+00 06:08:49 3.0e+01 +00:39 8.0e+00 * 0 * 0 * 0 56033.00 207.445 -9.171 1.076200 0 * 0 * 0 * 0 56033.00 48.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.29 * ar327 * -213 J0609+2130 J0609+2130 06:09:58.8 2.0e-04 +21:30:02.8 9.0e-02 * 0 * 0 * 0 52758.00 189.192 1.040 0.055698 2.0e-14 2.35e-19 2.0e-21 * 0 * 0 52758.00 38.73 2.0e-02 * 0 0.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * ar4 * -214 J0610-2100 J0610-2100 06:10:13.5 1.7e-05 -21:00:27.9 4.0e-04 9.210 6.0e-02 16.730 8.0e-02 * 0 55000.00 227.747 -18.184 0.003861 6.0e-16 1.24e-20 6.0e-23 * 0 * 0 55000.00 60.67 1.7e-03 * 0 * 0 0.40 2.0e-01 ELL1 * 0 0.2860 6.0e-10 0.0735 4.0e-07 66.04 0.0e+00 2.955e-05 0.0e+00 52814.2496 3.0e-06 2.700e-05 8.0e-06 1.200e-05 8.0e-06 3.26 GRS:2FGL_J0610.3-2059[naa+12] pkshl HE[egc+13] -215 J0610+37 J0610+37 06:11 2.0e+00 +37:18 1.8e+01 * 0 * 0 * 0 56292.00 175.336 8.746 0.443861 1.4e-05 * 0 * 0 * 0 56292.00 39.00 2.0e+00 * 0 1.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.07 * gbncc * - -216 J0611+04 J0611+04 06:11:18 1.1e+02 +04:06 8.0e+00 * 0 * 0 * 0 57022.00 204.655 -7.012 1.674430 0 * 0 * 0 * 0 57022.00 69.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * ar327 * -217 J0611+1436 J0611+1436 06:11:18.6 1.3e-02 +14:36:52 4.0e+00 * 0 * 0 * 0 55818.00 195.378 -2.004 0.270329 3.0e-11 4.00e-15 3.0e-18 * 0 * 0 55818.00 45.70 7.0e-01 * 0 * 0 1.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 * palfa * -218 J0611+30 J0611+30 06:11:16 2.3e+01 +30:16 5.0e+00 * 0 * 0 * 0 49717.00 181.624 5.496 1.412090 3.0e-06 * 0 * 0 * 0 49717.00 45.26 1.6e-03 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * misc * -219 B0609+37 J0612+3721 06:12:48.6 1.5e-03 +37:21:37.3 1.1e-01 * 0 * 0 * 0 49679.00 175.450 9.093 0.297982 1.8e-13 5.95e-17 1.8e-21 -1.650e-26 4.0e-28 * 0 49679.00 27.15 3.4e-04 * 0 16.00 1.0e+00 4.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.53 * gb3,gbncc * -220 J0613-0200 J0613-0200 06:13:43.9 3.7e-06 -02:00:47.2 1.4e-04 * 0 * 0 0.930 2.0e-01 55413.00 210.413 -9.305 0.003062 9.0e-18 9.59e-21 1.5e-25 * 0 * 0 55413.00 38.78 6.0e-05 * 0 21.00 2.0e+00 2.30 3.0e-01 ELL1 * 0 1.1985 1.4e-11 1.0914 1.0e-06 35.08 0.0e+00 4.350e-06 0.0e+00 55412.5433 1.3e-08 2.500e-06 4.0e-07 3.560e-06 1.1e-07 0.78 GRS:2FGL_J0613.8-0200[naa+12] pks70 HE - -221 J0613+3731 J0613+3731 06:13:12.1 1.1e-02 +37:31:38.3 9.0e-01 * 0 * 0 * 0 56000.00 175.336 9.239 0.619198 7.0e-11 3.24e-15 2.0e-18 * 0 * 0 56000.00 18.99 1.2e-02 * 0 1.60 8.0e-01 0.13 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 * misc * -222 B0611+22 J0614+2229 06:14:17.1 3.0e-02 +22:30:36 1.7e+01 -4.000 5.0e+00 -3.000 7.0e+00 * 0 49674.00 188.785 2.400 0.334960 1.6e-10 5.94e-14 1.2e-18 6.680e-24 2.0e-25 * 0 49674.00 96.91 4.0e-02 * 0 29.00 1.0e+00 2.20 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.74 * jb1,gb1,gb3,gb4 * -223 J0614-3329 J0614-3329 06:14:10.3 3.0e-04 -33:29:54.1 4.0e-03 0.580 9.0e-02 -1.920 1.2e-01 1.100 1.1e+00 55100.00 240.501 -21.827 0.003149 9.0e-15 1.75e-20 7.0e-22 * 0 * 0 55100.00 37.05 1.0e-03 * 0 * 0 * 0 BT 55146.8210 7.0e-03 53.5846 8.0e-07 27.6388 2.0e-06 15.92 4.0e-02 1.801e-04 1.0e-07 * 0 * 0 * 0 0.62 GRS:2FGL_J0614.1-3329[naa+12] FermiAssoc HE -224 J0614+83 J0614+83 06:14 1.0e+01 +83:14 1.8e+01 * 0 * 0 * 0 56292.00 130.353 25.833 1.039203 5.1e-05 * 0 * 0 * 0 56292.00 44.00 1.0e+00 * 0 1.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.66 * gbncc * -225 J0621+0336 J0621+0336 06:21:11.2 5.0e-03 +03:36:45.5 1.0e-01 * 0 * 0 * 0 54236.00 206.246 -5.058 0.269954 9.0e-13 7.24e-18 6.0e-20 * 0 * 0 54236.00 72.59 1.3e-01 * 0 * 0 1.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.70 * pkspa * - -226 J0621+1002 J0621+1002 06:21:22.1 3.0e-05 +10:02:38.7 1.5e-03 3.230 1.2e-01 -0.500 5.0e-01 * 0 55000.00 200.570 -2.013 0.028854 1.6e-15 4.73e-20 5.0e-23 * 0 * 0 55000.00 36.47 3.0e-02 -0.009 3.0e-04 * 0 1.90 3.0e-01 DD 49746.8668 1.9e-04 8.3187 3.0e-07 12.0321 4.0e-07 188.77 9.0e-03 2.457e-03 7.0e-08 * 0 * 0 * 0 0.42 * misc,palfa * -227 J0621+25 J0621+25 06:21 0 +25 0 * 0 * 0 * 0 55561.00 187.309 4.928 0.002720 0 * 0 * 0 * 0 55561.00 83.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 GRS:2FGL_J0621.2+2508[naa+12] FermiAssoc * -228 J0621-55 J0621-55 06:20:42 3.0e+01 -56:05 7.0e+00 * 0 * 0 * 0 * 264.804 -26.411 * 0 * 0 * 0 * 0 * 22.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pks_superb RRAT -229 J0622+3749 J0622+3749 06:22:10.5 2.0e-02 +37:49:13.6 9.0e-01 * 0 * 0 * 0 55225.00 175.877 10.958 0.333208 6.0e-12 2.54e-14 5.0e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J0621.9+3750 FermiBlind NRAD -230 J0623+0340 J0623+0340 06:23:46.7 1.0e-02 +03:40:06.8 4.0e-01 * 0 * 0 * 0 54666.00 206.497 -4.459 0.613760 7.0e-12 8.84e-17 3.0e-20 * 0 * 0 54666.00 54.00 4.0e+00 * 0 * 0 0.27 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.38 * pkspa * - -231 B0621-04 J0624-0424 06:24:20.0 2.6e-03 -04:24:50.4 1.1e-01 * 0 * 0 * 0 49876.00 213.792 -8.036 1.039076 1.5e-12 8.30e-16 1.2e-20 -7.300e-29 3.0e-28 * 0 49876.00 70.83 1.1e-02 * 0 4.90 5.0e-01 2.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.94 * mol2,gb2,pks70 * -232 J0625+10 J0625+10 06:25:45 1.6e+01 +10:16 5.0e+00 * 0 * 0 * 0 49717.00 200.878 -0.956 0.498397 3.0e-06 * 0 * 0 * 0 49717.00 78.00 1.5e+01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * ar4,palfa * -233 J0627+0649 J0627+0649 06:27:53.6 8.0e-04 +06:49:54.1 5.0e-02 * 0 * 0 * 0 54466.00 204.166 -2.085 0.346523 1.3e-11 1.70e-15 3.0e-18 * 0 * 0 54466.00 86.60 8.0e-02 * 0 * 0 1.89 5.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * pkspa,ar327 * -234 J0627+0706 J0627+0706 06:27:44.2 2.0e-03 +07:06:12.7 1.1e+00 * 0 * 0 * 0 53400.00 203.907 -1.993 0.475874 1.2e-10 2.98e-14 1.0e-17 * 0 * 0 53400.00 138.25 7.0e-02 * 0 6.00 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.29 * ar4,pkspa * -235 J0627+16 J0627+16 06:27:13 7.0e+00 +16:12 2.0e+00 * 0 * 0 * 0 54466.00 195.793 2.124 2.180000 0 * 0 * 0 * 0 54466.00 113.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * palfa RRAT - -236 J0628+0909 J0628+0909 06:28:36.1 5.0e-03 +09:09:13.9 3.0e-01 * 0 * 0 * 0 54990.00 202.190 -0.851 1.241421 3.0e-12 5.48e-16 2.0e-19 * 0 * 0 54990.00 88.30 2.0e-01 * 0 * 0 0.06 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.77 * palfa RRAT -237 B0626+24 J0629+2415 06:29:05.7 4.0e-03 +24:15:43.3 1.1e+00 -7.000 1.2e+01 2.000 1.2e+01 * 0 49438.00 188.817 6.223 0.476623 4.0e-12 2.00e-15 3.0e-20 -7.800e-27 2.2e-27 * 0 49438.00 84.18 5.0e-03 * 0 31.00 2.0e+00 3.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.67 * gb1,gb3,gb4 * -238 J0630-0046 J0630-0046 06:30:26.9 1.2e-02 -00:46:05.8 1.7e-01 * 0 * 0 * 0 54355.00 211.220 -5.020 0.680575 7.0e-12 3.75e-15 1.9e-18 * 0 * 0 54355.00 97.30 5.0e-01 * 0 * 0 0.41 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * pkspa * -239 J0630+19 J0630+19 06:30:04 1.2e+02 +19:37 8.0e+00 * 0 * 0 * 0 57022.00 193.071 4.303 1.248550 0 * 0 * 0 * 0 57022.00 48.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * ar327 * -240 B0628-28 J0630-2834 06:30:49.4 4.3e-05 -28:34:42.7 3.7e-04 -46.300 9.9e-01 21.260 5.2e-01 3.010 4.1e-01 54100.00 236.952 -16.758 1.244419 8.0e-11 7.12e-15 3.0e-19 -1.180e-26 1.5e-27 * 0 46603.00 34.42 1.0e-03 * 0 206.00 2.2e+01 23.00 6.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.32 XRS:RX_J0630.8-2834[bjk+05] mol1,mol2,pks70,pkshl HE[to05] - -241 J0631+0646 J0631+0646 06:31:52.3 2.0e-02 +06:46:14.2 7.0e-01 * 0 * 0 * 0 55806.00 204.678 -1.238 0.110979 8.0e-13 3.62e-15 3.0e-20 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J0631.6+0644[aaa+15] FermiBlind NRAD -242 J0631+1036 J0631+1036 06:31:27.5 4.0e-03 +10:37:02.5 3.0e-01 * 0 * 0 * 0 53850.00 201.219 0.450 0.287800 9.0e-12 1.05e-13 1.7e-18 1.660e-22 1.2e-23 * 0 54750.00 125.36 1.0e-02 * 0 1.50 0 0.94 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 GRS:2FGL_J0631.5+1035[naa+12] misc,ar4,palfa HE[tsn+01,waa+10] -243 J0633+0632 J0633+0632 06:33:44.2 2.0e-02 +06:32:34.9 1.6e+00 * 0 * 0 * 0 54945.00 205.093 -0.932 0.297395 7.0e-11 7.96e-14 3.0e-18 -2.000e-23 1.0e-24 * 0 54945.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.35 GRS:2FGL_J0633.7+0633[naa+12],XRS:Swift_ FermiBlind NRAD -244 J0633+1746 J0633+1746 06:33:54.1 2.8e-03 +17:46:12.9 4.0e-02 138.000 4.0e+00 97.000 4.0e+00 6.400 1.8e+00 49793.00 195.134 4.266 0.237099 2.0e-12 1.10e-14 5.0e-20 * 0 * 0 50497.72 2.89 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 GRS:2CG195+04(Geminga),GRS:2FGL_J0633.9+ misc HE -245 J0633-2015 J0633-2015 06:33:08.8 4.0e-02 -20:15:07.1 6.0e-01 * 0 * 0 * 0 53389.00 229.260 -12.968 3.253211 5.0e-10 3.82e-15 8.0e-17 * 0 * 0 53389.00 90.70 2.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * pkshl * - -246 J0635+0533 J0635+0533 06:35:18 2.0e+00 +05:33:11 3.0e+01 * 0 * 0 * 0 50744.00 206.151 -1.043 0.033856 1.2e-08 * 0 * 0 * 0 50744.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * OPT:Be-star misc NRAD -247 J0636-4549 J0636-4549 06:36:33.7 1.6e-02 -45:49:32.6 1.6e-01 * 0 * 0 * 0 52700.00 254.547 -21.547 1.984597 4.0e-11 3.17e-15 2.0e-18 * 0 * 0 52700.00 26.31 1.5e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pkshl * -248 J0636+5129 J0636+5129 06:36:04.8 6.2e-06 +51:28:59.9 1.4e-04 * 0 * 0 0.900 4.0e-01 57002.00 163.909 18.643 0.002869 3.0e-17 3.44e-21 5.0e-24 * 0 * 0 57002.00 11.11 1.1e-04 * 0 1.80 0 * 0 ELL1 * 0 0.0666 3.0e-11 0.0090 8.0e-08 92.64 0.0e+00 2.603e-05 0.0e+00 57002.0924 1.2e-07 2.600e-05 1.3e-05 -1.200e-06 1.2e-05 0.21 XRS:[ska+16] gbncc * -249 J0645+5158 J0645+5158 06:45:59.0 5.1e-06 +51:58:14.9 6.5e-05 * 0 * 0 0.820 1.9e-01 56534.00 163.963 20.251 0.008853 1.5e-17 4.92e-21 1.0e-24 * 0 * 0 56534.00 18.25 9.0e-06 * 0 2.40 0 0.29 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 XRS:[ska+16] gbncc * -250 J0645+80 J0645+80 06:46 7.0e+00 +80:09 1.8e+01 * 0 * 0 * 0 56292.00 133.945 26.465 0.657873 2.4e-05 * 0 * 0 * 0 56292.00 50.00 3.0e+00 * 0 5.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.24 * gbncc * - -251 J0646+0905 J0646+0905 06:46:30.9 8.0e-03 +09:05:49.3 5.0e-01 * 0 * 0 * 0 54689.00 204.271 3.051 0.903913 7.0e-07 7.36e-16 3.0e-19 * 0 * 0 54689.00 149.00 7.0e-01 * 0 * 0 3.60 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * pkspa * -252 J0647+0913 J0647+0913 06:47:15.6 3.0e-02 +09:13:59.5 6.0e-01 * 0 * 0 * 0 54195.00 204.233 3.277 1.234854 3.0e-11 6.42e-15 8.0e-18 * 0 * 0 54195.00 154.70 1.2e+00 * 0 * 0 0.18 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.67 * pkspa * -253 J0652-0142 J0652-0142 06:52:11.1 1.2e-02 -01:42:30.3 4.0e-01 * 0 * 0 * 0 54031.00 214.538 -0.613 0.924054 1.4e-11 1.52e-16 1.2e-18 * 0 * 0 54031.00 116.30 1.1e+00 * 0 * 0 0.41 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.32 * pkspa * -254 J0653+4706 J0653+4706 06:53 0 +47:06 0 * 0 * 0 * 0 57754.00 169.261 19.765 0.004750 0 * 0 * 0 * 0 57754.00 25.54 0 * 0 * 0 * 0 BT * 0 5.8400 0 * 0 * 0 * 0 * 0 * 0 * 0 0.91 * FermiAssoc * -255 B0643+80 J0653+8051 06:53:15.0 3.0e-02 +80:52:00.2 1.1e-01 19.000 3.0e+00 -1.000 3.0e+00 * 0 48712.00 133.178 26.828 1.214441 2.0e-12 3.80e-15 1.5e-20 8.200e-28 1.4e-28 * 0 48712.00 33.32 7.1e-04 * 0 6.50 8.0e-01 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.35 * gb1,gbncc * - -256 J0656-2228 J0656-2228 06:56:30.2 9.0e-03 -22:28:25.5 1.5e-01 * 0 * 0 * 0 52850.00 233.655 -8.982 1.224754 3.0e-11 2.67e-17 1.7e-18 * 0 * 0 52850.00 32.39 1.7e-01 * 0 * 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.62 * pkshl * -257 J0656-5449 J0656-5449 06:56:48.9 7.0e-03 -54:49:14.9 4.0e-02 * 0 * 0 * 0 53000.00 264.795 -21.141 0.183157 2.0e-12 3.19e-17 9.0e-20 * 0 * 0 53000.00 67.50 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * pkssw * -258 J0658+0022 J0658+0022 06:58:15.2 5.0e-03 +00:22:35.3 3.0e-01 * 0 * 0 * 0 54322.00 213.374 1.688 0.563295 3.0e-12 9.15e-15 1.3e-19 * 0 * 0 54322.00 122.00 7.0e-01 * 0 * 0 0.13 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.36 * pkspa * -259 B0656+14 J0659+1414 06:59:48.1 4.0e-03 +14:14:21.5 3.0e-01 44.070 6.3e-01 -2.400 2.9e-01 3.470 3.6e-01 49721.00 201.108 8.258 0.384891 5.0e-12 5.50e-14 3.0e-20 7.640e-25 4.0e-27 * 0 49721.00 13.94 9.0e-02 * 0 6.50 6.0e-01 3.70 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.29 SNR:Monogem_Ring[tbb+03],GRS:2FGL_J0659. mol2 HE[chmm89,rfk+96,srg+97,w -260 B0655+64 J0700+6418 07:00:37.8 4.0e-03 +64:18:11.2 4.0e-02 * 0 * 0 * 0 48806.00 151.551 25.237 0.195671 1.6e-13 6.85e-19 1.2e-21 -5.600e-29 4.0e-28 * 0 48806.00 8.77 2.7e-04 * 0 5.00 1.0e+00 0.30 1.0e-01 BT 46066.7700 3.0e-02 1.0287 1.0e-09 4.1256 5.0e-06 276.00 9.0e+00 7.500e-06 1.1e-06 * 0 * 0 * 0 0.41 * gb1,gb2,gbncc * - -261 J0702-4956 J0702-4956 07:02:39.3 2.0e-01 -49:56:34.2 6.0e-01 * 0 * 0 * 0 57086.00 260.190 -18.723 0.665994 5.0e-10 * 0 * 0 * 0 57086.00 98.70 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * ghrss * -262 J0709-5923 J0709-5923 07:09:32.5 8.0e-03 -59:23:55.6 4.0e-02 * 0 * 0 * 0 53000.00 270.029 -20.899 0.485268 5.0e-12 1.26e-16 2.0e-19 * 0 * 0 53000.00 65.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * pkssw * -263 J0711+0931 J0711+0931 07:11:36.1 2.0e-02 +09:31:25 1.0e+00 * 0 * 0 * 0 51199.50 206.674 8.776 1.214090 1.0e-11 4.00e-16 1.0e-16 * 0 * 0 51199.50 46.24 1.3e-02 * 0 2.40 1.0e-01 0.04 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.17 * misc * -264 J0711-6830 J0711-6830 07:11:54.1 1.3e-05 -68:30:47.4 8.0e-05 -15.570 3.0e-02 14.240 3.0e-02 * 0 54500.00 279.531 -23.280 0.005491 4.0e-17 1.49e-20 4.0e-25 * 0 * 0 54500.00 18.41 6.0e-04 * 0 10.00 1.0e+00 3.20 5.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * pks70,pkssw * -265 J0719-2545 J0719-2545 07:19:07.3 5.0e-03 -25:45:00.2 9.0e-02 * 0 * 0 * 0 53000.00 238.934 -5.826 0.974725 9.0e-12 7.28e-15 7.0e-19 * 0 * 0 53000.00 253.89 6.0e-02 * 0 * 0 0.82 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.81 * pkshl * - -266 J0720-3125 J0720-3125 07:20:24.9 9.0e-04 -31:25:50.0 1.1e-02 -93.900 1.2e+00 52.800 1.3e+00 2.800 9.0e-01 52645.10 244.158 -8.165 8.391116 2.6e-08 6.98e-14 2.2e-16 * 0 * 0 53010.26 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 XRS:RX_J0720.4-3125,OPT:[kva07] misc XINS,NRAD -267 J0721-2038 J0721-2038 07:21:42.9 1.1e-03 -20:38:07.0 1.7e-02 * 0 * 0 * 0 55187.00 234.669 -2.922 0.015542 8.0e-14 4.40e-20 4.0e-21 * 0 * 0 55187.00 76.10 6.0e-01 * 0 * 0 0.63 1.9e-01 BT 54353.7100 3.0e-02 5.4608 8.0e-08 9.3790 3.0e-05 195.60 2.0e+00 1.020e-04 5.0e-06 * 0 * 0 * 0 2.68 * pkspa * -268 J0725-1635 J0725-1635 07:25:00.4 6.1e-03 -16:35:45.8 1.4e-01 * 0 * 0 * 0 50884.00 231.473 -0.330 0.424311 1.1e-12 9.26e-17 1.1e-20 1.500e-27 1.9e-27 * 0 50884.00 98.98 3.0e-02 * 0 4.00 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.78 * pks70,pksmb * -269 J0726-2612 J0726-2612 07:26:08.1 4.0e-02 -26:12:38.1 8.0e-01 * 0 * 0 * 0 52950.00 240.079 -4.644 3.442308 4.0e-10 2.93e-13 4.0e-17 * 0 * 0 52950.00 69.40 4.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 XRS:1RXS_J072559.8-261229[skk11] pkshl * -270 J0729-1448 J0729-1448 07:29:16.4 2.0e-02 -14:48:36.8 8.0e-01 * 0 * 0 * 0 51367.00 230.392 1.424 0.251659 1.3e-11 1.13e-13 4.0e-19 2.000e-23 6.0e-25 * 0 51367.00 91.70 2.0e-01 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.68 * pksmb * - -271 B0727-18 J0729-1836 07:29:32.3 2.8e-03 -18:36:42.7 6.7e-02 * 0 * 0 * 0 49720.00 233.760 -0.341 0.510160 3.0e-11 1.90e-14 1.9e-19 3.760e-25 1.5e-26 * 0 49720.00 61.29 1.0e-02 * 0 11.20 7.0e-01 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * mol2,pks70,pksmb,pkshl * -272 J0733-2345 J0733-2345 07:33:24.6 4.0e-02 -23:45:56.2 1.1e+00 * 0 * 0 * 0 53014.00 238.713 -2.030 1.796250 1.0e-10 5.70e-15 1.0e-17 * 0 * 0 53014.00 194.00 3.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * pksmb * -273 J0734-1559 J0734-1559 07:34 0 -15:59 0 * 0 * 0 * 0 55000.00 231.969 1.858 0.156250 0 1.22e-14 0 * 0 * 0 55000.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -274 J0736-6304 J0736-6304 07:36:20.0 2.7e-01 -63:04:16 2.0e+00 * 0 * 0 * 0 56212.00 274.881 -19.153 4.862874 7.0e-10 1.52e-13 2.5e-16 * 0 * 0 56212.00 19.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.10 * pkssw RRAT -275 J0737-2202 J0737-2202 07:37:44.0 6.0e-03 -22:02:05.3 1.4e-01 * 0 * 0 * 0 51581.00 237.685 -0.318 0.320366 5.0e-12 5.47e-15 1.1e-19 6.800e-26 6.4e-26 * 0 51581.00 95.70 4.0e-01 * 0 * 0 0.47 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb * - -276 J0737-3039A J0737-3039A 07:37:51.2 2.6e-05 -30:39:40.7 1.0e-04 -3.820 6.2e-01 2.130 2.3e-01 0.870 1.4e-01 54100.00 245.236 -4.505 0.022699 1.1e-15 1.76e-18 6.0e-23 * 0 * 0 53156.00 48.92 5.0e-03 * 0 * 0 1.60 3.0e-01 DDS 53155.9074 2.0e-07 0.1023 5.0e-11 1.4150 1.0e-06 87.03 8.0e-04 8.778e-02 9.0e-07 * 0 * 0 * 0 1.10 * pkshl,htru_pks HE[cgm+07,gkj+13] -277 J0737-3039B J0737-3039B 07:37:51.2 2.6e-05 -30:39:40.7 1.0e-04 -3.820 6.2e-01 2.130 2.3e-01 0.870 1.4e-01 54100.00 245.236 -4.505 2.773461 8.0e-11 8.92e-16 8.0e-18 * 0 * 0 53156.00 48.92 5.0e-03 * 0 * 0 1.30 3.0e-01 DD 53155.9074 2.0e-07 0.1023 5.0e-11 1.5161 1.6e-03 267.03 8.0e-04 8.778e-02 9.0e-07 * 0 * 0 * 0 1.10 * pkshl * -278 J0737+69 J0737+69 07:37 2.0e+00 +69:14 8.0e+00 * 0 * 0 * 0 56292.00 146.409 29.254 6.824240 6.3e-04 * 0 * 0 * 0 56292.00 16.00 3.0e+00 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.04 * gbncc * -279 B0736-40 J0738-4042 07:38:32.3 1.0e-02 -40:42:40.9 1.0e-01 -14.000 1.2e+00 13.000 2.0e+00 * 0 51360.00 254.194 -9.192 0.374920 6.0e-12 1.62e-15 9.0e-19 * 0 * 0 51700.00 160.90 3.0e-03 * 0 190.00 0 83.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.60 * mol1,mol2,pks70,pkshl,htru_pks * -280 J0740+41 J0740+41 07:41 1.0e+00 +41:04 8.0e+00 * 0 * 0 * 0 56292.00 178.179 26.329 0.003139 4.8e-09 * 0 * 0 * 0 56292.00 20.83 9.0e-02 * 0 5.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.51 * gbncc * - -281 J0740+6620 J0740+6620 07:40:45.7 1.8e-05 +66:20:33.5 1.8e-04 * 0 * 0 2.300 7.0e-01 57017.00 149.730 29.599 0.002886 3.0e-17 1.22e-20 5.0e-24 * 0 * 0 57017.00 14.96 2.4e-04 * 0 32.50 0 * 0 ELL1H * 0 4.7669 1.0e-09 3.9776 1.8e-07 246.05 0.0e+00 4.902e-06 0.0e+00 57018.1854 4.0e-08 -4.480e-06 1.0e-07 -1.990e-06 8.0e-08 0.43 * gbncc HE[lsg+15] -282 B0740-28 J0742-2822 07:42:49.0 2.0e-03 -28:22:43.7 4.0e-02 -29.000 2.0e+00 4.000 2.0e+00 * 0 49326.00 243.773 -2.444 0.166762 2.0e-11 1.68e-14 1.4e-19 -1.320e-24 8.0e-26 * 0 49326.00 73.73 1.0e-03 * 0 296.00 1.4e+01 15.00 1.5e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 GRS:2FGL_J0742.4-2821[naa+12] misc,mol2,pks70,pksmb,pkshl,htru_pk HE -283 B0743-53 J0745-5353 07:45:02.3 5.0e-01 -53:51:22 2.0e+00 * 0 * 0 * 0 43779.71 266.630 -14.275 0.214836 5.0e-10 2.73e-15 3.0e-17 * 0 * 0 43779.71 121.38 2.0e-02 * 0 23.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * mol2,pks70,pkssw,htru_pks,ghrss * -284 J0746-4529 J0746-4529 07:46:59.5 1.6e-02 -45:29:26.6 1.7e-01 * 0 * 0 * 0 52950.00 259.203 -10.103 2.791025 5.0e-11 1.67e-14 5.0e-18 * 0 * 0 52950.00 134.57 1.2e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * pkshl * -285 J0746+66 J0746+66 07:46 3.0e+00 +66:36 1.8e+01 * 0 * 0 * 0 56292.00 149.432 30.122 0.407670 9.3e-06 * 0 * 0 * 0 56292.00 28.00 1.0e+00 * 0 7.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * gbncc * - -286 J0749-4247 J0749-4247 07:49:49.6 4.0e-03 -42:47:42.1 4.0e-02 * 0 * 0 * 0 49014.00 257.066 -8.349 1.095452 1.4e-11 9.77e-16 4.0e-19 * 0 * 0 49014.00 104.59 9.0e-03 * 0 8.00 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.56 * pks70,pkshl,htru_pks * -287 J0749-68 J0749-68 07:50:50 1.0e+00 -68:44:27 4.0e+00 * 0 * 0 * 0 57388.00 281.031 -20.014 0.915171 2.0e-09 * 0 * 0 * 0 57388.00 26.00 0 * 0 * 0 4.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * pks_superb * -288 J0750+57 J0750+57 07:50 2.0e+00 +57:00 1.8e+01 * 0 * 0 * 0 56292.00 160.557 30.327 1.174875 6.5e-05 * 0 * 0 * 0 56292.00 27.00 2.0e+00 * 0 2.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.62 * gbncc * -289 J0751+1807 J0751+1807 07:51:09.1 1.3e-05 +18:07:38.4 1.0e-03 -2.730 5.0e-02 -13.400 3.0e-01 0.820 1.7e-01 51800.00 202.730 21.086 0.003479 4.0e-17 7.79e-21 5.0e-25 * 0 * 0 55000.00 30.25 6.0e-03 0.000 2.0e-04 10.00 0 3.20 7.0e-01 ELL1H * 0 0.2631 7.0e-12 0.3966 3.0e-07 83.43 0.0e+00 3.322e-06 0.0e+00 51800.2159 4.0e-08 3.300e-06 5.0e-07 3.800e-07 5.0e-07 1.11 GRS:2FGL_J0751.1+1809[naa+12] misc HE[wob+04,aaa+09f] -290 B0751+32 J0754+3231 07:54:40.6 5.0e-03 +32:31:56.2 2.0e-01 -4.000 5.0e+00 7.000 3.0e+00 * 0 48725.00 188.187 26.721 1.442349 3.0e-12 1.08e-15 1.7e-20 -2.300e-28 1.1e-28 * 0 48725.00 39.99 1.4e-03 * 0 8.00 1.0e+00 0.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * gb1,ar4 * - -291 B0756-15 J0758-1528 07:58:29.0 7.0e-04 -15:28:08.7 1.9e-02 1.000 4.0e+00 4.000 6.0e+00 * 0 49896.00 234.464 7.224 0.682265 1.4e-12 1.62e-15 1.4e-20 -2.370e-26 6.0e-28 * 0 49896.00 63.33 3.0e-03 * 0 8.20 6.0e-01 2.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.71 * mol2,gb3,pks70,pkshl * -292 J0804-3647 J0804-3647 08:04:22.2 4.0e-02 -36:47:35.5 5.0e-01 * 0 * 0 * 0 54987.00 253.331 -2.872 2.191987 1.5e-10 4.21e-15 3.0e-17 * 0 * 0 54987.00 196.00 5.0e+00 * 0 * 0 0.29 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.35 * pkspa * -293 J0806+08 J0806+08 08:06:05 3.0e+01 +08:17 8.0e+00 * 0 * 0 * 0 56477.00 213.920 20.334 2.063100 0 * 0 * 0 * 0 56477.00 46.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.85 * ar327 * -294 J0806-4123 J0806-4123 08:06:23.4 4.0e-02 -41:22:30.9 6.0e-01 * 0 * 0 * 0 54771.32 257.426 -4.983 11.370386 1.2e-07 5.56e-14 3.0e-14 * 0 * 0 54771.32 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J0806.4-4123[hmp98],OPT:[kkvh11] misc XINS,NRAD -295 J0807-5421 J0807-5421 08:07:47.1 8.0e-03 -54:21:26.4 8.0e-02 * 0 * 0 * 0 55333.00 268.727 -11.594 0.526644 3.0e-11 3.78e-16 1.0e-18 * 0 * 0 55333.00 165.03 7.0e-02 * 0 * 0 0.35 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 * htru_pks * - -296 J0808-3937 J0808-3937 08:08:11.6 3.0e-02 -39:37:52.9 3.0e-01 * 0 * 0 * 0 54881.00 256.134 -3.759 0.866349 3.0e-11 4.01e-16 3.0e-18 * 0 * 0 54881.00 165.00 4.0e+00 * 0 * 0 0.21 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 * pkspa * -297 B0808-47 J0809-4753 08:09:43.8 9.0e-03 -47:53:55.1 9.0e-02 * 0 * 0 * 0 46916.00 263.301 -7.957 0.547199 4.0e-12 3.08e-15 4.0e-19 * 0 * 0 46800.00 228.30 1.2e+00 * 0 46.00 0 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.49 * mol2,pks70,pkssw,htru_pks,ghrss * -298 J0812-3905 J0812-3905 08:12:14.8 1.0e-02 -39:05:48.9 9.0e-02 * 0 * 0 * 0 55083.00 256.111 -2.811 0.482596 4.0e-12 4.49e-17 1.2e-18 * 0 * 0 55083.00 327.00 4.0e+00 * 0 * 0 0.88 2.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * pkspa * -299 B0809+74 J0814+7429 08:14:59.5 2.0e-02 +74:29:05.7 1.1e-01 24.020 9.0e-02 -44.000 4.0e-01 2.310 4.0e-02 49162.00 139.998 31.618 1.292241 3.0e-12 1.68e-16 1.4e-20 1.600e-28 1.2e-28 * 0 49162.00 5.75 4.8e-04 * 0 79.00 1.5e+01 10.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * gb1,gb2,gb4,gbncc * -300 J0815+0939 J0815+0939 08:15:08.7 9.0e-03 +09:39:50.7 6.0e-01 * 0 * 0 * 0 52854.00 213.626 22.950 0.645161 5.0e-11 1.39e-16 6.0e-18 * 0 * 0 52854.00 52.66 7.9e-03 * 0 3.70 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * ar4 * - -301 J0818-3049 J0818-3049 08:18:49.3 4.0e-01 -30:49:31 5.0e+00 * 0 * 0 * 0 55903.00 249.983 2.908 0.763742 5.0e-10 5.80e-16 2.4e-16 * 0 * 0 55903.00 133.70 2.0e-01 * 0 * 0 0.45 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * pkspa * -302 J0818-3232 J0818-3232 08:18:25.9 7.0e-03 -32:32:30.5 1.1e-01 * 0 * 0 * 0 52500.00 251.358 1.875 2.161259 1.5e-11 7.53e-16 5.0e-19 * 0 * 0 52500.00 131.80 7.0e-02 * 0 * 0 0.86 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.48 * pkshl,htru_pks * -303 B0818-13 J0820-1350 08:20:26.3 1.0e-04 -13:50:55.8 2.0e-03 21.640 9.0e-02 -39.440 5.0e-02 0.510 4.0e-02 52275.00 235.890 12.595 1.238130 8.0e-13 2.11e-15 7.0e-21 1.800e-28 5.0e-29 * 0 48904.00 40.94 3.0e-03 * 0 102.00 6.0e+00 7.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * mol1,mol2,gb3,pks70,pkshl * -304 J0820-3826 J0820-3826 08:20:59.9 4.0e-03 -38:26:42.8 5.0e-02 * 0 * 0 * 0 54194.00 256.523 -1.032 0.124836 7.0e-13 2.44e-15 1.1e-19 * 0 * 0 54194.00 195.56 1.8e-01 * 0 * 0 1.25 3.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * pkspa * -305 J0820-3921 J0820-3921 08:20:49.1 4.0e-02 -39:21:55.7 4.0e-01 * 0 * 0 * 0 52700.00 257.261 -1.583 1.073567 4.0e-11 1.22e-14 4.0e-18 * 0 * 0 52700.00 179.40 1.0e-01 * 0 * 0 0.56 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.58 * pkshl,htru_pks * - -306 B0818-41 J0820-4114 08:20:15.4 7.0e-02 -41:14:36.4 7.0e-01 * 0 * 0 * 0 48383.00 258.749 -2.735 0.545446 2.0e-11 1.89e-17 1.3e-18 * 0 * 0 48383.00 113.40 2.0e-01 * 0 65.00 0 5.20 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * mol2,pks70,pksmb,pkshl,htru_pks * -307 J0821-4221 J0821-4221 08:21:44.6 3.0e-03 -42:21:25.4 4.0e-02 * 0 * 0 * 0 52950.00 259.825 -3.137 0.396728 1.9e-12 3.48e-15 7.0e-20 * 0 * 0 52950.00 270.60 1.0e-01 * 0 * 0 0.51 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pkshl,htru_pks * -308 J0821-4300 J0821-4300 08:21:57.3 3.1e-03 -43:00:17.0 4.3e-02 -54.100 8.3e+00 -28.100 1.0e+01 * 0 53454.00 260.382 -3.473 0.112799 5.0e-12 9.28e-18 4.0e-19 * 0 * 0 55580.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 SNR:PUPPIS_A,XRS:RX_J0822-4300 misc NRAD -309 B0820+02 J0823+0159 08:23:09.7 2.0e-03 +01:59:12.4 9.0e-02 5.000 1.1e+01 -1.000 8.0e+00 * 0 49281.00 221.988 21.245 0.864873 9.0e-13 1.05e-16 6.0e-21 -7.900e-28 1.3e-28 * 0 49281.00 23.73 6.0e-03 * 0 30.00 5.0e+00 1.50 7.0e-01 BT 44286.4900 5.0e-02 1232.4040 1.1e-02 162.1456 6.0e-05 332.02 1.5e-02 1.187e-02 8.0e-07 * 0 * 0 * 0 0.81 * mol2,gb3,pkshl,gb4 * -310 J0824+00 J0824+00 08:24:16 3.0e+01 +00:27 8.0e+00 * 0 * 0 * 0 56398.00 223.574 20.749 0.009900 0 * 0 * 0 * 0 56398.00 35.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * ar327 * - -311 B0823+26 J0826+2637 08:26:51.3 1.6e-03 +26:37:23.7 7.0e-02 61.000 3.0e+00 -90.000 2.0e+00 2.800 6.0e-01 46450.00 196.963 31.742 0.530661 3.0e-11 1.71e-15 9.0e-20 1.500e-26 3.0e-27 * 0 46450.00 19.48 1.8e-04 * 0 73.00 1.3e+01 10.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.32 * gb1,ar4,gb4 HE[bwt+04] -312 B0826-34 J0828-3417 08:28:16.6 1.9e-01 -34:17:07 2.8e+00 * 0 * 0 * 0 48132.00 253.965 2.561 1.848919 1.1e-10 9.96e-16 5.0e-19 -1.000e-27 2.0e-27 * 0 48132.00 52.20 6.0e-01 * 0 16.00 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * mol2,pks70,pksmb,pkshl * -313 J0831-4406 J0831-4406 08:31:32.4 3.0e-02 -44:06:11.9 4.0e-01 * 0 * 0 * 0 51396.00 262.285 -2.694 0.311674 1.1e-11 1.28e-15 6.0e-18 * 0 * 0 51396.00 254.00 5.0e-01 * 0 * 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.88 * pksmb,htru_pks * -314 J0834-4159 J0834-4159 08:34:16.3 1.0e-01 -41:59:51 1.0e+00 * 0 * 0 * 0 51505.00 260.886 -1.042 0.121116 1.5e-11 4.44e-15 8.0e-18 * 0 * 0 51505.00 240.50 1.5e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.51 * pksmb,htru_pks * -315 J0834-60 J0834-60 08:34:50 4.0e+01 -60:35 5.0e+00 * 0 * 0 * 0 51401.10 276.075 -11.924 0.384645 6.0e-06 * 0 * 0 * 0 51401.10 20.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.10 * pkssw * - -316 J0835-3707 J0835-3707 08:35:03.0 3.0e-02 -37:07:51.5 3.0e-01 * 0 * 0 * 0 51137.00 257.076 1.990 0.541404 1.5e-11 9.78e-15 9.0e-18 * 0 * 0 51137.00 112.30 3.0e-01 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.55 * pksmb,pkshl,htru_pks * -317 J0835-42 J0835-42 08:35:37 0 -42:32:37 0 * 0 * 0 * 0 55561.00 261.473 -1.169 0.738400 0 * 0 * 0 * 0 55561.00 190.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.21 * htru_pks * -318 B0833-45 J0835-4510 08:35:20.6 2.0e-05 -45:10:34.8 3.0e-04 -49.680 6.0e-02 29.900 1.0e-01 3.500 2.0e-01 51544.00 263.552 -2.787 0.089328 4.0e-12 1.25e-13 1.6e-17 1.028e-21 1.0e-24 * 0 51559.32 67.97 2.0e-02 0.005 1.0e-03 5000.00 0 1100.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.28 SNR:Vela,GRS:2FGL_J0835.3-4510[naa+12],G mol1,mol2,pks70,pksmb,htru_pks HE[hg73,tfko75] -319 B0834+06 J0837+0610 08:37:05.6 3.0e-03 +06:10:14.5 1.4e-01 2.000 5.0e+00 51.000 3.0e+00 * 0 48721.00 219.721 26.272 1.273768 7.0e-13 6.80e-15 5.0e-21 9.600e-29 3.5e-29 * 0 48721.00 12.86 4.0e-04 * 0 89.00 1.4e+01 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.19 * misc,mol2,gb2,gb4 * -320 J0837-24 J0837-24 08:37:44 3.1e+01 -24:47:48 4.2e+02 * 0 * 0 * 0 * 247.453 9.799 * 0 * 0 * 0 * 0 * 142.80 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * htru_pks RRAT - -321 B0835-41 J0837-4135 08:37:21.1 1.7e-03 -41:35:14.3 2.0e-02 -2.300 1.8e+00 -18.000 3.0e+00 * 0 52340.00 260.904 -0.336 0.751624 8.0e-12 3.54e-15 1.2e-18 * 0 * 0 51700.00 147.29 7.0e-02 * 0 197.00 0 16.00 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.50 * mol1,mol2,pks70,pksmb,pkshl,htru_pk * -322 J0838-2621 J0838-2621 08:38:18.8 4.0e-03 -26:21:29.5 7.0e-02 * 0 * 0 * 0 53200.00 248.807 8.981 0.308581 2.0e-12 3.90e-17 3.0e-19 * 0 * 0 53200.00 116.90 5.0e-02 * 0 * 0 0.40 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * pkshl,htru_pks * -323 J0838-3947 J0838-3947 08:38:30.8 5.0e-01 -39:47:22 7.0e+00 * 0 * 0 * 0 51162.00 259.606 0.928 1.703946 9.0e-10 8.13e-16 3.2e-16 * 0 * 0 51162.00 219.00 1.1e+01 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.10 * pksmb * -324 B0839-53 J0840-5332 08:40:33.8 6.0e-02 -53:32:35.5 6.0e-01 * 0 * 0 * 0 47728.43 270.774 -7.143 0.720612 2.0e-11 1.64e-15 1.0e-18 * 0 * 0 47728.43 156.50 1.0e+00 * 0 19.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.57 * mol2,pks70,pkssw,htru_pks,ghrss * -325 B0840-48 J0842-4851 08:42:05.3 6.0e-02 -48:51:20.8 5.0e-01 * 0 * 0 * 0 43557.44 267.182 -4.101 0.644354 1.2e-10 9.50e-15 6.0e-18 * 0 * 0 43557.44 196.85 8.0e-02 * 0 6.20 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 * mol2,pks70,pksmb,htru_pks,ghrss * - -326 J0843+0719 J0843+0719 08:43:33.8 4.0e-02 +07:18:47.8 1.6e+00 * 0 * 0 * 0 52892.00 219.400 28.223 1.365860 5.0e-05 * 0 * 0 * 0 52892.00 36.60 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.07 * pkshl * -327 J0843-5022 J0843-5022 08:43:09.8 8.0e-03 -50:22:43.1 8.0e-02 * 0 * 0 * 0 51500.00 268.496 -4.898 0.208956 1.4e-12 1.72e-16 1.4e-19 * 0 * 0 51500.00 178.47 9.0e-02 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * pkssw,pksmb,htru_pks,ghrss * -328 B0844-35 J0846-3533 08:46:06.0 3.1e-02 -35:33:40.7 4.8e-01 93.000 7.2e+01 -15.000 6.5e+01 * 0 48719.00 257.190 4.710 1.116097 5.0e-12 1.60e-15 3.0e-20 9.300e-28 2.6e-28 * 0 48719.00 94.16 1.1e-01 * 0 16.00 0 2.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * mol2,pks70,pkshl,pksmb,htru_pks * -329 J0847-4316 J0847-4316 08:47:57.3 5.0e-02 -43:16:56.8 7.0e-01 * 0 * 0 * 0 53816.00 263.444 0.158 5.977493 7.0e-10 1.20e-13 2.0e-17 * 0 * 0 53816.00 292.50 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.55 * pksmb RRAT -330 J0848+16 J0848+16 08:48:53 3.1e+01 +16:43 8.0e+00 * 0 * 0 * 0 55673.00 210.060 33.305 0.452400 0 * 0 * 0 * 0 55673.00 38.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.28 * ar327 * - -331 J0849-6322 J0849-6322 08:49:42.5 2.0e-02 -63:22:35.0 1.0e-01 * 0 * 0 * 0 51500.00 279.433 -12.171 0.367953 5.0e-12 7.91e-16 5.0e-19 * 0 * 0 51500.00 91.29 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pkssw,htru_pks * -332 B0841+80 J0849+8028 08:49:01.5 3.0e-01 +80:28:59.1 9.7e-01 * 0 * 0 * 0 49993.00 132.654 31.462 1.602228 4.0e-11 4.46e-16 3.0e-19 1.100e-27 2.0e-27 * 0 49993.00 34.81 3.1e-03 * 0 1.50 0.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * gb2,gbncc * -333 B0853-33 J0855-3331 08:55:38.4 6.3e-03 -33:31:39.3 1.0e-01 * 0 * 0 * 0 49886.00 256.847 7.517 1.267536 5.0e-12 6.32e-15 3.0e-20 4.900e-28 4.0e-28 * 0 49886.00 86.64 1.6e-02 * 0 7.70 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.50 * mol2,pks70,pkshl,htru_pks * -334 J0855-4644 J0855-4644 08:55:36.1 3.0e-02 -46:44:13.4 5.0e-01 * 0 * 0 * 0 51368.00 266.967 -1.004 0.064686 4.0e-13 7.26e-15 3.0e-20 * 0 * 0 51368.00 236.40 1.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.64 SNR:RX_J0852.0-4622(?)[rm05] pksmb,htru_pks * -335 J0855-4658 J0855-4658 08:55:19.5 5.0e-02 -46:58:22.6 9.0e-01 * 0 * 0 * 0 51395.00 267.116 -1.193 0.575072 4.0e-11 1.36e-14 2.0e-17 * 0 * 0 51395.00 472.70 1.2e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.74 * pksmb,htru_pks * - -336 B0855-61 J0856-6137 08:56:59.3 9.0e-02 -61:37:53.3 5.0e-01 * 0 * 0 * 0 43557.48 278.575 -10.427 0.962509 3.0e-10 1.68e-15 1.0e-17 * 0 * 0 43557.48 95.00 3.0e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * mol2,pks70,pkssw,htru_pks * -337 J0857-4424 J0857-4424 08:57:55.1 2.0e-03 -44:24:10.3 3.0e-02 * 0 * 0 * 0 49080.00 265.455 0.820 0.326774 2.0e-12 2.33e-14 5.0e-20 * 0 * 0 49080.00 184.43 4.0e-03 * 0 12.00 0 0.88 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.83 * pks70,pksmb,htru_pks * -338 J0900-3144 J0900-3144 09:00:43.9 8.0e-06 -31:44:30.8 1.3e-04 -1.010 5.0e-02 2.020 7.0e-02 0.770 4.4e-01 55000.00 256.162 9.486 0.011110 6.0e-16 4.89e-20 1.1e-23 * 0 * 0 55000.00 75.71 8.0e-03 * 0 * 0 3.80 6.0e-01 ELL1 * 0 18.7376 9.0e-10 17.2488 1.5e-07 70.41 0.0e+00 1.049e-05 0.0e+00 52678.6303 1.3e-07 9.883e-06 1.7e-08 3.517e-06 1.7e-08 0.89 * pkshl,htru_pks * -339 J0901-4624 J0901-4624 09:01:40.1 3.0e-02 -46:24:48.5 5.0e-01 * 0 * 0 * 0 51031.00 267.404 -0.004 0.441995 1.4e-11 8.75e-14 8.0e-18 * 0 * 0 51031.00 199.30 2.0e-01 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * pksmb * -340 B0901-63 J0902-6325 09:02:32.4 1.0e-01 -63:25:12.0 7.0e-01 * 0 * 0 * 0 43557.50 280.390 -11.082 0.660313 2.0e-10 1.07e-16 9.0e-18 * 0 * 0 43557.50 76.00 7.0e+00 * 0 4.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * mol2,pkssw,htru_pks * - -341 B0903-42 J0904-4246 09:04:59.2 1.0e-01 -42:46:14 1.0e+00 * 0 * 0 * 0 43557.51 265.075 2.859 0.965171 4.0e-10 1.89e-15 1.8e-17 * 0 * 0 43557.51 145.80 5.0e-01 * 0 8.00 0 0.60 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.68 * mol2,pks70,pksmb * -342 B0904-74 J0904-7459 09:04:10.8 2.0e-01 -74:59:42.8 5.0e-01 * 0 * 0 * 0 43555.43 289.738 -18.320 0.549553 1.2e-10 4.63e-16 6.0e-18 * 0 * 0 43555.43 51.10 1.6e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * mol2,pks70 * -343 J0905-4536 J0905-4536 09:05:23.9 5.0e-02 -45:36:53.0 5.0e-01 * 0 * 0 * 0 48818.00 267.239 1.011 0.988281 2.0e-10 1.49e-16 3.0e-18 * 0 * 0 48818.00 179.70 0 * 0 13.00 0 0.83 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.96 * pks70,pksmb,htru_pks * -344 J0905-5127 J0905-5127 09:05:51.9 4.0e-03 -51:27:48.7 4.0e-02 * 0 * 0 * 0 48958.00 271.632 -2.853 0.346287 2.0e-12 2.49e-14 4.0e-20 * 0 * 0 48958.00 196.43 4.0e-03 * 0 12.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * pks70,pksmb,htru_pks,ghrss * -345 J0905-6019 J0905-6019 09:05:15.2 5.0e-03 -60:19:22.0 3.0e-02 * 0 * 0 * 0 55191.00 278.222 -8.816 0.340854 8.0e-12 5.22e-16 3.0e-19 * 0 * 0 55191.00 91.40 4.0e-01 * 0 * 0 0.36 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * htru_pks * - -346 B0905-51 J0907-5157 09:07:15.9 1.0e-02 -51:57:59.2 1.0e-01 * 0 * 0 * 0 46917.00 272.150 -3.031 0.253556 3.0e-12 1.83e-15 2.0e-19 * 0 * 0 46800.00 103.72 0 * 0 35.00 0 9.30 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.34 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -347 B0906-17 J0908-1739 09:08:38.1 1.1e-03 -17:39:37.6 3.0e-02 27.000 1.1e+01 -40.000 1.1e+01 * 0 48737.00 246.119 19.850 0.401626 1.8e-13 6.69e-16 1.7e-21 1.100e-27 1.2e-28 * 0 48737.00 15.88 2.0e-03 * 0 16.00 1.0e+00 3.20 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 * mol2,gb2,pks70,pkshl * -348 B0906-49 J0908-4913 09:08:35.5 1.0e-01 -49:13:06.5 9.0e-01 * 0 * 0 * 0 46546.28 270.266 -1.019 0.106755 3.0e-11 1.52e-14 2.0e-18 * 0 * 0 46546.28 180.37 5.0e-02 -0.038 4.0e-03 28.00 3.0e+00 10.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * misc,pks1,pks70,pksmb,htru_pks * -349 B0909-71 J0909-7212 09:09:36.0 2.0e-01 -72:12:08.4 6.0e-01 * 0 * 0 * 0 43557.53 287.728 -16.256 1.362890 5.0e-10 3.33e-16 1.7e-17 * 0 * 0 43557.53 54.30 1.6e+00 * 0 6.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.75 * mol2,pks70 * -350 B0904+77 J0910+77 09:10 1.0e+01 +77:28 5.0e+01 * 0 * 0 * 0 39856.00 135.325 33.704 1.579050 6.0e-05 * 0 * 0 * 0 39856.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * misc * - -351 J0912-3851 J0912-3851 09:12:42.7 2.0e-02 -38:51:03 1.0e+00 * 0 * 0 * 0 55093.00 263.165 6.584 1.526085 3.0e-09 3.59e-15 5.0e-17 * 0 * 0 55093.00 71.50 7.0e-01 * 0 * 0 0.14 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * htru_pks RRAT -352 J0919-42 J0919-42 09:19 4.0e+00 -42:00 4.0e+01 * 0 * 0 * 0 56657.00 266.285 5.274 0.812600 0 * 0 * 0 * 0 56657.00 57.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.33 * ghrss * -353 J0919-6040 J0919-6040 09:19:27.8 7.0e-02 -60:40:50.4 3.0e-01 * 0 * 0 * 0 55190.00 279.687 -7.774 1.216976 6.0e-10 1.00e-17 2.0e-17 * 0 * 0 55190.00 82.50 3.0e-01 * 0 * 0 0.23 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * htru_pks * -354 B0917+63 J0921+6254 09:21:14.1 1.6e-02 +62:54:13.9 1.4e-01 * 0 * 0 * 0 49687.00 151.431 40.725 1.567994 4.0e-12 3.61e-15 4.0e-20 1.700e-28 2.4e-28 * 0 49687.00 13.15 1.8e-04 * 0 5.00 1.0e+00 0.50 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * gb2,gb4 * -355 B0919+06 J0922+0638 09:22:14.0 4.0e-03 +06:38:23.3 1.7e-01 18.800 9.0e-01 86.400 7.0e-01 0.830 1.3e-01 48227.00 225.420 36.392 0.430627 1.7e-11 1.37e-14 1.0e-18 1.800e-24 1.0e-26 * 0 55140.16 27.30 5.0e-04 * 0 52.00 6.0e+00 4.20 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.10 XRS:[pb15] mol2,ar4,pkshl,gb4 * - -356 J0922-4949 J0922-4949 09:22:14.9 1.3e-02 -49:49:12.0 8.0e-02 * 0 * 0 * 0 51279.00 272.237 0.160 0.950289 8.0e-12 9.76e-14 4.0e-18 * 0 * 0 51279.00 237.10 3.0e-01 * 0 * 0 0.52 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * pksmb,htru_pks * -357 J0922-52 J0922-52 09:22 0 -52 0 * 0 * 0 * 0 56102.00 273.745 -1.415 0.009680 0 * 0 * 0 * 0 56102.00 122.40 0 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * pksmb * -358 J0923-31 J0923-31 09:23:58 5.0e+01 -31:57 1.5e+01 * 0 * 0 * 0 * 259.697 13.003 * 0 * 0 * 0 * 0 * 72.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pkssw RRAT -359 B0922-52 J0924-5302 09:24:08.6 5.0e-02 -53:02:44.2 4.0e-01 * 0 * 0 * 0 43555.46 274.712 -1.930 0.746295 1.0e-10 3.55e-14 5.0e-18 * 0 * 0 43555.46 152.90 5.0e-01 * 0 12.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.51 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -360 B0923-58 J0924-5814 09:24:31.0 1.0e-01 -58:14:06.4 8.0e-01 * 0 * 0 * 0 47728.45 278.395 -5.595 0.739501 4.0e-11 4.88e-15 2.0e-18 * 0 * 0 47728.45 57.40 3.0e-01 * 0 22.00 0 4.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * mol2,pks70,pksmb,htru_pks * - -361 J0927+2345 J0927+2345 09:27:45.2 5.0e-02 +23:45:10.7 1.2e+00 * 0 * 0 * 0 53400.00 205.286 44.202 0.761889 9.0e-11 3.05e-16 4.0e-18 * 0 * 0 53400.00 17.24 1.2e-01 * 0 1.00 0 0.06 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * ar4 * -362 J0928+06 J0928+06 09:28:44 3.0e+01 +06:14 8.0e+00 * 0 * 0 * 0 56437.00 226.854 37.601 2.060400 0 * 0 * 0 * 0 56437.00 50.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -363 J0928+30 J0928+30 09:28:43 4.0e+01 +30:37 1.0e+01 * 0 * 0 * 0 57022.00 195.848 45.853 2.091900 0 * 0 * 0 * 0 57022.00 22.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.04 * misc * -364 J0931-1902 J0931-1902 09:31:19.1 1.3e-05 -19:02:55.0 3.1e-04 * 0 * 0 1.200 9.0e-01 56864.00 250.999 23.054 0.004638 7.0e-17 3.63e-21 7.0e-24 * 0 * 0 56864.00 41.49 2.4e-04 * 0 * 0 0.42 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.72 * gb350 * -365 J0932-3217 J0932-3217 09:32:39.1 6.0e-02 -32:17:14.2 8.0e-01 * 0 * 0 * 0 51500.00 261.277 14.069 1.931627 1.9e-10 2.50e-16 1.5e-17 * 0 * 0 51500.00 102.10 8.0e-01 * 0 * 0 0.32 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 * pkssw,htru_pks * - -366 J0932-5327 J0932-5327 09:32:22.8 1.4e-01 -53:27:11.0 1.6e+00 * 0 * 0 * 0 53099.00 275.885 -1.375 4.392159 6.0e-10 8.37e-15 8.0e-17 * 0 * 0 53099.00 122.00 1.1e+01 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * pksmb,htru_pks * -367 J0934-4154 J0934-4154 09:34:58.2 3.0e-02 -41:54:19.5 3.0e-01 * 0 * 0 * 0 51650.00 268.361 7.411 0.570409 1.4e-11 2.69e-16 3.0e-18 * 0 * 0 51650.00 113.79 1.6e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.53 * pkssw * -368 B0932-52 J0934-5249 09:34:28.3 6.0e-02 -52:49:27.2 4.0e-01 * 0 * 0 * 0 47820.77 275.690 -0.700 1.444773 3.0e-11 4.65e-15 2.0e-18 * 0 * 0 47820.77 100.00 2.0e+00 * 0 18.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -369 J0940-5428 J0940-5428 09:40:58.2 4.0e-02 -54:28:40.6 3.0e-01 * 0 * 0 * 0 51091.00 277.510 -1.292 0.087545 4.0e-12 3.29e-14 1.0e-18 * 0 * 0 51091.00 134.55 3.0e-02 * 0 * 0 0.66 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * pksmb * -370 J0941-39 J0941-39 09:41:38 4.6e+01 -39:41 1.5e+01 * 0 * 0 * 0 54831.00 267.795 9.904 0.586778 3.0e-11 * 0 * 0 * 0 54831.00 78.20 2.7e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * pkssw,htru_pks RRAT - -371 J0941-5244 J0941-5244 09:41:41.1 6.0e-03 -52:44:04.4 5.0e-02 * 0 * 0 * 0 48930.00 276.446 0.092 0.658558 1.0e-11 1.14e-15 2.0e-19 * 0 * 0 48930.00 157.94 1.0e-02 * 0 11.00 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * pks70,pksmb,htru_pks * -372 B0940-55 J0942-5552 09:42:15.8 9.0e-02 -55:52:52.3 9.0e-01 * 0 * 0 * 0 46800.00 278.571 -2.230 0.664367 6.0e-11 2.29e-14 5.0e-18 * 0 * 0 46800.00 180.20 5.0e-01 * 0 55.00 0 10.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -373 B0941-56 J0942-5657 09:42:54.4 1.6e-02 -56:57:43.4 1.4e-01 * 0 * 0 * 0 46809.00 279.345 -2.990 0.808127 1.1e-11 3.96e-14 1.1e-18 * 0 * 0 46800.00 159.74 1.2e-01 * 0 13.00 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 * mol2,pks1,pks70,pksmb,htru_pks * -374 B0940+16 J0943+1631 09:43:30.1 1.5e-01 +16:31:37 6.0e+00 23.000 1.6e+01 9.000 1.1e+01 * 0 48865.00 216.609 45.380 1.087418 1.0e-11 9.11e-17 8.0e-20 4.000e-28 8.3e-28 * 0 48865.00 20.34 1.8e-03 * 0 7.00 2.0e+00 1.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.49 * mol2,ar4 * -375 J0943+2253 J0943+2253 09:43:32.3 1.0e-03 +22:53:05.6 4.0e-02 * 0 * 0 * 0 53400.00 207.887 47.458 0.532975 9.0e-13 8.98e-17 2.0e-21 * 0 * 0 53400.00 27.25 1.5e-03 * 0 5.50 0 0.39 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * ar4 * - -376 J0943+41 J0943+41 09:43 2.0e+00 +41:09 1.8e+01 * 0 * 0 * 0 56292.00 180.395 49.127 2.229489 9.9e-05 * 0 * 0 * 0 56292.00 21.00 2.0e+00 * 0 8.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * gbncc * -377 B0942-13 J0944-1354 09:44:28.9 1.1e-03 -13:54:41.6 3.0e-02 -1.000 3.2e+01 -22.000 1.4e+01 * 0 49337.00 249.129 28.843 0.570264 4.0e-13 4.53e-17 3.0e-21 -2.300e-28 1.3e-28 * 0 49337.00 12.50 3.0e-03 * 0 26.00 4.0e+00 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.69 * mol2,gb2,gb3,pks70,pkshl * -378 J0945-4833 J0945-4833 09:45:38.2 6.0e-03 -48:33:14.5 5.0e-02 * 0 * 0 * 0 51703.00 274.199 3.674 0.331586 1.8e-12 4.83e-15 6.0e-19 * 0 * 0 51703.00 98.10 3.0e-01 * 0 * 0 0.39 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 * pksmb,htru_pks * -379 B0943+10 J0946+0951 09:46:07.6 8.0e-01 +09:51:55 3.4e+01 -38.000 1.9e+01 -21.000 1.2e+01 * 0 48483.00 225.413 43.126 1.097706 7.0e-11 3.49e-15 2.0e-19 -4.300e-26 5.0e-27 * 0 48483.00 15.32 9.0e-04 * 0 4.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 XRS:[zsp05] misc,gb2 * -380 J0947+2740 J0947+2740 09:47:21.2 1.8e-02 +27:40:43.5 2.0e-01 * 0 * 0 * 0 53400.00 201.142 49.384 0.851014 6.0e-11 4.30e-16 3.0e-18 * 0 * 0 53400.00 29.09 7.0e-02 * 0 1.00 0 0.13 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * - -381 J0949-6902 J0949-6902 09:49:20.5 6.0e-03 -69:02:41.6 3.0e-02 * 0 * 0 * 0 55195.00 287.826 -11.702 0.640016 1.0e-11 6.37e-16 5.0e-19 * 0 * 0 55195.00 93.00 1.0e-01 * 0 * 0 0.31 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * htru_pks * -382 J0952-0607 J0952-0607 09:52:08.3 3.0e-03 -06:07:23.4 5.0e-02 * 0 * 0 * 0 57800.00 243.652 35.380 0.001414 4.0e-14 * 0 * 0 * 0 57800.00 22.41 1.0e-04 * 0 * 0 * 0 ELL1 57799.9120 8.0e-07 0.2675 1.2e-08 0.0627 1.4e-06 * 0 * 0 * 0 * 0 * 0 1.74 OPT:[bph+17] * * -383 B0950-38 J0952-3839 09:52:17.2 1.0e-01 -38:39:10.2 9.0e-01 * 0 * 0 * 0 43557.59 268.702 12.033 1.373815 5.0e-10 5.80e-16 3.0e-17 * 0 * 0 43557.59 167.00 3.0e+00 * 0 8.50 0 0.34 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.53 * mol2,pks70,pkssw,htru_pks * -384 B0950+08 J0953+0755 09:53:09.3 1.9e-03 +07:55:35.7 8.0e-02 -2.090 8.0e-02 29.460 7.0e-02 3.820 7.0e-02 46375.00 228.908 43.697 0.253065 9.0e-13 2.30e-16 3.0e-21 -7.600e-27 4.0e-28 * 0 46375.00 2.97 8.0e-05 * 0 400.00 2.0e+02 84.00 8.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.26 * misc,mol2,ar4,pkshl,gb4 HE[bwt+04] -385 J0954-5430 J0954-5430 09:54:06.0 3.0e-02 -54:30:53.5 7.0e-01 * 0 * 0 * 0 51034.00 278.999 -0.101 0.472834 1.6e-11 4.39e-14 1.2e-17 * 0 * 0 51034.00 201.57 5.0e-02 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * pksmb,htru_pks * - -386 B0953-52 J0955-5304 09:55:29.5 1.0e-02 -53:04:16.7 2.0e-01 * 0 * 0 * 0 43555.52 278.265 1.159 0.862118 5.0e-11 3.52e-15 3.0e-18 * 0 * 0 43555.52 156.90 2.0e-01 * 0 29.00 0 0.94 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * mol2,pks70,pksmb,htru_pks,ghrss * -387 J0955-61 J0955-61 09:55 1.0e+00 -61:48 7.0e+00 * 0 * 0 * 0 56657.00 283.629 -5.733 0.001999 0 * 0 * 0 * 0 56657.00 160.70 0 * 0 * 0 * 0 BT * 0 24.5780 0 13.2830 0 * 0 1.100e-01 0 * 0 * 0 * 0 2.17 GRS:3FGL_J0955.6-6148[aaa+15] FermiAssoc HE[ckr+15] -388 J0957-06 J0957-06 09:57 2.0e+00 -06:17 3.6e+01 * 0 * 0 * 0 56657.00 244.762 36.201 1.723700 8.0e-05 * 0 * 0 * 0 56657.00 26.95 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * gb350 RRAT -389 J0957-5432 J0957-5432 09:57:56.0 3.0e-02 -54:32:03.9 5.0e-01 * 0 * 0 * 0 51035.00 279.448 0.227 0.203557 6.0e-12 1.95e-15 4.0e-18 * 0 * 0 51035.00 226.10 3.0e-01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.45 * pksmb * -390 B0957-47 J0959-4809 09:59:26.2 9.0e-02 -48:09:47.5 7.0e-01 * 0 * 0 * 0 43557.61 275.742 5.418 0.670086 1.8e-10 8.20e-17 9.0e-18 * 0 * 0 43557.61 92.70 1.2e+00 * 0 16.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.36 * mol2,pks70,pkssw,htru_pks * - -391 J1000-5149 J1000-5149 10:00:28.1 6.0e-03 -51:49:58.1 7.0e-02 * 0 * 0 * 0 51368.00 278.107 2.603 0.255677 2.0e-12 9.59e-16 6.0e-19 * 0 * 0 51368.00 72.80 3.0e-01 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.13 * pksmb,htru_pks * -392 B0959-54 J1001-5507 10:01:37.9 1.1e-01 -55:07:06.7 1.1e+00 * 0 * 0 * 0 46800.00 280.226 0.085 1.436583 1.2e-10 5.14e-14 1.2e-17 * 0 * 0 46800.00 130.32 1.7e-01 * 0 80.00 0 6.30 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -393 J1001-5559 J1001-5559 10:01:08.6 3.0e-02 -55:59:00.2 3.0e-01 * 0 * 0 * 0 51172.00 280.691 -0.648 1.661177 4.0e-11 8.60e-16 4.0e-18 * 0 * 0 51172.00 159.30 9.0e-01 * 0 * 0 0.64 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * pksmb,htru_pks * -394 J1001-5939 J1001-5939 10:01:32.2 1.4e-01 -59:39:17.8 7.0e-01 * 0 * 0 * 0 53069.00 282.945 -3.548 7.733640 8.0e-10 5.99e-14 3.0e-16 * 0 * 0 53069.00 113.00 3.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * pksmb,htru_pks * -395 J1002-5559 J1002-5559 10:02:57.9 3.0e-01 -55:59:37 5.0e+00 * 0 * 0 * 0 51035.00 280.901 -0.503 0.777501 3.0e-10 1.57e-15 1.9e-16 * 0 * 0 51035.00 426.00 4.0e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 * pksmb * - -396 J1002-5919 J1002-5919 10:02:20.5 5.0e-02 -59:19:37.2 6.0e-01 * 0 * 0 * 0 56677.00 282.829 -3.224 0.713489 6.0e-10 1.04e-16 1.0e-19 * 0 * 0 56677.00 347.00 2.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.17 * htru_pks * -397 B1001-47 J1003-4747 10:03:21.5 3.0e-02 -47:47:02.0 3.0e-01 * 0 * 0 * 0 43555.50 276.037 6.117 0.307072 3.0e-11 2.21e-14 1.2e-18 * 0 * 0 43555.50 98.49 8.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.37 * mol2,pks70,pkssw,htru_pks,ghrss * -398 J1006-6311 J1006-6311 10:06:36.6 2.0e-02 -63:11:41.2 2.0e-01 * 0 * 0 * 0 49178.02 285.550 -6.029 0.835797 2.0e-10 5.73e-16 3.0e-18 * 0 * 0 49178.02 195.99 5.0e-02 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 * pks70 * -399 J1010+15 J1010+15 10:10:00 3.1e+01 +15:51 8.0e+00 * 0 * 0 * 0 * 221.258 50.980 * 0 * 0 * 0 * 0 * 42.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 RRAT -400 B1010-23 J1012-2337 10:12:33.7 3.2e-02 -23:38:22.4 5.8e-01 * 0 * 0 * 0 49874.00 262.131 26.377 2.517945 4.0e-11 8.81e-16 4.0e-19 6.000e-28 8.8e-28 * 0 49874.00 22.51 9.0e-02 * 0 4.10 8.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * mol2 * - -401 J1012-4235 J1012-4235 10:12:07 3.6e+01 -42:35 7.0e+00 * 0 * 0 * 0 56657.00 274.194 11.226 0.003101 0 * 0 * 0 * 0 56657.00 71.60 0 * 0 * 0 * 0 BT * 0 37.9720 0 21.2630 0 * 0 * 0 * 0 * 0 * 0 0.37 GRS:3FGL_J1012.0-4235[aaa+15] FermiAssoc HE[ckr+15] -402 J1012+5307 J1012+5307 10:12:33.4 5.0e-06 +53:07:02.2 6.0e-05 2.609 8.0e-03 -25.482 1.1e-02 0.710 1.7e-01 55000.00 160.347 50.858 0.005256 1.4e-17 1.71e-20 9.0e-26 * 0 * 0 55000.00 9.02 7.0e-05 * 0 30.00 0 3.20 0 ELL1 50700.2290 1.3e-02 0.6047 1.3e-11 0.5818 1.2e-07 87.80 0.0e+00 1.301e-06 0.0e+00 50700.0817 3.0e-08 1.300e-06 1.6e-07 5.000e-08 1.7e-07 0.70 OPT:[cgk98] misc HE[wob+04] -403 J1012-5830 J1012-5830 10:12:54.9 1.0e-01 -58:30:25.6 8.0e-01 * 0 * 0 * 0 51702.00 283.459 -1.762 2.133591 3.0e-10 3.77e-14 6.0e-17 * 0 * 0 51702.00 294.00 4.0e+00 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.80 * pksmb,htru_pks * -404 B1011-58 J1012-5857 10:12:48.5 3.0e-01 -58:57:40 2.0e+00 * 0 * 0 * 0 48016.20 283.706 -2.144 0.819911 3.0e-10 1.77e-14 1.0e-17 * 0 * 0 48016.20 383.90 1.0e-01 * 0 15.00 2.0e+00 1.70 1.8e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * pks1,pks70,pksmb,htru_pks * -405 J1013-5934 J1013-5934 10:13:31.8 6.0e-03 -59:34:26.7 1.0e-01 * 0 * 0 * 0 51397.00 284.130 -2.596 0.442901 4.0e-12 5.58e-16 2.0e-18 * 0 * 0 51397.00 379.78 1.7e-01 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pksmb,htru_pks * - -406 J1014-48 J1014-48 10:14:18 4.2e+01 -48:49:42 4.2e+02 * 0 * 0 * 0 55196.00 278.136 6.330 1.508800 2.0e-04 * 0 * 0 * 0 55196.00 87.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.38 * htru_pks RRAT -407 J1015-5719 J1015-5719 10:15:37.9 4.0e-02 -57:19:12.8 2.0e-01 * 0 * 0 * 0 51476.00 283.088 -0.578 0.139882 4.0e-12 5.74e-14 1.2e-18 * 0 * 0 51476.00 278.10 2.0e-01 * 0 * 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * pksmb,htru_pks * -408 B1014-53 J1016-5345 10:16:31.2 1.0e-01 -53:45:13.8 6.0e-01 * 0 * 0 * 0 43558.48 281.201 2.451 0.769584 2.0e-10 1.93e-15 1.0e-17 * 0 * 0 43558.48 66.80 1.8e+00 * 0 3.50 0 0.82 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.12 * mol2,pks1,pksmb,htru_pks * -409 J1016-5819 J1016-5819 10:16:12.1 1.6e-02 -58:19:01.1 8.0e-02 * 0 * 0 * 0 51155.00 283.708 -1.363 0.087834 9.0e-13 6.98e-16 4.0e-19 * 0 * 0 51155.00 252.16 7.0e-02 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.59 * pksmb,htru_pks * -410 J1016-5857 J1016-5857 10:16:21.1 1.0e-02 -58:57:12.1 1.0e-01 * 0 * 0 * 0 52717.00 284.079 -1.880 0.107386 1.5e-12 8.08e-14 6.0e-19 * 0 * 0 52717.00 394.48 9.0e-02 * 0 * 0 0.46 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 SNR:G284.3-1.8(?) pksmb,htru_pks * - -411 B1015-56 J1017-5621 10:17:12.8 6.0e-02 -56:21:30.7 4.0e-01 * 0 * 0 * 0 43557.62 282.732 0.341 0.503459 8.0e-11 3.13e-15 4.0e-18 * 0 * 0 43557.62 438.70 5.0e-01 * 0 15.00 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.51 * mol2,pks1,pks70,pksmb,htru_pks * -412 J1017-7156 J1017-7156 10:17:51.3 2.0e-05 -71:56:41.6 1.1e-04 -7.310 6.0e-02 6.760 5.0e-02 3.900 1.2e+00 55329.10 291.558 -12.553 0.002339 4.0e-17 2.22e-21 7.0e-25 * 0 * 0 55329.10 94.22 3.0e-05 * 0 * 0 1.00 0 DD 55335.0641 3.0e-04 6.5119 2.0e-06 4.8300 1.1e-07 329.68 1.8e-02 1.420e-04 2.0e-08 * 0 * 0 * 0 0.26 * htru_pks * -413 B1016-16 J1018-1642 10:18:40.3 2.2e-02 -16:42:10.1 4.7e-01 * 0 * 0 * 0 49688.00 258.261 32.610 1.804695 1.0e-11 1.74e-15 1.0e-19 -3.300e-28 4.2e-28 * 0 49688.00 48.82 7.0e-02 * 0 5.10 8.0e-01 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2,pks70 * -414 J1019-5749 J1019-5749 10:19:52.1 4.0e-02 -57:49:05.9 5.0e-01 * 0 * 0 * 0 51371.00 283.837 -0.679 0.162499 8.0e-12 2.01e-14 3.0e-18 * 0 * 0 51371.00 1040.00 1.0e+00 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.91 * pksmb,htru_pks * -415 J1020-5921 J1020-5921 10:20:14.0 8.0e-02 -59:21:34 1.0e+00 * 0 * 0 * 0 51397.00 284.719 -1.944 1.238305 1.1e-10 4.05e-14 8.0e-17 * 0 * 0 51397.00 80.00 3.0e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.94 * pksmb,htru_pks * - -416 J1020-6026 J1020-6026 10:20:11.4 7.0e-02 -60:26:06.8 5.0e-01 * 0 * 0 * 0 53128.00 285.302 -2.848 0.140480 8.0e-12 6.74e-15 2.0e-18 * 0 * 0 53128.00 441.50 4.0e-01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.26 * pksmb,htru_pks * -417 J1021-5601 J1021-5601 10:21:24.8 1.5e-01 -56:01:50.9 1.1e+00 * 0 * 0 * 0 51875.00 283.041 0.935 0.670026 1.4e-10 5.34e-17 6.0e-18 * 0 * 0 51875.00 212.00 8.0e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pksmb * -418 J1022+1001 J1022+1001 10:22:57.9 1.2e-03 +10:01:52.7 4.7e-02 -14.860 4.0e-02 5.590 3.0e-02 1.425 2.5e-02 55000.00 231.795 51.101 0.016453 9.0e-17 4.33e-20 1.7e-24 * 0 * 0 54500.00 10.25 1.0e-04 * 0 20.00 9.0e+00 6.10 5.4e+00 DD 50246.7166 7.0e-04 7.8051 1.1e-06 16.7654 5.0e-07 97.68 3.0e-02 9.723e-05 1.4e-08 * 0 * 0 * 0 1.13 * ar4,gb4,pkshl * -419 J1022-5813 J1022-5813 10:22:28.1 2.0e-01 -58:13:30 4.0e+00 * 0 * 0 * 0 51398.00 284.347 -0.834 1.643726 5.0e-10 1.45e-13 3.0e-16 * 0 * 0 51398.00 714.00 8.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * -420 J1023+0038 J1023+0038 10:23:47.6 3.0e-05 +00:38:40.8 5.0e-04 4.760 3.0e-02 -17.340 4.0e-02 0.731 2.2e-02 54906.00 243.490 45.782 0.001688 3.0e-16 6.93e-21 9.0e-24 * 0 * 0 54906.00 14.32 1.0e-02 * 0 * 0 * 0 ELL1 54905.9714 3.0e-07 0.1981 3.0e-10 0.3433 3.0e-06 * 0 * 0 * 0 * 0 * 0 1.37 OPT:AY_Sex[asr+09],XRS:[akb+10] misc HE[jah+16,aps+17] - -421 J1023-5746 J1023-5746 10:23:02.9 5.0e-01 -57:46:05 2.0e+00 * 0 * 0 * 0 54856.00 284.166 -0.407 0.111472 9.0e-11 3.84e-13 1.3e-18 7.100e-21 2.0e-22 -1.090e-28 4.0e-30 54856.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.08 GRS:2FGL_J1022.7-5741[naa+12],GRS:HESS_J FermiBlind NRAD -422 J1024-0719 J1024-0719 10:24:38.6 6.4e-06 -07:19:19.5 2.0e-04 * 0 * 0 0.800 3.0e-01 56239.00 251.702 40.515 0.005162 3.0e-17 1.86e-20 5.0e-25 -3.500e-27 9.0e-28 * 0 56239.00 6.48 6.0e-04 * 0 4.60 1.2e+00 1.50 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 OPT:2MASS_10243869-0719190[kkn+16] pks70,pkshl HE[egc+13] -423 J1028-5819 J1028-5819 10:28:28.0 1.0e-01 -58:19:05.2 1.5e+00 * 0 * 0 * 0 54562.00 285.065 -0.496 0.091403 1.4e-09 1.61e-14 8.0e-16 * 0 * 0 54562.00 96.53 2.0e-03 * 0 * 0 0.36 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 GRS:2FGL_J1028.5-5819[naa+12] misc,htru_pks HE[aaa+09] -424 J1031-6117 J1031-6117 10:31:02.2 7.0e-02 -61:17:50.6 3.0e-01 * 0 * 0 * 0 51496.00 286.880 -2.881 0.306411 1.0e-11 1.78e-15 5.0e-18 * 0 * 0 51496.00 506.80 1.2e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.38 * pksmb * -425 J1032-5206 J1032-5206 10:32:27.6 7.0e-02 -52:06:08.5 6.0e-01 * 0 * 0 * 0 52161.00 282.354 5.128 2.407622 1.2e-10 1.79e-14 1.1e-17 * 0 * 0 52161.00 139.00 4.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * pksmb,htru_pks * - -426 B1030-58 J1032-5911 10:32:07 3.0e+00 -59:10 2.0e+01 * 0 * 0 * 0 44095.23 285.907 -0.980 0.464208 8.0e-09 3.00e-15 3.0e-15 * 0 * 0 44095.23 418.20 1.7e-01 * 0 14.00 0 0.93 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * mol2,pks70,pksmb,htru_pks * -427 J1034-3224 J1034-3224 10:34:19.5 2.3e-02 -32:24:26.0 3.2e-01 * 0 * 0 * 0 50705.00 272.050 22.117 1.150590 1.0e-11 2.30e-16 8.0e-20 3.500e-28 2.0e-27 * 0 50705.00 50.75 8.0e-02 * 0 41.00 0 4.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * pks70,pkssw * -428 J1035-6345 J1035-6345 10:35:03.0 1.0e-02 -63:45:18.4 6.0e-02 * 0 * 0 * 0 51875.00 288.528 -4.765 0.579577 6.0e-12 3.50e-16 1.2e-18 * 0 * 0 51875.00 189.70 9.0e-01 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * pksmb,htru_pks * -429 J1036-4926 J1036-4926 10:36:13.0 5.0e-03 -49:26:21.7 5.0e-02 * 0 * 0 * 0 48734.00 281.518 7.727 0.510368 8.0e-12 1.65e-15 1.0e-19 * 0 * 0 48734.00 136.53 1.0e-02 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.31 * pks70,pkssw,htru_pks,ghrss * -430 J1036-6559 J1036-6559 10:36:20.0 2.0e-02 -65:59:09.2 6.0e-02 * 0 * 0 * 0 55010.00 289.766 -6.630 0.533502 6.0e-11 1.36e-15 1.0e-18 * 0 * 0 55010.00 158.36 9.0e-02 * 0 * 0 0.27 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.05 * htru_pks * - -431 J1036-8317 J1036-8317 10:36 4.0e+00 -83:17 7.0e+00 * 0 * 0 * 0 56657.00 298.916 -21.495 0.003408 0 * 0 * 0 * 0 56657.00 27.00 0 * 0 * 0 * 0 BT * 0 0.3350 0 0.5060 0 * 0 * 0 * 0 * 0 * 0 0.93 GRS:3FGL_J1036.0-8317[aaa+15] FermiAssoc HE[ckr+15] -432 J1038+0032 J1038+0032 10:38:26.9 9.0e-03 +00:32:43.6 3.0e-01 * 0 * 0 * 0 53000.00 247.152 48.471 0.028852 8.0e-14 6.70e-20 7.0e-21 * 0 * 0 53000.00 26.59 2.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pkshl * -433 B1036-58 J1038-5831 10:38:19.7 1.0e-02 -58:31:27.1 8.0e-02 * 0 * 0 * 0 47910.63 286.284 -0.023 0.661992 1.1e-11 1.25e-15 3.0e-19 * 0 * 0 47910.63 72.74 3.0e-02 * 0 * 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * pks1,pksmb,htru_pks * -434 B1039-19 J1041-1942 10:41:36.1 5.0e-03 -19:42:13.6 1.1e-01 -1.000 3.0e+00 14.000 5.0e+00 * 0 48738.00 265.591 33.590 1.386368 3.0e-12 9.45e-16 2.0e-20 6.600e-29 1.0e-28 * 0 48738.00 33.78 1.0e-02 * 0 28.00 6.0e+00 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * mol2,pks70 * -435 B1039-55 J1042-5521 10:42:00.6 9.0e-02 -55:21:05.5 7.0e-01 * 0 * 0 * 0 43557.66 285.192 2.999 1.170859 4.0e-10 6.73e-15 1.6e-17 * 0 * 0 43557.66 306.50 4.0e-01 * 0 14.00 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.79 * mol2,pks1,pks70,pksmb,htru_pks * - -436 J1043-6116 J1043-6116 10:43:55.2 3.0e-02 -61:16:50.8 2.0e-01 * 0 * 0 * 0 51368.00 288.221 -2.106 0.288602 5.0e-12 1.04e-14 3.0e-18 * 0 * 0 51368.00 448.91 2.0e-02 * 0 * 0 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb,htru_pks * -437 J1044-5737 J1044-5737 10:44:32.8 1.0e-01 -57:37:19.3 8.0e-01 * 0 * 0 * 0 54800.00 286.574 1.163 0.139029 4.0e-11 5.46e-14 4.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 GRS:2FGL_J1044.5-5737[naa+12],GRS:1AGL_J FermiBlind NRAD -438 J1045-4509 J1045-4509 10:45:50.1 3.0e-05 -45:09:54.1 4.0e-04 -6.070 9.0e-02 5.200 1.0e-01 2.200 1.1e+00 54500.00 280.851 12.254 0.007474 8.0e-16 1.77e-20 5.0e-24 * 0 * 0 54500.00 58.14 0 -0.004 1.3e-04 15.00 3.0e+00 2.70 7.0e-01 ELL1 * 0 4.0835 3.0e-10 3.0151 3.0e-07 242.33 0.0e+00 2.367e-05 0.0e+00 50273.5070 3.0e-06 -2.096e-05 1.7e-07 -1.099e-05 1.6e-07 0.34 * pks70,pkssw,htru_pks,ghrss * -439 J1046+0304 J1046+0304 10:46:43.2 6.0e-02 +03:04:06.9 2.0e+00 * 0 * 0 * 0 53065.00 246.412 51.697 0.326271 4.0e-12 1.24e-16 4.0e-19 * 0 * 0 53065.00 25.30 5.0e-01 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.79 * pkshl * -440 B1044-57 J1046-5813 10:46:18.8 7.0e-02 -58:13:51.8 5.0e-01 * 0 * 0 * 0 43555.55 287.065 0.733 0.369427 6.0e-11 1.14e-15 3.0e-18 * 0 * 0 43555.55 240.20 5.0e-01 * 0 18.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.34 * mol2,pks1,pks70,pksmb,htru_pks * - -441 J1047-3032 J1047-3032 10:47:00.8 1.4e-02 -30:32:18.0 2.3e-01 * 0 * 0 * 0 51019.00 273.495 25.127 0.330328 1.9e-12 6.10e-17 2.0e-20 1.400e-26 7.0e-27 * 0 51019.00 52.54 7.0e-02 * 0 8.00 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * pks70 * -442 J1047-6709 J1047-6709 10:47:28.2 2.0e-03 -67:09:51.0 9.0e-03 * 0 * 0 * 0 49139.00 291.314 -7.132 0.198451 8.0e-13 1.69e-15 2.0e-20 * 0 * 0 49139.00 116.16 2.0e-03 * 0 4.00 0 4.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.76 * pks70,pkssw,htru_pks * -443 J1048+2339 J1048+2339 10:48:43.4 2.0e-04 +23:39:53.4 7.0e-03 -18.700 0 -9.400 0 * 0 56897.00 213.172 62.139 0.004665 1.6e-15 3.00e-20 1.8e-22 * 0 * 0 56897.00 16.65 1.0e-04 * 0 * 0 0.17 3.0e-03 ELL1 * 0 0.2505 6.0e-09 0.8361 3.0e-06 * 0 * 0 56637.5982 1.0e-06 * 0 * 0 2.00 GRS:3FGL_J1048.6+2338(?)[cck+16],OPT:CSS FermiAssoc HE -444 B1046-58 J1048-5832 10:48:12.2 1.0e-01 -58:32:05.8 8.0e-01 * 0 * 0 * 0 49790.00 287.425 0.577 0.123671 3.0e-12 9.63e-14 1.1e-18 -3.900e-22 4.0e-22 * 0 50889.00 128.68 4.0e-03 * 0 * 0 6.50 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 GRS:2FGL_J1048.2-5831[naa+12] pks1,pksmb,htru_pks HE[klm+00,aaa+09i] -445 J1048-5838 J1048-5838 10:48:12.5 1.4e-02 -58:38:19.0 1.0e-01 * 0 * 0 * 0 53510.00 287.473 0.485 1.231305 4.0e-12 1.22e-14 7.0e-20 * 0 * 0 53510.00 70.70 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * pksmb RRAT - -446 J1049-5833 J1049-5833 10:49:50.3 9.0e-02 -58:33:44.6 1.5e+00 * 0 * 0 * 0 51031.00 287.628 0.649 2.202325 3.0e-10 4.41e-15 1.5e-16 * 0 * 0 51031.00 446.80 1.5e+00 * 0 * 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * pksmb,htru_pks * -447 J1050-5953 J1050-5953 10:50:07.1 5.0e-02 -59:53:21.4 7.0e-01 * 0 * 0 * 0 51650.00 288.256 -0.520 6.452077 6.0e-07 3.81e-11 1.3e-13 * 0 * 0 51650.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.00 XRS:1E_1048.1-5937 misc AXP,NRAD -448 J1052-5954 J1052-5954 10:52:38.1 7.0e-02 -59:54:44.1 5.0e-01 * 0 * 0 * 0 51683.00 288.549 -0.400 0.180592 1.0e-11 2.00e-14 1.7e-18 * 0 * 0 51683.00 491.90 6.0e-01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pksmb * -449 J1052-6348 J1052-6348 10:52:53.3 6.0e-02 -63:48:16.6 3.0e-01 * 0 * 0 * 0 52477.00 290.294 -3.881 0.383830 1.5e-11 3.87e-16 6.0e-18 * 0 * 0 52477.00 167.50 1.4e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.99 * pksmb * -450 J1054-5943 J1054-5943 10:54:57.7 4.0e-02 -59:43:14.1 5.0e-01 * 0 * 0 * 0 51395.00 288.729 -0.100 0.346909 1.3e-11 4.07e-15 8.0e-18 * 0 * 0 51395.00 330.70 6.0e-01 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.58 * pksmb,htru_pks * - -451 J1054-5946 J1054-5946 10:54:30.4 1.0e-02 -59:46:31.0 1.0e-01 * 0 * 0 * 0 55337.00 288.701 -0.174 0.228324 8.0e-12 2.09e-16 3.0e-19 * 0 * 0 55337.00 253.90 6.0e-01 * 0 * 0 0.23 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * htru_pks * -452 J1054-6452 J1054-6452 10:54:08.8 1.6e-01 -64:52:37.5 8.0e-01 * 0 * 0 * 0 51875.00 290.889 -4.784 1.840004 3.0e-10 3.14e-15 5.0e-17 * 0 * 0 51875.00 234.00 4.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.34 * pksmb,htru_pks * -453 J1055-6022 J1055-6022 10:55:48.5 4.0e-01 -60:22:52 3.0e+00 * 0 * 0 * 0 52746.00 289.109 -0.650 0.947558 3.0e-10 9.24e-14 1.2e-16 * 0 * 0 52746.00 590.00 5.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 * pksmb * -454 J1055-6028 J1055-6028 10:55:39.1 2.0e-02 -60:28:37.5 2.0e-01 * 0 * 0 * 0 54362.20 289.133 -0.745 0.099661 3.0e-12 2.95e-14 5.0e-19 * 0 * 0 54362.20 636.50 1.0e-01 * 0 * 0 0.78 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.83 GRS:[hsg+14] pksmb,htru_pks HE -455 J1055-6236 J1055-6236 10:55:54.6 7.0e-02 -62:36:48.3 4.0e-01 * 0 * 0 * 0 51703.00 290.081 -2.660 0.448635 3.0e-11 7.08e-16 7.0e-18 * 0 * 0 51703.00 149.70 1.5e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * pksmb,htru_pks * - -456 J1055-6905 J1055-6905 10:55:44.7 9.0e-02 -69:05:11.4 4.0e-01 * 0 * 0 * 0 51500.00 292.879 -8.504 2.919397 3.0e-10 2.03e-14 1.5e-17 * 0 * 0 51500.00 142.80 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.03 * pkssw,htru_pks * -457 J1056-5709 J1056-5709 10:56:43.7 1.2e-01 -57:09:34.5 1.2e+00 * 0 * 0 * 0 51216.00 287.835 2.311 0.676082 8.0e-11 5.76e-16 1.4e-17 * 0 * 0 51216.00 436.50 1.8e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb * -458 B1054-62 J1056-6258 10:56:25.5 6.0e-02 -62:58:47.6 4.0e-01 * 0 * 0 * 0 46917.00 290.292 -2.966 0.422447 1.6e-11 3.58e-15 1.1e-18 * 0 * 0 46800.00 320.30 6.0e-01 * 0 45.00 0 21.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * mol2,pks1,pks70,pksmb,htru_pks * -459 J1056-7117 J1056-7117 10:56:45.9 4.0e-03 -71:17:53.3 1.4e-02 * 0 * 0 * 0 57436.50 293.933 -10.458 0.026310 7.0e-13 6.30e-20 7.0e-21 * 0 * 0 57436.50 93.04 4.0e-02 * 0 * 0 0.34 0 ELL1 * 0 9.1388 5.0e-07 4.1486 2.0e-05 153.43 0.0e+00 1.342e-05 0.0e+00 57436.5353 7.0e-05 6.000e-06 8.0e-06 -1.200e-05 1.0e-07 1.69 * htru_pks * -460 J1057-4754 J1057-4754 10:57:53.1 7.0e-03 -47:54:57.6 9.0e-02 * 0 * 0 * 0 53000.00 284.007 10.739 0.628306 7.0e-12 2.25e-16 2.0e-19 * 0 * 0 53000.00 60.00 8.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.64 * pkssw,htru_pks * - -461 B1055-52 J1057-5226 10:57:58.9 1.6e-02 -52:26:56.2 1.5e-01 42.000 5.0e+00 -3.000 5.0e+00 * 0 54530.00 285.984 6.649 0.197108 1.5e-11 5.83e-15 7.0e-19 * 0 * 0 43555.62 29.69 1.0e-02 * 0 80.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.09 XRS:[of93],GRS:2FGL_J1057.9-5226[naa+12] mol1,mol2,pks70,pkssw,htru_pks HE[aaa+10m] -462 J1057-5851 J1057-5851 10:57:09.5 2.0e-01 -58:51:07 2.0e+00 * 0 * 0 * 0 55716.00 288.609 0.805 0.620365 1.2e-10 1.01e-13 4.0e-18 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1056.7-5853[aaa+15] FermiBlind NRAD -463 B1056-78 J1057-7914 10:57:27.4 3.0e-01 -79:14:24.2 6.0e-01 * 0 * 0 * 0 43558.50 297.571 -17.574 1.347402 4.0e-10 1.33e-15 1.6e-17 * 0 * 0 43558.50 51.00 2.0e+00 * 0 6.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.44 * mol2,pks70 * -464 J1058-5957 J1058-5957 10:58:34.2 3.0e-02 -59:57:36.4 3.0e-01 * 0 * 0 * 0 51446.00 289.241 -0.123 0.616270 1.6e-11 6.57e-16 4.0e-18 * 0 * 0 51446.00 334.00 1.1e+00 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.59 * pksmb,htru_pks * -465 B1056-57 J1059-5742 10:59:00.9 6.0e-02 -57:42:14.2 4.0e-01 * 0 * 0 * 0 47688.47 288.345 1.948 1.184999 3.0e-11 4.30e-15 1.0e-18 * 0 * 0 47688.47 108.70 3.0e-01 * 0 19.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * mol2,pks1,pks70,pksmb,htru_pks * - -466 J1101-6101 J1101-6101 11:01:44.9 9.0e-02 -61:01:39.6 7.0e-01 * 0 * 0 * 0 56494.00 290.040 -0.932 0.062800 6.0e-09 8.56e-15 6.0e-16 * 0 * 0 56494.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 SNR:G290.1-0.8(MSH_11-61A)[htg+14] misc NRAD -467 J1101-6424 J1101-6424 11:01:37.1 5.0e-04 -64:24:39.3 2.0e-03 * 0 * 0 * 0 56597.00 291.417 -4.023 0.005109 2.0e-15 1.80e-21 2.0e-22 * 0 * 0 56597.00 207.00 0 * 0 * 0 0.27 0 ELL1 * 0 9.6117 3.0e-07 14.0247 3.0e-05 85.53 0.0e+00 2.568e-05 0.0e+00 55689.0079 3.0e-05 2.560e-05 1.3e-06 2.000e-06 1.2e-06 2.17 * htru_pks * -468 J1101+65 J1101+65 11:02 3.0e+00 +65:07 1.8e+01 * 0 * 0 * 0 56292.00 139.820 48.266 3.631320 5.3e-04 * 0 * 0 * 0 56292.00 19.00 3.0e+00 * 0 10.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * gbncc * -469 J1103-5403 J1103-5403 11:03:33.2 3.0e-03 -54:03:43.2 1.6e-02 * 0 * 0 * 0 55300.00 287.421 5.529 0.003393 4.0e-14 3.68e-21 1.0e-21 * 0 * 0 55300.00 103.92 3.0e-03 * 0 * 0 0.18 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 GRS:2FGL_J1103.9-5356[naa+12] FermiAssoc HE[kjr+11] -470 J1103-6025 J1103-6025 11:03:31.4 2.0e-02 -60:25:36.3 9.0e-02 * 0 * 0 * 0 51489.00 289.994 -0.294 0.396587 5.0e-12 9.90e-16 1.9e-18 * 0 * 0 51489.00 275.90 3.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.38 * pksmb,htru_pks * - -471 J1104-6103 J1104-6103 11:04:17.2 1.1e-02 -61:03:03.8 8.0e-02 * 0 * 0 * 0 49177.00 290.331 -0.828 0.280905 1.8e-12 1.97e-15 2.0e-19 * 0 * 0 49177.00 78.51 1.5e-02 * 0 5.00 1.0e-01 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * misc,pksmb,htru_pks * -472 J1105-43 J1105-43 11:05:24 0 -43:57:01 0 * 0 * 0 * 0 55561.00 283.511 14.886 0.351100 0 * 0 * 0 * 0 55561.00 45.50 1.0e+00 * 0 * 0 0.17 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.14 * htru_pks * -473 J1105-6037 J1105-6037 11:05:00.4 4.0e-02 -60:37:16.3 3.0e-01 * 0 * 0 * 0 55716.00 290.239 -0.399 0.194938 4.0e-12 2.18e-14 8.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1104.9-6036[aaa+15] FermiBlind NRAD -474 J1105-6107 J1105-6107 11:05:26.1 4.0e-02 -61:07:51.4 3.0e-01 * 0 * 0 * 0 49789.00 290.490 -0.846 0.063193 8.0e-12 1.58e-14 4.0e-19 -5.400e-23 1.8e-25 * 0 50794.00 271.24 1.0e-02 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.36 XRS:PWN[gk98] misc,pksmb,htru_pks * -475 J1106-6438 J1106-6438 11:06:28.4 1.4e-01 -64:39:00.0 6.0e-01 * 0 * 0 * 0 51875.00 291.992 -4.031 2.717934 3.0e-10 2.33e-15 7.0e-17 * 0 * 0 51875.00 203.00 3.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * pksmb,htru_pks * - -476 J1107-5907 J1107-5907 11:07:34.4 4.0e-02 -59:07:18.7 3.0e-01 * 0 * 0 * 0 53089.00 289.944 1.106 0.252773 6.0e-12 9.01e-18 1.0e-18 * 0 * 0 53089.00 40.20 1.1e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.11 * pksmb,htru_pks * -477 B1105-59 J1107-5947 11:07:58.7 3.0e-01 -59:47:04 3.0e+00 * 0 * 0 * 0 43558.51 290.249 0.515 1.516531 1.2e-09 3.40e-16 5.0e-17 * 0 * 0 43558.51 158.40 1.1e+00 * 0 7.00 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * mol2,pks70,pksmb,htru_pks * -478 J1107-6143 J1107-6143 11:07:12.3 2.0e-01 -61:43:59 3.0e+00 * 0 * 0 * 0 51397.00 290.921 -1.316 1.799396 4.0e-10 1.56e-13 2.0e-16 * 0 * 0 51397.00 406.00 3.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.94 * pksmb,htru_pks * -479 B1107-56 J1110-5637 11:10:00.4 2.0e-02 -56:37:32.9 2.0e-01 * 0 * 0 * 0 48338.54 289.279 3.533 0.558253 7.0e-12 2.06e-15 5.0e-19 * 0 * 0 48338.54 262.56 6.0e-02 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.45 * pks1,pks70,pksmb,htru_pks * -480 J1110+58 J1110+58 11:11 3.0e+00 +58:52 1.8e+01 * 0 * 0 * 0 56292.00 144.740 53.801 0.793348 2.1e-05 * 0 * 0 * 0 56292.00 26.00 1.0e+00 * 0 1.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gbncc * - -481 J1112-6103 J1112-6103 11:12:14.8 4.0e-02 -61:03:31.1 6.0e-01 * 0 * 0 * 0 51055.00 291.221 -0.462 0.064962 3.0e-12 3.15e-14 1.3e-18 * 0 * 0 51055.00 599.10 7.0e-01 * 0 * 0 1.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 XRS:[pb15] pksmb,htru_pks * -482 B1110-65 J1112-6613 11:12:38.5 9.0e-02 -66:13:04.8 5.0e-01 * 0 * 0 * 0 43555.62 293.190 -5.233 0.334213 6.0e-11 8.24e-16 3.0e-18 * 0 * 0 43555.62 249.30 1.0e+00 * 0 19.00 3.0e+00 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * mol2,pks70,pkssw,pksmb,htru_pks * -483 B1110-69 J1112-6926 11:12:51.0 1.0e-01 -69:26:31.0 5.0e-01 * 0 * 0 * 0 43557.68 294.423 -8.215 0.820484 1.6e-10 2.84e-15 8.0e-18 * 0 * 0 43557.68 148.40 1.0e+00 * 0 13.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.08 * mol2,pks70,pkssw,htru_pks * -484 B1112-60 J1114-6100 11:14:22.5 2.0e-02 -61:00:34.2 1.0e-01 * 0 * 0 * 0 47910.64 291.443 -0.322 0.880820 2.0e-11 4.61e-14 6.0e-19 * 0 * 0 47910.64 677.00 4.0e-01 * 0 * 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.48 * pks1,pksmb,htru_pks * -485 B1112+50 J1115+5030 11:15:38.4 5.0e-03 +50:30:12.2 5.0e-02 22.000 3.0e+00 -51.000 3.0e+00 * 0 49334.00 154.408 60.365 1.656440 3.0e-12 2.49e-15 2.0e-20 -1.400e-28 1.2e-28 * 0 49334.00 9.19 2.6e-04 * 0 12.00 2.0e+00 3.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * gb1,gb2,gb4,gbncc * - -486 J1115-6052 J1115-6052 11:15:53.6 3.0e-02 -60:52:17.8 5.0e-01 * 0 * 0 * 0 51031.00 291.564 -0.126 0.259777 9.0e-12 7.23e-15 5.0e-18 * 0 * 0 51031.00 226.92 5.0e-02 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.18 * pksmb,htru_pks * -487 B1114-41 J1116-4122 11:16:43.0 1.0e-02 -41:22:43.9 1.0e-01 -1.000 5.0e+00 7.000 2.0e+01 * 0 51360.00 284.451 18.069 0.943158 7.0e-12 7.95e-15 4.0e-19 * 0 * 0 48383.00 40.53 3.0e-02 * 0 26.00 0 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.28 * mol2,pks70,pkssw * -488 J1117-6154 J1117-6154 11:17:23.8 9.0e-02 -61:54:22 1.0e+00 * 0 * 0 * 0 51397.00 292.102 -1.028 0.505097 5.0e-11 1.25e-14 3.0e-17 * 0 * 0 51397.00 493.60 9.0e-01 * 0 * 0 0.68 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * pksmb,htru_pks * -489 J1117-6447 J1117-6447 11:17:45.0 4.0e-01 -64:47:58 2.0e+00 * 0 * 0 * 0 51703.00 293.167 -3.719 1.155272 3.0e-10 2.40e-16 7.0e-17 * 0 * 0 51703.00 303.00 6.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * pksmb * -490 J1119-6127 J1119-6127 11:19:14.3 2.0e-02 -61:27:49.5 2.0e-01 * 0 * 0 * 0 52109.85 292.151 -0.537 0.407963 9.0e-11 4.02e-12 1.7e-18 6.389e-22 4.0e-25 * 0 52109.85 704.80 2.0e-01 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.40 SNR:G292.2-0.5[cgk+01] pksmb,htru_pks HE[gkc+07] - -491 B1118-79 J1119-7936 11:19:40.8 3.0e-01 -79:36:30.3 8.0e-01 * 0 * 0 * 0 43557.71 298.705 -17.498 2.280597 7.0e-10 3.67e-15 4.0e-17 * 0 * 0 43557.71 27.40 1.4e+00 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * mol2 * -492 J1120-3618 J1120-3618 11:20:22.4 9.0e-02 -36:18:32.2 2.2e+00 * 0 * 0 * 0 55927.00 283.125 23.036 0.005550 0 * 0 * 0 * 0 55927.00 45.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.95 * misc * -493 B1119-54 J1121-5444 11:21:19.1 1.4e-02 -54:44:05.5 2.0e-01 * 0 * 0 * 0 43556.75 290.083 5.873 0.535783 3.0e-11 2.77e-15 1.2e-18 * 0 * 0 43556.75 204.70 6.0e-01 * 0 24.00 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.32 * mol2,pks70,pksmb,pkssw,htru_pks * -494 J1123-4844 J1123-4844 11:23:15.6 2.0e-03 -48:44:22.7 4.0e-02 * 0 * 0 * 0 49542.28 288.295 11.610 0.244838 7.0e-12 6.54e-17 2.0e-19 * 0 * 0 49542.28 92.92 3.0e-03 * 0 8.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.86 * pks70,pkssw,htru_pks * -495 J1123-6102 J1123-6102 11:23:41.7 6.0e-02 -61:02:06.2 3.0e-01 * 0 * 0 * 0 51155.00 292.509 0.049 0.640234 3.0e-11 6.46e-15 8.0e-18 * 0 * 0 51155.00 439.40 4.0e-01 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 * pksmb,htru_pks * - -496 J1123-6259 J1123-6259 11:23:55.5 1.2e-02 -62:59:10.7 9.0e-02 * 0 * 0 * 0 50432.00 293.183 -1.783 0.271434 3.0e-12 5.25e-15 8.0e-20 * 0 * 0 50432.00 223.26 3.0e-02 * 0 11.00 0 0.56 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * pks70,pksmb,htru_pks * -497 J1123-6651 J1123-6651 11:23:52.2 5.0e-03 -66:51:49.0 2.0e-02 * 0 * 0 * 0 49139.00 294.469 -5.442 0.232976 2.0e-12 2.75e-15 3.0e-20 * 0 * 0 49139.00 111.20 5.0e-03 * 0 8.00 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * pks70,pksmb,htru_pks * -498 J1124-3653 J1124-3653 11:24 0 -36:00 0 * 0 * 0 * 0 55196.00 283.742 23.592 0.002410 0 * 0 * 0 * 0 55196.00 44.90 0 * 0 0.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 GRS:2FGL_J1124.2-3654[naa+12] FermiAssoc HE -499 J1124-5638 J1124-5638 11:24:56.4 6.0e-02 -56:38:39.7 5.0e-01 * 0 * 0 * 0 51752.00 291.209 4.246 0.185560 1.1e-11 9.00e-18 5.0e-18 * 0 * 0 51752.00 289.50 1.6e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 * pksmb,htru_pks * -500 J1124-5916 J1124-5916 11:24:39.0 1.0e-01 -59:16:19 1.0e+00 * 0 * 0 * 0 54683.28 292.038 1.752 0.135477 1.7e-10 7.53e-13 1.7e-17 -8.600e-22 4.0e-23 * 0 54683.28 330.00 2.0e+00 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 SNR:G292.0+1.8,GRS:2FGL_J1124.6-5913[naa misc HE[hsp+03] - -501 J1124-6421 J1124-6421 11:24:59.5 1.0e-01 -64:21:17 1.0e+00 * 0 * 0 * 0 51400.00 293.747 -3.036 0.479099 7.0e-11 6.20e-16 3.0e-17 * 0 * 0 51400.00 298.00 3.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * pksmb,htru_pks * -502 J1125-5825 J1125-5825 11:25:44.3 5.0e-05 -58:25:16.8 4.0e-04 -10.000 3.0e-01 2.400 3.0e-01 * 0 55126.30 291.893 2.602 0.003102 1.6e-16 6.09e-20 2.0e-24 * 0 * 0 55126.30 124.79 8.0e-04 * 0 * 0 0.86 0 DD 55181.5562 1.5e-03 76.4032 5.0e-08 33.6384 8.0e-07 260.13 7.0e-03 2.572e-04 3.0e-08 * 0 * 0 * 0 1.74 GRS:2FGL_J1125.0-5821[kjb+12] htru_pks HE -503 J1125-6014 J1125-6014 11:25:55.2 4.0e-04 -60:14:06.6 4.0e-03 * 0 * 0 * 0 53141.00 292.504 0.894 0.002630 8.0e-16 4.01e-21 9.0e-23 * 0 * 0 53141.00 52.95 1.4e-02 * 0 * 0 0.05 0 ELL1 * 0 8.7526 5.0e-08 8.3392 5.0e-06 273.58 0.0e+00 8.016e-07 0.0e+00 53171.5856 1.1e-06 -8.000e-07 1.3e-07 5.000e-08 1.2e-06 0.99 * pksmb,htru_pks * -504 J1125+7819 J1125+7819 11:25:59.8 1.1e-04 +78:19:48.7 3.1e-04 * 0 * 0 11.000 8.0e+00 57017.00 128.289 37.895 0.004202 1.8e-16 6.96e-21 1.8e-23 * 0 * 0 57017.00 11.73 1.5e-01 * 0 17.10 0 * 0 ELL1 * 0 15.3554 1.3e-08 12.1924 7.0e-07 274.55 0.0e+00 1.286e-05 0.0e+00 57017.3813 1.6e-07 -1.282e-05 1.6e-07 1.020e-06 1.9e-07 0.88 * gbncc * -505 J1126-27 J1126-27 11:26 2.0e+00 -27:37 3.6e+01 * 0 * 0 * 0 56657.00 280.682 31.537 0.358161 8.0e-06 * 0 * 0 * 0 56657.00 26.86 7.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.44 * gbncc RRAT - -506 J1126-38 J1126-38 11:26:18 3.0e+01 -38:38 7.0e+00 * 0 * 0 * 0 57388.00 285.214 21.292 0.887550 1.0e-05 * 0 * 0 * 0 57388.00 46.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * pks_superb * -507 B1124-60 J1126-6054 11:26:52.6 1.1e-02 -60:54:39.9 7.0e-02 * 0 * 0 * 0 47909.90 292.834 0.292 0.202737 3.0e-12 2.81e-16 8.0e-20 * 0 * 0 47909.90 280.27 3.0e-02 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pks1,pksmb,htru_pks * -508 J1126-6942 J1126-6942 11:26:21.6 2.0e-02 -69:42:15.3 2.0e-01 * 0 * 0 * 0 49524.42 295.631 -8.048 0.579416 2.0e-10 3.30e-15 4.0e-18 * 0 * 0 49524.42 55.33 2.0e-02 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.18 * pks70,pkssw,htru_pks * -509 J1128-6219 J1128-6219 11:28:46.7 2.0e-01 -62:19:09 2.0e+00 * 0 * 0 * 0 51660.00 293.495 -0.972 0.515984 1.1e-10 1.10e-17 5.0e-18 * 0 * 0 51660.00 675.00 9.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.40 * pksmb,htru_pks * -510 J1129-53 J1129-53 11:29:21 3.6e+01 -53:31 1.5e+01 * 0 * 0 * 0 54831.00 290.798 7.410 1.062880 5.0e-06 * 0 * 0 * 0 54831.00 77.00 2.5e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * pkssw RRAT - -511 J1130-5826 J1130-5826 11:30:16.3 3.0e-02 -58:26:02.3 3.0e-01 * 0 * 0 * 0 51696.00 292.460 2.778 0.162323 3.0e-12 1.59e-17 1.9e-19 * 0 * 0 51696.00 261.10 7.0e-01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.41 * pksmb * -512 J1130-5925 J1130-5925 11:30:10.4 1.0e-01 -59:25:34.1 7.0e-01 * 0 * 0 * 0 51172.00 292.755 1.830 0.680984 6.0e-11 9.52e-16 7.0e-18 * 0 * 0 51172.00 264.40 1.6e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * pksmb * -513 J1130-6807 J1130-6807 11:30:31.9 3.0e-03 -68:07:28.5 2.0e-02 * 0 * 0 * 0 50145.25 295.484 -6.431 0.256353 8.0e-13 4.60e-16 2.0e-20 * 0 * 0 50145.25 148.73 4.0e-03 * 0 8.00 0 0.55 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.97 * pks70,htru_pks * -514 J1132-46 J1132-46 11:32:33 0 -46:55:06 0 * 0 * 0 * 0 55561.00 289.200 13.839 0.325400 0 * 0 * 0 * 0 55561.00 120.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 * htru_pks * -515 J1132-5627 J1132-5627 11:32:15.7 4.0e-02 -56:27:28.9 7.0e-01 * 0 * 0 * 0 52165.00 292.110 4.741 0.175166 1.0e-11 6.80e-17 4.0e-18 * 0 * 0 52165.00 305.70 8.0e-01 * 0 * 0 0.09 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.91 * pksmb,htru_pks * - -516 B1131-62 J1133-6250 11:33:51.4 7.0e-02 -62:50:50.6 4.0e-01 * 0 * 0 * 0 50013.17 294.213 -1.296 1.022875 9.0e-11 4.52e-16 2.0e-18 * 0 * 0 50013.17 567.80 5.0e-01 * 0 * 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.45 * pks1,pksmb,htru_pks * -517 J1135-49 J1135-49 11:35:56 4.2e+01 -49:25:31 4.2e+02 * 0 * 0 * 0 * 290.526 11.619 * 0 * 0 * 0 * 0 * 114.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.13 * htru_pks RRAT -518 J1135-6055 J1135-6055 11:35 0 -60:55 0 * 0 * 0 * 0 55000.00 293.775 0.589 0.114943 0 7.93e-14 0 * 0 * 0 55000.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -519 B1133+16 J1136+1551 11:36:03.2 1.8e-03 +15:51:04.4 5.0e-02 -74.000 4.0e-01 368.100 3.0e-01 2.800 1.6e-01 46407.00 241.902 69.195 1.187913 3.0e-12 3.73e-15 9.0e-21 8.700e-28 5.0e-29 * 0 46407.00 4.84 3.4e-04 * 0 257.00 5.3e+01 32.00 5.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.35 XRS:[kpg06a] misc,mol2,ar4,gb4 * -520 B1133-55 J1136-5525 11:36:02.1 8.0e-02 -55:25:08.3 8.0e-01 * 0 * 0 * 0 46800.00 292.308 5.890 0.364706 2.0e-11 8.22e-15 1.5e-18 * 0 * 0 46800.00 85.50 7.0e-01 * 0 23.00 0 4.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * mol2,pks70,pkssw,htru_pks * - -521 J1137-6700 J1137-6700 11:37:32.0 1.0e-02 -67:00:33.0 8.0e-02 * 0 * 0 * 0 49139.00 295.793 -5.167 0.556216 2.0e-11 7.17e-17 4.0e-19 * 0 * 0 49139.00 228.04 9.0e-03 * 0 14.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 * pks70,pksmb,htru_pks * -522 J1138-6207 J1138-6207 11:38:21.6 3.0e-02 -62:07:59.3 3.0e-01 * 0 * 0 * 0 51171.00 294.506 -0.463 0.117564 3.0e-12 1.25e-14 5.0e-19 * 0 * 0 51171.00 520.40 4.0e-01 * 0 * 0 0.49 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 * pksmb,htru_pks * -523 J1141-3107 J1141-3107 11:41:25.6 1.0e-02 -31:07:52.6 2.0e-01 * 0 * 0 * 0 49765.90 285.746 29.393 0.538432 4.0e-12 1.96e-15 2.0e-19 * 0 * 0 49765.90 30.77 3.0e-02 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.78 * pks70,pkssw * -524 J1141-3322 J1141-3322 11:41:42.7 4.1e-03 -33:22:37.4 6.4e-02 * 0 * 0 * 0 51019.00 286.586 27.272 0.291468 4.0e-12 4.63e-16 5.0e-20 -3.090e-25 1.8e-26 * 0 51019.00 46.45 1.7e-02 * 0 8.00 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.85 * pks70,pkssw * -525 J1141-6545 J1141-6545 11:41:07.0 2.0e-04 -65:45:19.1 1.5e-03 * 0 * 0 * 0 54637.00 295.791 -3.863 0.393899 7.0e-13 4.31e-15 1.3e-19 * 0 * 0 54637.00 116.08 1.0e-03 * 0 * 0 3.30 5.0e-01 DD 51369.8546 9.0e-07 0.1977 1.0e-10 1.8589 6.0e-06 42.46 1.6e-03 1.719e-01 2.0e-06 * 0 * 0 * 0 3.00 OPT:[abw+11] pksmb,htru_pks * - -526 J1142+0119 J1142+0119 11:42 0 +01:19 0 * 0 * 0 * 0 55561.00 267.202 59.283 0.005070 0 * 0 * 0 * 0 55561.00 19.20 0 * 0 * 0 * 0 BT * 0 1.5800 0 * 0 * 0 * 0 * 0 * 0 * 0 2.18 GRS:2FGL_J1142.9+0121[naa+12] FermiAssoc * -527 J1142-6230 J1142-6230 11:42:52.5 3.0e-01 -62:30:03.9 1.0e+00 * 0 * 0 * 0 51137.00 295.110 -0.675 0.558383 1.0e-10 7.79e-17 3.5e-17 * 0 * 0 51137.00 343.80 1.7e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.48 * pksmb,htru_pks * -528 J1143-5158 J1143-5158 11:43:15.0 5.0e-03 -51:58:39.8 5.0e-02 * 0 * 0 * 0 48917.00 292.383 9.492 0.675646 8.0e-12 6.95e-16 2.0e-19 * 0 * 0 48917.00 159.03 2.0e-02 * 0 7.00 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * pks70,htru_pks,ghrss * -529 J1143-5536 J1143-5536 11:43:09.7 2.0e-02 -55:36:04.5 1.0e-01 * 0 * 0 * 0 55213.00 293.334 5.993 0.685358 4.0e-11 4.85e-16 2.0e-18 * 0 * 0 55213.00 185.00 1.0e-01 * 0 * 0 0.25 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.22 * htru_pks * -530 J1144-6146 J1144-6146 11:44:34.8 3.0e-01 -61:46:49 3.0e+00 * 0 * 0 * 0 51032.00 295.116 0.073 0.987783 1.6e-10 -3.81e-17 8.9e-17 * 0 * 0 51032.00 78.70 1.3e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 * pksmb,htru_pks * - -531 J1144-6217 J1144-6217 11:44:02.1 5.0e-02 -62:17:30.3 4.0e-01 * 0 * 0 * 0 51110.00 295.186 -0.438 0.850665 4.0e-11 3.08e-14 7.0e-18 * 0 * 0 51110.00 284.70 6.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.65 * pksmb,htru_pks * -532 B1143-60 J1146-6030 11:46:07.7 4.0e-02 -60:30:59.4 3.0e-01 * 0 * 0 * 0 43555.65 294.977 1.343 0.273372 3.0e-11 1.79e-15 1.1e-18 * 0 * 0 43555.65 111.68 7.0e-02 * 0 17.00 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * mol2,pks1,pks70,pksmb,htru_pks * -533 J1147-66 J1147-66 11:47 0 -66 0 * 0 * 0 * 0 56158.00 296.436 -3.944 0.003720 0 * 0 * 0 * 0 56158.00 133.80 0 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * pksmb * -534 J1148-5725 J1148-5725 11:48:28.5 1.9e-01 -57:25:12.6 1.7e+00 * 0 * 0 * 0 52837.00 294.507 4.418 3.559937 7.0e-10 1.11e-14 1.3e-16 * 0 * 0 52837.00 174.00 5.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.06 * pksmb * -535 J1148-6415 J1148-6415 11:48:37.8 5.0e-01 -64:15:33 3.0e+00 * 0 * 0 * 0 51474.00 296.177 -2.214 3.241029 8.0e-10 2.70e-15 4.0e-16 * 0 * 0 51474.00 241.00 6.0e+00 * 0 * 0 0.06 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.45 * pksmb * - -536 J1151-6108 J1151-6108 11:51:56.8 2.0e-02 -61:08:17.6 3.0e-01 * 0 * 0 * 0 56714.00 295.814 0.909 0.101633 2.0e-12 1.03e-14 1.0e-18 * 0 * 0 56714.00 216.00 1.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.22 * htru_pks * -537 J1152-5800 J1152-5800 11:52:10.0 4.0e-01 -58:00:34 4.0e+00 * 0 * 0 * 0 52746.00 295.126 3.961 1.789829 5.0e-10 1.28e-15 3.0e-16 * 0 * 0 52746.00 191.00 7.0e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.16 * pksmb * -538 J1152-6012 J1152-6012 11:52:53.8 1.0e-01 -60:12:21 1.0e+00 * 0 * 0 * 0 51397.00 295.716 1.843 0.376570 5.0e-11 6.69e-15 1.9e-17 * 0 * 0 51397.00 74.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * pksmb,htru_pks * -539 J1153-21 J1153-21 11:53 2.0e+00 -21:18 3.6e+01 * 0 * 0 * 0 56657.00 285.188 39.550 2.343480 5.0e-05 * 0 * 0 * 0 56657.00 34.80 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * gbncc RRAT -540 J1154-6250 J1154-6250 11:54:20.1 1.0e-01 -62:50:02.7 7.0e-01 * 0 * 0 * 0 51464.00 296.467 -0.681 0.282012 3.0e-11 5.59e-16 5.0e-18 * 0 * 0 51464.00 74.00 6.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * pksmb * - -541 J1156-5707 J1156-5707 11:56:07.4 4.0e-02 -57:07:01.9 5.0e-01 * 0 * 0 * 0 52149.00 295.448 4.949 0.288409 8.0e-12 2.65e-14 5.0e-18 * 0 * 0 52149.00 243.20 1.0e-01 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.85 * pksmb * -542 J1156-5909 J1156-5909 11:56:21.5 1.0e-01 -59:09:12.3 3.0e-01 * 0 * 0 * 0 49314.78 295.912 2.966 1.037931 9.0e-10 1.02e-15 2.0e-17 * 0 * 0 49314.78 219.20 1.0e-01 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.33 * pks70 * -543 J1157-5112 J1157-5112 11:57:08.1 1.0e-03 -51:12:56.1 3.0e-02 * 0 * 0 * 0 51400.00 294.325 10.746 0.043589 1.2e-13 1.43e-19 1.0e-20 * 0 * 0 51400.00 39.67 4.0e-02 * 0 * 0 * 0 ELL1 * 0 3.5074 3.0e-08 14.2863 3.0e-05 143.39 0.0e+00 4.024e-04 0.0e+00 51216.4443 1.3e-06 2.400e-04 4.0e-06 -3.230e-04 4.0e-06 0.96 * pkssw * -544 B1154-62 J1157-6224 11:57:15.2 1.6e-02 -62:24:50.8 1.3e-01 * 0 * 0 * 0 46901.00 296.705 -0.199 0.400522 4.0e-12 3.93e-15 3.0e-19 * 0 * 0 46800.00 325.20 5.0e-01 * 0 145.00 0 5.90 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -545 J1159-6409 J1159-6409 11:59:21.7 1.0e-01 -64:09:57 1.0e+00 * 0 * 0 * 0 51767.00 297.295 -1.865 0.667486 6.0e-11 2.40e-17 4.0e-18 * 0 * 0 51767.00 178.00 5.0e+00 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.04 * pksmb,htru_pks * - -546 J1159-7910 J1159-7910 11:59:35.7 8.0e-02 -79:10:05.6 3.0e-01 * 0 * 0 * 0 49524.41 300.412 -16.551 0.525074 3.0e-10 2.82e-15 6.0e-18 * 0 * 0 49524.41 59.24 2.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.61 * pks70,pkssw * -547 J1201-6306 J1201-6306 12:01:23.0 1.0e-02 -63:06:59.5 8.0e-01 * 0 * 0 * 0 51676.00 297.309 -0.793 0.592136 5.0e-11 3.56e-15 1.1e-17 * 0 * 0 51676.00 683.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.54 * pksmb * -548 B1159-58 J1202-5820 12:02:28.4 1.6e-02 -58:20:33.4 2.0e-01 * 0 * 0 * 0 43555.69 296.528 3.919 0.452801 1.9e-11 2.13e-15 9.0e-19 * 0 * 0 43555.69 145.41 1.9e-01 * 0 23.00 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.89 * mol2,pks1,pks70,pksmb,htru_pks * -549 J1204-6843 J1204-6843 12:04:36.7 1.0e-02 -68:43:17.1 8.0e-02 * 0 * 0 * 0 51500.00 298.684 -6.237 0.308861 1.9e-12 2.17e-16 1.9e-19 * 0 * 0 51500.00 133.93 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * pkssw,htru_pks * -550 J1207-5050 J1207-5050 12:07:21.8 4.0e-02 -50:50:30.3 1.4e+00 * 0 * 0 * 0 55561.00 295.859 11.424 0.004840 0 * 0 * 0 * 0 55561.00 50.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 GRS:2FGL_J1207.3-5055[naa+12] FermiAssoc * - -551 J1208-6238 J1208-6238 12:08:13.9 6.0e-02 -62:38:03.3 4.0e-01 * 0 * 0 * 0 56040.00 297.990 -0.178 0.440591 1.4e-11 3.27e-12 1.0e-18 3.200e-22 1.0e-23 * 0 56040.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1208.4-6239[aaa+15] FermiBlind NRAD -552 J1210-5226 J1210-5226 12:10:00.9 7.0e-02 -52:26:28.4 6.0e-01 * 0 * 0 * 0 53562.00 296.545 9.916 0.424131 1.2e-11 2.22e-17 1.7e-19 * 0 * 0 53562.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 SNR:G296.5+10.0,XRS:1E_1207.4-5209 misc NRAD -553 J1210-5559 J1210-5559 12:10:05.9 2.0e-03 -55:59:03.9 2.0e-02 * 0 * 0 * 0 49020.00 297.136 6.421 0.279767 9.0e-13 7.26e-16 2.0e-20 * 0 * 0 49020.00 174.35 3.0e-03 * 0 23.00 0 2.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.37 * pks70,pkssw,htru_pks * -554 J1210-6550 J1210-6550 12:10:42.0 3.0e-01 -65:50:04.6 1.9e+00 * 0 * 0 * 0 52499.00 298.774 -3.292 4.237010 1.8e-09 4.31e-16 1.1e-16 * 0 * 0 52499.00 37.00 6.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * pksmb * -555 J1211-6324 J1211-6324 12:11:24.1 7.0e-02 -63:24:45.2 5.0e-01 * 0 * 0 * 0 51489.00 298.470 -0.888 0.433084 1.7e-11 2.57e-16 8.0e-18 * 0 * 0 51489.00 333.80 1.1e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.05 * pksmb,htru_pks * - -556 J1214-5830 J1214-5830 12:14:08.4 2.0e-02 -58:30:25.9 1.0e-01 * 0 * 0 * 0 51546.00 298.065 4.012 0.909823 4.0e-11 5.34e-17 1.5e-18 * 0 * 0 51546.00 141.10 7.0e-01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * pksmb,htru_pks * -557 J1215-5328 J1215-5328 12:15:00.6 7.0e-02 -53:28:31.6 7.0e-01 * 0 * 0 * 0 51500.00 297.459 9.009 0.636414 5.0e-11 1.15e-16 4.0e-18 * 0 * 0 51500.00 163.00 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.28 * pkssw,htru_pks * -558 J1216-50 J1216-50 12:16:20 4.4e+01 -50:27:01 4.2e+02 * 0 * 0 * 0 55196.00 297.231 12.032 6.355000 9.0e-03 * 0 * 0 * 0 55196.00 110.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.30 * htru_pks RRAT -559 J1216-6223 J1216-6223 12:16:41.8 1.2e-01 -62:23:57.8 9.0e-01 * 0 * 0 * 0 51111.00 298.920 0.201 0.374047 5.0e-11 1.68e-14 7.0e-18 * 0 * 0 51111.00 790.00 1.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.27 * pksmb * -560 J1216-6410 J1216-6410 12:16:07.3 9.0e-04 -64:10:09.2 8.0e-03 * 0 * 0 * 0 53391.00 299.096 -1.561 0.003539 3.0e-15 1.62e-21 1.9e-22 * 0 * 0 53391.00 47.40 3.0e-02 * 0 * 0 0.05 0 ELL1 * 0 4.0367 6.0e-08 2.9371 7.0e-06 176.73 0.0e+00 7.011e-06 0.0e+00 53055.3611 2.0e-06 4.000e-07 6.0e-06 -7.000e-06 6.0e-07 1.10 * pksmb,htru_pks * - -561 J1220-6318 J1220-6318 12:20:17.8 1.3e-01 -63:18:46.5 1.0e+00 * 0 * 0 * 0 51216.00 299.444 -0.652 0.789212 8.0e-11 8.03e-17 1.2e-17 * 0 * 0 51216.00 347.00 3.0e+00 * 0 * 0 0.68 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.95 * pksmb,htru_pks * -562 J1222-5738 J1222-5738 12:22:52.3 3.0e-01 -57:38:20 1.0e+00 * 0 * 0 * 0 51587.00 299.102 5.020 1.081164 1.3e-09 1.50e-16 5.0e-17 * 0 * 0 51587.00 74.00 6.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.41 * pksmb * -563 J1224-6208 J1224-6208 12:24:44.2 8.0e-02 -62:08:41.1 7.0e-01 * 0 * 0 * 0 51111.00 299.818 0.565 0.585761 4.0e-11 2.02e-14 1.1e-17 * 0 * 0 51111.00 454.20 7.0e-01 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.88 * pksmb,htru_pks * -564 B1221-63 J1224-6407 12:24:22.1 9.0e-03 -64:07:53.9 7.0e-02 * 0 * 0 * 0 46916.00 299.984 -1.415 0.216476 1.4e-12 4.95e-15 9.0e-20 * 0 * 0 46800.00 97.69 4.0e-03 * 0 48.00 0 3.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 XRS:[pb15] misc,mol2,pks1,pks70,pksmb,htru_pks HE[lsg+15] -565 J1225-5556 J1225-5556 12:25:43.8 4.0e-03 -55:56:43.1 4.0e-02 * 0 * 0 * 0 48660.00 299.313 6.746 1.018453 1.5e-11 2.06e-15 1.5e-19 * 0 * 0 48660.00 125.83 7.0e-03 * 0 5.00 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.93 * pks70,htru_pks * - -566 J1225-6035 J1225-6035 12:25:28.6 5.0e-02 -60:35:37.6 3.0e-01 * 0 * 0 * 0 51752.00 299.748 2.117 0.626324 1.8e-11 2.88e-16 8.0e-18 * 0 * 0 51752.00 176.10 1.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * pksmb,htru_pks * -567 B1222-63 J1225-6408 12:25:42.8 2.0e-01 -64:08:43 1.0e+00 * 0 * 0 * 0 43558.59 300.131 -1.414 0.419618 3.0e-10 9.46e-16 1.5e-17 * 0 * 0 43558.59 415.10 5.0e-01 * 0 11.00 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.84 * mol2,pks70,pksmb,htru_pks * -568 J1226-3223 J1226-3223 12:26:46.6 4.0e-02 -32:23:01 1.0e+00 * 0 * 0 * 0 56114.00 296.908 30.200 6.193004 5.0e-10 7.05e-15 1.0e-17 * 0 * 0 56114.00 36.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * pkssw RRAT -569 J1227-4853 J1227-4853 12:27:58.7 1.0e-03 -48:53:42.7 3.0e-03 * 0 * 0 * 0 56707.98 298.965 13.796 0.001686 1.2e-14 1.11e-20 1.2e-21 * 0 * 0 56707.98 43.42 7.0e-04 * 0 * 0 * 0 ELL1 * 0 0.2879 1.0e-09 0.6685 4.0e-06 * 0 * 0 56700.9071 2.0e-07 * 0 * 0 1.80 XRS:XSS_J12270-4859[rbr14],GRS:2FGL_J122 misc HE[pdb+15,jrr+15] -570 J1227-6208 J1227-6208 12:27:00.4 4.0e-04 -62:08:43.7 3.0e-03 * 0 * 0 * 0 55991.20 300.082 0.591 0.034528 2.0e-14 1.87e-19 7.0e-22 * 0 * 0 55991.20 363.00 2.0e-01 * 0 * 0 0.22 0 ELL1H * 0 6.7210 4.0e-09 23.2007 3.0e-06 27.12 0.0e+00 1.149e-03 0.0e+00 55991.1938 2.0e-07 5.238e-04 3.0e-07 1.023e-03 3.0e-07 9.47 * htru_pks * - -571 J1227-63 J1227-63 12:27:12 3.0e+01 -63:09 7.0e+00 * 0 * 0 * 0 56657.00 300.199 -0.407 0.444578 6.0e-08 * 0 * 0 * 0 56657.00 359.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.41 * htru_pks * -572 J1231-1411 J1231-1411 12:31:11.3 7.0e-04 -14:11:43.6 2.0e-02 -62.030 2.6e-01 6.200 5.0e-01 * 0 55100.00 295.531 48.385 0.003684 3.0e-15 2.28e-20 1.4e-22 * 0 * 0 55100.00 8.09 1.0e-03 * 0 * 0 * 0 BT 55016.8000 2.0e-01 1.8601 9.0e-09 2.0426 3.0e-06 320.00 4.0e+01 4.000e-06 3.0e-06 * 0 * 0 * 0 0.42 GRS:2FGL_J1231.2-1411[naa+12] FermiAssoc HE -573 J1231-4609 J1231-4609 12:31:45.7 1.4e-01 -46:09:45.2 3.0e-01 * 0 * 0 * 0 53000.00 299.379 16.573 0.877239 4.0e-11 3.80e-17 1.7e-18 * 0 * 0 53000.00 76.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pkssw * -574 J1231-6303 J1231-6303 12:31:13.0 3.0e-01 -63:03:18 2.0e+00 * 0 * 0 * 0 51397.00 300.644 -0.273 1.351236 6.0e-10 1.40e-15 2.5e-15 * 0 * 0 51397.00 301.00 1.0e+01 * 0 * 0 1.50 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.28 * pksmb,htru_pks * -575 J1232-4742 J1232-4742 12:32:19.1 2.0e-01 -47:42:50.9 1.5e+00 * 0 * 0 * 0 53000.00 299.604 15.034 1.872994 2.0e-10 1.40e-17 5.0e-18 * 0 * 0 53000.00 26.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.87 * pkssw,htru_pks * - -576 J1232-6501 J1232-6501 12:32:17.8 6.0e-03 -65:01:03.3 4.0e-02 * 0 * 0 * 0 51270.00 300.911 -2.221 0.088282 4.0e-13 8.11e-19 3.0e-20 * 0 * 0 51270.00 239.40 5.0e-01 * 0 * 0 0.34 4.0e-02 ELL1 * 0 1.8633 8.0e-08 1.6140 7.0e-05 128.66 0.0e+00 1.089e-04 0.0e+00 51269.9842 2.0e-05 8.500e-05 8.2e-05 -6.800e-05 8.8e-05 5.42 * pksmb,htru_pks * -577 J1233-6312 J1233-6312 12:33:31.5 9.0e-01 -63:12:29 5.0e+00 * 0 * 0 * 0 51396.00 300.915 -0.406 0.564759 4.0e-10 6.92e-15 1.6e-16 * 0 * 0 51396.00 414.00 1.3e+01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.02 * pksmb,htru_pks * -578 J1233-6344 J1233-6344 12:33:39.9 1.0e-01 -63:44:55 1.0e+00 * 0 * 0 * 0 51451.00 300.968 -0.945 0.756892 7.0e-11 3.88e-15 1.8e-17 * 0 * 0 51451.00 495.00 9.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.38 * pksmb,htru_pks * -579 B1232-55 J1235-5516 12:35:19 3.0e+00 -55:16 1.0e+01 * 0 * 0 * 0 43558.61 300.617 7.533 0.638234 1.0e-08 * 0 * 0 * 0 43558.61 100.00 2.0e+01 * 0 4.50 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * mol2,pkssw * -580 J1235-6354 J1235-6354 12:35:57.7 8.0e-02 -63:54:30.4 4.0e-01 * 0 * 0 * 0 51700.00 301.231 -1.088 0.256778 1.2e-11 1.97e-16 4.0e-18 * 0 * 0 51700.00 439.90 1.9e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.30 * pksmb,htru_pks * - -581 J1236-5033 J1236-5033 12:36:59.1 1.0e-02 -50:33:36.3 1.0e-01 * 0 * 0 * 0 51500.00 300.584 12.246 0.294760 4.0e-12 1.56e-16 4.0e-19 * 0 * 0 51500.00 105.02 1.1e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.76 * pkssw,htru_pks * -582 J1237-6725 J1237-6725 12:37:25.9 1.0e-01 -67:25:33.9 6.0e-01 * 0 * 0 * 0 51702.00 301.584 -4.591 2.110974 1.4e-10 2.19e-15 4.0e-17 * 0 * 0 51702.00 176.50 3.0e-01 * 0 * 0 0.48 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * pksmb,htru_pks * -583 J1238+2152 J1238+2152 12:38:23.1 7.8e-02 +21:52:11.1 1.4e+00 * 0 * 0 * 0 51438.00 272.789 83.962 1.118591 4.0e-11 1.45e-15 4.0e-19 -8.700e-27 1.4e-26 * 0 51438.00 17.97 3.1e-03 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.55 * ar4 * -584 B1237+25 J1239+2453 12:39:40.4 1.2e-03 +24:53:49.2 2.0e-02 -104.500 1.1e+00 49.400 1.4e+00 1.160 8.0e-02 46531.00 252.450 86.541 1.382449 1.0e-12 9.60e-16 3.0e-21 -5.080e-28 1.5e-29 * 0 46531.00 9.25 5.3e-04 * 0 110.00 3.3e+01 10.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.84 * gb1,ar4,gb4 * -585 B1236-68 J1239-6832 12:39:59.0 2.0e-01 -68:32:27.7 1.1e+00 * 0 * 0 * 0 43558.63 301.879 -5.693 1.301908 4.0e-10 1.19e-14 1.7e-17 * 0 * 0 43558.63 94.30 3.0e-01 * 0 6.50 0 0.96 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * mol2,pks70,pkssw,pksmb,htru_pks * - -586 B1237-41 J1240-4124 12:40:17.6 4.0e-02 -41:24:51.7 7.0e-01 * 0 * 0 * 0 43564.84 300.688 21.409 0.512242 1.1e-10 1.74e-15 7.0e-18 * 0 * 0 43564.84 44.10 1.2e+00 * 0 3.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * mol2,pkssw,ghrss * -587 J1242+39 J1242+39 12:42:34 4.0e+01 +39:38 1.0e+01 * 0 * 0 * 0 57022.00 130.760 77.360 1.310000 0 * 0 * 0 * 0 57022.00 26.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc * -588 J1243-5735 J1243-5735 12:43:35.3 7.0e-02 -57:35:42.8 5.0e-01 * 0 * 0 * 0 51590.00 301.876 5.260 0.471225 1.6e-10 8.00e-17 7.0e-18 * 0 * 0 51590.00 270.60 1.9e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.15 * pksmb * -589 B1240-64 J1243-6423 12:43:17.1 2.0e-02 -64:23:23.8 1.3e-01 * 0 * 0 * 0 46968.00 302.051 -1.532 0.388481 5.0e-12 4.50e-15 2.0e-19 * 0 * 0 46800.00 297.25 8.0e-02 * 0 110.00 0 13.00 1.3e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -590 J1244-5053 J1244-5053 12:44:11.4 1.0e-02 -50:53:20.6 1.0e-01 * 0 * 0 * 0 51500.00 301.764 11.966 0.275207 4.0e-12 1.00e-15 4.0e-19 * 0 * 0 51500.00 109.95 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * pkssw,htru_pks * - -591 J1244-6359 J1244-6359 12:44:47.6 1.8e-02 -63:59:47.4 3.0e-01 * 0 * 0 * 0 56222.00 302.204 -1.134 0.147274 2.0e-11 4.40e-18 8.0e-19 * 0 * 0 56222.00 286.00 1.0e+00 * 0 * 0 0.15 0 DD 56513.0000 3.0e-01 17.1707 2.0e-06 24.0329 2.0e-04 144.00 7.0e+00 1.790e-04 1.9e-05 * 0 * 0 * 0 8.49 * htru_pks * -592 J1244-6531 J1244-6531 12:44:38.3 2.0e-01 -65:31:12 2.0e+00 * 0 * 0 * 0 54196.50 302.227 -2.658 1.546819 3.0e-10 7.18e-15 1.0e-16 * 0 * 0 54196.50 388.00 2.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.86 * pksmb,htru_pks * -593 J1245-6238 J1245-6238 12:45:21.1 1.4e-01 -62:38:55.9 8.0e-01 * 0 * 0 * 0 51206.00 302.233 0.215 2.283093 3.0e-10 1.09e-14 5.0e-17 * 0 * 0 51206.00 336.20 2.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.95 * pksmb,htru_pks * -594 J1246+2253 J1246+2253 12:46:49.3 5.0e-03 +22:53:43.2 8.0e-02 * 0 * 0 * 0 53400.00 288.809 85.640 0.473871 4.0e-12 8.89e-17 9.0e-21 * 0 * 0 53400.00 17.79 3.0e-03 * 0 29.00 0 0.39 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.47 * ar4 * -595 J1248-6344 J1248-6344 12:48:46.3 5.0e-02 -63:44:09.6 5.0e-01 * 0 * 0 * 0 51451.00 302.637 -0.866 0.198335 8.0e-12 1.69e-14 2.0e-18 * 0 * 0 51451.00 433.00 6.0e-01 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.70 * pksmb * - -596 J1248-6444 J1248-6444 12:48:32.8 2.0e-02 -64:44:00.0 8.0e-01 * 0 * 0 * 0 56715.00 302.623 -1.863 1.234893 3.0e-11 1.93e-15 1.6e-20 * 0 * 0 56715.00 236.40 1.1e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.97 * htru_pks * -597 J1249-6507 J1249-6507 12:49:54.3 9.0e-02 -65:07:19.8 7.0e-01 * 0 * 0 * 0 51724.00 302.771 -2.251 0.434445 3.0e-11 1.21e-17 1.4e-18 * 0 * 0 51724.00 215.00 4.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.12 * pksmb,htru_pks * -598 J1251-7407 J1251-7407 12:51:52.9 1.0e-02 -74:07:15.0 9.0e-02 * 0 * 0 * 0 55332.00 302.963 -11.249 0.327058 2.0e-11 3.65e-16 8.0e-19 * 0 * 0 55332.00 89.81 5.0e-02 * 0 * 0 0.24 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.86 * htru_pks * -599 J1252-6314 J1252-6314 12:52:42.6 1.1e-01 -63:14:32.7 6.0e-01 * 0 * 0 * 0 51155.00 303.075 -0.371 0.823339 6.0e-11 1.08e-16 3.0e-17 * 0 * 0 51155.00 278.40 1.3e+00 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.32 * pksmb,htru_pks * -600 J1253-5820 J1253-5820 12:53:28.3 2.0e-03 -58:20:40.8 2.0e-02 * 0 * 0 * 0 49020.00 303.200 4.526 0.255496 7.0e-13 2.10e-15 2.0e-20 * 0 * 0 49020.00 100.58 4.0e-03 * 0 20.00 0 3.50 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.64 * pks70,pksmb,htru_pks * - -601 J1254-6150 J1254-6150 12:54:32.4 6.0e-02 -61:50:50.8 3.0e-01 * 0 * 0 * 0 51368.00 303.298 1.022 0.184502 7.0e-12 6.24e-16 3.0e-18 * 0 * 0 51368.00 95.00 3.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 * pksmb * -602 J1255-46 J1255-46 12:55 4.0e+00 -46:00 4.0e+01 * 0 * 0 * 0 56657.00 303.578 16.867 0.052000 0 * 0 * 0 * 0 56657.00 42.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * ghrss * -603 J1255-6131 J1255-6131 12:55:54.8 4.0e-02 -61:31:10.1 4.0e-01 * 0 * 0 * 0 51449.00 303.466 1.348 0.657974 3.0e-11 4.00e-15 7.0e-18 * 0 * 0 51449.00 206.50 1.7e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.83 * pksmb * -604 J1255-62 J1255-62 12:55:18 3.0e+01 -62:48 7.0e+00 * 0 * 0 * 0 56657.00 303.373 0.068 0.182912 3.0e-11 * 0 * 0 * 0 56657.00 713.00 4.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.81 * htru_pks * -605 B1254-10 J1257-1027 12:57:04.7 1.5e-02 -10:27:05.8 5.3e-01 * 0 * 0 * 0 49667.00 305.205 52.395 0.617308 8.0e-13 3.63e-16 7.0e-21 5.000e-28 3.3e-28 * 0 49667.00 29.63 9.0e-03 * 0 12.00 1.0e+00 1.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2,pks70 * - -606 B1256-67 J1259-6741 12:59:22.7 1.0e-01 -67:41:40 1.0e+00 * 0 * 0 * 0 43564.90 303.688 -4.834 0.663329 3.0e-10 1.21e-15 1.9e-17 * 0 * 0 43564.90 94.70 9.0e-01 * 0 4.50 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.57 * mol2,pks70,pksmb,htru_pks * -607 B1257+12 J1300+1240 13:00:03.5 1.0e-04 +12:40:56.4 3.0e-04 45.500 5.0e-02 -84.700 7.0e-02 1.410 8.0e-02 49750.00 311.310 75.414 0.006219 3.0e-17 1.14e-19 4.0e-25 * 0 * 0 49750.00 10.17 3.0e-05 -0.001 7.0e-06 20.00 0 2.00 1.0e+00 BT2P 49765.1000 2.0e-01 25.2620 3.0e-03 0.0000 1.0e-07 0.00 0 0.000e+00 0 * 0 * 0 * 0 0.60 XRS:[pkgw07] ar4 * -608 J1301+0833 J1301+0833 13:01:38.2 0 +08:33:57.5 0 * 0 * 0 * 0 55561.00 310.811 71.282 0.001840 0 * 0 * 0 * 0 55561.00 13.20 0 * 0 * 0 * 0 BT * 0 0.2700 0 * 0 * 0 * 0 * 0 * 0 * 0 1.23 GRS:2FGL_J1301.5+0835[naa+12],OPT:[lht14 FermiAssoc * -609 J1301-6305 J1301-6305 13:01:45.7 1.4e-01 -63:05:33.9 1.2e+00 * 0 * 0 * 0 51206.00 304.100 -0.244 0.184528 6.0e-11 2.67e-13 3.0e-18 2.300e-22 4.0e-23 * 0 51206.00 374.00 1.0e+00 * 0 * 0 0.46 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.72 * pksmb,htru_pks * -610 J1301-6310 J1301-6310 13:01:28.3 7.0e-02 -63:10:40.5 5.0e-01 * 0 * 0 * 0 51487.00 304.064 -0.328 0.663830 4.0e-11 5.64e-14 5.0e-18 * 0 * 0 51487.00 86.10 1.2e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 XRS:[pb15] pksmb * - -611 J1302-32 J1302-32 13:02 0 -32:00 0 * 0 * 0 * 0 55196.00 305.539 30.818 0.003770 0 * 0 * 0 * 0 55196.00 26.20 0 * 0 0.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.49 GRS:2FGL_J1302.4-3257[naa+12] FermiAssoc HE -612 J1302-63 J1302-63 13:02:04 8.0e+00 -63:44:53 6.0e+01 * 0 * 0 * 0 50571.00 304.107 -0.901 0.325724 1.0e-08 * 0 * 0 * 0 50571.00 875.00 1.0e+01 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc,pksmb,htru_pks * -613 J1302-6313 J1302-6313 13:02:19.2 7.0e-01 -63:13:29 4.0e+00 * 0 * 0 * 0 51342.00 304.157 -0.379 0.967846 4.0e-10 6.33e-15 8.0e-17 * 0 * 0 51342.00 500.00 2.1e+01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.33 * pksmb * -614 B1259-63 J1302-6350 13:02:47.6 1.1e-03 -63:50:08.6 8.0e-03 -6.600 1.8e+00 -4.400 1.4e+00 * 0 55000.00 304.184 -0.992 0.047763 4.0e-10 2.28e-15 1.2e-18 -2.110e-24 2.0e-26 * 0 50357.00 146.73 1.0e-02 * 0 * 0 1.70 1.8e-01 MSS 53071.2447 7.0e-07 1236.7245 6.0e-06 1296.2745 1.4e-04 138.67 1.1e-05 8.699e-01 6.0e-08 * 0 * 0 * 0 2.30 * pks1,pksmb,htru_pks * -615 J1303-6305 J1303-6305 13:03:00.0 2.3e-01 -63:05:00.8 1.5e+00 * 0 * 0 * 0 51138.00 304.240 -0.241 2.306642 4.0e-10 2.18e-15 1.6e-16 * 0 * 0 51138.00 343.00 3.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.25 * pksmb,htru_pks * - -616 J1305-6203 J1305-6203 13:05:20.9 3.0e-01 -62:03:21.6 1.3e+00 * 0 * 0 * 0 51138.00 304.561 0.772 0.427762 8.0e-11 3.21e-14 3.0e-17 * 0 * 0 51138.00 471.00 1.0e-01 * 0 * 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.60 * pksmb,htru_pks * -617 J1305-6256 J1305-6256 13:05:28.0 4.0e-01 -62:56:39 3.0e+00 * 0 * 0 * 0 51138.00 304.526 -0.116 0.478231 1.2e-10 2.11e-15 4.0e-17 * 0 * 0 51138.00 967.00 3.0e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb,htru_pks * -618 B1302-64 J1305-6455 13:05:23.7 3.0e-01 -64:55:26.3 1.8e+00 * 0 * 0 * 0 43555.70 304.411 -2.092 0.571647 4.0e-10 4.03e-15 1.7e-17 * 0 * 0 43555.70 505.00 3.0e-01 * 0 29.00 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.90 * mol2,pks1,pks70,pksmb,htru_pks * -619 J1305-66 J1305-66 13:05:36 3.0e+01 -66:39 7.0e+00 * 0 * 0 * 0 51559.70 304.338 -3.817 0.197276 2.0e-07 * 0 * 0 * 0 51559.70 316.10 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.63 * pksmb * -620 J1306-40 J1306-40 13:06:56.0 5.0e-01 -40:35:23 7.0e+00 * 0 * 0 * 0 57388.00 306.108 22.186 0.002205 2.0e-08 * 0 * 0 * 0 57388.00 35.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.41 * pks_superb * - -621 J1306-6242 J1306-6242 13:06:44.6 1.0e-01 -62:42:03 1.0e+00 * 0 * 0 * 0 51448.00 304.686 0.119 0.981902 9.0e-11 5.86e-15 3.0e-17 * 0 * 0 51448.00 480.00 6.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.43 * pksmb * -622 B1303-66 J1306-6617 13:06:38.1 4.0e-02 -66:17:21.8 2.0e-01 * 0 * 0 * 0 48394.50 304.462 -3.463 0.473026 7.0e-12 5.97e-15 5.0e-19 * 0 * 0 48394.50 436.90 2.0e-01 * 0 * 0 2.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.87 * pks1,pksmb,htru_pks * -623 J1307-6318 J1307-6318 13:07:54.7 6.0e-01 -63:18:35 4.0e+00 * 0 * 0 * 0 51206.00 304.781 -0.497 4.962427 2.0e-09 2.11e-14 4.0e-16 * 0 * 0 51206.00 374.00 8.0e+00 * 0 * 0 1.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.78 * pksmb,htru_pks * -624 J1307-67 J1307-67 13:07:41 7.2e+01 -67:03:27 4.2e+02 * 0 * 0 * 0 55196.00 304.518 -4.236 3.651200 8.0e-05 * 0 * 0 * 0 55196.00 44.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * pksmb,htru_pks RRAT -625 J1308+2127 J1308+2127 13:08:48.2 1.0e-02 +21:27:06.7 5.0e-02 * 0 * 0 * 0 53415.68 338.733 83.082 10.312522 2.0e-08 1.12e-13 3.0e-16 * 0 * 0 53415.68 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J1308.6+2127,OPT:[kkvh11] misc XINS,NRAD - -626 J1308-4650 J1308-4650 13:08:44.5 1.9e-02 -46:50:29.7 4.0e-01 * 0 * 0 * 0 53000.00 306.008 15.927 1.058833 3.0e-11 5.26e-16 1.6e-18 * 0 * 0 53000.00 66.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * pkssw * -627 J1308-5844 J1308-5844 13:08:21.0 3.0e-02 -58:44:13.8 4.0e-01 * 0 * 0 * 0 51560.00 305.130 4.062 0.464700 7.0e-10 8.64e-15 5.0e-18 * 0 * 0 51560.00 205.60 1.1e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.46 * pksmb,htru_pks * -628 J1309-6415 J1309-6415 13:09:16.6 7.0e-01 -64:15:59 5.0e+00 * 0 * 0 * 0 51303.00 304.867 -1.462 0.619454 3.0e-10 8.79e-15 1.2e-16 * 0 * 0 51303.00 574.00 5.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.98 * pksmb,htru_pks * -629 J1309-6526 J1309-6526 13:09:00.2 8.0e-02 -65:26:16.6 5.0e-01 * 0 * 0 * 0 51767.00 304.758 -2.628 0.398292 2.0e-11 1.84e-17 1.5e-18 * 0 * 0 51767.00 340.00 4.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.26 * pksmb * -630 B1309-12 J1311-1228 13:11:52.6 1.1e-02 -12:28:01.6 4.0e-01 * 0 * 0 * 0 49667.00 310.723 50.095 0.447518 7.0e-13 1.51e-16 4.0e-21 -1.800e-27 4.0e-28 * 0 49667.00 36.21 8.0e-03 * 0 4.00 3.0e-01 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2,pks70 * - -631 J1311-3430 J1311-3430 13:11:45.7 2.0e-04 -34:30:30.3 4.0e-03 * 0 * 0 * 0 55266.91 307.681 28.176 0.002560 3.0e-16 2.10e-20 1.4e-23 * 0 * 0 55266.91 37.84 2.6e-01 * 0 * 0 * 0 ELL1 * 0 0.0651 7.0e-10 0.0106 4.0e-06 * 0 * 0 56009.1295 7.0e-06 * 0 * 0 2.43 GRS:2FGL_J1311.7-3429,OPT:[rom12] FermiBlind HE -632 J1312+0051 J1312+0051 13:12 0 +00:51 0 * 0 * 0 * 0 55561.00 314.418 63.262 0.004230 0 * 0 * 0 * 0 55561.00 15.30 0 * 0 * 0 * 0 BT * 0 38.5000 0 * 0 * 0 * 0 * 0 * 0 * 0 1.47 GRS:2FGL_J1312.7+0051[naa+12] FermiAssoc * -633 B1310+18 J1312+1810 13:12:55 2.0e+01 +18:10 5.0e+00 * 0 * 0 * 0 47060.70 332.954 79.763 0.033163 3.0e-09 * 0 * 0 * 0 47060.70 24.00 1.5e+00 * 0 1.00 0 * 0 BT 47060.7000 9.0e-01 255.8000 6.0e-01 84.2000 7.0e-01 * 0 * 0 * 0 * 0 * 0 20.60 GC:M53 misc * -634 B1309-53 J1312-5402 13:12:04.6 1.0e-01 -54:02:42 1.0e+00 * 0 * 0 * 0 43557.74 305.994 8.704 0.728154 3.0e-10 1.48e-16 1.3e-17 * 0 * 0 43557.74 133.00 2.0e+00 * 0 15.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.90 * mol2,pks70,pkssw,ghrss * -635 B1309-55 J1312-5516 13:12:53.8 1.5e-01 -55:16:47.1 1.5e+00 * 0 * 0 * 0 43556.84 306.011 7.464 0.849236 4.0e-10 5.71e-15 1.6e-17 * 0 * 0 43556.84 134.10 1.6e+00 * 0 16.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * mol2,pks70,pkssw,htru_pks * - -636 J1312-6400 J1312-6400 13:12:07.1 1.0e-01 -64:00:55.6 9.0e-01 * 0 * 0 * 0 51303.00 305.195 -1.235 2.437432 1.1e-10 6.83e-16 5.0e-17 * 0 * 0 51303.00 93.00 1.2e+00 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 * pksmb,htru_pks * -637 J1313+0931 J1313+0931 13:13:23.0 1.0e-01 +09:31:56 1.0e+00 * 0 * 0 * 0 50984.50 320.366 71.657 0.848933 2.0e-11 8.00e-16 1.0e-16 * 0 * 0 50984.50 12.04 4.3e-05 * 0 3.50 1.0e-01 0.16 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * misc * -638 J1314-6101 J1314-6101 13:14:23.4 9.0e-01 -61:01:16 6.0e+00 * 0 * 0 * 0 51396.00 305.710 1.727 2.948390 1.5e-09 1.17e-14 9.0e-16 * 0 * 0 51396.00 309.00 1.3e+01 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.55 * pksmb,htru_pks * -639 J1316-6232 J1316-6232 13:16:46.3 2.0e-01 -62:32:12.2 5.0e-01 * 0 * 0 * 0 49800.00 305.848 0.191 0.342825 6.0e-11 5.30e-15 2.0e-18 * 0 * 0 49800.00 983.30 5.0e-01 * 0 * 0 0.74 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc,pksmb,htru_pks * -640 J1317-5759 J1317-5759 13:17:46.2 3.0e-02 -57:59:30.5 3.0e-01 * 0 * 0 * 0 53911.00 306.428 4.701 2.642199 5.0e-11 1.26e-14 3.0e-18 * 0 * 0 53911.00 145.30 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pksmb RRAT - -641 J1317-6302 J1317-6302 13:17:44.6 7.0e-02 -63:02:52.2 6.0e-01 * 0 * 0 * 0 51138.00 305.908 -0.328 0.261271 3.0e-11 1.02e-16 6.0e-18 * 0 * 0 51138.00 678.10 1.2e+00 * 0 * 0 0.99 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.77 * pksmb,htru_pks * -642 B1316-60 J1319-6056 13:19:20.2 2.0e-02 -60:56:46.6 1.1e-01 * 0 * 0 * 0 47910.80 306.314 1.742 0.284351 6.0e-12 1.53e-15 2.0e-19 * 0 * 0 47910.80 400.94 4.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.85 * pks1,pksmb,htru_pks * -643 J1319-6105 J1319-6105 13:19:26.3 2.0e-02 -61:05:26.2 1.0e-01 * 0 * 0 * 0 51709.00 306.311 1.597 0.421118 6.0e-12 1.50e-15 1.1e-18 * 0 * 0 51709.00 442.20 5.0e-01 * 0 * 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.20 * pksmb,htru_pks * -644 J1320-3512 J1320-3512 13:20:12.6 4.0e-02 -35:12:26.0 8.0e-01 * 0 * 0 * 0 48734.00 309.543 27.295 0.458488 7.0e-11 1.90e-18 8.0e-19 * 0 * 0 48734.00 16.42 1.0e-01 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.87 * pks70,pkssw * -645 B1317-53 J1320-5359 13:20:53.9 1.4e-02 -53:59:06.3 1.8e-01 * 0 * 0 * 0 46916.00 307.304 8.636 0.279729 4.0e-12 9.25e-15 2.0e-19 * 0 * 0 46800.00 97.10 1.0e-01 * 0 18.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * mol2,pks70,pkssw,htru_pks,ghrss * - -646 J1320+67 J1320+67 13:20 3.0e+00 +67:30 1.8e+01 * 0 * 0 * 0 56292.00 118.741 49.395 1.028620 3.5e-05 * 0 * 0 * 0 56292.00 28.00 2.0e+00 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gbncc * -647 J1321-5922 J1321-5922 13:21:39.5 5.0e-02 -59:22:52.1 7.0e-01 * 0 * 0 * 0 54212.00 306.778 3.265 1.279058 7.0e-11 2.37e-15 3.0e-17 * 0 * 0 54212.00 383.00 2.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb * -648 B1322+83 J1321+8323 13:21:46.1 7.0e-02 +83:23:38.9 1.0e-01 -53.000 2.0e+01 13.000 7.0e+00 * 0 48889.00 121.887 33.672 0.670037 3.0e-12 5.66e-16 3.0e-20 -5.400e-27 7.0e-28 * 0 48889.00 13.32 7.6e-04 * 0 11.00 2.0e+00 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * gb1,gb2,gbncc * -649 J1322-62 J1322-62 13:22:54 3.0e+01 -62:51 7.0e+00 * 0 * 0 * 0 50591.60 306.512 -0.197 1.044851 4.0e-06 * 0 * 0 * 0 50591.60 733.60 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.74 * pksmb * -650 J1322-6241 J1322-6241 13:22:32.1 1.2e-01 -62:41:53.5 8.0e-01 * 0 * 0 * 0 51138.00 306.489 -0.041 0.506058 5.0e-11 2.59e-15 1.8e-17 * 0 * 0 51138.00 618.80 1.9e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.24 * pksmb,htru_pks * - -651 J1322-6329 J1322-6329 13:22:18.0 2.0e-01 -63:29:37 2.0e+00 * 0 * 0 * 0 51456.00 306.367 -0.828 2.764209 5.0e-10 1.11e-14 1.0e-16 * 0 * 0 51456.00 659.00 9.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.38 * pksmb * -652 J1324-6146 J1324-6146 13:24:43.9 5.0e-01 -61:46:00 3.0e+00 * 0 * 0 * 0 51397.00 306.859 0.851 0.844109 3.0e-10 5.58e-15 1.4e-16 * 0 * 0 51397.00 828.00 9.0e+00 * 0 * 0 0.73 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb,htru_pks * -653 J1324-6302 J1324-6302 13:24:13.6 7.0e-02 -63:02:21.1 6.0e-01 * 0 * 0 * 0 51523.00 306.638 -0.404 2.483804 1.0e-10 9.79e-16 9.0e-18 * 0 * 0 51523.00 497.00 5.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.69 * pksmb,htru_pks * -654 B1323-58 J1326-5859 13:26:58.2 4.0e-02 -58:59:29.1 4.0e-01 * 0 * 0 * 0 47781.79 307.504 3.565 0.477991 3.0e-11 3.24e-15 1.0e-18 * 0 * 0 47781.79 287.30 1.5e-01 * 0 120.00 0 9.90 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * mol2,pks1,pks70,pksmb,htru_pks * -655 B1323-63 J1326-6408 13:26:32.6 3.0e-01 -64:08:44 1.0e+00 * 0 * 0 * 0 43558.73 306.748 -1.534 0.792670 5.0e-10 3.10e-15 1.8e-17 * 0 * 0 43558.73 502.70 4.0e-01 * 0 18.00 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.99 * mol2,pks70,pksmb,htru_pks * - -656 B1322-66 J1326-6700 13:26:03.2 4.0e-01 -67:00:51 3.0e+00 * 0 * 0 * 0 43555.71 306.310 -4.370 0.543009 5.0e-10 5.31e-15 2.0e-17 * 0 * 0 43555.71 209.60 3.0e-01 * 0 28.00 0 11.00 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.74 * mol2,pksmb,htru_pks * -657 J1327-0755 J1327-0755 13:27:57.5 1.2e-03 -07:55:29.8 4.0e-02 27.000 1.8e+01 95.000 4.8e+01 * 0 55131.00 318.383 53.848 0.002678 2.0e-16 1.77e-21 1.8e-23 * 0 * 0 55131.00 27.91 6.0e-05 * 0 * 0 * 0 ELL1 * 0 8.4391 1.2e-08 6.6458 2.0e-06 45.00 0.0e+00 8.485e-07 0.0e+00 54717.3831 7.0e-07 6.000e-07 5.0e-07 6.000e-07 7.0e-07 25.00 * gb350 * -658 B1323-62 J1327-6222 13:27:17.4 1.0e-01 -62:22:44.6 6.0e-01 * 0 * 0 * 0 47781.81 307.074 0.204 0.529913 1.0e-11 1.89e-14 7.0e-19 * 0 * 0 47781.81 318.80 6.0e-02 * 0 135.00 0 16.00 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * misc,mol2,pks1,pks70,pksmb,htru_pks * -659 B1323-627 J1327-6301 13:27:07.4 2.0e-02 -63:01:15.3 1.0e-02 * 0 * 0 * 0 47910.80 306.966 -0.429 0.196479 3.0e-12 1.53e-15 7.0e-20 * 0 * 0 47910.80 294.91 3.0e-02 * 0 * 0 3.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.22 * pks1,pksmb,htru_pks * -660 J1327-6400 J1327-6400 13:27:10.2 1.1e-01 -64:00:13.1 6.0e-01 * 0 * 0 * 0 51206.00 306.836 -1.403 0.280678 1.3e-11 3.12e-14 4.0e-18 * 0 * 0 51206.00 679.00 1.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.98 * pksmb,htru_pks * - -661 B1325-43 J1328-4357 13:28:06.4 1.0e-02 -43:57:44.1 1.0e-01 3.000 7.0e+00 54.000 2.3e+01 * 0 51360.00 309.874 18.415 0.532699 1.3e-10 3.01e-15 6.0e-18 * 0 * 0 43613.53 42.00 1.0e+00 * 0 18.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * mol2,pks70,pkssw * -662 B1325-49 J1328-4921 13:28:33.5 4.0e-02 -49:21:33.4 7.0e-01 * 0 * 0 * 0 43557.83 309.122 13.066 1.478721 4.0e-10 6.10e-16 2.0e-17 * 0 * 0 43557.83 118.00 2.0e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.40 * mol2,pks70,pkssw,htru_pks * -663 J1329-6158 J1329-6158 13:29:03.3 6.0e-01 -61:58:59 6.0e+00 * 0 * 0 * 0 51490.00 307.334 0.567 1.565218 8.0e-10 3.39e-14 3.0e-16 * 0 * 0 51490.00 514.00 1.1e+01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.87 * pksmb,htru_pks * -664 J1331-5245 J1331-5245 13:31:00.0 4.0e-02 -52:45:25.4 5.0e-01 * 0 * 0 * 0 55195.00 308.985 9.649 0.648117 2.0e-10 5.10e-16 9.0e-18 * 0 * 0 55195.00 148.40 3.0e-01 * 0 * 0 0.32 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.93 * htru_pks * -665 J1332-03 J1332-03 13:32 2.0e+00 -03:26 3.6e+01 * 0 * 0 * 0 56657.00 322.250 57.909 1.106400 5.0e-05 * 0 * 0 * 0 56657.00 27.10 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb350 RRAT - -666 J1332-3032 J1332-3032 13:32:52.4 6.6e-02 -30:32:17.3 1.7e+00 * 0 * 0 * 0 50625.78 313.396 31.490 0.650434 1.7e-11 5.60e-16 4.0e-19 2.500e-26 2.4e-26 * 0 50625.78 15.10 1.9e-01 * 0 9.00 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 * pks70 * -667 J1333-4449 J1333-4449 13:33:44.8 5.0e-03 -44:49:26.2 1.0e-01 * 0 * 0 * 0 53000.00 310.774 17.403 0.345603 3.0e-12 5.40e-19 1.9e-19 * 0 * 0 53000.00 44.30 1.7e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.43 * pkssw * -668 J1334-5839 J1334-5839 13:34:30.1 9.0e-04 -58:39:16.5 8.0e-03 * 0 * 0 * 0 48959.00 308.520 3.749 0.107718 2.0e-13 2.16e-17 4.0e-21 * 0 * 0 48959.00 119.30 9.0e-04 * 0 18.00 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * pks70,pksmb,htru_pks * -669 J1335-3642 J1335-3642 13:35:36 2.0e+01 -36:42 4.0e+00 * 0 * 0 * 0 50400.00 312.713 25.332 0.399192 3.0e-06 * 0 * 0 * 0 50400.00 41.70 3.0e-01 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * pks70,pkssw * -670 J1337-44 J1337-44 13:37:06 3.0e+01 -44:43 7.0e+00 * 0 * 0 * 0 57388.00 311.408 17.402 1.257520 9.0e-05 * 0 * 0 * 0 57388.00 96.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks_superb * - -671 J1337-6306 J1337-6306 13:37:20.3 5.0e-02 -63:06:23.3 3.0e-01 * 0 * 0 * 0 51900.00 308.095 -0.696 0.207953 4.0e-12 3.56e-16 3.0e-19 * 0 * 0 51900.00 777.70 1.7e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.93 * pksmb * -672 J1337-6423 J1337-6423 13:37:31.8 2.0e-03 -64:23:04.9 9.0e-03 -6.000 6.0e+00 -7.000 5.0e+00 * 0 55234.70 307.889 -1.958 0.009423 1.7e-14 2.47e-20 1.8e-22 * 0 * 0 55234.70 259.20 1.3e+00 * 0 * 0 0.29 0 ELL1 * 0 4.7853 5.0e-09 13.0865 5.0e-06 67.18 0.0e+00 1.985e-05 0.0e+00 55234.7704 6.0e-07 1.830e-05 8.0e-07 7.700e-06 9.0e-07 5.94 * htru_pks * -673 B1334-61 J1338-6204 13:38:09.3 5.0e-02 -62:04:18.7 4.0e-01 * 0 * 0 * 0 48375.50 308.373 0.305 1.238990 4.0e-11 1.39e-14 2.0e-18 * 0 * 0 48375.50 640.30 7.0e-01 * 0 * 0 3.80 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.37 * pks1,pksmb,htru_pks * -674 J1339-4712 J1339-4712 13:39:56.5 1.8e-03 -47:12:05.5 3.0e-02 * 0 * 0 * 0 53000.00 311.424 14.869 0.137055 4.0e-13 5.30e-19 2.0e-20 * 0 * 0 53000.00 39.90 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.21 * pkssw,htru_pks * -675 J1339-6618 J1339-6618 13:39:56.6 2.0e-01 -66:18:07.8 7.0e-01 * 0 * 0 * 0 51760.00 307.786 -3.889 0.558179 5.0e-11 3.50e-16 3.0e-17 * 0 * 0 51760.00 241.00 3.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.33 * pksmb,htru_pks * - -676 B1336-64 J1340-6456 13:40:00.3 5.0e-02 -64:56:42.9 3.0e-01 * 0 * 0 * 0 43564.94 308.047 -2.557 0.378622 4.0e-11 5.05e-15 1.6e-18 * 0 * 0 43564.94 76.99 1.3e-01 * 0 9.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 * mol2,pks70,pksmb,htru_pks * -677 J1341-6023 J1341-6023 13:41:07.3 3.0e-02 -60:23:34.7 5.0e-01 * 0 * 0 * 0 51280.00 309.035 1.889 0.627285 1.6e-11 1.95e-14 8.0e-18 * 0 * 0 51280.00 364.60 9.0e-01 * 0 * 0 0.63 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.28 * pksmb,htru_pks * -678 B1338-62 J1341-6220 13:41:42.6 8.0e-02 -62:20:20.7 5.0e-01 * 0 * 0 * 0 49381.00 308.730 -0.035 0.193340 1.9e-11 2.53e-13 3.0e-18 -1.000e-23 1.9e-25 * 0 50859.00 719.65 5.0e-02 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.60 SNR:G308.8-0.1[cks+92],XRS:[pb15] misc,pks1,pksmb,htru_pks * -679 J1342+2822A J1342+2822A 13:42:11 0 +28:22:32 0 * 0 * 0 * 0 52770.00 42.209 78.709 0.002545 1.0e-06 * 0 * 0 * 0 52770.00 26.50 1.0e-01 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.90 GC:M3 misc * -680 J1342+2822B J1342+2822B 13:42:11.0 1.0e-04 +28:22:40.1 2.0e-03 * 0 * 0 * 0 52770.00 42.220 78.709 0.002389 1.0e-15 1.86e-20 4.0e-23 * 0 * 0 52770.00 26.15 2.0e-03 * 0 * 0 0.01 0 ELL1 * 0 1.4174 2.0e-09 1.8757 2.0e-06 * 0 * 0 52485.9680 6.0e-07 * 0 * 0 9.90 GC:M3 misc * - -681 J1342+2822C J1342+2822C 13:42:11 0 +28:22:32 0 * 0 * 0 * 0 52770.00 42.209 78.709 0.002166 1.0e-06 * 0 * 0 * 0 52770.00 26.50 1.0e-01 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.90 GC:M3 misc * -682 J1342+2822D J1342+2822D 13:42:10.2 7.0e-01 +28:22:36 1.6e+01 * 0 * 0 * 0 52770.00 42.215 78.712 0.005443 6.0e-11 * 0 * 0 * 0 52770.00 26.36 1.9e-02 * 0 * 0 0.01 0 DD 52655.3800 5.0e-02 128.7520 6.0e-03 38.5240 5.0e-03 -154.00 2.0e-01 7.530e-02 6.0e-04 * 0 * 0 * 0 9.90 GC:M3 misc * -683 J1344-6059 J1344-6059 13:44:39.6 3.0e-01 -60:59:31 3.0e+00 * 0 * 0 * 0 51676.00 309.341 1.216 0.540102 6.0e-11 4.30e-17 4.0e-18 * 0 * 0 51676.00 435.00 7.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.42 * pksmb * -684 J1345-6115 J1345-6115 13:45:44.4 1.9e-01 -61:15:30.6 1.6e+00 * 0 * 0 * 0 51138.00 309.414 0.928 1.253085 1.8e-10 3.25e-15 8.0e-17 * 0 * 0 51138.00 278.10 2.0e+00 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 * pksmb,htru_pks * -685 J1346-4918 J1346-4918 13:46:22.3 2.0e-02 -49:18:07.2 1.0e-01 * 0 * 0 * 0 55000.00 312.059 12.594 0.299625 2.0e-10 3.50e-17 3.0e-18 * 0 * 0 55000.00 74.42 7.0e-02 * 0 * 0 0.70 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.53 * htru_pks * - -686 J1347-5947 J1347-5947 13:47:19.3 4.0e-02 -59:47:39.8 5.0e-01 * 0 * 0 * 0 51294.00 309.914 2.318 0.609962 1.5e-11 1.42e-14 7.0e-18 * 0 * 0 51294.00 293.40 5.0e-01 * 0 * 0 0.67 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.29 * pksmb,htru_pks * -687 J1348-6307 J1348-6307 13:48:42.4 4.0e-01 -63:07:04 4.0e+00 * 0 * 0 * 0 51304.00 309.353 -0.962 0.927772 3.0e-10 3.79e-15 7.0e-17 * 0 * 0 51304.00 597.00 3.0e+00 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.64 * pksmb,htru_pks * -688 J1349-6130 J1349-6130 13:49:36.6 4.0e-02 -61:30:17.1 4.0e-01 * 0 * 0 * 0 51138.00 309.813 0.587 0.259363 9.0e-12 5.13e-15 4.0e-18 * 0 * 0 51138.00 284.50 1.0e-01 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * pksmb,htru_pks * -689 J1349-63 J1349-63 13:49:18 3.0e+01 -63:56 7.0e+00 * 0 * 0 * 0 56657.00 309.237 -1.772 0.373034 1.0e-07 * 0 * 0 * 0 56657.00 478.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.29 * htru_pks * -690 J1350-5115 J1350-5115 13:50:16.1 6.0e-03 -51:15:24.7 4.0e-02 * 0 * 0 * 0 49485.39 312.233 10.549 0.295699 3.0e-11 7.53e-16 6.0e-19 * 0 * 0 49485.39 90.39 8.0e-03 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * pks70,pkssw,htru_pks * - -691 J1350-6225 J1350-6225 13:50:44.4 1.0e-02 -62:25:43.8 1.0e-01 * 0 * 0 * 0 55806.00 309.734 -0.343 0.138158 1.2e-12 8.88e-15 4.0e-20 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1350.4-6224[aaa+15] FermiBlind NRAD -692 J1352-6803 J1352-6803 13:52:34.4 4.0e-02 -68:03:37.1 4.0e-01 * 0 * 0 * 0 51650.00 308.614 -5.866 0.628903 1.6e-11 1.23e-15 3.0e-18 * 0 * 0 51650.00 214.60 2.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.91 * pkssw,pksmb,htru_pks * -693 J1354-6249 J1354-6249 13:54:35 1.0e+00 -62:49:30 7.0e+00 * 0 * 0 * 0 51396.00 310.070 -0.832 2.951938 3.0e-09 1.48e-14 1.1e-15 * 0 * 0 51396.00 254.00 1.7e+01 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.16 * pksmb,htru_pks * -694 B1352-51 J1355-5153 13:55:58.6 3.0e-02 -51:53:53.8 5.0e-01 * 0 * 0 * 0 43556.85 312.951 9.714 0.644301 8.0e-11 2.81e-15 4.0e-18 * 0 * 0 43556.85 112.10 4.0e-01 * 0 12.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * mol2,pks70,pkssw,htru_pks,ghrss * -695 J1355-5747 J1355-5747 13:55:36.9 1.5e-01 -57:47:15 3.0e+00 * 0 * 0 * 0 53513.00 311.425 4.022 2.038674 4.0e-10 7.15e-16 9.0e-17 * 0 * 0 53513.00 229.00 3.0e+00 * 0 * 0 0.36 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.44 * pksmb,htru_pks * - -696 J1355-5925 J1355-5925 13:55:59.1 5.0e-02 -59:25:00.9 3.0e-01 * 0 * 0 * 0 51730.00 311.069 2.431 1.213381 5.0e-11 5.99e-15 1.1e-17 * 0 * 0 51730.00 354.80 9.0e-01 * 0 * 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * pksmb,htru_pks * -697 J1355-6206 J1355-6206 13:55:21.3 6.0e-02 -62:06:20.1 5.0e-01 * 0 * 0 * 0 51724.00 310.332 -0.156 0.276603 1.0e-11 3.10e-18 6.0e-19 * 0 * 0 51724.00 547.00 3.0e+00 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.54 * pksmb,htru_pks * -698 J1356-5521 J1356-5521 13:56:50.5 5.0e-03 -55:21:12.9 5.0e-02 * 0 * 0 * 0 49016.00 312.199 6.337 0.507380 6.0e-12 7.24e-16 1.0e-19 * 0 * 0 49016.00 174.17 6.0e-03 * 0 12.00 0 1.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.32 * pks70,htru_pks * -699 B1353-62 J1357-62 13:57:25 4.0e+01 -62:28 5.0e+00 * 0 * 0 * 0 47900.00 310.474 -0.565 0.455761 1.0e-06 * 0 * 0 * 0 47900.00 416.80 4.0e-01 * 0 * 0 8.70 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.48 * misc,pks1,pksmb,htru_pks * -700 J1357-6429 J1357-6429 13:57:02.4 2.0e-02 -64:29:30.2 1.0e-01 * 0 * 0 * 0 52921.00 309.923 -2.514 0.166108 1.4e-11 3.60e-13 1.4e-18 1.158e-21 1.6e-23 * 0 52921.00 128.50 7.0e-01 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 XRS:PWN[zav07] pksmb,htru_pks HE[lzg+11] - -701 J1358-2533 J1358-2533 13:58:42 1.5e+01 -25:33 3.0e+00 * 0 * 0 * 0 48742.00 321.485 34.887 0.912971 1.0e-06 * 0 * 0 * 0 48742.00 31.27 1.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.55 * pks70 * -702 B1356-60 J1359-6038 13:59:58.2 8.0e-02 -60:38:08.0 8.0e-01 * 0 * 0 * 0 43555.72 311.239 1.126 0.127501 3.0e-11 6.34e-15 1.3e-18 * 0 * 0 43555.72 293.74 3.0e-03 * 0 105.00 0 7.60 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * mol2,pks1,pks70,pksmb,htru_pks * -703 J1400-1431 J1400-1431 14:00:37.0 1.5e-04 -14:31:47.0 6.1e-03 * 0 * 0 3.600 1.1e+00 56960.00 326.986 45.087 0.003084 8.0e-17 7.23e-21 1.5e-24 * 0 * 0 56960.00 4.93 3.0e-06 0.000 3.0e-05 * 0 0.15 7.0e-02 ELL1 56958.3840 9.0e-08 9.5475 1.9e-09 8.4213 6.0e-07 30.26 0.0e+00 5.557e-07 0.0e+00 * 0 2.800e-07 1.2e-07 4.800e-07 1.4e-07 0.28 OPT:[skm+17],XRS:[skm+17],GRS:3FGL_J1400 gb350 * -704 J1400-6325 J1400-6325 14:00:45.6 1.0e-01 -63:25:42.6 7.0e-01 * 0 * 0 * 0 55105.00 310.592 -1.593 0.031182 3.0e-10 3.89e-14 6.0e-17 * 0 * 0 55105.00 563.00 4.0e+00 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 GRS:IGR_J14003-6326,SNR:G310.6-1.6 misc HE -705 B1358-63 J1401-6357 14:01:52.4 2.0e-02 -63:57:45.5 1.9e-01 * 0 * 0 * 0 46916.00 310.568 -2.140 0.842790 1.4e-11 1.67e-14 8.0e-19 * 0 * 0 46800.00 98.00 5.0e-01 * 0 34.00 0 6.20 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * mol2,pks1,pks70,pksmb,htru_pks * - -706 B1359-51 J1402-5124 14:02:57 2.0e+00 -51:24 1.5e+01 * 0 * 0 * 0 43420.00 314.143 9.908 1.380177 5.0e-06 * 0 * 0 * 0 43420.00 39.00 5.0e+00 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * mol1,mol2,pkssw * -707 J1403-6310 J1403-6310 14:03:14.0 2.0e-01 -63:10:27 1.0e+00 * 0 * 0 * 0 51341.00 310.928 -1.423 0.399170 5.0e-11 9.00e-17 2.0e-17 * 0 * 0 51341.00 305.00 3.0e+00 * 0 * 0 0.65 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.67 * pksmb,htru_pks * -708 J1403-7646 J1403-7646 14:03:04.1 2.0e-01 -76:46:57.5 6.0e-01 * 0 * 0 * 0 49526.44 307.096 -14.494 1.306198 8.0e-10 1.20e-15 1.6e-17 * 0 * 0 49526.44 100.60 1.0e-01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * pks70,pkssw * -709 J1404+1159 J1404+1159 14:04:36.9 3.0e-03 +11:59:15.3 1.0e-01 * 0 * 0 * 0 53400.00 355.078 67.115 2.650439 3.0e-11 1.37e-15 1.2e-19 * 0 * 0 53400.00 18.47 9.0e-03 * 0 3.00 0 0.03 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.18 * ar4 * -710 J1405-42 J1405-42 14:05:48 3.0e+01 -42:33 7.0e+00 * 0 * 0 * 0 57388.00 317.249 18.245 2.346800 4.0e-05 * 0 * 0 * 0 57388.00 64.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.66 * pks_superb * - -711 J1405-4656 J1405-4656 14:05:21.4 8.0e-04 -46:56:02.3 1.0e-02 -44.000 6.0e+00 20.000 1.0e+01 * 0 55692.70 315.826 14.079 0.007602 1.0e-14 2.79e-20 4.0e-22 * 0 * 0 55692.70 13.88 3.0e-03 * 0 * 0 0.92 0 ELL1 * 0 8.9564 7.0e-08 6.5677 9.0e-06 51.34 0.0e+00 6.403e-06 0.0e+00 55132.2310 2.0e-05 5.000e-06 2.0e-06 4.000e-06 3.0e-06 0.67 * htru_pks * -712 J1405-5641 J1405-5641 14:05:12.4 4.0e-02 -56:41:24.2 7.0e-01 * 0 * 0 * 0 52898.00 312.971 4.737 0.617575 4.0e-11 1.20e-15 1.2e-17 * 0 * 0 52898.00 273.00 3.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.40 * pksmb,htru_pks * -713 J1406-5806 J1406-5806 14:06:01.2 2.0e-01 -58:06:32 1.0e+00 * 0 * 0 * 0 51730.00 312.673 3.345 0.288349 5.0e-11 6.11e-16 1.0e-17 * 0 * 0 51730.00 229.00 3.0e+00 * 0 * 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 * pksmb,htru_pks * -714 J1406-6121 J1406-6121 14:06:50.0 6.0e-02 -61:21:27.9 6.0e-01 * 0 * 0 * 0 51111.00 311.841 0.203 0.213075 1.4e-11 5.47e-14 3.0e-18 * 0 * 0 51111.00 537.80 4.0e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.30 * pksmb,htru_pks * -715 J1407-6048 J1407-6048 14:07:58.6 1.3e-01 -60:48:58.8 1.2e+00 * 0 * 0 * 0 51161.00 312.130 0.681 0.492344 5.0e-11 3.16e-15 8.0e-18 * 0 * 0 51161.00 575.20 1.7e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.86 * pksmb,htru_pks * - -716 J1407-6153 J1407-6153 14:07:56.5 5.0e-01 -61:53:59 6.0e+00 * 0 * 0 * 0 51093.00 311.810 -0.354 0.701615 3.0e-10 8.85e-15 7.0e-17 * 0 * 0 51093.00 645.00 9.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.20 * pksmb,htru_pks * -717 J1409-6953 J1409-6953 14:09:16.9 1.0e-01 -69:53:34.4 5.0e-01 * 0 * 0 * 0 55191.00 309.574 -8.031 0.528591 3.0e-10 8.40e-16 1.0e-17 * 0 * 0 55191.00 167.63 3.0e-01 * 0 * 0 0.26 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.75 * htru_pks * -718 J1410-6132 J1410-6132 14:10:24 4.0e+00 -61:32 1.0e+00 * 0 * 0 * 0 54357.30 312.196 -0.090 0.050052 0 3.20e-14 0 * 0 * 0 54357.30 961.00 3.0e-01 * 0 * 0 6.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.51 * misc,htru_pks * -719 J1410-7404 J1410-7404 14:10:07.3 5.0e-03 -74:04:53.3 2.0e-02 * 0 * 0 * 0 51460.00 308.349 -12.043 0.278729 1.5e-12 6.74e-18 9.0e-20 * 0 * 0 51460.00 54.24 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.34 * pkssw,htru_pks * -720 J1411+2551 J1411+2551 14:11:18.8 3.0e-03 +25:51:08.3 7.0e-02 -3.000 1.2e+01 -4.000 9.0e+00 * 0 57617.00 33.380 72.101 0.062453 2.0e-15 9.56e-20 5.1e-21 * 0 * 0 57617.00 12.37 3.0e-04 * 0 * 0 * 0 DD 57617.0451 1.0e-05 2.6159 8.0e-11 9.2051 2.0e-06 81.54 2.0e-04 1.699e-01 4.0e-07 * 0 * 0 * 0 1.13 * ar327 * - -721 J1412-6111 J1412-6111 14:12:59.6 1.3e-01 -61:11:30.5 7.0e-01 * 0 * 0 * 0 51031.00 312.597 0.140 0.529156 4.0e-11 1.91e-15 3.0e-17 * 0 * 0 51031.00 311.80 9.0e-01 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * pksmb,htru_pks * -722 J1412-6145 J1412-6145 14:12:07.6 5.0e-02 -61:45:28.8 6.0e-01 * 0 * 0 * 0 51186.00 312.324 -0.366 0.315225 1.2e-11 9.87e-14 1.3e-18 * 0 * 0 51186.00 514.40 4.0e-01 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.12 * pksmb,htru_pks * -723 J1412+7922 J1412+7922 14:12:55.8 2.0e-01 +79:22:03.7 6.0e-01 * 0 * 0 * 0 55094.00 118.318 37.020 0.059198 7.0e-12 4.00e-19 2.0e-19 * 0 * 0 55094.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:1RXS_J141256.0+792204(Calvera),GRS: misc NRAD -724 J1413-6141 J1413-6141 14:13:09.8 9.0e-02 -61:41:13 1.0e+00 * 0 * 0 * 0 51500.00 312.462 -0.337 0.285625 1.6e-10 3.33e-13 1.5e-16 * 0 * 0 51500.00 670.60 4.0e-01 * 0 * 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.49 * pksmb,htru_pks * -725 J1413-6205 J1413-6205 14:13:29.9 1.0e-01 -62:05:38 1.0e+00 * 0 * 0 * 0 54800.00 312.373 -0.736 0.109741 3.0e-11 2.77e-14 4.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 GRS:2FGL_J1413.4-6204[naa+12],GRS:1AGL_J FermiBlind NRAD - -726 J1413-6222 J1413-6222 14:13:05.4 8.0e-02 -62:22:27.8 1.1e+00 * 0 * 0 * 0 51092.00 312.241 -0.988 0.292408 3.0e-11 2.23e-15 6.0e-18 * 0 * 0 51092.00 808.10 1.2e+00 * 0 * 0 0.96 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.09 * pksmb,htru_pks * -727 B1409-62 J1413-6307 14:13:31.3 8.0e-03 -63:07:35.4 7.0e-02 * 0 * 0 * 0 48375.50 312.053 -1.718 0.394946 2.0e-12 7.43e-15 2.0e-19 * 0 * 0 48375.50 121.98 6.0e-02 * 0 * 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.04 * pks1,pksmb,htru_pks * -728 J1414-6802 J1414-6802 14:14:25.7 1.0e-01 -68:02:58 1.0e+00 * 0 * 0 * 0 51650.00 310.590 -6.420 4.630188 4.0e-10 6.39e-15 7.0e-17 * 0 * 0 51650.00 153.50 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.42 * pkssw,htru_pks * -729 J1415-6621 J1415-6621 14:15:31.2 3.0e-02 -66:21:12.2 3.0e-01 * 0 * 0 * 0 51396.18 311.234 -4.846 0.392479 5.0e-11 5.80e-16 1.0e-18 * 0 * 0 51396.18 260.17 7.0e-02 * 0 * 0 0.71 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.45 * pkssw,pksmb,htru_pks * -730 J1416-5033 J1416-5033 14:16:44.6 2.0e-01 -50:33:17 3.0e+00 * 0 * 0 * 0 55337.00 316.504 10.055 0.794883 2.0e-09 1.20e-16 5.0e-17 * 0 * 0 55337.00 58.50 3.0e-01 * 0 * 0 0.13 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.42 * htru_pks * - -731 J1416-6037 J1416-6037 14:16:30.5 1.6e-01 -60:37:59.5 9.0e-01 * 0 * 0 * 0 51031.00 313.179 0.535 0.295580 3.0e-11 4.28e-15 1.5e-17 * 0 * 0 51031.00 289.20 1.0e+00 * 0 * 0 0.70 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.08 * pksmb,htru_pks * -732 J1417-4402 J1417-4402 14:17:30.6 9.0e-02 -44:02:57.4 9.0e-01 * 0 * 0 * 0 57022.00 318.861 16.144 0.002664 4.0e-10 * 0 * 0 * 0 57022.00 55.00 3.0e-02 * 0 * 0 * 0 ELL1 * 0 5.3737 3.0e-05 4.8760 9.0e-03 * 0 * 0 57111.4570 2.0e-03 * 0 * 0 4.40 GRS:3FGL_J1417.5-4402[aaa+15],XRS:[scc+1 FermiAssoc * -733 J1418-3921 J1418-3921 14:18:50.2 5.0e-03 -39:21:18.5 1.0e-01 * 0 * 0 * 0 49014.00 320.820 20.461 1.096806 2.0e-11 8.89e-16 3.0e-19 * 0 * 0 49014.00 60.49 1.0e-02 * 0 24.00 0 1.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.08 * pks70,pkssw * -734 J1418-5945 J1418-5945 14:18:32.3 4.0e-01 -59:45:00 3.0e+00 * 0 * 0 * 0 51668.00 313.706 1.287 1.672596 3.0e-10 2.71e-16 1.7e-17 * 0 * 0 51668.00 369.00 1.5e+01 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb * -735 J1418-6058 J1418-6058 14:18:42.7 1.0e-01 -60:57:49 2.0e+00 * 0 * 0 * 0 54944.00 313.325 0.135 0.110573 1.3e-11 1.69e-13 1.0e-17 6.400e-22 3.0e-23 -8.000e-29 2.0e-30 54944.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.89 GRS:2FGL_J1418.7-6058[naa+12],GRS:HESS_J FermiBlind NRAD - -736 B1417-54 J1420-5416 14:20:29.1 1.0e-01 -54:16:23 1.0e+00 * 0 * 0 * 0 43557.87 315.793 6.360 0.935772 3.0e-10 2.37e-16 1.2e-17 * 0 * 0 43557.87 129.60 1.2e+00 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * mol2,pks70,pkssw,htru_pks * -737 J1420-5625 J1420-5625 14:20:03.0 3.0e-03 -56:25:55.0 3.0e-02 * 0 * 0 * 0 52558.00 315.002 4.349 0.034117 1.2e-13 6.75e-20 1.7e-20 * 0 * 0 52558.00 64.56 9.0e-02 * 0 * 0 0.13 2.0e-02 BT 52388.9450 6.0e-03 40.2945 4.0e-06 29.5398 4.0e-05 337.30 5.0e-02 3.500e-03 3.0e-06 * 0 * 0 * 0 1.33 * pksmb * -738 J1420-6048 J1420-6048 14:20:08.2 1.6e-02 -60:48:16.4 1.5e-01 * 0 * 0 * 0 51600.00 313.541 0.227 0.068180 2.0e-11 8.32e-14 3.0e-18 * 0 * 0 51600.00 360.15 6.0e-02 * 0 * 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.63 GRS:2FGL_J1420.1-6047[naa+12],GRS:HESS_J pksmb,htru_pks HE[rrj01,waa+10] -739 J1421-4409 J1421-4409 14:21:20.9 3.0e-04 -44:09:04.5 4.0e-03 -10.000 8.0e+00 3.000 2.0e+00 * 0 57600.00 319.497 15.809 0.006386 3.0e-14 1.27e-20 4.0e-22 * 0 * 0 57600.00 54.63 4.0e-03 * 0 * 0 1.40 0 ELL1 56935.6000 1.0e-01 30.7465 2.0e-07 12.7067 5.0e-06 39.00 1.0e+00 1.280e-05 4.0e-07 * 0 * 0 * 0 2.08 * pks_superb * -740 J1422-6138 J1422-6138 14:22:27.0 1.0e-02 -61:38:28 1.0e+00 * 0 * 0 * 0 55214.00 313.519 -0.654 0.340968 1.2e-10 9.68e-14 1.1e-17 -1.500e-23 3.0e-24 * 0 55214.00 * 0 * 0 * 0 0.00 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD - -741 J1423-6953 J1423-6953 14:23:26.7 2.0e-02 -69:53:42.8 8.0e-02 * 0 * 0 * 0 53000.00 310.736 -8.430 0.333411 3.0e-12 1.45e-15 6.0e-20 * 0 * 0 53000.00 123.98 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.70 * pkssw,htru_pks * -742 J1424-5556 J1424-5556 14:24:12.7 3.0e-02 -55:56:13.9 3.0e-01 * 0 * 0 * 0 52260.00 315.718 4.614 0.770375 1.8e-11 7.80e-16 3.0e-18 * 0 * 0 52260.00 198.70 2.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.20 * pksmb,htru_pks * -743 J1424-56 J1424-56 14:24:23 5.0e+01 -56:40:47 4.2e+02 * 0 * 0 * 0 54831.00 315.478 3.911 1.427000 0 * 0 * 0 * 0 54831.00 32.90 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.95 * htru_pks RRAT -744 J1424-5822 J1424-5822 14:24:32.1 3.0e-02 -58:22:56.0 2.0e-01 * 0 * 0 * 0 51368.00 314.897 2.310 0.366734 6.0e-12 3.94e-15 3.0e-18 * 0 * 0 51368.00 323.90 6.