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Fix imports of TOP_DEF in STAR experiments
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Radonirinaunimi committed Oct 24, 2024
1 parent ad7ce9a commit 8b9d58e
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11 changes: 1 addition & 10 deletions nnpdf_data/nnpdf_data/commondata/STAR-2012_1JET_510GEV/filter.py
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import yaml

from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric
from nnpdf_data.filter_utils.poldata_utils import TOPO_DEF

# values from the paper https://arxiv.org/abs/1906.02740
SQRTS = 510
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HERE = pathlib.Path(__file__).parent
RAWDATA_PATH = HERE / "rawdata/"

# NOTE: the observable is symmetric for jet1 and jet2,
# so 1 and 2 are not ordered in pT.
TOPO_DEF = {
"A": {"abs_eta1_min": 0.3, "abs_eta1_max": 0.9, "abs_eta2_min": 0.3, "abs_eta2_max": 0.9},
"B": {"abs_eta1_min": 0, "abs_eta1_max": 0.3, "abs_eta2_min": 0.3, "abs_eta2_max": 0.9},
"C": {"abs_eta1_min": 0, "abs_eta1_max": 0.3, "abs_eta2_min": 0, "abs_eta2_max": 0.3},
"D": {"abs_eta1_min": 0.3, "abs_eta1_max": 0.9, "abs_eta2_min": 0.3, "abs_eta2_max": 0.9},
"I": {"abs_eta_min": 0, "abs_eta_max": 0.9},
}


def read_1jet_data():
data_table = pathlib.Path(RAWDATA_PATH / "Figure12(Run12).csv")
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import yaml

from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric
from nnpdf_data.new_commondata.STAR_2012_1JET_510GEV.filter import TOPO_DEF
from nnpdf_data.filter_utils.poldata_utils import TOPO_DEF

# values from the paper https://arxiv.org/pdf/2110.11020.pdf
SQRTS = 510
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