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.70 * pksmb,htru_pks * -745 J1424-6438 J1424-6438 14:24:59.2 2.0e-01 -64:38:10.0 9.0e-01 * 0 * 0 * 0 51780.00 312.741 -3.561 1.023504 9.0e-11 2.40e-16 7.0e-17 * 0 * 0 51780.00 248.00 5.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.08 * pksmb * - -746 J1425-5723 J1425-5723 14:25:36.5 3.0e-02 -57:23:30.8 4.0e-01 * 0 * 0 * 0 51468.00 315.382 3.186 0.353263 8.0e-11 2.20e-17 2.0e-18 * 0 * 0 51468.00 43.40 1.3e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * pksmb,htru_pks * -747 J1425-5759 J1425-5759 14:25:59.1 7.0e-02 -57:59:10.2 9.0e-01 * 0 * 0 * 0 51496.00 315.217 2.613 0.707868 4.0e-11 7.42e-16 1.6e-17 * 0 * 0 51496.00 325.00 5.0e+00 * 0 * 0 0.09 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.63 * pksmb * -748 J1425-6210 J1425-6210 14:25:07.7 3.0e-01 -62:10:04.9 1.0e+00 * 0 * 0 * 0 51031.00 313.630 -1.258 0.501730 8.0e-11 4.78e-16 4.0e-17 * 0 * 0 51031.00 430.10 1.7e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * pksmb,htru_pks * -749 J1427-4158 J1427-4158 14:27:50.7 9.0e-03 -41:58:56.3 3.0e-01 * 0 * 0 * 0 53000.00 321.480 17.391 0.586486 1.8e-11 6.21e-16 7.0e-19 * 0 * 0 53000.00 71.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pkssw * -750 B1424-55 J1428-5530 14:28:26.2 1.6e-02 -55:30:50.2 2.0e-01 * 0 * 0 * 0 46916.00 316.427 4.796 0.570290 7.0e-12 2.08e-15 4.0e-19 * 0 * 0 46800.00 82.40 6.0e-01 * 0 35.00 0 3.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * mol2,pks70,pksmb,htru_pks * - -751 J1429-5911 J1429-5911 14:29:58.6 1.0e-01 -59:11:36.6 7.0e-01 * 0 * 0 * 0 54800.00 315.261 1.299 0.115843 3.0e-11 3.05e-14 3.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.95 GRS:2FGL_J1430.0-5909[naa+12] FermiBlind NRAD -752 J1429-5935 J1429-5935 14:29:25.9 1.0e-01 -59:35:58.9 1.2e+00 * 0 * 0 * 0 51232.00 315.046 0.947 0.763915 8.0e-11 4.28e-14 9.0e-18 * 0 * 0 51232.00 456.70 2.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.69 * pksmb * -753 B1426-66 J1430-6623 14:30:40.8 1.8e-02 -66:23:05.0 1.4e-01 -31.000 5.0e+00 -21.000 3.0e+00 * 0 46916.00 312.653 -5.404 0.785441 8.0e-12 2.77e-15 5.0e-19 * 0 * 0 46800.00 65.30 1.0e-01 * 0 130.00 0 8.00 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * mol1,mol2,pks70,pkssw,pksmb,htru_pk * -754 J1431-4715 J1431-4715 14:31:44.6 2.0e-04 -47:15:27.5 4.0e-03 -7.000 3.0e+00 -8.000 4.0e+00 * 0 55756.10 320.051 12.253 0.002012 9.0e-16 1.41e-20 3.0e-23 * 0 * 0 55756.10 59.35 1.0e-02 * 0 * 0 0.73 0 ELL1 * 0 0.4497 7.0e-10 0.5501 2.0e-06 97.43 0.0e+00 2.319e-05 0.0e+00 55756.1048 4.0e-07 2.300e-05 8.0e-06 -3.000e-06 7.0e-06 1.82 * htru_pks * -755 J1431-5740 J1431-5740 14:31:03.4 3.0e-04 -57:40:11.6 4.0e-03 * 0 * 0 * 0 55865.00 315.962 2.660 0.004111 1.2e-15 6.42e-21 1.2e-22 * 0 * 0 55865.00 131.46 3.0e-02 * 0 * 0 0.35 8.0e-03 BT 55461.7900 2.7e-01 2.7269 1.6e-08 2.2699 4.0e-06 95.00 4.0e+01 4.300e-06 2.8e-06 * 0 * 0 * 0 3.55 * htru_pks * - -756 J1432-5032 J1432-5032 14:32:52.2 7.0e-02 -50:32:17.3 6.0e-01 * 0 * 0 * 0 54842.00 318.936 9.155 2.034989 3.0e-10 5.92e-15 8.0e-18 * 0 * 0 54842.00 113.00 1.0e+00 * 0 * 0 0.29 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * htru_pks * -757 J1433+00 J1433+00 14:33:30 1.1e+02 +00:28 8.0e+00 * 0 * 0 * 0 * 349.749 53.792 * 0 * 0 * 0 * 0 * 23.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.99 * ar327 RRAT[dsm+16] -758 J1433-6038 J1433-6038 14:33:13.1 6.0e-02 -60:38:34.7 8.0e-01 * 0 * 0 * 0 54087.90 315.092 -0.197 1.954430 5.0e-10 5.63e-15 4.0e-17 * 0 * 0 54087.90 409.00 2.0e+00 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.22 * pksmb * -759 J1434-6006 J1434-6006 14:34:05.3 2.0e-01 -60:06:29.0 9.0e-01 * 0 * 0 * 0 51396.00 315.396 0.256 0.306368 4.0e-11 3.02e-15 1.7e-17 * 0 * 0 51396.00 332.00 4.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * pksmb,htru_pks * -760 J1434-6029 J1434-6029 14:34:39.1 3.0e-01 -60:29:49 3.0e+00 * 0 * 0 * 0 51137.00 315.310 -0.130 0.963348 1.6e-10 1.03e-15 8.0e-17 * 0 * 0 51137.00 282.00 3.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.81 * pksmb * - -761 J1434+7257 J1434+7257 14:33:59.7 9.0e-04 +72:57:26.5 6.0e-03 * 0 * 0 * 0 55891.00 113.082 42.153 0.041741 3.0e-14 5.50e-19 1.0e-21 * 0 * 0 55891.00 12.61 1.0e-03 * 0 1.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.97 * gbncc * -762 J1435-5954 J1435-5954 14:35:00.3 5.0e-02 -59:54:49.2 3.0e-01 * 0 * 0 * 0 50545.00 315.577 0.391 0.472995 1.6e-11 1.54e-15 7.0e-19 * 0 * 0 50545.00 44.26 1.1e-01 * 0 * 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * pksmb,htru_pks * -763 J1435-6100 J1435-6100 14:35:20.2 5.0e-04 -61:00:57.9 7.0e-03 * 0 * 0 * 0 51270.00 315.186 -0.641 0.009348 7.0e-15 2.45e-20 5.0e-22 * 0 * 0 51270.00 113.70 6.0e-01 * 0 * 0 0.25 4.0e-02 ELL1 * 0 1.3549 1.8e-09 6.1840 4.0e-06 10.45 0.0e+00 1.047e-05 0.0e+00 51270.6084 6.0e-07 1.900e-06 1.2e-06 1.030e-05 1.5e-06 2.81 * pksmb * -764 J1437-5959 J1437-5959 14:37:01.9 3.0e-02 -59:59:01.4 3.0e-01 * 0 * 0 * 0 54827.00 315.783 0.227 0.061696 9.0e-13 8.59e-15 5.0e-19 * 0 * 0 54827.00 549.60 1.1e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.55 SNR:G315.9-0.0,PWN:G315.78-0.23[nbg+12] misc * -765 J1437-6146 J1437-6146 14:37:15.3 9.0e-02 -61:46:02.0 8.0e-01 * 0 * 0 * 0 51614.00 315.101 -1.422 0.467616 7.0e-11 6.33e-15 9.0e-19 * 0 * 0 51614.00 200.50 1.3e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.25 * pksmb,htru_pks * - -766 J1439-5501 J1439-5501 14:39:39.7 4.0e-04 -55:01:23.6 6.0e-03 * 0 * 0 * 0 53200.00 318.097 4.630 0.028635 1.2e-14 1.42e-19 1.0e-21 * 0 * 0 53200.00 14.56 5.0e-02 * 0 * 0 0.42 0 ELL1 * 0 2.1179 3.0e-09 9.8334 7.0e-06 276.80 0.0e+00 4.985e-05 0.0e+00 53058.0500 3.0e-07 -4.950e-05 1.5e-06 5.900e-06 1.3e-06 0.65 * pksmb * -767 J1439+76 J1439+76 14:39 2.0e+00 +76:55 3.6e+01 * 0 * 0 * 0 56657.00 115.405 38.596 0.947903 2.0e-06 * 0 * 0 * 0 56657.00 22.29 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.05 * gbncc RRAT -768 B1436-63 J1440-6344 14:40:31.3 1.8e-02 -63:44:47.6 2.0e-01 * 0 * 0 * 0 43555.77 314.646 -3.384 0.459605 3.0e-11 1.12e-15 1.1e-18 * 0 * 0 43555.77 124.20 5.0e-01 * 0 21.00 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.45 * mol2,pks70,pksmb,htru_pks * -769 J1441-6137 J1441-6137 14:41:44.3 1.0e-01 -61:37:24 2.0e+00 * 0 * 0 * 0 51670.00 315.646 -1.505 1.175840 1.0e-10 3.60e-16 5.0e-17 * 0 * 0 51670.00 166.00 3.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * pksmb,htru_pks * -770 J1443-5122 J1443-5122 14:43:26.9 6.0e-02 -51:22:26 1.0e+00 * 0 * 0 * 0 54800.00 320.135 7.717 0.732061 5.0e-10 3.38e-16 9.0e-18 * 0 * 0 54800.00 87.00 7.0e-01 * 0 * 0 0.68 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.98 * htru_pks * - -771 J1444-5941 J1444-5941 14:44:46.5 3.0e-01 -59:41:19 3.0e+00 * 0 * 0 * 0 51137.00 316.791 0.098 2.760228 6.0e-10 8.23e-15 3.0e-16 * 0 * 0 51137.00 177.10 1.9e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * pksmb,htru_pks * -772 J1444-6026 J1444-6026 14:44:06.0 7.0e-02 -60:26:09.4 4.0e-01 * 0 * 0 * 0 53893.00 316.400 -0.544 4.758576 2.0e-10 1.85e-14 8.0e-18 * 0 * 0 53893.00 367.70 1.4e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.82 * pksmb RRAT -773 J1446-4701 J1446-4701 14:46:35.7 2.0e-05 -47:01:26.7 4.0e-04 -4.000 2.0e-01 -2.000 3.0e-01 * 0 55647.80 322.500 11.425 0.002195 7.0e-17 9.81e-21 2.0e-24 * 0 * 0 55647.80 55.83 1.4e-04 * 0 * 0 0.40 0 ELL1 * 0 0.2777 1.3e-10 0.0640 3.0e-07 121.43 0.0e+00 2.110e-05 0.0e+00 55647.8044 2.0e-07 1.800e-05 8.0e-07 -1.100e-05 9.0e-08 1.57 GRS:2FGL_J1446.8-4701[naa+12] htru_pks HE -774 J1449-5846 J1449-5846 14:49:25.4 6.0e-02 -58:46:40.4 7.0e-01 * 0 * 0 * 0 51507.00 317.720 0.664 0.463330 1.8e-11 8.60e-17 9.0e-18 * 0 * 0 51507.00 216.60 1.8e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * pksmb,htru_pks * -775 J1452-5851 J1452-5851 14:52:52.5 7.0e-02 -58:51:13.3 2.0e+00 * 0 * 0 * 0 51280.00 318.087 0.398 0.386625 3.0e-11 5.07e-14 1.8e-17 * 0 * 0 51280.00 260.50 2.0e-01 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * pksmb,htru_pks * - -776 J1452-6036 J1452-6036 14:52:51.8 8.0e-03 -60:36:31.3 6.0e-02 * 0 * 0 * 0 51630.00 317.296 -1.169 0.154991 8.0e-13 1.45e-15 1.0e-19 * 0 * 0 51630.00 349.54 2.0e-02 * 0 * 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb,htru_pks * -777 J1453+1902 J1453+1902 14:53:45.7 4.0e-05 +19:02:12.1 1.0e-03 * 0 * 0 * 0 56936.00 23.395 60.812 0.005792 3.0e-16 1.17e-20 3.0e-23 * 0 * 0 56936.00 14.06 6.0e-04 * 0 2.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 * ar4 * -778 B1449-64 J1453-6413 14:53:32.7 1.0e-02 -64:13:15.5 8.0e-02 -16.000 1.0e+00 -21.300 8.0e-01 * 0 46917.00 315.733 -4.427 0.179485 1.1e-12 2.75e-15 7.0e-20 * 0 * 0 46800.00 71.25 2.0e-03 * 0 230.00 0 14.00 1.4e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.80 * mol1,mol2,pks70,pksmb,htru_pks * -779 J1454-5846 J1454-5846 14:54:10.9 3.0e-03 -58:46:34.7 3.0e-02 * 0 * 0 * 0 51300.00 318.272 0.391 0.045249 1.1e-13 8.17e-19 9.0e-21 * 0 * 0 51300.00 115.95 1.6e-01 * 0 * 0 0.24 3.0e-02 BT 51316.2560 4.0e-03 12.4231 2.0e-07 26.5289 5.0e-05 310.08 1.1e-01 1.898e-03 4.0e-06 * 0 * 0 * 0 2.98 * pksmb,htru_pks * -780 J1455-3330 J1455-3330 14:55:47.9 2.0e-05 -33:30:46.3 6.2e-04 * 0 * 0 0.990 2.2e-01 55293.00 330.722 22.562 0.007987 4.0e-17 2.43e-20 5.0e-25 8.000e-27 3.0e-26 * 0 55293.00 13.57 3.0e-04 * 0 9.00 1.0e+00 1.20 1.0e-01 DD 55378.7960 1.0e-03 76.1746 1.1e-08 32.3622 4.0e-07 -136.54 5.0e-03 1.696e-04 1.3e-08 * 0 * 0 * 0 1.01 * pks70 HE[lsg+15] - -781 J1455-59 J1455-59 14:55:06 3.0e+01 -59:23 7.0e+00 * 0 * 0 * 0 50841.70 318.101 -0.203 0.176191 2.0e-07 * 0 * 0 * 0 50841.70 498.00 0 * 0 * 0 1.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.69 * pksmb * -782 J1456-48 J1456-48 14:56 4.0e+00 -48:00 4.0e+01 * 0 * 0 * 0 56657.00 323.492 9.837 0.536810 0 * 0 * 0 * 0 56657.00 133.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.34 * ghrss * -783 B1451-68 J1456-6843 14:56:00.1 1.4e-02 -68:43:39.2 9.0e-02 -39.500 4.0e-01 -12.300 3.0e-01 2.200 3.0e-01 43560.00 313.869 -8.543 0.263377 1.9e-12 9.83e-17 1.3e-19 * 0 * 0 46800.00 8.64 7.0e-03 * 0 350.00 0 80.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.43 * mol1,mol2,pks70,pkssw,htru_pks * -784 B1454-51 J1457-5122 14:57:40.1 1.2e-01 -51:22:53 3.0e+00 * 0 * 0 * 0 43563.97 322.134 6.722 1.748301 7.0e-10 5.29e-15 3.0e-17 * 0 * 0 43563.97 37.00 5.0e+00 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.99 * mol2,pks70,pkssw,htru_pks * -785 J1457-5900 J1457-5900 14:57:39.0 2.0e-01 -59:00:51 3.0e+00 * 0 * 0 * 0 51462.00 318.561 -0.027 1.498637 4.0e-10 3.66e-15 7.0e-17 * 0 * 0 51462.00 175.00 4.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * pksmb,htru_pks * - -786 J1457-5902 J1457-5902 14:57:31.9 1.0e-01 -59:02:04 2.0e+00 * 0 * 0 * 0 51312.00 318.538 -0.037 0.390739 5.0e-11 1.23e-14 1.4e-17 * 0 * 0 51312.00 477.20 1.9e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.37 * pksmb,htru_pks * -787 J1459-6053 J1459-6053 14:59:29.9 6.0e-02 -60:53:20.7 4.0e-01 * 0 * 0 * 0 54935.00 317.886 -1.791 0.103151 1.1e-11 2.53e-14 6.0e-19 -4.000e-23 2.0e-24 * 0 54935.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.84 GRS:2FGL_J1459.4-6054[naa+12] FermiBlind NRAD -788 J1501-0046 J1501-0046 15:01:44.9 9.4e-03 -00:46:23.5 8.8e-01 * 0 * 0 * 0 55170.00 356.582 48.051 0.464037 8.2e-12 2.39e-16 6.0e-18 * 0 * 0 55170.00 22.26 9.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.13 * gb350 * -789 J1501-5637 J1501-5637 15:01:51.0 4.0e-01 -56:37:48 5.0e+00 * 0 * 0 * 0 51506.00 320.181 1.810 0.782949 3.0e-10 1.70e-16 8.0e-17 * 0 * 0 51506.00 258.00 1.0e+01 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.94 * pksmb,htru_pks * -790 J1502-5653 J1502-5653 15:02:57.3 1.1e-02 -56:53:39.2 1.2e-01 * 0 * 0 * 0 51780.00 320.186 1.505 0.535504 3.0e-12 1.83e-15 3.0e-19 * 0 * 0 51780.00 194.00 4.0e-01 * 0 * 0 0.39 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.96 * pksmb,htru_pks * - -791 J1502-5828 J1502-5828 15:02:43.8 3.0e-01 -58:28:42 6.0e+00 * 0 * 0 * 0 51297.00 319.395 0.133 0.668105 1.4e-10 3.64e-14 8.0e-17 * 0 * 0 51297.00 584.00 4.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.09 * pksmb,htru_pks * -792 J1502-6128 J1502-6128 15:02:29.8 5.0e-02 -61:28:50.3 5.0e-01 * 0 * 0 * 0 51708.00 317.921 -2.483 0.842104 3.0e-11 1.35e-15 7.0e-18 * 0 * 0 51708.00 256.50 1.4e+00 * 0 * 0 0.56 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.19 * pksmb,htru_pks * -793 J1502-6752 J1502-6752 15:02:18.6 2.0e-03 -67:52:16.7 1.8e-02 -6.000 9.0e+00 -14.000 1.6e+01 * 0 55421.20 314.799 -8.067 0.026744 6.0e-14 3.15e-19 1.4e-21 * 0 * 0 55421.20 151.20 1.8e+00 * 0 * 0 0.69 0 ELL1 * 0 2.4845 1.8e-07 0.3175 2.0e-05 137.60 0.0e+00 3.114e-05 0.0e+00 55421.2120 3.0e-05 2.100e-05 1.4e-04 -2.300e-05 1.5e-04 7.74 * htru_pks * -794 J1503+2111 J1503+2111 15:03:54.6 4.0e-02 +21:11:09.3 5.0e-01 * 0 * 0 * 0 52857.00 29.062 59.296 3.314002 1.2e-10 1.40e-16 2.0e-17 * 0 * 0 52857.00 3.26 4.1e-03 * 0 1.30 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.24 * ar4 * -795 J1504-5621 J1504-5621 15:04:49.1 7.0e-02 -56:21:32 1.0e+00 * 0 * 0 * 0 51505.00 320.671 1.849 0.412985 3.0e-11 5.53e-15 1.2e-17 * 0 * 0 51505.00 143.00 5.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 * pksmb,htru_pks * - -796 B1503-51 J1506-5158 15:06:39.5 7.0e-01 -51:58:10 1.0e+01 * 0 * 0 * 0 43613.68 323.076 5.534 0.840739 3.0e-09 6.37e-15 1.4e-16 * 0 * 0 43613.68 61.00 1.7e+00 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.38 * mol2 * -797 B1504-43 J1507-4352 15:07:34.1 3.0e-02 -43:52:03.2 8.0e-01 * 0 * 0 * 0 43555.79 327.339 12.459 0.286757 3.0e-11 1.60e-15 1.2e-18 * 0 * 0 43555.79 48.70 5.0e-01 * 0 16.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.39 * mol2,pks70,pkssw,htru_pks * -798 B1503-66 J1507-6640 15:07:48.6 7.0e-02 -66:40:57.1 6.0e-01 * 0 * 0 * 0 43564.00 315.858 -7.297 0.355655 6.0e-11 1.16e-15 3.0e-18 * 0 * 0 43564.00 129.80 5.0e-01 * 0 13.00 0 1.05 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * mol2,pkssw,htru_pks * -799 B1508+55 J1509+5531 15:09:25.6 1.0e-04 +55:31:32.3 2.0e-03 -73.640 5.0e-02 -62.650 9.0e-02 0.470 3.0e-02 52275.00 91.325 52.287 0.739682 4.0e-12 5.00e-15 4.0e-20 5.160e-26 1.5e-27 * 0 49904.00 19.62 3.0e-04 * 0 114.00 5.0e+00 8.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * gb1,gb2,gb3,gb4,gbncc * -800 J1509-5850 J1509-5850 15:09:27.1 3.0e-02 -58:50:56.1 5.0e-01 * 0 * 0 * 0 51463.00 319.972 -0.621 0.088922 3.0e-12 9.17e-15 7.0e-19 * 0 * 0 51463.00 142.10 1.0e-01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 XRS:PWN[hb07c],GRS:2FGL_J1509.6-5850[naa pksmb HE[waa+10] - -801 J1509-6015 J1509-6015 15:09:07.5 1.0e-01 -60:15:18.6 6.0e-01 * 0 * 0 * 0 51759.00 319.228 -1.815 0.339038 4.0e-11 2.12e-15 1.2e-17 * 0 * 0 51759.00 423.60 1.7e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.08 * pksmb,htru_pks * -802 B1507-44 J1510-4422 15:10:48.9 4.0e-01 -44:22:07 6.0e+00 * 0 * 0 * 0 43557.99 327.586 11.729 0.943871 1.1e-09 6.10e-16 4.0e-17 * 0 * 0 43557.99 84.00 7.0e+00 * 0 14.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * mol2,pks70,pkssw,htru_pks * -803 J1511-5414 J1511-5414 15:11:51.3 6.0e-03 -54:14:40.3 1.0e-01 * 0 * 0 * 0 51684.00 322.598 3.177 0.200384 1.7e-12 4.85e-16 3.0e-19 * 0 * 0 51684.00 84.76 1.7e-01 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * pksmb,htru_pks * -804 J1511-5835 J1511-5835 15:11:07.0 3.0e-01 -58:35:28 1.0e+00 * 0 * 0 * 0 51397.00 320.289 -0.508 0.301511 4.0e-11 3.44e-16 1.9e-17 * 0 * 0 51397.00 332.00 3.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pksmb,htru_pks * -805 J1512-5431 J1512-5431 15:12:05.7 2.0e-01 -54:31:19 3.0e+00 * 0 * 0 * 0 51709.00 322.486 2.920 2.040532 3.0e-10 1.92e-15 6.0e-17 * 0 * 0 51709.00 219.00 6.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.12 * pksmb,htru_pks * - -806 B1508-57 J1512-5759 15:12:43.0 1.1e-02 -57:59:59.8 2.0e-01 * 0 * 0 * 0 47911.70 320.772 -0.108 0.128694 2.0e-12 6.85e-15 6.0e-20 * 0 * 0 47911.70 627.47 1.0e-02 * 0 * 0 6.00 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.84 * pks1,pksmb,htru_pks * -807 J1513-5739 J1513-5739 15:13:58.9 9.0e-02 -57:39:01.4 1.3e+00 * 0 * 0 * 0 51137.00 321.097 0.104 0.973458 9.0e-11 2.75e-14 4.0e-17 * 0 * 0 51137.00 469.70 1.0e+00 * 0 * 0 0.77 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.89 * pksmb,htru_pks * -808 B1509-58 J1513-5908 15:13:55.6 9.0e-02 -59:08:09.0 1.0e+00 * 0 * 0 * 0 52834.59 320.321 -1.162 0.151251 7.0e-14 1.53e-12 1.4e-21 1.919e-21 5.0e-28 -9.139e-32 2.0e-35 52834.59 252.50 3.0e-01 * 0 1.50 0 0.94 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 SNR:G320.4-1.2,GRS:PWN:2FGL_J1514.0-5915 misc,pksmb,htru_pks HE[umw+93,ppp+09] -809 J1513-5946 J1513-5946 15:13:44.7 1.0e-02 -59:46:31.9 7.0e-01 * 0 * 0 * 0 54909.00 319.970 -1.697 1.046117 8.0e-12 8.53e-15 4.0e-19 * 0 * 0 54909.00 171.70 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.76 * pksmb RRAT -810 B1510-48 J1514-4834 15:14:14.5 6.0e-02 -48:34:19.5 1.1e+00 * 0 * 0 * 0 43564.99 325.872 7.835 0.454839 9.0e-11 9.25e-16 4.0e-18 * 0 * 0 43564.99 51.50 8.0e-01 * 0 8.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * mol2,pks70,pkssw,htru_pks * - -811 J1514-4946 J1514-4946 15:14:19.1 1.0e-04 -49:46:15.5 5.0e-03 -0.300 3.2e+00 -30.000 6.6e+01 * 0 55520.00 325.249 6.807 0.003589 7.0e-16 1.86e-20 1.1e-23 * 0 * 0 55520.00 31.05 2.0e-02 * 0 * 0 0.17 1.1e-01 ELL1 * 0 1.9227 5.0e-09 1.9333 2.0e-06 36.29 0.0e+00 1.090e-05 0.0e+00 55585.8606 3.0e-07 6.454e-06 2.0e-12 8.789e-06 3.0e-12 0.91 GRS:3FGL_J1514.2-4947[aaa+15] FermiAssoc HE -812 J1514-5925 J1514-5925 15:14:59.1 4.0e-02 -59:25:43.3 5.0e-01 * 0 * 0 * 0 51487.00 320.284 -1.482 0.148796 5.0e-12 2.88e-15 7.0e-19 * 0 * 0 51487.00 194.00 4.0e-01 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb * -813 J1515-5720 J1515-5720 15:15:09.3 1.0e-01 -57:20:49 3.0e+00 * 0 * 0 * 0 51478.00 321.390 0.282 0.286646 4.0e-11 6.10e-15 8.0e-18 * 0 * 0 51478.00 480.60 4.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.07 * pksmb,htru_pks * -814 J1517-4356 J1517-4356 15:17:27.3 1.0e-02 -43:56:17.9 2.0e-01 * 0 * 0 * 0 51500.00 328.850 11.463 0.650837 6.0e-12 2.16e-16 6.0e-19 * 0 * 0 51500.00 87.78 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * pkssw,htru_pks * -815 J1517-4636 J1517-4636 15:17:29.3 9.0e-03 -46:36:00.6 2.0e-01 * 0 * 0 * 0 55210.00 327.399 9.217 0.886612 5.0e-11 2.10e-15 2.0e-18 * 0 * 0 55210.00 127.00 1.0e-01 * 0 * 0 0.37 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.68 * htru_pks * - -816 B1516+02A J1518+0204A 15:18:33.3 6.0e-04 +02:05:27.5 3.0e-02 * 0 * 0 * 0 48445.00 3.870 46.802 0.005554 2.0e-15 4.12e-20 6.0e-23 * 0 * 0 48445.00 30.08 5.0e-02 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.50 GC:M5 misc * -817 B1516+02B J1518+0204B 15:18:31.4 3.0e-03 +02:05:15.4 5.0e-02 * 0 * 0 * 0 48445.00 3.859 46.806 0.007947 2.1e-14 -3.33e-21 2.6e-22 * 0 * 0 48445.00 29.47 1.1e-01 * 0 0.50 0 0.03 0 BT 48441.8144 2.0e-04 6.8585 3.0e-06 3.0486 7.0e-05 -0.32 1.5e-02 1.378e-01 3.0e-05 * 0 * 0 * 0 8.50 GC:M5 misc * -818 J1518+0204C J1518+0204C 15:18:32.7 2.1e-05 +02:04:47.8 8.0e-04 4.670 1.4e-01 -8.240 3.6e-01 * 0 52850.00 3.856 46.797 0.002484 6.0e-16 2.61e-20 1.3e-24 -1.450e-26 1.6e-27 * 0 52850.00 29.31 6.0e-04 * 0 * 0 0.04 0 ELL1 * 0 0.0868 3.0e-11 0.0573 5.7e-07 * 0 * 0 52850.0043 1.7e-07 * 0 * 0 8.00 GC:M5,OPT:COM_M5C[prf+14] misc * -819 J1518+0204D J1518+0204D 15:18:34 0 +02:04:58 0 * 0 * 0 * 0 53735.00 3.864 46.795 0.002988 1.0e-06 * 0 * 0 * 0 53735.00 29.30 1.0e-01 * 0 * 0 0.01 0 BT * 0 1.2210 4.0e-03 1.6000 1.0e-02 * 0 * 0 * 0 * 0 * 0 8.00 GC:M5 misc * -820 J1518+0204E J1518+0204E 15:18:34 0 +02:04:58 0 * 0 * 0 * 0 53735.00 3.864 46.795 0.003182 1.0e-06 * 0 * 0 * 0 53735.00 29.30 1.0e-01 * 0 * 0 0.01 0 BT * 0 1.0960 4.0e-03 1.1500 1.0e-02 * 0 * 0 * 0 * 0 * 0 8.00 GC:M5 misc * - -821 J1518-0627 J1518-0627 15:18:59.1 8.0e-03 -06:27:07.7 6.6e-01 * 0 * 0 * 0 55170.00 355.146 41.002 0.794997 7.8e-12 4.18e-16 5.6e-18 * 0 * 0 55170.00 27.96 9.8e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.68 * gb350 * -822 J1518+4904 J1518+4904 15:18:16.7 1.6e-05 +49:04:34.2 1.6e-04 -0.670 4.0e-02 -8.530 4.0e-02 * 0 51203.00 80.808 54.282 0.040935 6.0e-16 2.72e-20 3.0e-24 -5.100e-28 1.8e-27 * 0 52000.00 11.61 8.0e-05 * 0 8.00 4.0e+00 4.00 2.0e+00 DD 52857.7108 1.7e-07 8.6340 1.1e-09 20.0440 4.0e-07 342.55 7.0e-06 2.495e-01 3.0e-08 * 0 * 0 * 0 0.96 * gb4,gbncc * -823 J1518-5415 J1518-5415 15:18:13.5 1.0e-02 -54:15:45.0 3.0e-01 * 0 * 0 * 0 54220.60 323.383 2.675 0.214925 6.0e-12 4.06e-17 1.4e-18 * 0 * 0 54220.60 167.20 2.0e-01 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pksmb,htru_pks * -824 J1519-5734 J1519-5734 15:19:47.5 6.0e-02 -57:34:13.6 7.0e-01 * 0 * 0 * 0 53105.00 321.800 -0.238 0.518758 3.0e-11 4.27e-15 5.0e-18 * 0 * 0 53105.00 664.00 3.0e+00 * 0 * 0 0.45 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * pksmb,htru_pks * -825 J1519-6106 J1519-6106 15:19:35.8 1.1e-01 -61:06:54.6 1.2e+00 * 0 * 0 * 0 53048.00 319.876 -3.216 2.154307 1.4e-10 8.37e-15 1.9e-17 * 0 * 0 53048.00 221.00 3.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * pksmb,htru_pks * - -826 J1519-6308 J1519-6308 15:19:09.5 1.8e-01 -63:08:19.5 1.0e+00 * 0 * 0 * 0 52144.00 318.743 -4.896 1.254052 1.0e-10 5.96e-15 5.0e-17 * 0 * 0 52144.00 250.00 3.0e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.38 * pksmb,htru_pks * -827 J1522-5525 J1522-5525 15:22:06.7 1.0e-01 -55:25:17.5 9.0e-01 * 0 * 0 * 0 51097.00 323.231 1.397 1.389605 1.6e-09 3.30e-15 8.0e-17 * 0 * 0 51097.00 79.00 3.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * pksmb,htru_pks * -828 J1522-5735 J1522-5735 15:22:05.3 1.0e-01 -57:35:00 1.0e+00 * 0 * 0 * 0 55250.00 322.052 -0.415 0.102136 4.0e-11 3.12e-14 3.0e-18 -2.600e-23 5.0e-24 * 0 55250.00 * 0 * 0 * 0 0.00 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SNR:G321.9-0.3(?)[pga+13] FermiBlind NRAD -829 B1518-58 J1522-5829 15:22:42.2 2.0e-02 -58:29:02.7 2.0e-01 * 0 * 0 * 0 48360.00 321.630 -1.215 0.395353 3.0e-12 2.00e-15 2.0e-19 * 0 * 0 48360.00 199.90 2.0e-01 * 0 * 0 4.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * pks1,pksmb,htru_pks * -830 J1524-5625 J1524-5625 15:24:49.8 4.0e-02 -56:25:23.4 6.0e-01 * 0 * 0 * 0 51733.00 323.000 0.351 0.078219 5.0e-12 3.90e-14 1.9e-19 * 0 * 0 51733.00 152.20 1.0e-01 * 0 * 0 0.83 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.38 * pksmb,htru_pks * - -831 J1524-5706 J1524-5706 15:24:21.4 7.0e-02 -57:06:35 2.0e+00 * 0 * 0 * 0 51297.00 322.568 -0.186 1.116049 8.0e-11 3.56e-13 5.0e-17 * 0 * 0 51297.00 832.00 1.0e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.44 * pksmb,htru_pks * -832 J1524-5819 J1524-5819 15:24:24.6 2.0e-02 -58:19:14.1 4.0e-01 * 0 * 0 * 0 54174.80 321.907 -1.201 0.961043 1.0e-10 1.26e-13 1.0e-17 * 0 * 0 54174.80 406.60 5.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.54 * pksmb * -833 J1525-5417 J1525-5417 15:25:28.3 6.0e-02 -54:17:20 1.0e+00 * 0 * 0 * 0 51463.00 324.258 2.078 1.011694 7.0e-11 1.62e-14 1.4e-17 * 0 * 0 51463.00 235.00 3.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * pksmb,htru_pks * -834 J1525-5523 J1525-5523 15:25:36.0 7.0e-03 -55:23:27.2 2.0e-01 * 0 * 0 * 0 55682.00 323.662 1.151 0.355156 1.6e-12 8.96e-18 7.0e-20 * 0 * 0 55682.00 124.70 3.0e-01 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.13 * htru_pks * -835 J1525-5545 J1525-5545 15:25:28.1 2.0e-04 -55:45:49.8 5.0e-03 * 0 * 0 * 0 55891.50 323.439 0.851 0.011360 1.9e-14 1.31e-19 6.0e-22 * 0 * 0 55891.50 126.93 7.0e-03 * 0 * 0 0.33 0 ELL1 * 0 0.9903 7.0e-10 4.7105 6.0e-06 247.75 0.0e+00 4.754e-06 0.0e+00 55891.5286 2.0e-07 -4.400e-06 1.7e-06 -1.800e-06 1.6e-06 3.14 * htru_pks * - -836 J1525-5605 J1525-5605 15:25:41.4 9.0e-02 -56:05:13 2.0e+00 * 0 * 0 * 0 51467.00 323.286 0.565 0.280349 4.0e-11 1.16e-16 7.0e-18 * 0 * 0 51467.00 338.00 3.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * pksmb,htru_pks * -837 J1526-5633 J1526-5633 15:26:41.2 1.0e-01 -56:33:43 3.0e+00 * 0 * 0 * 0 51490.00 323.136 0.093 0.301888 5.0e-11 1.23e-16 1.7e-17 * 0 * 0 51490.00 329.00 4.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb * -838 B1524-39 J1527-3931 15:27:58.9 8.0e-02 -39:31:35 3.0e+00 * 0 * 0 * 0 43558.69 333.050 14.020 2.417582 9.0e-10 1.91e-14 4.0e-17 * 0 * 0 43558.69 49.00 3.0e+00 * 0 11.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.71 * mol2,pks70,pkssw,htru_pks * -839 B1523-55 J1527-5552 15:27:40.9 2.0e-01 -55:52:07 3.0e+00 * 0 * 0 * 0 43558.00 323.639 0.590 1.048705 6.0e-10 1.13e-14 3.0e-17 * 0 * 0 43558.00 362.70 8.0e-01 * 0 17.00 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.32 * mol2,pks70,pksmb,htru_pks * -840 J1528-3146 J1528-3146 15:28:34.9 2.0e-04 -31:46:06.8 8.0e-03 * 0 * 0 * 0 52500.00 337.939 20.217 0.060822 1.0e-14 2.49e-19 1.0e-21 * 0 * 0 52500.00 18.16 6.0e-03 * 0 * 0 1.10 0 DD 52502.4014 2.0e-03 3.1803 3.0e-09 11.4523 5.0e-06 296.84 2.0e-01 2.130e-04 1.0e-06 * 0 * 0 * 0 0.77 * pkssw * - -841 J1528-4109 J1528-4109 15:28:08.0 8.0e-03 -41:09:28.8 2.0e-01 * 0 * 0 * 0 51500.00 332.106 12.671 0.526556 4.0e-12 3.96e-16 4.0e-19 * 0 * 0 51500.00 89.50 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pkssw,htru_pks * -842 J1528-5547 J1528-5547 15:28:39.1 1.2e-01 -55:47:23 2.0e+00 * 0 * 0 * 0 55839.00 323.796 0.579 3.467302 1.7e-09 7.75e-15 2.0e-20 * 0 * 0 55839.00 269.00 0 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * htru_pks * -843 J1528-5838 J1528-5838 15:28:24.3 1.0e-01 -58:38:01 1.0e+00 * 0 * 0 * 0 55806.00 322.166 -1.752 0.355687 8.0e-12 2.48e-14 1.3e-19 * 0 * 0 55806.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1528.3-5836[aaa+15] FermiBlind NRAD -844 J1529-3828 J1529-3828 15:29:15.1 1.0e-03 -38:28:45.8 3.0e-02 * 0 * 0 * 0 55847.00 333.886 14.728 0.008486 6.0e-14 2.70e-20 1.3e-21 * 0 * 0 55847.00 73.62 2.0e-02 * 0 * 0 0.16 0 DD 55941.6000 1.6e-01 119.6748 1.6e-05 29.3405 2.0e-05 282.20 4.0e-01 1.686e-04 1.4e-06 * 0 * 0 * 0 4.30 * htru_pks * -845 J1529-5355 J1529-5355 15:29:57.6 3.0e-01 -53:55:36 5.0e+00 * 0 * 0 * 0 51485.00 325.006 2.009 0.891265 4.0e-10 8.10e-16 4.0e-17 * 0 * 0 51485.00 292.00 9.0e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.24 * pksmb,htru_pks * - -846 J1529-5611 J1529-5611 15:29:35.8 6.0e-01 -56:11:29 1.3e+01 * 0 * 0 * 0 51311.00 323.678 0.173 0.822249 5.0e-10 4.10e-15 3.0e-16 * 0 * 0 51311.00 149.00 1.0e+01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.32 * pksmb,htru_pks * -847 J1530-5327 J1530-5327 15:30:26.8 6.0e-02 -53:27:56.3 7.0e-01 * 0 * 0 * 0 51253.00 325.328 2.347 0.278957 1.5e-11 4.68e-15 4.0e-18 * 0 * 0 51253.00 49.60 1.0e-01 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * pksmb,htru_pks * -848 J1530-63 J1530-63 15:30:52 0 -63:43:33 0 * 0 * 0 * 0 55561.00 319.510 -6.111 0.910300 0 * 0 * 0 * 0 55561.00 206.50 1.5e-01 * 0 * 0 0.43 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.55 * htru_pks * -849 J1531-4012 J1531-4012 15:31:08.0 1.0e-02 -40:12:30.9 4.0e-01 * 0 * 0 * 0 51500.00 333.147 13.113 0.356849 6.0e-12 9.63e-17 6.0e-19 * 0 * 0 51500.00 106.65 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.52 * pkssw * -850 J1531-5610 J1531-5610 15:31:27.9 1.0e-02 -56:10:55.0 1.0e-01 * 0 * 0 * 0 51448.00 323.897 0.033 0.084202 8.0e-13 1.37e-14 3.0e-19 * 0 * 0 51448.00 110.41 3.0e-02 * 0 * 0 0.60 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.84 * pksmb,htru_pks * - -851 B1530+27 J1532+2745 15:32:10.3 8.1e-03 +27:45:49.4 1.4e-01 * 0 * 0 * 0 49666.00 43.481 54.495 1.124836 7.0e-12 7.80e-16 6.0e-20 -8.500e-28 7.6e-28 * 0 49666.00 14.69 1.6e-02 * 0 13.00 2.0e+00 0.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * gb1,ar4,gb4 * -852 J1532-5308 J1532-5308 15:32:35.5 1.0e-01 -53:08:06 2.0e+00 * 0 * 0 * 0 51587.00 325.780 2.434 0.443825 4.0e-11 6.50e-17 6.0e-18 * 0 * 0 51587.00 181.00 3.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.82 * pksmb * -853 J1532-56 J1532-56 15:32:18 3.0e+01 -56:32 7.0e+00 * 0 * 0 * 0 56657.00 323.790 -0.321 0.522977 1.3e-10 * 0 * 0 * 0 56657.00 282.00 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.44 * htru_pks * -854 J1534-4428 J1534-4428 15:34:52.0 5.0e-02 -44:28:09.4 8.0e-01 * 0 * 0 * 0 55337.00 331.161 9.261 1.221426 3.0e-10 1.80e-16 2.0e-17 * 0 * 0 55337.00 137.30 2.0e-01 * 0 * 0 0.55 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.64 * htru_pks * -855 J1534-46 J1534-46 15:34:08 4.2e+01 -46:14 1.5e+01 * 0 * 0 * 0 54831.00 330.007 7.910 0.364835 9.0e-06 * 0 * 0 * 0 54831.00 64.40 7.8e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.04 * pkssw RRAT - -856 B1530-53 J1534-5334 15:34:08.3 2.0e-02 -53:34:19.3 3.0e-01 * 0 * 0 * 0 46902.00 325.716 1.944 1.368881 2.0e-11 1.43e-15 1.8e-18 * 0 * 0 46800.00 24.82 1.0e-02 * 0 70.00 0 6.80 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * mol1,mol2,pks1,pks70,pksmb,htru_pks * -857 B1530-539 J1534-5405 15:34:33.5 3.0e-02 -54:05:39.7 5.0e-01 * 0 * 0 * 0 48360.60 325.463 1.483 0.289689 6.0e-12 1.54e-15 4.0e-19 * 0 * 0 48360.60 190.82 2.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * pks1,pksmb,htru_pks * -858 J1535-4114 J1535-4114 15:35:17.0 1.0e-02 -41:14:03.1 3.0e-01 * 0 * 0 * 0 51500.00 333.175 11.821 0.432866 6.0e-12 4.07e-15 6.0e-19 * 0 * 0 51500.00 66.28 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.77 * pkssw,htru_pks * -859 J1535-4415 J1535-4415 15:35:55.9 7.0e-02 -44:15:08.4 1.2e+00 * 0 * 0 * 0 53000.00 331.447 9.324 0.468402 3.0e-11 4.05e-17 9.0e-19 * 0 * 0 53000.00 110.70 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.81 * pkssw,htru_pks * -860 J1535-5450 J1535-5450 15:35:58.2 6.0e-02 -54:50:26 1.0e+00 * 0 * 0 * 0 51448.00 325.194 0.757 0.566734 4.0e-11 1.43e-14 1.0e-17 * 0 * 0 51448.00 219.80 1.4e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * pksmb * - -861 J1535-5848 J1535-5848 15:35:16.7 4.0e-02 -58:48:27.7 3.0e-01 * 0 * 0 * 0 51760.00 322.797 -2.406 0.307178 7.0e-12 2.72e-15 3.0e-18 * 0 * 0 51760.00 107.00 7.0e-01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.97 * pksmb,htru_pks * -862 J1536-3602 J1536-3602 15:36:17.3 1.4e-02 -36:02:58.8 5.0e-01 * 0 * 0 * 0 53000.00 336.555 15.841 1.319759 5.0e-11 7.90e-16 1.9e-18 * 0 * 0 53000.00 96.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.04 * pkssw * -863 J1536-4948 J1536-4948 15:36 0 -49:48 0 * 0 * 0 * 0 55561.00 328.157 4.838 0.003080 0 * 0 * 0 * 0 55561.00 38.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 GRS:2FGL_J1536.4-4949[naa+12] FermiAssoc * -864 J1536-5433 J1536-5433 15:36:04.8 1.9e-01 -54:33:15 4.0e+00 * 0 * 0 * 0 51138.00 325.374 0.980 0.881438 3.0e-10 1.91e-15 8.0e-17 * 0 * 0 51138.00 147.50 1.9e+00 * 0 * 0 1.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.31 * pksmb,htru_pks * -865 J1536-5907 J1536-5907 15:36:17.7 2.0e-02 -59:07:03.6 6.0e-01 * 0 * 0 * 0 54211.60 322.722 -2.734 0.557841 3.0e-11 1.37e-15 7.0e-18 * 0 * 0 54211.60 316.00 2.0e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.13 * pksmb,htru_pks * - -866 B1534+12 J1537+1155 15:37:09.9 3.0e-06 +11:55:55.4 6.0e-05 1.482 7.0e-03 -25.285 1.2e-02 0.860 1.8e-01 52077.00 19.848 48.341 0.037904 1.6e-16 2.42e-18 3.0e-24 1.700e-29 1.1e-30 -1.600e-36 2.0e-37 52077.00 11.62 2.0e-05 -0.001 9.0e-06 36.00 0 0.60 2.0e-01 DD 52076.8271 1.1e-08 0.4207 2.0e-12 3.7295 6.0e-07 283.31 1.2e-05 2.737e-01 7.0e-08 * 0 * 0 * 0 1.05 XRS:[kpg06b] ar4,gb4 * -867 J1537-4912 J1537-4912 15:37:28.2 2.0e-01 -49:12:03 3.0e+00 * 0 * 0 * 0 53000.00 328.705 5.181 0.301311 8.0e-11 1.93e-15 2.0e-18 * 0 * 0 53000.00 69.70 1.4e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.05 * pkssw,pksmb * -868 J1537-5153 J1537-5153 15:37:15.7 6.0e-02 -51:53:06 1.0e+00 * 0 * 0 * 0 51423.00 327.088 3.035 1.528124 1.2e-10 4.17e-15 1.2e-17 * 0 * 0 51423.00 93.00 4.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.74 * pksmb * -869 J1537-5645 J1537-5645 15:37:51.0 3.0e-01 -56:45:04 7.0e+00 * 0 * 0 * 0 51306.00 324.283 -0.943 0.430464 1.5e-10 2.78e-15 6.0e-17 * 0 * 0 51306.00 707.00 5.0e+00 * 0 * 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.46 * pksmb,htru_pks * -870 J1538+2345 J1538+2345 15:38:06.0 2.0e-02 +23:45:04.0 2.0e-01 * 0 * 0 * 0 56745.00 37.318 52.391 3.449385 1.0e-10 6.89e-15 1.2e-17 * 0 * 0 56745.00 14.91 1.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.31 * gb350 RRAT - -871 J1538-5438 J1538-5438 15:38:48.9 1.5e-01 -54:38:17 3.0e+00 * 0 * 0 * 0 51138.00 325.645 0.679 0.276726 5.0e-11 1.42e-15 3.0e-17 * 0 * 0 51138.00 136.90 1.7e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * pksmb * -872 J1538-5519 J1538-5519 15:38:40.8 9.0e-02 -55:19:46 2.0e+00 * 0 * 0 * 0 54221.10 325.219 0.134 0.395731 8.0e-11 4.10e-17 1.5e-17 * 0 * 0 54221.10 611.00 3.0e+00 * 0 * 0 0.42 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pksmb,htru_pks * -873 J1538-5551 J1538-5551 15:38:45.0 4.0e-02 -55:51:36.9 6.0e-01 * 0 * 0 * 0 51886.00 324.912 -0.299 0.104675 4.0e-12 3.21e-15 4.0e-19 * 0 * 0 51886.00 604.60 1.0e-01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.99 * pksmb,htru_pks * -874 J1538-5621 J1538-5621 15:38:43.2 2.0e-02 -56:21:55.5 4.0e-01 * 0 * 0 * 0 55912.00 324.608 -0.703 1.908494 2.0e-11 7.31e-15 7.0e-19 * 0 * 0 55912.00 150.00 1.8e+01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.31 * htru_pks * -875 J1538-5638 J1538-5638 15:38:05.7 2.0e-01 -56:38:12 4.0e+00 * 0 * 0 * 0 51490.00 324.378 -0.871 0.843980 1.4e-10 7.12e-15 8.0e-17 * 0 * 0 51490.00 546.00 7.0e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.04 * pksmb,htru_pks * - -876 J1538-5732 J1538-5732 15:38:18.1 3.0e-02 -57:32:29.3 4.0e-01 * 0 * 0 * 0 51803.00 323.865 -1.617 0.341213 6.0e-12 4.55e-15 6.0e-19 * 0 * 0 51803.00 152.70 8.0e-01 * 0 * 0 0.35 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * pksmb,htru_pks * -877 J1538-5750 J1538-5750 15:38:08.4 4.0e-02 -57:50:17.1 6.0e-01 * 0 * 0 * 0 51484.00 323.672 -1.843 0.506568 1.8e-11 4.20e-17 3.0e-18 * 0 * 0 51484.00 91.00 4.0e+00 * 0 * 0 0.06 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * pksmb * -878 J1539-4828 J1539-4828 15:39:40.8 6.0e-02 -48:28:57 1.0e+00 * 0 * 0 * 0 54845.00 329.428 5.541 1.272842 1.4e-10 1.27e-15 2.0e-18 * 0 * 0 54845.00 117.00 5.0e+00 * 0 * 0 0.21 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * -879 J1539-5521 J1539-5521 15:39:07.9 7.0e-02 -55:21:11.2 8.0e-01 * 0 * 0 * 0 51730.00 325.256 0.077 1.004958 8.0e-11 7.28e-16 8.0e-18 * 0 * 0 51730.00 380.00 5.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb,htru_pks * -880 B1535-56 J1539-5626 15:39:13.9 2.0e-02 -56:26:25.4 4.0e-01 * 0 * 0 * 0 48376.00 324.621 -0.806 0.243392 2.0e-11 4.85e-15 7.0e-19 * 0 * 0 48376.00 175.85 3.0e-02 * 0 * 0 4.60 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.54 * pks1,pksmb,htru_pks * - -881 J1539-6322 J1539-6322 15:39:24.7 3.0e-02 -63:22:53.2 2.0e-01 * 0 * 0 * 0 53000.00 320.488 -6.390 1.630846 3.0e-11 2.02e-16 6.0e-19 * 0 * 0 53000.00 163.50 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * pkssw,htru_pks * -882 J1540-5736 J1540-5736 15:40:59.0 1.2e-01 -57:36:57 3.0e+00 * 0 * 0 * 0 51309.00 324.109 -1.891 0.612916 8.0e-11 4.21e-16 3.0e-17 * 0 * 0 51309.00 304.50 1.3e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.35 * pksmb,htru_pks * -883 J1541-42 J1541-42 15:41:55 3.8e+01 -42:18:50 4.2e+02 * 0 * 0 * 0 * 333.514 10.214 * 0 * 0 * 0 * 0 * 60.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.11 * htru_pks RRAT -884 J1541-5535 J1541-5535 15:41:49.6 4.0e-01 -55:35:01 5.0e+00 * 0 * 0 * 0 51527.00 325.424 -0.337 0.295838 9.0e-11 7.50e-14 3.0e-17 * 0 * 0 51527.00 426.10 1.0e-01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.16 * pksmb,htru_pks * -885 J1542-5034 J1542-5034 15:42:45.4 1.0e-02 -50:34:01.4 2.0e-01 * 0 * 0 * 0 48958.00 328.568 3.577 0.599245 1.0e-10 3.97e-15 3.0e-18 * 0 * 0 48958.00 91.00 6.0e-01 * 0 21.00 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * pks70,pksmb,htru_pks * - -886 J1542-5133 J1542-5133 15:42:19.9 1.3e-01 -51:33:35 3.0e+00 * 0 * 0 * 0 51911.00 327.913 2.827 1.783865 3.0e-10 5.89e-16 6.0e-17 * 0 * 0 51911.00 186.00 4.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.06 * pksmb,htru_pks * -887 J1542-5303 J1542-5303 15:42:54.5 4.0e-02 -53:03:41 1.0e+00 * 0 * 0 * 0 51491.00 327.073 1.578 1.207568 6.0e-11 7.78e-14 3.0e-17 * 0 * 0 51491.00 265.70 1.2e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.37 * pksmb,htru_pks * -888 B1540-06 J1543-0620 15:43:30.1 1.6e-03 -06:20:45.2 8.0e-02 -17.000 2.0e+00 -4.000 3.0e+00 * 0 49423.00 0.566 36.608 0.709064 4.0e-12 8.80e-16 4.0e-20 1.310e-26 1.0e-27 * 0 49423.00 18.38 9.0e-04 * 0 40.00 6.0e+00 2.00 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * mol2,gb2,pks70 * -889 B1541+09 J1543+0929 15:43:38.8 1.0e-04 +09:29:16.3 2.0e-03 -7.610 6.0e-02 -2.870 7.0e-02 0.130 2.0e-02 52275.00 17.811 45.775 0.748448 6.0e-12 4.32e-16 4.0e-20 -1.390e-26 8.0e-28 * 0 48716.00 34.98 1.6e-03 * 0 78.00 6.0e+00 5.90 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.90 * misc,mol2,gb4 * -890 J1543-5013 J1543-5013 15:43:58.2 8.0e-02 -50:13:58 1.0e+00 * 0 * 0 * 0 51456.00 328.925 3.725 0.644255 6.0e-10 1.01e-14 1.7e-17 * 0 * 0 51456.00 211.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb * - -891 J1543-5149 J1543-5149 15:43:44.1 2.0e-04 -51:49:54.6 2.0e-03 -4.300 1.4e+00 -4.000 2.0e+00 * 0 55522.00 327.921 2.479 0.002057 6.0e-16 1.62e-20 1.3e-23 * 0 * 0 55522.00 50.93 1.4e-01 * 0 * 0 0.55 0 ELL1 * 0 8.0608 9.0e-09 6.4803 2.0e-06 75.70 0.0e+00 2.146e-05 0.0e+00 54929.0678 1.1e-06 2.080e-05 5.0e-07 5.300e-06 6.0e-07 1.15 * htru_pks * -892 J1543-5459 J1543-5459 15:43:56.2 7.0e-02 -54:59:13.7 1.2e+00 * 0 * 0 * 0 51139.00 326.024 -0.044 0.377119 3.0e-11 5.20e-14 9.0e-18 * 0 * 0 51139.00 345.90 3.0e-01 * 0 * 0 0.62 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.66 * pksmb,htru_pks * -893 J1544+4937 J1544+4937 15:44:04.4 2.0e-05 +49:37:55.2 2.0e-04 * 0 * 0 * 0 56007.00 79.172 50.166 0.002159 5.0e-17 2.93e-21 5.0e-24 * 0 * 0 56007.00 23.23 1.0e-04 * 0 5.40 0 * 0 ELL1 * 0 0.1208 1.0e-10 0.0329 4.0e-07 * 0 * 0 56124.7701 2.0e-07 * 0 * 0 2.99 GRS:Fermi_J1544.2+4941[brr+13],OPT:[tkp+ misc HE -894 B1541-52 J1544-5308 15:44:59.8 1.8e-02 -53:08:46.5 5.0e-01 * 0 * 0 * 0 43555.80 327.271 1.320 0.178554 1.4e-11 6.07e-17 7.0e-19 * 0 * 0 43555.80 35.16 7.0e-02 * 0 23.00 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.93 * mol2,pks1,pks70,pksmb,htru_pks,ghrs * -895 J1545-4550 J1545-4550 15:45:55.9 4.0e-05 -45:50:37.5 8.0e-04 * 0 * 0 * 0 55937.00 331.892 6.988 0.003575 1.2e-16 5.25e-20 3.0e-23 * 0 * 0 55937.00 68.39 8.0e-03 * 0 * 0 0.75 6.0e-03 BT 55611.4000 2.0e-02 6.2031 8.0e-09 3.8469 6.0e-07 221.30 1.8e+00 1.300e-05 4.0e-07 * 0 * 0 * 0 2.25 * htru_pks * - -896 J1546-3747A J1546-3747A 15:46:03.4 0 -37:47:10.1 0 * 0 * 0 * 0 51900.00 337.023 13.268 0.002606 1.0e-13 * 0 * 0 * 0 51900.00 92.17 4.0e-02 * 0 * 0 * 0 BT 55355.6747 2.0e-05 1.3467 2.0e-07 1.3833 4.0e-05 * 0 * 0 * 0 * 0 * 0 6.45 GC:NGC5986 misc * -897 J1546-5302 J1546-5302 15:46:07.4 1.0e-01 -53:02:23.0 9.0e-01 * 0 * 0 * 0 51398.00 327.470 1.301 0.580840 4.0e-11 1.18e-14 3.0e-17 * 0 * 0 51398.00 287.00 3.0e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb,htru_pks * -898 J1546-59 J1546-59 15:46 0 -59 0 * 0 * 0 * 0 56102.00 323.791 -3.390 0.007800 0 * 0 * 0 * 0 56102.00 168.30 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.89 * pksmb * -899 J1547-0944 J1547-0944 15:47:46.0 3.6e-02 -09:44:07.8 3.2e+00 * 0 * 0 * 0 55170.00 358.314 33.573 1.576925 4.4e-11 2.94e-15 3.6e-17 * 0 * 0 55170.00 37.42 2.2e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.76 * gb350 * -900 J1547-5750 J1547-5750 15:47:30.6 1.0e-01 -57:50:29.4 1.5e+00 * 0 * 0 * 0 52044.00 324.663 -2.601 0.647198 6.0e-11 2.56e-17 5.0e-18 * 0 * 0 52044.00 148.00 4.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * - -901 J1547-5839 J1547-5839 15:47:34.9 4.0e-02 -58:39:09.8 7.0e-01 * 0 * 0 * 0 51876.00 324.167 -3.243 0.242190 1.0e-11 5.94e-16 3.0e-18 * 0 * 0 51876.00 222.30 1.2e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.68 * pksmb,htru_pks * -902 J1548-4821 J1548-4821 15:48:23.2 3.0e-02 -48:21:49.7 6.0e-01 * 0 * 0 * 0 51587.00 330.649 4.753 0.145655 3.0e-11 8.00e-19 1.1e-18 * 0 * 0 51587.00 126.00 5.0e-01 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pksmb,htru_pks * -903 J1548-4927 J1548-4927 15:48:19.4 3.0e-02 -49:27:40.4 5.0e-01 * 0 * 0 * 0 51685.00 329.956 3.900 0.602738 1.9e-11 4.05e-15 3.0e-18 * 0 * 0 51685.00 141.20 6.0e-01 * 0 * 0 0.69 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.52 * pksmb,htru_pks * -904 J1548-5607 J1548-5607 15:48:44.0 3.0e-02 -56:07:33.9 5.0e-01 * 0 * 0 * 0 51138.00 325.858 -1.359 0.170934 5.0e-12 1.07e-14 3.0e-18 * 0 * 0 51138.00 314.66 7.0e-02 * 0 * 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.70 * pksmb,htru_pks * -905 J1549+2113 J1549+2113 15:49:40.9 5.0e-03 +21:13:26.9 1.0e-01 * 0 * 0 * 0 51738.00 34.625 49.129 1.262471 5.0e-12 8.54e-16 8.0e-19 * 0 * 0 51738.00 24.06 3.6e-03 * 0 0.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * ar4 * - -906 J1549-4848 J1549-4848 15:49:21.1 4.0e-03 -48:48:37.4 8.0e-02 * 0 * 0 * 0 48736.00 330.494 4.304 0.288347 2.0e-12 1.41e-14 3.0e-20 * 0 * 0 48736.00 55.98 8.0e-03 * 0 17.00 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.31 * pks70,pksmb,htru_pks * -907 J1549-57 J1549-57 15:49:05 5.2e+01 -57:21:37 4.2e+02 * 0 * 0 * 0 55196.00 325.127 -2.354 0.737500 3.0e-04 * 0 * 0 * 0 55196.00 17.70 3.5e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.70 * htru_pks RRAT -908 J1549-5722 J1549-5722 15:49:47.9 1.0e-01 -57:22:02 1.0e+00 * 0 * 0 * 0 51685.00 325.198 -2.420 0.497772 8.0e-11 4.70e-17 1.0e-17 * 0 * 0 51685.00 102.00 4.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.86 * pksmb * -909 J1550-5242 J1550-5242 15:50:02.9 5.0e-02 -52:42:07.0 8.0e-01 * 0 * 0 * 0 51335.00 328.144 1.198 0.749659 4.0e-11 1.78e-14 6.0e-18 * 0 * 0 51335.00 337.70 1.8e+00 * 0 * 0 0.32 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.65 * pksmb,htru_pks * -910 J1550-5317 J1550-5317 15:50:04.8 1.0e-01 -53:17:21 2.0e+00 * 0 * 0 * 0 51535.00 327.780 0.737 1.421124 1.3e-10 9.35e-16 1.1e-17 * 0 * 0 51535.00 600.00 8.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.94 * pksmb,htru_pks * - -911 J1550-5418 J1550-5418 15:50:54.1 6.4e-04 -54:18:24.1 2.0e-03 4.800 5.0e-01 -7.900 3.0e-01 * 0 54795.00 327.237 -0.132 2.069833 4.0e-08 2.32e-11 5.0e-14 * 0 * 0 54270.00 830.00 5.0e+01 * 0 * 0 3.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 XRS:1E_1547.0-5408[gg07],SNR:G327.24-0.1 misc AXP,HE -912 J1551-0658 J1551-0658 15:51:07.2 4.0e-02 -06:58:06.5 6.0e-01 * 0 * 0 * 0 55196.00 1.494 34.765 0.007090 0 * 0 * 0 * 0 55196.00 21.60 0 * 0 0.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 GRS:2FGL_J1549.7-0657[naa+12] FermiAssoc HE -913 J1551-4424 J1551-4424 15:51:48.0 5.0e-02 -44:24:42 1.0e+00 * 0 * 0 * 0 55225.00 333.610 7.454 0.674060 2.0e-10 1.88e-16 8.0e-18 * 0 * 0 55225.00 66.50 4.0e-01 * 0 * 0 1.14 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.23 * htru_pks * -914 J1551-5310 J1551-5310 15:51:41.2 6.0e-02 -53:10:59.6 8.0e-01 * 0 * 0 * 0 52204.00 328.034 0.669 0.453394 1.1e-11 1.95e-13 9.0e-19 * 0 * 0 52204.00 491.60 7.0e-01 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.88 * pksmb,htru_pks * -915 J1552-4937 J1552-4937 15:52:13.2 4.0e-04 -49:37:49.7 1.1e-02 -3.000 3.0e+00 -13.000 8.0e+00 * 0 54033.00 330.342 3.372 0.006284 1.2e-15 1.90e-20 4.0e-23 * 0 * 0 54033.00 114.19 8.0e-02 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * pksmb * - -916 J1552+5437 J1552+5437 15:52:53.3 1.7e-04 +54:37:05.7 1.4e-03 * 0 * 0 * 0 56285.00 85.594 47.210 0.002428 6.0e-16 2.80e-21 1.1e-23 * 0 * 0 56285.00 22.90 5.0e-04 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 GRS:3FGL_J1553.1+5437[pbh+17] misc HE[pbh+17] -917 J1552-62 J1552-62 15:52:38 0 -62:14:31 0 * 0 * 0 * 0 55561.00 322.391 -6.427 0.198800 0 * 0 * 0 * 0 55561.00 120.00 0 * 0 * 0 0.34 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.86 * htru_pks * -918 B1550-54 J1553-5456 15:53:59.6 4.0e-01 -54:56:06 7.0e+00 * 0 * 0 * 0 43558.01 327.186 -0.901 1.081328 1.5e-09 1.57e-14 6.0e-17 * 0 * 0 43558.01 210.00 7.0e+00 * 0 13.00 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.79 * mol2,pks70,pksmb,htru_pks * -919 J1554+18 J1554+18 15:54:17 1.2e+02 +18:04 8.0e+00 * 0 * 0 * 0 * 30.685 47.073 * 0 * 0 * 0 * 0 * 24.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * ar327 RRAT[dsm+16] -920 J1554-5209 J1554-5209 15:54:27.1 2.0e-02 -52:09:38.3 4.0e-01 * 0 * 0 * 0 55039.00 329.006 1.194 0.125230 7.0e-13 2.29e-15 5.0e-20 * 0 * 0 55039.00 130.80 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.08 * pksmb,htru_pks RRAT - -921 J1554-5512 J1554-5512 15:54:40.5 4.0e-01 -55:12:33 1.2e+01 * 0 * 0 * 0 51491.00 327.087 -1.175 3.418039 3.0e-09 3.12e-14 1.0e-15 * 0 * 0 51491.00 450.00 1.2e+01 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * pksmb * -922 J1555-0515 J1555-0515 15:55:40.0 1.6e-02 -05:15:57.4 5.0e-01 * 0 * 0 * 0 54985.00 3.973 34.969 0.975410 5.0e-11 2.05e-15 2.0e-18 * 0 * 0 54985.00 23.46 3.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.55 * gb350 * -923 B1552-23 J1555-2341 15:55:33.1 1.7e-02 -23:41:09.9 1.1e+00 * 0 * 0 * 0 49899.00 348.441 22.500 0.532578 1.8e-12 6.94e-16 1.5e-20 -3.030e-26 1.2e-27 * 0 49899.00 51.90 1.5e-02 * 0 7.60 6.0e-01 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * mol2,pks70,pkssw * -924 B1552-31 J1555-3134 15:55:17.9 3.0e-03 -31:34:20.1 1.3e-01 * 0 * 0 * 0 49874.00 342.699 16.757 0.518110 9.0e-13 6.22e-17 9.0e-21 -2.000e-28 5.2e-28 * 0 49874.00 73.05 7.0e-03 * 0 19.00 1.0e+00 1.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * mol2,pks70,pkssw * -925 J1556-5358 J1556-5358 15:56:51.5 3.0e-01 -53:58:55 2.0e+00 * 0 * 0 * 0 51398.00 328.117 -0.436 0.994681 1.4e-10 1.04e-14 8.0e-17 * 0 * 0 51398.00 436.00 3.0e+00 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.02 * pksmb,htru_pks * - -926 J1557-4258 J1557-4258 15:57:00.2 9.0e-04 -42:58:12.6 2.0e-02 * 0 * 0 * 0 48017.00 335.273 7.952 0.329187 2.0e-12 3.30e-16 2.0e-20 * 0 * 0 48017.00 144.50 2.0e-03 * 0 40.00 0 5.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.63 * pks70,pkssw,htru_pks * -927 J1558-5419 J1558-5419 15:58:41.4 1.9e-01 -54:19:26 5.0e+00 * 0 * 0 * 0 51138.00 328.100 -0.870 0.594575 1.5e-10 6.04e-15 6.0e-17 * 0 * 0 51138.00 657.00 3.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.43 * pksmb,htru_pks * -928 J1558-5756 J1558-5756 15:58:30.5 3.0e-02 -57:56:26.1 4.0e-01 * 0 * 0 * 0 53139.00 325.731 -3.604 1.122342 3.0e-11 1.86e-13 4.0e-18 * 0 * 0 53139.00 127.80 1.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.32 * pksmb * -929 J1559-44 J1559-44 15:59 4.0e+00 -44:00 4.0e+01 * 0 * 0 * 0 56657.00 334.872 6.936 1.169890 0 * 0 * 0 * 0 56657.00 122.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.81 * ghrss * -930 B1556-44 J1559-4438 15:59:41.5 8.0e-06 -44:38:45.9 3.5e-05 1.520 1.4e-01 13.150 5.0e-02 0.384 8.1e-02 54100.00 334.540 6.367 0.257056 1.1e-12 1.02e-15 8.0e-20 * 0 * 0 46800.00 56.10 4.0e-01 * 0 110.00 0 40.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.30 * mol1,mol2,pks70,pkssw,htru_pks,ghrs * - -931 B1555-55 J1559-5545 15:59:21.3 1.0e-01 -55:45:40 2.0e+00 * 0 * 0 * 0 43558.03 327.238 -2.024 0.957242 4.0e-10 2.05e-14 1.4e-17 * 0 * 0 43558.03 212.90 3.0e-01 * 0 15.00 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * mol2,pks70,pksmb,htru_pks * -932 J1600-3053 J1600-3053 16:00:51.9 2.8e-06 -30:53:49.3 1.4e-04 * 0 * 0 0.500 8.0e-02 55885.00 344.090 16.451 0.003598 8.0e-18 9.50e-21 7.0e-26 * 0 * 0 55885.00 52.33 2.0e-04 * 0 * 0 2.50 4.0e-01 DD 55878.2619 6.0e-04 14.3485 3.0e-06 8.8017 8.0e-07 181.85 1.3e-02 1.737e-04 9.0e-09 * 0 * 0 * 0 1.80 GRS:2FGL_J1600.7-3053[naa+12],XRS:[pb15] pkssw HE[egc+13] -933 B1557-50 J1600-5044 16:00:53.0 3.0e-03 -50:44:20.9 6.0e-02 * 0 * 0 * 0 46917.00 330.690 1.631 0.192601 7.0e-13 5.06e-15 8.0e-21 * 0 * 0 49215.50 262.79 4.0e-03 * 0 * 0 17.00 1.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.90 * misc,mol1,pks1,pksmb,htru_pks * -934 B1556-57 J1600-5751 16:00:19.9 4.0e-02 -57:51:14.7 6.0e-01 * 0 * 0 * 0 46918.00 325.971 -3.697 0.194454 8.0e-12 2.13e-15 4.0e-19 * 0 * 0 46800.00 176.55 8.0e-02 * 0 20.00 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * mol2,pks1,pks70,pksmb,htru_pks * -935 J1600-5916 J1600-5916 16:00:35.0 4.0e-01 -59:16:59 3.0e+00 * 0 * 0 * 0 53116.00 325.057 -4.798 1.247666 3.0e-10 8.87e-16 7.0e-17 * 0 * 0 53116.00 177.00 4.0e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.66 * pksmb * - -936 J1601-50 J1601-50 16:01:24 3.0e+01 -50:23 7.0e+00 * 0 * 0 * 0 50993.60 330.985 1.846 0.860777 4.0e-06 * 0 * 0 * 0 50993.60 59.00 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * pksmb * -937 J1601-5244 J1601-5244 16:01:27.3 3.0e-01 -52:44:09 3.0e+00 * 0 * 0 * 0 51071.00 329.448 0.065 2.559357 7.0e-09 7.21e-16 1.4e-16 * 0 * 0 51071.00 273.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * pksmb,htru_pks * -938 J1601-5335 J1601-5335 16:01:54.9 6.0e-02 -53:35:43.2 1.1e+00 * 0 * 0 * 0 51156.00 328.935 -0.628 0.288457 1.6e-11 6.24e-14 6.0e-18 * 0 * 0 51156.00 195.20 6.0e-01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.58 * pksmb,htru_pks * -939 J1602-4957 J1602-4957 16:02:18.2 1.0e-01 -49:57:32 4.0e+00 * 0 * 0 * 0 51487.00 331.374 2.070 0.819990 1.4e-10 1.59e-14 3.0e-17 * 0 * 0 51487.00 319.00 4.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * pksmb * -940 B1558-50 J1602-5100 16:02:18.8 2.0e-01 -51:00:02 4.0e+00 * 0 * 0 * 0 47781.46 330.688 1.286 0.864227 5.0e-11 6.96e-14 3.0e-18 * 0 * 0 47781.46 170.79 1.0e-02 * 0 45.00 0 5.70 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * misc,mol2,pks1,pks70,pksmb,htru_pks * - -941 J1603+18 J1603+18 16:03:34 1.2e+02 +18:51 8.0e+00 * 0 * 0 * 0 57022.00 32.849 45.280 0.503000 0 * 0 * 0 * 0 57022.00 29.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 RRAT[dsm+16] -942 J1603-2531 J1603-2531 16:03:04.8 2.7e-03 -25:31:47.3 1.8e-01 * 0 * 0 * 0 50719.00 348.375 19.985 0.283070 1.3e-11 1.59e-15 1.1e-19 1.100e-25 5.0e-26 * 0 50719.00 53.76 4.0e-03 * 0 15.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pks70,pkssw * -943 B1600-27 J1603-2712 16:03:08.0 8.7e-03 -27:13:27.6 5.3e-01 * 0 * 0 * 0 49911.00 347.126 18.767 0.778313 4.0e-12 3.01e-15 3.0e-20 -4.500e-29 8.0e-28 * 0 49911.00 46.20 1.6e-02 * 0 20.00 1.0e+00 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.31 * mol2,pks70,pkssw * -944 J1603-3539 J1603-3539 16:03:53.6 5.0e-03 -35:39:57.1 3.0e-01 * 0 * 0 * 0 51650.00 341.218 12.526 0.141909 9.0e-13 1.24e-16 1.7e-19 * 0 * 0 51650.00 77.50 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 * pkssw,htru_pks * -945 J1603-5657 J1603-5657 16:03:31.4 2.0e-02 -56:57:44.1 8.0e-02 * 0 * 0 * 0 49524.43 326.884 -3.309 0.496077 9.0e-11 2.79e-15 3.0e-18 * 0 * 0 49524.43 264.07 2.0e-02 * 0 8.00 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pks70,pksmb,htru_pks * - -946 J1603-7202 J1603-7202 16:03:35.6 4.0e-05 -72:02:32.7 1.9e-04 -2.460 4.0e-02 -7.330 5.0e-02 1.100 8.0e-01 54500.00 316.630 -14.496 0.014842 7.0e-16 1.56e-20 3.0e-24 * 0 * 0 54500.00 38.05 1.0e-04 * 0 21.00 2.0e+00 3.10 9.0e-01 ELL1 * 0 6.3086 5.0e-10 6.8807 6.0e-07 170.13 0.0e+00 9.338e-06 0.0e+00 50426.2870 1.3e-07 1.600e-06 5.0e-08 -9.200e-06 4.0e-08 0.53 * pks70,pkssw,htru_pks * -947 J1604-31 J1604-31 16:04:24 3.0e+01 -31:39 7.0e+00 * 0 * 0 * 0 57388.00 344.125 15.385 0.883883 5.0e-06 * 0 * 0 * 0 57388.00 63.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pks_superb * -948 J1604-44 J1604-44 16:04:32 4.0e+01 -44:43 7.0e+00 * 0 * 0 * 0 55196.00 335.142 5.744 1.389200 0 * 0 * 0 * 0 55196.00 175.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.82 * * * -949 J1604-4718 J1604-4718 16:04:29.4 4.0e-02 -47:18:47.9 6.0e-01 * 0 * 0 * 0 52897.00 333.399 3.814 0.527466 2.0e-11 4.96e-15 9.0e-18 * 0 * 0 52897.00 52.00 1.6e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.21 * pksmb,htru_pks * -950 B1600-49 J1604-4909 16:04:22.9 1.2e-02 -49:09:58.3 1.4e-01 -30.000 7.0e+00 -1.000 3.0e+00 * 0 43837.00 332.152 2.442 0.327418 1.3e-11 1.02e-15 1.1e-18 * 0 * 0 46800.00 140.80 5.0e-01 * 0 44.00 0 5.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.22 * mol2,pks1,pks70,pksmb,htru_pks * - -951 J1604-7203 J1604-7203 16:04:29.1 5.0e-03 -72:03:30.4 4.0e-02 * 0 * 0 * 0 49529.40 316.670 -14.554 0.341403 4.0e-12 8.40e-17 2.0e-19 * 0 * 0 49529.40 54.37 5.0e-03 * 0 10.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * pks70,htru_pks * -952 J1605+3249 J1605+3249 16:05:18.5 3.0e-02 +32:49:18.0 3.0e-01 -25.000 1.6e+01 142.000 1.5e+01 * 0 52111.00 52.880 47.992 6.880000 0 * 0 * 0 * 0 53735.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J1605.3+3249,OPT:[kkvh11] misc XINS,NRAD -953 J1605-5215 J1605-5215 16:05:19.0 4.0e-01 -52:15:48 5.0e+00 * 0 * 0 * 0 51072.00 330.201 0.031 1.013609 5.0e-10 4.75e-15 1.1e-16 * 0 * 0 51072.00 532.00 4.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.09 * pksmb * -954 B1601-52 J1605-5257 16:05:16.3 2.0e-01 -52:57:34 3.0e+00 * 0 * 0 * 0 43556.87 329.732 -0.484 0.658013 5.0e-10 2.56e-16 1.9e-17 * 0 * 0 43556.87 35.10 3.0e-01 * 0 30.00 0 13.00 1.3e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * misc,mol2,pks1,pks70,pksmb,htru_pks * -955 B1604-00 J1607-0032 16:07:12.1 8.0e-04 -00:32:40.8 3.0e-02 -1.000 1.4e+01 -7.000 9.0e+00 * 0 46973.00 10.715 35.466 0.421816 1.3e-13 3.06e-16 6.0e-22 -2.010e-27 3.0e-29 * 0 46973.00 10.68 1.0e-04 * 0 54.00 8.0e+00 5.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.68 * mol1,mol2,gb3,pks70,gb4 * - -956 J1607-5140 J1607-5140 16:07:49.3 3.0e-01 -51:40:16 4.0e+00 * 0 * 0 * 0 51072.00 330.884 0.213 0.342723 9.0e-11 2.54e-15 4.0e-17 * 0 * 0 51072.00 533.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.12 * pksmb * -957 J1607-6449 J1607-6449 16:07:48.7 8.0e-03 -64:49:43.0 8.0e-02 * 0 * 0 * 0 55192.00 321.953 -9.486 0.298116 9.0e-12 2.49e-17 3.0e-19 * 0 * 0 55192.00 89.39 7.0e-02 * 0 * 0 0.22 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.45 * htru_pks * -958 J1609-1930 J1609-1930 16:09:05.3 1.2e-01 -19:30:08 9.0e+00 * 0 * 0 * 0 53000.00 354.073 23.178 1.557917 7.0e-11 5.09e-16 3.0e-18 * 0 * 0 53000.00 37.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.79 * pkssw * -959 J1609-4616 J1609-4616 16:09:41.1 4.0e-02 -46:16:22.5 4.0e-01 * 0 * 0 * 0 52133.00 334.760 3.986 0.249609 5.0e-12 5.01e-16 4.0e-18 * 0 * 0 52133.00 150.10 6.0e-01 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * pksmb,htru_pks * -960 J1609-5158 J1609-5158 16:09:26.7 5.0e-01 -51:58:18 9.0e+00 * 0 * 0 * 0 51160.00 330.867 -0.179 1.279402 7.0e-10 1.30e-14 1.0e-16 * 0 * 0 51160.00 1069.00 8.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.48 * pksmb * - -961 B1607-13 J1610-1322 16:10:42.7 3.7e-02 -13:22:22 2.5e+00 * 0 * 0 * 0 49691.00 359.427 26.949 1.018393 1.1e-11 2.30e-16 9.0e-20 6.100e-28 1.4e-27 * 0 49691.00 49.13 8.0e-02 * 0 16.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.25 * gb2 * -962 J1610-17 J1610-17 16:10:11 5.7e+01 -17:50 1.5e+01 * 0 * 0 * 0 * 355.611 24.110 * 0 * 0 * 0 * 0 * 52.50 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pkssw RRAT -963 J1610-5006 J1610-5006 16:10:44.3 9.0e-02 -50:06:42.2 1.6e+00 * 0 * 0 * 0 51111.00 332.278 1.050 0.481119 5.0e-11 1.36e-14 1.0e-17 * 0 * 0 51111.00 416.00 3.0e+00 * 0 * 0 1.60 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.67 * pksmb,htru_pks * -964 J1610-5303 J1610-5303 16:10:12.8 9.0e-02 -53:03:49 3.0e+00 * 0 * 0 * 0 51488.00 330.212 -1.061 0.786468 9.0e-11 2.62e-15 1.2e-17 * 0 * 0 51488.00 380.10 8.0e-01 * 0 * 0 0.76 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.35 * pksmb,htru_pks * -965 J1611-01 J1611-01 16:11 2.0e+00 -01:28 3.6e+01 * 0 * 0 * 0 56657.00 10.447 34.161 1.296870 2.0e-05 * 0 * 0 * 0 56657.00 27.21 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.02 * gb350 RRAT - -966 J1611-4811 J1611-4811 16:11:02.7 4.0e-01 -48:11:39 6.0e+00 * 0 * 0 * 0 51686.50 333.621 2.421 1.296850 3.0e-09 1.95e-15 1.4e-16 * 0 * 0 51686.50 221.00 8.0e+00 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb * -967 J1611-4949 J1611-4949 16:11:46.6 1.1e-01 -49:49:57.2 1.4e+00 * 0 * 0 * 0 51071.00 332.590 1.140 0.666438 8.0e-11 5.42e-16 3.0e-17 * 0 * 0 51071.00 556.80 1.8e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.23 * pksmb,htru_pks * -968 B1607-52 J1611-5209 16:11:03.2 3.0e-02 -52:09:23.6 7.0e-01 * 0 * 0 * 0 48360.50 330.923 -0.482 0.182492 4.0e-12 5.17e-15 3.0e-19 * 0 * 0 48360.50 127.34 9.0e-03 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.95 * pks1,pksmb,htru_pks * -969 J1611-5847 J1611-5847 16:11:51.3 6.0e-03 -58:47:42.3 9.0e-02 * 0 * 0 * 0 53071.00 326.465 -5.409 0.354550 1.8e-12 2.01e-18 4.0e-19 * 0 * 0 53071.00 79.90 1.3e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * pksmb,htru_pks * -970 J1612+2008 J1612+2008 16:12:23.4 3.0e-03 +20:08:18.3 4.0e-02 * 0 * 0 * 0 54985.00 35.518 43.743 0.426646 1.2e-12 3.73e-17 1.5e-19 * 0 * 0 54985.00 19.51 3.2e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.74 * gb350 * - -971 J1612-2408 J1612-2408 16:12:26.0 3.0e-02 -24:08:04 2.0e+00 * 0 * 0 * 0 53000.00 351.011 19.446 0.923834 3.0e-11 1.57e-15 1.2e-18 * 0 * 0 53000.00 49.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * pkssw * -972 J1612-49 J1612-49 16:12:54 3.0e+01 -49:27 7.0e+00 * 0 * 0 * 0 56657.00 332.985 1.295 0.192687 1.4e-10 * 0 * 0 * 0 56657.00 439.00 5.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * htru_pks * -973 J1612-5136 J1612-5136 16:12:00.6 3.0e-01 -51:36:54 6.0e+00 * 0 * 0 * 0 51348.00 331.400 -0.187 0.483311 1.2e-10 3.78e-15 1.2e-17 * 0 * 0 51348.00 1173.00 1.2e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.69 * pksmb * -974 J1612-55 J1612-55 16:12:06 3.0e+01 -55:09 7.0e+00 * 0 * 0 * 0 56657.00 328.992 -2.776 0.846907 3.0e-06 * 0 * 0 * 0 56657.00 312.00 8.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.93 * htru_pks * -975 J1612-5805 J1612-5805 16:12:27.8 7.0e-03 -58:05:29.2 1.0e-01 * 0 * 0 * 0 54893.00 327.008 -4.952 0.615520 3.0e-11 9.35e-16 9.0e-19 * 0 * 0 54893.00 171.30 4.0e-01 * 0 * 0 0.31 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * htru_pks * - -976 B1609-47 J1613-4714 16:13:29.0 3.0e-02 -47:14:25.8 8.0e-01 * 0 * 0 * 0 43556.88 334.573 2.835 0.382376 5.0e-11 6.32e-16 2.0e-18 * 0 * 0 43556.88 161.20 3.0e-01 * 0 17.00 0 1.50 1.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.52 * mol2,pks70,pksmb,htru_pks * -977 J1613-5211 J1613-5211 16:13:42.4 1.2e-01 -52:11:21.0 1.8e+00 * 0 * 0 * 0 51072.00 331.197 -0.784 0.457502 7.0e-11 1.92e-14 1.7e-17 * 0 * 0 51072.00 360.10 2.0e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.71 * pksmb,htru_pks * -978 J1613-5234 J1613-5234 16:13:57.4 1.9e-01 -52:34:17 3.0e+00 * 0 * 0 * 0 51111.00 330.962 -1.088 0.655221 1.8e-10 6.63e-15 1.8e-17 * 0 * 0 51111.00 624.00 4.0e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.43 * pksmb,htru_pks * -979 B1612+07 J1614+0737 16:14:40.9 9.0e-03 +07:37:31.0 2.5e-01 * 0 * 0 * 0 49897.00 20.633 38.163 1.206801 5.0e-12 2.36e-15 3.0e-20 -6.900e-28 4.3e-28 * 0 49897.00 21.39 3.0e-04 * 0 9.60 8.0e-01 0.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * mol2,gb2,ar4,gb4 * -980 J1614-2230 J1614-2230 16:14:36.5 1.8e-05 -22:30:31.2 1.4e-03 * 0 * 0 1.500 1.0e-01 56047.00 352.636 20.192 0.003151 4.0e-18 9.62e-21 1.0e-25 * 0 * 0 56047.00 34.92 3.0e-04 * 0 * 0 0.70 0 ELL1 * 0 8.6866 7.0e-11 11.2912 7.0e-08 175.97 0.0e+00 1.336e-06 0.0e+00 56049.0432 7.0e-09 9.400e-08 8.0e-09 -1.333e-06 6.0e-09 0.70 GRS:2FGL_J1614.5-2230[naa+12],OPT:[bk11] misc HE[aaa+09f] - -981 J1614-23 J1614-23 16:14 0 -23:15 0 * 0 * 0 * 0 53370.00 351.956 19.791 0.033500 0 * 0 * 0 * 0 53370.00 52.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * misc * -982 J1614-38 J1614-38 16:14:43 0 -38:46:15 0 * 0 * 0 * 0 55561.00 340.633 8.791 0.464100 0 * 0 * 0 * 0 55561.00 110.00 0 * 0 * 0 0.18 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.53 * htru_pks * -983 J1614-3937 J1614-3937 16:14:31.2 7.0e-03 -39:37:28.8 2.0e-01 * 0 * 0 * 0 49016.00 340.004 8.206 0.407292 6.0e-12 1.59e-16 1.0e-19 * 0 * 0 49016.00 152.44 2.0e-02 * 0 12.00 0 0.42 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.66 * pks70,pkssw,htru_pks * -984 B1610-50 J1614-5048 16:14:11.2 3.0e-02 -50:48:03.5 5.0e-01 * 0 * 0 * 0 50496.00 332.206 0.172 0.231694 8.0e-11 4.95e-13 1.7e-17 -1.600e-21 3.0e-22 * 0 50853.00 582.40 1.0e-01 * 0 * 0 2.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pks1,pksmb,htru_pks * -985 J1614-5144 J1614-5144 16:14:45.7 5.0e-01 -51:44:49 9.0e+00 * 0 * 0 * 0 51111.00 331.619 -0.576 1.534008 5.0e-10 7.44e-15 5.0e-17 * 0 * 0 51111.00 748.00 1.3e+01 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb * - -986 J1614-5402 J1614-5402 16:14:50.3 6.0e-02 -54:02:47 2.0e+00 * 0 * 0 * 0 51482.00 330.040 -2.247 0.572592 6.0e-11 2.90e-17 8.0e-18 * 0 * 0 51482.00 300.00 4.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * pksmb,htru_pks * -987 B1612-29 J1615-2940 16:15:52.8 8.2e-02 -29:40:16 5.0e+00 * 0 * 0 * 0 48390.00 347.387 15.056 2.477568 5.0e-11 1.58e-15 1.9e-19 -2.200e-29 6.0e-28 * 0 48390.00 44.79 1.4e-01 * 0 3.10 5.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * mol2,htru_pks * -988 J1615-5444 J1615-5444 16:15:01.1 8.0e-03 -54:44:32.4 2.0e-01 * 0 * 0 * 0 51482.00 329.578 -2.768 0.360958 4.0e-12 3.38e-16 7.0e-19 * 0 * 0 51482.00 312.60 5.0e-01 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.89 * pksmb,htru_pks * -989 B1611-55 J1615-5537 16:15:40.4 3.0e-02 -55:37:00.5 3.0e-01 * 0 * 0 * 0 48414.50 329.039 -3.464 0.791526 2.0e-11 2.00e-15 8.0e-19 * 0 * 0 48414.50 124.48 8.0e-02 * 0 12.00 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.19 * pks1,pks70,pksmb,htru_pks * -990 J1616-5017 J1616-5017 16:16:29.8 4.0e-02 -50:17:14.9 2.0e-01 * 0 * 0 * 0 56701.00 332.827 0.289 0.491384 1.3e-11 4.66e-14 3.0e-22 * 0 * 0 56701.00 194.00 4.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.48 * htru_pks * - -991 J1616-5109 J1616-5109 16:16:30.9 5.0e-01 -51:09:17 9.0e+00 * 0 * 0 * 0 51161.00 332.226 -0.337 1.219594 8.0e-10 1.91e-14 9.0e-17 * 0 * 0 51161.00 1160.00 1.5e+01 * 0 * 0 1.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * pksmb,htru_pks * -992 J1616-5208 J1616-5208 16:16:23.4 4.0e-01 -52:08:48 4.0e+00 * 0 * 0 * 0 51072.00 331.524 -1.038 1.025831 4.0e-10 2.89e-14 1.0e-16 * 0 * 0 51072.00 488.00 3.0e+00 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.01 * pksmb * -993 J1617-4216 J1617-4216 16:17:23.3 5.0e-02 -42:16:59 1.0e+00 * 0 * 0 * 0 51500.00 338.524 5.924 3.428466 1.3e-10 1.81e-14 1.5e-17 * 0 * 0 51500.00 163.60 5.0e-01 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.28 * pkssw,pksmb * -994 J1617-4608 J1617-4608 16:17:35.1 1.3e-02 -46:08:36.5 3.0e-01 * 0 * 0 * 0 53129.00 335.842 3.139 0.567080 1.0e-11 1.65e-14 1.0e-18 * 0 * 0 53129.00 321.50 1.2e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.08 * pksmb,htru_pks * -995 J1617-5055 J1617-5055 16:17:29.3 1.0e-01 -50:55:13.2 2.0e-01 * 0 * 0 * 0 50829.70 332.499 -0.275 0.069357 3.0e-09 1.35e-13 2.0e-16 * 0 * 0 50829.70 467.00 5.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 GRS:J1616-508[aab+06] misc HE[tkt+98] - -996 J1618-39 J1618-39 16:18:30 5.0e+01 -39:19 1.0e+01 * 0 * 0 * 0 51544.00 340.775 7.887 0.011987 5.0e-09 * 0 * 0 * 0 51544.00 117.50 4.0e-01 * 0 * 0 * 0 ELL1 * 0 22.8000 2.0e-01 10.2400 1.7e-01 * 0 * 0 51577.3700 8.0e-02 * 0 * 0 5.47 * pkssw * -997 J1618-4723 J1618-4723 16:18:06.8 1.0e-02 -47:23:19.1 3.0e-01 * 0 * 0 * 0 51097.00 335.037 2.184 0.203553 5.0e-11 1.99e-15 8.0e-19 * 0 * 0 51097.00 134.70 3.0e-01 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.09 * pksmb,htru_pks * -998 J1619-42 J1619-42 16:19:06 3.0e+01 -42:02 7.0e+00 * 0 * 0 * 0 51975.60 338.927 5.880 1.023152 4.0e-06 * 0 * 0 * 0 51975.60 172.00 0 * 0 * 0 0.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.15 * pksmb * -999 J1620-4927 J1620-4927 16:20:41.5 1.0e-02 -49:27:37.1 3.0e-01 * 0 * 0 * 0 55225.00 333.888 0.408 0.171935 1.5e-12 1.05e-14 1.2e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1620.8-4928[naa+12] FermiBlind NRAD -1000 J1620-5414 J1620-5414 16:20:14.4 1.0e-01 -54:14:51.7 1.6e+00 * 0 * 0 * 0 51830.00 330.467 -2.943 1.156360 9.0e-11 6.74e-17 3.0e-18 * 0 * 0 51830.00 71.00 8.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * pksmb * - -1001 J1621-5039 J1621-5039 16:21:04.7 1.6e-01 -50:39:48.6 1.8e+00 * 0 * 0 * 0 51072.00 333.084 -0.490 1.084020 1.6e-10 1.30e-14 5.0e-17 * 0 * 0 51072.00 261.00 3.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * -1002 J1621-5243 J1621-5243 16:21:55.8 1.0e-01 -52:43:44 3.0e+00 * 0 * 0 * 0 51151.00 331.718 -2.045 0.371924 6.0e-11 7.68e-16 1.6e-17 * 0 * 0 51151.00 363.00 4.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.43 * pksmb,htru_pks * -1003 J1622-3751 J1622-3751 16:22:04.5 4.0e-02 -37:51:13.9 9.0e-01 * 0 * 0 * 0 55070.00 342.322 8.419 0.731463 5.0e-10 2.57e-15 1.0e-17 * 0 * 0 55070.00 153.80 5.0e-01 * 0 * 0 0.20 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.60 * htru_pks * -1004 J1622-4332 J1622-4332 16:22:45.4 8.0e-03 -43:32:28.2 3.0e-01 * 0 * 0 * 0 49100.00 338.332 4.339 0.916938 2.0e-11 1.56e-15 4.0e-19 * 0 * 0 49100.00 230.68 2.0e-02 * 0 16.00 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.77 * pks70,pksmb,htru_pks * -1005 J1622-4347 J1622-4347 16:22:30.0 1.8e-02 -43:47:21.4 3.0e-01 * 0 * 0 * 0 52897.00 338.122 4.198 0.457681 9.0e-12 5.05e-15 4.0e-18 * 0 * 0 52897.00 177.00 3.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb,htru_pks * - -1006 J1622-4802 J1622-4802 16:22:47.1 1.4e-01 -48:02:13.1 1.4e+00 * 0 * 0 * 0 51033.00 335.139 1.170 0.265072 3.0e-11 3.07e-16 1.5e-17 * 0 * 0 51033.00 364.30 1.3e+00 * 0 * 0 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.32 * pksmb,htru_pks * -1007 J1622-4845 J1622-4845 16:22:05.4 1.0e-01 -48:46:29 4.0e+00 * 0 * 0 * 0 56715.00 334.534 0.732 0.735092 8.0e-11 1.10e-16 2.0e-19 * 0 * 0 56715.00 292.00 7.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * htru_pks * -1008 J1622-4944 J1622-4944 16:22:37.5 3.0e-01 -49:44:30 3.0e+00 * 0 * 0 * 0 51072.00 333.911 -0.013 1.072968 3.0e-10 1.71e-14 7.0e-17 * 0 * 0 51072.00 755.00 4.0e+00 * 0 * 0 0.52 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.41 * pksmb,htru_pks * -1009 J1622-4950 J1622-4950 16:22:44.8 3.0e-02 -49:50:54.4 5.0e-01 * 0 * 0 * 0 56563.00 333.849 -0.102 4.327020 1.5e-08 2.78e-12 1.4e-15 1.090e-21 3.0e-23 * 0 56563.00 820.00 3.0e+01 * 0 * 0 4.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 XRS:CXOU_J162244.8-495054,SNR:G333.9+0.0 htru_pks AXP,HE -1010 J1622-6617 J1622-6617 16:22:03.6 4.0e-04 -66:17:16.9 6.0e-03 -3.000 2.0e+00 6.000 4.0e+00 * 0 55253.10 321.978 -11.560 0.023623 1.2e-14 5.88e-20 3.0e-22 * 0 * 0 55253.10 88.02 9.0e-03 * 0 * 0 0.60 0 ELL1 * 0 1.6406 8.0e-09 0.9794 5.0e-06 344.05 0.0e+00 1.456e-05 0.0e+00 55253.0873 2.0e-06 -4.000e-06 1.2e-06 1.400e-05 1.1e-06 4.05 * htru_pks * - -1011 J1623-0841 J1623-0841 16:23:42.6 9.7e-03 -08:41:36.6 5.0e-01 * 0 * 0 * 0 55079.00 5.774 27.367 0.503015 1.0e-11 1.96e-15 7.0e-19 * 0 * 0 55079.00 59.79 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.65 * gb350 RRAT -1012 B1620-09 J1623-0908 16:23:17.6 4.3e-03 -09:08:49.2 2.5e-01 * 0 * 0 * 0 48715.00 5.297 27.178 1.276446 1.7e-12 2.58e-15 1.0e-20 4.000e-28 8.0e-29 * 0 48715.00 68.18 1.0e-02 * 0 6.00 4.0e-01 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * mol2,pks70,pkssw * -1013 B1620-26 J1623-2631 16:23:38.2 2.0e-04 -26:31:53.7 2.0e-03 -13.400 1.0e+00 -25.000 5.0e+00 * 0 48725.00 350.976 15.960 0.011076 1.8e-15 6.71e-19 4.0e-23 1.928e-23 1.4e-26 6.390e-33 2.5e-34 48725.00 62.86 5.0e-04 -0.001 2.0e-04 15.00 0 1.60 3.0e-01 BT 48728.2624 1.2e-04 191.4428 2.0e-05 64.8095 4.0e-06 117.13 2.0e-04 2.532e-02 1.2e-07 * 0 * 0 * 0 1.80 GC:M4,XRS:[pkgw07] misc,pks70,jb1,pkssw * -1014 B1620-42 J1623-4256 16:23:48.3 2.0e-02 -42:56:52 6.0e+00 * 0 * 0 * 0 43556.89 338.890 4.620 0.364590 4.0e-10 1.02e-15 1.4e-17 * 0 * 0 43556.89 295.00 5.0e+00 * 0 24.00 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.56 * mol2,pkssw,pksmb,htru_pks * -1015 J1623-4949 J1623-4949 16:23:54.8 1.5e-01 -49:49:04 3.0e+00 * 0 * 0 * 0 51073.00 334.003 -0.214 0.725732 9.0e-11 4.21e-14 4.0e-17 * 0 * 0 51073.00 183.30 1.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.36 * pksmb,htru_pks * - -1016 J1623-5005 J1623-5005 16:23:04.1 1.0e-02 -50:05:15.1 2.0e-01 * 0 * 0 * 0 55716.00 333.716 -0.307 0.085072 8.0e-13 4.16e-15 3.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1622.9-5004[aaa+15] FermiBlind NRAD -1017 J1624-4041 J1624-4041 16:24:09.9 9.0e-03 -40:41:29.7 3.0e-01 * 0 * 0 * 0 55716.00 340.558 6.149 0.167861 9.0e-13 4.72e-15 3.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1624.2-4041[aaa+15] FermiBlind NRAD -1018 J1624-4411 J1624-4411 16:24:21.3 1.8e-02 -44:11:33.8 5.0e-01 * 0 * 0 * 0 53058.00 338.069 3.677 0.233164 4.0e-12 7.99e-16 8.0e-19 * 0 * 0 53058.00 139.40 1.4e+00 * 0 * 0 0.48 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.34 * pksmb,htru_pks * -1019 J1624-4613 J1624-4613 16:24:18.7 3.0e-01 -46:13:02 9.0e+00 * 0 * 0 * 0 53500.00 336.616 2.265 0.871243 4.0e-10 6.07e-17 6.1e-17 * 0 * 0 53500.00 224.20 1.9e+00 * 0 * 0 0.39 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.78 * pksmb,htru_pks * -1020 J1624-4721 J1624-4721 16:24:54.8 8.0e-02 -47:21:27 2.0e+00 * 0 * 0 * 0 51683.00 335.874 1.393 0.448723 7.0e-11 4.15e-15 9.0e-18 * 0 * 0 51683.00 364.00 5.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.63 * pksmb * - -1021 J1625-4048 J1625-4048 16:25:10.3 2.0e-02 -40:48:21.5 7.0e-01 * 0 * 0 * 0 49012.00 340.609 5.932 2.355278 2.0e-10 4.43e-16 3.0e-18 * 0 * 0 49012.00 145.00 6.0e+00 * 0 17.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.61 * pks70,pkssw,htru_pks * -1022 J1625-4904 J1625-4904 16:25:18.0 1.3e-01 -49:04:33.6 1.9e+00 * 0 * 0 * 0 51073.00 334.690 0.145 0.460339 7.0e-11 1.68e-14 2.0e-17 * 0 * 0 51073.00 684.80 1.7e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.25 * pksmb,htru_pks * -1023 J1625-4913 J1625-4913 16:25:16.4 2.0e-02 -49:13:44.6 4.0e-01 * 0 * 0 * 0 54895.00 334.578 0.041 0.355856 5.0e-11 6.65e-15 1.0e-18 * 0 * 0 54895.00 720.00 1.0e+00 * 0 * 0 0.22 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * htru_pks * -1024 J1626-44 J1626-44 16:27:00 3.0e+01 -44:22 7.0e+00 * 0 * 0 * 0 51718.60 338.274 3.216 0.308354 5.0e-07 * 0 * 0 * 0 51718.60 269.20 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.31 * pksmb * -1025 J1626-4537 J1626-4537 16:26:48.9 1.0e-02 -45:37:25.6 5.0e-01 * 0 * 0 * 0 51683.00 337.346 2.367 0.370141 9.0e-12 8.28e-15 1.1e-18 * 0 * 0 51683.00 237.00 7.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * pksmb,htru_pks * - -1026 J1626-4807 J1626-4807 16:26:42.5 3.0e-01 -48:07:54 4.0e+00 * 0 * 0 * 0 51207.00 335.530 0.636 0.293928 7.0e-11 1.75e-14 1.2e-17 * 0 * 0 51207.00 817.00 6.0e+00 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.51 * pksmb,htru_pks * -1027 J1626-6621 J1626-6621 16:26:06.8 9.0e-03 -66:21:15.2 8.0e-02 * 0 * 0 * 0 55195.00 322.214 -11.901 0.450868 1.0e-11 7.66e-16 5.0e-19 * 0 * 0 55195.00 84.11 5.0e-02 * 0 * 0 0.19 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * htru_pks * -1028 J1627+1419 J1627+1419 16:27:18.7 6.0e-03 +14:19:20.7 1.0e-01 * 0 * 0 * 0 48957.50 30.030 38.319 0.490857 2.0e-12 3.93e-16 3.0e-18 * 0 * 0 48957.50 32.17 8.4e-04 * 0 6.10 3.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * ar4 * -1029 J1627-4706 J1627-4706 16:27:28.7 4.0e-02 -47:06:50.2 7.0e-01 * 0 * 0 * 0 53165.00 336.352 1.250 0.140746 6.0e-12 1.73e-15 6.0e-19 * 0 * 0 53165.00 456.10 1.8e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.41 * pksmb * -1030 J1627-4845 J1627-4845 16:27:10.3 1.2e-01 -48:45:08 3.0e+00 * 0 * 0 * 0 49200.00 335.137 0.150 0.612331 9.0e-12 3.64e-15 1.0e-17 * 0 * 0 49200.00 557.80 7.0e-01 * 0 * 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * misc,pksmb,htru_pks * - -1031 J1627-49 J1627-49 16:27:42 3.0e+01 -49:54 7.0e+00 * 0 * 0 * 0 56657.00 334.370 -0.709 0.623678 3.0e-06 * 0 * 0 * 0 56657.00 594.00 1.6e+01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * htru_pks * -1032 J1627-51 J1627-51 16:27:30 3.0e+01 -51:08 7.0e+00 * 0 * 0 * 0 56657.00 333.459 -1.541 0.439684 5.0e-07 * 0 * 0 * 0 56657.00 201.00 4.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * htru_pks * -1033 J1627-5547 J1627-5547 16:27:21.0 2.0e-02 -55:47:52.4 4.0e-01 * 0 * 0 * 0 51561.00 330.074 -4.756 0.352464 7.0e-11 7.38e-16 2.0e-18 * 0 * 0 51561.00 166.20 9.0e-01 * 0 * 0 0.65 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * pksmb,htru_pks * -1034 J1627-5936 J1627-5936 16:27:52.5 4.0e-02 -59:36:55.3 2.0e-01 * 0 * 0 * 0 55188.00 327.341 -7.438 0.354234 6.0e-11 8.00e-18 3.0e-18 * 0 * 0 55188.00 99.30 2.0e-01 * 0 * 0 1.62 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.39 * htru_pks * -1035 J1627+86 J1627+86 16:27 5.0e+00 +86:54 4.0e+00 * 0 * 0 * 0 56292.00 120.071 28.926 0.395785 8.7e-06 * 0 * 0 * 0 56292.00 46.00 1.0e+00 * 0 5.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.62 * gbncc * - -1036 J1628-3205 J1628-3205 16:28:07.0 0 -32:05:48.9 0 * 0 * 0 * 0 55561.00 347.428 11.482 0.003210 0 * 0 * 0 * 0 55561.00 42.10 0 * 0 * 0 * 0 BT * 0 0.2100 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 GRS:2FGL_J1628.3-3206[naa+12],OPT:[lht14 FermiAssoc * -1037 J1628-4804 J1628-4804 16:28:26.8 1.4e-01 -48:04:59 3.0e+00 * 0 * 0 * 0 51073.00 335.766 0.461 0.865971 1.2e-10 1.24e-15 4.0e-17 * 0 * 0 51073.00 952.00 3.0e+00 * 0 * 0 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.88 * pksmb,htru_pks * -1038 J1628-4828 J1628-4828 16:28:30.9 4.0e-01 -48:28:42 9.0e+00 * 0 * 0 * 0 51393.00 335.488 0.180 4.137539 1.6e-09 1.75e-14 1.8e-16 * 0 * 0 51393.00 1209.00 1.5e+01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pksmb * -1039 J1629-3636 J1629-3636 16:29:35.8 9.0e-02 -36:36:13 2.0e+00 * 0 * 0 * 0 55000.00 344.280 8.198 2.988193 9.0e-09 7.00e-15 1.0e-16 * 0 * 0 55000.00 101.00 1.0e+00 * 0 * 0 0.20 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.23 * htru_pks * -1040 J1629+43 J1629+43 16:29 2.0e+00 +43:59 1.8e+01 * 0 * 0 * 0 56292.00 69.059 43.593 0.181173 1.6e-06 * 0 * 0 * 0 56292.00 7.30 8.0e-01 * 0 3.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * gbncc * - -1041 J1629-6902 J1629-6902 16:29:08.7 4.0e-04 -69:02:45.2 3.0e-03 * 0 * 0 * 0 51600.00 320.371 -13.926 0.006001 1.9e-15 1.00e-20 3.0e-22 * 0 * 0 51600.00 29.49 3.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.96 * pkssw,htru_pks * -1042 J1630+37 J1630+37 16:30 0 +37 0 * 0 * 0 * 0 55561.00 59.441 43.294 0.003320 0 * 0 * 0 * 0 55561.00 14.10 0 * 0 * 0 * 0 BT * 0 12.5000 0 * 0 * 0 * 0 * 0 * 0 * 0 1.18 GRS:2FGL_J1630.3+3732 FermiAssoc * -1043 J1630-4719 J1630-4719 16:30:02.4 5.0e-02 -47:19:42 2.0e+00 * 0 * 0 * 0 51340.00 336.497 0.787 0.559071 4.0e-11 1.42e-14 1.9e-17 * 0 * 0 51340.00 489.60 1.6e+00 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pksmb,htru_pks * -1044 B1626-47 J1630-4733 16:30:37.4 4.0e-02 -47:33:05.0 8.0e-01 * 0 * 0 * 0 48414.00 336.403 0.562 0.575971 2.0e-11 2.23e-14 2.0e-18 * 0 * 0 48414.00 498.00 5.0e+00 * 0 * 0 4.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pks1,pksmb,htru_pks * -1045 J1631-1612 J1631-1612 16:31:52.4 3.0e-02 -16:12:52.0 3.0e+00 * 0 * 0 * 0 55766.00 0.577 21.193 0.677684 4.0e-11 1.10e-15 4.0e-18 * 0 * 0 55766.00 33.77 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.84 * gb350 * - -1046 J1631-4155 J1631-4155 16:31:18.3 7.0e-02 -41:55:03.7 2.0e+00 * 0 * 0 * 0 53082.00 340.596 4.332 0.551241 4.0e-11 8.81e-18 7.3e-18 * 0 * 0 53082.00 235.00 4.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.79 * pksmb * -1047 J1632-1013 J1632-1013 16:32:54.2 2.0e-02 -10:13:18 1.0e+00 * 0 * 0 * 0 52820.00 5.910 24.636 0.717637 2.0e-11 6.60e-17 1.0e-18 * 0 * 0 52820.00 89.90 2.0e-01 * 0 * 0 0.15 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.42 * misc * -1048 J1632-4509 J1632-4509 16:32:14.0 1.7e-01 -45:09:09 9.0e+00 * 0 * 0 * 0 51973.00 338.343 2.002 1.046810 4.0e-10 1.49e-14 9.0e-17 * 0 * 0 51973.00 412.00 4.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.48 * pksmb,htru_pks * -1049 J1632-4621 J1632-4621 16:32:49.8 1.6e-02 -46:21:48.6 9.0e-01 * 0 * 0 * 0 51291.00 337.527 1.100 1.709154 4.0e-11 7.60e-14 3.0e-17 * 0 * 0 51291.00 562.90 8.0e-01 * 0 * 0 0.99 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.10 * pksmb,htru_pks * -1050 J1632-4757 J1632-4757 16:32:16.7 6.0e-02 -47:57:34.3 1.4e+00 * 0 * 0 * 0 51909.00 336.296 0.080 0.228564 1.0e-11 1.51e-14 1.0e-18 * 0 * 0 51909.00 574.20 5.0e-01 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.84 * pksmb,htru_pks * - -1051 J1632-4818 J1632-4818 16:32:39.7 7.0e-02 -48:18:52.6 1.4e+00 * 0 * 0 * 0 51522.00 336.080 -0.209 0.813453 7.0e-11 6.50e-13 3.0e-18 1.090e-23 3.0e-25 * 0 51522.00 758.00 5.0e+00 * 0 * 0 0.39 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.31 SNR:G336.1-0.2(?)[mbc+02] pksmb * -1052 J1633-2009 J1633-2009 16:33:55.3 6.0e-02 -20:10:09 5.0e+00 * 0 * 0 * 0 54993.00 357.631 18.331 0.935557 6.0e-11 1.07e-15 3.0e-18 * 0 * 0 54993.00 48.19 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.35 * gb350 * -1053 B1630-44 J1633-4453 16:33:47.0 6.0e-03 -44:53:07.8 2.0e-01 * 0 * 0 * 0 48360.60 338.725 1.982 0.436507 4.0e-12 6.20e-15 2.0e-19 * 0 * 0 48360.60 474.10 3.0e-01 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.92 * pks1,pksmb,htru_pks * -1054 J1633-4805 J1633-4805 16:33:05.4 1.0e-01 -48:05:36 4.0e+00 * 0 * 0 * 0 51588.00 336.290 -0.110 0.710830 1.6e-10 7.69e-14 1.6e-17 * 0 * 0 51588.00 1120.00 9.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.17 * pksmb * -1055 B1629-50 J1633-5015 16:33:00.1 6.0e-03 -50:15:08.1 2.0e-01 * 0 * 0 * 0 48360.60 334.699 -1.569 0.352142 3.0e-12 3.79e-15 2.0e-19 * 0 * 0 48360.60 398.41 8.0e-02 * 0 * 0 5.70 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.01 * pks1,pksmb,htru_pks * - -1056 J1634-49 J1634-49 16:34:30 3.0e+01 -49:52 7.0e+00 * 0 * 0 * 0 56657.00 335.145 -1.484 0.684936 2.0e-11 * 0 * 0 * 0 56657.00 649.00 1.2e+01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.68 * htru_pks * -1057 J1634-5107 J1634-5107 16:34:04.9 8.0e-02 -51:07:45.6 9.0e-01 * 0 * 0 * 0 54420.00 334.171 -2.290 0.507356 1.3e-11 1.57e-15 1.3e-19 -1.800e-24 7.0e-25 * 0 54420.00 372.80 2.0e+00 * 0 * 0 0.05 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * pksmb * -1058 J1634-5640 J1634-5640 16:34:19.1 2.0e-02 -56:40:48.7 3.0e-01 * 0 * 0 * 0 55010.00 330.090 -6.066 0.224201 8.0e-11 4.10e-17 2.0e-18 * 0 * 0 55010.00 148.00 1.0e-01 * 0 * 0 0.24 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.47 * htru_pks * -1059 J1635-1511 J1635-1511 16:35:47.3 4.0e-02 -15:11:52 3.0e+00 * 0 * 0 * 0 53000.00 2.058 21.078 1.179387 8.0e-11 2.32e-16 4.0e-18 * 0 * 0 53000.00 54.00 8.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.44 * pkssw * -1060 B1633+24 J1635+2418 16:35:25.7 1.5e-02 +24:18:47.3 2.5e-01 * 0 * 0 * 0 48736.00 42.993 39.889 0.490507 1.7e-12 1.19e-16 1.0e-20 8.700e-28 4.7e-28 * 0 48736.00 24.27 4.4e-03 * 0 9.10 8.0e-01 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.43 * misc * - -1061 J1635-26 J1635-26 16:35:52 0 -26:16:17 0 * 0 * 0 * 0 55561.00 353.051 14.076 0.510500 0 * 0 * 0 * 0 55561.00 100.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.54 * htru_pks * -1062 J1635-4513 J1635-4513 16:35:55.4 3.0e-01 -45:13:27 1.7e+01 * 0 * 0 * 0 51306.00 338.731 1.475 1.594746 8.0e-10 3.60e-15 3.0e-16 * 0 * 0 51306.00 416.00 5.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * pksmb,htru_pks * -1063 J1635-4735 J1635-4735 16:35:51.8 2.0e-02 -47:35:23.3 2.0e-01 * 0 * 0 * 0 54734.00 336.976 -0.111 2.594578 6.0e-06 * 0 * 0 * 0 54734.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_1627-41,SNR:G337.0-0.1(?)[wkv+99 misc AXP,NRAD -1064 J1635-4944 J1635-4944 16:35:55.4 1.0e-01 -49:44:36 2.0e+00 * 0 * 0 * 0 51447.00 335.391 -1.570 0.671964 9.0e-11 8.79e-15 3.0e-17 * 0 * 0 51447.00 474.00 6.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * pksmb,htru_pks * -1065 B1630-59 J1635-5954 16:35:09.0 7.0e-02 -59:54:41 1.0e+00 * 0 * 0 * 0 43564.05 327.747 -8.313 0.529121 1.1e-10 1.37e-15 5.0e-18 * 0 * 0 43564.05 134.90 1.3e+00 * 0 7.00 0 1.56 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * mol2,pks70,pkssw,htru_pks * - -1066 J1636-4440 J1636-4440 16:36:16.5 2.0e-02 -44:40:25 1.0e+00 * 0 * 0 * 0 54411.50 339.180 1.799 0.206649 3.0e-11 4.67e-14 4.0e-18 * 0 * 0 54411.50 449.00 1.0e+00 * 0 * 0 0.38 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.46 * pksmb,htru_pks * -1067 J1636-4803 J1636-4803 16:36:32.0 2.0e-01 -48:03:55 9.0e+00 * 0 * 0 * 0 51299.00 336.700 -0.515 1.204644 3.0e-10 2.07e-14 1.5e-16 * 0 * 0 51299.00 503.00 7.0e+00 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.76 * pksmb,htru_pks * -1068 J1636-4933 J1636-4933 16:36:55.1 5.0e-02 -49:33:10 3.0e+00 * 0 * 0 * 0 51305.00 335.641 -1.561 0.430367 4.0e-11 1.51e-15 1.3e-17 * 0 * 0 51305.00 542.70 1.5e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.22 * pksmb,htru_pks * -1069 J1637-4335 J1637-4335 16:37:56.8 1.0e-01 -43:35:42 5.0e+00 * 0 * 0 * 0 51707.00 340.182 2.300 0.771367 1.8e-10 3.62e-15 3.0e-17 * 0 * 0 51707.00 608.00 8.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pksmb * -1070 J1637-4450 J1637-4450 16:37:53.1 3.0e-02 -44:50:26.3 8.0e-01 * 0 * 0 * 0 53283.00 339.248 1.475 0.252870 2.0e-11 5.75e-16 2.0e-18 * 0 * 0 53283.00 470.70 8.0e-01 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.45 * pksmb,htru_pks * - -1071 B1634-45 J1637-4553 16:37:58.7 7.0e-03 -45:53:27.3 3.0e-01 * 0 * 0 * 0 48360.60 338.478 0.761 0.118771 5.0e-13 3.19e-15 5.0e-20 * 0 * 0 48360.60 193.23 7.0e-02 * 0 15.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pks1,pksmb,htru_pks * -1072 J1637-46 J1637-46 16:37:36 3.0e+01 -46:13 7.0e+00 * 0 * 0 * 0 50842.90 338.192 0.592 0.493091 2.0e-06 * 0 * 0 * 0 50842.90 660.40 0 * 0 * 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.74 * pksmb * -1073 J1637-4642 J1637-4642 16:37:13.7 8.0e-02 -46:42:15 1.0e+00 * 0 * 0 * 0 51571.00 337.788 0.312 0.154027 1.0e-11 5.92e-14 8.0e-18 * 0 * 0 51571.00 419.10 3.0e-01 * 0 * 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * pksmb,htru_pks * -1074 J1637-4721 J1637-4721 16:37:11.4 1.0e-01 -47:21:03 8.0e+00 * 0 * 0 * 0 51296.00 337.304 -0.117 1.165741 2.0e-10 4.44e-15 1.3e-16 * 0 * 0 51296.00 448.00 7.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.42 * pksmb * -1075 J1637-4816 J1637-4816 16:37:58.6 4.0e-02 -48:16:12 2.0e+00 * 0 * 0 * 0 54115.90 336.710 -0.831 0.837365 3.0e-10 5.83e-15 1.5e-17 * 0 * 0 54115.90 738.00 2.0e+00 * 0 * 0 0.74 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.34 * pksmb * - -1076 J1638-3815 J1638-3815 16:38:37.3 1.8e-02 -38:15:03.4 7.0e-01 * 0 * 0 * 0 52135.00 344.264 5.764 0.698261 2.0e-10 7.70e-17 3.0e-18 * 0 * 0 52135.00 238.00 1.1e+00 * 0 * 0 0.67 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.04 * pksmb,htru_pks * -1077 J1638-3951 J1638-3951 16:38:15.5 5.0e-02 -39:51:59 1.0e+00 * 0 * 0 * 0 54863.30 343.005 4.744 0.771130 8.0e-11 5.90e-16 4.0e-17 * 0 * 0 54863.30 249.00 4.0e+00 * 0 * 0 0.21 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.66 * pksmb * -1078 J1638-42 J1638-42 16:38:31 0 -42:33:56 0 * 0 * 0 * 0 55561.00 341.019 2.910 0.510900 0 * 0 * 0 * 0 55561.00 410.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 22.69 * htru_pks * -1079 J1638-4344 J1638-4344 16:38:52.8 5.0e-02 -43:44:04 1.0e+00 * 0 * 0 * 0 51707.00 340.191 2.081 1.121944 7.0e-11 2.50e-17 1.6e-17 * 0 * 0 51707.00 237.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 * pksmb,htru_pks * -1080 J1638-44 J1638-44 16:38:18 3.0e+01 -44:40 7.0e+00 * 0 * 0 * 0 * 339.427 1.537 0.568057 3.0e-10 * 0 * 0 * 0 * 494.00 5.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.50 * htru_pks * - -1081 J1638-4417 J1638-4417 16:38:46.2 1.4e-02 -44:17:03.6 4.0e-01 * 0 * 0 * 0 56657.00 339.768 1.730 0.117802 9.0e-13 1.61e-15 1.2e-19 * 0 * 0 56657.00 436.40 3.0e-01 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.03 * pksmb,htru_pks * -1082 J1638-4608 J1638-4608 16:38:22.9 1.0e-02 -46:08:11.6 5.0e-01 * 0 * 0 * 0 51480.00 338.343 0.544 0.278137 6.0e-12 5.15e-14 9.0e-19 * 0 * 0 51480.00 423.10 1.0e-01 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * pksmb,htru_pks * -1083 J1638-4725 J1638-4725 16:38:12.9 1.1e-01 -47:25:32 3.0e+00 * 0 * 0 * 0 52651.00 337.364 -0.296 0.763933 3.0e-07 4.79e-15 9.0e-16 1.800e-23 1.8e-23 * 0 52651.00 552.10 1.4e+00 * 0 * 0 0.32 0 MSS 53502.1000 1.0e+00 1940.9000 8.0e-01 2382.0000 1.9e+01 88.50 1.1e+00 9.550e-01 8.0e-03 * 0 * 0 * 0 4.74 * pksmb * -1084 J1638-5226 J1638-5226 16:38:59.9 3.0e-02 -52:26:57.4 4.0e-01 * 0 * 0 * 0 52145.00 333.702 -3.739 0.340503 6.0e-12 2.65e-15 4.0e-18 * 0 * 0 52145.00 170.10 1.5e+00 * 0 * 0 0.60 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.22 * pksmb,htru_pks * -1085 J1639-4359 J1639-4359 16:39:06.8 4.0e-02 -43:59:52 2.0e+00 * 0 * 0 * 0 51490.00 340.023 1.875 0.587559 4.0e-11 1.50e-17 1.5e-17 * 0 * 0 51490.00 258.90 1.6e+00 * 0 * 0 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.89 * pksmb,htru_pks * - -1086 B1635-45 J1639-4604 16:39:21.2 1.1e-02 -46:04:33.1 4.0e-01 * 0 * 0 * 0 48360.70 338.500 0.459 0.529116 8.0e-12 5.78e-15 4.0e-19 * 0 * 0 48360.70 258.91 4.0e-02 * 0 15.00 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.79 * pks1,pks70,pksmb,htru_pks * -1087 J1640+2224 J1640+2224 16:40:16.7 3.2e-06 +22:24:08.8 6.4e-05 * 0 * 0 0.660 7.0e-02 55366.00 41.051 38.271 0.003163 2.0e-18 2.82e-21 6.0e-26 * 0 * 0 55366.00 18.46 8.0e-03 * 0 * 0 2.00 1.0e+00 DD 55310.8528 4.0e-04 175.4607 7.0e-09 55.3297 3.0e-06 50.73 8.0e-04 7.973e-04 1.3e-08 * 0 * 0 * 0 1.52 GRS:[hsg+14] ar4 HE -1088 J1640-4631 J1640-4631 16:40:43.5 1.0e-02 -46:31:35.4 2.0e-01 * 0 * 0 * 0 56466.00 338.320 -0.017 0.206443 1.8e-09 9.76e-13 5.0e-15 * 0 * 0 56466.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.75 SNR:PWN:G338.3-0.0[wg96],GRS:HESS_J1640- misc NRAD -1089 J1640-4648 J1640-4648 16:40:47.6 6.0e-02 -46:48:45 2.0e+00 * 0 * 0 * 0 51608.00 338.114 -0.215 0.178352 1.3e-11 8.06e-16 1.3e-18 * 0 * 0 51608.00 474.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * pksmb * -1090 B1636-47 J1640-4715 16:40:13.1 3.0e-02 -47:15:35.3 8.0e-01 * 0 * 0 * 0 48360.70 337.714 -0.439 0.517405 2.0e-11 4.20e-14 8.0e-19 * 0 * 0 48360.70 586.32 6.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pks1,pksmb,htru_pks * - -1091 J1640-4951 J1640-4951 16:40:43.5 3.0e-02 -49:51:02.1 7.0e-01 * 0 * 0 * 0 51486.00 335.829 -2.218 0.739099 3.0e-11 3.34e-16 5.0e-18 * 0 * 0 51486.00 411.40 1.9e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.91 * pksmb * -1092 J1641-2347 J1641-2347 16:41:18.0 6.0e-02 -23:47:36 6.0e+00 * 0 * 0 * 0 51500.00 355.831 14.714 1.091008 1.6e-11 4.11e-17 1.5e-18 * 0 * 0 51500.00 27.70 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 * pkssw * -1093 B1639+36A J1641+3627A 16:41:40.8 3.0e-03 +36:27:15.4 6.0e-02 * 0 * 0 * 0 47666.21 59.000 40.914 0.010378 6.0e-13 * 0 * 0 * 0 47666.21 30.36 4.0e-02 * 0 3.00 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1094 B1639+36B J1641+3627B 16:41:41 9.0e+00 +36:27:37 1.0e+02 * 0 * 0 * 0 47149.18 59.008 40.914 0.003528 5.0e-09 * 0 * 0 * 0 47149.18 29.50 1.5e+00 * 0 * 0 0.02 0 BT 47149.1835 1.8e-03 1.2591 3.0e-06 1.3890 2.0e-03 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1095 J1641+3627C J1641+3627C 16:41:41 0 +36:27:37 0 * 0 * 0 * 0 53735.00 59.008 40.914 0.003722 1.0e-06 * 0 * 0 * 0 53735.00 30.10 1.0e-01 * 0 * 0 0.03 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * - -1096 J1641+3627D J1641+3627D 16:41:41 0 +36:27:37 0 * 0 * 0 * 0 53735.00 59.008 40.914 0.003118 1.0e-06 * 0 * 0 * 0 53735.00 30.60 1.0e-01 * 0 * 0 0.02 0 BT * 0 0.5920 4.0e-03 0.9240 1.0e-03 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1097 J1641+3627E J1641+3627E 16:41:41 9.0e+00 +36:27:37 1.0e+02 * 0 * 0 * 0 53735.00 59.008 40.914 0.002487 1.0e-06 * 0 * 0 * 0 53735.00 30.30 1.0e-01 * 0 * 0 0.01 0 BT * 0 0.1170 8.0e-03 0.0370 4.0e-03 * 0 * 0 * 0 * 0 * 0 6.50 GC:M13 misc * -1098 J1643-1224 J1643-1224 16:43:38.1 9.0e-06 -12:24:58.6 6.0e-04 5.940 5.0e-02 3.940 1.8e-01 1.270 1.9e-01 54500.00 5.669 21.218 0.004622 2.0e-16 1.85e-20 1.1e-24 * 0 * 0 54500.00 62.41 0 -0.001 5.0e-06 75.00 3.0e+00 4.80 4.0e-01 DD 49577.9720 3.0e-03 147.0173 7.0e-05 25.0726 7.0e-07 321.86 6.0e-03 5.058e-04 9.0e-09 * 0 * 0 * 0 0.74 * pks70,pkssw * -1099 J1643-4505 J1643-4505 16:43:36.9 9.0e-02 -45:05:46.0 1.6e+00 * 0 * 0 * 0 52923.00 339.728 0.547 0.237383 1.7e-11 3.18e-14 1.0e-17 * 0 * 0 52923.00 478.60 6.0e-01 * 0 * 0 0.28 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 * pksmb,htru_pks * -1100 J1643-4522 J1643-4522 16:43:20.4 7.0e-02 -45:22:01 2.0e+00 * 0 * 0 * 0 51590.00 339.492 0.406 1.347899 1.1e-10 8.28e-15 1.1e-17 * 0 * 0 51590.00 482.00 4.0e+00 * 0 * 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * pksmb * - -1101 J1643-4550 J1643-4550 16:43:13.5 2.0e-02 -45:50:54.5 5.0e-01 * 0 * 0 * 0 51685.00 339.115 0.105 0.717508 1.6e-11 3.00e-14 3.0e-18 * 0 * 0 51685.00 450.80 1.7e+00 * 0 * 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1102 J1644-44 J1644-44 16:44:36 3.0e+01 -44:10 7.0e+00 * 0 * 0 * 0 51030.20 340.546 1.023 0.173911 2.0e-07 * 0 * 0 * 0 51030.20 535.10 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.42 * pksmb * -1103 B1641-45 J1644-4559 16:44:49.2 1.9e-02 -45:59:09.5 4.0e-01 * 0 * 0 * 0 46800.00 339.193 -0.195 0.455060 1.0e-11 2.01e-14 6.0e-19 * 0 * 0 46800.00 478.80 8.0e-01 * 0 375.00 0 296.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * misc,mol2,pks1,pks70,pksmb,htru_pks * -1104 J1644-46 J1644-46 16:44:06 3.0e+01 -46:26 7.0e+00 * 0 * 0 * 0 50839.00 338.773 -0.393 0.250941 1.0e-07 * 0 * 0 * 0 50839.00 405.80 0 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.28 * pksmb * -1105 J1644-4657 J1644-4657 16:44:38.5 1.0e-01 -46:57:38 4.0e+00 * 0 * 0 * 0 54835.10 338.435 -0.808 0.125962 4.0e-11 7.50e-16 2.0e-17 * 0 * 0 54835.10 718.00 6.0e+00 * 0 * 0 0.59 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.78 * pksmb * - -1106 B1642-03 J1645-0317 16:45:02.0 6.0e-04 -03:17:58.3 3.0e-02 -3.700 1.5e+00 30.000 1.6e+00 * 0 46515.00 14.114 26.062 0.387690 7.0e-12 1.78e-15 1.7e-20 6.600e-27 1.1e-27 * 0 46515.00 35.76 8.0e-04 * 0 393.00 4.3e+01 21.00 6.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * misc,mol1,mol2,gb2,gb3,pks70,pkssw * -1107 J1645+1012 J1645+1012 16:45:34.4 5.0e-03 +10:12:16.0 9.0e-02 * 0 * 0 * 0 48957.50 27.719 32.548 0.410861 1.0e-12 8.13e-17 2.0e-19 * 0 * 0 48957.50 36.17 1.9e-04 * 0 2.30 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * ar4 * -1108 J1646-2142 J1646-2142 16:46:18.1 7.0e-02 -21:42:09.0 1.4e+00 * 0 * 0 * 0 55561.00 358.266 15.116 0.005850 0 * 0 * 0 * 0 55561.00 29.80 0 * 0 * 0 * 0 BT * 0 23.0000 0 * 0 * 0 * 0 * 0 * 0 * 0 0.97 GRS:2FGL_J1645.7-2148c[naa+12] FermiAssoc * -1109 J1646-4308 J1646-4308 16:46:55.3 2.0e-01 -43:08:07 4.0e+00 * 0 * 0 * 0 51757.00 341.603 1.374 0.840680 3.0e-10 1.10e-16 8.0e-17 * 0 * 0 51757.00 595.00 1.5e+01 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.13 * pksmb * -1110 B1643-43 J1646-4346 16:46:51.3 3.0e-01 -43:46:38 5.0e+00 * 0 * 0 * 0 48657.80 341.105 0.968 0.231603 9.0e-11 1.13e-13 4.0e-18 * 0 * 0 48657.80 490.40 3.0e-01 * 0 * 0 0.98 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.25 SNR:G341.2+0.9(?)[fgw94] pks1,pksmb,htru_pks * - -1111 J1646-5123 J1646-5123 16:46:36.3 4.0e-02 -51:23:14.6 5.0e-01 * 0 * 0 * 0 52906.00 335.276 -3.929 0.530075 2.0e-11 2.10e-15 1.2e-17 * 0 * 0 52906.00 279.00 3.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.98 * pksmb * -1112 B1641-68 J1646-6831 16:46:54.8 1.0e-01 -68:31:51 1.0e+00 * 0 * 0 * 0 43558.10 321.842 -14.829 1.785611 6.0e-10 1.70e-15 3.0e-17 * 0 * 0 43558.10 43.00 2.0e+00 * 0 23.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * mol2,pks70,pkssw,htru_pks * -1113 J1647-3607 J1647-3607 16:47:46.5 2.0e-02 -36:07:04 1.0e+00 * 0 * 0 * 0 54984.00 347.084 5.773 0.212316 5.0e-11 1.29e-16 2.0e-18 * 0 * 0 54984.00 224.00 1.0e+00 * 0 * 0 0.17 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.92 * pkssw,htru_pks RRAT -1114 J1647-4552 J1647-4552 16:47:10.2 3.0e-02 -45:52:16.8 3.0e-01 * 0 * 0 * 0 54008.00 339.546 -0.431 10.610656 1.3e-07 8.33e-13 3.0e-14 * 0 * 0 54008.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:CXO_J164710.2-455216 misc AXP,NRAD -1115 J1647+66 J1647+66 16:48 1.0e+00 +66:04 8.0e+00 * 0 * 0 * 0 56292.00 97.076 37.011 1.599819 5.0e-05 * 0 * 0 * 0 56292.00 23.00 2.0e+00 * 0 3.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.13 * gbncc * - -1116 J1648-3256 J1648-3256 16:48:06.0 4.0e-03 -32:56:40.8 2.0e-01 * 0 * 0 * 0 49411.80 349.586 7.749 0.719455 2.0e-12 3.53e-15 1.0e-19 * 0 * 0 49411.80 128.28 6.0e-03 * 0 11.00 0 1.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pks70,pkssw,htru_pks * -1117 J1648-4458 J1648-4458 16:48:13.0 1.0e-01 -44:58:26 3.0e+00 * 0 * 0 * 0 51590.00 340.349 0.009 0.629632 8.0e-11 1.85e-15 8.0e-18 * 0 * 0 51590.00 925.00 6.0e+00 * 0 * 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.52 * pksmb,htru_pks * -1118 J1648-4611 J1648-4611 16:48:22.0 3.0e-02 -46:11:16 1.0e+00 * 0 * 0 * 0 51486.00 339.438 -0.794 0.164950 9.0e-12 2.37e-14 1.1e-18 * 0 * 0 51486.00 392.30 3.0e-01 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 GRS:2FGL_J1648.4-4612[naa+12](?) pksmb,htru_pks * -1119 J1648-6044 J1648-6044 16:48:51.2 2.0e-02 -60:44:25.5 1.0e-01 * 0 * 0 * 0 55222.00 328.220 -10.141 0.583765 5.0e-11 4.29e-16 3.0e-18 * 0 * 0 55222.00 106.20 1.0e-01 * 0 * 0 0.66 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.57 * htru_pks * -1120 J1649+2533 J1649+2533 16:49:44.2 5.0e-02 +25:33:07.0 2.0e-01 * 0 * 0 * 0 51825.00 45.648 37.107 1.015257 5.0e-10 5.59e-16 2.0e-19 * 0 * 0 51825.00 34.46 7.8e-03 * 0 7.40 4.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * - -1121 J1649-3805 J1649-3805 16:49:48.2 1.9e-02 -38:05:59.1 3.0e-01 * 0 * 0 * 0 52885.00 345.815 4.194 0.262026 7.0e-12 3.67e-17 1.4e-18 * 0 * 0 52885.00 213.80 5.0e-01 * 0 * 0 1.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.83 * pksmb,htru_pks * -1122 J1649-3935 J1649-3935 16:49:06.6 3.0e-02 -39:35:44.2 1.4e+00 * 0 * 0 * 0 55985.00 344.577 3.341 0.770910 1.4e-11 3.91e-17 4.0e-19 * 0 * 0 55985.00 290.00 7.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.45 * htru_pks * -1123 J1649-4349 J1649-4349 16:49:20.4 8.0e-02 -43:49:22.2 1.5e+00 * 0 * 0 * 0 51243.00 341.360 0.596 0.870712 7.0e-11 4.40e-17 1.9e-17 * 0 * 0 51243.00 398.60 1.2e+00 * 0 * 0 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * pksmb,htru_pks * -1124 J1649-4653 J1649-4653 16:49:24.5 1.0e-01 -46:53:09 6.0e+00 * 0 * 0 * 0 51294.00 339.019 -1.380 0.557019 1.0e-10 4.97e-14 5.0e-17 * 0 * 0 51294.00 331.00 1.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.96 * pksmb,htru_pks * -1125 J1649-4729 J1649-4729 16:49:18.2 1.2e-01 -47:29:53 5.0e+00 * 0 * 0 * 0 51157.00 338.538 -1.759 0.297692 5.0e-11 6.55e-15 1.6e-17 * 0 * 0 51157.00 540.20 1.8e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.34 * pksmb,htru_pks * - -1126 J1649-5553 J1649-5553 16:49:31.1 1.0e-01 -55:53:40 2.0e+00 * 0 * 0 * 0 51650.00 332.077 -7.148 0.613571 7.0e-11 1.70e-15 1.6e-17 * 0 * 0 51650.00 180.40 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.61 * pkssw,htru_pks * -1127 J1649+80 J1649+80 16:50 4.0e+00 +80:45 8.0e+00 * 0 * 0 * 0 56292.00 113.571 31.491 0.002021 1.3e-09 * 0 * 0 * 0 56292.00 31.09 4.0e-02 * 0 4.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * gbncc * -1128 J1650-1654 J1650-1654 16:50:27.2 5.5e-02 -16:54:40 5.7e+00 * 0 * 0 * 0 50862.00 2.856 17.234 1.749552 4.0e-11 3.20e-15 4.0e-19 -6.000e-28 4.0e-27 * 0 50862.00 43.25 1.5e-01 * 0 13.00 0 1.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * pks70 * -1129 J1650-4126 J1650-4126 16:50:13.1 5.0e-03 -41:26:33.8 3.0e-01 * 0 * 0 * 0 51685.00 343.291 1.997 0.308918 3.0e-12 1.98e-17 4.0e-19 * 0 * 0 51685.00 251.50 5.0e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * pksmb,htru_pks * -1130 J1650-4341 J1650-4341 16:50:44.6 1.0e-02 -43:41:30.8 5.0e-01 * 0 * 0 * 0 51737.00 341.623 0.485 0.309398 4.0e-12 1.67e-17 1.9e-19 * 0 * 0 51737.00 673.00 4.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb * - -1131 J1650-4502 J1650-4502 16:50:32.3 6.0e-02 -45:02:37.3 2.0e+00 * 0 * 0 * 0 51118.00 340.559 -0.351 0.380870 5.0e-11 1.61e-14 1.6e-17 * 0 * 0 51118.00 320.20 3.0e-01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * -1132 J1650-4601 J1650-4601 16:50:18.6 2.0e-02 -46:01:18.6 4.0e-01 * 0 * 0 * 0 55716.00 339.782 -0.946 0.127123 1.7e-12 1.51e-14 5.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1650.3-4600[aaa+15] FermiBlind NRAD -1133 J1650-4921 J1650-4921 16:50:35.1 6.0e-03 -49:21:03.8 1.2e-01 * 0 * 0 * 0 53253.00 337.248 -3.108 0.156399 1.0e-12 1.82e-15 2.0e-19 * 0 * 0 53253.00 229.30 3.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.31 * pksmb,htru_pks * -1134 B1648-17 J1651-1709 16:51:31.7 2.5e-02 -17:09:22 2.5e+00 * 0 * 0 * 0 50027.00 2.810 16.882 0.973394 5.0e-12 3.04e-15 5.0e-20 1.400e-27 9.0e-28 * 0 50027.00 33.46 6.0e-02 * 0 9.00 1.0e+00 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.84 * mol2,gb2,gb3,pks70 * -1135 B1648-42 J1651-4246 16:51:48.7 8.0e-02 -42:46:11 2.0e+00 * 0 * 0 * 0 46943.00 342.457 0.923 0.844081 9.0e-11 4.81e-15 5.0e-18 * 0 * 0 46800.00 482.00 3.0e+00 * 0 100.00 0 16.00 1.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * mol2,pks1,pks70,pksmb,htru_pks * - -1136 J1651-4519 J1651-4519 16:51:57.2 5.0e-01 -45:19:11 8.0e+00 * 0 * 0 * 0 51399.00 340.506 -0.719 0.517443 1.9e-10 8.19e-15 1.1e-16 * 0 * 0 51399.00 562.00 6.0e+00 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.06 * pksmb,htru_pks * -1137 B1647-52 J1651-5222 16:51:42.9 4.0e-02 -52:22:58.2 8.0e-01 * 0 * 0 * 0 43556.91 335.014 -5.172 0.635056 1.2e-10 1.81e-15 5.0e-18 * 0 * 0 43556.91 179.10 6.0e-01 * 0 23.00 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.28 * mol2,pks70,pkssw,pksmb,htru_pks * -1138 B1647-528 J1651-5255 16:51:41.2 1.0e-01 -52:55:48 3.0e+00 * 0 * 0 * 0 43558.76 334.586 -5.514 0.890534 4.0e-10 2.07e-15 1.5e-17 * 0 * 0 43558.76 164.00 2.0e+00 * 0 12.00 0 2.89 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * mol2,pkssw,htru_pks * -1139 J1651-7642 J1651-7642 16:51:07.8 1.6e-01 -76:42:39.5 7.0e-01 * 0 * 0 * 0 53000.00 315.149 -19.953 1.755311 1.8e-10 1.36e-15 8.0e-18 * 0 * 0 53000.00 80.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.22 * pkssw * -1140 J1652-1400 J1652-1400 16:52:16.6 7.0e-03 -14:00:27.4 4.0e-01 * 0 * 0 * 0 53000.00 5.599 18.581 0.305447 3.0e-12 1.76e-17 1.5e-19 * 0 * 0 53000.00 49.50 1.3e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.60 * pkssw * - -1141 B1649-23 J1652-2404 16:52:58.5 5.5e-02 -24:03:51 6.4e+00 * 0 * 0 * 0 48742.00 357.315 12.454 1.703739 5.0e-12 3.16e-15 4.0e-20 -1.850e-27 1.6e-28 * 0 48742.00 68.41 3.0e-02 * 0 9.20 6.0e-01 1.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 * mol2,pks70,pkssw,htru_pks * -1142 J1652+2651 J1652+2651 16:52:03.0 3.0e-02 +26:51:40.4 4.0e-01 * 0 * 0 * 0 51739.00 47.402 36.954 0.915803 5.0e-11 6.54e-16 1.0e-19 * 0 * 0 51739.00 40.80 1.7e-04 * 0 11.30 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4,gb4 * -1143 J1652-4406 J1652-4406 16:52:59.5 2.0e-01 -44:06:05 4.0e+00 * 0 * 0 * 0 54947.00 341.564 -0.088 7.707183 4.0e-09 9.50e-15 2.0e-16 * 0 * 0 54947.00 786.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * pksmb RRAT -1144 J1652-48 J1652-48 16:52:54 3.0e+01 -48:45 7.0e+00 * 0 * 0 * 0 51373.30 337.954 -3.019 0.003785 4.0e-10 * 0 * 0 * 0 51373.30 187.80 0 * 0 * 0 2.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.39 * pksmb * -1145 J1653-2054 J1653-2054 16:53:31.0 2.0e-02 -20:54:55.1 1.0e-01 * 0 * 0 * 0 55694.60 359.969 14.261 0.004129 2.0e-15 1.12e-20 6.0e-23 * 0 * 0 55694.60 56.56 2.0e-02 * 0 * 0 0.16 0 ELL1 * 0 1.2268 9.0e-09 0.6889 6.0e-06 * 0 * 0 55584.7286 3.0e-06 0.000e+00 2.0e-05 0.000e+00 2.0e-05 2.63 * htru_pks * - -1146 B1650-38 J1653-3838 16:53:39.7 1.1e-02 -38:38:20.8 5.0e-01 * 0 * 0 * 0 48360.50 345.878 3.268 0.305037 3.0e-12 2.79e-15 2.0e-19 * 0 * 0 48360.50 207.20 2.0e-01 * 0 * 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pks1,pksmb,htru_pks * -1147 J1653-4030 J1653-4030 16:53:34.2 1.4e-01 -40:30:01.4 4.8e+00 * 0 * 0 * 0 53139.00 344.422 2.107 1.019372 1.6e-10 4.36e-16 4.0e-17 * 0 * 0 53139.00 425.00 8.0e+00 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.22 * pksmb,htru_pks * -1148 J1653-4249 J1653-4249 16:53:40.2 5.0e-02 -42:49:03.3 1.9e+00 * 0 * 0 * 0 51118.00 342.636 0.629 0.612558 5.0e-11 4.81e-15 3.0e-17 * 0 * 0 51118.00 416.10 1.1e+00 * 0 * 0 1.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.48 * pksmb,htru_pks * -1149 J1653-4315 J1653-4315 16:53:29.7 2.0e-01 -43:15:01 5.0e+00 * 0 * 0 * 0 51587.00 342.281 0.380 0.419280 9.0e-11 1.50e-17 4.0e-18 * 0 * 0 51587.00 337.00 6.0e+00 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb,htru_pks * -1150 J1653-4854 J1653-4854 16:53:56.7 1.0e-01 -48:54:51 4.0e+00 * 0 * 0 * 0 51708.00 337.936 -3.256 3.059510 5.0e-10 3.45e-15 1.1e-16 * 0 * 0 51708.00 354.00 6.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.22 * pksmb,htru_pks * - -1151 J1654-23 J1654-23 16:54:03 3.1e+01 -23:35 7.0e+00 * 0 * 0 * 0 55261.00 357.859 12.552 0.545360 3.0e-08 * 0 * 0 * 0 55261.00 74.50 2.5e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * pkssw RRAT -1152 J1654-2713 J1654-2713 16:54:23.6 5.0e-02 -27:13:02 5.0e+00 * 0 * 0 * 0 51002.00 354.972 10.271 0.791822 1.9e-11 1.68e-16 1.9e-19 -3.400e-27 1.0e-26 * 0 51002.00 92.31 1.2e-01 * 0 9.00 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.94 * pks70 * -1153 J1654-3710 J1654-3710 16:54:44.4 1.9e-02 -37:10:57.1 9.0e-01 * 0 * 0 * 0 53131.00 347.147 4.018 0.939165 3.0e-11 7.35e-16 3.0e-18 * 0 * 0 53131.00 302.00 1.2e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.02 * pksmb,htru_pks * -1154 J1654-4140 J1654-4140 16:54:23.5 1.0e-01 -41:40:24 3.0e+00 * 0 * 0 * 0 51399.00 343.609 1.247 1.273945 1.2e-10 1.30e-16 8.0e-17 * 0 * 0 51399.00 307.00 3.0e+00 * 0 * 0 0.71 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.65 * pksmb,htru_pks * -1155 J1654-4245 J1654-4245 16:54:22.0 4.0e-02 -42:45:39 3.0e+00 * 0 * 0 * 0 54024.20 342.761 0.565 1.101555 7.0e-10 5.12e-14 3.0e-17 * 0 * 0 54024.20 950.00 1.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.73 * pksmb * - -1156 J1655-3048 J1655-3048 16:55:24.5 2.0e-02 -30:48:42 1.0e+00 * 0 * 0 * 0 51500.00 352.245 7.880 0.542936 9.0e-12 3.66e-17 9.0e-19 * 0 * 0 51500.00 154.30 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.70 * pkssw,htru_pks * -1157 J1655-3844 J1655-3844 16:55:38.6 5.0e-02 -38:44:09 1.0e+00 * 0 * 0 * 0 54863.30 346.046 2.906 1.193439 1.4e-10 2.00e-15 6.0e-17 * 0 * 0 54863.30 365.00 1.1e+01 * 0 * 0 0.25 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.08 * pksmb * -1158 J1656+00 J1656+00 16:56:41 1.1e+02 +00:26 8.0e+00 * 0 * 0 * 0 57022.00 19.336 25.510 1.497850 0 * 0 * 0 * 0 57022.00 46.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.94 * ar327 * -1159 J1656-3621 J1656-3621 16:56:32.9 1.5e-02 -36:21:59.7 6.0e-01 * 0 * 0 * 0 53123.00 348.013 4.245 0.730134 1.6e-11 1.28e-15 1.6e-18 * 0 * 0 53123.00 229.00 3.0e+00 * 0 * 0 0.29 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.75 * pksmb,htru_pks * -1160 J1657-4432 J1657-4432 16:57:36.7 4.0e-02 -44:32:20 1.0e+00 * 0 * 0 * 0 51685.00 341.743 -1.006 0.609607 4.0e-11 8.20e-15 5.0e-18 * 0 * 0 51685.00 375.30 1.6e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pksmb * - -1161 J1658-4306 J1658-4306 16:58:16.6 3.0e-01 -43:06:50 7.0e+00 * 0 * 0 * 0 51451.00 342.933 -0.214 1.166449 5.0e-10 4.28e-14 6.0e-17 * 0 * 0 51451.00 845.00 1.1e+01 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.25 * pksmb,htru_pks * -1162 J1658-47 J1658-47 16:58:24 3.0e+01 -47:12 7.0e+00 * 0 * 0 * 0 56657.00 339.742 -2.767 0.369365 1.4e-06 * 0 * 0 * 0 56657.00 533.00 5.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 23.44 * htru_pks * -1163 J1658-4958 J1658-4958 16:58:54.9 6.0e-02 -49:58:58.4 6.0e-01 * 0 * 0 * 0 52146.00 337.602 -4.554 0.416874 1.1e-11 3.86e-15 7.0e-18 * 0 * 0 52146.00 193.40 1.3e+00 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * pksmb,htru_pks * -1164 J1658-5324 J1658-5324 16:58:39.3 9.0e-05 -53:24:07.0 1.0e-03 0.200 8.0e-01 4.900 2.3e-01 * 0 55520.00 334.869 -6.625 0.002439 3.0e-16 1.12e-20 4.0e-24 * 0 * 0 55520.00 30.81 3.0e-02 * 0 * 0 0.70 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 GRS:3FGL_J1658.4-5323[aaa+15],XRS:[pb15] FermiAssoc HE -1165 B1657-13 J1659-1305 16:59:53.0 2.1e-02 -13:05:09.0 1.8e+00 * 0 * 0 * 0 49725.00 7.507 17.592 0.640958 5.0e-12 6.18e-16 4.0e-20 3.280e-26 1.7e-27 * 0 49725.00 60.37 7.0e-02 * 0 6.30 7.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.48 * gb2,pks70 * - -1166 J1659-4316 J1659-4316 16:59:56.3 4.0e-02 -43:16:06 2.0e+00 * 0 * 0 * 0 51527.00 343.000 -0.547 0.474381 3.0e-11 1.71e-16 1.0e-17 * 0 * 0 51527.00 640.90 2.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pksmb,htru_pks * -1167 J1659-4439 J1659-4439 16:59:39.4 4.0e-02 -44:39:01 1.0e+00 * 0 * 0 * 0 51685.00 341.881 -1.361 0.353293 1.5e-11 2.50e-17 3.0e-18 * 0 * 0 51685.00 535.00 3.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.68 * pksmb,htru_pks * -1168 J1700-3312 J1700-3312 17:00:52.9 1.8e-02 -33:12:46.5 1.4e+00 * 0 * 0 * 0 50856.00 351.055 5.489 1.358307 1.0e-11 4.71e-15 1.3e-19 -2.160e-26 2.0e-27 * 0 50856.00 166.97 9.0e-02 * 0 21.00 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.39 * pks70,pkssw,pksmb,htru_pks * -1169 J1700-3611 J1700-3611 17:00:49.3 5.0e-02 -36:11:53 3.0e+00 * 0 * 0 * 0 52828.00 348.679 3.672 1.494091 1.6e-10 4.32e-15 1.6e-17 * 0 * 0 52828.00 232.70 1.2e+00 * 0 * 0 0.92 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.28 * pksmb,htru_pks * -1170 J1700-3919 J1700-3919 17:00:22.2 3.0e-02 -39:19:00.0 1.4e+00 * 0 * 0 * 0 52025.00 346.161 1.826 0.560504 1.6e-11 5.03e-18 1.3e-18 * 0 * 0 52025.00 354.30 1.8e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.66 * pksmb * - -1171 J1700-4012 J1700-4012 17:00:38.5 4.0e-02 -40:12:38.6 1.2e+00 * 0 * 0 * 0 53105.00 345.488 1.234 0.283792 1.1e-11 9.91e-17 4.0e-18 * 0 * 0 53105.00 385.00 4.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.62 * pksmb * -1172 J1700-4422 J1700-4422 17:00:53.6 8.0e-02 -44:22:27 1.0e+00 * 0 * 0 * 0 55065.00 342.235 -1.364 0.755535 3.0e-10 4.00e-17 2.0e-17 * 0 * 0 55065.00 425.00 5.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.65 * htru_pks * -1173 J1700-4939 J1700-4939 17:00:22.5 4.0e-02 -49:39:15 1.0e+00 * 0 * 0 * 0 51709.00 338.008 -4.538 0.578363 4.0e-11 1.08e-15 7.0e-18 * 0 * 0 51709.00 278.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.43 * pksmb * -1174 J1701-3006A J1701-3006A 17:01:12.5 4.9e-04 -30:06:30.1 3.6e-02 * 0 * 0 * 0 55038.00 353.578 7.322 0.005242 2.9e-15 -1.30e-19 1.5e-21 * 0 * 0 55038.00 114.97 8.4e-03 * 0 * 0 0.40 1.0e-01 BT 55040.0382 3.6e-07 3.8059 5.8e-09 3.4837 1.9e-06 * 0 0.000e+00 1.8e-06 * 0 * 0 * 0 7.05 GC:M62(NGC6266) pksgc * -1175 J1701-3006B J1701-3006B 17:01:12.6 1.0e-03 -30:06:49.0 7.6e-02 * 0 * 0 * 0 55038.00 353.574 7.319 0.003594 3.4e-15 -3.48e-19 2.0e-21 * 0 * 0 55038.00 115.21 3.8e-01 * 0 * 0 0.30 1.0e-01 BT 55038.6258 5.4e-07 0.1445 5.8e-10 0.2528 2.8e-06 * 0 0.000e+00 4.5e-05 * 0 * 0 * 0 7.05 GC:M62(NGC6266) pksgc * - -1176 J1701-3006C J1701-3006C 17:01:12.8 3.5e-04 -30:06:59.4 2.1e-02 * 0 * 0 * 0 55038.00 353.572 7.316 0.007613 6.8e-15 -6.41e-20 1.0e-22 * 0 * 0 55038.00 114.56 6.9e-03 * 0 * 0 0.30 1.0e-01 BT 55037.9266 7.4e-07 0.2150 5.1e-10 0.1929 3.3e-06 * 0 0.000e+00 7.9e-05 * 0 * 0 * 0 7.05 GC:M62(NGC6266) pksgc * -1177 J1701-3006D J1701-3006D 17:01:13.5 1.5e-03 -30:06:42.5 7.9e-02 * 0 * 0 * 0 55038.00 353.577 7.317 0.003418 1.7e-15 1.26e-19 2.4e-21 * 0 * 0 55038.00 114.22 1.1e-02 * 0 * 0 * 0 BT 55037.8871 9.3e-07 1.1179 8.2e-09 0.9880 5.0e-06 101.60 1.3e+00 4.122e-04 6.7e-06 * 0 * 0 * 0 7.05 GC:M62(NGC6266) misc * -1178 J1701-3006E J1701-3006E 17:01:13.2 1.7e-03 -30:06:46.8 1.1e-01 * 0 * 0 * 0 55038.00 353.576 7.317 0.003234 6.5e-15 3.10e-19 2.7e-21 * 0 * 0 55038.00 113.79 2.2e-02 * 0 * 0 * 0 BT 55037.9365 5.0e-06 0.1585 5.6e-09 0.0702 5.5e-06 * 0 0.000e+00 1.9e-04 * 0 * 0 * 0 7.05 GC:M62(NGC6266) misc * -1179 J1701-3006F J1701-3006F 17:01:12.8 1.5e-03 -30:06:51.8 1.0e-01 * 0 * 0 * 0 55038.00 353.573 7.318 0.002295 2.9e-15 2.22e-19 1.8e-21 * 0 * 0 55038.00 113.29 3.4e-02 * 0 * 0 * 0 BT 55038.0892 4.9e-06 0.2055 7.2e-09 0.0573 5.2e-06 * 0 0.000e+00 3.4e-04 * 0 * 0 * 0 7.05 GC:M62(NGC6266) misc * -1180 J1701-3130 J1701-3130 17:01:43.5 5.0e-03 -31:30:36.7 4.0e-01 * 0 * 0 * 0 51500.00 352.523 6.384 0.291341 1.2e-12 5.60e-17 1.2e-19 * 0 * 0 51500.00 130.73 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.24 * pkssw,htru_pks * - -1181 B1658-37 J1701-3726 17:01:18.5 3.0e-02 -37:26:25 3.0e+00 * 0 * 0 * 0 48360.70 347.756 2.834 2.454609 2.0e-10 1.11e-14 7.0e-18 * 0 * 0 48360.70 303.40 5.0e-01 * 0 * 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.94 * pks1,pksmb,htru_pks * -1182 B1657-45 J1701-4533 17:01:29.1 6.0e-03 -45:33:48.7 3.0e-01 * 0 * 0 * 0 48360.70 341.360 -2.177 0.322909 3.0e-12 5.19e-16 2.0e-19 * 0 * 0 48360.70 526.00 6.0e-01 * 0 * 0 2.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.59 * pks1,pksmb,htru_pks * -1183 J1701-4958 J1701-4958 17:01:12.8 6.0e-02 -49:58:33 2.0e+00 * 0 * 0 * 0 54844.60 337.835 -4.841 0.804304 1.2e-10 1.10e-16 4.0e-17 * 0 * 0 54844.60 230.00 5.0e+00 * 0 * 0 0.26 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.82 * pksmb * -1184 J1702-3932 J1702-3932 17:02:14.3 3.0e-02 -39:32:40 2.0e+00 * 0 * 0 * 0 51709.00 346.203 1.401 0.390328 1.9e-11 3.78e-16 5.0e-18 * 0 * 0 51709.00 530.00 4.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.16 * pksmb * -1185 J1702-4128 J1702-4128 17:02:52.5 1.0e-02 -41:28:48.2 5.0e-01 * 0 * 0 * 0 51530.00 344.744 0.123 0.182136 6.0e-12 5.23e-14 3.0e-19 3.100e-24 1.0e-24 * 0 51530.00 367.10 7.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * pksmb,htru_pks * - -1186 J1702-4217 J1702-4217 17:02:36.4 6.0e-02 -42:17:01.2 2.2e+00 * 0 * 0 * 0 51895.00 344.078 -0.329 0.227565 7.0e-12 1.14e-17 6.0e-19 * 0 * 0 51895.00 629.00 5.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.72 * pksmb,htru_pks * -1187 J1702-4306 J1702-4306 17:02:27.2 1.1e-02 -43:06:44 1.0e+00 * 0 * 0 * 0 54212.10 343.405 -0.813 0.215507 9.0e-12 9.79e-15 1.0e-18 * 0 * 0 54212.10 538.40 5.0e-01 * 0 * 0 0.27 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb,htru_pks * -1188 J1702-4310 J1702-4310 17:02:26.9 5.0e-02 -43:10:40 2.0e+00 * 0 * 0 * 0 51597.00 343.352 -0.852 0.240524 4.0e-11 2.24e-13 1.8e-18 4.500e-23 4.0e-24 * 0 51597.00 377.60 3.0e-01 * 0 * 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb,htru_pks * -1189 J1702-4428 J1702-4428 17:02:52.6 4.0e-01 -44:28:03 7.0e+00 * 0 * 0 * 0 51400.00 342.378 -1.701 2.123506 6.0e-10 3.30e-15 4.0e-16 * 0 * 0 51400.00 395.00 8.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.14 * pksmb,htru_pks * -1190 B1700-18 J1703-1846 17:03:51.0 8.0e-03 -18:46:15.8 1.1e+00 * 0 * 0 * 0 49905.00 3.229 13.560 0.804341 1.2e-12 1.73e-15 1.0e-20 2.700e-28 3.4e-28 * 0 49905.00 49.55 1.5e-02 * 0 11.00 1.0e+00 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.69 * mol1,mol2,pks70,pkssw * - -1191 B1700-32 J1703-3241 17:03:22.5 4.4e-03 -32:41:48.0 3.2e-01 * 0 * 0 * 0 50005.00 351.786 5.387 1.211785 3.0e-12 6.60e-16 1.8e-20 1.600e-27 3.0e-28 * 0 50005.00 110.31 1.4e-02 * 0 32.00 3.0e+00 7.60 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.17 * jb1,mol2,pks70,pksmb,htru_pks * -1192 J1703-38 J1703-38 17:03:26 3.7e+01 -38:12 7.0e+00 * 0 * 0 * 0 54999.00 347.410 2.037 6.443000 1.0e-03 * 0 * 0 * 0 54999.00 375.00 1.2e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.19 * pksmb RRAT -1193 J1703-4442 J1703-4442 17:03:20.5 3.0e-02 -44:42:42 1.0e+00 * 0 * 0 * 0 51708.00 342.235 -1.916 1.747293 1.0e-10 1.43e-14 1.9e-17 * 0 * 0 51708.00 280.20 1.9e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.24 * pksmb,htru_pks * -1194 J1703-4851 J1703-4851 17:03:54.4 1.0e-02 -48:51:55.8 2.0e-01 * 0 * 0 * 0 48736.00 338.987 -4.514 1.396401 5.0e-11 5.08e-15 6.0e-19 * 0 * 0 48736.00 150.29 3.0e-02 * 0 22.00 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.11 * pks70,pksmb * -1195 B1659-60 J1704-6016 17:04:14.8 5.0e-01 -60:16:54 6.0e+00 * 0 * 0 * 0 43557.01 329.762 -11.367 0.306323 5.0e-10 9.10e-16 2.0e-17 * 0 * 0 43557.01 54.00 5.0e+00 * 0 23.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * mol2,pks70 * - -1196 J1705-04 J1705-04 17:05 2.0e+00 -04:41 3.6e+01 * 0 * 0 * 0 56657.00 15.709 21.105 0.237480 2.0e-05 * 0 * 0 * 0 56657.00 42.95 9.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * gb350 RRAT -1197 B1702-19 J1705-1906 17:05:36.0 3.0e-03 -19:06:38.6 3.9e-01 * 0 * 0 * 0 48733.00 3.189 13.026 0.298987 1.7e-12 4.14e-15 1.0e-20 3.340e-26 1.5e-27 * 0 48733.00 22.91 3.0e-03 * 0 29.00 3.0e+00 8.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.75 GRS:[hsg+14] mol2,pks70,pkssw,htru_pks HE -1198 J1705-3423 J1705-3423 17:05:42.3 3.0e-03 -34:23:45.1 1.2e-01 * 0 * 0 * 0 53830.00 350.720 3.975 0.255426 7.0e-12 1.08e-15 6.0e-19 1.200e-25 3.0e-26 * 0 54500.00 146.36 1.0e-01 * 0 31.00 0 4.10 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * pks70,pksmb,htru_pks * -1199 J1705-3936 J1705-3936 17:05:37.1 3.0e-01 -39:36:29 6.0e+00 * 0 * 0 * 0 51400.00 346.548 0.845 0.854482 3.0e-10 1.93e-14 1.0e-16 * 0 * 0 51400.00 598.00 5.0e+00 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.90 * pksmb,htru_pks * -1200 J1705-3950 J1705-3950 17:05:29.8 3.0e-02 -39:50:59 1.0e+00 * 0 * 0 * 0 51587.00 346.341 0.718 0.318941 1.4e-11 6.06e-14 1.3e-18 * 0 * 0 51587.00 207.25 1.0e-02 * 0 * 0 1.50 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * pksmb,htru_pks * - -1201 J1705-4108 J1705-4108 17:05:20.4 1.0e-01 -41:08:44 8.0e+00 * 0 * 0 * 0 51505.00 345.291 -0.042 0.861067 3.0e-10 3.47e-14 7.0e-17 * 0 * 0 51505.00 1077.00 6.0e+00 * 0 * 0 1.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.97 * pksmb,htru_pks * -1202 J1705-4331 J1705-4331 17:05:35.9 7.0e-03 -43:31:13.6 1.0e-01 * 0 * 0 * 0 54986.00 343.428 -1.515 0.222561 2.0e-11 7.12e-17 5.0e-19 * 0 * 0 54986.00 185.24 5.0e-02 * 0 * 0 0.43 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * htru_pks * -1203 J1705-52 J1705-52 17:05:50 0 -52:36:17 0 * 0 * 0 * 0 55561.00 336.166 -7.003 0.230700 0 * 0 * 0 * 0 55561.00 163.62 1.9e-01 * 0 * 0 0.60 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.94 * htru_pks * -1204 J1705-6135 J1705-6135 17:05:15.3 2.0e-01 -61:35:15 2.0e+00 * 0 * 0 * 0 54896.00 328.751 -12.228 0.808546 1.0e-09 6.00e-17 4.0e-17 * 0 * 0 54896.00 95.00 5.0e+00 * 0 * 0 0.30 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.58 * htru_pks * -1205 J1706-3839 J1706-3839 17:06:21.3 2.0e-01 -38:39:51 1.3e+01 * 0 * 0 * 0 51510.00 347.387 1.301 0.586287 1.8e-10 3.00e-15 6.0e-17 * 0 * 0 51510.00 626.00 7.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.62 * pksmb * - -1206 J1706-4310 J1706-4310 17:06:04.5 5.0e-02 -43:10:21 3.0e+00 * 0 * 0 * 0 51457.00 343.758 -1.375 0.616979 5.0e-10 6.51e-15 1.2e-17 * 0 * 0 51457.00 656.10 1.8e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.41 * pksmb,htru_pks * -1207 J1706+59 J1706+59 17:07 3.0e+00 +59:10 1.8e+01 * 0 * 0 * 0 56292.00 88.097 36.319 1.476687 5.8e-05 * 0 * 0 * 0 56292.00 31.00 2.0e+00 * 0 8.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * gbncc * -1208 J1706-6118 J1706-6118 17:06:09.7 6.0e-03 -61:18:11.7 1.0e-01 * 0 * 0 * 0 53000.00 329.053 -12.152 0.361921 1.5e-12 2.92e-16 4.0e-20 * 0 * 0 53000.00 76.13 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.39 * pkssw,htru_pks * -1209 B1703-40 J1707-4053 17:07:21.7 1.2e-02 -40:53:56.1 4.0e-01 * 0 * 0 * 0 51700.00 345.718 -0.198 0.581017 1.8e-11 1.92e-15 4.0e-18 * 0 * 0 51700.00 360.00 2.0e-01 * 0 * 0 7.20 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pks1,pksmb,htru_pks * -1210 J1707-4341 J1707-4341 17:07:40.1 1.0e-02 -43:41:12.0 6.0e-01 * 0 * 0 * 0 51708.00 343.521 -1.915 0.890594 3.0e-11 5.70e-15 4.0e-18 * 0 * 0 51708.00 398.20 8.0e-01 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.98 * pksmb,htru_pks * - -1211 J1707-4417 J1707-4417 17:07:41.4 3.0e-02 -44:17:19 1.0e+00 * 0 * 0 * 0 54999.00 343.041 -2.278 5.763777 4.0e-10 1.16e-14 2.0e-17 * 0 * 0 54999.00 380.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.06 * pksmb RRAT -1212 J1707-4729 J1707-4729 17:07:15.5 7.0e-03 -47:29:34.5 3.0e-01 * 0 * 0 * 0 51496.00 340.424 -4.135 0.266474 3.0e-11 1.56e-15 6.0e-19 * 0 * 0 51496.00 268.30 4.0e-01 * 0 * 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.86 * pksmb,htru_pks * -1213 J1708-3426 J1708-3426 17:08:57.7 3.5e-02 -34:26:44 2.9e+00 * 0 * 0 * 0 50856.00 351.083 3.407 0.692113 1.0e-11 4.20e-15 1.0e-19 -1.300e-26 7.0e-27 * 0 50856.00 190.70 3.0e-01 * 0 36.00 0 1.50 1.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.73 * pks70,pksmb,htru_pks * -1214 J1708-3506 J1708-3506 17:08:17.6 1.0e-04 -35:06:22.6 4.0e-03 -5.300 8.0e-01 -2.000 3.0e+00 * 0 55132.90 350.470 3.124 0.004505 7.0e-16 1.14e-20 1.1e-23 * 0 * 0 55132.90 146.73 2.0e-03 * 0 * 0 1.31 0 DD 55206.8010 1.0e-02 149.1332 4.0e-07 33.5842 2.0e-06 180.00 2.0e-02 2.445e-04 1.0e-07 * 0 * 0 * 0 3.32 * htru_pks * -1215 J1708-3641 J1708-3641 17:08:35.9 3.0e-02 -36:41:21.5 1.4e+00 * 0 * 0 * 0 56047.00 349.235 2.130 0.587567 1.4e-11 1.35e-16 5.0e-19 * 0 * 0 56047.00 316.00 3.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.31 * htru_pks * - -1216 J1708-3827 J1708-3827 17:08:16.5 6.0e-01 -38:27:36 1.5e+01 * 0 * 0 * 0 51401.00 347.776 1.123 1.225782 7.0e-10 8.60e-15 5.0e-16 * 0 * 0 51401.00 788.00 3.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 20.57 * pksmb * -1217 J1708-4008 J1708-4008 17:08:46.8 7.0e-02 -40:08:52.4 7.0e-01 * 0 * 0 * 0 55567.00 346.481 0.036 11.006262 7.0e-07 1.96e-11 1.0e-13 -1.000e-22 6.0e-23 * 0 55567.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.80 XRS:RXSJ170849.0-400910 misc AXP,NRAD -1218 J1708-4522 J1708-4522 17:08:12.9 6.0e-02 -45:22:51 3.0e+00 * 0 * 0 * 0 52158.00 342.220 -3.006 1.297837 7.0e-11 2.61e-15 7.0e-18 * 0 * 0 52158.00 454.00 3.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 23.12 * pksmb,htru_pks * -1219 J1708-52 J1708-52 17:08 4.0e+00 -52:00 4.0e+01 * 0 * 0 * 0 56657.00 336.854 -6.911 0.449620 0 * 0 * 0 * 0 56657.00 102.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.29 * ghrss * -1220 B1701-75 J1708-7539 17:08:02.5 5.0e-01 -75:39:23 3.0e+00 * 0 * 0 * 0 43565.10 316.676 -20.221 1.191024 8.0e-10 1.88e-15 4.0e-17 * 0 * 0 43565.10 37.00 5.0e+00 * 0 2.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.32 * mol2,pkssw * - -1221 B1706-16 J1709-1640 17:09:26.4 1.5e-03 -16:40:57.7 1.6e-01 3.000 9.0e+00 0.000 1.4e+01 * 0 46993.00 5.775 13.657 0.653054 4.0e-11 6.31e-15 1.3e-19 3.830e-25 3.0e-27 * 0 46993.00 24.89 1.0e-03 * 0 47.00 5.0e+00 4.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.56 * mol1,mol2,gb2,gb3,pks70,pkssw,htru_ * -1222 J1709+2313 J1709+2313 17:09:05.7 6.0e-03 +23:13:27.8 1.0e-02 -3.200 7.0e-01 -9.700 9.0e-01 * 0 51145.00 44.522 32.209 0.004631 2.0e-16 3.63e-21 4.0e-23 * 0 * 0 51145.00 25.35 2.0e-04 * 0 2.52 7.0e-02 0.20 1.0e-01 BT 51196.2408 3.6e-02 22.7119 2.0e-08 15.2885 2.0e-06 24.30 5.8e-01 1.870e-05 2.0e-07 * 0 * 0 * 0 2.18 * ar4 * -1223 J1709-3626 J1709-3626 17:09:45.1 2.0e-02 -36:26:03.6 9.0e-01 * 0 * 0 * 0 51400.00 349.578 2.095 0.447857 1.1e-11 2.27e-15 1.3e-18 * 0 * 0 51400.00 393.60 1.1e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.13 * pksmb,htru_pks * -1224 J1709-3841 J1709-3841 17:09:15.9 1.9e-01 -38:41:17 1.0e+01 * 0 * 0 * 0 51117.00 347.709 0.832 0.586986 1.8e-10 7.86e-15 1.1e-16 * 0 * 0 51117.00 356.00 3.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.30 * pksmb * -1225 J1709-43 J1709-43 17:09:47 3.9e+01 -43:54:43 4.2e+02 * 0 * 0 * 0 * 343.567 -2.355 * 0 * 0 * 0 * 0 * 228.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * htru_pks RRAT - -1226 J1709-4342 J1709-4342 17:09:30.9 4.0e-01 -43:42:14 1.3e+01 * 0 * 0 * 0 51457.00 343.706 -2.193 1.735898 1.0e-08 8.00e-16 3.0e-16 * 0 * 0 51457.00 281.00 1.4e+01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.44 * pksmb,htru_pks * -1227 J1709-4401 J1709-4401 17:09:41.3 3.0e-02 -44:01:11.2 6.0e-01 * 0 * 0 * 0 55000.00 343.471 -2.406 0.865235 7.0e-10 7.37e-15 1.0e-17 * 0 * 0 55000.00 225.80 4.0e-01 * 0 * 0 1.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * htru_pks * -1228 B1706-44 J1709-4429 17:09:42.7 2.0e-03 -44:29:08.2 6.0e-02 * 0 * 0 * 0 50042.00 343.098 -2.686 0.102459 8.0e-12 9.30e-14 1.3e-19 1.731e-22 7.0e-25 * 0 50042.00 75.68 3.0e-02 * 0 25.00 4.0e+00 7.30 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.60 SNR:G343.1-2.3(?)[mop93],GRS:HESS_J1708- pks1,pks70,pksmb,htru_pks HE[ghd02,aaa+10m] -1229 J1710-2616 J1710-2616 17:10:04.9 1.0e-01 -26:16:35 2.0e+01 * 0 * 0 * 0 55070.00 357.859 8.029 0.954158 1.0e-09 2.00e-17 2.0e-17 * 0 * 0 55070.00 111.00 1.0e+00 * 0 * 0 1.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.31 * htru_pks * -1230 J1710-37 J1710-37 17:10:30 3.0e+01 -37:30 7.0e+00 * 0 * 0 * 0 56657.00 348.808 1.343 0.792659 3.0e-11 * 0 * 0 * 0 56657.00 346.00 1.5e+01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.05 * htru_pks * - -1231 J1710-4148 J1710-4148 17:10:23.7 4.0e-02 -41:48:19 2.0e+00 * 0 * 0 * 0 51335.00 345.330 -1.195 0.286561 1.5e-11 1.02e-16 4.0e-18 * 0 * 0 51335.00 461.00 3.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * pksmb,htru_pks * -1232 J1710+49 J1710+49 17:10:29 1.3e+01 +49:20 2.0e+00 * 0 * 0 * 0 56292.00 75.864 36.382 0.003220 2.1e-09 * 0 * 0 * 0 56292.00 7.09 8.0e-02 * 0 14.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.51 * gbncc * -1233 B1709-15 J1711-1509 17:11:55.0 8.4e-03 -15:09:39.7 6.8e-01 * 0 * 0 * 0 49907.00 7.417 14.013 0.868804 4.0e-12 1.10e-15 3.0e-20 9.900e-27 6.0e-28 * 0 49907.00 59.88 3.0e-02 * 0 5.90 6.0e-01 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * gb2,pks70,pkssw,htru_pks * -1234 J1711-3826 J1711-3826 17:11:44.4 9.0e-02 -38:26:14 5.0e+00 * 0 * 0 * 0 51710.00 348.197 0.591 0.465365 7.0e-11 7.41e-15 1.6e-17 * 0 * 0 51710.00 376.00 7.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * pksmb * -1235 J1711-4322 J1711-4322 17:11:10.5 1.2e-02 -43:22:53.1 5.0e-01 * 0 * 0 * 0 52433.00 344.145 -2.244 0.102618 6.0e-13 2.67e-17 5.0e-20 * 0 * 0 52433.00 191.50 7.0e-01 * 0 * 0 0.26 0 ELL1 * 0 922.4708 8.0e-04 139.6241 6.0e-04 293.73 0.0e+00 2.376e-03 0.0e+00 49456.0500 3.0e-03 -2.175e-03 7.0e-06 9.560e-04 5.0e-06 3.98 * pksmb,htru_pks * - -1236 B1707-53 J1711-5350 17:11:53.1 5.0e-02 -53:50:16 1.0e+00 * 0 * 0 * 0 43565.09 335.695 -8.460 0.899218 1.7e-10 1.55e-14 8.0e-18 * 0 * 0 43565.09 106.10 7.0e-01 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * mol2,pks70,pkssw,htru_pks * -1237 J1712-2715 J1712-2715 17:12:11.7 1.0e-02 -27:15:53 2.0e+00 * 0 * 0 * 0 51500.00 357.325 7.070 0.255360 3.0e-12 1.28e-15 3.0e-19 * 0 * 0 51500.00 92.64 1.3e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * pkssw,htru_pks * -1238 J1712-391 J1712-391 17:12:35 3.6e+01 -39:43 7.0e+00 * 0 * 0 * 0 51465.00 347.260 -0.295 0.778149 1.0e-06 * 0 * 0 * 0 51465.00 525.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * misc * -1239 J1712-392 J1712-392 17:12:35 3.6e+01 -39:43 7.0e+00 * 0 * 0 * 0 51465.00 347.260 -0.295 0.092528 1.0e-07 * 0 * 0 * 0 51465.00 713.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * misc * -1240 J1713+0747 J1713+0747 17:13:49.5 8.4e-07 +07:47:37.4 2.2e-05 * 0 * 0 0.810 3.0e-02 55391.00 28.751 25.223 0.004570 1.7e-17 8.53e-21 1.3e-25 * 0 * 0 55391.00 15.92 1.6e-02 * 0 36.00 0 10.20 1.1e+01 T2 55388.8364 3.0e-04 67.8251 1.6e-09 32.3424 1.3e-07 176.20 1.5e-03 7.494e-05 6.0e-10 * 0 * 0 * 0 1.23 GRS:2FGL_J1714.0+0751[naa+12] ar4,pkssw HE[egc+13] - -1241 J1713-3844 J1713-3844 17:13:02.3 1.0e-01 -38:44:29 9.0e+00 * 0 * 0 * 0 51294.00 348.101 0.207 1.600114 3.0e-10 1.77e-13 1.3e-16 * 0 * 0 51294.00 544.00 5.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.43 * pksmb,htru_pks * -1242 J1713-3949 J1713-3949 17:13:28 3.6e+01 -39:49 7.0e+00 * 0 * 0 * 0 51465.00 347.279 -0.491 0.392451 5.0e-07 * 0 * 0 * 0 51465.00 342.00 2.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * misc,pksmb,htru_pks * -1243 J1714-1054 J1714-1054 17:14:40.1 5.0e-03 -10:54:10.9 3.0e-01 * 0 * 0 * 0 53000.00 11.487 15.777 0.696279 9.0e-12 5.88e-17 4.0e-19 * 0 * 0 53000.00 51.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * pkssw * -1244 J1714-3810 J1714-3810 17:14:05.7 1.4e-01 -38:10:30.9 6.0e-01 * 0 * 0 * 0 55226.50 348.681 0.371 3.824936 1.7e-05 5.88e-11 8.0e-13 * 0 * 0 55226.50 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.20 XRS:CXOU_J171405.7-381031,SNR:G348.7+0.3 misc AXP,NRAD -1245 J1715-3247 J1715-3247 17:15:23.4 1.0e-01 -32:47:30 2.0e+00 * 0 * 0 * 0 54244.60 353.211 3.296 1.260214 8.0e-11 9.20e-17 7.0e-18 * 0 * 0 54244.60 164.00 3.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb * - -1246 J1715-3700 J1715-3700 17:15:09.6 2.0e-01 -37:00:04 1.4e+01 * 0 * 0 * 0 51118.00 349.757 0.886 0.779628 4.0e-10 1.46e-16 5.0e-17 * 0 * 0 51118.00 449.00 1.1e+01 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.03 * pksmb,htru_pks * -1247 J1715-3859 J1715-3859 17:15:37.8 3.0e-02 -38:59:25.1 9.0e-01 * 0 * 0 * 0 53097.00 348.194 -0.348 0.928108 3.0e-11 4.40e-15 7.0e-18 * 0 * 0 53097.00 817.00 5.0e+00 * 0 * 0 0.54 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * pksmb,htru_pks * -1248 J1715-3903 J1715-3903 17:15:14.3 1.0e-01 -39:03:02 3.0e+00 * 0 * 0 * 0 51399.00 348.101 -0.321 0.278481 3.0e-11 3.77e-14 1.4e-17 * 0 * 0 51399.00 314.00 6.0e-01 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * pksmb,htru_pks * -1249 J1715-4034 J1715-4034 17:15:40.9 8.0e-02 -40:34:22 4.0e+00 * 0 * 0 * 0 51482.00 346.912 -1.277 2.072153 3.0e-10 3.01e-15 6.0e-17 * 0 * 0 51482.00 254.00 7.0e+00 * 0 * 0 1.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * -1250 J1715-4254 J1715-4254 17:15:10.5 9.0e-02 -42:54:54 4.0e+00 * 0 * 0 * 0 52278.00 344.951 -2.562 0.573745 7.0e-11 8.76e-16 1.0e-17 * 0 * 0 52278.00 407.00 9.0e+00 * 0 * 0 0.07 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.75 * pksmb * - -1251 J1716-3720 J1716-3720 17:16:11.3 6.0e-02 -37:20:44 3.0e+00 * 0 * 0 * 0 51112.00 349.596 0.519 0.630314 6.0e-11 1.80e-14 1.2e-17 * 0 * 0 51112.00 682.70 1.7e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.38 * pksmb,htru_pks * -1252 J1716-4005 J1716-4005 17:16:42.0 4.0e-02 -40:05:27 2.0e+00 * 0 * 0 * 0 54942.80 347.418 -1.155 0.311813 4.0e-11 2.87e-15 4.0e-17 * 0 * 0 54942.80 435.00 3.0e+00 * 0 * 0 1.37 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.38 * pksmb,htru_pks * -1253 J1716-4111 J1716-4111 17:16:44.3 7.0e-03 -41:11:09.5 6.0e-01 * 0 * 0 * 0 54212.20 346.529 -1.795 1.036067 3.0e-11 2.88e-15 5.0e-18 * 0 * 0 54212.20 245.80 5.0e-01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1254 J1716-4711 J1716-4711 17:16:01.1 7.0e-03 -47:11:00.9 3.0e-01 * 0 * 0 * 0 55185.00 341.549 -5.155 0.555824 6.0e-11 8.33e-16 2.0e-18 * 0 * 0 55185.00 287.06 6.0e-02 * 0 * 0 0.31 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.95 * htru_pks * -1255 J1717+03 J1717+03 17:17:56 1.1e+02 +03:11 8.0e+00 * 0 * 0 * 0 57022.00 24.784 22.203 3.901000 0 * 0 * 0 * 0 57022.00 25.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * ar327 RRAT[dsm+16] - -1256 B1714-34 J1717-3425 17:17:20.2 8.9e-03 -34:24:59.6 3.9e-01 * 0 * 0 * 0 50253.00 352.120 2.025 0.656299 7.0e-11 9.80e-15 5.0e-19 2.800e-26 3.0e-26 * 0 50253.00 587.70 7.0e-01 * 0 * 0 3.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks1,pksmb,htru_pks * -1257 J1717-3737 J1717-3737 17:17:15.9 2.0e-02 -37:37:36 1.0e+00 * 0 * 0 * 0 51324.00 349.491 0.182 0.682419 3.0e-11 5.29e-15 6.0e-18 * 0 * 0 51324.00 525.80 1.2e+00 * 0 * 0 0.69 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pksmb,htru_pks * -1258 J1717-3847 J1717-3847 17:17:18.4 5.0e-01 -38:47:03 2.0e+01 * 0 * 0 * 0 51347.00 348.551 -0.494 1.149499 6.0e-10 8.20e-16 7.0e-17 * 0 * 0 51347.00 707.00 6.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.01 * pksmb,htru_pks * -1259 J1717-3953 J1717-3953 17:17:25.5 2.0e-01 -39:53:55 8.0e+00 * 0 * 0 * 0 53313.00 347.655 -1.157 1.085521 1.8e-10 3.30e-17 1.9e-17 * 0 * 0 53313.00 466.00 8.0e+00 * 0 * 0 1.28 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.63 * pksmb,htru_pks * -1260 J1717-4043 J1717-4043 17:17:47.9 6.0e-02 -40:43:50 2.0e+00 * 0 * 0 * 0 51388.00 347.016 -1.695 0.397857 3.0e-11 1.22e-14 1.3e-17 * 0 * 0 51388.00 452.60 1.2e+00 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.29 * pksmb,htru_pks * - -1261 J1717-40435 J1717-40435 17:17:02.0 4.0e-01 -40:43:31 9.0e+00 * 0 * 0 * 0 51399.00 346.937 -1.574 0.349929 1.0e-10 1.75e-15 7.0e-17 * 0 * 0 51399.00 539.00 5.0e+00 * 0 * 0 0.41 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.60 * pksmb,htru_pks * -1262 B1713-40 J1717-4054 17:17:52.2 7.0e-02 -41:03:17 4.0e+00 * 0 * 0 * 0 56671.00 346.759 -1.893 0.887719 3.0e-11 3.68e-15 6.0e-19 * 0 * 0 55035.00 306.90 1.0e-01 * 0 15.00 0 5.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.26 * pks1,pks70,pksmb * -1263 J1717-5800 J1717-5800 17:17:35.6 2.0e-02 -58:00:05.4 3.0e-01 * 0 * 0 * 0 51650.00 332.668 -11.475 0.321793 6.0e-12 1.96e-16 1.0e-18 * 0 * 0 51650.00 125.22 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.24 * pkssw,htru_pks * -1264 J1718-3714 J1718-3714 17:18:18.5 1.6e-01 -37:14:16 9.0e+00 * 0 * 0 * 0 51799.00 349.928 0.237 1.289379 3.0e-10 2.62e-14 3.0e-17 * 0 * 0 51799.00 833.00 2.1e+01 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb,htru_pks * -1265 J1718-3718 J1718-3718 17:18:10.0 3.0e-01 -37:18:53 1.1e+01 * 0 * 0 * 0 55250.00 349.849 0.216 3.378574 4.0e-10 1.61e-12 5.0e-17 -9.860e-24 1.6e-25 * 0 55250.00 371.10 1.7e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * - -1266 J1718-3825 J1718-3825 17:18:13.5 4.0e-03 -38:25:18.0 1.5e-01 * 0 * 0 * 0 51184.00 348.951 -0.432 0.074670 4.0e-13 1.32e-14 7.0e-20 * 0 * 0 51184.00 247.46 6.0e-02 * 0 * 0 1.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 GRS:2FGL_J1718.3-3827[naa+12],GRS:HESS_J pksmb,htru_pks HE[waa+10] -1267 J1718-41 J1718-41 17:18:12 3.0e+01 -41:07 7.0e+00 * 0 * 0 * 0 56657.00 346.744 -1.979 0.548419 1.2e-06 * 0 * 0 * 0 56657.00 354.00 7.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.60 * htru_pks * -1268 J1718-4539 J1718-4539 17:18:11.9 4.0e-02 -45:39:15.9 9.0e-01 * 0 * 0 * 0 53105.00 343.022 -4.584 0.590473 3.0e-11 7.51e-15 7.0e-18 * 0 * 0 53105.00 254.00 6.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.79 * pksmb * -1269 J1719-1438 J1719-1438 17:19:10.0 5.0e-05 -14:38:00.9 4.0e-03 1.900 4.0e-01 -11.000 2.0e+00 * 0 55235.50 8.858 12.838 0.005790 5.0e-16 8.04e-21 7.0e-24 * 0 * 0 55235.50 36.86 4.0e-03 * 0 * 0 0.42 0 ELL1 * 0 0.0907 1.2e-09 0.0018 7.0e-07 299.74 0.0e+00 8.062e-04 0.0e+00 55235.5165 8.0e-06 -7.000e-04 7.0e-05 4.000e-04 7.0e-04 0.34 * htru_pks * -1270 J1719-23 J1719-23 17:19:37 0 -23:29:07 0 * 0 * 0 * 0 55561.00 1.420 7.853 0.454000 0 * 0 * 0 * 0 55561.00 110.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * htru_pks * - -1271 B1715-40 J1719-4006 17:19:01.7 1.0e-02 -40:06:59.5 4.0e-01 * 0 * 0 * 0 48378.60 347.653 -1.533 0.189094 2.0e-12 1.67e-15 2.0e-19 * 0 * 0 48378.60 386.60 2.0e-01 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.77 * pks1,pksmb,htru_pks * -1272 J1719-4302 J1719-4302 17:19:48.7 1.0e-02 -43:02:11.4 6.0e-01 * 0 * 0 * 0 51498.00 345.341 -3.325 0.235475 3.0e-11 3.92e-16 9.0e-19 * 0 * 0 51498.00 297.70 6.0e-01 * 0 * 0 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.41 * pksmb,htru_pks * -1273 J1720+00 J1720+00 17:20:55 1.1e+02 +00:40 8.0e+00 * 0 * 0 * 0 57022.00 22.791 20.349 3.357000 0 * 0 * 0 * 0 57022.00 46.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.56 * ar327 RRAT[dsm+16] -1274 B1718-02 J1720-0212 17:20:57.2 1.1e-02 -02:12:23.9 5.0e-01 -1.000 4.0e+00 -26.000 5.0e+00 * 0 49429.00 20.134 18.936 0.477715 3.0e-12 8.28e-17 1.9e-20 1.800e-28 1.4e-27 * 0 49429.00 66.98 4.0e-02 * 0 22.00 2.0e+00 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.36 * mol2,gb2,pks70,pkssw * -1275 B1717-16 J1720-1633 17:20:25.2 1.0e-02 -16:33:33.7 1.4e+00 * 0 * 0 * 0 49686.00 7.374 11.537 1.565601 3.0e-11 5.80e-15 3.0e-19 7.300e-27 1.8e-27 * 0 49686.00 44.83 3.0e-02 * 0 13.00 2.0e+00 1.10 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.99 * gb3,pks70,pkssw,htru_pks * - -1276 J1720+2150 J1720+2150 17:20:01.3 2.0e-02 +21:50:12.8 4.0e-01 * 0 * 0 * 0 51796.00 43.957 29.371 1.615664 7.0e-11 7.40e-16 2.0e-18 * 0 * 0 51796.00 40.72 3.5e-02 * 0 2.40 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.58 * ar4 * -1277 J1720-2446 J1720-2446 17:20:22.4 6.0e-02 -24:46:27 1.2e+01 * 0 * 0 * 0 55326.00 0.443 6.986 0.874265 8.0e-11 5.93e-16 4.0e-18 * 0 * 0 55326.00 103.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * htru_pks * -1278 B1717-29 J1720-2933 17:20:34.1 1.0e-02 -29:33:16.2 1.1e+00 * 0 * 0 * 0 49863.00 356.505 4.248 0.620448 1.6e-12 7.46e-16 1.6e-20 -1.510e-26 8.0e-28 * 0 49863.00 42.64 3.0e-02 * 0 32.00 4.0e+00 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.09 * jb1,mol2,pks70,pksmb,htru_pks * -1279 J1720-36 J1720-36 17:20:54 3.0e+01 -36:53 7.0e+00 * 0 * 0 * 0 56657.00 350.515 0.016 0.092132 3.0e-08 * 0 * 0 * 0 56657.00 341.00 1.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.78 * htru_pks * -1280 J1720-3659 J1720-3659 17:20:01.9 9.0e-03 -36:59:06.5 4.0e-01 * 0 * 0 * 0 51111.00 350.332 0.100 0.351125 5.0e-12 3.27e-17 9.0e-19 * 0 * 0 51111.00 381.60 5.0e-01 * 0 * 0 0.74 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * pksmb,htru_pks * - -1281 B1718-19 J1721-1936 17:21:01.4 4.3e-02 -19:36:51 7.2e+00 * 0 * 0 * 0 50434.00 4.857 9.738 1.004037 1.9e-10 1.62e-15 1.6e-18 2.900e-25 5.0e-26 * 0 50434.00 75.70 3.0e-01 * 0 0.50 0 0.30 0 ELL1 * 0 0.2583 3.0e-08 0.3533 1.0e-03 231.34 0.0e+00 6.403e-03 0.0e+00 48455.0237 1.7e-04 -5.000e-03 9.0e-07 -4.000e-03 6.0e-07 8.60 GC:NGC6342 misc,pkssw * -1282 J1721-1939 J1721-1939 17:21:46.6 4.0e-02 -19:39:49 5.0e+00 * 0 * 0 * 0 51500.00 4.914 9.563 0.404040 1.5e-11 1.28e-16 1.5e-18 * 0 * 0 51500.00 103.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.62 * pkssw,htru_pks * -1283 J1721-2457 J1721-2457 17:21:05.4 3.0e-04 -24:57:06.1 5.0e-02 1.900 1.2e+00 -25.000 1.6e+01 * 0 55000.00 0.387 6.751 0.003497 1.9e-16 5.54e-21 7.0e-24 * 0 * 0 53400.00 47.76 1.9e-02 * 0 * 0 0.58 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.37 * pkssw,htru_pks * -1284 J1721+35 J1721+35 17:21:57 4.0e+01 +35:24 1.0e+01 * 0 * 0 * 0 57022.00 59.326 32.702 0.821900 0 * 0 * 0 * 0 57022.00 22.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.95 * misc * -1285 B1718-35 J1721-3532 17:21:32.7 1.6e-02 -35:32:49.6 1.1e+00 * 0 * 0 * 0 51374.00 351.687 0.670 0.280424 6.0e-12 2.52e-14 8.0e-20 6.900e-25 5.0e-26 * 0 51374.00 496.00 4.0e-01 * 0 * 0 11.00 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * pks1,pksmb,htru_pks * - -1286 B1718-32 J1722-3207 17:22:02.9 2.3e-03 -32:07:45.3 2.2e-01 -1.000 5.0e+00 -40.000 2.7e+01 * 0 49894.00 354.561 2.525 0.477158 4.0e-12 6.46e-16 3.0e-20 8.900e-29 3.0e-27 * 0 49894.00 126.06 8.0e-03 * 0 61.00 4.0e+00 3.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.93 * jb1,mol2,pks1,pks70,pksmb,htru_pks * -1287 B1718-36 J1722-3632 17:22:09.8 8.0e-03 -36:32:53.3 5.0e-01 * 0 * 0 * 0 48378.60 350.934 -0.001 0.399183 4.0e-12 4.46e-15 3.0e-19 * 0 * 0 48378.60 416.20 2.0e-01 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.99 * pks1,pksmb,htru_pks * -1288 B1719-37 J1722-3712 17:22:59.1 4.0e-02 -37:12:03.7 6.0e-01 * 0 * 0 * 0 48381.00 350.490 -0.507 0.236173 4.0e-12 1.09e-14 3.0e-19 * 0 * 0 48381.00 99.49 3.0e-02 * 0 25.00 0 3.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.48 * mol2,pks1,pks70,pksmb,htru_pks * -1289 J1722-4400 J1722-4400 17:22:46.5 1.2e-02 -44:00:33.2 3.0e-01 * 0 * 0 * 0 53058.00 344.843 -4.319 0.218554 1.5e-12 3.74e-16 4.0e-19 * 0 * 0 53058.00 219.30 5.0e-01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.07 * pksmb * -1290 J1723-2837 J1723-2837 17:23:23.1 8.0e-04 -28:37:57.1 1.1e-01 * 0 * 0 * 0 55667.00 357.616 4.260 0.001856 1.1e-14 7.54e-21 5.0e-22 * 0 * 0 55667.00 19.69 1.3e-02 * 0 * 0 1.10 0 ELL1 * 0 0.6154 8.0e-09 1.2258 9.0e-06 * 0 * 0 55425.3205 2.0e-06 * 0 * 0 0.72 OPT:2MASS_J17232318-2837571[cls+13] pksmb * - -1291 J1723-2852 J1723-2852 17:23:58.2 3.0e-01 -28:52:51 1.5e+01 * 0 * 0 * 0 54948.60 357.482 4.015 0.625034 1.2e-09 9.00e-16 1.6e-15 * 0 * 0 54948.60 172.00 6.0e+00 * 0 * 0 0.13 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.76 * pksmb * -1292 J1723-3659 J1723-3659 17:23:07.5 6.0e-03 -36:59:13.9 3.0e-01 * 0 * 0 * 0 51118.00 350.682 -0.409 0.202722 1.7e-12 8.01e-15 4.0e-19 * 0 * 0 51118.00 254.40 1.0e-01 * 0 * 0 1.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * pksmb,htru_pks * -1293 J1723-38 J1723-38 17:23 5.0e+00 -38:20 7.0e+00 * 0 * 0 * 0 56657.00 349.557 -1.149 0.765796 1.0e-10 * 0 * 0 * 0 56657.00 472.00 2.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.88 * htru_pks * -1294 J1724-3149 J1724-3149 17:24:44.8 7.0e-02 -31:49:04 4.0e+00 * 0 * 0 * 0 51995.00 355.142 2.228 0.948237 9.0e-11 7.25e-15 4.0e-17 * 0 * 0 51995.00 409.00 4.0e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.47 * pksmb,htru_pks * -1295 J1724-35 J1724-35 17:24:43 3.6e+01 -35:49 7.0e+00 * 0 * 0 * 0 54776.00 351.829 -0.013 1.421990 2.0e-05 * 0 * 0 * 0 54776.00 554.90 9.9e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.33 * pksmb RRAT - -1296 J1724-3505 J1724-3505 17:24:47.8 1.7e-01 -35:05:36 7.0e+00 * 0 * 0 * 0 51074.00 352.437 0.380 1.221708 3.0e-10 2.11e-14 9.0e-17 * 0 * 0 51074.00 875.00 3.0e+00 * 0 * 0 0.24 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.78 * pksmb,htru_pks * -1297 J1724-4500 J1724-4500 17:24:25.8 3.0e-01 -45:00:15 4.0e+00 * 0 * 0 * 0 53255.00 344.182 -5.121 1.309109 3.0e-10 3.51e-15 1.2e-16 * 0 * 0 53255.00 182.00 3.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * pksmb * -1298 J1725-0732 J1725-0732 17:25:12.2 6.0e-03 -07:32:59.2 3.0e-01 * 0 * 0 * 0 52820.58 15.866 15.324 0.239919 4.0e-12 4.30e-16 3.0e-19 * 0 * 0 52820.58 58.91 7.0e-02 * 0 * 0 0.11 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * misc * -1299 J1725-2852 J1725-2852 17:25:09.9 3.0e-01 -28:52:22 1.7e+01 * 0 * 0 * 0 52197.00 357.636 3.803 1.257788 1.0e-08 1.99e-15 1.5e-16 * 0 * 0 52197.00 161.00 1.0e+01 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.25 * pksmb * -1300 J1725-3546 J1725-3546 17:25:42.2 3.0e-01 -35:46:16 7.0e+00 * 0 * 0 * 0 51074.00 351.979 -0.153 1.032471 4.0e-10 1.50e-14 8.0e-17 * 0 * 0 51074.00 744.00 4.0e+00 * 0 * 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * pksmb,htru_pks * - -1301 J1725-3848 J1725-3848 17:25:00.1 5.0e-01 -38:48:36 1.4e+01 * 0 * 0 * 0 51399.00 349.384 -1.741 2.062386 1.3e-09 2.30e-14 5.0e-16 * 0 * 0 51399.00 230.00 1.1e+01 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.14 * pksmb * -1302 J1725-3853 J1725-3853 17:25:27.2 8.0e-02 -38:53:04.2 5.0e-02 * 0 * 0 * 0 55846.00 349.372 -1.856 0.004792 3.0e-12 5.00e-20 3.0e-20 * 0 * 0 55846.00 158.20 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pksmb * -1303 J1725-4043 J1725-4043 17:25:41.4 4.0e-02 -40:43:11 2.0e+00 * 0 * 0 * 0 51728.00 347.874 -2.920 1.465071 9.0e-11 2.79e-15 3.0e-17 * 0 * 0 51728.00 203.00 3.0e+00 * 0 * 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * pksmb,htru_pks * -1304 J1726-00 J1726-00 17:26:23 3.0e+01 -00:15 8.0e+00 * 0 * 0 * 0 56359.00 22.638 18.710 1.308600 0 * 0 * 0 * 0 56359.00 57.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.05 * ar327 * -1305 J1726-31 J1726-31 17:26:36 3.0e+01 -31:57 7.0e+00 * 0 * 0 * 0 51026.40 355.252 1.828 0.123470 9.0e-08 * 0 * 0 * 0 51026.40 264.40 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.14 * pksmb * - -1306 J1726-3530 J1726-3530 17:26:07.5 6.0e-02 -35:29:58 4.0e+00 * 0 * 0 * 0 51522.00 352.252 -0.072 1.110132 5.0e-11 1.22e-12 4.0e-18 * 0 * 0 51522.00 718.00 4.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.72 SNR:G352.2-0.1(?)[mbc+02] pksmb,htru_pks * -1307 J1726-3635 J1726-3635 17:26:49.6 3.0e-02 -36:35:45.6 1.3e+00 * 0 * 0 * 0 51111.00 351.422 -0.802 0.287432 1.3e-11 1.44e-15 3.0e-18 * 0 * 0 51111.00 539.20 7.0e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.84 * pksmb * -1308 J1726-4006 J1726-4006 17:26:33.3 7.0e-02 -40:06:02 4.0e+00 * 0 * 0 * 0 52475.00 348.481 -2.711 0.882778 1.0e-10 3.33e-15 4.0e-17 * 0 * 0 52475.00 277.00 3.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.40 * pksmb,htru_pks * -1309 J1727-2739 J1727-2739 17:27:30.9 1.2e-01 -27:39:00.5 1.7e+01 * 0 * 0 * 0 52263.00 358.943 4.052 1.293100 1.6e-10 1.10e-15 3.0e-17 * 0 * 0 52263.00 147.00 4.0e+00 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb,htru_pks * -1310 J1727-29 J1727-29 17:27:19 3.3e+01 -29:59 7.0e+00 * 0 * 0 * 0 * 356.973 2.795 * 0 * 0 * 0 * 0 * 93.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * pksmb RRAT - -1311 J1727-2946 J1727-2946 17:27:15.0 1.7e-04 -29:46:36.7 1.7e-02 0.600 9.0e-01 0.000 8.0e+00 * 0 54723.00 357.137 2.921 0.027083 1.2e-15 2.46e-19 3.0e-23 * 0 * 0 54723.00 60.74 3.0e-02 * 0 * 0 0.25 0 BT 54711.4717 3.0e-05 40.3077 3.0e-08 56.5325 5.0e-06 320.40 2.0e-04 4.563e-02 1.6e-07 * 0 * 0 * 0 1.88 * pksmb * -1312 B1726-00 J1728-0007 17:28:34.8 6.7e-03 -00:07:45.0 2.9e-01 * 0 * 0 * 0 50089.00 23.029 18.287 0.386004 1.5e-12 1.12e-15 1.4e-20 -1.190e-26 2.0e-27 * 0 50089.00 41.09 3.0e-02 * 0 11.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.46 * gb3,pkssw * -1313 J1728-3733 J1728-3733 17:28:46.2 1.6e-01 -37:33:08 9.0e+00 * 0 * 0 * 0 51112.00 350.842 -1.656 0.615538 1.6e-10 7.20e-17 3.1e-17 * 0 * 0 51112.00 281.50 7.0e-01 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pksmb * -1314 J1728-4028 J1728-4028 17:28:27.6 1.7e-01 -40:28:10 4.0e+00 * 0 * 0 * 0 52077.00 348.375 -3.218 0.866343 4.0e-09 2.33e-16 6.0e-17 * 0 * 0 52077.00 231.00 1.0e+01 * 0 * 0 0.90 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * pksmb,htru_pks * -1315 J1729-2117 J1729-2117 17:29:10.8 6.0e-03 -21:17:28 1.0e+00 * 0 * 0 * 0 55505.00 4.496 7.222 0.066293 4.0e-13 1.72e-19 7.0e-21 * 0 * 0 55505.00 34.49 4.0e-02 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.97 * htru_pks * - -1316 J1730-2304 J1730-2304 17:30:21.6 8.0e-05 -23:04:31.1 2.0e-02 20.264 1.9e-02 8.300 8.3e+00 1.190 2.7e-01 54500.00 3.137 6.023 0.008123 4.0e-17 2.02e-20 3.0e-25 * 0 * 0 54500.00 9.62 0 0.001 5.0e-05 43.00 6.0e+00 3.90 1.9e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.62 XRS:[pb15] pks70,pkssw,pksmb,htru_pks HE[lsg+15] -1317 J1730-2900 J1730-2900 17:30:08.2 1.0e-01 -29:00:46 1.2e+01 * 0 * 0 * 0 53128.00 358.123 2.819 1.538427 3.0e-10 8.85e-15 8.0e-17 * 0 * 0 53128.00 289.00 5.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.06 * pksmb * -1318 B1727-33 J1730-3350 17:30:32.5 1.2e-02 -33:50:39.4 1.1e+00 * 0 * 0 * 0 50198.00 354.133 0.090 0.139460 1.8e-11 8.48e-14 1.8e-19 6.190e-23 4.0e-25 * 0 50198.00 261.29 4.0e-02 * 0 9.20 0 3.20 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.49 * pks1,pksmb,htru_pks * -1319 J1730-3353 J1730-3353 17:30:55.5 1.0e-01 -33:53:38 1.2e+01 * 0 * 0 * 0 51672.00 354.135 -0.004 3.270242 5.0e-10 2.20e-14 4.0e-17 * 0 * 0 51672.00 256.00 1.0e+01 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * -1320 J1730-34 J1730-34 17:30:06 3.0e+01 -34:48 7.0e+00 * 0 * 0 * 0 56657.00 353.285 -0.360 0.099830 1.5e-07 * 0 * 0 * 0 56657.00 628.00 5.0e+00 * 0 * 0 0.03 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * htru_pks * - -1321 J1731-1847 J1731-1847 17:31:17.6 1.7e-05 -18:47:32.6 3.0e-03 -1.700 3.0e-01 -6.000 3.0e+00 * 0 55215.10 6.890 8.151 0.002345 1.1e-16 2.54e-20 5.0e-24 * 0 * 0 55215.10 106.47 6.0e-04 * 0 * 0 0.37 0 BTX 55132.4363 1.0e-03 0.3111 1.0e-09 0.1202 6.0e-07 144.00 1.2e+01 2.900e-05 6.0e-06 * 0 * 0 * 0 4.78 XRS:[pb15] htru_pks * -1322 J1731-3123 J1731-3123 17:31:00.5 3.0e-02 -31:23:43 4.0e+00 * 0 * 0 * 0 51702.00 356.233 1.354 0.753048 3.0e-11 1.68e-15 3.0e-18 * 0 * 0 51702.00 354.00 3.0e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.17 * pksmb,htru_pks * -1323 J1731-3322 J1731-3322 17:31:14.3 1.0e-01 -33:22:45 2.0e+00 * 0 * 0 * 0 56716.00 354.601 0.225 0.544671 4.0e-11 2.81e-14 1.8e-21 * 0 * 0 56716.00 877.40 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * htru_pks * -1324 B1727-47 J1731-4744 17:31:42.1 5.0e-03 -47:44:34.5 1.4e-01 73.000 5.0e+00 -127.000 1.3e+01 * 0 50059.00 342.565 -7.669 0.829829 5.0e-11 1.64e-13 4.0e-18 5.600e-24 1.3e-24 * 0 50939.00 123.06 4.0e-03 * 0 190.00 0 12.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.54 * mol1,mol2,pks70,pkssw,htru_pks * -1325 J1732-1930 J1732-1930 17:32:20.0 3.1e-02 -19:30:09 6.8e+00 * 0 * 0 * 0 51197.00 6.417 7.563 0.483770 8.0e-12 1.82e-16 1.0e-19 5.800e-27 1.3e-26 * 0 51197.00 72.43 1.4e-01 * 0 11.00 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * pks70,htru_pks * - -1326 J1732-3131 J1732-3131 17:32:33.5 3.0e-02 -31:31:23 2.0e+00 * 0 * 0 * 0 54933.00 356.307 1.007 0.196543 2.0e-11 2.80e-14 1.2e-18 * 0 * 0 54933.00 15.44 3.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.64 GRS:2FGL_J1732.5-3131[naa+12] FermiBlind HE -1327 J1732-3426 J1732-3426 17:32:07.1 7.0e-02 -34:26:05 3.0e+00 * 0 * 0 * 0 52359.00 353.818 -0.507 0.332887 4.0e-11 4.02e-16 9.0e-18 * 0 * 0 52359.00 513.50 1.8e+00 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pksmb,htru_pks * -1328 J1732-35 J1732-35 17:32:30 2.4e+01 -35:05 7.0e+00 * 0 * 0 * 0 56657.00 353.318 -0.926 0.126690 5.0e-12 * 0 * 0 * 0 56657.00 340.00 2.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * htru_pks * -1329 J1732-3729 J1732-3729 17:32:20.8 5.0e-02 -37:29:05 3.0e+00 * 0 * 0 * 0 51724.00 351.288 -2.211 2.184001 1.5e-10 1.30e-15 5.0e-17 * 0 * 0 51724.00 317.00 3.0e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.93 * pksmb * -1330 B1729-41 J1732-4128 17:32:50.0 1.0e-01 -41:28:48 4.0e+00 * 0 * 0 * 0 43565.05 347.980 -4.462 0.627981 3.0e-10 1.28e-14 1.2e-17 * 0 * 0 43565.05 195.30 4.0e-01 * 0 9.00 0 0.63 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.23 * mol2,pksmb,htru_pks * - -1331 J1732-4156 J1732-4156 17:32:48.8 4.0e-02 -41:56:29.6 1.6e+00 * 0 * 0 * 0 51911.00 347.589 -4.709 0.323434 1.3e-11 6.61e-16 6.0e-18 * 0 * 0 51911.00 228.70 1.5e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.53 * pksmb * -1332 J1732-5049 J1732-5049 17:32:47.7 1.9e-05 -50:49:00.1 4.0e-04 -0.410 9.0e-02 -9.870 1.9e-01 * 0 54500.00 340.029 -9.454 0.005313 1.2e-16 1.42e-20 1.7e-24 * 0 * 0 54500.00 56.84 0 0.001 1.2e-04 * 0 1.70 3.0e-01 ELL1 * 0 5.2630 5.0e-10 3.9829 4.0e-07 165.83 0.0e+00 8.498e-06 0.0e+00 51396.3661 3.0e-07 2.080e-06 1.6e-07 -8.240e-06 1.6e-07 1.87 GRS:[hsg+14] pkssw,htru_pks HE -1333 B1730-22 J1733-2228 17:33:26.4 3.7e-02 -22:28:37 1.1e+01 * 0 * 0 * 0 48712.00 4.029 5.749 0.871683 3.0e-12 4.27e-17 1.0e-20 -2.200e-28 1.7e-28 * 0 48712.00 41.14 3.0e-02 * 0 25.00 3.0e+00 2.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.10 * jb1,mol2,pks70,pkssw,pksmb,htru_pks * -1334 J1733-2533 J1733-2533 17:33:25.8 8.0e-02 -25:33:11 1.8e+01 * 0 * 0 * 0 53070.00 1.428 4.092 0.659794 4.0e-11 2.10e-15 5.0e-18 * 0 * 0 53070.00 242.00 5.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.03 * pksmb * -1335 J1733-2837 J1733-2837 17:33:33.9 5.0e-02 -28:37:33 8.0e+00 * 0 * 0 * 0 53128.00 358.857 2.402 0.768185 6.0e-11 1.11e-15 8.0e-18 * 0 * 0 53128.00 225.00 5.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.74 * pksmb * - -1336 J1733-3030 J1733-3030 17:33:58.8 6.0e-02 -30:30:49 7.0e+00 * 0 * 0 * 0 51914.00 357.320 1.301 0.362052 1.4e-11 1.65e-15 1.1e-18 * 0 * 0 51914.00 636.00 3.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 20.58 * pksmb,htru_pks * -1337 J1733-3322 J1733-3322 17:33:55.2 8.0e-02 -33:22:03 4.0e+00 * 0 * 0 * 0 51250.00 354.917 -0.238 1.245915 8.0e-11 4.10e-15 3.0e-17 * 0 * 0 51250.00 524.00 1.7e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * -1338 B1730-37 J1733-3716 17:33:26.7 1.8e-03 -37:16:55.2 9.0e-02 4.000 9.0e+00 63.000 3.4e+01 * 0 54433.00 351.577 -2.284 0.337594 1.2e-11 1.50e-14 1.9e-19 * 0 * 0 54433.00 153.18 8.0e-02 * 0 * 0 3.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * pks1,pksmb,htru_pks * -1339 J1733-4005 J1733-4005 17:33:58.6 3.0e-02 -40:05:39.7 1.5e+00 * 0 * 0 * 0 52385.00 349.266 -3.895 0.561778 1.3e-11 3.62e-15 3.0e-18 * 0 * 0 52385.00 317.80 1.1e+00 * 0 * 0 0.49 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.19 * pksmb,htru_pks * -1340 J1733-5515 J1733-5515 17:33:00.4 3.0e-01 -55:15:40 5.0e+00 * 0 * 0 * 0 55194.00 336.188 -11.801 1.011234 8.0e-09 4.00e-16 2.0e-16 * 0 * 0 55194.00 83.90 8.0e-01 * 0 * 0 0.38 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.22 * htru_pks * - -1341 B1732-02 J1734-0212 17:34:45.6 2.5e-02 -02:12:39.1 1.4e+00 * 0 * 0 * 0 49699.00 21.904 15.928 0.839394 9.0e-12 4.21e-16 8.0e-20 3.200e-27 1.9e-27 * 0 49699.00 65.05 9.0e-02 * 0 5.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * gb2 * -1342 J1734-2415 J1734-2415 17:34:41.6 3.0e-01 -24:15:20 9.0e+01 * 0 * 0 * 0 53164.00 2.678 4.551 0.612524 1.2e-10 1.05e-15 1.2e-17 * 0 * 0 53164.00 126.30 7.0e-01 * 0 * 0 0.29 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pksmb,htru_pks * -1343 J1734-3058 J1734-3058 17:34:50.8 7.0e-03 -30:58:41.4 8.0e-01 * 0 * 0 * 0 56400.00 357.031 0.893 0.541286 5.0e-12 1.62e-17 5.0e-19 * 0 * 0 56400.00 260.00 1.4e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * htru_pks * -1344 J1734-3333 J1734-3333 17:34:26.9 2.0e-01 -33:33:20 1.0e+01 * 0 * 0 * 0 53145.00 354.819 -0.433 1.169341 5.0e-09 2.28e-12 5.0e-17 2.800e-24 6.0e-25 * 0 53145.00 578.00 9.0e+00 * 0 * 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 * pksmb,htru_pks HE[oklk10] -1345 J1735-0243 J1735-0243 17:35:48.1 2.0e-01 -02:43:48 5.0e+00 * 0 * 0 * 0 54827.00 21.564 15.448 0.782887 5.0e-10 6.32e-16 1.2e-17 * 0 * 0 54827.00 55.40 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 * gb350 * - -1346 B1732-07 J1735-0724 17:35:04.9 1.1e-03 -07:24:52.4 7.0e-02 -2.400 1.7e+00 28.000 3.0e+00 * 0 49887.00 17.271 13.284 0.419335 1.1e-12 1.21e-15 9.0e-21 4.700e-27 1.2e-27 * 0 49887.00 73.51 4.0e-03 * 0 18.00 2.0e+00 1.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.21 * misc,mol2,gb2,pks70,pkssw,htru_pks * -1347 J1735-3258 J1735-3258 17:35:56.9 3.0e-01 -32:58:19 1.9e+01 * 0 * 0 * 0 51573.00 355.479 -0.381 0.350963 1.2e-10 2.61e-14 7.0e-17 * 0 * 0 51573.00 758.00 3.0e+00 * 0 * 0 0.46 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.97 * pksmb * -1348 J1736+05 J1736+05 17:36:54 1.6e+01 +05:48 5.0e+00 * 0 * 0 * 0 49717.00 29.592 19.208 0.999245 3.0e-06 * 0 * 0 * 0 49717.00 42.00 8.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * ar4,pkssw * -1349 J1736-2457 J1736-2457 17:36:45.4 8.0e-02 -24:57:50 2.2e+01 * 0 * 0 * 0 53095.00 2.331 3.775 2.642223 1.4e-10 3.43e-15 3.0e-17 * 0 * 0 53095.00 170.00 4.0e+00 * 0 * 0 0.84 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * pksmb,htru_pks * -1350 J1736-2819 J1736-2819 17:36:24.7 9.0e-02 -28:19:42 1.6e+01 * 0 * 0 * 0 51716.00 359.446 2.036 1.592419 1.3e-10 1.49e-14 1.3e-17 * 0 * 0 51716.00 261.00 1.1e+01 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * pksmb * - -1351 J1736-2843 J1736-2843 17:36:42.5 1.6e-01 -28:43:51 2.2e+01 * 0 * 0 * 0 52344.00 359.142 1.764 6.445036 1.7e-09 3.00e-14 1.7e-16 * 0 * 0 52344.00 331.00 1.0e+01 * 0 * 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.38 * pksmb,htru_pks * -1352 J1736-3511 J1736-3511 17:36:02.7 3.0e-01 -35:11:56 1.1e+01 * 0 * 0 * 0 51386.00 353.614 -1.598 0.502803 1.3e-10 1.57e-15 8.0e-17 * 0 * 0 51386.00 106.00 3.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * pksmb,htru_pks * -1353 J1737-0811 J1737-0811 17:37:47.1 1.4e-04 -08:11:08.8 5.0e-03 * 0 * 0 * 0 54987.00 16.933 12.318 0.004175 8.0e-16 7.93e-21 8.0e-23 * 0 * 0 54987.00 55.31 3.0e-03 * 0 * 0 * 0 BT 54696.8798 2.0e-09 79.5174 2.0e-06 9.3328 3.0e-06 49.80 9.0e-01 5.380e-05 8.0e-07 * 0 * 0 * 0 0.21 * gb350 * -1354 J1737-3102 J1737-3102 17:37:33.7 4.0e-02 -31:02:00.5 4.1e+00 * 0 * 0 * 0 51112.00 357.298 0.373 0.768672 5.0e-11 3.73e-14 6.0e-18 * 0 * 0 51112.00 280.00 6.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 * pksmb,htru_pks * -1355 J1737-3137 J1737-3137 17:37:04.2 4.0e-02 -31:37:21 3.0e+00 * 0 * 0 * 0 51234.00 356.744 0.145 0.450432 7.0e-11 1.39e-13 3.0e-18 7.200e-24 1.4e-24 * 0 51234.00 488.10 4.0e-01 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.16 * pksmb,htru_pks * - -1356 J1737-3320 J1737-3320 17:37:10.5 5.0e-02 -33:20:20 5.0e+00 * 0 * 0 * 0 51887.00 355.308 -0.795 0.816273 6.0e-11 2.25e-15 6.0e-18 * 0 * 0 51887.00 804.00 5.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.29 * pksmb,htru_pks * -1357 B1734-35 J1737-3555 17:37:40.0 6.0e-03 -35:55:43.8 4.0e-01 * 0 * 0 * 0 48378.60 353.175 -2.268 0.397585 3.0e-12 6.12e-15 2.0e-19 * 0 * 0 48378.60 89.41 4.0e-02 * 0 * 0 0.74 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * pks1,pksmb,htru_pks * -1358 J1738+0333 J1738+0333 17:38:53.9 3.0e-07 +03:33:10.8 3.0e-05 7.037 5.0e-03 5.073 1.2e-02 0.680 5.0e-02 54600.00 27.721 17.742 0.005850 1.1e-18 2.41e-20 1.4e-25 * 0 * 0 54600.00 33.77 4.0e-05 0.001 3.0e-05 * 0 0.67 0 ELL1 * 0 0.3548 1.3e-12 0.3434 1.7e-08 335.70 0.0e+00 3.401e-07 0.0e+00 54600.2004 5.0e-08 -1.400e-07 1.1e-07 3.100e-07 1.1e-07 1.47 OPT:[avk+12] pkssw * -1359 J1738+04 J1738+04 17:38:25 1.1e+02 +04:20 8.0e+00 * 0 * 0 * 0 57022.00 28.392 18.207 1.391790 0 * 0 * 0 * 0 57022.00 23.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * ar327 * -1360 J1738-2330 J1738-2330 17:38:08.8 3.0e-01 -23:30:47 1.0e+02 * 0 * 0 * 0 53206.00 3.731 4.280 1.978847 4.0e-11 8.56e-15 4.0e-18 * 0 * 0 53206.00 99.30 1.8e+00 * 0 * 0 1.05 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * pksmb,htru_pks * - -1361 J1738-2647 J1738-2647 17:38:05.0 4.0e-02 -26:47:46 2.6e+01 * 0 * 0 * 0 52359.00 0.940 2.544 0.349591 5.0e-11 3.15e-15 1.5e-17 * 0 * 0 52359.00 182.20 1.6e+00 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * pksmb,htru_pks * -1362 J1738-2736 J1738-2736 17:38:14.6 5.0e-03 -27:36:25.8 9.0e-01 * 0 * 0 * 0 56315.00 0.272 2.081 0.627716 1.9e-11 4.62e-15 7.0e-19 * 0 * 0 56315.00 323.60 7.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.98 * htru_pks * -1363 J1738-2955 J1738-2955 17:38:52.2 1.0e-01 -29:55:51 1.0e+01 * 0 * 0 * 0 51528.00 358.380 0.724 0.443398 4.0e-10 8.19e-14 6.0e-18 3.400e-24 1.0e-23 * 0 51528.00 223.40 6.0e-01 * 0 * 0 0.29 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb * -1364 J1738-3107 J1738-3107 17:38:47.4 3.0e-01 -31:07:44 1.4e+01 * 0 * 0 * 0 52333.00 357.358 0.100 0.549498 1.3e-10 2.96e-16 7.0e-17 * 0 * 0 52333.00 735.00 1.0e+01 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb,htru_pks * -1365 B1735-32 J1738-3211 17:38:54.1 8.6e-03 -32:11:53.6 5.8e-01 * 0 * 0 * 0 49595.00 356.466 -0.491 0.768499 3.0e-12 7.95e-16 1.8e-20 3.700e-28 5.0e-28 * 0 49595.00 49.59 4.0e-02 * 0 2.90 0 2.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 * jb2,pks1,pksmb,htru_pks * - -1366 J1738-3316 J1738-3316 17:38:34.4 6.0e-02 -33:16:01.6 4.9e+00 * 0 * 0 * 0 51702.00 355.525 -1.003 0.730373 5.0e-11 8.86e-17 4.0e-18 * 0 * 0 51702.00 273.00 4.0e+00 * 0 * 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * pksmb * -1367 J1739+0612 J1739+0612 17:39:17.9 4.0e-03 +06:12:28.4 1.0e+00 * 0 * 0 * 0 53000.00 30.261 18.858 0.234169 3.0e-12 1.56e-16 1.2e-19 * 0 * 0 53000.00 101.50 1.3e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pkssw * -1368 J1739-1313 J1739-1313 17:39:57.8 6.0e-03 -13:13:18.6 4.0e-01 * 0 * 0 * 0 51500.00 12.794 9.297 1.215698 9.0e-12 8.17e-17 9.0e-19 * 0 * 0 51500.00 58.20 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.73 * pkssw,htru_pks * -1369 J1739-2521 J1739-2521 17:39:32.6 5.4e-02 -25:21:56 1.5e+01 * 0 * 0 * 0 55631.00 2.327 3.027 1.818461 2.4e-10 2.40e-16 2.0e-17 * 0 * 0 55631.00 186.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * pksmb RRAT -1370 B1736-29 J1739-2903 17:39:34.2 4.1e-03 -29:03:03.5 5.4e-01 * 0 * 0 * 0 49448.00 359.206 1.064 0.322882 9.0e-12 7.88e-15 7.0e-20 6.300e-26 1.2e-26 * 0 49448.00 138.55 2.0e-02 * 0 * 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.91 * jb2,pks1,pksmb,htru_pks * - -1371 J1739-3023 J1739-3023 17:39:39.8 2.0e-02 -30:23:12 2.0e+00 * 0 * 0 * 0 51497.00 358.086 0.336 0.114368 4.0e-11 1.14e-14 1.2e-19 4.500e-24 1.8e-24 * 0 51497.00 170.50 1.0e-01 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.07 * pksmb,htru_pks HE[lsg+15] -1372 J1739-3049 J1739-3049 17:39:23.2 6.0e-02 -30:49:40 5.0e+00 * 0 * 0 * 0 51116.00 357.680 0.152 0.239317 1.8e-11 2.18e-15 1.8e-18 * 0 * 0 51116.00 573.20 2.1e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1373 B1736-31 J1739-3131 17:39:24.3 5.5e-03 -31:31:15.3 5.0e-01 * 0 * 0 * 0 49138.00 357.096 -0.220 0.529441 1.5e-10 1.86e-14 1.5e-18 -3.000e-25 9.0e-26 * 0 49138.00 600.10 1.2e+00 * 0 * 0 4.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * jb2,pks1,pksmb,htru_pks * -1374 J1739-3159 J1739-3159 17:39:48.6 8.0e-02 -31:59:49 9.0e+00 * 0 * 0 * 0 51158.00 356.739 -0.547 0.877561 1.5e-10 1.97e-16 1.5e-17 * 0 * 0 51158.00 337.00 5.0e+00 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.80 * pksmb,htru_pks * -1375 J1739-3951 J1739-3951 17:39:38.2 4.0e-02 -39:52:00.3 8.0e-01 * 0 * 0 * 0 52897.00 350.039 -4.690 0.341772 1.0e-11 1.99e-17 5.0e-18 * 0 * 0 52897.00 24.60 4.0e-01 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.78 * pksmb * - -1376 J1740+1000 J1740+1000 17:40:25.9 5.0e-03 +10:00:06.3 2.0e-01 * 0 * 0 * 0 51662.00 34.011 20.268 0.154087 2.0e-12 2.15e-14 2.0e-19 * 0 * 0 51662.00 23.90 2.5e-02 * 0 3.10 2.0e-01 9.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.23 * misc,pkssw * -1377 B1737+13 J1740+1311 17:40:07.3 1.2e-03 +13:11:56.6 3.0e-02 -22.000 2.0e+00 -20.000 2.0e+00 * 0 48262.00 37.085 21.679 0.803050 4.0e-12 1.45e-15 1.2e-20 1.660e-26 4.0e-28 * 0 48262.00 48.67 4.3e-04 * 0 24.00 2.0e+00 3.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * mol2,gb3,pkssw,gb4 * -1378 J1740-2540 J1740-2540 17:40:45.3 6.0e-02 -25:40:19 1.8e+01 * 0 * 0 * 0 52162.00 2.212 2.633 1.692656 9.0e-11 1.85e-15 1.2e-17 * 0 * 0 52162.00 333.00 5.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.04 * pksmb * -1379 B1737-30 J1740-3015 17:40:33.8 1.0e-02 -30:15:43.5 2.0e-01 * 0 * 0 * 0 54780.00 358.294 0.238 0.606887 4.0e-11 4.66e-13 1.2e-17 * 0 * 0 54780.00 151.96 1.0e-02 * 0 24.60 0 6.40 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 * jb2,pks1,pks70,pksmb,htru_pks * -1380 J1740-3052 J1740-3052 17:40:50.0 5.0e-03 -30:52:04.3 2.1e-01 * 0 * 0 * 0 53191.00 357.811 -0.132 0.570313 3.0e-12 2.55e-14 9.5e-20 * 0 * 0 53191.00 738.78 8.0e-02 * 0 * 0 0.70 2.0e-01 MSS 52970.7198 1.1e-05 231.0296 2.0e-06 756.9079 1.4e-04 178.65 1.7e-05 5.789e-01 1.9e-07 * 0 * 0 * 0 4.75 OPT:[bbn+11] pksmb,htru_pks * - -1381 J1740-3327 J1740-3327 17:40:25.7 3.0e-02 -33:27:53.5 1.7e+00 * 0 * 0 * 0 52189.00 355.564 -1.436 0.515001 1.4e-11 3.90e-15 1.4e-18 * 0 * 0 52189.00 274.10 1.5e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.20 * pksmb,htru_pks * -1382 J1740-5340A J1740-5340A 17:40:44.5 4.0e-03 -53:40:40.9 1.0e-01 * 0 * 0 * 0 51917.00 338.165 -11.967 0.003650 1.0e-14 1.68e-19 7.0e-21 * 0 * 0 51917.00 71.80 2.0e-01 * 0 * 0 * 0 BT * 0 1.3541 5.0e-08 1.6528 7.0e-05 * 0 * 0 51749.7108 6.0e-06 * 0 * 0 2.20 GC:NGC6397,OPT:[fpds01],XRS:[ghe+01] pksgc * -1383 B1738-08 J1741-0840 17:41:22.5 1.7e-02 -08:40:31.8 1.1e+00 * 0 * 0 * 0 48714.00 16.955 11.304 2.043082 6.0e-12 2.27e-15 5.0e-20 4.400e-29 1.1e-28 * 0 48714.00 74.90 5.0e-02 * 0 29.00 8.0e+00 1.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.22 * mol2,gb2,gb3,pks70,pkssw,htru_pks * -1384 J1741+1351 J1741+1351 17:41:31.1 2.0e-06 +13:51:44.1 3.6e-05 * 0 * 0 0.560 1.3e-01 56209.00 37.885 21.641 0.003747 8.0e-18 3.02e-20 1.5e-25 * 0 * 0 56209.00 24.20 1.4e-04 * 0 * 0 0.93 0 ELL1 * 0 16.3353 5.0e-10 11.0033 6.0e-07 204.06 0.0e+00 9.984e-06 0.0e+00 56211.3030 1.6e-08 -4.070e-06 3.0e-08 -9.117e-06 1.0e-08 1.79 * pkssw HE[egc+13] -1385 J1741-2019 J1741-2019 17:41:06.8 3.0e-02 -20:19:24 5.0e+00 * 0 * 0 * 0 51500.00 6.815 5.377 3.904506 1.3e-10 1.63e-14 1.3e-17 * 0 * 0 51500.00 74.90 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.55 * pkssw,htru_pks * - -1386 J1741-2054 J1741-2054 17:41:57.2 2.0e-02 -20:54:11.8 3.0e-01 -63.000 1.2e+01 -89.000 9.0e+00 * 0 54933.00 6.422 4.907 0.413700 1.8e-10 1.70e-14 6.0e-18 * 0 * 0 54933.00 4.70 1.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 GRS:2FGL_J1741.9-2054[naa+12],XRS:Swift_ FermiBlind HE -1387 J1741-2719 J1741-2719 17:41:35.0 4.0e-02 -27:19:23 7.0e+00 * 0 * 0 * 0 52836.00 0.907 1.604 0.346797 1.9e-11 8.06e-17 4.0e-18 * 0 * 0 52836.00 361.90 4.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.51 * pksmb * -1388 J1741-2733 J1741-2733 17:41:01.3 4.0e-02 -27:33:51 7.0e+00 * 0 * 0 * 0 51184.00 0.636 1.582 0.892959 6.0e-11 1.48e-16 8.0e-18 * 0 * 0 51184.00 149.20 1.7e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.07 * pksmb,htru_pks * -1389 J1741+2758 J1741+2758 17:41:53.5 2.0e-02 +27:58:09.0 9.0e-01 * 0 * 0 * 0 51318.00 52.347 26.663 1.360738 4.0e-10 1.84e-15 1.0e-18 * 0 * 0 51797.00 29.14 1.1e-04 * 0 3.00 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * ar4 * -1390 J1741-2945 J1741-2945 17:41:14.4 4.0e-02 -29:45:35 5.0e+00 * 0 * 0 * 0 51088.00 358.798 0.380 0.223558 1.5e-11 6.34e-16 2.0e-18 * 0 * 0 51088.00 310.30 1.2e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.71 * pksmb * - -1391 J1741-3016 J1741-3016 17:41:07.0 6.0e-02 -30:16:31 1.0e+01 * 0 * 0 * 0 50959.00 358.346 0.130 1.893749 1.8e-10 8.99e-15 6.0e-17 * 0 * 0 50959.00 382.00 6.0e+00 * 0 * 0 2.30 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.87 * pksmb,htru_pks * -1392 J1741-34 J1741-34 17:41:54 3.0e+01 -34:19 7.0e+00 * 0 * 0 * 0 56657.00 355.002 -2.146 0.875137 2.0e-06 * 0 * 0 * 0 56657.00 241.00 8.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * htru_pks * -1393 B1737-39 J1741-3927 17:41:18.0 5.0e-03 -39:27:38.0 2.0e-01 20.000 1.5e+01 -6.000 5.9e+01 * 0 52384.00 350.555 -4.749 0.512211 8.0e-12 1.93e-15 1.4e-18 * 0 * 0 51700.00 158.50 6.0e-01 * 0 35.00 0 4.70 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * mol2,pks70,pksmb,htru_pks * -1394 J1742-3957 J1742-3957 17:42:04.4 1.9e-01 -39:57:22 9.0e+00 * 0 * 0 * 0 53124.00 350.209 -5.135 1.016349 4.0e-10 8.16e-17 2.9e-17 * 0 * 0 53124.00 186.00 8.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.05 * pksmb * -1395 J1742-4616 J1742-4616 17:42:26.1 2.0e-02 -46:16:53.5 4.0e-01 * 0 * 0 * 0 51650.00 344.790 -8.462 0.412401 7.0e-12 3.38e-17 1.2e-18 * 0 * 0 51650.00 115.96 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.69 * pkssw,htru_pks * - -1396 B1740-03 J1743-0339 17:43:08.1 2.7e-02 -03:39:11.5 1.4e+00 * 0 * 0 * 0 50067.00 21.649 13.400 0.444645 1.0e-10 1.56e-15 8.0e-19 1.500e-25 9.0e-26 * 0 50067.00 30.26 1.1e-01 * 0 3.10 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * mol2 * -1397 J1743+05 J1743+05 17:43:16 1.1e+02 +05:29 8.0e+00 * 0 * 0 * 0 57022.00 30.045 17.651 1.473630 0 * 0 * 0 * 0 57022.00 56.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * ar327 * -1398 B1740-13 J1743-1351 17:43:37.6 7.4e-03 -13:51:38.0 6.1e-01 * 0 * 0 * 0 49666.00 12.699 8.205 0.405337 1.0e-11 4.78e-16 9.0e-20 -7.500e-26 9.0e-27 * 0 49666.00 116.30 3.0e-02 * 0 6.10 8.0e-01 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * gb3,pks70,pkssw,htru_pks * -1399 J1743-2442 J1743-2442 17:43:20.1 1.0e-01 -24:42:55 4.1e+01 * 0 * 0 * 0 52133.00 3.333 2.640 1.242508 1.1e-10 4.72e-16 1.0e-17 * 0 * 0 52133.00 239.00 5.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.49 * pksmb * -1400 B1740-31 J1743-3150 17:43:36.6 1.4e-02 -31:50:21.7 1.4e+00 * 0 * 0 * 0 50241.00 357.299 -1.148 2.414576 6.0e-11 1.21e-13 6.0e-19 -2.400e-26 3.0e-27 * 0 50241.00 193.05 7.0e-02 * 0 6.60 0 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * pks1,pks70,pksmb,htru_pks * - -1401 J1743-3153 J1743-3153 17:43:15.5 1.3e-02 -31:53:05.3 1.7e+00 * 0 * 0 * 0 51309.00 357.221 -1.109 0.193105 7.0e-12 1.06e-14 4.0e-19 7.300e-25 1.2e-24 * 0 51309.00 505.70 1.2e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.86 * pksmb,htru_pks * -1402 J1743-35 J1743-35 17:43:06 3.0e+01 -35:32 7.0e+00 * 0 * 0 * 0 56657.00 354.095 -2.994 0.569980 9.0e-06 * 0 * 0 * 0 56657.00 174.00 5.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * htru_pks * -1403 J1743-4212 J1743-4212 17:43:05.2 5.0e-03 -42:12:02.4 2.0e-01 * 0 * 0 * 0 51650.00 348.381 -6.464 0.306167 1.6e-12 7.83e-16 4.0e-19 * 0 * 0 51650.00 131.94 5.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.01 * pkssw,htru_pks * -1404 J1744-1134 J1744-1134 17:44:29.4 1.1e-06 -11:34:54.6 8.0e-05 18.790 6.0e-03 -9.400 3.0e-02 2.530 7.0e-02 54500.00 14.794 9.180 0.004075 7.0e-18 8.93e-21 5.0e-26 * 0 * 0 54500.00 3.14 0 -0.000 1.8e-05 18.00 2.0e+00 3.10 2.6e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.40 GRS:2FGL_J1744.6-1135[naa+12] pks70,pkssw,htru_pks HE[aaa+09f] -1405 J1744-1610 J1744-1610 17:44:16.5 7.0e-03 -16:10:35.8 8.0e-01 * 0 * 0 * 0 51500.00 10.773 6.885 1.757206 1.6e-11 2.38e-15 1.6e-18 * 0 * 0 51500.00 66.67 1.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.92 * pkssw,htru_pks * - -1406 J1744-2335 J1744-2335 17:44:48.4 5.0e-02 -23:35:55 2.6e+01 * 0 * 0 * 0 49390.50 4.463 2.937 1.683507 2.0e-11 8.33e-16 9.0e-19 * 0 * 0 49390.50 96.66 2.0e-02 * 0 16.00 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.72 * pks70,pksmb,htru_pks * -1407 J1744-3130 J1744-3130 17:44:05.6 1.4e-02 -31:30:04 3.0e+00 * 0 * 0 * 0 50975.00 357.641 -1.059 1.066061 4.0e-11 2.12e-14 1.2e-17 * 0 * 0 50975.00 192.90 7.0e-01 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * pksmb,htru_pks * -1408 J1744-3922 J1744-3922 17:44:02.6 1.0e-02 -39:22:21.1 4.0e-01 * 0 * 0 * 0 52530.00 350.908 -5.155 0.172444 2.0e-12 1.55e-18 1.2e-19 * 0 * 0 52530.00 148.10 7.0e-01 * 0 * 0 0.11 1.6e-01 ELL1 * 0 0.1914 1.0e-08 0.2123 5.0e-05 * 0 * 0 52927.1672 3.0e-05 0.000e+00 1.0e-03 0.000e+00 1.0e-03 4.54 * pksmb * -1409 J1744-5337 J1744-5337 17:44:38.9 4.0e-02 -53:37:51 2.0e+00 * 0 * 0 * 0 55000.00 338.499 -12.447 0.355666 8.0e-10 1.90e-16 1.0e-17 * 0 * 0 55000.00 108.85 7.4e-01 * 0 * 0 0.39 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.79 * htru_pks * -1410 J1745-0129 J1745-0129 17:45:02.0 1.0e-02 -01:29:18.1 4.0e-01 * 0 * 0 * 0 51650.00 23.838 14.025 1.045407 1.8e-11 6.31e-16 4.0e-18 * 0 * 0 51650.00 90.10 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * pkssw * - -1411 J1745-0952 J1745-0952 17:45:09.1 2.0e-04 -09:52:39.6 1.5e-02 -21.200 1.1e+00 11.000 5.0e+00 * 0 53200.00 16.371 9.895 0.019376 1.9e-15 9.25e-20 5.0e-23 * 0 * 0 53200.00 64.47 1.4e-02 * 0 1.80 3.0e-01 0.38 3.0e-02 ELL1 * 0 4.9435 1.2e-08 2.3786 5.0e-06 113.96 0.0e+00 9.849e-06 0.0e+00 53198.6214 3.0e-06 9.000e-06 3.0e-06 -4.000e-06 4.0e-07 0.23 * pkssw,htru_pks * -1412 J1745+1017 J1745+1017 17:45:33.8 7.0e-04 +10:17:52.5 2.0e-03 6.000 1.0e+00 -5.000 1.0e+00 * 0 55400.00 34.869 19.254 0.002652 4.0e-16 2.73e-21 1.5e-23 * 0 * 0 55400.00 23.97 2.0e-03 * 0 * 0 * 0 ELL1 * 0 0.7302 1.0e-09 0.0882 1.0e-06 * 0 * 0 55209.9688 2.0e-06 0.000e+00 2.0e-05 0.000e+00 2.0e-05 1.21 GRS:2FGL_J1745.6+1015 FermiAssoc HE -1413 J1745-2229 J1745-2229 17:45:16.7 7.0e-02 -22:29:14 2.5e+01 * 0 * 0 * 0 52242.00 5.470 3.422 1.160593 1.9e-11 2.86e-15 3.0e-18 * 0 * 0 52242.00 299.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.55 * pksmb * -1414 J1745-2900 J1745-2900 17:45:40.1 8.0e-04 -29:00:29.8 1.0e-02 2.450 3.2e-01 5.890 1.1e-01 * 0 56899.00 359.944 -0.047 3.763733 1.7e-08 1.76e-11 3.0e-14 -1.047e-19 1.3e-21 * 0 56587.00 1778.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.30 AXP:SGR_J1745-29[kbk+13] misc AXP,HE -1415 J1745-2910 J1745-2910 17:45:16 3.4e+01 -29:10 3.0e+00 * 0 * 0 * 0 54620.26 359.763 -0.054 0.982000 0 * 0 * 0 * 0 54620.26 1088.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.97 * misc * - -1416 J1745-2912 J1745-2912 17:45:47.8 2.3e-04 -29:12:30.7 3.0e-03 * 0 * 0 * 0 57356.00 359.788 -0.175 0.187379 2.0e-07 * 0 * 0 * 0 53609.30 1130.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.11 * misc * -1417 B1742-30 J1745-3040 17:45:56.3 4.0e-04 -30:40:23.1 4.0e-02 12.500 1.5e+00 30.000 1.1e+01 * 0 53895.00 358.553 -0.963 0.367432 1.1e-11 1.07e-14 1.0e-19 -8.300e-26 5.0e-27 * 0 53895.00 88.37 4.0e-03 * 0 66.00 6.0e+00 13.00 1.3e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * misc,mol2,jb2,pks1,pksmb,htru_pks * -1418 J1745-3812 J1745-3812 17:45:15.4 4.0e-02 -38:12:07.3 9.0e-01 * 0 * 0 * 0 55330.00 352.036 -4.751 0.698353 2.0e-10 2.43e-15 7.0e-18 * 0 * 0 55330.00 160.80 4.0e-01 * 0 * 0 0.28 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * htru_pks * -1419 J1746+2245 J1746+2245 17:46:00.8 3.0e-02 +22:45:28.9 8.0e-01 * 0 * 0 * 0 52765.00 47.252 24.048 3.465038 6.0e-11 4.92e-15 7.0e-18 * 0 * 0 52765.00 49.85 5.7e-03 * 0 1.26 7.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.83 * ar4 * -1420 J1746+2540 J1746+2540 17:46:06.8 6.0e-02 +25:40:37.5 1.0e-01 * 0 * 0 * 0 51796.00 50.274 25.031 1.058148 1.0e-10 1.05e-15 2.0e-18 * 0 * 0 51796.00 51.20 3.3e-03 * 0 1.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * - -1421 J1746-27 J1746-27 17:46 5.0e+00 -27:51 7.0e+00 * 0 * 0 * 0 56657.00 0.971 0.494 0.487528 8.0e-11 * 0 * 0 * 0 56657.00 422.00 9.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * htru_pks * -1422 J1746-2849 J1746-2849 17:46:03.3 1.2e-04 -28:50:13.3 2.0e-03 * 0 * 0 * 0 57356.00 0.134 -0.030 1.478480 2.0e-09 1.27e-14 6.0e-16 * 0 * 0 54620.26 1456.00 3.0e+00 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.22 * misc * -1423 J1746-2850 J1746-2850 17:46:06.6 2.0e-01 -28:50:42 5.0e+00 * 0 * 0 * 0 54620.26 0.134 -0.044 1.077101 4.0e-10 1.34e-12 2.0e-17 * 0 * 0 54620.26 962.70 7.0e-01 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.61 * misc * -1424 J1746-2856 J1746-2856 17:46:49.8 6.0e-05 -28:56:58.9 1.0e-03 * 0 * 0 * 0 57417.00 0.126 -0.233 0.945224 3.0e-09 1.25e-14 3.0e-16 * 0 * 0 53704.51 1168.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.15 * misc * -1425 J1746-3239 J1746-3239 17:46:54.9 8.0e-03 -32:39:55.8 7.0e-01 * 0 * 0 * 0 55225.00 356.957 -2.175 0.199541 1.2e-12 6.56e-15 1.2e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1746.5-3238[naa+12] FermiBlind NRAD - -1426 J1747-1030 J1747-1030 17:47:58.3 6.0e-02 -10:30:05 4.0e+00 * 0 * 0 * 0 55509.00 16.174 8.983 1.578793 2.0e-10 4.30e-16 2.0e-17 * 0 * 0 55509.00 128.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.51 * htru_pks * -1427 J1747-2647 J1747-2647 17:47:30.8 1.6e-02 -26:47:14 5.0e+00 * 0 * 0 * 0 54311.00 2.054 0.758 0.500254 1.6e-11 1.32e-14 1.8e-18 * 0 * 0 54311.00 570.00 9.0e+00 * 0 * 0 1.54 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.19 * pksmb,htru_pks * -1428 J1747-2802 J1747-2802 17:47:26.5 1.8e-01 -28:02:37 3.3e+01 * 0 * 0 * 0 51312.00 0.971 0.121 2.780079 8.0e-10 2.37e-15 1.2e-16 * 0 * 0 51312.00 835.00 1.4e+01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pksmb,htru_pks * -1429 J1747-2809 J1747-2809 17:47:22.8 3.0e-02 -28:09:15.0 5.0e-01 * 0 * 0 * 0 54901.50 0.869 0.076 0.052153 2.0e-09 1.56e-13 3.0e-17 * 0 * 0 54901.50 1133.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.14 XRS:CXOU_J174722.8-280915,SNR:G0.9+0.1 misc * -1430 J1747-2958 J1747-2958 17:47:15.8 8.0e-03 -29:58:01.0 7.0e-01 12.900 1.8e+00 * 0 * 0 52613.00 359.305 -0.841 0.098814 2.0e-12 6.13e-14 1.0e-19 9.100e-23 2.0e-24 * 0 52613.00 101.50 1.6e+00 * 0 * 0 0.25 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 PWN:G359.23-0.82[gvc+04],GRS:1AGL_J1746- misc * - -1431 J1747-4036 J1747-4036 17:47:48.7 4.2e-05 -40:36:54.7 1.8e-03 * 0 * 0 * 0 56676.00 350.208 -6.412 0.001646 1.1e-16 1.31e-20 5.0e-24 * 0 * 0 56676.00 152.96 5.0e-04 * 0 * 0 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.15 GRS:3FGL_J1747.6-4037[aaa+15] FermiAssoc HE -1432 B1745-12 J1748-1300 17:48:17.4 1.7e-03 -13:00:52.0 1.4e-01 * 0 * 0 * 0 50021.00 14.016 7.656 0.394133 1.4e-12 1.21e-15 1.1e-20 -4.140e-26 1.7e-27 * 0 50021.00 99.36 6.0e-03 * 0 23.00 1.0e+00 2.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * mol2,gb2,pks70,pkssw * -1433 B1745-20A J1748-2021A 17:48:52.6 2.0e-03 -20:21:39.7 5.0e-01 * 0 * 0 * 0 54000.00 7.728 3.801 0.288603 1.6e-12 3.99e-16 1.0e-19 8.200e-26 3.4e-26 * 0 54000.00 219.40 2.0e-01 * 0 10.00 4.0e+00 0.37 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc,pksmb,htru_pks * -1434 J1748-2021B J1748-2021B 17:48:52.9 8.0e-05 -20:21:38.8 1.9e-01 * 0 * 0 * 0 54000.00 7.729 3.800 0.016760 5.0e-15 -3.29e-19 1.7e-22 * 0 * 0 54000.00 220.92 1.1e-02 * 0 * 0 * 0 BT 54005.4803 7.0e-06 20.5500 6.0e-07 4.4670 6.0e-06 314.32 1.3e-04 5.702e-01 1.5e-06 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1435 J1748-2021C J1748-2021C 17:48:51.1 1.5e-04 -20:21:53.8 4.0e-02 * 0 * 0 * 0 54000.00 7.721 3.804 0.006227 3.0e-15 -5.98e-20 1.6e-22 * 0 * 0 54000.00 226.95 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc * - -1436 J1748-2021D J1748-2021D 17:48:51.6 7.0e-05 -20:21:07.4 1.8e-02 * 0 * 0 * 0 54000.00 7.734 3.809 0.013496 3.0e-15 5.87e-19 1.7e-22 * 0 * 0 54000.00 224.98 3.0e-02 * 0 * 0 * 0 BT 54000.1054 3.0e-07 0.2861 4.0e-10 0.3972 3.0e-06 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1437 J1748-2021E J1748-2021E 17:48:52.8 1.4e-04 -20:21:29.3 3.0e-02 * 0 * 0 * 0 54000.00 7.731 3.802 0.016264 6.0e-15 3.12e-19 4.0e-22 * 0 * 0 54000.00 224.10 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1438 J1748-2021F J1748-2021F 17:48:52.3 3.0e-04 -20:21:39.3 9.0e-02 * 0 * 0 * 0 54000.00 7.727 3.802 0.003794 3.0e-15 -1.05e-20 1.9e-22 * 0 * 0 54000.00 220.43 8.0e-02 * 0 * 0 * 0 BT 54005.8062 6.0e-05 9.8340 8.0e-08 9.4976 1.1e-05 191.50 2.0e-03 5.311e-02 3.0e-06 * 0 * 0 * 0 8.24 GC:NGC6440 misc * -1439 J1748-2444 J1748-2444 17:48:48.5 2.0e-02 -24:44:37 1.1e+01 * 0 * 0 * 0 50477.00 3.955 1.564 0.442838 6.0e-12 1.11e-16 4.0e-20 -1.900e-27 5.4e-27 * 0 50477.00 207.33 9.0e-02 * 0 * 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * misc,pksmb,htru_pks * -1440 B1744-24A J1748-2446A 17:48:02.2 2.0e-03 -24:46:36.9 6.0e-01 * 0 * 0 * 0 48270.00 3.836 1.696 0.011563 3.0e-14 -3.40e-20 4.0e-22 * 0 * 0 48270.00 242.15 4.0e-02 * 0 * 0 0.61 7.0e-02 BT * 0 0.0756 2.0e-09 0.1197 3.0e-05 * 0 * 0 48270.0300 7.0e-06 * 0 * 0 5.50 GC:Ter5 misc,pksmb,htru_pks * - -1441 J1748-2446aa J1748-2446aa 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.005788 0 * 0 * 0 * 0 54100.00 237.42 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1442 J1748-2446ab J1748-2446ab 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.005120 0 * 0 * 0 * 0 54100.00 238.34 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1443 J1748-2446ac J1748-2446ac 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.005087 0 * 0 * 0 * 0 54100.00 238.72 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1444 J1748-2446ad J1748-2446ad 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53500.00 3.839 1.687 0.001396 6.0e-11 0.00e+00 6.0e-19 * 0 * 0 53500.00 235.60 1.0e-01 * 0 * 0 * 0 ELL1 * 0 1.0944 6.0e-08 1.1028 6.0e-05 * 0 * 0 53318.9957 1.2e-05 0.000e+00 1.0e-04 0.000e+00 1.0e-04 5.50 GC:Ter5 misc * -1445 J1748-2446ae J1748-2446ae 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.003659 0 * 0 * 0 * 0 54100.00 238.75 0 * 0 * 0 * 0 BT * 0 0.1707 0 0.0406 0 * 0 * 0 * 0 * 0 * 0 4.40 GC:Ter5 misc * - -1446 J1748-2446af J1748-2446af 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.003304 0 * 0 * 0 * 0 54100.00 237.34 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1447 J1748-2446ag J1748-2446ag 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.004448 0 * 0 * 0 * 0 54100.00 237.75 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1448 J1748-2446ah J1748-2446ah 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.004965 0 * 0 * 0 * 0 54100.00 237.75 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1449 J1748-2446ai J1748-2446ai 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.021228 0 * 0 * 0 * 0 54100.00 233.90 0 * 0 * 0 * 0 BT * 0 0.8509 0 2.8088 0 * 0 4.400e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1450 J1748-2446C J1748-2446C 17:48:04.5 1.0e-02 -24:46:36 4.0e+00 * 0 * 0 * 0 50958.00 3.841 1.689 0.008436 1.0e-13 -6.06e-19 4.0e-21 * 0 * 0 50958.00 237.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1451 J1748-2446D J1748-2446D 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.004714 0 * 0 * 0 * 0 53203.00 243.83 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.70 GC:Ter5 misc * -1452 J1748-2446E J1748-2446E 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002198 0 * 0 * 0 * 0 53203.00 236.84 0 * 0 * 0 * 0 BT * 0 60.0600 0 23.6000 0 * 0 2.000e-02 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1453 J1748-2446F J1748-2446F 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.005540 0 * 0 * 0 * 0 53203.00 239.18 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1454 J1748-2446G J1748-2446G 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.021672 0 * 0 * 0 * 0 53203.00 237.57 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1455 J1748-2446H J1748-2446H 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.004926 0 * 0 * 0 * 0 53203.00 238.13 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1456 J1748-2446I J1748-2446I 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.009570 0 * 0 * 0 * 0 53203.00 238.73 0 * 0 * 0 * 0 BT * 0 1.3280 0 1.8180 0 * 0 4.280e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1457 J1748-2446J J1748-2446J 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.080338 0 * 0 * 0 * 0 53203.00 234.35 0 * 0 * 0 * 0 BT * 0 1.1020 0 2.4540 0 * 0 3.500e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1458 J1748-2446K J1748-2446K 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002970 0 * 0 * 0 * 0 53203.00 234.81 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1459 J1748-2446L J1748-2446L 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002245 0 * 0 * 0 * 0 53203.00 237.74 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1460 J1748-2446M J1748-2446M 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.003570 0 * 0 * 0 * 0 53203.00 238.65 0 * 0 * 0 * 0 BT * 0 0.4431 0 0.5960 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1461 J1748-2446N J1748-2446N 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.008667 0 * 0 * 0 * 0 53203.00 238.47 0 * 0 * 0 * 0 BT * 0 0.3855 0 1.6190 0 * 0 4.500e-05 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1462 J1748-2446O J1748-2446O 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.001677 0 * 0 * 0 * 0 53203.00 236.38 0 * 0 * 0 * 0 BT * 0 0.2595 0 0.1120 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1463 J1748-2446P J1748-2446P 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.001729 0 * 0 * 0 * 0 53203.00 238.79 0 * 0 * 0 * 0 BT * 0 0.3626 0 1.2720 0 * 0 * 0 * 0 * 0 * 0 4.40 GC:Ter5 misc * -1464 J1748-2446Q J1748-2446Q 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002812 0 * 0 * 0 * 0 53203.00 234.50 0 * 0 * 0 * 0 BT * 0 30.2950 0 28.6020 0 * 0 7.220e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1465 J1748-2446R J1748-2446R 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.005029 0 * 0 * 0 * 0 53203.00 237.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1466 J1748-2446S J1748-2446S 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.006117 0 * 0 * 0 * 0 53203.00 236.26 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1467 J1748-2446T J1748-2446T 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.007085 0 * 0 * 0 * 0 53203.00 237.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1468 J1748-2446U J1748-2446U 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.003289 0 * 0 * 0 * 0 53203.00 235.50 0 * 0 * 0 * 0 BT * 0 3.5703 0 5.9725 0 * 0 6.050e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1469 J1748-2446V J1748-2446V 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002073 0 * 0 * 0 * 0 53203.00 239.11 0 * 0 * 0 * 0 BT * 0 0.5036 0 0.5670 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1470 J1748-2446W J1748-2446W 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.004205 0 * 0 * 0 * 0 53203.00 239.14 0 * 0 * 0 * 0 BT * 0 4.8770 0 5.8690 0 * 0 1.500e-02 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * - -1471 J1748-2446X J1748-2446X 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002999 0 * 0 * 0 * 0 53203.00 240.03 0 * 0 * 0 * 0 BT * 0 4.9985 0 5.1071 0 * 0 3.024e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1472 J1748-2446Y J1748-2446Y 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 53203.00 3.839 1.687 0.002048 0 * 0 * 0 * 0 53203.00 239.11 0 * 0 * 0 * 0 BT * 0 1.1700 0 1.1785 0 * 0 2.000e-05 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1473 J1748-2446Z J1748-2446Z 17:48:04.8 0 -24:46:45 0 * 0 * 0 * 0 54100.00 3.839 1.687 0.002463 0 * 0 * 0 * 0 54100.00 238.85 0 * 0 * 0 * 0 BT * 0 3.4881 0 3.5304 0 * 0 7.608e-01 0 * 0 * 0 * 0 5.50 GC:Ter5 misc * -1474 J1748-30 J1748-30 17:48 5.0e+00 -30:17 7.0e+00 * 0 * 0 * 0 56657.00 359.117 -1.141 0.382735 6.0e-07 * 0 * 0 * 0 56657.00 584.00 5.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.81 * htru_pks * -1475 J1748-3009 J1748-3009 17:48:23.7 2.0e-02 -30:09:12.2 5.0e-01 * 0 * 0 * 0 51495.10 359.272 -1.147 0.009684 2.0e-09 * 0 * 0 * 0 51495.10 420.20 0 * 0 * 0 1.40 0 BT 56069.1621 7.0e-06 2.9338 4.0e-07 1.3201 1.0e-05 * 0 * 0 * 0 * 0 * 0 5.07 * pksmb * - -1476 J1749+16 J1749+16 17:49:29 1.2e+02 +16:24 8.0e+00 * 0 * 0 * 0 57022.00 41.208 20.900 2.311650 0 * 0 * 0 * 0 57022.00 59.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.38 * ar327 * -1477 J1749-2347 J1749-2347 17:49:15.6 1.2e-01 -23:47:17 8.2e+01 * 0 * 0 * 0 52055.00 4.828 1.967 0.874486 4.0e-11 2.42e-15 1.0e-18 * 0 * 0 52055.00 344.00 4.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.66 * pksmb * -1478 J1749-2629 J1749-2629 17:49:11.2 5.0e-02 -26:29:10 1.9e+01 * 0 * 0 * 0 51495.00 2.505 0.593 1.335388 1.3e-10 1.72e-15 3.0e-17 * 0 * 0 51495.00 409.00 1.1e+01 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.19 * pksmb * -1479 B1746-30 J1749-3002 17:49:13.4 2.8e-02 -30:02:35 3.2e+00 * 0 * 0 * 0 50279.00 359.459 -1.244 0.609874 1.5e-11 7.87e-15 1.2e-19 -3.500e-26 8.0e-27 * 0 50279.00 509.40 3.0e-01 * 0 12.70 0 3.70 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.68 * pks1,pksmb,htru_pks * -1480 J1749-4931 J1749-4931 17:49:23.7 4.0e-02 -49:31:59 2.0e+00 * 0 * 0 * 0 55000.00 342.522 -11.095 0.445822 2.0e-09 5.90e-16 2.0e-17 * 0 * 0 55000.00 55.29 4.9e-01 * 0 * 0 0.15 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.98 * htru_pks * - -1481 B1745-56 J1749-5605 17:49:44.5 1.0e-01 -56:05:19 3.0e+00 * 0 * 0 * 0 43558.85 336.637 -14.262 1.332310 7.0e-10 2.12e-15 3.0e-17 * 0 * 0 43558.85 58.00 5.0e+00 * 0 3.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * mol2,htru_pks * -1482 J1750+07 J1750+07 17:50:40 1.2e+02 +07:33 8.0e+00 * 0 * 0 * 0 57022.00 32.841 16.925 1.908810 0 * 0 * 0 * 0 57022.00 55.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.75 * ar327 * -1483 J1750-2043 J1750-2043 17:50:18.4 5.0e-01 -20:43:08 7.5e+01 * 0 * 0 * 0 52923.00 7.591 3.331 5.639047 3.0e-09 7.95e-15 1.6e-15 * 0 * 0 52923.00 239.00 7.0e+00 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.84 * pksmb * -1484 J1750-2438 J1750-2438 17:50:59.7 9.0e-03 -24:38:58 7.0e+00 * 0 * 0 * 0 51491.00 4.291 1.185 0.712794 1.0e-11 1.08e-14 3.0e-18 * 0 * 0 51491.00 476.00 5.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.90 * pksmb,htru_pks * -1485 J1750-2444 J1750-2444 17:50:22.9 8.0e-02 -24:44:47 4.2e+01 * 0 * 0 * 0 51835.00 4.136 1.255 0.899377 5.0e-11 2.64e-16 3.0e-18 * 0 * 0 51835.00 331.00 4.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * pksmb,htru_pks * - -1486 J1750-2536 J1750-2536 17:50:33.3 2.0e-02 -25:36:43 3.0e+00 * 0 * 0 * 0 50593.80 3.413 0.778 0.034749 8.0e-09 * 0 * 0 * 0 50593.80 178.40 0 * 0 * 0 0.40 0 BT 56069.2700 3.0e-02 17.1416 4.0e-06 20.0610 5.0e-05 54.70 7.0e-01 3.920e-04 4.0e-06 * 0 * 0 * 0 3.22 * pksmb,htru_pks * -1487 J1750-28 J1750-28 17:50:04.0 2.0e-01 -28:45 7.0e+00 * 0 * 0 * 0 56783.00 0.663 -0.737 1.300513 7.0e-10 5.78e-15 1.9e-19 * 0 * 0 56783.00 388.00 1.2e+01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * htru_pks * -1488 B1747-31 J1750-3157 17:50:47.3 8.4e-03 -31:57:44.1 5.8e-01 * 0 * 0 * 0 50271.00 357.982 -2.516 0.910363 5.0e-12 1.97e-16 4.0e-20 -4.200e-28 9.6e-28 * 0 50271.00 206.34 4.0e-02 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pks1,pksmb,htru_pks * -1489 J1750-3503 J1750-3503 17:50:44.5 6.0e-03 -35:03:08.9 5.0e-01 * 0 * 0 * 0 48735.00 355.314 -4.082 0.684014 3.0e-11 3.81e-17 4.0e-19 * 0 * 0 48735.00 189.35 2.0e-02 * 0 29.00 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.86 * pks70,pksmb,htru_pks * -1490 J1750-3703A J1750-3703A 17:50:13.8 5.0e-04 -37:03:10.9 2.0e-02 * 0 * 0 * 0 54000.00 353.532 -5.009 0.111601 4.0e-13 5.66e-18 8.0e-21 * 0 * 0 54000.00 233.82 3.0e-02 * 0 * 0 * 0 BT 54003.1278 1.1e-05 17.3343 7.0e-07 24.3931 8.0e-05 131.35 2.0e-04 7.124e-01 2.0e-06 * 0 * 0 * 0 13.80 GC:NGC6441 misc * - -1491 J1750-3703B J1750-3703B 17:50:12.1 4.0e-04 -37:03:22.9 2.0e-02 * 0 * 0 * 0 54000.00 353.526 -5.006 0.006075 6.0e-15 1.92e-20 5.0e-22 * 0 * 0 54000.00 234.39 9.0e-03 * 0 * 0 * 0 BT 54002.7705 1.1e-03 3.6051 5.0e-08 2.8659 1.3e-05 323.07 1.1e-01 4.046e-03 9.0e-06 * 0 * 0 * 0 13.80 GC:NGC6441 misc * -1492 J1750-3703C J1750-3703C 17:50:13.4 7.0e-04 -37:03:05.5 3.0e-02 * 0 * 0 * 0 54000.00 353.533 -5.007 0.026569 5.0e-14 -9.96e-19 3.0e-21 * 0 * 0 54000.00 230.67 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.80 GC:NGC6441 misc * -1493 J1750-3703D J1750-3703D 17:50:13.0 4.0e-04 -37:03:06.3 1.7e-02 * 0 * 0 * 0 54000.00 353.532 -5.006 0.005140 4.0e-15 4.93e-19 3.0e-22 * 0 * 0 54000.00 230.09 1.7e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.80 GC:NGC6441 misc * -1494 J1751-2516 J1751-2516 17:51:52.6 6.0e-02 -25:16:43 2.6e+01 * 0 * 0 * 0 51383.00 3.852 0.692 0.394836 1.0e-10 2.64e-15 3.0e-18 -3.700e-24 4.1e-24 * 0 51383.00 556.00 3.0e+00 * 0 * 0 0.22 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.17 * pksmb * -1495 J1751-2857 J1751-2857 17:51:32.6 1.7e-05 -28:57:46.5 3.0e-03 -7.400 1.0e-01 -4.300 1.2e+00 * 0 55000.00 0.646 -1.124 0.003915 3.0e-15 1.12e-20 3.0e-23 * 0 * 0 55000.00 42.84 3.0e-02 * 0 * 0 0.06 2.0e-02 DD 52491.5740 4.0e-03 110.7465 4.0e-08 32.5282 2.0e-06 45.51 1.1e-02 1.279e-04 3.0e-08 * 0 * 0 * 0 1.09 * pksmb,htru_pks * - -1496 J1751-3323 J1751-3323 17:51:32.7 1.1e-02 -33:23:39.6 9.0e-01 * 0 * 0 * 0 53750.00 356.829 -3.382 0.548227 7.0e-11 8.83e-15 7.0e-18 * 0 * 0 54500.00 296.70 6.0e-01 * 0 * 0 1.30 1.4e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.27 * pksmb,htru_pks * -1497 B1747-46 J1751-4657 17:51:42.2 1.1e-02 -46:57:24.8 2.0e-01 * 0 * 0 * 0 46943.00 345.002 -10.178 0.742352 1.0e-11 1.29e-15 6.0e-19 * 0 * 0 46800.00 20.40 4.0e-01 * 0 70.00 0 10.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.74 * misc,mol2,pks70,pkssw,htru_pks * -1498 J1752+2359 J1752+2359 17:52:35.4 2.0e-02 +23:59:48.2 2.0e-01 * 0 * 0 * 0 51952.00 49.098 23.074 0.409051 9.0e-12 6.43e-16 9.0e-19 * 0 * 0 51952.00 36.20 6.0e-04 * 0 3.50 3.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.03 * ar4 * -1499 J1752-2410 J1752-2410 17:52:58.7 1.5e-02 -24:10:26 1.5e+01 * 0 * 0 * 0 51865.00 4.930 1.039 0.191037 1.9e-12 6.18e-16 8.0e-20 * 0 * 0 51865.00 508.30 9.0e-01 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.41 * pksmb,htru_pks * -1500 B1749-28 J1752-2806 17:52:58.6 1.7e-03 -28:06:37.3 3.0e-01 -4.000 6.0e+00 -5.000 5.0e+00 * 0 46483.00 1.540 -0.961 0.562558 3.0e-11 8.13e-15 1.0e-19 1.300e-26 3.0e-27 * 0 46483.00 50.37 8.0e-03 * 0 1100.00 1.0e+02 18.00 1.8e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * mol1,jb1,mol2,jb2,pks1,pks70,pksmb, * - -1501 J1752-2821 J1752-2821 17:52:24.5 3.0e-02 -28:21:10 9.0e+00 * 0 * 0 * 0 50974.00 1.267 -0.976 0.640229 4.0e-11 3.47e-15 1.7e-17 * 0 * 0 50974.00 516.30 1.3e+00 * 0 * 0 0.32 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.48 * pksmb,htru_pks * -1502 J1753-12 J1753-12 17:52:53 5.8e+01 -12:59 1.5e+01 * 0 * 0 * 0 54831.00 14.608 6.703 0.405454 1.0e-06 * 0 * 0 * 0 54831.00 73.20 5.2e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.12 * pkssw RRAT -1503 J1753-1914 J1753-1914 17:53:35.1 1.2e-02 -19:14:58 3.0e+00 * 0 * 0 * 0 53150.00 9.251 3.412 0.062955 1.2e-12 2.02e-18 1.2e-19 * 0 * 0 53150.00 105.30 3.0e-01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.91 * pksmb * -1504 J1753-2240 J1753-2240 17:53:39.8 5.0e-03 -22:40:42 1.0e+00 * 0 * 0 * 0 54275.02 6.299 1.663 0.095138 7.0e-13 9.70e-19 1.2e-19 * 0 * 0 54275.02 158.60 4.0e-01 * 0 * 0 0.15 3.0e-02 BT 54099.1303 8.0e-05 13.6376 7.0e-07 18.1154 1.0e-04 -49.32 2.0e-03 3.036e-01 1.0e-05 * 0 * 0 * 0 3.23 * pksmb,htru_pks * -1505 B1750-24 J1753-2501 17:53:30.6 2.9e-02 -25:00:25 1.4e+01 * 0 * 0 * 0 49613.00 4.274 0.512 0.528336 3.0e-11 1.41e-14 1.7e-19 -6.200e-26 1.1e-26 * 0 49613.00 672.00 3.0e+00 * 0 * 0 2.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * jb2,pksmb,htru_pks * - -1506 J1753-38 J1753-38 17:53 1.0e+00 -38:49 7.0e+00 * 0 * 0 * 0 55305.00 352.277 -6.368 0.666804 0 * 0 * 0 * 0 55305.00 168.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.87 * pkssw,htru_pks RRAT -1507 J1754-2422 J1754-2422 17:54:36.5 6.0e-02 -24:22:24 4.9e+01 * 0 * 0 * 0 55310.00 4.947 0.618 2.090248 4.0e-10 8.30e-16 2.0e-17 * 0 * 0 55310.00 738.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.16 * htru_pks * -1508 J1754-3014 J1754-3014 17:54:30.1 4.0e-02 -30:15:03 5.0e+00 * 0 * 0 * 0 55292.00 359.862 -2.332 1.320490 3.0e-10 4.43e-15 1.9e-17 * 0 * 0 55292.00 89.70 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.52 * pksmb RRAT -1509 J1754-3443 J1754-3443 17:54:37.3 1.4e-02 -34:43:53.9 1.0e+00 * 0 * 0 * 0 52260.00 355.994 -4.607 0.361691 1.0e-11 5.71e-16 7.0e-19 * 0 * 0 52260.00 187.70 9.0e-01 * 0 * 0 0.49 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.11 * pksmb,htru_pks * -1510 J1754-3510 J1754-3510 17:54:54.6 7.0e-03 -35:10:43.0 5.0e-01 * 0 * 0 * 0 53097.00 355.635 -4.882 0.392704 3.0e-12 7.82e-16 5.0e-19 * 0 * 0 53097.00 82.30 3.0e-01 * 0 * 0 0.47 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.57 * pksmb,htru_pks * - -1511 B1753+52 J1754+5201 17:54:22.9 4.9e-02 +52:01:12.3 4.7e-01 * 0 * 0 * 0 49666.00 79.608 29.628 2.391397 3.0e-11 1.56e-15 3.0e-19 -5.200e-28 8.4e-28 * 0 49666.00 35.01 6.4e-03 * 0 4.90 8.0e-01 1.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * gb2 * -1512 J1755-0903 J1755-0903 17:55:10.3 5.0e-03 -09:03:51.6 2.0e-01 * 0 * 0 * 0 55536.00 18.324 8.150 0.190710 4.0e-12 7.81e-16 3.0e-19 * 0 * 0 55536.00 63.70 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.23 * htru_pks * -1513 J1755-1650 J1755-1650 17:55:11.6 1.8e-02 -16:50:41 3.0e+00 * 0 * 0 * 0 53165.00 11.527 4.291 0.733744 3.0e-11 6.86e-16 3.0e-18 * 0 * 0 53165.00 159.90 1.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * pksmb,htru_pks * -1514 J1755-2025 J1755-2025 17:55:35.8 6.0e-03 -20:25:00 0 * 0 * 0 * 0 54268.10 8.480 2.416 0.322231 5.0e-12 4.42e-15 6.0e-19 * 0 * 0 54268.10 364.30 5.0e-01 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.99 * pksmb * -1515 J1755-25 J1755-25 17:55:36 3.0e+01 -25:53 7.0e+00 * 0 * 0 * 0 56922.00 3.756 -0.338 0.315196 5.0e-11 * 0 * 0 * 0 56922.00 751.00 3.0e+00 * 0 * 0 0.14 0 DD 56904.1259 6.0e-04 9.6963 2.0e-05 12.2838 2.0e-04 129.65 2.0e-02 8.932e-02 3.0e-05 * 0 * 0 * 0 4.91 * htru_pks * - -1516 J1755-2521 J1755-2521 17:55:59.7 9.0e-02 -25:21:27 4.8e+01 * 0 * 0 * 0 51586.00 4.255 -0.150 1.175968 5.0e-10 9.02e-14 1.7e-17 3.200e-23 3.0e-24 * 0 51586.00 252.00 4.0e+00 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * pksmb,htru_pks * -1517 J1755-25211 J1755-25211 17:55:19.3 5.0e-02 -25:21:09 1.8e+01 * 0 * 0 * 0 51908.00 4.183 -0.016 1.004513 7.0e-11 3.12e-14 1.3e-18 * 0 * 0 51908.00 835.00 5.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * pksmb * -1518 J1755-2534 J1755-2534 17:55:49.8 3.0e-02 -25:34:39 1.1e+01 * 0 * 0 * 0 52188.00 4.047 -0.229 0.233541 9.0e-12 1.12e-14 9.0e-19 * 0 * 0 52188.00 590.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * pksmb * -1519 J1755-26 J1755-26 17:55:16.2 4.0e-02 -26:00 1.0e+00 * 0 * 0 * 0 56827.00 3.618 -0.333 0.430872 1.4e-10 1.23e-14 5.0e-21 * 0 * 0 56827.00 405.00 4.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * htru_pks * -1520 J1755-2725 J1755-2725 17:55:41.8 9.0e-02 -27:25:45 2.4e+01 * 0 * 0 * 0 51492.00 2.432 -1.135 0.261955 5.0e-11 1.37e-17 9.0e-18 * 0 * 0 51492.00 115.00 5.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * pksmb,htru_pks * - -1521 J1755-33 J1755-33 17:55:12 3.0e+01 -33:31 7.0e+00 * 0 * 0 * 0 52080.60 357.109 -4.102 0.959466 4.0e-06 * 0 * 0 * 0 52080.60 266.50 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.08 * pksmb * -1522 J1755-3716 J1755-3716 17:55:35.4 4.0e-04 -37:16:10.7 4.0e-02 * 0 * 0 * 0 55958.80 353.882 -6.041 0.012786 1.0e-13 3.11e-20 4.0e-21 * 0 * 0 55958.80 167.60 1.9e-02 * 0 * 0 0.53 0 ELL1 * 0 11.5156 3.0e-07 10.6451 1.2e-05 329.74 0.0e+00 1.389e-05 0.0e+00 55958.7903 9.0e-06 -7.000e-06 2.0e-07 1.200e-05 3.0e-07 8.18 * htru_pks * -1523 J1756+1822 J1756+1822 17:56:17.5 8.0e-03 +18:22:55.3 2.0e-01 * 0 * 0 * 0 53400.00 43.836 20.185 0.744001 7.0e-11 5.13e-16 1.7e-18 * 0 * 0 53400.00 70.80 0 * 0 0.70 0 0.01 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc * -1524 J1756-2225 J1756-2225 17:56:25.5 8.0e-02 -22:25:48 6.6e+01 * 0 * 0 * 0 52360.00 6.835 1.237 0.404980 9.0e-11 5.27e-14 5.0e-18 * 0 * 0 52360.00 329.00 1.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb,htru_pks * -1525 J1756-2251 J1756-2251 17:56:46.6 1.5e-05 -22:51:59.3 2.0e-02 -2.420 8.0e-02 0.000 2.0e+01 1.050 5.5e-01 53563.00 6.499 0.948 0.028462 5.0e-16 1.02e-18 3.0e-24 * 0 * 0 53563.00 121.20 5.0e-03 * 0 * 0 0.60 1.0e-01 DD 53562.7809 2.0e-07 0.3196 3.0e-11 2.7565 9.0e-06 327.82 3.0e-04 1.806e-01 2.0e-07 * 0 * 0 * 0 0.73 * pksmb,htru_pks * - -1526 B1753-24 J1756-2435 17:56:57.9 4.9e-03 -24:35:34 3.6e+00 * 0 * 0 * 0 49613.00 5.027 0.044 0.670480 1.4e-12 2.85e-16 9.0e-21 -1.500e-28 4.0e-28 * 0 49613.00 367.10 4.0e-01 * 0 8.40 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.83 * jb2,pks1,pksmb,htru_pks * -1527 J1756-25 J1756-25 17:56:42 3.0e+01 -25:28 7.0e+00 * 0 * 0 * 0 56657.00 4.241 -0.342 0.855986 2.0e-06 * 0 * 0 * 0 56657.00 706.00 8.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * htru_pks * -1528 J1756-2619 J1756-2619 17:57:19.3 2.0e-02 -26:19:08 9.0e+00 * 0 * 0 * 0 54223.20 3.574 -0.891 0.724514 1.1e-10 1.24e-15 6.0e-18 * 0 * 0 54223.20 534.00 2.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.11 * pksmb * -1529 J1757-15 J1757-15 17:57:24 0 -15:03:18 0 * 0 * 0 * 0 55561.00 13.349 4.723 0.179400 0 * 0 * 0 * 0 55561.00 150.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * htru_pks * -1530 J1757-16 J1757-16 17:57:25 3.0e+01 -16:26 7.0e+00 * 0 * 0 * 0 * 12.151 4.034 0.451273 1.0e-06 * 0 * 0 * 0 * 132.20 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 * pksmb * - -1531 J1757-1854 J1757-1854 17:57:03.7 6.0e-05 -18:54:03.3 7.0e-03 * 0 * 0 * 0 57701.00 9.966 2.877 0.021497 7.0e-15 2.63e-18 7.0e-22 * 0 * 0 57701.00 378.20 2.0e-03 * 0 * 0 0.25 4.0e-02 DDH 57700.9260 5.0e-08 0.1835 5.0e-11 2.2378 5.0e-06 279.34 4.0e-04 6.058e-01 1.0e-06 * 0 * 0 * 0 19.58 * htru_pks * -1532 J1757-2223 J1757-2223 17:57:50.7 4.0e-03 -22:23:49 4.0e+00 * 0 * 0 * 0 51495.00 7.029 0.970 0.185310 1.1e-12 7.82e-16 3.0e-19 * 0 * 0 51495.00 239.30 4.0e-01 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.73 * pksmb,htru_pks * -1533 B1754-24 J1757-2421 17:57:29.3 1.4e-03 -24:22:07.4 1.4e+00 * 0 * 0 * 0 53623.00 5.281 0.054 0.234106 5.0e-11 1.30e-14 1.7e-18 3.400e-23 4.0e-24 * 0 53623.00 179.45 1.1e-02 * 0 20.00 4.0e+00 3.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.12 * misc,mol1,jb2,pks1,pksmb,htru_pks * -1534 J1757-27 J1757-27 17:57:54.7 2.0e-03 -27:45 7.0e+00 * 0 * 0 * 0 56778.00 2.400 -1.721 0.017687 1.1e-13 2.10e-19 2.0e-20 * 0 * 0 56778.00 334.00 0 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.12 * htru_pks * -1535 J1757-5322 J1757-5322 17:57:15.1 3.0e-04 -53:22:26.3 5.0e-03 * 0 * 0 * 0 51570.00 339.637 -13.980 0.008870 4.0e-15 2.63e-20 4.0e-22 * 0 * 0 51570.00 30.82 7.0e-03 * 0 * 0 * 0 ELL1 * 0 0.4533 5.0e-10 2.0865 5.0e-06 108.89 0.0e+00 4.016e-06 0.0e+00 51394.1081 3.0e-07 3.800e-06 4.4e-06 -1.300e-06 4.2e-06 0.94 * pkssw,htru_pks * - -1536 J1758-1931 J1758-1931 17:58:05.6 7.0e-02 -19:31:41 1.1e+01 * 0 * 0 * 0 52353.00 9.544 2.353 0.692552 7.0e-11 1.69e-14 3.0e-17 * 0 * 0 52353.00 207.00 5.0e+00 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.54 * pksmb,htru_pks * -1537 J1758-2206 J1758-2206 17:58:44.4 3.0e-02 -22:06:45 1.9e+01 * 0 * 0 * 0 51495.00 7.378 0.933 0.430278 1.5e-11 9.56e-16 4.0e-18 * 0 * 0 51495.00 678.00 4.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.98 * pksmb,htru_pks * -1538 J1758-2540 J1758-2540 17:58:31.9 9.0e-02 -25:40:49 4.6e+01 * 0 * 0 * 0 50975.00 4.263 -0.807 2.107263 4.0e-10 1.55e-15 1.4e-16 * 0 * 0 50975.00 218.20 1.3e+00 * 0 * 0 0.65 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pksmb,htru_pks * -1539 J1758-2630 J1758-2630 17:58:34.2 1.4e-01 -26:30:10 2.1e+01 * 0 * 0 * 0 51244.00 3.555 -1.225 1.202893 1.8e-10 5.17e-15 8.0e-17 * 0 * 0 51244.00 328.00 3.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * pksmb,htru_pks * -1540 J1758-2846 J1758-2846 17:58:15.4 3.0e-02 -28:46:02 5.0e+00 * 0 * 0 * 0 53253.00 1.556 -2.294 0.766706 3.0e-11 9.41e-17 1.8e-17 * 0 * 0 53253.00 66.60 3.0e-01 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.01 * pksmb,htru_pks * - -1541 J1758+3030 J1758+3030 17:58:25.8 2.0e-02 +30:30:24.0 6.0e-01 * 0 * 0 * 0 49800.00 56.265 24.032 0.947256 8.0e-11 7.20e-16 1.0e-17 * 0 * 0 49800.00 35.07 1.4e-03 * 0 8.90 1.5e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.28 * ar4,gb4 * -1542 J1759-1029 J1759-1029 17:59:34.3 4.0e-02 -10:29:57 3.0e+00 * 0 * 0 * 0 55348.00 17.596 6.504 2.512263 5.0e-10 1.57e-14 2.0e-17 * 0 * 0 55348.00 110.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.24 * htru_pks * -1543 J1759-1736 J1759-1736 17:59:28.1 7.0e-02 -17:36:10 7.0e+00 * 0 * 0 * 0 53156.00 11.378 3.028 0.798452 8.0e-11 2.55e-16 2.0e-17 * 0 * 0 53156.00 206.00 3.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * pksmb * -1544 J1759-1903 J1759-1903 17:59:41.7 1.6e-01 -19:03:19 2.7e+01 * 0 * 0 * 0 52003.00 10.142 2.260 0.731505 1.7e-10 3.07e-15 7.0e-17 * 0 * 0 52003.00 467.00 4.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.81 * pksmb * -1545 J1759-1940 J1759-1940 17:59:57.0 1.5e-02 -19:40:29 5.0e+00 * 0 * 0 * 0 51491.00 9.634 1.901 0.254720 7.0e-12 9.34e-17 2.0e-18 * 0 * 0 51491.00 302.70 1.0e+00 * 0 * 0 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.98 * pksmb,htru_pks * - -1546 J1759-1956 J1759-1956 17:59:35.4 4.0e-02 -19:56:08 1.5e+01 * 0 * 0 * 0 51495.00 9.366 1.845 2.843389 3.0e-10 1.86e-14 5.0e-17 * 0 * 0 51495.00 236.40 1.9e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * pksmb,htru_pks * -1547 B1756-22 J1759-2205 17:59:24.1 1.3e-03 -22:05:33.0 1.1e+00 * 0 * 0 * 0 49721.00 7.472 0.810 0.460974 9.0e-12 1.09e-14 9.0e-20 -2.570e-25 7.0e-27 * 0 49721.00 177.16 5.0e-03 * 0 20.00 2.0e+00 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.26 * mol2,jb2,pks1,pks70,pksmb,htru_pks * -1548 J1759-2302 J1759-2302 17:59:49.2 9.0e-02 -23:02:08 2.0e+02 * 0 * 0 * 0 51115.00 6.702 0.257 0.810718 1.2e-10 1.07e-14 1.2e-17 * 0 * 0 51115.00 889.00 1.0e+00 * 0 * 0 1.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb,htru_pks * -1549 J1759-2307 J1759-2307 17:59:30.9 2.0e-02 -23:07:17 4.6e+01 * 0 * 0 * 0 51110.00 6.593 0.275 0.558889 3.0e-11 3.76e-15 3.0e-18 * 0 * 0 51110.00 812.60 1.5e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.33 * pksmb,htru_pks * -1550 J1759-24 J1759-24 17:59:24 3.0e+01 -24:02 7.0e+00 * 0 * 0 * 0 56657.00 5.789 -0.156 1.457739 1.1e-05 * 0 * 0 * 0 56657.00 772.00 1.4e+01 * 0 * 0 0.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * htru_pks * - -1551 J1759-2549 J1759-2549 17:59:35.1 9.0e-02 -25:49:07 3.4e+01 * 0 * 0 * 0 51380.00 4.261 -1.082 0.956549 1.1e-10 9.96e-14 1.3e-17 * 0 * 0 51380.00 431.00 5.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb,htru_pks * -1552 J1759-2922 J1759-2922 17:59:48.2 1.4e-02 -29:22:07 2.5e+00 * 0 * 0 * 0 50856.00 1.202 -2.887 0.574400 3.0e-12 4.63e-15 3.0e-20 8.700e-27 3.1e-27 * 0 50856.00 79.42 6.0e-02 * 0 13.00 0 0.56 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.42 * pks70,pksmb,htru_pks * -1553 J1759-3107 J1759-3107 17:59:22.0 1.4e-02 -31:07:21.5 2.0e+00 * 0 * 0 * 0 52608.00 359.629 -3.673 1.078953 4.0e-11 3.77e-15 9.0e-18 * 0 * 0 52608.00 128.60 1.1e+00 * 0 * 0 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 * pksmb,htru_pks * -1554 J1800-0125 J1800-0125 18:00:22.0 3.0e-02 -01:25:30.6 7.0e-01 * 0 * 0 * 0 52820.00 25.749 10.678 0.783185 3.0e-11 1.15e-14 5.0e-18 * 0 * 0 52820.00 50.00 2.0e-01 * 0 * 0 0.14 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 * misc,htru_pks * -1555 J1800-2114 J1800-2114 18:00:12.3 4.0e-01 -21:14:19 7.5e+01 * 0 * 0 * 0 52360.00 8.306 1.073 1.799272 7.0e-10 5.50e-16 2.6e-16 * 0 * 0 52360.00 641.00 1.8e+01 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.09 * pksmb * - -1556 B1757-23 J1800-2343 18:00 4.0e+00 -23:43 1.5e+01 * 0 * 0 * 0 44969.00 6.132 -0.118 1.030820 2.0e-05 * 0 * 0 * 0 44969.00 280.00 4.0e+01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * misc * -1557 J1800+50 J1800+50 18:01 2.0e+00 +50:28 1.8e+01 * 0 * 0 * 0 56292.00 78.018 28.382 0.578364 1.5e-05 * 0 * 0 * 0 56292.00 23.00 2.0e+00 * 0 23.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.97 * gbncc * -1558 B1758-03 J1801-0357 18:01:22.6 4.5e-03 -03:57:55.0 2.5e-01 * 0 * 0 * 0 49930.00 23.596 9.257 0.921491 4.0e-11 3.31e-15 3.0e-19 -3.200e-26 7.0e-27 * 0 49930.00 120.37 3.0e-02 * 0 17.00 9.0e-01 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.75 * gb3,pks70,pkssw,htru_pks * -1559 J1801-0857A J1801-0857A 18:01:50.6 2.0e-04 -08:57:31.8 1.0e-02 * 0 * 0 * 0 54400.00 19.225 6.762 0.007176 8.0e-16 -5.13e-19 4.0e-23 * 0 * 0 54400.00 182.56 1.0e-02 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 GC:NGC6517 misc * -1560 J1801-0857B J1801-0857B 18:01:50.5 5.0e-04 -08:57:32.8 3.0e-02 * 0 * 0 * 0 54400.00 19.225 6.762 0.028962 3.0e-14 2.19e-18 5.0e-22 * 0 * 0 54400.00 182.39 6.0e-02 * 0 * 0 0.01 0 BT 54757.7226 2.0e-04 59.8365 6.0e-07 33.8755 2.0e-05 0.01 2.0e-08 3.823e-02 7.0e-07 * 0 * 0 * 0 7.20 GC:NGC6517 misc * - -1561 J1801-0857C J1801-0857C 18:01:50.7 7.0e-04 -08:57:32.7 3.0e-02 * 0 * 0 * 0 54400.00 19.225 6.762 0.003739 2.0e-14 -6.50e-20 2.0e-21 * 0 * 0 54400.00 182.26 3.0e-02 * 0 * 0 0.01 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 GC:NGC6517 misc * -1562 J1801-0857D J1801-0857D 18:01:55.3 5.0e-04 -08:57:24.3 3.0e-02 * 0 * 0 * 0 54400.00 19.237 6.746 0.004227 3.0e-15 6.90e-21 6.0e-22 * 0 * 0 54400.00 174.71 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 GC:NGC6517 misc * -1563 J1801-1417 J1801-1417 18:01:51.0 1.9e-05 -14:17:34.5 2.0e-03 -10.890 1.2e-01 -3.000 1.0e+00 * 0 55000.00 14.546 4.162 0.003625 1.7e-15 5.30e-21 3.0e-23 * 0 * 0 55000.00 57.26 4.0e-02 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.10 * pksmb * -1564 J1801-1855 J1801-1855 18:01:22.3 3.0e-01 -18:55:49 4.9e+01 * 0 * 0 * 0 51495.00 10.447 1.978 2.550498 1.0e-09 1.82e-16 2.2e-16 * 0 * 0 51495.00 484.00 1.4e+01 * 0 * 0 0.47 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 20.10 * pksmb,htru_pks * -1565 J1801-1909 J1801-1909 18:01:46.6 3.0e-02 -19:09:36 6.0e+00 * 0 * 0 * 0 51491.00 10.295 1.781 1.108725 5.0e-11 7.03e-16 9.0e-18 * 0 * 0 51491.00 264.00 9.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.90 * pksmb,htru_pks * - -1566 J1801-2115 J1801-2115 18:01:32.4 1.2e-01 -21:15:18 5.3e+01 * 0 * 0 * 0 51887.00 8.446 0.794 0.438113 4.0e-10 1.55e-17 6.0e-18 * 0 * 0 51887.00 778.80 1.0e-01 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.79 * pksmb * -1567 J1801-2154 J1801-2154 18:01:08.3 3.0e-02 -21:54:32 1.2e+01 * 0 * 0 * 0 51895.00 7.831 0.552 0.375297 1.0e-11 1.60e-14 5.0e-19 * 0 * 0 51895.00 386.00 1.0e+00 * 0 * 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * pksmb,htru_pks * -1568 B1758-23 J1801-2304 18:01:19.8 6.0e-04 -23:04:44.6 1.0e-02 * 0 * 0 * 0 57259.00 6.837 -0.066 0.415827 1.8e-12 1.13e-13 1.1e-19 1.120e-24 4.0e-26 * 0 54000.00 1073.90 6.0e-01 * 0 * 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 SNR:W28(?)[fkv93] jb2,pks1,pksmb,htru_pks * -1569 B1757-24 J1801-2451 18:01:00.0 8.0e-03 -24:51:27.5 2.0e-01 -11.000 9.0e+00 -1.000 1.5e+01 * 0 53348.00 5.254 -0.882 0.124924 8.0e-12 1.28e-13 5.0e-19 4.010e-22 1.0e-23 * 0 52503.00 291.55 5.0e-02 * 0 7.80 0 0.85 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.80 SNR:G5.4-1.2[fk91],XRS:PWN[kggl01] misc,pksmb,htru_pks * -1570 B1758-29 J1801-2920 18:01:46.8 3.0e-03 -29:20:38.6 4.7e-01 * 0 * 0 * 0 50549.00 1.436 -3.249 1.081908 6.0e-12 3.29e-15 9.0e-20 -1.860e-26 1.6e-27 * 0 50549.00 125.61 1.4e-02 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * pks1,pksmb,htru_pks * - -1571 J1801-3210 J1801-3210 18:01:25.8 2.0e-04 -32:10:53.7 1.7e-02 -8.000 2.0e+00 -11.000 1.0e+01 * 0 55001.90 358.922 -4.577 0.007454 3.0e-15 -4.44e-23 3.9e-23 * 0 * 0 55001.90 177.71 4.0e-03 * 0 * 0 0.32 0 ELL1 * 0 20.7717 8.0e-08 7.8093 4.0e-06 59.53 0.0e+00 1.972e-06 0.0e+00 55001.9345 2.0e-06 1.700e-06 1.1e-06 1.000e-06 1.0e-06 6.12 * htru_pks * -1572 J1801-3458 J1801-3458 18:01:52.6 1.1e-01 -34:58:37 7.0e+00 * 0 * 0 * 0 53112.00 356.517 -6.023 1.385604 3.0e-10 3.97e-16 4.0e-17 * 0 * 0 53112.00 146.00 6.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.91 * pksmb * -1573 J1802+0128 J1802+0128 18:02:27.4 2.0e-02 +01:28:23.7 4.0e-01 * 0 * 0 * 0 51650.00 28.612 11.562 0.554262 1.0e-11 2.11e-15 3.0e-18 * 0 * 0 51650.00 97.97 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.68 * pkssw * -1574 J1802+03 J1802+03 18:02:44 3.0e+01 +03:38 8.0e+00 * 0 * 0 * 0 56362.00 30.608 12.488 0.664300 0 * 0 * 0 * 0 56362.00 77.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.10 * ar327 * -1575 J1802-05 J1802-05 18:02:12 0 -05:23:53 0 * 0 * 0 * 0 55561.00 22.419 8.395 1.681000 0 * 0 * 0 * 0 55561.00 130.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * htru_pks * - -1576 J1802-1745 J1802-1745 18:02:14.8 3.0e-02 -17:45:17 7.0e+00 * 0 * 0 * 0 51719.00 11.573 2.377 0.514671 3.0e-11 5.64e-16 1.1e-17 * 0 * 0 51719.00 264.20 3.0e-01 * 0 * 0 0.21 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.61 * pksmb,htru_pks * -1577 J1802-2124 J1802-2124 18:02:05.3 9.0e-06 -21:24:03.6 3.0e-03 -0.850 1.0e-01 4.800 0 1.240 5.7e-01 53453.00 8.382 0.611 0.012648 4.0e-16 7.26e-20 3.0e-23 -1.040e-25 7.0e-27 * 0 53453.00 149.63 6.0e-04 -0.000 3.0e-06 * 0 0.77 9.0e-02 ELL1 * 0 0.6989 5.0e-12 3.7189 5.0e-07 20.34 0.0e+00 2.474e-06 0.0e+00 53452.6333 4.0e-09 8.600e-07 9.0e-08 2.320e-06 4.0e-08 0.76 * pksmb,htru_pks * -1578 J1802-2426 J1802-2426 18:02:03.1 4.0e-02 -24:26:43 3.0e+01 * 0 * 0 * 0 51495.00 5.731 -0.886 0.569007 3.0e-11 8.56e-15 7.0e-18 * 0 * 0 51495.00 711.00 6.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.96 * pksmb,htru_pks * -1579 J1802-3346 J1802-3346 18:02:55.2 1.0e-01 -33:46:45 5.0e+00 * 0 * 0 * 0 54894.00 357.675 -5.629 2.461052 3.0e-09 1.32e-15 9.0e-17 * 0 * 0 54894.00 217.00 5.0e+00 * 0 * 0 0.20 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.68 * htru_pks * -1580 J1803-1616 J1803-1616 18:03:34.6 3.0e-02 -16:16:30 4.0e+00 * 0 * 0 * 0 51991.00 13.020 2.827 0.536596 1.8e-11 1.77e-15 1.2e-18 * 0 * 0 51991.00 388.10 2.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.06 * pksmb,htru_pks * - -1581 J1803-1857 J1803-1857 18:03:59.0 3.0e-02 -18:57:19 8.0e+00 * 0 * 0 * 0 51491.00 10.730 1.428 2.864338 1.3e-10 1.52e-14 4.0e-17 * 0 * 0 51491.00 392.00 1.1e+00 * 0 * 0 0.40 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.81 * pksmb,htru_pks * -1582 J1803-1920 J1803-1920 18:03:29.4 3.0e-02 -19:20:41 7.0e+00 * 0 * 0 * 0 51843.00 10.334 1.338 0.443649 1.6e-11 3.30e-16 8.0e-19 * 0 * 0 51843.00 436.10 1.7e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.55 * pksmb,htru_pks * -1583 B1800-21 J1803-2137 18:03:51.4 1.0e-03 -21:37:07.3 1.0e-02 11.600 1.8e+00 14.800 2.3e+00 * 0 51544.00 8.395 0.146 0.133667 1.7e-13 1.34e-13 1.7e-20 2.079e-22 4.0e-26 * 0 53900.00 233.99 5.0e-02 * 0 23.00 5.0e+00 13.90 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 SNR:G8.7-0.1(?)[kw90],GRS:J1804-216(?)[a jb2,pks1,pksmb,htru_pks HE -1584 J1803-2149 J1803-2149 18:03:09.6 9.0e-03 -21:49:13 4.0e+00 * 0 * 0 * 0 55225.00 8.140 0.187 0.106332 3.0e-12 1.95e-14 7.0e-20 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1803.3-2148[naa+12] FermiBlind NRAD -1585 B1800-27 J1803-2712 18:03:31.6 1.6e-02 -27:12:06 3.6e+00 * 0 * 0 * 0 50261.00 3.494 -2.532 0.334415 3.0e-12 1.71e-17 1.3e-20 2.100e-27 3.5e-27 * 0 50261.00 165.50 3.0e-01 * 0 3.40 0 1.00 1.1e-01 BT 48467.0000 1.0e+00 406.7810 2.0e-03 58.9400 2.0e-03 208.30 9.0e-01 5.070e-04 6.0e-06 * 0 * 0 * 0 3.46 * pks1,pksmb,htru_pks * - -1586 J1803-3002A J1803-3002A 18:03:34.1 0 -30:02:02 0 * 0 * 0 * 0 51544.00 1.025 -3.926 0.007101 0 * 0 * 0 * 0 51544.00 192.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.80 GC:NGC6522 misc * -1587 J1803-3002B J1803-3002B 18:03:34.1 0 -30:02:02 0 * 0 * 0 * 0 54100.00 1.025 -3.926 0.004397 0 * 0 * 0 * 0 54100.00 192.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.80 GC:NGC6522 misc * -1588 J1803-3002C J1803-3002C 18:03:34.1 0 -30:02:02 0 * 0 * 0 * 0 54100.00 1.025 -3.926 0.005840 0 * 0 * 0 * 0 54100.00 194.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.80 GC:NGC6522 misc * -1589 J1803-3329 J1803-3329 18:03:44.4 4.0e-03 -33:29:10.7 3.0e-01 * 0 * 0 * 0 55152.00 358.015 -5.637 0.633412 4.0e-12 3.37e-16 2.0e-19 * 0 * 0 55152.00 170.90 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.82 * htru_pks * -1590 B1802-07 J1804-0735 18:04:49.8 1.6e-03 -07:35:24.6 1.1e-01 * 0 * 0 * 0 50337.00 20.792 6.773 0.023101 3.0e-14 4.67e-19 3.0e-22 3.300e-27 7.6e-27 * 0 50337.00 186.32 1.3e-02 * 0 3.10 0 1.00 5.0e-01 BT 48354.4854 7.0e-05 2.6168 1.0e-07 3.9205 6.0e-05 164.75 1.0e-02 2.120e-01 3.0e-05 * 0 * 0 * 0 7.80 GC:NGC6539 misc,htru_pks * - -1591 J1804-2228 J1804-2228 18:04:28.1 9.0e-02 -22:28:18 5.5e+01 * 0 * 0 * 0 51414.00 7.722 -0.397 0.570511 1.0e-10 1.43e-16 1.0e-17 * 0 * 0 51414.00 424.00 7.0e+00 * 0 * 0 0.20 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.06 * pksmb,htru_pks * -1592 J1804-2717 J1804-2717 18:04:21.1 1.9e-05 -27:17:31.3 4.0e-03 2.560 1.5e-01 -17.000 3.0e+00 * 0 51041.00 3.505 -2.736 0.009343 4.0e-15 4.09e-20 5.0e-23 -5.900e-28 4.0e-26 * 0 55000.00 24.67 5.0e-03 * 0 15.00 4.0e+00 0.40 2.0e-01 DD 49615.0800 9.0e-03 11.1287 3.0e-09 7.2815 7.0e-07 158.70 3.0e-01 3.406e-05 1.6e-07 * 0 * 0 * 0 0.80 * pks70,pksmb * -1593 J1804-28 J1804-28 18:04:48 3.0e+01 -28:07 7.0e+00 * 0 * 0 * 0 51973.70 2.833 -3.225 1.273011 9.0e-06 * 0 * 0 * 0 51973.70 203.50 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.78 * pksmb,htru_pks * -1594 B1802+03 J1805+0306 18:05:10.1 1.9e-03 +03:06:30.2 1.1e-01 * 0 * 0 * 0 49946.00 30.413 11.708 0.218712 1.5e-12 9.99e-16 7.0e-21 1.700e-26 4.0e-27 * 0 49946.00 80.86 8.0e-03 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.26 * gb3,pkssw * -1595 J1805+06 J1805+06 18:05:55 6.0e+01 +06:14 1.5e+01 * 0 * 0 * 0 57022.00 33.355 12.949 0.002130 0 * 0 * 0 * 0 57022.00 65.00 0 * 0 * 0 * 0 BT * 0 0.3375 0 0.0880 0 * 0 * 0 * 0 * 0 * 0 3.88 GRS:3FGL_J1805.9+0614[cck+16] FermiAssoc * - -1596 J1805-0619 J1805-0619 18:05:31.4 9.0e-03 -06:19:45.4 4.0e-01 * 0 * 0 * 0 51650.00 21.990 7.225 0.454651 7.0e-12 9.69e-16 1.3e-18 * 0 * 0 51650.00 146.22 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.34 * pkssw,htru_pks * -1597 J1805-1504 J1805-1504 18:05:06.1 1.7e-01 -15:04:36 1.8e+01 * 0 * 0 * 0 53035.00 14.246 3.093 1.181269 3.0e-10 2.73e-16 3.0e-17 * 0 * 0 53035.00 225.00 3.0e+00 * 0 * 0 4.32 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * pksmb,htru_pks * -1598 J1805-2032 J1805-2032 18:05:37.0 6.0e-02 -20:32:51 2.1e+01 * 0 * 0 * 0 51149.00 9.530 0.313 0.405769 5.0e-11 8.39e-15 7.0e-18 * 0 * 0 51149.00 932.30 2.0e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * pksmb,htru_pks * -1599 J1805-2037 J1805-2037 18:05:28.1 3.0e-02 -20:37:16 1.1e+01 * 0 * 0 * 0 51388.00 9.449 0.307 0.357807 1.3e-11 1.76e-15 1.6e-18 * 0 * 0 51388.00 708.10 1.6e+00 * 0 * 0 0.34 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pksmb,htru_pks * -1600 J1805-2447 J1805-2447 18:05:25.9 3.0e-02 -24:47:30 1.4e+01 * 0 * 0 * 0 51936.00 5.807 -1.725 0.661402 1.4e-11 5.82e-18 7.0e-19 * 0 * 0 51936.00 269.00 3.0e+00 * 0 * 0 0.27 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * pksmb * - -1601 J1805-2948 J1805-2948 18:05:42.4 1.0e-02 -29:48:00 2.0e+00 * 0 * 0 * 0 55137.00 1.456 -4.217 0.428341 2.0e-10 4.74e-16 5.0e-18 * 0 * 0 55137.00 167.90 9.0e-01 * 0 * 0 0.18 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.59 * htru_pks * -1602 J1806+1023 J1806+1023 18:06:52.1 3.0e-03 +10:23:18.3 1.2e-01 * 0 * 0 * 0 53000.00 37.305 14.560 0.484286 2.0e-12 5.73e-17 4.0e-20 * 0 * 0 53000.00 52.03 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.95 * pkssw * -1603 B1804-12 J1806-1154 18:06:06.7 9.6e-03 -11:54:28.7 1.1e+00 * 0 * 0 * 0 50134.00 17.142 4.417 0.522618 4.0e-12 1.41e-15 3.0e-20 8.400e-27 2.5e-27 * 0 50134.00 122.41 5.0e-02 * 0 4.00 0 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * gb3,pks70,pksmb,htru_pks * -1604 J1806-1618 J1806-1618 18:06:25.7 6.0e-02 -16:18:38 8.0e+00 * 0 * 0 * 0 51843.00 13.323 2.213 0.668309 5.0e-11 8.62e-16 3.0e-18 * 0 * 0 51843.00 319.00 5.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.14 * pksmb,htru_pks * -1605 J1806-1920 J1806-1920 18:06:06.6 2.0e-01 -19:20:23 4.0e+01 * 0 * 0 * 0 51271.00 10.641 0.802 0.879791 7.0e-10 1.70e-17 2.1e-17 4.700e-24 4.5e-24 * 0 51271.00 683.00 7.0e+00 * 0 * 0 1.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.76 * pksmb,htru_pks * - -1606 J1806-2125 J1806-2125 18:06:19.5 8.0e-02 -21:25:40 2.4e+01 * 0 * 0 * 0 51894.00 8.843 -0.261 0.481789 3.0e-09 1.21e-13 5.0e-16 6.200e-22 1.2e-22 * 0 51894.00 747.00 1.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * pksmb,htru_pks * -1607 J1807+04 J1807+04 18:07:25 3.0e+01 +04:05 8.0e+00 * 0 * 0 * 0 56496.00 31.560 11.650 0.798900 0 * 0 * 0 * 0 56496.00 53.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * ar327 * -1608 J1807+0756 J1807+0756 18:07:51.2 2.0e-03 +07:56:43.3 5.0e-02 * 0 * 0 * 0 53064.00 35.149 13.276 0.464300 2.0e-12 1.29e-16 2.0e-19 * 0 * 0 53064.00 89.29 3.0e-02 * 0 2.16 6.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * ar4,gb4 * -1609 B1804-08 J1807-0847 18:07:38.0 4.0e-04 -08:47:43.2 2.0e-02 -5.000 4.0e+00 1.000 4.0e+00 * 0 48244.00 20.061 5.587 0.163727 9.0e-14 2.88e-17 4.0e-22 -4.790e-27 2.0e-28 * 0 48244.00 112.38 1.1e-03 * 0 65.00 4.0e+00 15.00 1.5e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.50 * mol2,gb3,pks70,pkssw,pksmb,htru_pks * -1610 J1807-2459A J1807-2459A 18:07:20.3 1.6e-05 -24:59:52.9 6.5e-03 * 0 * 0 * 0 50851.90 5.837 -2.203 0.003059 3.0e-17 -4.34e-21 2.6e-24 * 0 * 0 55243.00 134.00 5.8e-04 * 0 * 0 1.10 1.2e-01 BT 55242.9944 2.4e-07 0.0711 2.9e-11 0.0122 1.2e-07 * 0 0.000e+00 1.1e-04 * 0 * 0 * 0 2.79 GC:NGC6544 pksgc,pksmb,htru_pks * - -1611 J1807-2459B J1807-2459B 18:07:20.8 5.3e-05 -25:00:01.9 1.7e-02 * 0 * 0 * 0 54881.35 5.836 -2.206 0.004186 2.5e-16 8.23e-20 1.8e-24 * 0 * 0 54881.35 137.15 2.0e-03 * 0 * 0 * 0 DD 54881.3474 2.2e-07 9.9567 2.7e-09 28.9204 4.4e-05 11.33 1.8e-05 7.470e-01 4.0e-08 * 0 * 0 * 0 2.79 GC:NGC6544 misc * -1612 J1807-2557 J1807-2557 18:07:13.6 1.0e-02 -25:57:20 5.0e+00 * 0 * 0 * 0 54984.00 4.987 -2.646 2.764195 4.0e-11 4.99e-15 2.0e-18 * 0 * 0 54984.00 385.00 1.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 18.58 * pksmb RRAT -1613 B1804-27 J1807-2715 18:07:08.4 8.2e-03 -27:15:03.0 1.4e+00 * 0 * 0 * 0 49891.00 3.843 -3.257 0.827776 9.0e-12 1.22e-14 7.0e-20 -8.200e-26 3.0e-27 * 0 49891.00 312.98 3.0e-02 * 0 25.00 0 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.38 * mol2,pks70,pksmb,htru_pks * -1614 J1808+00 J1808+00 18:08:19 1.6e+01 +00:34 5.0e+00 * 0 * 0 * 0 49717.00 28.480 9.844 0.425115 3.0e-06 * 0 * 0 * 0 49717.00 141.00 2.8e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.90 * ar4,pkssw * -1615 J1808-0813 J1808-0813 18:08:09.4 9.4e-03 -08:13:01.8 6.8e-01 * 0 * 0 * 0 50862.00 20.634 5.750 0.876044 6.0e-12 1.24e-15 6.0e-20 2.000e-27 2.3e-27 * 0 50862.00 151.27 6.0e-02 * 0 28.00 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * pks70,pkssw,pksmb,htru_pks * - -1616 J1808-1020 J1808-1020 18:08:45.6 6.0e-03 -10:20:48.3 4.0e-01 * 0 * 0 * 0 53035.00 18.828 4.600 0.596993 4.0e-12 7.72e-16 4.0e-19 * 0 * 0 53035.00 225.30 8.0e-01 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.08 * pksmb,htru_pks * -1617 J1808-1517 J1808-1517 18:08:39.0 2.0e-02 -15:17:40 2.0e+00 * 0 * 0 * 0 55105.40 14.472 2.239 0.544549 8.0e-12 2.67e-15 5.0e-19 * 0 * 0 55105.40 205.00 5.0e+00 * 0 * 0 0.35 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.31 * pksmb * -1618 J1808-1726 J1808-1726 18:08:42.3 3.0e-01 -17:26:27 4.2e+01 * 0 * 0 * 0 53108.00 12.599 1.188 0.241035 9.0e-11 1.16e-17 1.2e-17 * 0 * 0 53108.00 536.00 7.0e+00 * 0 * 0 0.39 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.17 * pksmb * -1619 J1808-2024 J1808-2024 18:08:39.3 4.0e-03 -20:24:39.8 6.0e-02 -4.500 1.4e+00 -6.900 2.0e+00 * 0 53254.00 9.996 -0.242 7.555920 5.0e-05 5.49e-10 9.0e-12 -1.780e-20 2.1e-21 * 0 53254.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.00 SNR:G10.0-0.3(?),SGR_1806-20 misc AXP,NRAD -1620 B1805-20 J1808-2057 18:08:06.3 1.1e-02 -20:58:08 2.9e+00 * 0 * 0 * 0 49612.00 9.446 -0.400 0.918410 1.1e-11 1.71e-14 9.0e-20 7.870e-26 1.8e-27 * 0 49612.00 606.80 9.0e-01 * 0 * 0 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.58 * jb2,pks1,pksmb,htru_pks * - -1621 J1808-2701 J1808-2701 18:08:13.2 4.0e-02 -27:01:21 9.0e+00 * 0 * 0 * 0 53112.00 4.160 -3.357 2.457882 1.2e-10 6.58e-14 1.1e-17 * 0 * 0 53112.00 95.00 4.0e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.71 * pksmb * -1622 J1808-3249 J1808-3249 18:08:04.4 2.0e-02 -32:49:34 1.0e+00 * 0 * 0 * 0 51500.00 359.035 -6.115 0.364912 1.0e-11 7.05e-15 1.0e-18 * 0 * 0 51500.00 147.37 1.9e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.27 * pkssw,htru_pks * -1623 J1809-0119 J1809-0119 18:09:51.3 1.0e-02 -01:19:29.0 4.0e-01 * 0 * 0 * 0 55254.00 26.962 8.627 0.744976 3.0e-10 2.29e-15 2.0e-17 * 0 * 0 55254.00 140.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.09 * htru_pks * -1624 J1809-0743 J1809-0743 18:09:35.9 1.0e-02 -07:43:01.4 5.0e-01 * 0 * 0 * 0 51650.00 21.247 5.675 0.313886 5.0e-12 1.52e-16 9.0e-19 * 0 * 0 51650.00 240.70 1.4e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.99 * pkssw,pksmb * -1625 J1809-1429 J1809-1429 18:09:45.5 8.0e-03 -14:29:25.0 1.2e+00 * 0 * 0 * 0 51495.00 15.306 2.393 0.895285 1.3e-11 5.24e-15 4.0e-18 * 0 * 0 51495.00 411.30 1.6e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.12 * pksmb,htru_pks * - -1626 J1809-1850 J1809-1850 18:09:37.2 1.2e-01 -18:50:55 2.1e+01 * 0 * 0 * 0 51871.00 11.473 0.316 1.124481 1.7e-10 1.06e-14 8.0e-18 * 0 * 0 51871.00 598.00 1.3e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.67 * pksmb * -1627 J1809-1917 J1809-1917 18:09:43.1 7.0e-03 -19:17:38.1 1.3e+00 * 0 * 0 * 0 51506.00 11.094 0.080 0.082747 3.0e-12 2.55e-14 4.0e-20 3.220e-23 5.0e-25 * 0 51506.00 197.10 4.0e-01 * 0 * 0 2.50 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 XRS:PWN[kp07] pksmb,htru_pks * -1628 J1809-1943 J1809-1943 18:09:51.0 3.0e-04 -19:43:51.9 4.0e-03 -6.600 6.0e-02 -11.700 1.0e+00 * 0 55444.00 10.727 -0.158 5.540743 2.0e-08 2.83e-12 1.1e-15 4.100e-23 3.0e-24 * 0 55444.00 178.00 5.0e+00 * 0 * 0 0.68 2.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 XRS:XTE_J1810-197 misc AXP,HE -1629 J1809-2004 J1809-2004 18:09:15.8 1.5e-01 -20:04:12 5.7e+01 * 0 * 0 * 0 51719.00 10.363 -0.202 0.434811 1.6e-10 7.28e-15 6.0e-17 * 0 * 0 51719.00 867.10 1.7e+00 * 0 * 0 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.23 * pksmb,htru_pks * -1630 B1806-21 J1809-2109 18:09:14.3 3.7e-03 -21:09:02.9 1.4e+00 * 0 * 0 * 0 49612.00 9.415 -0.720 0.702414 4.0e-12 3.82e-15 3.0e-20 -2.400e-27 1.1e-27 * 0 49612.00 381.91 5.0e-02 * 0 * 0 0.84 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * jb2,pksmb,htru_pks * - -1631 J1809-2332 J1809-2332 18:09:50.2 3.0e-02 -23:32:22.6 1.0e-01 12.000 8.0e+00 -24.000 6.0e+00 * 0 55770.00 7.390 -1.995 0.146789 7.0e-12 3.44e-14 3.0e-19 * 0 * 0 54935.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 GRS:2FGL_J1809.8-2332[naa+12],PWN:[brrk0 FermiBlind NRAD -1632 J1809-3547 J1809-3547 18:09:26.9 4.0e-02 -35:47:18 2.0e+00 * 0 * 0 * 0 49388.90 356.541 -7.766 0.860388 7.0e-10 1.20e-16 1.0e-17 * 0 * 0 49388.90 193.84 7.0e-02 * 0 21.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 22.64 * pks70,htru_pks * -1633 J1810-1441 J1810-1441 18:10:59.1 1.4e-02 -14:41:33.6 1.3e+00 * 0 * 0 * 0 51874.00 15.272 2.035 0.217214 4.0e-12 2.39e-17 1.9e-19 * 0 * 0 51874.00 304.90 1.3e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pksmb,htru_pks * -1634 J1810+1744 J1810+1744 18:10:37.2 1.0e-02 +17:44:37.3 7.0e-02 * 0 * 0 * 0 55196.00 44.642 16.806 0.001660 0 * 0 * 0 * 0 55196.00 39.70 0 * 0 20.00 0 * 0 BT * 0 0.1500 0 0.0950 0 * 0 * 0 * 0 * 0 * 0 2.36 OPT:[bvr+13] FermiAssoc HE -1635 J1810-1820 J1810-1820 18:10:55.5 3.0e-02 -18:20:39 6.0e+00 * 0 * 0 * 0 50972.00 12.064 0.289 0.153716 8.0e-12 5.22e-17 3.0e-18 * 0 * 0 50972.00 452.20 2.5e+00 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * - -1636 J1810-2005 J1810-2005 18:10:58.9 6.0e-04 -20:05:08.2 1.4e-01 0.000 2.0e+00 17.000 3.7e+01 * 0 53200.00 10.545 -0.563 0.032822 8.0e-15 1.47e-19 1.2e-22 * 0 * 0 53200.00 241.00 3.0e-01 * 0 * 0 1.33 2.0e-02 ELL1 * 0 15.0120 4.0e-08 11.9779 1.8e-05 152.10 0.0e+00 1.924e-05 0.0e+00 53195.5285 4.0e-06 9.000e-06 3.0e-06 -1.700e-05 3.0e-06 3.51 * pksmb,htru_pks * -1637 B1806-53 J1810-5338 18:10:44.4 6.0e-02 -53:38:07.7 1.2e+00 * 0 * 0 * 0 43558.14 340.291 -15.901 0.261049 7.0e-11 3.83e-16 4.0e-18 * 0 * 0 43558.14 45.00 2.0e+00 * 0 12.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.65 * mol2,pks70,pkssw * -1638 J1811-0154 J1811-0154 18:11:19.8 3.0e-02 -01:54:30.9 7.0e-01 * 0 * 0 * 0 51650.00 26.613 8.029 0.924945 4.0e-11 1.61e-15 6.0e-18 * 0 * 0 51650.00 148.10 3.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.11 * pkssw,htru_pks * -1639 J1811+0702 J1811+0702 18:11:20.4 7.0e-02 +07:02:29.7 2.0e-01 * 0 * 0 * 0 51885.00 34.709 12.102 0.461713 3.0e-11 2.69e-15 1.0e-18 * 0 * 0 51885.00 57.80 1.0e-01 * 0 2.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.96 * ar4,pkssw * -1640 J1811-1049 J1811-1049 18:11:17.0 8.0e-02 -10:49:03 4.0e+00 * 0 * 0 * 0 55983.50 18.712 3.830 2.623859 3.0e-10 8.00e-16 2.0e-16 * 0 * 0 55983.50 253.30 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.67 * pksmb * - -1641 J1811-1717 J1811-1717 18:11:26.5 1.9e-01 -17:17:47 1.4e+01 * 0 * 0 * 0 56762.00 13.041 0.686 0.391385 9.0e-11 1.20e-16 8.0e-19 * 0 * 0 56762.00 545.50 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * htru_pks * -1642 J1811-1736 J1811-1736 18:11:55.0 3.0e-03 -17:36:37.7 4.0e-01 * 0 * 0 * 0 51050.00 12.821 0.435 0.104182 4.0e-13 9.01e-19 5.0e-21 * 0 * 0 51050.00 476.00 5.0e+00 * 0 * 0 1.30 3.0e-01 BT 50875.0245 3.0e-05 18.7792 4.0e-07 34.7827 5.0e-04 127.66 1.1e-03 8.280e-01 9.0e-06 * 0 * 0 * 0 4.43 * pksmb,htru_pks * -1643 J1811-1835 J1811-1835 18:11:29.7 9.0e-02 -18:35:44 1.3e+01 * 0 * 0 * 0 51184.00 11.909 0.049 0.557464 1.0e-10 6.31e-15 1.3e-17 * 0 * 0 51184.00 761.00 1.1e+01 * 0 * 0 0.42 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.93 * pksmb,htru_pks * -1644 J1811-1925 J1811-1925 18:11:29.2 1.0e-01 -19:25:28 1.0e+00 * 0 * 0 * 0 49452.60 11.181 -0.348 0.064667 2.0e-08 4.40e-14 4.0e-16 * 0 * 0 49452.60 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 SNR:G11.2-0.3 misc NRAD -1645 J1811-2405 J1811-2405 18:11:19.8 2.0e-05 -24:05:18.3 1.1e-02 0.650 1.4e-01 -9.100 5.2e+00 0.200 2.0e-01 55208.50 7.073 -2.559 0.002661 7.0e-17 1.34e-20 1.5e-24 * 0 * 0 55208.50 60.60 1.7e-03 * 0 * 0 0.37 0 ELL1 * 0 6.2723 1.2e-09 5.7057 3.0e-07 62.81 0.0e+00 1.641e-06 0.0e+00 55136.1686 7.0e-08 1.460e-06 1.0e-07 7.500e-07 1.0e-07 1.83 * htru_pks * - -1646 J1811-2439 J1811-2439 18:11:55.5 3.0e-02 -24:39:53 9.0e+00 * 0 * 0 * 0 53165.00 6.632 -2.954 0.415813 1.1e-11 2.97e-16 1.1e-18 * 0 * 0 53165.00 172.00 5.0e-01 * 0 * 0 0.26 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.94 * pksmb,htru_pks * -1647 J1811-4930 J1811-4930 18:11:27.1 1.0e-02 -49:30:20.8 2.0e-01 * 0 * 0 * 0 54996.00 344.222 -14.267 1.432704 1.0e-10 2.25e-15 5.0e-18 * 0 * 0 54996.00 44.00 5.0e-01 * 0 * 0 0.46 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.45 * htru_pks * -1648 B1810+02 J1812+0226 18:12:53.1 6.5e-03 +02:26:57.1 1.8e-01 * 0 * 0 * 0 49906.00 30.709 9.692 0.793903 3.0e-12 3.60e-15 3.0e-20 3.700e-28 8.4e-28 * 0 49906.00 104.14 3.0e-02 * 0 3.80 3.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.20 * gb3,pkssw * -1649 B1809-173 J1812-1718 18:12:07.2 7.7e-03 -17:18:29.5 1.1e+00 * 0 * 0 * 0 49612.00 13.109 0.538 1.205374 9.0e-11 1.91e-14 1.5e-17 5.800e-26 6.0e-27 * 0 54600.00 255.10 1.8e+00 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * jb2,pksmb,htru_pks * -1650 B1809-176 J1812-1733 18:12:15.8 1.7e-04 -17:33:37.8 2.0e-03 * 0 * 0 * 0 57382.00 12.904 0.387 0.538341 9.0e-12 9.82e-16 5.0e-20 -1.400e-26 5.0e-27 * 0 50283.00 518.00 4.0e+00 * 0 * 0 3.30 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.52 * jb2,pksmb,htru_pks * - -1651 J1812-1910 J1812-1910 18:12:34.8 1.0e-01 -19:10:39 1.0e+01 * 0 * 0 * 0 51997.00 11.522 -0.456 0.430991 6.0e-11 3.77e-14 3.0e-17 * 0 * 0 51997.00 892.00 5.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.95 * pksmb,htru_pks * -1652 J1812-2102 J1812-2102 18:12:20.9 6.0e-02 -21:02:36 1.5e+01 * 0 * 0 * 0 51134.00 9.859 -1.303 1.223352 9.0e-11 2.39e-14 9.0e-18 * 0 * 0 51134.00 547.20 1.0e+00 * 0 * 0 1.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.42 * pksmb,htru_pks * -1653 J1812-2526 J1812-2526 18:12:32.3 3.0e-02 -25:26:38 7.0e+00 * 0 * 0 * 0 53171.00 6.013 -3.448 0.315835 8.0e-12 1.77e-16 9.0e-19 * 0 * 0 53171.00 361.40 4.0e-01 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 22.26 * pksmb,htru_pks * -1654 J1812-2748 J1812-2748 18:12:40.5 1.0e-02 -27:48:03 2.0e+00 * 0 * 0 * 0 55160.00 3.949 -4.598 0.236983 9.0e-12 3.16e-16 4.0e-19 * 0 * 0 55160.00 104.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.94 * htru_pks * -1655 J1812-3039 J1812-3039 18:12:44.9 9.0e-03 -30:39:21 1.0e+00 * 0 * 0 * 0 55336.00 1.431 -5.962 0.587477 2.0e-11 6.60e-16 8.0e-19 * 0 * 0 55336.00 138.90 9.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.23 * htru_pks * - -1656 J1813-1246 J1813-1246 18:13:23.7 1.0e-02 -12:45:59.2 1.5e+00 * 0 * 0 * 0 54954.00 17.244 2.445 0.048072 7.0e-12 1.76e-14 3.0e-19 * 0 * 0 54954.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 GRS:2FGL_J1813.4-1246[naa+12],XRS:Swift_ FermiBlind NRAD -1657 J1813-1749 J1813-1749 18:13:35.1 2.1e-02 -17:49:57.4 3.0e-01 * 0 * 0 * 0 53993.00 12.816 -0.020 0.044699 6.0e-10 1.27e-13 7.0e-17 * 0 * 0 54918.14 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.70 SNR:12.8-0.0,GRS:HESS_J1813-178 misc NRAD -1658 J1813+1822 J1813+1822 18:13:38.7 5.0e-02 +18:22:15.0 9.0e-01 * 0 * 0 * 0 51886.00 45.544 16.401 0.336425 9.0e-10 2.10e-17 8.0e-18 * 0 * 0 51886.00 60.80 5.0e-01 * 0 0.60 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * ar4 * -1659 J1813-2113 J1813-2113 18:13:39.8 3.0e-02 -21:13:00.4 7.3e+00 * 0 * 0 * 0 51018.00 9.853 -1.656 0.426466 1.3e-11 2.08e-15 6.0e-18 * 0 * 0 51018.00 462.30 1.5e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.02 * pksmb,htru_pks * -1660 J1813-2242 J1813-2242 18:13:29.1 8.0e-02 -22:42:06 4.2e+01 * 0 * 0 * 0 51843.00 8.529 -2.329 0.328514 1.5e-11 4.78e-17 6.0e-19 * 0 * 0 51843.00 333.00 3.0e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.48 * pksmb,htru_pks * - -1661 J1813-2621 J1813-2621 18:13:40.5 1.0e-04 -26:21:57.0 1.8e-02 -7.300 9.0e-01 -22.000 1.6e+01 * 0 54058.00 5.322 -4.112 0.004430 1.8e-15 1.25e-20 6.0e-24 * 0 * 0 54058.00 112.52 9.0e-03 * 0 * 0 0.65 0 ELL1 * 0 8.1598 1.0e-08 5.5926 3.0e-06 289.80 0.0e+00 2.657e-06 0.0e+00 54054.9328 6.0e-07 -2.500e-06 1.0e-06 9.000e-07 8.0e-07 3.01 * pksmb * -1662 B1811+40 J1813+4013 18:13:13.2 7.0e-03 +40:13:39.0 1.1e-01 * 0 * 0 * 0 49886.00 67.408 24.033 0.931089 3.0e-12 2.55e-15 3.0e-20 1.490e-26 6.0e-28 * 0 49886.00 41.56 2.2e-04 * 0 8.00 2.0e+00 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * gb1,gb4 * -1663 J1814-0521 J1814-0521 18:14:26.1 2.0e-02 -05:21:37.0 8.0e-01 * 0 * 0 * 0 55257.00 23.905 5.730 1.014219 6.0e-11 8.84e-16 3.0e-18 * 0 * 0 55257.00 130.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * htru_pks * -1664 J1814-0618 J1814-0618 18:14:41.2 7.0e-02 -06:18:01.7 3.3e+00 * 0 * 0 * 0 53095.00 23.101 5.233 1.377868 1.4e-10 2.92e-16 1.6e-17 * 0 * 0 53095.00 168.00 6.0e+00 * 0 * 0 0.58 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.99 * pksmb * -1665 J1814+1130 J1814+1130 18:14:42.7 2.0e-03 +11:30:43.9 5.0e-02 * 0 * 0 * 0 51500.00 39.205 13.306 0.751261 3.0e-12 1.66e-15 8.0e-20 * 0 * 0 51500.00 65.00 1.0e+00 * 0 0.72 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * misc * - -1666 J1814-1649 J1814-1649 18:14:37.3 4.0e-02 -16:49:28 5.0e+00 * 0 * 0 * 0 51133.00 13.820 0.245 0.957464 7.0e-11 6.33e-15 7.0e-18 * 0 * 0 51133.00 782.00 6.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.21 * pksmb,htru_pks * -1667 J1814-1744 J1814-1744 18:14:43.1 5.0e-02 -17:44:48 8.0e+00 * 0 * 0 * 0 52353.00 13.021 -0.215 3.975905 1.6e-08 7.45e-13 4.0e-16 * 0 * 0 52353.00 792.00 1.6e+01 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb,htru_pks * -1668 J1815-1738 J1815-1738 18:15:14.6 9.0e-03 -17:38:03.0 1.2e+00 * 0 * 0 * 0 52204.00 13.179 -0.272 0.198436 1.6e-12 7.79e-14 1.2e-19 * 0 * 0 52204.00 724.60 2.0e-01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.89 * pksmb,htru_pks * -1669 J1815-1910 J1815-1910 18:15:03.0 4.0e-02 -19:10:00.4 7.5e+00 * 0 * 0 * 0 50954.00 11.810 -0.963 1.249924 8.0e-11 3.63e-14 3.0e-17 * 0 * 0 50954.00 547.80 4.0e-01 * 0 * 0 0.32 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.08 * pksmb,htru_pks * -1670 J1815+55 J1815+55 18:15 2.0e+00 +55:29 1.8e+01 * 0 * 0 * 0 56292.00 83.992 27.101 0.426802 1.3e-05 * 0 * 0 * 0 56292.00 59.00 2.0e+00 * 0 4.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gbncc * - -1671 J1816-0755 J1816-0755 18:16:24.5 6.0e-03 -07:55:22.5 4.0e-01 * 0 * 0 * 0 53035.00 21.867 4.092 0.217643 1.5e-12 6.48e-15 1.5e-19 * 0 * 0 53035.00 116.80 4.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.13 * pksmb,htru_pks * -1672 J1816-1446 J1816-1446 18:16:29.1 3.0e-02 -14:46:30 3.0e+00 * 0 * 0 * 0 51969.00 15.836 0.828 0.594500 1.8e-11 1.33e-15 1.1e-18 * 0 * 0 51969.00 629.00 4.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.13 * pksmb,htru_pks * -1673 B1813-17 J1816-1729 18:16:18.6 4.9e-03 -17:29:02.7 6.8e-01 * 0 * 0 * 0 49481.00 13.433 -0.424 0.782313 4.0e-11 7.26e-15 3.0e-19 -1.710e-25 7.0e-27 * 0 49481.00 525.50 7.0e-01 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.44 * jb2,pksmb,htru_pks * -1674 B1813-26 J1816-2650 18:16:35.4 1.2e-02 -26:49:53 2.9e+00 * 0 * 0 * 0 48739.00 5.219 -4.906 0.592885 3.0e-12 6.64e-17 1.5e-20 -1.200e-27 5.0e-28 * 0 48739.00 128.12 3.0e-02 * 0 18.00 2.0e+00 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.59 * mol1,jb1,mol2,pks70,pkssw,pksmb,htr * -1675 J1816+4510 J1816+4510 18:16:35.9 7.0e-05 +45:10:33.8 8.0e-04 5.300 8.0e-01 -3.000 1.0e+00 * 0 56047.00 72.830 24.735 0.003193 2.0e-16 4.31e-20 1.0e-23 * 0 * 0 56047.00 38.89 4.0e-04 * 0 1.50 0 * 0 ELL1 * 0 0.3609 2.0e-10 0.5954 1.0e-06 39.81 0.0e+00 7.810e-06 0.0e+00 56047.5491 2.0e-07 5.000e-06 3.0e-06 6.000e-06 4.0e-06 4.36 GRS:1FGL_J1816.7+4509[aaa+10g],OPT:[kbv+ gbncc HE[ksr+12] - -1676 J1816-5643 J1816-5643 18:16:36.4 7.0e-03 -56:43:42.1 6.0e-02 * 0 * 0 * 0 53000.00 337.673 -17.898 0.217923 1.3e-12 1.93e-18 6.0e-20 * 0 * 0 53000.00 52.40 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.58 * pkssw * -1677 J1817-0743 J1817-0743 18:17:49.7 5.0e-02 -07:43:18.9 1.4e+00 * 0 * 0 * 0 52887.00 22.211 3.876 0.438095 1.8e-11 -2.30e-18 8.3e-18 * 0 * 0 52887.00 14.80 4.0e-01 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.20 * pksmb * -1678 J1817-1511 J1817-1511 18:17:36.2 6.0e-02 -15:11:39 6.0e+00 * 0 * 0 * 0 52160.00 15.595 0.391 0.224604 1.6e-11 1.43e-15 9.0e-19 * 0 * 0 52160.00 970.00 5.0e+00 * 0 * 0 0.43 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.32 * pksmb,htru_pks * -1679 J1817-1938 J1817-1938 18:17:06.8 8.0e-02 -19:38:36 1.2e+01 * 0 * 0 * 0 55991.80 11.623 -1.617 2.046838 2.0e-10 3.60e-16 9.0e-17 * 0 * 0 55991.80 519.60 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.07 * htru_pks,pksmb * -1680 B1814-23 J1817-2311 18:17 4.0e+00 -23:11 1.5e+01 * 0 * 0 * 0 44969.00 8.489 -3.270 0.625470 2.0e-05 * 0 * 0 * 0 44969.00 240.00 4.0e+01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.93 * misc * - -1681 B1813-36 J1817-3618 18:17:05.7 1.4e-02 -36:18:04.0 6.0e-01 * 0 * 0 * 0 43558.13 356.801 -9.374 0.387017 3.0e-11 2.05e-15 1.4e-18 * 0 * 0 43558.13 94.30 5.0e-01 * 0 22.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * mol2,pks70,pkssw,htru_pks * -1682 J1817-3837 J1817-3837 18:17:00.2 4.0e-03 -38:37:59.7 2.0e-01 * 0 * 0 * 0 49526.46 354.678 -10.406 0.384487 2.0e-11 5.80e-16 6.0e-19 * 0 * 0 49526.46 102.85 6.0e-03 * 0 12.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * pks70,pkssw,htru_pks * -1683 J1818-01 J1818-01 18:18:15 0 -01:49:02 0 * 0 * 0 * 0 55561.00 27.503 6.540 0.838500 0 * 0 * 0 * 0 55561.00 210.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.78 * htru_pks * -1684 J1818-1116 J1818-1116 18:18:26.4 6.0e-02 -11:16:29 7.0e+00 * 0 * 0 * 0 52158.00 19.144 2.068 0.544800 5.0e-11 3.82e-15 6.0e-18 * 0 * 0 52158.00 422.00 7.0e+00 * 0 * 0 0.50 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.03 * pksmb * -1685 B1815-14 J1818-1422 18:18:23.7 1.7e-03 -14:22:36.7 1.6e-01 * 0 * 0 * 0 54000.00 16.405 0.610 0.291489 4.0e-13 2.04e-15 1.7e-20 -4.460e-25 3.0e-27 * 0 54100.00 622.00 4.0e-01 * 0 * 0 7.10 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.46 * jb2,pks1,pksmb,htru_pks * - -1686 J1818-1448 J1818-1448 18:18:27.9 6.0e-02 -14:48:38 7.0e+00 * 0 * 0 * 0 54863.10 16.031 0.390 0.281371 6.0e-11 6.15e-15 2.0e-17 * 0 * 0 54863.10 644.00 6.0e+00 * 0 * 0 0.19 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * pksmb * -1687 J1818-1519 J1818-1519 18:18:14.6 3.0e-01 -15:19:43 3.6e+01 * 0 * 0 * 0 51415.00 15.550 0.192 0.939690 5.0e-10 4.11e-15 7.0e-17 * 0 * 0 51415.00 845.00 6.0e+00 * 0 * 0 2.10 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * pksmb,htru_pks * -1688 J1818-1541 J1818-1541 18:18:37.5 3.0e-02 -15:41:45 5.0e+00 * 0 * 0 * 0 51491.00 15.270 -0.063 0.551134 3.0e-11 9.68e-15 7.0e-18 * 0 * 0 51491.00 690.00 5.0e+00 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.79 * pksmb,htru_pks * -1689 J1818-1556 J1818-1556 18:18:51.9 2.0e-02 -15:56:04 2.0e+00 * 0 * 0 * 0 54263.40 15.087 -0.227 0.952709 1.9e-11 7.06e-16 1.9e-18 * 0 * 0 54263.40 230.00 4.0e+00 * 0 * 0 0.49 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.46 * pksmb,htru_pks * -1690 J1819-0925 J1819-0925 18:19:50.5 1.9e-02 -09:25:49.9 1.3e+00 * 0 * 0 * 0 52105.00 20.935 2.633 0.852047 1.5e-11 3.13e-15 1.1e-18 * 0 * 0 52105.00 378.00 3.0e+00 * 0 * 0 0.72 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.82 * pksmb,htru_pks * - -1691 J1819-1008 J1819-1008 18:19:39.9 1.7e-02 -10:08:28 4.0e+00 * 0 * 0 * 0 52182.00 20.287 2.337 0.301490 7.0e-12 1.32e-15 5.0e-19 * 0 * 0 52182.00 404.00 3.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.56 * pksmb,htru_pks * -1692 J1819-1114 J1819-1114 18:19:28.7 1.0e-02 -11:14:43 1.0e+00 * 0 * 0 * 0 54849.90 19.291 1.857 0.294163 2.0e-11 5.66e-16 6.0e-18 * 0 * 0 54849.90 310.00 5.0e+00 * 0 * 0 1.07 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb * -1693 J1819-1131 J1819-1131 18:19:58.1 1.0e-01 -11:31:29 9.0e+00 * 0 * 0 * 0 51874.00 19.101 1.619 1.388137 1.6e-10 7.61e-16 1.0e-17 * 0 * 0 51874.00 578.00 1.3e+01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.40 * pksmb * -1694 J1819+1305 J1819+1305 18:19:56.2 3.0e-03 +13:05:15.2 1.1e-01 * 0 * 0 * 0 51650.00 41.227 12.828 1.060364 7.0e-12 3.59e-16 2.0e-19 * 0 * 0 51650.00 64.81 1.3e-02 * 0 6.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pkssw,misc * -1695 J1819-1318 J1819-1318 18:19:43.6 5.0e-02 -13:18:42 5.0e+00 * 0 * 0 * 0 52856.00 17.497 0.829 1.515696 1.2e-10 5.97e-16 3.0e-17 * 0 * 0 52856.00 35.10 1.5e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 * pksmb * - -1696 J1819-1408 J1819-1408 18:19:56.8 5.0e-01 -14:08:01.6 5.0e+01 * 0 * 0 * 0 51612.00 16.797 0.394 1.788490 1.6e-09 2.59e-15 1.6e-16 * 0 * 0 51612.00 1075.00 4.1e+01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.88 * pksmb,htru_pks * -1697 J1819-1458 J1819-1458 18:19:34.1 1.9e-02 -14:58:03.5 2.8e-01 * 0 * 0 * 0 54451.00 16.019 0.080 4.263164 4.0e-10 5.75e-13 1.9e-17 * 0 * 0 54451.00 196.00 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 XRS:CXOU_J181939.1-145804[mrg+07] pksmb RRAT,HE -1698 J1819-1510 J1819-1510 18:19:53.6 8.0e-03 -15:10:20.6 1.2e+00 * 0 * 0 * 0 51492.00 15.876 -0.086 0.226539 4.0e-12 7.85e-18 9.0e-19 * 0 * 0 51492.00 421.70 1.1e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.13 * pksmb,htru_pks * -1699 J1819-17 J1819-17 18:19:30 3.0e+01 -17:05 7.0e+00 * 0 * 0 * 0 56657.00 14.146 -0.904 2.352135 1.5e-05 * 0 * 0 * 0 56657.00 67.00 2.3e+01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 * htru_pks * -1700 J1819-1717 J1819-1717 18:19:43.4 5.0e-02 -17:17:16 5.0e+00 * 0 * 0 * 0 54756.20 13.991 -1.048 0.393522 6.0e-11 3.45e-15 6.0e-18 * 0 * 0 54756.20 405.00 2.0e+00 * 0 * 0 0.26 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * pksmb * - -1701 B1818-04 J1820-0427 18:20:52.6 2.1e-03 -04:27:38.1 1.1e-01 * 0 * 0 * 0 46634.00 25.456 4.733 0.598076 1.5e-11 6.33e-15 4.0e-20 3.570e-26 1.0e-27 * 0 46634.00 84.44 1.7e-02 * 0 157.00 6.0e+00 6.10 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,jb1,mol2,gb2,gb3,pks70,pkssw,p * -1702 J1820-0509 J1820-0509 18:20:22.7 7.0e-03 -05:09:38.5 4.0e-01 * 0 * 0 * 0 53035.00 24.777 4.516 0.337321 3.0e-12 9.32e-16 3.0e-19 * 0 * 0 53035.00 104.00 3.0e-01 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * pksmb,htru_pks * -1703 B1817-13 J1820-1346 18:20:19.7 1.2e-02 -13:46:15.3 1.1e+00 * 0 * 0 * 0 49609.00 17.161 0.483 0.921460 5.0e-12 4.50e-15 4.0e-20 1.420e-26 7.0e-28 * 0 49609.00 776.70 1.7e+00 * 0 * 0 2.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.89 * jb2,pks1,pksmb,htru_pks * -1704 J1820-1529 J1820-1529 18:20:40.8 9.0e-02 -15:29:50 1.0e+01 * 0 * 0 * 0 52050.98 15.678 -0.406 0.333243 1.8e-11 3.79e-14 1.0e-18 * 0 * 0 52050.98 768.50 6.0e-01 * 0 * 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * pksmb,htru_pks * -1705 B1817-18 J1820-1818 18:20:39.0 4.6e-03 -18:18:03.3 6.8e-01 * 0 * 0 * 0 50283.00 13.202 -1.720 0.309905 9.0e-13 9.36e-17 6.0e-21 5.600e-27 1.7e-27 * 0 50283.00 436.00 1.2e+00 * 0 * 0 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.04 * pks1,pksmb,htru_pks * - -1706 J1821+0155 J1821+0155 18:21:38.8 5.0e-05 +01:55:21.9 2.0e-03 * 0 * 0 * 0 55584.00 31.244 7.504 0.033781 1.3e-13 2.90e-20 1.9e-22 * 0 * 0 55584.00 51.75 3.0e-05 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * gb350,ar327 * -1707 J1821-0256 J1821-0256 18:21:10.3 2.0e-02 -02:56:38.6 1.0e+00 * 0 * 0 * 0 53097.00 26.839 5.372 0.414111 1.4e-11 3.72e-17 1.4e-18 * 0 * 0 53097.00 84.00 4.0e-01 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * pksmb * -1708 J1821-0331 J1821-0331 18:21:44.7 3.0e-02 -03:31:12.7 1.0e-01 * 0 * 0 * 0 55980.90 26.393 4.978 0.902316 4.0e-11 2.53e-15 2.0e-17 * 0 * 0 55980.90 171.50 0 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.56 * pksmb * -1709 J1821-1419 J1821-1419 18:21:34.3 4.0e-01 -14:19:26 3.2e+01 * 0 * 0 * 0 52303.00 16.815 -0.043 1.656010 9.0e-10 8.95e-13 3.0e-16 * 0 * 0 52303.00 1123.00 1.6e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.13 * pksmb * -1710 J1821-1432 J1821-1432 18:21:39.7 1.5e-02 -14:32:53.2 1.9e+00 * 0 * 0 * 0 54217.70 16.628 -0.168 1.915131 8.0e-11 5.37e-15 8.0e-18 * 0 * 0 54217.70 570.00 2.0e+01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.54 * pksmb,htru_pks * - -1711 J1821+1715 J1821+1715 18:21:13.5 4.0e-03 +17:15:47.0 7.0e-02 * 0 * 0 * 0 53064.00 45.259 14.302 1.366682 1.0e-11 8.71e-16 1.1e-18 * 0 * 0 53064.00 60.28 2.5e-03 * 0 3.70 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.14 * ar4 * -1712 J1821+41 J1821+41 18:22 3.0e+00 +41:45 1.8e+01 * 0 * 0 * 0 56292.00 69.509 22.873 1.261787 4.6e-05 * 0 * 0 * 0 56292.00 40.00 3.0e+00 * 0 2.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.29 * gbncc * -1713 J1822+0705 J1822+0705 18:22:18.4 2.7e-02 +07:05:19.0 1.1e+00 * 0 * 0 * 0 51341.00 35.983 9.685 1.362817 1.9e-11 1.75e-15 3.0e-19 2.200e-27 6.1e-27 * 0 51341.00 62.20 3.0e-01 * 0 3.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * ar4 * -1714 J1822-0848 J1822-0848 18:22:51.8 8.0e-02 -08:48:59.0 1.1e+00 * 0 * 0 * 0 53115.00 21.828 2.262 2.504518 5.0e-11 4.03e-16 1.1e-17 * 0 * 0 53115.00 186.30 7.0e-01 * 0 * 0 0.04 0 BT 52672.8480 9.0e-03 286.8303 1.4e-03 97.7279 2.0e-03 272.58 1.0e-02 5.896e-02 9.0e-06 * 0 * 0 * 0 3.83 * pksmb,htru_pks * -1715 J1822-0907 J1822-0907 18:22:39.8 5.0e-02 -09:07:36 3.0e+00 * 0 * 0 * 0 52267.00 21.530 2.161 0.974700 6.0e-11 3.55e-16 3.0e-18 * 0 * 0 52267.00 467.00 5.0e+00 * 0 * 0 0.12 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.07 * pksmb,htru_pks * - -1716 J1822+1120 J1822+1120 18:22:14.6 1.0e-02 +11:20:56.2 2.0e-01 * 0 * 0 * 0 51602.00 39.870 11.571 1.787037 4.0e-11 2.35e-15 4.0e-18 * 0 * 0 51602.00 95.20 6.0e-01 * 0 0.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.77 * ar4 * -1717 J1822-1252 J1822-1252 18:22:41.7 3.0e-01 -12:52:49 2.9e+01 * 0 * 0 * 0 51809.00 18.218 0.394 2.071040 5.0e-10 8.48e-14 3.0e-17 * 0 * 0 51809.00 925.00 2.5e+01 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.38 * pksmb,htru_pks * -1718 B1820-14 J1822-1400 18:22:54.0 7.5e-03 -14:00:02.4 5.4e-01 * 0 * 0 * 0 49266.36 17.252 -0.176 0.214771 6.0e-12 9.07e-16 5.0e-20 -1.100e-26 1.7e-26 * 0 49266.36 651.10 9.0e-01 * 0 * 0 0.80 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.76 * jb2,pksmb,htru_pks * -1719 J1822-1604 J1822-1604 18:22:18.0 1.2e-01 -16:04:26.8 1.8e+00 * 0 * 0 * 0 55761.00 15.353 -1.021 8.437721 7.0e-08 2.14e-14 3.0e-15 * 0 * 0 55761.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_J1822-1606 misc AXP,NRAD -1720 J1822-1617 J1822-1617 18:22:36.6 3.0e-01 -16:17:35 2.5e+01 * 0 * 0 * 0 51932.00 15.194 -1.189 0.831156 3.0e-10 1.89e-15 1.2e-17 * 0 * 0 51932.00 647.00 1.9e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.89 * pksmb * - -1721 B1819-22 J1822-2256 18:22:58.9 8.4e-02 -22:56:31 2.9e+01 * 0 * 0 * 0 48740.00 9.349 -4.373 1.874269 6.0e-12 1.35e-15 4.0e-20 5.800e-28 1.4e-28 * 0 48740.00 121.20 4.0e-02 * 0 25.00 2.0e+00 2.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.26 * jb1,mol2,pks70,pksmb,htru_pks * -1722 J1822-4209 J1822-4209 18:22:11.3 3.0e-03 -42:09:10.9 7.0e-02 * 0 * 0 * 0 49015.00 351.883 -12.829 0.456512 4.0e-12 4.59e-16 6.0e-20 * 0 * 0 49015.00 72.51 5.0e-03 * 0 7.00 0 1.50 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.69 * pks70,pkssw,htru_pks * -1723 J1823-0154 J1823-0154 18:23:52.1 9.0e-03 -01:54:04.6 3.6e-01 * 0 * 0 * 0 50850.00 28.081 5.256 0.759777 4.0e-12 1.13e-15 4.0e-20 -1.060e-26 2.0e-27 * 0 50850.00 135.87 5.0e-02 * 0 13.00 0 0.78 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * pks70,pksmb,htru_pks * -1724 B1821+05 J1823+0550 18:23:30.9 1.1e-03 +05:50:24.3 4.0e-02 5.000 1.1e+01 -2.000 4.0e+00 * 0 48713.00 34.987 8.859 0.752907 1.0e-12 2.27e-16 9.0e-21 -5.000e-29 1.8e-28 * 0 48713.00 66.78 3.0e-03 * 0 18.00 2.0e+00 1.70 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.00 * mol2,gb3,ar4,pkssw,gb4 * -1725 B1820-11 J1823-1115 18:23:40.3 3.9e-02 -11:15:11 2.5e+00 * 0 * 0 * 0 49465.00 19.767 0.946 0.279829 5.0e-12 1.38e-15 4.0e-20 -1.870e-25 8.0e-27 * 0 49465.00 428.59 9.0e-02 * 0 11.00 2.0e+00 3.20 3.0e-01 BT 47260.5438 4.0e-04 357.7620 5.0e-05 200.6720 1.2e-03 99.17 1.1e-03 7.946e-01 7.0e-06 * 0 * 0 * 0 5.39 * jb2,pksmb,htru_pks * - -1726 J1823-1126 J1823-1126 18:23:19.8 1.0e-01 -11:26:04 5.0e+00 * 0 * 0 * 0 52331.00 19.568 0.935 1.846534 3.0e-10 3.65e-14 1.1e-16 * 0 * 0 52331.00 607.00 3.0e+00 * 0 * 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.14 * pksmb,htru_pks * -1727 J1823-1347 J1823-1347 18:23:24.2 8.0e-02 -13:47:54 9.0e+00 * 0 * 0 * 0 51481.00 17.488 -0.189 0.617107 1.2e-10 9.60e-15 3.0e-17 * 0 * 0 51481.00 1044.00 6.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.87 * pksmb,htru_pks * -1728 J1823-1526 J1823-1526 18:23:21.4 6.0e-02 -15:26:22 7.0e+00 * 0 * 0 * 0 52267.00 16.033 -0.948 1.625405 1.6e-10 4.52e-15 3.0e-17 * 0 * 0 52267.00 611.00 5.0e+00 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.24 * pksmb,htru_pks * -1729 J1823-1807 J1823-1807 18:23:09.6 7.0e-02 -18:07:33 8.0e+00 * 0 * 0 * 0 51295.00 13.636 -2.164 1.636792 1.7e-10 2.79e-16 4.0e-17 * 0 * 0 51295.00 330.00 4.0e+00 * 0 * 0 0.39 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.12 * pksmb,htru_pks * -1730 B1820-30A J1823-3021A 18:23:40.4 3.6e-04 -30:21:40.1 4.4e-02 0.310 2.4e-01 -8.200 1.7e+00 * 0 55049.00 2.788 -7.913 0.005440 3.1e-15 3.38e-18 2.0e-21 5.100e-25 3.0e-26 * 0 55049.00 86.88 5.6e-03 * 0 16.00 5.0e+00 0.72 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc,pks70,htru_pks HE[faa+11] - -1731 B1820-30B J1823-3021B 18:23:41.5 2.3e-03 -30:21:40.9 4.7e-01 * 0 * 0 * 0 55049.00 2.790 -7.917 0.378596 2.7e-12 2.99e-17 1.4e-18 7.200e-27 1.3e-27 * 0 55049.00 87.01 1.0e-01 * 0 2.20 2.0e-01 0.07 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc,htru_pks * -1732 J1823-3021C J1823-3021C 18:23:41.1 3.6e-03 -30:21:38.4 8.0e-01 * 0 * 0 * 0 55049.00 2.790 -7.915 0.405936 5.3e-12 2.24e-16 2.5e-18 * 0 * 0 55049.00 86.88 2.4e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * -1733 J1823-3021D J1823-3021D 18:23:40.5 7.1e-03 -30:21:43.6 3.5e-01 * 0 * 0 * 0 55050.00 2.787 -7.914 0.003020 5.9e-14 * 0 * 0 * 0 55050.00 86.80 1.1e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * -1734 J1823-3021E J1823-3021E 18:23:40.5 0 -30:21:40.2 0 * 0 * 0 * 0 54100.00 2.788 -7.913 0.004394 0 * 0 * 0 * 0 54100.00 91.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * -1735 J1823-3021F J1823-3021F 18:23:40.5 0 -30:21:40.2 0 * 0 * 0 * 0 54100.00 2.788 -7.913 0.004850 0 * 0 * 0 * 0 54100.00 86.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.10 GC:NGC6624 misc * - -1736 B1820-31 J1823-3106 18:23:46.7 1.2e-03 -31:06:49.7 1.1e-01 * 0 * 0 * 0 50093.00 2.120 -8.273 0.284054 5.0e-12 2.93e-15 4.0e-20 -2.010e-25 9.0e-27 * 0 50093.00 50.24 4.0e-03 * 0 36.00 4.0e+00 2.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * mol2,pks70,pkssw,htru_pks * -1737 J1824-0127 J1824-0127 18:24:53.4 4.0e-02 -01:27:51.4 1.8e+00 * 0 * 0 * 0 53040.00 28.588 5.231 2.499468 1.1e-10 3.91e-15 1.1e-17 * 0 * 0 53040.00 58.00 1.5e+00 * 0 * 0 0.59 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.87 * pksmb * -1738 J1824+10 J1824+10 18:24:05 6.1e+01 +10:17 1.5e+01 * 0 * 0 * 0 57022.00 39.093 10.700 0.004070 0 * 0 * 0 * 0 57022.00 60.00 0 * 0 * 0 * 0 BT * 0 82.5000 0 35.0000 0 * 0 * 0 * 0 * 0 * 0 2.93 GRS:3FGL_J1824.0+1017[cck+16] FermiAssoc * -1739 B1821-11 J1824-1118 18:24:29.5 7.3e-03 -11:18:42.6 5.0e-01 * 0 * 0 * 0 49480.00 19.809 0.741 0.435759 1.8e-11 3.55e-15 1.4e-19 4.000e-27 1.3e-26 * 0 49480.00 603.00 2.0e+00 * 0 * 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.01 * jb2,pksmb,htru_pks * -1740 J1824-1159 J1824-1159 18:24:56.1 1.2e-02 -11:59:53.4 1.3e+00 * 0 * 0 * 0 51495.00 19.253 0.324 0.362492 8.0e-12 5.38e-15 2.0e-18 * 0 * 0 51495.00 463.40 2.4e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 * pksmb,htru_pks * - -1741 J1824-1350 J1824-1350 18:24:50.1 1.7e-02 -13:50:21.0 1.6e+00 * 0 * 0 * 0 56612.00 17.614 -0.515 1.396599 4.0e-11 6.07e-16 7.0e-20 * 0 * 0 56612.00 551.00 7.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.70 * htru_pks * -1742 J1824-1423 J1824-1423 18:24:57.3 7.0e-03 -14:23:05.3 1.1e+00 * 0 * 0 * 0 51719.00 17.146 -0.796 0.359394 6.0e-12 3.92e-16 1.9e-18 * 0 * 0 51719.00 428.30 1.1e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.56 * pksmb,htru_pks * -1743 J1824-1500 J1824-1500 18:24:14.1 7.0e-02 -15:00:33 8.0e+00 * 0 * 0 * 0 52265.00 16.512 -0.934 0.412230 6.0e-11 7.58e-16 1.1e-17 * 0 * 0 52265.00 571.00 6.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.04 * pksmb,htru_pks * -1744 B1821-19 J1824-1945 18:24:00.4 1.3e-03 -19:45:51.7 2.5e-01 -12.000 1.4e+01 -100.000 2.2e+02 * 0 49877.00 12.279 -3.106 0.189335 1.5e-11 5.23e-15 1.1e-19 5.200e-26 6.2e-26 * 0 49877.00 224.38 6.0e-02 -0.011 2.0e-03 71.00 6.0e+00 4.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.70 * mol2,pks1,pks70,pksmb,htru_pks * -1745 J1824-2233 J1824-2233 18:24:10.3 5.0e-02 -22:33:11 1.6e+01 * 0 * 0 * 0 53165.00 9.822 -4.435 1.161743 3.0e-11 3.01e-16 3.0e-18 * 0 * 0 53165.00 156.50 1.2e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * pksmb,htru_pks * - -1746 J1824-2328 J1824-2328 18:24:28.6 1.9e-01 -23:28:17 6.1e+01 * 0 * 0 * 0 53111.00 9.037 -4.922 1.505875 3.0e-11 1.74e-15 3.0e-18 * 0 * 0 53111.00 185.00 3.0e+00 * 0 * 0 0.32 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.86 * pksmb,htru_pks * -1747 B1821-24A J1824-2452A 18:24:32.0 3.0e-05 -24:52:10.8 8.0e-03 -0.690 1.3e-01 * 0 * 0 54500.00 7.797 -5.578 0.003054 3.0e-16 1.62e-18 7.0e-24 * 0 * 0 54500.00 119.89 0 0.001 8.0e-05 40.00 0 2.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bsp+03] misc,pksmb HE[skk+97,bvs+11] -1748 J1824-2452B J1824-2452B 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.006547 0 * 0 * 0 * 0 54100.00 119.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626) misc * -1749 J1824-2452C J1824-2452C 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004159 0 * 0 * 0 * 0 54100.00 120.70 0 * 0 * 0 * 0 BT * 0 8.0780 0 7.3560 0 * 0 8.470e-01 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1750 J1824-2452D J1824-2452D 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.079832 0 * 0 * 0 * 0 54100.00 119.50 0 * 0 * 0 * 0 BT * 0 30.4040 0 24.8770 0 * 0 7.760e-01 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * - -1751 J1824-2452E J1824-2452E 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.005420 0 * 0 * 0 * 0 54100.00 119.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:(?)[bvs+11] misc * -1752 J1824-2452F J1824-2452F 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.002451 0 * 0 * 0 * 0 54100.00 123.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1753 J1824-2452G J1824-2452G 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.005909 0 * 0 * 0 * 0 54100.00 119.40 0 * 0 * 0 * 0 BT * 0 0.1046 0 0.0165 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:(?)[bvs+11] misc * -1754 J1824-2452H J1824-2452H 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004629 0 * 0 * 0 * 0 54100.00 121.50 0 * 0 * 0 * 0 BT * 0 0.4350 0 0.7195 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),OPT:COM-M28H[pdf+10],XRS misc * -1755 J1824-2452I J1824-2452I 18:24:32.5 4.0e-02 -24:52:08.6 6.0e-01 * 0 * 0 * 0 56386.00 7.798 -5.579 0.003932 2.0e-12 0.00e+00 1.3e-17 * 0 * 0 56386.00 119.00 0 * 0 * 0 * 0 BT * 0 0.4594 8.0e-08 0.7659 1.0e-05 * 0 0.000e+00 1.0e-04 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:IGR_J18245-2452[pfb+ misc HE - -1756 J1824-2452J J1824-2452J 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004039 0 * 0 * 0 * 0 54100.00 119.20 0 * 0 * 0 * 0 BT * 0 0.0974 0 0.0250 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1757 J1824-2452K J1824-2452K 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004461 0 * 0 * 0 * 0 54100.00 119.80 0 * 0 * 0 * 0 BT * 0 3.9103 0 2.6050 0 * 0 1.524e-03 4.0e-06 * 0 * 0 * 0 5.50 GC:M28(NGC6626),XRS:[bvs+11] misc * -1758 J1824-2452L J1824-2452L 18:24:32.8 0 -24:52:11.2 0 * 0 * 0 * 0 54100.00 7.798 -5.580 0.004100 0 * 0 * 0 * 0 54100.00 119.00 0 * 0 * 0 * 0 BT * 0 0.2257 0 0.0570 0 * 0 0.000e+00 0 * 0 * 0 * 0 5.50 GC:M28(NGC6626) misc * -1759 J1824-2537 J1824-2537 18:24:30.5 1.0e-02 -25:37:19 2.0e+00 * 0 * 0 * 0 53000.00 7.123 -5.918 0.223320 3.0e-12 4.40e-16 8.0e-20 * 0 * 0 53000.00 158.50 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.30 * pkssw,htru_pks * -1760 B1822+00 J1825+0004 18:25:15.3 2.4e-03 +00:04:19.7 1.1e-01 * 0 * 0 * 0 49719.00 30.001 5.856 0.778949 5.0e-12 8.76e-16 5.0e-20 -1.340e-26 1.5e-27 * 0 49719.00 56.62 9.0e-03 * 0 8.00 2.0e+00 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.86 * gb2,pks70,pkssw,htru_pks * - -1761 J1825-0319 J1825-0319 18:25:55.9 5.0e-04 -03:19:57.5 1.5e-02 * 0 * 0 * 0 55784.00 27.045 4.138 0.004554 4.0e-15 6.80e-21 3.0e-22 * 0 * 0 55784.00 119.50 4.0e-01 * 0 * 0 0.20 6.0e-02 BT 55805.0600 5.0e-02 52.6305 1.6e-06 18.2664 1.1e-05 93.20 4.0e-01 1.939e-04 1.2e-06 * 0 * 0 * 0 3.86 * htru_pks * -1762 B1822-09 J1825-0935 18:25:30.6 6.0e-03 -09:35:22.3 3.0e-01 -13.000 1.1e+01 -9.000 5.0e+00 * 0 53300.00 21.449 1.324 0.769006 1.2e-11 5.25e-14 1.2e-18 -2.800e-24 1.0e-25 * 0 54262.00 19.38 9.0e-04 * 0 36.00 3.0e+00 12.00 1.2e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 XRS:[pb15] jb1,mol2,gb2,pks70,pksmb,htru_pks * -1763 J1825-1108 J1825-1108 18:25:18.3 2.0e-01 -11:08:54 1.2e+01 * 0 * 0 * 0 56783.00 20.047 0.641 1.925872 8.0e-10 1.90e-15 6.0e-19 * 0 * 0 56783.00 121.00 1.9e+01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * htru_pks * -1764 B1822-14 J1825-1446 18:25:02.9 2.0e-05 -14:46:53.2 2.6e-04 11.070 1.0e-01 -27.610 1.0e-01 * 0 55854.70 16.805 -1.001 0.279187 5.0e-12 2.27e-14 4.0e-20 2.240e-25 9.0e-27 * 0 49480.00 352.23 4.0e-02 * 0 * 0 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.44 * jb2,pks1,pksmb,htru_pks * -1765 J1825-31 J1825-31 18:25:58 0 -31:02:20 0 * 0 * 0 * 0 55561.00 2.400 -8.658 2.382000 0 * 0 * 0 * 0 55561.00 120.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.83 * htru_pks * - -1766 J1825-33 J1825-33 18:26:02 5.0e+01 -33:21 1.5e+01 * 0 * 0 * 0 54831.00 0.309 -9.697 1.271200 2.0e-04 * 0 * 0 * 0 54831.00 43.20 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.24 * pkssw RRAT -1767 B1823-11 J1826-1131 18:26:05.4 1.2e-02 -11:31:43.6 1.1e+00 * 0 * 0 * 0 49464.00 19.800 0.293 2.093136 1.4e-11 4.91e-15 1.4e-19 6.900e-27 4.0e-28 * 0 49464.00 320.58 6.0e-02 * 0 5.00 0 0.71 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * jb2,pksmb,htru_pks * -1768 J1826-1256 J1826-1256 18:26:08.5 1.0e-02 -12:56:33.0 5.0e-01 * 0 * 0 * 0 54934.00 18.556 -0.377 0.110224 4.0e-12 1.21e-13 1.3e-19 1.850e-22 5.0e-24 * 0 54934.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.55 GRS:2FGL_J1826.1-1256[naa+12],XRS:AXJ182 FermiBlind NRAD -1769 B1823-13 J1826-1334 18:26:13.1 3.0e-03 -13:34:46.8 1.0e-01 23.000 2.5e+00 -3.900 3.1e+00 * 0 52400.00 18.001 -0.691 0.101487 3.0e-13 7.53e-14 1.0e-20 2.809e-22 9.0e-26 * 0 54200.00 231.00 1.0e+00 * 0 * 0 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.61 GRS:J1825-137[aab+06],XRS:PWN:G18.0-0.7[ jb2,pks1,pksmb,htru_pks HE -1770 J1826-1419 J1826-1419 18:26:42.3 4.0e-03 -14:19:21.6 3.0e-01 * 0 * 0 * 0 54053.00 17.398 -1.142 0.770620 7.0e-12 8.78e-15 2.0e-19 * 0 * 0 54053.00 160.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.24 * pksmb RRAT - -1771 J1826-1526 J1826-1526 18:26:12.6 3.0e-02 -15:26:03 5.0e+00 * 0 * 0 * 0 51720.00 16.358 -1.553 0.382073 1.7e-11 1.08e-15 8.0e-18 * 0 * 0 51720.00 530.00 4.0e+00 * 0 * 0 0.46 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.86 * pksmb,htru_pks * -1772 J1827-0750 J1827-0750 18:27:02.7 6.0e-03 -07:50:19.2 6.0e-01 * 0 * 0 * 0 53223.00 23.176 1.803 0.270502 3.0e-12 1.54e-15 8.0e-19 * 0 * 0 53223.00 381.00 9.0e+00 * 0 * 0 2.70 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.98 * pksmb,htru_pks * -1773 J1827-0934 J1827-0934 18:27:45.8 1.6e-02 -09:34:16.4 1.3e+00 * 0 * 0 * 0 51491.00 21.724 0.841 0.512548 1.6e-11 7.23e-15 4.0e-18 * 0 * 0 51491.00 259.20 5.0e-01 * 0 * 0 0.29 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * pksmb,htru_pks * -1774 B1824-10 J1827-0958 18:27:05.4 1.2e-02 -09:58:43.1 7.2e-01 * 0 * 0 * 0 49480.00 21.286 0.798 0.245757 1.9e-12 1.00e-15 1.1e-20 -5.700e-26 4.0e-27 * 0 49480.00 430.00 4.0e+00 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * jb2,pksmb,htru_pks * -1775 J1827-1446 J1827-1446 18:27:24.6 5.0e-02 -14:46:28 4.0e+00 * 0 * 0 * 0 55716.00 17.077 -1.503 0.499187 3.0e-11 4.53e-14 8.0e-19 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1827.3-1446[aaa+15] FermiBlind NRAD - -1776 J1828-0611 J1828-0611 18:28:20.7 6.0e-03 -06:11:51.5 4.0e-01 * 0 * 0 * 0 52045.00 24.780 2.279 0.269415 3.0e-12 1.46e-15 3.0e-19 * 0 * 0 52045.00 363.20 5.0e-01 * 0 * 0 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.12 * pksmb,htru_pks * -1777 J1828+0625 J1828+0625 18:28:28.0 7.0e-02 +06:25:00.5 1.3e+00 * 0 * 0 * 0 55561.00 36.065 8.016 0.003630 0 * 0 * 0 * 0 55561.00 22.40 0 * 0 * 0 * 0 BT * 0 6.0000 0 * 0 * 0 * 0 * 0 * 0 * 0 1.00 GRS:2FGL_J1830.1+0617[naa+12] FermiAssoc * -1778 J1828-1007 J1828-1007 18:28:30.3 1.5e-02 -10:07:10.1 1.0e+00 * 0 * 0 * 0 51837.00 21.324 0.424 0.153197 1.5e-12 6.13e-16 1.2e-19 * 0 * 0 51837.00 302.60 1.2e+00 * 0 * 0 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * pksmb,htru_pks * -1779 J1828-1057 J1828-1057 18:28:33.2 4.0e-02 -10:57:26 3.0e+00 * 0 * 0 * 0 52166.00 20.587 0.025 0.246328 1.2e-11 2.07e-14 1.9e-18 * 0 * 0 52166.00 249.00 2.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.65 * pksmb,htru_pks * -1780 J1828-1101 J1828-1101 18:28:18.8 9.0e-03 -11:01:50.9 8.0e-01 * 0 * 0 * 0 51531.00 20.495 0.042 0.072052 3.0e-12 1.48e-14 1.0e-19 -1.600e-23 3.0e-24 * 0 51531.00 605.00 1.0e-01 * 0 * 0 2.90 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * pksmb,htru_pks HE[lsg+15] - -1781 J1828-1336 J1828-1336 18:28:42.8 4.0e-02 -13:36:45 5.0e+00 * 0 * 0 * 0 51495.00 18.254 -1.243 0.860332 7.0e-11 9.95e-16 1.5e-17 * 0 * 0 51495.00 494.70 1.8e+00 * 0 * 0 0.26 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.87 * pksmb,htru_pks * -1782 J1828+1359 J1828+1359 18:28:53.3 2.0e-03 +13:59:35.3 1.3e-01 * 0 * 0 * 0 51500.00 43.017 11.250 0.741640 8.0e-12 7.29e-16 2.0e-19 * 0 * 0 51500.00 56.00 1.0e+00 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.75 * misc * -1783 J1828-2119 J1828-2119 18:28:21.5 5.0e-02 -21:19:56 1.1e+01 * 0 * 0 * 0 53035.00 11.358 -4.734 0.514523 1.4e-11 1.27e-15 1.4e-18 * 0 * 0 53035.00 268.00 6.0e-01 * 0 * 0 0.38 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 17.93 * pksmb,htru_pks * -1784 J1829+0000 J1829+0000 18:29:47.1 3.0e-02 +00:00:08.5 1.1e+00 * 0 * 0 * 0 53112.00 30.460 4.817 0.199147 8.0e-12 5.25e-16 8.0e-19 * 0 * 0 53112.00 114.00 4.0e-01 * 0 * 0 0.54 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.27 * pksmb,palfa * -1785 J1829-0734 J1829-0734 18:29:05.3 4.0e-02 -07:34:22 3.0e+00 * 0 * 0 * 0 51947.00 23.647 1.478 0.318401 1.8e-11 4.79e-15 9.0e-18 * 0 * 0 51947.00 316.80 1.8e+00 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * pksmb,htru_pks * - -1786 J1829-1011 J1829-1011 18:29:06.0 4.0e-02 -10:11:25 4.0e+00 * 0 * 0 * 0 56755.00 21.329 0.262 0.829166 1.6e-10 -5.00e-18 3.9e-18 * 0 * 0 56755.00 610.00 0 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.94 * htru_pks * -1787 B1826-17 J1829-1751 18:29:43.1 2.0e-03 -17:51:03.9 2.9e-01 22.000 1.3e+01 -150.000 1.3e+02 * 0 49878.00 14.604 -3.418 0.307133 5.0e-12 5.55e-15 5.0e-20 3.300e-26 9.0e-27 * 0 49878.00 217.11 9.0e-03 * 0 78.00 5.0e+00 7.70 8.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * jb1,mol2,gb3,pks1,pks70,pksmb,htru_ * -1788 J1829+2456 J1829+2456 18:29:34.6 2.0e-04 +24:56:18.1 3.0e-03 * 0 * 0 * 0 52887.00 53.343 15.612 0.041010 4.0e-14 5.25e-20 1.5e-21 * 0 * 0 52887.00 13.80 5.0e-01 * 0 0.30 1.0e-01 * 0 BT 52848.5798 3.0e-06 1.1760 1.6e-08 7.2380 2.0e-03 229.92 2.0e-02 1.391e-01 1.9e-06 * 0 * 0 * 0 0.91 * ar4 * -1789 J1830-0052 J1830-0052 18:30:30.7 5.0e-02 -00:52:54.0 1.5e+00 * 0 * 0 * 0 53276.00 29.755 4.251 0.345698 5.0e-11 2.37e-16 8.0e-18 * 0 * 0 53276.00 220.40 9.0e-01 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.25 * pksmb * -1790 J1830-0131 J1830-0131 18:30:19.6 1.2e-02 -01:31:48.1 6.0e-01 * 0 * 0 * 0 53095.00 29.156 3.994 0.457536 1.1e-11 6.32e-15 1.1e-18 * 0 * 0 53095.00 95.70 3.0e-01 * 0 * 0 0.35 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * pksmb,htru_pks * - -1791 J1830-10 J1830-10 18:30:06 3.0e+01 -10:39 7.0e+00 * 0 * 0 * 0 56657.00 21.036 -0.169 0.245260 3.0e-06 * 0 * 0 * 0 56657.00 203.00 2.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * htru_pks * -1792 B1828-11 J1830-1059 18:30:47.5 9.8e-03 -10:59:27.9 5.4e-01 * 0 * 0 * 0 49621.00 20.812 -0.478 0.405043 1.2e-11 6.00e-14 9.0e-20 8.720e-25 9.0e-27 * 0 49621.00 159.70 1.0e-02 * 0 2.10 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * jb2,pksmb,htru_pks * -1793 J1830-1135 J1830-1135 18:30:01.7 6.0e-02 -11:35:32 6.0e+00 * 0 * 0 * 0 51563.00 20.193 -0.590 6.221553 1.6e-09 4.77e-14 6.0e-17 7.000e-26 3.0e-25 * 0 51563.00 257.00 6.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.76 * pksmb,htru_pks * -1794 J1830-1313 J1830-1313 18:30:41.9 2.0e-02 -13:13:16.2 4.5e+00 * 0 * 0 * 0 54211.70 18.824 -1.490 0.747188 8.0e-11 1.71e-15 1.7e-17 * 0 * 0 54211.70 537.00 3.0e+00 * 0 * 0 0.26 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.63 * pksmb,htru_pks * -1795 J1830-1414 J1830-1414 18:30:00.3 4.0e-02 -14:14:37 4.0e+00 * 0 * 0 * 0 52265.00 17.839 -1.813 0.771493 6.0e-11 7.62e-17 1.1e-17 * 0 * 0 52265.00 393.60 1.4e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.08 * pksmb * - -1796 J1831-0823 J1831-0823 18:31:36.3 8.0e-03 -08:23:23.9 5.0e-01 * 0 * 0 * 0 51763.00 23.211 0.548 0.612133 1.5e-11 3.09e-16 1.2e-18 * 0 * 0 51763.00 245.90 1.7e+00 * 0 * 0 0.97 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.89 * pksmb,htru_pks * -1797 J1831-0952 J1831-0952 18:31:34.3 1.6e-02 -09:52:01.7 1.1e+00 * 0 * 0 * 0 52412.00 21.897 -0.128 0.067267 1.4e-12 8.32e-15 3.0e-20 1.240e-23 3.0e-25 * 0 52412.00 247.00 5.0e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * pksmb,htru_pks HE[lsg+15] -1798 J1831-1223 J1831-1223 18:31:12.8 1.0e-01 -12:23:31 1.1e+01 * 0 * 0 * 0 51704.00 19.618 -1.217 2.857941 6.0e-10 5.47e-15 3.0e-16 * 0 * 0 51704.00 342.00 5.0e+00 * 0 * 0 1.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * pksmb,htru_pks * -1799 J1831-1329 J1831-1329 18:31:55.9 6.0e-02 -13:29:56 8.0e+00 * 0 * 0 * 0 51494.00 18.716 -1.884 2.165679 3.0e-10 2.99e-15 6.0e-17 * 0 * 0 51494.00 338.00 5.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * pksmb,htru_pks * -1800 J1831-1423 J1831-1423 18:31:29.1 3.0e-02 -14:23:46 4.0e+00 * 0 * 0 * 0 52109.00 17.870 -2.201 0.507945 1.3e-11 1.09e-15 1.1e-18 * 0 * 0 52109.00 352.00 3.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.12 * pksmb * - -1801 J1832+0029 J1832+0029 18:32:50.7 3.0e-01 +00:29:27 1.8e+01 * 0 * 0 * 0 53344.00 31.247 4.360 0.533917 6.0e-09 1.51e-15 2.0e-16 * 0 * 0 53344.00 28.30 1.2e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.04 * pksmb * -1802 J1832-0644 J1832-0644 18:32:42.6 5.0e-02 -06:44:01.8 2.8e+00 * 0 * 0 * 0 51489.00 24.806 1.070 0.744295 5.0e-11 3.71e-14 1.7e-17 * 0 * 0 51489.00 578.00 7.0e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.37 * pksmb,htru_pks * -1803 B1829-08 J1832-0827 18:32:37.0 1.2e-03 -08:27:03.6 6.1e-02 -4.000 4.0e+00 20.000 1.5e+01 * 0 49442.00 23.272 0.298 0.647293 3.0e-11 6.39e-14 3.0e-19 1.900e-26 1.1e-26 * 0 49442.00 300.87 1.0e-02 * 0 9.40 8.0e-01 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.20 * jb2,pksmb,htru_pks * -1804 J1832-0836 J1832-0836 18:32:27.5 2.7e-06 -08:36:55.0 1.8e-04 * 0 * 0 0.350 1.5e-01 56862.00 23.109 0.257 0.002719 8.0e-18 8.27e-21 8.0e-25 * 0 * 0 56862.00 28.19 9.0e-05 * 0 * 0 1.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.81 XRS:[pb15] htru_pks * -1805 B1829-10 J1832-1021 18:32:40.8 2.0e-03 -10:21:32.7 1.4e-01 * 0 * 0 * 0 49459.00 21.587 -0.597 0.330354 5.0e-12 4.20e-15 5.0e-20 2.000e-25 7.0e-27 * 0 49459.00 475.70 3.0e-01 * 0 3.40 5.0e-01 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 * jb2,pks70,pksmb,htru_pks * - -1806 J1832-28 J1832-28 18:32:30 2.0e+01 -28:43 5.0e+00 * 0 * 0 * 0 51064.30 5.142 -8.897 0.199300 3.0e-06 * 0 * 0 * 0 51064.30 127.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.17 * pkssw * -1807 J1833-0209 J1833-0209 18:33:05.4 8.0e-03 -02:09:16.4 3.0e-01 * 0 * 0 * 0 56614.00 28.918 3.094 0.291931 4.0e-12 2.75e-15 7.0e-19 * 0 * 0 56614.00 325.40 0 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.33 * htru_pks * -1808 B1831-03 J1833-0338 18:33:41.9 3.7e-03 -03:39:04.3 1.8e-01 * 0 * 0 * 0 49698.00 27.657 2.272 0.686704 4.0e-11 4.16e-14 3.0e-19 1.430e-25 1.1e-26 * 0 49698.00 234.54 1.3e-02 * 0 89.00 5.0e+00 2.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.17 * jb1,mol2,gb3,pks70,pksmb,htru_pks * -1809 J1833-0556 J1833-0556 18:33:38.8 1.6e-01 -05:56:05 9.0e+00 * 0 * 0 * 0 52166.00 25.623 1.232 1.521545 4.0e-10 1.28e-15 5.0e-17 * 0 * 0 52166.00 461.00 1.3e+01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.38 * pksmb * -1810 J1833-0559 J1833-0559 18:33:07.6 5.0e-02 -05:59:25 5.0e+00 * 0 * 0 * 0 51719.00 25.514 1.321 0.483459 5.0e-11 1.23e-14 3.0e-17 * 0 * 0 51719.00 353.00 6.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.12 * pksmb,htru_pks * - -1811 B1830-08 J1833-0827 18:33:40.3 9.6e-04 -08:27:31.2 5.0e-02 * 0 * 0 * 0 50483.00 23.386 0.063 0.085284 5.0e-13 9.17e-15 3.0e-21 -1.301e-24 1.3e-26 * 0 50483.00 410.95 1.0e-01 -0.130 2.0e-02 * 0 3.60 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 XRS:PWN[eit+11] jb2,pksmb,htru_pks * -1812 J1833-0831 J1833-0831 18:33:44.3 3.0e-02 -08:31:07.7 4.0e-01 * 0 * 0 * 0 55274.00 23.340 0.020 7.565408 5.0e-07 3.43e-12 3.0e-13 -1.300e-20 2.0e-21 9.000e-28 2.0e-28 55274.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:SGR_1833-0832 misc AXP,NRAD -1813 J1833-1034 J1833-1034 18:33:33.5 2.0e-02 -10:34:07.5 3.0e-01 * 0 * 0 * 0 54575.00 21.501 -0.885 0.061884 1.2e-13 2.02e-13 4.0e-21 3.197e-22 1.0e-25 * 0 54575.00 169.50 1.0e-01 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 SNR:G21.5-0.9[gmga05],GRS:2FGL_J1833.6-1 misc HE -1814 J1833-1055 J1833-1055 18:33:58.4 3.0e-02 -10:55:31 3.0e+00 * 0 * 0 * 0 51360.00 21.231 -1.140 0.633640 3.0e-11 5.27e-16 4.0e-18 * 0 * 0 51360.00 543.00 4.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.70 * pksmb,htru_pks * -1815 B1828-60 J1833-6023 18:33:14.8 4.0e-01 -60:23:04 4.0e+00 * 0 * 0 * 0 43558.87 334.827 -21.195 1.889436 1.7e-09 2.70e-16 8.0e-17 * 0 * 0 43558.87 35.00 6.0e+00 * 0 5.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.34 * mol2,pks70,pkssw * - -1816 B1831-00 J1834-0010 18:34:17.2 4.0e-02 -00:10:53.3 1.8e+00 * 0 * 0 * 0 49123.00 30.812 3.732 0.520954 1.1e-11 1.05e-17 1.4e-19 -3.200e-28 1.0e-26 * 0 49123.00 88.65 1.5e-01 * 0 5.10 0 0.29 4.0e-02 ELL1 * 0 1.8111 9.0e-07 0.7227 1.0e-03 63.43 0.0e+00 4.472e-03 0.0e+00 46458.0289 1.7e-03 4.000e-03 4.0e-06 2.000e-03 6.0e-06 3.35 * gb2,pksmb * -1817 J1834-0031 J1834-0031 18:34:51.0 1.4e-02 -00:31:34.3 6.0e-01 * 0 * 0 * 0 53030.00 30.570 3.449 0.329532 6.0e-12 4.49e-16 6.0e-19 * 0 * 0 53030.00 155.10 6.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.68 * pksmb * -1818 B1831-04 J1834-0426 18:34:25.6 2.4e-03 -04:26:15.8 1.4e-01 * 0 * 0 * 0 49714.00 27.042 1.749 0.290108 7.0e-13 7.19e-17 6.0e-21 1.630e-26 1.3e-27 * 0 49714.00 79.31 8.0e-03 * 0 77.00 8.0e+00 5.00 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.49 * jb1,mol2,gb2,gb3,pks70,pksmb,htru_p * -1819 J1834-0602 J1834-0602 18:34:37.9 3.0e-02 -06:02:35 3.0e+00 * 0 * 0 * 0 51704.00 25.640 0.965 0.487914 3.0e-11 1.83e-15 1.0e-17 * 0 * 0 51704.00 445.00 4.0e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * pksmb,htru_pks * -1820 J1834-0633 J1834-0633 18:34:29.2 1.5e-01 -06:33:01.1 6.3e+00 * 0 * 0 * 0 52333.00 25.173 0.763 0.317315 7.0e-11 6.04e-16 4.0e-17 * 0 * 0 52333.00 707.00 9.0e+00 * 0 * 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.29 * pksmb,htru_pks * - -1821 J1834-0731 J1834-0731 18:34:16.0 7.0e-02 -07:31:07 4.0e+00 * 0 * 0 * 0 52323.00 24.288 0.366 0.512980 4.0e-11 5.82e-14 3.0e-17 * 0 * 0 52323.00 294.00 9.0e-01 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 * pksmb,htru_pks * -1822 J1834-0742 J1834-0742 18:34:31.3 3.0e-02 -07:42:20.6 1.4e+00 * 0 * 0 * 0 52145.00 24.151 0.223 0.788354 1.9e-11 3.25e-14 9.0e-19 * 0 * 0 52145.00 552.00 1.8e+01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * pksmb,htru_pks * -1823 J1834-0812 J1834-0812 18:34:29.8 9.0e-01 -08:12:00 1.0e+02 * 0 * 0 * 0 55253.34 23.709 0.001 0.491142 2.0e-10 9.96e-15 7.0e-17 * 0 * 0 55253.34 1020.00 5.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.95 * misc * -1824 J1834-0845 J1834-0845 18:34:52.1 4.0e-02 -08:45:56.0 6.0e-01 * 0 * 0 * 0 55783.00 23.250 -0.341 2.482302 1.0e-07 7.96e-12 1.2e-13 * 0 * 0 55783.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:CXOU_J183452.1-084556,SNR:W41(?),HES misc AXP,NRAD -1825 J1834-09 J1834-09 18:34:36 3.0e+01 -09:15 7.0e+00 * 0 * 0 * 0 56657.00 22.789 -0.505 0.512327 1.0e-06 * 0 * 0 * 0 56657.00 529.00 7.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.86 * htru_pks * - -1826 J1834+10 J1834+10 18:34:27 1.6e+01 +10:44 5.0e+00 * 0 * 0 * 0 49717.00 40.638 8.608 1.172719 3.0e-06 * 0 * 0 * 0 49717.00 78.48 2.4e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * ar4 * -1827 J1834-1202 J1834-1202 18:34:23.1 3.0e-02 -12:02:26.4 1.3e+00 * 0 * 0 * 0 52366.00 20.287 -1.743 0.610259 1.2e-11 6.74e-18 3.0e-19 * 0 * 0 52366.00 342.40 1.3e+00 * 0 * 0 0.70 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.11 * pksmb,htru_pks * -1828 J1834-1710 J1834-1710 18:34:53.4 6.0e-03 -17:10:50 2.0e+00 * 0 * 0 * 0 51892.00 15.768 -4.206 0.358306 6.0e-12 4.69e-17 1.2e-18 * 0 * 0 51892.00 123.80 5.0e-01 * 0 * 0 1.00 1.1e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.41 * pksmb,htru_pks * -1829 J1834-1855 J1834-1855 18:34:45.9 5.0e-02 -18:55:59 6.0e+00 * 0 * 0 * 0 53108.00 14.189 -4.977 1.465656 7.0e-11 1.93e-15 9.0e-18 * 0 * 0 53108.00 185.20 1.2e+00 * 0 * 0 0.39 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.12 * pksmb,htru_pks * -1830 J1835-0114 J1835-0114 18:35:21.9 9.0e-04 -01:14:33.6 2.0e-02 * 0 * 0 * 0 54786.80 29.990 3.007 0.005116 1.2e-14 7.00e-21 4.0e-21 * 0 * 0 54786.80 98.00 1.0e+00 * 0 * 0 0.10 1.0e-02 BT 54540.7000 3.0e-01 6.6925 4.0e-07 4.6544 7.0e-06 -3.00 1.0e+00 1.100e-05 3.0e-06 * 0 * 0 * 0 3.45 * pksmb * - -1831 J1835-0349 J1835-0349 18:35:12.9 1.2e-02 -03:49:09.9 9.0e-01 * 0 * 0 * 0 53125.00 27.681 1.858 0.841865 4.0e-11 3.06e-15 4.0e-18 * 0 * 0 53125.00 269.60 7.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.51 * pksmb * -1832 J1835-0522 J1835-0522 18:35:08.1 5.0e-02 -05:22:08 3.0e+00 * 0 * 0 * 0 52331.00 26.296 1.164 1.087749 8.0e-11 4.73e-16 4.0e-17 * 0 * 0 52331.00 456.00 4.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.77 * pksmb * -1833 B1832-06 J1835-0643 18:35:05.5 1.2e-02 -06:43:06.4 5.7e-01 * 0 * 0 * 0 49533.00 25.093 0.552 0.305830 1.7e-11 4.05e-14 1.5e-19 8.700e-25 3.0e-26 * 0 49533.00 467.90 4.0e-01 * 0 * 0 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * jb2,pksmb,htru_pks * -1834 J1835-0924 J1835-0924 18:35:38.0 1.2e-01 -09:24:27 1.3e+01 * 0 * 0 * 0 51720.00 22.767 -0.804 0.859192 3.0e-10 2.14e-14 9.0e-17 * 0 * 0 51720.00 471.00 7.0e+00 * 0 * 0 0.55 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.03 * pksmb,htru_pks * -1835 J1835-09242 J1835-09242 18:35:21.8 1.6e-02 -09:24:15.9 1.0e+00 * 0 * 0 * 0 56394.00 22.739 -0.744 0.235249 4.0e-12 1.18e-17 3.0e-20 * 0 * 0 56394.00 500.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.05 * htru_pks * - -1836 J1835-0928 J1835-0928 18:35:22.2 3.0e-02 -09:28:02 2.0e+00 * 0 * 0 * 0 56395.00 22.684 -0.774 0.621734 3.0e-11 9.69e-16 2.0e-20 * 0 * 0 56395.00 450.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.87 * htru_pks * -1837 J1835-0944 J1835-0944 18:35:46.6 9.0e-02 -09:44:29 3.0e+00 * 0 * 0 * 0 53663.90 22.486 -0.989 0.145347 1.5e-11 4.39e-15 1.3e-17 * 0 * 0 53663.90 276.20 1.0e-01 * 0 * 0 0.41 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.22 * pksmb,htru_pks * -1838 J1835-0946 J1835-0946 18:35:44.8 9.0e-02 -09:46:38 3.0e+00 * 0 * 0 * 0 53663.00 22.451 -0.999 0.379536 5.0e-11 4.32e-17 3.1e-17 * 0 * 0 53663.00 193.30 5.0e-01 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.63 * pksmb,htru_pks * -1839 J1835-1020 J1835-1020 18:35:57.5 1.0e-03 -10:20:04.5 6.0e-02 25.000 5.0e+00 4.000 2.1e+01 * 0 54369.00 21.980 -1.302 0.302450 1.5e-11 5.92e-15 1.9e-19 * 0 * 0 54369.00 113.70 9.0e-01 * 0 * 0 1.96 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * pksmb,htru_pks * -1840 J1835-1106 J1835-1106 18:35:18.2 2.0e-03 -11:06:15.1 2.0e-01 27.000 4.6e+01 56.000 1.9e+02 * 0 49445.70 21.222 -1.512 0.165907 2.0e-13 2.06e-14 8.0e-21 * 0 * 0 49445.70 132.68 3.0e-03 * 0 30.00 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * pks70,pksmb,htru_pks * - -1841 J1835-1548 J1835-1548 18:35:50.3 1.0e-01 -15:48:38 1.0e+01 * 0 * 0 * 0 53140.00 17.094 -3.784 0.670486 9.0e-11 1.74e-15 1.4e-17 * 0 * 0 53140.00 327.00 6.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 19.53 * pksmb * -1842 J1835-3259A J1835-3259A 18:35:44 0 -32:59:25 0 * 0 * 0 * 0 55196.00 1.532 -11.371 0.003889 0 * 0 * 0 * 0 55196.00 63.35 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.70 GC:NGC6652 misc * -1843 B1834-04 J1836-0436 18:36:51.7 1.7e-03 -04:36:37.6 1.1e-01 * 0 * 0 * 0 49532.00 27.167 1.130 0.354237 6.0e-12 1.66e-15 4.0e-20 -8.700e-26 6.0e-27 * 0 49532.00 231.50 3.0e-01 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * jb2,pksmb,htru_pks * -1844 J1836-0517 J1836-0517 18:36:25.2 1.1e-01 -05:17:35 4.0e+00 * 0 * 0 * 0 52156.00 26.510 0.915 0.457245 3.0e-11 1.30e-15 1.1e-18 * 0 * 0 52156.00 564.00 5.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.25 * pksmb * -1845 B1834-10 J1836-1008 18:36:53.9 4.0e-03 -10:08:08.3 2.5e-01 18.000 6.5e+01 12.000 2.2e+02 * 0 48880.00 22.263 -1.415 0.562711 3.0e-11 1.18e-14 1.6e-19 -1.950e-25 7.0e-27 * 0 48880.00 316.98 3.0e-02 * 0 54.00 6.0e+00 3.70 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * mol2,pks70,pksmb,htru_pks * - -1846 J1836-11 J1836-11 18:36:06 3.0e+01 -11:17 7.0e+00 * 0 * 0 * 0 56657.00 21.153 -1.768 0.496193 1.1e-06 * 0 * 0 * 0 56657.00 326.00 8.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.07 * htru_pks * -1847 J1836-1324 J1836-1324 18:36:52.2 9.0e-03 -13:24:33.6 5.0e-01 * 0 * 0 * 0 53277.00 19.348 -2.910 0.178756 1.6e-12 1.04e-15 1.0e-18 * 0 * 0 53277.00 157.33 1.0e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.64 * pksmb,htru_pks * -1848 J1836-2354A J1836-2354A 18:36:25.4 1.0e-04 -23:54:52.3 3.0e-02 * 0 * 0 * 0 55000.00 9.886 -7.561 0.003354 1.0e-16 2.32e-21 3.0e-24 * 0 * 0 55000.00 89.11 2.0e-03 * 0 * 0 0.20 0 BT 54694.1963 6.0e-07 0.2028 3.0e-10 0.0464 6.0e-07 * 0 0.000e+00 1.6e-03 * 0 * 0 * 0 3.20 GC:M22(NGC6656) misc * -1849 J1836-2354B J1836-2354B 18:36:24.3 3.0e-03 -23:54:28.7 7.0e-01 * 0 * 0 * 0 55000.00 9.890 -7.554 0.003232 4.0e-15 -4.80e-22 6.0e-23 * 0 * 0 55000.00 93.30 2.0e-01 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.20 GC:M22(NGC6656) misc * -1850 J1836+5925 J1836+5925 18:36:13.6 2.7e-02 +59:25:30.1 2.0e-01 * 0 * 0 * 0 56338.00 88.875 24.999 0.173264 1.0e-11 1.50e-15 1.0e-18 -1.000e-23 1.0e-23 * 0 56338.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 GRS:2FGL_J1836.2+5926[naa+12],XRS:RX_J18 FermiBlind XINS,NRAD - -1851 J1837-0045 J1837-0045 18:37:32.1 1.6e-02 -00:45:10.6 7.2e-01 * 0 * 0 * 0 51019.00 30.675 2.749 0.617037 6.0e-12 1.68e-15 7.0e-20 -3.800e-27 6.6e-27 * 0 51019.00 86.98 9.0e-02 * 0 10.00 0 0.61 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * pks70,pksmb * -1852 J1837+0053 J1837+0053 18:37:28.4 7.0e-02 +00:53:13 3.0e+00 * 0 * 0 * 0 53094.00 32.129 3.511 0.473513 4.0e-11 3.77e-17 4.0e-18 * 0 * 0 53094.00 124.00 3.0e+00 * 0 * 0 0.34 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.25 * pksmb * -1853 J1837-0559 J1837-0559 18:37:23.6 1.4e-02 -05:59:28.3 9.0e-01 * 0 * 0 * 0 51463.00 26.001 0.379 0.201063 5.0e-12 3.30e-15 1.3e-18 * 0 * 0 51463.00 319.50 6.0e-01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb,htru_pks * -1854 J1837-0604 J1837-0604 18:37:43.5 1.0e-02 -06:04:49 1.0e+00 * 0 * 0 * 0 51749.00 25.960 0.265 0.096294 3.0e-11 4.52e-14 8.0e-19 * 0 * 0 51749.00 459.30 3.0e-01 * 0 * 0 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * pksmb,htru_pks HE[lsg+15] -1855 B1834-06 J1837-0653 18:37:14.6 1.9e-02 -06:53:02.1 1.1e+00 * 0 * 0 * 0 49480.00 25.191 0.002 1.905809 3.0e-11 7.72e-16 1.9e-19 4.600e-28 7.9e-28 * 0 49480.00 316.10 4.0e-01 * 0 * 0 2.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.14 * jb2,pksmb,htru_pks * - -1856 J1837-08 J1837-08 18:37:43 0 -08:20:04 0 * 0 * 0 * 0 55561.00 23.956 -0.768 1.099000 0 * 0 * 0 * 0 55561.00 510.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.26 * htru_pks * -1857 J1837+1221 J1837+1221 18:37:07.1 4.0e-02 +12:21:54.0 6.0e-01 * 0 * 0 * 0 51650.00 42.411 8.738 1.963532 1.2e-10 6.20e-15 1.6e-17 * 0 * 0 51650.00 100.60 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.60 * pkssw,misc * -1858 J1837-1243 J1837-1243 18:37:09.4 3.0e-02 -12:43:56 3.0e+00 * 0 * 0 * 0 51494.00 19.983 -2.662 1.876019 1.1e-10 3.65e-14 3.0e-17 * 0 * 0 51494.00 300.00 9.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.26 * pksmb,htru_pks * -1859 J1837-1837 J1837-1837 18:37:54.2 1.0e-02 -18:37:08 2.0e+00 * 0 * 0 * 0 51500.00 14.807 -5.498 0.618358 1.6e-11 5.50e-15 1.2e-18 * 0 * 0 51500.00 100.74 1.3e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.23 * pkssw,pksmb,htru_pks * -1860 J1838-01 J1838-01 18:38:30 3.0e+01 -01:01 7.0e+00 * 0 * 0 * 0 51869.10 30.550 2.414 0.183295 2.0e-07 * 0 * 0 * 0 51869.10 320.40 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.76 * pksmb * - -1861 J1838-0107 J1838-0107 18:38:39.4 2.0e-03 -01:07:48.6 1.0e-01 * 0 * 0 * 0 56489.00 30.467 2.327 0.444426 1.7e-12 5.46e-18 1.5e-19 * 0 * 0 56489.00 268.90 0 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * htru_pks * -1862 J1838-0453 J1838-0453 18:38:11.1 6.0e-02 -04:53:23 3.0e+00 * 0 * 0 * 0 51493.00 27.070 0.709 0.380831 3.0e-11 1.16e-13 8.0e-18 * 0 * 0 51493.00 617.20 4.0e-01 * 0 * 0 0.33 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * pksmb,htru_pks * -1863 J1838-0537 J1838-0537 18:38:56.0 3.0e-02 -05:37:09 2.0e+00 * 0 * 0 * 0 55100.00 26.508 0.209 0.145708 3.0e-10 4.72e-13 3.0e-17 1.700e-21 9.0e-23 * 0 55100.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -1864 J1838-0549 J1838-0549 18:38:38.0 3.0e-02 -05:49:12 3.0e+00 * 0 * 0 * 0 52642.00 26.295 0.183 0.235303 1.0e-11 3.34e-14 6.0e-18 * 0 * 0 52642.00 276.60 4.0e-01 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.06 * pksmb * -1865 J1838-0624 J1838-0624 18:38:51.7 1.1e-01 -06:24:54 4.0e+00 * 0 * 0 * 0 51875.00 25.792 -0.140 0.927178 5.0e-11 7.74e-17 4.0e-18 * 0 * 0 51875.00 424.00 9.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.54 * pksmb * - -1866 J1838-0655 J1838-0655 18:38:03.1 2.0e-02 -06:55:33.4 3.0e-01 * 0 * 0 * 0 54522.00 25.246 -0.196 0.070498 5.4e-11 4.92e-14 2.9e-16 * 0 * 0 54522.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.60 XRS:AX_J1838.0-0655,GRS:HESS_J1837-069 misc NRAD -1867 J1838-1046 J1838-1046 18:38:26.4 4.0e-02 -10:46:57 4.0e+00 * 0 * 0 * 0 51493.00 21.862 -2.049 1.218354 8.0e-11 3.08e-15 1.8e-17 * 0 * 0 51493.00 208.00 3.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.11 * pksmb,htru_pks * -1868 J1838+1650 J1838+1650 18:38:43.0 4.0e-03 +16:50:16.0 6.0e-02 * 0 * 0 * 0 51602.00 46.667 10.331 1.901967 1.0e-11 2.68e-15 1.0e-18 * 0 * 0 51602.00 32.95 9.9e-04 * 0 2.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.54 * ar4 * -1869 J1838-1849 J1838-1849 18:38:33.7 4.0e-02 -18:49:59 5.0e+00 * 0 * 0 * 0 55991.90 14.686 -5.734 0.488242 3.0e-11 4.00e-17 1.0e-17 * 0 * 0 55991.90 169.90 0 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.39 * pksmb * -1870 J1839-0141 J1839-0141 18:39:06.9 8.5e-03 -01:41:56.0 2.0e-01 * 0 * 0 * 0 55467.00 30.014 1.965 0.933266 2.0e-11 5.94e-15 1.0e-18 * 0 * 0 55467.00 293.20 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.07 * pksmb RRAT - -1871 J1839-0223 J1839-0223 18:39:58.0 3.0e-03 -02:23:09.5 1.6e+00 * 0 * 0 * 0 56488.00 29.500 1.461 1.266790 5.0e-11 4.76e-15 6.0e-21 * 0 * 0 56488.00 330.00 0 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * htru_pks * -1872 J1839-0321 J1839-0321 18:39:37.5 2.0e-02 -03:21:10.5 1.2e+00 * 0 * 0 * 0 51489.00 28.601 1.095 0.238778 9.0e-12 1.25e-14 3.0e-18 * 0 * 0 51489.00 452.60 3.0e-01 * 0 * 0 0.27 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.86 * pksmb * -1873 J1839-0332 J1839-0332 18:39:56.5 1.2e-02 -03:32:58.6 6.0e-01 * 0 * 0 * 0 56491.00 28.462 0.934 2.675682 6.0e-11 4.76e-15 6.0e-21 * 0 * 0 56491.00 195.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * htru_pks * -1874 J1839-0402 J1839-0402 18:39:51.0 3.0e-02 -04:02:24.9 1.2e+00 * 0 * 0 * 0 51487.00 28.016 0.730 0.520940 1.7e-11 7.69e-15 5.0e-18 * 0 * 0 51487.00 242.00 3.0e+00 * 0 * 0 0.21 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.27 * pksmb,htru_pks * -1875 J1839-0436 J1839-0436 18:39:00.0 9.0e-03 -04:36:57.5 7.0e-01 * 0 * 0 * 0 53190.00 27.407 0.654 0.149461 3.0e-12 8.10e-16 3.0e-19 * 0 * 0 53190.00 292.70 1.8e+00 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.48 * pksmb,htru_pks * - -1876 J1839-0459 J1839-0459 18:39:42.6 2.0e-02 -04:59:58.8 1.6e+00 * 0 * 0 * 0 51426.00 27.147 0.321 0.585319 3.0e-11 3.31e-15 5.0e-18 * 0 * 0 51426.00 243.00 3.0e+00 * 0 * 0 0.30 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * pksmb,htru_pks * -1877 J1839-0627 J1839-0627 18:39:20.4 3.0e-02 -06:27:34 5.0e+00 * 0 * 0 * 0 51361.00 25.807 -0.266 0.484914 4.0e-11 1.32e-16 1.7e-17 * 0 * 0 51361.00 88.50 7.0e-01 * 0 * 0 0.29 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * pksmb,htru_pks * -1878 J1839-0643 J1839-0643 18:39:09.8 1.4e-02 -06:43:45.2 1.5e+00 * 0 * 0 * 0 51368.00 25.547 -0.350 0.449548 1.5e-11 3.64e-15 7.0e-18 * 0 * 0 51368.00 497.90 1.6e+00 * 0 * 0 1.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.82 * pksmb,htru_pks * -1879 J1839-0905 J1839-0905 18:39:53.4 2.0e-02 -09:05:14.8 1.4e+00 * 0 * 0 * 0 52287.00 23.533 -1.591 0.418969 1.6e-11 2.60e-14 3.0e-18 * 0 * 0 52287.00 344.50 3.0e-01 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.80 * pksmb,htru_pks * -1880 J1839-1238 J1839-1238 18:39:43.7 1.9e-02 -12:38:40.7 1.8e+00 * 0 * 0 * 0 53035.00 20.347 -3.180 1.911428 5.0e-11 4.95e-15 4.0e-18 * 0 * 0 53035.00 169.80 1.8e+00 * 0 * 0 0.37 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * pksmb,htru_pks * - -1881 J1839+15 J1839+15 18:39:00 0 +15:00:00 0 * 0 * 0 * 0 55774.00 45.014 9.477 0.549161 8.0e-11 2.61e-14 6.0e-17 * 0 * 0 55774.00 68.10 8.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * misc * -1882 J1840+0214 J1840+0214 18:40:34.0 1.9e-02 +02:14:54.7 6.0e-01 * 0 * 0 * 0 53129.00 33.696 3.443 0.797478 4.0e-11 8.29e-15 7.0e-18 * 0 * 0 53129.00 182.40 1.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.84 * pksmb * -1883 J1840-04 J1840-04 18:40:49 0 -04:38:27 0 * 0 * 0 * 0 55561.00 27.592 0.241 0.422300 0 * 0 * 0 * 0 55561.00 380.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.59 * htru_pks * -1884 J1840-0559 J1840-0559 18:40:23.1 4.0e-02 -05:59:16.2 1.8e+00 * 0 * 0 * 0 52418.00 26.345 -0.281 0.859368 5.0e-11 9.60e-15 9.0e-18 * 0 * 0 52418.00 321.70 1.4e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb,htru_pks * -1885 J1840-0626 J1840-0626 18:40:16.3 5.0e-02 -06:26:15.4 5.2e+00 * 0 * 0 * 0 54211.20 25.933 -0.461 1.893353 4.0e-10 2.30e-14 7.0e-17 * 0 * 0 54211.20 748.00 8.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.72 * pksmb * - -1886 J1840-0643 J1840-0643 18:40:09.4 5.0e-02 -06:43:47 1.0e+00 * 0 * 0 * 0 55930.00 25.660 -0.570 0.035578 3.0e-10 2.20e-16 7.0e-19 * 0 * 0 55930.00 500.00 0 * 0 * 0 1.20 0 BT 56044.4000 1.0e-01 937.1000 7.0e-01 113.2000 2.0e-01 * 0 * 0 * 0 * 0 * 0 5.01 * pksmb * -1887 J1840-0753 J1840-0753 18:40:47.6 1.0e-01 -07:53:32 6.0e+00 * 0 * 0 * 0 54803.90 24.698 -1.242 0.437869 2.0e-10 1.00e-16 6.0e-17 * 0 * 0 54803.90 691.00 7.0e+00 * 0 * 0 0.37 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.23 * pksmb,htru_pks * -1888 J1840-0809 J1840-0809 18:40:33.3 6.0e-03 -08:09:03.3 4.0e-01 * 0 * 0 * 0 52091.00 24.441 -1.308 0.955672 8.0e-12 2.35e-15 5.0e-19 * 0 * 0 52091.00 349.80 8.0e-01 * 0 * 0 2.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.75 * pksmb,htru_pks * -1889 J1840-0815 J1840-0815 18:40:13.7 1.3e-02 -08:15:10.6 7.0e-01 * 0 * 0 * 0 52091.00 24.314 -1.283 1.096440 1.4e-11 2.42e-15 9.0e-19 * 0 * 0 52091.00 233.20 1.2e+00 * 0 * 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.19 * pksmb,htru_pks * -1890 J1840-0840 J1840-0840 18:40:51.9 4.0e-01 -08:40:29 1.5e+01 * 0 * 0 * 0 53278.00 24.010 -1.616 5.309377 2.0e-09 2.37e-14 1.2e-15 * 0 * 0 53278.00 272.00 1.9e+01 * 0 * 0 1.72 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.10 * pksmb,htru_pks * - -1891 J1840-1122 J1840-1122 18:40:24.0 1.9e-02 -11:22:10.7 1.6e+00 * 0 * 0 * 0 52287.00 21.559 -2.745 0.940962 4.0e-11 6.41e-15 6.0e-18 * 0 * 0 52287.00 311.00 3.0e+00 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.96 * pksmb,htru_pks * -1892 J1840-1207 J1840-1207 18:40:53.7 8.0e-03 -12:07:32.6 6.0e-01 * 0 * 0 * 0 53038.00 20.940 -3.197 0.754470 6.0e-12 3.20e-15 6.0e-19 * 0 * 0 53038.00 302.30 1.5e+00 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.83 * pksmb,htru_pks * -1893 J1840-1419 J1840-1419 18:40:32.9 1.0e-02 -14:19:05 1.0e+00 * 0 * 0 * 0 55074.00 18.945 -4.118 6.597563 4.0e-10 6.33e-15 2.0e-17 * 0 * 0 55074.00 19.40 1.4e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.72 * pksmb RRAT -1894 B1839+56 J1840+5640 18:40:44.6 6.0e-03 +56:40:55.4 6.0e-02 -30.000 4.0e+00 -21.000 2.0e+00 * 0 48717.00 86.079 23.818 1.652862 2.0e-12 1.49e-15 1.4e-20 -9.100e-28 7.0e-29 * 0 48717.00 26.77 1.7e-04 * 0 21.00 3.0e+00 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * misc,gb4,gbncc * -1895 J1841+0130 J1841+0130 18:41:17.7 8.0e-03 +01:30:16.9 3.0e-01 * 0 * 0 * 0 53111.00 33.116 2.942 0.029773 4.0e-13 8.17e-18 5.0e-20 * 0 * 0 53111.00 125.88 6.0e-02 * 0 * 0 0.06 0 ELL1 * 0 10.4716 5.0e-06 3.5041 1.8e-04 182.36 0.0e+00 8.007e-05 0.0e+00 52747.5545 1.1e-04 -3.300e-06 1.0e-06 -8.000e-05 1.0e-05 4.23 * pksmb * - -1896 J1841-0157 J1841-0157 18:41:56.2 2.0e-02 -01:57:54.6 8.0e-01 * 0 * 0 * 0 52163.00 30.099 1.216 0.663321 9.0e-12 1.81e-14 5.0e-19 * 0 * 0 52163.00 475.00 3.0e+00 * 0 * 0 0.81 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * pksmb,htru_pks * -1897 J1841-0310 J1841-0310 18:41:25.8 1.4e-01 -03:10:21 9.0e+00 * 0 * 0 * 0 52353.00 28.968 0.776 1.657656 4.0e-10 3.35e-16 9.0e-18 * 0 * 0 52353.00 216.00 1.2e+01 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.17 * pksmb,htru_pks * -1898 J1841-0345 J1841-0345 18:41:38.6 5.0e-02 -03:48:42.6 1.6e+00 * 0 * 0 * 0 51646.00 28.424 0.437 0.204068 1.7e-11 5.79e-14 3.0e-18 * 0 * 0 51646.00 194.32 6.0e-02 * 0 * 0 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.78 * misc,pksmb,htru_pks * -1899 B1838-04 J1841-0425 18:41:05.6 1.0e-03 -04:25:19.5 7.0e-02 * 0 * 0 * 0 53900.00 27.818 0.279 0.186149 4.0e-13 6.39e-15 1.8e-20 -1.560e-24 4.0e-26 * 0 53900.00 325.49 1.5e-02 * 0 2.60 4.0e-01 2.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * jb2,pksmb,htru_pks * -1900 J1841-0456 J1841-0456 18:41:19.3 3.0e-02 -04:56:11.1 3.0e-01 * 0 * 0 * 0 55585.00 27.387 -0.007 11.788978 1.0e-06 4.09e-11 1.6e-13 -3.900e-22 7.0e-23 * 0 55585.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.60 SNR:Kes73,XRS:1E_1841-045 misc AXP,NRAD - -1901 J1841-0500 J1841-0500 18:41:18.1 5.0e-02 -05:00:19.5 8.0e-01 * 0 * 0 * 0 55800.00 27.323 -0.034 0.912914 1.7e-10 3.48e-14 1.7e-16 * 0 * 0 55800.00 532.00 1.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.97 * misc,htru_pks * -1902 J1841-0524 J1841-0524 18:41:49.3 5.0e-02 -05:24:29.5 1.2e+00 * 0 * 0 * 0 52360.00 27.024 -0.333 0.445749 3.0e-11 2.34e-13 1.0e-17 * 0 * 0 52360.00 284.50 3.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * pksmb * -1903 B1839+09 J1841+0912 18:41:55.9 2.7e-03 +09:12:07.3 6.5e-02 * 0 * 0 * 0 48266.00 40.078 6.278 0.381319 3.0e-12 1.09e-15 1.1e-20 6.350e-26 1.1e-27 * 0 48266.00 49.16 4.3e-03 * 0 20.00 1.0e+00 1.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * mol2,gb3,ar3,pkssw,gb4 * -1904 J1841-1404 J1841-1404 18:41:34.3 4.0e-01 -14:04:19 4.1e+01 * 0 * 0 * 0 53173.00 19.277 -4.227 1.334557 8.0e-10 6.41e-16 1.8e-16 * 0 * 0 53173.00 267.00 8.0e+00 * 0 * 0 0.18 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.22 * pksmb * -1905 J1841-7845 J1841-7845 18:41:25.9 4.0e-01 -78:45:15 4.0e+00 * 0 * 0 * 0 53150.00 315.460 -26.082 0.353603 4.0e-10 1.60e-16 7.0e-17 * 0 * 0 53150.00 41.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * pkssw * - -1906 J1842-0153 J1842-0153 18:42:57.8 1.3e-02 -01:53:26.7 6.0e-01 * 0 * 0 * 0 51432.00 30.283 1.022 1.054228 3.0e-11 6.72e-15 4.0e-18 * 0 * 0 51432.00 434.00 5.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.97 * pksmb * -1907 J1842+0257 J1842+0257 18:42:30.9 4.0e-02 +02:57:58.8 1.4e+00 * 0 * 0 * 0 53040.00 34.558 3.336 3.088256 1.3e-10 2.96e-14 1.2e-17 * 0 * 0 53040.00 148.10 1.1e+00 * 0 * 0 0.26 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.04 * pksmb * -1908 J1842-0309 J1842-0309 18:42:19.0 5.0e-02 -03:09:46 3.0e+00 * 0 * 0 * 0 52493.00 29.078 0.584 0.404920 3.0e-11 4.52e-15 4.0e-18 * 0 * 0 52493.00 955.00 7.0e+00 * 0 * 0 0.25 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.58 * pksmb,htru_pks * -1909 J1842+0358 J1842+0358 18:42:17.0 6.0e-03 +03:58:35.3 3.0e-01 * 0 * 0 * 0 53108.00 35.434 3.846 0.233326 3.0e-12 8.11e-16 3.0e-19 * 0 * 0 53108.00 109.90 4.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.33 * pksmb * -1910 B1839-04 J1842-0359 18:42:26.4 1.4e-02 -03:59:59.8 6.1e-01 * 0 * 0 * 0 49462.00 28.347 0.174 1.839944 1.4e-11 5.09e-16 1.1e-19 9.800e-28 4.3e-28 * 0 49462.00 195.98 8.0e-02 * 0 18.70 0 4.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.71 * jb2,pksmb,htru_pks * - -1911 J1842-0415 J1842-0415 18:42:11.2 1.3e-02 -04:15:38.2 7.0e-01 * 0 * 0 * 0 51589.00 28.086 0.111 0.526682 1.2e-11 2.19e-14 1.2e-18 * 0 * 0 51589.00 188.00 4.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.64 * misc,pksmb,htru_pks * -1912 J1842-0612 J1842-0612 18:42:43.0 1.0e-01 -06:12:36 5.0e+00 * 0 * 0 * 0 52402.00 26.413 -0.898 0.564475 1.6e-10 2.20e-17 9.0e-18 * 0 * 0 52402.00 485.00 1.0e+01 * 0 * 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.73 * pksmb,htru_pks * -1913 J1842+0638 J1842+0638 18:42:10.0 1.7e-02 +06:38:15.0 7.0e-01 * 0 * 0 * 0 53125.00 37.801 5.075 0.313016 1.1e-11 7.60e-17 1.7e-18 * 0 * 0 53125.00 212.20 1.2e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.94 * pksmb * -1914 J1842-0800 J1842-0800 18:42:54.9 1.3e-02 -08:00:53.5 7.0e-01 * 0 * 0 * 0 56611.00 24.829 -1.766 1.255469 3.0e-11 1.94e-16 5.0e-20 * 0 * 0 56611.00 188.60 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * htru_pks * -1915 J1842-0905 J1842-0905 18:42:22.1 7.0e-03 -09:05:24.6 8.0e-01 * 0 * 0 * 0 51805.00 23.810 -2.136 0.344643 5.0e-12 1.05e-14 5.0e-19 * 0 * 0 51805.00 343.40 2.0e-01 * 0 * 0 0.81 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.72 * pksmb,htru_pks * - -1916 J1842+1332 J1842+1332 18:42:29.9 6.0e-02 +13:32:01.5 9.0e-01 * 0 * 0 * 0 51650.00 44.054 8.074 0.471604 3.0e-11 2.29e-16 7.0e-18 * 0 * 0 51650.00 102.50 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.43 * pkssw * -1917 J1843-0000 J1843-0000 18:43:27.9 9.0e-03 -00:00:40.9 6.0e-01 * 0 * 0 * 0 51910.00 32.013 1.768 0.880330 3.0e-11 7.79e-15 4.0e-18 * 0 * 0 51910.00 101.50 8.0e-01 * 0 * 0 2.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * pksmb,palfa * -1918 J1843-0050 J1843-0050 18:43:36.7 6.0e-02 -00:50:10 3.0e+00 * 0 * 0 * 0 51462.00 31.295 1.360 0.782598 8.0e-11 2.49e-16 1.2e-17 * 0 * 0 51462.00 507.00 7.0e+00 * 0 * 0 0.24 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.30 * pksmb * -1919 J1843-0137 J1843-0137 18:43:12.6 3.0e-02 -01:37:46.3 1.2e+00 * 0 * 0 * 0 52490.00 30.543 1.087 0.669872 3.0e-11 2.47e-15 1.4e-17 * 0 * 0 52490.00 486.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * pksmb * -1920 J1843-0211 J1843-0211 18:43:30.3 2.0e-02 -02:11:02.8 7.0e-01 * 0 * 0 * 0 52608.00 30.084 0.768 2.027524 5.0e-11 1.44e-14 3.0e-17 * 0 * 0 52608.00 441.70 9.0e-01 * 0 * 0 0.93 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pksmb,htru_pks * - -1921 J1843-0355 J1843-0355 18:43:06.6 5.0e-02 -03:55:56 3.0e+00 * 0 * 0 * 0 51490.00 28.484 0.056 0.132314 1.1e-11 1.04e-15 3.0e-18 * 0 * 0 51490.00 797.70 6.0e-01 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb,htru_pks * -1922 J1843-0408 J1843-0408 18:43:43.4 7.0e-02 -04:08:04 3.0e+00 * 0 * 0 * 0 52353.00 28.374 -0.172 0.781934 7.0e-11 2.39e-15 3.0e-17 * 0 * 0 52353.00 246.00 3.0e+00 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * pksmb,htru_pks * -1923 J1843-0459 J1843-0459 18:43:27.6 1.8e-02 -04:59:30.4 1.3e+00 * 0 * 0 * 0 51719.00 27.581 -0.505 0.754963 3.0e-11 8.54e-16 1.0e-17 * 0 * 0 51719.00 444.10 5.0e-01 * 0 * 0 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.89 * pksmb,htru_pks * -1924 J1843-0510 J1843-0510 18:43:09.7 1.2e-02 -05:10:04.5 5.0e-01 * 0 * 0 * 0 56514.00 27.391 -0.520 0.671614 1.3e-11 3.89e-15 1.2e-18 * 0 * 0 56514.00 257.00 0 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.07 * htru_pks * -1925 J1843-0702 J1843-0702 18:43:22.4 1.0e-02 -07:02:54.6 7.0e-01 * 0 * 0 * 0 52608.00 25.741 -1.426 0.191614 3.0e-12 2.14e-15 1.5e-18 * 0 * 0 52608.00 228.40 2.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.28 * pksmb * - -1926 J1843-0744 J1843-0744 18:43:05.4 8.0e-03 -07:44:30.1 5.0e-01 * 0 * 0 * 0 54274.10 25.092 -1.680 0.475393 1.0e-11 1.33e-14 1.0e-18 * 0 * 0 54274.10 321.00 5.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.05 * pksmb,htru_pks * -1927 J1843-0806 J1843-0806 18:43:28.7 1.1e-02 -08:06:44.9 7.0e-01 * 0 * 0 * 0 52608.00 24.806 -1.934 0.536414 9.0e-12 1.74e-14 4.0e-18 * 0 * 0 52608.00 215.80 9.0e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.31 * pksmb,htru_pks * -1928 J1843-1113 J1843-1113 18:43:41.2 1.2e-05 -11:13:31.0 7.0e-04 -1.910 7.0e-02 -3.200 3.0e-01 0.690 3.3e-01 55000.00 22.055 -3.397 0.001846 6.0e-16 9.55e-21 7.0e-24 * 0 * 0 55000.00 59.96 8.0e-03 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.26 GRS:[hsg+14] pksmb,htru_pks HE -1929 J1843-1448 J1843-1448 18:43:01.3 3.0e-04 -14:48:12.6 3.0e-02 10.500 1.9e-01 12.000 1.5e+01 * 0 53934.00 18.782 -4.871 0.005471 6.0e-16 6.21e-21 1.8e-23 * 0 * 0 53934.00 114.51 7.0e-02 * 0 * 0 0.57 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.47 * pksmb * -1930 J1843-1507 J1843-1507 18:43:33.6 7.0e-03 -15:07:03.0 8.0e-01 * 0 * 0 * 0 53095.00 18.559 -5.129 0.583550 5.0e-12 7.20e-15 6.0e-19 * 0 * 0 53095.00 215.50 7.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.02 * pksmb,htru_pks * - -1931 J1843+2024 J1843+2024 18:43:26.1 7.0e-02 +20:24:54.6 1.2e+00 * 0 * 0 * 0 53064.00 50.444 10.846 3.406539 4.0e-10 1.04e-15 4.0e-17 * 0 * 0 53064.00 85.30 2.0e-01 * 0 0.37 3.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * ar4 * -1932 J1844+00 J1844+00 18:44:11 1.6e+01 +00:35 5.0e+00 * 0 * 0 * 0 49717.00 32.624 1.880 0.460503 3.0e-06 * 0 * 0 * 0 49717.00 345.54 2.0e-01 * 0 * 0 8.60 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.84 * ar4,pksmb,palfa * -1933 J1844-0030 J1844-0030 18:44:41.0 1.9e-02 -00:30:25.8 1.3e+00 * 0 * 0 * 0 52632.00 31.710 1.271 0.641098 3.0e-11 6.08e-15 8.0e-18 * 0 * 0 52632.00 605.00 3.0e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.44 * pksmb * -1934 J1844+0115 J1844+0115 18:44:40.5 3.0e-04 +01:15:34.9 1.1e-02 * 0 * 0 * 0 55383.00 33.283 2.079 0.004186 3.0e-15 1.07e-20 3.0e-22 * 0 * 0 55383.00 148.22 2.0e-02 * 0 * 0 0.10 0 ELL1 * 0 50.6459 1.1e-06 14.1735 9.0e-06 189.64 0.0e+00 2.578e-04 0.0e+00 55382.5324 5.0e-06 -4.320e-05 1.3e-06 -2.542e-04 1.1e-06 4.36 * palfa * -1935 B1842-02 J1844-0244 18:44:44.9 1.6e-02 -02:44:40.9 6.5e-01 * 0 * 0 * 0 49610.00 29.727 0.235 0.507722 1.3e-11 1.67e-14 1.1e-19 -9.300e-27 6.9e-27 * 0 49610.00 429.00 3.0e+00 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * jb2,pksmb,htru_pks * - -1936 J1844-0256 J1844-0256 18:44:53 3.0e+01 -02:56 7.0e+00 * 0 * 0 * 0 51465.00 29.574 0.119 0.272963 1.0e-06 * 0 * 0 * 0 51465.00 826.00 2.0e+00 * 0 * 0 0.46 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * misc,pksmb,htru_pks * -1937 J1844-03 J1844-03 18:44:57 3.0e+00 -03:00:00 4.0e+01 * 0 * 0 * 0 49272.00 29.523 0.074 6.971270 2.8e-04 * 0 * 0 * 0 49272.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:AX_J1845-0258,CXOU_J184454.6-025653( misc NRAD,AXP(?) -1938 J1844-0302 J1844-0302 18:44:06.9 1.2e-02 -03:02:11.2 5.0e-01 * 0 * 0 * 0 56613.00 29.395 0.243 1.198630 2.0e-11 7.81e-15 5.0e-21 * 0 * 0 56613.00 533.00 0 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.26 * htru_pks * -1939 J1844-0310 J1844-0310 18:44:45.4 5.0e-02 -03:10:37.1 2.0e+00 * 0 * 0 * 0 51593.96 29.343 0.036 0.525049 4.0e-11 1.02e-14 4.0e-18 * 0 * 0 51593.96 836.10 5.0e-01 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.97 * misc,pksmb,htru_pks * -1940 J1844-0346 J1844-0346 18:44:32.8 2.0e-02 -03:46:30.6 9.0e-01 * 0 * 0 * 0 55716.00 28.787 -0.191 0.112855 1.1e-11 1.55e-13 7.0e-19 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J1844.3-0344[aaa+15] FermiBlind NRAD - -1941 B1841-04 J1844-0433 18:44:33.4 4.8e-03 -04:33:12.4 2.5e-01 * 0 * 0 * 0 49626.00 28.096 -0.548 0.991027 3.0e-12 3.91e-15 1.6e-20 -1.500e-27 4.0e-28 * 0 49626.00 123.16 2.0e-02 * 0 8.10 7.0e-01 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.07 * jb2,pks70,pksmb,htru_pks * -1942 J1844-0452 J1844-0452 18:44:01.5 4.0e-02 -04:52:20.9 1.9e+00 * 0 * 0 * 0 52471.00 27.752 -0.576 0.269443 3.0e-11 6.80e-16 6.0e-18 * 0 * 0 52471.00 626.00 4.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.69 * pksmb * -1943 J1844-0502 J1844-0502 18:44:33.9 7.0e-02 -05:02:00.5 2.3e+00 * 0 * 0 * 0 52608.00 27.670 -0.769 0.335163 4.0e-11 6.18e-17 1.2e-17 * 0 * 0 52608.00 318.00 5.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.58 * pksmb * -1944 B1841-05 J1844-0538 18:44:05.1 1.9e-03 -05:38:34.1 1.1e-01 * 0 * 0 * 0 49551.00 27.073 -0.941 0.255699 8.0e-12 9.71e-15 6.0e-20 -1.330e-25 1.5e-26 * 0 49551.00 411.71 4.0e-02 * 0 * 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * jb2,pksmb,htru_pks * -1945 B1842+14 J1844+1454 18:44:54.8 1.1e-03 +14:54:14.1 3.0e-02 -9.000 1.0e+01 45.000 6.0e+00 * 0 49362.00 45.557 8.149 0.375463 3.0e-11 1.87e-15 3.0e-19 6.000e-26 2.7e-26 * 0 49362.00 41.49 6.1e-04 * 0 20.00 2.0e+00 1.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.68 * mol2,ar2,ar3,pkssw,gb4 * - -1946 J1845-0316 J1845-0316 18:45:52.9 1.0e-01 -03:16:05 1.2e+01 * 0 * 0 * 0 51350.00 29.390 -0.255 0.207636 1.0e-10 8.86e-15 6.0e-17 * 0 * 0 51350.00 500.00 1.4e-01 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.07 * misc,pksmb,htru_pks * -1947 B1842-04 J1845-0434 18:45:34.7 7.0e-03 -04:34:29.8 2.9e-01 * 0 * 0 * 0 49610.00 28.193 -0.785 0.486751 4.0e-10 1.13e-14 3.0e-18 1.000e-25 1.8e-25 * 0 49610.00 230.80 2.0e-01 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * jb2,pksmb,htru_pks * -1948 J1845-0545 J1845-0545 18:45:38.4 4.0e-02 -05:45:18.2 1.0e+00 * 0 * 0 * 0 52608.00 27.150 -1.337 1.092348 5.0e-11 1.34e-14 3.0e-17 * 0 * 0 52608.00 315.90 1.2e+00 * 0 * 0 0.47 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.48 * pksmb,htru_pks * -1949 J1845+0623 J1845+0623 18:45:08.5 3.0e-02 +06:23:57.6 9.0e-01 * 0 * 0 * 0 53095.00 37.923 4.308 1.421654 7.0e-11 5.46e-16 7.0e-18 * 0 * 0 53095.00 113.00 1.4e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.92 * pksmb * -1950 J1845-0635 J1845-0635 18:45:07.4 9.0e-03 -06:35:23.4 8.0e-01 * 0 * 0 * 0 54844.50 26.348 -1.603 0.340528 2.0e-11 4.49e-15 8.0e-18 * 0 * 0 54844.50 414.00 1.0e+00 * 0 * 0 0.36 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.40 * pksmb * - -1951 J1845-0743 J1845-0743 18:45:57.1 1.0e-02 -07:43:38.4 6.0e-01 * 0 * 0 * 0 52010.00 25.429 -2.304 0.104695 5.0e-12 3.67e-16 1.1e-18 * 0 * 0 52010.00 280.93 2.0e-02 * 0 * 0 2.70 2.8e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * pksmb,htru_pks * -1952 J1845-0826 J1845-0826 18:45:05.6 1.9e-02 -08:26:39.7 1.2e+00 * 0 * 0 * 0 53112.00 24.693 -2.441 0.634354 1.7e-11 9.35e-15 3.0e-18 * 0 * 0 53112.00 228.20 1.2e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.01 * pksmb * -1953 J1845-1114 J1845-1114 18:45:45.7 6.0e-03 -11:14:11.0 5.0e-01 * 0 * 0 * 0 53036.00 22.276 -3.855 0.206220 1.3e-12 2.01e-15 1.3e-19 * 0 * 0 53036.00 206.70 5.0e-01 * 0 * 0 0.52 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.74 * pksmb,htru_pks * -1954 J1845-1351 J1845-1351 18:45:11.5 3.0e-02 -13:51:54.5 2.0e+00 * 0 * 0 * 0 53112.00 19.860 -4.918 2.618918 6.0e-11 9.72e-15 8.0e-18 * 0 * 0 53112.00 197.40 1.4e+00 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.18 * pksmb * -1955 J1846+0051 J1846+0051 18:46:43.8 2.0e-02 +00:51:39.0 7.0e-01 * 0 * 0 * 0 52554.00 33.162 1.440 0.434373 1.6e-11 1.12e-14 3.0e-18 * 0 * 0 52554.00 140.00 3.0e+00 * 0 * 0 0.34 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb * - -1956 J1846-0257 J1846-0257 18:46:15.4 4.0e-02 -02:57:36.0 1.8e+00 * 0 * 0 * 0 53039.00 29.707 -0.198 4.476723 1.0e-10 1.61e-13 3.0e-18 * 0 * 0 53039.00 237.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * pksmb RRAT -1957 J1846-0258 J1846-0258 18:46:24.9 1.0e-02 -02:58:30.1 2.0e-01 * 0 * 0 * 0 54834.00 29.712 -0.240 0.326571 5.0e-11 7.11e-12 3.0e-18 2.725e-21 3.0e-24 * 0 54834.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 SNR:Kes75,XRS:PWN:[hcg03],GRS:[kd16] misc NRAD -1958 J1846-0749 J1846-0749 18:46:19.7 5.0e-03 -07:49:21.4 3.0e-01 * 0 * 0 * 0 53172.00 25.386 -2.431 0.350110 4.0e-12 1.26e-15 4.0e-19 * 0 * 0 53172.00 388.30 5.0e-01 * 0 * 0 0.35 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.93 * pksmb,htru_pks * -1959 J1846-07492 J1846-07492 18:46:07.9 9.0e-03 -07:49:13.2 6.0e-01 * 0 * 0 * 0 54283.70 25.366 -2.386 0.861380 1.5e-11 5.19e-15 3.0e-18 * 0 * 0 54283.70 192.00 5.0e+00 * 0 * 0 0.19 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.24 * pksmb * -1960 J1846+0919 J1846+0919 18:46:26.0 6.0e-01 +09:19:46 1.1e+01 * 0 * 0 * 0 54800.00 40.693 5.342 0.225551 3.0e-10 9.93e-15 3.0e-17 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 GRS:2FGL_J1846.4+0920[naa+12] FermiBlind NRAD - -1961 J1846-42 J1846-42 18:46 0 -42:49 0 * 0 * 0 * 0 55927.00 353.047 -17.123 2.273000 0 * 0 * 0 * 0 55927.00 62.00 0 * 0 * 0 0.29 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * htru_pks * -1962 J1846-7403 J1846-7403 18:46:13.7 1.7e-01 -74:03:04 2.0e+00 * 0 * 0 * 0 53000.00 320.674 -25.650 4.878839 5.0e-10 6.06e-15 1.0e-16 * 0 * 0 53000.00 97.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pkssw * -1963 J1847-0130 J1847-0130 18:47:35.2 9.0e-02 -01:30:46 3.0e+00 * 0 * 0 * 0 52353.00 31.147 0.167 6.707046 9.0e-10 1.27e-12 3.0e-16 * 0 * 0 52353.00 667.00 6.0e+00 * 0 * 0 0.33 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.80 * pksmb * -1964 B1844-04 J1847-0402 18:47:22.8 1.6e-03 -04:02:14.2 6.0e-02 -1.000 7.0e+00 8.000 1.9e+01 * 0 48736.00 28.876 -0.939 0.597792 1.5e-10 5.17e-14 1.1e-18 7.970e-26 5.0e-28 * 0 53902.00 141.98 5.0e-03 * 0 75.00 3.0e+00 4.30 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * jb1,mol2,jb2,gb3,pks70,pksmb,htru_p * -1965 J1847-0427 J1847-0427 18:47:18.8 5.0e-02 -04:27:59 2.0e+00 * 0 * 0 * 0 56611.00 28.487 -1.120 0.259247 2.0e-11 5.90e-18 5.0e-19 * 0 * 0 56611.00 188.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * htru_pks * - -1966 J1847-0438 J1847-0438 18:47:37.9 1.3e-02 -04:38:15.3 9.0e-01 * 0 * 0 * 0 51319.00 28.371 -1.268 0.957991 3.0e-11 1.09e-14 9.0e-18 * 0 * 0 51319.00 229.00 4.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.38 * pksmb,htru_pks * -1967 J1847-0443 J1847-0443 18:47:51.8 3.0e-02 -04:43:36.2 8.0e-01 * 0 * 0 * 0 52403.00 28.318 -1.361 0.340832 1.4e-11 2.83e-17 4.0e-19 * 0 * 0 52403.00 454.90 2.0e+00 * 0 * 0 0.16 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.51 * pksmb,htru_pks * -1968 J1847-0605 J1847-0605 18:47:21.0 1.1e-02 -06:05:14.1 9.0e-01 * 0 * 0 * 0 51719.00 27.048 -1.867 0.778164 1.9e-11 4.65e-15 7.0e-18 * 0 * 0 51719.00 207.90 1.8e+00 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb,htru_pks * -1969 J1848-0023 J1848-0023 18:48:37.8 9.0e-02 -00:23:17 4.0e+00 * 0 * 0 * 0 52522.00 32.267 0.447 0.537624 9.0e-11 1.61e-15 1.8e-17 * 0 * 0 52522.00 30.60 1.0e-01 * 0 * 0 0.60 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.08 * pksmb * -1970 J1848-0055 J1848-0055 18:48:45.5 1.9e-01 -00:55:53 4.0e+00 * 0 * 0 * 0 52353.00 31.798 0.171 0.274557 7.0e-11 1.35e-15 3.0e-17 * 0 * 0 52353.00 1166.00 7.0e+00 * 0 * 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.41 * pksmb * - -1971 B1845-01 J1848-0123 18:48:23.5 1.5e-03 -01:23:58.3 5.0e-02 -5.000 6.0e+00 14.000 1.6e+01 * 0 53868.00 31.339 0.039 0.659432 3.0e-11 5.25e-15 1.4e-19 -1.800e-26 7.0e-27 * 0 50022.00 159.53 8.0e-03 * 0 79.00 6.0e+00 8.60 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * misc,jb1,mol2,jb2,pks70,pksmb * -1972 J1848+0351 J1848+0351 18:48:42.2 1.0e-02 +03:51:35.7 3.0e-01 * 0 * 0 * 0 54620.00 36.058 2.366 0.191443 2.0e-12 6.73e-17 1.0e-19 * 0 * 0 54620.00 336.60 4.0e-01 * 0 * 0 0.07 3.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.79 * palfa * -1973 J1848-0511 J1848-0511 18:48:15.0 1.4e-01 -05:11:38 5.0e+00 * 0 * 0 * 0 52777.00 27.945 -1.659 1.637129 6.0e-10 8.86e-15 1.1e-17 * 0 * 0 52777.00 418.00 7.0e+00 * 0 * 0 0.40 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.80 * pksmb,htru_pks * -1974 J1848-0601 J1848-0601 18:48:20.3 1.4e-02 -06:01:07.7 8.0e-01 * 0 * 0 * 0 53041.00 27.221 -2.054 0.225004 4.0e-12 2.87e-16 4.0e-19 * 0 * 0 53041.00 496.60 4.0e-01 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 15.66 * pksmb,htru_pks * -1975 J1848+0604 J1848+0604 18:48:54.6 7.0e-03 +06:04:46.8 3.0e-01 * 0 * 0 * 0 51602.00 38.062 3.328 2.218603 3.0e-11 3.74e-15 6.0e-18 * 0 * 0 51602.00 242.70 7.0e-01 * 0 1.00 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.61 * ar4,pksmb * - -1976 J1848+0647 J1848+0647 18:48:56.0 3.0e-02 +06:47:31.7 4.0e-01 * 0 * 0 * 0 51824.00 38.701 3.646 0.505957 2.0e-10 8.75e-15 1.0e-19 * 0 * 0 51824.00 27.90 2.0e-01 * 0 2.30 1.0e-01 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.13 * ar4,pksmb * -1977 J1848+0826 J1848+0826 18:48:43.7 2.0e-02 +08:26:35.9 7.0e-01 * 0 * 0 * 0 49079.50 40.154 4.437 0.328665 2.0e-11 2.72e-16 6.0e-19 * 0 * 0 49079.50 90.68 8.0e-02 * 0 2.80 0 0.11 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.87 * ar3,pksmb * -1978 J1848-1150 J1848-1150 18:48:11.8 3.0e-02 -11:50:09.2 1.8e+00 * 0 * 0 * 0 53040.00 22.009 -4.658 1.312218 3.0e-11 1.43e-15 3.0e-18 * 0 * 0 53040.00 163.40 1.8e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.65 * pksmb,htru_pks * -1979 J1848+12 J1848+12 18:48:30 2.0e+01 +12:50 5.0e+00 * 0 * 0 * 0 51316.70 44.072 6.454 0.754730 7.0e-05 * 0 * 0 * 0 51316.70 139.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.52 * pkssw * -1980 J1848-1243 J1848-1243 18:48:18.0 1.4e-02 -12:43:30 1.0e+00 * 0 * 0 * 0 55595.00 21.224 -5.081 0.414383 2.0e-11 4.41e-16 8.0e-19 * 0 * 0 55595.00 91.96 7.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.15 * pksmb RRAT - -1981 J1848-1414 J1848-1414 18:48:39.1 1.9e-02 -14:14:17 2.2e+00 * 0 * 0 * 0 50866.00 19.903 -5.835 0.297770 3.0e-12 1.41e-17 3.0e-20 6.400e-27 8.8e-27 * 0 50866.00 134.47 9.0e-02 * 0 13.00 0 0.55 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.27 * pks70,pkssw,htru_pks * -1982 B1845-19 J1848-1952 18:48:18.0 4.6e-02 -19:52:31 6.8e+00 * 0 * 0 * 0 48695.00 14.772 -8.254 4.308190 4.0e-11 2.33e-14 1.7e-19 2.200e-28 1.4e-28 * 0 48695.00 18.23 7.0e-02 * 0 17.00 2.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.75 * mol2,pkssw,htru_pks * -1983 J1849-0001 J1849-0001 18:49:01.6 3.0e-02 -00:01:17.6 6.0e-01 * 0 * 0 * 0 55535.29 32.638 0.527 0.038519 1.2e-11 1.42e-14 5.8e-17 * 0 * 0 55535.29 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:XMMU_J184901.6-000117,GRS:IGR_18490- misc NRAD -1984 J1849-0040 J1849-0040 18:49:10.2 8.0e-02 -00:40:20 6.0e+00 * 0 * 0 * 0 52633.00 32.075 0.198 0.672481 1.4e-10 1.11e-14 4.0e-17 * 0 * 0 52633.00 1234.90 1.0e-01 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.78 * pksmb * -1985 J1849+0127 J1849+0127 18:49:44.1 1.5e-01 +01:27:23 4.0e+00 * 0 * 0 * 0 51664.00 34.034 1.043 0.542155 9.0e-11 2.80e-14 6.0e-17 * 0 * 0 51664.00 207.30 2.6e+00 * 0 * 0 0.46 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.69 * pksmb,palfa * - -1986 J1849-0317 J1849-0317 18:49:57.8 3.0e-02 -03:17:31 3.0e+00 * 0 * 0 * 0 51720.00 29.834 -1.173 0.668408 4.0e-11 2.20e-14 1.8e-17 * 0 * 0 51720.00 42.90 2.8e+00 * 0 * 0 0.70 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.27 * pksmb,htru_pks * -1987 J1849+0409 J1849+0409 18:49:03.4 1.3e-02 +04:09:42.3 5.0e-01 * 0 * 0 * 0 53035.00 36.367 2.425 0.761194 1.1e-11 2.16e-14 1.2e-18 * 0 * 0 53035.00 56.10 1.4e+00 * 0 * 0 0.31 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.67 * pksmb,palfa * -1988 J1849-0614 J1849-0614 18:49:45.1 1.9e-02 -06:14:31.5 8.0e-01 * 0 * 0 * 0 52417.00 27.182 -2.469 0.953384 3.0e-11 5.39e-14 6.0e-18 * 0 * 0 52417.00 119.60 1.2e+00 * 0 * 0 0.59 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.52 * pksmb * -1989 B1846-06 J1849-0636 18:49:06.4 4.1e-03 -06:37:06.9 2.2e-01 * 0 * 0 * 0 48736.00 26.773 -2.497 1.451319 1.1e-11 4.62e-14 1.1e-19 -1.400e-26 6.0e-28 * 0 48736.00 148.17 1.2e-02 * 0 26.00 1.0e+00 1.40 1.5e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.85 * jb1,mol2,gb3,pksmb,pks70 * -1990 J1849+2423 J1849+2423 18:49:34.6 4.0e-04 +24:23:45.9 1.2e-02 * 0 * 0 * 0 52199.00 54.731 11.240 0.275641 7.0e-14 1.53e-16 4.0e-21 * 0 * 0 52199.00 62.27 1.6e-03 * 0 2.30 6.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.98 * ar4 * - -1991 J1850-0006 J1850-0006 18:50:47.9 8.0e-02 -00:06:26.1 4.5e+00 * 0 * 0 * 0 54274.60 32.764 0.093 2.191498 5.0e-10 4.32e-15 5.0e-17 * 0 * 0 54274.60 570.00 2.0e+01 * 0 * 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.63 SNR:G32.45+0.1(?) pksmb * -1992 J1850-0026 J1850-0026 18:50:14.7 4.0e-03 -00:26:11.6 2.0e-01 * 0 * 0 * 0 54263.70 32.407 0.066 0.166634 2.0e-12 3.91e-14 2.0e-18 * 0 * 0 54263.70 947.00 5.0e+00 * 0 * 0 1.77 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.71 * pksmb * -1993 J1850+0026 J1850+0026 18:50:45.1 1.0e-02 +00:26:25.6 9.0e-01 * 0 * 0 * 0 51353.00 33.246 0.353 1.081844 3.0e-11 3.59e-16 1.1e-17 * 0 * 0 51353.00 201.40 1.2e+00 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb * -1994 J1850-0031 J1850-0031 18:50:33.3 9.0e-02 -00:31:09 4.0e+00 * 0 * 0 * 0 52015.00 32.369 -0.041 0.734185 1.0e-10 1.26e-15 6.0e-18 * 0 * 0 52015.00 895.00 8.0e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.50 * pksmb * -1995 J1850+0124 J1850+0124 18:50:01.0 8.0e-04 +01:24:34.6 3.0e-02 * 0 * 0 * 0 55383.00 34.025 0.959 0.003560 6.0e-15 1.09e-20 6.0e-22 * 0 * 0 55383.00 118.89 5.0e-02 * 0 * 0 0.20 0 ELL1 * 0 84.9499 4.0e-06 34.0010 2.0e-05 98.75 0.0e+00 6.900e-05 0.0e+00 55217.9638 1.1e-05 6.820e-05 1.2e-06 -1.050e-05 1.3e-06 3.39 * palfa * - -1996 J1850+0242 J1850+0242 18:50:41.6 1.0e-03 +02:42:57.4 3.0e-02 * 0 * 0 * 0 56554.29 35.265 1.403 0.004480 7.0e-14 1.63e-19 5.0e-21 * 0 * 0 56554.29 540.07 9.0e-03 * 0 * 0 * 0 ELL1 * 0 0.7354 1.0e-08 0.4524 9.0e-06 92.54 0.0e+00 9.009e-05 0.0e+00 56468.1795 6.0e-06 9.000e-05 3.0e-05 -4.000e-06 4.0e-06 12.30 * palfa * -1997 J1850+0423 J1850+0423 18:50:23.4 1.0e-02 +04:23:09.2 4.0e-01 * 0 * 0 * 0 54600.00 36.718 2.231 0.290716 3.0e-12 9.14e-17 2.0e-19 * 0 * 0 54600.00 265.80 4.0e-01 * 0 * 0 0.20 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.23 * palfa * -1998 B1848+13 J1850+1335 18:50:35.4 2.2e-03 +13:35:58.3 6.1e-02 * 0 * 0 * 0 49722.00 44.990 6.339 0.345582 4.0e-13 1.49e-15 4.0e-21 -1.060e-26 5.0e-28 * 0 49722.00 60.14 6.6e-03 * 0 6.00 1.0e+00 0.65 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.17 * gb3,ar3,pkssw,pksmb * -1999 J1850+15 J1850+15 18:50:09 5.8e+01 +15:32 1.5e+01 * 0 * 0 * 0 54831.00 46.688 7.292 1.383965 3.0e-06 * 0 * 0 * 0 54831.00 24.70 8.7e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.22 * pkssw RRAT -2000 J1851-0029 J1851-0029 18:51:55.0 1.0e-02 -00:29:58.1 5.0e-01 * 0 * 0 * 0 54143.70 32.542 -0.335 0.518721 9.0e-12 4.74e-15 1.1e-18 * 0 * 0 54143.70 510.00 2.0e+01 * 0 * 0 0.44 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * pksmb * - -2001 J1851-0053 J1851-0053 18:51:03.1 8.0e-02 -00:53:07.3 1.9e+00 * 0 * 0 * 0 52585.00 32.100 -0.318 1.409065 1.6e-10 8.74e-16 8.0e-17 * 0 * 0 52585.00 24.00 4.0e+00 * 0 * 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.96 * pksmb * -2002 J1851-0114 J1851-0114 18:51:16.4 3.0e-02 -01:14:13.4 1.3e+00 * 0 * 0 * 0 53038.00 31.812 -0.527 0.953182 4.0e-11 2.48e-15 4.0e-18 * 0 * 0 53038.00 427.20 1.4e+00 * 0 * 0 0.28 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.22 * pksmb * -2003 J1851+0118 J1851+0118 18:51:52.1 1.3e-01 +01:18:59 5.0e+00 * 0 * 0 * 0 51936.00 34.153 0.504 0.906977 1.4e-10 1.37e-13 9.0e-18 * 0 * 0 51936.00 418.00 7.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.64 * pksmb,palfa * -2004 J1851+0233 J1851+0233 18:51:09.1 1.9e-02 +02:33:46.4 9.0e-01 * 0 * 0 * 0 56700.00 35.181 1.232 0.344018 1.2e-11 2.18e-15 1.3e-18 * 0 * 0 56700.00 606.00 4.0e+00 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.64 * palfa * -2005 J1851-0241 J1851-0241 18:51:15.2 1.0e-01 -02:41:31 3.0e+00 * 0 * 0 * 0 52300.00 30.515 -1.186 0.435194 4.0e-11 7.96e-15 3.0e-18 * 0 * 0 52300.00 515.00 5.0e+00 * 0 * 0 0.20 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.93 * pksmb * - -2006 B1848+04 J1851+0418 18:51:03.2 1.3e-02 +04:18:12.0 3.9e-01 * 0 * 0 * 0 49845.00 36.720 2.046 0.284697 3.0e-12 1.09e-15 1.7e-20 2.240e-25 5.0e-27 * 0 49845.00 115.54 5.0e-02 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * misc,pksmb,palfa * -2007 B1848+12 J1851+1259 18:51:13.2 6.1e-03 +12:59:35.2 1.4e-01 * 0 * 0 * 0 49908.00 44.513 5.932 1.205303 1.1e-10 1.15e-14 8.0e-19 1.470e-25 1.1e-26 * 0 49908.00 70.63 1.7e-03 * 0 8.00 2.0e+00 0.75 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.64 * gb3,pksmb * -2008 J1852+0008 J1852+0008 18:52:42.7 3.0e-02 +00:08:09.6 8.0e-01 * 0 * 0 * 0 52584.00 33.198 -0.222 0.467894 2.0e-11 5.68e-15 7.0e-18 * 0 * 0 52584.00 254.90 1.8e+00 * 0 * 0 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * pksmb * -2009 J1852+0013 J1852+0013 18:52:41.7 2.0e-02 +00:13:57.1 1.2e+00 * 0 * 0 * 0 52633.00 33.282 -0.174 0.957751 5.0e-11 1.40e-14 1.2e-17 * 0 * 0 52633.00 545.00 3.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.58 * pksmb * -2010 B1849+00 J1852+0031 18:52:27.4 1.1e-01 +00:32:02 3.9e+00 * 0 * 0 * 0 49613.00 33.523 0.017 2.180195 1.5e-10 9.70e-14 1.5e-18 -1.700e-26 4.0e-27 * 0 49613.00 787.00 1.7e+01 * 0 * 0 2.20 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * jb2,pksmb,palfa * - -2011 J1852+0033 J1852+0033 18:52:46.6 1.0e-01 +00:33:20.9 1.5e+00 * 0 * 0 * 0 54728.70 33.579 -0.044 11.558713 6.0e-08 0.00e+00 1.4e-13 * 0 * 0 54728.70 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:3XMM_J185246.6+003317 misc AXP,NRAD -2012 J1852+0040 J1852+0040 18:52:38.5 4.0e-02 +00:40:19.8 6.0e-01 * 0 * 0 * 0 54597.00 33.667 0.038 0.104913 4.0e-12 8.68e-18 9.0e-20 * 0 * 0 54597.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.00 SNR:G33.6+0.1(Kes79),XRS:CXOU_J185238.6+ misc NRAD -2013 J1852-0118 J1852-0118 18:52:17.1 3.0e-02 -01:18:14.8 1.7e+00 * 0 * 0 * 0 52611.00 31.868 -0.783 0.451473 3.0e-11 1.76e-15 1.1e-17 * 0 * 0 52611.00 286.00 3.0e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.72 * pksmb * -2014 J1852-0127 J1852-0127 18:52:03.6 4.0e-02 -01:27:23.4 1.4e+00 * 0 * 0 * 0 52608.00 31.706 -0.802 0.428979 3.0e-11 5.15e-15 8.0e-18 * 0 * 0 52608.00 431.00 3.0e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.71 * pksmb * -2015 J1852+0305 J1852+0305 18:52:32.6 5.0e-01 +03:05:05 9.0e+00 * 0 * 0 * 0 51664.00 35.804 1.160 1.326149 8.0e-10 1.02e-16 5.3e-16 * 0 * 0 51664.00 320.00 1.2e+01 * 0 * 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * pksmb,palfa * - -2016 J1852-0635 J1852-0635 18:52:57.3 1.4e-01 -06:35:57 8.0e+00 * 0 * 0 * 0 52477.00 27.225 -3.340 0.524151 1.4e-10 1.46e-14 5.0e-17 * 0 * 0 52477.00 171.00 6.0e+00 * 0 * 0 5.90 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.51 * pksmb,htru_pks * -2017 J1852-2610 J1852-2610 18:52:59.4 1.3e-02 -26:10:12.7 1.8e+00 * 0 * 0 * 0 50866.00 9.458 -11.918 0.336337 6.0e-13 8.77e-17 6.0e-21 1.620e-26 1.6e-27 * 0 50866.00 56.81 1.9e-02 * 0 12.00 0 1.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * pks70,pkssw,htru_pks * -2018 J1853-0004 J1853-0004 18:53:23.0 6.0e-03 -00:04:32.3 4.0e-01 * 0 * 0 * 0 52633.00 33.086 -0.467 0.101436 1.4e-12 5.57e-15 5.0e-19 * 0 * 0 52633.00 437.50 1.0e-01 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.34 * pksmb * -2019 J1853+0011 J1853+0011 18:53:29.9 1.4e-02 +00:11:29.7 5.0e-01 * 0 * 0 * 0 52554.00 33.337 -0.371 0.397882 1.2e-11 3.35e-14 1.6e-18 * 0 * 0 52554.00 568.80 1.6e+00 * 0 * 0 0.30 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.81 * pksmb * -2020 J1853+0056 J1853+0056 18:53:32.6 1.6e-01 +00:56:59 4.0e+00 * 0 * 0 * 0 51665.00 34.017 -0.036 0.275578 6.0e-11 2.14e-14 4.0e-17 * 0 * 0 51665.00 180.90 1.2e+00 * 0 * 0 0.21 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.84 * pksmb,palfa * - -2021 J1853+03 J1853+03 18:53 0 +03:00 0 * 0 * 0 * 0 56657.00 35.780 1.020 0.585530 0 * 0 * 0 * 0 56657.00 290.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.86 * palfa * -2022 J1853+0505 J1853+0505 18:53:04.3 7.0e-02 +05:05:26.1 1.8e+00 * 0 * 0 * 0 53982.00 37.650 1.956 0.905137 3.0e-11 1.28e-15 1.7e-19 * 0 * 0 53982.00 279.00 3.0e+00 * 0 * 0 1.10 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.14 * pksmb * -2023 J1853+0545 J1853+0545 18:53:58.4 1.0e-03 +05:45:55.2 3.0e-02 * 0 * 0 * 0 53882.00 38.354 2.064 0.126400 1.6e-13 6.12e-16 1.6e-21 -1.900e-25 5.0e-26 * 0 53882.00 198.70 5.0e-01 * 0 * 0 1.60 1.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.54 * pksmb,palfa * -2024 J1853-0649 J1853-0649 18:53:25.4 3.6e-02 -06:49:25.9 2.6e+00 * 0 * 0 * 0 55170.00 27.077 -3.545 1.048132 5.4e-11 1.55e-15 4.4e-17 * 0 * 0 55170.00 44.54 3.6e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.29 * gb350 * -2025 J1853+0853 J1853+0853 18:53:22.0 1.1e-01 +08:53:17 3.0e+00 * 0 * 0 * 0 53097.00 41.071 3.615 3.914658 5.0e-10 5.13e-15 7.0e-17 * 0 * 0 53097.00 214.00 5.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.63 * pksmb * - -2026 J1853+1303 J1853+1303 18:53:57.3 3.7e-06 +13:03:44.0 1.1e-04 * 0 * 0 0.400 3.0e-01 56553.00 44.875 5.367 0.004092 1.4e-17 8.72e-21 7.0e-25 * 0 * 0 56553.00 30.57 8.0e-05 * 0 * 0 0.40 2.0e-01 ELL1H * 0 115.6538 1.4e-08 40.7695 1.3e-07 346.67 0.0e+00 2.369e-05 0.0e+00 56479.8113 6.0e-08 -5.464e-06 6.0e-09 2.305e-05 6.0e-09 1.32 * pksmb * -2027 J1854+00 J1854+00 18:54 0 +00:00 0 * 0 * 0 * 0 56657.00 33.224 -0.570 0.767330 0 * 0 * 0 * 0 56657.00 532.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.96 * palfa * -2028 J1854+0306 J1854+0306 18:54:02.9 3.0e-02 +03:06:14 1.0e+00 * 0 * 0 * 0 54944.00 35.992 0.834 4.557820 1.0e-10 1.45e-13 6.0e-18 * 0 * 0 54944.00 192.40 5.2e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.49 * pksmb RRAT -2029 J1854+0317 J1854+0317 18:54:29.0 7.0e-02 +03:17:31 3.0e+00 * 0 * 0 * 0 54863.50 36.209 0.824 1.366450 2.0e-10 1.85e-15 1.6e-16 * 0 * 0 54863.50 404.00 8.0e+00 * 0 * 0 0.12 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * pksmb,palfa * -2030 J1854+0319 J1854+0319 18:54:00.1 1.2e-02 +03:19:12.8 5.0e-01 * 0 * 0 * 0 56700.00 36.179 0.944 0.628541 1.5e-11 5.51e-17 6.0e-19 * 0 * 0 56700.00 480.20 1.3e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.51 * palfa * - -2031 B1852+10 J1854+1050 18:54:29.3 8.3e-02 +10:46:42 2.2e+00 * 0 * 0 * 0 49692.00 42.887 4.223 0.573197 2.0e-11 6.39e-16 1.7e-19 7.700e-26 1.0e-26 * 0 49692.00 207.20 3.0e-01 * 0 11.00 0 1.03 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.83 * ar2,ar3,ar4,pksmb * -2032 B1851-14 J1854-1421 18:54:44.2 8.3e-03 -14:21:26.4 6.1e-01 * 0 * 0 * 0 49909.00 20.456 -7.209 1.146595 1.4e-11 4.16e-15 1.0e-19 -1.420e-26 1.8e-27 * 0 49909.00 130.40 3.0e-02 * 0 8.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * mol2,pks70,pkssw,htru_pks * -2033 J1854-1557 J1854-1557 18:54:53.6 1.4e+00 -15:57:22 2.0e+01 * 0 * 0 * 0 55124.00 19.024 -7.947 3.453200 1.0e-04 4.52e-15 4.0e-17 * 0 * 0 55124.00 160.00 2.5e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.94 * htru_pks RRAT -2034 J1855+0205 J1855+0205 18:55:42.0 5.0e-03 +02:05:36.4 2.0e-01 * 0 * 0 * 0 54510.00 35.281 0.007 0.246817 9.0e-13 6.47e-17 7.0e-20 * 0 * 0 54510.00 867.30 2.0e-01 * 0 * 0 0.19 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.04 * palfa * -2035 J1855+0306 J1855+0306 18:55:38.2 7.0e-02 +03:06:22 3.0e+00 * 0 * 0 * 0 56700.00 36.175 0.483 1.633565 1.8e-10 6.97e-15 8.0e-18 * 0 * 0 56700.00 634.00 6.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.46 * palfa * - -2036 J1855+0307 J1855+0307 18:55:26.6 3.0e-02 +03:07:20.2 9.0e-01 * 0 * 0 * 0 52632.00 36.167 0.533 0.845348 4.0e-11 1.81e-14 1.0e-17 * 0 * 0 52632.00 402.50 1.9e+00 * 0 * 0 0.97 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.93 * pksmb,palfa * -2037 J1855+0422 J1855+0422 18:55:41.3 1.1e-01 +04:22:47 4.0e+00 * 0 * 0 * 0 51446.00 37.314 1.052 1.678106 3.0e-10 9.29e-16 9.0e-17 * 0 * 0 51446.00 438.00 6.0e+00 * 0 * 0 0.45 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.97 * pksmb,palfa * -2038 J1855+0527 J1855+0527 18:55:15.0 1.8e-02 +05:27:40.7 9.0e-01 * 0 * 0 * 0 54248.10 38.227 1.642 1.393484 8.0e-11 2.67e-13 8.0e-18 * 0 * 0 54248.10 362.00 3.0e+00 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.70 * pksmb * -2039 J1855+0700 J1855+0700 18:55:17.7 4.0e-02 +07:00:37.1 9.0e-01 * 0 * 0 * 0 51991.00 39.613 2.337 0.258685 7.0e-12 7.52e-16 6.0e-19 * 0 * 0 51991.00 244.00 4.0e+00 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.35 * pksmb * -2040 J1855-0941 J1855-0941 18:55:15.6 3.0e-02 -09:41:02 1.0e+00 * 0 * 0 * 0 51500.00 24.722 -5.241 0.345401 4.0e-11 2.40e-16 3.0e-18 * 0 * 0 51500.00 151.99 1.4e-01 * 0 * 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.11 * pkssw,pksmb,htru_pks * - -2041 J1856+0102 J1856+0102 18:56:28.5 1.3e-02 +01:02:10.6 5.0e-01 * 0 * 0 * 0 52568.00 34.428 -0.648 0.620217 2.0e-11 1.22e-15 3.0e-18 * 0 * 0 52568.00 554.00 3.0e+00 * 0 * 0 0.38 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.55 * pksmb,palfa * -2042 B1853+01 J1856+0113 18:56:10.6 3.8e-02 +01:13:21.3 1.4e+00 * 0 * 0 * 0 49780.00 34.560 -0.497 0.267440 7.0e-11 2.08e-13 6.0e-19 2.760e-23 3.0e-25 * 0 49780.00 96.74 1.2e-01 * 0 3.40 0 0.19 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 SNR:W44,XRS:PWN[pks02] misc,pksmb,palfa HE[lsg+15] -2043 J1856+0245 J1856+0245 18:56:50.9 3.0e-01 +02:45:47 9.0e+00 * 0 * 0 * 0 54930.00 36.008 0.057 0.080907 4.0e-11 6.21e-14 4.0e-18 * 0 * 0 54930.00 623.50 2.0e-01 * 0 * 0 0.58 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.32 GRS:HESS_J1857+026,XRS:AX_J185651+0245 palfa * -2044 J1856+0404 J1856+0404 18:56:26.6 3.0e-01 +04:04:26 5.0e+00 * 0 * 0 * 0 51664.00 37.128 0.745 0.420252 9.0e-11 3.71e-17 5.7e-17 * 0 * 0 51664.00 341.30 7.0e-01 * 0 * 0 0.48 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.23 * pksmb,palfa * -2045 J1856-0526 J1856-0526 18:56:21.9 1.5e-02 -05:26:56.8 8.0e-01 * 0 * 0 * 0 53095.00 28.636 -3.575 0.370483 7.0e-12 1.70e-15 9.0e-19 * 0 * 0 53095.00 130.50 4.0e-01 * 0 * 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * pksmb,htru_pks * - -2046 J1856-3754 J1856-3754 18:56:35.4 1.6e-01 -37:54:08 2.0e+00 326.800 4.0e-01 -60.300 3.0e-01 6.200 6.0e-01 50450.00 358.606 -17.212 7.055203 3.0e-08 2.98e-14 7.0e-16 * 0 * 0 53000.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 XRS:RX_J1856.5-3754,OPT:[kkvh11] misc XINS,NRAD -2047 B1854+00 J1857+0057 18:57:00.8 3.2e-02 +00:57:16.8 1.4e+00 * 0 * 0 * 0 49694.00 34.417 -0.805 0.356929 4.0e-12 5.46e-17 3.0e-20 -4.100e-27 4.1e-27 * 0 49694.00 82.39 1.1e-01 * 0 5.00 0 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.51 * misc,ar4,pksmb,palfa * -2048 J1857+0143 J1857+0143 18:57:33.0 1.5e-02 +01:43:47.0 9.0e-01 * 0 * 0 * 0 52632.00 35.168 -0.571 0.139760 4.0e-12 3.12e-14 1.2e-18 * 0 * 0 52632.00 249.00 3.0e+00 * 0 * 0 0.74 1.8e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.57 * pksmb,palfa HE[lsg+15] -2049 J1857+0210 J1857+0210 18:57:40.9 4.0e-02 +02:10:58 3.0e+00 * 0 * 0 * 0 51721.00 35.586 -0.393 0.630983 6.0e-11 1.40e-14 2.0e-17 * 0 * 0 51721.00 783.00 1.1e+01 * 0 * 0 0.30 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.25 * pksmb,palfa * -2050 B1855+02 J1857+0212 18:57:43.6 2.9e-03 +02:12:41.1 1.1e-01 * 0 * 0 * 0 49554.00 35.617 -0.390 0.415823 7.0e-12 4.03e-14 6.0e-20 2.780e-25 5.0e-27 * 0 49554.00 506.77 1.8e-01 * 0 * 0 1.60 1.7e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * jb2,pksmb,palfa * - -2051 J1857+0300 J1857+0300 18:57:16.9 3.0e-02 +03:00:26.0 1.3e+00 * 0 * 0 * 0 56700.00 36.274 0.072 0.772678 4.0e-11 2.65e-15 1.6e-18 * 0 * 0 56700.00 691.00 4.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.66 * palfa * -2052 J1857+0526 J1857+0526 18:57:15.8 8.0e-03 +05:26:28.7 5.0e-01 * 0 * 0 * 0 51800.00 38.438 1.187 0.349951 4.0e-12 6.93e-15 8.0e-19 * 0 * 0 51800.00 466.40 1.2e+00 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.27 * pksmb,palfa * -2053 J1857+0809 J1857+0809 18:57:09.3 3.0e-02 +08:09:04.3 8.0e-01 * 0 * 0 * 0 51991.00 40.839 2.446 0.502924 1.3e-11 4.74e-15 8.0e-19 * 0 * 0 51991.00 282.00 3.0e+00 * 0 * 0 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.17 * pksmb * -2054 B1855+09 J1857+0943 18:57:36.3 3.2e-06 +09:43:17.1 1.1e-04 * 0 * 0 0.610 1.8e-01 55367.00 42.290 3.060 0.005362 9.0e-17 1.78e-20 9.0e-25 * 0 * 0 55367.00 13.31 2.5e-03 0.002 2.0e-04 31.00 0 5.00 3.5e+00 ELL1 * 0 12.3272 1.8e-10 9.2308 3.0e-07 276.47 0.0e+00 2.164e-05 0.0e+00 55360.5132 1.9e-08 -2.150e-05 3.0e-08 2.440e-06 1.8e-08 1.20 * ar2,ar3,pksmb * -2055 J1857-1027 J1857-1027 18:57:26.4 5.0e-02 -10:27:01 2.0e+00 * 0 * 0 * 0 51650.00 24.275 -6.063 3.687219 3.0e-10 1.05e-14 6.0e-17 * 0 * 0 51650.00 108.90 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * pkssw,htru_pks * - -2056 J1858+02 J1858+02 18:58 0 +02:00 0 * 0 * 0 * 0 56657.00 35.460 -0.547 0.197650 0 * 0 * 0 * 0 56657.00 492.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * palfa * -2057 J1858+0215 J1858+0215 18:58:17.4 1.4e-01 +02:15:38 8.0e+00 * 0 * 0 * 0 51720.00 35.725 -0.493 0.745828 3.0e-10 4.61e-15 9.0e-17 * 0 * 0 51720.00 702.00 1.0e-01 * 0 * 0 0.22 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.21 * pksmb,palfa * -2058 J1858+0241 J1858+0241 18:58:53.8 1.4e-01 +02:41:38 6.0e+00 * 0 * 0 * 0 52111.00 36.180 -0.430 4.693233 1.2e-09 2.43e-14 9.0e-17 * 0 * 0 52111.00 336.00 1.5e+01 * 0 * 0 0.10 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pksmb * -2059 J1858+0319 J1858+0319 18:58:40.8 3.0e-02 +03:19:21.5 1.0e+00 * 0 * 0 * 0 56700.00 36.714 -0.094 0.867444 4.0e-11 1.03e-16 1.5e-18 * 0 * 0 56700.00 284.00 3.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.78 * palfa * -2060 J1858+0346 J1858+0346 18:58:22.3 2.0e-02 +03:46:37.8 8.0e-01 * 0 * 0 * 0 54510.00 37.083 0.182 0.256844 5.0e-12 2.04e-15 4.0e-19 * 0 * 0 54510.00 386.00 1.0e+00 * 0 * 0 0.19 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * palfa * - -2061 J1858-0736 J1858-0736 18:58:44.3 7.0e-01 -07:37 7.0e+00 * 0 * 0 * 0 56108.50 26.964 -5.079 0.551059 2.0e-09 5.06e-15 7.0e-17 * 0 * 0 56108.50 194.00 0 * 0 * 0 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.15 * pksmb * -2062 J1858-2216 J1858-2216 18:58 0 -22:16 0 * 0 * 0 * 0 55561.00 13.566 -11.324 0.002380 0 * 0 * 0 * 0 55561.00 26.60 0 * 0 * 0 * 0 BT * 0 46.1000 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 GRS:2FGL_J1858.3-2218[naa+12] FermiAssoc * -2063 J1859+00 J1859+00 18:59:46 1.6e+01 +00:35 5.0e+00 * 0 * 0 * 0 49717.00 34.401 -1.587 0.559634 3.0e-06 * 0 * 0 * 0 49717.00 420.00 3.0e+00 * 0 * 0 4.80 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.70 * ar4,pksmb,palfa * -2064 J1859+0601 J1859+0601 18:59:45.7 5.0e-02 +06:01:46.1 1.8e+00 * 0 * 0 * 0 52503.00 39.245 0.903 1.044313 1.5e-10 2.55e-14 4.0e-17 * 0 * 0 52503.00 276.00 7.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.42 * pksmb,palfa * -2065 J1859+0603 J1859+0603 18:59:42.1 1.6e-02 +06:03:54.5 5.0e-01 * 0 * 0 * 0 56700.00 39.270 0.932 0.508561 1.7e-11 1.59e-15 1.0e-18 * 0 * 0 56700.00 378.60 2.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.99 * palfa * - -2066 J1859+1526 J1859+1526 18:59:44.3 7.0e-03 +15:26:11.0 2.0e-01 * 0 * 0 * 0 49079.50 47.637 5.181 0.933972 1.9e-11 3.93e-15 6.0e-19 * 0 * 0 49079.50 97.45 1.0e-02 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * ar3 * -2067 J1859+76 J1859+76 18:59 6.0e+00 +76:54 1.8e+01 * 0 * 0 * 0 56292.00 108.341 25.942 1.393617 8.7e-05 * 0 * 0 * 0 56292.00 47.00 2.0e+00 * 0 3.30 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.90 * gbncc * -2068 J1900-0051 J1900-0051 19:00:46.6 7.0e-03 -00:51:08.4 5.0e-01 * 0 * 0 * 0 51912.00 33.238 -2.467 0.385194 6.0e-12 1.42e-16 9.0e-19 * 0 * 0 51912.00 136.80 7.0e-01 * 0 * 0 0.45 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.23 * pksmb * -2069 J1900+0227 J1900+0227 19:00:38.6 4.0e-02 +02:27:32.0 2.0e+00 * 0 * 0 * 0 51721.00 36.170 -0.925 0.374262 3.0e-11 5.71e-15 1.2e-17 * 0 * 0 51721.00 201.10 1.7e+00 * 0 * 0 0.33 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.51 * pksmb,palfa * -2070 J1900+0308 J1900+0308 19:00:50.5 3.0e-04 +03:08:24.0 1.3e-02 * 0 * 0 * 0 55255.00 36.798 -0.658 0.004909 5.0e-15 5.90e-21 3.0e-22 * 0 * 0 55255.00 249.90 1.1e-02 * 0 * 0 0.10 0 ELL1 * 0 12.4760 1.0e-07 6.7164 4.0e-06 * 0 * 0 55304.4606 3.0e-06 0.000e+00 3.0e-06 0.000e+00 3.1e-06 4.80 * palfa * - -2071 J1900+0438 J1900+0438 19:00:13.3 3.0e-02 +04:38:46.8 1.1e+00 * 0 * 0 * 0 56700.00 38.067 0.169 0.312314 1.8e-11 3.23e-15 8.0e-19 * 0 * 0 56700.00 627.00 6.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.99 * palfa * -2072 J1900+0634 J1900+0634 19:00:28.0 2.0e-02 +06:34:20.9 6.0e-01 * 0 * 0 * 0 52554.00 39.808 0.995 0.389869 2.0e-11 5.13e-15 5.0e-18 * 0 * 0 52554.00 323.40 1.8e+00 * 0 * 0 0.24 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.61 * pksmb,ar4 * -2073 J1900-09 J1900-09 19:00:14 0 -09:28:07 0 * 0 * 0 * 0 55561.00 25.467 -6.240 1.424000 0 * 0 * 0 * 0 55561.00 150.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.98 * htru_pks * -2074 B1857-26 J1900-2600 19:00:47.5 4.0e-03 -26:00:43.8 5.0e-01 -19.900 3.0e-01 -47.300 9.0e-01 0.500 6.0e-01 48891.00 10.342 -13.451 0.612209 7.0e-13 2.05e-16 5.0e-21 -2.760e-27 1.4e-28 * 0 48891.00 37.99 5.0e-03 * 0 131.00 1.2e+01 13.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.70 * mol1,mol2,pks70,pkssw,htru_pks * -2075 J1900+30 J1900+30 19:00:18 1.6e+01 +30:53 5.0e+00 * 0 * 0 * 0 49717.00 61.757 11.802 0.602227 3.0e-06 * 0 * 0 * 0 49717.00 71.84 2.2e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.84 * ar4 * - -2076 B1851-79 J1900-7951 19:00:24.4 5.0e-01 -79:51:48.2 1.2e+00 * 0 * 0 * 0 43565.14 314.322 -27.065 1.279193 6.0e-10 1.86e-15 3.0e-17 * 0 * 0 43565.14 39.00 5.0e+00 * 0 6.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.37 * mol2 * -2077 J1901+00 J1901+00 19:01:32 1.6e+01 +00:26 5.0e+00 * 0 * 0 * 0 49717.00 34.469 -2.048 0.777662 3.0e-06 * 0 * 0 * 0 49717.00 345.50 1.1e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.42 * ar4,pksmb,palfa * -2078 J1901+0124 J1901+0124 19:01:52.5 1.4e-02 +01:24:49.3 8.0e-01 * 0 * 0 * 0 52632.00 35.381 -1.677 0.318817 1.1e-11 3.24e-15 4.0e-18 * 0 * 0 52632.00 314.40 1.3e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.60 * pksmb * -2079 B1859+01 J1901+0156 19:01:34.2 2.1e-03 +01:56:38.2 1.1e-01 * 0 * 0 * 0 49298.00 35.818 -1.367 0.288219 1.0e-12 2.36e-15 1.1e-20 -1.600e-26 4.0e-27 * 0 49298.00 105.39 7.0e-03 * 0 13.70 6.0e-01 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.23 * gb3,pksmb,palfa * -2080 J1901+0234 J1901+0234 19:01:26.9 3.0e-02 +02:34:51.4 1.0e+00 * 0 * 0 * 0 56700.00 36.370 -1.048 0.885240 4.0e-11 2.30e-14 4.0e-18 * 0 * 0 56700.00 404.00 3.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.53 * palfa * - -2081 J1901+0254 J1901+0254 19:01:15.6 7.0e-02 +02:54:41 5.0e+00 * 0 * 0 * 0 52626.00 36.643 -0.855 1.299693 3.0e-10 4.56e-16 1.1e-16 * 0 * 0 52626.00 185.00 5.0e+00 * 0 * 0 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.30 * pksmb,palfa * -2082 J1901+0300 J1901+0300 19:01:59.6 1.0e-04 +03:00:23.3 5.0e-03 * 0 * 0 * 0 56242.00 36.811 -0.974 0.007797 4.0e-15 4.57e-20 1.3e-22 * 0 * 0 56242.00 253.89 2.0e-03 * 0 * 0 0.11 4.0e-03 ELL1 * 0 2.3992 6.0e-09 1.8426 1.0e-06 82.41 0.0e+00 3.027e-06 0.0e+00 55989.5556 1.0e-06 3.000e-06 2.0e-06 4.000e-07 1.0e-06 5.29 * palfa * -2083 J1901-0312 J1901-0312 19:01:15.6 1.8e-02 -03:12:29.5 9.0e-01 * 0 * 0 * 0 52608.00 31.192 -3.646 0.355725 1.4e-11 2.29e-15 6.0e-18 * 0 * 0 52608.00 106.40 1.1e+00 * 0 * 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * pksmb * -2084 J1901-0315 J1901-0315 19:01:16.3 8.0e-02 -03:15:14.3 2.0e+00 * 0 * 0 * 0 53283.00 31.152 -3.669 0.801693 1.1e-10 2.57e-15 4.0e-17 * 0 * 0 53283.00 242.60 1.6e+00 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.45 * pksmb * -2085 J1901+0320 J1901+0320 19:01:03.0 9.0e-02 +03:20:18 4.0e+00 * 0 * 0 * 0 52503.00 36.999 -0.613 0.636584 8.0e-11 5.23e-16 3.0e-17 * 0 * 0 52503.00 393.00 7.0e+00 * 0 * 0 0.89 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.88 * pksmb,palfa * - -2086 B1859+03 J1901+0331 19:01:31.7 2.0e-03 +03:31:05.9 7.0e-02 -7.000 1.5e+01 34.000 3.1e+01 * 0 54336.00 37.213 -0.637 0.655450 4.0e-11 7.46e-15 4.0e-19 3.240e-25 1.6e-26 * 0 50027.00 402.08 1.2e-02 * 0 165.00 1.0e+01 4.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * jb1,ar1,mol2,jb2,gb3,pksmb,palfa * -2087 J1901+0355 J1901+0355 19:01:30.8 4.0e-02 +03:55:58.9 9.0e-01 * 0 * 0 * 0 52352.00 37.580 -0.444 0.554756 3.0e-11 1.27e-14 1.0e-17 * 0 * 0 52352.00 547.00 3.0e+00 * 0 * 0 0.15 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.67 * pksmb,palfa * -2088 J1901+0413 J1901+0413 19:01:10.3 1.0e-01 +04:13:51 6.0e+00 * 0 * 0 * 0 51706.00 37.806 -0.232 2.663080 8.0e-10 1.32e-13 3.0e-16 * 0 * 0 51706.00 352.00 3.0e+00 * 0 * 0 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.34 * pksmb,palfa * -2089 J1901+0435 J1901+0435 19:01:32.2 3.0e-01 +04:35:23 1.0e+01 * 0 * 0 * 0 53041.00 38.167 -0.148 0.690576 3.0e-10 8.67e-15 3.0e-17 * 0 * 0 53041.00 1042.60 1.0e+00 * 0 * 0 4.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.32 * pksmb,palfa * -2090 J1901+0459 J1901+0459 19:01:17.4 4.0e-02 +04:59:06.8 1.2e+00 * 0 * 0 * 0 56700.00 38.490 0.087 0.877044 6.0e-11 1.57e-14 2.0e-18 * 0 * 0 56700.00 1108.00 4.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.07 * palfa * - -2091 J1901+0510 J1901+0510 19:01:57.8 1.1e-01 +05:10:34 4.0e+00 * 0 * 0 * 0 52618.00 38.737 0.025 0.614757 1.2e-10 3.11e-14 4.0e-17 * 0 * 0 52618.00 429.00 7.0e+00 * 0 * 0 0.66 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.92 * pksmb,palfa * -2092 J1901+0511 J1901+0511 19:01:42.9 5.0e-02 +05:11:00.2 1.5e+00 * 0 * 0 * 0 56700.00 38.715 0.084 4.600369 4.0e-10 2.53e-14 1.5e-17 * 0 * 0 56700.00 410.00 7.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * palfa * -2093 J1901+0621 J1901+0621 19:01:05.9 9.0e-02 +06:21:19 4.0e+00 * 0 * 0 * 0 52282.00 39.687 0.756 0.832002 5.0e-11 1.80e-17 3.0e-18 * 0 * 0 52282.00 94.00 7.0e+00 * 0 * 0 0.47 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.94 * palfa,pksmb * -2094 B1859+07 J1901+0716 19:01:38.9 1.3e-02 +07:16:34.8 3.9e-01 * 0 * 0 * 0 49863.00 40.569 1.056 0.643999 4.0e-11 2.29e-15 3.0e-19 3.560e-25 1.4e-26 * 0 49863.00 252.81 7.0e-02 * 0 3.90 0 0.90 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.40 * jb2,pksmb,palfa * -2095 J1901-0906 J1901-0906 19:01:53.0 4.1e-03 -09:06:10.8 3.2e-01 * 0 * 0 * 0 50873.00 25.979 -6.441 1.781928 5.0e-12 1.64e-15 5.0e-20 1.300e-27 5.0e-28 * 0 50873.00 72.68 1.8e-02 * 0 11.00 0 3.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.89 * pks70,pkssw,htru_pks * - -2096 J1901+1306 J1901+1306 19:01:48.7 2.0e-02 +13:06:48.3 7.0e-01 * 0 * 0 * 0 49079.50 45.786 3.683 1.830857 2.0e-10 1.31e-16 1.1e-17 * 0 * 0 49079.50 75.10 6.0e-03 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.50 * ar3 * -2097 J1901-1740 J1901-1740 19:01:18.0 6.0e-02 -17:40:00 6.0e+00 * 0 * 0 * 0 51500.00 18.138 -10.071 1.956858 1.6e-10 8.23e-16 1.6e-17 * 0 * 0 51500.00 24.40 6.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.89 * pkssw,htru_pks * -2098 J1902+02 J1902+02 19:02 0 +02:00 0 * 0 * 0 * 0 56657.00 35.917 -1.436 0.415320 0 * 0 * 0 * 0 56657.00 281.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.06 * palfa * -2099 J1902+0248 J1902+0248 19:02:50.2 7.0e-02 +02:48:56 3.0e+00 * 0 * 0 * 0 52554.00 36.738 -1.249 1.223777 1.7e-10 2.41e-15 3.0e-17 * 0 * 0 52554.00 272.00 1.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.99 * pksmb,palfa * -2100 J1902-0340 J1902-0340 19:02:50.7 1.9e-01 -03:40:18 4.0e+00 * 0 * 0 * 0 52724.00 30.958 -4.209 1.524672 4.0e-10 2.00e-15 1.7e-16 * 0 * 0 52724.00 114.00 6.0e+00 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb * - -2101 B1900+05 J1902+0556 19:02:42.6 3.5e-03 +05:56:25.9 1.1e-01 * 0 * 0 * 0 49722.00 39.501 0.210 0.746577 1.7e-12 1.29e-14 1.2e-20 5.290e-26 4.0e-28 * 0 49722.00 177.49 1.3e-02 * 0 15.00 2.0e+00 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.60 * ar1,jb2,ar4,pksmb,palfa * -2102 B1900+06 J1902+0615 19:02:50.2 2.0e-03 +06:16:33.4 6.0e-02 * 0 * 0 * 0 53390.00 39.814 0.336 0.673503 1.0e-11 7.71e-15 5.0e-19 -2.150e-26 1.1e-27 * 0 54400.00 502.90 1.7e-02 * 0 22.00 4.0e+00 1.10 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * jb2,pksmb,palfa * -2103 J1902+0723 J1902+0723 19:02:13.5 9.0e-02 +07:23:51 4.0e+00 * 0 * 0 * 0 49079.50 40.742 0.984 0.487813 2.0e-10 2.10e-16 5.0e-18 * 0 * 0 49079.50 105.00 3.0e-01 * 0 0.60 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.33 * ar3,pksmb * -2104 J1902-10 J1902-10 19:02:18 0 -10:39:33 0 * 0 * 0 * 0 55561.00 24.622 -7.226 0.786800 0 * 0 * 0 * 0 55561.00 91.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.77 * htru_pks * -2105 J1902-5105 J1902-5105 19:02:02.8 9.0e-05 -51:05:56.9 8.0e-04 -4.800 1.3e+00 -4.400 1.6e+00 * 0 55520.00 345.650 -22.379 0.001742 1.6e-16 9.20e-21 1.3e-24 * 0 * 0 55520.00 36.25 1.0e-02 * 0 * 0 1.20 5.0e-01 ELL1 * 0 2.0118 9.0e-10 1.9020 7.0e-07 109.60 0.0e+00 5.864e-06 0.0e+00 55162.2816 1.0e-07 5.524e-06 7.0e-13 -1.967e-06 9.0e-13 1.65 GRS:3FGL_J1902.0-5107[aaa+15] FermiAssoc,ghrss HE - -2106 J1902-70 J1902-70 19:02 0 -70 0 * 0 * 0 * 0 55561.00 325.327 -26.264 0.003600 0 * 0 * 0 * 0 55561.00 19.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.92 GRS:2FGL_J1902.7-7053 FermiAssoc * -2107 B1900+01 J1903+0135 19:03:29.9 1.1e-03 +01:35:38.3 4.0e-02 3.000 7.0e+00 -13.000 1.4e+01 * 0 54379.00 35.727 -1.955 0.729306 1.6e-11 4.03e-15 3.0e-19 * 0 * 0 54379.00 245.17 6.0e-03 * 0 58.00 8.0e+00 5.50 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 * jb1,mol2,pksmb,gb4,palfa * -2108 J1903-0258 J1903-0258 19:03:30.3 1.1e-02 -02:58:15.6 7.0e-01 * 0 * 0 * 0 53095.00 31.659 -4.038 0.301459 6.0e-12 6.79e-16 6.0e-19 * 0 * 0 53095.00 113.00 5.0e-01 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * pksmb * -2109 J1903+0327 J1903+0327 19:03:05.7 1.0e-05 +03:27:19.2 6.0e-05 -2.060 7.0e-02 -5.210 1.2e-01 0.400 8.0e-01 55000.00 37.336 -1.014 0.002150 5.0e-17 1.88e-20 1.0e-24 6.100e-26 1.6e-26 * 0 55000.00 297.52 6.0e-04 -0.008 6.0e-04 * 0 1.30 4.0e-01 DD 55015.5816 4.0e-08 95.1741 1.4e-08 105.5935 5.0e-07 141.65 6.0e-07 4.367e-01 3.0e-09 * 0 * 0 * 0 1.86 OPT:[fbw+11] palfa * -2110 J1903+0415 J1903+0415 19:03 0 +04:15 0 * 0 * 0 * 0 56657.00 38.032 -0.628 1.151390 0 * 0 * 0 * 0 56657.00 473.50 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.87 * palfa * - -2111 J1903+0601 J1903+0601 19:03:20.8 1.6e-02 +06:01:34.0 6.0e-01 * 0 * 0 * 0 52146.00 39.650 0.109 0.374117 5.0e-12 1.92e-14 3.0e-19 * 0 * 0 52146.00 388.00 3.0e+00 * 0 * 0 0.26 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.89 * pksmb,palfa * -2112 B1900-06 J1903-0632 19:03:37.9 2.6e-03 -06:32:21.9 1.4e-01 * 0 * 0 * 0 50023.00 28.479 -5.679 0.431887 6.0e-11 3.40e-15 3.0e-19 1.000e-25 4.0e-26 * 0 50023.00 195.61 1.0e-02 * 0 23.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.45 * jb1,mol2,pks70,pkssw,htru_pks * -2113 J1903+0654 J1903+0654 19:03:55.2 5.0e-02 +06:54:39.4 1.6e+00 * 0 * 0 * 0 56700.00 40.502 0.388 0.791232 7.0e-11 1.06e-14 4.0e-18 * 0 * 0 56700.00 329.00 7.0e+00 * 0 * 0 0.11 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.93 * palfa * -2114 J1903-0848 J1903-0848 19:03:11.2 1.8e-02 -08:48:57.4 8.0e-01 * 0 * 0 * 0 54987.00 26.382 -6.601 0.887325 4.0e-11 1.33e-15 2.0e-18 * 0 * 0 54987.00 66.99 4.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.61 * gb350 * -2115 J1903+0925 J1903+0925 19:03:55.1 2.0e-01 +09:25:55 6.0e+00 * 0 * 0 * 0 53396.00 42.743 1.543 0.357155 9.0e-11 3.69e-14 1.3e-17 * 0 * 0 53396.00 162.00 6.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.25 * pksmb * - -2116 J1903+2225 J1903+2225 19:03:52.9 2.0e-02 +22:25:12.3 3.0e-01 * 0 * 0 * 0 49079.50 54.363 7.427 0.651185 1.4e-10 4.45e-16 1.0e-17 * 0 * 0 49079.50 109.20 3.0e-02 * 0 0.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.76 * ar3 * -2117 J1903-7051 J1903-7051 19:03:38.7 3.0e-04 -70:51:43.4 2.0e-03 -8.800 1.6e+00 -16.000 2.0e+00 * 0 56526.00 324.391 -26.508 0.003598 1.1e-15 1.04e-20 6.0e-23 * 0 * 0 56526.00 19.66 1.0e-02 * 0 * 0 0.60 0 ELL1 * 0 11.0508 2.0e-08 9.9389 2.0e-06 86.65 0.0e+00 2.030e-06 0.0e+00 56027.2293 7.0e-07 2.026e-06 5.0e-13 1.186e-07 5.0e-14 0.93 GRS:3FGL_J1903.6-7052[aaa+15] FermiAssoc HE[ckr+15] -2118 J1904+0004 J1904+0004 19:04:12.7 1.5e-03 +00:04:05.2 4.0e-02 8.000 9.0e+00 -7.000 1.6e+01 * 0 54377.00 34.450 -2.811 0.139525 1.2e-12 1.18e-16 3.0e-20 * 0 * 0 54377.00 233.61 4.0e-02 * 0 16.00 0 2.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.36 * pks70,pksmb * -2119 J1904-0150 J1904-0150 19:04:55.5 1.0e-02 -01:50:32.5 5.0e-01 * 0 * 0 * 0 53107.00 32.828 -3.841 0.379387 6.0e-12 8.90e-16 8.0e-19 * 0 * 0 53107.00 162.20 5.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * pksmb * -2120 J1904+0412 J1904+0412 19:04:31.3 4.0e-03 +04:12:05.9 1.0e-01 * 0 * 0 * 0 51450.00 38.163 -0.988 0.071095 3.0e-13 1.10e-19 3.0e-20 * 0 * 0 51450.00 185.90 7.0e-01 * 0 * 0 0.23 5.0e-02 BT 51449.4500 2.5e-01 14.9343 2.0e-06 9.6348 1.0e-04 350.00 6.0e+00 2.200e-04 2.0e-05 * 0 * 0 * 0 4.58 * pksmb,palfa * - -2121 J1904+0451 J1904+0451 19:04:59.3 2.0e-04 +04:51:54.9 8.0e-03 * 0 * 0 * 0 56242.00 38.806 -0.787 0.006092 4.0e-15 5.72e-21 3.0e-22 * 0 * 0 56242.00 182.71 4.0e-03 * 0 * 0 0.12 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.40 * palfa * -2122 J1904+0738 J1904+0738 19:04:07.5 1.0e-03 +07:38:51.6 4.0e-02 * 0 * 0 * 0 54760.00 41.180 0.680 0.208958 2.0e-13 4.11e-16 7.0e-21 * 0 * 0 54760.00 278.32 8.0e-02 * 0 * 0 0.23 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.15 * palfa * -2123 J1904+0800 J1904+0800 19:04:03.5 2.0e-02 +08:00:52.6 9.0e-01 * 0 * 0 * 0 51911.00 41.498 0.863 0.263345 9.0e-12 1.73e-14 3.0e-18 * 0 * 0 51911.00 438.80 1.3e+00 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.95 * pksmb,palfa * -2124 B1901+10 J1904+1011 19:04:02.4 2.0e-02 +10:11:34.6 5.0e-01 * 0 * 0 * 0 51600.00 43.433 1.865 1.856570 7.0e-11 2.76e-16 8.0e-18 * 0 * 0 51600.00 135.00 2.0e+00 * 0 4.40 3.0e-01 0.58 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.50 * ar1,ar2,ar3,pksmb,palfa * -2125 J1904-1224 J1904-1224 19:04:33.2 1.3e-02 -12:24:01.3 1.1e+00 * 0 * 0 * 0 51037.00 23.291 -8.490 0.750808 3.0e-12 7.42e-16 3.0e-20 -3.000e-27 2.1e-27 * 0 51037.00 118.23 4.0e-02 * 0 6.00 0 0.29 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.27 * pks70,pkssw,htru_pks * - -2126 J1904-16 J1904-16 19:04:45 0 -16:24:47 0 * 0 * 0 * 0 55561.00 19.648 -10.277 1.541000 0 * 0 * 0 * 0 55561.00 150.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * htru_pks * -2127 B1902-01 J1905-0056 19:05:27.7 1.4e-03 -00:56:40.9 5.4e-02 * 0 * 0 * 0 49721.00 33.690 -3.551 0.643181 3.0e-12 3.05e-15 3.0e-20 -1.960e-26 9.0e-28 * 0 49721.00 229.13 5.0e-03 * 0 9.80 6.0e-01 0.92 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.64 * gb3,pks70,pksmb,htru_eff * -2128 J1905+0154A J1905+0154A 19:05:15.4 4.0e-01 +01:54:33 2.2e+01 * 0 * 0 * 0 53735.00 36.208 -2.201 0.003193 1.0e-11 * 0 * 0 * 0 53735.00 193.69 8.0e-03 * 0 * 0 0.02 0 ELL1 * 0 0.8126 2.0e-08 0.5886 2.0e-05 * 0 * 0 52493.8330 4.0e-05 * 0 * 0 14.45 GC:NGC6749 misc * -2129 J1905+0400 J1905+0400 19:05:28.2 1.6e-05 +04:00:10.8 6.0e-04 -3.800 1.8e-01 -7.300 4.0e-01 * 0 53700.00 38.095 -1.289 0.003784 3.0e-16 4.91e-21 1.5e-24 * 0 * 0 53700.00 25.69 1.2e-03 -0.001 7.0e-04 * 0 0.05 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * pksmb * -2130 J1905+0600 J1905+0600 19:05:04.3 5.0e-02 +06:00:59.9 1.4e+00 * 0 * 0 * 0 52048.00 39.838 -0.277 0.441210 1.8e-11 1.11e-15 1.0e-18 * 0 * 0 52048.00 730.10 1.9e+00 * 0 * 0 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.81 * pksmb,palfa * - -2131 J1905+0616 J1905+0616 19:05:06.8 5.0e-03 +06:16:16.7 1.0e-01 * 0 * 0 * 0 51631.00 40.069 -0.169 0.989706 7.0e-12 1.35e-13 1.0e-18 * 0 * 0 51631.00 256.05 1.0e-02 * 0 0.50 0 0.51 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.95 * ar4,pksmb,palfa * -2132 B1903+07 J1905+0709 19:05:53.6 2.2e-02 +07:09:19.4 6.1e-01 * 0 * 0 * 0 49466.00 40.944 0.065 0.648040 7.0e-11 4.94e-15 6.0e-19 6.700e-25 3.0e-26 * 0 49466.00 245.34 1.0e-01 * 0 * 0 1.80 1.9e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * jb2,pksmb,palfa * -2133 J1905+0902 J1905+0902 19:05:19.5 2.0e-03 +09:02:32.4 8.0e-02 * 0 * 0 * 0 54570.00 42.555 1.056 0.218253 9.0e-13 3.50e-15 8.0e-20 * 0 * 0 54570.00 433.40 1.0e-01 * 0 * 0 0.10 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.56 * palfa * -2134 J1906+0055 J1906+0055 19:06:48.6 4.0e-05 +00:55:07.8 1.0e-03 * 0 * 0 * 0 56408.00 35.505 -3.000 0.002790 2.0e-16 3.32e-21 1.0e-23 * 0 * 0 56408.00 126.83 9.0e-04 * 0 * 0 0.10 0 ELL1 * 0 0.6096 3.0e-10 0.6250 9.0e-07 315.00 0.0e+00 1.414e-06 0.0e+00 56407.5586 1.0e-07 -1.000e-06 3.0e-07 1.000e-06 2.0e-06 4.48 * palfa * -2135 J1906+0414 J1906+0414 19:06:57.7 7.0e-03 +04:14:29.4 1.3e-01 * 0 * 0 * 0 53677.00 38.478 -1.510 1.043362 9.0e-12 1.15e-14 9.0e-18 * 0 * 0 53677.00 349.00 9.0e+00 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.07 * pksmb * - -2136 J1906+0509 J1906+0509 19:06:56.4 1.6e-02 +05:09:35.6 6.0e-01 * 0 * 0 * 0 56406.00 39.291 -1.083 0.397590 5.0e-12 5.22e-15 4.0e-19 * 0 * 0 56406.00 99.50 1.9e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.09 * palfa * -2137 B1904+06 J1906+0641 19:06:35.2 2.7e-03 +06:41:02.9 1.1e-01 * 0 * 0 * 0 49613.00 40.604 -0.304 0.267275 5.0e-13 2.14e-15 4.0e-21 -6.800e-27 8.0e-28 * 0 49613.00 472.80 3.0e-01 * 0 2.80 6.0e-01 1.70 1.8e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * jb2,pksmb,ar4,palfa * -2138 J1906+0649 J1906+0649 19:06:11.9 3.0e-02 +06:49:48.1 1.0e+00 * 0 * 0 * 0 52317.00 40.690 -0.152 1.286564 1.0e-10 1.52e-16 5.0e-18 * 0 * 0 52317.00 249.00 4.0e+00 * 0 * 0 0.30 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.97 * pksmb * -2139 J1906+0722 J1906+0722 19:06:31.2 1.0e-02 +07:22:55.8 4.0e-01 * 0 * 0 * 0 55716.00 41.216 0.031 0.111524 1.3e-12 3.59e-14 3.0e-20 3.180e-23 1.0e-25 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J1906.5+0720[naa+12] FermiBlind NRAD -2140 J1906+0725 J1906+0725 19:06 0 +07:25 0 * 0 * 0 * 0 56657.00 41.188 0.162 1.536510 0 * 0 * 0 * 0 56657.00 480.40 0 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.07 * palfa * - -2141 J1906+0746 J1906+0746 19:06:48.8 4.0e-02 +07:46:25.9 7.0e-01 * 0 * 0 * 0 54289.00 41.598 0.147 0.144073 5.0e-11 2.03e-14 1.9e-18 5.000e-23 7.0e-24 -1.800e-30 3.0e-31 54289.00 217.75 4.0e-04 * 0 0.90 2.0e-01 0.55 1.5e-01 DD 54288.9299 2.0e-07 0.1660 1.1e-10 1.4200 1.8e-06 76.33 6.0e-04 8.530e-02 6.0e-07 * 0 * 0 * 0 7.40 * palfa * -2142 J1906+0912 J1906+0912 19:06:28.4 3.0e-02 +09:12:56.6 1.5e+00 * 0 * 0 * 0 51360.00 42.840 0.884 0.775345 5.0e-11 1.32e-16 1.9e-17 * 0 * 0 51360.00 265.00 5.0e+00 * 0 * 0 0.32 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.39 * pksmb,palfa * -2143 J1906+1854 J1906+1854 19:06:44.7 2.0e-02 +18:54:08.5 4.0e-01 * 0 * 0 * 0 49079.50 51.501 5.251 1.019093 8.0e-11 2.05e-16 1.9e-18 * 0 * 0 49079.50 156.77 3.0e-03 * 0 4.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.72 * ar3,ar4 * -2144 J1907+0249 J1907+0249 19:07:42.0 4.0e-02 +02:49:41 3.0e+00 * 0 * 0 * 0 52554.00 37.306 -2.323 0.351879 2.0e-11 1.14e-15 4.0e-18 * 0 * 0 52554.00 261.00 6.0e+00 * 0 * 0 0.46 1.2e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.75 * pksmb,palfa * -2145 J1907+0255 J1907+0255 19:07:17.9 4.0e-02 +02:55:02.7 1.0e+00 * 0 * 0 * 0 56700.00 37.339 -2.192 0.618761 3.0e-11 2.23e-16 9.0e-19 * 0 * 0 56700.00 257.00 4.0e+00 * 0 * 0 0.14 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.98 * palfa * - -2146 J1907+0345 J1907+0345 19:07:14.5 1.9e-02 +03:45:10.6 4.0e-01 * 0 * 0 * 0 51999.00 38.075 -1.796 0.240153 5.0e-12 8.22e-15 3.0e-18 * 0 * 0 51999.00 311.70 9.0e-01 * 0 * 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.49 * pksmb,palfa * -2147 J1907+05 J1907+05 19:07 0 +05:00 0 * 0 * 0 * 0 56657.00 39.156 -1.170 0.168680 0 * 0 * 0 * 0 56657.00 456.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.85 * palfa * -2148 J1907+0534 J1907+0534 19:07:23.3 2.0e-01 +05:34:53 1.4e+01 * 0 * 0 * 0 51719.00 39.717 -0.988 1.138403 6.0e-10 3.15e-15 1.2e-16 * 0 * 0 51719.00 524.00 4.0e+00 * 0 * 0 0.36 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.84 * pksmb,palfa * -2149 J1907+0602 J1907+0602 19:07:54.7 1.0e-02 +06:02:16.9 3.0e-01 * 0 * 0 * 0 54935.00 40.182 -0.894 0.106633 5.0e-12 8.68e-14 3.0e-19 1.880e-22 7.0e-24 * 0 54935.00 82.10 1.1e+00 * 0 * 0 0.00 4.0e-04 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.37 GRS:2FGL_J1907.9+0602[naa+12],SNR:G40.5- FermiBlind HE -2150 J1907+0631 J1907+0631 19:07:03.8 1.7e-02 +06:31:18.9 6.0e-01 * 0 * 0 * 0 56985.00 40.515 -0.484 0.323648 1.9e-11 4.52e-13 1.2e-18 * 0 * 0 56985.00 428.60 1.8e+00 * 0 * 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.40 SNR:G40.5-0.5[lsb+17] palfa * - -2151 J1907+0731 J1907+0731 19:07:54.7 3.0e-02 +07:31:21.9 5.0e-01 * 0 * 0 * 0 52352.00 41.500 -0.211 0.363676 1.2e-11 1.84e-14 4.0e-18 * 0 * 0 52352.00 239.80 1.3e+00 * 0 * 0 0.35 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * pksmb,palfa * -2152 J1907+0740 J1907+0740 19:07:44.1 1.3e-02 +07:40:22.6 9.0e-01 * 0 * 0 * 0 51354.00 41.613 -0.102 0.574698 1.7e-11 6.71e-16 7.0e-18 * 0 * 0 51354.00 332.00 3.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.81 * pksmb,palfa * -2153 J1907+0859 J1907+0859 19:07:01.9 1.0e-02 +08:59:43.8 4.0e-01 * 0 * 0 * 0 56700.00 42.707 0.661 1.527042 3.0e-11 5.54e-15 1.2e-18 * 0 * 0 56700.00 190.00 3.0e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * palfa * -2154 J1907+0918 J1907+0918 19:07:22.4 4.0e-03 +09:18:30.7 4.0e-02 * 0 * 0 * 0 51319.00 43.024 0.730 0.226107 6.0e-13 9.43e-14 4.0e-19 * 0 * 0 51319.00 357.90 1.0e-01 * 0 0.40 2.0e-01 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.22 * misc,pksmb,palfa * -2155 J1907+0919 J1907+0919 19:07:14.3 1.0e-02 +09:19:20.1 2.0e-01 0.600 2.0e-01 4.200 4.0e-01 * 0 51052.00 43.021 0.766 5.198346 3.0e-06 9.20e-11 4.0e-12 * 0 * 0 53633.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SNR:G42.8+0.6(?),SGR_1900+14 misc AXP,NRAD - -2156 J1907+1149 J1907+1149 19:07:37.7 6.0e-02 +11:49:37.1 1.7e+00 * 0 * 0 * 0 53445.00 45.290 1.832 1.420160 1.7e-10 1.60e-13 3.0e-17 * 0 * 0 53445.00 202.80 1.5e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.55 * pksmb,palfa * -2157 B1904+12 J1907+1247 19:07:10.7 2.0e-02 +12:47:35.9 5.0e-01 * 0 * 0 * 0 51600.00 46.099 2.373 0.827097 3.0e-11 1.95e-15 4.0e-18 * 0 * 0 51600.00 257.00 1.0e+00 * 0 0.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.52 * ar1 * -2158 J1907-1532 J1907-1532 19:07:06.7 1.0e-02 -15:32:14.9 8.0e-01 * 0 * 0 * 0 55424.00 20.700 -10.413 0.632235 4.0e-11 3.08e-15 2.0e-18 * 0 * 0 55424.00 72.60 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.47 * htru_pks * -2159 B1905+39 J1907+4002 19:07:34.6 8.0e-03 +40:02:05.7 1.1e-01 11.000 4.0e+00 11.000 1.0e+00 * 0 48713.00 70.948 14.203 1.235757 3.0e-12 5.41e-16 2.0e-20 -2.900e-28 1.9e-28 * 0 48713.00 30.97 1.4e-02 * 0 23.00 3.0e+00 1.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * gb1,gb2,gb4 * -2160 J1908+0457 J1908+0457 19:08:16.1 1.0e-01 +04:57:41 2.0e+00 * 0 * 0 * 0 49079.50 39.267 -1.468 0.846793 4.0e-10 9.80e-16 3.0e-17 * 0 * 0 49079.50 360.00 5.0e+00 * 0 * 0 0.93 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.29 * misc,pksmb,palfa * - -2161 J1908+0500 J1908+0500 19:08:05.1 1.0e-02 +05:00:54.4 1.6e-01 * 0 * 0 * 0 49079.50 39.293 -1.403 0.291021 3.0e-11 2.59e-15 1.8e-18 * 0 * 0 49079.50 201.42 2.0e-02 * 0 6.10 0 0.79 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.84 * ar3,pksmb,palfa * -2162 J1908+0734 J1908+0734 19:08:17.0 3.0e-03 +07:34:14.3 1.1e-01 * 0 * 0 * 0 49079.50 41.585 -0.270 0.212353 2.0e-12 8.25e-16 6.0e-20 * 0 * 0 49079.50 11.10 1.1e-02 * 0 3.50 0 0.54 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.67 * ar3,pksmb,palfa * -2163 J1908+0833 J1908+0833 19:08:20.9 1.6e-02 +08:33:31.5 5.0e-01 * 0 * 0 * 0 56700.00 42.469 0.171 0.512111 1.2e-11 1.99e-15 7.0e-19 * 0 * 0 56700.00 700.10 2.0e+00 * 0 * 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.32 * palfa * -2164 J1908+0839 J1908+0839 19:08:18.5 4.0e-02 +08:39:59.2 1.2e+00 * 0 * 0 * 0 51550.00 42.560 0.229 0.185397 1.4e-11 2.39e-15 1.4e-18 * 0 * 0 51550.00 512.10 2.4e+00 * 0 * 0 0.49 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.27 * pksmb,palfa * -2165 J1908+0909 J1908+0909 19:08:07.4 1.3e-02 +09:09:12.4 5.0e-01 * 0 * 0 * 0 51525.00 42.972 0.494 0.336555 1.6e-11 3.49e-14 7.0e-19 1.200e-24 9.0e-25 * 0 51525.00 467.50 1.5e+00 * 0 * 0 0.22 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.87 * pksmb,palfa * - -2166 B1906+09 J1908+0916 19:08:58.7 6.0e-02 +09:16:14 1.0e+00 * 0 * 0 * 0 42832.50 43.173 0.361 0.830270 6.0e-11 9.80e-17 1.4e-17 * 0 * 0 42832.50 249.80 5.0e-01 * 0 5.00 0 0.23 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.56 * ar1,pksmb,palfa * -2167 J1908+2351 J1908+2351 19:08:31.9 7.0e-02 +23:51:41.9 8.0e-01 * 0 * 0 * 0 51561.00 56.144 7.112 0.377578 1.0e-09 1.70e-17 1.0e-18 * 0 * 0 51561.00 101.69 1.5e-02 * 0 0.90 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.40 * ar4 * -2168 B1907+00 J1909+0007 19:09:35.2 2.0e-03 +00:07:57.7 1.1e-01 * 0 * 0 * 0 48740.00 35.123 -3.977 1.016948 4.0e-11 5.52e-15 1.9e-19 1.700e-28 3.0e-27 * 0 48740.00 112.79 6.0e-03 * 0 12.00 7.0e-01 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.36 * misc,mol2,gb2,ar2,pks70,ar4,pksmb,g * -2169 B1907+02 J1909+0254 19:09:38.3 2.8e-03 +02:54:50.6 1.1e-01 * 0 * 0 * 0 49695.00 37.605 -2.713 0.989831 5.0e-12 5.53e-15 5.0e-20 7.410e-26 9.0e-28 * 0 49695.00 171.73 9.0e-03 * 0 21.00 1.0e+00 0.63 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * jb1,mol2,pksmb,gb4,palfa * -2170 J1909+0616 J1909+0616 19:09:51.2 4.0e-02 +06:16:51.8 2.0e+00 * 0 * 0 * 0 51720.00 40.620 -1.210 0.755993 1.8e-10 2.06e-14 8.0e-17 * 0 * 0 51720.00 352.00 4.0e+00 * 0 * 0 0.33 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.56 * pksmb,ar4,palfa * - -2171 J1909+0641 J1909+0641 19:09:29.0 4.0e-03 +06:41:25.8 2.0e-01 * 0 * 0 * 0 54870.00 40.941 -0.940 0.741762 6.0e-12 3.22e-15 7.0e-19 * 0 * 0 54870.00 36.70 2.0e-01 * 0 * 0 0.11 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.33 * palfa RRAT -2172 J1909+0749 J1909+0749 19:09:08.2 2.0e-01 +07:49:32 5.0e+00 * 0 * 0 * 0 54870.00 41.909 -0.340 0.237161 9.0e-11 1.52e-13 9.0e-18 * 0 * 0 54870.00 539.36 5.0e-02 * 0 * 0 0.23 7.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.29 * palfa * -2173 J1909+0912 J1909+0912 19:09:19.9 5.0e-02 +09:12:53.7 1.7e+00 * 0 * 0 * 0 51496.00 43.164 0.258 0.222949 1.5e-11 3.58e-14 5.0e-18 * 0 * 0 51496.00 421.50 1.7e+00 * 0 * 0 0.35 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.61 * pksmb,palfa * -2174 B1907+10 J1909+1102 19:09:48.6 1.0e-03 +11:02:03.3 2.5e-02 * 0 * 0 * 0 49912.00 44.832 0.992 0.283641 9.0e-13 2.64e-15 3.0e-20 -2.020e-24 4.0e-26 * 0 54200.00 149.98 4.0e-03 * 0 50.00 3.0e+00 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.80 * jb1,ar1,mol2,jb2,gb3,ar3,ar4,pksmb, * -2175 J1909+1148 J1909+1148 19:09:31.3 3.0e-03 +11:48:59.8 8.0e-02 * 0 * 0 * 0 56700.00 45.494 1.416 0.448945 3.0e-12 7.25e-17 8.0e-20 * 0 * 0 56700.00 199.80 5.0e-01 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.13 * palfa * - -2176 J1909+1450 J1909+1450 19:09:26.9 8.0e-02 +14:50:58 2.0e+00 * 0 * 0 * 0 49079.50 48.181 2.827 0.996108 4.0e-10 2.19e-16 1.5e-17 * 0 * 0 49079.50 119.50 2.0e-01 * 0 1.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.41 * ar3 * -2177 J1909+1859 J1909+1859 19:09:18.6 8.0e-03 +18:59:10.7 1.1e-01 * 0 * 0 * 0 49079.50 51.852 4.749 0.542451 4.0e-11 9.70e-17 3.0e-18 * 0 * 0 49079.50 64.52 2.6e-02 * 0 5.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.45 * ar3,ar4 * -2178 J1909+21 J1909+21 19:09:32 6.4e+01 +21:03 1.5e+01 * 0 * 0 * 0 57022.00 53.722 5.639 0.002560 0 * 0 * 0 * 0 57022.00 62.00 0 * 0 * 0 * 0 BT * 0 0.1500 0 0.1200 0 * 0 * 0 * 0 * 0 * 0 2.59 GRS:P7R4_J1909+2102(?)[cck+16] FermiAssoc * -2179 J1909-3744 J1909-3744 19:09:47.4 1.1e-06 -37:44:14.4 5.0e-05 -9.517 5.0e-03 -35.797 1.7e-02 0.810 3.0e-02 54500.00 359.731 -19.596 0.002947 3.0e-18 1.40e-20 5.0e-26 * 0 * 0 54500.00 10.39 0 -0.000 6.0e-06 * 0 2.10 1.7e+00 T2 53631.3900 4.0e-02 1.5334 1.3e-11 1.8980 4.0e-08 156.00 8.0e+00 1.140e-07 1.0e-08 * 0 * 0 * 0 1.14 * pkssw * -2180 J1910-0112 J1910-0112 19:10:15.7 4.0e-01 -01:12:06 1.4e+01 * 0 * 0 * 0 53174.00 34.009 -4.736 1.360603 8.0e-10 1.78e-16 6.0e-17 * 0 * 0 53174.00 178.00 2.6e+01 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.12 * pksmb * - -2181 J1910+0225 J1910+0225 19:10:10.3 1.7e-02 +02:25:23.6 5.0e-01 * 0 * 0 * 0 52586.00 37.229 -3.057 0.337855 1.1e-11 2.62e-16 1.4e-18 * 0 * 0 52586.00 209.00 3.0e+00 * 0 * 0 0.60 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * pksmb * -2182 B1907-03 J1910-0309 19:10:29.6 7.2e-03 -03:09:54.1 2.9e-01 * 0 * 0 * 0 49985.00 32.280 -5.680 0.504605 1.3e-11 2.19e-15 8.0e-20 -1.300e-25 8.0e-27 * 0 49985.00 205.53 3.0e-02 * 0 27.00 3.0e+00 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.44 * mol2,gb3,pks70,pksmb,pkssw * -2183 B1907+03 J1910+0358 19:10:09.0 2.7e-02 +03:58:28.0 1.1e+00 * 0 * 0 * 0 50026.00 38.606 -2.339 2.330263 7.0e-11 4.47e-15 5.0e-19 1.400e-26 3.0e-27 * 0 50026.00 82.93 1.0e-01 * 0 21.00 6.0e+00 1.50 1.6e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.86 * misc,mol2,pksmb * -2184 J1910+0517 J1910+0517 19:10:37.9 1.4e-02 +5:17:56.1 5.0e-01 * 0 * 0 * 0 56700.00 39.838 -1.835 0.308048 1.2e-11 7.30e-16 8.0e-19 7.500e-24 6.0e-25 -1.800e-31 3.0e-32 56700.00 300.00 2.0e+00 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.00 * palfa * -2185 J1910+0534 J1910+0534 19:10:26.5 9.0e-02 +05:34:09 4.0e+00 * 0 * 0 * 0 51709.00 40.056 -1.668 0.452867 9.0e-11 1.92e-15 4.0e-17 * 0 * 0 51709.00 484.00 3.0e+00 * 0 * 0 0.41 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 21.29 * pksmb,palfa * - -2186 J1910+0714 J1910+0714 19:10:18.5 1.6e-02 +07:14:11.8 5.0e-01 * 0 * 0 * 0 49079.50 41.520 -0.870 2.712423 3.0e-10 6.12e-15 1.5e-17 * 0 * 0 49079.50 124.06 5.0e-02 * 0 5.40 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.68 * ar3,pksmb,palfa * -2187 J1910+0728 J1910+0728 19:10:22.0 6.0e-03 +07:28:37.0 1.5e-01 * 0 * 0 * 0 52187.00 41.740 -0.772 0.325415 3.0e-12 8.31e-15 3.0e-19 * 0 * 0 52187.00 283.70 4.0e-01 * 0 * 0 0.87 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.23 * pksmb,palfa * -2188 J1910+1027 J1910+1027 19:10 0 +10:27 0 * 0 * 0 * 0 56657.00 44.335 0.682 0.531470 0 * 0 * 0 * 0 56657.00 705.70 0 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 16.74 * palfa * -2189 B1907+12 J1910+1231 19:10:13.5 3.7e-02 +12:31:40.2 1.4e+00 * 0 * 0 * 0 48741.00 46.205 1.591 1.441742 1.5e-11 8.23e-15 7.0e-20 1.400e-27 5.0e-28 * 0 48741.00 258.64 1.2e-01 * 0 5.00 0 0.28 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.14 * ar1,ar3,pksmb,palfa * -2190 J1910+1256 J1910+1256 19:10:09.7 6.2e-06 +12:56:25.4 1.4e-04 * 0 * 0 * 0 56131.00 46.564 1.795 0.004984 2.0e-17 9.68e-21 5.0e-25 * 0 * 0 56131.00 30.07 5.0e-04 * 0 * 0 0.50 1.0e-01 DD 56125.6531 9.0e-04 58.4667 8.0e-09 21.1291 3.0e-07 106.01 6.0e-03 2.302e-04 1.8e-08 * 0 * 0 * 0 1.32 * pksmb,palfa * - -2191 J1910-5959A J1910-5959A 19:11:42.7 3.0e-05 -59:58:26.9 3.0e-04 -3.080 6.0e-02 -3.970 6.0e-02 * 0 51920.00 336.525 -25.730 0.003266 9.0e-17 2.95e-21 1.4e-25 * 0 * 0 51920.00 33.70 1.6e-03 0.001 3.6e-04 * 0 0.21 0 DD 51919.2065 5.5e-08 0.8371 3.0e-11 1.2060 7.0e-07 * 0 * 0 * 0 * 0 * 0 4.55 GC:NGC6752,XRS:[fhc+14] pksgc * -2192 J1910-5959B J1910-5959B 19:10:52.0 5.0e-04 -59:59:00.8 6.0e-03 * 0 * 0 * 0 52000.00 336.494 -25.628 0.008358 2.0e-15 -7.90e-19 5.0e-23 * 0 * 0 52000.00 33.28 4.0e-02 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[bgh+06,fhc+14] pksgc * -2193 J1910-5959C J1910-5959C 19:11:05.5 4.0e-04 -60:00:59.7 4.0e-03 -4.100 1.7e+00 -4.600 2.5e+00 * 0 51910.00 336.464 -25.662 0.005277 1.5e-15 2.16e-21 2.0e-23 * 0 * 0 51910.00 33.21 4.0e-02 * 0 * 0 0.24 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[bgh+06,fhc+14] pksgc * -2194 J1910-5959D J1910-5959D 19:10:52.4 5.0e-04 -59:59:05.4 5.0e-03 * 0 * 0 * 0 51910.00 336.493 -25.629 0.009035 4.0e-15 9.64e-19 6.0e-23 * 0 * 0 51910.00 33.28 2.0e-02 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[bgh+06,fhc+14] pksgc * -2195 J1910-5959E J1910-5959E 19:10:52.1 6.0e-04 -59:59:02.0 7.0e-03 * 0 * 0 * 0 51910.00 336.494 -25.628 0.004572 2.0e-15 -4.34e-19 3.0e-23 * 0 * 0 51910.00 33.31 3.0e-02 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 GC:NGC6752,XRS:[fhc+14] pksgc * - -2196 J1911+00 J1911+00 19:11:48 2.9e+01 +00:37 7.0e+00 * 0 * 0 * 0 52318.00 35.808 -4.247 6.940000 1.0e-02 * 0 * 0 * 0 52318.00 100.00 3.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.05 * pksmb RRAT -2197 B1908+00A J1911+0101A 19:11:11.0 4.0e-05 +01:02:09.7 2.0e-03 * 0 * 0 * 0 53000.00 36.111 -3.918 0.003619 2.0e-15 -6.58e-21 2.0e-23 * 0 * 0 53000.00 202.68 3.0e-03 * 0 * 0 * 0 ELL1 * 0 0.1410 6.0e-10 0.0377 2.0e-06 * 0 0.000e+00 1.3e-04 53000.0518 8.0e-07 * 0 * 0 9.50 GC:NGC6760,OPT:[bvvh03] misc * -2198 J1911+0101B J1911+0101B 19:11:12.5 4.0e-04 +01:01:50.4 2.0e-02 * 0 * 0 * 0 53000.00 36.109 -3.926 0.005384 9.0e-15 -2.00e-21 3.0e-22 * 0 * 0 53000.00 196.69 2.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.50 GC:NGC6760 misc * -2199 J1911+09 J1911+09 19:11 0 +09:00 0 * 0 * 0 * 0 56657.00 43.163 -0.207 0.273710 0 * 0 * 0 * 0 56657.00 334.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.24 * palfa * -2200 J1911+10 J1911+10 19:11 0 +10:00 0 * 0 * 0 * 0 56657.00 44.050 0.256 0.190890 0 * 0 * 0 * 0 56657.00 446.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.09 * palfa * - -2201 J1911-1114 J1911-1114 19:11:49.2 3.0e-05 -11:14:22.4 3.0e-03 -13.750 1.6e-01 -9.100 1.0e+00 * 0 55000.00 25.137 -9.579 0.003626 5.0e-15 1.39e-20 4.0e-23 * 0 * 0 55000.00 31.02 1.1e-01 -0.020 2.0e-02 31.00 9.0e+00 0.50 2.0e-01 DD * 0 2.7166 7.0e-10 1.7629 9.0e-07 120.96 0.0e+00 1.633e-06 0.0e+00 50455.6118 1.3e-06 1.400e-06 1.1e-06 -8.400e-07 9.1e-07 1.07 XRS:[pb15] pks70 * -2202 J1911+1347 J1911+1347 19:11:55.2 2.4e-06 +13:47:34.3 5.4e-05 * 0 * 0 0.420 1.7e-01 56936.00 47.518 1.809 0.004626 1.3e-17 1.69e-20 1.3e-24 * 0 * 0 56936.00 30.99 9.0e-04 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * pksmb * -2203 J1911+1758 J1911+1758 19:11:55.3 6.0e-03 +17:58:45.7 1.1e-01 * 0 * 0 * 0 49079.50 51.238 3.738 0.460406 1.4e-10 1.31e-17 5.0e-19 * 0 * 0 49079.50 48.98 1.6e-01 * 0 1.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.96 * ar3 * -2204 B1910+10 J1912+1036 19:12:46.3 1.0e-02 +10:36:41.6 3.0e-01 * 0 * 0 * 0 51600.00 44.794 0.152 0.409349 6.0e-12 1.58e-14 8.0e-19 * 0 * 0 51600.00 147.00 5.0e-01 * 0 1.60 1.0e-01 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.15 * ar1,pksmb,palfa * -2205 B1910+20 J1912+2104 19:12:43.3 1.1e-02 +21:04:33.8 2.1e-01 * 0 * 0 * 0 48740.00 54.086 4.989 2.232969 8.0e-12 1.02e-14 4.0e-20 -2.670e-27 1.2e-28 * 0 48740.00 88.60 6.2e-03 * 0 6.00 1.0e+00 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.37 * jb1,ar3 * - -2206 J1912+2525 J1912+2525 19:12:18.6 1.0e-02 +25:25:02.1 1.1e-01 * 0 * 0 * 0 49079.50 57.933 7.042 0.621976 6.0e-11 2.25e-16 4.0e-18 * 0 * 0 49079.50 37.85 1.6e-03 * 0 1.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * ar3 * -2207 B1911-04 J1913-0440 19:13:54.1 1.6e-03 -04:40:47.6 7.0e-02 7.000 1.3e+01 -5.000 9.0e+00 * 0 46634.00 31.307 -7.124 0.825936 9.0e-12 4.07e-15 3.0e-20 1.610e-26 5.0e-28 * 0 46634.00 89.39 1.0e-02 * 0 118.00 9.0e+00 4.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.04 * mol1,jb1,mol2,gb2,pks70,pkssw * -2208 J1913+0446 J1913+0446 19:13:50.8 4.0e-02 +04:46:06 2.0e+00 * 0 * 0 * 0 51832.34 39.736 -2.790 1.616130 1.6e-10 2.79e-13 1.6e-17 * 0 * 0 51832.34 109.10 1.7e+00 * 0 * 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * pksmb * -2209 J1913+0617 J1913+0617 19:13 0 +06:17 0 * 0 * 0 * 0 56657.00 40.983 -1.903 0.005030 0 * 0 * 0 * 0 56657.00 155.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.76 * palfa * -2210 J1913+0657 J1913+0657 19:13:32.9 4.0e-02 +06:57:24.3 1.0e+00 * 0 * 0 * 0 56700.00 41.644 -1.712 1.257181 7.0e-11 2.83e-15 7.0e-18 * 0 * 0 56700.00 142.00 3.0e+00 * 0 * 0 0.05 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.07 * palfa * - -2211 J1913+0832 J1913+0832 19:13:00.5 2.0e-02 +08:32:05.1 5.0e-01 * 0 * 0 * 0 51685.00 42.980 -0.862 0.134409 1.1e-11 4.57e-15 8.0e-19 -2.700e-24 2.5e-24 * 0 51685.00 355.20 1.0e+00 * 0 * 0 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.20 * pksmb,palfa * -2212 J1913+0904 J1913+0904 19:13:21.0 8.0e-03 +09:04:45.4 4.0e-01 * 0 * 0 * 0 53249.00 43.502 -0.684 0.163246 1.1e-11 1.76e-14 8.0e-19 -2.300e-23 8.0e-24 * 0 53249.00 95.30 6.0e-01 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 GRS:[hsg+14] pksmb,palfa HE -2213 B1911+09 J1913+0936 19:13:52.7 2.0e-02 +09:36:41.8 3.0e-01 * 0 * 0 * 0 51600.00 44.034 -0.553 1.241965 3.0e-11 4.32e-16 4.0e-18 * 0 * 0 51600.00 157.00 2.0e+00 * 0 0.80 1.0e-01 0.14 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * ar1,pksmb,palfa * -2214 J1913+1000 J1913+1000 19:13:03.5 5.0e-02 +10:00:02.4 1.4e+00 * 0 * 0 * 0 52187.00 44.285 -0.194 0.837148 5.0e-11 1.67e-14 6.0e-18 * 0 * 0 52187.00 422.00 3.0e+00 * 0 * 0 0.53 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * pksmb,palfa * -2215 J1913+1011 J1913+1011 19:13:20.3 3.0e-03 +10:11:22.9 7.0e-02 * 0 * 0 * 0 51697.00 44.485 -0.167 0.035909 1.5e-13 3.37e-15 6.0e-20 * 0 * 0 51697.00 178.80 3.0e-01 * 0 * 0 0.50 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.61 * pksmb,palfa * - -2216 J1913+1050 J1913+1050 19:13:35.3 9.0e-03 +10:50:26.6 3.0e-01 * 0 * 0 * 0 56700.00 45.090 0.081 0.190067 3.0e-12 1.95e-16 1.2e-19 * 0 * 0 56700.00 231.10 9.0e-01 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.45 * palfa * -2217 J1913+1102 J1913+1102 19:13:29.0 3.0e-04 +11:02:05.7 9.0e-03 * 0 * 0 * 0 56357.00 45.250 0.194 0.027285 1.5e-14 1.61e-19 3.0e-21 * 0 * 0 56357.00 338.96 2.0e-02 * 0 * 0 0.02 0 DD 56241.0297 5.0e-06 0.2063 6.0e-09 1.7546 8.0e-06 264.28 9.0e-03 8.954e-02 1.0e-05 * 0 * 0 * 0 7.13 * palfa * -2218 J1913+1103 J1913+1103 19:13 0 +11:03 0 * 0 * 0 * 0 56657.00 45.208 0.306 0.923910 0 * 0 * 0 * 0 56657.00 628.90 0 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.19 * palfa * -2219 J1913+1145 J1913+1145 19:13:43.8 6.0e-02 +11:45:33.1 1.1e+00 * 0 * 0 * 0 51290.00 45.920 0.476 0.306069 3.0e-11 5.02e-15 1.1e-17 * 0 * 0 51290.00 637.00 2.2e+00 * 0 * 0 0.43 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.78 * pksmb,palfa * -2220 J1913+1330 J1913+1330 19:13:17.9 8.0e-03 +13:30:32.8 1.0e-01 * 0 * 0 * 0 53987.00 47.421 1.381 0.923391 2.0e-11 8.68e-15 2.0e-19 * 0 * 0 53987.00 175.64 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.18 * pksmb,palfa RRAT - -2221 B1911+13 J1913+1400 19:13:24.3 1.2e-03 +14:00:52.7 2.9e-02 * 0 * 0 * 0 49910.00 47.882 1.592 0.521473 1.7e-12 8.04e-16 1.4e-20 -1.780e-26 1.0e-27 * 0 49910.00 145.05 5.0e-03 * 0 5.20 7.0e-01 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.25 * ar1,ar2,ar3,pksmb,palfa * -2222 J1913+3732 J1913+3732 19:13:27.8 3.0e-03 +37:32:12.3 7.0e-02 * 0 * 0 * 0 56100.00 69.097 12.128 0.851079 7.0e-12 1.38e-15 7.0e-19 * 0 * 0 56100.00 72.33 4.1e-03 * 0 * 0 0.38 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.59 * htru_eff,gbncc * -2223 J1914+0219 J1914+0219 19:14:23.7 8.0e-03 +02:19:47.8 3.0e-01 * 0 * 0 * 0 53040.00 37.633 -4.037 0.457527 1.1e-11 1.02e-15 4.0e-19 -1.400e-24 3.0e-25 * 0 53040.00 233.80 4.0e-01 * 0 * 0 1.53 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.13 * pksmb * -2224 J1914+0631 J1914+0631 19:14:17.2 4.0e-02 +06:31:56.3 1.0e+00 * 0 * 0 * 0 52582.00 41.352 -2.071 0.693811 5.0e-11 3.32e-17 1.3e-17 * 0 * 0 52582.00 58.00 3.0e+00 * 0 * 0 0.26 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.78 * pksmb,palfa * -2225 J1914+0659 J1914+0659 19:14:17.6 2.0e-03 +07:01:11.0 7.0e-02 * 0 * 0 * 0 56351.00 41.785 -1.846 0.018512 3.0e-14 3.10e-20 3.0e-21 * 0 * 0 56351.00 225.30 2.0e-01 * 0 * 0 0.33 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.47 * palfa * - -2226 J1914+08 J1914+08 19:14:18 3.0e+01 +08:45 7.0e+00 * 0 * 0 * 0 57388.00 43.319 -1.045 0.440048 2.0e-06 * 0 * 0 * 0 57388.00 285.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.83 * pks_superb * -2227 B1911+11 J1914+1122 19:14:10.1 1.0e-02 +11:22:03.7 2.0e-01 * 0 * 0 * 0 42826.50 45.623 0.199 0.600997 9.0e-11 6.56e-16 1.4e-18 * 0 * 0 42826.50 100.00 1.0e+01 * 0 1.10 0 0.55 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * ar1,ar4,pksmb,palfa * -2228 J1915+0227 J1915+0227 19:15:02.1 5.0e-03 +02:27:47.7 1.6e-01 * 0 * 0 * 0 53036.00 37.825 -4.117 0.317306 1.6e-12 2.99e-16 1.5e-19 * 0 * 0 53036.00 192.60 5.0e-01 * 0 * 0 0.40 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.28 * pksmb * -2229 J1915+0738 J1915+0738 19:15:24.8 2.0e-02 +07:38:31.4 8.0e-01 * 0 * 0 * 0 49079.50 42.466 -1.803 1.542704 1.0e-10 3.31e-15 3.0e-18 * 0 * 0 49079.50 39.00 8.0e-02 * 0 1.90 0 0.34 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.40 * ar3,pksmb,palfa * -2230 J1915+0752 J1915+0752 19:15:01.9 2.0e-02 +07:52:09.2 6.0e-01 * 0 * 0 * 0 53048.00 42.623 -1.614 2.058314 7.0e-11 1.39e-16 9.0e-18 * 0 * 0 53048.00 105.30 3.0e-01 * 0 1.70 1.0e-01 0.21 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * ar4,pksmb,palfa * - -2231 J1915+0838 J1915+0838 19:15:13.8 3.0e-02 +08:38:59.7 1.3e+00 * 0 * 0 * 0 52025.00 43.337 -1.295 0.342777 4.0e-11 1.57e-15 4.0e-18 * 0 * 0 52025.00 358.00 3.0e+00 * 0 * 0 0.29 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.85 * pksmb,palfa * -2232 B1913+10 J1915+1009 19:15:29.9 2.0e-03 +10:09:43.6 4.0e-02 * 0 * 0 * 0 53300.00 44.707 -0.651 0.404547 4.0e-12 1.53e-14 1.7e-19 1.320e-26 1.8e-27 * 0 54348.00 241.69 1.0e-02 * 0 23.00 2.0e+00 1.30 1.4e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 * ar1,jb2,ar2,ar3,pksmb,palfa * -2233 J1915-11 J1915-11 19:15 2.0e+00 -11:30 3.6e+01 * 0 * 0 * 0 56657.00 25.244 -10.394 2.177000 2.0e-04 * 0 * 0 * 0 56657.00 91.06 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.49 * gb350 RRAT -2234 J1915+1144 J1915+1144 19:15 0 +11:44 0 * 0 * 0 * 0 56657.00 46.041 0.189 0.173650 0 * 0 * 0 * 0 56657.00 338.30 0 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.22 * palfa * -2235 J1915+1149 J1915+1149 19:15 0 +11:49 0 * 0 * 0 * 0 56657.00 46.115 0.228 0.100040 0 * 0 * 0 * 0 56657.00 702.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.17 * palfa * - -2236 J1915+1410 J1915+1410 19:15:35.4 1.2e-02 +14:10:51.5 3.0e-01 * 0 * 0 * 0 53399.00 48.275 1.200 0.297494 7.0e-12 4.89e-17 8.0e-19 * 0 * 0 53399.00 273.70 3.0e-01 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.13 * pksmb,palfa * -2237 B1913+16 J1915+1606 19:15:27.9 3.0e-05 +16:06:27.3 5.0e-04 -1.230 4.0e-02 -0.830 4.0e-02 * 0 52984.00 49.968 2.122 0.059030 1.1e-14 8.62e-18 4.0e-22 * 0 * 0 52984.00 168.77 1.0e-02 * 0 4.00 1.0e+00 0.90 2.0e-01 DDH 52144.9010 3.0e-08 0.3230 3.0e-12 2.3418 3.0e-06 292.54 8.0e-05 6.171e-01 4.0e-07 * 0 * 0 * 0 5.25 * ar1,ar4,pksmb * -2238 B1913+167 J1915+1647 19:15:19.1 2.4e-02 +16:47:08.5 5.4e-01 * 0 * 0 * 0 48867.00 50.552 2.468 1.616231 8.0e-12 4.05e-16 5.0e-20 -4.700e-29 3.0e-28 * 0 48867.00 62.57 7.0e-02 * 0 4.50 8.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * ar1,ar2,ar3,ar4,palfa * -2239 J1916+0748 J1916+0748 19:16:51.5 2.0e-01 +07:48:00 5.0e+00 * 0 * 0 * 0 53048.00 42.772 -2.047 0.541752 1.7e-10 1.07e-14 1.7e-17 * 0 * 0 53048.00 304.00 1.5e+00 * 0 1.14 9.0e-02 2.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.78 * ar4,pksmb,palfa * -2240 J1916+0844 J1916+0844 19:16:19.0 9.0e-03 +08:44:07.0 4.0e-01 * 0 * 0 * 0 52018.00 43.538 -1.493 0.439995 8.0e-12 2.90e-15 4.0e-19 * 0 * 0 52018.00 339.40 8.0e-01 * 0 * 0 0.44 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.00 * pksmb,palfa * - -2241 J1916+0852 J1916+0852 19:16:24.6 3.0e-01 +08:52:36 5.0e+00 * 0 * 0 * 0 52352.00 43.674 -1.448 2.182746 6.0e-10 1.31e-14 3.0e-16 * 0 * 0 52352.00 295.00 1.0e+01 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.41 * pksmb,palfa * -2242 B1914+09 J1916+0951 19:16:32.3 1.7e-03 +09:51:25.9 4.3e-02 * 0 * 0 * 0 49910.00 44.556 -1.019 0.270254 8.0e-13 2.52e-15 6.0e-21 -3.140e-26 1.9e-27 * 0 49910.00 60.95 6.0e-03 * 0 20.00 2.0e+00 0.91 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.90 * ar1,mol2,jb2,gb3,ar2,ar3,pksmb,palf * -2243 J1916+1023 J1916+1023 19:16:36.9 1.5e-01 +10:23:03 6.0e+00 * 0 * 0 * 0 52529.00 45.031 -0.790 1.618339 8.0e-10 6.81e-16 1.4e-16 * 0 * 0 52529.00 329.80 1.0e-01 * 0 * 0 0.36 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.75 * pksmb * -2244 B1913+105 J1916+1030 19:16:11.7 1.0e-02 +10:30:53.4 6.0e-01 * 0 * 0 * 0 47469.83 45.099 -0.638 0.628970 6.0e-11 3.40e-17 2.0e-18 * 0 * 0 47469.83 387.20 3.0e-01 * 0 * 0 0.22 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.15 * misc,pksmb,palfa * -2245 J1916+1225 J1916+1225 19:16:20.0 1.0e-03 +12:25:53.9 4.0e-02 * 0 * 0 * 0 54570.00 46.811 0.225 0.227387 2.0e-12 2.35e-14 2.0e-19 * 0 * 0 54570.00 265.31 3.0e-02 * 0 * 0 0.09 2.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.49 * palfa * - -2246 B1914+13 J1916+1312 19:16:58.6 3.6e-03 +13:12:50.0 1.1e-01 * 0 * 0 * 0 49568.00 47.576 0.451 0.281842 5.0e-11 3.65e-15 5.0e-19 -1.350e-24 1.4e-25 * 0 49568.00 237.01 1.1e-02 * 0 12.00 1.0e+00 1.20 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.50 * ar1,jb2,ar3,pksmb,palfa * -2247 J1917+0834 J1917+0834 19:17:48.8 6.0e-03 +08:34:54.6 1.4e-01 * 0 * 0 * 0 52345.00 43.575 -1.892 2.129665 4.0e-12 1.75e-14 2.0e-19 * 0 * 0 52345.00 29.18 6.0e-02 * 0 0.44 1.0e-01 0.31 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.23 * misc,pksmb * -2248 B1915+13 J1917+1353 19:17:39.7 1.0e-03 +13:53:56.9 2.9e-02 0.000 1.2e+01 -6.000 1.5e+01 * 0 49763.00 48.260 0.624 0.194631 4.0e-12 7.20e-15 3.0e-20 2.550e-25 1.5e-26 * 0 49763.00 94.54 4.0e-03 * 0 43.00 3.0e+00 1.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * misc,ar1,mol2,jb2,gb3,ar2,ar3,pksmb * -2249 J1917+1737 J1917+1737 19:17:23.9 5.0e-03 +17:37:31.6 1.0e-01 * 0 * 0 * 0 55070.00 51.528 2.418 0.334725 4.0e-12 3.24e-16 1.0e-18 * 0 * 0 55070.00 208.00 2.0e-01 * 0 * 0 0.05 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.53 * palfa * -2250 B1915+22 J1917+2224 19:17:44.2 5.7e-02 +22:22:48.8 1.1e+00 * 0 * 0 * 0 49724.00 55.785 4.553 0.425897 1.1e-11 2.86e-15 6.0e-20 -2.000e-26 7.0e-27 * 0 49724.00 134.75 3.4e-03 * 0 3.00 0 0.36 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.96 * ar2 * - -2251 J1918-0642 J1918-0642 19:18:48.0 3.0e-06 -06:42:34.9 1.8e-04 * 0 * 0 0.890 1.2e-01 55330.00 30.027 -9.123 0.007646 1.0e-17 2.57e-20 1.8e-25 * 0 * 0 55330.00 26.46 3.0e-02 * 0 5.90 6.0e-01 0.58 2.0e-02 ELL1 * 0 10.9132 1.6e-10 8.3505 1.7e-07 219.48 0.0e+00 2.034e-05 0.0e+00 55334.1636 1.3e-08 -1.293e-05 1.8e-08 -1.570e-05 1.1e-08 1.12 * pkssw,htru_pks * -2252 J1918-1052 J1918-1052 19:18:48.2 1.3e-02 -10:52:46.3 6.6e-01 * 0 * 0 * 0 55026.00 26.226 -10.963 0.798693 1.5e-11 8.65e-16 1.5e-18 * 0 * 0 55026.00 62.73 8.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.97 * gb350 * -2253 J1918+1310 J1918+1310 19:18 0 +13:10 0 * 0 * 0 * 0 56657.00 47.650 0.209 0.856740 0 * 0 * 0 * 0 56657.00 247.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.30 * palfa * -2254 B1916+14 J1918+1444 19:18:23.6 6.1e-03 +14:45:06.0 1.4e-01 * 0 * 0 * 0 49690.00 49.096 0.866 1.181023 9.0e-11 2.12e-13 9.0e-19 -3.020e-25 1.1e-26 * 0 49690.00 27.20 1.7e-02 * 0 1.60 0 1.00 1.1e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.30 * ar1,jb2,ar3,pksmb,palfa HE[zkgl09] -2255 J1918+1541 J1918+1541 19:18:07.7 6.0e-02 +15:41:15.2 7.0e-01 * 0 * 0 * 0 49079.50 49.894 1.360 0.370883 1.9e-10 2.54e-15 1.3e-17 * 0 * 0 49079.50 13.00 2.0e+00 * 0 0.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.80 * ar3 * - -2256 B1917+00 J1919+0021 19:19:50.6 5.0e-03 +00:21:39.8 2.0e-01 -2.000 3.0e+01 -1.000 1.0e+01 * 0 49427.00 36.506 -6.151 1.272260 3.0e-11 7.67e-15 1.7e-19 1.660e-26 1.9e-27 * 0 49427.00 90.31 1.6e-02 * 0 16.00 1.0e+00 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.10 * jb1,mol2,gb2,gb3,pks70,ar4,pkssw * -2257 J1919+0134 J1919+0134 19:19:43.6 3.0e-02 +01:34:56.5 7.0e-01 * 0 * 0 * 0 51650.00 37.582 -5.563 1.603984 6.0e-11 5.89e-16 1.1e-17 * 0 * 0 51650.00 191.90 4.0e-01 * 0 * 0 0.77 9.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.36 * pkssw,pksmb * -2258 J1919+1314 J1919+1314 19:19:32.9 5.0e-03 +13:14:37.3 1.0e-01 * 0 * 0 * 0 54790.00 47.895 -0.088 0.571400 2.0e-12 3.79e-15 6.0e-20 * 0 * 0 54790.00 613.40 2.0e-01 * 0 * 0 0.22 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.03 * palfa * -2259 J1919+1645 J1919+1645 19:19:09.2 2.0e-03 +16:45:22.7 8.0e-02 * 0 * 0 * 0 53560.00 50.954 1.642 0.562790 3.0e-12 2.16e-16 4.0e-19 * 0 * 0 53560.00 208.00 9.0e+00 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.41 * pksngp * -2260 J1919+1745 J1919+1745 19:19:43.3 4.0e-03 +17:45:03.7 8.0e-02 * 0 * 0 * 0 55320.00 51.897 1.987 2.081343 9.0e-12 1.71e-15 4.0e-19 * 0 * 0 55320.00 142.30 2.0e-01 * 0 * 0 0.19 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.09 * palfa RRAT - -2261 J1920-09 J1920-09 19:20:49 0 -09:46:27 0 * 0 * 0 * 0 55561.00 27.459 -10.926 1.038000 0 * 0 * 0 * 0 55561.00 93.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.16 * htru_pks * -2262 J1920+1040 J1920+1040 19:20:55.3 8.0e-02 +10:40:31 3.0e+00 * 0 * 0 * 0 52596.00 45.784 -1.590 2.215802 2.0e-10 6.48e-15 3.0e-17 * 0 * 0 52596.00 304.00 9.0e+00 * 0 * 0 0.57 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.15 * pksmb,palfa * -2263 J1920+1110 J1920+1110 19:20:13.3 6.0e-02 +11:10:59 3.0e+00 * 0 * 0 * 0 51719.00 46.152 -1.199 0.509886 5.0e-11 1.56e-16 1.9e-17 * 0 * 0 51719.00 182.00 3.0e+00 * 0 * 0 0.39 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.14 * pksmb,ar4,palfa * -2264 B1918+26 J1920+2650 19:20:38.3 1.6e-02 +26:50:38.4 2.9e-01 * 0 * 0 * 0 49912.00 60.068 6.027 0.785522 4.0e-12 3.44e-17 4.0e-20 2.900e-28 9.8e-28 * 0 49912.00 27.71 8.2e-04 * 0 6.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.72 * gb2,ar4,gb4 * -2265 J1921+0812 J1921+0812 19:21:47.7 5.0e-03 +08:12:51.8 1.0e-01 * 0 * 0 * 0 53277.00 43.710 -2.934 0.210648 1.4e-12 5.36e-15 6.0e-19 * 0 * 0 53277.00 84.00 6.0e-01 * 0 * 0 0.66 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 * pksmb * - -2266 B1919+14 J1921+1419 19:21:24.1 1.5e-02 +14:19:17.1 3.9e-01 * 0 * 0 * 0 48741.00 49.058 0.021 0.618183 1.2e-11 5.60e-15 6.0e-20 3.700e-26 3.0e-27 * 0 48741.00 91.64 4.0e-02 * 0 3.20 0 0.68 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.81 * ar1,jb2,pksmb,palfa * -2267 J1921+1544 J1921+1544 19:21:46.4 9.0e-04 +15:44:17.4 2.0e-02 * 0 * 0 * 0 53632.00 50.350 0.609 0.143576 2.0e-13 9.80e-16 2.0e-20 * 0 * 0 53632.00 385.00 2.0e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.04 * pksngp,palfa * -2268 J1921+16 J1921+16 19:21 0 +16:00 0 * 0 * 0 * 0 56657.00 50.494 0.896 0.936430 0 * 0 * 0 * 0 56657.00 204.70 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * palfa * -2269 B1918+19 J1921+1948 19:21:03.7 1.6e-02 +19:48:44.7 3.6e-01 * 0 * 0 * 0 48739.00 53.869 2.672 0.821035 6.0e-12 8.96e-16 3.0e-20 1.700e-27 6.0e-28 * 0 48739.00 153.85 5.0e-02 * 0 34.00 4.0e+00 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.32 * jb1,ar1,mol2,gb3,ar2,ar3,gb4 * -2270 B1919+20 J1921+2003 19:21:51.5 8.0e-03 +20:03:20.8 8.0e-01 * 0 * 0 * 0 51600.00 54.172 2.621 0.760681 1.0e-11 5.00e-17 1.0e-18 * 0 * 0 51600.00 101.00 1.0e+00 * 0 2.30 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.29 * ar1 * - -2271 B1919+21 J1921+2153 19:21:44.8 2.0e-03 +21:53:02.2 4.0e-02 17.000 4.0e+00 32.000 6.0e+00 * 0 48999.00 55.777 3.501 1.337302 9.0e-13 1.35e-15 8.0e-21 -1.100e-28 5.0e-29 * 0 48999.00 12.44 6.3e-04 * 0 57.00 8.0e+00 6.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * misc,jb1,ar1,gb1,gb3,ar2,ar3,gb4 * -2272 J1921+42 J1921+42 19:21:56 4.0e+01 +42:25 8.0e+00 * 0 * 0 * 0 56292.00 74.326 12.733 0.595201 1.5e-05 * 0 * 0 * 0 56292.00 53.00 1.0e+00 * 0 8.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.71 * gbncc * -2273 J1922+1131 J1922+1131 19:22:50.2 3.0e-02 +11:31:58.5 6.0e-01 * 0 * 0 * 0 56700.00 46.762 -1.601 0.562074 3.0e-11 2.57e-17 1.0e-18 * 0 * 0 56700.00 335.00 3.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.49 * palfa * -2274 J1922+1733 J1922+1733 19:22:53.2 7.0e-04 +17:33:23.4 2.0e-02 * 0 * 0 * 0 53595.00 52.080 1.230 0.236171 3.0e-13 1.34e-14 4.0e-20 * 0 * 0 53595.00 238.00 4.0e+00 * 0 * 0 1.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.36 * pksngp,palfa * -2275 B1920+20 J1922+2018 19:22:08.0 2.9e-02 +20:17:57.3 5.7e-01 * 0 * 0 * 0 49670.00 54.417 2.678 1.172763 1.2e-11 6.49e-16 9.0e-20 -1.300e-27 1.2e-27 * 0 49670.00 203.31 1.0e-01 * 0 3.80 7.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * ar1,ar3 * - -2276 B1920+21 J1922+2110 19:22:53.5 5.9e-03 +21:10:41.9 1.4e-01 * 0 * 0 * 0 49879.00 55.278 2.935 1.077924 5.0e-11 8.18e-15 5.0e-19 1.300e-26 8.0e-27 * 0 49879.00 217.09 1.8e-02 * 0 30.00 1.0e+00 1.40 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * jb1,ar1,gb1,gb3,ar2,ar3 * -2277 J1922+58 J1922+58 19:22 3.0e+00 +58:28 1.8e+01 * 0 * 0 * 0 56292.00 89.671 19.073 0.529623 1.0e-05 * 0 * 0 * 0 56292.00 53.00 1.0e+00 * 0 3.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.37 * gbncc * -2278 B1921+17 J1923+1706 19:23:07.8 1.0e-02 +17:06:09.4 2.0e-01 * 0 * 0 * 0 51600.00 51.707 0.965 0.547209 8.0e-12 4.30e-17 1.0e-18 * 0 * 0 51600.00 142.50 6.0e-01 * 0 1.50 1.0e-01 0.41 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * ar1,ar3,ar4,palfa * -2279 J1923+2515 J1923+2515 19:23:22.4 5.6e-06 +25:15:40.5 1.1e-04 * 0 * 0 1.200 5.0e-01 56583.00 58.946 4.749 0.003788 1.5e-17 9.56e-21 8.0e-25 * 0 * 0 56583.00 18.86 1.8e-04 * 0 * 0 0.22 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.20 * gb350 * -2280 J1924+1628 J1924+1628 19:24 0 +16:28 0 * 0 * 0 * 0 56657.00 51.245 0.481 0.375090 0 * 0 * 0 * 0 56657.00 542.90 0 * 0 * 0 0.09 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.66 * palfa * - -2281 J1924+1631 J1924+1631 19:24:54.8 3.0e-02 +16:31:48.8 6.0e-01 * 0 * 0 * 0 54690.00 51.405 0.318 2.935186 2.0e-10 3.64e-13 4.0e-18 * 0 * 0 54690.00 518.50 9.0e-01 * 0 * 0 0.09 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.19 * palfa * -2282 J1924+1639 J1924+1639 19:24:03.1 5.0e-04 +16:39:40.7 9.0e-03 * 0 * 0 * 0 53720.00 51.422 0.562 0.158043 2.0e-13 2.56e-15 1.0e-20 * 0 * 0 53720.00 208.00 3.0e+00 * 0 * 0 0.21 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.06 * pksngp,palfa * -2283 J1924+17 J1924+17 19:24 0 +17:00 0 * 0 * 0 * 0 56657.00 51.715 0.733 0.758430 0 * 0 * 0 * 0 56657.00 527.40 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.65 * palfa * -2284 B1922+20 J1924+2040 19:24:40 1.2e+01 +20:40:03 3.0e+01 * 0 * 0 * 0 43957.49 55.022 2.328 0.237790 8.0e-09 2.09e-15 1.2e-16 * 0 * 0 43957.49 213.00 1.0e+01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.47 * ar1 * -2285 J1925-16 J1925-16 19:25:06 2.9e+01 -16:01:00 4.2e+02 * 0 * 0 * 0 55196.00 22.130 -14.537 3.885800 2.0e-04 * 0 * 0 * 0 55196.00 88.00 2.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.94 * htru_pks RRAT - -2286 J1925+1720 J1925+1720 19:25:27.0 4.0e-03 +17:20:27.3 8.0e-02 * 0 * 0 * 0 56700.00 52.179 0.590 0.075659 1.1e-12 1.05e-14 1.1e-19 * 0 * 0 56700.00 223.30 1.5e+00 * 0 * 0 0.07 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.06 GRS:3FGL_J1925.4+1727[lsb+17] palfa * -2287 J1925+19 J1925+19 19:25:26 2.8e+01 +19:04 7.0e+00 * 0 * 0 * 0 54346.00 53.697 1.412 1.916353 6.0e-06 * 0 * 0 * 0 54346.00 328.00 1.6e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.33 * pksngp * -2288 B1923+04 J1926+0431 19:26:24.4 9.0e-03 +04:31:31.6 2.5e-01 * 0 * 0 * 0 48716.00 40.980 -5.674 1.074078 4.0e-12 2.46e-15 3.0e-20 1.400e-26 3.0e-28 * 0 48716.00 102.24 1.9e-02 * 0 22.00 2.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.99 * mol2,pkssw,gb4 * -2289 J1926+0737 J1926+0737 19:26:33.7 6.0e-03 +07:37:07.2 3.0e-01 * 0 * 0 * 0 54833.60 43.739 -4.256 0.318062 1.2e-11 3.75e-16 4.0e-18 * 0 * 0 54833.60 159.00 2.0e+00 * 0 * 0 0.11 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.73 * pksmb * -2290 J1926-1314 J1926-1314 19:26:53.8 3.0e-03 -13:14:03.8 1.8e+00 * 0 * 0 * 0 55791.00 24.922 -13.763 4.864284 1.0e-10 3.64e-14 5.0e-18 * 0 * 0 55791.00 40.83 5.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.53 * gb350 * - -2291 B1924+14 J1926+1434 19:26:57.2 2.1e-02 +14:34:55.3 4.6e-01 * 0 * 0 * 0 48717.00 49.923 -1.039 1.324922 9.0e-12 2.19e-16 6.0e-20 5.000e-28 3.8e-28 * 0 48717.00 211.41 8.0e-02 * 0 9.00 0 0.48 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.65 * ar1,jb2,ar3,pksmb,palfa * -2292 J1926+1613 J1926+1613 19:26 0 +16:13 0 * 0 * 0 * 0 56657.00 51.252 -0.060 0.308300 0 * 0 * 0 * 0 56657.00 32.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * palfa * -2293 B1924+16 J1926+1648 19:26:45.3 2.9e-03 +16:48:32.7 6.8e-02 * 0 * 0 * 0 49857.00 51.859 0.063 0.579823 4.0e-11 1.80e-14 3.0e-19 4.100e-26 1.6e-26 * 0 49857.00 176.88 1.1e-02 * 0 8.00 1.0e+00 1.30 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.00 * ar1,jb2,ar2,ar3,ar4,palfa * -2294 B1924+19 J1926+1928 19:26:22.8 4.0e-02 +19:28:11.7 8.0e-01 * 0 * 0 * 0 51600.00 54.158 1.407 1.346012 9.0e-11 1.43e-15 1.0e-17 * 0 * 0 51600.00 445.00 2.0e+00 * 0 0.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.58 * ar1 * -2295 J1926+2016 J1926+2016 19:26:18.0 1.0e-03 +20:16:01.1 3.0e-02 * 0 * 0 * 0 53595.00 54.851 1.802 0.299072 7.0e-13 3.50e-15 6.0e-20 * 0 * 0 53595.00 247.00 5.0e+00 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * pksngp,palfa * - -2296 J1927+0911 J1927+0911 19:27:25.6 8.0e-03 +09:11:05.7 3.0e-01 * 0 * 0 * 0 53454.00 45.224 -3.705 0.290305 5.0e-12 6.35e-17 4.0e-19 * 0 * 0 53454.00 202.70 4.0e-01 * 0 * 0 0.16 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.93 * pksmb * -2297 B1925+18 J1927+1852 19:27:10.4 8.0e-03 +18:52:08.5 2.0e-01 * 0 * 0 * 0 51600.00 53.718 0.956 0.482766 7.0e-12 1.16e-16 1.0e-18 * 0 * 0 51600.00 254.00 1.0e+00 * 0 3.40 1.0e-01 0.44 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.30 * ar1,ar3,palfa * -2298 B1925+188 J1927+1856 19:27:24.9 1.0e-02 +18:56:36.8 2.0e-01 * 0 * 0 * 0 51600.00 53.811 0.941 0.298313 4.0e-12 2.24e-15 8.0e-19 * 0 * 0 51600.00 99.00 1.0e+00 * 0 2.20 1.0e-01 0.55 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.10 * ar1,ar3,palfa * -2299 B1925+22 J1927+2234 19:27:08.0 1.0e-02 +22:34:57.3 2.0e-01 * 0 * 0 * 0 42830.50 56.983 2.730 1.431066 1.7e-11 7.71e-16 3.0e-18 * 0 * 0 42830.50 180.00 3.0e+01 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.71 * ar1,ar3 * -2300 J1928+1443 J1928+1443 19:28:06.7 5.0e-02 +14:43:11.3 1.2e+00 * 0 * 0 * 0 56700.00 50.178 -1.220 1.010739 7.0e-11 2.10e-16 8.0e-18 * 0 * 0 56700.00 101.00 5.0e+00 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.08 * palfa * - -2301 J1928+15 J1928+15 19:28:20 7.0e+00 +15:13 2.0e+00 * 0 * 0 * 0 54466.00 50.640 -1.030 0.403000 0 * 0 * 0 * 0 54466.00 242.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.75 * palfa RRAT -2302 J1928+1746 J1928+1746 19:28:42.5 1.0e-03 +17:46:29.6 3.0e-02 * 0 * 0 * 0 54770.00 52.931 0.114 0.068730 2.0e-13 1.32e-14 6.0e-21 * 0 * 0 54770.00 176.68 5.0e-02 * 0 * 0 0.28 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * palfa * -2303 J1928+1923 J1928+1923 19:28:05.1 5.0e-03 +19:23:31.3 8.0e-02 * 0 * 0 * 0 53640.00 54.281 1.016 0.817330 6.0e-12 6.35e-15 7.0e-19 * 0 * 0 53640.00 476.00 1.4e+01 * 0 * 0 0.64 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.58 * pksngp,palfa * -2304 J1929+00 J1929+00 19:29:28 1.6e+01 +00:26 5.0e+00 * 0 * 0 * 0 49717.00 37.687 -8.253 1.166900 3.0e-06 * 0 * 0 * 0 49717.00 33.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.26 * ar4,pkssw * -2305 J1929+1357 J1929+1357 19:29:10.6 2.0e-02 +13:57:35.9 5.0e-01 * 0 * 0 * 0 56440.00 49.633 -1.810 0.866927 7.0e-11 3.66e-15 3.0e-17 1.000e-23 2.0e-25 -4.200e-31 4.0e-32 56440.00 150.70 3.0e-01 * 0 * 0 2.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.77 * palfa * - -2306 J1929+16 J1929+16 19:29:18 2.8e+01 +16:21 7.0e+00 * 0 * 0 * 0 53480.00 51.747 -0.692 0.529681 2.0e-06 * 0 * 0 * 0 53480.00 12.00 9.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.76 * pksngp * -2307 B1926+18 J1929+1844 19:29:16.7 4.0e-02 +18:44:59.5 7.0e-01 * 0 * 0 * 0 51600.00 53.852 0.461 1.220470 8.0e-11 2.36e-15 1.0e-17 * 0 * 0 51600.00 112.00 2.0e+00 * 0 1.70 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.32 * ar1 * -2308 J1929+19 J1929+19 19:29:32 2.8e+01 +19:05 7.0e+00 * 0 * 0 * 0 53363.00 54.173 0.568 0.339215 4.0e-07 * 0 * 0 * 0 53363.00 527.00 6.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.63 * pksngp * -2309 J1929+1955 J1929+1955 19:29:17.5 6.0e-04 +19:55:07.9 1.0e-02 * 0 * 0 * 0 53595.00 54.879 1.018 0.257832 3.0e-13 2.56e-15 3.0e-20 * 0 * 0 53595.00 281.00 4.0e+00 * 0 * 0 0.42 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.61 * pksngp,palfa * -2310 J1929+2121 J1929+2121 19:29:04.2 2.0e-03 +21:21:22.6 3.0e-02 * 0 * 0 * 0 53635.00 56.117 1.751 0.723599 2.0e-12 2.14e-15 2.0e-19 * 0 * 0 53635.00 66.00 1.2e+01 * 0 * 0 0.23 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.65 * pksngp * - -2311 J1929+62 J1929+62 19:29 3.0e+00 +62:16 1.8e+01 * 0 * 0 * 0 56292.00 93.758 19.635 1.456004 6.6e-05 * 0 * 0 * 0 56292.00 67.70 7.0e-01 * 0 1.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.94 * gbncc * -2312 B1927+13 J1930+1316 19:30:00.9 8.0e-03 +13:16:11.1 2.0e-01 * 0 * 0 * 0 42828.50 49.124 -2.319 0.760032 9.0e-11 3.66e-15 2.0e-18 * 0 * 0 42828.50 207.30 9.0e-01 * 0 5.00 0 0.18 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.34 * ar1,pksmb * -2313 J1930+14 J1930+14 19:30 0 +14:00 0 * 0 * 0 * 0 56657.00 49.764 -1.966 0.425710 0 * 0 * 0 * 0 56657.00 209.20 0 * 0 * 0 0.04 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.94 * palfa * -2314 J1930+17 J1930+17 19:30:44 2.8e+01 +17:25 7.0e+00 * 0 * 0 * 0 53443.00 52.847 -0.481 1.609690 7.0e-07 * 0 * 0 * 0 53443.00 201.00 2.7e+01 * 0 * 0 0.12 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.66 * pksngp,palfa * -2315 J1930-1852 J1930-1852 19:30:29.7 7.0e-04 -18:51:46.2 6.0e-02 * 0 * 0 * 0 56513.00 19.976 -16.873 0.185520 8.0e-14 1.80e-17 6.0e-21 * 0 * 0 56513.00 42.85 4.0e-04 * 0 * 0 * 0 BT 56526.6423 3.0e-06 45.0600 5.0e-07 86.8903 7.0e-06 292.08 2.0e-05 3.989e-01 1.7e-07 * 0 * 0 * 0 2.00 * gb350 * - -2316 J1930+1852 J1930+1852 19:30:30.1 4.0e-02 +18:52:14.1 6.0e-01 * 0 * 0 * 0 52280.00 54.096 0.265 0.136855 9.0e-12 7.51e-13 1.0e-17 * 0 * 0 52280.00 308.00 4.0e+00 * 0 * 0 0.06 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.00 SNR:G54.1+0.3,XRS misc HE -2317 J1931+1439 J1931+1439 19:31:40.4 1.8e-02 +14:39:38.7 4.0e-01 * 0 * 0 * 0 56700.00 50.539 -2.005 1.779226 7.0e-11 6.33e-15 2.0e-18 * 0 * 0 56700.00 243.00 1.6e+01 * 0 * 0 0.08 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.12 * palfa * -2318 B1929+15 J1931+1536 19:31:55.7 1.0e-02 +15:36:57.5 3.0e-01 * 0 * 0 * 0 51600.00 51.406 -1.599 0.314355 6.0e-12 5.01e-15 9.0e-19 * 0 * 0 51600.00 140.00 1.0e+00 * 0 1.20 1.0e-01 0.36 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.01 * ar1,palfa * -2319 J1931+1952 J1931+1952 19:31:55.8 3.0e-03 +19:52:11.5 1.0e-01 * 0 * 0 * 0 53560.00 55.134 0.451 0.501123 4.0e-12 1.01e-16 6.0e-19 * 0 * 0 53560.00 441.00 8.0e+00 * 0 * 0 0.13 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.62 * pksngp,palfa * -2320 J1931+30 J1931+30 19:31:28 1.6e+01 +30:35 5.0e+00 * 0 * 0 * 0 49717.00 64.506 5.674 0.582126 3.0e-06 * 0 * 0 * 0 49717.00 56.00 1.1e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * ar4 * - -2321 B1929+10 J1932+1059 19:32:13.9 3.0e-04 +10:59:32.4 5.0e-03 94.090 1.1e-01 42.990 1.6e-01 2.770 7.0e-02 51544.00 47.382 -3.884 0.226518 5.0e-12 1.16e-15 1.6e-20 1.500e-26 3.0e-27 * 0 46523.00 3.18 1.6e-04 * 0 303.00 7.6e+01 36.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.31 * mol1,jb1,ar1,mol2,ar2,ar3,ar4,pksmb HE[yhh94] -2322 J1932+1500 J1932+1500 19:32:46.3 1.5e-02 +15:00:22.2 4.0e-01 * 0 * 0 * 0 56700.00 50.970 -2.071 1.864332 1.1e-10 4.59e-16 7.0e-18 * 0 * 0 56700.00 90.50 1.8e+00 * 0 * 0 0.19 0 BT 56634.8980 1.4e-02 198.9251 2.0e-04 76.9255 6.0e-04 292.13 2.0e-02 2.893e-02 1.4e-05 * 0 * 0 * 0 2.85 * palfa * -2323 J1932+17 J1932+17 19:32 0 +17:00 0 * 0 * 0 * 0 56657.00 52.628 -0.947 0.041820 0 * 0 * 0 * 0 56657.00 53.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.07 * palfa * -2324 J1932+1916 J1932+1916 19:32:19.7 4.0e-02 +19:16:39 1.0e+00 * 0 * 0 * 0 55214.00 54.661 0.083 0.208215 1.4e-11 9.32e-14 5.0e-19 -3.000e-24 1.0e-24 * 0 55214.00 * 0 * 0 * 0 0.00 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * * FermiBlind NRAD -2325 B1929+20 J1932+2020 19:32:08.0 2.7e-03 +20:20:46.4 5.3e-02 * 0 * 0 * 0 49887.00 55.575 0.639 0.268217 6.0e-12 4.22e-15 4.0e-20 -1.570e-25 1.2e-26 * 0 49887.00 211.15 1.1e-02 * 0 29.00 2.0e+00 1.20 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * ar1,jb2,gb3,ar2,ar3,palfa * - -2326 B1930+22 J1932+2220 19:32:22.7 2.9e-02 +22:20:51.5 5.0e-01 * 0 * 0 * 0 51418.00 57.356 1.554 0.144470 3.0e-11 5.76e-14 3.0e-19 4.390e-23 8.0e-25 * 0 51418.00 219.20 5.0e-01 * 0 7.80 8.0e-01 1.20 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.90 * ar1,gb3,ar2,ar3 * -2327 J1932-3655 J1932-3655 19:32:06.1 8.0e-03 -36:55:02.1 4.0e-01 * 0 * 0 * 0 49542.52 2.072 -23.546 0.571420 1.0e-10 2.84e-16 3.0e-18 * 0 * 0 49542.52 59.88 1.0e-02 * 0 9.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.73 * pks70,pkssw * -2328 J1933+0758 J1933+0758 19:33:19.4 2.0e-03 +07:58:07.0 7.0e-02 * 0 * 0 * 0 53048.00 44.845 -5.565 0.437454 2.0e-12 2.18e-16 2.0e-19 * 0 * 0 53048.00 165.02 4.0e-02 * 0 0.34 3.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.17 * ar4 * -2329 B1930+13 J1933+1304 19:33:22.5 4.0e-03 +13:04:49.9 8.0e-02 * 0 * 0 * 0 51600.00 49.351 -3.127 0.928324 5.0e-12 3.18e-16 7.0e-19 * 0 * 0 51600.00 177.01 1.5e-01 * 0 2.00 1.0e-01 0.42 5.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.09 * ar1,ar3,pksmb * -2330 J1933+1726 J1933+1726 19:33:22.9 3.0e-04 +17:26:49.6 9.0e-03 * 0 * 0 * 0 56466.00 53.179 -1.021 0.021507 1.0e-14 4.90e-20 1.0e-21 * 0 * 0 56466.00 156.90 3.0e-02 * 0 * 0 0.04 0 ELL1 * 0 5.1539 2.0e-08 13.6735 1.0e-05 344.52 0.0e+00 6.745e-05 0.0e+00 56466.1821 6.0e-07 -1.800e-05 1.0e-06 6.500e-05 1.0e-06 4.07 * palfa * - -2331 B1931+24 J1933+2421 19:33:37.8 1.4e-02 +24:36:39.6 3.2e-01 * 0 * 0 * 0 50629.00 59.478 2.394 0.813690 7.0e-11 8.11e-15 7.0e-19 1.160e-24 3.0e-26 * 0 50629.00 106.03 6.0e-02 * 0 7.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.64 * gb3,ar3,gb4 * -2332 J1933-6211 J1933-6211 19:33:32.4 5.0e-05 -62:11:46.8 1.0e-03 -5.540 7.0e-02 10.700 2.0e-01 * 0 53000.00 334.431 -28.632 0.003543 3.0e-16 3.87e-21 9.0e-25 * 0 * 0 53000.00 11.52 2.0e-03 * 0 * 0 2.30 0 ELL1 * 0 12.8194 8.0e-10 12.2816 3.0e-07 103.24 0.0e+00 1.397e-06 0.0e+00 53000.4953 2.0e-07 1.360e-06 4.0e-08 -3.200e-07 3.0e-08 0.65 * pkssw * -2333 J1934+19 J1934+19 19:34 0 +19:00 0 * 0 * 0 * 0 56657.00 54.609 -0.397 0.230990 0 * 0 * 0 * 0 56657.00 97.60 0 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.11 * palfa * -2334 J1934+2352 J1934+2352 19:34:46.1 2.0e-02 +23:52:55.9 3.0e-01 * 0 * 0 * 0 54650.00 58.966 1.814 0.178432 2.0e-11 1.31e-13 2.0e-18 * 0 * 0 54650.00 355.50 2.0e-01 * 0 * 0 0.06 2.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 12.20 * palfa * -2335 J1935+1159 J1935+1159 19:35:16.0 1.4e-02 +11:59:09.2 4.0e-01 * 0 * 0 * 0 53400.00 48.613 -4.059 1.939758 1.6e-10 9.48e-16 6.0e-19 * 0 * 0 53400.00 188.76 6.0e-02 * 0 1.00 0 0.17 3.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.43 * ar4 * - -2336 B1933+16 J1935+1616 19:35:47.8 1.0e-04 +16:16:39.9 2.0e-03 1.130 1.3e-01 -16.090 1.5e-01 0.220 1.2e-01 52275.00 52.436 -2.093 0.358738 6.0e-13 6.00e-15 1.5e-21 1.449e-26 1.1e-28 * 0 46434.00 158.52 3.0e-03 * 0 242.00 2.2e+01 42.00 6.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.70 * jb1,ar1,mol2,gb3,ar2,ar3,ar4,gb4,pa * -2337 J1935+1726 J1935+1726 19:35:03.9 3.0e-03 +17:26:28.4 3.0e-02 * 0 * 0 * 0 55314.00 53.368 -1.374 0.004200 7.0e-15 * 0 * 0 * 0 55314.00 61.60 1.0e-01 * 0 * 0 0.68 0 ELL1 * 0 90.7639 2.0e-05 31.9742 6.0e-05 10.16 0.0e+00 1.758e-04 0.0e+00 54616.7206 1.0e-04 3.100e-05 4.0e-06 1.730e-04 4.0e-06 2.31 * pksngp * -2338 B1933+17 J1935+1745 19:35:29.9 1.0e-02 +17:45:12.2 2.0e-01 * 0 * 0 * 0 51600.00 53.691 -1.313 0.654408 1.0e-12 3.78e-16 2.0e-18 * 0 * 0 51600.00 214.60 4.0e-01 * 0 1.30 1.0e-01 0.16 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * ar1,palfa * -2339 J1935+2025 J1935+2025 19:35:41.9 3.0e-03 +20:25:40.1 3.0e-01 * 0 * 0 * 0 53460.00 56.051 -0.053 0.080118 6.0e-12 6.08e-14 1.0e-19 * 0 * 0 53460.00 182.00 1.0e+00 * 0 * 0 0.53 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.60 * pksngp,palfa * -2340 J1935+2154 J1935+2154 19:34:55.6 1.7e-01 +21:53:48.2 2.3e+00 * 0 * 0 * 0 56866.00 57.247 0.819 3.244980 1.0e-05 * 0 * 0 * 0 56866.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * SGR_1935+2154,SNR:G57.2+0.8(?)[gae14] misc AXP,NRAD - -2341 J1935+52 J1935+52 19:35 2.0e+00 +52:12 1.8e+01 * 0 * 0 * 0 56292.00 84.409 14.906 0.568387 1.7e-05 * 0 * 0 * 0 56292.00 71.00 2.0e+00 * 0 3.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.41 * gbncc * -2342 B1933+15 J1936+1536 19:36:01.5 2.0e-02 +15:36:36.0 2.0e-01 * 0 * 0 * 0 42830.50 51.879 -2.465 0.967338 3.0e-11 4.04e-15 6.0e-18 * 0 * 0 42830.50 165.00 2.0e+01 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.63 * ar1 * -2343 J1936+20 J1936+20 19:36 0 +20:00 0 * 0 * 0 * 0 56657.00 55.712 -0.323 1.390880 0 * 0 * 0 * 0 56657.00 205.10 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.86 * palfa * -2344 J1936+21 J1936+21 19:36:29 2.8e+01 +21:12 7.0e+00 * 0 * 0 * 0 53281.00 56.814 0.164 0.642932 2.0e-06 * 0 * 0 * 0 53281.00 264.00 1.1e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.14 * pksngp,palfa * -2345 J1937-00 J1937-00 19:37:09 3.0e+01 -00:17 8.0e+00 * 0 * 0 * 0 56453.00 37.943 -10.288 0.240100 0 * 0 * 0 * 0 56453.00 68.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.51 * ar327 * - -2346 J1937+1505 J1937+1505 19:37:16.3 1.4e-01 +15:05:19 4.0e+00 * 0 * 0 * 0 51969.00 51.569 -2.981 2.872774 7.0e-10 5.61e-15 3.0e-16 * 0 * 0 51969.00 237.00 1.1e+01 * 0 * 0 0.13 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.45 * pksmb * -2347 B1935+25 J1937+2544 19:37:01.2 1.1e-03 +25:44:13.6 2.1e-02 * 0 * 0 * 0 49703.00 60.836 2.270 0.200980 1.7e-13 6.43e-16 1.3e-21 2.300e-28 5.7e-28 * 0 49703.00 53.22 5.0e-03 * 0 6.60 4.0e-01 2.30 6.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.87 * gb2,ar3 * -2348 J1937+2950 J1937+2950 19:37:47.6 1.4e-02 +29:50:01.8 2.0e-01 * 0 * 0 * 0 54250.00 64.504 4.115 1.657429 3.0e-11 3.48e-15 1.7e-18 * 0 * 0 54250.00 113.99 1.1e-01 * 0 * 0 0.08 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.47 * misc * -2349 J1938+0650 J1938+0650 19:37:53.4 4.0e-02 +06:50:06.0 2.0e-01 * 0 * 0 * 0 51824.00 44.386 -7.101 1.121562 5.0e-09 5.68e-15 1.0e-17 * 0 * 0 51824.00 70.80 2.0e-01 * 0 3.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.83 * ar4,pkssw * -2350 J1938+14 J1938+14 19:38:19 1.2e+02 +14:42 8.0e+00 * 0 * 0 * 0 57022.00 51.352 -3.391 2.902510 0 * 0 * 0 * 0 57022.00 74.20 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.54 * ar327 * - -2351 J1938+2010 J1938+2010 19:38:08.3 2.0e-02 +20:10:51.7 4.0e-01 * 0 * 0 * 0 54940.00 56.115 -0.672 0.687082 2.0e-11 3.40e-15 1.0e-18 * 0 * 0 54940.00 327.70 8.0e-01 * 0 * 0 0.10 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.81 * palfa,pksngp * -2352 J1938+2012 J1938+2012 19:38:40.0 1.0e-04 +20:12:50.8 3.0e-03 * 0 * 0 * 0 56511.00 56.205 -0.764 0.002634 6.0e-16 7.50e-22 6.0e-23 * 0 * 0 56511.00 236.91 5.0e-03 * 0 * 0 0.02 0 ELL1 * 0 16.2558 1.0e-07 8.3178 4.0e-06 107.91 0.0e+00 1.040e-05 0.0e+00 56514.9390 1.0e-06 9.900e-06 8.0e-07 -3.200e-06 9.0e-07 6.29 * palfa * -2353 J1938+2213 J1938+2213 19:38:14.1 3.0e-03 +22:13:12.6 4.0e-02 * 0 * 0 * 0 53500.00 57.903 0.308 0.166116 6.0e-13 4.24e-14 5.0e-19 * 0 * 0 53500.00 91.00 3.0e+00 * 0 1.00 0 0.59 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.42 * ar4,pksngp,palfa * -2354 J1939+10 J1939+10 19:39:11 2.0e+01 +10:45 5.0e+00 * 0 * 0 * 0 49717.00 47.993 -5.497 2.310000 3.0e-02 * 0 * 0 * 0 49717.00 90.00 8.0e+00 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.55 * misc * -2355 B1937+21 J1939+2134 19:39:38.5 2.0e-06 +21:34:59.1 4.0e-05 0.070 4.0e-03 -0.401 5.0e-03 0.220 8.0e-02 55000.00 57.509 -0.290 0.001558 5.0e-17 1.05e-19 3.0e-25 * 0 * 0 55000.00 71.02 1.3e-03 -0.001 3.0e-05 240.00 0 13.20 5.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * ar2,ar3,ar4,palfa HE[tst+01] - -2356 B1937+24 J1939+2449 19:39:05.5 1.3e-02 +24:42:55.6 2.5e-01 * 0 * 0 * 0 50679.00 60.174 1.361 0.645302 3.0e-10 1.83e-14 3.0e-18 9.300e-25 1.4e-25 * 0 50679.00 142.88 7.0e-02 * 0 3.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.11 * ar2,ar3,palfa * -2357 J1939+66 J1939+66 19:40 3.0e+00 +66:12 1.8e+01 * 0 * 0 * 0 56292.00 98.111 19.979 0.022261 5.2e-08 * 0 * 0 * 0 56292.00 41.20 1.0e-01 * 0 2.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.36 * gbncc * -2358 J1940+2245 J1940+2245 19:40:27.6 1.0e-02 +22:45:46.6 2.0e-01 * 0 * 0 * 0 56700.00 58.629 0.127 0.258912 5.0e-12 1.27e-14 1.9e-19 * 0 * 0 56700.00 222.40 1.3e+00 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.08 * palfa * -2359 J1940+2337 J1940+2337 19:40:35.4 7.0e-03 +23:37:46.5 2.0e-01 * 0 * 0 * 0 54560.00 59.397 0.529 0.546824 7.0e-12 7.68e-14 2.0e-19 * 0 * 0 54560.00 252.10 3.0e-01 * 0 * 0 0.07 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.47 * palfa * -2360 J1940-2403 J1940-2403 19:40:30 2.0e+01 -24:03 3.0e+00 * 0 * 0 * 0 49000.00 15.848 -21.007 1.855276 3.0e-06 * 0 * 0 * 0 49000.00 63.30 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.31 * pks70 * - -2361 J1941+01 J1941+01 19:41:58 1.1e+02 +01:46 8.0e+00 * 0 * 0 * 0 57022.00 40.357 -10.398 1.404730 0 * 0 * 0 * 0 57022.00 133.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -2362 J1941+0121 J1941+0121 19:41:16.0 1.6e-02 +01:21:39.5 5.0e-01 * 0 * 0 * 0 55026.00 39.909 -10.434 0.217317 1.0e-11 1.91e-16 5.0e-19 * 0 * 0 55026.00 52.70 7.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 * gb350 * -2363 J1941+1026 J1941+1026 19:41:32.3 8.0e-03 +10:26:25.6 3.0e-01 * 0 * 0 * 0 49079.50 48.004 -6.153 0.905394 2.0e-11 9.96e-16 8.0e-19 * 0 * 0 49079.50 138.91 2.0e-02 * 0 1.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.97 * ar3 * -2364 J1941+1341 J1941+1341 19:41:04.8 1.8e-02 +13:41:30.4 6.0e-01 * 0 * 0 * 0 53041.00 50.799 -4.468 0.559084 1.3e-11 1.24e-15 1.3e-18 * 0 * 0 53041.00 147.90 3.0e-01 * 0 * 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.46 * pksmb * -2365 J1941+2525 J1941+2525 19:41:20.8 1.0e-02 +25:25:05.3 2.0e-01 * 0 * 0 * 0 54920.00 61.037 1.263 2.306153 2.0e-11 1.61e-13 5.0e-19 * 0 * 0 54920.00 314.40 4.0e-01 * 0 * 0 0.24 9.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 11.16 * palfa * - -2366 B1937-26 J1941-2602 19:41:00.4 1.8e-03 -26:02:05.7 1.2e-01 12.000 2.0e+00 -10.000 4.0e+00 * 0 50076.00 13.901 -21.824 0.402858 3.0e-13 9.56e-16 1.8e-21 -7.800e-27 3.0e-28 * 0 50076.00 50.04 3.0e-03 * 0 13.00 1.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.56 * mol2,pks70,pkssw * -2367 J1941+43 J1941+43 19:42 2.0e+00 +43:23 1.8e+01 * 0 * 0 * 0 56292.00 76.890 9.884 0.840887 3.5e-05 * 0 * 0 * 0 56292.00 79.00 2.0e+00 * 0 9.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.48 * gbncc * -2368 B1939+17 J1942+1743 19:42:01.0 2.0e-02 +17:43:28.3 4.0e-01 * 0 * 0 * 0 51600.00 54.427 -2.680 0.696262 2.0e-11 1.01e-16 3.0e-18 * 0 * 0 51600.00 190.00 6.0e+00 * 0 2.80 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.91 * ar1,ar3 * -2369 J1942+81 J1942+81 19:42 3.0e+00 +81:06 8.0e+00 * 0 * 0 * 0 56292.00 113.355 24.857 0.203568 4.4e-06 * 0 * 0 * 0 56292.00 40.30 5.0e-01 * 0 4.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.50 * gbncc * -2370 J1943+0609 J1943+0609 19:43:29.1 5.0e-03 +06:09:57.6 1.0e-01 * 0 * 0 * 0 51650.00 44.465 -8.641 0.446226 3.0e-12 4.66e-16 6.0e-19 * 0 * 0 51650.00 70.76 6.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 * pkssw,ar4 * - -2371 B1940-12 J1943-1237 19:43:25.4 7.6e-03 -12:37:42.4 5.0e-01 * 0 * 0 * 0 48717.00 27.255 -17.158 0.972429 1.8e-12 1.66e-15 8.0e-21 -2.900e-28 1.3e-28 * 0 48717.00 28.92 1.5e-02 * 0 12.90 6.0e-01 0.70 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.20 * mol2,gb2,pks70,pkssw * -2372 J1943+2210 J1943+2210 19:43:16.4 1.0e-04 +22:10:23.1 2.0e-03 * 0 * 0 * 0 56404.00 58.439 -0.730 0.005084 6.0e-15 8.79e-21 3.0e-22 * 0 * 0 56404.00 174.09 3.0e-03 * 0 * 0 0.04 1.0e-02 ELL1 * 0 8.3115 2.0e-08 8.0641 2.0e-06 119.25 0.0e+00 2.865e-06 0.0e+00 56392.7365 7.0e-07 2.500e-06 8.0e-07 -1.400e-06 4.0e-07 6.78 * palfa * -2373 J1944+0907 J1944+0907 19:44:09.3 3.8e-06 +09:07:23.0 1.4e-04 * 0 * 0 0.500 3.0e-01 56570.00 47.160 -7.357 0.005185 1.4e-17 1.73e-20 9.0e-25 * 0 * 0 56570.00 24.36 5.0e-04 * 0 3.90 3.0e-01 2.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 * ar4 * -2374 J1944-10 J1944-10 19:44 2.0e+00 -10:17 3.6e+01 * 0 * 0 * 0 56657.00 29.535 -16.289 0.409135 1.0e-06 * 0 * 0 * 0 56657.00 31.01 3.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.28 * gb350 RRAT -2375 B1941-17 J1944-1750 19:44:05.2 5.1e-02 -17:50:11 3.9e+00 * 0 * 0 * 0 49905.00 22.314 -19.426 0.841158 6.0e-12 9.86e-16 5.0e-20 1.410e-26 1.3e-27 * 0 49905.00 56.32 6.0e-02 * 0 7.50 5.0e-01 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.12 * mol2,pks70,pkssw * - -2376 B1942+17 J1944+1755 19:44:31.8 4.0e-02 +17:55:42.4 7.0e-01 * 0 * 0 * 0 51600.00 54.902 -3.098 1.996899 1.0e-10 7.30e-16 2.0e-17 * 0 * 0 51600.00 175.00 2.0e+00 * 0 1.90 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.88 * ar1,ar4 * -2377 J1944+2236 J1944+2236 19:44:01.0 1.1e-03 +22:36:22.6 2.0e-02 * 0 * 0 * 0 55415.00 58.900 -0.663 0.003618 7.0e-15 7.46e-21 6.0e-22 * 0 * 0 55415.00 185.45 1.2e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.60 * palfa * -2378 B1942-00 J1945-0040 19:45:28.3 2.2e-02 -00:40:58.1 1.1e+00 * 0 * 0 * 0 48103.00 38.565 -12.317 1.045632 7.0e-12 5.35e-16 4.0e-20 5.300e-29 4.0e-28 * 0 48103.00 59.71 6.0e-02 * 0 6.00 1.0e+00 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * mol2,gb2,pks70,pkssw * -2379 J1945+07 J1945+07 19:45:55 3.0e+01 +07:17 8.0e+00 * 0 * 0 * 0 56042.00 45.750 -8.631 1.073900 0 * 0 * 0 * 0 56042.00 62.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.57 * ar327 * -2380 B1943+18 J1945+1834 19:45:36.1 2.0e-02 +18:34:20.1 4.0e-01 * 0 * 0 * 0 51600.00 55.588 -2.998 1.068708 4.0e-11 2.42e-16 5.0e-18 * 0 * 0 51600.00 217.70 1.0e-01 * 0 1.20 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.36 * ar1 * - -2381 J1946-1312 J1946-1312 19:46:57.8 1.0e-02 -13:12:36.4 6.0e-01 * 0 * 0 * 0 53000.00 27.079 -18.184 0.491865 6.0e-12 1.99e-15 3.0e-19 * 0 * 0 53000.00 60.00 2.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.46 * pkssw * -2382 J1946+14 J1946+14 19:46:52 1.2e+02 +14:42 8.0e+00 * 0 * 0 * 0 57022.00 52.373 -5.191 2.282440 0 * 0 * 0 * 0 57022.00 50.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.09 * ar327 * -2383 B1944+17 J1946+1805 19:46:53.0 6.0e-03 +18:05:41.2 1.1e-01 1.000 5.0e+00 -9.000 4.0e+00 * 0 48790.00 55.326 -3.500 0.440618 8.0e-13 2.41e-17 4.0e-21 2.000e-29 3.0e-28 * 0 48790.00 16.14 7.3e-03 * 0 40.00 5.0e+00 10.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.30 * mol1,jb1,ar1,mol2,ar2,ar3,ar4,gb4 * -2384 B1944+22 J1946+2244 19:46:24.8 3.0e-02 +22:44:59.4 6.0e-01 * 0 * 0 * 0 42854.50 59.301 -1.070 1.334450 5.0e-11 8.89e-16 9.0e-18 * 0 * 0 42854.50 140.00 2.0e+01 * 0 3.00 0 0.17 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.95 * ar1,palfa * -2385 J1946+24 J1946+24 19:46:00 7.0e+00 +23:58 2.0e+00 * 0 * 0 * 0 54466.00 60.306 -0.376 4.729000 0 * 0 * 0 * 0 54466.00 96.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.30 * palfa RRAT - -2386 J1946+2535 J1946+2535 19:46:49.1 5.0e-02 +25:35:51.5 9.0e-01 * 0 * 0 * 0 54810.00 61.809 0.283 0.515167 6.0e-11 5.64e-15 5.0e-18 * 0 * 0 54810.00 248.81 4.0e-02 * 0 * 0 0.48 7.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.30 * palfa * -2387 J1946+2611 J1946+2611 19:46:45.8 8.0e-02 +26:11:49.2 9.0e-01 * 0 * 0 * 0 49079.50 62.321 0.595 0.435060 3.0e-10 2.20e-14 2.0e-17 * 0 * 0 49079.50 165.00 3.0e+00 * 0 1.50 0 0.70 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.56 * ar3,ar4,palfa * -2388 B1943-29 J1946-2913 19:46:51.7 8.0e-03 -29:13:47.1 5.0e-01 19.000 9.0e+00 -33.000 2.0e+01 * 0 48736.00 11.108 -24.121 0.959448 3.0e-12 1.49e-15 1.2e-20 -1.260e-27 1.8e-28 * 0 48736.00 44.31 1.5e-02 * 0 9.30 8.0e-01 0.80 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.12 * mol2,pks70,pkssw * -2389 J1946+3417 J1946+3417 19:46:25.1 2.0e-05 +34:17:14.6 1.4e-04 -7.010 2.3e-01 4.510 2.1e-01 * 0 56819.00 69.294 4.713 0.003170 9.0e-17 3.12e-21 4.0e-24 * 0 * 0 56819.45 111.11 5.0e-02 * 0 * 0 0.29 6.0e-02 DDH 56819.4529 1.0e-06 27.0199 5.0e-08 13.8691 5.0e-07 223.36 1.4e-05 1.345e-01 1.7e-08 * 0 * 0 * 0 6.97 * htru_eff * -2390 J1946-5403 J1946-5403 19:46:24 4.8e+01 -54:02 7.0e+00 * 0 * 0 * 0 56657.00 343.914 -29.552 0.002710 0 * 0 * 0 * 0 56657.00 23.70 0 * 0 * 0 * 0 BT * 0 0.1300 0 0.0435 0 * 0 * 0 * 0 * 0 * 0 1.15 GRS:3FGL_J1946.4-5403[aaa+15] FermiAssoc HE[ckr+15] - -2391 J1947+0915 J1947+0915 19:47:46.2 5.0e-02 +09:15:08.0 8.0e-01 * 0 * 0 * 0 51650.00 47.713 -8.073 1.480744 9.0e-11 4.78e-16 1.6e-17 * 0 * 0 51650.00 94.00 4.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.15 * pkssw * -2392 J1947+10 J1947+10 19:47:36 1.6e+01 +10:44 5.0e+00 * 0 * 0 * 0 49717.00 48.995 -7.309 1.110944 3.0e-06 * 0 * 0 * 0 49717.00 149.00 3.0e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.85 * ar4 * -2393 J1947+1957 J1947+1957 19:47:19.4 4.0e-03 +19:57:08.3 9.0e-02 * 0 * 0 * 0 55190.00 56.987 -2.658 0.157509 4.0e-12 5.23e-16 1.0e-19 * 0 * 0 55190.00 185.80 2.0e-01 * 0 * 0 0.08 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.78 * palfa * -2394 J1947-4215 J1947-4215 19:47:06 2.5e+01 -42:15 3.0e+00 * 0 * 0 * 0 49000.00 357.183 -27.712 1.798069 1.0e-06 * 0 * 0 * 0 49000.00 35.00 1.0e+00 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.20 * pks70 * -2395 J1947-43 J1947-43 19:47 4.0e+00 -43:00 4.0e+01 * 0 * 0 * 0 56657.00 356.350 -27.855 0.180940 0 * 0 * 0 * 0 56657.00 29.90 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * ghrss * - -2396 J1948+2333 J1948+2333 19:48:19.3 3.0e-03 +23:33:03.2 5.0e-02 * 0 * 0 * 0 56050.00 60.214 -1.045 0.528352 1.6e-12 1.36e-14 4.0e-20 * 0 * 0 56050.00 198.20 8.0e-01 * 0 * 0 0.28 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.05 * palfa * -2397 J1948+2551 J1948+2551 19:48:17.5 1.0e-03 +25:51:51.9 2.0e-02 * 0 * 0 * 0 54930.00 62.207 0.131 0.196627 4.0e-13 9.02e-15 2.0e-20 * 0 * 0 54930.00 289.27 5.0e-02 * 0 * 0 0.62 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.70 * palfa * -2398 B1946+35 J1948+3540 19:48:25.0 1.0e-03 +35:40:11.0 1.5e-02 -12.600 6.0e-01 0.700 6.0e-01 * 0 49449.00 70.702 5.047 0.717311 4.0e-12 7.06e-15 3.0e-20 7.900e-27 8.0e-28 * 0 49449.00 129.37 7.8e-04 * 0 145.00 9.0e+00 8.30 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.65 * jb1,gb1,gb2,ar4,gb4,gbncc * -2399 J1949+2306 J1949+2306 19:49:07.3 1.0e-02 +23:06:55.5 2.0e-01 * 0 * 0 * 0 54910.00 59.931 -1.423 1.319373 1.0e-11 1.23e-16 3.0e-19 * 0 * 0 54910.00 196.30 5.0e-01 * 0 * 0 0.10 4.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.11 * palfa * -2400 B1946-25 J1949-2524 19:49:25.4 3.1e-02 -25:24:01 2.1e+00 * 0 * 0 * 0 48106.00 15.260 -23.380 0.957617 4.0e-12 3.27e-15 1.6e-20 2.100e-28 2.3e-28 * 0 48106.00 23.07 3.0e-02 * 0 5.20 6.0e-01 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.05 * mol2,pks70 * - -2401 J1949+3106 J1949+3106 19:49:29.6 1.0e-05 +31:06:03.8 3.0e-04 -2.940 6.0e-02 -5.170 8.0e-02 * 0 54500.00 66.858 2.554 0.013138 6.0e-16 9.39e-20 6.0e-24 * 0 * 0 54500.00 164.13 5.0e-04 * 0 * 0 0.23 5.0e-02 DDH 54390.2700 1.0e-03 1.9495 2.0e-06 7.2886 1.0e-06 207.50 2.0e-01 4.306e-05 7.0e-08 * 0 * 0 * 0 7.47 * palfa * -2402 J1950+05 J1950+05 19:50:58 1.6e+01 +05:35 5.0e+00 * 0 * 0 * 0 49717.00 44.857 -10.552 0.455934 3.0e-06 * 0 * 0 * 0 49717.00 71.00 1.4e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.94 * ar4 * -2403 J1950+2414 J1950+2414 19:50:45.0 1.0e-04 +24:14:56.9 1.1e-03 * 0 * 0 * 0 55839.00 61.098 -1.169 0.004305 3.0e-15 1.89e-20 1.2e-22 * 0 * 0 55839.00 142.09 1.8e-02 * 0 * 0 0.12 1.3e-02 BT 55846.0226 1.5e-06 22.1914 1.0e-06 14.2200 1.1e-06 274.42 3.0e-04 7.981e-02 1.2e-07 * 0 * 0 * 0 7.27 * palfa * -2404 J1951+1123 J1951+1123 19:51:08.2 2.0e-02 +11:23:25.2 7.0e-01 * 0 * 0 * 0 49079.50 50.003 -7.738 5.094083 2.0e-10 3.03e-15 8.0e-18 * 0 * 0 49079.50 31.29 9.0e-02 * 0 1.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.51 * ar3,ar4 * -2405 B1949+14 J1952+1410 19:52:06.1 2.6e-02 +14:07:29.4 6.0e-01 * 0 * 0 * 0 50110.00 52.509 -6.576 0.275026 4.0e-12 1.28e-16 4.0e-20 -2.400e-29 9.0e-27 * 0 50110.00 31.51 4.7e-03 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.59 * ar2 * - -2406 J1952+2630 J1952+2630 19:52:36.8 1.0e-04 +26:30:28.0 2.0e-03 -6.000 2.0e+00 0.000 3.0e+00 * 0 55813.00 63.254 -0.376 0.020732 4.0e-15 4.27e-18 3.0e-22 * 0 * 0 55813.00 315.34 2.0e-03 * 0 * 0 0.09 1.5e-02 ELL1 * 0 0.3919 7.0e-11 2.7982 2.0e-06 291.54 0.0e+00 4.085e-05 0.0e+00 55812.8972 4.0e-08 -3.800e-05 1.0e-06 1.500e-05 1.0e-06 10.04 * palfa * -2407 B1951+32 J1952+3252 19:52:58.2 1.0e-03 +32:52:40.5 1.0e-02 -28.800 9.0e-01 -14.700 9.0e-01 * 0 52793.00 68.765 2.823 0.039531 1.1e-12 5.84e-15 8.0e-21 1.462e-23 1.1e-25 * 0 49845.00 45.01 1.9e-02 * 0 7.00 1.0e+00 1.00 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 SNR:CTB80,GRS:2FGL_J1953.0+3253[naa+12] misc HE[sof95,aaa+10m] -2408 J1953+1149 J1953+1149 19:53:47.4 3.0e-02 +11:49:42.6 5.0e-01 * 0 * 0 * 0 49079.50 50.714 -8.083 0.851890 2.0e-10 2.86e-15 1.5e-17 * 0 * 0 49079.50 140.03 3.0e-02 * 0 2.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.51 * ar3,ar4 * -2409 J1953+1846A J1953+1846A 19:53:46 0 +18:46:42 0 * 0 * 0 * 0 53735.00 56.744 -4.563 0.004888 1.0e-06 * 0 * 0 * 0 53735.00 117.00 1.0e+00 * 0 * 0 0.06 0 BT * 0 0.1767 4.0e-04 0.0782 1.0e-04 * 0 * 0 * 0 * 0 * 0 6.00 GC:M71 misc * -2410 J1953+2732 J1953+2732 19:53:07.8 2.0e-02 +27:32:48.2 4.0e-01 * 0 * 0 * 0 54570.00 64.205 0.059 1.333965 2.0e-11 1.77e-15 1.0e-18 * 0 * 0 54570.00 195.40 9.0e-01 * 0 * 0 0.10 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.60 * palfa * - -2411 J1953+67 J1953+67 19:53 3.0e+00 +67:02 1.8e+01 * 0 * 0 * 0 56292.00 99.467 19.128 0.008565 1.8e-08 * 0 * 0 * 0 56292.00 57.20 1.0e-01 * 0 1.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.44 * gbncc * -2412 J1954+2407 J1954+2407 19:54:00.3 3.0e-03 +24:07:14.0 4.0e-02 * 0 * 0 * 0 56700.00 61.367 -1.872 0.193405 1.5e-12 1.06e-15 7.0e-20 * 0 * 0 56700.00 80.50 4.0e-01 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.18 * palfa * -2413 J1954+2836 J1954+2836 19:54:19.1 4.0e-02 +28:36:06 1.0e+00 * 0 * 0 * 0 54800.00 65.244 0.377 0.092709 3.0e-10 2.12e-14 4.0e-18 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.96 GRS:2FGL_J1954.3+2836[naa+12] FermiBlind NRAD -2414 B1952+29 J1954+2923 19:54:22.5 2.0e-03 +29:23:17.2 4.0e-02 25.000 1.7e+01 -36.000 1.0e+01 * 0 48719.00 65.924 0.772 0.426677 4.0e-13 1.71e-18 3.0e-21 -2.800e-28 1.5e-28 * 0 48719.00 7.93 7.0e-03 * 0 6.60 0 8.00 3.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.54 * jb1,jb2,gb3,palfa * -2415 J1954+43 J1954+43 19:55 2.0e+00 +43:50 1.8e+01 * 0 * 0 * 0 56292.00 78.449 8.049 1.386961 9.4e-05 * 0 * 0 * 0 56292.00 130.00 3.0e+00 * 0 2.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.95 * gbncc * - -2416 J1955+2527 J1955+2527 19:55:59.3 7.0e-05 +25:27:03.4 2.0e-03 -1.900 6.0e-01 -2.400 8.0e-01 * 0 54800.00 62.740 -1.571 0.004873 1.7e-15 9.12e-21 1.0e-22 * 0 * 0 54800.00 209.97 3.0e-03 * 0 * 0 0.28 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.18 * palfa * -2417 B1953+29 J1955+2908 19:55:27.8 9.9e-06 +29:08:43.4 2.1e-04 * 0 * 0 * 0 56568.00 65.839 0.443 0.006133 6.0e-17 2.97e-20 3.0e-24 * 0 * 0 56568.00 104.52 6.0e-04 * 0 15.00 0 1.10 2.0e-01 DD 56556.5485 1.0e-03 117.3491 6.0e-08 31.4127 4.0e-07 29.48 4.0e-03 3.302e-04 1.8e-08 * 0 * 0 * 0 6.30 * misc * -2418 B1953+50 J1955+5059 19:55:18.7 1.3e-03 +50:59:55.2 1.3e-02 -23.000 5.0e+00 54.000 5.0e+00 * 0 48741.00 84.793 11.553 0.518938 5.0e-13 1.37e-15 4.0e-21 -9.820e-27 1.8e-28 * 0 48741.00 31.98 1.3e-04 * 0 26.00 3.0e+00 4.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.19 * gb1,gb2,gb4 * -2419 J1956+07 J1956+07 19:56:35 1.2e+02 +07:16 8.0e+00 * 0 * 0 * 0 57022.00 47.046 -10.947 5.012480 0 * 0 * 0 * 0 57022.00 61.30 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.16 * ar327 * -2420 J1956+0838 J1956+0838 19:56:52.2 2.0e-02 +08:38:16.8 4.0e-01 * 0 * 0 * 0 51650.00 48.295 -10.331 0.303911 7.0e-12 2.20e-16 1.3e-18 * 0 * 0 51650.00 67.09 2.4e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.54 * pkssw * - -2421 J1956-28 J1956-28 19:56 2.0e+00 -27:53 3.6e+01 * 0 * 0 * 0 56657.00 13.222 -25.591 0.260014 6.0e-07 * 0 * 0 * 0 56657.00 45.69 1.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.73 * gbncc RRAT -2422 J1957+2516 J1957+2516 19:57:34.6 3.0e-04 +25:16:02.0 3.0e-03 * 0 * 0 * 0 56408.00 62.769 -1.973 0.003962 1.0e-15 2.74e-20 9.0e-23 * 0 * 0 56408.00 44.14 3.0e-03 * 0 * 0 0.02 0 ELL1 * 0 0.2381 7.0e-10 0.2833 6.0e-06 45.00 0.0e+00 2.828e-05 0.0e+00 56407.8681 6.0e-07 2.000e-05 3.0e-05 2.000e-05 2.0e-05 2.66 * palfa * -2423 J1957+2831 J1957+2831 19:57:19.3 7.7e-03 +28:31:43.8 1.4e-01 * 0 * 0 * 0 51429.00 65.524 -0.225 0.307683 1.7e-12 3.11e-15 3.0e-20 -7.300e-26 1.2e-26 * 0 51429.00 138.99 8.0e-02 * 0 * 0 1.00 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.89 SNR:G65.1+0.6(?)[tl06] misc,palfa * -2424 J1957+5033 J1957+5033 19:57:38.9 8.0e-01 +50:33:18 9.0e+00 * 0 * 0 * 0 54800.00 84.584 11.013 0.374806 3.0e-10 7.08e-15 5.0e-17 * 0 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.36 GRS:2FGL_J1957.9+5033[naa+12] FermiBlind NRAD -2425 J1958+2846 J1958+2846 19:58:40.0 3.0e-02 +28:45:54 1.0e+00 * 0 * 0 * 0 54800.00 65.879 -0.353 0.290389 5.0e-11 2.12e-13 1.7e-17 3.000e-23 2.0e-23 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.95 GRS:2FGL_J1958.6+2845[naa+12] FermiBlind NRAD - -2426 B1957+20 J1959+2048 19:59:36.7 5.0e-05 +20:48:15.1 6.0e-04 -16.000 5.0e-01 -25.800 6.0e-01 * 0 48196.00 59.197 -4.697 0.001607 3.0e-17 1.69e-20 9.0e-25 5.500e-26 1.5e-26 * 0 48196.00 29.12 7.0e-04 * 0 20.00 0 0.40 2.0e-01 BT 48196.0635 6.0e-07 0.3820 8.0e-10 0.0892 6.0e-07 * 0 0.000e+00 4.0e-05 * 0 * 0 * 0 1.73 XRS:[hb07a],GRS:2FGL_J1959.5+2047[naa+12 ar3 HE[aaa+10g] -2427 J1959+3620 J1959+3620 19:59:38.0 2.0e-02 +36:20:29.1 3.0e-01 * 0 * 0 * 0 56100.00 72.444 3.442 0.406081 1.0e-11 3.60e-17 1.0e-18 * 0 * 0 56100.00 273.00 0 * 0 * 0 0.40 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.89 * htru_eff * -2428 J2001+42 J2001+42 20:02 3.0e+00 +42:43 1.8e+01 * 0 * 0 * 0 56292.00 78.140 6.383 0.719161 2.2e-05 * 0 * 0 * 0 56292.00 55.00 1.0e+00 * 0 20.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * gbncc * -2429 J2002+1637 J2002+1637 20:02:47.7 7.0e-02 +16:37:16.7 1.1e+00 * 0 * 0 * 0 49079.50 55.998 -7.517 0.276497 1.8e-10 2.25e-16 1.2e-17 * 0 * 0 49079.50 94.58 4.8e-02 * 0 0.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.90 * ar3,ar4 * -2430 J2002+30 J2002+30 20:02:58 1.6e+01 +30:35 5.0e+00 * 0 * 0 * 0 49717.00 67.917 -0.187 0.421794 3.0e-06 * 0 * 0 * 0 49717.00 196.00 3.8e+01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.09 * ar4,palfa * - -2431 B2000+32 J2002+3217 20:02:04.4 9.2e-03 +32:17:18.3 1.4e-01 * 0 * 0 * 0 49444.00 69.261 0.879 0.696761 3.0e-10 1.05e-13 3.0e-18 -8.700e-25 8.0e-26 * 0 49444.00 142.21 3.0e-02 * 0 5.50 5.0e-01 1.20 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.46 * jb2,palfa * -2432 B2000+40 J2002+4050 20:02:44.0 2.9e-03 +40:50:53.9 3.3e-02 * 0 * 0 * 0 49887.00 76.611 5.288 0.905067 1.0e-12 1.74e-15 8.0e-21 -2.180e-27 2.0e-28 * 0 49887.00 131.49 4.1e-02 * 0 53.00 7.0e+00 4.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * gb3,gbncc * -2433 J2004+2653 J2004+2653 20:04:59.0 4.0e-02 +26:53:40.4 6.0e-01 * 0 * 0 * 0 56700.00 65.030 -2.527 0.665879 4.0e-11 5.67e-17 1.2e-18 * 0 * 0 56700.00 160.00 4.0e+00 * 0 * 0 0.06 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.67 * palfa * -2434 B2002+31 J2004+3137 20:04:52.2 2.8e-03 +31:37:10.0 4.6e-02 * 0 * 0 * 0 49723.00 69.011 0.021 2.111265 4.0e-11 7.46e-14 3.0e-19 -1.100e-27 1.2e-27 * 0 49723.00 234.82 8.0e-03 * 0 14.50 9.0e-01 1.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.00 * jb1,jb2,gb3,palfa * -2435 J2004+3429 J2004+3429 20:04:46.9 3.0e-02 +34:29:17.7 5.0e-01 * 0 * 0 * 0 56100.00 71.425 1.571 0.240953 1.0e-11 2.07e-13 4.0e-18 * 0 * 0 56100.00 351.00 0 * 0 * 0 0.11 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.78 * htru_eff * - -2436 J2005-0020 J2005-0020 20:05:43.7 3.7e-02 -00:20:21.9 1.4e+00 * 0 * 0 * 0 50852.00 41.331 -16.629 2.279661 4.0e-11 2.57e-14 6.0e-19 7.800e-28 5.0e-27 * 0 50852.00 35.93 1.7e-01 * 0 8.00 0 0.40 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.83 * pks70 * -2437 J2005+3547 J2005+3547 20:05:17.4 9.0e-03 +35:47:25.4 1.0e-01 * 0 * 0 * 0 54540.00 72.581 2.180 0.615034 4.0e-12 2.81e-16 3.0e-19 * 0 * 0 54540.00 401.60 3.0e-01 * 0 * 0 0.25 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.56 * palfa * -2438 J2005+3552 J2005+3552 20:05:47.5 6.0e-02 +35:52:24.3 1.0e-01 * 0 * 0 * 0 56100.00 72.706 2.139 0.307943 2.0e-11 2.99e-15 1.0e-17 * 0 * 0 56100.00 455.00 0 * 0 * 0 0.21 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.65 * htru_eff * -2439 B2003-08 J2006-0807 20:06:16.3 1.2e-02 -08:07:01.9 5.6e-01 * 0 * 0 * 0 49766.00 34.101 -20.304 0.580871 3.0e-12 4.60e-17 3.0e-20 -4.800e-27 1.5e-27 * 0 49766.00 32.39 3.0e-02 * 0 20.00 3.0e+00 2.80 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.71 * mol2,pkssw * -2440 J2006+3102 J2006+3102 20:06:11.0 3.0e-01 +31:02:03 4.0e+00 * 0 * 0 * 0 54800.00 68.667 -0.530 0.163695 9.0e-11 2.49e-14 9.0e-18 * 0 * 0 54800.00 107.16 1.0e-02 * 0 * 0 0.27 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.03 * palfa * - -2441 J2007+0809 J2007+0809 20:07:13.5 1.0e-01 +08:09:33 2.0e+00 * 0 * 0 * 0 51650.00 49.180 -12.787 0.325724 5.0e-11 1.37e-16 7.0e-18 * 0 * 0 51650.00 53.39 3.7e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.04 * pkssw * -2442 J2007+0910 J2007+0910 20:07:58.1 1.2e-03 +09:10:12.9 6.0e-02 * 0 * 0 * 0 52994.00 50.169 -12.433 0.458735 6.0e-13 3.32e-16 1.2e-19 * 0 * 0 52994.00 48.73 6.7e-04 * 0 1.51 5.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * ar4 * -2443 J2007+20 J2007+20 20:07 2.0e+00 +20:21 3.6e+01 * 0 * 0 * 0 56657.00 59.722 -6.407 4.634000 7.0e-03 * 0 * 0 * 0 56657.00 67.00 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * gb350 RRAT -2444 J2007+2722 J2007+2722 20:07:15.8 4.0e-04 +27:22:47.9 6.0e-03 * 0 * 0 * 0 55319.00 65.713 -2.695 0.024497 1.0e-14 9.61e-19 3.0e-22 * 0 * 0 55319.00 127.00 4.0e-01 * 0 * 0 2.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.10 * palfa * -2445 J2007+3120 J2007+3120 20:07:09.0 6.0e-03 +31:20:51.5 9.0e-02 * 0 * 0 * 0 54920.00 69.042 -0.535 0.608205 1.0e-11 1.56e-14 1.0e-18 * 0 * 0 54920.00 191.50 2.0e-01 * 0 * 0 0.12 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * palfa * - -2446 J2008+2513 J2008+2513 20:08:35.4 1.1e-02 +25:13:30.3 1.6e-01 * 0 * 0 * 0 49079.50 64.055 -4.107 0.589196 6.0e-11 5.40e-15 4.0e-18 * 0 * 0 49079.50 60.56 3.6e-03 * 0 2.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.03 * ar3 * -2447 J2009+3326 J2009+3326 20:09:49.1 2.0e-02 +33:26:10.2 3.0e-01 * 0 * 0 * 0 54430.00 71.103 0.124 1.438369 2.0e-11 1.47e-15 2.0e-18 * 0 * 0 54430.00 263.60 8.0e-01 * 0 * 0 0.15 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.30 * palfa * -2448 J2010-1323 J2010-1323 20:10:45.9 5.8e-06 -13:23:56.0 3.5e-04 * 0 * 0 0.350 1.5e-01 56235.00 29.446 -23.540 0.005223 9.0e-18 4.82e-21 3.0e-25 * 0 * 0 56235.00 22.18 5.0e-03 * 0 * 0 1.60 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.16 * pkssw * -2449 J2010+2845 J2010+2845 20:10:05.0 2.0e-03 +28:45:29.1 3.0e-02 * 0 * 0 * 0 54810.00 67.210 -2.472 0.565369 6.0e-13 9.07e-17 2.0e-20 * 0 * 0 54810.00 112.47 8.0e-02 * 0 * 0 0.43 2.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.58 * palfa * -2450 J2010+3230 J2010+3230 20:10:26.5 1.0e-02 +32:30:07.3 2.0e-01 * 0 * 0 * 0 54430.00 70.391 -0.495 1.442448 1.0e-11 3.62e-15 1.0e-18 * 0 * 0 54430.00 371.80 5.0e-01 * 0 * 0 0.12 6.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 13.02 * palfa * - -2451 J2011+3331 J2011+3331 20:11:04.9 2.0e-03 +33:31:24.6 3.0e-02 * 0 * 0 * 0 54490.00 71.320 -0.049 0.931733 4.0e-12 1.79e-15 1.0e-19 * 0 * 0 54490.00 298.58 6.0e-02 * 0 * 0 0.38 8.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.60 * palfa * -2452 J2012-2029 J2012-2029 20:12:46.6 3.0e-01 -20:29:31 2.2e+01 * 0 * 0 * 0 54987.00 22.410 -26.701 0.544002 3.0e-11 5.48e-16 1.8e-18 * 0 * 0 54987.00 37.67 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.81 * gb350 * -2453 J2013-0649 J2013-0649 20:13:17.7 3.8e-03 -06:49:05.3 3.2e-01 * 0 * 0 * 0 55172.00 36.171 -21.291 0.580187 3.4e-12 6.01e-16 2.4e-18 * 0 * 0 55172.00 63.36 1.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.57 * gb350 * -2454 J2013+3058 J2013+3058 20:13:34.2 3.0e-03 +30:58:50.6 5.0e-02 * 0 * 0 * 0 54600.00 69.485 -1.886 0.276028 5.0e-13 1.52e-16 4.0e-20 * 0 * 0 54600.00 148.70 1.0e-01 * 0 * 0 0.07 5.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * palfa * -2455 B2011+38 J2013+3845 20:13:10.3 3.0e-03 +38:45:43.3 4.0e-02 -32.100 1.7e+00 -25.000 2.0e+00 * 0 49718.00 75.930 2.476 0.230194 1.0e-12 8.85e-15 8.0e-21 2.600e-26 3.0e-27 * 0 49718.00 238.22 8.0e-03 * 0 26.00 1.0e+00 6.40 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.13 * gb3 * - -2456 J2015+2524 J2015+2524 20:15:12.7 7.0e-02 +25:24:31.3 1.0e+00 * 0 * 0 * 0 49079.50 65.027 -5.261 2.303299 9.0e-10 5.10e-16 5.0e-17 * 0 * 0 49079.50 13.00 3.0e+00 * 0 0.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.88 * ar3 * -2457 J2016+1948 J2016+1948 20:16:57.4 6.0e-05 +19:47:51.5 1.2e-03 1.280 2.6e-01 2.830 3.4e-01 * 0 53000.00 60.522 -8.675 0.064940 6.0e-15 4.01e-19 6.0e-23 * 0 * 0 53000.00 33.81 1.6e-03 -0.001 1.2e-04 3.30 0 * 0 BT 52818.6480 1.0e-03 635.0238 7.0e-08 150.7730 2.0e-06 95.64 7.0e-04 1.480e-03 2.0e-08 * 0 * 0 * 0 2.16 * misc * -2458 J2017+0603 J2017+0603 20:17:22.7 4.7e-06 +06:03:05.5 1.7e-04 * 0 * 0 0.400 3.0e-01 56682.00 48.621 -16.026 0.002896 1.1e-17 7.99e-21 7.0e-25 * 0 * 0 56682.00 23.92 9.0e-05 * 0 * 0 0.50 2.0e-01 ELL1 * 0 2.1985 1.2e-10 2.1929 1.7e-06 180.19 0.0e+00 7.060e-06 0.0e+00 56682.1100 3.0e-08 -2.300e-08 4.0e-07 -7.060e-06 9.0e-08 1.40 GRS:2FGL_J2017.3+0603[naa+12],XRS:[pb15] misc HE -2459 J2017+2043 J2017+2043 20:17:28.9 2.0e-03 +20:43:31.9 3.0e-02 * 0 * 0 * 0 51500.00 61.376 -8.271 0.537143 2.0e-12 9.96e-16 5.0e-20 * 0 * 0 51500.00 60.49 9.9e-03 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.21 * misc * -2460 J2017+3625 J2017+3625 20:17:55.8 1.0e-02 +36:25:07.9 2.0e-01 * 0 * 0 * 0 55716.00 74.507 0.390 0.166749 9.0e-13 1.36e-15 3.0e-20 * 0 * 0 55716.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:3FGL_J2017.9+3627[aaa+15] FermiBlind NRAD - -2461 J2017+59 J2017+59 20:18 3.0e+00 +59:13 1.8e+01 * 0 * 0 * 0 56292.00 93.716 12.930 0.403619 1.2e-05 * 0 * 0 * 0 56292.00 61.00 3.0e+00 * 0 1.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.95 * gbncc * -2462 B2016+28 J2018+2839 20:18:03.8 9.0e-04 +28:39:54.2 1.6e-02 -2.600 2.0e-01 -6.200 4.0e-01 1.030 1.0e-01 46384.00 68.099 -3.983 0.557953 7.0e-13 1.48e-16 1.6e-21 4.860e-27 5.0e-29 * 0 46384.00 14.20 6.0e-04 * 0 314.00 3.0e+01 30.00 1.3e+01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.98 * misc,jb1,gb1,gb3,gb4 * -2463 J2018+3431 J2018+3431 20:18:53.1 2.0e-03 +34:31:00.5 2.0e-02 * 0 * 0 * 0 54760.00 73.044 -0.841 0.387664 8.0e-13 1.84e-15 2.0e-20 * 0 * 0 54760.00 222.35 7.0e-02 * 0 * 0 0.24 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.64 * palfa * -2464 J2019+2425 J2019+2425 20:19:31.9 3.0e-05 +24:25:15.3 5.0e-04 -9.410 1.2e-01 -20.600 1.5e-01 * 0 48900.00 64.746 -6.624 0.003935 1.1e-16 7.02e-21 1.2e-24 * 0 * 0 50000.00 17.20 5.0e-03 * 0 * 0 * 0 BT 50054.6439 4.0e-03 76.5116 2.0e-08 38.7676 8.0e-07 159.03 2.0e-02 1.111e-04 4.0e-08 * 0 * 0 * 0 1.16 * ar3 * -2465 J2021+3651 J2021+3651 20:21:05.4 4.0e-02 +36:51:04.8 5.0e-01 * 0 * 0 * 0 52682.00 75.222 0.111 0.103741 4.0e-12 9.57e-14 7.0e-19 1.090e-21 5.0e-23 * 0 54710.00 367.50 1.0e+00 * 0 * 0 0.10 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 GRS:AGL_J2020.5+3653[hcg+08],GRS:2FGL_J2 misc HE[aaa+09d] - -2466 J2021+4026 J2021+4026 20:21:29.9 3.0e-02 +40:26:45.1 7.0e-01 * 0 * 0 * 0 54936.00 78.225 2.089 0.265318 5.0e-11 5.47e-14 3.0e-18 3.900e-22 2.0e-23 * 0 54936.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.15 GRS:2FGL_J2021.5+4026[naa+12],SNR:G78.2+ FermiBlind NRAD -2467 B2020+28 J2022+2854 20:22:37.0 7.0e-04 +28:54:23.1 1.1e-02 -4.400 5.0e-01 -23.600 3.0e-01 0.370 1.2e-01 49692.00 68.863 -4.671 0.343402 1.3e-12 1.89e-15 1.3e-20 2.400e-26 1.8e-27 * 0 49692.00 24.63 1.8e-04 * 0 71.00 7.0e+00 38.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.10 * misc,jb1,gb1,gb3,gb4 * -2468 J2022+3842 J2022+3842 20:22:21.6 6.0e-03 +38:42:14.8 7.0e-02 * 0 * 0 * 0 55666.24 76.888 0.960 0.048579 2.4e-11 8.61e-14 2.0e-16 * 0 * 0 55666.24 429.10 5.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.00 XRS:CXOU_J202221.68+384214.8,SNR:G76.9+1 misc HE -2469 B2021+51 J2022+5154 20:22:49.8 1.2e-03 +51:54:50.2 1.1e-02 -5.230 1.7e-01 11.500 3.0e-01 0.500 7.0e-02 46640.00 87.862 8.380 0.529197 1.7e-11 3.06e-15 5.0e-20 -2.270e-26 1.6e-27 * 0 46640.00 22.55 5.6e-04 * 0 77.00 1.2e+01 27.00 9.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * jb1,gb1,gb2,gb3,gb4 * -2470 B2022+50 J2023+5037 20:23:41.9 1.0e-03 +50:37:34.8 1.0e-02 * 0 * 0 * 0 49910.00 86.863 7.544 0.372619 3.0e-12 2.51e-15 1.7e-20 3.500e-26 3.0e-27 * 0 49910.00 32.99 3.7e-04 * 0 6.50 7.0e-01 2.20 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.06 * gb2 * - -2471 J2024+48 J2024+48 20:24 0 +48 0 * 0 * 0 * 0 54100.00 84.710 6.017 1.262000 0 * 0 * 0 * 0 54100.00 99.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.55 * gb350 * -2472 B2025+21 J2027+2146 20:27:16.6 3.0e-03 +21:46:04.4 5.0e-02 * 0 * 0 * 0 51600.00 63.538 -9.587 0.398173 2.0e-12 2.03e-16 2.0e-19 * 0 * 0 51600.00 97.09 4.8e-03 * 0 0.70 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 10.30 * ar1 * -2473 J2027+4557 J2027+4557 20:27:16.2 3.0e-03 +45:57:57.0 4.0e-02 * 0 * 0 * 0 54250.00 83.358 4.394 1.099651 7.0e-12 3.09e-16 4.0e-19 * 0 * 0 54250.00 229.59 1.1e-02 * 0 14.20 0 1.34 1.3e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.00 * gb350,misc,gbncc * -2474 J2027+74 J2027+74 20:28 5.0e+00 +74:47 1.8e+01 * 0 * 0 * 0 56292.00 108.151 20.149 0.515229 1.4e-05 * 0 * 0 * 0 56292.00 11.00 3.0e+00 * 0 2.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.71 * gbncc * -2475 J2028+3332 J2028+3332 20:28:19.8 5.0e-03 +33:32:04.3 7.0e-02 * 0 * 0 * 0 55225.00 73.361 -3.008 0.176707 7.0e-13 4.86e-15 7.0e-20 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2028.3+3332[naa+12] FermiBlind NRAD - -2476 B2027+37 J2029+3744 20:29:23.8 9.5e-03 +37:44:08.1 1.4e-01 * 0 * 0 * 0 49725.00 76.898 -0.727 1.216805 1.2e-11 1.23e-14 9.0e-20 -6.340e-26 1.3e-27 * 0 49725.00 190.66 3.0e-02 * 0 18.00 2.0e+00 0.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.77 * gb3,gbncc * -2477 B2028+22 J2030+2228 20:30:40.4 8.2e-03 +22:28:21.8 1.4e-01 * 0 * 0 * 0 49953.00 64.580 -9.833 0.630513 4.0e-12 8.85e-16 3.0e-20 1.700e-26 1.4e-27 * 0 49953.00 71.86 6.7e-03 * 0 5.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.39 * ar1,ar2 * -2478 J2030+3641 J2030+3641 20:30:00.2 4.0e-03 +36:41:27.1 7.0e-02 * 0 * 0 * 0 55400.00 76.123 -1.438 0.200129 1.7e-12 6.50e-15 3.0e-19 2.200e-24 6.0e-25 * 0 55400.00 246.00 7.0e-01 * 0 * 0 0.15 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.95 GRS:2FGL_J2030.0+3640[naa+12] FermiAssoc HE -2479 J2030+4415 J2030+4415 20:30:51.3 4.0e-02 +44:15:38.1 4.0e-01 * 0 * 0 * 0 55225.00 82.340 2.885 0.227070 3.0e-11 6.48e-15 1.1e-18 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2030.7+4417[naa+12] FermiBlind NRAD -2480 J2030+55 J2030+55 20:30 0 +55 0 * 0 * 0 * 0 54100.00 91.047 9.247 0.579000 0 * 0 * 0 * 0 54100.00 60.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.44 * gb350 * - -2481 J2032+4127 J2032+4127 20:32:13.1 2.0e-03 +41:27:24.3 9.0e-02 * 0 * 0 * 0 55700.00 80.224 1.028 0.143246 1.9e-07 1.13e-14 3.0e-16 * 0 * 0 55700.00 114.67 4.0e-02 -0.010 1.0e-02 * 0 * 0 BT 58061.0000 9.0e+00 16835.0000 8.4e+02 13580.0000 6.5e+03 34.00 1.8e+01 9.640e-01 3.0e-02 * 0 * 0 * 0 1.33 OPT:MT91_213,Cygnus_OB2[lsk+15],XRS:[hnl FermiBlind HE -2482 J2033+0042 J2033+0042 20:33:31.1 1.2e-01 +00:42:22.0 8.0e+00 * 0 * 0 * 0 55172.00 45.876 -22.196 5.013398 9.0e-10 1.01e-14 7.8e-16 * 0 * 0 55172.00 37.84 1.3e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.93 * pkssw,gb350 RRAT -2483 J2033+1734 J2033+1734 20:33:27.5 1.7e-05 +17:34:58.4 3.2e-04 * 0 * 0 * 0 56945.00 60.857 -13.154 0.005949 1.8e-16 1.11e-20 1.5e-23 * 0 * 0 56945.00 25.08 9.0e-04 * 0 3.00 0 * 0 DD 56972.9240 3.0e-03 56.3078 7.0e-08 20.1631 4.0e-07 78.19 1.6e-02 1.287e-04 5.0e-08 * 0 * 0 * 0 1.74 * ar4 * -2484 J2033-1938 J2033-1938 20:33:55.4 2.0e-01 -19:38:59 1.2e+01 * 0 * 0 * 0 54987.00 25.313 -31.049 1.281719 1.2e-10 4.55e-16 6.0e-18 * 0 * 0 54987.00 23.47 9.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.52 * gb350 * -2485 J2036+2835 J2036+2835 20:36:46.3 5.0e-03 +28:35:10.4 7.0e-02 * 0 * 0 * 0 56100.00 70.413 -7.382 1.358727 2.0e-11 2.09e-15 2.0e-18 * 0 * 0 56100.00 84.22 6.4e-03 * 0 * 0 0.15 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.74 * htru_eff * - -2486 B2034+19 J2037+1942 20:37:14.5 8.0e-02 +19:42:54.3 9.0e-01 * 0 * 0 * 0 46104.69 63.177 -12.672 2.074377 5.0e-10 2.04e-15 1.0e-17 * 0 * 0 46104.69 36.89 4.8e-05 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.79 * gb3 * -2487 B2035+36 J2037+3621 20:37:27.4 2.3e-02 +36:21:24.1 2.6e-01 * 0 * 0 * 0 49936.00 76.746 -2.840 0.618715 5.0e-11 4.50e-15 4.0e-19 -2.940e-25 2.0e-26 * 0 49936.00 93.56 6.0e-02 * 0 6.00 1.0e+00 0.80 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * gb2,gbncc * -2488 J2038+35 J2038+35 20:38 0 +35 0 * 0 * 0 * 0 54100.00 75.730 -3.747 0.160000 0 * 0 * 0 * 0 54100.00 58.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.82 * gb350 * -2489 J2038-3816 J2038-3816 20:38:54.1 3.0e-02 -38:16:11.9 1.0e+00 * 0 * 0 * 0 49486.61 3.855 -36.740 1.577286 3.0e-10 4.13e-15 4.0e-18 * 0 * 0 49486.61 33.96 6.0e-02 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.59 * pks70 * -2490 B2036+53 J2038+5319 20:38:03.1 6.9e-02 +53:19:12.8 5.8e-01 * 0 * 0 * 0 50122.00 90.368 7.308 1.424568 1.1e-11 9.44e-16 9.0e-20 9.600e-28 8.6e-28 * 0 50122.00 160.20 1.2e-02 * 0 3.10 4.0e-01 0.30 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.19 * gb2 * - -2491 J2040+1657 J2040+1657 20:40:17.8 3.0e-03 +16:57:30.4 7.0e-02 * 0 * 0 * 0 51602.00 61.286 -14.852 0.865606 4.0e-12 5.95e-16 6.0e-19 * 0 * 0 51602.00 50.69 1.4e-03 * 0 0.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.45 * ar4 * -2492 J2043+1711 J2043+1711 20:43:20.8 1.4e-06 +17:11:28.9 3.5e-05 * 0 * 0 0.640 8.0e-02 56573.00 61.919 -15.313 0.002380 3.0e-18 5.24e-21 1.2e-25 * 0 * 0 56573.00 20.76 1.4e-02 * 0 0.80 0 * 0 ELL1 * 0 1.4823 1.5e-11 1.6240 1.5e-07 236.73 0.0e+00 4.868e-06 0.0e+00 56573.0425 5.0e-09 -4.070e-06 7.0e-08 -2.670e-06 5.0e-08 1.56 GRS:2FGL_J2043.2+1711[naa+12] FermiAssoc HE -2493 J2043+2740 J2043+2740 20:43:43.5 1.0e-01 +27:40:56 1.0e+00 * 0 * 0 * 0 49773.00 70.612 -9.151 0.096131 5.0e-11 1.27e-15 1.0e-17 * 0 * 0 49773.00 21.02 1.5e-04 * 0 15.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.48 GRS:2FGL_J2043.7+2743[naa+12] ar4 HE[naa+11] -2494 J2043+7045 J2043+7045 20:43 0 +70:45 0 * 0 * 0 * 0 54100.00 105.186 17.052 0.588000 0 * 0 * 0 * 0 54100.00 57.00 0 * 0 63.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.92 * gb350,gbncc * -2495 J2044+4614 J2044+4614 20:44:58.8 1.0e-01 +46:14:54 1.0e+00 * 0 * 0 * 0 49700.00 85.429 2.108 1.392715 2.0e-10 6.30e-16 4.0e-17 * 0 * 0 49700.00 315.40 4.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.95 * misc * - -2496 J2045+0912 J2045+0912 20:45:47.3 9.0e-04 +09:12:29.1 4.0e-02 * 0 * 0 * 0 52997.00 55.362 -20.329 0.395555 5.0e-13 1.95e-16 7.0e-20 * 0 * 0 52997.00 31.78 4.0e-03 * 0 3.50 2.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.46 * ar4 * -2497 J2045+3633 J2045+3633 20:45:01.5 1.2e-04 +36:33:01.4 8.0e-04 -2.100 1.4e+00 -2.300 8.0e-01 * 0 56855.00 77.832 -3.926 0.031682 1.1e-14 5.88e-19 5.0e-22 * 0 * 0 56855.00 129.55 1.7e-03 * 0 * 0 * 0 DDH 57496.7511 3.0e-05 32.2978 1.0e-06 46.9419 1.1e-05 320.78 3.0e-04 1.721e-02 5.0e-08 * 0 * 0 * 0 5.63 * htru_eff * -2498 B2043-04 J2046-0421 20:46:00.1 5.0e-03 -04:21:26.0 2.0e-01 9.000 1.6e+01 -7.000 8.0e+00 * 0 48739.00 42.678 -27.387 1.546938 1.7e-12 1.47e-15 1.7e-20 1.600e-28 9.0e-29 * 0 48739.00 35.80 1.0e-02 * 0 20.00 1.0e+00 1.70 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.27 * mol2,pks70,pkssw * -2499 B2044+15 J2046+1540 20:46:39.3 5.0e-03 +15:40:33.6 1.1e-01 -13.000 6.0e+00 3.000 4.0e+00 * 0 48742.00 61.112 -16.838 1.138286 1.2e-12 1.82e-16 1.2e-20 -1.100e-29 1.1e-28 * 0 48742.00 39.82 4.9e-04 * 0 11.50 9.0e-01 1.70 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.34 * mol2,gb2,gb3,ar4,gb4 * -2500 B2045+56 J2046+5708 20:46:46.6 1.8e-02 +57:08:37.0 1.4e-01 * 0 * 0 * 0 49766.00 94.199 8.637 0.476735 7.0e-12 1.11e-14 4.0e-20 5.000e-27 3.5e-27 * 0 49766.00 101.79 7.7e-05 * 0 4.60 0.0e+00 0.30 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.34 * gb2,gbncc * - -2501 J2047+1053 J2047+1053 20:47 0 +10:53 0 * 0 * 0 * 0 55561.00 57.019 -19.643 0.004290 0 * 0 * 0 * 0 55561.00 34.60 0 * 0 * 0 * 0 BT * 0 0.1200 0 * 0 * 0 * 0 * 0 * 0 * 0 2.79 GRS:2FGL_J2046.7+1055[naa+12] FermiAssoc * -2502 J2047+5029 J2047+5029 20:47:54.6 4.0e-04 +50:29:38.1 4.0e-02 * 0 * 0 * 0 54250.00 89.057 4.376 0.445945 4.0e-12 4.18e-15 1.6e-19 -7.410e-24 8.0e-26 * 0 54250.00 107.68 5.0e-03 * 0 * 0 0.38 4.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.97 * misc * -2503 B2045-16 J2048-1616 20:48:35.6 4.0e-05 -16:16:44.5 1.5e-04 113.160 2.0e-02 -4.600 2.8e-01 1.050 3.0e-02 54100.00 30.514 -33.077 1.961572 1.2e-11 1.10e-14 4.0e-20 -9.200e-28 8.0e-29 * 0 46423.00 11.46 5.0e-03 * 0 116.00 2.6e+01 13.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.95 * mol1,mol2,pks70 * -2504 J2048+2255 J2048+2255 20:48:45.8 2.0e-03 +22:55:05.3 3.0e-02 * 0 * 0 * 0 51500.00 67.453 -12.944 0.283901 1.0e-12 1.52e-17 2.0e-20 * 0 * 0 51500.00 70.68 2.2e-03 * 0 1.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.65 * misc * -2505 J2050+1259 J2050+1259 20:50:57.2 1.4e-01 +12:59:09 3.0e+00 * 0 * 0 * 0 53400.00 59.436 -19.242 1.221020 9.0e-10 5.04e-16 3.0e-17 * 0 * 0 53400.00 52.40 0 * 0 0.40 0 0.05 1.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.83 * misc * - -2506 J2051-0827 J2051-0827 20:51:07.5 1.8e-05 -08:27:37.7 8.0e-04 5.630 4.0e-02 2.340 2.8e-01 * 0 55655.00 39.192 -30.411 0.004509 1.1e-16 1.27e-20 7.0e-24 * 0 * 0 55655.00 20.73 1.7e-03 0.001 3.0e-04 22.00 0 2.80 6.0e-01 ELL1 * 0 0.0991 4.0e-11 0.0451 3.0e-07 36.19 0.0e+00 5.080e-05 0.0e+00 54091.0343 8.0e-07 3.000e-05 1.0e-05 4.100e-05 9.0e-06 1.47 * pks70 HE[wkh+12] -2507 J2052+1218 J2052+1218 20:52:47 6.1e+01 +12:18 1.5e+01 * 0 * 0 * 0 57022.00 59.114 -20.002 0.001990 0 * 0 * 0 * 0 57022.00 42.00 0 * 0 * 0 * 0 BT * 0 0.1100 0 0.0590 0 * 0 * 0 * 0 * 0 * 0 3.92 GRS:3FGL_J2052.7+1217[cck+16] FermiAssoc * -2508 J2053+1718 J2053+1718 20:53:49.4 7.0e-04 +17:18:44.6 1.3e-02 -1.000 2.3e+00 6.900 2.8e+00 * 0 53400.00 63.554 -17.264 0.119268 1.2e-13 2.86e-19 1.0e-21 * 0 * 0 53400.00 26.98 0 * 0 * 0 0.00 2.0e-03 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.09 * ar4 * -2509 J2053+4650 J2053+4650 20:53:52.6 7.0e-05 +46:50:51.7 4.0e-04 -2.800 8.0e-01 -5.400 5.0e-01 * 0 56917.59 86.861 1.302 0.012586 1.6e-15 1.72e-19 1.0e-22 * 0 * 0 56917.59 98.08 6.0e-04 * 0 * 0 * 0 DDH 56911.1130 3.0e-03 2.4525 2.0e-10 8.8043 1.1e-06 266.70 4.0e-01 8.900e-06 1.0e-07 * 0 * 0 * 0 3.81 * htru_eff * -2510 B2048-72 J2053-7200 20:53:47.1 6.0e-02 -72:00:42.2 2.0e-01 * 0 * 0 * 0 47687.74 321.870 -34.998 0.341336 4.0e-12 1.96e-16 2.0e-19 * 0 * 0 47687.74 17.30 4.0e-01 * 0 29.00 0 6.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.03 * mol2,pks70 * - -2511 B2053+21 J2055+2209 20:55:39.1 4.5e-03 +22:09:27.2 1.0e-01 * 0 * 0 * 0 49726.00 67.832 -14.668 0.815181 8.0e-13 1.34e-15 8.0e-21 -4.800e-28 2.0e-28 * 0 49726.00 36.35 2.9e-04 * 0 9.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * gb3,gb4 * -2512 J2055+2539 J2055+2539 20:55:48.8 2.0e-01 +25:40:02 3.0e+00 * 0 * 0 * 0 54900.00 70.688 -12.519 0.319561 1.1e-09 4.08e-15 1.1e-16 * 0 * 0 54900.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.62 GRS:2FGL_J2055.8+2539[naa+12],XRS:XMMU_J FermiBlind NRAD -2513 B2053+36 J2055+3630 20:55:31.3 1.0e-04 +36:30:21.4 2.0e-03 1.040 4.0e-02 -2.460 1.3e-01 0.170 3.0e-02 52275.00 79.133 -5.589 0.221508 3.0e-13 3.69e-16 2.0e-21 -1.070e-26 7.0e-28 * 0 49361.00 97.42 5.6e-03 * 0 28.00 1.0e+00 2.60 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.00 * gb1,gb2,gb3,gb4,gbncc * -2514 J2102+38 J2102+38 21:02 0 +38 0 * 0 * 0 * 0 54100.00 81.116 -5.597 1.190000 0 * 0 * 0 * 0 54100.00 85.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.62 * gb350 * -2515 J2105+07 J2105+07 21:05:27 1.2e+02 +07:57 8.0e+00 * 0 * 0 * 0 57022.00 57.202 -25.054 3.746630 0 * 0 * 0 * 0 57022.00 52.60 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * - -2516 J2105+28 J2105+28 21:06 2.0e+00 +28:29 1.8e+01 * 0 * 0 * 0 56292.00 74.391 -12.468 0.405737 1.1e-05 * 0 * 0 * 0 56292.00 62.40 8.0e-01 * 0 8.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.84 * gbncc * -2517 J2105+6223 J2105+6223 21:05:12.9 2.0e-02 +62:23:05.5 1.0e-01 * 0 * 0 * 0 56774.00 99.793 10.176 2.304879 4.0e-11 5.22e-15 6.0e-19 * 0 * 0 56774.00 50.75 8.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.72 * gbncc RRAT -2518 J2108-3429 J2108-3429 21:08:30.4 2.0e-02 -34:29:37.9 4.0e-01 * 0 * 0 * 0 49314.17 9.698 -42.163 1.423102 2.0e-10 3.50e-15 3.0e-18 * 0 * 0 49314.17 30.22 1.0e-02 * 0 6.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * pks70 * -2519 B2106+44 J2108+4441 21:08:20.4 6.0e-03 +44:41:48.8 6.0e-02 3.500 1.3e+00 1.400 1.4e+00 * 0 48736.00 86.909 -2.012 0.414871 6.0e-13 8.62e-17 6.0e-21 6.100e-28 2.2e-28 * 0 48736.00 139.83 1.1e-02 * 0 26.00 2.0e+00 5.40 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.35 * jb1,gb1,gb3,gb4,gbncc * -2520 J2111+2106 J2111+2106 21:11:33.1 6.0e-02 +21:06:07.0 1.4e+00 * 0 * 0 * 0 54987.00 69.398 -18.205 3.953853 6.0e-10 3.24e-15 2.0e-17 * 0 * 0 54987.00 59.30 3.5e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 8.40 * gb350 * - -2521 J2111+40 J2111+40 21:11 0 +40 0 * 0 * 0 * 0 54100.00 83.785 -5.559 4.061000 0 * 0 * 0 * 0 54100.00 120.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 5.28 * gb350 * -2522 J2111+4606 J2111+4606 21:11:24.1 3.0e-02 +46:06:31.3 3.0e-01 * 0 * 0 * 0 55225.00 88.310 -1.445 0.157830 1.0e-11 1.43e-13 8.0e-19 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2111.3+4605[naa+12] FermiBlind NRAD -2523 B2110+27 J2113+2754 21:13:04.3 1.8e-03 +27:54:02.2 3.0e-02 -23.000 2.0e+00 -54.000 3.0e+00 * 0 48741.00 74.993 -14.025 1.202852 1.2e-12 2.62e-15 9.0e-21 4.900e-29 8.0e-29 * 0 48741.00 25.11 1.8e-04 * 0 18.00 3.0e+00 1.10 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.87 * misc,gb3,ar4,gb4 * -2524 B2111+46 J2113+4644 21:13:24.3 4.0e-03 +46:44:08.8 5.0e-02 -4.000 1.3e+01 9.000 1.4e+01 * 0 53915.00 89.003 -1.266 1.014685 5.0e-12 7.15e-16 1.2e-20 1.853e-26 1.1e-28 * 0 46614.00 141.26 9.0e-02 * 0 230.00 1.1e+01 19.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.00 * jb1,gb1,gb3,gb4,gbncc * -2525 J2113+67 J2113+67 21:14 3.0e+00 +67:02 1.8e+01 * 0 * 0 * 0 56292.00 103.973 12.561 0.552170 8.8e-06 * 0 * 0 * 0 56292.00 55.10 8.0e-01 * 0 1.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.89 * gbncc * - -2526 B2113+14 J2116+1414 21:16:13.7 3.0e-03 +14:14:21.0 7.0e-02 8.000 1.5e+01 -11.000 5.0e+00 * 0 48471.00 64.464 -23.409 0.440153 1.4e-12 2.89e-16 1.0e-20 -8.500e-27 6.0e-28 * 0 48471.00 56.20 6.1e-03 * 0 9.00 1.0e+00 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * mol2 * -2527 J2122+54 J2122+54 21:23 1.0e+00 +54:33 8.0e+00 * 0 * 0 * 0 56292.00 95.648 3.121 0.138866 1.3e-06 * 0 * 0 * 0 56292.00 31.70 7.0e-01 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.81 * gbncc * -2528 B2122+13 J2124+1407 21:24:46.5 1.5e-02 +14:07:19.3 3.1e-01 * 0 * 0 * 0 49872.00 65.795 -25.092 0.694053 3.0e-12 7.68e-16 3.0e-20 4.100e-27 8.0e-28 * 0 49872.00 30.25 1.3e-03 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.81 * gb2 * -2529 J2124-3358 J2124-3358 21:24:43.8 1.0e-05 -33:58:44.8 3.0e-04 -14.140 4.0e-02 -50.080 9.0e-02 2.400 4.0e-01 54500.00 10.925 -45.438 0.004931 1.5e-16 2.06e-20 8.0e-25 * 0 * 0 54500.00 4.60 0 * 0 17.00 4.0e+00 3.60 1.7e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.41 GRS:2FGL_J2124.6-3357[naa+12] pks70 HE[bt99,aaa+09f] -2530 B2123-67 J2127-6648 21:27:31.2 1.6e-01 -66:48:28.1 9.0e-01 * 0 * 0 * 0 43557.12 326.392 -39.777 0.325771 1.1e-10 2.26e-16 5.0e-18 * 0 * 0 43557.12 35.00 3.0e+00 * 0 7.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.00 * mol2,pks70 * - -2531 J2129-0429 J2129-0429 21:29:45.0 1.0e-03 -04:29:05.5 8.0e-02 * 0 * 0 * 0 55196.00 48.912 -36.939 0.007620 0 * 0 * 0 * 0 55196.00 16.90 0 * 0 0.50 0 * 0 ELL1 * 0 0.6352 3.0e-10 1.8550 4.2e-02 * 0 * 0 55702.1112 1.0e-07 * 0 * 0 1.83 GRS:2FGL_J2129.8-0428[naa+12],OPT:[bkb+1 FermiAssoc HE -2532 B2127+11A J2129+1210A 21:29:58.2 4.0e-06 +12:10:01.2 1.0e-04 -0.540 1.4e-01 -4.330 2.5e-01 * 0 55146.00 65.012 -27.312 0.110665 5.0e-14 -2.10e-17 2.0e-22 * 0 * 0 50000.00 67.31 5.0e-02 * 0 1.70 0 0.20 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2533 B2127+11B J2129+1210B 21:29:58.6 1.0e-03 +12:10:00.3 3.0e-02 1.700 3.3e+00 -1.900 5.9e+00 * 0 50000.00 65.013 -27.314 0.056133 9.0e-14 9.54e-18 6.0e-22 * 0 * 0 50000.00 67.69 1.2e-01 * 0 1.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2534 B2127+11C J2129+1210C 21:30:01.2 1.0e-04 +12:10:38.2 4.0e-03 -1.300 5.0e-01 -3.300 1.0e+00 * 0 50000.00 65.030 -27.315 0.030529 1.0e-14 4.99e-18 2.0e-23 * 0 * 0 50000.00 67.13 5.0e-02 * 0 0.64 0 * 0 DD 50000.0643 3.0e-07 0.3353 5.0e-11 2.5185 6.0e-05 345.31 5.0e-04 6.814e-01 2.0e-06 * 0 * 0 * 0 14.20 GC:M15 misc * -2535 B2127+11D J2129+1210D 21:29:58.2 7.0e-03 +12:09:59.7 1.3e-01 * 0 * 0 * 0 47632.52 65.012 -27.313 0.004803 3.0e-13 -1.08e-18 1.2e-20 * 0 * 0 47632.52 67.30 2.0e-01 * 0 0.34 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * - -2536 B2127+11E J2129+1210E 21:29:58.1 4.0e-03 +12:10:08.6 8.0e-02 * 0 * 0 * 0 47632.52 65.014 -27.311 0.004651 1.3e-13 1.78e-19 7.0e-21 * 0 * 0 47632.52 66.51 1.2e-01 * 0 0.24 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2537 B2127+11F J2129+1210F 21:29:57.1 5.0e-03 +12:10:02.9 1.0e-01 * 0 * 0 * 0 47632.52 65.010 -27.309 0.004027 1.5e-13 3.20e-20 8.0e-21 * 0 * 0 47632.52 65.52 1.5e-01 * 0 0.14 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2538 B2127+11G J2129+1210G 21:29:57.9 3.0e-02 +12:09:57.3 6.0e-01 * 0 * 0 * 0 47632.52 65.011 -27.312 0.037660 8.0e-12 2.00e-18 5.0e-19 * 0 * 0 47632.52 66.40 2.0e-01 * 0 0.13 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2539 B2127+11H J2129+1210H 21:29:58.1 5.0e-03 +12:09:59.4 1.0e-01 * 0 * 0 * 0 47632.52 65.012 -27.312 0.006743 3.0e-13 2.40e-20 1.3e-20 * 0 * 0 47632.52 67.15 1.2e-01 * 0 0.16 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 14.20 GC:M15 misc * -2540 J2129-5721 J2129-5721 21:29:22.7 1.2e-05 -57:21:14.2 1.2e-04 9.250 4.0e-02 -9.580 4.0e-02 * 0 54500.00 338.005 -43.570 0.003726 3.0e-17 2.09e-20 2.0e-25 * 0 * 0 54500.00 31.85 0 -0.000 4.0e-05 14.00 2.0e+00 1.10 7.0e-01 ELL1 * 0 6.6255 1.3e-09 3.5006 1.4e-07 197.08 0.0e+00 1.219e-05 0.0e+00 50442.6431 4.0e-07 -3.580e-06 8.0e-08 -1.165e-05 8.0e-08 3.20 * pks70 * - -2541 J2136-1606 J2136-1606 21:36:00.2 1.0e-01 -16:06:13.0 4.0e+00 * 0 * 0 * 0 55764.00 36.204 -43.554 1.227235 6.0e-11 1.60e-17 3.0e-18 * 0 * 0 55764.00 18.48 5.0e-02 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.63 * gb350 * -2542 J2137+64 J2137+64 21:37 3.0e+00 +64:19 1.8e+01 * 0 * 0 * 0 56292.00 103.714 8.969 1.750870 1.4e-04 * 0 * 0 * 0 56292.00 106.00 2.0e+00 * 0 6.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.74 * gbncc * -2543 J2138+4911 J2138+4911 21:38 0 +49:11 0 * 0 * 0 * 0 54100.00 93.663 -2.375 0.696000 0 * 0 * 0 * 0 54100.00 168.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.20 * gb350 * -2544 J2139+00 J2139+00 21:39:42 1.6e+01 +00:36 5.0e+00 * 0 * 0 * 0 49717.00 55.912 -36.261 0.312470 3.0e-06 * 0 * 0 * 0 49717.00 36.00 7.0e+00 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * -2545 J2139+2242 J2139+2242 21:39:26.9 1.0e-02 +22:42:42.0 2.0e-01 * 0 * 0 * 0 49800.00 75.293 -21.920 1.083514 2.0e-11 1.42e-15 2.0e-18 * 0 * 0 49800.00 44.16 7.5e-04 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.93 * gb4,ar4 * - -2546 J2139+4716 J2139+4716 21:39:55.9 9.0e-02 +47:16:13 1.0e+00 * 0 * 0 * 0 55225.00 92.633 -4.020 0.282849 1.6e-11 1.79e-15 1.6e-18 * 0 * 0 55225.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * GRS:2FGL_J2139.8+4714[naa+12] FermiBlind NRAD -2547 J2140-2310A J2140-2310A 21:40:22.4 4.6e-04 -23:10:48.7 9.7e-03 * 0 * 0 * 0 52162.00 27.179 -46.837 0.011019 6.7e-15 -5.18e-20 2.0e-22 * 0 * 0 52162.00 25.06 4.1e-03 * 0 * 0 0.08 3.0e-02 ELL1 * 0 0.1740 3.4e-10 0.2349 4.8e-06 * 0 * 0 52161.9455 6.8e-07 0.000e+00 9.0e-05 0.000e+00 9.0e-05 9.20 GC:M30 misc * -2548 J2140-2310B J2140-2310B 21:40:22 1.6e+01 -23:10:47 2.7e+02 * 0 * 0 * 0 52162.00 27.179 -46.835 0.012986 3.0e-09 * 0 * 0 * 0 52162.00 25.09 1.2e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 9.20 GC:M30 misc * -2549 J2143+0654 J2143+0654 21:43:03.3 4.0e-02 +06:54:17.5 6.0e-01 * 0 * 0 * 0 54065.00 62.655 -33.139 9.428229 1.0e-07 4.09e-14 1.8e-14 * 0 * 0 54383.65 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 * XRS:RX_J2143.0+0654,OPT:[kkvh11] misc XINS,NRAD -2550 J2144-3933 J2144-3933 21:44:12.0 4.5e-05 -39:33:56.8 3.2e-04 -57.890 8.8e-01 -155.900 5.4e-01 6.050 5.6e-01 54100.00 2.794 -49.466 8.509827 3.0e-09 4.96e-16 5.0e-18 * 0 * 0 49016.00 3.35 1.0e-02 * 0 16.00 0 0.80 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.16 * pks70 * - -2551 J2144-5237 J2144-5237 21:44:39.2 8.0e-02 -52:37:32.1 3.8e+00 * 0 * 0 * 0 56657.00 343.421 -47.130 0.005040 0 * 0 * 0 * 0 56657.00 19.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.58 * ghrss * -2552 J2145-0750 J2145-0750 21:45:50.4 9.0e-06 -07:50:18.4 4.0e-04 -9.460 5.0e-02 -9.080 6.0e-02 1.630 4.0e-02 55000.00 47.777 -42.084 0.016052 1.5e-16 2.98e-20 3.0e-24 * 0 * 0 55000.00 9.00 0 0.000 3.0e-05 100.00 3.0e+01 8.90 1.2e+01 ELL1 * 0 6.8389 5.0e-11 10.1641 3.0e-07 200.74 0.0e+00 1.931e-05 0.0e+00 50802.2982 3.0e-08 -6.840e-06 1.3e-08 -1.806e-05 1.4e-08 0.53 * pks70 * -2553 B2148+63 J2149+6329 21:49:58.5 3.0e-02 +63:29:43.5 2.0e-01 14.000 3.0e+00 10.000 4.0e+00 * 0 44240.00 104.254 7.412 0.380140 2.0e-11 1.68e-16 7.0e-19 * 0 * 0 43890.80 129.72 5.5e-03 * 0 32.00 2.0e+00 2.90 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.88 * jb1,gb1,gb2,gb3,gb4 * -2554 B2148+52 J2150+5247 21:50:37.7 1.9e-03 +52:47:49.6 1.7e-02 * 0 * 0 * 0 49693.00 97.521 -0.915 0.332206 1.8e-12 1.01e-14 1.5e-20 -1.100e-26 3.0e-27 * 0 49693.00 148.93 4.0e-03 * 0 15.60 8.0e-01 2.00 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.61 * gb2,gb3 * -2555 J2151+2315 J2151+2315 21:51:28.9 1.0e-01 +23:15:12.8 5.0e-01 * 0 * 0 * 0 51594.00 77.849 -23.471 0.593534 3.0e-09 7.08e-16 3.0e-18 * 0 * 0 51594.00 23.60 2.0e-01 * 0 1.60 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.91 * ar4 * - -2556 J2154-28 J2154-28 21:54:48 3.0e+01 -28:08 7.0e+00 * 0 * 0 * 0 57388.00 20.879 -51.083 1.343350 2.0e-05 * 0 * 0 * 0 57388.00 28.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks_superb * -2557 J2155+2813 J2155+2813 21:55:15.8 1.0e-02 +28:13:12.1 2.0e-01 * 0 * 0 * 0 51594.00 82.131 -20.370 1.609020 6.0e-10 9.16e-16 9.0e-19 * 0 * 0 51594.00 77.13 4.3e-03 * 0 2.10 1.0e-01 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar4 * -2558 B2152-31 J2155-3118 21:55:13.6 3.8e-02 -31:18:54.7 1.0e+00 * 0 * 0 * 0 48714.00 15.845 -51.577 1.030002 7.0e-12 1.24e-15 5.0e-20 2.300e-27 5.0e-28 * 0 48714.00 14.85 5.0e-02 * 0 12.00 2.0e+00 0.50 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.30 * mol2,pks70 * -2559 B2151-56 J2155-5641 21:55:01.4 6.0e-01 -56:41:57 5.0e+00 * 0 * 0 * 0 43557.13 337.046 -47.054 1.373654 2.0e-09 4.23e-15 1.0e-16 * 0 * 0 43557.13 14.00 9.0e+00 * 0 2.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.04 * mol2 * -2560 J2156+2618 J2156+2618 21:56:23.7 6.0e-03 +26:18:30.4 1.8e-01 * 0 * 0 * 0 49079.50 80.976 -21.969 0.498149 2.0e-11 1.42e-17 1.0e-18 * 0 * 0 49079.50 48.44 3.9e-03 * 0 2.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.10 * ar4 * - -2561 B2154+40 J2157+4017 21:57:01.8 1.0e-04 +40:17:45.9 2.0e-03 16.130 1.0e-01 4.120 1.2e-01 0.280 6.0e-02 52275.00 90.488 -11.341 1.525266 1.2e-11 3.43e-15 7.0e-20 -4.220e-26 6.0e-28 * 0 49277.00 71.12 2.2e-03 * 0 105.00 7.0e+00 17.00 2.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.90 * gb1,gb3,gb4 * -2562 J2203+50 J2203+50 22:03 0 +50 0 * 0 * 0 * 0 54100.00 97.322 -4.307 0.745000 0 * 0 * 0 * 0 54100.00 79.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.06 * gb350 * -2563 J2204+27 J2204+27 22:04:40 7.0e+00 +27:02:00 1.0e+02 * 0 * 0 * 0 55805.00 83.001 -22.626 0.084700 0 * 0 * 0 * 0 55805.00 35.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.18 * ar327 * -2564 J2205+1444 J2205+1444 22:05:17.2 1.3e-02 +14:44:31.3 4.0e-01 * 0 * 0 * 0 49079.50 73.886 -31.885 0.938014 1.0e-10 9.00e-16 7.0e-18 * 0 * 0 49079.50 36.72 1.4e-02 * 0 1.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.04 * ar4 * -2565 J2206+6151 J2206+6151 22:06:18.1 6.0e-03 +61:51:58.1 3.0e-02 * 0 * 0 * 0 56100.00 104.735 4.977 0.322674 5.0e-12 3.97e-16 4.0e-18 * 0 * 0 56100.00 167.00 0 * 0 1.20 0 0.80 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.03 * htru_eff,gbncc * - -2566 J2207+40 J2207+40 22:07 2.0e+00 +40:57 1.8e+01 * 0 * 0 * 0 56292.00 92.424 -11.983 0.636985 8.5e-06 * 0 * 0 * 0 56292.00 12.00 2.0e+00 * 0 3.80 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.76 * gbncc * -2567 J2208+5500 J2208+5500 22:08:23.7 1.0e-02 +55:00:08.4 5.0e-02 * 0 * 0 * 0 54315.00 100.939 -0.751 0.933161 6.0e-12 6.99e-15 6.0e-19 * 0 * 0 54315.00 101.03 0 * 0 * 0 0.26 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.99 * misc * -2568 J2210+57 J2210+57 22:11 3.0e+00 +57:29 1.8e+01 * 0 * 0 * 0 56292.00 102.666 1.066 2.057430 1.3e-04 * 0 * 0 * 0 56292.00 189.43 6.0e-02 * 0 1.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * gbncc * -2569 B2210+29 J2212+2933 22:12:23.3 6.9e-03 +29:33:05.6 1.0e-01 * 0 * 0 * 0 49686.00 86.136 -21.731 1.004593 4.0e-12 4.95e-16 4.0e-20 -2.800e-27 5.0e-28 * 0 49686.00 74.52 1.5e-03 * 0 6.30 8.0e-01 0.90 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb2 * -2570 J2213+53 J2213+53 22:13 0 +53 0 * 0 * 0 * 0 54100.00 100.342 -2.778 0.751000 0 * 0 * 0 * 0 54100.00 161.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * gb350 * - -2571 J2214+3000 J2214+3000 22:14:38.8 1.2e-05 +30:00:38.1 1.7e-04 * 0 * 0 2.300 7.0e-01 56610.00 86.855 -21.665 0.003119 1.6e-17 1.47e-20 1.0e-24 * 0 * 0 56610.00 22.55 2.5e-03 * 0 * 0 0.53 0 ELL1 * 0 0.4166 3.0e-10 0.0591 3.0e-07 324.09 0.0e+00 3.581e-05 0.0e+00 56609.8485 4.0e-07 -2.100e-05 8.0e-06 2.900e-05 8.0e-06 0.60 OPT:[sh14],GRS:2FGL_J2214.7+3000[naa+12] FermiAssoc HE -2572 J2215+1538 J2215+1538 22:15:39.6 4.0e-03 +15:38:34.8 7.0e-02 * 0 * 0 * 0 49079.50 76.783 -32.929 0.374196 1.6e-12 2.37e-15 1.6e-19 * 0 * 0 49079.50 29.24 1.2e-03 * 0 3.70 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.14 * ar4,gb4 * -2573 J2215+5135 J2215+5135 22:15:32.6 4.0e-04 +51:35:36.3 1.3e-02 170.000 2.2e+01 82.000 2.4e+01 * 0 55610.00 99.868 -4.159 0.002610 7.0e-16 3.34e-20 7.0e-22 * 0 * 0 55610.00 69.20 2.0e-04 * 0 5.00 0 * 0 ELL1 * 0 0.1725 8.0e-09 0.4681 1.3e-05 68.20 0.0e+00 1.077e-05 0.0e+00 55186.1645 1.0e-06 1.000e-05 3.0e-05 4.000e-06 1.4e-05 2.77 OPT:[bvr+13] FermiAssoc HE -2574 J2216+5759 J2216+5759 22:16:05.2 3.0e-02 +57:59:53.7 3.0e-01 * 0 * 0 * 0 56100.00 103.517 1.107 0.419102 2.0e-11 6.90e-14 2.0e-18 * 0 * 0 56100.00 176.00 0 * 0 * 0 0.23 6.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.59 * htru_eff * -2575 J2217+5733 J2217+5733 22:17:55.0 2.0e-02 +57:33:04.0 2.0e-01 * 0 * 0 * 0 54315.00 103.472 0.599 1.056844 4.0e-11 6.51e-16 2.0e-18 * 0 * 0 54315.00 162.75 0 * 0 3.70 0 0.26 8.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.43 * misc,gbncc * - -2576 B2217+47 J2219+4754 22:19:48.1 3.0e-03 +47:54:53.9 3.0e-02 -12.000 8.0e+00 -30.000 6.0e+00 * 0 46599.00 98.385 -7.598 0.538469 1.2e-12 2.77e-15 5.0e-21 -3.180e-27 1.3e-28 * 0 46599.00 43.50 5.0e-04 * 0 111.00 1.2e+01 3.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * misc,jb1,gb1,gb3,gb4,gbncc * -2577 J2222-0137 J2222-0137 22:22:05.9 7.0e-06 -01:37:15.7 1.0e-04 44.730 2.0e-02 -5.680 6.0e-02 3.742 1.6e-02 55473.00 62.018 -46.075 0.032818 4.0e-16 5.80e-21 4.0e-25 * 0 * 0 56000.00 3.28 0 0.001 0 * 0 * 0 DD 56001.3838 8.0e-05 2.4458 1.3e-07 10.8480 6.0e-07 119.90 1.1e-02 3.810e-04 3.0e-08 * 0 * 0 * 0 0.27 OPT:[blr+13,kbd+14],XRS:[pb15] gb350 * -2578 J2222+2923 J2222+2923 22:23:03.2 1.1e-02 +29:23:58.6 1.4e-01 * 0 * 0 * 0 51242.00 88.050 -23.242 0.281399 1.6e-12 6.17e-18 3.0e-20 2.400e-27 1.1e-26 * 0 51242.00 49.41 1.1e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.63 * ar4 * -2579 J2222+5602 J2222+5602 22:22 0 +56 0 * 0 * 0 * 0 54100.00 103.093 -1.005 1.336000 0 * 0 * 0 * 0 54100.00 168.00 0 * 0 21.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.57 * gb350,gbncc * -2580 J2225+35 J2225+35 22:24:48 0 +35:30 0 * 0 * 0 * 0 54466.00 92.108 -18.448 0.940000 0 * 0 * 0 * 0 54466.00 51.80 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.98 * misc RRAT - -2581 B2224+65 J2225+6535 22:25:52.7 7.0e-03 +65:35:35.5 4.0e-02 144.000 3.0e+00 112.000 3.0e+00 * 0 53880.00 108.637 6.846 0.682542 1.0e-11 9.66e-15 1.0e-18 -8.600e-27 2.8e-27 * 0 54420.00 36.44 5.1e-04 * 0 22.00 2.0e+00 2.00 4.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.88 XRS:[hb07b],OPT:Guitar_Nebula[crl93] jb1,gb1,gb2,gb3,gb4,gbncc * -2582 J2227+30 J2227+30 22:27:30 2.3e+01 +30:36 5.0e+00 * 0 * 0 * 0 49700.00 89.656 -22.815 0.842408 3.0e-06 * 0 * 0 * 0 49700.00 33.00 3.0e+00 * 0 2.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.82 * misc * -2583 J2229+2643 J2229+2643 22:29:50.8 2.0e-05 +26:43:57.6 2.6e-04 * 0 * 0 0.800 7.0e-01 56937.00 87.693 -26.284 0.002978 4.0e-17 1.52e-21 7.0e-24 * 0 * 0 56937.00 22.73 6.0e-04 0.001 5.0e-04 13.00 0 0.90 2.0e-01 DD 56953.9954 1.6e-03 93.0159 1.5e-07 18.9125 3.0e-07 14.34 6.0e-03 2.553e-04 4.0e-08 * 0 * 0 * 0 1.80 * ar4 * -2584 J2229+6114 J2229+6114 22:29:05.2 7.0e-02 +61:14:09.3 5.0e-01 * 0 * 0 * 0 51980.00 106.647 2.949 0.051624 6.0e-11 7.83e-14 2.0e-17 * 0 * 0 51980.00 204.97 2.0e-02 * 0 1.50 0 0.25 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 SNR:G106.6+2.9,GRS:2FGL_J2229.0+6114[naa misc,gbncc HE[hcg+01,ppp+09,aaa+09i] -2585 B2227+61 J2229+6205 22:29:41.8 9.7e-03 +62:05:36.0 6.8e-02 * 0 * 0 * 0 49840.00 107.154 3.645 0.443055 4.0e-12 2.26e-15 3.0e-20 -1.200e-26 3.0e-27 * 0 49840.00 124.64 3.1e-03 * 0 17.00 8.0e-01 0.80 1.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.01 * gb1,gb3,gbncc * - -2586 J2229+64 J2229+64 22:29 3.0e+00 +64:58 1.8e+01 * 0 * 0 * 0 56292.00 108.584 6.141 1.893120 1.3e-04 * 0 * 0 * 0 56292.00 194.00 1.0e+00 * 0 3.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.91 * gbncc * -2587 J2234+0611 J2234+0611 22:34:23.0 6.3e-06 +06:11:28.6 2.0e-04 * 0 * 0 0.660 2.0e-01 57026.00 72.991 -43.006 0.003577 3.0e-17 1.20e-20 4.0e-24 * 0 * 0 57026.00 10.76 1.5e-03 * 0 0.30 0 0.70 0 DD 57018.1030 6.0e-07 32.0014 1.4e-07 13.9375 1.0e-07 277.17 7.0e-06 1.293e-01 1.4e-08 * 0 * 0 * 0 1.52 * ar327 * -2588 J2234+0944 J2234+0944 22:34:46.8 1.1e-05 +09:44:30.2 3.3e-04 * 0 * 0 1.300 5.0e-01 56917.00 76.280 -40.438 0.003627 6.0e-17 2.01e-20 4.0e-24 * 0 * 0 56917.00 17.83 1.4e-03 * 0 * 0 * 0 ELL1 * 0 0.4197 5.0e-10 0.0684 3.0e-07 353.66 0.0e+00 4.528e-06 0.0e+00 56917.0483 4.0e-07 -5.000e-07 6.0e-06 4.500e-06 5.1e-06 1.59 GRS:3FGL_J2234.8+0945[aaa+15] FermiAssoc * -2589 J2234+2114 J2234+2114 22:34:56.6 3.0e-02 +21:14:18.8 5.0e-01 * 0 * 0 * 0 49079.50 85.138 -31.435 1.358745 5.0e-11 2.22e-16 5.0e-18 * 0 * 0 49079.50 35.08 9.0e-02 * 0 2.60 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.47 * ar4 * -2590 J2235+1506 J2235+1506 22:35:43.7 1.0e-04 +15:06:49.0 5.0e-03 15.000 4.0e+00 10.000 8.0e+00 * 0 49250.00 80.878 -36.444 0.059767 9.0e-15 1.58e-19 7.0e-22 * 0 * 0 49250.00 18.09 5.0e-02 * 0 3.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.54 * ar4 * - -2591 J2236-5527 J2236-5527 22:36:51.8 8.0e-04 -55:27:48.8 4.0e-03 * 0 * 0 * 0 55758.00 334.166 -52.719 0.006908 3.0e-15 9.60e-21 6.0e-22 * 0 * 0 55758.00 20.00 5.0e-01 * 0 * 0 0.28 8.0e-03 BT 55472.5510 7.0e-03 12.6892 1.4e-07 8.7759 7.0e-06 350.80 1.8e+00 5.020e-05 1.8e-06 * 0 * 0 * 0 2.05 * htru_pks * -2592 J2238+5903 J2238+5903 22:38:28.2 4.0e-02 +59:03:40.8 4.0e-01 * 0 * 0 * 0 54800.00 106.562 0.482 0.162734 1.1e-11 9.70e-14 6.0e-18 1.100e-22 2.0e-23 * 0 54800.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.83 GRS:2FGL_J2238.4+5902[naa+12] FermiBlind NRAD -2593 J2238+6021 J2238+6021 22:38 0 +60:21 0 * 0 * 0 * 0 54100.00 107.140 1.636 3.070000 0 * 0 * 0 * 0 54100.00 182.00 0 * 0 111.10 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.63 * gb350,gbncc * -2594 J2240+5832 J2240+5832 22:40:42.9 4.0e-03 +58:32:37.5 4.0e-02 -6.100 8.0e-01 -21.000 4.0e-01 * 0 54000.00 106.566 -0.111 0.139935 2.0e-06 1.54e-14 3.0e-18 * 0 * 0 54000.00 263.50 5.0e-02 * 0 * 0 2.70 7.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 7.27 * misc HE[tpc+11] -2595 J2241-5236 J2241-5236 22:41:42.0 5.0e-05 -52:36:36.2 3.0e-04 * 0 * 0 * 0 55044.20 337.457 -54.927 0.002187 1.5e-15 6.64e-21 5.0e-23 * 0 * 0 55044.20 11.41 3.0e-05 * 0 * 0 4.10 1.0e-01 BT 55044.1581 6.0e-07 0.1457 3.0e-10 0.0258 1.4e-07 * 0 0.000e+00 1.0e-05 * 0 * 0 * 0 0.96 GRS:2FGL_J2241.7-5236[naa+12],XRS: FermiAssoc,ghrss HE - -2596 B2241+69 J2242+6950 22:42:56.4 1.1e-01 +69:50:52.1 4.9e-01 * 0 * 0 * 0 49690.00 112.221 9.695 1.664501 2.0e-11 4.82e-15 1.4e-19 -1.200e-27 1.0e-27 * 0 49690.00 40.86 7.3e-04 * 0 2.40 7.0e-01 0.40 2.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.01 * gb2,gbncc * -2597 J2243+1518 J2243+1518 22:43:09.7 4.0e-03 +15:18:25.1 1.1e-01 * 0 * 0 * 0 53258.00 82.809 -37.377 0.596799 4.0e-12 1.13e-16 7.0e-19 * 0 * 0 53258.00 42.13 4.7e-01 * 0 0.16 5.0e-02 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * misc * -2598 J2243+69 J2243+69 22:44 7.0e+00 +69:40 1.8e+01 * 0 * 0 * 0 56292.00 112.215 9.492 0.855405 3.2e-05 * 0 * 0 * 0 56292.00 68.00 2.0e+00 * 0 3.20 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.54 * gbncc * -2599 J2244+63 J2244+63 22:44 0 +63 0 * 0 * 0 * 0 54100.00 109.039 3.618 0.461000 0 * 0 * 0 * 0 54100.00 92.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.63 * gb350 * -2600 J2248-0101 J2248-0101 22:48:26.9 1.8e-02 -01:01:48.1 6.0e-01 * 0 * 0 * 0 50866.00 69.256 -50.620 0.477233 3.0e-12 6.59e-16 3.0e-20 3.500e-26 4.0e-27 * 0 50866.00 29.05 3.0e-02 * 0 11.00 0 0.90 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks70 * - -2601 J2253+1516 J2253+1516 22:53:14.5 4.0e-03 +15:16:37.8 8.0e-02 * 0 * 0 * 0 49079.50 85.305 -38.809 0.792236 4.0e-12 6.65e-17 4.0e-19 * 0 * 0 49079.50 29.20 1.7e-03 * 0 2.40 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.81 * ar4 * -2602 J2256-1024 J2256-1024 22:56:56.3 1.0e-02 -10:24:34.3 1.2e-01 * 0 * 0 * 0 55196.00 59.231 -58.293 0.002290 0 * 0 * 0 * 0 55196.00 13.80 0 * 0 7.00 0 * 0 BT * 0 0.2100 0 0.0830 0 * 0 * 0 * 0 * 0 * 0 1.33 OPT:[bvr+13] FermiAssoc HE -2603 B2255+58 J2257+5909 22:57:57.7 3.0e-03 +59:09:14.8 2.3e-02 * 0 * 0 * 0 50085.00 108.831 -0.575 0.368246 7.0e-12 5.75e-15 6.0e-20 -8.100e-26 1.0e-26 * 0 50085.00 151.08 6.0e-03 * 0 34.00 2.0e+00 9.20 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.00 * jb1,gb1,gb3,gb4,gbncc * -2604 J2301+5852 J2301+5852 23:01:08.2 3.3e-01 +58:52:44.4 6.0e-01 -6.400 6.0e-01 -2.300 6.0e-01 * 0 54852.00 109.087 -0.996 6.979071 1.5e-09 4.71e-13 4.0e-17 * 0 * 0 54852.00 * 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.30 SNR:CTB109,XRS:1E_2259+586 misc AXP,NRAD -2605 J2302+4442 J2302+4442 23:02:46.9 3.0e-05 +44:42:22.0 3.0e-04 -0.050 1.3e-01 -5.850 1.2e-01 1.200 1.2e+00 56279.00 103.395 -14.005 0.005192 3.0e-16 1.38e-20 9.0e-23 * 0 * 0 56279.00 13.73 3.0e-04 * 0 11.30 0 1.20 4.0e-01 DDH 56302.6599 6.0e-04 125.9353 1.3e-07 51.4300 5.0e-07 207.89 1.8e-03 5.030e-04 1.7e-08 * 0 * 0 * 0 0.86 GRS:2FGL_J2302.7+4443[naa+12],XRS:XMMUJ2 misc,gbncc HE - -2606 J2302+6028 J2302+6028 23:02:11.2 2.0e-02 +60:28:00.2 8.0e-02 * 0 * 0 * 0 49800.00 109.859 0.398 1.206404 2.0e-11 2.04e-15 3.0e-18 * 0 * 0 49800.00 156.70 1.0e-01 * 0 12.00 1.0e+00 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.17 * gb4,gbncc * -2607 B2303+30 J2305+3100 23:05:58.3 1.0e-02 +31:00:01.7 1.5e-01 2.000 2.0e+00 -20.000 2.0e+00 * 0 48714.00 97.721 -26.657 1.575886 8.0e-12 2.89e-15 5.0e-20 2.120e-27 2.0e-28 * 0 48714.00 49.58 1.2e-03 * 0 24.00 2.0e+00 2.20 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * gb1,ar4,gb4 * -2608 B2303+46 J2305+4707 23:05:55.8 1.7e-02 +47:07:45.3 1.7e-01 * 0 * 0 * 0 46107.00 104.931 -12.021 1.066371 1.6e-11 5.69e-16 1.6e-19 * 0 * 0 46107.00 62.07 3.6e-03 * 0 1.90 4.0e-01 * 0 BT 47452.5607 1.7e-05 12.3395 1.7e-07 32.6878 3.0e-04 35.08 7.0e-04 6.584e-01 9.0e-06 * 0 * 0 * 0 3.16 * gb2 * -2609 J2307+2225 J2307+2225 23:07:41.2 1.3e-02 +22:25:50.1 1.9e-01 * 0 * 0 * 0 49079.50 93.570 -34.458 0.535829 7.0e-12 8.70e-18 7.0e-19 * 0 * 0 49079.50 7.02 1.0e-02 * 0 2.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.49 * ar4 * -2610 B2306+55 J2308+5547 23:08:13.8 5.0e-03 +55:47:36.0 4.0e-02 -15.000 8.0e+00 0.000 2.7e+01 * 0 48717.00 108.729 -4.206 0.475068 1.0e-12 1.99e-16 1.0e-20 -4.200e-27 4.0e-28 * 0 48717.00 46.54 3.7e-04 * 0 19.00 2.0e+00 1.90 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.08 * jb1,gb2,gb3,gb4,gbncc * - -2611 J2311+67 J2311+67 23:11 1.0e+00 +67:05 1.8e+01 * 0 * 0 * 0 56657.00 113.366 6.096 1.944700 2.0e-04 * 0 * 0 * 0 56657.00 97.10 2.0e-01 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.65 * gbncc RRAT -2612 B2310+42 J2313+4253 23:13:08.6 1.0e-04 +42:53:13.0 2.0e-03 24.150 1.0e-01 5.950 1.3e-01 0.930 7.0e-02 52275.00 104.410 -16.422 0.349434 5.0e-13 1.12e-16 1.9e-21 5.800e-27 3.0e-28 * 0 48241.00 17.28 3.3e-04 * 0 89.00 9.0e+00 15.00 4.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.06 * gb1,gb2,gb4,gbncc * -2613 J2315+58 J2315+58 23:15 0 +58 0 * 0 * 0 * 0 54100.00 110.418 -2.509 1.061000 0 * 0 * 0 * 0 54100.00 74.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.39 * gb350 * -2614 J2316+69 J2316+69 23:17 3.0e+00 +69:12 1.8e+01 * 0 * 0 * 0 56292.00 114.678 7.856 0.813386 2.2e-05 * 0 * 0 * 0 56292.00 71.00 2.0e+00 * 0 2.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * gbncc * -2615 J2317+1439 J2317+1439 23:17:09.2 8.1e-06 +14:39:31.2 2.3e-04 * 0 * 0 0.490 8.0e-02 54977.00 91.361 -42.360 0.003445 6.0e-18 2.43e-21 5.0e-26 * 0 * 0 54977.00 21.88 9.0e-03 * 0 19.00 0 4.00 1.0e+00 ELL1H * 0 2.4593 1.8e-11 2.3139 4.0e-08 91.76 0.0e+00 5.202e-07 0.0e+00 54976.6094 1.4e-08 5.200e-07 4.0e-08 -1.600e-08 3.7e-08 2.04 OPT:[dsw+17] ar4 * - -2616 B2315+21 J2317+2149 23:17:57.8 4.2e-03 +21:49:48.0 9.9e-02 * 0 * 0 * 0 48716.00 95.831 -36.075 1.444653 3.0e-12 1.05e-15 1.7e-20 -1.700e-28 1.1e-28 * 0 48716.00 20.87 3.1e-04 * 0 15.00 3.0e+00 0.90 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.80 * gb1,ar4,gb4 * -2617 J2319+6411 J2319+6411 23:19:35.2 2.0e-03 +64:11:25.7 7.0e-03 * 0 * 0 * 0 56100.00 113.138 3.079 0.216018 6.0e-14 1.63e-16 5.0e-19 * 0 * 0 56100.00 246.00 0 * 0 * 0 0.27 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 6.85 * gb350,htru_eff * -2618 B2319+60 J2321+6024 23:21:55.2 1.3e-02 +60:24:30.7 9.5e-02 -17.000 2.2e+01 -7.000 1.9e+01 * 0 49303.00 112.095 -0.566 2.256488 5.0e-12 7.04e-15 4.0e-20 -1.060e-27 1.0e-28 * 0 49303.00 94.59 1.8e-02 * 0 36.00 5.0e+00 12.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.70 * jb1,gb1,gb3,gb4,gbncc * -2619 J2322+2057 J2322+2057 23:22:22.3 7.0e-05 +20:57:02.6 1.4e-03 -18.400 4.0e-01 -15.400 5.0e-01 * 0 55000.00 96.515 -37.310 0.004808 1.7e-15 9.66e-21 2.0e-23 * 0 * 0 55000.00 13.36 4.0e-02 -0.003 5.0e-03 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.01 * ar4 * -2620 J2322-2650 J2322-2650 23:22:34.6 3.0e-05 -26:50:58.3 6.0e-04 -2.400 2.0e-01 -8.300 4.0e-01 4.400 1.2e+00 56152.00 28.637 -70.228 0.003463 1.1e-16 5.83e-22 1.5e-24 * 0 * 0 56152.00 6.15 2.0e-03 * 0 * 0 0.16 2.0e-02 ELL1 * 0 0.3230 6.0e-09 0.0028 6.0e-07 345.96 0.0e+00 8.246e-04 0.0e+00 56130.3541 2.0e-05 -2.000e-04 4.0e-04 8.000e-04 4.0e-04 0.23 OPT:(?)[sbb+18] htru_pks * - -2621 B2321-61 J2324-6054 23:24:26.9 8.0e-02 -60:54:06.1 6.0e-01 * 0 * 0 * 0 47401.81 320.425 -53.172 2.347486 2.0e-10 2.59e-15 3.0e-18 * 0 * 0 47401.81 14.00 6.0e-01 * 0 4.00 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.21 * mol2 * -2622 J2325-0530 J2325-0530 23:25:15.3 1.0e-01 -05:30:39 4.0e+00 * 0 * 0 * 0 56774.00 75.579 -60.200 0.868735 8.0e-12 1.03e-15 1.6e-18 * 0 * 0 56774.00 14.97 7.0e-03 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.49 * gb350 RRAT -2623 B2323+63 J2325+6316 23:25:13.3 5.5e-02 +63:16:52.3 3.7e-01 * 0 * 0 * 0 48309.00 113.418 2.013 1.436310 1.1e-11 2.83e-15 7.0e-20 6.900e-28 3.0e-28 * 0 48309.00 197.37 5.0e-02 * 0 8.00 2.0e+00 2.10 5.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 4.85 * gb1,gbncc * -2624 B2324+60 J2326+6113 23:26:58.6 2.5e-03 +61:13:36.4 1.8e-02 * 0 * 0 * 0 49678.00 112.946 0.003 0.233652 3.0e-13 3.53e-16 1.7e-21 2.900e-27 6.0e-28 * 0 49678.00 122.61 5.0e-03 * 0 17.00 1.0e+00 4.40 9.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * jb1,gb1,gb2,gb3,gbncc * -2625 J2326+6141 J2326+6141 23:26 0 +61 0 * 0 * 0 * 0 54100.00 112.761 -0.173 0.790000 0 * 0 * 0 * 0 54100.00 33.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 1.66 * gb350 * - -2626 J2329+16 J2329+16 23:29:50 3.1e+01 +16:57 8.0e+00 * 0 * 0 * 0 55343.00 96.414 -41.682 0.632100 0 * 0 * 0 * 0 55343.00 31.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * ar327 * -2627 B2327-20 J2330-2005 23:30:26.8 7.0e-03 -20:05:29.6 1.7e-01 74.700 1.9e+00 5.000 3.0e+00 * 0 49878.00 49.394 -70.190 1.643622 5.0e-12 4.63e-15 5.0e-20 3.400e-29 3.0e-28 * 0 49878.00 8.46 2.0e-03 * 0 42.00 8.0e+00 3.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.86 * misc,mol2,pks70 * -2628 J2333+6145 J2333+6145 23:33:19.4 5.0e-03 +61:45:30.0 3.0e-02 * 0 * 0 * 0 56100.00 113.831 0.275 0.756899 7.0e-12 1.18e-15 6.0e-19 * 0 * 0 56100.00 125.00 0 * 0 * 0 0.47 7.0e-02 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.73 * htru_eff * -2629 B2334+61 J2337+6151 23:37:05.7 1.0e-02 +61:51:01.5 7.0e-02 -1.000 1.8e+01 -15.000 1.6e+01 * 0 53100.00 114.284 0.233 0.495370 5.0e-12 1.93e-13 8.0e-19 1.446e-23 9.0e-26 -3.700e-31 2.0e-32 54521.00 58.41 1.5e-02 * 0 10.00 2.0e+00 1.40 3.0e-01 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 0.70 SNR:G114.3+0.3[frs93] gb2,gb3 * -2630 J2339-0533 J2339-0533 23:39:38.7 1.0e-02 -05:33:05.3 3.0e-02 11.000 4.0e+00 -29.000 1.0e+01 * 0 55100.00 81.349 -62.476 0.002884 1.7e-16 1.41e-20 7.0e-24 * 0 * 0 55100.00 * 0 * 0 * 0 * 0 ELL1 * 0 0.1931 4.0e-11 0.6117 4.0e-06 177.27 0.0e+00 2.102e-04 0.0e+00 55791.9182 3.0e-07 1.000e-05 1.0e-05 -2.100e-04 1.0e-07 1.10 GRS:0FGL_J2339.8-0530[aaa+10c],OPT:[rs11 FermiAssoc HE[rbs+14] - -2631 J2340+08 J2340+08 23:40:45 7.0e+00 +08:33:00 1.0e+02 * 0 * 0 * 0 56098.00 94.821 -50.423 0.303300 0 * 0 * 0 * 0 56098.00 24.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.29 * ar327 * -2632 J2343+6221 J2343+6221 23:43 0 +62:21 0 * 0 * 0 * 0 54100.00 115.085 0.526 1.799000 0 * 0 * 0 * 0 54100.00 117.00 0 * 0 * 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.62 * gb350 * -2633 J2346-0609 J2346-0609 23:46:50.4 1.7e-02 -06:09:59.5 5.6e-01 * 0 * 0 * 0 51021.00 83.798 -64.014 1.181463 5.0e-12 1.36e-15 5.0e-20 -1.100e-27 1.2e-27 * 0 51021.00 22.50 1.9e-02 * 0 11.00 0 2.00 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 25.00 * pks70 * -2634 J2352+65 J2352+65 23:52 0 +65 0 * 0 * 0 * 0 54100.00 116.702 2.850 1.164000 0 * 0 * 0 * 0 54100.00 152.00 0 * 0 26.50 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 3.05 * gb350,gbncc * -2635 J2353+85 J2353+85 23:54 7.0e+00 +85:34 8.0e+00 * 0 * 0 * 0 56292.00 121.740 22.828 1.011691 3.7e-05 * 0 * 0 * 0 56292.00 38.00 2.0e+00 * 0 4.90 0 * 0 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.58 * gbncc * - -2636 B2351+61 J2354+6155 23:54:04.7 4.0e-03 +61:55:46.7 2.0e-02 22.000 3.0e+00 6.000 2.0e+00 * 0 49405.00 116.239 -0.194 0.944784 1.1e-11 1.63e-14 9.0e-20 2.400e-26 1.6e-27 * 0 49405.00 94.66 6.0e-03 * 0 17.00 3.0e+00 5.00 1.0e+00 * * 0 * 0 * 0 * 0 * 0 * 0 * 0 * 0 2.40 * gb1,gb2,gb3,gb4,gbncc * 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+import astropy.units as u +import struct, os, os.path, presto, psr_utils, math, csv ## The most recent catalogs are available here: ## @@ -9,10 +11,10 @@ ## And here is the command used to get the data: # Note version number now! -# http://www.atnf.csiro.au/people/pulsar/psrcat/proc_form.php?version=1.58&Name=Name&JName=JName&RaJ=RaJ&DecJ=DecJ&PMRA=PMRA&PMDec=PMDec&PX=PX&PosEpoch=PosEpoch&GL=GL&GB=GB&P0=P0&P1=P1&F2=F2&F3=F3&PEpoch=PEpoch&DM=DM&DM1=DM1&S400=S400&S1400=S1400&Binary=Binary&T0=T0&PB=PB&A1=A1&OM=OM&Ecc=Ecc&Tasc=Tasc&Eps1=Eps1&Eps2=Eps2&Dist=Dist&Assoc=Assoc&Survey=Survey&Type=Type&startUserDefined=true&c1_val=&c2_val=&c3_val=&c4_val=&sort_attr=jname&sort_order=asc&condition=&pulsar_names=&ephemeris=short&coords_unit=raj%2Fdecj&radius=&coords_1=&coords_2=&style=Short+with+errors&no_value=*&x_axis=&x_scale=linear&y_axis=&y_scale=linear&state=query&table_bottom.x=40&table_bottom.y=0 +# http://www.atnf.csiro.au/people/pulsar/psrcat/proc_form.php?version=1.59&Name=Name&JName=JName&RaJ=RaJ&DecJ=DecJ&PMRA=PMRA&PMDec=PMDec&PX=PX&PosEpoch=PosEpoch&GL=GL&GB=GB&F0=F0&F1=F1&F2=F2&F3=F3&PEpoch=PEpoch&DM=DM&DM1=DM1&S400=S400&S1400=S1400&Binary=Binary&T0=T0&PB=PB&A1=A1&OM=OM&Ecc=Ecc&Tasc=Tasc&Eps1=Eps1&Eps2=Eps2&Dist=Dist&Assoc=Assoc&Survey=Survey&Type=Type&startUserDefined=true&c1_val=&c2_val=&c3_val=&c4_val=&sort_attr=jname&sort_order=asc&condition=&pulsar_names=&ephemeris=short&coords_unit=raj%2Fdecj&radius=&coords_1=&coords_2=&style=Long+csv+with+errors&no_value=*&x_axis=&x_scale=linear&y_axis=&y_scale=linear&state=query&table_bottom.x=40&table_bottom.y=0 params = ["NAME", "PSRJ", "RAJ", "DECJ", "PMRA", "PMDEC", "PX", "POSEPOCH", - "Gl", "Gb", "P0", "P1", "F2", "F3", "PEPOCH", "DM", "DM1", + "Gl", "Gb", "F0", "F1", "F2", "F3", "PEPOCH", "DM", "DM1", "S400", "S1400", "BINARY", "T0", "PB", "A1", "OM", "ECC", "TASC", "EPS1", "EPS2", "DIST", "ASSOC", "SURVEY", "PSR"] params_with_errs = ["RAJ", "DECJ", "PMRA", "PMDEC", "PX", "P0", "P1", "F2", "F3", @@ -21,13 +23,12 @@ digits = '0123456789' class psr(object): - def __init__(self, line): - parts = line.split()[1:] - part_index = 0 - param_index = 0 - while param_index < len(params): - param = params[param_index] - #print param, parts[part_index] + def __init__(self, parts, indices): + # Do RAJ and DECJ first + posn = c.SkyCoord(parts[indices['RAJ']]+" "+parts[indices['DECJ']], + frame=c.ICRS, unit=(u.hourangle, u.deg)) + for param in params: + part_index = indices[param] if param=="NAME": if not parts[part_index]=='*': self.name = parts[part_index][1:] @@ -41,49 +42,22 @@ def __init__(self, line): elif param=="RAJ": if not parts[part_index]=='*': self.rajstr = parts[part_index] - hms = list(map(float, parts[part_index].split(':'))) - if len(hms)==3: - h, m, s = hms - elif len(hms)==2: - h, m = hms - s = 0.0 - elif len(hms)==1: - h = hms[0] - m = s = 0.0 - self.ra = psr_utils.hms_to_rad(h, m, s) + self.ra = posn.ra.to(u.rad).value self.raerr = float(parts[part_index+1]) * psr_utils.SECTORAD - part_index += 1 elif param=="DECJ": if not parts[part_index]=='*': self.decjstr = parts[part_index] - dms = list(map(float, parts[part_index].split(':'))) - if len(dms)==3: - d, m, s = dms - elif len(dms)==2: - d, m = dms - s = 0.0 - elif len(dms)==1: - d = dms[0] - m = s = 0.0 - # Fixed silly dec=-0.0 bug - if parts[part_index].split(":")[0]=="-00": - m = -m - s = -s - self.dec = psr_utils.dms_to_rad(d, m, s) + self.dec = posn.dec.to(u.rad).value self.decerr = float(parts[part_index+1]) * psr_utils.ARCSECTORAD - part_index += 1 elif param=="PMRA": if not parts[part_index]=='*': self.pmra, self.pmraerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PMDEC": if not parts[part_index]=='*': self.pmdec, self.pmdecerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PX": if not parts[part_index]=='*': self.px, self.pxerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="POSEPOCH": if not parts[part_index]=='*': self.posepoch = float(parts[part_index]) @@ -93,31 +67,27 @@ def __init__(self, line): elif param=="Gb": if not parts[part_index]=='*': self.b = float(parts[part_index]) - elif param=="P0": + elif param=="F0": if not parts[part_index]=='*': - self.p, self.perr = float(parts[part_index]), float(parts[part_index+1]) - self.f, self.ferr = psr_utils.pferrs(self.p, self.perr) + self.f, self.ferr = float(parts[part_index]), float(parts[part_index+1]) + self.p, self.perr = psr_utils.pferrs(self.f, self.ferr) else: self.f = self.ferr = self.p = self.perr = 0.0 self.fd = self.fdd = self.fddd = 0.0 self.pd = self.pdd = self.pddd = 0.0 self.fderr = self.fdderr = self.fddderr = 0.0 self.pderr = self.pdderr = self.pddderr = 0.0 - part_index += 1 - elif param=="P1": + elif param=="F1": if not parts[part_index]=='*': - self.pd, self.pderr = float(parts[part_index]), float(parts[part_index+1]) - self.f, self.ferr, self.fd, self.fderr = psr_utils.pferrs(self.p, self.perr, self.pd, self.pderr) - part_index += 1 + self.fd, self.fderr = float(parts[part_index]), float(parts[part_index+1]) + self.p, self.perr, self.pd, self.pderr = psr_utils.pferrs(self.f, self.ferr, self.fd, self.fderr) elif param=="F2": if not parts[part_index]=='*': self.fdd, self.fdderr = float(parts[part_index]), float(parts[part_index+1]) self.p, self.pd, self.pdd = presto.p_to_f(self.f, self.fd, self.fdd) - part_index += 1 elif param=="F3": if not parts[part_index]=='*': self.fddd, self.fddderr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PEPOCH": if parts[part_index]=='*': self.pepoch = 51000.0 # Just to pick a reasonable value @@ -128,23 +98,19 @@ def __init__(self, line): self.dm, self.dmerr = float(parts[part_index]), float(parts[part_index+1]) else: self.dm = self.dmerr = 0.0 - part_index += 1 elif param=="DM1": if not parts[part_index]=='*': self.ddm, self.ddmerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="S400": if not parts[part_index]=='*': self.s400, self.s400err = float(parts[part_index]), float(parts[part_index+1]) else: self.s400 = None - part_index += 1 elif param=="S1400": if not parts[part_index]=='*': self.s1400, self.s1400err = float(parts[part_index]), float(parts[part_index+1]) else: self.s1400 = None - part_index += 1 elif param=="BINARY": if not parts[part_index]=='*': self.binary_model = parts[part_index] @@ -156,31 +122,24 @@ def __init__(self, line): elif param=="T0": if self.binary and not parts[part_index]=='*': self.To, self.Toerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="PB": if self.binary and not parts[part_index]=='*': self.pb, self.pberr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="A1": if self.binary and not parts[part_index]=='*': self.x, self.xerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="OM": if self.binary and not parts[part_index]=='*': self.w, self.werr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="ECC": if self.binary and not parts[part_index]=='*': self.e, self.eerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="TASC": if self.binary and self.binary_model=="ELL1" and not parts[part_index]=='*': self.To, self.Toerr = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="EPS1": if self.binary and self.binary_model=="ELL1" and not parts[part_index]=='*': self.eps1, self.eps1err = float(parts[part_index]), float(parts[part_index+1]) - part_index += 1 elif param=="EPS2": if self.binary and self.binary_model=="ELL1" and not parts[part_index]=='*': self.eps2, self.eps2err = float(parts[part_index]), float(parts[part_index+1]) @@ -190,7 +149,6 @@ def __init__(self, line): self.w = psr_utils.RADTODEG*math.atan2(self.eps1, self.eps2) if (self.w < 0.0): self.w += 360.0 self.werr = 1.0 # This needs fixing... - part_index += 1 elif param=="DIST": if not parts[part_index]=='*': self.dist = float(parts[part_index]) @@ -211,8 +169,6 @@ def __init__(self, line): self.type = parts[part_index] else: self.type = None - part_index += 1 - param_index += 1 self.alias = "" def __str__(self): out = '' @@ -279,9 +235,12 @@ def __str__(self): (self.To, self.Toerr) return out def pack_structs(self): - out = struct.pack("13s9s10s12d", \ - self.jname, self.name, self.alias.lower(), - self.ra, self.raerr, self.dec, self.decerr, + out = struct.Struct("13s9s10s12d") + packed = out.pack(self.jname.encode('utf-8'), + self.name.encode('utf-8'), + self.alias.lower().encode('utf-8'), + self.ra, self.raerr, + self.dec, self.decerr, self.p, self.perr, self.pd, self.pderr, self.dm, self.dmerr, self.pepoch, self.binary) if self.binary: @@ -295,28 +254,29 @@ def pack_structs(self): if self.werr is None: self.werr = 0.0 if self.To is None: self.To = 0.0 if self.Toerr is None: self.Toerr = 0.0 - out = out + struct.pack("10d", - self.pb, self.pberr, self.x, self.xerr, - self.e, self.eerr, self.w, self.werr, - self.To, self.Toerr) - return out + packed += struct.pack("10d", + self.pb, self.pberr, self.x, self.xerr, + self.e, self.eerr, self.w, self.werr, + self.To, self.Toerr) + return packed pulsars = {} num_binaries = 0 # Read the file that was taken from the ATNF database presto_path = os.getenv("PRESTO") -infile = open(os.path.join(presto_path, "lib", "psr_catalog.txt")) -for line in infile: - line, sep, comment = line.partition('#') - line = line.strip() - if not line: - continue - if line[0] in digits: - currentpulsar = psr(line) +with open(os.path.join(presto_path, "lib", "psr_catalog.txt")) as csvfile: + reader = csv.reader(csvfile, delimiter=';') + first = next(reader) + indices = {} + for ii in range(len(first)): + if first[ii]!='' and first!="#": + indices[first[ii]] = ii + units = next(reader) + for row in reader: + currentpulsar = psr(row, indices) pulsars[currentpulsar.jname] = currentpulsar if currentpulsar.binary: num_binaries += 1 -infile.close() # Now add the aliases to the pulsars infile = open(os.path.join(presto_path, "lib", "aliases.txt")) @@ -383,7 +343,7 @@ def pack_structs(self): if __name__ == '__main__' : presto_path = os.getenv("PRESTO") outfilename = os.path.join(presto_path, "lib", "pulsars.cat") - outfile = open(outfilename, "w") + outfile = open(outfilename, "wb") print("Writing %d pulsars (%d binaries) to %s" % \ (len(psrs), num_binaries, outfilename)) for ii, psr in enumerate(psrs): From 0180640fecdfd1b965247a0abfc8709b8dac4a52 Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Thu, 17 Jan 2019 12:36:22 -0500 Subject: [PATCH 090/146] Fixed python2 --> 3 issues with float vs integer division and str vs byte types --- bin/pyplotres.py | 4 ++-- lib/python/residuals.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 238f24530..db4b1db2f 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -202,7 +202,7 @@ def get_xdata(self, key): """Return label describing xaxis and the corresponding data given keyword 'key'. """ - if not isinstance(key, bytes): + if not (isinstance(key, bytes) or isinstance(key, str)): raise ValueError("key must be of type string.") xopt = key.lower() if xopt == 'numtoa': @@ -228,7 +228,7 @@ def get_ydata(self, key, postfit=True): 'postfit' is a boolean argument that determines if postfit, or prefit data is to be returned. """ - if not isinstance(key, bytes): + if not (isinstance(key, bytes) or isinstance(key, str)): raise ValueError("key must be of type string.") yopt = key.lower() if postfit: diff --git a/lib/python/residuals.py b/lib/python/residuals.py index f5a9cd2a4..01e9c4560 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -61,7 +61,7 @@ def read_residuals(filename="resid2.tmp"): not (reclen==struct.calcsize(rectype))): print("Warning: possibly reading residuals incorrectly... don't understand record size") infile.seek(0, 0) # position at file start - r.numTOAs = filelen / reclen + r.numTOAs = int(filelen / reclen) r.bary_TOA = Num.zeros(r.numTOAs, 'd') r.postfit_phs = Num.zeros(r.numTOAs, 'd') r.postfit_sec = Num.zeros(r.numTOAs, 'd') From 154710b6401c5fc81c0941536ef588275e38b71d Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Fri, 18 Jan 2019 16:47:50 -0500 Subject: [PATCH 091/146] python2 to 3 compatbility for integer division and testing for string types --- bin/pyplotres.py | 16 ++++++++++++++-- lib/python/residuals.py | 2 +- 2 files changed, 15 insertions(+), 3 deletions(-) diff --git a/bin/pyplotres.py b/bin/pyplotres.py index db4b1db2f..fb9429098 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -202,7 +202,13 @@ def get_xdata(self, key): """Return label describing xaxis and the corresponding data given keyword 'key'. """ - if not (isinstance(key, bytes) or isinstance(key, str)): + # Python2/3 compatible way of checking for string types + # Taken from https://stackoverflow.com/questions/11301138/how-to-check-if-variable-is-string-with-python-2-and-3-compatibility + try: + basestring + except NameError: + basestring = str + if not isinstance(key, basestring): raise ValueError("key must be of type string.") xopt = key.lower() if xopt == 'numtoa': @@ -228,7 +234,13 @@ def get_ydata(self, key, postfit=True): 'postfit' is a boolean argument that determines if postfit, or prefit data is to be returned. """ - if not (isinstance(key, bytes) or isinstance(key, str)): + # Python2/3 compatible way of checking for string types + # Taken from https://stackoverflow.com/questions/11301138/how-to-check-if-variable-is-string-with-python-2-and-3-compatibility + try: + basestring + except NameError: + basestring = str + if not isinstance(key, basestring): raise ValueError("key must be of type string.") yopt = key.lower() if postfit: diff --git a/lib/python/residuals.py b/lib/python/residuals.py index 01e9c4560..69ae4c720 100644 --- a/lib/python/residuals.py +++ b/lib/python/residuals.py @@ -61,7 +61,7 @@ def read_residuals(filename="resid2.tmp"): not (reclen==struct.calcsize(rectype))): print("Warning: possibly reading residuals incorrectly... don't understand record size") infile.seek(0, 0) # position at file start - r.numTOAs = int(filelen / reclen) + r.numTOAs = filelen // reclen r.bary_TOA = Num.zeros(r.numTOAs, 'd') r.postfit_phs = Num.zeros(r.numTOAs, 'd') r.postfit_sec = Num.zeros(r.numTOAs, 'd') From baeca2669855c78d19c008f8790b68187a5e83ce Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 12:11:13 -0400 Subject: [PATCH 092/146] Explicitly cast 'bins' as integer in 'rotate' function so that it can be used as a slice index in arrays --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 3de44bf5b..8880b5582 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = bins % len(arr) + bins = int(bins % len(arr)) if bins==0: return arr else: From 3174387c3dd449db550669dce2db3f1197462715 Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 14:03:50 -0400 Subject: [PATCH 093/146] Proper implementation of casting bins to integer in rotate function --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 8880b5582..6106b4ecd 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = int(bins % len(arr)) + bins = int(bins) % len(arr) if bins==0: return arr else: From 4d5853357c3ec1ef40da428df2535cb0d5d9e4ff Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 12:11:13 -0400 Subject: [PATCH 094/146] Explicitly cast 'bins' as integer in 'rotate' function so that it can be used as a slice index in arrays --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 6106b4ecd..8880b5582 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = int(bins) % len(arr) + bins = int(bins % len(arr)) if bins==0: return arr else: From 4ecbd25b7d7b47539a198132d7dc277d7e35261e Mon Sep 17 00:00:00 2001 From: Ryan Lynch Date: Wed, 22 May 2019 14:03:50 -0400 Subject: [PATCH 095/146] Proper implementation of casting bins to integer in rotate function --- lib/python/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/python/psr_utils.py b/lib/python/psr_utils.py index 8880b5582..6106b4ecd 100644 --- a/lib/python/psr_utils.py +++ b/lib/python/psr_utils.py @@ -1031,7 +1031,7 @@ def rotate(arr, bins): rotate(arr, bins): Return an array rotated by 'bins' places to the left """ - bins = int(bins % len(arr)) + bins = int(bins) % len(arr) if bins==0: return arr else: From 0d8216e7f259e9274153a6ce689d8890ce08b482 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 11:50:55 +0200 Subject: [PATCH 096/146] improve setup.py script * move to root so we have access to all files like include files * less need for special env variables * move tempo python library to python folder * install all scripts in /bin/* --- .gitignore | 4 + MANIFEST.in | 3 + pyproject.toml | 3 + {lib/python => python/presto}/Pgplot.py | 0 python/presto/__init__.py | 0 {lib/python => python/presto}/barycenter.py | 0 {lib/python => python/presto}/bestprof.py | 0 {lib/python => python/presto}/binary_psr.py | 0 .../presto}/cosine_rand.pickle | Bin {lib/python => python/presto}/cosine_rand.py | 0 {lib/python => python/presto}/events.py | 0 {lib/python => python/presto}/filterbank.py | 0 {lib/python => python/presto}/infodata.py | 0 {lib/python => python/presto}/injectpsr.py | 0 {lib/python => python/presto}/kuiper.py | 0 {lib/python => python/presto}/mpfit.py | 0 {lib/python => python/presto}/parfile.py | 0 {lib/python => python/presto}/polycos.py | 0 {lib/python => python/presto}/prepfold.py | 0 .../python => python/presto}/psr_constants.py | 0 {lib/python => python/presto}/psr_utils.py | 0 {lib/python => python/presto}/psrfits.py | 0 {lib/python => python/presto}/pypsrcat.py | 0 {lib/python => python/presto}/residuals.py | 0 {lib/python => python/presto}/rfifind.py | 0 {lib/python => python/presto}/sifting.py | 0 {lib/python => python/presto}/sigproc.py | 0 {lib/python => python/presto}/simple_roots.py | 0 {lib/python => python/presto}/sinc_interp.py | 0 .../presto}/singlepulse/__init__.py | 0 .../presto}/singlepulse/bary_and_topo.py | 0 .../presto}/singlepulse/make_spd.py | 0 .../presto}/singlepulse/plot_spd.py | 0 .../presto}/singlepulse/read_spd.py | 0 .../presto}/singlepulse/rrattrap.py | 0 .../presto}/singlepulse/rrattrap_config.py | 0 .../presto}/singlepulse/sp_pgplot.py | 0 .../presto}/singlepulse/spcand.py | 0 .../presto}/singlepulse/spio.py | 0 {lib/python => python/presto}/spectra.py | 0 {lib/python => python/presto}/waterfaller.py | 0 python/setup.py | 74 ---------------- setup.py | 83 ++++++++++++++++++ 43 files changed, 93 insertions(+), 74 deletions(-) create mode 100644 MANIFEST.in create mode 100644 pyproject.toml rename {lib/python => python/presto}/Pgplot.py (100%) create mode 100644 python/presto/__init__.py rename {lib/python => python/presto}/barycenter.py (100%) rename {lib/python => python/presto}/bestprof.py (100%) rename {lib/python => python/presto}/binary_psr.py (100%) rename {lib/python => python/presto}/cosine_rand.pickle (100%) rename {lib/python => python/presto}/cosine_rand.py (100%) rename {lib/python => python/presto}/events.py (100%) rename {lib/python => python/presto}/filterbank.py (100%) rename {lib/python => python/presto}/infodata.py (100%) rename {lib/python => python/presto}/injectpsr.py (100%) rename {lib/python => python/presto}/kuiper.py (100%) rename {lib/python => python/presto}/mpfit.py (100%) rename {lib/python => python/presto}/parfile.py (100%) rename {lib/python => python/presto}/polycos.py (100%) rename {lib/python => python/presto}/prepfold.py (100%) rename {lib/python => python/presto}/psr_constants.py (100%) rename {lib/python => python/presto}/psr_utils.py (100%) rename {lib/python => python/presto}/psrfits.py (100%) rename {lib/python => python/presto}/pypsrcat.py (100%) rename {lib/python => python/presto}/residuals.py (100%) rename {lib/python => python/presto}/rfifind.py (100%) rename {lib/python => python/presto}/sifting.py (100%) rename {lib/python => python/presto}/sigproc.py (100%) rename {lib/python => python/presto}/simple_roots.py (100%) rename {lib/python => python/presto}/sinc_interp.py (100%) rename {lib/python => python/presto}/singlepulse/__init__.py (100%) rename {lib/python => python/presto}/singlepulse/bary_and_topo.py (100%) rename {lib/python => python/presto}/singlepulse/make_spd.py (100%) rename {lib/python => python/presto}/singlepulse/plot_spd.py (100%) rename {lib/python => python/presto}/singlepulse/read_spd.py (100%) rename {lib/python => python/presto}/singlepulse/rrattrap.py (100%) rename {lib/python => python/presto}/singlepulse/rrattrap_config.py (100%) rename {lib/python => python/presto}/singlepulse/sp_pgplot.py (100%) rename {lib/python => python/presto}/singlepulse/spcand.py (100%) rename {lib/python => python/presto}/singlepulse/spio.py (100%) rename {lib/python => python/presto}/spectra.py (100%) rename {lib/python => python/presto}/waterfaller.py (100%) delete mode 100644 python/setup.py create mode 100644 setup.py diff --git a/.gitignore b/.gitignore index 9e3d08192..1893acb8e 100644 --- a/.gitignore +++ b/.gitignore @@ -58,3 +58,7 @@ python/build/ src/slalib/sla_test src/makewisdom src/fftw_wisdom.txt +MANIFEST +.venv*/ +dist/ + diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 000000000..8083cda10 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,3 @@ +recursive-include bin * +include pyproject.toml +recursive-include include *.h diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 000000000..b78261f96 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,3 @@ +# pep 518 way of specifying setup requirements +[build-system] +requires = ["setuptools", "wheel", "numpy"] diff --git a/lib/python/Pgplot.py b/python/presto/Pgplot.py similarity index 100% rename from lib/python/Pgplot.py rename to python/presto/Pgplot.py diff --git a/python/presto/__init__.py b/python/presto/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/lib/python/barycenter.py b/python/presto/barycenter.py similarity index 100% rename from lib/python/barycenter.py rename to python/presto/barycenter.py diff --git a/lib/python/bestprof.py b/python/presto/bestprof.py similarity index 100% rename from lib/python/bestprof.py rename to python/presto/bestprof.py diff --git a/lib/python/binary_psr.py b/python/presto/binary_psr.py similarity index 100% rename from lib/python/binary_psr.py rename to python/presto/binary_psr.py diff --git a/lib/python/cosine_rand.pickle b/python/presto/cosine_rand.pickle similarity index 100% rename from lib/python/cosine_rand.pickle rename to python/presto/cosine_rand.pickle diff --git a/lib/python/cosine_rand.py b/python/presto/cosine_rand.py similarity index 100% rename from lib/python/cosine_rand.py rename to python/presto/cosine_rand.py diff --git a/lib/python/events.py b/python/presto/events.py similarity index 100% rename from lib/python/events.py rename to python/presto/events.py diff --git a/lib/python/filterbank.py b/python/presto/filterbank.py similarity index 100% rename from lib/python/filterbank.py rename to python/presto/filterbank.py diff --git a/lib/python/infodata.py b/python/presto/infodata.py similarity index 100% rename from lib/python/infodata.py rename to python/presto/infodata.py diff --git a/lib/python/injectpsr.py b/python/presto/injectpsr.py similarity index 100% rename from lib/python/injectpsr.py rename to python/presto/injectpsr.py diff --git a/lib/python/kuiper.py b/python/presto/kuiper.py similarity index 100% rename from lib/python/kuiper.py rename to python/presto/kuiper.py diff --git a/lib/python/mpfit.py b/python/presto/mpfit.py similarity index 100% rename from lib/python/mpfit.py rename to python/presto/mpfit.py diff --git a/lib/python/parfile.py b/python/presto/parfile.py similarity index 100% rename from lib/python/parfile.py rename to python/presto/parfile.py diff --git a/lib/python/polycos.py b/python/presto/polycos.py similarity index 100% rename from lib/python/polycos.py rename to python/presto/polycos.py diff --git a/lib/python/prepfold.py b/python/presto/prepfold.py similarity index 100% rename from lib/python/prepfold.py rename to python/presto/prepfold.py diff --git a/lib/python/psr_constants.py b/python/presto/psr_constants.py similarity index 100% rename from lib/python/psr_constants.py rename to python/presto/psr_constants.py diff --git a/lib/python/psr_utils.py b/python/presto/psr_utils.py similarity index 100% rename from lib/python/psr_utils.py rename to python/presto/psr_utils.py diff --git a/lib/python/psrfits.py b/python/presto/psrfits.py similarity index 100% rename from lib/python/psrfits.py rename to python/presto/psrfits.py diff --git a/lib/python/pypsrcat.py b/python/presto/pypsrcat.py similarity index 100% rename from lib/python/pypsrcat.py rename to python/presto/pypsrcat.py diff --git a/lib/python/residuals.py b/python/presto/residuals.py similarity index 100% rename from lib/python/residuals.py rename to python/presto/residuals.py diff --git a/lib/python/rfifind.py b/python/presto/rfifind.py similarity index 100% rename from lib/python/rfifind.py rename to python/presto/rfifind.py diff --git a/lib/python/sifting.py b/python/presto/sifting.py similarity index 100% rename from lib/python/sifting.py rename to python/presto/sifting.py diff --git a/lib/python/sigproc.py b/python/presto/sigproc.py similarity index 100% rename from lib/python/sigproc.py rename to python/presto/sigproc.py diff --git a/lib/python/simple_roots.py b/python/presto/simple_roots.py similarity index 100% rename from lib/python/simple_roots.py rename to python/presto/simple_roots.py diff --git a/lib/python/sinc_interp.py b/python/presto/sinc_interp.py similarity index 100% rename from lib/python/sinc_interp.py rename to python/presto/sinc_interp.py diff --git a/lib/python/singlepulse/__init__.py b/python/presto/singlepulse/__init__.py similarity index 100% rename from lib/python/singlepulse/__init__.py rename to python/presto/singlepulse/__init__.py diff --git a/lib/python/singlepulse/bary_and_topo.py b/python/presto/singlepulse/bary_and_topo.py similarity index 100% rename from lib/python/singlepulse/bary_and_topo.py rename to python/presto/singlepulse/bary_and_topo.py diff --git a/lib/python/singlepulse/make_spd.py b/python/presto/singlepulse/make_spd.py similarity index 100% rename from lib/python/singlepulse/make_spd.py rename to python/presto/singlepulse/make_spd.py diff --git a/lib/python/singlepulse/plot_spd.py b/python/presto/singlepulse/plot_spd.py similarity index 100% rename from lib/python/singlepulse/plot_spd.py rename to python/presto/singlepulse/plot_spd.py diff --git a/lib/python/singlepulse/read_spd.py b/python/presto/singlepulse/read_spd.py similarity index 100% rename from lib/python/singlepulse/read_spd.py rename to python/presto/singlepulse/read_spd.py diff --git a/lib/python/singlepulse/rrattrap.py b/python/presto/singlepulse/rrattrap.py similarity index 100% rename from lib/python/singlepulse/rrattrap.py rename to python/presto/singlepulse/rrattrap.py diff --git a/lib/python/singlepulse/rrattrap_config.py b/python/presto/singlepulse/rrattrap_config.py similarity index 100% rename from lib/python/singlepulse/rrattrap_config.py rename to python/presto/singlepulse/rrattrap_config.py diff --git a/lib/python/singlepulse/sp_pgplot.py b/python/presto/singlepulse/sp_pgplot.py similarity index 100% rename from lib/python/singlepulse/sp_pgplot.py rename to python/presto/singlepulse/sp_pgplot.py diff --git a/lib/python/singlepulse/spcand.py b/python/presto/singlepulse/spcand.py similarity index 100% rename from lib/python/singlepulse/spcand.py rename to python/presto/singlepulse/spcand.py diff --git a/lib/python/singlepulse/spio.py b/python/presto/singlepulse/spio.py similarity index 100% rename from lib/python/singlepulse/spio.py rename to python/presto/singlepulse/spio.py diff --git a/lib/python/spectra.py b/python/presto/spectra.py similarity index 100% rename from lib/python/spectra.py rename to python/presto/spectra.py diff --git a/lib/python/waterfaller.py b/python/presto/waterfaller.py similarity index 100% rename from lib/python/waterfaller.py rename to python/presto/waterfaller.py diff --git a/python/setup.py b/python/setup.py deleted file mode 100644 index 3bdf215ac..000000000 --- a/python/setup.py +++ /dev/null @@ -1,74 +0,0 @@ -from __future__ import print_function -from distutils.core import setup, Extension -from distutils.sysconfig import get_python_inc, get_python_lib -import os -import sys -import numpy - -################################################################### -# build the extension -# - -define_macros = [] -undef_macros = [] -extra_compile_args = ["-DUSEFFTW"] -include_dirs = [] - -# Note: you might need to add "gfortran" to the following list if -# you see errors relating to missing "g" functions.... -ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] -ppgplot_library_dirs = ["/usr/X11R6/lib"] - -presto_libraries = ["presto", "fftw3f", "m"] -presto_library_dirs = [] - -# Use NumPy instead of Numeric or numarray -make_extension = Extension -#include_dirs.append(numpy.get_numpy_include()) -include_dirs.append(numpy.get_include()) -ppgplot_include_dirs = include_dirs -presto_include_dirs = include_dirs -undef_macros.append('USE_NUMARRAY') - -if os.name == "posix": - if "PGPLOT_DIR" in os.environ: - ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) - ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) - else: - print("PGPLOT_DIR env var not defined!", file=sys.stderr) - if "PRESTO" in os.environ: - presto_library_dirs.append(os.path.join(os.environ["PRESTO"], "lib")) - presto_include_dirs.append(os.path.join(os.environ["PRESTO"], "include")) - else: - print("PRESTO env var not defined!", file=sys.stderr) -else: - raise Exception("os not supported") - -ext_ppgplot = make_extension('_ppgplot', - [os.path.join('ppgplot_src','_ppgplot.c')], - include_dirs=ppgplot_include_dirs, - libraries=ppgplot_libraries, - library_dirs=ppgplot_library_dirs, - define_macros=define_macros, - extra_compile_args=extra_compile_args) - -ext_presto = make_extension('_presto', - [os.path.join('presto_src', 'presto_wrap.c')], - include_dirs=presto_include_dirs, - libraries=presto_libraries, - library_dirs=presto_library_dirs, - define_macros=define_macros, - extra_compile_args=extra_compile_args) - -################################################################### -# the package -# - -setup(name="PRESTO", - version="0.99", - description="Python interfaces to PGPLOT and PRESTO", - author="Scott Ransom (ppgplot from Nick Patavlis)", - author_email="sransom@nrao.edu", - packages=['ppgplot', 'presto'], - package_dir={'ppgplot':'ppgplot_src','presto':'presto_src'}, - ext_modules=[ext_ppgplot,ext_presto]) diff --git a/setup.py b/setup.py new file mode 100644 index 000000000..62beaaffe --- /dev/null +++ b/setup.py @@ -0,0 +1,83 @@ +from __future__ import print_function +import os +import sys +import numpy +from numpy.distutils.core import Extension, setup + + +version = "2.2" + +define_macros = [] +undef_macros = [] +extra_compile_args = ["-DUSEFFTW"] +include_dirs = [numpy.get_include()] + +# Note: you might need to add "gfortran" to the following list if +# you see errors relating to missing "g" functions.... +ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] +ppgplot_library_dirs = ["/usr/X11R6/lib"] + +presto_libraries = ["presto", "fftw3f", "m"] +presto_library_dirs = [] + +ppgplot_include_dirs = include_dirs +presto_include_dirs = include_dirs +undef_macros.append('USE_NUMARRAY') + +if os.name != "posix": + raise Exception("os not supported") + +if "PGPLOT_DIR" in os.environ: + ppgplot_library_dirs.append(os.environ["PGPLOT_DIR"]) + ppgplot_include_dirs.append(os.environ["PGPLOT_DIR"]) +else: + print("PGPLOT_DIR env var not defined!", file=sys.stderr) +if "PRESTO" in os.environ: + presto_library_dirs.append(os.path.join(os.environ["PRESTO"], "lib")) + presto_include_dirs.append(os.path.join(os.environ["PRESTO"], "include")) +else: + print("PRESTO env var not defined!", file=sys.stderr) + presto_include_dirs.append(os.path.join(os.path.dirname(__file__), + 'include')) + +ext_ppgplot = Extension('_ppgplot', + ['python/ppgplot_src/_ppgplot.c'], + include_dirs=ppgplot_include_dirs, + libraries=ppgplot_libraries, + library_dirs=ppgplot_library_dirs, + define_macros=define_macros, + extra_compile_args=extra_compile_args) + +ext_presto = Extension('_presto', + ['python/presto_src/presto_wrap.c'], + include_dirs=presto_include_dirs, + libraries=presto_libraries, + library_dirs=presto_library_dirs, + define_macros=define_macros, + extra_compile_args=extra_compile_args) + +# not working yet +ext_fftfit = Extension('fftfit', sources=['python/fftfit_src/brent.f', + 'python/fftfit_src/bcprof.f', + 'python/fftfit_src/bfccf.f', + 'python/fftfit_src/bffft.f', + 'python/fftfit_src/bfftfit.f', + 'python/fftfit_src/bfftfit.pyf']) + + +scripts = ['bin/' + i for i in os.listdir('bin')] + + +setup(name="presto", + version=version, + #install_requires=['numpy'], + scripts=scripts, + description="Python interfaces to PGPLOT and PRESTO", + author="Scott Ransom (ppgplot from Nick Patavlis)", + author_email="sransom@nrao.edu", + url="https://github.com/scottransom/presto", + packages=['presto', 'presto.ppgplot', 'presto.presto'], + package_dir={'presto.ppgplot': 'python/ppgplot_src', + 'presto.presto': 'python/presto_src', + 'presto': 'python/presto'}, + ext_modules=[ext_ppgplot,ext_presto]) #, ext_fftfit]) From 6578e13e656df77e4c39fd39de17473c25017a26 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 13:20:23 +0200 Subject: [PATCH 097/146] cleanup internal importing structure --- bin/DDplan.py | 3 +- bin/GBNCC_search.py | 11 +- bin/GBT350_drift_prep.py | 6 +- bin/GBT350_drift_search.py | 11 +- bin/GUPPI_drift_prep.py | 13 +- bin/PALFA_presto_search.py | 8 +- bin/chooseN.py | 6 +- bin/dat2tim.py | 14 +- bin/detrend_dat.py | 2 +- bin/downsample_filterbank.py | 4 +- bin/event_peak.py | 8 +- bin/fb_truncate.py | 6 +- bin/filter_zerolags.py | 2 +- bin/fit_circular_orbit.py | 6 +- bin/fitorb.py | 9 +- bin/get_TOAs.py | 11 +- bin/gotocand.py | 24 +- bin/guppidrift2fil.py | 4 +- bin/injectpsr.py | 7 +- bin/make_spd.py | 19 +- bin/makezaplist.py | 8 +- bin/orbellipsefit.py | 7 +- bin/pfd_for_timing.py | 4 +- bin/plot_spd.py | 7 +- bin/powerstats.py | 5 +- bin/psrfits2fil.py | 6 +- bin/psrfits_quick_bandpass.py | 3 +- bin/pulsestack.py | 12 +- bin/pygaussfit.py | 8 +- bin/pyplotres.py | 12 +- bin/quick_prune_cands.py | 4 +- bin/quickffdots.py | 4 +- bin/rfifind_stats.py | 3 +- bin/rrattrap.py | 13 +- bin/single_pulse_search.py | 15 +- bin/sortwappfiles.py | 22 +- bin/subband_smearing.py | 2 +- bin/sum_profiles.py | 17 +- bin/tim2dat.py | 4 +- bin/waterfaller.py | 11 +- bin/weights_to_ignorechan.py | 6 +- python/presto/Pgplot.py | 36 +- python/presto/binary_psr.py | 4 +- python/presto/cosine_rand.py | 11 +- python/presto/events.py | 19 +- python/presto/filterbank.py | 5 +- python/presto/injectpsr.py | 5 +- python/presto/kuiper.py | 2 +- python/presto/mpfit.py | 1 - python/presto/parfile.py | 4 +- python/presto/polycos.py | 3 +- python/presto/prepfold.py | 8 +- python/presto/psr_utils.py | 563 ++++++++++++++++++++------------ python/presto/pypsrcat.py | 8 +- python/presto/residuals.py | 6 +- python/presto/rfifind.py | 14 +- python/presto/sifting.py | 12 +- python/presto/sigproc.py | 2 +- python/presto/sinc_interp.py | 7 +- python/presto/spectra.py | 2 +- python/presto_src/__init__.py | 516 +++++++++++++++-------------- python/short_analysis_simple.py | 8 +- setup.py | 10 +- 63 files changed, 892 insertions(+), 701 deletions(-) diff --git a/bin/DDplan.py b/bin/DDplan.py index 7ab3b9a2d..ce7fea12e 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,9 +1,8 @@ #!/usr/bin/env python from __future__ import print_function from builtins import zip -from builtins import object from numpy import * -from Pgplot import * +from presto.Pgplot import * class observation(object): def __init__(self, dt, f_ctr, BW, numchan, cDM): diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index 584c16468..c2c3a7d13 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -4,9 +4,10 @@ from builtins import str from builtins import range from builtins import object -import glob, os, os.path, shutil, socket, struct, tarfile, stat -import numpy, sys, presto, time, sigproc, sifting -import psr_utils as pu +import glob, os, os.path, shutil, socket, tarfile, stat +import numpy, sys, time +from presto import presto +from presto import sifting import astropy.io.fits as pyfits institution = "NRAO" @@ -283,7 +284,7 @@ def main(fits_filenm, workdir, ddplans): # Make sure the output directory (and parent directories) exist try: os.makedirs(job.outputdir) - os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | S_IROTH | S_IXOTH) + os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | stat.S_IROTH | stat.S_IXOTH) except: pass # Make sure the tmp directory (in a tmpfs mount) exists @@ -490,7 +491,7 @@ def main(fits_filenm, workdir, ddplans): if "singlepulse" in psfile: os.system("pstoimg -density 200 -antialias -crop a "+psfile) try: - os.remove(epsfile) + os.remove(psfile) except: pass else: os.system("pstoimg -density 200 -antialias -flip cw "+psfile) diff --git a/bin/GBT350_drift_prep.py b/bin/GBT350_drift_prep.py index cf15e14c8..38b90e2cf 100755 --- a/bin/GBT350_drift_prep.py +++ b/bin/GBT350_drift_prep.py @@ -1,8 +1,10 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import sys, os, random, sigproc -import psr_utils as pu +import sys, os, random +from presto import sigproc +from presto import psr_utils as pu + def spigot_samples_per_file(spigot_filenm): """ diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index 77888230c..f9f2b883e 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -4,9 +4,12 @@ from builtins import str from builtins import range from builtins import object -import glob, os, os.path, shutil, socket, struct, tarfile, stat -import numpy, sys, presto, time, sigproc, sifting -import psr_utils as pu +import glob, os, os.path, shutil, socket, tarfile, stat +import numpy, sys, time +from presto import sigproc +from presto import sifting +from presto import presto +from presto import psr_utils as pu institution = "NRAOCV" base_tmp_dir = "/dev/shm/" @@ -243,7 +246,7 @@ def main(fil_filenm, workdir, ddplans): # Make sure the output directory (and parent directories) exist try: os.makedirs(job.outputdir) - os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | S_IROTH | S_IXOTH) + os.chmod(job.outputdir, stat.S_IRWXU | stat.S_IRWXG | stat.S_IROTH | stat.S_IXOTH) except: pass # Make sure the tmp directory (in a tmpfs mount) exists diff --git a/bin/GUPPI_drift_prep.py b/bin/GUPPI_drift_prep.py index 7a10d03d4..1bf96d12d 100755 --- a/bin/GUPPI_drift_prep.py +++ b/bin/GUPPI_drift_prep.py @@ -1,22 +1,25 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import sys, os, random, sigproc -import psr_utils as pu -import pyfits +import sys, os, random +from astropy.io import fits +from presto import sigproc +from presto import psr_utils as pu import math as math + + def guppi_subint_per_file(guppi_filenm): """ guppi_samples_per_file(spigot_filenm,): Return the number of subints present in the GUPPI FITs file. """ - fitsfile = pyfits.open(guppi_filenm,memmap=True) + fitsfile = fits.open(guppi_filenm,memmap=True) nsubint = fitsfile['SUBINT'].header['NAXIS2'] fitsfile.close() return nsubint def guppi_time_per_subint(guppi_filenm): - fitsfile = pyfits.open(guppi_filenm,memmap=True) + fitsfile = fits.open(guppi_filenm,memmap=True) subint_hdr = fitsfile['SUBINT'].header time_subint = subint_hdr['TBIN']*subint_hdr['NSBLK'] fitsfile.close() diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index fb75ba796..84d3e52a0 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -4,8 +4,12 @@ from builtins import str from builtins import range from builtins import object -import glob, os, os.path, shutil, socket, struct, sys, time, tarfile -import numpy, psr_utils, presto, sifting, sigproc +import glob, os, os.path, socket, struct, sys, time, tarfile +import numpy +from presto import psr_utils +from presto import presto +from presto import sifting +from presto import sigproc # Calling convention: # diff --git a/bin/chooseN.py b/bin/chooseN.py index 8d4cfd842..b0c5f4211 100755 --- a/bin/chooseN.py +++ b/bin/chooseN.py @@ -1,15 +1,15 @@ #!/usr/bin/env python from __future__ import (print_function,division) -import psr_utils as pu +import presto.psr_utils as pu import sys -from infodata import infodata +from presto.infodata import infodata if len(sys.argv) != 2: print("chooseN ") print(" Prints a good value for fast FFTs to be used for -numout in prepdata/prepsubband") sys.exit(1) -if (sys.argv[1].endswith('.inf')): +if sys.argv[1].endswith('.inf'): inf = infodata(sys.argv[1]) n = inf.N else: diff --git a/bin/dat2tim.py b/bin/dat2tim.py index 07e845f3f..2488d6327 100755 --- a/bin/dat2tim.py +++ b/bin/dat2tim.py @@ -1,6 +1,7 @@ #!/usr/bin/env python from __future__ import print_function -import os, struct, presto, sys +import os, struct, sys +from presto import presto telescope_ids = {"Fake": 0, "Arecibo": 1, "Ooty": 2, "Nancay": 3, "Parkes": 4, "Jodrell": 5, "GBT": 6, "GMRT": 7, @@ -10,20 +11,24 @@ "BCPM1": 4, "OOTY": 5, "SCAMP": 6, "GBT Pulsar Spigot": 7, "SPIGOT": 7} + def prep_string(string): return struct.pack('i', len(string))+string + def prep_double(name, value): return prep_string(name)+struct.pack('d', float(value)) + def prep_int(name, value): return prep_string(name)+struct.pack('i', int(value)) + def infodata_to_sigproc_header(inf): hdr = prep_string("HEADER_START") hdr += prep_int("telescope_id", telescope_ids[inf.telescope.strip()]) - if (len(inf.instrument.split()) > 1): - if (inf.instrument.split()[0]=="Multibeam"): + if len(inf.instrument.split()) > 1: + if inf.instrument.split()[0]=="Multibeam": hdr += prep_int("machine_id", machine_ids["SCAMP"]) else: hdr += prep_int("machine_id", machine_ids[inf.instrument.strip()]) @@ -48,8 +53,9 @@ def infodata_to_sigproc_header(inf): hdr += prep_string("HEADER_END") return hdr + if __name__ == "__main__": - if len(sys.argv)==1: + if len(sys.argv) == 1: print("\nusage: dat2tim.py file.dat\n") sys.exit() if sys.argv[1].endswith(".dat"): diff --git a/bin/detrend_dat.py b/bin/detrend_dat.py index 3ad07e010..61111aff1 100755 --- a/bin/detrend_dat.py +++ b/bin/detrend_dat.py @@ -18,7 +18,7 @@ # zero-out the bad blocks data[good_stds.mask,:] *= 0.0 -print "Found %d bad blocks out of %d" % (good_stds.mask.sum(), nblocks) +print("Found %d bad blocks out of %d" % (good_stds.mask.sum(), nblocks)) # Now detrend the good blocks for ii in stds_inds: diff --git a/bin/downsample_filterbank.py b/bin/downsample_filterbank.py index d5b272816..335d59f30 100755 --- a/bin/downsample_filterbank.py +++ b/bin/downsample_filterbank.py @@ -1,8 +1,10 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import sys, sigproc +import sys import numpy as num +from presto import sigproc + if __name__ == "__main__": if len(sys.argv)==1: diff --git a/bin/event_peak.py b/bin/event_peak.py index 80007d4a5..c77d931d4 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,9 +1,11 @@ #!/usr/bin/env python from __future__ import print_function +import sys import numpy as num -import events as evts -import sys, kuiper -from Pgplot import * +import presto.events as evts +from presto import kuiper +from presto.Pgplot import * + def calc_phases(events, f, fd): return num.fmod(events*(f+(0.5*fd*events)), 1.0) diff --git a/bin/fb_truncate.py b/bin/fb_truncate.py index 28dda5fea..b91fb28c4 100755 --- a/bin/fb_truncate.py +++ b/bin/fb_truncate.py @@ -9,13 +9,9 @@ import sys import copy -import os.path -import warnings import optparse - import numpy as np - -import filterbank +from presto import filterbank BLOCKSIZE = 1e5 # Number of spectra to manipulate at once diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index 34cf77443..aafd5c018 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -20,7 +20,7 @@ numpts = len(zls) if (plot): - from Pgplot import * + from presto.Pgplot import * plotxy(zls) T = numpts*dt diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index 5c84d2657..78620ed08 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -1,9 +1,11 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range +import sys import numpy as num -import psr_utils as pu -import parfile, bestprof, sys +from presto import psr_utils as pu +from presto import parfile +from presto import bestprof import matplotlib.pyplot as plt from scipy.optimize import leastsq diff --git a/bin/fitorb.py b/bin/fitorb.py index 1eebe3e68..349185b2f 100755 --- a/bin/fitorb.py +++ b/bin/fitorb.py @@ -7,12 +7,13 @@ from builtins import range from numpy import * -from mpfit import mpfit -from psr_constants import SECPERDAY,TWOPI,DEGTORAD,SOL -import psr_utils,parfile,sys,glob +from presto.mpfit import mpfit +from presto.psr_constants import SECPERDAY,TWOPI,DEGTORAD,SOL +from presto import psr_utils +from presto import parfile from pylab import * import sys -cspeed = 299792458.0 # m/s +cspeed = 299792458.0 # m/s # begin function definitions diff --git a/bin/get_TOAs.py b/bin/get_TOAs.py index 76d3d5ff0..b6a4354b4 100755 --- a/bin/get_TOAs.py +++ b/bin/get_TOAs.py @@ -1,12 +1,13 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -import struct, getopt, sys, fftfit, psr_utils +import getopt, sys +from presto import fftfit +from presto import psr_utils import numpy as Num -from infodata import infodata -from prepfold import pfd -from polycos import polycos -from psr_constants import * +from presto.prepfold import pfd +from presto.polycos import polycos +from presto.psr_constants import * scopes = {'GBT':'1', 'Arecibo':'3', diff --git a/bin/gotocand.py b/bin/gotocand.py index 471fa205f..9809249a4 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -1,6 +1,6 @@ #!/usr/bin/env python import sys, os, glob, os.path, string, re -from presto import fourierprops, get_rzw_cand, read_inffile +from presto.presto import fourierprops, get_rzw_cand short_re = re.compile("_\d\d\dM_\d\d_ACCEL_") @@ -63,7 +63,7 @@ def find_local_datfile(basename, DM): line = line.join(line.split()[1:]) if line.endswith(".dat"): datfile = line - print "'%s'"%datfile + print("'%s'"%datfile) if datfile!='': return datfile @@ -94,7 +94,7 @@ def get_datfile_len(nodename, datfile): if __name__ == "__main__": if (len(sys.argv) < 2): - print "\nusage: gotocand.py [-local] candfile:candnum\n" + print("\nusage: gotocand.py [-local] candfile:candnum\n") sys.exit(0) local = 0 @@ -110,12 +110,12 @@ def get_datfile_len(nodename, datfile): dm = get_dm(candfile) if dm is None: - print "Error: Could not find a DM value in '%s'!"%candfile + print("Error: Could not find a DM value in '%s'!"%candfile) sys.exit(0) base = get_basename(candfile) if base is None: - print "Error: Could not find the base filename in '%s'!"%candfile + print("Error: Could not find the base filename in '%s'!"%candfile) sys.exit(0) # Is the candidate from a short-chunk search? @@ -127,12 +127,12 @@ def get_datfile_len(nodename, datfile): else: node = find_node(dm) if node is None: - print "Error: Could not find the node where the dat file should be!" + print("Error: Could not find the node where the dat file should be!") sys.exit(0) datfile = find_datfile(node, base, dm) if datfile is None: - print "Error: Could not find .dat file on the node!" + print("Error: Could not find .dat file on the node!") sys.exit(0) fullcandfile = os.path.join(outdir, candfile)+".cand" @@ -140,9 +140,9 @@ def get_datfile_len(nodename, datfile): datfiledir, datfilenm = os.path.split(datfile) if not local: - print "\nGoing to %s and folding candidate #%s from the file %s."%\ - (node,candnum,candfile) - print " Folding command:" + print("\nGoing to %s and folding candidate #%s from the file %s."%\ + (node,candnum,candfile)) + print(" Folding command:") if shortcand: shortparts, shortoutext, f, fd, fdd = short_stuff(candfile, int(candnum), @@ -151,7 +151,7 @@ def get_datfile_len(nodename, datfile): outfile += shortoutext foldcommand = "prepfold %s -f %.15g -fd %.15g -fdd %.15g -o %s %s"%\ (extraargs, f, fd, fdd, outfile, datfile) - print foldcommand + print(foldcommand) if not local: os.system("ssh -X %s 'cd %s ; %s'"%(node, datfiledir, foldcommand)) os.system("scp -c blowfish %s:%s*_%.2f*.pfd* %s"% \ @@ -162,7 +162,7 @@ def get_datfile_len(nodename, datfile): foldcommand = "prepfold %s -accelcand %s -accelfile %s -o %s %s"%\ (extraargs, candnum, fullcandfile, outfile, datfile) - print " %s"%foldcommand + print(" %s"%foldcommand) if not local: os.system("ssh -X %s 'cd %s ; %s'"%(node, datfiledir, foldcommand)) os.system("scp -c blowfish %s:%s*ACCEL_Cand_%d*.pfd* %s"% \ diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 31462f647..2350bd41d 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -4,8 +4,8 @@ from __future__ import print_function from builtins import range import numpy as np -import pyfits -import filterbank +from astropy.io import fits as pyfits +from presto import filterbank import optparse import sys import os diff --git a/bin/injectpsr.py b/bin/injectpsr.py index 793df1c86..c94a0c051 100755 --- a/bin/injectpsr.py +++ b/bin/injectpsr.py @@ -11,7 +11,6 @@ import sys import argparse import warnings -import pickle import copy import numpy as np @@ -22,8 +21,8 @@ import matplotlib.pyplot as plt import scipy.integrate -import filterbank -import psr_utils +from presto import filterbank +from presto import psr_utils DEBUG = False # Print debugging messages @@ -224,6 +223,8 @@ def smear(self, smearphs, delayphs=0, npts=4096): Output: smeared: The smeared Profile. """ + + # todo: (gijs) bug, scatterphs not defined if smearphs < 0: raise ValueError("Amount of phase to smear by (%g) " \ "cannot be negative!" % scatterphs) diff --git a/bin/make_spd.py b/bin/make_spd.py index 7f30da792..0282fa4de 100755 --- a/bin/make_spd.py +++ b/bin/make_spd.py @@ -13,22 +13,19 @@ from __future__ import print_function from builtins import map from builtins import range - -import sys -import copy from time import strftime -from subprocess import Popen, PIPE import numpy as np import optparse -import waterfaller -import psr_utils +from presto import waterfaller +from presto import psr_utils +# todo: (gijs) plot_spd is a script, not a module. import plot_spd -import singlepulse.spcand as spcand -import singlepulse.spio as spio -import psrfits -import filterbank -import spectra +from presto.singlepulse import spcand as spcand +from presto.singlepulse import spio as spio +from presto import psrfits +from presto import filterbank + DEBUG = True def print_debug(msg): diff --git a/bin/makezaplist.py b/bin/makezaplist.py index cf1c3cf42..55550d639 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -6,16 +6,18 @@ from builtins import range from builtins import object from sys import argv, exit -from string import index -from presto import * +from presto.presto import read_inffile, binary_velocity, psrepoch + class bird(object): def __init__(self, freq, width, bary=0): self.freq = freq self.width = width self.bary = bary + def __cmp__(self, other): return cmp(self.freq, other.freq) + def __str__(self): if self.bary: return "B %20.15g %20.15g\n" % (self.freq, self.width) @@ -25,7 +27,7 @@ def __str__(self): def processbirds(filename): # Filename should be the rootfilename of the FFT + '.birds' try: - ii = index(filename, ".birds") + ii = filename.index(".birds") except ValueError: print("\nThe birdie filename must end in '.birds'\n") exit(0) diff --git a/bin/orbellipsefit.py b/bin/orbellipsefit.py index a6eb4f5f3..c3d538c88 100755 --- a/bin/orbellipsefit.py +++ b/bin/orbellipsefit.py @@ -8,14 +8,15 @@ from __future__ import print_function from numpy import * from pylab import * -from psr_utils import * -from sys import argv, exit -import parfile +from presto.psr_utils import * +from sys import argv +from presto import parfile from matplotlib.patches import Ellipse from scipy.optimize import leastsq verbose = True cspeed = 299792458.0 # m/s + def read_bestprof(filename,f1errmax=999.0): infile = open(filename) bary = N = 0 diff --git a/bin/pfd_for_timing.py b/bin/pfd_for_timing.py index b833243b3..0d1929628 100755 --- a/bin/pfd_for_timing.py +++ b/bin/pfd_for_timing.py @@ -1,6 +1,8 @@ #!/usr/bin/env python from __future__ import print_function -import sys, prepfold +import sys +from presto import prepfold + if len(sys.argv) == 1: sys.stderr.write("""usage: pfd_for_timing.py PFDFILES\n diff --git a/bin/plot_spd.py b/bin/plot_spd.py index 0e5a8f748..06fc1d83f 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -14,9 +14,10 @@ import optparse import tarfile from subprocess import Popen, PIPE -import singlepulse.sp_pgplot as sp_pgplot -import singlepulse.read_spd as read_spd -import singlepulse.spio as spio +import presto.singlepulse.sp_pgplot as sp_pgplot +import presto.singlepulse.read_spd as read_spd +import presto.singlepulse.spio as spio + def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): diff --git a/bin/powerstats.py b/bin/powerstats.py index c734211fd..09a2ac3f7 100755 --- a/bin/powerstats.py +++ b/bin/powerstats.py @@ -1,14 +1,15 @@ #!/usr/bin/env python from __future__ import print_function from builtins import input -import numpy as Num -from events import * +from presto.events import * + def answer_yes(question): yes = ['', 'Y', 'y', 'Yes', 'yes', 'YES', 'T', 't', 'True', 'true', 'TRUE'] return input('\n'+question) in yes + def ask_float(question, default=None): while 1: ans = input('\n'+question) diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index 85a982adf..482a1ccff 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -3,9 +3,9 @@ from __future__ import print_function from builtins import range import numpy as np -import psrfits -import filterbank -import sigproc +from presto import psrfits +from presto import filterbank +from presto import sigproc import optparse import sys import os diff --git a/bin/psrfits_quick_bandpass.py b/bin/psrfits_quick_bandpass.py index 0f4695ee6..13de1c73a 100755 --- a/bin/psrfits_quick_bandpass.py +++ b/bin/psrfits_quick_bandpass.py @@ -3,7 +3,8 @@ from builtins import zip import numpy as np import matplotlib.pyplot as plt -import sys, psrfits +import sys +from presto import psrfits from optparse import OptionParser full_usage = """ diff --git a/bin/pulsestack.py b/bin/pulsestack.py index 4f89a56e0..67a4d6af6 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -23,14 +23,16 @@ from builtins import str from builtins import range import numpy as np +import scipy +import scipy.signal import array as ar -import os, os.path, stat, glob, sys +import os.path, stat, sys import math import optparse as opt -import infodata as inf -import polycos as poly -import scipy, scipy.signal -import sigproc +import presto.infodata as inf +import presto.polycos as poly + + # importing VariableColormap from kapteyn module of it exists try: from kapteyn.mplutil import VariableColormap diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index 25d1af0e5..de7e08487 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -2,12 +2,14 @@ from __future__ import print_function from builtins import range from builtins import object -from psr_utils import gaussian_profile, span, read_profile +import sys +from presto.psr_utils import gaussian_profile, read_profile from matplotlib.patches import Rectangle -from bestprof import bestprof +from presto.bestprof import bestprof import matplotlib.pyplot as plt import numpy as Num -import mpfit, sys +from presto import mpfit + class GaussianSelector(object): def __init__(self, ax, profile, errs, profnm, minspanx=None, diff --git a/bin/pyplotres.py b/bin/pyplotres.py index fb9429098..47ef71508 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -14,19 +14,17 @@ import sys import re import os -import types -import warnings - import matplotlib import matplotlib.pyplot as plt import numpy as np +from scipy.cluster.vq import kmeans2 import pyslalib.slalib as slalib -import binary_psr -import parfile as par -import residuals +from presto import binary_psr +from presto import parfile as par +from presto import residuals + -from scipy.cluster.vq import kmeans2 # Available x-axis types xvals = ['mjd', 'year', 'numtoa', 'orbitphase'] diff --git a/bin/quick_prune_cands.py b/bin/quick_prune_cands.py index ad717af3c..3e142bf53 100755 --- a/bin/quick_prune_cands.py +++ b/bin/quick_prune_cands.py @@ -1,5 +1,7 @@ #!/usr/bin/env python -import sifting, sys +import sys +from presto import sifting + if len(sys.argv) < 2: sys.stderr.write("\nusage: quick_prune_cands.py ACCEL_file_name [sigma]\n\n") diff --git a/bin/quickffdots.py b/bin/quickffdots.py index c4e26b9da..26c20a1e4 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -1,8 +1,8 @@ #!/usr/bin/env python from __future__ import print_function from builtins import range -from infodata import * -from presto import ffdot_plane, spectralpower +from presto.infodata import * +from presto.presto import ffdot_plane, spectralpower from pylab import * import numpy as N import sys diff --git a/bin/rfifind_stats.py b/bin/rfifind_stats.py index 86805da19..cdd0c8698 100755 --- a/bin/rfifind_stats.py +++ b/bin/rfifind_stats.py @@ -1,5 +1,6 @@ #!/usr/bin/env python -import rfifind, sys +import sys +from presto import rfifind if __name__=="__main__": a = rfifind.rfifind(sys.argv[1]) diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 0c8fb4d7b..9d0f93893 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -17,19 +17,14 @@ from __future__ import print_function from past.builtins import cmp from builtins import str -from builtins import range -from builtins import object -import fileinput import numpy as np from time import strftime -import glob -import os.path -import infodata +from presto import infodata import matplotlib.pyplot as plt -from Pgplot import * +from presto.Pgplot import * import optparse -import sys -import singlepulse.spio as spio +import presto.singlepulse.spio as spio + FRACTIONAL_SIGMA = 0.9 # change to 0.8? ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] diff --git a/bin/single_pulse_search.py b/bin/single_pulse_search.py index cc1fd0d6e..5a96afa9c 100755 --- a/bin/single_pulse_search.py +++ b/bin/single_pulse_search.py @@ -1,13 +1,12 @@ #!/usr/bin/env python from __future__ import print_function -from builtins import str, zip, range, object -import bisect, os, sys, getopt, infodata, glob -import scipy, scipy.signal, scipy.stats, ppgplot -import numpy as Num -from presto import rfft, next2_to_n -from psr_utils import coord_to_string +from builtins import str, zip from optparse import OptionParser -from Pgplot import * +import bisect, os, sys, glob +import scipy, scipy.signal, scipy.stats +from presto.presto import rfft, next2_to_n +from presto import infodata +from presto.Pgplot import * # This is for Python 2/3 comptibility def mycmp(a, b): @@ -682,7 +681,7 @@ def main(): prof.close() # To see the results: if (0): - from hotshot import stats + from presto.hotshot import stats s = stats.load("hotshot_edi_stats") s.sort_stats("time").print_stats() else: diff --git a/bin/sortwappfiles.py b/bin/sortwappfiles.py index 57eebfa7f..6797f43b6 100755 --- a/bin/sortwappfiles.py +++ b/bin/sortwappfiles.py @@ -6,20 +6,20 @@ maxwappnum = 7 wappfiles = {} for filename in sys.argv[1:]: - for wappnum in range(1,maxwappnum+1): - if ((wappnum==1 and re.search("\.wapp\.", filename)) or \ - (wappnum>1 and re.search("\.wapp%d?\."%wappnum, filename))): - if wappnum in wappfiles: - wappfiles[wappnum].append(filename) - else: - wappfiles[wappnum] = [filename] - break + for wappnum in range(1, maxwappnum + 1): + if ((wappnum == 1 and re.search("\.wapp\.", filename)) or \ + (wappnum > 1 and re.search("\.wapp%d?\." % wappnum, filename))): + if wappnum in wappfiles: + wappfiles[wappnum].append(filename) + else: + wappfiles[wappnum] = [filename] + break for key in list(wappfiles.keys()): numfiles = len(wappfiles[key]) wappfiles[key].sort() for filenum in range(numfiles): - for wappnum in range(1,maxwappnum+1): - if wappnum in wappfiles: - print(wappfiles[wappnum][filenum], end=' ') + for wappnum in range(1, maxwappnum + 1): + if wappnum in wappfiles: + print(wappfiles[wappnum][filenum], end=' ') diff --git a/bin/subband_smearing.py b/bin/subband_smearing.py index ea51ecc09..fdcf65937 100755 --- a/bin/subband_smearing.py +++ b/bin/subband_smearing.py @@ -2,7 +2,7 @@ from __future__ import print_function import matplotlib.pyplot as plt import numpy as num -import psr_utils as pu +import presto.psr_utils as pu def subband_smear(DM, subDM, subBW, fctr): """ diff --git a/bin/sum_profiles.py b/bin/sum_profiles.py index 2b2f6de64..a637181a1 100755 --- a/bin/sum_profiles.py +++ b/bin/sum_profiles.py @@ -2,15 +2,20 @@ from __future__ import print_function from builtins import zip from builtins import range -import struct, getopt, sys, fftfit, psr_utils, os.path, sinc_interp, Pgplot +import getopt, sys +import os.path +from presto import fftfit +from presto import psr_utils +from presto import sinc_interp +from presto import Pgplot import numpy as Num -from infodata import infodata -from prepfold import pfd -from polycos import polycos -from psr_constants import * +from presto.prepfold import pfd +from presto.psr_constants import * + scopes = {'GBT':'1', 'Arecibo':'3', 'Parkes':'7', 'GMRT': 'r'} + def measure_phase(profile, template): """ measure_phase(profile, template): @@ -200,7 +205,7 @@ def usage(): pfdfilenms = [] killsubss = [] killintss = [] - for line in file(sys.argv[-1]): + for line in open(sys.argv[-1]): if not line.startswith("#"): sline = line.split() pfdfilenm = sline[0] diff --git a/bin/tim2dat.py b/bin/tim2dat.py index fe1c7aef0..9a164228b 100755 --- a/bin/tim2dat.py +++ b/bin/tim2dat.py @@ -1,16 +1,14 @@ #!/usr/bin/env python from __future__ import print_function import astropy.coordinates as coords -import astropy.units as u from builtins import str import os import os.path import argparse import sys import getpass -import re import numpy as np -import sigproc +from presto import sigproc BLOCKSIZE = 10000 # Amount of data to copy at a time # from input file to output file (in samples) diff --git a/bin/waterfaller.py b/bin/waterfaller.py index 95a97e035..e2c1e4c3c 100755 --- a/bin/waterfaller.py +++ b/bin/waterfaller.py @@ -11,20 +11,17 @@ """ -import sys import optparse -import copy import matplotlib.pyplot as plt import matplotlib.cm import numpy as np -import psr_utils -import rfifind +from presto import psr_utils +from presto import rfifind +from presto import psrfits +from presto import filterbank -import psrfits -import filterbank -import spectra SWEEP_STYLES = ['r-', 'b-', 'g-', 'm-', 'c-'] diff --git a/bin/weights_to_ignorechan.py b/bin/weights_to_ignorechan.py index 484d97192..43e378890 100755 --- a/bin/weights_to_ignorechan.py +++ b/bin/weights_to_ignorechan.py @@ -55,10 +55,8 @@ def build_pazline(chanline): # Get the chanline chanline = build_chanline(weights) - print chanline + print(chanline) # Convert it to a paz command pazline = build_pazline(chanline) - print "\n"+pazline - - + print("\n"+pazline) diff --git a/python/presto/Pgplot.py b/python/presto/Pgplot.py index cb309c859..7299b1b5e 100644 --- a/python/presto/Pgplot.py +++ b/python/presto/Pgplot.py @@ -1,26 +1,24 @@ +""" + Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' + and the Python 'PPGPLOT' package + + Written by Scott M. Ransom (ransom@cfa.harvard.edu) + last revision: 01 Jul 2000 + + 'PGPLOT' was writtten by Tim Pearson , + and can be found at http://astro.caltech.edu/~tjp/pgplot/ + + 'PPGPLOT' was written by Nick Patavalis , + and can be found at http://ariadne.di.uoa.gr/ppgplot/ + _or_ an updated version is available in the same directory + where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom +""" from __future__ import print_function -from builtins import str from builtins import range from builtins import object -import sys - -# Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' -# and the Python 'PPGPLOT' package -# -# Written by Scott M. Ransom (ransom@cfa.harvard.edu) -# last revision: 01 Jul 2000 -# -# 'PGPLOT' was writtten by Tim Pearson , -# and can be found at http://astro.caltech.edu/~tjp/pgplot/ -# -# 'PPGPLOT' was written by Nick Patavalis , -# and can be found at http://ariadne.di.uoa.gr/ppgplot/ -# _or_ an updated version is available in the same directory -# where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom -# - import numpy as Num -import types, math, ppgplot +from presto import ppgplot + # Check if string in Py2 and Py3 compatible way def isstr(var): diff --git a/python/presto/binary_psr.py b/python/presto/binary_psr.py index f32c205bc..777ae3426 100644 --- a/python/presto/binary_psr.py +++ b/python/presto/binary_psr.py @@ -1,8 +1,8 @@ from __future__ import print_function from builtins import object import numpy as Num -import parfile, psr_utils -from psr_constants import * +from presto import parfile, psr_utils +from presto.psr_constants import * def myasarray(a): if type(a) in [type(1.0),type(1),type(1),type(1j)]: diff --git a/python/presto/cosine_rand.py b/python/presto/cosine_rand.py index df2bc0337..d67634f05 100644 --- a/python/presto/cosine_rand.py +++ b/python/presto/cosine_rand.py @@ -1,15 +1,16 @@ from __future__ import print_function from future import standard_library standard_library.install_aliases() -from builtins import range import numpy as Num import pickle, os +from presto.psr_utils import hist +from presto.Pgplot import plotxy, closeplot n = 1000 if (0): # Use the following to generate the xs - from simple_roots import newton_raphson + from presto.simple_roots import newton_raphson rval = 0.0 rs = Num.arange(n+1, dtype=Num.float)/n @@ -31,6 +32,7 @@ def dfunc(x): "lib", "python", "cosine_rand.pickle") xs = pickle.load(open(pfile)) + def cosine_rand(num): """cosine_rand(num): Return num phases that are randomly distributed as per a sinusoid with maximum at phase=0 (0 < phase < 1). @@ -42,11 +44,8 @@ def cosine_rand(num): hi = Num.take(xs, indices+1) return fracts*(hi-lo)+lo + if __name__ == '__main__': - from psr_utils import hist - from Pgplot import plotxy, closeplot - import time - if (0): numtrials = 20 numrandnums = 1000000 diff --git a/python/presto/events.py b/python/presto/events.py index 6fa37c2fb..94557a66f 100644 --- a/python/presto/events.py +++ b/python/presto/events.py @@ -1,11 +1,11 @@ from __future__ import print_function -from builtins import range import bisect -import numpy as Num -from psr_constants import PI, TWOPI, PIBYTWO -from simple_roots import newton_raphson +from presto.psr_constants import PI, TWOPI, PIBYTWO +from presto.simple_roots import newton_raphson from scipy.special import iv, chdtri, ndtr, ndtri -from cosine_rand import * +from presto.cosine_rand import * +import numpy as np + def sine_events(pulsed_frac, Nevents, phase=0.0): """ @@ -416,12 +416,13 @@ def pulsed_fraction_limit(Nphot, Pow): """ return Num.sqrt(4.0 * (Pow - 1.0) / Nphot) + if __name__=="__main__": - from psr_utils import * - from Pgplot import * - from presto import * + from presto.psr_utils import * + from presto.Pgplot import * + from presto.presto import * from RandomArray import * - + prof = expcos_profile(128, 0.0, 0.1) + normal(0.0, 5.0, 128) plotxy(prof) closeplot() diff --git a/python/presto/filterbank.py b/python/presto/filterbank.py index 59f80c049..5372c75ed 100644 --- a/python/presto/filterbank.py +++ b/python/presto/filterbank.py @@ -8,12 +8,11 @@ from builtins import object import sys -import warnings import os import os.path import numpy as np -import sigproc -import spectra +from presto import sigproc +from presto import spectra DEBUG = False diff --git a/python/presto/injectpsr.py b/python/presto/injectpsr.py index 9e708c756..9c011befc 100755 --- a/python/presto/injectpsr.py +++ b/python/presto/injectpsr.py @@ -11,7 +11,6 @@ import sys import argparse import warnings -import pickle import copy import numpy as np @@ -22,8 +21,8 @@ import matplotlib.pyplot as plt import scipy.integrate -import filterbank -import psr_utils +from presto import filterbank +from presto import psr_utils DEBUG = False # Print debugging messages diff --git a/python/presto/kuiper.py b/python/presto/kuiper.py index 146ec75b9..259403840 100644 --- a/python/presto/kuiper.py +++ b/python/presto/kuiper.py @@ -1,7 +1,7 @@ from __future__ import print_function from builtins import range import numpy as num -import Pgplot +from presto import Pgplot from functools import reduce def noverk(n,k): diff --git a/python/presto/mpfit.py b/python/presto/mpfit.py index c32870a34..82b916b19 100644 --- a/python/presto/mpfit.py +++ b/python/presto/mpfit.py @@ -406,7 +406,6 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) from builtins import object import numpy -import types # Original FORTRAN documentation diff --git a/python/presto/parfile.py b/python/presto/parfile.py index cd9d3c89b..7a309722c 100644 --- a/python/presto/parfile.py +++ b/python/presto/parfile.py @@ -1,10 +1,8 @@ from __future__ import print_function from builtins import object import six -#from types import StringType, FloatType -import collections import math, re -import psr_utils as pu +from presto import psr_utils as pu try: from slalib import sla_ecleq, sla_eqecl, sla_eqgal slalib = True diff --git a/python/presto/polycos.py b/python/presto/polycos.py index 5126a2467..f1c098199 100644 --- a/python/presto/polycos.py +++ b/python/presto/polycos.py @@ -3,8 +3,7 @@ import os import sys import subprocess -import types -import parfile +from presto import parfile import numpy as Num diff --git a/python/presto/prepfold.py b/python/presto/prepfold.py index 7c5701207..0aed966e8 100644 --- a/python/presto/prepfold.py +++ b/python/presto/prepfold.py @@ -2,12 +2,12 @@ from builtins import range from builtins import object import numpy as Num -import copy, random, struct, sys -import psr_utils, infodata, polycos, Pgplot -# from types import StringType, FloatType, IntType +import copy, random, struct +from presto import psr_utils, infodata, polycos, Pgplot import six import numbers -from bestprof import bestprof +from presto.bestprof import bestprof + class pfd(object): diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 6106b4ecd..29701c299 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -1,16 +1,18 @@ from __future__ import print_function from builtins import str from builtins import range +import bisect import numpy as Num import numpy.fft as FFT -import Pgplot, ppgplot, bisect, sinc_interp, parfile from scipy.special import ndtr, ndtri, chdtrc, chdtri, fdtr, i0, kolmogorov from scipy.optimize import leastsq import scipy.optimize.zeros as zeros -from psr_constants import * +from presto import Pgplot, ppgplot, sinc_interp, parfile +from presto.psr_constants import * isintorlong = lambda x: type(x) == type(0) or type(x) == type(0) + def span(Min, Max, Number): """ span(Min, Max, Number): @@ -18,9 +20,10 @@ def span(Min, Max, Number): """ assert isintorlong(Number) if isintorlong(Min) and isintorlong(Max) and \ - (Max-Min) % (Number-1) != 0: - Max = float(Max) # force floating points - return Min+(Max-Min)*Num.arange(Number)/(Number-1) + (Max - Min) % (Number - 1) != 0: + Max = float(Max) # force floating points + return Min + (Max - Min) * Num.arange(Number) / (Number - 1) + def distance(width): """ @@ -28,8 +31,8 @@ def distance(width): Return a 'width' x 'width' Num Python array with each point set to the geometric distance from the array's center. """ - x = Num.arange(-width/2.0+0.5, width/2.0+0.5, 1.0)**2 - x = Num.resize(x, (width,width)) + x = Num.arange(-width / 2.0 + 0.5, width / 2.0 + 0.5, 1.0) ** 2 + x = Num.resize(x, (width, width)) return Num.sqrt(x + Num.transpose(x)) def is_power_of_10(n): @@ -88,6 +91,7 @@ def choose_N(orig_N): two_N *= 2 return min(two_N, new_N) + def running_avg(arr, navg): """ running_avg(arr, navg): @@ -98,6 +102,7 @@ def running_avg(arr, navg): a.shape = (len(a) / navg, navg) return Num.add.reduce(Num.transpose(a)) / navg + def hist(data, bins, range=None, laby="Number", **kwargs): """ hist(data, bins, range=None, laby="Number", **kwargs): @@ -112,15 +117,16 @@ def hist(data, bins, range=None, laby="Number", **kwargs): Note: This command also accepts all the keyword arge of plotbinned(). """ (ys, lox, dx, out) = Num.histogram(data, bins, range) - xs = Num.arange(bins, dtype='d')*dx + lox + 0.5*dx - maxy = int(1.1*max(ys)) + xs = Num.arange(bins, dtype='d') * dx + lox + 0.5 * dx + maxy = int(1.1 * max(ys)) if maxy < max(ys): maxy = max(ys) + 1.0 if 'rangey' not in list(kwargs.keys()): - kwargs['rangey']=[0,maxy] + kwargs['rangey'] = [0, maxy] Pgplot.plotbinned(ys, xs, laby=laby, **kwargs) return (xs, ys) + def KS_test(data, cumdist, output=0): """ KS_test(data, cumdist, output=0): @@ -129,17 +135,18 @@ def KS_test(data, cumdist, output=0): """ nn = len(data) sdata = Num.sort(Num.asarray(data)) - D1 = Num.maximum.reduce(Num.absolute(cumdist(sdata)- - Num.arange(nn, dtype='d')/nn)) - D2 = Num.maximum.reduce(Num.absolute(cumdist(sdata)- - Num.arange(1,nn+1, dtype='d')/nn)) + D1 = Num.maximum.reduce(Num.absolute(cumdist(sdata) - + Num.arange(nn, dtype='d') / nn)) + D2 = Num.maximum.reduce(Num.absolute(cumdist(sdata) - + Num.arange(1, nn + 1, dtype='d') / nn)) D = max((D1, D2)) - P = kolmogorov(Num.sqrt(nn)*D) + P = kolmogorov(Num.sqrt(nn) * D) if (output): print("Max distance between the cumulative distributions (D) = %.5g" % D) print("Prob the data is from the specified distrbution (P) = %.3g" % P) return (D, P) + def weighted_mean(arrin, weights_in, inputmean=None, calcerr=False, sdev=False): """ NAME: @@ -184,82 +191,92 @@ def weighted_mean(arrin, weights_in, inputmean=None, calcerr=False, sdev=False): wtot = weights.sum() # user has input a mean value if inputmean is None: - wmean = ( weights*arr ).sum()/wtot + wmean = (weights * arr).sum() / wtot else: - wmean=float(inputmean) + wmean = float(inputmean) # how should error be calculated? if calcerr: - werr2 = ( weights**2 * (arr-wmean)**2 ).sum() - werr = Num.sqrt( werr2 )/wtot + werr2 = (weights ** 2 * (arr - wmean) ** 2).sum() + werr = Num.sqrt(werr2) / wtot else: - werr = 1.0/Num.sqrt(wtot) + werr = 1.0 / Num.sqrt(wtot) # should output include the weighted standard deviation? if sdev: - wvar = ( weights*(arr-wmean)**2 ).sum()/wtot + wvar = (weights * (arr - wmean) ** 2).sum() / wtot wsdev = Num.sqrt(wvar) - return wmean,werr,wsdev + return wmean, werr, wsdev else: - return wmean,werr + return wmean, werr + def MJD_to_JD(MJD): """ MJD_to_JD(MJD): Convert Modified Julian Date (MJD) to Julian Date (JD) """ - return MJD+2400000.5 + return MJD + 2400000.5 + def JD_to_MJD(JD): """ JD_to_MJD(JD): Convert Julian Date (JD) to Modified Julian Date (MJD) """ - return JD-2400000.5 + return JD - 2400000.5 + def MJD_to_Julian_Epoch(MJD): """ MJD_to_Julian_Epoch(MJD): Convert Modified Julian Date (MJD) to Julian Epoch """ - return 2000.0 + (MJD-51544.5)/365.25 + return 2000.0 + (MJD - 51544.5) / 365.25 + def Julian_Epoch_to_MJD(jepoch): """ Julian_Epoch_to_MJD(jepoch): Convert Julian Epoch to Modified Julian Date (MJD) """ - return 51544.5 + (jepoch-2000.0)*365.25 + return 51544.5 + (jepoch - 2000.0) * 365.25 + def MJD_to_Besselian_Epoch(MJD): """ MJD_to_Besselian_Epoch(MJD): Convert Modified Julian Date (MJD) to Besselian Epoch """ - return 1900.0 + (MJD-15019.81352)/365.242198781 + return 1900.0 + (MJD - 15019.81352) / 365.242198781 + def Besselian_Epoch_to_MJD(bepoch): """ Besselian_Epoch_to_MJD(bepoch): Convert Besselian Epoch to Modified Julian Date (MJD) """ - return 15019.81352 + (bepoch-1900.0)*365.242198781 + return 15019.81352 + (bepoch - 1900.0) * 365.242198781 + def rad_to_dms(rad): """ rad_to_dms(rad): Convert radians to degrees, minutes, and seconds of arc. """ - if (rad < 0.0): sign = -1 - else: sign = 1 + if (rad < 0.0): + sign = -1 + else: + sign = 1 arc = RADTODEG * Num.fmod(Num.fabs(rad), PI) d = int(arc) arc = (arc - d) * 60.0 m = int(arc) s = (arc - m) * 60.0 - if sign==-1 and d==0: + if sign == -1 and d == 0: return (sign * d, sign * m, sign * s) else: return (sign * d, m, s) + def dms_to_rad(deg, min, sec): """ dms_to_rad(deg, min, sec): @@ -267,7 +284,7 @@ def dms_to_rad(deg, min, sec): """ if (deg < 0.0): sign = -1 - elif (deg==0.0 and (min < 0.0 or sec < 0.0)): + elif (deg == 0.0 and (min < 0.0 or sec < 0.0)): sign = -1 else: sign = 1 @@ -275,6 +292,7 @@ def dms_to_rad(deg, min, sec): (60.0 * (60.0 * Num.fabs(deg) + Num.fabs(min)) + Num.fabs(sec)) + def dms_to_deg(deg, min, sec): """ dms_to_deg(deg, min, sec): @@ -282,6 +300,7 @@ def dms_to_deg(deg, min, sec): """ return RADTODEG * dms_to_rad(deg, min, sec) + def rad_to_hms(rad): """ rad_to_hms(rad): @@ -296,17 +315,21 @@ def rad_to_hms(rad): s = (arc - m) * 60.0 return (h, m, s) + def hms_to_rad(hour, min, sec): """ hms_to_rad(hour, min, sec): Convert hours, minutes, and seconds of arc to radians """ - if (hour < 0.0): sign = -1 - else: sign = 1 + if (hour < 0.0): + sign = -1 + else: + sign = 1 return sign * SECTORAD * \ (60.0 * (60.0 * Num.fabs(hour) + Num.fabs(min)) + Num.fabs(sec)) + def hms_to_hrs(hour, min, sec): """ hms_to_hrs(hour, min, sec): @@ -314,6 +337,7 @@ def hms_to_hrs(hour, min, sec): """ return RADTOHRS * hms_to_rad(hour, min, sec) + def coord_to_string(h_or_d, m, s): """ coord_to_string(h_or_d, m, s): @@ -323,14 +347,15 @@ def coord_to_string(h_or_d, m, s): retstr = "" if h_or_d < 0: retstr = "-" - elif abs(h_or_d)==0: + elif abs(h_or_d) == 0: if (m < 0.0) or (s < 0.0): retstr = "-" h_or_d, m, s = abs(h_or_d), abs(m), abs(s) if (s >= 9.9995): - return retstr+"%.2d:%.2d:%.4f" % (h_or_d, m, s) + return retstr + "%.2d:%.2d:%.4f" % (h_or_d, m, s) else: - return retstr+"%.2d:%.2d:0%.4f" % (h_or_d, m, s) + return retstr + "%.2d:%.2d:0%.4f" % (h_or_d, m, s) + def ra_to_rad(ra_string): """ @@ -342,6 +367,7 @@ def ra_to_rad(ra_string): h, m, s = ra_string.split(":") return hms_to_rad(int(h), int(m), float(s)) + def dec_to_rad(dec_string): """ dec_to_rad(dec_string): @@ -350,17 +376,19 @@ def dec_to_rad(dec_string): radians. """ d, m, s = dec_string.split(":") - if "-" in d and int(d)==0: - m, s = '-'+m, '-'+s + if "-" in d and int(d) == 0: + m, s = '-' + m, '-' + s return dms_to_rad(int(d), int(m), float(s)) + def delta_m(flux_factor): """ delta_m(flux_factor): Return the change in magnitudes caused by a change in flux of flux_factor. """ - return -2.5*Num.log10(flux_factor) + return -2.5 * Num.log10(flux_factor) + def flux_factor(delta_m): """ @@ -368,7 +396,8 @@ def flux_factor(delta_m): Return the change in flux caused by a change in magnitude of delta_m magnitudes """ - return 10.0**(delta_m/-2.5) + return 10.0 ** (delta_m / -2.5) + def distance_modulus_to_distance(dm, absorption=0.0): """ @@ -376,7 +405,8 @@ def distance_modulus_to_distance(dm, absorption=0.0): Return the distance (kpc) given a distance modulus dm and an optional absorption. """ - return 10.0**(((dm-absorption)+5.0)/5.0)/1000.0 + return 10.0 ** (((dm - absorption) + 5.0) / 5.0) / 1000.0 + def distance_to_distance_modulus(d, absorption=0.0): """ @@ -384,7 +414,8 @@ def distance_to_distance_modulus(d, absorption=0.0): Return the distance modulus given a distance d and an optional absorption. """ - return 5.0*Num.log10(d*1000.0)-5.0+absorption + return 5.0 * Num.log10(d * 1000.0) - 5.0 + absorption + def true_anomaly(E, ecc): """ @@ -392,7 +423,8 @@ def true_anomaly(E, ecc): Return the True Anomaly (in radians) given the Eccentric anomaly (E in radians) and the eccentricity (ecc) """ - return 2.0*Num.arctan(Num.sqrt((1.0+ecc)/(1.0-ecc))*Num.tan(E/2.0)) + return 2.0 * Num.arctan(Num.sqrt((1.0 + ecc) / (1.0 - ecc)) * Num.tan(E / 2.0)) + def mass_funct(pb, x): """ @@ -402,7 +434,8 @@ def mass_funct(pb, x): 'x' is the projected semi-major axis in lt-sec. """ pbs = pb * 86400.0 - return 8015123.37129 * x**3.0 / (pbs * pbs) + return 8015123.37129 * x ** 3.0 / (pbs * pbs) + def mass_funct2(mp, mc, i): """ @@ -413,7 +446,8 @@ def mass_funct2(mp, mc, i): 'i' is the orbital inclination (rad). Note: An 'average' orbit has cos(i) = 0.5, or i = 60 deg """ - return (mc * Num.sin(i))**3.0 / (mc + mp)**2.0 + return (mc * Num.sin(i)) ** 3.0 / (mc + mp) ** 2.0 + def asini_c(pb, mf): """ @@ -422,7 +456,8 @@ def asini_c(pb, mf): 'pb' is the binary period in sec. 'mf' is the mass function of the orbit. """ - return (mf * pb * pb / 8015123.37129)**(1.0 / 3.0) + return (mf * pb * pb / 8015123.37129) ** (1.0 / 3.0) + def TS99_WDmass(pb, pop="I+II"): """ @@ -453,7 +488,7 @@ def ELL1_check(par_file, output=False): """ psr = parfile.psr_par(par_file) try: - lhs = psr.A1 * psr.E**2.0 * 1e6 + lhs = psr.A1 * psr.E ** 2.0 * 1e6 except: if output: print("Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?") @@ -466,8 +501,8 @@ def ELL1_check(par_file, output=False): return if output: print("Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:") - print(" asini/c * ecc**2 = %8.3g us"%lhs) - print(" TRES / sqrt(# TOAs) = %8.3g us"%rhs) + print(" asini/c * ecc**2 = %8.3g us" % lhs) + print(" TRES / sqrt(# TOAs) = %8.3g us" % rhs) if lhs * 50.0 < rhs: if output: print("Should be fine.") @@ -481,6 +516,7 @@ def ELL1_check(par_file, output=False): print("Should probably use BT or DD instead.") return False + def accel_to_z(accel, T, reffreq, harm=1): """ accel_to_z(accel, T, reffreq, harm=1): @@ -491,6 +527,7 @@ def accel_to_z(accel, T, reffreq, harm=1): """ return accel * harm * reffreq * T * T / SOL + def z_to_accel(z, T, reffreq, harm=1): """ z_to_accel(z, T, reffreq, harm=1): @@ -511,18 +548,19 @@ def bins_to_accel(z, T, f=[1.0, 1000.0], device="/XWIN"): an observation of length 'T'. """ fs = span(Num.log10(f[0]), Num.log10(f[1]), 1000) - accels = z_to_accel(z, T, 10.0**fs) + accels = z_to_accel(z, T, 10.0 ** fs) if (device): Pgplot.plotxy(Num.log10(accels), fs, logx=1, logy=1, labx="Frequency (Hz)", laby=r"Acceleration (m/s\u2\d)", device=device) - ppgplot.pgmtxt("T", -2.0, 0.75, 0.0, "T = %.0f sec"%T) - ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, r"r\B\u\.\d = %.1f bins"%z) + ppgplot.pgmtxt("T", -2.0, 0.75, 0.0, "T = %.0f sec" % T) + ppgplot.pgmtxt("T", -3.5, 0.75, 0.0, r"r\B\u\.\d = %.1f bins" % z) if (device != '/XWIN'): Pgplot.closeplot() else: return accels + def pulsar_mass(pb, x, mc, inc): """ pulsar_mass(pb, x, mc, inc): @@ -534,10 +572,13 @@ def pulsar_mass(pb, x, mc, inc): 'mc' is the mass of the companion in solar mass units. """ massfunct = mass_funct(pb, x) - def localmf(mp, mc=mc, mf=massfunct, i=inc*DEGTORAD): + + def localmf(mp, mc=mc, mf=massfunct, i=inc * DEGTORAD): return mass_funct2(mp, mc, i) - mf + return zeros.bisect(localmf, 0.0, 1000.0) + def companion_mass(pb, x, inc=60.0, mpsr=1.4): """ companion_mass(pb, x, inc=60.0, mpsr=1.4): @@ -549,10 +590,13 @@ def companion_mass(pb, x, inc=60.0, mpsr=1.4): 'mpsr' is the mass of the pulsar in solar mass units. """ massfunct = mass_funct(pb, x) - def localmf(mc, mp=mpsr, mf=massfunct, i=inc*DEGTORAD): + + def localmf(mc, mp=mpsr, mf=massfunct, i=inc * DEGTORAD): return mass_funct2(mp, mc, i) - mf + return zeros.bisect(localmf, 0.0, 1000.0) + def companion_mass_limit(pb, x, mpsr=1.4): """ companion_mass_limit(pb, x, mpsr=1.4): @@ -565,24 +609,27 @@ def companion_mass_limit(pb, x, mpsr=1.4): """ return companion_mass(pb, x, inc=90.0, mpsr=mpsr) + def OMDOT(porb, e, Mp, Mc): """ OMDOT(porb, e, Mp, Mc): Return the predicted advance of periaston (deg/yr) given the orbital period (days), eccentricity, and pulsar and companion masses. """ - return 3.0 * (porb*86400.0/TWOPI)**(-5.0/3.0) * \ - (Tsun*(Mp+Mc))**(2.0/3.0) / (1.0-e**2.0) * \ + return 3.0 * (porb * 86400.0 / TWOPI) ** (-5.0 / 3.0) * \ + (Tsun * (Mp + Mc)) ** (2.0 / 3.0) / (1.0 - e ** 2.0) * \ RADTODEG * SECPERJULYR + def GAMMA(porb, e, Mp, Mc): """ GAMMA(porb, e, Mp, Mc): Return the predicted value of relativistic gamma (sec) given the orbital period (days), eccentricity, and pulsar and companion masses. """ - return e * (porb*86400.0/TWOPI)**(1.0/3.0) * Tsun**(2.0/3.0) * \ - (Mp+Mc)**(-4.0/3.0) * Mc * (Mp+2.0*Mc) + return e * (porb * 86400.0 / TWOPI) ** (1.0 / 3.0) * Tsun ** (2.0 / 3.0) * \ + (Mp + Mc) ** (-4.0 / 3.0) * Mc * (Mp + 2.0 * Mc) + def PBDOT(porb, e, Mp, Mc): """ @@ -590,10 +637,11 @@ def PBDOT(porb, e, Mp, Mc): Return the predicted orbital period derivative (s/s) given the orbital period (s), eccentricity, and pulsar and companion masses. """ - return -192.0*PI/5.0 * (porb*86400.0/TWOPI)**(-5.0/3.0) * \ - (1.0 + 73.0/24.0*e**2.0 + 37.0/96.0*e**4.0) * \ - (1.0-e**2.0)**(-7.0/2.0) * Tsun**(5.0/3.0) * \ - Mp * Mc * (Mp+Mc)**(-1.0/3.0) + return -192.0 * PI / 5.0 * (porb * 86400.0 / TWOPI) ** (-5.0 / 3.0) * \ + (1.0 + 73.0 / 24.0 * e ** 2.0 + 37.0 / 96.0 * e ** 4.0) * \ + (1.0 - e ** 2.0) ** (-7.0 / 2.0) * Tsun ** (5.0 / 3.0) * \ + Mp * Mc * (Mp + Mc) ** (-1.0 / 3.0) + def OMDOT_to_Mtot(OMDOT, porb, e): """ @@ -601,8 +649,9 @@ def OMDOT_to_Mtot(OMDOT, porb, e): Return the total mass (in solar units) of a system given an advance of periastron (OMDOT) in deg/yr. The orbital period should be in days. """ - wd = OMDOT/SECPERJULYR*DEGTORAD # rad/s - return (wd/3.0*(1.0-e*e)*(porb*SECPERDAY/TWOPI)**(5.0/3.0))**(3.0/2.0)/Tsun + wd = OMDOT / SECPERJULYR * DEGTORAD # rad/s + return (wd / 3.0 * (1.0 - e * e) * (porb * SECPERDAY / TWOPI) ** (5.0 / 3.0)) ** (3.0 / 2.0) / Tsun + def GAMMA_to_Mc(gamma, porb, e, Mp): """ @@ -611,10 +660,13 @@ def GAMMA_to_Mc(gamma, porb, e, Mp): the eccentricity and the pulsar mass in solar units, return the predicted companion mass. """ + def funct(mc, mp=Mp, porb=porb, e=e, gamma=gamma): return GAMMA(porb, e, mp, mc) - gamma + return zeros.bisect(funct, 0.01, 20.0) + def shklovskii_effect(pm, D): """ shklovskii_effect(pm, D): @@ -623,9 +675,10 @@ def shklovskii_effect(pm, D): and the distance (D) in kpc. Note: What is returned is a_pm/C, or equivalently, Pdot_pm/P. """ - return (pm/1000.0*ARCSECTORAD/SECPERJULYR)**2.0 * KMPERKPC*D / (C/1000.0) + return (pm / 1000.0 * ARCSECTORAD / SECPERJULYR) ** 2.0 * KMPERKPC * D / (C / 1000.0) + -def galactic_accel_simple(l, b, D, v_o=240.0, R_o = 8.34): +def galactic_accel_simple(l, b, D, v_o=240.0, R_o=8.34): """ galactic_accel_simple(l, b, D, v_o=240.0, R_o = 8.34): Return the approximate projected acceleration/c (in s^-1) @@ -637,12 +690,13 @@ def galactic_accel_simple(l, b, D, v_o=240.0, R_o = 8.34): and D is the distance in kpc. This is eqn 2.4 of Phinney 1992. The default v_o and R_o values are from Reid et al 2014. """ - A_sun = v_o*v_o / (C/1000.0 * R_o*KMPERKPC) - d = D/R_o - cbcl = Num.cos(b*DEGTORAD) * Num.cos(l*DEGTORAD) - return -A_sun * (cbcl + (d - cbcl) / (1.0 + d*d - 2.0*d*cbcl)) + A_sun = v_o * v_o / (C / 1000.0 * R_o * KMPERKPC) + d = D / R_o + cbcl = Num.cos(b * DEGTORAD) * Num.cos(l * DEGTORAD) + return -A_sun * (cbcl + (d - cbcl) / (1.0 + d * d - 2.0 * d * cbcl)) -def galactic_accel(l, b, D, v_o=240.0, R_o = 8.34): + +def galactic_accel(l, b, D, v_o=240.0, R_o=8.34): """ galactic_accel(l, b, D, v_o=240.0, R_o = 8.34): Return the approximate projected acceleration/c (in s^-1) @@ -653,12 +707,13 @@ def galactic_accel(l, b, D, v_o=240.0, R_o = 8.34): and D is the distance in kpc. This is eqn 5 of Nice & Taylor 1995. The default v_o and R_o values are from Reid et al 2014. """ - A_sun = v_o*v_o / (C/1000.0 * R_o*KMPERKPC) - cb = Num.cos(b*DEGTORAD) - cl = Num.cos(l*DEGTORAD) - sl = Num.sin(l*DEGTORAD) - beta = D/R_o * cb - cl - return -A_sun * cb * (cl + beta / (sl**2 + beta**2)) + A_sun = v_o * v_o / (C / 1000.0 * R_o * KMPERKPC) + cb = Num.cos(b * DEGTORAD) + cl = Num.cos(l * DEGTORAD) + sl = Num.sin(l * DEGTORAD) + beta = D / R_o * cb - cl + return -A_sun * cb * (cl + beta / (sl ** 2 + beta ** 2)) + def gal_z_accel(l, b, D): """ @@ -670,11 +725,12 @@ def gal_z_accel(l, b, D): the galactic longitude and latitude (in deg) respectively, and D is the distance in kpc. This is eqn 3+4 of Nice & Taylor 1995. """ - sb = Num.sin(b*DEGTORAD) + sb = Num.sin(b * DEGTORAD) z = D * sb - az = 1.08e-19 * (1.25 * z / Num.sqrt(z**2 + 0.0324) + 0.58 * z) + az = 1.08e-19 * (1.25 * z / Num.sqrt(z ** 2 + 0.0324) + 0.58 * z) return az * sb + def beam_halfwidth(obs_freq, dish_diam): """ beam_halfwidth(obs_freq, dish_diam): @@ -682,7 +738,8 @@ def beam_halfwidth(obs_freq, dish_diam): 'obs_freq' = the observing frqeuency in MHz 'dish_diam' = the telescope diameter in m """ - return 1.2*SOL/(obs_freq*10.0**6)/dish_diam*RADTODEG*60/2 + return 1.2 * SOL / (obs_freq * 10.0 ** 6) / dish_diam * RADTODEG * 60 / 2 + def limiting_flux_dens(Ttot, G, BW, T, P=0.01, W=0.05, polar=2, factor=15.0): """ @@ -704,7 +761,8 @@ def limiting_flux_dens(Ttot, G, BW, T, P=0.01, W=0.05, polar=2, factor=15.0): Parkes Multibeam: Tsys = 21 K, G = 0.735 K/Jy """ w = W * P - return Num.sqrt(w/((P-w)*polar*BW*T))*factor*Ttot/G + return Num.sqrt(w / ((P - w) * polar * BW * T)) * factor * Ttot / G + def dm_info(dm=None, dmstep=1.0, freq=1390.0, numchan=512, chanwidth=0.5): """ @@ -723,20 +781,22 @@ def dm_info(dm=None, dmstep=1.0, freq=1390.0, numchan=512, chanwidth=0.5): print(" Smearing per chan (ms) = %.3g" % \ (1000.0 * dm_smear(dm, chanwidth, freq))) + def best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, chanwidth=0.5): """ best_dm_step(maxsmear=0.1, dt=0.00080, dm=0.0, freq=1390.0, numchan=512, chanwidth=0.5): Return the required DM step to keep the total smearing below 'maxsmear' (in ms). """ BW = chanwidth * numchan - tau_tot = maxsmear/1000.0 + tau_tot = maxsmear / 1000.0 tau_chan = dm_smear(dm, chanwidth, freq) tau_samp = dt - if (tau_tot**2.0 < (tau_chan**2.0+tau_samp**2.0)): + if (tau_tot ** 2.0 < (tau_chan ** 2.0 + tau_samp ** 2.0)): print("The requested total smearing is smaller than one or more of the components.") return 0.0 else: - return 0.0001205*freq**3.0*2.0/BW*Num.sqrt(tau_tot**2.0-tau_chan**2.0-tau_samp**2.0) + return 0.0001205 * freq ** 3.0 * 2.0 / BW * Num.sqrt(tau_tot ** 2.0 - tau_chan ** 2.0 - tau_samp ** 2.0) + def dm_smear(dm, BW, center_freq): """ @@ -746,6 +806,7 @@ def dm_smear(dm, BW, center_freq): """ return dm * BW / (0.0001205 * center_freq * center_freq * center_freq) + def diagonal_DM(dt, chanBW, center_freq): """ diagonal_DM(dt, chanBW, center_freq): @@ -754,6 +815,7 @@ def diagonal_DM(dt, chanBW, center_freq): """ return (0.0001205 * center_freq * center_freq * center_freq) * dt / chanBW + def pulse_broadening(DM, f_ctr): """ pulse_broadening(DM, f_ctr): @@ -762,8 +824,9 @@ def pulse_broadening(DM, f_ctr): 'f_ctr' should be in MHz. The approximate error is 0.65 in log(tau). """ logDM = Num.log10(DM) - return 10.0**(-3.59 + 0.129*logDM + 1.02*logDM**2.0 - - 4.4*Num.log10(f_ctr/1000.0))/1000.0 + return 10.0 ** (-3.59 + 0.129 * logDM + 1.02 * logDM ** 2.0 - + 4.4 * Num.log10(f_ctr / 1000.0)) / 1000.0 + def rrat_period(times, numperiods=20, output=True): """ @@ -775,9 +838,9 @@ def rrat_period(times, numperiods=20, output=True): print some diagnostic information """ ts = Num.asarray(sorted(times)) - ps = (ts[1]-ts[0])/Num.arange(1, numperiods+1) + ps = (ts[1] - ts[0]) / Num.arange(1, numperiods + 1) dts = Num.diff(ts) - xs = dts / ps[:,Num.newaxis] + xs = dts / ps[:, Num.newaxis] metric = Num.sum(Num.fabs((xs - xs.round())), axis=1) pnum = metric.argmin() numrots = xs.round()[pnum].sum() @@ -791,13 +854,15 @@ def rrat_period(times, numperiods=20, output=True): print(dts / p) return p + def guess_DMstep(DM, dt, BW, f_ctr): """ guess_DMstep(DM, dt, BW, f_ctr): Choose a reasonable DMstep by setting the maximum smearing across the 'BW' to equal the sampling time 'dt'. """ - return dt*0.0001205*f_ctr**3.0/(0.5*BW) + return dt * 0.0001205 * f_ctr ** 3.0 / (0.5 * BW) + def delay_from_DM(DM, freq_emitted): """ @@ -805,14 +870,15 @@ def delay_from_DM(DM, freq_emitted): a Dispersion Measure (DM) in cm-3 pc, and the emitted frequency (freq_emitted) of the pulsar in MHz. """ - if (type(freq_emitted)==type(0.0)): + if (type(freq_emitted) == type(0.0)): if (freq_emitted > 0.0): - return DM/(0.000241*freq_emitted*freq_emitted) + return DM / (0.000241 * freq_emitted * freq_emitted) else: return 0.0 else: return Num.where(freq_emitted > 0.0, - DM/(0.000241*freq_emitted*freq_emitted), 0.0) + DM / (0.000241 * freq_emitted * freq_emitted), 0.0) + def delay_from_foffsets(df, dfd, dfdd, times): """ @@ -821,11 +887,12 @@ def delay_from_foffsets(df, dfd, dfdd, times): at the given times in seconds. """ f_delays = df * times - fd_delays = dfd * times**2 / 2.0 - fdd_delays = dfdd * times**3 / 6.0 + fd_delays = dfd * times ** 2 / 2.0 + fdd_delays = dfdd * times ** 3 / 6.0 return (f_delays + fd_delays + fdd_delays) -def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, + +def smear_plot(dm=[1.0, 1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, numchan=512, numsub=32, chanwidth=0.5, dt=0.000125, device='/xwin'): """ @@ -841,7 +908,7 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, maxDMerror = 0.5 * dmstep maxsubDMerror = 0.5 * subdmstep ldms = span(Num.log10(dm[0]), Num.log10(dm[1]), numpts) - dms = 10.0**ldms + dms = 10.0 ** ldms # Smearing from sample rate dts = Num.zeros(numpts) + 1000.0 * dt # Smearing due to the intrinsic channel width @@ -852,21 +919,21 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, # Smearing in each subband due to max DM mismatch subband_smear = Num.zeros(numpts) + \ 1000.0 * dm_smear(maxsubDMerror, subBW, freq) - total_smear = Num.sqrt(dts**2.0 + chan_smear**2.0 + - subband_smear**2.0 + BW_smear**2.0) + total_smear = Num.sqrt(dts ** 2.0 + chan_smear ** 2.0 + + subband_smear ** 2.0 + BW_smear ** 2.0) maxval = Num.log10(2.0 * max(total_smear)) minval = Num.log10(0.5 * min([min(dts), min(chan_smear), - min(BW_smear), min(subband_smear)])) + min(BW_smear), min(subband_smear)])) Pgplot.plotxy(Num.log10(total_smear), ldms, rangey=[minval, maxval], logx=1, logy=1, labx="Dispersion Measure", laby="Smearing (ms)", device=device) ppgplot.pgsch(0.8) - ppgplot.pgmtxt("t", 1.5, 1.0/12.0, 0.5, r"\(2156)\dcenter\u = %gMHz" % freq) - ppgplot.pgmtxt("t", 1.5, 3.0/12.0, 0.5, r"N\dchan\u = %d" % numchan) - ppgplot.pgmtxt("t", 1.5, 5.0/12.0, 0.5, r"N\dsub\u = %d" % numsub) - ppgplot.pgmtxt("t", 1.5, 7.0/12.0, 0.5, r"BW\dchan\u = %gMHz" % chanwidth) - ppgplot.pgmtxt("t", 1.5, 9.0/12.0, 0.5, r"\gDDM = %g" % dmstep) - ppgplot.pgmtxt("t", 1.5, 11.0/12.0, 0.5, r"\gDDM\dsub\u = %g" % subdmstep) + ppgplot.pgmtxt("t", 1.5, 1.0 / 12.0, 0.5, r"\(2156)\dcenter\u = %gMHz" % freq) + ppgplot.pgmtxt("t", 1.5, 3.0 / 12.0, 0.5, r"N\dchan\u = %d" % numchan) + ppgplot.pgmtxt("t", 1.5, 5.0 / 12.0, 0.5, r"N\dsub\u = %d" % numsub) + ppgplot.pgmtxt("t", 1.5, 7.0 / 12.0, 0.5, r"BW\dchan\u = %gMHz" % chanwidth) + ppgplot.pgmtxt("t", 1.5, 9.0 / 12.0, 0.5, r"\gDDM = %g" % dmstep) + ppgplot.pgmtxt("t", 1.5, 11.0 / 12.0, 0.5, r"\gDDM\dsub\u = %g" % subdmstep) ppgplot.pgsch(1.0) ppgplot.pgmtxt("b", -7.5, 0.95, 1.0, "Total") Pgplot.plotxy(Num.log10(dts), ldms, color="green", @@ -885,7 +952,7 @@ def smear_plot(dm=[1.0,1000.0], dmstep=1.0, subdmstep=10.0, freq=1390.0, def search_sensitivity(Ttot, G, BW, chan, freq, T, dm, ddm, dt, Pmin=0.001, - Pmax=1.0, W=0.1, polar=2, factor=15.0, pts=1000): + Pmax=1.0, W=0.1, polar=2, factor=15.0, pts=1000): """ (periods, S_min) = search_sensitivity(Ttot, G, BW, chan, freq, T, dm, ddm, dt, Pmin=0.001, Pmax=1.0, W=0.1, polar=2, factor=15.0, pts=1000): @@ -913,13 +980,14 @@ def search_sensitivity(Ttot, G, BW, chan, freq, T, dm, ddm, dt, Pmin=0.001, Parkes Multibeam: Tsys = 21 K, G = 0.735 K/Jy """ periods = span(Pmin, Pmax, pts) - widths = Num.sqrt((W * periods)**2.0 + - dm_smear(dm, BW/chan, freq)**2.0 + \ - dm_smear(ddm/2.0, BW, freq)**2.0 + \ - dt**2.0) / periods + widths = Num.sqrt((W * periods) ** 2.0 + + dm_smear(dm, BW / chan, freq) ** 2.0 + \ + dm_smear(ddm / 2.0, BW, freq) ** 2.0 + \ + dt ** 2.0) / periods return (periods, limiting_flux_dens(Ttot, G, BW, T, periods, widths, polar=polar, factor=factor)) + def smin_noise(Ttot, G, BW, dt): """ smin_noise(Ttot, G, BW, dt): @@ -935,6 +1003,7 @@ def smin_noise(Ttot, G, BW, dt): """ return Ttot / (G * Num.sqrt(2 * BW * dt)) + def read_profile(filenm, normalize=0): """ read_profile(filenm, normalize=0): @@ -945,14 +1014,17 @@ def read_profile(filenm, normalize=0): """ prof = [] for line in open(filenm): - if line.startswith("#"): continue - else: prof.append(float(line.split()[-1])) + if line.startswith("#"): + continue + else: + prof.append(float(line.split()[-1])) prof = Num.asarray(prof) if normalize: prof -= min(prof) prof /= max(prof) return prof + def calc_phs(MJD, refMJD, *args): """ calc_phs(MJD, refMJD, *args): @@ -961,14 +1033,15 @@ def calc_phs(MJD, refMJD, *args): optional freq derivs (f1...) as ordered in the *args list (e.g. [f0, f1, f2, ...]). """ - t = (MJD-refMJD)*SECPERDAY - n = len(args) # polynomial order + t = (MJD - refMJD) * SECPERDAY + n = len(args) # polynomial order nargs = Num.concatenate(([0.0], args)) taylor_coeffs = Num.concatenate(([0.0], - Num.cumprod(1.0/(Num.arange(float(n))+1.0)))) + Num.cumprod(1.0 / (Num.arange(float(n)) + 1.0)))) p = Num.poly1d((taylor_coeffs * nargs)[::-1]) return Num.fmod(p(t), 1.0) + def calc_freq(MJD, refMJD, *args): """ calc_freq(MJD, refMJD, *args): @@ -977,13 +1050,14 @@ def calc_freq(MJD, refMJD, *args): optional freq derivs (f1...) as ordered in the *args list (e.g. [f0, f1, f2, ...]). """ - t = (MJD-refMJD)*SECPERDAY - n = len(args) # polynomial order + t = (MJD - refMJD) * SECPERDAY + n = len(args) # polynomial order taylor_coeffs = Num.concatenate(([1.0], - Num.cumprod(1.0/(Num.arange(float(n-1))+1.0)))) + Num.cumprod(1.0 / (Num.arange(float(n - 1)) + 1.0)))) p = Num.poly1d((taylor_coeffs * args)[::-1]) return p(t) + def calc_t0(MJD, refMJD, *args): """ calc_t0(MJD, refMJD, *args): @@ -992,9 +1066,10 @@ def calc_t0(MJD, refMJD, *args): """ phs = calc_phs(MJD, refMJD, *args) p = 1.0 / calc_freq(MJD, refMJD, *args) - return MJD - phs*p/SECPERDAY + return MJD - phs * p / SECPERDAY -def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' '*13): + +def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' ' * 13): """ Princeton Format @@ -1007,24 +1082,26 @@ def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' '* 69-78 DM correction (pc cm^-3) """ # Splice together the fractional and integer MJDs - toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] - if dm!=0.0: - print(obs+" %13s %8.3f %s %8.2f %9.4f" % \ + toa = "%5d" % int(toa_MJDi) + ("%.13f" % toa_MJDf)[1:] + if dm != 0.0: + print(obs + " %13s %8.3f %s %8.2f %9.4f" % \ (name, freq, toa, toaerr, dm)) else: - print(obs+" %13s %8.3f %s %8.2f" % \ + print(obs + " %13s %8.3f %s %8.2f" % \ (name, freq, toa, toaerr)) + def write_tempo2_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name='unk', flags=""): """ Write Tempo2 format TOAs. Note that first line of file should be "FORMAT 1" TOA format is "file freq sat satErr siteID " """ - toa = "%5d"%int(toa_MJDi) + ("%.13f"%toa_MJDf)[1:] + toa = "%5d" % int(toa_MJDi) + ("%.13f" % toa_MJDf)[1:] if dm != 0.0: flags += "-dm %.4f" % (dm,) - print("%s %f %s %.2f %s %s" % (name,freq,toa,toaerr,obs,flags)) + print("%s %f %s %.2f %s %s" % (name, freq, toa, toaerr, obs, flags)) + def rotate(arr, bins): """ @@ -1037,6 +1114,7 @@ def rotate(arr, bins): else: return Num.concatenate((arr[bins:], arr[:bins])) + def interp_rotate(arr, bins, zoomfact=10): """ interp_rotate(arr, bins, zoomfact=10): @@ -1045,11 +1123,12 @@ def interp_rotate(arr, bins, zoomfact=10): whole-number of interpolated bins. The resulting vector will have the same length as the oiginal. """ - newlen = len(arr)*zoomfact - rotbins = int(Num.floor(bins*zoomfact+0.5)) % newlen + newlen = len(arr) * zoomfact + rotbins = int(Num.floor(bins * zoomfact + 0.5)) % newlen newarr = sinc_interp.periodic_interp(arr, zoomfact) return rotate(newarr, rotbins)[::zoomfact] + def fft_rotate(arr, bins): """ fft_rotate(arr, bins): @@ -1059,10 +1138,11 @@ def fft_rotate(arr, bins): the same length as the original. """ arr = Num.asarray(arr) - freqs = Num.arange(arr.size/2+1, dtype=Num.float) + freqs = Num.arange(arr.size / 2 + 1, dtype=Num.float) phasor = Num.exp(complex(0.0, TWOPI) * freqs * bins / float(arr.size)) return Num.fft.irfft(phasor * Num.fft.rfft(arr), arr.size) + def corr(profile, template): """ corr(profile, template): @@ -1071,6 +1151,7 @@ def corr(profile, template): return FFT.irfft(FFT.rfft(template) * Num.conjugate(FFT.rfft(profile)), profile.size) + def autocorr(x): """ autocorr(x): @@ -1079,9 +1160,10 @@ def autocorr(x): points are symmetric (corresponding to negative lags). """ fftx = FFT.rfft(x) - acf = FFT.irfft(fftx * Num.conjugate(fftx), x.size)[:len(x)/2+1] + acf = FFT.irfft(fftx * Num.conjugate(fftx), x.size)[:len(x) / 2 + 1] return acf / acf[0] + def maxphase(profile, template): """ maxphase(profile, template): @@ -1090,22 +1172,24 @@ def maxphase(profile, template): """ return float(Num.argmax(corr(profile, template))) / len(profile) + def linear_interpolate(vector, zoom=10): """ linear_interpolate(vector, zoom=10): Linearly interpolate 'vector' by a factor of 'zoom'. """ n = len(vector) - ivect = Num.zeros(zoom*n, dtype='d') + ivect = Num.zeros(zoom * n, dtype='d') nvect = Num.concatenate((vector, vector[:1])) - ivals = Num.arange(zoom, dtype='d')/zoom + ivals = Num.arange(zoom, dtype='d') / zoom loy = nvect[0] for ii in range(n): - hiy = nvect[ii+1] - ivect[ii*zoom:(ii+1)*zoom] = ivals*(hiy-loy) + loy + hiy = nvect[ii + 1] + ivect[ii * zoom:(ii + 1) * zoom] = ivals * (hiy - loy) + loy loy = hiy return ivect + def downsample(vector, factor): """ downsample(vector, factor): @@ -1115,9 +1199,10 @@ def downsample(vector, factor): if (len(vector) % factor): print("Length of 'vector' is not divisible by 'factor'=%d!" % factor) return 0 - newvector = Num.reshape(vector, (len(vector)/factor, factor)) + newvector = Num.reshape(vector, (len(vector) / factor, factor)) return Num.add.reduce(newvector, 1) + def measure_phase_corr(profile, template, zoom=10): """ measure_phase_corr(profile, template, zoom=10): @@ -1127,17 +1212,18 @@ def measure_phase_corr(profile, template, zoom=10): """ zoomprof = zoomtemp = zoom if (len(template) != len(profile)): - if (len(template)%len(profile) == 0): - zoomprof = zoom*len(template)/len(profile) + if (len(template) % len(profile) == 0): + zoomprof = zoom * len(template) / len(profile) else: print("Warning!: The lengths of the template (%d) and profile (%d)" % \ (len(template), len(profile))) print(" are not the same!") - #itemp = linear_interpolate(rotate(template, Num.argmax(template)), zoomtemp) + # itemp = linear_interpolate(rotate(template, Num.argmax(template)), zoomtemp) itemp = linear_interpolate(template, zoomtemp) iprof = linear_interpolate(profile, zoomprof) return maxphase(iprof, itemp) + def spike_profile(N, phase, fwhm): """ spike_profile(N, phase, fwhm): @@ -1151,12 +1237,14 @@ def spike_profile(N, phase, fwhm): peakst = 0.5 - fwhm peakend = 0.5 + fwhm normalize = 1.0 / fwhm + + # TODO: (gijs) bug, mean is not defined if (mean < 0.5): - phsval = Num.where(Num.greater(phsval, mean+0.5), - phsval-1.0, phsval) + phsval = Num.where(Num.greater(phsval, mean + 0.5), + phsval - 1.0, phsval) else: - phsval = Num.where(Num.less(phsval, mean-0.5), - phsval+1.0, phsval) + phsval = Num.where(Num.less(phsval, mean - 0.5), + phsval + 1.0, phsval) return Num.where(Num.less_equal(phsval, 0.5), Num.where(Num.less_equal(phsval, peakst), 0.0, (phsval - peakst) * @@ -1165,6 +1253,7 @@ def spike_profile(N, phase, fwhm): 0.0, (1.0 - (phsval - 0.5) * normalize) * normalize)) + def harm_to_sum(fwhm): """ harm_to_sum(fwhm): @@ -1176,7 +1265,8 @@ def harm_to_sum(fwhm): 0.0180, 0.0191, 0.0199, 0.0207, 0.0220, 0.0228, 0.0242, 0.0257, 0.0273, 0.0295, 0.0313, 0.0338, 0.0366, 0.0396, 0.0437, 0.0482, 0.0542, 0.0622, 0.0714, 0.0836, 0.1037, 0.1313, 0.1799, 0.2883] - return len(fwhms)-bisect.bisect(fwhms, fwhm)+1 + return len(fwhms) - bisect.bisect(fwhms, fwhm) + 1 + def expcos_profile(N, phase, fwhm): """ @@ -1190,10 +1280,11 @@ def expcos_profile(N, phase, fwhm): from simple_roots import secant def fwhm_func(k, fwhm=fwhm): if (fwhm < 0.02): - return Num.arccos(1.0-Num.log(2.0)/k)/PI-fwhm + return Num.arccos(1.0 - Num.log(2.0) / k) / PI - fwhm else: - return Num.arccos(Num.log(0.5*(Num.exp(k)+ - Num.exp(-k)))/k)/PI-fwhm + return Num.arccos(Num.log(0.5 * (Num.exp(k) + + Num.exp(-k))) / k) / PI - fwhm + phsval = TWOPI * Num.arange(N, dtype='d') / float(N) phi = -phase * TWOPI if (fwhm >= 0.5): @@ -1205,10 +1296,10 @@ def fwhm_func(k, fwhm=fwhm): phsval = Num.fmod(phsval + phi, TWOPI) phsval = Num.where(Num.greater(phsval, PI), phsval - TWOPI, phsval) - denom = ((1 + 1/(8*k) + 9/(128*k*k) + 75/(1024*k**3) + - 3675/(32768*k**4) + 59535/(262144*k**5)) / Num.sqrt(TWOPI*k)) - return Num.where(Num.greater(Num.fabs(phsval/TWOPI), 3.0*fwhm), 0.0, - Num.exp(k*(Num.cos(phsval)-1.0))/denom) + denom = ((1 + 1 / (8 * k) + 9 / (128 * k * k) + 75 / (1024 * k ** 3) + + 3675 / (32768 * k ** 4) + 59535 / (262144 * k ** 5)) / Num.sqrt(TWOPI * k)) + return Num.where(Num.greater(Num.fabs(phsval / TWOPI), 3.0 * fwhm), 0.0, + Num.exp(k * (Num.cos(phsval) - 1.0)) / denom) else: k = secant(fwhm_func, 1e-8, 0.5) norm = 1.0 / (i0(k) - Num.exp(-k)) @@ -1223,6 +1314,7 @@ def fwhm_func(k, fwhm=fwhm): return norm * (Num.exp(k * Num.cos(phsval + phi)) - Num.exp(-k)) + def read_gaussfitfile(gaussfitfile, proflen): """ read_gaussfitfile(gaussfitfile, proflen): @@ -1242,7 +1334,7 @@ def read_gaussfitfile(gaussfitfile, proflen): if line.lstrip().startswith("fwhm"): fwhms.append(float(line.split()[2])) if not (len(phass) == len(ampls) == len(fwhms)): - print("Number of phases, amplitudes, and FWHMs are not the same in '%s'!"%gaussfitfile) + print("Number of phases, amplitudes, and FWHMs are not the same in '%s'!" % gaussfitfile) return 0.0 phass = Num.asarray(phass) ampls = Num.asarray(ampls) @@ -1255,12 +1347,13 @@ def read_gaussfitfile(gaussfitfile, proflen): fwhms = Num.take(fwhms, new_order) # Now put the biggest gaussian at phase = 0.0 phass = phass - phass[0] - phass = Num.where(phass<0.0, phass+1.0, phass) + phass = Num.where(phass < 0.0, phass + 1.0, phass) template = Num.zeros(proflen, dtype='d') for ii in range(len(ampls)): - template += ampls[ii]*gaussian_profile(proflen, phass[ii], fwhms[ii]) + template += ampls[ii] * gaussian_profile(proflen, phass[ii], fwhms[ii]) return template + def gaussian_profile(N, phase, fwhm): """ gaussian_profile(N, phase, fwhm): @@ -1272,15 +1365,16 @@ def gaussian_profile(N, phase, fwhm): Note: The FWHM of a gaussian is approx 2.35482 sigma """ sigma = fwhm / 2.35482 - mean = phase % 1.0 # Ensures between 0-1 + mean = phase % 1.0 # Ensures between 0-1 phss = Num.arange(N, dtype=Num.float64) / N - mean # Following two lines allow the Gaussian to wrap in phase phss[phss > 0.5] -= 1.0 phss[phss < -0.5] += 1.0 zs = Num.fabs(phss) / sigma # The following avoids overflow by truncating the Gaussian at 20 sigma - return Num.where(zs<20.0, Num.exp(-0.5 * zs**2.0) / \ - (sigma * Num.sqrt(2*Num.pi)), 0.0) + return Num.where(zs < 20.0, Num.exp(-0.5 * zs ** 2.0) / \ + (sigma * Num.sqrt(2 * Num.pi)), 0.0) + def gauss_profile_params(profile, output=0): """ @@ -1297,11 +1391,13 @@ def gauss_profile_params(profile, output=0): the return values will be printed. """ profile = Num.asarray(profile) + def funct(afpo, profile): return afpo[0] * gaussian_profile(len(profile), afpo[2], afpo[1]) \ + afpo[3] - profile - ret = leastsq(funct, [profile.max()-profile.min(), - 0.25, profile.argmax()/float(len(profile)), + + ret = leastsq(funct, [profile.max() - profile.min(), + 0.25, profile.argmax() / float(len(profile)), profile.min()], args=(profile)) if (output): phases = Num.arange(0.0, 1.0, @@ -1338,6 +1434,7 @@ def funct(afpo, profile): print("") return (ret[0][0], ret[0][1], ret[0][2], ret[0][3], resid_avg, resid_std) + def twogauss_profile_params(profile, output=0): """ twogauss_profile_params(profile, output=0): @@ -1355,21 +1452,24 @@ def twogauss_profile_params(profile, output=0): If 'output' is true, the fit will be plotted and the return values will be printed. """ + def yfunct(afpo, n): return afpo[0] * gaussian_profile(n, afpo[2], afpo[1]) + \ afpo[3] * gaussian_profile(n, afpo[5], afpo[4]) + afpo[6] + def min_funct(afpo, profile): return yfunct(afpo, len(profile)) - profile - ret = leastsq(min_funct, [max(profile)-min(profile), + + ret = leastsq(min_funct, [max(profile) - min(profile), 0.05, - Num.argmax(profile)/float(len(profile)), - 0.2 * max(profile)-min(profile), + Num.argmax(profile) / float(len(profile)), + 0.2 * max(profile) - min(profile), 0.1, - Num.fmod(Num.argmax(profile)/float(len(profile))+0.5, 1.0), + Num.fmod(Num.argmax(profile) / float(len(profile)) + 0.5, 1.0), min(profile)], args=(profile)) if (output): phases = Num.arange(0.0, 1.0, - 1.0 / len(profile)) + 0.5 / len(profile) + 1.0 / len(profile)) + 0.5 / len(profile) Pgplot.plotxy(profile, phases, rangex=[0.0, 1.0], labx='Pulse Phase', laby='Pulse Intensity') bestfit = yfunct(ret[0], len(profile)) @@ -1405,8 +1505,6 @@ def min_funct(afpo, profile): ret[0][5], ret[0][6], resid_avg, resid_std) - - def estimate_flux_density(profile, N, dt, Ttot, G, BW, prof_stdev, display=0): """ estimate_flux_density(profile, N, dt, Ttot, G, BW, prof_stdev, display=0): @@ -1423,12 +1521,13 @@ def estimate_flux_density(profile, N, dt, Ttot, G, BW, prof_stdev, display=0): Parkes Multibeam: Tsys = 21 K, G = 0.735 K/Jy """ (amp, fwhm, phase, offset, resid_avg, resid_std) = \ - gauss_profile_params(profile, display) + gauss_profile_params(profile, display) T = N * dt norm_fact = (prof_stdev * len(profile)) / \ - smin_noise(Ttot, G, BW, T / len(profile)) + smin_noise(Ttot, G, BW, T / len(profile)) return Num.add.reduce(profile - offset) / norm_fact + def max_spike_power(FWHM): """ max_spike_power(FWHM): @@ -1445,7 +1544,8 @@ def max_spike_power(FWHM): (0.0 < FWHM <= 0.5) """ return ((36.4165309504 * FWHM - 32.0107844537) * FWHM \ - + 0.239948319674) * FWHM + 4.00277916584 + + 0.239948319674) * FWHM + 4.00277916584 + def num_spike_powers(FWHM): """ @@ -1461,16 +1561,18 @@ def num_spike_powers(FWHM): 'FWHM' is the full width at half-max of the spike. (0.0 < FWHM <= 0.5) """ - return -3.95499721563e-05 / FWHM**2 + 0.562069634689 / FWHM - \ + return -3.95499721563e-05 / FWHM ** 2 + 0.562069634689 / FWHM - \ 0.683604041138 + def incoherent_sum(amps): """ incoherent_sum(amps): Given a series of complex Fourier amplitudes, return a vector showing the accumulated incoherently-summed powers. """ - return Num.add.accumulate(Num.absolute(amps)**2.0) + return Num.add.accumulate(Num.absolute(amps) ** 2.0) + def coherent_sum(amps): """ @@ -1480,9 +1582,10 @@ def coherent_sum(amps): """ phss = Num.arctan2(amps.imag, amps.real) phs0 = phss[0] - phscorr = phs0 - Num.fmod((Num.arange(len(amps), dtype='d')+1.0)*phs0, TWOPI) - sumamps = Num.add.accumulate(amps*Num.exp(complex(0.0, 1.0)*phscorr)) - return Num.absolute(sumamps)**2.0 + phscorr = phs0 - Num.fmod((Num.arange(len(amps), dtype='d') + 1.0) * phs0, TWOPI) + sumamps = Num.add.accumulate(amps * Num.exp(complex(0.0, 1.0) * phscorr)) + return Num.absolute(sumamps) ** 2.0 + def dft_vector_response(roff, z=0.0, w=0.0, phs=0.0, N=1000): """ @@ -1493,12 +1596,13 @@ def dft_vector_response(roff, z=0.0, w=0.0, phs=0.0, N=1000): signal freq), average Fourier f-dot, z, and Fourier 2nd deriv, w. An optional phase in radians can be added. """ - r0 = roff - 0.5 * z + w / 12.0 # Make symmetric for all z and w + r0 = roff - 0.5 * z + w / 12.0 # Make symmetric for all z and w z0 = z - 0.5 * w us = Num.linspace(0.0, 1.0, N) - phss = 2.0 * Num.pi * (us * (us * (us * w/6.0 + z0/2.0) + r0) + phs) + phss = 2.0 * Num.pi * (us * (us * (us * w / 6.0 + z0 / 2.0) + r0) + phs) return Num.cumsum(Num.exp(Num.complex(0.0, 1.0) * phss)) / N + def prob_power(power): """ prob_power(power): @@ -1507,6 +1611,7 @@ def prob_power(power): """ return Num.exp(-power) + def Ftest(chi2_1, dof_1, chi2_2, dof_2): """ Ftest(chi2_1, dof_1, chi2_2, dof_2): @@ -1528,6 +1633,7 @@ def Ftest(chi2_1, dof_1, chi2_2, dof_2): F = (delta_chi2 / delta_dof) / new_redchi2 return 1.0 - fdtr(delta_dof, dof_2, F) + def equivalent_gaussian_sigma(p): """ equivalent_gaussian_sigma(p): @@ -1543,10 +1649,11 @@ def equivalent_gaussian_sigma(p): else: return extended_equiv_gaussian_sigma(logp) else: # Array input - return Num.where(logp>-30.0, - ndtri(1.0-p), + return Num.where(logp > -30.0, + ndtri(1.0 - p), extended_equiv_gaussian_sigma(logp)) + def extended_equiv_gaussian_sigma(logp): """ extended_equiv_gaussian_sigma(logp): @@ -1563,6 +1670,7 @@ def extended_equiv_gaussian_sigma(logp): denom = 1.0 + t * (1.432788 + t * (0.189269 + t * 0.001308)) return t - num / denom + def log_asymtotic_incomplete_gamma(a, z): """ log_asymtotic_incomplete_gamma(a, z): @@ -1576,10 +1684,11 @@ def log_asymtotic_incomplete_gamma(a, z): ii = 1 while (Num.fabs(newxpart) > 1e-15): term *= (a - ii) - newxpart = term / z**ii + newxpart = term / z ** ii x += newxpart ii += 1 - return (a-1.0)*Num.log(z) - z + Num.log(x) + return (a - 1.0) * Num.log(z) - z + Num.log(x) + def log_asymtotic_gamma(z): """ @@ -1587,14 +1696,15 @@ def log_asymtotic_gamma(z): Return the log of the gamma function in its asymtotic limit as z->infty. This is from Abramowitz and Stegun eqn 6.1.41. """ - x = (z-0.5) * Num.log(z) - z + 0.91893853320467267 - y = 1.0/(z*z) + x = (z - 0.5) * Num.log(z) - z + 0.91893853320467267 + y = 1.0 / (z * z) x += (((- 5.9523809523809529e-4 * y + 7.9365079365079365079365e-4) * y - - 2.7777777777777777777778e-3) * y - + 8.3333333333333333333333e-2) / z; + - 2.7777777777777777777778e-3) * y + + 8.3333333333333333333333e-2) / z; return x + def prob_sum_powers(power, nsum): """ prob_sum_powers(power, nsum): @@ -1609,7 +1719,8 @@ def prob_sum_powers(power, nsum): # = Q(power*2|nsum*2) (from A&S 26.4.19) # = Gamma(nsum,power)/Gamma(nsum) # = [Gamma(nsum) - gamma(nsum,power)]/Gamma(nsum) - return chdtrc(2*nsum, 2.0*power) + return chdtrc(2 * nsum, 2.0 * power) + def log_prob_sum_powers(power, nsum): """ @@ -1640,6 +1751,7 @@ def log_prob_sum_powers(power, nsum): log_asymtotic_incomplete_gamma(nsum, power) - \ log_asymtotic_gamma(nsum)) + def sigma_power(power): """ sigma_power(power): @@ -1657,6 +1769,7 @@ def sigma_power(power): Num.sqrt(2.0 * power - Num.log(PI * power)), extended_equiv_gaussian_sigma(log_prob_sum_powers(power, 1))) + def sigma_sum_powers(power, nsum): """ sigma_sum_powers(power, nsum): @@ -1669,19 +1782,22 @@ def sigma_sum_powers(power, nsum): return equivalent_gaussian_sigma(prob_sum_powers(power, nsum)) else: return extended_equiv_gaussian_sigma(log_prob_sum_powers(power, nsum)) - else: # Array input + else: # Array input return Num.where(power < 100.0, equivalent_gaussian_sigma(prob_sum_powers(power, nsum)), extended_equiv_gaussian_sigma(log_prob_sum_powers(power, nsum))) + def power_at_sigma(sigma): """ power_at_sigma(sigma): Return the approximate normalized power level that is equivalent to a detection of significance 'sigma'. """ - return sigma**2 / 2.0 + Num.log(Num.sqrt(PIBYTWO) + return sigma ** 2 / 2.0 + Num.log(Num.sqrt(PIBYTWO) * sigma) + + def powersum_at_sigma(sigma, nsum): """ powersum_at_sigma(sigma, nsum): @@ -1690,6 +1806,7 @@ def powersum_at_sigma(sigma, nsum): """ return 0.5 * chdtri(2.0 * nsum, 1.0 - ndtr(sigma)) + def cand_sigma(N, power): """ cand_sigma(N, power): @@ -1699,6 +1816,7 @@ def cand_sigma(N, power): """ return ndtri(1.0 - N * prob_power(power)) + def fft_max_pulsed_frac(N, numphot, sigma=3.0): """ fft_max_pulsed_frac(N, numphot, sigma=3.0): @@ -1712,26 +1830,28 @@ def fft_max_pulsed_frac(N, numphot, sigma=3.0): # The following is the power level required to get a # noise spike that would appear somewhere in N bins # at the 'sigma' level - power_required = -Num.log((1.0-ndtr(sigma))/N) - return Num.sqrt(4.0 * numphot * power_required)/N + power_required = -Num.log((1.0 - ndtr(sigma)) / N) + return Num.sqrt(4.0 * numphot * power_required) / N + def p_to_f(p, pd, pdd=None): - """ - p_to_f(p, pd, pdd=None): - Convert period, period derivative and period second - derivative to the equivalent frequency counterparts. - Will also convert from f to p. - """ - f = 1.0 / p - fd = -pd / (p * p) - if (pdd is None): - return [f, fd] - else: - if (pdd==0.0): - fdd = 0.0 - else: - fdd = 2.0 * pd * pd / (p**3.0) - pdd / (p * p) - return [f, fd, fdd] + """ + p_to_f(p, pd, pdd=None): + Convert period, period derivative and period second + derivative to the equivalent frequency counterparts. + Will also convert from f to p. + """ + f = 1.0 / p + fd = -pd / (p * p) + if (pdd is None): + return [f, fd] + else: + if (pdd == 0.0): + fdd = 0.0 + else: + fdd = 2.0 * pd * pd / (p ** 3.0) - pdd / (p * p) + return [f, fd, fdd] + def pferrs(porf, porferr, pdorfd=None, pdorfderr=None): """ @@ -1740,14 +1860,15 @@ def pferrs(porf, porferr, pdorfd=None, pdorfderr=None): the pdot or fdot errors from the opposite one. """ if (pdorfd is None): - return [1.0 / porf, porferr / porf**2.0] + return [1.0 / porf, porferr / porf ** 2.0] else: - forperr = porferr / porf**2.0 - fdorpderr = Num.sqrt((4.0 * pdorfd**2.0 * porferr**2.0) / porf**6.0 + - pdorfderr**2.0 / porf**4.0) + forperr = porferr / porf ** 2.0 + fdorpderr = Num.sqrt((4.0 * pdorfd ** 2.0 * porferr ** 2.0) / porf ** 6.0 + + pdorfderr ** 2.0 / porf ** 4.0) [forp, fdorpd] = p_to_f(porf, pdorfd) return [forp, forperr, fdorpd, fdorpderr] + def pdot_from_B(p, B): """ pdot_from_B(p, B): @@ -1755,7 +1876,8 @@ def pdot_from_B(p, B): period (or pdot) 'p' (in sec) would experience given a magnetic field strength 'B' in gauss. """ - return (B / 3.2e19)**2.0 / p + return (B / 3.2e19) ** 2.0 / p + def pdot_from_age(p, age): """ @@ -1765,6 +1887,7 @@ def pdot_from_age(p, age): """ return p / (2.0 * age * SECPERJULYR) + def pdot_from_edot(p, edot, I=1.0e45): """ pdot_from_edot(p, edot, I=1.0e45): @@ -1772,7 +1895,8 @@ def pdot_from_edot(p, edot, I=1.0e45): would experience given an Edot 'edot' (in ergs/s) and a moment of inertia I. """ - return (p**3.0 * edot) / (4.0 * PI * PI * I) + return (p ** 3.0 * edot) / (4.0 * PI * PI * I) + def pulsar_age(f, fdot, n=3, fo=1e99): """ @@ -1782,7 +1906,8 @@ def pulsar_age(f, fdot, n=3, fo=1e99): is returned (assuming a braking index 'n'=3 and an initial spin freqquency fo >> f). But 'n' and 'fo' can be set. """ - return -f / ((n-1.0) * fdot) * (1.0 - (f / fo)**(n-1.0)) / SECPERJULYR + return -f / ((n - 1.0) * fdot) * (1.0 - (f / fo) ** (n - 1.0)) / SECPERJULYR + def pulsar_edot(f, fdot, I=1.0e45): """ @@ -1793,13 +1918,15 @@ def pulsar_edot(f, fdot, I=1.0e45): """ return -4.0 * PI * PI * I * f * fdot + def pulsar_B(f, fdot): """ pulsar_B(f, fdot): Return the estimated pulsar surface magnetic field strength (in Gauss) given the spin frequency and frequency derivative. """ - return 3.2e19 * Num.sqrt(-fdot/f**3.0) + return 3.2e19 * Num.sqrt(-fdot / f ** 3.0) + def pulsar_B_lightcyl(f, fdot): """ @@ -1809,7 +1936,8 @@ def pulsar_B_lightcyl(f, fdot): frequency derivative. """ p, pd = p_to_f(f, fdot) - return 2.9e8 * p**(-5.0/2.0) * Num.sqrt(pd) + return 2.9e8 * p ** (-5.0 / 2.0) * Num.sqrt(pd) + def psr_info(porf, pdorfd, time=None, input=None, I=1e45): """ @@ -1822,8 +1950,8 @@ def psr_info(porf, pdorfd, time=None, input=None, I=1e45): (duration of an observation) it will also return the Fourier frequency 'r' and Fourier fdot 'z'. I is the NS moment of inertia. """ - if ((input==None and porf > 1.0) or - (input=='f' or input=='F')): + if ((input == None and porf > 1.0) or + (input == 'f' or input == 'F')): pdorfd = - pdorfd / (porf * porf) porf = 1.0 / porf [f, fd] = p_to_f(porf, pdorfd) @@ -1841,6 +1969,7 @@ def psr_info(porf, pdorfd, time=None, input=None, I=1e45): print(" Assumed I = %g g cm^2" % I) print("") + def doppler(freq_observed, voverc): """doppler(freq_observed, voverc): This routine returns the frequency emitted by a pulsar diff --git a/python/presto/pypsrcat.py b/python/presto/pypsrcat.py index dbc381683..e6ff46e17 100644 --- a/python/presto/pypsrcat.py +++ b/python/presto/pypsrcat.py @@ -1,9 +1,13 @@ from __future__ import print_function -from builtins import map, object +from builtins import object from operator import attrgetter +import struct +import os.path +import math +import csv import astropy.coordinates as c import astropy.units as u -import struct, os, os.path, presto, psr_utils, math, csv +from presto import presto, psr_utils ## The most recent catalogs are available here: ## diff --git a/python/presto/residuals.py b/python/presto/residuals.py index 69ae4c720..f0e60e7fe 100644 --- a/python/presto/residuals.py +++ b/python/presto/residuals.py @@ -1,6 +1,9 @@ from __future__ import print_function from builtins import range from builtins import object +import struct +import numpy as Num + # # From the TEMPO Documentation: # @@ -15,8 +18,7 @@ # --Timing uncertainty (according to input file) # --Prefit residual (seconds) # -import struct -import numpy as Num + class residuals(object): pass diff --git a/python/presto/rfifind.py b/python/presto/rfifind.py index dbeb3dff3..2fb1f35e4 100644 --- a/python/presto/rfifind.py +++ b/python/presto/rfifind.py @@ -3,9 +3,9 @@ from builtins import range from builtins import object import numpy as np -import infodata from scipy.signal import medfilt -from Pgplot import * +from presto import infodata +from presto.Pgplot import * """ class rfifind: @@ -81,14 +81,14 @@ def read_mask(self): self.mask_zap_chans = np.asarray([]) self.mask_zap_chans = set(self.mask_zap_chans) if len(self.mask_zap_chans)==self.nchan: - print "WARNING!: All channels recommended for masking!" + print("WARNING!: All channels recommended for masking!") nzap = np.fromfile(x, dtype=np.int32, count=1)[0] if nzap: self.mask_zap_ints = np.fromfile(x, dtype=np.int32, count=nzap) else: self.mask_zap_ints = np.asarray([]) if len(self.mask_zap_ints)==self.nint: - print "WARNING!: All intervals recommended for masking!" + print("WARNING!: All intervals recommended for masking!") nzap_per_int = np.fromfile(x, dtype=np.int32, count=nint) self.mask_zap_chans_per_int = [] for nzap in nzap_per_int: @@ -112,7 +112,7 @@ def get_bandpass(self, plot=False): goodints = np.asarray(list(goodints)) self.goodints = goodints if not len(goodints): - print "WARNING!: Cannot get bandpass because all intervals zapped." + print("WARNING!: Cannot get bandpass because all intervals zapped.") return 0.0 self.bandpass_avg = self.avg_stats[goodints,:].mean(0) self.bandpass_std = self.std_stats[goodints,:].mean(0) @@ -242,7 +242,7 @@ def plot_zapped_bandpass(self, device="/xwin"): line=None, symbol=16, color='red') closeplot() else: - print "WARNING!: All channels recommended for masking!" + print("WARNING!: All channels recommended for masking!") def write_zap_chans(self, filename=None): if filename is None: @@ -267,7 +267,7 @@ def set_weights_and_offsets(self): self.weights[self.zap_chans] = 0.0 self.offsets = self.bandpass_avg else: - print "WARNING!: All channels recommended for masking!" + print("WARNING!: All channels recommended for masking!") def write_weights_and_offsets(self, filename=None, invertband=False): if filename is None: diff --git a/python/presto/sifting.py b/python/presto/sifting.py index 1dcec088a..816c0dcc5 100644 --- a/python/presto/sifting.py +++ b/python/presto/sifting.py @@ -1,13 +1,15 @@ #!/usr/bin/env python from __future__ import print_function from builtins import zip, str, range, object -from operator import itemgetter, attrgetter +from operator import attrgetter import sys, re, os, copy import numpy as np import matplotlib import matplotlib.pyplot as plt - -from presto import candidate_sigma +import os.path +import glob +from presto import infodata +from presto.presto import candidate_sigma # Note: the following are global variables that can # (and should) be set in whatever module @@ -1214,9 +1216,7 @@ def sift_directory(dir, outbasenm): Outputs: None """ - import os.path - import glob - import infodata + # TODO: Remove hard-coded values in this function # replace with command line options. diff --git a/python/presto/sigproc.py b/python/presto/sigproc.py index 2794ece23..0bd9c9189 100755 --- a/python/presto/sigproc.py +++ b/python/presto/sigproc.py @@ -6,7 +6,7 @@ import sys import math import warnings -from psr_constants import ARCSECTORAD +from presto.psr_constants import ARCSECTORAD telescope_ids = {"Fake": 0, "Arecibo": 1, "ARECIBO 305m": 1, "Ooty": 2, "Nancay": 3, "Parkes": 4, "Jodrell": 5, diff --git a/python/presto/sinc_interp.py b/python/presto/sinc_interp.py index 42405476e..91ef6492d 100644 --- a/python/presto/sinc_interp.py +++ b/python/presto/sinc_interp.py @@ -1,6 +1,5 @@ from __future__ import print_function import numpy as Num -import scipy.special import numpy.fft as FFT def sinc(xs): @@ -27,6 +26,7 @@ def kaiser_window(xs, halfwidth, alpha): 6 Similar to Hanning window 8.6 Almost identical to the Blackman window """ + # TODO: (gijs) bug, i0 not defined win = i0(alpha*Num.sqrt(1.0-(xs/halfwidth)**2.0))/i0(alpha) return Num.where(Num.fabs(xs)<=halfwidth, win, 0.0) @@ -138,10 +138,9 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): if __name__=='__main__': - from psr_utils import * - from Pgplot import * + from presto.psr_utils import * + from presto.Pgplot import * from numpy.random import normal - from scipy import interpolate # from spline import * fwhm = 0.01 diff --git a/python/presto/spectra.py b/python/presto/spectra.py index 83dd27686..a028a9bad 100644 --- a/python/presto/spectra.py +++ b/python/presto/spectra.py @@ -5,7 +5,7 @@ import numpy as np import scipy.signal -import psr_utils +from presto import psr_utils class Spectra(object): """A class to store spectra. This is mainly to provide diff --git a/python/presto_src/__init__.py b/python/presto_src/__init__.py index 5d11cd432..ce6f0b544 100644 --- a/python/presto_src/__init__.py +++ b/python/presto_src/__init__.py @@ -5,8 +5,9 @@ from .prestoswig import * import os.path import numpy as np -import Pgplot -import psr_utils +from presto import Pgplot +from presto import psr_utils + def val_with_err(value, error, length=0, digits=2, latex=0): """ @@ -24,45 +25,48 @@ def val_with_err(value, error, length=0, digits=2, latex=0): If latex=1, the string is converted into LaTeX markup. """ slen = 40 - outstr = ' '*slen + outstr = ' ' * slen if abs(length) > slen: slen = abs(length) - if digits==2: + if digits == 2: slen = nice_output_2(outstr, value, error, length) else: slen = nice_output_1(outstr, value, error, length) - outstr = outstr[:slen].strip() # remove null termination and any space + outstr = outstr[:slen].strip() # remove null termination and any space if length < 0: - outstr = outstr + (20-len(outstr))*' ' + outstr = outstr + (20 - len(outstr)) * ' ' if length > 0: - outstr = (20-len(outstr))*' ' + outstr + outstr = (20 - len(outstr)) * ' ' + outstr if latex: if outstr.find("x10") > 0: - outstr = outstr.replace("x10^", r"$\times$10$^{")+"}$" + outstr = outstr.replace("x10^", r"$\times$10$^{") + "}$" return outstr + def read_inffile(filename, verbose=True): """ read_inffile(filename, verbose=True): Return an infodata 'C' structure containing the data from the 'inf' file in 'filename'. """ - fname = filename[:-4] if (filename[-4:]==".inf") else filename + fname = filename[:-4] if (filename[-4:] == ".inf") else filename id = infodata() if verbose: - print("Reading information from", "\""+fname+".inf\"") + print("Reading information from", "\"" + fname + ".inf\"") readinf(id, fname) return id + def write_inffile(infodata, verbose=True): """ wite_inffile(infodata, verbose=True): Write an '.inf' file based on its input structure """ if verbose: - print("Writing .inf file to '%s.inf'"%infodata.name) + print("Writing .inf file to '%s.inf'" % infodata.name) writeinf(infodata) + def psrepoch(psrname, epoch, verbose=True): """ psrepoch(psrname or parname, epoch): @@ -84,6 +88,7 @@ def psrepoch(psrname, epoch, verbose=True): print('The pulsar was #%d in the database.' % num) return pp + def read_rzwcands(filename): """ read_rzwcands(filename): @@ -99,6 +104,7 @@ def read_rzwcands(filename): infile.close() return cands + def read_rawbincands(filename): """ read_rawbincands(filename): @@ -114,6 +120,7 @@ def read_rawbincands(filename): infile.close() return cands + def next2_to_n(x): """ next2_to_n(x): @@ -123,6 +130,7 @@ def next2_to_n(x): while (i < x): i = i << 1 return i + def rfft(data, sign=-1): """ rfft(data, sign=-1): @@ -143,13 +151,15 @@ def rfft(data, sign=-1): realfft(tmp, 1) return tmp.view(np.float32) + def spectralpower(fftarray): """ spectralpower(fftarray): Return the power spectrum of a complex FFT 'fftarray'. """ return power_arr(np.asarray(fftarray).astype(np.complex64)) - + + def spectralphase(fftarray): """ spectralphase(fftarray): @@ -157,6 +167,7 @@ def spectralphase(fftarray): """ return phase_arr(np.asarray(fftarray).astype(np.complex64)) + def rzw_response(roffset, z, w, numbetween=1, numkern=None): """ rzw_response(roffset, z, w, numbetween=1, numkern=None): @@ -171,7 +182,8 @@ def rzw_response(roffset, z, w, numbetween=1, numkern=None): numkern = w_resp_halfwidth(z, w, LOWACC) return gen_w_response(roffset, numbetween, numkern, z, w) -def maximize_r(data, r, norm = None): + +def maximize_r(data, r, norm=None): """ maximize_r(data, r, norm = None): Optimize the detection of a signal at Fourier frequency 'r' in @@ -184,7 +196,8 @@ def maximize_r(data, r, norm = None): maxpow = maxpow / rd.locpow if norm is None else maxpow / norm return [maxpow, rmax, rd] -def maximize_rz(data, r, z, norm = None): + +def maximize_rz(data, r, z, norm=None): """ maximize_rz(data, r, z, norm = None): Optimize the detection of a signal at location 'r', 'z' in @@ -197,7 +210,8 @@ def maximize_rz(data, r, z, norm = None): maxpow = maxpow / rd.locpow if norm is None else maxpow / norm return [maxpow, rmax, zmax, rd] -def maximize_rz_harmonics(data, r, z, numharm, norm = None): + +def maximize_rz_harmonics(data, r, z, numharm, norm=None): """ maximize_rz_harmonics(data, r, z, numharm, norm = None): Optimize the detection of a signal at location 'r', 'z' in @@ -211,17 +225,18 @@ def maximize_rz_harmonics(data, r, z, numharm, norm = None): rmax, zmax = max_rz_arr_harmonics(data, r, z, derivdata) maxpow = 0.0 for ii in range(numharm): - rds[ii].pow = derivdata[ii*7+0] - rds[ii].phs = derivdata[ii*7+1] - rds[ii].dpow = derivdata[ii*7+2] - rds[ii].dphs = derivdata[ii*7+3] - rds[ii].d2pow = derivdata[ii*7+4] - rds[ii].d2phs = derivdata[ii*7+5] - rds[ii].locpow = derivdata[ii*7+6] + rds[ii].pow = derivdata[ii * 7 + 0] + rds[ii].phs = derivdata[ii * 7 + 1] + rds[ii].dpow = derivdata[ii * 7 + 2] + rds[ii].dphs = derivdata[ii * 7 + 3] + rds[ii].d2pow = derivdata[ii * 7 + 4] + rds[ii].d2phs = derivdata[ii * 7 + 5] + rds[ii].locpow = derivdata[ii * 7 + 6] maxpow += rds[ii].pow / rds[ii].locpow if norm is None else rds[ii].pow / norm return [maxpow, rmax, zmax, rds] -def maximize_rzw(data, r, z, w, norm = None): + +def maximize_rzw(data, r, z, w, norm=None): """ maximize_rzw(data, r, z, w, norm = None): Optimize the detection of a signal at location 'r', 'z', 'w' in @@ -234,7 +249,8 @@ def maximize_rzw(data, r, z, w, norm = None): maxpow = maxpow / rd.locpow if norm is None else maxpow / norm return [maxpow, rmax, zmax, wmax, rd] -def maximize_rzw_harmonics(data, r, z, w, numharm, norm = None): + +def maximize_rzw_harmonics(data, r, z, w, numharm, norm=None): """ maximize_rzw_harmonics(data, r, z, w, numharm, norm = None): Optimize the detection of a signal at location 'r', 'z', 'w' in @@ -248,16 +264,17 @@ def maximize_rzw_harmonics(data, r, z, w, numharm, norm = None): rmax, zmax, wmax = max_rzw_arr_harmonics(data, r, z, w, derivdata) maxpow = 0.0 for ii in range(numharm): - rds[ii].pow = derivdata[ii*7+0] - rds[ii].phs = derivdata[ii*7+1] - rds[ii].dpow = derivdata[ii*7+2] - rds[ii].dphs = derivdata[ii*7+3] - rds[ii].d2pow = derivdata[ii*7+4] - rds[ii].d2phs = derivdata[ii*7+5] - rds[ii].locpow = derivdata[ii*7+6] + rds[ii].pow = derivdata[ii * 7 + 0] + rds[ii].phs = derivdata[ii * 7 + 1] + rds[ii].dpow = derivdata[ii * 7 + 2] + rds[ii].dphs = derivdata[ii * 7 + 3] + rds[ii].d2pow = derivdata[ii * 7 + 4] + rds[ii].d2phs = derivdata[ii * 7 + 5] + rds[ii].locpow = derivdata[ii * 7 + 6] maxpow += rds[ii].pow / rds[ii].locpow if norm is None else rds[ii].pow / norm return [maxpow, rmax, zmax, wmax, rds] + def search_fft(data, numcands, norm='default'): """ search_fft(data, numcands): @@ -266,15 +283,16 @@ def search_fft(data, numcands, norm='default'): 'norm' is the value to multiply each pow power by to get a normalized power spectrum (defaults to 1.0/(Freq 0) value) """ - if (norm=='default'): norm = 1.0/data[0].real + if (norm == 'default'): norm = 1.0 / data[0].real hp = np.zeros(numcands, 'f') hf = np.zeros(numcands, 'f') - search_minifft(data, len(data), norm, numcands, hp, hf) + search_minifft(data, len(data), norm, numcands, hp, hf) cands = [] for i in range(numcands): - cands.append([hp[i],hf[i]]) + cands.append([hp[i], hf[i]]) return cands + def ffdot_plane(data, lor, dr, numr, loz, dz, numz): """ ffdot_plane(data, lor, dr, numr, loz, dz, numz): @@ -291,13 +309,14 @@ def ffdot_plane(data, lor, dr, numr, loz, dz, numz): numr = int(numr) numz = int(numz) numbetween = int(1.0 / dr) - hiz = loz + (numz-1) * dz + hiz = loz + (numz - 1) * dz maxabsz = max(abs(loz), abs(hiz)) kern_half_width = z_resp_halfwidth(maxabsz, LOWACC) fftlen = next2_to_n(numr + 2 * numbetween * kern_half_width) ffd = corr_rz_plane(data, numbetween, lor, loz, hiz, numz, fftlen, LOWACC) - return np.array(ffd[:,0:numr], copy=1) + return np.array(ffd[:, 0:numr], copy=1) + def fdotdot_vol(data, lor, dr, numr, loz, dz, numz, low, dw, numw): """ @@ -315,15 +334,16 @@ def fdotdot_vol(data, lor, dr, numr, loz, dz, numz, low, dw, numw): lor = int(lor) numr, numz, numw = int(numr), int(numz), int(numw) numbetween = int(1.0 / dr) - hiz = loz + (numz-1) * dz + hiz = loz + (numz - 1) * dz maxabsz = max(abs(loz), abs(hiz)) - hiw = low + (numw-1) * dw + hiw = low + (numw - 1) * dw maxabsw = max(abs(low), abs(hiw)) kern_half_width = w_resp_halfwidth(maxabsz, maxabsw, LOWACC) fftlen = next2_to_n(numr + 2 * numbetween * kern_half_width) ffd = corr_rzw_vol(data, numbetween, lor, loz, hiz, - numz, low, hiw, numw, fftlen, LOWACC) - return np.array(ffd[:,:,0:numr], copy=1) + numz, low, hiw, numw, fftlen, LOWACC) + return np.array(ffd[:, :, 0:numr], copy=1) + def estimate_rz(psr, T, show=0, device='/XWIN'): """ @@ -341,21 +361,24 @@ def estimate_rz(psr, T, show=0, device='/XWIN'): dt = T / (numorbpts - 1) E = dorbint(startE, numorbpts, dt, psr.orb) z = z_from_e(E, psr, T) - r = T/p_from_e(E, psr) - T/psr.p + r = T / p_from_e(E, psr) - T / psr.p if show: times = np.arange(numorbpts) * dt - Pgplot.plotxy(r, times, labx = 'Time', \ - laby = 'Fourier Frequency (r)', device=device) - if device=='/XWIN': + Pgplot.plotxy(r, times, labx='Time', \ + laby='Fourier Frequency (r)', device=device) + if device == '/XWIN': print('Press enter to continue:') - try: i = raw_input() - except NameError: i = input() + try: + i = raw_input() + except NameError: + i = input() Pgplot.nextplotpage() - Pgplot.plotxy(z, times, labx = 'Time', - laby = 'Fourier Frequency Derivative (z)', device=device) + Pgplot.plotxy(z, times, labx='Time', + laby='Fourier Frequency Derivative (z)', device=device) Pgplot.closeplot() return r.mean(), z.mean() - + + def alias(r, rny): """ alias_to_r(r, rny): @@ -368,182 +391,193 @@ def alias(r, rny): """ return 2.0 * rny - r -def show_ffdot_plane(data, r, z, dr = 0.125, dz = 0.5, - numr = 300, numz = 300, T = None, - contours = None, title = None, - image = "astro", device = "/XWIN", norm = 1.0): - """ - show_ffdot_plane(data, r, z): - Show a color plot of the F-Fdot plane centered on the point 'r', 'z'. - """ - ffdp = ffdot_plane(data, r, dr, numr, z, dz, numz) - ffdpow = spectralpower(ffdp.ravel()) - ffdpow.shape = (numz, numr) - startbin = int(r - (numr * dr) / 2) - startz = int(z - (numz * dz) / 2) - x = np.arange(numr, dtype="d") * dr + startbin - y = np.arange(numz, dtype="d") * dz + startz - highpt = np.argmax(ffdpow.ravel()) - hir = highpt % numr - hiz = highpt / numr - print("") - print("Fourier Freqs from ", min(x), "to", max(x), ".") - print("Fourier Fdots from ", min(y), "to", max(y), ".") - print("Maximum normalized power is ", ffdpow[hiz][hir]) - print("The max value is located at: r =", startbin + hir * dr, \ - " z =", startz + hiz * dz) - print("") - if not T: - Pgplot.plot2d(ffdpow, x, y, labx = "Fourier Frequency (bins)", \ - laby = "Fourier Frequency Derivative", \ - title = title, image = image, \ - contours = contours, device = device) - else: - Pgplot.plot2d(ffdpow, x/T, y/(T**2.0), labx = "Frequency (hz)", \ - laby = "Frequency Derivative (Hz/sec)", \ - rangex2 = [x[0], x[-1]], rangey2 = [y[0], y[-1]], \ - labx2 = "Fourier Frequency", \ - laby2 = "Fourier Frequency Derivative", \ - title = title, image = image, \ - contours = contours, device = device) + +def show_ffdot_plane(data, r, z, dr=0.125, dz=0.5, + numr=300, numz=300, T=None, + contours=None, title=None, + image="astro", device="/XWIN", norm=1.0): + """ + show_ffdot_plane(data, r, z): + Show a color plot of the F-Fdot plane centered on the point 'r', 'z'. + """ + ffdp = ffdot_plane(data, r, dr, numr, z, dz, numz) + ffdpow = spectralpower(ffdp.ravel()) + ffdpow.shape = (numz, numr) + startbin = int(r - (numr * dr) / 2) + startz = int(z - (numz * dz) / 2) + x = np.arange(numr, dtype="d") * dr + startbin + y = np.arange(numz, dtype="d") * dz + startz + highpt = np.argmax(ffdpow.ravel()) + hir = highpt % numr + hiz = highpt / numr + print("") + print("Fourier Freqs from ", min(x), "to", max(x), ".") + print("Fourier Fdots from ", min(y), "to", max(y), ".") + print("Maximum normalized power is ", ffdpow[hiz][hir]) + print("The max value is located at: r =", startbin + hir * dr, \ + " z =", startz + hiz * dz) + print("") + if not T: + Pgplot.plot2d(ffdpow, x, y, labx="Fourier Frequency (bins)", \ + laby="Fourier Frequency Derivative", \ + title=title, image=image, \ + contours=contours, device=device) + else: + Pgplot.plot2d(ffdpow, x / T, y / (T ** 2.0), labx="Frequency (hz)", \ + laby="Frequency Derivative (Hz/sec)", \ + rangex2=[x[0], x[-1]], rangey2=[y[0], y[-1]], \ + labx2="Fourier Frequency", \ + laby2="Fourier Frequency Derivative", \ + title=title, image=image, \ + contours=contours, device=device) def v_from_e(e, psr): - """ - v_from_e(e, psr): - Return a vector of velocities (km/s) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - """ - oldw = psr.orb.w - v = np.array(e, copy=1) - E_to_v(v, psr.orb) - psr.orb.w = oldw - return v + """ + v_from_e(e, psr): + Return a vector of velocities (km/s) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + """ + oldw = psr.orb.w + v = np.array(e, copy=1) + E_to_v(v, psr.orb) + psr.orb.w = oldw + return v + def d_from_e(e, psr): - """ - d_from_e(e, psr): - Return a vector of time delays (s) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - """ - oldw = psr.orb.w - d = np.array(e, copy=1) - E_to_phib(d, psr.orb) - psr.orb.w = oldw - return d + """ + d_from_e(e, psr): + Return a vector of time delays (s) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + """ + oldw = psr.orb.w + d = np.array(e, copy=1) + E_to_phib(d, psr.orb) + psr.orb.w = oldw + return d + def p_from_e(e, psr): - """ - p_from_e(e, psr): - Return a vector of pulsar periods (s) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - """ - oldw = psr.orb.w - psr.orb.w = psr.orb.w * DEGTORAD - p = np.array(e, copy=1) - E_to_p(p, psr.p, psr.orb) - psr.orb.w = oldw - return p + """ + p_from_e(e, psr): + Return a vector of pulsar periods (s) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + """ + oldw = psr.orb.w + psr.orb.w = psr.orb.w * DEGTORAD + p = np.array(e, copy=1) + E_to_p(p, psr.p, psr.orb) + psr.orb.w = oldw + return p + def z_from_e(e, psr, T): - """ - z_from_e(e, psr): - Return a vector of Fourier F-dots (bins) from a vector of Eccentric - anomalys. - 'e' is the vector of Eccentric anomalys. - 'psr' is a psrparams instance containing info about the pulsar. - 'T' is the total length of the observation (s). - """ - oldw = psr.orb.w - psr.orb.w = psr.orb.w * DEGTORAD - z = np.array(e, copy=1) - E_to_z(z, psr.p, T, psr.orb) - psr.orb.w = oldw - return z + """ + z_from_e(e, psr): + Return a vector of Fourier F-dots (bins) from a vector of Eccentric + anomalys. + 'e' is the vector of Eccentric anomalys. + 'psr' is a psrparams instance containing info about the pulsar. + 'T' is the total length of the observation (s). + """ + oldw = psr.orb.w + psr.orb.w = psr.orb.w * DEGTORAD + z = np.array(e, copy=1) + E_to_z(z, psr.p, T, psr.orb) + psr.orb.w = oldw + return z + def pcorr(data, kernel, numbetween, lo, hi): - """ - pcorr(data, kernel, numbetween, lo, hi): - Perform a correlation with the raw complex vectors 'data' and - 'kernel'. The returned vector should start at frequency - 'lo' (must be an integer), and go up to but not include 'hi' - (also an integer). - """ - kern_half_width = len(kernel)/(2 * numbetween) - result = np.zeros((hi-lo)*numbetween, 'F') - corr_complex(data, len(data), RAW, - kernel, len(kernel), RAW, - result, len(result), lo, - numbetween, kern_half_width, CORR) - return result + """ + pcorr(data, kernel, numbetween, lo, hi): + Perform a correlation with the raw complex vectors 'data' and + 'kernel'. The returned vector should start at frequency + 'lo' (must be an integer), and go up to but not include 'hi' + (also an integer). + """ + kern_half_width = len(kernel) / (2 * numbetween) + result = np.zeros((hi - lo) * numbetween, 'F') + corr_complex(data, len(data), RAW, + kernel, len(kernel), RAW, + result, len(result), lo, + numbetween, kern_half_width, CORR) + return result + def p_to_f(p, pd, pdd): - """ - p_to_f(p, pd, pdd): - Convert period, period derivative and period second - derivative to the equivalent frequency counterparts. - Will also convert from f to p. - """ - f = 1.0 / p - fd = -pd / (p * p) - if (pdd==0.0): - fdd = 0.0 - else: - fdd = 2.0 * pd * pd / (p**3.0) - pdd / (p * p) - return [f, fd, fdd] + """ + p_to_f(p, pd, pdd): + Convert period, period derivative and period second + derivative to the equivalent frequency counterparts. + Will also convert from f to p. + """ + f = 1.0 / p + fd = -pd / (p * p) + if (pdd == 0.0): + fdd = 0.0 + else: + fdd = 2.0 * pd * pd / (p ** 3.0) - pdd / (p * p) + return [f, fd, fdd] + def bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): - """ - bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): - Use least squares to calculate topocentric period - period derivative, and period second derivative - for the corresponding barycentric values. The data - for the observation must be found in the info file. - """ - from numpy.linalg.old import linear_least_squares - if infofilenm[-4:]==".inf": infofilenm = infofilenm[:-4] - obs = read_inffile(infofilenm) - T = obs.N * obs.dt - dt = 10.0 - tto = obs.mjd_i + obs.mjd_f - tts = np.arange(tto, tto + (T + dt) / SECPERDAY, dt / SECPERDAY) - nn = len(tts) - bts = np.zeros(nn, 'd') - vel = np.zeros(nn, 'd') - ra = psr_utils.coord_to_string(obs.ra_h, obs.ra_m, obs.ra_s) - dec = psr_utils.coord_to_string(obs.dec_d, obs.dec_m, obs.dec_s) - if (obs.telescope == 'Parkes'): tel = 'PK' - elif (obs.telescope == 'Effelsberg'): tel = 'EB' - elif (obs.telescope == 'Arecibo'): tel = 'AO' - elif (obs.telescope == 'MMT'): tel = 'MT' - else: - print("Telescope not recognized.") - return 0 - barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) - print("Topocentric start time = %17.11f" % tts[0]) - print("Barycentric start time = %17.11f" % bts[0]) - avgvel = np.add.reduce(vel) / nn - print("Average Earth velocity = %10.5e c" % (avgvel)) - tts = np.arange(nn, dtype='d') * dt - bts = (bts - bts[0]) * SECPERDAY - [fb, fbd, fbdd] = p_to_f(pb, pbd, pbdd) - b = fb * bts + fbd * bts**2.0 / 2.0 + fbdd * bts**3.0 / 6.0 - a = np.transpose(np.asarray([tts, tts**2.0, tts**3.0])) - [ft, ftd, ftdd], residuals, rank, sv = linear_least_squares(a,b) - [pt, ptd, ptdd] = p_to_f(ft, ftd, ftdd) - print(" Topocentric period = %15.12f" % pt) - print(" Topocentric p-dot = %15.9e" % ptd) - print(" Topocentric p-dotdot = %15.9e" % ptdd) - print(" Quick Topo period = %15.12f" % (pb * (1.0 + avgvel))) - print(" Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel))) - print(" Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel))) - return [pt, ptd, ptdd] + """ + bary_to_topo(pb, pbd, pbdd, infofilenm, ephem="DE200"): + Use least squares to calculate topocentric period + period derivative, and period second derivative + for the corresponding barycentric values. The data + for the observation must be found in the info file. + """ + from numpy.linalg.old import linear_least_squares + if infofilenm[-4:] == ".inf": infofilenm = infofilenm[:-4] + obs = read_inffile(infofilenm) + T = obs.N * obs.dt + dt = 10.0 + tto = obs.mjd_i + obs.mjd_f + tts = np.arange(tto, tto + (T + dt) / SECPERDAY, dt / SECPERDAY) + nn = len(tts) + bts = np.zeros(nn, 'd') + vel = np.zeros(nn, 'd') + ra = psr_utils.coord_to_string(obs.ra_h, obs.ra_m, obs.ra_s) + dec = psr_utils.coord_to_string(obs.dec_d, obs.dec_m, obs.dec_s) + if (obs.telescope == 'Parkes'): + tel = 'PK' + elif (obs.telescope == 'Effelsberg'): + tel = 'EB' + elif (obs.telescope == 'Arecibo'): + tel = 'AO' + elif (obs.telescope == 'MMT'): + tel = 'MT' + else: + print("Telescope not recognized.") + return 0 + barycenter(tts, bts, vel, nn, ra, dec, tel, ephem) + print("Topocentric start time = %17.11f" % tts[0]) + print("Barycentric start time = %17.11f" % bts[0]) + avgvel = np.add.reduce(vel) / nn + print("Average Earth velocity = %10.5e c" % (avgvel)) + tts = np.arange(nn, dtype='d') * dt + bts = (bts - bts[0]) * SECPERDAY + [fb, fbd, fbdd] = p_to_f(pb, pbd, pbdd) + b = fb * bts + fbd * bts ** 2.0 / 2.0 + fbdd * bts ** 3.0 / 6.0 + a = np.transpose(np.asarray([tts, tts ** 2.0, tts ** 3.0])) + [ft, ftd, ftdd], residuals, rank, sv = linear_least_squares(a, b) + [pt, ptd, ptdd] = p_to_f(ft, ftd, ftdd) + print(" Topocentric period = %15.12f" % pt) + print(" Topocentric p-dot = %15.9e" % ptd) + print(" Topocentric p-dotdot = %15.9e" % ptdd) + print(" Quick Topo period = %15.12f" % (pb * (1.0 + avgvel))) + print(" Quick Topo p-dot = %15.9e" % (pbd * (1.0 + avgvel))) + print(" Quick Topo p-dotdot = %15.9e" % (pbdd * (1.0 + avgvel))) + return [pt, ptd, ptdd] def measure_phase(profile, template, sigma, fwhm): @@ -566,9 +600,9 @@ def measure_phase(profile, template, sigma, fwhm): from simple_roots import newton_raphson N = len(profile) if not (N == len(template)): - print("Lengths of 'profile' and 'template' must") - print(" be equal in measure_phase().") - return 0.0 + print("Lengths of 'profile' and 'template' must") + print(" be equal in measure_phase().") + return 0.0 ft = rfft(profile) p0 = ft[0].real # Nyquist freq @@ -589,22 +623,25 @@ def measure_phase(profile, template, sigma, fwhm): # Note: Checked 10 Jul 2000. Looks OK. sig = sigma * np.sqrt(N) k = np.arange(len(ft), dtype='d') + 1.0 + def fn(tau, k=k, p=P_k, s=S_k, theta=Theta_k, phi=Phi_k): - # Since Nyquist freq always has phase = 0.0 - k[-1] = 0.0 - return np.add.reduce(k * p * s * - np.sin(phi - theta + k * tau)) + # Since Nyquist freq always has phase = 0.0 + k[-1] = 0.0 + return np.add.reduce(k * p * s * + np.sin(phi - theta + k * tau)) + def dfn(tau, k=k, p=P_k, s=S_k, theta=Theta_k, phi=Phi_k): - # Since Nyquist freq always has phase = 0.0 - k[-1] = 0.0 - return np.add.reduce(k * k * p * s * - np.cos(phi - theta + k * tau)) + # Since Nyquist freq always has phase = 0.0 + k[-1] = 0.0 + return np.add.reduce(k * k * p * s * + np.cos(phi - theta + k * tau)) + numphases = 200 ddchidt = np.zeros(numphases, 'd') phases = np.arange(numphases, dtype='d') / \ - float(numphases-1) * TWOPI - PI + float(numphases - 1) * TWOPI - PI for i in np.arange(numphases): - ddchidt[i] = dfn(phases[i]) + ddchidt[i] = dfn(phases[i]) maxdphase = phases[np.argmax(ddchidt)] + \ 0.5 * TWOPI / (numphases - 1.0) # Solve for tau @@ -612,29 +649,30 @@ def dfn(tau, k=k, p=P_k, s=S_k, theta=Theta_k, phi=Phi_k): maxdphase + 0.5 * fwhm * TWOPI) # Solve for b c = P_k * S_k * np.cos(Phi_k - Theta_k + k * tau) - d = np.add.reduce(S_k**2.0) + d = np.add.reduce(S_k ** 2.0) b = np.add.reduce(c) / d # tau sigma tau_err = sig * np.sqrt(1.0 / (2.0 * b * - np.add.reduce(k**2.0 * c))) + np.add.reduce(k ** 2.0 * c))) # b sigma (Note: This seems to be an underestimate...) b_err = sig * np.sqrt(1.0 / (2.0 * d)) # Solve for a a = (p0 - b * s0) / float(N) return (tau / TWOPI, tau_err / TWOPI, b, b_err, a) + def get_baryv(ra, dec, mjd, T, obs="PK"): - """ - get_baryv(ra, dec, mjd, T, obs="PK"): - Determine the average barycentric velocity towards 'ra', 'dec' - during an observation from 'obs'. The RA and DEC are in the - standard string format (i.e. 'hh:mm:ss.ssss' and 'dd:mm:ss.ssss'). - 'T' is in sec and 'mjd' is (of course) in MJD. The obs variable - is the standard two character string from TEMPO: PK, GB, AO, GM, JB, ... - """ - tts = np.linspace(mjd, mjd+T/86400.0, 100) - nn = len(tts) - bts = np.zeros(nn, dtype=np.float64) - vel = np.zeros(nn, dtype=np.float64) - barycenter(tts, bts, vel, ra, dec, obs, "DE421") - return vel.mean() + """ + get_baryv(ra, dec, mjd, T, obs="PK"): + Determine the average barycentric velocity towards 'ra', 'dec' + during an observation from 'obs'. The RA and DEC are in the + standard string format (i.e. 'hh:mm:ss.ssss' and 'dd:mm:ss.ssss'). + 'T' is in sec and 'mjd' is (of course) in MJD. The obs variable + is the standard two character string from TEMPO: PK, GB, AO, GM, JB, ... + """ + tts = np.linspace(mjd, mjd + T / 86400.0, 100) + nn = len(tts) + bts = np.zeros(nn, dtype=np.float64) + vel = np.zeros(nn, dtype=np.float64) + barycenter(tts, bts, vel, ra, dec, obs, "DE421") + return vel.mean() diff --git a/python/short_analysis_simple.py b/python/short_analysis_simple.py index 4ad8c1092..c81edbbd4 100644 --- a/python/short_analysis_simple.py +++ b/python/short_analysis_simple.py @@ -1,11 +1,11 @@ #!/usr/bin/python -from os import system, chdir, remove, environ +from os import system, chdir from sys import stdout, argv, exit from glob import glob from optparse import OptionParser -from fcntl import * -from presto import read_inffile, writeinf, get_baryv -import infodata +from presto.presto import read_inffile, writeinf, get_baryv +from presto import infodata + def myexecute(cmd): stdout.write("\n'"+cmd+"'\n") diff --git a/setup.py b/setup.py index 62beaaffe..91e29715e 100644 --- a/setup.py +++ b/setup.py @@ -70,14 +70,16 @@ setup(name="presto", version=version, - #install_requires=['numpy'], + install_requires=['numpy', 'future', 'six', 'scipy', 'matplotlib', 'astropy', 'pyslalib'], scripts=scripts, description="Python interfaces to PGPLOT and PRESTO", author="Scott Ransom (ppgplot from Nick Patavlis)", author_email="sransom@nrao.edu", url="https://github.com/scottransom/presto", - packages=['presto', 'presto.ppgplot', 'presto.presto'], + packages=['presto', 'presto.ppgplot', 'presto.presto', 'presto.singlepulse'], package_dir={'presto.ppgplot': 'python/ppgplot_src', 'presto.presto': 'python/presto_src', - 'presto': 'python/presto'}, - ext_modules=[ext_ppgplot,ext_presto]) #, ext_fftfit]) + 'presto': 'python/presto', + 'presto.singlepulse': 'python/presto/singlepulse', + }, + ext_modules=[ext_ppgplot, ext_presto]) #, ext_fftfit]) From 828d1f3308a39b827dbada5e8848fc21e1b92aa4 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 15:17:42 +0200 Subject: [PATCH 098/146] more python compatibility and bug fixing --- MANIFEST.in | 1 + bin/DDplan.py | 16 +- bin/detrend_dat.py | 4 + bin/event_peak.py | 1 - bin/waterfaller.py | 173 ++++++++++--------- python/presto/cosine_rand.json | 1 + python/presto/cosine_rand.py | 12 +- python/presto/psrfits.py | 25 +-- python/presto/singlepulse/bary_and_topo.py | 10 +- python/presto/singlepulse/make_spd.py | 15 +- python/presto/singlepulse/plot_spd.py | 61 +++---- python/presto/singlepulse/read_spd.py | 1 + python/presto/singlepulse/rrattrap.py | 19 +- python/presto/singlepulse/rrattrap_config.py | 2 +- python/presto/singlepulse/sp_pgplot.py | 39 ++--- python/presto/singlepulse/spcand.py | 4 + python/presto/singlepulse/spio.py | 2 + python/short_analysis_simple.py | 22 +-- python/wrappers/presto.py | 15 +- setup.py | 1 + tests/test_binary_calcs.py | 4 +- tests/test_max_rzw_harmonics.py | 18 +- tests/test_presto_python.py | 10 +- 23 files changed, 235 insertions(+), 221 deletions(-) create mode 100644 python/presto/cosine_rand.json diff --git a/MANIFEST.in b/MANIFEST.in index 8083cda10..89d86bd28 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,3 +1,4 @@ recursive-include bin * include pyproject.toml recursive-include include *.h +include python/presto/cosine_rand.json \ No newline at end of file diff --git a/bin/DDplan.py b/bin/DDplan.py index ce7fea12e..61aeb0b97 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -303,27 +303,27 @@ def dm_steps(loDM, hiDM, obs, cohdm=0.0, numsub=0, ok_smearing=0.0, device="/XWI # Plot them plotxy(log10(tot_smear), DMs, color='orange', logy=1, rangex=[loDM, hiDM], rangey=[log10(0.3*min(tot_smear)), log10(2.5*max(tot_smear))], - labx="Dispersion Measure (pc/cm\u3\d)", laby="Smearing (ms)", + labx="Dispersion Measure (pc/cm\\u3\\d)", laby="Smearing (ms)", device=device) ppgplot.pgsch(1.1) ppgplot.pgsci(1) if (numsub): - ppgplot.pgmtxt("t", 1.5, 0.6/10.0, 0.5, "\(2156)\dctr\u = %g MHz" % obs.f_ctr) + ppgplot.pgmtxt("t", 1.5, 0.6/10.0, 0.5, "\(2156)\dctr\\u = %g MHz" % obs.f_ctr) if (dtms < 0.1): - ppgplot.pgmtxt("t", 1.5, 2.8/10.0, 0.5, "dt = %g \gms" % (dtms*1000)) + ppgplot.pgmtxt("t", 1.5, 2.8/10.0, 0.5, "dt = %g \\gms" % (dtms*1000)) else: ppgplot.pgmtxt("t", 1.5, 2.8/10.0, 0.5, "dt = %g ms" % dtms) ppgplot.pgmtxt("t", 1.5, 5.0/10.0, 0.5, "BW = %g MHz" % obs.BW) - ppgplot.pgmtxt("t", 1.5, 7.2/10.0, 0.5, "N\dchan\u = %d" % obs.numchan) - ppgplot.pgmtxt("t", 1.5, 9.4/10.0, 0.5, "N\dsub\u = %d" % numsub) + ppgplot.pgmtxt("t", 1.5, 7.2/10.0, 0.5, "N\\dchan\\u = %d" % obs.numchan) + ppgplot.pgmtxt("t", 1.5, 9.4/10.0, 0.5, "N\\dsub\\u = %d" % numsub) else: - ppgplot.pgmtxt("t", 1.5, 1.0/8.0, 0.5, "\(2156)\dctr\u = %g MHz" % obs.f_ctr) + ppgplot.pgmtxt("t", 1.5, 1.0/8.0, 0.5, "\\(2156)\\dctr\\u = %g MHz" % obs.f_ctr) if (dtms < 0.1): - ppgplot.pgmtxt("t", 1.5, 3.0/8.0, 0.5, "dt = %g \gms" % (dtms*1000)) + ppgplot.pgmtxt("t", 1.5, 3.0/8.0, 0.5, "dt = %g \\gms" % (dtms*1000)) else: ppgplot.pgmtxt("t", 1.5, 3.0/8.0, 0.5, "dt = %g ms" % dtms) ppgplot.pgmtxt("t", 1.5, 5.0/8.0, 0.5, "BW = %g MHz" % obs.BW) - ppgplot.pgmtxt("t", 1.5, 7.0/8.0, 0.5, "N\dchan\u = %d" % obs.numchan) + ppgplot.pgmtxt("t", 1.5, 7.0/8.0, 0.5, "N\\dchan\\u = %d" % obs.numchan) ppgplot.pgsch(1.0) dy = -1.4 diff --git a/bin/detrend_dat.py b/bin/detrend_dat.py index 61111aff1..51d7b5a82 100755 --- a/bin/detrend_dat.py +++ b/bin/detrend_dat.py @@ -4,6 +4,10 @@ from astropy.stats import sigma_clip import scipy.signal +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + os.rename(sys.argv[1], sys.argv[1]+".bak") data = np.fromfile(sys.argv[1]+".bak", dtype=np.float32) N = len(data) diff --git a/bin/event_peak.py b/bin/event_peak.py index c77d931d4..a295edd41 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,6 +1,5 @@ #!/usr/bin/env python from __future__ import print_function -import sys import numpy as num import presto.events as evts from presto import kuiper diff --git a/bin/waterfaller.py b/bin/waterfaller.py index e2c1e4c3c..83b40d0b7 100755 --- a/bin/waterfaller.py +++ b/bin/waterfaller.py @@ -49,7 +49,8 @@ def get_mask(rfimask, startsamp, N): blockmask[:,chans_to_mask] = True mask[blocknums==blocknum] = blockmask return mask.T - + + def maskfile(maskfn, data, start_bin, nbinsextra): rfimask = rfifind.rfifind(maskfn) mask = get_mask(rfimask, start_bin, nbinsextra)[::-1] @@ -60,9 +61,10 @@ def maskfile(maskfn, data, start_bin, nbinsextra): #datacopy = copy.deepcopy(data) return data, masked_chans + def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ subdm=None, zerodm=False, downsamp=1, scaleindep=False,\ - width_bins=1, mask=False, maskfn=None, bandpass_corr=False, \ + width_bins=1, mask=False, maskfn=None, bandpass_corr=False, ref_freq=None): """ Create a waterfall plot (i.e. dynamic specrum) from a raw data file. @@ -124,9 +126,9 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ nbins = np.round(duration/rawdatafile.tsamp).astype('int') if dm: - nbinsextra = np.round((duration + dmfac * dm)/rawdatafile.tsamp).astype('int') + nbinsextra = np.round((duration + dmfac * dm)/rawdatafile.tsamp).astype('int') else: - nbinsextra = nbins + nbinsextra = nbins # If at end of observation if (start_bin + nbinsextra) > rawdatafile.nspec-1: @@ -147,7 +149,7 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ masked_chans[bandpass == 0] = True # ignore top and bottom 1% of band - ignore_chans = np.ceil(0.01*rawdatafile.nchan) + ignore_chans = np.ceil(0.01*rawdatafile.nchan) masked_chans[:ignore_chans] = True masked_chans[-ignore_chans:] = True @@ -163,7 +165,7 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ if (zerodm == True): data.data -= data.data.mean(axis=0) - + # Subband data if (nsub is not None) and (subdm is not None): data.subband(nsub, subdm, padval='mean') @@ -177,15 +179,16 @@ def waterfall(rawdatafile, start, duration, dm=None, nbins=None, nsub=None,\ # scale data data = data.scaled(scaleindep) - + # Smooth if width_bins > 1: data.smooth(width_bins, padval='mean') return data, nbinsextra, nbins, start -def plot_waterfall(data, start, duration, - integrate_ts=False, integrate_spec=False, show_cb=False, + +def plot_waterfall(data, start, duration, + integrate_ts=False, integrate_spec=False, show_cb=False, cmap_str="gist_yarg", sweep_dms=[], sweep_posns=[], ax_im=None, ax_ts=None, ax_spec=None, interactive=True): """ I want a docstring too! @@ -210,10 +213,10 @@ def plot_waterfall(data, start, duration, # Ploting it up nbinlim = np.int(duration/data.dt) - img = ax_im.imshow(data.data[..., :nbinlim], aspect='auto', \ - cmap=matplotlib.cm.cmap_d[cmap_str], \ - interpolation='nearest', origin='upper', \ - extent=(data.starttime, data.starttime+ nbinlim*data.dt, \ + img = ax_im.imshow(data.data[..., :nbinlim], aspect='auto', + cmap=matplotlib.cm.cmap_d[cmap_str], + interpolation='nearest', origin='upper', + extent=(data.starttime, data.starttime+ nbinlim*data.dt, data.freqs.min(), data.freqs.max())) if show_cb: cb = ax_im.get_figure().colorbar(img) @@ -225,7 +228,7 @@ def plot_waterfall(data, start, duration, ddm = sweep_dm-data.dm delays = psr_utils.delay_from_DM(ddm, data.freqs) delays -= delays.min() - + if sweep_posns is None: sweep_posn = 0.0 elif len(sweep_posns) == 1: @@ -248,8 +251,8 @@ def plot_waterfall(data, start, duration, times = (np.arange(data.numspectra)*data.dt + start)[..., :nbinlim] ax_ts.plot(times, Dedisp_ts,"k") ax_ts.set_xlim([times.min(),times.max()]) - plt.setp(ax_ts.get_xticklabels(), visible = False) - plt.setp(ax_ts.get_yticklabels(), visible = False) + plt.setp(ax_ts.get_xticklabels(), visible = False) + plt.setp(ax_ts.get_yticklabels(), visible = False) # Plot Spectrum if integrate_spec: @@ -270,7 +273,7 @@ def plot_waterfall(data, start, duration, if interactive: fig.suptitle("Frequency vs. Time") - fig.canvas.mpl_connect('key_press_event', \ + fig.canvas.mpl_connect('key_press_event', lambda ev: (ev.key in ('q','Q') and plt.close(fig))) plt.show() @@ -291,107 +294,107 @@ def main(): "extension. (Only '.fits' and '.fil' " "are supported.)") - data, bins, nbins, start = waterfall(rawdatafile, options.start, \ - options.duration, dm=options.dm,\ - nbins=options.nbins, nsub=options.nsub,\ - subdm=options.subdm, zerodm=options.zerodm, \ - downsamp=options.downsamp, \ - scaleindep=options.scaleindep, \ - width_bins=options.width_bins, mask=options.mask, \ - maskfn=options.maskfile, \ + data, bins, nbins, start = waterfall(rawdatafile, options.start, + options.duration, dm=options.dm, + nbins=options.nbins, nsub=options.nsub, + subdm=options.subdm, zerodm=options.zerodm, + downsamp=options.downsamp, + scaleindep=options.scaleindep, + width_bins=options.width_bins, mask=options.mask, + maskfn=options.maskfile, bandpass_corr=options.bandpass_corr) - plot_waterfall(data, start, options.duration, integrate_ts=options.integrate_ts, \ + plot_waterfall(data, start, options.duration, integrate_ts=options.integrate_ts, integrate_spec=options.integrate_spec, show_cb=options.show_cb, cmap_str=options.cmap, sweep_dms=options.sweep_dms, sweep_posns=options.sweep_posns) if __name__=='__main__': - parser = optparse.OptionParser(prog="waterfaller.py", \ - version="v0.9 Patrick Lazarus (Aug. 19, 2011)", \ - usage="%prog [OPTIONS] INFILE", \ - description="Create a waterfall plot to show the " \ - "frequency sweep of a single pulse " \ + parser = optparse.OptionParser(prog="waterfaller.py", + version="v0.9 Patrick Lazarus (Aug. 19, 2011)", + usage="%prog [OPTIONS] INFILE", + description="Create a waterfall plot to show the " + "frequency sweep of a single pulse " "in psrFits data.") - parser.add_option('--subdm', dest='subdm', type='float', \ - help="DM to use when subbanding. (Default: " \ + parser.add_option('--subdm', dest='subdm', type='float', + help="DM to use when subbanding. (Default: " "same as --dm)", default=None) - parser.add_option('--zerodm', dest='zerodm', action='store_true', \ - help="If this flag is set - Turn Zerodm filter - ON (Default: " \ + parser.add_option('--zerodm', dest='zerodm', action='store_true', + help="If this flag is set - Turn Zerodm filter - ON (Default: " "OFF)", default=False) - parser.add_option('-s', '--nsub', dest='nsub', type='int', \ - help="Number of subbands to use. Must be a factor " \ - "of number of channels. (Default: " \ + parser.add_option('-s', '--nsub', dest='nsub', type='int', + help="Number of subbands to use. Must be a factor " + "of number of channels. (Default: " "number of channels)", default=None) - parser.add_option('-d', '--dm', dest='dm', type='float', \ - help="DM to use when dedispersing data for plot. " \ + parser.add_option('-d', '--dm', dest='dm', type='float', + help="DM to use when dedispersing data for plot. " "(Default: 0 pc/cm^3)", default=0.0) - parser.add_option('--show-ts', dest='integrate_ts', action='store_true', \ - help="Plot the time series. " \ + parser.add_option('--show-ts', dest='integrate_ts', action='store_true', + help="Plot the time series. " "(Default: Do not show the time series)", default=False) - parser.add_option('--show-spec', dest='integrate_spec', action='store_true', \ - help="Plot the spectrum. " \ + parser.add_option('--show-spec', dest='integrate_spec', action='store_true', + help="Plot the spectrum. " "(Default: Do not show the spectrum)", default=False) - parser.add_option('--bandpass', dest='bandpass_corr', action='store_true', \ - help="Correct for the bandpass. Requires an rfifind " \ - "mask provided by --mask option." \ + parser.add_option('--bandpass', dest='bandpass_corr', action='store_true', + help="Correct for the bandpass. Requires an rfifind " + "mask provided by --mask option." "(Default: Do not remove bandpass)", default=False) - parser.add_option('-T', '--start-time', dest='start', type='float', \ - help="Time into observation (in seconds) at which " \ + parser.add_option('-T', '--start-time', dest='start', type='float', + help="Time into observation (in seconds) at which " "to start plot.") - parser.add_option('-t', '--duration', dest='duration', type='float', \ + parser.add_option('-t', '--duration', dest='duration', type='float', help="Duration (in seconds) of plot.") - parser.add_option('-n', '--nbins', dest='nbins', type='int', \ - help="Number of time bins to plot. This option takes " \ - "precedence over -t/--duration if both are " \ + parser.add_option('-n', '--nbins', dest='nbins', type='int', + help="Number of time bins to plot. This option takes " + "precedence over -t/--duration if both are " "provided.") - parser.add_option('--width-bins', dest='width_bins', type='int', \ - help="Smooth each channel/subband with a boxcar " \ - "this many bins wide. (Default: Don't smooth)", \ + parser.add_option('--width-bins', dest='width_bins', type='int', + help="Smooth each channel/subband with a boxcar " + "this many bins wide. (Default: Don't smooth)", default=1) - parser.add_option('--sweep-dm', dest='sweep_dms', type='float', \ - action='append', \ - help="Show the frequency sweep using this DM. " \ + parser.add_option('--sweep-dm', dest='sweep_dms', type='float', + action='append', + help="Show the frequency sweep using this DM. " "(Default: Don't show sweep)", default=[]) - parser.add_option('--sweep-posn', dest='sweep_posns', type='float', \ - action='append', \ - help="Show the frequency sweep at this position. " \ - "The position refers to the high-frequency " \ - "edge of the plot. Also, the position should " \ - "be a number between 0 and 1, where 0 is the " \ + parser.add_option('--sweep-posn', dest='sweep_posns', type='float', + action='append', + help="Show the frequency sweep at this position. " + "The position refers to the high-frequency " + "edge of the plot. Also, the position should " + "be a number between 0 and 1, where 0 is the " "left edge of the plot. " "(Default: 0)", default=None) - parser.add_option('--downsamp', dest='downsamp', type='int', \ - help="Factor to downsample data by. (Default: 1).", \ + parser.add_option('--downsamp', dest='downsamp', type='int', + help="Factor to downsample data by. (Default: 1).", default=1) - parser.add_option('--maskfile', dest='maskfile', type='string', \ - help="Mask file produced by rfifind. Used for " \ - "masking and bandpass correction.", \ + parser.add_option('--maskfile', dest='maskfile', type='string', + help="Mask file produced by rfifind. Used for " + "masking and bandpass correction.", default=None) - parser.add_option('--mask', dest='mask', action="store_true", \ - help="Mask data using rfifind mask (Default: Don't mask).", \ + parser.add_option('--mask', dest='mask', action="store_true", + help="Mask data using rfifind mask (Default: Don't mask).", default=False) - parser.add_option('--scaleindep', dest='scaleindep', action='store_true', \ - help="If this flag is set scale each channel " \ - "independently. (Default: Scale using " \ - "global maximum.)", \ + parser.add_option('--scaleindep', dest='scaleindep', action='store_true', + help="If this flag is set scale each channel " + "independently. (Default: Scale using " + "global maximum.)", default=False) - parser.add_option('--show-colour-bar', dest='show_cb', action='store_true', \ - help="If this flag is set show a colour bar. " \ - "(Default: No colour bar.)", \ + parser.add_option('--show-colour-bar', dest='show_cb', action='store_true', + help="If this flag is set show a colour bar. " + "(Default: No colour bar.)", default=False) - parser.add_option('--colour-map', dest='cmap', \ - help="The name of a valid matplotlib colour map." \ - "(Default: gist_yarg.)", \ + parser.add_option('--colour-map', dest='cmap', + help="The name of a valid matplotlib colour map." + "(Default: gist_yarg.)", default='gist_yarg') options, args = parser.parse_args() if not hasattr(options, 'start'): - raise ValueError("Start time (-T/--start-time) " \ + raise ValueError("Start time (-T/--start-time) " "must be given on command line!") if (not hasattr(options, 'duration')) and (not hasattr(options, 'nbins')): - raise ValueError("One of duration (-t/--duration) " \ - "and num bins (-n/--nbins)" \ + raise ValueError("One of duration (-t/--duration) " + "and num bins (-n/--nbins)" "must be given on command line!") if options.subdm is None: options.subdm = options.dm diff --git a/python/presto/cosine_rand.json b/python/presto/cosine_rand.json new file mode 100644 index 000000000..da2330ebb 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= os.path.dirname(__file__) + n = 1000 if (0): @@ -26,11 +29,10 @@ def dfunc(x): xs[ii] = newton_raphson(func, dfunc, 0.0, 1.0) xs[0] = 0.0 xs[n] = 1.0 - pickle.dump(xs, open("cosine_rand.pickle", "w"), 1) + json.dump(list(i for i in xs), open('cosine_rand.json', 'w')) else: - pfile = os.path.join(os.environ['PRESTO'], - "lib", "python", "cosine_rand.pickle") - xs = pickle.load(open(pfile)) + pfile = os.path.join(here, 'cosine_rand.json') + xs = json.load(open(pfile)) def cosine_rand(num): diff --git a/python/presto/psrfits.py b/python/presto/psrfits.py index 755a40799..1173141c9 100644 --- a/python/presto/psrfits.py +++ b/python/presto/psrfits.py @@ -15,25 +15,25 @@ import os import os.path import warnings -import sys import argparse import astropy.io.fits as pyfits from astropy import coordinates, units import astropy.time as aptime import numpy as np -import psr_utils -import spectra +from presto import psr_utils +from presto import spectra # Regular expression for parsing DATE-OBS card's format. -date_obs_re = re.compile(r"^(?P[0-9]{4})-(?P[0-9]{2})-" \ - "(?P[0-9]{2})T(?P[0-9]{2}):" \ - "(?P[0-9]{2}):(?P[0-9]{2}" \ +date_obs_re = re.compile(r"^(?P[0-9]{4})-(?P[0-9]{2})-" + "(?P[0-9]{2})T(?P[0-9]{2}):" + "(?P[0-9]{2}):(?P[0-9]{2}" "(?:\.[0-9]+)?)$") # Default global debugging mode debug = True + def unpack_2bit(data): """Unpack 2-bit data that has been read in as bytes. @@ -51,6 +51,7 @@ def unpack_2bit(data): piece3 = np.bitwise_and(data, 0x03) return np.dstack([piece0, piece1, piece2, piece3]).flatten() + def unpack_4bit(data): """Unpack 4-bit data that has been read in as bytes. @@ -69,7 +70,7 @@ def unpack_4bit(data): class PsrfitsFile(object): def __init__(self, psrfitsfn): if not os.path.isfile(psrfitsfn): - raise ValueError("ERROR: File does not exist!\n\t(%s)" % \ + raise ValueError("ERROR: File does not exist!\n\t(%s)" % psrfitsfn) self.filename = psrfitsfn self.fits = pyfits.open(psrfitsfn, mode='readonly', memmap=True) @@ -86,7 +87,7 @@ def __init__(self, psrfitsfn): self.tsamp = self.specinfo.dt self.nspec = self.specinfo.N - def read_subint(self, isub, apply_weights=True, apply_scales=True, \ + def read_subint(self, isub, apply_weights=True, apply_scales=True, apply_offsets=True): """ Read a PSRFITS subint from a open pyfits file object. @@ -196,11 +197,11 @@ def get_spectra(self, startsamp, N): data = np.concatenate(data) else: data = np.array(data).squeeze() - data = np.transpose(data) + data = np.transpose(data) # Truncate data to desired interval - if trunc > 0: + if trunc > 0: data = data[:, skip:-trunc] - elif trunc == 0: + elif trunc == 0: data = data[:, skip:] else: raise ValueError("Number of bins to truncate is negative: %d" % trunc) @@ -212,7 +213,7 @@ def get_spectra(self, startsamp, N): else: freqs = self.freqs - return spectra.Spectra(freqs, self.tsamp, data, \ + return spectra.Spectra(freqs, self.tsamp, data, starttime=self.tsamp*startsamp, dm=0) diff --git a/python/presto/singlepulse/bary_and_topo.py b/python/presto/singlepulse/bary_and_topo.py index dcf507788..972e4f86d 100755 --- a/python/presto/singlepulse/bary_and_topo.py +++ b/python/presto/singlepulse/bary_and_topo.py @@ -7,12 +7,11 @@ times. """ from __future__ import print_function -from presto.prestoswig import * +from presto.presto.prestoswig import * import numpy as Num -import Pgplot -import psr_utils -import glob -import psrfits +from presto import psr_utils +from presto import psrfits + def read_inffile(filename): """ @@ -26,6 +25,7 @@ def read_inffile(filename): readinf(id, filename) return id + def bary_to_topo(infofilenm, rawdatafile=False, ephem="DE200"): """ bary_to_topo(infofilenm, ephem="DE200"): diff --git a/python/presto/singlepulse/make_spd.py b/python/presto/singlepulse/make_spd.py index 5895ed45f..d2ec50024 100755 --- a/python/presto/singlepulse/make_spd.py +++ b/python/presto/singlepulse/make_spd.py @@ -15,20 +15,15 @@ from builtins import map from builtins import range -import sys -import copy from time import strftime -from subprocess import Popen, PIPE - import numpy as np import optparse -import waterfaller -import psr_utils +from presto import waterfaller +from presto import psr_utils from . import plot_spd -import singlepulse.spcand as spcand -import singlepulse.spio as spio -import psrfits -import spectra +from presto.singlepulse import spcand as spcand +from presto.singlepulse import spio as spio +from presto import psrfits #import filterbank need to implement in PRESTO DEBUG = True diff --git a/python/presto/singlepulse/plot_spd.py b/python/presto/singlepulse/plot_spd.py index 0e5a8f748..828bdfc3e 100755 --- a/python/presto/singlepulse/plot_spd.py +++ b/python/presto/singlepulse/plot_spd.py @@ -14,12 +14,13 @@ import optparse import tarfile from subprocess import Popen, PIPE -import singlepulse.sp_pgplot as sp_pgplot -import singlepulse.read_spd as read_spd -import singlepulse.spio as spio +import presto.singlepulse.sp_pgplot as sp_pgplot +import presto.singlepulse.read_spd as read_spd +import presto.singlepulse.spio as spio -def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ - integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): + +def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", + just_waterfall=True, integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): """ Generates spd plots which include the following subplots: De-dispersed Zero-DM filtered Waterfall plot @@ -49,7 +50,8 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal tar: Supply the tarball of the singlepulse files instead of individual files. """ if not spdfile.endswith(".spd"): - raise ValueError("The first file must be a .spd file") + raise ValueError("The first file must be a .spd file") + #npzfile = np.load(spdfile) spdobj = read_spd.spd(spdfile) ##### Read in the header information and other required variables for the plots. ###### @@ -257,15 +259,15 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: %.2f" %sigma) else: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: N/A") sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \\gms" %(tsamp*1e6)) sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) @@ -284,7 +286,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\d)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) else: @@ -299,7 +301,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\\d)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") # DM vs Time @@ -326,7 +328,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") else: #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) sp_pgplot.ppgplot.pgpap(8.0, 1.5) @@ -475,11 +477,11 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\u-3\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: %.2f" %sigma) else: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: N/A") sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) @@ -489,18 +491,18 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgclos() def main(): - parser = optparse.OptionParser(prog="plot_spd.py", \ + parser = optparse.OptionParser(prog="plot_spd.py", usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") parser.add_option("-x", "--xwin", action="store_true", dest="xwin", default=False, help="Don't make a postscript plot, just use an X-window") - parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", \ - help= "give a base name to the saved plot. DM, time and" \ + parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", + help= "give a base name to the saved plot. DM, time and" "rank values will be added automatically" ) - parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" \ - "is the window around the pulse considered for the spectrum. (Default: 1.5)", \ + parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" + "is the window around the pulse considered for the spectrum. (Default: 1.5)", default=1.5) - parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." \ - "(Default: 0.5 half way in.)", \ + parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." + "(Default: 0.5 half way in.)", default=0.5) parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", default=False, help="Just produce the waterfall plots.") @@ -517,14 +519,15 @@ def main(): if not args[0].endswith(".spd"): raise ValueError("the first file must be a .spd file") if len(args) == 2: - tar = tarfile.open(args[1], "r:gz")# read in the tarball - filenames = tar.getnames()# get the filenames - plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar)# make the sp plots + tar = tarfile.open(args[1], "r:gz") # read in the tarball + filenames = tar.getnames() # get the filenames + plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar) # make the sp plots tar.close() else: - plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None)# make the sp plots + plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None) # make the sp plots + if __name__ == '__main__': main() diff --git a/python/presto/singlepulse/read_spd.py b/python/presto/singlepulse/read_spd.py index 287c8445a..4fb96f1e0 100755 --- a/python/presto/singlepulse/read_spd.py +++ b/python/presto/singlepulse/read_spd.py @@ -3,6 +3,7 @@ from scipy.special import erf as _erf import sys + class spd(object): """ A class for reading in single pulse files. diff --git a/python/presto/singlepulse/rrattrap.py b/python/presto/singlepulse/rrattrap.py index 0c8fb4d7b..4c72db3c7 100755 --- a/python/presto/singlepulse/rrattrap.py +++ b/python/presto/singlepulse/rrattrap.py @@ -16,25 +16,18 @@ """ from __future__ import print_function from past.builtins import cmp -from builtins import str -from builtins import range -from builtins import object -import fileinput -import numpy as np -from time import strftime -import glob -import os.path -import infodata +from time import strftime +from presto import infodata import matplotlib.pyplot as plt -from Pgplot import * +from presto.Pgplot import * import optparse -import sys -import singlepulse.spio as spio +import presto.singlepulse.spio as spio FRACTIONAL_SIGMA = 0.9 # change to 0.8? ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] DEBUG = True # if True, will be verbose + def dmthreshold(dm, use_dmplan, min_group=45): if use_dmplan: import singlepulse.rrattrap_config as rrattrap_config @@ -525,7 +518,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) # redundant with pgenv ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") ppgplot.pgsch(1.0) ppgplot.pgmtxt('T', 2.5, 0.3, 0.0, "Single Pulse Results for %s" % obsinfo['src']) diff --git a/python/presto/singlepulse/rrattrap_config.py b/python/presto/singlepulse/rrattrap_config.py index 957160312..ea5e19531 100644 --- a/python/presto/singlepulse/rrattrap_config.py +++ b/python/presto/singlepulse/rrattrap_config.py @@ -1,5 +1,5 @@ -from builtins import range #! /usr/bin/env python +from builtins import range CLOSE_DM = 2 # pc cm-3 # MIN_GROUP, DM_THRESH, TIME_THRESH will change later on depending on the DDplan. diff --git a/python/presto/singlepulse/sp_pgplot.py b/python/presto/singlepulse/sp_pgplot.py index 78b5e8d27..ac383f7b3 100755 --- a/python/presto/singlepulse/sp_pgplot.py +++ b/python/presto/singlepulse/sp_pgplot.py @@ -1,28 +1,25 @@ +""" + Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' + and the Python 'PPGPLOT' package + + Written by Scott M. Ransom (ransom@cfa.harvard.edu) + last revision: 01 Jul 2000 + + 'PGPLOT' was writtten by Tim Pearson , + and can be found at http://astro.caltech.edu/~tjp/pgplot/ + + 'PPGPLOT' was written by Nick Patavalis , + and can be found at http://ariadne.di.uoa.gr/ppgplot/ + _or_ an updated version is available in the same directory + where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom +""" from __future__ import print_function from builtins import range from builtins import object -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py - -## Automatically adapted for numpy Apr 14, 2006 by convertcode.py +import numpy as Num +from presto import ppgplot -# Routine for easy to use 1-D and 2-D plotting using 'PGPLOT' -# and the Python 'PPGPLOT' package -# -# Written by Scott M. Ransom (ransom@cfa.harvard.edu) -# last revision: 01 Jul 2000 -# -# 'PGPLOT' was writtten by Tim Pearson , -# and can be found at http://astro.caltech.edu/~tjp/pgplot/ -# -# 'PPGPLOT' was written by Nick Patavalis , -# and can be found at http://ariadne.di.uoa.gr/ppgplot/ -# _or_ an updated version is available in the same directory -# where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom -# -import numpy as Num -import types, math, ppgplot -import fileinput # True if we have an /XWIN or /XSERVE device open yet ppgplot_dev_open_ = 0 @@ -189,7 +186,7 @@ def dm_time_plot(dms, times, sigmas, dm_arr, sigma_arr, time_arr, Total_observed ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) ppgplot.pgslw(3) ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") snr_range = 12.0 cand_symbols = [] cand_symbols_group = [] diff --git a/python/presto/singlepulse/spcand.py b/python/presto/singlepulse/spcand.py index cd1f16140..ce215d6c2 100755 --- a/python/presto/singlepulse/spcand.py +++ b/python/presto/singlepulse/spcand.py @@ -2,10 +2,13 @@ from builtins import object import numpy as np from . import bary_and_topo + + def topo_timeshift(bary_start_time, time_shift, topo): ind = np.where(topo == float(int(bary_start_time)/10*10))[0] return time_shift[ind] + def numsub(nchans, snr): if not nchans==960 and np.log2(nchans).is_integer(): #Puppi L-wide and GBNCC if snr < 10: @@ -25,6 +28,7 @@ def numsub(nchans, snr): nsub = nchans return nsub + class params(object): """ A class for input parameters for the spd plots. diff --git a/python/presto/singlepulse/spio.py b/python/presto/singlepulse/spio.py index 91c6ffb77..1c8df6f02 100755 --- a/python/presto/singlepulse/spio.py +++ b/python/presto/singlepulse/spio.py @@ -4,6 +4,7 @@ import fileinput as _fileinput from scipy.special import erf + def get_textfile(txtfile): """ Read in the groups.txt file. Contains information about the DM, time, box car width, signal to noise, sample number and rank of groups. @@ -12,6 +13,7 @@ def get_textfile(txtfile): """ return _np.loadtxt(txtfile,dtype = 'str',delimiter='\n') + def group_info(rank, txtfile): """ Extracts out relevant information from the groups.txt file as strings. diff --git a/python/short_analysis_simple.py b/python/short_analysis_simple.py index c81edbbd4..da271d853 100644 --- a/python/short_analysis_simple.py +++ b/python/short_analysis_simple.py @@ -12,6 +12,7 @@ def myexecute(cmd): stdout.flush() system(cmd) + def main(): usage = "usage: %prog [options]" parser = OptionParser(usage) @@ -36,13 +37,13 @@ def main(): parser.add_option("-s", "--sigma", type="float", dest="sigma", default=2.0, help="Cutoff sigma to consider a candidate") (options, args) = parser.parse_args() - if (options.outdir[-1]!="/"): + if options.outdir[-1]!= "/": options.outdir = options.outdir+"/" - if (options.workdir!='.'): + if options.workdir!= '.': chdir(options.workdir) - if (options.nM >= 1000000): - if (options.nM % 1000000): - print "If you specify --num nM to be > 1000000, it must be divisible by 1000000." + if options.nM >= 1000000: + if options.nM % 1000000: + print("If you specify --num nM to be > 1000000, it must be divisible by 1000000.") exit(1) else: options.nM *= 1000000 @@ -69,23 +70,23 @@ def main(): point = 0 T = options.nM * inf.dt / 86400.0 baryv = get_baryv(idata.RA, idata.DEC, idata.epoch, T, obs='GB') - print "Baryv = ", baryv + print("Baryv = ", baryv) inf.N = options.nM inf.numonoff = 0 nM = options.nM / 1000000 - while (point + options.nM < N): + while point + options.nM < N: pM = point / 1000000 outname = basename[3:]+'_%03dM'%nM+'_%02d'%num stdout.write('\n'+outname+'\n\n') inf.name = outname tstartf = inf.mjd_f + num * T * options.frac - if (tstartf > 1.0): + if tstartf > 1.0: tstartf = tstartf - 1.0 inf.mjd_i = inf.mjd_i + 1 inf.mjd_f = tstartf writeinf(inf) - myexecute('dd if='+basename+'.dat of='+outname+'.dat bs=4000000 skip='+ - `pM`+' count='+`nM`) + myexecute('dd if=' + basename +'.dat of=' + outname +'.dat bs=4000000 skip=' + + repr(pM) + ' count=' + repr(nM)) myexecute('realfft '+outname+'.dat') myexecute('rm -f '+outname+'.dat') myexecute('cp '+birdname+' '+outname+'.birds') @@ -102,6 +103,7 @@ def main(): num = num + 1 point = point + int(options.nM * options.frac) + if __name__ == "__main__": main() diff --git a/python/wrappers/presto.py b/python/wrappers/presto.py index ecd58482d..98067c79d 100644 --- a/python/wrappers/presto.py +++ b/python/wrappers/presto.py @@ -44,10 +44,9 @@ def swig_import_helper(): except NameError: pass # Python < 2.2 doesn't have 'property'. -try: - import builtins as __builtin__ -except ImportError: - import __builtin__ +# works for python2 and python3 if future module is installed +import builtins as __builtin__ + def _swig_setattr_nondynamic(self, class_type, name, value, static=1): if (name == "thisown"): @@ -90,11 +89,13 @@ def _swig_repr(self): try: _object = object - _newclass = 1 except __builtin__.Exception: - class _object(object) : pass + class _object(object) : pass - _newclass = 0 + _newclass = False +else: + _newclass = True + class fcomplex(_object): __swig_setmethods__ = {} diff --git a/setup.py b/setup.py index 91e29715e..8b2c7b2b8 100644 --- a/setup.py +++ b/setup.py @@ -82,4 +82,5 @@ 'presto': 'python/presto', 'presto.singlepulse': 'python/presto/singlepulse', }, + package_data={'presto': ['python/presto/cosine_rand.json']}, ext_modules=[ext_ppgplot, ext_presto]) #, ext_fftfit]) diff --git a/tests/test_binary_calcs.py b/tests/test_binary_calcs.py index 8dafd6d6d..b0eebf173 100644 --- a/tests/test_binary_calcs.py +++ b/tests/test_binary_calcs.py @@ -1,6 +1,6 @@ import numpy as np -import presto -import binary_psr +from presto import presto +from presto import binary_psr import matplotlib.pyplot as plt N = 1000 # number of points in each orbit calc diff --git a/tests/test_max_rzw_harmonics.py b/tests/test_max_rzw_harmonics.py index 2b30270d9..f6e77686a 100644 --- a/tests/test_max_rzw_harmonics.py +++ b/tests/test_max_rzw_harmonics.py @@ -1,5 +1,5 @@ import numpy as np -import presto +from presto import presto from numpy.random import standard_normal as norm from numpy.random import uniform import time @@ -62,13 +62,13 @@ rzwtime += time.clock() - a rzwerrs[n] = (maxpow/numharm - theo_max_pow) / theo_max_pow, rmax - r, zmax - z, wmax - w -print "Time for rz:", rztime / numtrials -print "Time for rzw:", rzwtime / numtrials +print("Time for rz: %s".format(rztime / numtrials)) +print("Time for rzw: %s".format(rzwtime / numtrials)) -print "rzerrs:" -print " avg: %6.3f %6.3f %6.3f" % tuple(rzerrs.mean(axis=0)) -print " std: %6.3f %6.3f %6.3f" % tuple(rzerrs.std(axis=0)) +print("rzerrs:") +print(" avg: %6.3f %6.3f %6.3f" % tuple(rzerrs.mean(axis=0))) +print(" std: %6.3f %6.3f %6.3f" % tuple(rzerrs.std(axis=0))) -print "rzwerrs:" -print " avg: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.mean(axis=0)) -print " std: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.std(axis=0)) +print("rzwerrs:") +print(" avg: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.mean(axis=0))) +print(" std: %6.3f %6.3f %6.3f %6.3f" % tuple(rzwerrs.std(axis=0))) diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index a9fd1f0c1..0b50d9e8e 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -1,8 +1,12 @@ from __future__ import print_function import numpy as np -import presto +from presto import presto import os -import matplotlib.pyplot as plt +from os import path + +here = path.dirname(__file__) + + print("Testing FFT stuff...", end=' ') N = 20 @@ -28,7 +32,7 @@ print("success") print("Testing reading infiles...", end=' ') -x = presto.read_inffile("1937_DM71.02_zerodm.inf", verbose=False) +x = presto.read_inffile(path.join(here, "1937_DM71.02_zerodm.inf"), verbose=False) assert(x.telescope=="GBT") assert(x.mjd_i==55267) assert(x.dt==8.192e-05) From 605eaa0d3f6b204225119d388f9355ed2b9c92c6 Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 16:28:36 +0200 Subject: [PATCH 099/146] build and install fftfit using setup.py --- python/fftfit_src/{fftfit.pyf => _fftfit.pyf} | 4 ++-- python/fftfit_src/test_fftfit.py | 4 ++-- setup.py | 23 ++++++++++--------- 3 files changed, 16 insertions(+), 15 deletions(-) rename python/fftfit_src/{fftfit.pyf => _fftfit.pyf} (96%) diff --git a/python/fftfit_src/fftfit.pyf b/python/fftfit_src/_fftfit.pyf similarity index 96% rename from python/fftfit_src/fftfit.pyf rename to python/fftfit_src/_fftfit.pyf index cd17b2648..55811014b 100644 --- a/python/fftfit_src/fftfit.pyf +++ b/python/fftfit_src/_fftfit.pyf @@ -1,5 +1,5 @@ !%f90 -*- f90 -*- -python module fftfit ! in +python module _fftfit ! in interface ! in :fftfit subroutine cprof(y,nmax,nh,c,amp,pha) ! in :fftfit:brent.f,cprof.f,fccf.f,ffft.f,fftfit.f real*4 dimension(nmax) :: y @@ -23,7 +23,7 @@ python module fftfit ! in integer intent(out) :: ngood end subroutine fftfit end interface -end python module fftfit +end python module _fftfit ! This file was auto-generated with f2py (version:2.13.175-1250). ! See http://cens.ioc.ee/projects/f2py2e/ diff --git a/python/fftfit_src/test_fftfit.py b/python/fftfit_src/test_fftfit.py index 385004834..be7881081 100644 --- a/python/fftfit_src/test_fftfit.py +++ b/python/fftfit_src/test_fftfit.py @@ -10,8 +10,8 @@ # fftfit(prof,s,phi,nmax,shift,eshift,snr,esnr,b,errb,ngood) import numpy as num -from psr_utils import gaussian_profile, TWOPI -from fftfit import cprof, fftfit +from presto.psr_utils import gaussian_profile, TWOPI +from presto.fftfit import cprof, fftfit template = gaussian_profile(64, 0.5, 0.1) c,amp,pha = cprof(template) diff --git a/setup.py b/setup.py index 8b2c7b2b8..aeb7f8540 100644 --- a/setup.py +++ b/setup.py @@ -2,8 +2,10 @@ import os import sys import numpy -from numpy.distutils.core import Extension, setup +# setuptools has to be imported before numpy.distutils.core +import setuptools +from numpy.distutils.core import Extension, setup version = "2.2" @@ -56,16 +58,15 @@ define_macros=define_macros, extra_compile_args=extra_compile_args) -# not working yet -ext_fftfit = Extension('fftfit', sources=['python/fftfit_src/brent.f', - 'python/fftfit_src/bcprof.f', - 'python/fftfit_src/bfccf.f', - 'python/fftfit_src/bffft.f', - 'python/fftfit_src/bfftfit.f', - 'python/fftfit_src/bfftfit.pyf']) +ext_fftfit = Extension('_fftfit', sources=['python/fftfit_src/brent.f', + 'python/fftfit_src/cprof.f', + 'python/fftfit_src/fccf.f', + 'python/fftfit_src/ffft.f', + 'python/fftfit_src/fftfit.f', + 'python/fftfit_src/_fftfit.pyf']) -scripts = ['bin/' + i for i in os.listdir('bin')] +scripts = ['bin/' + i for i in os.listdir('bin') if i.endswith('.py') or i.endswith('.sh')] setup(name="presto", @@ -82,5 +83,5 @@ 'presto': 'python/presto', 'presto.singlepulse': 'python/presto/singlepulse', }, - package_data={'presto': ['python/presto/cosine_rand.json']}, - ext_modules=[ext_ppgplot, ext_presto]) #, ext_fftfit]) + package_data={'presto': ['*.json']}, + ext_modules=[ext_ppgplot, ext_presto, ext_fftfit]) From eb78f7cd4df7bfd0f2e97c406d1cd424573f19da Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Wed, 10 Oct 2018 16:29:02 +0200 Subject: [PATCH 100/146] more error fixing --- bin/{a2x => a2x.sh} | 0 bin/event_peak.py | 7 + bin/fb_truncate.py | 56 +- bin/filter_zerolags.py | 6 + bin/fit_circular_orbit.py | 4 + bin/guppidrift2fil.py | 12 +- bin/{pfd2png => pfd2png.sh} | 0 bin/plot_spd.py | 530 +------- bin/psrfits2fil.py | 46 +- bin/pulsestack.py | 1797 +++++++++++++------------ bin/rfifind_stats.py | 6 + bin/rrattrap.py | 2 +- bin/weights_to_ignorechan.py | 5 + python/Makefile | 15 - python/presto/cosine_rand.pickle | Bin 8146 -> 0 bytes python/presto/fftfit.py | 1 + python/presto/singlepulse/__init__.py | 18 +- python/presto/singlepulse/make_spd.py | 505 +++---- python/presto/singlepulse/plot_spd.py | 337 ++--- python/presto/singlepulse/rrattrap.py | 2 +- 20 files changed, 1431 insertions(+), 1918 deletions(-) rename bin/{a2x => a2x.sh} (100%) rename bin/{pfd2png => pfd2png.sh} (100%) delete mode 100644 python/Makefile delete mode 100644 python/presto/cosine_rand.pickle create mode 100644 python/presto/fftfit.py diff --git a/bin/a2x b/bin/a2x.sh similarity index 100% rename from bin/a2x rename to bin/a2x.sh diff --git a/bin/event_peak.py b/bin/event_peak.py index a295edd41..18e97e63c 100755 --- a/bin/event_peak.py +++ b/bin/event_peak.py @@ -1,14 +1,21 @@ #!/usr/bin/env python from __future__ import print_function import numpy as num +import sys import presto.events as evts from presto import kuiper from presto.Pgplot import * +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + + def calc_phases(events, f, fd): return num.fmod(events*(f+(0.5*fd*events)), 1.0) + events = num.loadtxt(sys.argv[1]) events.sort() print("Read %d events from '%s'." % (events.size, sys.argv[1])) diff --git a/bin/fb_truncate.py b/bin/fb_truncate.py index b91fb28c4..019761f59 100755 --- a/bin/fb_truncate.py +++ b/bin/fb_truncate.py @@ -9,13 +9,15 @@ import sys import copy -import optparse +from argparse import ArgumentParser import numpy as np from presto import filterbank BLOCKSIZE = 1e5 # Number of spectra to manipulate at once -def main(): + + +def main(args): infn = args[0] print("Reading filterbank file (%s)" % infn) fil = filterbank.FilterbankFile(infn) @@ -106,36 +108,34 @@ def main(): if __name__ == '__main__': - parser = optparse.OptionParser(prog='fb_truncate.py', \ - version="v0.1 Patrick Lazarus (Aug. 28, 2012)") - parser.add_option("-L", "--lo-freq", dest="lo_freq", type='float', \ - help="Desired low frequency for output file. Note: " \ - "actual low frequency will be rounded to the nearest" \ - "channel (Default: Don't truncate low-freq channels)", \ + parser = ArgumentParser(description="v0.1 Patrick Lazarus (Aug. 28, 2012)") + parser.add_argument("-L", "--lo-freq", dest="lo_freq", type=float, + help="Desired low frequency for output file. Note: " + "actual low frequency will be rounded to the nearest" + "channel (Default: Don't truncate low-freq channels)", default=None) - parser.add_option("-H", "--hi-freq", dest="hi_freq", type='float', \ - help="Desired high frequency for output file. Note: " \ - "actual high frequency will be rounded to the nearest" \ - "channel (Default: Don't truncate high-freq channels)", \ + parser.add_argument("-H", "--hi-freq", dest="hi_freq", type=float, + help="Desired high frequency for output file. Note: " + "actual high frequency will be rounded to the nearest" + "channel (Default: Don't truncate high-freq channels)", default=None) - parser.add_option("-s", "--start-time", dest="start_time", type='float', \ - help="Start of desired range of input file to write " \ - "to output file. Note: The actual start time will " \ - "be rounded to the nearest sample.(Default: Don't " \ + parser.add_argument("-s", "--start-time", dest="start_time", type=float, + help="Start of desired range of input file to write " + "to output file. Note: The actual start time will " + "be rounded to the nearest sample.(Default: Don't " "truncate from start of file.)", default=None) - parser.add_option("-e", "--end-time", dest="end_time", type='float', \ - help="End of desired range of input file to write " \ - "to output file. Note: The actual end time will " \ - "be rounded to the nearest sample. (Default: " \ + parser.add_argument("-e", "--end-time", dest="end_time", type=float, + help="End of desired range of input file to write " + "to output file. Note: The actual end time will " + "be rounded to the nearest sample. (Default: " "Don't truncate from end of file.)", default=None) - parser.add_option("--block-size", dest='block_size', default=BLOCKSIZE, \ - type='float', \ - help="Number of spectra per block. This is the amount " \ - "of data manipulated/written at a time. (Default: " \ + parser.add_argument("--block-size", dest='block_size', default=BLOCKSIZE, + type=float, + help="Number of spectra per block. This is the amount " + "of data manipulated/written at a time. (Default: " " %d spectra)" % BLOCKSIZE) - parser.add_option("-o", "--outname", dest='outname', action='store', \ + parser.add_argument("-o", "--outname", dest='outname', action='store', required=True, help="The name of the output file.") (options, args) = parser.parse_args() - if not hasattr(options, 'outname'): - raise ValueError("An output file name _must_ be provided!") - main() + + main(args) diff --git a/bin/filter_zerolags.py b/bin/filter_zerolags.py index aafd5c018..e2a454c40 100755 --- a/bin/filter_zerolags.py +++ b/bin/filter_zerolags.py @@ -4,6 +4,12 @@ import numpy as N import sys, scipy.io, scipy.signal + +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + + plot=0 infilenm = sys.argv[1] diff --git a/bin/fit_circular_orbit.py b/bin/fit_circular_orbit.py index 78620ed08..9e304f56d 100755 --- a/bin/fit_circular_orbit.py +++ b/bin/fit_circular_orbit.py @@ -12,6 +12,7 @@ period = num.asarray([]) time = num.asarray([]) + def parse_eph(filenm): global period, time suffix = filenm.split(".")[-1] @@ -41,14 +42,17 @@ def parse_eph(filenm): period = num.concatenate((period, newps)) print("%13.7f (%0.1f sec): " % (epoch, T), fs) + def orbeqn(Ppxt, times): # P = Ppsr, p = Porb, x = a*sin(i)/s, t = T_o phi = pu.TWOPI*(times - Ppxt[3])*86400.0/Ppxt[1] return Ppxt[0]*(1.0+pu.TWOPI*Ppxt[2]/Ppxt[1]*num.cos(phi)) + def funct(Ppxt, times, measured): return orbeqn(Ppxt, times) - measured + if __name__ == '__main__': if len(sys.argv)==1: print("\nusage: fit_circular_orbit.py P_psr P_orb X_orb parfiles or bestprofs") diff --git a/bin/guppidrift2fil.py b/bin/guppidrift2fil.py index 2350bd41d..23944a62c 100755 --- a/bin/guppidrift2fil.py +++ b/bin/guppidrift2fil.py @@ -268,12 +268,12 @@ def main(fits_fn, outfn, nbits, \ input_nbits=input_nbits) if flip_band: subint = np.fliplr(subint) - subint /= scale_fac - outfil.append_spectra(subint) - pcnt = "%d" % (i*100.0/output_subints) - if pcnt != oldpcnt: - sys.stdout.write("% 4s%% complete\r" % pcnt) - sys.stdout.flush() + subint /= scale_fac + outfil.append_spectra(subint) + pcnt = "%d" % (i*100.0/output_subints) + if pcnt != oldpcnt: + sys.stdout.write("% 4s%% complete\r" % pcnt) + sys.stdout.flush() print("Done ") outfil.close() diff --git a/bin/pfd2png b/bin/pfd2png.sh similarity index 100% rename from bin/pfd2png rename to bin/pfd2png.sh diff --git a/bin/plot_spd.py b/bin/plot_spd.py index 06fc1d83f..c5305a432 100755 --- a/bin/plot_spd.py +++ b/bin/plot_spd.py @@ -1,531 +1,5 @@ #! /usr/bin/env python -""" -plot_spd.py - -Generate spd plots either using information from the .spd files that are generated by make_spd.py. -Usage: plot_spd.py [OPTIONS] <.spd file> <.singlepulse files (optional: - if not provided, will leave DM vs Time window blank).> - -Chitrang Patel - June 10, 2016. -""" -from __future__ import print_function -from builtins import map -import numpy as np -import optparse -import tarfile -from subprocess import Popen, PIPE -import presto.singlepulse.sp_pgplot as sp_pgplot -import presto.singlepulse.read_spd as read_spd -import presto.singlepulse.spio as spio - - -def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", just_waterfall=True, \ - integrate_spec=True, integrate_ts=True, disp_pulse=True, tar=None): - """ - Generates spd plots which include the following subplots: - De-dispersed Zero-DM filtered Waterfall plot - De-dispersed Waterfall plot - optional subplots: - Dispersed Zero-DM filtered Waterfall plot (Inset of the corresponding dedispersed plot). - Dispersed Waterfall plot ((Inset of the corresponding dedispersed plot).). - Dedispersed zero-DM filtered time series for the corresponding waterfall plot. - Dedispersed time series for the corresponding waterfall plot. - Spectra of the de-dispersed pulse for each of the above waterfalled plots. - SNR vs DM - DM vs. Time - - Inputs: - spdfile: A .spd file. - Optional Inputs: - spec_width: Twice this number times the pulse_width around the pulse to consider for the spectrum - loc_pulse: Fraction of the window length where the pulse is located.(eg. 0.25 = 1/4th of the way in. - 0.5 = middle of the plot) - singlepulsefiles: list of .singlepulse files - xwin: plot in an xwin window? - outfile: name of the output file you want. - just_waterfall: Do you only want to display the waterfall plots? - integrate_spec: Do you want to show the pulse spectrum? - integrate_ts: Do you want to show the time series? - disp_pulse: Do you want to show the inset dispersed pulse? - tar: Supply the tarball of the singlepulse files instead of individual files. - """ - if not spdfile.endswith(".spd"): - raise ValueError("The first file must be a .spd file") - #npzfile = np.load(spdfile) - spdobj = read_spd.spd(spdfile) - ##### Read in the header information and other required variables for the plots. ###### - #text_array = npzfile['text_array'] - man_params = spdobj.man_params - fn = spdobj.filename - telescope = spdobj.telescope - RA = spdobj.ra - dec = spdobj.dec - MJD = spdobj.mjd - mjd = Popen(["mjd2cal", "%f"%MJD], stdout=PIPE, stderr=PIPE) - date, err = mjd.communicate() - date = date.split()[2:5] - rank = spdobj.rank - nsub = spdobj.waterfall_nsubs - nbins = spdobj.nsamp - subdm = dm = sweep_dm = spdobj.best_dm - sigma = spdobj.sigma - sample_number = spdobj.pulse_peak_sample - duration = spdobj.waterfall_duration - width_bins = spdobj.pulsewidth_bins - pulse_width = spdobj.pulsewidth_seconds - tsamp = spdobj.tsamp - Total_observed_time = spdobj.total_obs_time - topo_start = spdobj.pulse_peak_time - start = topo_start - loc_pulse*duration - datastart = spdobj.waterfall_start_time - datasamp = spdobj.waterfall_tsamp - datanumspectra = spdobj.waterfall_prededisp_nbins - min_freq = spdobj.min_freq - max_freq = spdobj.max_freq - sweep_duration = spdobj.sweep_duration - sweeped_start = spdobj.sweep_start_time - bary_start = spdobj.bary_pulse_peak_time - downsamp = datasamp/tsamp - if xwin: - pgplot_device = "/XWIN" - else: - pgplot_device = "" - if pgplot_device: - sp_pgplot.ppgplot.pgopen(pgplot_device) - else: - if (outfile == "spdplot"): # default filename - if rank: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) - else: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) - else: - if rank: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) - else: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) - if (just_waterfall == False): - sp_pgplot.ppgplot.pgpap(10.25, 8.5/11.0) - # Dedispersed waterfall plot - zerodm - OFF - array = spdobj.data_nozerodm_dedisp.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.50, 0.80) - sp_pgplot.ppgplot.pgswin(datastart-start, datastart-start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - if not integrate_spec: - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - - #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.80, 0.90) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgsci(1) - - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(Dedisp_ts)]) - erry2 = np.array([np.std(Dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - Off - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.5, 0.8) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.1, 0.40) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - if not integrate_spec: - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") - array = spdobj.data_zerodm_dedisp.astype(np.float64) - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') - #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.40, 0.50) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(dedisp_ts)]) - erry2 = np.array([np.std(dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - On - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.1, 0.4) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - - if disp_pulse: - # Sweeped waterfall plot Zerodm - OFF - array = spdobj.data_nozerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.50, 0.70) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - delays = spdobj.dmsweep_delays - freqs = spdobj.dmsweep_freqs - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgslw(3) - - # Sweeped waterfall plot Zerodm - ON - array = spdobj.data_zerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.1, 0.3) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - - #### Figure texts - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.81, 0.97, 0.64, 0.909) - sp_pgplot.ppgplot.pgsch(0.62) - else: - sp_pgplot.ppgplot.pgsvp(0.745, 0.97, 0.64, 0.909) - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\u-3\d" %dm) - if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: %.2f" %sigma) - else: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\dMAX\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) - sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) - sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) - - #DM vs SNR - if not man_params: - dm_arr = np.float32(spdobj.dmVt_this_dms) - sigma_arr = np.float32 (spdobj.dmVt_this_sigmas) - time_arr = np.float32 (spdobj.dmVt_this_times) - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) - sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95*np.min(sigma_arr), 1.05*np.max(sigma_arr)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") - sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) - else: - dm_arr = np.array([]) - sigma_arr = np.array([]) - time_arr = np.array([]) - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\u-3\d)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") - - # DM vs Time - print("Making arrays for DM vs time plot") - spfiles = singlepulsefiles - threshold = 5.0 - if len(spfiles) > 2: - dm_list = list(map(np.float32, list(dm_arr))) - time_list = list(map(np.float32, list(time_arr))) - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) - dms, times, sigmas, widths, filelist = spio.gen_arrays(dm_arr, spfiles, tar, threshold) - sp_pgplot.dm_time_plot(dms, times, sigmas, dm_list, sigma_arr, time_list, Total_observed_time, xwin) - else: - print("You need a .singlepulse.tgz file to plot DM vs Time plot.") - if integrate_spec: - sp_pgplot.ppgplot.pgsvp(0.55, 0.97, 0.1, 0.54) - else: - sp_pgplot.ppgplot.pgsvp(0.48, 0.97, 0.1, 0.54) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") - else: - #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) - sp_pgplot.ppgplot.pgpap(8.0, 1.5) - # Dedispersed waterfall plot - zerodm - OFF - array = spdobj.data_nozerodm_dedisp.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart -start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - - #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.75, 0.83) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgsci(1) - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(Dedisp_ts)]) - erry2 = np.array([np.std(Dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - Off - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.7, 0.9, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON - array = spdobj.data_zerodm_dedisp.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) - sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') - - - #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: - sp_pgplot.ppgplot.pgsvp(0.1, 0.7, 0.36, 0.44) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) - erry1 = np.array([0.60 * np.max(dedisp_ts)]) - erry2 = np.array([np.std(dedisp_ts)]) - errx2 = np.array([pulse_width]) - sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) - sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - - #### Plot Spectrum - Zerodm filter - On - if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] - Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) - sp_pgplot.ppgplot.pgsvp(0.70, 0.90, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) - sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") - sp_pgplot.ppgplot.pgsch(0.7) - sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") - sp_pgplot.ppgplot.pgsch(0.8) - if disp_pulse: - # Sweeped waterfall plot Zerodm - OFF - array = spdobj.data_nozerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.44, 0.65) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - delays = spdobj.dmsweep_delays - freqs = spdobj.dmsweep_freqs - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgslw(3) - - # Sweeped waterfall plot Zerodm - ON - array = spdobj.data_zerodm.astype(np.float64) - sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.05, 0.25) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) - sp_pgplot.ppgplot.pgsch(0.8) - sp_pgplot.ppgplot.pgslw(4) - sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) - sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') - sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration - sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) - sp_pgplot.ppgplot.pgsci(1) - - #### Figure texts - sp_pgplot.ppgplot.pgsvp(0.05, 0.95, 0.8, 0.9) - sp_pgplot.ppgplot.pgsch(0.65) - sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\u-3\d" %dm) - if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: %.2f" %sigma) - else: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) - sp_pgplot.ppgplot.pgiden() - sp_pgplot.ppgplot.pgclos() - -def main(): - parser = optparse.OptionParser(prog="plot_spd.py", \ - usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") - parser.add_option("-x", "--xwin", action="store_true", dest="xwin", - default=False, help="Don't make a postscript plot, just use an X-window") - parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", \ - help= "give a base name to the saved plot. DM, time and" \ - "rank values will be added automatically" ) - parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" \ - "is the window around the pulse considered for the spectrum. (Default: 1.5)", \ - default=1.5) - parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." \ - "(Default: 0.5 half way in.)", \ - default=0.5) - parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", - default=False, help="Just produce the waterfall plots.") - parser.add_option("--show-spec", action="store_true", dest="integrate_spec", - default=False, help="Show spectrum.(Default: Show spectrum)") - parser.add_option("--show-ts", action="store_true", dest="integrate_ts", - default=False, help="Show time series.(Default: Don't show time series)") - parser.add_option("--show-sweep", action="store_true", dest="disp_pulse", - default=False, help="Show dispersed pulse.(Default: Don't show dispersed pulse)") - (options, args) = parser.parse_args() - - if len(args) == 0: - raise ValueError("need a .spd file and .singlepulse files in that order.") - if not args[0].endswith(".spd"): - raise ValueError("the first file must be a .spd file") - if len(args) == 2: - tar = tarfile.open(args[1], "r:gz")# read in the tarball - filenames = tar.getnames()# get the filenames - plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar)# make the sp plots - tar.close() - else: - plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, \ - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None)# make the sp plots +from presto.singlepulse.plot_spd import main if __name__ == '__main__': - main() + main() diff --git a/bin/psrfits2fil.py b/bin/psrfits2fil.py index 482a1ccff..92ec10195 100755 --- a/bin/psrfits2fil.py +++ b/bin/psrfits2fil.py @@ -30,7 +30,7 @@ def translate_header(psrfits_file): fil_header["data_type"] = 1 # filterbank fn = psrfits_file.filename - fil_header["rawdatafile"] = os.path.basename(fn) + fil_header["rawdatafile"] = os.path.basename(fn) fil_header["source_name"] = fits_hdr['SRC_NAME'] fil_header["barycentric"] = 0 # always not barycentered? fil_header["pulsarcentric"] = 0 # whats pulsarcentric? @@ -54,13 +54,13 @@ def translate_header(psrfits_file): fil_header["nifs"] = subint_hdr['NPOL'] return fil_header - + def main(fits_fn, outfn, nbits, \ apply_weights, apply_scales, apply_offsets): start = time.time() psrfits_file = psrfits.PsrfitsFile(fits_fn) - fil_header = translate_header(psrfits_file) + fil_header = translate_header(psrfits_file) fil_header['nbits'] = nbits outfil = filterbank.create_filterbank_file(outfn, fil_header, \ nbits=nbits) @@ -92,7 +92,7 @@ def main(fits_fn, outfn, nbits, \ print("\tScaling data by",1/scale_fac) print("\tValues larger than",new_max,"(pre-scaling) "\ "will be set to",2.0**nbits - 1,"\n") - + else: scale = False scale_fac = 1 @@ -107,14 +107,13 @@ def main(fits_fn, outfn, nbits, \ sys.stdout.flush() oldpcnt = "" for isub in range(int(psrfits_file.nsubints)): - subint = psrfits_file.read_subint(isub, \ - apply_weights, apply_scales, apply_offsets) + subint = psrfits_file.read_subint(isub, apply_weights, apply_scales, apply_offsets) if flip_band: subint = np.fliplr(subint) - subint /= scale_fac - outfil.append_spectra(subint) - pcnt = "%d" % (isub*100.0/psrfits_file.nsubints) - if pcnt != oldpcnt: + subint /= scale_fac + outfil.append_spectra(subint) + pcnt = "%d" % (isub*100.0/psrfits_file.nsubints) + if pcnt != oldpcnt: sys.stdout.write("% 4s%% complete\r" % pcnt) sys.stdout.flush() @@ -123,29 +122,30 @@ def main(fits_fn, outfn, nbits, \ print("Runtime:",time.time() - start) + if __name__=='__main__': - parser = optparse.OptionParser(prog='psrfits2fil.py', \ - version="v0.2 Paul Scholz, Patrick Lazarus (Sept 2012)", \ + parser = optparse.OptionParser(prog='psrfits2fil.py', + version="v0.2 Paul Scholz, Patrick Lazarus (Sept 2012)", usage = "usage: %prog [options] input_fits") parser.add_option("-n",dest='nbits', action='store', default=8, type='int', - help="The number of bits in the output .fil file. " +\ + help="The number of bits in the output .fil file. " + "Default=8") parser.add_option("-o",dest='outfn',action='store', - default=None, type='string', - help="The filename of the output filterbank file. " +\ + default=None, type='string', + help="The filename of the output filterbank file. " + "Default: same as .fits input but with .fil extn") - parser.add_option("--noweights", dest='apply_weights', \ - default=True, action="store_false", \ + parser.add_option("--noweights", dest='apply_weights', + default=True, action="store_false", help="Do not apply weights when converting data.") - parser.add_option("--noscales", dest='apply_scales', \ - default=True, action="store_false", \ + parser.add_option("--noscales", dest='apply_scales', + default=True, action="store_false", help="Do not apply scales when converting data.") - parser.add_option("--nooffsets", dest='apply_offsets', \ - default=True, action="store_false", \ + parser.add_option("--nooffsets", dest='apply_offsets', + default=True, action="store_false", help="Do not apply offsets when converting data.") (options, args) = parser.parse_args() - + fits_fn = args[0] if options.outfn: @@ -153,5 +153,5 @@ def main(fits_fn, outfn, nbits, \ else: outfn = '.'.join(fits_fn.split('.')[:-1]) + '.fil' - main(fits_fn, outfn, options.nbits, options.apply_weights, \ + main(fits_fn, outfn, options.nbits, options.apply_weights, options.apply_scales, options.apply_offsets) diff --git a/bin/pulsestack.py b/bin/pulsestack.py index 67a4d6af6..f1dbe601a 100755 --- a/bin/pulsestack.py +++ b/bin/pulsestack.py @@ -31,7 +31,7 @@ import optparse as opt import presto.infodata as inf import presto.polycos as poly - +from presto import sigproc # importing VariableColormap from kapteyn module of it exists try: @@ -46,87 +46,88 @@ # get the period from the polyco-file with the fileid=pid # using the best record in the polyco-file for the mjd=mjd def get_period (id, mjd): - return 1. / id.get_phs_and_freq(float(str(mjd).split(".")[0]), float("0."+str(mjd).split(".")[1]))[1] + return 1. / id.get_phs_and_freq(float(str(mjd).split(".")[0]), float("0."+str(mjd).split(".")[1]))[1] + # I took this part from the Scott's single_pulse_search.py def detrending (data, is_fast): - # Compute the file length in detrendlens - roundN = np.size(data)/detrendlen * detrendlen - data = data[:roundN] # here we redefining the arrat and loosing some samples - # Split the data into chunks for detrending - numblocks = roundN/detrendlen - data.shape = (numblocks, detrendlen) - stds = np.zeros(numblocks, dtype=np.float64) - # de-trend the data one chunk at a time and compute statistics - for ii, chunk in enumerate(data): - if is_fast: # use median removal instead of detrending (2x speedup) - tmpchunk = chunk.copy() - tmpchunk.sort() - med = tmpchunk[detrendlen/2] - chunk -= med - tmpchunk -= med - else: - # The detrend calls are the most expensive in the program - data[ii] = scipy.signal.detrend(chunk, type='linear') - tmpchunk = data[ii].copy() - tmpchunk.sort() - # The following gets rid of (hopefully) most of the - # outlying values (i.e. power dropouts and single pulses) - # If you throw out 5% (2.5% at bottom and 2.5% at top) - # of random gaussian deviates, the measured stdev is ~0.871 - # of the true stdev. Thus the 1.0/0.871=1.148 correction below. - # The following is roughly .std() since we already removed the median - stds[ii] = np.sqrt((tmpchunk[detrendlen/40:-detrendlen/40]**2.0).sum() / (0.95*detrendlen)) - - stds *= 1.148 - # sort the standard deviations and separate those with - # very low or very high values - sort_stds = stds.copy() - sort_stds.sort() - # identify the differences with the larges values (this - # will split off the chunks with very low and very high stds - locut = (sort_stds[1:numblocks/2+1] - sort_stds[:numblocks/2]).argmax() + 1 - hicut = (sort_stds[numblocks/2+1:] - sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 - std_stds = scipy.std(sort_stds[locut:hicut]) - median_stds = sort_stds[(locut+hicut)/2] - lo_std = median_stds - 4.0 * std_stds - hi_std = median_stds + 4.0 * std_stds - # Determine a list of "bad" chunks. We will not search these. - bad_blocks = np.nonzero((stds < lo_std) | (stds > hi_std))[0] - stds[bad_blocks] = median_stds - - # Now normalize all of the data and reshape it to 1-D - data /= stds[:,np.newaxis] - data.shape = (roundN,) - - return data + # Compute the file length in detrendlens + roundN = np.size(data)/detrendlen * detrendlen + data = data[:roundN] # here we redefining the arrat and loosing some samples + # Split the data into chunks for detrending + numblocks = roundN/detrendlen + data.shape = (numblocks, detrendlen) + stds = np.zeros(numblocks, dtype=np.float64) + # de-trend the data one chunk at a time and compute statistics + for ii, chunk in enumerate(data): + if is_fast: # use median removal instead of detrending (2x speedup) + tmpchunk = chunk.copy() + tmpchunk.sort() + med = tmpchunk[detrendlen/2] + chunk -= med + tmpchunk -= med + else: + # The detrend calls are the most expensive in the program + data[ii] = scipy.signal.detrend(chunk, type='linear') + tmpchunk = data[ii].copy() + tmpchunk.sort() + # The following gets rid of (hopefully) most of the + # outlying values (i.e. power dropouts and single pulses) + # If you throw out 5% (2.5% at bottom and 2.5% at top) + # of random gaussian deviates, the measured stdev is ~0.871 + # of the true stdev. Thus the 1.0/0.871=1.148 correction below. + # The following is roughly .std() since we already removed the median + stds[ii] = np.sqrt((tmpchunk[detrendlen/40:-detrendlen/40]**2.0).sum() / (0.95*detrendlen)) + + stds *= 1.148 + # sort the standard deviations and separate those with + # very low or very high values + sort_stds = stds.copy() + sort_stds.sort() + # identify the differences with the larges values (this + # will split off the chunks with very low and very high stds + locut = (sort_stds[1:numblocks/2+1] - sort_stds[:numblocks/2]).argmax() + 1 + hicut = (sort_stds[numblocks/2+1:] - sort_stds[numblocks/2:-1]).argmax() + numblocks/2 - 2 + std_stds = scipy.std(sort_stds[locut:hicut]) + median_stds = sort_stds[(locut+hicut)/2] + lo_std = median_stds - 4.0 * std_stds + hi_std = median_stds + 4.0 * std_stds + # Determine a list of "bad" chunks. We will not search these. + bad_blocks = np.nonzero((stds < lo_std) | (stds > hi_std))[0] + stds[bad_blocks] = median_stds + + # Now normalize all of the data and reshape it to 1-D + data /= stds[:,np.newaxis] + data.shape = (roundN,) + + return data # gives the short list of options without explanations def list_options(prg): - print("Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg)) - print() - print("Options:") - print(" [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]") - print(" [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]") - print(" [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]") - print(" [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]") - print(" [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]") - print(" [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]") - print(" [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]") - print(" [--tim] [--events] [-l, --list]") - print(" [-2, --double] [-m, --mjd MJD] [--tsamp TIME]") - print(" [--chandra]") - print() - print("Graphics Options:") - print(" [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]") - print(" [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]") - print(" [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]") - print(" [--cmap COLORMAP] [-c, --colorbar] [--title STR]") - print(" [--legend STR] [--loc STR] [-g, --grid]") - print(" [--titlepos STR] [--label STR] [--labelpos STR]") - print(" [--no-top-axis] [--no-right-axis]") - if kapteyn_loaded: - print(" [--cmap-scale SCALE]") + print("Usage: %s [options] <.dat OR .tim (use --tim option)>" % (prg)) + print() + print("Options:") + print(" [-h, --help] [-n, --nbins #BINS] [-p, --pulsar NAME]") + print(" [--polyco FILE] [--period PERIOD] [-b, --block SAMPLES]") + print(" [-s, --startphase PHASE] [-e, --endphase PHASE] [--start TIME]") + print(" [-w, --window TIME] [-f, --fast-detrend] [--no-detrend]") + print(" [-t, --timeseries] [-a, --rebin FACTOR] [-y, --profileonly]") + print(" [-k, --stacking] [--offset OFFSET] [-d, --dump #PULSES | TIME]") + print(" [--saveprof FILE] [--saveonly] [-i, --image FILEEXT]") + print(" [--tim] [--events] [-l, --list]") + print(" [-2, --double] [-m, --mjd MJD] [--tsamp TIME]") + print(" [--chandra]") + print() + print("Graphics Options:") + print(" [--fontsize SIZE] [--color COLOR] [--linestyle STYLE]") + print(" [--linewidth WIDTH] [--marker TYPE] [--markercolor COLOR]") + print(" [--markerwidth WIDTH] [--markersize SIZE] [--facecolor COLOR]") + print(" [--cmap COLORMAP] [-c, --colorbar] [--title STR]") + print(" [--legend STR] [--loc STR] [-g, --grid]") + print(" [--titlepos STR] [--label STR] [--labelpos STR]") + print(" [--no-top-axis] [--no-right-axis]") + if kapteyn_loaded: + print(" [--cmap-scale SCALE]") ################################################################################################################################### @@ -137,101 +138,101 @@ def list_options(prg): # # Parsing the command line options # - usage = "Usage: %prog [options] <.dat OR .tim (use --tim option)>" - cmdline = opt.OptionParser(usage) - cmdline.add_option('-n', '--nbins', dest='nbins', metavar='#BINS', - help="number of phase bins per pulsar period (default: number of samples)", default=-1, type='int') - cmdline.add_option('-p', '--pulsar', dest='psrname', metavar='NAME', - help="pulsar name to be used for polyco instead of inf-file", type='str') - cmdline.add_option('--polyco', dest='polycofile', metavar='FILE', - help="polyco file to be used for folding (default: %default)", default="polyco.dat", type='str') - cmdline.add_option('--period', dest='period', metavar='PERIOD', - help="period in ms for folding. If not given then will use 'polyco.dat'", default=-1, type='float') - cmdline.add_option('-s', '--startphase', dest='phase_start', metavar='PHASE', - help="start phase to plot", default=0.0, type='float') - cmdline.add_option('-e', '--endphase', dest='phase_end', metavar='PHASE', - help="end phase to plot", default=1.0, type='float') - cmdline.add_option('--start', dest='start_time', metavar='TIME', - help="time offset from the start in seconds (default: %default)", default=0, type='float') - cmdline.add_option('-w', '--window', dest='window_time', metavar='TIME', - help="duration of the window in seconds (default: whole file)", default=-1, type='float') - cmdline.add_option('-b', '--block', dest='blocksize', metavar='SAMPLES', - help="size of the block for reading the dat-file when folding profile. When using polyco file " - "period is updated for every block. So, for very close binaries this block size " - "should be probably very small. The smallest is 3000. Default: %default", default=1000000, type='int') - cmdline.add_option('-f', '--fast-detrend', action="store_true", dest="fast_detrend", + usage = "Usage: %prog [options] <.dat OR .tim (use --tim option)>" + cmdline = opt.OptionParser(usage) + cmdline.add_option('-n', '--nbins', dest='nbins', metavar='#BINS', + help="number of phase bins per pulsar period (default: number of samples)", default=-1, type='int') + cmdline.add_option('-p', '--pulsar', dest='psrname', metavar='NAME', + help="pulsar name to be used for polyco instead of inf-file", type='str') + cmdline.add_option('--polyco', dest='polycofile', metavar='FILE', + help="polyco file to be used for folding (default: %default)", default="polyco.dat", type='str') + cmdline.add_option('--period', dest='period', metavar='PERIOD', + help="period in ms for folding. If not given then will use 'polyco.dat'", default=-1, type='float') + cmdline.add_option('-s', '--startphase', dest='phase_start', metavar='PHASE', + help="start phase to plot", default=0.0, type='float') + cmdline.add_option('-e', '--endphase', dest='phase_end', metavar='PHASE', + help="end phase to plot", default=1.0, type='float') + cmdline.add_option('--start', dest='start_time', metavar='TIME', + help="time offset from the start in seconds (default: %default)", default=0, type='float') + cmdline.add_option('-w', '--window', dest='window_time', metavar='TIME', + help="duration of the window in seconds (default: whole file)", default=-1, type='float') + cmdline.add_option('-b', '--block', dest='blocksize', metavar='SAMPLES', + help="size of the block for reading the dat-file when folding profile. When using polyco file " + "period is updated for every block. So, for very close binaries this block size " + "should be probably very small. The smallest is 3000. Default: %default", default=1000000, type='int') + cmdline.add_option('-f', '--fast-detrend', action="store_true", dest="fast_detrend", help="Use a faster method of de-trending the time-series (2x speedup). " "Sometimes (for strong pulsars (?), many strong pulses of which could effect calculation " "of the linear trend) this method produces even better results when only median is subtracted", default=False) - cmdline.add_option('--no-detrend', action="store_true", dest="is_no_detrend", - help="do not detrend the data", default=False) - cmdline.add_option('-a', '--rebin', dest='rebin', metavar='FACTOR', - help="averaging time series by FACTOR (default: %default)", default=1, type='int') - cmdline.add_option('-t', '--timeseries', action="store_true", dest="is_timeseries", - help="no folding. Time series will be plotted", default=False) - cmdline.add_option('-y', '--profileonly', action="store_true", dest="is_profileonly", - help="only plot the average profile. No stack of pulses or subints", default=False) - cmdline.add_option('-2', '--double', action="store_true", dest="is_period_doubled", - help="plot doubled-period profile (only when options -s and -e are not given)", default=False) - cmdline.add_option('-k', '--stacking', action="store_true", dest="is_stacking", - help="Plot series of pulses or subints in stacking mode. Default is grey-scale mode", default=False) - cmdline.add_option('-d', '--dump', dest='dump', metavar='#PULSES | TIME', - help="number of pulses or time (if . given) to dump for subintegrations", default='', type='str') - cmdline.add_option('--offset', dest='offset', metavar='OFFSET', - help="Offset between individual profiles in stacking mode. Default = %default. " - "Offset is in the same units as for profiles' flux density. " - "Only positive (>=0) offsets are allowed", default=1.0, type='float') - cmdline.add_option('--saveprof', dest='proffile', metavar='FILE', - help="save profile to binary file FILE", default='', type='str') - cmdline.add_option('--saveonly', action="store_true", dest="is_saveonly", - help="only saves png-file and exits", default=False) - cmdline.add_option('-i', '--image', dest='imageext', metavar='FILEEXT', - help="image file extension when used with --saveonly (default: %default)", default='png', type='str') - cmdline.add_option('--tim', action="store_true", dest="is_timfile", - help="input file is Sigproc-style tim-file. None inf-file is necessary in this case", default=False) - cmdline.add_option('-l', '--list', action="store_true", dest="is_printlist", - help="print short list of all options", default=False) - cmdline.add_option('--events', action="store_true", dest="is_events", - help="input file is ascii file with event time in secs. Must use --mjd option to provide the start MJD. " - "Number of bins _must_ be also given with --nbins option unless --timeseries is set", default=False) - cmdline.add_option('-m', '--mjd', dest='mjd', metavar='MJD', - help="start MJD of the data. By default, is read from .inf file or tim-file header. " - "If events file is used, it _must_ be given or --chandra is used", default='', type='str') - cmdline.add_option('--chandra', action="store_true", dest="is_chandra", - help="events file is Chandra file, so start MJD is set to 50814.0 (Chandra reference MJD)", default=False) - cmdline.add_option('--tsamp', dest='tsamp', metavar='TIME', - help="sampling time in sec of the data. By default, is read from .inf file or tim-file header", default='', type='str') - group = opt.OptionGroup(cmdline, "Graphics Options") - group.add_option('--fontsize', dest='fs', metavar='SIZE', - help="font size for labels (default: %default)", default=10, type='int') - group.add_option('--color', dest='color', metavar='COLOR', - help="line and marker color (default: %default)", default='green', type='str') - group.add_option('--linestyle', dest='linestyle', metavar='STYLE', - help="set linestyle. Default is '%default' (solid). " - "Other possible values: '--', '-.', ':', 'None', ' ', '' with possible combination " - "with 'steps', 'steps-pre', 'steps-mid', or 'steps-post'. In stacking mode only " - "'-', '--', '-.', ':' are possible, or their aliases: 'solid', 'dashed', 'dashdot', " - "and 'dotted'", default='-', type='str') - group.add_option('--linewidth', dest='linewidth', metavar='WIDTH', - help="set linewidth. Default is '%default'", default='1.0', type='float') - group.add_option('--marker', dest='marker', metavar='TYPE', - help="set line and marker color (default: %default). Use 'None' to not use the marker symbol", default=',', type='str') - group.add_option('--markercolor', dest='markercolor', metavar='COLOR', - help="set only marker color (default: %default)", default='green', type='str') - group.add_option('--markerwidth', dest='markerwidth', metavar='WIDTH', - help="set marker width (default: %default)", default='1.0', type='float') - group.add_option('--markersize', dest='markersize', metavar='SIZE', - help="set marker size (default: %default)", default='6.0', type='float') - group.add_option('--facecolor', dest='facecolor', metavar='COLOR', - help="marker facecolor or fill color in stacking mode (default: %default)", default='white', type='str') - group.add_option('--cmap', dest='colormap', metavar='COLORMAP', - help="set colormap for plotting pulse stack. Default: %default. " - "Other good colormaps: gray, gist_yarg (reversed gray), " - "gist_stern, hot, jet, pink, gist_heat, gist_gray, copper, ...", default='gist_earth', type='str') - if kapteyn_loaded: - group.add_option('--cmap-scale', dest='cmap_scaling', metavar='SCALE', - help="set colormap scaling. Default: %default. " - "Other possible values: SQRT, LOG, EXP, SQUARE", default='LINEAR', type='str') + cmdline.add_option('--no-detrend', action="store_true", dest="is_no_detrend", + help="do not detrend the data", default=False) + cmdline.add_option('-a', '--rebin', dest='rebin', metavar='FACTOR', + help="averaging time series by FACTOR (default: %default)", default=1, type='int') + cmdline.add_option('-t', '--timeseries', action="store_true", dest="is_timeseries", + help="no folding. Time series will be plotted", default=False) + cmdline.add_option('-y', '--profileonly', action="store_true", dest="is_profileonly", + help="only plot the average profile. No stack of pulses or subints", default=False) + cmdline.add_option('-2', '--double', action="store_true", dest="is_period_doubled", + help="plot doubled-period profile (only when options -s and -e are not given)", default=False) + cmdline.add_option('-k', '--stacking', action="store_true", dest="is_stacking", + help="Plot series of pulses or subints in stacking mode. Default is grey-scale mode", default=False) + cmdline.add_option('-d', '--dump', dest='dump', metavar='#PULSES | TIME', + help="number of pulses or time (if . given) to dump for subintegrations", default='', type='str') + cmdline.add_option('--offset', dest='offset', metavar='OFFSET', + help="Offset between individual profiles in stacking mode. Default = %default. " + "Offset is in the same units as for profiles' flux density. " + "Only positive (>=0) offsets are allowed", default=1.0, type='float') + cmdline.add_option('--saveprof', dest='proffile', metavar='FILE', + help="save profile to binary file FILE", default='', type='str') + cmdline.add_option('--saveonly', action="store_true", dest="is_saveonly", + help="only saves png-file and exits", default=False) + cmdline.add_option('-i', '--image', dest='imageext', metavar='FILEEXT', + help="image file extension when used with --saveonly (default: %default)", default='png', type='str') + cmdline.add_option('--tim', action="store_true", dest="is_timfile", + help="input file is Sigproc-style tim-file. None inf-file is necessary in this case", default=False) + cmdline.add_option('-l', '--list', action="store_true", dest="is_printlist", + help="print short list of all options", default=False) + cmdline.add_option('--events', action="store_true", dest="is_events", + help="input file is ascii file with event time in secs. Must use --mjd option to provide the start MJD. " + "Number of bins _must_ be also given with --nbins option unless --timeseries is set", default=False) + cmdline.add_option('-m', '--mjd', dest='mjd', metavar='MJD', + help="start MJD of the data. By default, is read from .inf file or tim-file header. " + "If events file is used, it _must_ be given or --chandra is used", default='', type='str') + cmdline.add_option('--chandra', action="store_true", dest="is_chandra", + help="events file is Chandra file, so start MJD is set to 50814.0 (Chandra reference MJD)", default=False) + cmdline.add_option('--tsamp', dest='tsamp', metavar='TIME', + help="sampling time in sec of the data. By default, is read from .inf file or tim-file header", default='', type='str') + group = opt.OptionGroup(cmdline, "Graphics Options") + group.add_option('--fontsize', dest='fs', metavar='SIZE', + help="font size for labels (default: %default)", default=10, type='int') + group.add_option('--color', dest='color', metavar='COLOR', + help="line and marker color (default: %default)", default='green', type='str') + group.add_option('--linestyle', dest='linestyle', metavar='STYLE', + help="set linestyle. Default is '%default' (solid). " + "Other possible values: '--', '-.', ':', 'None', ' ', '' with possible combination " + "with 'steps', 'steps-pre', 'steps-mid', or 'steps-post'. In stacking mode only " + "'-', '--', '-.', ':' are possible, or their aliases: 'solid', 'dashed', 'dashdot', " + "and 'dotted'", default='-', type='str') + group.add_option('--linewidth', dest='linewidth', metavar='WIDTH', + help="set linewidth. Default is '%default'", default='1.0', type='float') + group.add_option('--marker', dest='marker', metavar='TYPE', + help="set line and marker color (default: %default). Use 'None' to not use the marker symbol", default=',', type='str') + group.add_option('--markercolor', dest='markercolor', metavar='COLOR', + help="set only marker color (default: %default)", default='green', type='str') + group.add_option('--markerwidth', dest='markerwidth', metavar='WIDTH', + help="set marker width (default: %default)", default='1.0', type='float') + group.add_option('--markersize', dest='markersize', metavar='SIZE', + help="set marker size (default: %default)", default='6.0', type='float') + group.add_option('--facecolor', dest='facecolor', metavar='COLOR', + help="marker facecolor or fill color in stacking mode (default: %default)", default='white', type='str') + group.add_option('--cmap', dest='colormap', metavar='COLORMAP', + help="set colormap for plotting pulse stack. Default: %default. " + "Other good colormaps: gray, gist_yarg (reversed gray), " + "gist_stern, hot, jet, pink, gist_heat, gist_gray, copper, ...", default='gist_earth', type='str') + if kapteyn_loaded: + group.add_option('--cmap-scale', dest='cmap_scaling', metavar='SCALE', + help="set colormap scaling. Default: %default. " + "Other possible values: SQRT, LOG, EXP, SQUARE", default='LINEAR', type='str') group.add_option('-c', '--colorbar', action="store_true", dest="is_colorbar", help="plot colorbar when plotting pulse stack", default=False) group.add_option('--title', dest='title', metavar='STR', @@ -260,736 +261,738 @@ def list_options(prg): help="turn off the different labeling on the top axis", default=False) group.add_option('--no-right-axis', action="store_true", dest="is_no_right_axis", help="turn off the different labeling on the right axis", default=False) - cmdline.add_option_group(group) - - # reading cmd options - (opts,args) = cmdline.parse_args() - - # print short list of options - if opts.is_printlist: - list_options(sys.argv[0].split("/")[-1]) - sys.exit(0) - - # check if input file is given - if len(args) != 0: - datfile = args[0] - else: - #cmdline.print_help() - cmdline.print_usage() - sys.exit(0) - - # importing matplotlib - if opts.is_saveonly: - import matplotlib - matplotlib.use("Agg") - pngname = datfile.split(".dat")[0] + "." + opts.imageext - else: - import matplotlib - - import matplotlib.pyplot as plt - import matplotlib.ticker as ticker - import matplotlib.cm as cm - import matplotlib.collections as collections - import matplotlib.patches as patches - import matplotlib.font_manager as fm - - headersize = 0 # size in bytes of the header - # if input file is Sigproc-style tim-file - if opts.is_timfile: - try: - filhdr, headersize = sigproc.read_header(datfile) - startmjd = filhdr['tstart'] - tsamp = filhdr['tsamp'] - source = filhdr['source_name'] - except: - print("Error: Can't open the tim-file '%s'!" % (datfile,)) - sys.exit(1) - - elif opts.is_events: - opts.is_no_detrend = True # we don't do detrending for events - if opts.mjd == '' and not opts.is_chandra: - print("Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!") - sys.exit(1) - if opts.nbins == -1: - print("Error: number of bins _must_ be given with --nbins option!") - sys.exit(1) - if opts.rebin != 1: - print("Event data can not be re-binned") - opts.rebin = 1 - else: - if (opts.mjd == '' and not opts.is_chandra) or opts.tsamp == '' or opts.psrname == '': - # reading inf-file to get corresponding info - inffile = datfile.split(".dat")[0] + ".inf" - try: - id = inf.infodata(inffile) - tsamp = id.dt # sampling time - startmjd = id.epoch # start MJD - source = id.object # pulsar name - except: - print("Error: Can't read the inf-file '%s'!" % (inffile,)) - sys.exit(1) - - # overwriting MJD, tsamp, pulsarname from the command line if given - if opts.is_chandra: - opts.mjd = "50814.0" - print("Chandra event file. Reference start MJD is %s" % (opts.mjd)) - if opts.mjd != '': - startmjd = float(opts.mjd) - if opts.tsamp != '': - tsamp = float(opts.tsamp) - if opts.psrname != '': - source = opts.psrname - - # checking start, end times and adjusting them if necessary - if opts.start_time < 0: - print("Error: start time %.3f is < 0!" % (opts.start_time)) - sys.exit(1) - - if not opts.is_events: - # getting the size of the file - try: - size=(os.stat(datfile)[stat.ST_SIZE] - headersize) / 4 # 4 bytes in float - except: - print("Error: Can't open the input file '%s'!" % (datfile,)) - sys.exit(1) - - # checking start, end times and adjusting them if necessary - start_sample = int(opts.start_time / tsamp) - if start_sample >= size: - print("Start time %.3f is out of range!" % (opts.start_time)) - sys.exit(1) - else: - size = size - start_sample - - # adjusting start MJD - opts.start_time = start_sample * tsamp - - if opts.window_time != -1: - window = int(opts.window_time / tsamp) - opts.window_time = window * tsamp - else: - window = size - opts.window_time = window * tsamp - - if start_sample + window > size: - print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) - window = size - start_sample - opts.window_time = window * tsamp - print("New window is %.3f s" % (opts.window_time)) - - else: # reading the file, and so, we can get the start and end events' time - events = np.loadtxt(datfile, comments='#', usecols=(0,0), dtype=float, unpack=True)[0] - try: - energy = np.loadtxt(datfile, comments='#', usecols=(1,1), dtype=float, unpack=True)[0] - except: - energy = [] - if np.size(energy) == 0 and opts.is_timeseries: - print("No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile)) - sys.exit(1) - duration = events[-1]-events[0] - if opts.start_time >= duration: - print("Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration)) - sys.exit(1) - else: - events.compress(events >= opts.start_time + events[0]) - if opts.is_timeseries: - energy.compress(events >= opts.start_time + events[0]) - if opts.window_time == -1: - opts.window_time = duration - if opts.start_time + opts.window_time > duration: - print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) - opts.window_time = duration - opts.start_time - print("New window is %.3f s" % (opts.window_time)) - - # checking dump settings - if opts.dump != '': - if "." in opts.dump: # dump time is given - dump_time = float(opts.dump) - dump_pulses = 0 - if dump_time > 0: - print("Dump time is %.3f s" % (dump_time)) - else: - print("Dump time %.3f should be > 0!" % (dump_time)) - sys.exit(1) - else: # number of pulses to dump is given - dump_pulses = int(opts.dump) - dump_time = 0 - if dump_pulses > 0: - print("Number of pulses in subintegration is %d" % (dump_pulses)) - else: - print("Number of pulses in subintegration %d should be > 0!" % (dump_pulses)) - sys.exit(1) - else: - dump_pulses = 0 - dump_time = 0 - - # Checking the phases and correct if necessary - if not opts.is_timeseries: - if opts.phase_start < 0 or opts.phase_start >= 1.0: - opts.phase_start = 0.0 - print("Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,)) - - if opts.phase_end <= 0.0 or opts.phase_end > 1.0: - opts.phase_end = 1.0 - print("End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,)) - - if opts.phase_end <= opts.phase_start: - print("End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start)) - sys.exit(1) - - if not opts.is_no_detrend: - # checking the blocksize - if opts.blocksize < 3 * detrendlen: - print("Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen)) - opts.blocksize = 3 * detrendlen - # making blocksize to be divisible by detrendlen (in order not to loose samples between blocks) - if int (opts.blocksize / detrendlen) * detrendlen != opts.blocksize: - opts.blocksize = detrendlen * (1 + int (opts.blocksize / detrendlen)) - print("Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen)) - - - # forming the array of time samples - if not opts.is_events: - try: - infile = open(datfile, "rb") - except: - print("Error: Can't read the dat-file '%s'!" % (datfile,)) - sys.exit(1) - dataptr = ar.array('f') # 'f' - for float - infile.seek(headersize + 4 * start_sample) # position to the first byte to read; '4' - is the size of float - else: - data = events / 86400. # converting events to days - data += startmjd # converting to MJD - events -= events[0] # converting events' time relative to the start of observation - - - # Folding the profile - if not opts.is_timeseries: - if opts.period == -1: # Period is not given in the cmdline, so will use polyco file - pid=poly.polycos(source, opts.polycofile) - try: - if not opts.is_events: - fold_period = get_period (pid, startmjd) - else: - fold_period = get_period (pid, data[0]) - except: - print("Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile)) - print("If different, try --pulsar option to set the name of pulsar the same as in polyco file.") - sys.exit(1) - is_update_period = True - if fold_period <= 0: - print("Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period))) - sys.exit(1) - else: # period is given - fold_period = opts.period / 1000. - is_update_period = False - # if number of bins is not specified (should always be specified for events) - if opts.nbins == -1: - opts.nbins = int(fold_period / tsamp) - # if dump_time is given - checking that it is >= fold_period - if dump_time > 0: - if dump_time < fold_period: - print("Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period)) - dump_time = fold_period - print("Dump time is now %.3f s" % (dump_time)) - if dump_time > opts.window_time: - print("Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time)) - # we make it a one period less than duration, because otherwise plt.imshow - # fails to plot - dump_time = opts.window_time - fold_period - print("Dump time is now %.3f s" % (dump_time)) - else: # we need this for plotting purposes - dump_time = dump_pulses * fold_period - if dump_time > opts.window_time: - print("Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time)) - print("Adjusting to match to the closest maximum possible number.") - dump_pulses = int((opts.window_time - fold_period) / fold_period) - dump_time = dump_pulses * fold_period - print("Number of pulses per subintegration is now %d" % (dump_pulses)) - - bin_start = int (opts.nbins * opts.phase_start) - bin_end = int(math.ceil((opts.nbins - 1) * opts.phase_end)) - bin_range = bin_end - bin_start + 1 - if "%f" % (opts.phase_start) != "%f" % (float(bin_start)/opts.nbins): - opts.phase_start = float(bin_start)/opts.nbins - print("Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start)) - if "%f" % (opts.phase_end) != "%f" % (float(bin_end)/(opts.nbins - 1)): - opts.phase_end = float(bin_end)/(opts.nbins - 1) - print("Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end)) - - # initializing some variables and arrays - elapsed_secs = opts.start_time - elapsed_turns = 0. - ibin = 0 - lbin = -1 - pulsecount = 0 - profile = np.zeros (bin_range, dtype=float) # profile array - counts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the profile - - if not opts.is_profileonly: # initialize the 2D array to keep the stack of pulses - if dump_pulses > 0: - npulses_expect = int(math.ceil(int((opts.window_time) / fold_period) / float(dump_pulses))) - elif dump_time > 0: - npulses_expect = int(math.ceil((opts.window_time) / dump_time)) - else: - npulses_expect = int(math.ceil((opts.window_time) / fold_period)) - # increase that value by 25% (overkill probably) in order to be safe if period is changing significantly - # over the course of observations - npulses_expect += int(0.25 * npulses_expect) - if npulses_expect == 1: - npulses_expect += 1 - pulsestack = np.zeros((npulses_expect, bin_range), dtype=float) - if dump_pulses > 0 or dump_time > 0: - dump = np.zeros (bin_range, dtype=float) # current subintegration - dumpcount = 0 # number of pulses in current subintegration - dump_next = elapsed_secs + dump_time # time of the next dump - dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration - - # in case of events' file we always use dump_time - if opts.is_events: - if dump_time == 0: # always use dump_time - dump_time = fold_period - dumpcount = 0 # number of pulses in current subintegration - dump_next = elapsed_secs + dump_time # time of the next dump - dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration - - - - if not opts.is_events: - # Loop over the chunks of data to read - while 1: - samplesleft = (headersize + (start_sample + window) * 4 - infile.tell()) / 4 - if samplesleft <= 0: # leaving from this infinite while loop - break - if samplesleft > opts.blocksize: - dataptr.fromfile(infile, opts.blocksize) - else: - dataptr.fromfile(infile, samplesleft) - data = np.array(dataptr) - dataptr = ar.array('f') # clear the array. This is important! - readsamples = np.size(data) # how many samples we have read - - # detrending the data - if not opts.is_no_detrend: - # this check is necessary when reading the very last block and if its size is _very_ small - # then we just have to skip it when detrending - if readsamples < 3 * detrendlen: - break - data = detrending (data, opts.fast_detrend) - size = np.size(data) - - # updating the period if necessary - if is_update_period: - fold_period = get_period (pid, startmjd + elapsed_secs / 86400.) - - # main folding loop over the read samples - turns = elapsed_turns - secs = elapsed_secs - for s in range(0, size): - # phase of each sample - phase=turns - math.floor(turns) - if phase >= opts.phase_start and phase <= opts.phase_end: - ibin = int (opts.nbins * phase) - bin_start - if ibin == opts.nbins: ibin -= 1 - if ibin - lbin < 0: pulsecount += 1 - counts[ibin] += 1. - profile[ibin] += data[s] - if not opts.is_profileonly: - # making the subintegration - if dump_pulses > 0 or dump_time > 0: - # if number of pulses to dump is given - if dump_pulses > 0 and ibin - lbin < 0 and pulsecount != 0 and pulsecount%dump_pulses == 0: - pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) - dumpcount += 1 - dumpcounts[:] = 0.0 - dump[:] = 0.0 - # if dump time is given - if dump_time > 0 and dump_pulses <= 0 and dump_next - secs <= tsamp/2.: - pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) - dumpcount += 1 - dumpcounts[:] = 0.0 - dump[:] = 0.0 - dump_next = secs + dump_time - - # after the dumps (if happened) we still need to continue with the current sample - # that belongs already to the next dump - dumpcounts[ibin] += 1. - dump[ibin] += data[s] - else: # no subintegrations - pulsestack[pulsecount][ibin] = data[s] - - turns += (tsamp / fold_period) - secs += tsamp - lbin = ibin - elapsed_secs += readsamples * tsamp - elapsed_turns += (readsamples * tsamp / fold_period) - - else: # if events are given - for tt in range(np.size(data)): - # updating the period if necessary - if is_update_period: - fold_period = get_period (pid, data[tt]) - turns = events[tt] / fold_period - # phase of each sample - phase=turns - math.floor(turns) - if phase >= opts.phase_start and phase <= opts.phase_end: - ibin = int (opts.nbins * phase) - bin_start - if ibin == opts.nbins: ibin -= 1 - counts[ibin] += 1. - if not opts.is_profileonly: - # if dump time is given (always use in case of events file) - if ((tt < np.size(data)-1 and dump_next < events[tt+1]) or tt == np.size(data)-1): - pulsestack[dumpcount] = dumpcounts - dumpcount += 1 - dumpcounts[:] = 0.0 - dump_next += dump_time - # after the dumps (if happened) we still need to continue with the current sample - # that belongs already to the next dump - dumpcounts[ibin] += 1. - - - # normalizing the profile - if not opts.is_events: - profile = np.array([profile[i]/(counts[i] == 0.0 and 1.0 or counts[i]) for i in range(0, bin_range)], dtype=float) - else: - profile = counts - # saving the profile to binary file - if opts.proffile != '': - outp = open(opts.proffile, 'wb') - outbins = ar.array('f') - outbins.fromlist(profile.tolist()) - outbins.tofile(outp) - outp.close() - - - else: - if not opts.is_events: - # if one wants just to plot time series, just read the whole selected block and then plot it - # If the size of window is too large, then probably Python won't be able to read it all at once - dataptr.fromfile(infile, window) - data = np.array(dataptr) - dataptr = ar.array('f') # clear the array. Though, here it's not important or necessary - # detrending the data - if not opts.is_no_detrend: - data = detrending (data, opts.fast_detrend) - window = np.size(data) - opts.window_time = window * tsamp - - - - - - - # - # Plotting - # + cmdline.add_option_group(group) + + # reading cmd options + (opts,args) = cmdline.parse_args() + + # print short list of options + if opts.is_printlist: + list_options(sys.argv[0].split("/")[-1]) + sys.exit(0) + + # check if input file is given + if len(args) != 0: + datfile = args[0] + else: + #cmdline.print_help() + cmdline.print_usage() + sys.exit(0) + + # importing matplotlib + if opts.is_saveonly: + import matplotlib + matplotlib.use("Agg") + pngname = datfile.split(".dat")[0] + "." + opts.imageext + else: + import matplotlib + + import matplotlib.pyplot as plt + import matplotlib.ticker as ticker + import matplotlib.cm as cm + import matplotlib.collections as collections + import matplotlib.font_manager as fm + + headersize = 0 # size in bytes of the header + # if input file is Sigproc-style tim-file + if opts.is_timfile: + try: + filhdr, headersize = sigproc.read_header(datfile) + startmjd = filhdr['tstart'] + tsamp = filhdr['tsamp'] + source = filhdr['source_name'] + except: + print("Error: Can't open the tim-file '%s'!" % (datfile,)) + sys.exit(1) + + elif opts.is_events: + opts.is_no_detrend = True # we don't do detrending for events + if opts.mjd == '' and not opts.is_chandra: + print("Error: for events' file start MJD _must_ be given with --mjd option or --chandra option!") + sys.exit(1) + if opts.nbins == -1: + print("Error: number of bins _must_ be given with --nbins option!") + sys.exit(1) + if opts.rebin != 1: + print("Event data can not be re-binned") + opts.rebin = 1 + else: + if (opts.mjd == '' and not opts.is_chandra) or opts.tsamp == '' or opts.psrname == '': + # reading inf-file to get corresponding info + inffile = datfile.split(".dat")[0] + ".inf" + try: + id = inf.infodata(inffile) + tsamp = id.dt # sampling time + startmjd = id.epoch # start MJD + source = id.object # pulsar name + except: + print("Error: Can't read the inf-file '%s'!" % (inffile,)) + sys.exit(1) + + # overwriting MJD, tsamp, pulsarname from the command line if given + if opts.is_chandra: + opts.mjd = "50814.0" + print("Chandra event file. Reference start MJD is %s" % (opts.mjd)) + if opts.mjd != '': + startmjd = float(opts.mjd) + if opts.tsamp != '': + tsamp = float(opts.tsamp) + if opts.psrname != '': + source = opts.psrname + + # checking start, end times and adjusting them if necessary + if opts.start_time < 0: + print("Error: start time %.3f is < 0!" % (opts.start_time)) + sys.exit(1) + + if not opts.is_events: + # getting the size of the file + try: + size=(os.stat(datfile)[stat.ST_SIZE] - headersize) / 4 # 4 bytes in float + except: + print("Error: Can't open the input file '%s'!" % (datfile,)) + sys.exit(1) + + # checking start, end times and adjusting them if necessary + start_sample = int(opts.start_time / tsamp) + if start_sample >= size: + print("Start time %.3f is out of range!" % (opts.start_time)) + sys.exit(1) + else: + size = size - start_sample + + # adjusting start MJD + opts.start_time = start_sample * tsamp + + if opts.window_time != -1: + window = int(opts.window_time / tsamp) + opts.window_time = window * tsamp + else: + window = size + opts.window_time = window * tsamp + + if start_sample + window > size: + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) + window = size - start_sample + opts.window_time = window * tsamp + print("New window is %.3f s" % (opts.window_time)) + + else: # reading the file, and so, we can get the start and end events' time + events = np.loadtxt(datfile, comments='#', usecols=(0,0), dtype=float, unpack=True)[0] + try: + energy = np.loadtxt(datfile, comments='#', usecols=(1,1), dtype=float, unpack=True)[0] + except: + energy = [] + if np.size(energy) == 0 and opts.is_timeseries: + print("No energy column is given in the events'file '%s'. It _must_ be given to plot the timeseries!" % (datfile)) + sys.exit(1) + duration = events[-1]-events[0] + if opts.start_time >= duration: + print("Start time %.3f sec is more than duration of observation of %.3f sec!" % (opts.start_time, duration)) + sys.exit(1) + else: + events.compress(events >= opts.start_time + events[0]) + if opts.is_timeseries: + energy.compress(events >= opts.start_time + events[0]) + if opts.window_time == -1: + opts.window_time = duration + if opts.start_time + opts.window_time > duration: + print("End time %.3f is out of range. The window duration will be adjusted" % (opts.start_time + opts.window_time)) + opts.window_time = duration - opts.start_time + print("New window is %.3f s" % (opts.window_time)) + + # checking dump settings + if opts.dump != '': + if "." in opts.dump: # dump time is given + dump_time = float(opts.dump) + dump_pulses = 0 + if dump_time > 0: + print("Dump time is %.3f s" % (dump_time)) + else: + print("Dump time %.3f should be > 0!" % (dump_time)) + sys.exit(1) + else: # number of pulses to dump is given + dump_pulses = int(opts.dump) + dump_time = 0 + if dump_pulses > 0: + print("Number of pulses in subintegration is %d" % (dump_pulses)) + else: + print("Number of pulses in subintegration %d should be > 0!" % (dump_pulses)) + sys.exit(1) + else: + dump_pulses = 0 + dump_time = 0 + + # Checking the phases and correct if necessary + if not opts.is_timeseries: + if opts.phase_start < 0 or opts.phase_start >= 1.0: + opts.phase_start = 0.0 + print("Start phase is out of range. Adjusted value is %.3f" % (opts.phase_start,)) + + if opts.phase_end <= 0.0 or opts.phase_end > 1.0: + opts.phase_end = 1.0 + print("End phase is out of range. Adjusted value is %.3f" % (opts.phase_end,)) + + if opts.phase_end <= opts.phase_start: + print("End phase %.3f is <= than start phase %.3f! Please adjust." % (opts.phase_end, opts.phase_start)) + sys.exit(1) + + if not opts.is_no_detrend: + # checking the blocksize + if opts.blocksize < 3 * detrendlen: + print("Block size is too small: %d. Will be increased to %d." % (opts.blocksize, 3 * detrendlen)) + opts.blocksize = 3 * detrendlen + # making blocksize to be divisible by detrendlen (in order not to loose samples between blocks) + if int (opts.blocksize / detrendlen) * detrendlen != opts.blocksize: + opts.blocksize = detrendlen * (1 + int (opts.blocksize / detrendlen)) + print("Adjusting block size to %d to be divisible by detrendlen=%d" % (opts.blocksize, detrendlen)) + + + # forming the array of time samples + if not opts.is_events: + try: + infile = open(datfile, "rb") + except: + print("Error: Can't read the dat-file '%s'!" % (datfile,)) + sys.exit(1) + dataptr = ar.array('f') # 'f' - for float + infile.seek(headersize + 4 * start_sample) # position to the first byte to read; '4' - is the size of float + else: + data = events / 86400. # converting events to days + data += startmjd # converting to MJD + events -= events[0] # converting events' time relative to the start of observation + + + # Folding the profile + if not opts.is_timeseries: + if opts.period == -1: # Period is not given in the cmdline, so will use polyco file + pid=poly.polycos(source, opts.polycofile) + try: + if not opts.is_events: + fold_period = get_period (pid, startmjd) + else: + fold_period = get_period (pid, data[0]) + except: + print("Check the name of the pulsar in polyco file '%s' and inf-file '%s'!" % (opts.polycofile, inffile)) + print("If different, try --pulsar option to set the name of pulsar the same as in polyco file.") + sys.exit(1) + is_update_period = True + if fold_period <= 0: + print("Computed fold period is bad: %f. Check your polyco and/or MJD!" % (float(fold_period))) + sys.exit(1) + else: # period is given + fold_period = opts.period / 1000. + is_update_period = False + # if number of bins is not specified (should always be specified for events) + if opts.nbins == -1: + opts.nbins = int(fold_period / tsamp) + # if dump_time is given - checking that it is >= fold_period + if dump_time > 0: + if dump_time < fold_period: + print("Dump time %.3f s is less than folding period of %f s. Adjusting to match." % (dump_time, fold_period)) + dump_time = fold_period + print("Dump time is now %.3f s" % (dump_time)) + if dump_time > opts.window_time: + print("Dump time %.3f is more than window duration of %f s. Adjusting..." % (dump_time, opts.window_time)) + # we make it a one period less than duration, because otherwise plt.imshow + # fails to plot + dump_time = opts.window_time - fold_period + print("Dump time is now %.3f s" % (dump_time)) + else: # we need this for plotting purposes + dump_time = dump_pulses * fold_period + if dump_time > opts.window_time: + print("Number of pulses per subintegration %d is more than within window duration of %f s." % (dump_pulses, opts.window_time)) + print("Adjusting to match to the closest maximum possible number.") + dump_pulses = int((opts.window_time - fold_period) / fold_period) + dump_time = dump_pulses * fold_period + print("Number of pulses per subintegration is now %d" % (dump_pulses)) + + bin_start = int (opts.nbins * opts.phase_start) + bin_end = int(math.ceil((opts.nbins - 1) * opts.phase_end)) + bin_range = bin_end - bin_start + 1 + if "%f" % (opts.phase_start) != "%f" % (float(bin_start)/opts.nbins): + opts.phase_start = float(bin_start)/opts.nbins + print("Adjusting the start phase to %.3f to account for integer number of bins" % (opts.phase_start)) + if "%f" % (opts.phase_end) != "%f" % (float(bin_end)/(opts.nbins - 1)): + opts.phase_end = float(bin_end)/(opts.nbins - 1) + print("Adjusting the end phase to %.3f to account for integer number of bins" % (opts.phase_end)) + + # initializing some variables and arrays + elapsed_secs = opts.start_time + elapsed_turns = 0. + ibin = 0 + lbin = -1 + pulsecount = 0 + profile = np.zeros (bin_range, dtype=float) # profile array + counts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the profile + + if not opts.is_profileonly: # initialize the 2D array to keep the stack of pulses + if dump_pulses > 0: + npulses_expect = int(math.ceil(int((opts.window_time) / fold_period) / float(dump_pulses))) + elif dump_time > 0: + npulses_expect = int(math.ceil((opts.window_time) / dump_time)) + else: + npulses_expect = int(math.ceil((opts.window_time) / fold_period)) + # increase that value by 25% (overkill probably) in order to be safe if period is changing significantly + # over the course of observations + npulses_expect += int(0.25 * npulses_expect) + if npulses_expect == 1: + npulses_expect += 1 + pulsestack = np.zeros((npulses_expect, bin_range), dtype=float) + if dump_pulses > 0 or dump_time > 0: + dump = np.zeros (bin_range, dtype=float) # current subintegration + dumpcount = 0 # number of pulses in current subintegration + dump_next = elapsed_secs + dump_time # time of the next dump + dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration + + # in case of events' file we always use dump_time + if opts.is_events: + if dump_time == 0: # always use dump_time + dump_time = fold_period + dumpcount = 0 # number of pulses in current subintegration + dump_next = elapsed_secs + dump_time # time of the next dump + dumpcounts = np.zeros (bin_range, dtype=float) # array that keeps number of counts in each bin of the subintegration + + + + if not opts.is_events: + # Loop over the chunks of data to read + while 1: + samplesleft = (headersize + (start_sample + window) * 4 - infile.tell()) / 4 + if samplesleft <= 0: # leaving from this infinite while loop + break + if samplesleft > opts.blocksize: + dataptr.fromfile(infile, opts.blocksize) + else: + dataptr.fromfile(infile, samplesleft) + data = np.array(dataptr) + dataptr = ar.array('f') # clear the array. This is important! + readsamples = np.size(data) # how many samples we have read + + # detrending the data + if not opts.is_no_detrend: + # this check is necessary when reading the very last block and if its size is _very_ small + # then we just have to skip it when detrending + if readsamples < 3 * detrendlen: + break + data = detrending (data, opts.fast_detrend) + size = np.size(data) + + # updating the period if necessary + if is_update_period: + fold_period = get_period (pid, startmjd + elapsed_secs / 86400.) + + # main folding loop over the read samples + turns = elapsed_turns + secs = elapsed_secs + for s in range(0, size): + # phase of each sample + phase=turns - math.floor(turns) + if phase >= opts.phase_start and phase <= opts.phase_end: + ibin = int (opts.nbins * phase) - bin_start + if ibin == opts.nbins: ibin -= 1 + if ibin - lbin < 0: pulsecount += 1 + counts[ibin] += 1. + profile[ibin] += data[s] + if not opts.is_profileonly: + # making the subintegration + if dump_pulses > 0 or dump_time > 0: + # if number of pulses to dump is given + if dump_pulses > 0 and ibin - lbin < 0 and pulsecount != 0 and pulsecount%dump_pulses == 0: + pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) + dumpcount += 1 + dumpcounts[:] = 0.0 + dump[:] = 0.0 + # if dump time is given + if dump_time > 0 and dump_pulses <= 0 and dump_next - secs <= tsamp/2.: + pulsestack[dumpcount] = np.array([dump[i]/(dumpcounts[i] == 0.0 and 1.0 or dumpcounts[i]) for i in range(0, bin_range)], dtype=float) + dumpcount += 1 + dumpcounts[:] = 0.0 + dump[:] = 0.0 + dump_next = secs + dump_time + + # after the dumps (if happened) we still need to continue with the current sample + # that belongs already to the next dump + dumpcounts[ibin] += 1. + dump[ibin] += data[s] + else: # no subintegrations + pulsestack[pulsecount][ibin] = data[s] + + turns += (tsamp / fold_period) + secs += tsamp + lbin = ibin + elapsed_secs += readsamples * tsamp + elapsed_turns += (readsamples * tsamp / fold_period) + + else: # if events are given + for tt in range(np.size(data)): + # updating the period if necessary + if is_update_period: + fold_period = get_period (pid, data[tt]) + turns = events[tt] / fold_period + # phase of each sample + phase=turns - math.floor(turns) + if phase >= opts.phase_start and phase <= opts.phase_end: + ibin = int (opts.nbins * phase) - bin_start + if ibin == opts.nbins: ibin -= 1 + counts[ibin] += 1. + if not opts.is_profileonly: + # if dump time is given (always use in case of events file) + if ((tt < np.size(data)-1 and dump_next < events[tt+1]) or tt == np.size(data)-1): + pulsestack[dumpcount] = dumpcounts + dumpcount += 1 + dumpcounts[:] = 0.0 + dump_next += dump_time + # after the dumps (if happened) we still need to continue with the current sample + # that belongs already to the next dump + dumpcounts[ibin] += 1. + + + # normalizing the profile + if not opts.is_events: + profile = np.array([profile[i]/(counts[i] == 0.0 and 1.0 or counts[i]) for i in range(0, bin_range)], dtype=float) + else: + profile = counts + # saving the profile to binary file + if opts.proffile != '': + outp = open(opts.proffile, 'wb') + outbins = ar.array('f') + outbins.fromlist(profile.tolist()) + outbins.tofile(outp) + outp.close() + + + else: + if not opts.is_events: + # if one wants just to plot time series, just read the whole selected block and then plot it + # If the size of window is too large, then probably Python won't be able to read it all at once + dataptr.fromfile(infile, window) + data = np.array(dataptr) + dataptr = ar.array('f') # clear the array. Though, here it's not important or necessary + # detrending the data + if not opts.is_no_detrend: + data = detrending (data, opts.fast_detrend) + window = np.size(data) + opts.window_time = window * tsamp + + # + # Plotting + # fig = plt.figure() - if opts.is_timeseries: # plotting the time series - if opts.rebin == 1: - if not opts.is_events: - flux = data - else: - flux = energy - else: - window = int(window/opts.rebin) - tsamp *= opts.rebin - flux = [np.average(data[k*opts.rebin:(k+1)*opts.rebin]) for k in range(0, window)] - - if not opts.is_events: - time = [opts.start_time + tsamp * t for t in range(0, window)] - else: - time = events - - ax = fig.add_subplot(111) - plt.xlabel("Time (s)", fontsize=opts.fs) - if opts.is_events: - plt.ylabel("Energy", fontsize=opts.fs) - elif opts.is_no_detrend: - plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) - else: - plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) - - ax.plot (time, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - if not opts.is_no_top_axis: - if not opts.is_events: - axtop = plt.twiny() - axtop.xaxis.tick_top() - axtop.xaxis.set_label_position("top") - axtop.set_xlim(xmin=start_sample, xmax=start_sample+window-1) - for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Samples", fontsize=opts.fs) - plt.gca().minorticks_on() - - ax.set_xlim(xmin=time[0], xmax=time[-1]) - ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) - ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - - elif opts.is_profileonly: # plotting only the profile - - flux = profile - phase = [float(n)/opts.nbins for n in range(bin_start, bin_end + 1)] - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - flux = np.append(flux, profile) - phase = np.append(phase, [float(opts.nbins + n)/opts.nbins for n in range(bin_start, bin_end + 1)]) - - ax = fig.add_subplot(111) - plt.xlabel("Pulse phase", fontsize=opts.fs) - if opts.is_events: - plt.ylabel("Counts/bin", fontsize=opts.fs) - elif opts.is_no_detrend: - plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) - else: - plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) - - ax.plot (phase, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - if not opts.is_no_top_axis: - axtop = plt.twiny() - axtop.xaxis.tick_top() - axtop.xaxis.set_label_position("top") - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - axtop.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) - else: - axtop.set_xlim(xmin=bin_start, xmax=bin_end) - for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Phase bin", fontsize=opts.fs) - plt.gca().minorticks_on() - - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - ax.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) - else: - ax.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) - ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) - ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) - ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - - elif opts.is_stacking: # plotting the stack of pulses or subints - - ax = fig.add_subplot(111) - if not opts.is_no_top_axis: - plt.xlabel("Phase bin", fontsize=opts.fs) - if not opts.is_no_right_axis: - if opts.is_events: - plt.ylabel("Counts/bin", fontsize=opts.fs) - elif opts.is_no_detrend: - plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) - else: - plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) - - dr = abs(opts.offset) - if dump_pulses > 0 or dump_time > 0: - ncount = dumpcount - else: - ncount = pulsecount - ymin = pulsestack[0:ncount].min() - ymax = pulsestack[0:ncount].max() - dr = abs(opts.offset) - dmins = [] - dmaxs = [] - - t = np.arange(bin_start, bin_end + 1, dtype=float) - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - t = np.append(t, [opts.nbins + n for n in range(bin_start, bin_end + 1)]) - pulseverts = [] - for i in np.arange(ncount-1, -1, -1): - temp = pulsestack[i] + i * dr - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - temp = np.append(temp, temp) - dmins.append(temp.min()) - dmaxs.append(temp.max()) - pulseverts.append(np.vstack((np.hstack((t[:,np.newaxis], temp[:,np.newaxis])), [t[-1], ymin-1], [0, ymin-1]))) - - ymin = np.array(dmins).min() - ymax = np.array(dmaxs).max() - polys = collections.PolyCollection(pulseverts, closed=True) - polys.set_edgecolor("%s" % (opts.color)) - polys.set_facecolor("%s" % (opts.facecolor)) - polys.set_linestyle("%s" % (opts.linestyle)) - polys.set_linewidth("%s" % (opts.linewidth)) - ax.add_collection(polys) - - plt.gca().minorticks_on() - - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - axbot = plt.twiny() - axbot.xaxis.tick_bottom() - axbot.xaxis.set_label_position("bottom") - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) - else: - axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) - for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Pulse phase", fontsize=opts.fs) - plt.gca().minorticks_on() - - ayleft = plt.twinx() - ayleft.yaxis.tick_left() - ayleft.yaxis.set_label_position("left") - if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: - ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) - else: - ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) - for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) - plt.ylabel("Observing time (s)", fontsize=opts.fs) - plt.gca().minorticks_on() - - # Determining the main (top/right) axes - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end-0.1) - else: - ax.set_xlim(xmin=bin_start, xmax=bin_end-0.1) - ax.set_ylim(ymin=ymin, ymax=ymax) - if not opts.is_no_top_axis: - ax.xaxis.tick_top() - ax.xaxis.set_label_position("top") - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and + if opts.is_timeseries: # plotting the time series + if opts.rebin == 1: + if not opts.is_events: + flux = data + else: + flux = energy + else: + window = int(window/opts.rebin) + tsamp *= opts.rebin + flux = [np.average(data[k*opts.rebin:(k+1)*opts.rebin]) for k in range(0, window)] + + if not opts.is_events: + time = [opts.start_time + tsamp * t for t in range(0, window)] + else: + time = events + + ax = fig.add_subplot(111) + plt.xlabel("Time (s)", fontsize=opts.fs) + if opts.is_events: + plt.ylabel("Energy", fontsize=opts.fs) + elif opts.is_no_detrend: + plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) + else: + plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) + + ax.plot (time, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), + markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), + linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, + markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) + # turn on grid + if opts.is_grid: + plt.grid(True) + + if not opts.is_no_top_axis: + if not opts.is_events: + axtop = plt.twiny() + axtop.xaxis.tick_top() + axtop.xaxis.set_label_position("top") + axtop.set_xlim(xmin=start_sample, xmax=start_sample+window-1) + for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Samples", fontsize=opts.fs) + plt.gca().minorticks_on() + + ax.set_xlim(xmin=time[0], xmax=time[-1]) + ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) + ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + + elif opts.is_profileonly: # plotting only the profile + + flux = profile + phase = [float(n)/opts.nbins for n in range(bin_start, bin_end + 1)] + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + flux = np.append(flux, profile) + phase = np.append(phase, [float(opts.nbins + n)/opts.nbins for n in range(bin_start, bin_end + 1)]) + + ax = fig.add_subplot(111) + plt.xlabel("Pulse phase", fontsize=opts.fs) + if opts.is_events: + plt.ylabel("Counts/bin", fontsize=opts.fs) + elif opts.is_no_detrend: + plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) + else: + plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) + + ax.plot (phase, flux, color="%s" % (opts.color), marker="%s" % (opts.marker), + markeredgecolor="%s" % (opts.markercolor), markerfacecolor="%s" % (opts.facecolor), + linestyle="%s" % (opts.linestyle), linewidth=opts.linewidth, markeredgewidth=opts.markerwidth, + markersize=opts.markersize, label="%s" % ("\n".join(opts.legend.split("\\n")))) + # turn on grid + if opts.is_grid == True: + plt.grid(True) + + if not opts.is_no_top_axis: + axtop = plt.twiny() + axtop.xaxis.tick_top() + axtop.xaxis.set_label_position("top") + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + axtop.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) + else: + axtop.set_xlim(xmin=bin_start, xmax=bin_end) + for label in axtop.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Phase bin", fontsize=opts.fs) + plt.gca().minorticks_on() + + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + ax.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) + else: + ax.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) + ax.yaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_major_formatter(ticker.FormatStrFormatter("%g")) + ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) + ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + + elif opts.is_stacking: # plotting the stack of pulses or subints + + ax = fig.add_subplot(111) + if not opts.is_no_top_axis: + plt.xlabel("Phase bin", fontsize=opts.fs) + if not opts.is_no_right_axis: + if opts.is_events: + plt.ylabel("Counts/bin", fontsize=opts.fs) + elif opts.is_no_detrend: + plt.ylabel("Flux density (arb. units)", fontsize=opts.fs) + else: + plt.ylabel("Flux density ($\sigma$)", fontsize=opts.fs) + + dr = abs(opts.offset) + if dump_pulses > 0 or dump_time > 0: + ncount = dumpcount + else: + ncount = pulsecount + ymin = pulsestack[0:ncount].min() + ymax = pulsestack[0:ncount].max() + dr = abs(opts.offset) + dmins = [] + dmaxs = [] + + t = np.arange(bin_start, bin_end + 1, dtype=float) + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + t = np.append(t, [opts.nbins + n for n in range(bin_start, bin_end + 1)]) + pulseverts = [] + for i in np.arange(ncount-1, -1, -1): + temp = pulsestack[i] + i * dr + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + temp = np.append(temp, temp) + dmins.append(temp.min()) + dmaxs.append(temp.max()) + pulseverts.append(np.vstack((np.hstack((t[:,np.newaxis], temp[:,np.newaxis])), [t[-1], ymin-1], [0, ymin-1]))) + + ymin = np.array(dmins).min() + ymax = np.array(dmaxs).max() + polys = collections.PolyCollection(pulseverts, closed=True) + polys.set_edgecolor("%s" % (opts.color)) + polys.set_facecolor("%s" % (opts.facecolor)) + polys.set_linestyle("%s" % (opts.linestyle)) + polys.set_linewidth("%s" % (opts.linewidth)) + ax.add_collection(polys) + + plt.gca().minorticks_on() + + # turn on grid + if opts.is_grid: + plt.grid(True) + + axbot = plt.twiny() + axbot.xaxis.tick_bottom() + axbot.xaxis.set_label_position("bottom") + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) + else: + axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) + for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Pulse phase", fontsize=opts.fs) + plt.gca().minorticks_on() + + ayleft = plt.twinx() + ayleft.yaxis.tick_left() + ayleft.yaxis.set_label_position("left") + if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: + ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) + else: + ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) + for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) + plt.ylabel("Observing time (s)", fontsize=opts.fs) + plt.gca().minorticks_on() + + # Determining the main (top/right) axes + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end-0.1) + else: + ax.set_xlim(xmin=bin_start, xmax=bin_end-0.1) + ax.set_ylim(ymin=ymin, ymax=ymax) + if not opts.is_no_top_axis: + ax.xaxis.tick_top() + ax.xaxis.set_label_position("top") + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and + # ticks from the bottom axis because then imshow won't work properly + ax.xaxis.set_major_formatter(ticker.NullFormatter()) + ax.xaxis.set_major_locator(ticker.NullLocator()) + ax.xaxis.set_minor_locator(ticker.NullLocator()) + + if not opts.is_no_right_axis: + ax.yaxis.tick_right() + ax.yaxis.set_label_position("right") + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and + # ticks from the left axis because then imshow won't work properly + ax.yaxis.set_major_formatter(ticker.NullFormatter()) + ax.yaxis.set_major_locator(ticker.NullLocator()) + ax.yaxis.set_minor_locator(ticker.NullLocator()) + + + else: # plotting the stack of pulses or subints in grey-scale mode + + ax = fig.add_subplot(111) + if not opts.is_no_top_axis: + plt.xlabel("Phase bin", fontsize=opts.fs) + + if not kapteyn_loaded: + colormap = cm.get_cmap(opts.colormap) + else: + colormap=VariableColormap(cm.get_cmap(opts.colormap)) + colormap.set_scale(opts.cmap_scaling) + + if dump_pulses > 0 or dump_time > 0: + ncount = dumpcount + if not opts.is_no_right_axis: plt.ylabel("Sub-integration", fontsize=opts.fs) + else: + ncount = pulsecount + if not opts.is_no_right_axis: plt.ylabel("Pulse number", fontsize=opts.fs) + + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + pulsestack = np.concatenate((pulsestack[:ncount], pulsestack[:ncount]), axis=1) + cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, opts.nbins + bin_end, 0, ncount), origin='lower', cmap=colormap) + else: + cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, bin_end, 0, ncount), origin='lower', cmap=colormap) + if opts.is_colorbar: + cbar = fig.colorbar(cax, orientation='horizontal', spacing='proportional') + if opts.is_events: + cbar.ax.set_xlabel("Counts/bin", fontsize=opts.fs) + elif opts.is_no_detrend: + cbar.ax.set_xlabel("Flux density (arb. units)", fontsize=opts.fs) + else: + cbar.ax.set_xlabel("Flux density ($\sigma$)", fontsize=opts.fs) + for label in cbar.ax.get_xticklabels(): label.set_fontsize(opts.fs) + + plt.gca().minorticks_on() + + # turn on grid + if opts.is_grid == True: + plt.grid(True) + + axbot = plt.twiny() + axbot.xaxis.tick_bottom() + axbot.xaxis.set_label_position("bottom") + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) + else: + axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) + for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) + plt.xlabel("Pulse phase", fontsize=opts.fs) + plt.gca().minorticks_on() + + ayleft = plt.twinx() + ayleft.yaxis.tick_left() + ayleft.yaxis.set_label_position("left") + if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: + ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) + else: + ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) + for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) + plt.ylabel("Observing time (s)", fontsize=opts.fs) + plt.gca().minorticks_on() + + # Determining the main (top/right) axes + if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: + ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) + else: + ax.set_xlim(xmin=bin_start, xmax=bin_end) + ax.set_ylim(ymin=0, ymax=ncount) + if not opts.is_no_top_axis: + ax.xaxis.tick_top() + ax.xaxis.set_label_position("top") + for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and # ticks from the bottom axis because then imshow won't work properly - ax.xaxis.set_major_formatter(ticker.NullFormatter()) - ax.xaxis.set_major_locator(ticker.NullLocator()) - ax.xaxis.set_minor_locator(ticker.NullLocator()) - - if not opts.is_no_right_axis: - ax.yaxis.tick_right() - ax.yaxis.set_label_position("right") - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and + ax.xaxis.set_major_formatter(ticker.NullFormatter()) + ax.xaxis.set_major_locator(ticker.NullLocator()) + ax.xaxis.set_minor_locator(ticker.NullLocator()) + + if not opts.is_no_right_axis: + ax.yaxis.tick_right() + ax.yaxis.set_label_position("right") + for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) + plt.gca().minorticks_on() + else: # if don't want to show then turning everything off (I can not duplicate the limits and # ticks from the left axis because then imshow won't work properly - ax.yaxis.set_major_formatter(ticker.NullFormatter()) - ax.yaxis.set_major_locator(ticker.NullLocator()) - ax.yaxis.set_minor_locator(ticker.NullLocator()) - - - else: # plotting the stack of pulses or subints in grey-scale mode - - ax = fig.add_subplot(111) - if not opts.is_no_top_axis: - plt.xlabel("Phase bin", fontsize=opts.fs) - - if not kapteyn_loaded: - colormap = cm.get_cmap(opts.colormap) - else: - colormap=VariableColormap(cm.get_cmap(opts.colormap)) - colormap.set_scale(opts.cmap_scaling) - - if dump_pulses > 0 or dump_time > 0: - ncount = dumpcount - if not opts.is_no_right_axis: plt.ylabel("Sub-integration", fontsize=opts.fs) - else: - ncount = pulsecount - if not opts.is_no_right_axis: plt.ylabel("Pulse number", fontsize=opts.fs) - - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - pulsestack = np.concatenate((pulsestack[:ncount], pulsestack[:ncount]), axis=1) - cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, opts.nbins + bin_end, 0, ncount), origin='lower', cmap=colormap) - else: - cax = ax.imshow(pulsestack[:ncount], interpolation=None, aspect='auto', extent=(bin_start, bin_end, 0, ncount), origin='lower', cmap=colormap) - if opts.is_colorbar: - cbar = fig.colorbar(cax, orientation='horizontal', spacing='proportional') - if opts.is_events: - cbar.ax.set_xlabel("Counts/bin", fontsize=opts.fs) - elif opts.is_no_detrend: - cbar.ax.set_xlabel("Flux density (arb. units)", fontsize=opts.fs) - else: - cbar.ax.set_xlabel("Flux density ($\sigma$)", fontsize=opts.fs) - for label in cbar.ax.get_xticklabels(): label.set_fontsize(opts.fs) - - plt.gca().minorticks_on() - - # turn on grid - if opts.is_grid == True: - plt.grid(True) - - axbot = plt.twiny() - axbot.xaxis.tick_bottom() - axbot.xaxis.set_label_position("bottom") - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - axbot.set_xlim(xmin=opts.phase_start, xmax=2.*opts.phase_end) - else: - axbot.set_xlim(xmin=opts.phase_start, xmax=opts.phase_end) - for label in axbot.get_xticklabels(): label.set_fontsize(opts.fs) - plt.xlabel("Pulse phase", fontsize=opts.fs) - plt.gca().minorticks_on() - - ayleft = plt.twinx() - ayleft.yaxis.tick_left() - ayleft.yaxis.set_label_position("left") - if (dump_pulses > 0 or dump_time > 0) and not opts.is_events: - ayleft.set_ylim(ymin=0.0, ymax=ncount*dump_time) - else: - ayleft.set_ylim(ymin=0.0, ymax=opts.window_time) - for label in ayleft.get_yticklabels(): label.set_fontsize(opts.fs) - plt.ylabel("Observing time (s)", fontsize=opts.fs) - plt.gca().minorticks_on() - - # Determining the main (top/right) axes - if opts.is_period_doubled and bin_start == 0 and bin_end == opts.nbins - 1: - ax.set_xlim(xmin=bin_start, xmax=opts.nbins + bin_end) - else: - ax.set_xlim(xmin=bin_start, xmax=bin_end) - ax.set_ylim(ymin=0, ymax=ncount) - if not opts.is_no_top_axis: - ax.xaxis.tick_top() - ax.xaxis.set_label_position("top") - for label in ax.get_xticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and - # ticks from the bottom axis because then imshow won't work properly - ax.xaxis.set_major_formatter(ticker.NullFormatter()) - ax.xaxis.set_major_locator(ticker.NullLocator()) - ax.xaxis.set_minor_locator(ticker.NullLocator()) - - if not opts.is_no_right_axis: - ax.yaxis.tick_right() - ax.yaxis.set_label_position("right") - for label in ax.get_yticklabels(): label.set_fontsize(opts.fs) - plt.gca().minorticks_on() - else: # if don't want to show then turning everything off (I can not duplicate the limits and - # ticks from the left axis because then imshow won't work properly - ax.yaxis.set_major_formatter(ticker.NullFormatter()) - ax.yaxis.set_major_locator(ticker.NullLocator()) - ax.yaxis.set_minor_locator(ticker.NullLocator()) - - - # Making the title - if opts.title != '': - ax.set_title("\n".join(opts.title.split("\\n")), fontsize=opts.fs, x=opts.titlepos.split(",")[0], y=opts.titlepos.split(",")[1], ha='%s' % (opts.titlepos.split(",")[-1])) - - # Putting the label - if opts.label != '': - ax.annotate("\n".join(opts.label.split("\\n")), fontsize=opts.fs, xycoords='axes fraction', xy=(0,0), xytext=(opts.labelpos.split(",")[0], opts.labelpos.split(",")[1]), ha='%s' % (opts.labelpos.split(",")[-1])) - - # turn on the Legend (only when is used in profile-only mode or timeseries mode) - if opts.legend != '' and (opts.is_timeseries or opts.is_profileonly): - prop=fm.FontProperties(size=opts.fs) - plt.legend(prop=prop, loc="%s" % (opts.loc)) - - # end of plotting - if opts.is_saveonly: - plt.savefig(pngname) - else: - plt.show() - - # closing input-file - if not opts.is_events: - infile.close() + ax.yaxis.set_major_formatter(ticker.NullFormatter()) + ax.yaxis.set_major_locator(ticker.NullLocator()) + ax.yaxis.set_minor_locator(ticker.NullLocator()) + + + # Making the title + if opts.title != '': + ax.set_title("\n".join(opts.title.split("\\n")), fontsize=opts.fs, x=opts.titlepos.split(",")[0], + y=opts.titlepos.split(",")[1], ha='%s' % (opts.titlepos.split(",")[-1])) + + # Putting the label + if opts.label != '': + ax.annotate("\n".join(opts.label.split("\\n")), fontsize=opts.fs, xycoords='axes fraction', xy=(0,0), + xytext=(opts.labelpos.split(",")[0], opts.labelpos.split(",")[1]), ha='%s' % (opts.labelpos.split(",")[-1])) + + # turn on the Legend (only when is used in profile-only mode or timeseries mode) + if opts.legend != '' and (opts.is_timeseries or opts.is_profileonly): + prop=fm.FontProperties(size=opts.fs) + plt.legend(prop=prop, loc="%s" % (opts.loc)) + + # end of plotting + if opts.is_saveonly: + plt.savefig(pngname) + else: + plt.show() + + # closing input-file + if not opts.is_events: + infile.close() diff --git a/bin/rfifind_stats.py b/bin/rfifind_stats.py index cdd0c8698..8874cddca 100755 --- a/bin/rfifind_stats.py +++ b/bin/rfifind_stats.py @@ -2,6 +2,12 @@ import sys from presto import rfifind +if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + + + if __name__=="__main__": a = rfifind.rfifind(sys.argv[1]) sys.stderr.write("\nWARNING!: If raw data have channels in decreasing freq\n") diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 9d0f93893..90b24e73a 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -520,7 +520,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig ppgplot.pgsch(0.8) ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) # redundant with pgenv ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") - ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\u-3\d)") + ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") ppgplot.pgsch(1.0) ppgplot.pgmtxt('T', 2.5, 0.3, 0.0, "Single Pulse Results for %s" % obsinfo['src']) diff --git a/bin/weights_to_ignorechan.py b/bin/weights_to_ignorechan.py index 43e378890..cb9f36146 100755 --- a/bin/weights_to_ignorechan.py +++ b/bin/weights_to_ignorechan.py @@ -50,6 +50,11 @@ def build_pazline(chanline): return outstr if __name__=="__main__": + + if len(sys.argv) != 2: + print("\nusage: {} file\n".format(sys.argv[0])) + sys.exit(1) + # Read the channels and weights chans, weights = read_weights(sys.argv[1]) diff --git a/python/Makefile b/python/Makefile deleted file mode 100644 index 5309c0eb7..000000000 --- a/python/Makefile +++ /dev/null @@ -1,15 +0,0 @@ -build: - python setup.py install --home=${PRESTO} - cd fftfit_src ; f2py -c fftfit.pyf *.f - cd fftfit_src ; cp fftfit*.so ${PRESTO}/lib/python - python fftfit_src/test_fftfit.py - -build3: - python3 setup.py install --home=${PRESTO} - cd fftfit_src ; f2py3 -c fftfit.pyf *.f - cd fftfit_src ; cp 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S/N>9.2,",\ + parser.add_option('--min-rank', dest='min_rank', type='int', + help="Min rank you want to make spd files for. (Default: 3)" + " Rank 1: noise," + " Rank 2: RFI," + " Rank 3: maybe astrophysical, very low S/N," + " Rank 4: probably astrophysical but weak, low S/N," + " Rank 5: Very high chance of being astrophysical. S/N>8.0," + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,", default=3) - parser.add_option('--group-rank', dest='group_rank', type='int',\ - help="Min rank you want to make spd files for. (Default: None)"\ - " Rank 1: noise,"\ - " Rank 2: RFI,"\ - " Rank 3: maybe astrophysical, very low S/N,"\ - " Rank 4: probably astrophysical but weak, low S/N,"\ - " Rank 5: Very high chance of being astrophysical. S/N>8.0,"\ - " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,",\ + parser.add_option('--group-rank', dest='group_rank', type='int', + help="Min rank you want to make spd files for. (Default: None)" + " Rank 1: noise," + " Rank 2: RFI," + " Rank 3: maybe astrophysical, very low S/N," + " Rank 4: probably astrophysical but weak, low S/N," + " Rank 5: Very high chance of being astrophysical. S/N>8.0," + " Rank 6: Almost guranteed to be astrophysical. S/N>9.2,", default=None) - parser.add_option('--use_manual_params', dest='man_params', action='store_true', \ - help="If this flag is not set it will use the parameters " \ - "from the RRATrap groups.txt file. "\ - "(Default: Not use this flag. When using "\ - "parameters from the output of rratrap. Just input"\ - "groups.txt file, mask file, the PSRFITs file"\ - "and the .singlepulse files as input. No need to specify any of"\ - " the other arguments.)",\ + parser.add_option('--use_manual_params', dest='man_params', action='store_true', + help="If this flag is not set it will use the parameters " + "from the RRATrap groups.txt file. " + "(Default: Not use this flag. When using " + "parameters from the output of rratrap. Just input" + "groups.txt file, mask file, the PSRFITs file" + "and the .singlepulse files as input. No need to specify any of" + " the other arguments.)", default=False) - parser.add_option('-o', dest='outbasenm', type='string', \ - help="basename of the output spd file.", \ + parser.add_option('-o', dest='outbasenm', type='string', + help="basename of the output spd file.", default=None) - parser.add_option('--noplot', dest='plot', action='store_false', \ - help="Do not generate spd plots.", \ + parser.add_option('--noplot', dest='plot', action='store_false', + help="Do not generate spd plots.", default=True) - parser.add_option('--just-waterfall', dest='just_waterfall', action='store_true', \ - help="Only produce the waterfall plots (frequency vs Time).", \ + parser.add_option('--just-waterfall', dest='just_waterfall', action='store_true', + help="Only produce the waterfall plots (frequency vs Time).", default=False) options, args = parser.parse_args() @@ -553,11 +558,11 @@ def main(): raise ValueError("The groups.txt file must be given on the command line! ") else: if not hasattr(options, 'start'): - raise ValueError("Start time (-T/--start-time) " \ + raise ValueError("Start time (-T/--start-time) " "must be given on command line!") if (not hasattr(options, 'duration')) and (not hasattr(options, 'nbins')): - raise ValueError("One of duration (-t/--duration) " \ - "and num bins (-n/--nbins)" \ + raise ValueError("One of duration (-t/--duration) " + "and num bins (-n/--nbins)" "must be given on command line!") if options.subdm is None: options.subdm = options.dm diff --git a/python/presto/singlepulse/plot_spd.py b/python/presto/singlepulse/plot_spd.py index 828bdfc3e..ca8751ecd 100755 --- a/python/presto/singlepulse/plot_spd.py +++ b/python/presto/singlepulse/plot_spd.py @@ -12,11 +12,11 @@ from builtins import map import numpy as np import optparse -import tarfile +import tarfile from subprocess import Popen, PIPE -import presto.singlepulse.sp_pgplot as sp_pgplot -import presto.singlepulse.read_spd as read_spd -import presto.singlepulse.spio as spio +from presto.singlepulse import sp_pgplot +from presto.singlepulse import read_spd +from presto.singlepulse import spio def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=False, outfile="spdplot", @@ -52,17 +52,17 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal if not spdfile.endswith(".spd"): raise ValueError("The first file must be a .spd file") - #npzfile = np.load(spdfile) - spdobj = read_spd.spd(spdfile) + # npzfile = np.load(spdfile) + spdobj = read_spd.spd(spdfile) ##### Read in the header information and other required variables for the plots. ###### - #text_array = npzfile['text_array'] + # text_array = npzfile['text_array'] man_params = spdobj.man_params fn = spdobj.filename telescope = spdobj.telescope RA = spdobj.ra dec = spdobj.dec MJD = spdobj.mjd - mjd = Popen(["mjd2cal", "%f"%MJD], stdout=PIPE, stderr=PIPE) + mjd = Popen(["mjd2cal", "%f" % MJD], stdout=PIPE, stderr=PIPE) date, err = mjd.communicate() date = date.split()[2:5] rank = spdobj.rank @@ -77,7 +77,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal tsamp = spdobj.tsamp Total_observed_time = spdobj.total_obs_time topo_start = spdobj.pulse_peak_time - start = topo_start - loc_pulse*duration + start = topo_start - loc_pulse * duration datastart = spdobj.waterfall_start_time datasamp = spdobj.waterfall_tsamp datanumspectra = spdobj.waterfall_prededisp_nbins @@ -86,7 +86,7 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sweep_duration = spdobj.sweep_duration sweeped_start = spdobj.sweep_start_time bary_start = spdobj.bary_pulse_peak_time - downsamp = datasamp/tsamp + downsamp = datasamp / tsamp if xwin: pgplot_device = "/XWIN" else: @@ -94,22 +94,24 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal if pgplot_device: sp_pgplot.ppgplot.pgopen(pgplot_device) else: - if (outfile == "spdplot"): # default filename + if (outfile == "spdplot"): # default filename if rank: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + sp_pgplot.ppgplot.pgopen( + fn[:-5] + '_DM%.1f_%.1fs_rank_%i.spd.ps/VPS' % (subdm, (start + loc_pulse * duration), rank)) else: - sp_pgplot.ppgplot.pgopen(fn[:-5]+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + sp_pgplot.ppgplot.pgopen(fn[:-5] + '_DM%.1f_%.1fs.spd.ps/VPS' % (subdm, (start + loc_pulse * duration))) else: if rank: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs_rank_%i.spd.ps/VPS'%(subdm, (start+loc_pulse*duration), rank)) + sp_pgplot.ppgplot.pgopen( + outfile + '_DM%.1f_%.1fs_rank_%i.spd.ps/VPS' % (subdm, (start + loc_pulse * duration), rank)) else: - sp_pgplot.ppgplot.pgopen(outfile+'_DM%.1f_%.1fs.spd.ps/VPS'%(subdm, (start+loc_pulse*duration))) + sp_pgplot.ppgplot.pgopen(outfile + '_DM%.1f_%.1fs.spd.ps/VPS' % (subdm, (start + loc_pulse * duration))) if (just_waterfall == False): - sp_pgplot.ppgplot.pgpap(10.25, 8.5/11.0) + sp_pgplot.ppgplot.pgpap(10.25, 8.5 / 11.0) # Dedispersed waterfall plot - zerodm - OFF array = spdobj.data_nozerodm_dedisp.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.50, 0.80) - sp_pgplot.ppgplot.pgswin(datastart-start, datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) @@ -117,135 +119,141 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") if not integrate_spec: sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - - #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp - if integrate_ts: + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') + + #### Plot Dedispersed Time series - Zerodm filter - Off + Dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp + if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.80, 0.90) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(Dedisp_ts), + 1.05 * np.max(Dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgline(times, Dedisp_ts) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgsci(1) - - errx1 = np.array([0.60 * (datastart-start+duration)]) + + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(Dedisp_ts)]) erry2 = np.array([np.std(Dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - Off if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.5, 0.8) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON + + # Dedispersed waterfall plot - Zerodm ON sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.1, 0.40) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s" % datastart) sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") if not integrate_spec: sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") array = spdobj.data_zerodm_dedisp.astype(np.float64) - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp + dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.07, 0.40, 0.40, 0.50) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(dedisp_ts), + 1.05 * np.max(dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) + sp_pgplot.ppgplot.pgline(times, dedisp_ts) + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(dedisp_ts)]) erry2 = np.array([np.std(dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - On if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.4, 0.47, 0.1, 0.4) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - + if disp_pulse: # Sweeped waterfall plot Zerodm - OFF array = spdobj.data_nozerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.50, 0.70) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') delays = spdobj.dmsweep_delays freqs = spdobj.dmsweep_freqs sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) sp_pgplot.ppgplot.pgslw(3) - + # Sweeped waterfall plot Zerodm - ON array = spdobj.data_zerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.20, 0.40, 0.1, 0.3) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) - + #### Figure texts if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.81, 0.97, 0.64, 0.909) @@ -254,39 +262,39 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgsvp(0.745, 0.97, 0.64, 0.909) sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" % RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.6, 0.01, 0.0, "DEC: %s" % dec) + sp_pgplot.ppgplot.pgmtxt('T', -4.1, 0.01, 0.0, "MJD: %f" % MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.6, 0.01, 0.0, "Obs date: %s %s %s" % (date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -7.1, 0.01, 0.0, "Telescope: %s" % telescope) + sp_pgplot.ppgplot.pgmtxt('T', -8.6, 0.01, 0.0, "DM: %.2f pc cm\\u-3\\d" % dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: %.2f" % sigma) else: sp_pgplot.ppgplot.pgmtxt('T', -10.1, 0.01, 0.0, "S/N\\dMAX\\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \\gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgmtxt('T', -11.6, 0.01, 0.0, "Number of samples: %i" % nbins) + sp_pgplot.ppgplot.pgmtxt('T', -13.1, 0.01, 0.0, "Number of subbands: %i" % nsub) + sp_pgplot.ppgplot.pgmtxt('T', -14.6, 0.01, 0.0, "Pulse width: %.2f ms" % (pulse_width * 1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -16.1, 0.01, 0.0, "Sampling time: %.3f \\gms" % (tsamp * 1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -17.6, 0.0, 0.0, "Bary pulse peak time: %.2f s" % (bary_start)) sp_pgplot.ppgplot.pgsvp(0.07, 0.7, 0.01, 0.05) - sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" %fn) - - #DM vs SNR + sp_pgplot.ppgplot.pgmtxt('T', -2.1, 0.01, 0.0, "%s" % fn) + + # DM vs SNR if not man_params: dm_arr = np.float32(spdobj.dmVt_this_dms) - sigma_arr = np.float32 (spdobj.dmVt_this_sigmas) - time_arr = np.float32 (spdobj.dmVt_this_times) + sigma_arr = np.float32(spdobj.dmVt_this_sigmas) + time_arr = np.float32(spdobj.dmVt_this_times) if integrate_spec: sp_pgplot.ppgplot.pgsvp(0.55, 0.80, 0.65, 0.90) else: sp_pgplot.ppgplot.pgsvp(0.48, 0.73, 0.65, 0.90) - sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95*np.min(sigma_arr), 1.05*np.max(sigma_arr)) + sp_pgplot.ppgplot.pgswin(np.min(dm_arr), np.max(dm_arr), 0.95 * np.min(sigma_arr), 1.05 * np.max(sigma_arr)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\d)") + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "DM (pc cm\\u-3\\d)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Signal-to-noise") sp_pgplot.ppgplot.pgpt(dm_arr, sigma_arr, 20) else: @@ -330,179 +338,186 @@ def plot(spdfile, singlepulsefiles=None, spec_width=1.5, loc_pulse=0.5, xwin=Fal sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time (s)") sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "DM (pc cm\\u-3\\d)") else: - #sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) + # sp_pgplot.ppgplot.pgpap(10.25, 10.0/5.0) sp_pgplot.ppgplot.pgpap(8.0, 1.5) # Dedispersed waterfall plot - zerodm - OFF array = spdobj.data_nozerodm_dedisp.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart -start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCNST", 0, 0) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp], rangey = [min_freq, max_freq], image = 'apjgrey') - + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') + #### Plot Dedispersed Time series - Zerodm filter - Off - Dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp + Dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.75, 0.83) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(Dedisp_ts), 1.05*np.max(Dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(Dedisp_ts), + 1.05 * np.max(Dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,Dedisp_ts) + sp_pgplot.ppgplot.pgline(times, Dedisp_ts) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgsci(1) - errx1 = np.array([0.60 * (datastart-start+duration)]) + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(Dedisp_ts)]) erry2 = np.array([np.std(Dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - Off if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.7, 0.9, 0.44, 0.75) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - Off") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - - #Dedispersed waterfall plot - Zerodm ON + + # Dedispersed waterfall plot - Zerodm ON array = spdobj.data_zerodm_dedisp.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.1, 0.70, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(datastart-start , datastart-start+datanumspectra*datasamp, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + datanumspectra * datasamp, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BCNST", 0, 0, "BCNST", 0, 0) - sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s"%datastart) + sp_pgplot.ppgplot.pgmtxt('B', 2.5, 0.5, 0.5, "Time - %.2f s" % datastart) sp_pgplot.ppgplot.pgmtxt('L', 1.8, 0.5, 0.5, "Observing Frequency (MHz)") - sp_pgplot.plot_waterfall(array,rangex = [datastart-start, datastart-start+datanumspectra*datasamp],rangey = [min_freq, max_freq],image = 'apjgrey') - - + sp_pgplot.plot_waterfall(array, rangex=[datastart - start, datastart - start + datanumspectra * datasamp], + rangey=[min_freq, max_freq], image='apjgrey') + #### Plot Dedispersed Time series - Zerodm filter - On - dedisp_ts = array[::-1].sum(axis = 0) - times = np.arange(datanumspectra)*datasamp + dedisp_ts = array[::-1].sum(axis=0) + times = np.arange(datanumspectra) * datasamp if integrate_ts: sp_pgplot.ppgplot.pgsvp(0.1, 0.7, 0.36, 0.44) - sp_pgplot.ppgplot.pgswin(datastart - start, datastart-start+duration, np.min(dedisp_ts), 1.05*np.max(dedisp_ts)) + sp_pgplot.ppgplot.pgswin(datastart - start, datastart - start + duration, np.min(dedisp_ts), + 1.05 * np.max(dedisp_ts)) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(times,dedisp_ts) - errx1 = np.array([0.60 * (datastart-start+duration)]) + sp_pgplot.ppgplot.pgline(times, dedisp_ts) + errx1 = np.array([0.60 * (datastart - start + duration)]) erry1 = np.array([0.60 * np.max(dedisp_ts)]) erry2 = np.array([np.std(dedisp_ts)]) errx2 = np.array([pulse_width]) sp_pgplot.ppgplot.pgerrb(5, errx1, erry1, errx2, 1.0) sp_pgplot.ppgplot.pgpt(errx1, erry1, -1) - + #### Plot Spectrum - Zerodm filter - On if integrate_spec: - spectrum_window = spec_width*pulse_width - window_width = int(spectrum_window/datasamp) - #burst_bin = int(datanumspectra*loc_pulse/downsamp) - burst_bin = int(nbins*loc_pulse/downsamp) - on_spec = array[..., burst_bin-window_width:burst_bin+window_width] + spectrum_window = spec_width * pulse_width + window_width = int(spectrum_window / datasamp) + # burst_bin = int(datanumspectra*loc_pulse/downsamp) + burst_bin = int(nbins * loc_pulse / downsamp) + on_spec = array[..., burst_bin - window_width:burst_bin + window_width] Dedisp_spec = on_spec.sum(axis=1) - freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) + freqs = np.linspace(min_freq, max_freq, len(Dedisp_spec)) sp_pgplot.ppgplot.pgsvp(0.70, 0.90, 0.05, 0.36) - sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05*np.max(Dedisp_spec), min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(np.min(Dedisp_spec), 1.05 * np.max(Dedisp_spec), min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(3) sp_pgplot.ppgplot.pgbox("BC", 0, 0, "BC", 0, 0) sp_pgplot.ppgplot.pgsci(1) - sp_pgplot.ppgplot.pgline(Dedisp_spec,freqs) + sp_pgplot.ppgplot.pgline(Dedisp_spec, freqs) sp_pgplot.ppgplot.pgmtxt('R', 1.8, 0.5, 0.5, "Zero-dm filtering - On") sp_pgplot.ppgplot.pgsch(0.7) sp_pgplot.ppgplot.pgmtxt('T', 1.8, 0.5, 0.5, "Spectrum") sp_pgplot.ppgplot.pgsch(0.8) - if disp_pulse: + if disp_pulse: # Sweeped waterfall plot Zerodm - OFF array = spdobj.data_nozerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.44, 0.65) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') delays = spdobj.dmsweep_delays freqs = spdobj.dmsweep_freqs sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) sp_pgplot.ppgplot.pgslw(3) - + # Sweeped waterfall plot Zerodm - ON array = spdobj.data_zerodm.astype(np.float64) sp_pgplot.ppgplot.pgsvp(0.3, 0.70, 0.05, 0.25) - sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start+sweep_duration, min_freq, max_freq) + sp_pgplot.ppgplot.pgswin(sweeped_start, sweeped_start + sweep_duration, min_freq, max_freq) sp_pgplot.ppgplot.pgsch(0.8) sp_pgplot.ppgplot.pgslw(4) sp_pgplot.ppgplot.pgbox("BCST", 0, 0, "BCST", 0, 0) sp_pgplot.ppgplot.pgsch(3) - sp_pgplot.plot_waterfall(array,rangex = [sweeped_start, sweeped_start+sweep_duration],rangey = [min_freq, max_freq],image = 'apjgrey') + sp_pgplot.plot_waterfall(array, rangex=[sweeped_start, sweeped_start + sweep_duration], + rangey=[min_freq, max_freq], image='apjgrey') sp_pgplot.ppgplot.pgslw(5) - sweepstart = sweeped_start- 0.2*sweep_duration + sweepstart = sweeped_start - 0.2 * sweep_duration sp_pgplot.ppgplot.pgsci(0) - sp_pgplot.ppgplot.pgline(delays+sweepstart, freqs) + sp_pgplot.ppgplot.pgline(delays + sweepstart, freqs) sp_pgplot.ppgplot.pgsci(1) - + #### Figure texts sp_pgplot.ppgplot.pgsvp(0.05, 0.95, 0.8, 0.9) sp_pgplot.ppgplot.pgsch(0.65) sp_pgplot.ppgplot.pgslw(3) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" %RA) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" %dec) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" %MJD) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" %(date[0], date[1], date[2])) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" %telescope) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\\u-3\\d" %dm) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.01, 0.0, "RA: %s" % RA) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.01, 0.0, "DEC: %s" % dec) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.01, 0.0, "MJD: %f" % MJD) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.01, 0.0, "Obs date: %s %s %s" % (date[0], date[1], date[2])) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.35, 0.0, "Telescope: %s" % telescope) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.35, 0.0, "DM: %.2f pc cm\\u-3\\d" % dm) if sigma: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: %.2f" %sigma) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\\dMAX\\u: %.2f" % sigma) else: - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\dMAX\\u: N/A") - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" %nbins) - sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" %nsub) - sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" %(pulse_width*1e3)) - sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" %(tsamp*1e6)) - sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" %(bary_start)) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.35, 0.0, "S/N\\dMAX\\u: N/A") + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.35, 0.0, "Number of samples: %i" % nbins) + sp_pgplot.ppgplot.pgmtxt('T', -1.1, 0.65, 0.0, "Number of subbands: %i" % nsub) + sp_pgplot.ppgplot.pgmtxt('T', -2.5, 0.65, 0.0, "Pulse width: %.2f ms" % (pulse_width * 1e3)) + sp_pgplot.ppgplot.pgmtxt('T', -3.9, 0.65, 0.0, "Sampling time: %.3f \gms" % (tsamp * 1e6)) + sp_pgplot.ppgplot.pgmtxt('T', -5.3, 0.65, 0.0, "Bary pulse peak time: %.2f s" % (bary_start)) sp_pgplot.ppgplot.pgiden() sp_pgplot.ppgplot.pgclos() + def main(): parser = optparse.OptionParser(prog="plot_spd.py", - usage = "%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") + usage="%prog [OPTIONS] INFILE (.spd file) INFILES (.singlepulse files)") parser.add_option("-x", "--xwin", action="store_true", dest="xwin", default=False, help="Don't make a postscript plot, just use an X-window") - parser.add_option("-o", dest= "outfile", type = "string", default = "spdplot", - help= "give a base name to the saved plot. DM, time and" - "rank values will be added automatically" ) + parser.add_option("-o", dest="outfile", type="string", default="spdplot", + help="give a base name to the saved plot. DM, time and" + "rank values will be added automatically") parser.add_option("--spec-width", dest="spec_width", type="float", help="Twice this number times the pulse width" - "is the window around the pulse considered for the spectrum. (Default: 1.5)", + "is the window around the pulse considered for the spectrum. (Default: 1.5)", default=1.5) - parser.add_option("--loc", dest="loc_pulse", type="float", help="Fraction of the window length where the pulse is located." - "(Default: 0.5 half way in.)", + parser.add_option("--loc", dest="loc_pulse", type="float", + help="Fraction of the window length where the pulse is located." + "(Default: 0.5 half way in.)", default=0.5) parser.add_option("--just-waterfall", action="store_true", dest="just_waterfall", default=False, help="Just produce the waterfall plots.") @@ -513,7 +528,7 @@ def main(): parser.add_option("--show-sweep", action="store_true", dest="disp_pulse", default=False, help="Show dispersed pulse.(Default: Don't show dispersed pulse)") (options, args) = parser.parse_args() - + if len(args) == 0: raise ValueError("need a .spd file and .singlepulse files in that order.") if not args[0].endswith(".spd"): @@ -521,13 +536,15 @@ def main(): if len(args) == 2: tar = tarfile.open(args[1], "r:gz") # read in the tarball filenames = tar.getnames() # get the filenames - plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, + plot(args[0], filenames, options.spec_width, options.loc_pulse, options.xwin, options.outfile, + options.just_waterfall, options.integrate_spec, options.integrate_ts, options.disp_pulse, tar) # make the sp plots tar.close() else: - plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, options.just_waterfall, - options.integrate_spec, options.integrate_ts, options.disp_pulse, tar = None) # make the sp plots + plot(args[0], args[1:], options.spec_width, options.loc_pulse, options.xwin, options.outfile, + options.just_waterfall, + options.integrate_spec, options.integrate_ts, options.disp_pulse, tar=None) # make the sp plots if __name__ == '__main__': - main() + main() diff --git a/python/presto/singlepulse/rrattrap.py b/python/presto/singlepulse/rrattrap.py index 4c72db3c7..1132a1791 100755 --- a/python/presto/singlepulse/rrattrap.py +++ b/python/presto/singlepulse/rrattrap.py @@ -21,7 +21,7 @@ import matplotlib.pyplot as plt from presto.Pgplot import * import optparse -import presto.singlepulse.spio as spio +from presto.singlepulse import spio FRACTIONAL_SIGMA = 0.9 # change to 0.8? ALL_RANKS_ORDERED = [1,2,0,3,4,5,6] From 1423a24db7f27c80388d3e6220f769cde7045acf Mon Sep 17 00:00:00 2001 From: Gijs Molenaar Date: Fri, 14 Dec 2018 13:47:05 +0200 Subject: [PATCH 101/146] add travis and docker files --- .dockerignore | 64 +++++++++++++++++++++++++++++++++++++++++++++ .gitignore | 2 +- .travis.yml | 21 +++++++++++++++ .travis/mypy.docker | 7 +++++ .travis/pep8.docker | 7 +++++ .travis/py2.docker | 19 ++++++++++++++ .travis/py3.docker | 18 +++++++++++++ setup.py | 2 +- 8 files changed, 138 insertions(+), 2 deletions(-) create mode 100644 .dockerignore create mode 100644 .travis.yml create mode 100644 .travis/mypy.docker create mode 100644 .travis/pep8.docker create mode 100644 .travis/py2.docker create mode 100644 .travis/py3.docker diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..0a70af3e9 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,64 @@ +*.[oa] +*.so +*.dylib +*.pyc +*~ +.DS_Store +TAGS +*egg-info +lib/fftw_wisdom.txt +bin/GBT350filterbank +bin/accelsearch +bin/bary +bin/bincand +bin/cal2mjd +bin/check_parkes_raw +bin/dat2sdat +bin/dftfold +bin/downsample +bin/dump_spigot_zerolag +bin/exploredat +bin/explorefft +bin/fitsdelcol +bin/fitsdelrow +bin/makedata +bin/makeinf +bin/mjd2cal +bin/mpiprepsubband +bin/patchdata +bin/plotbincand +bin/prepdata +bin/prepfold +bin/prepsubband +bin/psrorbit +bin/psrfits_dumparrays +bin/quicklook +bin/readfile +bin/realfft +bin/rednoise +bin/rfifind +bin/sdat2dat +bin/search_bin +bin/search_rzw +bin/shiftdata +bin/show_pfd +bin/spigot2filterbank +bin/spigotSband2filterbank +bin/split_parkes_beams +bin/swap_endian +bin/taperaw +bin/toas2dat +bin/un_sc_td +bin/weight_psrfits +bin/window +bin/zapbirds +lib/python/ppgplot/ +lib/python/presto/ +python/build/ +src/slalib/sla_test +src/makewisdom +src/fftw_wisdom.txt +MANIFEST +.venv*/ +dist/ +.mypy_cache/ diff --git a/.gitignore b/.gitignore index 1893acb8e..0a70af3e9 100644 --- a/.gitignore +++ b/.gitignore @@ -61,4 +61,4 @@ src/fftw_wisdom.txt MANIFEST .venv*/ dist/ - +.mypy_cache/ diff --git a/.travis.yml b/.travis.yml new file mode 100644 index 000000000..ee2b0b4d1 --- /dev/null +++ b/.travis.yml @@ -0,0 +1,21 @@ +language: python +matrix: + include: + - env: TARGET=py2 + - env: TARGET=py3 + - env: TARGET=pep8 + - env: TARGET=mypy + allow_failures: + - env: TARGET=pep8 + - env: TARGET=mypy +sudo: required +services: +- docker +before_install: +- true +install: +- docker build . -t ${TARGET} -f .travis/${TARGET}.docker +before_script: +- true +script: +- true diff --git a/.travis/mypy.docker b/.travis/mypy.docker new file mode 100644 index 000000000..e4bf66fe4 --- /dev/null +++ b/.travis/mypy.docker @@ -0,0 +1,7 @@ +FROM kernsuite/base:4 +RUN docker-apt-install python3-pip +RUN pip3 install mypy +ADD . /code +WORKDIR /code +RUN mypy --ignore-missing-imports python + diff --git a/.travis/pep8.docker b/.travis/pep8.docker new file mode 100644 index 000000000..bb5489d3b --- /dev/null +++ b/.travis/pep8.docker @@ -0,0 +1,7 @@ +FROM kernsuite/base:4 +RUN docker-apt-install python3-pip +RUN pip3 install pycodestyle +ADD . /code +WORKDIR /code +RUN pycodestyle python --ignore=E501 + diff --git a/.travis/py2.docker b/.travis/py2.docker new file mode 100644 index 000000000..74c5abe26 --- /dev/null +++ b/.travis/py2.docker @@ -0,0 +1,19 @@ +FROM kernsuite/base:4 +RUN docker-apt-install \ + python-pip \ + python-numpy \ + python-future \ + python-six \ + python-scipy \ + python-astropy \ + gfortran \ + pgplot5 \ + libx11-dev \ + libglib2.0-dev \ + libcfitsio-dev \ + libpng-dev \ + libfftw3-dev +RUN docker-apt-install pgplot5 +ADD . /code +RUN pip install /code + diff --git a/.travis/py3.docker b/.travis/py3.docker new file mode 100644 index 000000000..2caa3fa8e --- /dev/null +++ b/.travis/py3.docker @@ -0,0 +1,18 @@ +FROM kernsuite/base:4 +RUN docker-apt-install \ + python3-pip \ + python3-numpy \ + python3-future \ + python3-six \ + python3-scipy \ + python3-astropy \ + gfortran \ + pgplot5 \ + libx11-dev \ + libglib2.0-dev \ + libcfitsio-dev \ + libpng-dev \ + libfftw3-dev +ADD . /code +RUN pip3 install /code + diff --git a/setup.py b/setup.py index aeb7f8540..00e23ab2a 100644 --- a/setup.py +++ b/setup.py @@ -19,7 +19,7 @@ ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] ppgplot_library_dirs = ["/usr/X11R6/lib"] -presto_libraries = ["presto", "fftw3f", "m"] +presto_libraries = ["fftw3f", "m"] presto_library_dirs = [] ppgplot_include_dirs = include_dirs From 15923cb3ba61fa771a50efa63360dd203c3ff6c3 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:14:21 -0800 Subject: [PATCH 102/146] Fixed print call (Thanks sk8forether) --- python/presto/sigproc.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/presto/sigproc.py b/python/presto/sigproc.py index 0bd9c9189..0c0bfc1c6 100755 --- a/python/presto/sigproc.py +++ b/python/presto/sigproc.py @@ -89,7 +89,7 @@ def read_intval(filfile, stdout=False): def read_charval(filfile, stdout=False): charval = struct.unpack('b', filfile.read(1))[0] if stdout: - print " char value = '%d'"%charval + print(" char value = '%d'"%charval) return charval def read_longintval(filfile, stdout=False): From 06d4ab08a6cd7891b3d41513ced3c710fa94eee5 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:29:16 -0800 Subject: [PATCH 103/146] Fixed a few random print commands --- bin/gotocand.py | 2 +- bin/rrattrap.py | 2 +- python/presto/mpfit.py | 6 +++--- python/presto/psr_utils.py | 6 +++--- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/bin/gotocand.py b/bin/gotocand.py index 9809249a4..4b10edc44 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -77,7 +77,7 @@ def find_datfile(nodename, basename, DM): line = line.join(line.split()[1:]) if line.endswith(".dat"): datfile = line - print "'%s'"%datfile + print("'%s'"%datfile) if datfile!='' and datfile.startswith("/scratch"): return datfile return None diff --git a/bin/rrattrap.py b/bin/rrattrap.py index 90b24e73a..15b25944d 100755 --- a/bin/rrattrap.py +++ b/bin/rrattrap.py @@ -571,7 +571,7 @@ def plot_sp_rated_pgplot(groups, ranks, inffile, ylow=0, yhigh=100, xlow=0, xhig def print_debug(msg): if DEBUG: print(msg) -# print h.heap() + # print(h.heap()) def pop_by_rank(groups, rank): diff --git a/python/presto/mpfit.py b/python/presto/mpfit.py index 82b916b19..faa6340b8 100644 --- a/python/presto/mpfit.py +++ b/python/presto/mpfit.py @@ -279,9 +279,9 @@ def myfunct(p, fjac=None, x=None, y=None, err=None) p[4]*numpy.log(x)) fa = {'x':x, 'y':y, 'err':err} m = mpfit('myfunct', p0, functkw=fa) - print 'status = ', m.status - if (m.status <= 0): print 'error message = ', m.errmsg - print 'parameters = ', m.params + print('status = ', m.status) + if (m.status <= 0): print('error message = ', m.errmsg) + print('parameters = ', m.params) Minimizes sum of squares of MYFUNCT. MYFUNCT is called with the X, Y, and ERR keyword parameters that are given by FUNCTKW. The diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 29701c299..6d3c5761c 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -473,7 +473,7 @@ def TS99_WDmass(pb, pop="I+II"): "I+II": (4.75, 1.1e5, 0.115), "II": (5.00, 1.0e5, 0.110)} if pop not in vals.keys(): - print "Not a valid stellar pop: should be 'I', 'I+II', or 'II'" + print("Not a valid stellar pop: should be 'I', 'I+II', or 'II'") return None else: a, b, c = vals[pop] @@ -1292,7 +1292,7 @@ def fwhm_func(k, fwhm=fwhm): elif (fwhm < 0.02): # The following is from expanding of iO(x) as x->Infinity. k = Num.log(2.0) / (1.0 - Num.cos(PI * fwhm)) - # print "Expansion: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0)) + # print("Expansion: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0))) phsval = Num.fmod(phsval + phi, TWOPI) phsval = Num.where(Num.greater(phsval, PI), phsval - TWOPI, phsval) @@ -1303,7 +1303,7 @@ def fwhm_func(k, fwhm=fwhm): else: k = secant(fwhm_func, 1e-8, 0.5) norm = 1.0 / (i0(k) - Num.exp(-k)) - # print "Full Calc: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0)) + # print("Full Calc: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0))) if (k < 0.05): tmp = Num.cos(phsval + phi) tmp2 = tmp * tmp From 41baaac38fe86c31f942ee7ce80364d74bc50901 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:36:41 -0800 Subject: [PATCH 104/146] Added sys import --- python/presto/Pgplot.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/presto/Pgplot.py b/python/presto/Pgplot.py index 7299b1b5e..9becae374 100644 --- a/python/presto/Pgplot.py +++ b/python/presto/Pgplot.py @@ -16,6 +16,7 @@ from __future__ import print_function from builtins import range from builtins import object +import sys import numpy as Num from presto import ppgplot From c7e036f8e3eb6e2db423f6051decbd510c8c669f Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 07:51:43 -0800 Subject: [PATCH 105/146] Added link to presto.so for compiled python modules --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 00e23ab2a..aeb7f8540 100644 --- a/setup.py +++ b/setup.py @@ -19,7 +19,7 @@ ppgplot_libraries = ["cpgplot", "pgplot", "X11", "png", "m"] ppgplot_library_dirs = ["/usr/X11R6/lib"] -presto_libraries = ["fftw3f", "m"] +presto_libraries = ["presto", "fftw3f", "m"] presto_library_dirs = [] ppgplot_include_dirs = include_dirs From 8236dc14dc16ec58f8de1c5b92c433aedaab6276 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 09:35:16 -0800 Subject: [PATCH 106/146] Updated python test scripts --- tests/test_max_rzw_harmonics.py | 22 ++++++++++++++-------- tests/test_presto_python.py | 10 +++------- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/tests/test_max_rzw_harmonics.py b/tests/test_max_rzw_harmonics.py index f6e77686a..18dfb1ffc 100644 --- a/tests/test_max_rzw_harmonics.py +++ b/tests/test_max_rzw_harmonics.py @@ -1,8 +1,14 @@ +import sys +import time import numpy as np -from presto import presto from numpy.random import standard_normal as norm from numpy.random import uniform -import time +from presto import presto + +if sys.version_info[0]<3: + clk = time.clock +else: + clk = time.perf_counter N = 2**17 noiseamp = 1.0 @@ -36,7 +42,7 @@ offset = uniform(-1.0, 1.0, 3) * np.array([0.5, 2.0, 20.0]) / (0.5 * numharm) - a = time.clock() + a = clk() if (numharm > 1): [maxpow, rmax, zmax, rds] = presto.maximize_rz_harmonics(ft, r+offset[0], z+offset[1], numharm, @@ -45,10 +51,10 @@ [maxpow, rmax, zmax, rd] = presto.maximize_rz(ft, r+offset[0], z+offset[1], norm=1.0) - rztime += time.clock() - a + rztime += clk() - a rzerrs[n] = (maxpow/numharm - theo_max_pow) / theo_max_pow, rmax - r, zmax - z - a = time.clock() + a = clk() if (numharm > 1): [maxpow, rmax, zmax, wmax, rds] = presto.maximize_rzw_harmonics(ft, r+offset[0], z+offset[1], @@ -59,11 +65,11 @@ z+offset[1], w+offset[2], norm=1.0) - rzwtime += time.clock() - a + rzwtime += clk() - a rzwerrs[n] = (maxpow/numharm - theo_max_pow) / theo_max_pow, rmax - r, zmax - z, wmax - w -print("Time for rz: %s".format(rztime / numtrials)) -print("Time for rzw: %s".format(rzwtime / numtrials)) +print("Time for rz: %f" % (rztime / numtrials)) +print("Time for rzw: %f" % (rzwtime / numtrials)) print("rzerrs:") print(" avg: %6.3f %6.3f %6.3f" % tuple(rzerrs.mean(axis=0))) diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index 0b50d9e8e..e5c22f039 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -6,8 +6,6 @@ here = path.dirname(__file__) - - print("Testing FFT stuff...", end=' ') N = 20 x = np.random.standard_normal(N) @@ -66,9 +64,7 @@ psr = presto.psrepoch("J0737-3039A", 56000.0, verbose=False) assert(round(psr.dm-48.92, 7)==0) # This needs to change when we start using the actual psrcat.db file -print("\nTODO: fix the precision of the values in the catalog!!") -assert(round(psr.orb.p-8838.72, 7)==0) -#assert(round(psr.orb.p-8834.534998272, 7)==0) +assert(round(psr.orb.p-8834.534998272, 7)==0) print("success") print("Testing spectralpower and spectralphase...", end=' ') @@ -121,7 +117,6 @@ numbetween = 16 z = 5.0 w = 40.0 -# Should use w_resp_halfwidth() for this. Need to update that! bins_per_side = max([presto.r_resp_halfwidth(presto.LOWACC), \ presto.z_resp_halfwidth(z, presto.LOWACC), \ presto.w_resp_halfwidth(z, w, presto.LOWACC)]) @@ -133,7 +128,8 @@ pz = presto.spectralpower(zresp) pw = presto.spectralpower(wresp) rs = np.arange(float(nn))/numbetween - bins_per_side -if 0: +if False: + import matplotlib.pyplot as plt plt.plot(rs, pr, 'b-') plt.plot(rs, pz, 'g-') plt.plot(rs, pw, 'r-') From b164b6bdacc653db470b20d9fed8963e5dbd7b43 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 10:01:05 -0800 Subject: [PATCH 107/146] Changed tabs to spaces --- bin/makezaplist.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/bin/makezaplist.py b/bin/makezaplist.py index 55550d639..3ee35408f 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -45,8 +45,8 @@ def processbirds(filename): min_psr_width = 40.0 / T file = open(filename, "r") for line in file.readlines(): - if (len(line)<=3 or line[0]=='#'): - continue + if (len(line)<=3 or line[0]=='#'): + continue elif (line[0]=='P'): (tmp, psrname, numharm) = line.split() numharm = int(numharm) @@ -69,7 +69,7 @@ def processbirds(filename): birds.append(bird(midf, width, bary=1)) else: words = line.split() - increase_width = 0 + increase_width = 0 bary = 0 if (len(words) >= 3): freq = float(words[0]) From cd284871ea3876ad8e31624098cdeccfeb899b00 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 10:10:03 -0800 Subject: [PATCH 108/146] Fixed sort of birds --- bin/makezaplist.py | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/bin/makezaplist.py b/bin/makezaplist.py index 3ee35408f..c6a044fef 100755 --- a/bin/makezaplist.py +++ b/bin/makezaplist.py @@ -1,23 +1,19 @@ #!/usr/bin/env python from __future__ import print_function -from past.builtins import cmp from builtins import str from builtins import range from builtins import object -from sys import argv, exit +import sys +from operator import attrgetter from presto.presto import read_inffile, binary_velocity, psrepoch - class bird(object): def __init__(self, freq, width, bary=0): self.freq = freq self.width = width self.bary = bary - def __cmp__(self, other): - return cmp(self.freq, other.freq) - def __str__(self): if self.bary: return "B %20.15g %20.15g\n" % (self.freq, self.width) @@ -30,7 +26,7 @@ def processbirds(filename): ii = filename.index(".birds") except ValueError: print("\nThe birdie filename must end in '.birds'\n") - exit(0) + sys.exit(0) else: rootname = filename[:ii] psrs = 0 @@ -92,7 +88,7 @@ def processbirds(filename): print("\nRead %d freqs, %d pulsars, and %d harmonic series." % \ (freqs, psrs, trains)) print("Total number of birdies = %d" % (len(birds))) - birds.sort() + birds.sort(key=attrgetter('freq')) file.close() file = open(rootname+".zaplist", "w") file.write("# This file created automatically with makebirds.py\n") @@ -106,9 +102,9 @@ def processbirds(filename): print("\nWrote '%s'\n" % (rootname+".zaplist")) if __name__ == '__main__': - if len(argv)==1: + if len(sys.argv)==1: print("\nusage: makezaplist.py birdsfilename") print(" Note: 'birdsfilename' must end in '.birds'\n") print(" and a related infofile ('.inf') must exist.\n") else: - processbirds(argv[1]) + processbirds(sys.argv[1]) From 8e0488dc92a3fd10198e80ab2256b04210f3a5c5 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 10:25:11 -0800 Subject: [PATCH 109/146] Fixed imports for ACCEL_sift.py --- python/ACCEL_sift.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index 66a915e10..5a78197ae 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,5 +1,7 @@ from builtins import map -import sifting, re, glob +import re +import glob +import presto.sifting as sifting from operator import itemgetter, attrgetter # Note: You will almost certainly want to adjust From 2807f8865e56ecbcd807c9e31f12bab48ec641d3 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 11:00:54 -0800 Subject: [PATCH 110/146] Fixed popen calls and imports --- bin/gotocand.py | 45 ++++++++++++++++++++++++++++++--------------- 1 file changed, 30 insertions(+), 15 deletions(-) diff --git a/bin/gotocand.py b/bin/gotocand.py index 4b10edc44..f844566ed 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -1,12 +1,18 @@ #!/usr/bin/env python -import sys, os, glob, os.path, string, re +import sys +import os +import os.path +import glob +import string +import re +from subprocess import Popen, PIPE, STDOUT from presto.presto import fourierprops, get_rzw_cand short_re = re.compile("_\d\d\dM_\d\d_ACCEL_") def determine_dt(candfile): for line in open(candfile): - if line.startswith(" Width of each time series bin"): + if line.startswith(b" Width of each time series bin"): return float(line.split()[-1]) def short_stuff(candfile, candnum, shortinfo, nodename, datfile): @@ -55,39 +61,48 @@ def find_node(DM): return None def find_local_datfile(basename, DM): - i,o = os.popen4("find .. -name \*%s\*DM%s\*dat"%(basename, DM)) + p = Popen("find .. -name \*%s\*DM%s\*dat"%(basename, DM), shell=True, + bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, close_fds=True) + (i, o) = (p.stdin, p.stdout) datfile = '' for line in o: line = line.strip() - if line.startswith("find:"): + if line.startswith(b"find:"): line = line.join(line.split()[1:]) - if line.endswith(".dat"): - datfile = line + if line.endswith(b".dat"): + datfile = line.decode("utf-8") print("'%s'"%datfile) if datfile!='': return datfile def find_datfile(nodename, basename, DM): - i,o = os.popen4("ssh %s find -L /scratch -name \*%s\*DM%s\*dat"%\ - (nodename, basename, DM)) + p = Popen("ssh %s find -L /scratch -name \*%s\*DM%s\*dat"%(nodename, basename, DM), + shell=True, bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, close_fds=True) + (i, o) = (p.stdin, p.stdout) datfile = '' for line in o: line = line.strip() - if line.startswith("find:"): + if line.startswith(b"find:"): line = line.join(line.split()[1:]) - if line.endswith(".dat"): - datfile = line + if line.endswith(b".dat"): + datfile = line.decode("utf-8") print("'%s'"%datfile) - if datfile!='' and datfile.startswith("/scratch"): + if datfile!='' and datfile.startswith(b"/scratch"): return datfile return None def get_datfile_len(nodename, datfile): if nodename: - i,o = os.popen4("ssh %s ls -l %s | awk '{ print $5 };'"%(nodename, datfile)) + p = Popen("ssh %s ls -l %s | awk '{ print $5 };'"%(nodename, datfile), + shell=True, bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, + close_fds=True) + (i, o) = (p.stdin, p.stdout) else: - i,o = os.popen4("ls -l %s | awk '{ print $5 };'"%(datfile)) - filelen = o.readline() + p = Popen("ls -l %s | awk '{ print $5 };'"%(datfile), + shell=True, bufsize=-1, stdin=PIPE, stdout=PIPE, stderr=STDOUT, + close_fds=True) + (i, o) = (p.stdin, p.stdout) + filelen = o.readline().decode("utf-8") if filelen!='': return int(filelen)/4 return None From 26ea94a07681c2da33bbd939a531aba7d189b355 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 11:50:59 -0800 Subject: [PATCH 111/146] Added missing import --- bin/pygaussfit.py | 1 + 1 file changed, 1 insertion(+) diff --git a/bin/pygaussfit.py b/bin/pygaussfit.py index de7e08487..a4a372d92 100755 --- a/bin/pygaussfit.py +++ b/bin/pygaussfit.py @@ -2,6 +2,7 @@ from __future__ import print_function from builtins import range from builtins import object +import os import sys from presto.psr_utils import gaussian_profile, read_profile from matplotlib.patches import Rectangle From 5adb10e0529c08f3cc9f1652ff3defd50b0140e8 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 13:57:13 -0800 Subject: [PATCH 112/146] Fixed string and integer division issues --- python/presto/prepfold.py | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/python/presto/prepfold.py b/python/presto/prepfold.py index 0aed966e8..313085942 100644 --- a/python/presto/prepfold.py +++ b/python/presto/prepfold.py @@ -32,9 +32,8 @@ def __init__(self, filename): self.ndmfact, self.npfact) = struct.unpack(swapchar+"i"*7, infile.read(7*4)) self.filenm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) - print(self.proflen, self.ndmfact, self.npfact, self.nsub, self.filenm) self.candnm = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) - self.telescope = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) + self.telescope = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]).decode("utf-8") self.pgdev = infile.read(struct.unpack(swapchar+"i", infile.read(4))[0]) test = infile.read(16) if not test[:8]==b"Unknown" and b':' in test: @@ -129,7 +128,7 @@ def __init__(self, filename): except IOError: print("Warning! Can't open the .inf file for "+filename+"!") self.binspersec = self.fold_p1*self.proflen - self.chanpersub = self.numchan/self.nsub + self.chanpersub = self.numchan // self.nsub self.subdeltafreq = self.chan_wid*self.chanpersub self.hifreq = self.lofreq + (self.numchan-1)*self.chan_wid self.losubfreq = self.lofreq + self.subdeltafreq - self.chan_wid @@ -479,8 +478,8 @@ def combine_profs(self, new_npart, new_nsub): print("Doing nothing.") return None - dp = self.npart/new_npart - ds = self.nsub/new_nsub + dp = self.npart // new_npart + ds = self.nsub // new_nsub newprofs = Num.zeros((new_npart, new_nsub, self.proflen), 'd') for ii in range(new_npart): @@ -786,29 +785,29 @@ def dynamic_spectra(self, onbins, combineints=1, combinechans=1, if (combineints > 1): # First chop off any extra intervals if (self.npart % combineints): - self.DSnpart = (self.npart/combineints) * combineints + self.DSnpart = (self.npart // combineints) * combineints self.DS = self.DS[:self.DSnpart,:] # Now reshape and add the neighboring intervals - self.DS = Num.reshape(self.DS, (self.DSnpart/combineints, + self.DS = Num.reshape(self.DS, (self.DSnpart // combineints, combineints, self.DSnsub)) print(Num.shape(self.DS)) self.DS = Num.sum(self.DS, 1) self.DSstart_secs = self.DSstart_secs[::combineints] self.DSintdt *= combineints - self.DSnpart /= combineints + self.DSnpart //= combineints # Combine channels if required if (combinechans > 1): # First chop off any extra channels if (self.nsub % combinechans): - self.DSnsub = (self.nsub/combinechans) * combinechans + self.DSnsub = (self.nsub // combinechans) * combinechans self.DS = self.DS[:,:self.DSnsub] # Now reshape and add the neighboring intervals self.DS = Num.reshape(self.DS, (self.DSnpart, - self.DSnsub/combinechans, combinechans)) + self.DSnsub // combinechans, combinechans)) self.DS = Num.sum(self.DS, 2) self.DSsubfreqs = psr_utils.running_avg(self.subfreqs[:self.DSnsub], combinechans) self.DSsubdeltafreq *= combinechans - self.DSnsub /= combinechans + self.DSnsub //= combinechans print("DS shape = ", Num.shape(self.DS)) # Plot it if required if plot: From 48aa4aae3ab047aa45f97cba0b51d05386c648ec Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 13:57:39 -0800 Subject: [PATCH 113/146] Fixed label bug and improved TOA selection info --- bin/pyplotres.py | 40 +++++++++++++++++----------------------- 1 file changed, 17 insertions(+), 23 deletions(-) diff --git a/bin/pyplotres.py b/bin/pyplotres.py index 47ef71508..c9e2840c2 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -24,8 +24,6 @@ from presto import parfile as par from presto import residuals - - # Available x-axis types xvals = ['mjd', 'year', 'numtoa', 'orbitphase'] xind = 0 @@ -53,7 +51,7 @@ def find_freq_clusters(freqs): maxbins = 8 # related to the max colors defined... df = 4.0 # MHz if ((maxf - minf) < df): # Only a single freq to our resolution - return [[0.0, 'inf']] + return [[0.0, np.inf]] numbins = int((maxf - minf) / df) + 2 lobound = minf - 0.5 * df hibound = lobound + numbins * df @@ -68,17 +66,16 @@ def find_freq_clusters(freqs): # and use these as starting points for kmeans kmeans, indices = kmeans2(freqs, ctrs) if len(kmeans)==1: - return [[0.0, 'inf']] + return [[0.0, np.inf]] elif len(kmeans)==2: - return [[0.0, kmeans.mean()], [kmeans.mean(), 'inf']] + return [[0.0, kmeans.mean()], [kmeans.mean(), np.inf]] else: freqbands = [[0.0, kmeans[0:2].mean()]] for ii in range(len(kmeans)-2): freqbands.append([kmeans[ii:ii+2].mean(), kmeans[ii+1:ii+3].mean()]) - freqbands.append([kmeans[-2:].mean(), 'inf']) + freqbands.append([kmeans[-2:].mean(), np.inf]) return freqbands - class TempoResults(object): def __init__(self, freqbands): """Read TEMPO results (resid2.tmp, tempo.lis, timfile and parfiles) @@ -145,22 +142,16 @@ def get_info(self, freq_label, index, postfit=True): description.append("TOA Selected:") description.append("\tNumber: %s" % r.TOA_index[index][0]) description.append("\tEpoch (MJD): %s" % r.bary_TOA[index][0]) - if yvals[yind] == "phase": - description.append("\tPre-fit residual (phase): %s" % r.prefit_phs[index][0]) - description.append("\tPost-fit residual (phase): %s" % r.postfit_phs[index][0]) - if postfit: - description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.outpar.P0)) - else: - description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.inpar.P0)) - elif yvals[yind] == "usec": - description.append("\tPre-fit residual (usec): %s" % (r.prefit_sec[index][0]*1e6)) - description.append("\tPost-fit residual (usec): %s" % (r.postfit_sec[index][0]*1e6)) - description.append("\tUncertainty (usec): %s" % (r.uncertainty[index][0]*1e6)) - elif yvals[yind] == "sec": - description.append("\tPre-fit residual (sec): %s" % r.prefit_sec[index][0]) - description.append("\tPost-fit residual (sec): %s" % r.postfit_sec[index][0]) - description.append("\tUncertainty (sec): %s" % r.uncertainty[index][0]) description.append("\tFrequency (MHz): %s" % r.bary_freq[index][0]) + description.append("\tPre-fit residual (phase): %s" % r.prefit_phs[index][0]) + description.append("\tPre-fit residual (usec): %s" % (r.prefit_sec[index][0]*1e6)) + description.append("\tPost-fit residual (phase): %s" % r.postfit_phs[index][0]) + description.append("\tPost-fit residual (usec): %s" % (r.postfit_sec[index][0]*1e6)) + if postfit: + description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.outpar.P0)) + else: + description.append("\tUncertainty (phase): %s" % (r.uncertainty[index][0]/r.inpar.P0)) + description.append("\tUncertainty (usec): %s" % (r.uncertainty[index][0]*1e6)) return description @@ -392,7 +383,7 @@ def get_freq_label(lo, hi): """Return frequency label given a lo and hi frequency pair. """ - if hi is 'inf': + if hi==np.inf: return "%.0f - Inf MHz" % (lo) else: return "%.0f - %.0f MHz" % (lo, hi) @@ -404,12 +395,15 @@ def savefigure(savefn='./resid2.tmp.ps'): def reloadplot(): global options + global tempo_results # Reload residuals and replot print("Plotting...") fig = plt.gcf() fig.set_visible(False) plt.clf() # clear figure tempo_results = TempoResults(options.freqbands) + if options.freqbands is None: + options.freqbands = tempo_results.freqbands try: plot_data(tempo_results, options.xaxis, options.yaxis, \ postfit=options.postfit, prefit=options.prefit, \ From 6cabfb926da07f42a893727d111672986619deb8 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 14:04:21 -0800 Subject: [PATCH 114/146] Fixed integer division issue --- bin/quickffdots.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/bin/quickffdots.py b/bin/quickffdots.py index 26c20a1e4..ec1a0d4d3 100755 --- a/bin/quickffdots.py +++ b/bin/quickffdots.py @@ -84,7 +84,7 @@ argmax = ffd_pows.argmax() maxvals.append(ffd_pows.max()) - maxargs.append((argmax / numrs, argmax % numrs)) + maxargs.append((argmax // numrs, argmax % numrs)) print(" Maximum power for harmonic %d = %.2f"%(harmnum, maxvals[-1])) if (convals.max() < 1.5): # Using relative contours @@ -131,7 +131,7 @@ print("\nMax summed power = %.2f"%(sumpows.max())) argmax = sumpows.argmax() maxr = rs0[argmax % numrs] -maxz = zs0[argmax / numrs] +maxz = zs0[argmax // numrs] maxf = maxr/idata.T maxfd = maxz/(idata.T*idata.T) initf = (maxr - 0.5*maxz)/idata.T From 0de3988d46cc56cf7cbe9e7d80df61585043f3a4 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 14:09:03 -0800 Subject: [PATCH 115/146] Fixed integer division issue --- python/presto/rfifind.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/presto/rfifind.py b/python/presto/rfifind.py index 2fb1f35e4..52bec34f6 100644 --- a/python/presto/rfifind.py +++ b/python/presto/rfifind.py @@ -145,7 +145,7 @@ def determine_padvals(self, frac_to_keep=0.8): """ # NOTE: Casting to 64/32-bit floats are done to mimick 'mask.c'. num = int(np.round(self.nint*frac_to_keep)) - start = (self.nint - num)/2 + start = (self.nint - num) // 2 self.padvals = np.zeros(self.nchan, dtype='float32') for ichan in range(self.nchan): isort = np.argsort(self.avg_stats[:,ichan]) From bb3fc98999122a84ee334822fe7802c92beed652 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 14:18:00 -0800 Subject: [PATCH 116/146] Fixed legend call --- bin/subband_smearing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bin/subband_smearing.py b/bin/subband_smearing.py index fdcf65937..7cbbd48a8 100755 --- a/bin/subband_smearing.py +++ b/bin/subband_smearing.py @@ -124,7 +124,7 @@ def usage(): leg = ax.legend(('Sampling time', 'Downsampling', 'Channel smear', 'Subband smear', 'Original time res', 'Total time res'), - 'upper center') + loc='upper center') ax.set_xlabel('Disperson Measure') ax.set_ylabel('Smearing (ms)') ax.set_xlim([DMs.min(), DMs.max()]) From a361487a43617bb4b540782fa7b50bdbca7764d6 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 15:03:02 -0800 Subject: [PATCH 117/146] Try getting travis to build presto.so before installing python code --- .travis.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index ee2b0b4d1..eac20b6f7 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,6 +16,8 @@ before_install: install: - docker build . -t ${TARGET} -f .travis/${TARGET}.docker before_script: -- true +- export PRESTO=$PWD +- export LD_LIBRARY_PATH=$PRESTO:$LD_LIBRARY_PATH +- pushd src && make && popd script: - true From 6b0106dc51d6f36c4434a492864da92fc97f165c Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 9 Nov 2019 16:40:53 -0800 Subject: [PATCH 118/146] removed travis change which didn't work --- .travis.yml | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/.travis.yml b/.travis.yml index eac20b6f7..ee2b0b4d1 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,8 +16,6 @@ before_install: install: - docker build . -t ${TARGET} -f .travis/${TARGET}.docker before_script: -- export PRESTO=$PWD -- export LD_LIBRARY_PATH=$PRESTO:$LD_LIBRARY_PATH -- pushd src && make && popd +- true script: - true From 9c81945ee038868e8e96223f7252e47c758afcf1 Mon Sep 17 00:00:00 2001 From: Paul Ray Date: Sat, 16 Nov 2019 07:32:40 -0500 Subject: [PATCH 119/146] Moved ppdot_plane to bin and fixed imports --- {python => bin}/ppdot_plane_plot.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename {python => bin}/ppdot_plane_plot.py (98%) diff --git a/python/ppdot_plane_plot.py b/bin/ppdot_plane_plot.py similarity index 98% rename from python/ppdot_plane_plot.py rename to bin/ppdot_plane_plot.py index 235f799bc..34400c83a 100644 --- a/python/ppdot_plane_plot.py +++ b/bin/ppdot_plane_plot.py @@ -1,8 +1,8 @@ from __future__ import print_function from builtins import zip import numpy as np -import psr_utils as pu -import pypsrcat as cat +import presto.psr_utils as pu +import presto.pypsrcat as cat import matplotlib.pyplot as plt # Use color? From d72b33a7abdb08c31eff04dfa9f939d71e179634 Mon Sep 17 00:00:00 2001 From: Paul Ray Date: Sat, 16 Nov 2019 07:39:51 -0500 Subject: [PATCH 120/146] Fix permissions --- bin/ppdot_plane_plot.py | 1 + setup.py | 2 ++ 2 files changed, 3 insertions(+) mode change 100644 => 100755 bin/ppdot_plane_plot.py diff --git a/bin/ppdot_plane_plot.py b/bin/ppdot_plane_plot.py old mode 100644 new mode 100755 index 34400c83a..66dbcfc4b --- a/bin/ppdot_plane_plot.py +++ b/bin/ppdot_plane_plot.py @@ -1,3 +1,4 @@ +#!/usr/bin/env python from __future__ import print_function from builtins import zip import numpy as np diff --git a/setup.py b/setup.py index aeb7f8540..24bb4f166 100644 --- a/setup.py +++ b/setup.py @@ -13,6 +13,8 @@ undef_macros = [] extra_compile_args = ["-DUSEFFTW"] include_dirs = [numpy.get_include()] +# For MacOS with MacPorts use the following +include_dirs.append("/opt/local/include") # Note: you might need to add "gfortran" to the following list if # you see errors relating to missing "g" functions.... From 10d5cedfddc2258793f9d1a2d7fdf95dc3bedda1 Mon Sep 17 00:00:00 2001 From: Paul Ray Date: Sat, 16 Nov 2019 07:40:33 -0500 Subject: [PATCH 121/146] Undo accidental change --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 24bb4f166..2c896ebd8 100644 --- a/setup.py +++ b/setup.py @@ -14,7 +14,7 @@ extra_compile_args = ["-DUSEFFTW"] include_dirs = [numpy.get_include()] # For MacOS with MacPorts use the following -include_dirs.append("/opt/local/include") +# include_dirs.append("/opt/local/include") # Note: you might need to add "gfortran" to the following list if # you see errors relating to missing "g" functions.... From 8b9b8a8e050ff33c5fed6573204112b0c85cb9c9 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sat, 16 Nov 2019 14:42:56 -0500 Subject: [PATCH 122/146] Fixed and improved imports --- python/presto/Pgplot.py | 1 + python/presto/parfile.py | 38 ++++++++++ python/presto/psr_constants.py | 1 - python/presto/psr_utils.py | 126 +++++++++++++++------------------ 4 files changed, 98 insertions(+), 68 deletions(-) diff --git a/python/presto/Pgplot.py b/python/presto/Pgplot.py index 9becae374..e49a9b4c8 100644 --- a/python/presto/Pgplot.py +++ b/python/presto/Pgplot.py @@ -14,6 +14,7 @@ where this file was found: ftp://cfa-ftp.harvard.edu/pub/ransom """ from __future__ import print_function +from __future__ import absolute_import from builtins import range from builtins import object import sys diff --git a/python/presto/parfile.py b/python/presto/parfile.py index 7a309722c..ad80472ce 100644 --- a/python/presto/parfile.py +++ b/python/presto/parfile.py @@ -200,6 +200,44 @@ def __str__(self): out += "%10s = %-20.15g\n" % (k, v) return out + +def ELL1_check(par_file, output=False): + """ + ELL1_check(par_file): + Check the parfile to see if ELL1 can be safely used as the + binary model. To work properly, we should have: + asini/c * ecc**2 << timing precision / sqrt(# TOAs) + """ + psr = psr_par(par_file) + try: + lhs = psr.A1 * psr.E ** 2.0 * 1e6 + except: + if output: + print("Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?") + return + try: + rhs = psr.TRES / Num.sqrt(psr.NTOA) + except: + if output: + print("Can't compute TRES / sqrt(# TOAs), maybe this isn't a TEMPO output parfile?") + return + if output: + print("Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:") + print(" asini/c * ecc**2 = %8.3g us" % lhs) + print(" TRES / sqrt(# TOAs) = %8.3g us" % rhs) + if lhs * 50.0 < rhs: + if output: + print("Should be fine.") + return True + elif lhs * 5.0 < rhs: + if output: + print("Should be OK, but not optimal.") + return True + else: + if output: + print("Should probably use BT or DD instead.") + return False + if __name__ == '__main__': a = psr_par("2140-2310A.par") print(a) diff --git a/python/presto/psr_constants.py b/python/presto/psr_constants.py index b5e463ba9..7a0aedce8 100644 --- a/python/presto/psr_constants.py +++ b/python/presto/psr_constants.py @@ -21,6 +21,5 @@ Rsun = float('6.9551e8') # m Rearth = float('6.378e6') # m SOL = float('299792458.0') # m/s -MSUN = float('1.989e+30') # kg G = float('6.673e-11') # m^3/s^2/kg C = SOL diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 6d3c5761c..c6634add0 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import str from builtins import range import bisect @@ -7,12 +8,11 @@ from scipy.special import ndtr, ndtri, chdtrc, chdtri, fdtr, i0, kolmogorov from scipy.optimize import leastsq import scipy.optimize.zeros as zeros -from presto import Pgplot, ppgplot, sinc_interp, parfile -from presto.psr_constants import * +from presto import Pgplot, ppgplot, sinc_interp +import presto.psr_constants as pc isintorlong = lambda x: type(x) == type(0) or type(x) == type(0) - def span(Min, Max, Number): """ span(Min, Max, Number): @@ -266,7 +266,7 @@ def rad_to_dms(rad): sign = -1 else: sign = 1 - arc = RADTODEG * Num.fmod(Num.fabs(rad), PI) + arc = pc.RADTODEG * Num.fmod(Num.fabs(rad), pc.PI) d = int(arc) arc = (arc - d) * 60.0 m = int(arc) @@ -288,7 +288,7 @@ def dms_to_rad(deg, min, sec): sign = -1 else: sign = 1 - return sign * ARCSECTORAD * \ + return sign * pc.ARCSECTORAD * \ (60.0 * (60.0 * Num.fabs(deg) + Num.fabs(min)) + Num.fabs(sec)) @@ -298,7 +298,7 @@ def dms_to_deg(deg, min, sec): dms_to_deg(deg, min, sec): Convert degrees, minutes, and seconds of arc to degrees. """ - return RADTODEG * dms_to_rad(deg, min, sec) + return pc.RADTODEG * dms_to_rad(deg, min, sec) def rad_to_hms(rad): @@ -306,9 +306,9 @@ def rad_to_hms(rad): rad_to_hms(rad): Convert radians to hours, minutes, and seconds of arc. """ - rad = Num.fmod(rad, TWOPI) - if (rad < 0.0): rad = rad + TWOPI - arc = RADTOHRS * rad + rad = Num.fmod(rad, pc.TWOPI) + if (rad < 0.0): rad = rad + pc.TWOPI + arc = pc.RADTOHRS * rad h = int(arc) arc = (arc - h) * 60.0 m = int(arc) @@ -325,7 +325,7 @@ def hms_to_rad(hour, min, sec): sign = -1 else: sign = 1 - return sign * SECTORAD * \ + return sign * pc.SECTORAD * \ (60.0 * (60.0 * Num.fabs(hour) + Num.fabs(min)) + Num.fabs(sec)) @@ -335,7 +335,7 @@ def hms_to_hrs(hour, min, sec): hms_to_hrs(hour, min, sec): Convert hours, minutes, and seconds of arc to hours. """ - return RADTOHRS * hms_to_rad(hour, min, sec) + return pc.RADTOHRS * hms_to_rad(hour, min, sec) def coord_to_string(h_or_d, m, s): @@ -433,7 +433,7 @@ def mass_funct(pb, x): 'pb' is the binary period in days. 'x' is the projected semi-major axis in lt-sec. """ - pbs = pb * 86400.0 + pbs = pb * pc.SECPERDAY return 8015123.37129 * x ** 3.0 / (pbs * pbs) @@ -479,26 +479,16 @@ def TS99_WDmass(pb, pop="I+II"): a, b, c = vals[pop] return (pb/b)**(1.0/a) + c -def ELL1_check(par_file, output=False): +def ELL1_check(A1, E, TRES, NTOA, output=False): """ - ELL1_check(par_file): - Check the parfile to see if ELL1 can be safely used as the + ELL1_check(A1, E, TRES, NTOA, output=False): + Check if a binary pulsar to see if ELL1 can be safely used as the binary model. To work properly, we should have: asini/c * ecc**2 << timing precision / sqrt(# TOAs) + or A1 * E**2 << TRES / sqrt(NTOA) """ - psr = parfile.psr_par(par_file) - try: - lhs = psr.A1 * psr.E ** 2.0 * 1e6 - except: - if output: - print("Can't compute asini/c * ecc**2, maybe parfile doesn't have a binary?") - return - try: - rhs = psr.TRES / Num.sqrt(psr.NTOA) - except: - if output: - print("Can't compute TRES / sqrt(# TOAs), maybe this isn't a TEMPO output parfile?") - return + lhs = A1 * E ** 2.0 * 1e6 + rhs = TRES / Num.sqrt(NTOA) if output: print("Condition is asini/c * ecc**2 << timing precision / sqrt(# TOAs) to use ELL1:") print(" asini/c * ecc**2 = %8.3g us" % lhs) @@ -525,7 +515,7 @@ def accel_to_z(accel, T, reffreq, harm=1): of duration 'T' seconds and with acceleration (in m/s/s) 'accel'. You can specify the harmonic number in 'harm'. """ - return accel * harm * reffreq * T * T / SOL + return accel * harm * reffreq * T * T / pc.SOL def z_to_accel(z, T, reffreq, harm=1): @@ -537,7 +527,7 @@ def z_to_accel(z, T, reffreq, harm=1): of duration 'T'. You can specify the harmonic number in 'harm'. """ - return z * SOL / (harm * reffreq * T * T) + return z * pc.SOL / (harm * reffreq * T * T) def bins_to_accel(z, T, f=[1.0, 1000.0], device="/XWIN"): @@ -573,7 +563,7 @@ def pulsar_mass(pb, x, mc, inc): """ massfunct = mass_funct(pb, x) - def localmf(mp, mc=mc, mf=massfunct, i=inc * DEGTORAD): + def localmf(mp, mc=mc, mf=massfunct, i=inc * pc.DEGTORAD): return mass_funct2(mp, mc, i) - mf return zeros.bisect(localmf, 0.0, 1000.0) @@ -591,7 +581,7 @@ def companion_mass(pb, x, inc=60.0, mpsr=1.4): """ massfunct = mass_funct(pb, x) - def localmf(mc, mp=mpsr, mf=massfunct, i=inc * DEGTORAD): + def localmf(mc, mp=mpsr, mf=massfunct, i=inc * pc.DEGTORAD): return mass_funct2(mp, mc, i) - mf return zeros.bisect(localmf, 0.0, 1000.0) @@ -616,9 +606,9 @@ def OMDOT(porb, e, Mp, Mc): Return the predicted advance of periaston (deg/yr) given the orbital period (days), eccentricity, and pulsar and companion masses. """ - return 3.0 * (porb * 86400.0 / TWOPI) ** (-5.0 / 3.0) * \ - (Tsun * (Mp + Mc)) ** (2.0 / 3.0) / (1.0 - e ** 2.0) * \ - RADTODEG * SECPERJULYR + return 3.0 * (porb * pc.SECPERDAY / pc.TWOPI) ** (-5.0 / 3.0) * \ + (pc.Tsun * (Mp + Mc)) ** (2.0 / 3.0) / (1.0 - e ** 2.0) * \ + pc.RADTODEG * pc.SECPERJULYR def GAMMA(porb, e, Mp, Mc): @@ -627,8 +617,8 @@ def GAMMA(porb, e, Mp, Mc): Return the predicted value of relativistic gamma (sec) given the orbital period (days), eccentricity, and pulsar and companion masses. """ - return e * (porb * 86400.0 / TWOPI) ** (1.0 / 3.0) * Tsun ** (2.0 / 3.0) * \ - (Mp + Mc) ** (-4.0 / 3.0) * Mc * (Mp + 2.0 * Mc) + return e * (porb * pc.SECPERDAY / pc.TWOPI) ** (1.0 / 3.0) * \ + pc.Tsun ** (2.0 / 3.0) * (Mp + Mc) ** (-4.0 / 3.0) * Mc * (Mp + 2.0 * Mc) def PBDOT(porb, e, Mp, Mc): @@ -637,9 +627,9 @@ def PBDOT(porb, e, Mp, Mc): Return the predicted orbital period derivative (s/s) given the orbital period (s), eccentricity, and pulsar and companion masses. """ - return -192.0 * PI / 5.0 * (porb * 86400.0 / TWOPI) ** (-5.0 / 3.0) * \ + return -192.0 * pc.PI / 5.0 * (porb * pc.SECPERDAY / pc.TWOPI) ** (-5.0 / 3.0) * \ (1.0 + 73.0 / 24.0 * e ** 2.0 + 37.0 / 96.0 * e ** 4.0) * \ - (1.0 - e ** 2.0) ** (-7.0 / 2.0) * Tsun ** (5.0 / 3.0) * \ + (1.0 - e ** 2.0) ** (-7.0 / 2.0) * pc.Tsun ** (5.0 / 3.0) * \ Mp * Mc * (Mp + Mc) ** (-1.0 / 3.0) @@ -649,8 +639,9 @@ def OMDOT_to_Mtot(OMDOT, porb, e): Return the total mass (in solar units) of a system given an advance of periastron (OMDOT) in deg/yr. The orbital period should be in days. """ - wd = OMDOT / SECPERJULYR * DEGTORAD # rad/s - return (wd / 3.0 * (1.0 - e * e) * (porb * SECPERDAY / TWOPI) ** (5.0 / 3.0)) ** (3.0 / 2.0) / Tsun + wd = OMDOT / pc.SECPERJULYR * pc.DEGTORAD # rad/s + return (wd / 3.0 * (1.0 - e * e) * (porb * pc.SECPERDAY / \ + pc.TWOPI) ** (5.0 / 3.0)) ** (3.0 / 2.0) / pc.Tsun def GAMMA_to_Mc(gamma, porb, e, Mp): @@ -675,7 +666,8 @@ def shklovskii_effect(pm, D): and the distance (D) in kpc. Note: What is returned is a_pm/C, or equivalently, Pdot_pm/P. """ - return (pm / 1000.0 * ARCSECTORAD / SECPERJULYR) ** 2.0 * KMPERKPC * D / (C / 1000.0) + return (pm / 1000.0 * pc.ARCSECTORAD / pc.SECPERJULYR) ** 2.0 * \ + pc.KMPERKPC * D / (pc.C / 1000.0) def galactic_accel_simple(l, b, D, v_o=240.0, R_o=8.34): @@ -690,9 +682,9 @@ def galactic_accel_simple(l, b, D, v_o=240.0, R_o=8.34): and D is the distance in kpc. This is eqn 2.4 of Phinney 1992. The default v_o and R_o values are from Reid et al 2014. """ - A_sun = v_o * v_o / (C / 1000.0 * R_o * KMPERKPC) + A_sun = v_o * v_o / (pc.C / 1000.0 * R_o * pc.KMPERKPC) d = D / R_o - cbcl = Num.cos(b * DEGTORAD) * Num.cos(l * DEGTORAD) + cbcl = Num.cos(b * pc.DEGTORAD) * Num.cos(l * pc.DEGTORAD) return -A_sun * (cbcl + (d - cbcl) / (1.0 + d * d - 2.0 * d * cbcl)) @@ -707,10 +699,10 @@ def galactic_accel(l, b, D, v_o=240.0, R_o=8.34): and D is the distance in kpc. This is eqn 5 of Nice & Taylor 1995. The default v_o and R_o values are from Reid et al 2014. """ - A_sun = v_o * v_o / (C / 1000.0 * R_o * KMPERKPC) - cb = Num.cos(b * DEGTORAD) - cl = Num.cos(l * DEGTORAD) - sl = Num.sin(l * DEGTORAD) + A_sun = v_o * v_o / (pc.C / 1000.0 * R_o * pc.KMPERKPC) + cb = Num.cos(b * pc.DEGTORAD) + cl = Num.cos(l * pc.DEGTORAD) + sl = Num.sin(l * pc.DEGTORAD) beta = D / R_o * cb - cl return -A_sun * cb * (cl + beta / (sl ** 2 + beta ** 2)) @@ -725,7 +717,7 @@ def gal_z_accel(l, b, D): the galactic longitude and latitude (in deg) respectively, and D is the distance in kpc. This is eqn 3+4 of Nice & Taylor 1995. """ - sb = Num.sin(b * DEGTORAD) + sb = Num.sin(b * pc.DEGTORAD) z = D * sb az = 1.08e-19 * (1.25 * z / Num.sqrt(z ** 2 + 0.0324) + 0.58 * z) return az * sb @@ -738,7 +730,7 @@ def beam_halfwidth(obs_freq, dish_diam): 'obs_freq' = the observing frqeuency in MHz 'dish_diam' = the telescope diameter in m """ - return 1.2 * SOL / (obs_freq * 10.0 ** 6) / dish_diam * RADTODEG * 60 / 2 + return 1.2 * pc.SOL / (obs_freq * 10.0 ** 6) / dish_diam * pc.RADTODEG * 60 / 2 def limiting_flux_dens(Ttot, G, BW, T, P=0.01, W=0.05, polar=2, factor=15.0): @@ -1139,7 +1131,7 @@ def fft_rotate(arr, bins): """ arr = Num.asarray(arr) freqs = Num.arange(arr.size / 2 + 1, dtype=Num.float) - phasor = Num.exp(complex(0.0, TWOPI) * freqs * bins / float(arr.size)) + phasor = Num.exp(complex(0.0, pc.TWOPI) * freqs * bins / float(arr.size)) return Num.fft.irfft(phasor * Num.fft.rfft(arr), arr.size) @@ -1280,25 +1272,25 @@ def expcos_profile(N, phase, fwhm): from simple_roots import secant def fwhm_func(k, fwhm=fwhm): if (fwhm < 0.02): - return Num.arccos(1.0 - Num.log(2.0) / k) / PI - fwhm + return Num.arccos(1.0 - Num.log(2.0) / k) / pc.PI - fwhm else: return Num.arccos(Num.log(0.5 * (Num.exp(k) + - Num.exp(-k))) / k) / PI - fwhm + Num.exp(-k))) / k) / pc.PI - fwhm - phsval = TWOPI * Num.arange(N, dtype='d') / float(N) - phi = -phase * TWOPI + phsval = pc.TWOPI * Num.arange(N, dtype='d') / float(N) + phi = -phase * pc.TWOPI if (fwhm >= 0.5): return Num.cos(phsval + phi) + 1.0 elif (fwhm < 0.02): # The following is from expanding of iO(x) as x->Infinity. - k = Num.log(2.0) / (1.0 - Num.cos(PI * fwhm)) + k = Num.log(2.0) / (1.0 - Num.cos(pc.PI * fwhm)) # print("Expansion: k = %f FWHM = %f" % (k, fwhm_func(k, 0.0))) - phsval = Num.fmod(phsval + phi, TWOPI) - phsval = Num.where(Num.greater(phsval, PI), - phsval - TWOPI, phsval) + phsval = Num.fmod(phsval + phi, pc.TWOPI) + phsval = Num.where(Num.greater(phsval, pc.PI), + phsval - pc.TWOPI, phsval) denom = ((1 + 1 / (8 * k) + 9 / (128 * k * k) + 75 / (1024 * k ** 3) + - 3675 / (32768 * k ** 4) + 59535 / (262144 * k ** 5)) / Num.sqrt(TWOPI * k)) - return Num.where(Num.greater(Num.fabs(phsval / TWOPI), 3.0 * fwhm), 0.0, + 3675 / (32768 * k ** 4) + 59535 / (262144 * k ** 5)) / Num.sqrt(pc.TWOPI * k)) + return Num.where(Num.greater(Num.fabs(phsval / pc.TWOPI), 3.0 * fwhm), 0.0, Num.exp(k * (Num.cos(phsval) - 1.0)) / denom) else: k = secant(fwhm_func, 1e-8, 0.5) @@ -1582,7 +1574,7 @@ def coherent_sum(amps): """ phss = Num.arctan2(amps.imag, amps.real) phs0 = phss[0] - phscorr = phs0 - Num.fmod((Num.arange(len(amps), dtype='d') + 1.0) * phs0, TWOPI) + phscorr = phs0 - Num.fmod((Num.arange(len(amps), dtype='d') + 1.0) * phs0, pc.TWOPI) sumamps = Num.add.accumulate(amps * Num.exp(complex(0.0, 1.0) * phscorr)) return Num.absolute(sumamps) ** 2.0 @@ -1761,12 +1753,12 @@ def sigma_power(power): """ if type(1.0) == type(power): if power > 36.0: - return Num.sqrt(2.0 * power - Num.log(PI * power)) + return Num.sqrt(2.0 * power - Num.log(pc.PI * power)) else: return equivalent_gaussian_sigma(prob_power(power)) else: return Num.where(power > 36.0, - Num.sqrt(2.0 * power - Num.log(PI * power)), + Num.sqrt(2.0 * power - Num.log(pc.PI * power)), extended_equiv_gaussian_sigma(log_prob_sum_powers(power, 1))) @@ -1794,7 +1786,7 @@ def power_at_sigma(sigma): Return the approximate normalized power level that is equivalent to a detection of significance 'sigma'. """ - return sigma ** 2 / 2.0 + Num.log(Num.sqrt(PIBYTWO) + return sigma ** 2 / 2.0 + Num.log(Num.sqrt(pc.PIBYTWO) * sigma) @@ -1895,7 +1887,7 @@ def pdot_from_edot(p, edot, I=1.0e45): would experience given an Edot 'edot' (in ergs/s) and a moment of inertia I. """ - return (p ** 3.0 * edot) / (4.0 * PI * PI * I) + return (p ** 3.0 * edot) / (4.0 * pc.PI * pc.PI * I) def pulsar_age(f, fdot, n=3, fo=1e99): @@ -1916,7 +1908,7 @@ def pulsar_edot(f, fdot, I=1.0e45): frequency derivative. The NS moment of inertia is assumed to be I = 1.0e45 g cm^2 """ - return -4.0 * PI * PI * I * f * fdot + return -4.0 * pc.PI * pc.PI * I * f * fdot def pulsar_B(f, fdot): From 0e275ee983411e623484016ff43ce6100b1412c9 Mon Sep 17 00:00:00 2001 From: Paul Ray Date: Sun, 17 Nov 2019 12:41:13 -0500 Subject: [PATCH 123/146] Moved scripts to examplescripts directory --- {python => examplescripts}/ACCEL_sift.py | 0 {python => examplescripts}/concatdata.py | 0 {python => examplescripts}/dedisp.py | 0 {python => examplescripts}/ffdot_example.py | 12 +++++------- {python => examplescripts}/full_analysis.py | 0 {python => examplescripts}/jerk_example.py | 6 +++--- {python => examplescripts}/orbitstuff.py | 3 ++- {python => examplescripts}/pdm2raw.py | 0 {python => examplescripts}/short_analysis_simple.py | 0 {python => examplescripts}/show_zresp.py | 6 +++--- {python => examplescripts}/testcorr.py | 0 {python => examplescripts}/testz.mak | 0 12 files changed, 13 insertions(+), 14 deletions(-) rename {python => examplescripts}/ACCEL_sift.py (100%) rename {python => examplescripts}/concatdata.py (100%) rename {python => examplescripts}/dedisp.py (100%) rename {python => examplescripts}/ffdot_example.py (97%) rename {python => examplescripts}/full_analysis.py (100%) rename {python => examplescripts}/jerk_example.py (98%) rename {python => examplescripts}/orbitstuff.py (98%) rename {python => examplescripts}/pdm2raw.py (100%) rename {python => examplescripts}/short_analysis_simple.py (100%) rename {python => examplescripts}/show_zresp.py (86%) rename {python => examplescripts}/testcorr.py (100%) rename {python => examplescripts}/testz.mak (100%) diff --git a/python/ACCEL_sift.py b/examplescripts/ACCEL_sift.py similarity index 100% rename from python/ACCEL_sift.py rename to examplescripts/ACCEL_sift.py diff --git a/python/concatdata.py b/examplescripts/concatdata.py similarity index 100% rename from python/concatdata.py rename to examplescripts/concatdata.py diff --git a/python/dedisp.py b/examplescripts/dedisp.py similarity index 100% rename from python/dedisp.py rename to examplescripts/dedisp.py diff --git a/python/ffdot_example.py b/examplescripts/ffdot_example.py similarity index 97% rename from python/ffdot_example.py rename to examplescripts/ffdot_example.py index aa6380de5..97cb672e7 100644 --- a/python/ffdot_example.py +++ b/examplescripts/ffdot_example.py @@ -1,8 +1,8 @@ from __future__ import print_function import numpy as num -import presto -import ppgplot -from Pgplot import pgpalette +from presto import presto +import presto.ppgplot as ppgplot +from presto.Pgplot import pgpalette from numpy.random import standard_normal as norm import time @@ -96,9 +96,9 @@ ppgplot.pgscir(lo_col_ind, hi_col_ind) pgpalette.setpalette(image) ppgplot.pgctab(pgpalette.l, pgpalette.r, pgpalette.g, pgpalette.b) -ppgplot.pgimag_s(pffdot, 0.0, 0.0, rgx[0], rgy[0], rgx[1], rgy[1]) +ppgplot.pgimag_s(pffdot, 0.0, 0.0, rgx[0], rgy[0], rgx[1], rgy[1]) ppgplot.pgsci(1) -ppgplot.pgcont_s(pffdot, len(contours), contours, rgx[0], rgy[0], rgx[1], rgy[1]) +ppgplot.pgcont_s(pffdot, len(contours), contours, rgx[0], rgy[0], rgx[1], rgy[1]) ppgplot.pgbox("BCST", 0.0, 0, "BCST", 0.0, 0) ppgplot.pgsci(1) ppgplot.pgbox("N", 0.0, 0, "N", 0.0, 0) @@ -111,5 +111,3 @@ ppgplot.pgline(num.asarray([0.0, 0.0]), rgy) ppgplot.pgclos() - - diff --git a/python/full_analysis.py b/examplescripts/full_analysis.py similarity index 100% rename from python/full_analysis.py rename to examplescripts/full_analysis.py diff --git a/python/jerk_example.py b/examplescripts/jerk_example.py similarity index 98% rename from python/jerk_example.py rename to examplescripts/jerk_example.py index 9a1c23837..1de1724c2 100644 --- a/python/jerk_example.py +++ b/examplescripts/jerk_example.py @@ -1,9 +1,9 @@ from __future__ import print_function import numpy as num -import presto -import ppgplot +from presto import presto +import presto.ppgplot as ppgplot import time -from Pgplot import pgpalette +from presto.Pgplot import pgpalette N = 2**14 r = N/4.0 # average freq over "observation" diff --git a/python/orbitstuff.py b/examplescripts/orbitstuff.py similarity index 98% rename from python/orbitstuff.py rename to examplescripts/orbitstuff.py index 9ac06fcda..0554113e5 100644 --- a/python/orbitstuff.py +++ b/examplescripts/orbitstuff.py @@ -1,4 +1,5 @@ -import random, presto, math, Numeric +import random, math +from presto import presto def copyorb(old, new): """ diff --git a/python/pdm2raw.py b/examplescripts/pdm2raw.py similarity index 100% rename from python/pdm2raw.py rename to examplescripts/pdm2raw.py diff --git a/python/short_analysis_simple.py b/examplescripts/short_analysis_simple.py similarity index 100% rename from python/short_analysis_simple.py rename to examplescripts/short_analysis_simple.py diff --git a/python/show_zresp.py b/examplescripts/show_zresp.py similarity index 86% rename from python/show_zresp.py rename to examplescripts/show_zresp.py index 743ec78e2..84730fe34 100644 --- a/python/show_zresp.py +++ b/examplescripts/show_zresp.py @@ -1,8 +1,8 @@ from __future__ import print_function from builtins import range from numpy import * -from Pgplot import * -from presto import * +from presto.Pgplot import * +from presto.presto import * kern_half_width = 10 numbetween = 10 @@ -10,7 +10,7 @@ f = arange(numkern, dtype=float64) / numbetween - kern_half_width kern = gen_z_response(0.0, numbetween, numkern, 0.0) pkern = spectralpower(kern) -print("Freq ", f[len(f)/2], " = ", pkern[len(f)/2]) +print("Freq ", f[len(f)//2], " = ", pkern[len(f)//2]) plotxy(pkern, f, labx="Fourier Frequency Offset", \ laby="Normalized Power", device="z_responses.eps/CPS") #plotxy(pkern, f, labx="Fourier Frequency Offset", \ diff --git a/python/testcorr.py b/examplescripts/testcorr.py similarity index 100% rename from python/testcorr.py rename to examplescripts/testcorr.py diff --git a/python/testz.mak b/examplescripts/testz.mak similarity index 100% rename from python/testz.mak rename to examplescripts/testz.mak From 4ec8edf9a41cfa656c4e46f263e4768aa19facc4 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sun, 17 Nov 2019 13:19:32 -0500 Subject: [PATCH 124/146] Many py2/py3 compatability fixes found running full search script --- bin/DDplan.py | 1 + bin/gotocand.py | 2 +- bin/pyplotres.py | 10 ++++++---- python/ACCEL_sift.py | 1 + python/presto/binary_psr.py | 9 +++++---- python/presto/cosine_rand.py | 1 + python/presto/kuiper.py | 10 +++++----- python/presto/parfile.py | 20 +++++++++++--------- python/presto/polycos.py | 1 + python/presto/prepfold.py | 1 + python/presto/psr_utils.py | 10 +++++----- python/presto/rfifind.py | 1 + python/presto/sifting.py | 1 + python/presto/sinc_interp.py | 1 + 14 files changed, 41 insertions(+), 28 deletions(-) diff --git a/bin/DDplan.py b/bin/DDplan.py index 61aeb0b97..cc35cc801 100755 --- a/bin/DDplan.py +++ b/bin/DDplan.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from __future__ import absolute_import from builtins import zip from numpy import * from presto.Pgplot import * diff --git a/bin/gotocand.py b/bin/gotocand.py index f844566ed..e5bca3bd5 100755 --- a/bin/gotocand.py +++ b/bin/gotocand.py @@ -118,7 +118,7 @@ def get_datfile_len(nodename, datfile): sys.argv.pop(1) outdir = os.getcwd() if (len(sys.argv) > 2): - extraargs = string.join(sys.argv[2:]) + extraargs = "".join(sys.argv[2:]) else: extraargs = "" candfile, candnum = sys.argv[1].split(':') diff --git a/bin/pyplotres.py b/bin/pyplotres.py index c9e2840c2..c45b840e1 100755 --- a/bin/pyplotres.py +++ b/bin/pyplotres.py @@ -3,9 +3,11 @@ # A simple command line version of plotres written in python # using matplotlib and numpy # -# Patrick Lazarus, Feb 26th, 2009 - +# Patrick Lazarus, Feb 26th, 2009 +# Many other tweaks by S. Ransom, T. Pennucci et al over years +# from __future__ import print_function +from __future__ import absolute_import from builtins import input from builtins import str from builtins import range @@ -308,8 +310,8 @@ def plot_data(tempo_results, xkey, ykey, postfit=True, prefit=False, \ for ii,(lo,hi) in enumerate(tempo_results.freqbands): freq_label = get_freq_label(lo, hi) resids = tempo_results.residuals[freq_label] - xlabel, xdata = resids.get_xdata(xkey) - ylabel, ydata, yerr = resids.get_ydata(ykey, usepostfit) + xlabel, xdata = resids.get_xdata(str(xkey)) + ylabel, ydata, yerr = resids.get_ydata(str(ykey), usepostfit) if len(xdata): # Plot the residuals handle = plt.errorbar(xdata, ydata, yerr=yerr, fmt='.', \ diff --git a/python/ACCEL_sift.py b/python/ACCEL_sift.py index 5a78197ae..7c4e23ea2 100644 --- a/python/ACCEL_sift.py +++ b/python/ACCEL_sift.py @@ -1,3 +1,4 @@ +from __future__ import absolute_import from builtins import map import re import glob diff --git a/python/presto/binary_psr.py b/python/presto/binary_psr.py index 777ae3426..bd63e2b19 100644 --- a/python/presto/binary_psr.py +++ b/python/presto/binary_psr.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import object import numpy as Num from presto import parfile, psr_utils @@ -244,14 +245,14 @@ def shapiro_measurable(self, R, S, MJD): if __name__=='__main__': - from Pgplot import * + import presto.Pgplot as pg # The following reproduces the RV plot in Hulse & Taylor, 1975 psrA = binary_psr("B1913+16.par") T0 = 42320.933 # From Hulse & Taylor, 1975 times = psr_utils.span(0.0, psrA.par.PB, 1000) + T0 rv = psrA.radial_velocity(times) - plotxy(rv, (times-T0)*24, - labx="Hours since Periastron", laby="Radial Velocity (km.s)") - closeplot() + pg.plotxy(rv, (times-T0)*24, \ + labx="Hours since Periastron", laby="Radial Velocity (km.s)") + pg.closeplot() diff --git a/python/presto/cosine_rand.py b/python/presto/cosine_rand.py index c8d470ca9..38bb5c1aa 100644 --- a/python/presto/cosine_rand.py +++ b/python/presto/cosine_rand.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from future import standard_library standard_library.install_aliases() import numpy as Num diff --git a/python/presto/kuiper.py b/python/presto/kuiper.py index 259403840..70f3f0c23 100644 --- a/python/presto/kuiper.py +++ b/python/presto/kuiper.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import range import numpy as num from presto import Pgplot @@ -114,7 +115,6 @@ def kuiper_uniform_test(data, output=0): print("Kuiper:") (D, P) = kuiper_uniform_test(data, output=1) if (1): - from Pgplot import * p1s = [] p2s = [] p3s = [] @@ -124,7 +124,7 @@ def kuiper_uniform_test(data, output=0): p1s.append(kuiper_prob(D, N)) p2s.append(kuiper_prob2(D, N)) p3s.append(kuiper_prob3(D, N)) - plotxy(num.log10(num.asarray(p1s)), Ds, color='red') - plotxy(num.log10(num.asarray(p2s)), Ds, color='blue') - plotxy(num.log10(num.asarray(p3s)), Ds, color='green') - closeplot() + Pgplot.plotxy(num.log10(num.asarray(p1s)), Ds, color='red') + Pgplot.plotxy(num.log10(num.asarray(p2s)), Ds, color='blue') + Pgplot.plotxy(num.log10(num.asarray(p3s)), Ds, color='green') + Pgplot.closeplot() diff --git a/python/presto/parfile.py b/python/presto/parfile.py index ad80472ce..34fc8b2c1 100644 --- a/python/presto/parfile.py +++ b/python/presto/parfile.py @@ -1,8 +1,10 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import object import six import math, re from presto import psr_utils as pu +from presto import psr_constants as pc try: from slalib import sla_ecleq, sla_eqecl, sla_eqgal slalib = True @@ -114,8 +116,8 @@ def __init__(self, parfilenm): setattr(self, 'ELONG', self.LAMBDA) if (slalib and hasattr(self, 'ELAT') and hasattr(self, 'ELONG')): # TEMPO's ecliptic coords are always based on J2000 epoch - ra_rad, dec_rad = sla_ecleq(self.ELONG*pu.DEGTORAD, - self.ELAT*pu.DEGTORAD, J2000) + ra_rad, dec_rad = sla_ecleq(self.ELONG*pc.DEGTORAD, + self.ELAT*pc.DEGTORAD, J2000) rstr = pu.coord_to_string(*pu.rad_to_hms(ra_rad)) dstr = pu.coord_to_string(*pu.rad_to_dms(dec_rad)) setattr(self, 'RAJ', rstr) @@ -127,14 +129,14 @@ def __init__(self, parfilenm): # Compute the Galactic coords if (slalib and hasattr(self, 'RA_RAD') and hasattr(self, 'DEC_RAD')): l, b = sla_eqgal(self.RA_RAD, self.DEC_RAD) - setattr(self, 'GLONG', l*pu.RADTODEG) - setattr(self, 'GLAT', b*pu.RADTODEG) + setattr(self, 'GLONG', l*pc.RADTODEG) + setattr(self, 'GLAT', b*pc.RADTODEG) # Compute the Ecliptic coords if (slalib and hasattr(self, 'RA_RAD') and hasattr(self, 'DEC_RAD')): # TEMPO's ecliptic coords are always based on J2000 epoch elon, elat = sla_eqecl(self.RA_RAD, self.DEC_RAD, J2000) - setattr(self, 'ELONG', elon*pu.RADTODEG) - setattr(self, 'ELAT', elat*pu.RADTODEG) + setattr(self, 'ELONG', elon*pc.RADTODEG) + setattr(self, 'ELAT', elat*pc.RADTODEG) if hasattr(self, 'P'): setattr(self, 'P0', self.P) if hasattr(self, 'P0'): @@ -142,7 +144,7 @@ def __init__(self, parfilenm): if hasattr(self, 'F0'): setattr(self, 'P0', 1.0/self.F0) if hasattr(self, 'FB0'): - setattr(self, 'PB', (1.0/self.FB0)/86400.0) + setattr(self, 'PB', (1.0/self.FB0)/pc.SECPERDAY) if hasattr(self, 'P0_ERR'): if hasattr(self, 'P1_ERR'): f, ferr, fd, fderr = pu.pferrs(self.P0, self.P0_ERR, @@ -173,8 +175,8 @@ def __init__(self, parfilenm): ecc = math.sqrt(self.EPS1 * self.EPS1 + self.EPS2 * self.EPS2) omega = math.atan2(self.EPS1, self.EPS2) setattr(self, 'E', ecc) - setattr(self, 'OM', omega * pu.RADTODEG) - setattr(self, 'T0', self.TASC + self.PB * omega/pu.TWOPI) + setattr(self, 'OM', omega * pc.RADTODEG) + setattr(self, 'T0', self.TASC + self.PB * omega/pc.TWOPI) if hasattr(self, 'PB') and hasattr(self, 'A1') and not \ (hasattr(self, 'E') or hasattr(self, 'ECC')): setattr(self, 'E', 0.0) diff --git a/python/presto/polycos.py b/python/presto/polycos.py index f1c098199..ae32d0e21 100644 --- a/python/presto/polycos.py +++ b/python/presto/polycos.py @@ -1,3 +1,4 @@ +from __future__ import absolute_import from builtins import range from builtins import object import os diff --git a/python/presto/prepfold.py b/python/presto/prepfold.py index 313085942..70e8824b2 100644 --- a/python/presto/prepfold.py +++ b/python/presto/prepfold.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import range from builtins import object import numpy as Num diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index c6634add0..1900bbe89 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -1025,7 +1025,7 @@ def calc_phs(MJD, refMJD, *args): optional freq derivs (f1...) as ordered in the *args list (e.g. [f0, f1, f2, ...]). """ - t = (MJD - refMJD) * SECPERDAY + t = (MJD - refMJD) * pc.SECPERDAY n = len(args) # polynomial order nargs = Num.concatenate(([0.0], args)) taylor_coeffs = Num.concatenate(([0.0], @@ -1042,7 +1042,7 @@ def calc_freq(MJD, refMJD, *args): optional freq derivs (f1...) as ordered in the *args list (e.g. [f0, f1, f2, ...]). """ - t = (MJD - refMJD) * SECPERDAY + t = (MJD - refMJD) * pc.SECPERDAY n = len(args) # polynomial order taylor_coeffs = Num.concatenate(([1.0], Num.cumprod(1.0 / (Num.arange(float(n - 1)) + 1.0)))) @@ -1058,7 +1058,7 @@ def calc_t0(MJD, refMJD, *args): """ phs = calc_phs(MJD, refMJD, *args) p = 1.0 / calc_freq(MJD, refMJD, *args) - return MJD - phs * p / SECPERDAY + return MJD - phs * p / pc.SECPERDAY def write_princeton_toa(toa_MJDi, toa_MJDf, toaerr, freq, dm, obs='@', name=' ' * 13): @@ -1877,7 +1877,7 @@ def pdot_from_age(p, age): Return the pdot that a pulsar with spin period 'p' (in sec) would experience given a characteristic age 'age' (in yrs). """ - return p / (2.0 * age * SECPERJULYR) + return p / (2.0 * age * pc.SECPERJULYR) def pdot_from_edot(p, edot, I=1.0e45): @@ -1898,7 +1898,7 @@ def pulsar_age(f, fdot, n=3, fo=1e99): is returned (assuming a braking index 'n'=3 and an initial spin freqquency fo >> f). But 'n' and 'fo' can be set. """ - return -f / ((n - 1.0) * fdot) * (1.0 - (f / fo) ** (n - 1.0)) / SECPERJULYR + return -f / ((n - 1.0) * fdot) * (1.0 - (f / fo) ** (n - 1.0)) / pc.SECPERJULYR def pulsar_edot(f, fdot, I=1.0e45): diff --git a/python/presto/rfifind.py b/python/presto/rfifind.py index 52bec34f6..a21f6d1bd 100644 --- a/python/presto/rfifind.py +++ b/python/presto/rfifind.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import zip from builtins import range from builtins import object diff --git a/python/presto/sifting.py b/python/presto/sifting.py index 816c0dcc5..94abfc156 100644 --- a/python/presto/sifting.py +++ b/python/presto/sifting.py @@ -1,5 +1,6 @@ #!/usr/bin/env python from __future__ import print_function +from __future__ import absolute_import from builtins import zip, str, range, object from operator import attrgetter import sys, re, os, copy diff --git a/python/presto/sinc_interp.py b/python/presto/sinc_interp.py index 91ef6492d..58c97810e 100644 --- a/python/presto/sinc_interp.py +++ b/python/presto/sinc_interp.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import import numpy as Num import numpy.fft as FFT From 47065dcfd9bf831df48c14d0f99b202a02003b82 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sun, 17 Nov 2019 13:20:42 -0500 Subject: [PATCH 125/146] Added full processing test script and accessory files --- tests/1643-1224.par | 20 +++++++++ tests/Lband.birds | 4 ++ tests/dedisp.py | 78 +++++++++++++++++++++++++++++++++++ tests/process_example_data.sh | 52 +++++++++++++++++++++++ 4 files changed, 154 insertions(+) create mode 100644 tests/1643-1224.par create mode 100644 tests/Lband.birds create mode 100644 tests/dedisp.py create mode 100644 tests/process_example_data.sh diff --git a/tests/1643-1224.par b/tests/1643-1224.par new file mode 100644 index 000000000..eaee56d9c --- /dev/null +++ b/tests/1643-1224.par @@ -0,0 +1,20 @@ +PSRJ J1643-1224 +RAJ 16:43:38.15583 4.000e-05 +DECJ -12:24:58.720 4.000e-03 +DM 62.4121 2.000e-04 +PEPOCH 50288.0000 +F0 216.373340849179 1 5.000e-12 +F1 -8.657E-16 5.000e-19 +PMRA 3 1.000e+00 +PMDEC -8 5.000e+00 +POSEPOCH 50288.00 +BINARY ELL1 +PB 147.0173943 7.000e-07 +A1 25.072613 1.000e-06 +OM 321.808 1.100e-05 +TASC 50181.618211 1.000e-06 +EPS1 -3.1271E-04 9.000e-08 +EPS2 3.975E-04 1.000e-07 +START 49645.1250 +FINISH 50931.5800 +CLK UTC(NIST) diff --git a/tests/Lband.birds b/tests/Lband.birds new file mode 100644 index 000000000..e80388952 --- /dev/null +++ b/tests/Lband.birds @@ -0,0 +1,4 @@ +#Freq Width #harm grow? bary? +28.760 0.1 2 0 0 +60.0 0.05 2 1 0 + diff --git a/tests/dedisp.py b/tests/dedisp.py new file mode 100644 index 000000000..c1c7e8d37 --- /dev/null +++ b/tests/dedisp.py @@ -0,0 +1,78 @@ +import os + +# To use this script to help you dedisperse a bunch of time series, first +# run DDplan.py with appropriate values for your data to generate a +# dedispersion plan: +# +# sransom@foops:~$ DDplan.py -d 200 -t 0.000072 -s 32 -n 96 -b 48.0 -f 820.0 +# +# Minimum total smearing : 0.102 ms +# -------------------------------------------- +# Minimum channel smearing : 3.76e-05 ms +# Minimum smearing across BW : 0.00361 ms +# Minimum sample time : 0.072 ms +# +# Setting the new 'best' resolution to : 0.072 ms +# Best guess for optimal initial dDM is 0.199 +# +# Low DM High DM dDM DownSamp dsubDM #DMs DMs/call calls WorkFract +# 0.000 38.400 0.20 1 4.80 192 24 8 0.7273 +# 38.400 60.000 0.30 2 7.20 72 24 3 0.1364 +# 60.000 108.000 0.50 4 12.00 96 24 4 0.09091 +# 108.000 204.000 1.00 8 24.00 96 24 4 0.04545 +# +# +# Now with that plan, fill in the lists below and appropriate variables +# for your data and you can then generate the subbands and time series +# using "python dedisp.py" +# + + +def myexecute(cmd): + print("'%s'"%cmd) + os.system(cmd) + + +# dDM steps from DDplan.py +dDMs = [2.0, 3.0] +# dsubDM steps +dsubDMs = [48., 72.] +# downsample factors +downsamps = [4, 8] +# number of calls per set of subbands +subcalls = [7, 3] +# The low DM for each set of DMs +startDMs = [0.0, 336.0] +# DMs/call +dmspercall = 24 +# Number of subbands +nsub = 32 +# The basename of the output files you want to use +basename = "Lband" +# The name of the raw data file (or files if you use wildcards) to use +rawfiles = "GBT*.fil" +# The name of the maskfile to apply (if no mask, use None) +maskfile = basename+"_rfifind.mask" + +# Loop over the DDplan plans +for dDM, dsubDM, downsamp, subcall, startDM in \ + zip(dDMs, dsubDMs, downsamps, subcalls, startDMs): + # Get our downsampling right + subdownsamp = downsamp/2 + datdownsamp = 2 + if downsamp < 2: subdownsamp = datdownsamp = 1 + # Loop over the number of calls + for ii in range(subcall): + subDM = startDM + (ii+0.5)*dsubDM + # First create the subbands + if maskfile: + myexecute("prepsubband -mask %s -sub -subdm %.2f -nsub %d -downsamp %d -o %s %s" % + (maskfile, subDM, nsub, subdownsamp, basename, rawfiles)) + else: + myexecute("prepsubband -sub -subdm %.2f -nsub %d -downsamp %d -o %s %s" % + (subDM, nsub, subdownsamp, basename, rawfiles)) + # And now create the time series + loDM = startDM + ii*dsubDM + subnames = basename+"_DM%.2f.sub[0-9]*"%subDM + myexecute("prepsubband -lodm %.2f -dmstep %.2f -numdms %d -downsamp %d -o %s %s" % + (loDM, dDM, dmspercall, datdownsamp, basename, subnames)) diff --git a/tests/process_example_data.sh b/tests/process_example_data.sh new file mode 100644 index 000000000..aaeb8aed6 --- /dev/null +++ b/tests/process_example_data.sh @@ -0,0 +1,52 @@ +cd /dev/shm +mkdir test +cd test +touch process.stdout +wget http://www.cv.nrao.edu/~sransom/GBT_Lband_PSR.fil +# cp /home/sransom/data/PRESTO_tutorial/GBT_Lband_PSR.fil . +readfile GBT_Lband_PSR.fil +rfifind -time 1.0 -o Lband GBT_Lband_PSR.fil >> process.stdout +rfifind -nocompute -time 1.0 -freqsig 6.0 -mask Lband_rfifind.mask -o Lband GBT_Lband_PSR.fil >> process.stdout +rfifind_stats.py Lband_rfifind.mask +weights_to_ignorechan.py Lband_rfifind.weights +prepdata -nobary -o Lband_topo_DM0.00 -dm 0.0 -mask Lband_rfifind.mask GBT_Lband_PSR.fil +# exploredat Lband_topo_DM0.00.dat +realfft Lband_topo_DM0.00.dat +# explorefft Lband_topo_DM0.00.fft +accelsearch -numharm 4 -zmax 0 Lband_topo_DM0.00.dat +cat Lband_topo_DM0.00_ACCEL_0 +cp $PRESTO/tests/Lband.birds . +prepdata -o tmp GBT_Lband_PSR.fil | grep Average +DDplan.py -d 500.0 -n 96 -b 96 -t 0.000072 -f 1400.0 -s 32 -r 0.5 -o test_DDplan.ps +ls -l test_DDplan.ps +cp $PRESTO/tests/dedisp.py . +python dedisp.py >> process.stdout 2>&1 +mkdir subbands +mv *.sub* subbands/ +rm -f tmp.* *.tmp Lband*topo* +ls *.dat | xargs -n 1 realfft >> process.stdout +ls *dat | wc +ls *fft | wc +cp Lband_DM0.00.inf Lband.inf +makezaplist.py Lband.birds +ls -l *zaplist +ls *.fft | xargs -n 1 zapbirds -zap -zapfile Lband.zaplist -baryv -5.697334e-05 >> process.stdout +ls *.fft | xargs -n 1 accelsearch -zmax 0 -flo 15 >> process.stdout +cp $PRESTO/python/ACCEL_sift.py . +python ACCEL_sift.py +quick_prune_cands.py *DM62*0 +quickffdots.py Lband_DM62.00.fft 216.373 +gotocand.py -local Lband_DM62.00_ACCEL_0:1 -noxwin +prepfold -noxwin -accelcand 1 -accelfile Lband_DM62.00_ACCEL_0.cand -dm 62 subbands/Lband_DM72.00.sub?? +mv subbands/*.pfd* . +prepfold -noxwin -nosearch -n 64 -fine -nsub 96 -p 0.004621638 -dm 62.3 GBT_Lband_PSR.fil +prepfold -noxwin -nodmsearch -n 64 -fine -nsub 96 -p 0.004621 -o periodsearch -dm 62.3 GBT_Lband_PSR.fil +pfd_for_timing.py *pfd +single_pulse_search.py *dat >> process.stdout +ls -l Lband_singlepulse.ps +# pygaussfit.py GBT_Lband_PSR_4.62ms_Cand.pfd +# cat > test.gaussians +get_TOAs.py -2 -s 2 -n 16 -d 62.3 -g 0.04 GBT_Lband_PSR_4.62ms_Cand.pfd > xxx.tim +cp $PRESTO/tests/1643-1224.par . +tempo -f 1643-1224.par xxx.tim +# pyplotres.py From 961bc1affea79a70994bcad7e2fef8d63c237bf4 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sun, 17 Nov 2019 13:27:41 -0500 Subject: [PATCH 126/146] Fixed integer division and bad sinc implementation issues --- python/presto/sinc_interp.py | 35 +++++++++++++---------------------- 1 file changed, 13 insertions(+), 22 deletions(-) diff --git a/python/presto/sinc_interp.py b/python/presto/sinc_interp.py index 58c97810e..9eb22ee39 100644 --- a/python/presto/sinc_interp.py +++ b/python/presto/sinc_interp.py @@ -3,15 +3,6 @@ import numpy as Num import numpy.fft as FFT -def sinc(xs): - """ - sinc(xs): - Return the sinc function [i.e. sin(pi * xs)/(pi * xs)] - for the values xs. - """ - pxs = Num.pi*xs - return Num.where(Num.fabs(pxs)<1e-3, 1.0-pxs*pxs/6.0, Num.sin(pxs)/pxs) - def kaiser_window(xs, halfwidth, alpha): """ kaiser_window(xs, halfwidth, alpha): @@ -94,14 +85,14 @@ def windowed_sinc_interp(data, newx, halfwidth=None, if hi_pt >= len(data): hi_pt = len(data)-1 print("Warning: trying to access above the highest index!") - halfwidth = (hi_pt-lo_pt)/2 + halfwidth = (hi_pt-lo_pt)//2 pts = Num.arange(2*halfwidth)+lo_pt xs = newx - pts if window.lower() is "kaiser": - win = _window_function[window](xs, len(data)/2, alpha) + win = _window_function[window](xs, len(data)//2, alpha) else: - win = _window_function[window](xs, len(data)/2) - return Num.add.reduce(Num.take(data, pts) * win * sinc(xs)) + win = _window_function[window](xs, len(data)//2) + return Num.add.reduce(Num.take(data, pts) * win * Num.sinc(xs)) def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): """ @@ -122,16 +113,16 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): comb = Num.reshape(Num.transpose(comb), (newN,)) # Compute the offsets xs = Num.zeros(newN, dtype='d') - xs[:newN/2+1] = Num.arange(newN/2+1, dtype='d')/zoomfact - xs[-newN/2:] = xs[::-1][newN/2-1:-1] + xs[:newN//2+1] = Num.arange(newN//2+1, dtype='d')/zoomfact + xs[-newN//2:] = xs[::-1][newN//2-1:-1] # Calculate the sinc times window for the kernel if window.lower()=="kaiser": - win = _window_function[window](xs, len(data)/2, alpha) + win = _window_function[window](xs, len(data)//2, alpha) else: - win = _window_function[window](xs, len(data)/2) - kernel = win * sinc(xs) + win = _window_function[window](xs, len(data)//2) + kernel = win * Num.sinc(xs) if (0): - plotxy(sinc(xs), color='yellow') + plotxy(Num.sinc(xs), color='yellow') plotxy(win) plotxy(kernel, color='red') closeplot() @@ -155,8 +146,8 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): # The "sampled" data Ndata = 100 - data = theo[::Ntheo/Ndata] - data_phases = theo_phases[::Ntheo/Ndata] + data = theo[::Ntheo//Ndata] + data_phases = theo_phases[::Ntheo//Ndata] # The values to interpolate Ncalc = 30 @@ -167,7 +158,7 @@ def periodic_interp(data, zoomfact, window='hanning', alpha=6.0): plotxy(data, data_phases, line=None, symbol=3, color='green') # Do the interpolation one point at a time - halfwidth = Ndata/2-5 + halfwidth = Ndata//2-5 calc_vals = [] for phs in calc_phases: calc_vals.append(windowed_sinc_interp(data, phs*len(data), halfwidth)) From cd8a84714ab2c06adb9c013c21f389137912f55f Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sun, 17 Nov 2019 13:33:22 -0500 Subject: [PATCH 127/146] Updated call to Numpy histgram() --- python/presto/psr_utils.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 1900bbe89..8714f3066 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -116,8 +116,9 @@ def hist(data, bins, range=None, laby="Number", **kwargs): data values are used to define the interval. Note: This command also accepts all the keyword arge of plotbinned(). """ - (ys, lox, dx, out) = Num.histogram(data, bins, range) - xs = Num.arange(bins, dtype='d') * dx + lox + 0.5 * dx + ys, bin_edges = Num.histogram(data, bins, range) + dx = bin_edges[1] - bin_edges[0] + xs = bin_edges[:-1] + 0.5 * dx maxy = int(1.1 * max(ys)) if maxy < max(ys): maxy = max(ys) + 1.0 From 4597a9bb168d6157aaed1d2888c92fd270bc217d Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Sun, 17 Nov 2019 13:38:32 -0500 Subject: [PATCH 128/146] integer division fix --- python/presto/psr_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/presto/psr_utils.py b/python/presto/psr_utils.py index 8714f3066..73bfa3e2d 100644 --- a/python/presto/psr_utils.py +++ b/python/presto/psr_utils.py @@ -99,7 +99,7 @@ def running_avg(arr, navg): input array 'arr'. """ a = Num.asarray(arr, 'd') - a.shape = (len(a) / navg, navg) + a.shape = (len(a) // navg, navg) return Num.add.reduce(Num.transpose(a)) / navg From 7c09fb47a7978be6273e758caf958620cb46e4df Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Mon, 18 Nov 2019 15:34:16 -0500 Subject: [PATCH 129/146] Removed or moved some unneeded files --- examplescripts/orbitstuff.py | 90 -------------------- {bin => examplescripts}/ppdot_plane_plot.py | 0 python/f-fdot_example.ps.gz | Bin 15887 -> 0 bytes python/misc/cbitopt.txt | 84 ------------------ python/misc/pychecks.py | 39 --------- python/setup_ppgplot.py | 57 ------------- src/.geomview | 2 - 7 files changed, 272 deletions(-) delete mode 100644 examplescripts/orbitstuff.py rename {bin => examplescripts}/ppdot_plane_plot.py (100%) mode change 100755 => 100644 delete mode 100644 python/f-fdot_example.ps.gz delete mode 100644 python/misc/cbitopt.txt delete mode 100644 python/misc/pychecks.py delete mode 100644 python/setup_ppgplot.py delete mode 100644 src/.geomview diff --git a/examplescripts/orbitstuff.py b/examplescripts/orbitstuff.py deleted file mode 100644 index 0554113e5..000000000 --- a/examplescripts/orbitstuff.py +++ /dev/null @@ -1,90 +0,0 @@ -import random, math -from presto import presto - -def copyorb(old, new): - """ - copyorb(old, new): - Copy an orbitparams variable from 'old' to 'new'. - """ - new.p = old.p - new.e = old.e - new.x = old.x - new.w = old.w - new.t = old.t - new.wd = old.wd - new.pd = old.pd - return new - -def fake_mspsr(companion='None', psrp=None, orbp=None, - orbx=None, orbe=None, orbw=None, orbt=None): - """ - fake_mspsr(companion='None'): - Generate random pulsar parameters. - Returns a psrparams structure. - - Keyword Arguments: - companion -- the companion type ('WD', 'NS', 'BH', default = None) - Note: All of the following default to random values. - psrp -- pulsar period in sec. - orbp -- orbital period in sec. - orbx -- projected orbital semi-major axis in lt-sec. - orbe -- orbital eccentricity. - orbw -- argument of periapsis in degrees. - orbt -- time since last periapsis passage in sec. - """ - global mpsr, mc, mwd, mns, mbh - psr = presto.psrparams() - psr.jname = 'Fake PSR' - psr.bname = 'Fake PSR' - psr.ntype = 0; psr.ra2000 = 0.0; psr.dec2000 = 0.0 - psr.dm = 0.0; psr.dist = 0.0 - psr.pd = 0.0; psr.pdd = 0.0 - psr.fd = 0.0; psr.fdd = 0.0 - if not psrp: psr.p = random.uniform(0.002, 0.07) - else: psr.p = psrp - if psr.p < 0.03: psr.ntype = psr.ntype | 16 - psr.f = 1.0 / psr.p - psr.fwhm = random.uniform(0.05, 0.5) * psr.p * 1000.0 - psr.timepoch = 0.0 - if companion=='WD': - mwd = random.gauss(0.25, 0.10) - mc = mwd; - if not orbe: psr.orb.e = random.expovariate(80.0) - else: psr.orb.e = orbe - ctype = 'WD' - psr.ntype = psr.ntype | 8 - elif companion=='NS': - mns = random.gauss(1.35, 0.04) - mc = mns; - if not orbe: psr.orb.e = abs(random.uniform(0.1, 0.8)) - else: psr.orb.e = orbe - ctype = 'NS' - psr.ntype = psr.ntype | 8 - elif companion=='BH': - mbh = random.gauss(6.0, 1.0) - mc = mbh; - if not orbe: psr.orb.e = abs(random.uniform(0.1, 0.8)) - else: psr.orb.e = orbe - ctype = 'BH' - psr.ntype = psr.ntype | 8 - else: - psr.orb.p = 0.0; psr.orb.x = 0.0; psr.orb.e = 0.0; - psr.orb.w = 0.0; psr.orb.t = 0.0; psr.orb.pd = 0.0; - psr.orb.wd = 0.0; - mc = 0.0; ctype = 'None' - if ctype!='None': - # The following is from Thorsett and Chakrabarty, 1988. - mpsr = random.gauss(1.35, 0.04) - inc = math.acos(random.uniform(0.0, 1.0)) - mf = (mc * math.sin(inc))**3 / (mc + mpsr)**2 - if not orbp: psr.orb.p = random.uniform(20.0, 600.0) * 60.0 - else: psr.orb.p = orbp - if not orbx: psr.orb.x = (mf * psr.orb.p**2 - * 1.24764143192e-07)**(1.0 / 3.0) - else: psr.orb.x = orbx - if not orbw: psr.orb.w = random.uniform(0.0, 360.0) - else: psr.orb.w = orbw - if not orbt: psr.orb.t = random.uniform(0.0, psr.orb.p) - else: psr.orb.t = orbt - return psr - diff --git a/bin/ppdot_plane_plot.py b/examplescripts/ppdot_plane_plot.py old mode 100755 new mode 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zGiMr`ARppH7)*=Mn1uk`w|Qn6V--Wz&VgxqZsSBeapIaV2HZ!wCC+O-k1lJ2r%_$b zhc{hef$D~+{_#=3lo@zkhuD{^Psbr~mjlOt8V&_05@v&Ncp)eDltYKm2h2 l^y}}xJ%0RpeERtH%g+s$?Z1VK4}Utk{|EUYjkObN0RV=Hv?>4q diff --git a/python/misc/cbitopt.txt b/python/misc/cbitopt.txt deleted file mode 100644 index d84ce0aa8..000000000 --- a/python/misc/cbitopt.txt +++ /dev/null @@ -1,84 +0,0 @@ -From - Wed Sep 30 04:37:36 1998 -Return-Path: -Received: from arana.aoc.nrao.edu (arana.aoc.nrao.edu [146.88.1.7]) - by mars.harvard.edu (8.8.8+Sun/8.8.8) with SMTP id AAA15210 - for ; Mon, 28 Sep 1998 00:01:45 -0400 (EDT) -Received: from helios.aoc.nrao.edu (helios.aoc.nrao.edu [146.88.7.4]) by arana.aoc.nrao.edu (8.6.12/8.6.10) with ESMTP id WAA20113 for ; Sun, 27 Sep 1998 22:01:46 -0600 -Received: (from jherrnst@localhost) by helios.aoc.nrao.edu (8.7.3/8.6.10) id WAA24917 for ransom@mars.harvard.edu; Sun, 27 Sep 1998 22:01:44 -0600 (MDT) -Date: Sun, 27 Sep 1998 22:01:44 -0600 (MDT) -From: Jim Herrnstein -Message-Id: <199809280401.WAA24917@helios.aoc.nrao.edu> -To: ransom@mars.harvard.edu -Content-Length: 2858 -Status: RO -X-Mozilla-Status: 8001 - -#!../../bin/python -f = open('bitops.c', 'w') -f.write('#include \n') -f.write('#include \n') -f.write('#include \n') -f.write('#include \n') -f.write('#include \n') -f.write('#ifndef CLK_TCK\n') -f.write('#define CLK_TCK (CLOCKS_PER_SEC * 0.0001)\n') -f.write('#endif\n') -f.write('\n') -f.write('#define NUMTIMES 500000\n') -f.write('\n') -f.write('int main(int argc, char *argv[]){\n') -f.write('\n') -f.write(' int ct;\n') -f.write(' unsigned char rec[32], zz[32] = "12345678901234567890123456789012";\n') -f.write(' float data1[256], data2[256];\n') -f.write(' struct tms runtimes;\n') -f.write(' double ttim, utim, stim, tott;\n') -f.write('\n') -f.write(' tott = times(&runtimes) / (double) CLK_TCK;\n') -f.write(' utim = runtimes.tms_utime / (double) CLK_TCK;\n') -f.write(' stim = runtimes.tms_stime / (double) CLK_TCK;\n') -f.write('\n') -f.write(' for (ct=0;ct>=1;\n' % i) -f.write(' }\n') -f.write('\n') -f.write(' tott = times(&runtimes) / (double) CLK_TCK - tott;\n') -f.write(' printf("Timing summary (Method 1):\\n");\n') -f.write(' utim = runtimes.tms_utime / (double) CLK_TCK - utim;\n') -f.write(' stim = runtimes.tms_stime / (double) CLK_TCK - stim;\n') -f.write(' ttim = utim + stim;\n') -f.write(' printf("CPU usage: %f sec total (%f sec user, %f sec system)\\n", ttim, utim, stim);\n') -f.write(' printf("Total time elapsed: %f sec.\\n\\n", tott);\n') -f.write('\n') -f.write(' tott = times(&runtimes) / (double) CLK_TCK;\n') -f.write(' utim = runtimes.tms_utime / (double) CLK_TCK;\n') -f.write(' stim = runtimes.tms_stime / (double) CLK_TCK;\n') -f.write('\n') -f.write(' for (ct=0;ct Date: Mon, 18 Nov 2019 15:34:52 -0500 Subject: [PATCH 130/146] Fixed imports and constants --- python/presto/pypsrcat.py | 31 ++++++++++++++++++------------- 1 file changed, 18 insertions(+), 13 deletions(-) diff --git a/python/presto/pypsrcat.py b/python/presto/pypsrcat.py index e6ff46e17..90f8ff5fb 100644 --- a/python/presto/pypsrcat.py +++ b/python/presto/pypsrcat.py @@ -1,4 +1,5 @@ from __future__ import print_function +from __future__ import absolute_import from builtins import object from operator import attrgetter import struct @@ -7,12 +8,16 @@ import csv import astropy.coordinates as c import astropy.units as u -from presto import presto, psr_utils +from presto import presto +import presto.psr_utils as pu +import presto.psr_constants as pc ## The most recent catalogs are available here: ## ## http://www.atnf.csiro.au/research/pulsar/psrcat/ +version = 'v1.59' + ## And here is the command used to get the data: # Note version number now! # http://www.atnf.csiro.au/people/pulsar/psrcat/proc_form.php?version=1.59&Name=Name&JName=JName&RaJ=RaJ&DecJ=DecJ&PMRA=PMRA&PMDec=PMDec&PX=PX&PosEpoch=PosEpoch&GL=GL&GB=GB&F0=F0&F1=F1&F2=F2&F3=F3&PEpoch=PEpoch&DM=DM&DM1=DM1&S400=S400&S1400=S1400&Binary=Binary&T0=T0&PB=PB&A1=A1&OM=OM&Ecc=Ecc&Tasc=Tasc&Eps1=Eps1&Eps2=Eps2&Dist=Dist&Assoc=Assoc&Survey=Survey&Type=Type&startUserDefined=true&c1_val=&c2_val=&c3_val=&c4_val=&sort_attr=jname&sort_order=asc&condition=&pulsar_names=&ephemeris=short&coords_unit=raj%2Fdecj&radius=&coords_1=&coords_2=&style=Long+csv+with+errors&no_value=*&x_axis=&x_scale=linear&y_axis=&y_scale=linear&state=query&table_bottom.x=40&table_bottom.y=0 @@ -47,12 +52,12 @@ def __init__(self, parts, indices): if not parts[part_index]=='*': self.rajstr = parts[part_index] self.ra = posn.ra.to(u.rad).value - self.raerr = float(parts[part_index+1]) * psr_utils.SECTORAD + self.raerr = float(parts[part_index+1]) * pc.SECTORAD elif param=="DECJ": if not parts[part_index]=='*': self.decjstr = parts[part_index] self.dec = posn.dec.to(u.rad).value - self.decerr = float(parts[part_index+1]) * psr_utils.ARCSECTORAD + self.decerr = float(parts[part_index+1]) * pc.ARCSECTORAD elif param=="PMRA": if not parts[part_index]=='*': self.pmra, self.pmraerr = float(parts[part_index]), float(parts[part_index+1]) @@ -74,7 +79,7 @@ def __init__(self, parts, indices): elif param=="F0": if not parts[part_index]=='*': self.f, self.ferr = float(parts[part_index]), float(parts[part_index+1]) - self.p, self.perr = psr_utils.pferrs(self.f, self.ferr) + self.p, self.perr = pu.pferrs(self.f, self.ferr) else: self.f = self.ferr = self.p = self.perr = 0.0 self.fd = self.fdd = self.fddd = 0.0 @@ -84,7 +89,7 @@ def __init__(self, parts, indices): elif param=="F1": if not parts[part_index]=='*': self.fd, self.fderr = float(parts[part_index]), float(parts[part_index+1]) - self.p, self.perr, self.pd, self.pderr = psr_utils.pferrs(self.f, self.ferr, self.fd, self.fderr) + self.p, self.perr, self.pd, self.pderr = pu.pferrs(self.f, self.ferr, self.fd, self.fderr) elif param=="F2": if not parts[part_index]=='*': self.fdd, self.fdderr = float(parts[part_index]), float(parts[part_index+1]) @@ -150,7 +155,7 @@ def __init__(self, parts, indices): if not hasattr(self, 'eps1'): self.eps1 = 0.0 self.e = math.sqrt(self.eps1*self.eps1 + self.eps2*self.eps2) self.eerr = 0.0001 # This needs fixing... - self.w = psr_utils.RADTODEG*math.atan2(self.eps1, self.eps2) + self.w = pc.RADTODEG*math.atan2(self.eps1, self.eps2) if (self.w < 0.0): self.w += 360.0 self.werr = 1.0 # This needs fixing... elif param=="DIST": @@ -190,14 +195,14 @@ def __str__(self): out = out + " (Discoverer first)\n" if (self.type is not None): out = out + " Type = %s\n" % self.type - (h, m, s) = psr_utils.rad_to_hms(self.ra) - serr = psr_utils.RADTOSEC * self.raerr + (h, m, s) = pu.rad_to_hms(self.ra) + serr = pc.RADTOSEC * self.raerr out = out + " RA (J2000) = %s +/- %.4fs\n" % \ - (psr_utils.coord_to_string(h, m, s), serr) - (d, m, s) = psr_utils.rad_to_dms(self.dec) - serr = psr_utils.RADTOARCSEC * self.decerr + (pu.coord_to_string(h, m, s), serr) + (d, m, s) = pu.rad_to_dms(self.dec) + serr = pc.RADTOARCSEC * self.decerr out = out + " DEC (J2000) = %s +/- %.4f\"\n" % \ - (psr_utils.coord_to_string(d, m, s), serr) + (pu.coord_to_string(d, m, s), serr) out = out + " (l, b) = (%.2f, %.2f)\n" % \ (self.l, self.b) out = out + " DM (cm-3 pc) = %.8g +/- %.5g\n" % \ @@ -321,7 +326,7 @@ def pack_structs(self): psr.jname=="1614-2318" psr.f = 29.8475387364133766 psr.fd = -4.683105034721e-17 - psr.p, psr.pd = psr_utils.p_to_f(psr.f, psr.fd) + psr.p, psr.pd = pu.p_to_f(psr.f, psr.fd) psr.x = 1.327490 psr.e = 0.0 psr.To = 52819.878171 From 05a92675d3ce57dce4b469b521abfbb83f8d2551 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Mon, 18 Nov 2019 15:36:00 -0500 Subject: [PATCH 131/146] Fixed output filename. Text alignment different between matplotlib versions. :-( --- examplescripts/ppdot_plane_plot.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/examplescripts/ppdot_plane_plot.py b/examplescripts/ppdot_plane_plot.py index 66dbcfc4b..5f34279fd 100644 --- a/examplescripts/ppdot_plane_plot.py +++ b/examplescripts/ppdot_plane_plot.py @@ -93,11 +93,12 @@ x = pu.pdot_from_B(y, 10.0**logB) elif logB==8: x = 0.05 - y = 1.1 * pu.pdot_from_B(x, 10.0**logB) + y = pu.pdot_from_B(x, 10.0**logB) else: x = 1.1 * plims[0] - y = 1.1 * pu.pdot_from_B(x, 10.0**logB) + y = pu.pdot_from_B(x, 10.0**logB) plt.text(x, y, "$10^{%d}$ G"%logB, color=greytext, + horizontalalignment='left', verticalalignment='baseline', rotation=np.degrees(np.arctan(-1.0 * dpdpd))) # Plot Edot lines @@ -111,6 +112,7 @@ y = 1e-21 x = 0.6 * (y * 4e45 * np.pi * np.pi / 10.0**logEdot)**(1.0/3.0) plt.text(x, y, "$10^{%d}$ erg/s"%logEdot, color=greytext, + horizontalalignment='left', verticalalignment='baseline', rotation=np.degrees(np.arctan(3.0 * dpdpd))) # Plot Age lines @@ -158,5 +160,6 @@ ax.legend(loc='lower right', numpoints=1) -plt.savefig("ppdot_color_2018.png" if usecolor else "ppdot_2018.png") +plt.savefig("ppdot_color_%s.png"%cat.version if usecolor \ + else "ppdot_%s.png"%cat.version) #plt.show() From fd7ee9c4804814416981d13a2be3fb8bec9936e2 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 14:19:02 -0500 Subject: [PATCH 132/146] Fixed candidate sorting for Py3 --- bin/GBNCC_search.py | 23 ++++++++++++++--------- 1 file changed, 14 insertions(+), 9 deletions(-) diff --git a/bin/GBNCC_search.py b/bin/GBNCC_search.py index c2c3a7d13..402308d8c 100755 --- a/bin/GBNCC_search.py +++ b/bin/GBNCC_search.py @@ -4,6 +4,7 @@ from builtins import str from builtins import range from builtins import object +from operator import attrgetter import glob, os, os.path, shutil, socket, tarfile, stat import numpy, sys, time from presto import presto @@ -231,20 +232,24 @@ def remove_crosslist_duplicate_candidates(candlist1,candlist2): n2 = len(candlist2) removelist1 = [] removelist2 = [] - candlist2.sort(sifting.cmp_freq) - candlist1.sort(sifting.cmp_freq) + candlist2.sort(key=attrgetter('r')) + candlist1.sort(key=attrgetter('r')) print(" Searching for crosslist dupes...") ii = 0 while ii < n1: jj=0 while jj < n2: if numpy.fabs(candlist1[ii].r-candlist2[jj].r) < sifting.r_err: - if sifting.cmp_sigma(candlist1[ii],candlist2[jj])<0: - print("Crosslist remove from candlist 2, %f > %f, %d:%f~%f" % (candlist1[ii].sigma,candlist2[jj].sigma,jj,candlist1[ii].r,candlist2[jj].r)) + if candlist1[ii].sigma > candlist2[jj].sigma: + print("Crosslist remove from candlist 2, %f > %f, %d:%f~%f" % \ + (candlist1[ii].sigma, candlist2[jj].sigma, jj, + candlist1[ii].r, candlist2[jj].r)) if jj not in removelist2: removelist2.append(jj) else: - print("Crosslist remove from candlist 1, %f > %f, %d:%f~%f" % (candlist2[jj].sigma,candlist1[ii].sigma,ii,candlist1[ii].r,candlist2[jj].r)) + print("Crosslist remove from candlist 1, %f > %f, %d:%f~%f" % \ + (candlist2[jj].sigma, candlist1[ii].sigma, ii, + candlist1[ii].r, candlist2[jj].r)) if ii not in removelist1: removelist1.append(ii) jj += 1 @@ -257,8 +262,8 @@ def remove_crosslist_duplicate_candidates(candlist1,candlist2): del(candlist1[removelist1[ii]]) print("Removed %d crosslist candidates\n" % (len(removelist1)+len(removelist2))) print("Found %d candidates. Sorting them by significance...\n" % (len(candlist1)+len(candlist2))) - candlist1.sort(sifting.cmp_sigma) - candlist2.sort(sifting.cmp_sigma) + candlist1.sort(key=attrgetter('sigma'), reverse=True) + candlist2.sort(key=attrgetter('sigma'), reverse=True) return candlist1,candlist2 @@ -449,11 +454,11 @@ def main(fits_filenm, workdir, ddplans): lo_accel_cands, hi_accel_cands = remove_crosslist_duplicate_candidates(lo_accel_cands, hi_accel_cands) if len(lo_accel_cands): - lo_accel_cands.sort(sifting.cmp_sigma) + lo_accel_cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(lo_accel_cands, job.basefilenm+".accelcands_Z%d"%lo_accel_zmax) if len(hi_accel_cands): - hi_accel_cands.sort(sifting.cmp_sigma) + hi_accel_cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(hi_accel_cands, job.basefilenm+".accelcands_Z%d"%hi_accel_zmax) From 291e5ebd0c1dd6f2592eeeee6c6eb522b5b5a684 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 14:56:13 -0500 Subject: [PATCH 133/146] Fixed candidate comparison for sort for Py3 --- bin/GBT350_drift_search.py | 5 +++-- bin/PALFA_presto_search.py | 3 ++- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/bin/GBT350_drift_search.py b/bin/GBT350_drift_search.py index f9f2b883e..04f492c69 100755 --- a/bin/GBT350_drift_search.py +++ b/bin/GBT350_drift_search.py @@ -4,6 +4,7 @@ from builtins import str from builtins import range from builtins import object +from operator import attrgetter import glob, os, os.path, shutil, socket, tarfile, stat import numpy, sys, time from presto import sigproc @@ -392,7 +393,7 @@ def main(fil_filenm, workdir, ddplans): lo_accel_cands = sifting.remove_DM_problems(lo_accel_cands, numhits_to_fold, dmstrs, low_DM_cutoff) if len(lo_accel_cands): - lo_accel_cands.sort(sifting.cmp_sigma) + lo_accel_cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(lo_accel_cands, job.basefilenm+".accelcands_Z%d"%lo_accel_zmax) @@ -403,7 +404,7 @@ def main(fil_filenm, workdir, ddplans): hi_accel_cands = sifting.remove_DM_problems(hi_accel_cands, numhits_to_fold, dmstrs, low_DM_cutoff) if len(hi_accel_cands): - hi_accel_cands.sort(sifting.cmp_sigma) + hi_accel_cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(hi_accel_cands, job.basefilenm+".accelcands_Z%d"%hi_accel_zmax) diff --git a/bin/PALFA_presto_search.py b/bin/PALFA_presto_search.py index 84d3e52a0..ca1815749 100755 --- a/bin/PALFA_presto_search.py +++ b/bin/PALFA_presto_search.py @@ -4,6 +4,7 @@ from builtins import str from builtins import range from builtins import object +from operator import attrgetter import glob, os, os.path, socket, struct, sys, time, tarfile import numpy from presto import psr_utils @@ -521,7 +522,7 @@ def main(fil_filenm, workdir): if len(all_accel_cands): all_accel_cands = sifting.remove_harmonics(all_accel_cands) # Note: the candidates will be sorted in _sigma_ order, not _SNR_! - all_accel_cands.sort(sifting.cmp_sigma) + all_accel_cands.sort(key=attrgetter('sigma'), reverse=True) sifting.write_candlist(all_accel_cands, job.basefilenm+".accelcands") try: From 9c8408923e500855235b3110e517985461478a4c Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 15:28:39 -0500 Subject: [PATCH 134/146] Trying to make travis builds work --- .travis/py2.docker | 4 ++++ .travis/py3.docker | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/.travis/py2.docker b/.travis/py2.docker index 74c5abe26..79f5abcdf 100644 --- a/.travis/py2.docker +++ b/.travis/py2.docker @@ -15,5 +15,9 @@ RUN docker-apt-install \ libfftw3-dev RUN docker-apt-install pgplot5 ADD . /code +ENV PRESTO /code +WORKDIR /code/src +RUN make +WORKDIR /code RUN pip install /code diff --git a/.travis/py3.docker b/.travis/py3.docker index 2caa3fa8e..72c608376 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -14,5 +14,9 @@ RUN docker-apt-install \ libpng-dev \ libfftw3-dev ADD . /code +ENV PRESTO /code +WORKDIR /code/src +RUN make +WORKDIR /code RUN pip3 install /code From 3837ace915e6cd97777810e89c588de4a7c2d6fe Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 15:37:37 -0500 Subject: [PATCH 135/146] and again... with LD_LIBRARY_PATH --- .travis/py2.docker | 1 + .travis/py3.docker | 1 + 2 files changed, 2 insertions(+) diff --git a/.travis/py2.docker b/.travis/py2.docker index 79f5abcdf..a1bf0ae2e 100644 --- a/.travis/py2.docker +++ b/.travis/py2.docker @@ -16,6 +16,7 @@ RUN docker-apt-install \ RUN docker-apt-install pgplot5 ADD . /code ENV PRESTO /code +ENV LD_LIBRARY_PATH /code/lib WORKDIR /code/src RUN make WORKDIR /code diff --git a/.travis/py3.docker b/.travis/py3.docker index 72c608376..4dda43ae1 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -15,6 +15,7 @@ RUN docker-apt-install \ libfftw3-dev ADD . /code ENV PRESTO /code +ENV LD_LIBRARY_PATH /code/lib WORKDIR /code/src RUN make WORKDIR /code From 0c4d6489b97fb5140c5ae9d43102e9dca630be12 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 16:01:45 -0500 Subject: [PATCH 136/146] Only build libpresto.so and libsla.so --- .travis/py2.docker | 2 +- .travis/py3.docker | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis/py2.docker b/.travis/py2.docker index a1bf0ae2e..922c9e1b7 100644 --- a/.travis/py2.docker +++ b/.travis/py2.docker @@ -18,7 +18,7 @@ ADD . /code ENV PRESTO /code ENV LD_LIBRARY_PATH /code/lib WORKDIR /code/src -RUN make +RUN make libpresto slalib WORKDIR /code RUN pip install /code diff --git a/.travis/py3.docker b/.travis/py3.docker index 4dda43ae1..30151e37d 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -17,7 +17,7 @@ ADD . /code ENV PRESTO /code ENV LD_LIBRARY_PATH /code/lib WORKDIR /code/src -RUN make +RUN make libpresto slalib WORKDIR /code RUN pip3 install /code From 3f8ad1e7b488c02746015a6dd58dd9e5eed37558 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 16:58:07 -0500 Subject: [PATCH 137/146] Integer division issue --- examplescripts/short_analysis_simple.py | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/examplescripts/short_analysis_simple.py b/examplescripts/short_analysis_simple.py index da271d853..477fb8dac 100644 --- a/examplescripts/short_analysis_simple.py +++ b/examplescripts/short_analysis_simple.py @@ -30,7 +30,7 @@ def main(): help="High frequency (Hz) to search") parser.add_option("-z", "--zmax", type="int", dest="zmax", default=160, help="Maximum fourier drift (bins) to search") - parser.add_option("-w", "--wmax", type="int", dest="wmax", default=400, + parser.add_option("-w", "--wmax", type="int", dest="wmax", default=0, help="Maximum fourier drift deriv (bins) to search") parser.add_option("-a", "--numharm", type="int", dest="numharm", default=4, help="Number of harmonics to sum when searching") @@ -47,7 +47,7 @@ def main(): exit(1) else: options.nM *= 1000000 - short_nM = options.nM / 1000000 + short_nM = options.nM // 1000000 # The basename of the data files if argv[1].endswith(".dat"): @@ -73,9 +73,9 @@ def main(): print("Baryv = ", baryv) inf.N = options.nM inf.numonoff = 0 - nM = options.nM / 1000000 + nM = options.nM // 1000000 while point + options.nM < N: - pM = point / 1000000 + pM = point // 1000000 outname = basename[3:]+'_%03dM'%nM+'_%02d'%num stdout.write('\n'+outname+'\n\n') inf.name = outname @@ -95,9 +95,14 @@ def main(): myexecute('zapbirds -zap -zapfile '+outname+'.zaplist -baryv %g '% baryv+outname+'.fft') myexecute('rm -f '+outname+'.zaplist') - myexecute('accelsearch -sigma %.2f -zmax %d -wmax %d -numharm %d -flo %f -fhi %f '% - (options.sigma, options.zmax, options.wmax, - options.numharm, options.flo, options.fhi)+outname+'.fft') + if options.wmax > 0: + myexecute('accelsearch -sigma %.2f -zmax %d -wmax %d -numharm %d -flo %f -fhi %f '% + (options.sigma, options.zmax, options.wmax, + options.numharm, options.flo, options.fhi)+outname+'.fft') + else: + myexecute('accelsearch -sigma %.2f -zmax %d -numharm %d -flo %f -fhi %f '% + (options.sigma, options.zmax, + options.numharm, options.flo, options.fhi)+outname+'.fft') myexecute('rm '+outname+'.fft '+outname+'_ACCEL_%d.txtcand'%options.zmax) myexecute('cp '+outname+'.inf '+options.outdir) num = num + 1 From ce02959a8bfec7c1bea487e11dadafa0e587d030 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 17:14:01 -0500 Subject: [PATCH 138/146] Updated scripts and improved output handling --- examplescripts/full_analysis.py | 100 ++++++++++++------------ examplescripts/short_analysis_simple.py | 7 +- 2 files changed, 54 insertions(+), 53 deletions(-) diff --git a/examplescripts/full_analysis.py b/examplescripts/full_analysis.py index 028301fd9..57715962b 100644 --- a/examplescripts/full_analysis.py +++ b/examplescripts/full_analysis.py @@ -1,5 +1,5 @@ #!/usr/bin/python -from os import system, chdir, remove +from os import system, chdir, remove, environ from sys import stdout, argv, exit from glob import glob from optparse import OptionParser @@ -13,15 +13,15 @@ def myexecute(cmd): def main(): usage = "usage: %prog [options]" parser = OptionParser(usage) - parser.add_option("-d", "--dualcpus", action="store_true", dest="dualcpus", default=0, - help="There are two CPUs working on the same data files.") + parser.add_option("-c", "--numcpus", type="int", dest="numcpus", default=1, + help="Number of cpus/node working on the data set.") parser.add_option("-f", "--fft", action="store_true", dest="fft", default=0, help="Calculate (and later remove) the .fft files") parser.add_option("-v", "--baryvel", type="float", dest="baryv", default=0.0, help="Barycentric velocity in units of c") parser.add_option("-o", "--outdir", type="string", dest="outdir", default=".", help="Output directory to store results") - parser.add_option("-w", "--workdir", type="string", dest="workdir", default=".", + parser.add_option("-k", "--workdir", type="string", dest="workdir", default=".", help="Working directory for search") parser.add_option("-l", "--flo", type="float", dest="flo", default=1.0, help="Low frequency (Hz) to search") @@ -29,6 +29,8 @@ def main(): help="High frequency (Hz) to search") parser.add_option("-z", "--zmax", type="int", dest="zmax", default=170, help="Maximum fourier drift (bins) to search") + parser.add_option("-w", "--wmax", type="int", dest="wmax", default=None, + help="Maximum fourier 2nd deriv (bins) to search") parser.add_option("-a", "--numharm", type="int", dest="numharm", default=8, help="Number of harmonics to sum when searching") parser.add_option("-s", "--sigma", type="float", dest="sigma", default=2.0, @@ -53,19 +55,10 @@ def main(): dms.append(float(dataname[loptr:hiptr])) dms.sort() - # If using 2 CPUs, determine if we will analyze the first - # half of the data files or the second half - if (options.dualcpus): - flag = open("PROC_firsthalf", "w+") - try: lockf(flag.fileno(), LOCK_EX | LOCK_NB) - except IOError: # Can't get the lock, therefore 2nd - flag.close() - flag = open("PROC_lasthalf", "w+") - firsthalf = 0 - dms = dms[len(dms)/2:] - else: # Got the lock, therefore 1st - firsthalf = 1 - dms = dms[:len(dms)/2] + # Determine the CPU we are currently using (with Torque-based queue + # cpunum = int(environ['PBS_VNODENUM'])%options.numcpus + # Otherwise this needs to be set somehow.... + cpunum = 0 # The basename of the data files basename = datanames[0][:loptr-3] @@ -75,42 +68,45 @@ def main(): if birdname: birdname = birdname[0] - for dm in dms: - filenamebase = basename+'_DM%.2f'%dm - outnamebase = options.outdir+filenamebase - if options.fft: - myexecute('realfft '+filenamebase+'.dat') - myexecute('cp '+birdname+' '+filenamebase+'.birds') - myexecute('makezaplist.py '+filenamebase+'.birds') - myexecute('rm '+filenamebase+'.birds') - myexecute('zapbirds -zap -zapfile '+filenamebase+ - '.zaplist -baryv %g '%options.baryv+filenamebase+'.fft') - myexecute('rm '+filenamebase+'.zaplist') - myexecute('search_bin -flo 80 -ncand 200 -harmsum 1 '+filenamebase+'.fft') - myexecute('search_bin -flo 80 -ncand 200 -harmsum %d '%options.pmax+filenamebase+'.fft') - myexecute('cp '+filenamebase+'_bin* '+options.outdir) - myexecute('accelsearch -sigma %f -zmax 4 -numharm %d -flo %f -fhi %f ' % \ - (options.sigma, options.numharm, options.flo, options.fhi)+filenamebase+'.fft') - myexecute('cp '+filenamebase+'_ACCEL_4 '+options.outdir) - myexecute('cp '+filenamebase+'_ACCEL_4.cand '+options.outdir) - myexecute('cp '+filenamebase+'.inf '+options.outdir) - myexecute('accelsearch -sigma %f -zmax %d -numharm %d -flo %f -fhi %f ' % \ - (options.sigma, options.zmax, options.numharm, options.flo, options.fhi)+filenamebase+'.fft') - myexecute('cp '+filenamebase+'_ACCEL_%d '%options.zmax+options.outdir) - myexecute('cp '+filenamebase+'_ACCEL_%d.cand '%options.zmax+options.outdir) - myexecute('single_pulse_search.py -p '+filenamebase+'.dat') - myexecute('cp '+filenamebase+'.singlepulse '+options.outdir) - if options.fft: - myexecute('rm '+filenamebase+'.fft') + for ii in range(len(dms)): + dm = dms[ii] + # Assign each processor a DM to work on + if ii%options.numcpus == cpunum: + filenamebase = basename+'_DM%.2f'%dm + outnamebase = options.outdir+filenamebase + if options.fft: + myexecute('realfft '+filenamebase+'.dat') + myexecute('cp '+birdname+' '+filenamebase+'.birds') + myexecute('makezaplist.py '+filenamebase+'.birds') + myexecute('rm '+filenamebase+'.birds') + myexecute('zapbirds -zap -zapfile '+filenamebase+ + '.zaplist -baryv %g '%options.baryv+filenamebase+'.fft') + myexecute('rm '+filenamebase+'.zaplist') + #myexecute('search_bin -flo 80 -ncand 200 -harmsum 1 '+filenamebase+'.fft') + #myexecute('search_bin -flo 80 -ncand 200 -harmsum %d '%options.pmax+filenamebase+'.fft') + #myexecute('cp '+filenamebase+'_bin* '+options.outdir) + #myexecute('accelsearch -sigma %f -zmax 4 -numharm %d -flo %f -fhi %f ' % \ + # (options.sigma, options.numharm, options.flo, options.fhi)+filenamebase+'.fft') + #myexecute('cp '+filenamebase+'_ACCEL_4 '+options.outdir) + #myexecute('cp '+filenamebase+'_ACCEL_4.cand '+options.outdir) + #myexecute('cp '+filenamebase+'.inf '+options.outdir) + if options.wmax is not None: + myexecute('accelsearch -sigma %f -zmax %d -wmax %d -numharm %d -flo %f -fhi %f ' % \ + (options.sigma, options.zmax, options.wmax, options.numharm, options.flo, options.fhi)+filenamebase+'.fft') + myexecute('cp '+filenamebase+'_JERK_%d '%options.wmax+options.outdir) + myexecute('cp '+filenamebase+'_JERK_%d.cand '%options.wmax+options.outdir) + else: + myexecute('accelsearch -sigma %f -zmax %d -numharm %d -flo %f -fhi %f ' % \ + (options.sigma, options.zmax, options.numharm, options.flo, options.fhi)+filenamebase+'.fft') + myexecute('cp '+filenamebase+'_ACCEL_%d '%options.zmax+options.outdir) + myexecute('cp '+filenamebase+'_ACCEL_%d.cand '%options.zmax+options.outdir) + myexecute('single_pulse_search.py -f -p '+filenamebase+'.dat') + myexecute('cp '+filenamebase+'.singlepulse '+options.outdir) + myexecute('cp '+filenamebase+'.inf '+options.outdir) + if options.fft: + myexecute('rm '+filenamebase+'.fft') - if (options.dualcpus): - if firsthalf: - lockf(flag.fileno(), LOCK_UN) - flag.close() - remove("PROC_firsthalf") - else: - flag.close() - remove("PROC_lasthalf") + else: pass if __name__ == "__main__": main() diff --git a/examplescripts/short_analysis_simple.py b/examplescripts/short_analysis_simple.py index 477fb8dac..d5562f771 100644 --- a/examplescripts/short_analysis_simple.py +++ b/examplescripts/short_analysis_simple.py @@ -99,11 +99,16 @@ def main(): myexecute('accelsearch -sigma %.2f -zmax %d -wmax %d -numharm %d -flo %f -fhi %f '% (options.sigma, options.zmax, options.wmax, options.numharm, options.flo, options.fhi)+outname+'.fft') + myexecute('rm '+outname+'.fft '+outname+'_JERK_%d.txtcand'%options.wmax) + myexecute('cp '+outname+'_JERK_%d '%options.wmax + options.outdir) + myexecute('cp '+outname+'_JERK_%d.cand '%options.wmax + options.outdir) else: myexecute('accelsearch -sigma %.2f -zmax %d -numharm %d -flo %f -fhi %f '% (options.sigma, options.zmax, options.numharm, options.flo, options.fhi)+outname+'.fft') - myexecute('rm '+outname+'.fft '+outname+'_ACCEL_%d.txtcand'%options.zmax) + myexecute('rm '+outname+'.fft '+outname+'_ACCEL_%d.txtcand'%options.zmax) + myexecute('cp '+outname+'_ACCEL_%d '%options.zmax + options.outdir) + myexecute('cp '+outname+'_ACCEL_%d.cand '%options.zmax + options.outdir) myexecute('cp '+outname+'.inf '+options.outdir) num = num + 1 point = point + int(options.nM * options.frac) From 98ccd7052a83e1f26ce97c712aa2fc8864a29d2c Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 17:17:18 -0500 Subject: [PATCH 139/146] Add extremely simple build tests of PRESTO python --- .travis/py2.docker | 2 +- .travis/py3.docker | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis/py2.docker b/.travis/py2.docker index 922c9e1b7..b774425b8 100644 --- a/.travis/py2.docker +++ b/.travis/py2.docker @@ -21,4 +21,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip install /code - +RUN python tests/test_presto_python.py diff --git a/.travis/py3.docker b/.travis/py3.docker index 30151e37d..a5aa9e9ef 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -20,4 +20,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip3 install /code - +RUN python tests/test_presto_python.py From d828bc0f905b9f09ed78bcafdefec79287435294 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 17:36:25 -0500 Subject: [PATCH 140/146] Use python3 for test call --- .travis/py3.docker | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis/py3.docker b/.travis/py3.docker index a5aa9e9ef..99fa3cf86 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -20,4 +20,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip3 install /code -RUN python tests/test_presto_python.py +RUN python3 tests/test_presto_python.py From 7c54f468f61e49efbd061022226df0e3875ac598 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 17:58:01 -0500 Subject: [PATCH 141/146] Made FFTW used by default --- include/ransomfft.h | 16 +- src/Makefile | 2 +- src/PMsurv_phasemod.c | 884 ------------------------------------------ src/fastffts.c | 35 -- src/fftcalls.c | 33 -- 5 files changed, 5 insertions(+), 965 deletions(-) delete mode 100644 src/PMsurv_phasemod.c diff --git a/include/ransomfft.h b/include/ransomfft.h index c0379e733..15cc7f8d2 100644 --- a/include/ransomfft.h +++ b/include/ransomfft.h @@ -32,19 +32,11 @@ typedef fcomplex rawtype; /* Figure out which FFTs we are using */ +#include "fftw3.h" +void fftwcall(fcomplex *indata, long nn, int isign); +void read_wisdom(void); #ifndef COMPLEXFFT -#if defined USEFFTW - #define COMPLEXFFT fftwcall - #include "fftw3.h" - void fftwcall(fcomplex *indata, long nn, int isign); - void read_wisdom(void); -#elif defined USESGIFFT - #define COMPLEXFFT sgifftcall - #include "fft.h" - void sgifftcall(fcomplex *indata, long nn, int isign); -#else - #define COMPLEXFFT tablesixstepfft -#endif +#define COMPLEXFFT fftwcall #endif #ifndef TWOPI diff --git a/src/Makefile b/src/Makefile index 277c2b0fb..ca858aab3 100644 --- a/src/Makefile +++ b/src/Makefile @@ -55,7 +55,7 @@ USEPROFILE = false # Very recent Intel CPUs might see a few percent speedup using -mavx CFLAGS = -I$(PRESTO)/include $(GLIBINC) $(CFITSIOINC) $(PGPLOTINC) $(FFTINC) \ - -DUSEFFTW -DUSEMMAP -D_LARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 \ + -DUSEMMAP -D_LARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 \ -g -Wall -W -fPIC -O3 -ffast-math CLINKFLAGS = $(CFLAGS) diff --git a/src/PMsurv_phasemod.c b/src/PMsurv_phasemod.c deleted file mode 100644 index 5beb5ca44..000000000 --- a/src/PMsurv_phasemod.c +++ /dev/null @@ -1,884 +0,0 @@ -#include -#include -#include -#include -#include -#include "tape_hdr.h" - -/* If the following is defined, the program will print */ -/* debugging info to stdout or the results to the output dir. */ -/* #define DEBUGOUT */ - -#ifndef TWOPI -#define TWOPI 6.2831853071795864769252867665590057683943387987502 -#endif - -/* Minimum binary period (s) to accept as 'real' */ -#define MINORBP 100.0 - -/* Minimum miniFFT bin number to accept as 'real' */ -#define MINMINIBIN 3 - -/* Minimum pulsar frequency (Hz) to search */ -#define MINFREQ 1.0 - -/* Maximum pulsar frequency (Hz) to search */ -#define MAXFREQ 900.0 - -/* Factor to overlap the miniFFTs (power-of-two only) */ -/* 1 = no overlap of successive miniFFTs */ -/* 2 = overlap 1/2 of each miniFFT */ -/* 4 = overlap 3/4 of each miniFFT */ -#define OVERLAPFACT 2 - -/* Blocks of length maxfft to work with at a time */ -#define WORKBLOCK 4 - -/* The power level at which to prune the initial power spectrum */ -/* in order to remove some of the basic RFI etc. */ -#define PRUNELEV 25 - -/* The power level to reduce pruned powers to */ -#define NEWLEV 5 - -/* Candidate file directory */ -/* #define OUTDIR "/home/ransom" */ -#define OUTDIR "/tmp_mnt/usr/users/sransom/results" - -/* The number of miniffts to use */ -#define NUMMINIFFTS 7 - -/* Define USEFFTW in order to use FFTW */ -/* #define USEFFTW */ -#ifdef USEFFTW -#include "fftw.h" -/* FFTW plans for the FFTs */ -static fftw_plan fftwplan[NUMMINIFFTS]; -static fftw_plan plan; -#else -typedef struct fftw_plan { - int decoy; -} fftw_plan; -static double *ffttables[NUMMINIFFTS], *table; -#endif - -/* The lengths of the miniffts to use */ -static int minifftlen[NUMMINIFFTS] = { 32, 64, 128, 256, 512, 1024, 2048 }; - -/* Output thresholds */ -/* If any candidates have a power level greater than the */ -/* following (which corresponds to a sigma of ~6.5 when */ -/* you take into account the number of bins searched in */ -/* each minifft), then print the candidate and observation */ -/* info to the output candfile. */ - -static double threshold[NUMMINIFFTS] = - { 26.71, 27.40, 28.09, 28.79, 29.48, 30.17, 30.86 }; -/* The following is ~7.5 sigma if needed - {33.85, 34.54, 35.23, 35.93, 36.62, 37.31, 38.01}; -*/ - -/* A single precision floating point complex structure */ - -typedef struct FCOMPLEX { - float r; /* real */ - float i; /* imag */ -} fcomplex; - -/* The binary candidate structure to write if we find candidates */ - -typedef struct RAWBINCAND { - double full_N; /* Number of points in original time series */ - double full_T; /* Length (s) of original time series */ - double full_lo_r; /* Lowest Fourier bin that was miniFFTd */ - double mini_N; /* Number of points in short (mini) FFT */ - double mini_r; /* Candidate Fourier bin in miniFFT */ - double mini_power; /* Candidate normalized power in miniFFT */ - double mini_numsum; /* Number of powers summed to get candidate */ - double mini_sigma; /* Equivalent candidate sigma (for sum pow) */ - double psr_p; /* Approx PSR period (miniFFT center bin) */ - double orb_p; /* Approx orbital period (s) */ -} rawbincand; - -/* A short structure containing useful info */ - -typedef struct INFO { - double dt; /* Sample time (s) */ - double dm; /* Dispersion measure */ - double T; /* Integration time */ - int N; /* Number of samples */ - int file_cntr; /* File number on tape */ - int ibeam; /* Multibeam number */ - char tape_lbl[7]; /* Tape label */ - char pname[17]; /* Pointing ID */ - char outfilebase[50]; /* Base output filename */ - char rawheader[640]; /* Multibeam header */ -} info; - -static float median(float arr[], int n); -#ifdef USEFFTW -static void make_plans(void); -static void destroy_plans(void); -#endif -static void info_from_header(struct tphdr *header, int N, - double dt, double dm, info * idata); -static int prune_powers(float *arr, int n, int numsumpows); -static void realfft(float idata[], long n, int isign); -static void cand_output(double pow, double bin, int numminifft, - int lorfullfft, info * idata, int candnum); -static void search_phasemod(fcomplex * minifft, int numminifft, - int lorfullfft, double threshold, - info * idata, int *numcands); -static void tablesplitfft(float data[], long nn, int isign); -static void tablefft(float data[], long nn, int isign); -static double *maketable(long nn, int isign); -static void fft_scramble(float data[], long nn); -static void tablefftraw(float data[], double table[], long n); -static void tablesplitfftraw(float data[], double table[], long n, int isign); - -/******************************************************************/ - -int PMsurv_phasemod_search(struct tphdr *header, int N, - fcomplex * bigfft, double dt, double dm) -/* - * This routine searches an FFT (assumed to be single precision - * complex values in increasing order by Fourier Freq) from the - * Parkes Multibeam Pulsar Survey for binary pulsars in very short - * orbits. The method used looks for periodic phase-modulation - * induced sidelobes around a pulsar spin freq in the power spectrum - * (see http://cfa160.harvard.edu/~ransom/readable_poster.ps.gz for - * more details). The inputs are: - * *header - the 640 byte raw header for the observation - * N - the number of frequencies in the input FFT - * (should be 2**22 for a full length pointing) - * *bigfft - the single precision full-length FFT to be searched - * dt - the sample time for the FFT (should be 0.00025 for - * a non-decimated pointing) - * dm - the DM used to prepare the data in the bigfft - * The routine as now stands takes approximately 10-15 sec to run - * on a full-length FFT (i.e. a 2**22 point pointing). - * We should be sensitive to pulsars in very-low to very-high mass - * binaries with orbital periods <~ 20min and flux densities of ~1 mJy - * or a little less (if the duty cycle of the pulsar is short enough). - * Return value is 0 if the code didn't find any candidates. If the - * return value is positive, then a significant candidate (or more) - * was found in the FFT (this could be the trigger to save the bigFFT - * to a file for a more in depth analysis...) - */ -{ - int ii, jj, worklen, fftindex, fftlen, binsleft, overlaplen; - int bigfft_offset, max_offset, powers_offset, wrkblk = WORKBLOCK; - int minfft, maxfft, numcands = 0; - float *powers, *minifft, *powers_pos; - double norm, thresh; - info idata; - - /* Convert the Header into usable info... */ - info_from_header(header, 2 * N, dt, dm, &idata); - - /* Make the FFTW plans or twiddle tables */ -#ifdef USEFFTW - make_plans(); -#else - for (ii = 0; ii < NUMMINIFFTS; ii++) - ffttables[ii] = maketable(minifftlen[ii] / 2, 1); -#endif - - /* Set some key variables */ - fftindex = NUMMINIFFTS - 1; - minfft = minifftlen[0]; - maxfft = minifftlen[fftindex]; - worklen = (wrkblk + 1) * maxfft - (maxfft / OVERLAPFACT); - bigfft_offset = (int) ceil(MINFREQ * idata.T); - max_offset = (int) floor(MAXFREQ * idata.T); - if (max_offset > N - 1) - max_offset = N - 1; - - /* Allocate the arrays that will store the powers from */ - /* the bigFFT as well as the miniFFTs. */ - powers = (float *) malloc(sizeof(float) * worklen); - minifft = (float *) malloc(sizeof(float) * maxfft); - - while (bigfft_offset < max_offset) { /* Loop through the bigFFT */ -#ifdef DEBUGOUT - printf("\nbigfft_offset = %d\n", bigfft_offset); -#endif - - /* How close are we to the end of the freqs we want to search? */ - binsleft = max_offset - bigfft_offset; - - /* make the maximum fft size the default */ - fftindex = NUMMINIFFTS - 1; - - /* Adjust our search parameters if close to end of zone to search */ - if (binsleft < worklen) { - wrkblk = 1; - worklen = (wrkblk + 1) * maxfft - (maxfft / OVERLAPFACT); - while (binsleft < worklen && fftindex > 0) { - fftindex--; - maxfft = minifftlen[fftindex]; - worklen = (wrkblk + 1) * maxfft - (maxfft / OVERLAPFACT); - } - if (worklen < minfft) - break; - } - - /* Get the powers from the bigFFT */ - for (ii = 0, jj = bigfft_offset; ii < worklen; ii++, jj++) - powers[ii] = bigfft[jj].r * bigfft[jj].r + bigfft[jj].i * bigfft[jj].i; - - /* Chop the powers that are way above the median. */ - /* This is a crude way of removing strong coherent */ - /* pulsations or RFI from the power spectrum. */ - prune_powers(powers, worklen, 1); - - /* Loop through the different small FFT sizes */ - while (fftindex >= 0) { - thresh = threshold[fftindex]; - fftlen = minifftlen[fftindex]; -#ifdef USEFFTW - plan = fftwplan[fftindex]; -#else - table = ffttables[fftindex]; -#endif -#ifdef DEBUGOUT - printf("\n%d:\n", fftlen); -#endif - powers_pos = powers; - powers_offset = 0; - overlaplen = fftlen / OVERLAPFACT; - - /* Perform miniffts at each section of the powers array */ - while (powers_offset < wrkblk * maxfft) { -#ifdef DEBUGOUT - printf("%d ", bigfft_offset + powers_offset); -#endif - /* Copy the proper amount and portion of powers into minifft */ - memcpy(minifft, powers_pos, fftlen * sizeof(float)); - - /* Perform the minifft */ - realfft(minifft, fftlen, -1); - - /* Normalize and search the miniFFT */ - norm = sqrt((double) fftlen) / minifft[0]; - for (ii = 0; ii < fftlen; ii++) - minifft[ii] *= norm; - search_phasemod((fcomplex *) minifft, fftlen / 2, - bigfft_offset + powers_offset, - thresh, &idata, &numcands); - - /* Increment our data pointers */ - powers_pos += overlaplen; - powers_offset += overlaplen; - } - - /* Switch to the next smaller miniFFT size */ - fftindex--; - } - - bigfft_offset += wrkblk * maxfft; - } - - /* Free up our data arrays */ - - ii = -1; - search_phasemod(NULL, 0, 0, 0.0, &idata, &ii); - free(powers); - free(minifft); - /* Free the FFTW plans or twiddle tables */ -#ifdef USEFFTW - destroy_plans(); -#else - for (ii = 0; ii < NUMMINIFFTS; ii++) - free(ffttables[ii]); -#endif - return numcands; -} - - -/* - * This Quickselect routine is based on the algorithm described in - * "Numerical recipies in C", Second Edition, - * Cambridge University Press, 1992, Section 8.5, ISBN 0-521-43108-5 - */ - -/* Fast computation of the median of an array. */ -/* Note: It messes up the order! */ - -#define ELEM_SWAP(a,b) { register float t=(a);(a)=(b);(b)=t; } - -static float median(float arr[], int n) -{ - int low, high; - int median; - int middle, ll, hh; - - low = 0; - high = n - 1; - median = (low + high) / 2; - for (;;) { - if (high <= low) /* One element only */ - return arr[median]; - - if (high == low + 1) { /* Two elements only */ - if (arr[low] > arr[high]) - ELEM_SWAP(arr[low], arr[high]); - return arr[median]; - } - - /* Find median of low, middle and high items; swap into position low */ - middle = (low + high) / 2; - if (arr[middle] > arr[high]) - ELEM_SWAP(arr[middle], arr[high]); - if (arr[low] > arr[high]) - ELEM_SWAP(arr[low], arr[high]); - if (arr[middle] > arr[low]) - ELEM_SWAP(arr[middle], arr[low]); - - /* Swap low item (now in position middle) into position (low+1) */ - ELEM_SWAP(arr[middle], arr[low + 1]); - - /* Nibble from each end towards middle, swapping items when stuck */ - ll = low + 1; - hh = high; - for (;;) { - do - ll++; - while (arr[low] > arr[ll]); - do - hh--; - while (arr[hh] > arr[low]); - - if (hh < ll) - break; - - ELEM_SWAP(arr[ll], arr[hh]); - } - - /* Swap middle item (in position low) back into correct position */ - ELEM_SWAP(arr[low], arr[hh]); - - /* Re-set active partition */ - if (hh <= median) - low = ll; - if (hh >= median) - high = hh - 1; - } -} - - -#ifdef USEFFTW -static void make_plans(void) -{ - int ii; - for (ii = 0; ii < NUMMINIFFTS; ii++) - fftwplan[ii] = fftw_create_plan(minifftlen[ii] / 2, -1, - FFTW_MEASURE | FFTW_USE_WISDOM | - FFTW_IN_PLACE); -} - -static void destroy_plans(void) -{ - int ii; - for (ii = 0; ii < NUMMINIFFTS; ii++) - fftw_destroy_plan(fftwplan[ii]); -} -#endif - -static char *rmtrail(char *str) -/* Removes trailing space from a string */ -{ - int i; - - if (str && 0 != (i = strlen(str))) { - while (--i >= 0) { - if (!isspace(str[i])) - break; - } - str[++i] = '\0'; - } - return str; -} - - -static void info_from_header(struct tphdr *header, int N, - double dt, double dm, info * idata) -{ - idata->dt = dt; - idata->dm = dm; - idata->N = N; - idata->T = N * dt; - strncpy(idata->tape_lbl, header->tape_lbl, 6); - idata->tape_lbl[6] = '\0'; - rmtrail(idata->tape_lbl); - strncpy(idata->pname, header->pname, 16); - idata->pname[16] = '\0'; - rmtrail(idata->pname); - idata->ibeam = strtol(header->ibeam, NULL, 10); - idata->file_cntr = strtol(header->file_cntr, NULL, 10); - sprintf(idata->outfilebase, "%s_File%d_Beam%02d_DM%.2f_%s", - idata->tape_lbl, idata->file_cntr, idata->ibeam, idata->dm, - idata->pname); - memcpy(idata->rawheader, (char *) header, 640); -} - - -static int prune_powers(float *arr, int n, int numsumpows) -{ - int ii, ct = 0; - float med, cutoff, *tmparr; - - /* Determine the median power */ - - tmparr = (float *) malloc(sizeof(float) * n); - memcpy(tmparr, arr, sizeof(float) * n); - med = median(tmparr, n); - free(tmparr); - - /* Throw away powers that are bigger than PRUNELEV * median */ - - cutoff = med * PRUNELEV / sqrt((float) numsumpows); - for (ii = 0; ii < n; ii++) { - if (arr[ii] > cutoff) { - arr[ii] = NEWLEV * med; - ct++; - } - } - return ct; -} - - -static void realfft(float idata[], long n, int isign) -/* This is a modified version of the NR routine with correct (-) */ -/* exponent. The forward transform (i.e. normal FFT) is isign=-1 */ -{ - long nby2, il, ih; - double cc, h1r, h1i, h2r, h2i, h2rwr, h2iwr, h2rwi, h2iwi; - double wr, wi, wpr, wpi, tmp1, theta; - fcomplex *data; - - if (n % 2) { - printf("\nrealfft() arrays lengths must be evenly divisible by 2.\n\n"); - exit(-1); - } - nby2 = n >> 1; - data = (fcomplex *) idata; - if (isign == -1) { - cc = -0.5; - theta = -TWOPI / (double) n; -#ifdef USEFFTW - fftw_one(plan, (FFTW_COMPLEX *) idata, NULL); -#else - tablesplitfftraw(idata, table, n / 2, isign); - /* tablefftraw(idata, table, n/2); */ - fft_scramble(idata, n / 2); -#endif - } else { - cc = 0.5; - theta = TWOPI / (double) n; - /* Numerical Recipes gives a sign error for */ - /* the imaginary part of frequency n/2. */ - if ((n + 2) % 4) - data[(n >> 2)].i = -data[(n >> 2)].i; - } - /* Prep the trig recursion */ - wr = cos(theta); - wi = sin(theta); - tmp1 = sin(0.5 * theta); - wpr = -2.0 * tmp1 * tmp1; - wpi = wi; - il = 1; /* n */ - ih = nby2 - il; /* N/2-n */ - for (; il <= (n >> 2); il++, ih--) { - h1r = 0.5 * (data[il].r + data[ih].r); - h1i = 0.5 * (data[il].i - data[ih].i); - h2r = -cc * (data[il].i + data[ih].i); - h2i = cc * (data[il].r - data[ih].r); - h2rwr = h2r * wr; - h2rwi = h2r * wi; - h2iwr = h2i * wr; - h2iwi = h2i * wi; - data[il].r = h1r + h2rwr - h2iwi; - data[il].i = h1i + h2iwr + h2rwi; - data[ih].r = h1r - h2rwr + h2iwi; - data[ih].i = -h1i + h2iwr + h2rwi; - tmp1 = wr; - wr = tmp1 * wpr - wi * wpi + wr; - wi = wi * wpr + tmp1 * wpi + wi; - } - if (isign == -1) { - /* Set data[0].r to Freq 0 value */ - /* Set data[0].i to Nyquist value */ - tmp1 = data[0].r; - data[0].r = tmp1 + data[0].i; - data[0].i = tmp1 - data[0].i; - /* Numerical Recipes gives a sign error for */ - /* the imaginary part of frequency n/2. */ - if ((n + 2) % 4) - data[(n >> 2)].i = -data[(n >> 2)].i; - } else { - tmp1 = data[0].r; - data[0].r = 0.5 * (tmp1 + data[0].i); - data[0].i = 0.5 * (tmp1 - data[0].i); -#ifdef USEFFTW - fftw_one(plan, (FFTW_COMPLEX *) idata, NULL); -#else - tablesplitfftraw(idata, table, n / 2, isign); - /* tablefftraw(idata, table, n/2); */ - fft_scramble(idata, n / 2); -#endif - tmp1 = 2.0 / (double) n; - for (il = 0; il < n; il++) - idata[il] *= tmp1; - } -} - - -static void cand_output(double pow, double bin, int numminifft, - int lorfullfft, info * idata, int candnum) -/* Write the candidate */ -{ - static FILE *out_binfile = NULL, *out_txtfile = NULL; - static int filesopen = 0; - double orbperr, psrperr; - char filenm[100]; - rawbincand cand; - - if (candnum == 1) { - /* Write the header */ - sprintf(filenm, "%s/%s.hdr", OUTDIR, idata->outfilebase); - out_binfile = fopen(filenm, "wb"); - fwrite(idata->rawheader, 640, 1, out_binfile); - fclose(out_binfile); - /* Open the binary file */ - sprintf(filenm, "%s/%s.cand", OUTDIR, idata->outfilebase); - out_binfile = fopen(filenm, "wb"); - /* Open the text file */ - sprintf(filenm, "%s/%s.phsout", OUTDIR, idata->outfilebase); - out_txtfile = fopen(filenm, "w"); - fprintf(out_txtfile, "# Tape: %s\n", idata->tape_lbl); - fprintf(out_txtfile, "# File #: %d\n", idata->file_cntr); - fprintf(out_txtfile, "# Beam: %d\n", idata->ibeam); - fprintf(out_txtfile, "# Pointing: %s\n", idata->pname); - fprintf(out_txtfile, "# DM: %.2f\n", idata->dm); - fprintf(out_txtfile, "# dt: %.7g\n", idata->dt); - fprintf(out_txtfile, "# N: %d\n", idata->N); - fprintf(out_txtfile, - "#-----------------------------------------------------------------------------------\n"); - fprintf(out_txtfile, - "# Power/ P_orbit+/-Err P_pulsar+/-Err FullFFT MiniFFT MiniFFT\n"); - fprintf(out_txtfile, - "# Cand LocPow (sec) (sec) Low Bin Length Bin \n"); - fprintf(out_txtfile, - "#-----------------------------------------------------------------------------------\n"); - filesopen = 1; - } else if (candnum == 0) { - if (filesopen) { - fclose(out_binfile); - fclose(out_txtfile); - filesopen = 0; - } - return; - } - - /* Calculate the candidate */ - - cand.full_N = idata->N; - cand.full_T = idata->T; - cand.full_lo_r = lorfullfft; - cand.mini_N = 2 * numminifft; - cand.mini_r = bin; - cand.mini_sigma = 7.5; - cand.mini_power = pow; - cand.mini_numsum = 1; - cand.psr_p = idata->T / (lorfullfft + numminifft); - cand.orb_p = idata->T * bin / cand.mini_N; - orbperr = 0.5 * cand.full_T / cand.mini_N; - if (cand.full_lo_r == 0.0) - psrperr = cand.psr_p; - else - psrperr = fabs(cand.full_T / (cand.full_lo_r + - 0.5 * cand.mini_N) - - cand.full_T / cand.full_lo_r); - - /* Now output it... */ - fwrite(&cand, sizeof(rawbincand), 1, out_binfile); - fprintf(out_txtfile, " %4d ", candnum); - fprintf(out_txtfile, " %7.2f ", cand.mini_power); - fprintf(out_txtfile, " %8.2f", cand.orb_p); - fprintf(out_txtfile, " %-7.2g ", orbperr); - if (cand.psr_p < 0.001) - fprintf(out_txtfile, " %12.5e", cand.psr_p); - else - fprintf(out_txtfile, " %12.9f", cand.psr_p); - fprintf(out_txtfile, " %-7.2g ", psrperr); - fprintf(out_txtfile, " %9.0f ", cand.full_lo_r); - fprintf(out_txtfile, " %6.0f ", cand.mini_N); - fprintf(out_txtfile, " %8.1f\n", cand.mini_r); - fflush(out_txtfile); - return; -} - - -static void search_phasemod(fcomplex * minifft, int numminifft, - int lorfullfft, double threshold, - info * idata, int *numcands) -/* Search the short FFT of a group of powers from a long FFT for */ -/* pulsations that have been phase-modulated. */ -{ - int ii, lobin, hibin, numpowers; - double twobypi = 0.6366197723675813430755351, pow; - fcomplex interbin; - - /* Close the outputfiles */ - if (*numcands < 0) { - cand_output(0.0, 0.0, 0, 0, idata, 0); - return; - } - - /* Prep some other values we will need */ - numpowers = 2 * numminifft; - lobin = (int) ceil(numpowers * MINORBP / idata->T); - if (lobin < MINMINIBIN) - lobin = MINMINIBIN; - hibin = numminifft - 2; - - /* Loop through the minifft */ - for (ii = lobin; ii < hibin; ii++) { - pow = minifft[ii].r * minifft[ii].r + minifft[ii].i * minifft[ii].i; - if (pow > threshold) { - (*numcands)++; - cand_output(pow, ii, numminifft, lorfullfft, idata, *numcands); - } - interbin.r = twobypi * (minifft[ii].r - minifft[ii + 1].r); - interbin.i = twobypi * (minifft[ii].i - minifft[ii + 1].i); - pow = interbin.r * interbin.r + interbin.i * interbin.i; - if (pow > threshold) { - (*numcands)++; - cand_output(pow, ii + 0.5, numminifft, lorfullfft, idata, *numcands); - } - } -} - - -#undef ELEM_SWAP -#undef MINORBP -#undef MINMINIBIN -#undef MINFREQ -#undef MAXFREQ -#undef OVERLAPFACT -#undef WORKBLOCK -#undef PRUNELEV -#undef NEWLEV -#undef OUTDIR -#undef NUMMINIFFTS -#ifdef DEBUGOUT -#undef DEBUGOUT -#endif - -/* Various FFT routines and aux. routines */ - -#ifndef SWAP -/* Swaps two variables of undetermined type */ -#define SWAP(a,b) tempzz=(a);(a)=(b);(b)=tempzz; -#endif - -static void tablesplitfft(float data[], long nn, int isign) -/* This is a split-radix Decimation in Frequency FFT */ -{ - double *table; - - table = maketable(nn, 1); - tablesplitfftraw(data, table, nn, isign); - fft_scramble(data, nn); - free(table); -} - - -static void tablefft(float data[], long nn, int isign) -/* This is a radix-2 Gentleman-Sande or Decimation in Frequency FFT */ -{ - double *table; - - table = maketable(nn, isign); - tablefftraw(data, table, nn); - fft_scramble(data, nn); - free(table); -} - - -static double *maketable(long nn, int isign) -{ - long i, n; - double tmp1, wr, wpr, wpi, wi, theta; - double *table; - - n = (nn << 1); - table = (double *) malloc(sizeof(double) * n); - table[0] = 1.0; - table[1] = 0.0; - theta = isign * (TWOPI / nn); - wr = cos(theta); - wi = sin(theta); - tmp1 = sin(0.5 * theta); - wpr = -2.0 * tmp1 * tmp1; - wpi = wi; - for (i = 2; i < n; i += 2) { - table[i] = wr; - table[i + 1] = wi; - wr = (tmp1 = wr) * wpr - wi * wpi + wr; - wi = wi * wpr + tmp1 * wpi + wi; - } - /* To check trig recursion above... - for (i = 0; i < n; i += 2) { - theta = isign*i*(PI/nn); - table[i] = cos(theta); - table[i + 1] = sin(theta); - } - */ - return table; -} - - -static void fft_scramble(float data[], long nn) -{ - long i, j, m, n; - float tempzz; - - data--; - n = nn << 1; - j = 1; - for (i = 1; i < n; i += 2) { - if (j > i) { - SWAP(data[j], data[i]); - SWAP(data[j + 1], data[i + 1]); - } - m = n >> 1; - while (m >= 2 && j > m) { - j -= m; - m >>= 1; - } - j += m; - } -} - - -static void tablefftraw(float data[], double table[], long n) -/* This is a radix-2 Gentleman-Sande or Decimation in Frequency FFT */ -{ - register long j, m = 2, p, q, k, n2 = n, n1, nn; - register double c, s, rtmp, itmp; - - nn = (n << 1); - while (m < nn) { - n1 = n2; - n2 >>= 1; - for (j = 0, q = 0; j < n1; j += 2) { - c = table[q]; - s = table[q + 1]; - q += m; - for (k = j; k < nn; k += n1 * 2) { - p = (k + n1); - rtmp = data[k] - data[p]; - itmp = data[k + 1] - data[p + 1]; - data[k] += data[p]; - data[k + 1] += data[p + 1]; - data[p] = c * rtmp - s * itmp; - data[p + 1] = c * itmp + s * rtmp; - } - } - m <<= 1; - } -} - - -static void tablesplitfftraw(float data[], double table[], long n, int isign) -/* This is a split-radix Decimation in Frequency FFT */ -{ - int m, n2, j, is, id; - register int i0, n4, n3; - register int i0i, i1i, i2i, i3i; - double r1, r2, s1, s2, s3, cc1, ss1, cc3, ss3; - int a, a3, ai, a3i, ndec = n - 1; - float *x; - - /* The following is a total HACK. See below also. */ - if (isign == 1) - for (j = 1; j < n * 2; j += 2) - data[j] = -data[j]; - x = data - 2; - n2 = n << 1; - m = 1; - while (m < n / 2) { - n2 >>= 1; - n4 = n2 >> 2; - n3 = n2 >> 1; - a = 0; - for (j = 1; j <= n4; j++) { - ai = a << 1; - a3 = (a + (a << 1)) & ndec; - a3i = a3 << 1; - cc1 = table[ai]; - ss1 = table[ai + 1]; - cc3 = table[a3i]; - ss3 = table[a3i + 1]; - a = (a + m) & ndec; - is = j; - id = n2 << 1; - do { - for (i0 = is; i0 <= n - 1; i0 += id) { - i0i = i0 << 1; - i1i = i0i + n3; - i2i = i1i + n3; - i3i = i2i + n3; - r1 = x[i0i] - x[i2i]; - x[i0i] += x[i2i]; - r2 = x[i1i] - x[i3i]; - x[i1i] += x[i3i]; - s1 = x[i0i + 1] - x[i2i + 1]; - x[i0i + 1] += x[i2i + 1]; - s2 = x[i1i + 1] - x[i3i + 1]; - x[i1i + 1] += x[i3i + 1]; - s3 = r1 - s2; - r1 += s2; - s2 = r2 - s1; - r2 += s1; - x[i2i] = r1 * cc1 - s2 * ss1; - x[i2i + 1] = -s2 * cc1 - r1 * ss1; - x[i3i] = s3 * cc3 + r2 * ss3; - x[i3i + 1] = r2 * cc3 - s3 * ss3; - } - is = (id << 1) - n2 + j; - id <<= 2; - } - while (is < n); - } - m <<= 1; - } - is = 1; - id = 4; - do { - for (i0 = is; i0 <= n; i0 += id) { - i0i = i0 << 1; - i1i = i0i + 2; - r1 = x[i0i]; - x[i0i] = r1 + x[i1i]; - x[i1i] = r1 - x[i1i]; - r1 = x[i0i + 1]; - x[i0i + 1] = r1 + x[i1i + 1]; - x[i1i + 1] = r1 - x[i1i + 1]; - } - is = (id << 1) - 1; - id <<= 2; - } - while (is < n); - /* The following is a total HACK. */ - if (isign == 1) - for (j = 1; j < n * 2; j += 2) - data[j] = -data[j]; -} - -#undef TWOPI -#ifdef SWAP -#undef SWAP -#endif diff --git a/src/fastffts.c b/src/fastffts.c index f2567bb2c..21b7e01a6 100644 --- a/src/fastffts.c +++ b/src/fastffts.c @@ -46,20 +46,13 @@ void tablesixstepfft(fcomplex * indata, long nn, int isign) double wpr, wpi, wr, wi, theta, tmp1, tmp2; int move_size; unsigned char *move; -#if defined USEFFTW fftwf_plan plan; static fftwf_plan last_plan = NULL; static int firsttime = 1, lastn = 0, lastisign = 0; -#else - float *p1; - double *table; -#endif -#if defined USEFFTW /* If calling for the first time, read the wisdom file */ if (firsttime) read_wisdom(); -#endif if (nn < 2) return; @@ -85,8 +78,6 @@ void tablesixstepfft(fcomplex * indata, long nn, int isign) /* then do n2 transforms of length n1 */ -#if defined USEFFTW - /* Use FFTW for the small transforms if available. */ if (n1 == lastn && isign == lastisign) { @@ -107,18 +98,6 @@ void tablesixstepfft(fcomplex * indata, long nn, int isign) } fftwf_execute(plan); -#else - - table = maketable(n1, 1); - for (kk = 0; kk < n2; kk++) { - p1 = (float *) (indata + kk * n1); - tablesplitfftraw(p1, table, n1, isign); - fft_scramble(p1, n1); - } - vect_free(table); - -#endif - /* transpose the matrix */ transpose_fcomplex(indata, n2, n1, move, move_size); @@ -147,8 +126,6 @@ void tablesixstepfft(fcomplex * indata, long nn, int isign) /* then do n1 transforms of length n2 */ -#if defined USEFFTW - /* Use FFTW for the small transforms if available. */ if (n2 == lastn && isign == lastisign) { @@ -166,18 +143,6 @@ void tablesixstepfft(fcomplex * indata, long nn, int isign) } fftwf_execute(plan); -#else - - table = maketable(n2, 1); - for (kk = 0; kk < n1; kk++) { - p1 = (float *) (indata + kk * n2); - tablesplitfftraw(p1, table, n2, isign); - fft_scramble(p1, n2); - } - vect_free(table); - -#endif - // Comment this out so it matches FFTW // Scale the FFT if it is an inverse FFT //if (isign == 1) { diff --git a/src/fftcalls.c b/src/fftcalls.c index 1966bc972..1ecc6c35b 100644 --- a/src/fftcalls.c +++ b/src/fftcalls.c @@ -2,8 +2,6 @@ #include "stdint.h" #include -#if defined USEFFTW - // Following gives the same as FFTW's fftwf_alignment_of when // BYTE_COUNT = 16, which is what we need for SSE. // 0 means that it is aligned on BYTE_COUNT boundaries @@ -153,34 +151,3 @@ void fftwcall(fcomplex * indata, long nn, int isign) } firsttime = 0; } - - -#elif defined USESGIFFT - - -void sgifftcall(fcomplex * indata, long nn, int isign) -{ - int expon; - double fracpart; - static complex *coeff[30]; - - /* Determine the twoth power of the length of the data */ - - fracpart = frexp((double) nn, &expon); - expon--; - - /* If we are calling using an nn we haven't seen before */ - - if (coeff[expon] == NULL) { - - /* Allocate coefficient array */ - - coeff[expon] = cfft1di(nn, NULL); - - } - /* Do the FFT */ - - cfft1d(isign, nn, (complex *) indata, 1, coeff[expon]); -} - -#endif From 2090f20a5cfecb671d4b8e8f30eca556a09091a0 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Tue, 19 Nov 2019 18:09:56 -0500 Subject: [PATCH 142/146] Comment out python tests as one needs TEMPO installed --- .travis/py2.docker | 2 +- .travis/py3.docker | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.travis/py2.docker b/.travis/py2.docker index b774425b8..aaaa9f4de 100644 --- a/.travis/py2.docker +++ b/.travis/py2.docker @@ -21,4 +21,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip install /code -RUN python tests/test_presto_python.py +# RUN python tests/test_presto_python.py diff --git a/.travis/py3.docker b/.travis/py3.docker index 99fa3cf86..8deb0f9d7 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -20,4 +20,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip3 install /code -RUN python3 tests/test_presto_python.py +# RUN python3 tests/test_presto_python.py From 76d06620f6c0209002f3bae1033d00bbaea8c619 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Wed, 20 Nov 2019 10:16:35 -0500 Subject: [PATCH 143/146] Make TEMPO-based test dependent on TEMPO environment variable being present --- .travis/py2.docker | 2 +- .travis/py3.docker | 2 +- tests/test_presto_python.py | 18 ++++++++++++------ 3 files changed, 14 insertions(+), 8 deletions(-) diff --git a/.travis/py2.docker b/.travis/py2.docker index aaaa9f4de..b774425b8 100644 --- a/.travis/py2.docker +++ b/.travis/py2.docker @@ -21,4 +21,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip install /code -# RUN python tests/test_presto_python.py +RUN python tests/test_presto_python.py diff --git a/.travis/py3.docker b/.travis/py3.docker index 8deb0f9d7..99fa3cf86 100644 --- a/.travis/py3.docker +++ b/.travis/py3.docker @@ -20,4 +20,4 @@ WORKDIR /code/src RUN make libpresto slalib WORKDIR /code RUN pip3 install /code -# RUN python3 tests/test_presto_python.py +RUN python3 tests/test_presto_python.py diff --git a/tests/test_presto_python.py b/tests/test_presto_python.py index e5c22f039..d0b580771 100644 --- a/tests/test_presto_python.py +++ b/tests/test_presto_python.py @@ -158,9 +158,15 @@ assert(round(160334.960*presto.ARCSEC2RAD-ang, 7)==0) print("success") -print("Testing get_baryv (barycenter)...", end=' ') -vavg1 = presto.get_baryv("18:24:32.9520", "-24:52:12.0000", - 56421.44222222222222, 214.5386496, obs="GB") -vavg2 = -7.2069293455783169e-05 -assert(round(vavg1-vavg2, 10)==0) -print("success") +# Only run this test if TEMPO is available +envval = os.getenv("TEMPO") +if envval is not None: + print("Testing get_baryv (barycenter)...", end=' ') + vavg1 = presto.get_baryv("18:24:32.9520", "-24:52:12.0000", + 56421.44222222222222, 214.5386496, obs="GB") + vavg2 = -7.2069293455783169e-05 + assert(round(vavg1-vavg2, 10)==0) + print("success") +else: + print("Skipping test of presto.get_baryv() since TEMPO not set.") + From f77e73d8adb92e2a4a8e62ca82d616768f783f7d Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Wed, 20 Nov 2019 16:34:48 -0500 Subject: [PATCH 144/146] Updated README.md, INSTALL, and setup.py for v3.0 release --- INSTALL | 65 ++++++++++++++++++++++++---------------------- README.md | 78 +++++++++++++++++++++++++++++++++++++++++-------------- setup.py | 2 +- 3 files changed, 94 insertions(+), 51 deletions(-) diff --git a/INSTALL b/INSTALL index 935dd76c6..c6d7eef75 100644 --- a/INSTALL +++ b/INSTALL @@ -15,10 +15,9 @@ Basic steps to install: If you are on a modern Intel processor and have a recent version of GCC, you can get much improved performance by adding: - --enable-sse2 --enable-avx + --enable-sse --enable-sse2 --enable-avx --enable-avx2 --enable-fma - Note that Ubuntu has good FFTW packages now (libfftw3-bin and - libfftw3-dev). + Ubuntu has good FFTW packages: libfftw3-bin and libfftw3-dev 2. Install PGPLOT. http://www.astro.caltech.edu/~tjp/pgplot/ You need the X-windows and postscript drivers at a minimum. @@ -29,7 +28,7 @@ Basic steps to install: environment variable specified to allow the programs to link and to allow PGPLOT to find its important files. - Note that Ubuntu has good PGPLOT packages now (pgplot5). + Ubuntu has a good PGPLOT package: pgplot5 3. Install TEMPO. Make sure to set the TEMPO environment variable. http://tempo.sourceforge.net/ @@ -50,8 +49,7 @@ Basic steps to install: a pulsar data standard that external tools can actually view! How about that!) - Once again, Ubuntu has CFITSIO packages (libcfitsio3 and - libcfitsio3-dev)! + Ubuntu has CFITSIO packages: libcfitsio3 and libcfitsio3-dev 6. Define the PRESTO environment variable to the top level directory of the PRESTO distribution (i.e. this directory). @@ -75,7 +73,7 @@ Basic steps to install: you will need to do a 'make mpi' as well. 11. The required libraries and miscellaneous files will be - located in $PRESTO/lib. The executable will be in $PRESTO/bin. + located in $PRESTO/lib. The executables will be in $PRESTO/bin. You may copy or move the executables wherever you like, but the library files should stay put. (That's why you define the PRESTO variable -- so the routines can find them). @@ -83,7 +81,9 @@ Basic steps to install: Since dynamic linking will use $PRESTO/lib, you will need to make sure that that is in your LD_LIBRARY_PATH environment variable (or in some other way let your system know where to find the dynamic - libraries). Similarly, you will want $PRESTO/bin in your PATH. + libraries). Similarly, you will want $PRESTO/bin in your PATH, or + you can copy/link all of the files that are in $PRESTO/bin to + somewhere in your path. 12. If you want to save some disk space, do a 'make clean' in the 'src' directory. This will leave the libraries and @@ -92,21 +92,27 @@ Basic steps to install: 13. If you want to use all the python routines (which if you are doing anything but the most rudimentary analyses you will want - to), you need Python >= version 2.7, and Numpy/Scipy + to), you need Python >= version 2.7 or >= 3.6, and Numpy/Scipy http://www.numpy.org and http://www.scipy.org In general, the following should work: - "cd $PRESTO/python ; make ; make fftfit" - If it doesnt, you will probably need to edit the Makefile - or setup.py (one problem that is common is that ppgplot_libraries - sometimes needs "gfortran" added...). Note that in order to - get python to find the modules and libraries, you should make - sure that your PYTHONPATH environment variable contains the - directory $PRESTO/lib/python. + "cd $PRESTO ; pip install ." + if you are using a virtual environment or have permissions for + installing normal Python packages. If not, you may need to + install as an administrator or with the "--user" flag. With + this new and better Python installation you do *not* need + to set the PYTHONPATH environment variable anymore and so you + should ensure that it doesn't contain $PRESTO/lib/python as in + the past. + + If you want to test some of the Python code (especially the + trickiest bits to get compiled and installed), you can run: + "python tests/test_presto_python.py" + and you should get a bunch of tests and a bunch of "success"es. 14. Go find pulsars! Scott Ransom -July 2019 +November 2019 ----------------------------------------------------------------- @@ -120,17 +126,19 @@ compiling and running: -- Is TEMPO set to the top-level TEMPO source directory? -- Is PGPLOT_DIR set to the location of the PGPLOT utility files? (Note: On Ubuntu, that should be /usr/lib/pgplot5) - -- Is $PRESTO/bin in your PATH? - -- Is $PRESTO/lib in your LD_LIBRARY_PATH? - -- Is $PRESTO/lib/python in your PYTHONPATH? + -- Is $PRESTO/bin in your PATH? (It should be!) + -- Is $PRESTO/lib in your LD_LIBRARY_PATH? (It should be!) + -- Is $PRESTO/lib/python in your PYTHONPATH? (It shouldn't be now!) 2. Have you have installed the relevant -dev packages for glib2, FFTW and CFITSIO if you are using a Debian-based Linux distribution? Here are the required packages: + gfortran pgplot5 - libcfitsio3-dev + libcfitsio-dev libfftw3-dev - libpng12-dev + libpng-dev + libx11-dev libglib2.0-dev 3. If you are using a Mac, Paul Ray has been running PRESTO a lot and @@ -150,15 +158,10 @@ compiling and running: src/backend_common.c For python, you will need to install numpy, scipy, etc. using - MacPorts or pip, as you prefer. Currently this must be Python 2.7, - but soon PRESTO will switch to Python 3.6 or later. + MacPorts or pip, as you prefer. - Next, edit python/Makefile to make sure that the version of f2py - you have installed is called. Instead of f2py, you may need to - call f2py-2.7, for example. - - Finally, in python/setup.py add "/opt/local/include" to - include_dirs. + Finally, in $PRESTO/setup.py you might need to add + "/opt/local/include" to the include_dirs. Then, just follow the PRESTO installation instructions (cd src; - make; make makewisdom; cd ../python ; make) + make; make makewisdom; cd .. ; pip install .) diff --git a/README.md b/README.md index 50c6baf0d..37f16e293 100644 --- a/README.md +++ b/README.md @@ -3,19 +3,65 @@ http://www.cv.nrao.edu/~sransom/presto/ PRESTO is a large suite of pulsar search and analysis software -developed by Scott Ransom mostly from scratch, and released under the -GPL (v2). It was primarily designed to efficiently search for binary -millisecond pulsars from long observations of globular clusters -(although it has since been used in several surveys with short -integrations and to process a lot of X-ray data as well). It is -written primarily in ANSI C, with many of the recent routines in +developed primarily by Scott Ransom mostly from scratch, and released +under the GPL (v2). It was primarily designed to efficiently search +for binary millisecond pulsars from long observations of globular +clusters (although it has since been used in several surveys with +short integrations and to process a lot of X-ray data as well). It +is written primarily in ANSI C, with many of the recent routines in Python. According to Steve Eikenberry, PRESTO stands for: PulsaR Exploration and Search TOolkit! -**PRESTO has discovered over 600 pulsars, including more than 230 +**PRESTO has discovered over 700 pulsars, including almost 300 recycled and/or binary pulsars!** -## New in Version 2.1: +## New in Version 3.0: + * This major release of PRESTO includes a massive restructuring + of python code and capabilities. Things should work with Python + versions 2.7 and Python 3.6 and 3.7 at least. The installation + of the python code has changed and has become more "pythonic" + so that PYTHONPATH is not needed, and all of the various modules + are now under a top-level "presto" module. For example, to + use the psr_utils module you would now do: + + import presto.psr_utils as pu + + rather than + + import psr_utils as pu + + All of these changes will likely lead to code breakage and bugs! + + Please check your code and processing carefully and post issues + (and hopefully pull requests) if you find them. + + The installation instructions have been updated in the INSTALL file. + + Huge thanks thanks go to **Gijs Molenaar, Matteo Bachetti, and + Paul Ray** for the work that they have done helping with this! + + * There is also a new "examplescripts" directory where you will + find some example code to do a lot of important things, like + * Fully dedispersing an observation: `dedisp.py` + * Fully searching a dedispersed observation: `full_analysis.py` + * Sifting the results of a full search: `ACCEL_sift.py` + * Searching short chunks of a long time series: `short_analysis_simple.py` + * Making a really nice P-Pdot plane: `ppdot_plane_plot.py` + * and a few others. + +## Status of Version 2.2: + * Version 2.2 was the last version of PRESTO to work with the + old-style python interface which requires Python v2.7 or earlier + and is "installed" in-place and used via having $PRESTO/lib/python + in your PYTHONPATH. There will probably be occasional bug fixes + for v2.2 in the `v2.2maint` branch of PRESTO. You can get it + using: + + git checkout -b v2.2maint origin/v2.2maint + + and then installing as per the INSTALL file. + +## Improvements in Version 2.1: * `accelsearch` now has a "jerk" search capability (thanks to UVA undergrad Bridget Andersen for help with this!). This makes searches take a *lot* longer, but definitely improves sensitivity @@ -24,11 +70,6 @@ recycled and/or binary pulsars!** never need to set -zmax to anything larger than 300). * Ability to ignore bad channels on the command line (-ignorechan) (see `rfifind_stats.py` and `weights_to_ignorechan.py`) - * Lots of new python utilities (such as for handling RFI, showing - bandpasses, making waterfall plots, ...) - * New wrappers for the python interface (will make the transition - to Python 3.X much smoother later this year) - * Many bug fixes and minor improvements ## About PRESTO: PRESTO is written with portability, ease-of-use, and memory efficiency @@ -88,7 +129,7 @@ The Fourier-Domain acceleration search technique that PRESTO uses in the routine accelsearch is described in [Ransom, Eikenberry, and Middleditch (2002)](https://ui.adsabs.harvard.edu/abs/2002AJ....124.1788R/abstract), -the new "jerk" search capability is described in +the "jerk" search capability is described in [Andersen & Ransom (2018)](https://ui.adsabs.harvard.edu/abs/2018ApJ...863L..13A/abstract), and the phase-modulation search technique used by search_bin is described in [Ransom, Cordes, and Eikenberry @@ -117,7 +158,7 @@ To update it on a regular basis do cd $PRESTO git pull -and then re-make things in $PRESTO/src. +and then re-make things in $PRESTO/src. For more detailed installation instructions, see INSTALL. @@ -129,7 +170,6 @@ If you want the "classic" branch, do the following: git clone git://github.com/scottransom/presto.git cd presto - git remote add classic origin/classic git checkout -b classic origin/classic then build as per the (old) INSTALL file. @@ -163,8 +203,8 @@ to process BCPM, SCAMP, and Spigot data, Jason Hessels for many contributions to the Python routines, and (alphabetical): Bridget Andersen, Anne Archibald, Cees Bassa, Matteo Bachetti, Slavko Bogdanov, Fernando Camilo, Paul Demorest, Paulo Freire, Chen Karako, -Mike Keith, Patrick Lazarus, Maggie Livingstone, Chitrang Patel, Paul -Ray, Paul Scholz, Ingrid Stairs, Kevin Stovall, Joeri van Leeuwen for -many comments, suggestions and patches! +Mike Keith, Patrick Lazarus, Maggie Livingstone, Gijs Molenaar, +Chitrang Patel, Paul Ray, Paul Scholz, Ingrid Stairs, Kevin Stovall, +Joeri van Leeuwen for many comments, suggestions and patches! Scott Ransom diff --git a/setup.py b/setup.py index 2c896ebd8..a4c452792 100644 --- a/setup.py +++ b/setup.py @@ -7,7 +7,7 @@ import setuptools from numpy.distutils.core import Extension, setup -version = "2.2" +version = "3.0" define_macros = [] undef_macros = [] From e2c2a96b242fb94c58b42b286cf33b54632025e1 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Wed, 20 Nov 2019 16:45:42 -0500 Subject: [PATCH 145/146] Minor typesetting changes to README.md --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 37f16e293..0138961eb 100644 --- a/README.md +++ b/README.md @@ -23,12 +23,12 @@ recycled and/or binary pulsars!** so that PYTHONPATH is not needed, and all of the various modules are now under a top-level "presto" module. For example, to use the psr_utils module you would now do: - - import presto.psr_utils as pu - + + `import presto.psr_utils as pu` + rather than - import psr_utils as pu + `import psr_utils as pu` All of these changes will likely lead to code breakage and bugs! @@ -57,13 +57,13 @@ recycled and/or binary pulsars!** for v2.2 in the `v2.2maint` branch of PRESTO. You can get it using: - git checkout -b v2.2maint origin/v2.2maint + `git checkout -b v2.2maint origin/v2.2maint` and then installing as per the INSTALL file. ## Improvements in Version 2.1: - * `accelsearch` now has a "jerk" search capability (thanks to UVA - undergrad Bridget Andersen for help with this!). This makes + * `accelsearch` now has a "jerk" search capability (thanks to (then) + UVA undergrad Bridget Andersen for help with this!). This makes searches take a *lot* longer, but definitely improves sensitivity when the observation duration is 5-15% of the duration of the orbital period. Typically -wmax should be set to 3-5x -zmax (and you probably From f3c3f184bbf88af1e638e7dd0387f673bbc079f2 Mon Sep 17 00:00:00 2001 From: Scott Ransom Date: Wed, 20 Nov 2019 16:51:40 -0500 Subject: [PATCH 146/146] Some minor changes to the README.md --- README.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 0138961eb..be79f48fe 100644 --- a/README.md +++ b/README.md @@ -125,25 +125,25 @@ often required when working with pulsar data such as time conversions, Fourier transforms, time series and FFT exploration, byte-swapping, etc. -The Fourier-Domain acceleration search technique that PRESTO uses in -the routine accelsearch is described in [Ransom, Eikenberry, and -Middleditch +**References**: The Fourier-Domain acceleration search technique +that PRESTO uses in the routine `accelsearch` is described in +[Ransom, Eikenberry, and Middleditch (2002)](https://ui.adsabs.harvard.edu/abs/2002AJ....124.1788R/abstract), the "jerk" search capability is described in [Andersen & Ransom (2018)](https://ui.adsabs.harvard.edu/abs/2018ApJ...863L..13A/abstract), -and the phase-modulation search technique used by search_bin is described in +and the phase-modulation search technique used by `search_bin` is described in [Ransom, Cordes, and Eikenberry (2003)](https://ui.adsabs.harvard.edu/abs/2003ApJ...589..911R/abstract). Some other basic information about PRESTO can be found in my -[thesis](http://www.cv.nrao.edu/~sransom/ransom_thesis_2001.pdf). I -will eventually get around to finishing the documentation for PRESTO, -but until then you should know that each routine returns its basic -usage when you call it with no arguments. I am also willing to -provide limited support via email or telephone (434-296-0320). - -**Tutorial**: Note that in the "docs" directory there is a tutorial -which walks you through all the main steps of finding pulsars using -PRESTO. +[thesis](http://www.cv.nrao.edu/~sransom/ransom_thesis_2001.pdf). + +**Support/Docs**: I may eventually get around to finishing the +documentation for PRESTO, but until then you should know that each +routine returns its basic usage when you call it with no arguments. +I am also willing to provide limited support via email (see below). + +**Tutorial**: There is a tutorial in the "docs" directory which walks +you through all the main steps of finding pulsars using PRESTO. ## Getting it: The PRESTO source code is released under the GPL and