diff --git a/.github/workflows/BTA_workflow.yml b/.github/workflows/BTA_workflow.yml
index 9dd29337..660fd2f0 100644
--- a/.github/workflows/BTA_workflow.yml
+++ b/.github/workflows/BTA_workflow.yml
@@ -3,13 +3,24 @@ name: BTA output Workflows
 on:
   push:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/*BTA*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/BTA_workflow.yml'
   pull_request_target:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/*BTA*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/BTA_workflow.yml'
   workflow_dispatch:
 
 jobs:
   build:
     runs-on: ubuntu-latest
+    if: ${{ !contains(github.event.head_commit.message, '[skip ci]') }}
     strategy:
       max-parallel: 4
       matrix:
diff --git a/.github/workflows/ctag_DY_workflow.yml b/.github/workflows/ctag_DY_workflow.yml
index 098d7f7b..df36124c 100644
--- a/.github/workflows/ctag_DY_workflow.yml
+++ b/.github/workflows/ctag_DY_workflow.yml
@@ -3,13 +3,24 @@ name: ctag DY+jets Workflow
 on:
   push:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/ctag_*DY*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ctag_DY_workflow.yml'
   pull_request_target:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/ctag_*DY*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ctag_DY_workflow.yml'
   workflow_dispatch:
 
 jobs:
   build:
     runs-on: ubuntu-latest
+    if: ${{ !contains(github.event.head_commit.message, '[skip ci]') }}
     strategy:
       max-parallel: 4
       matrix:
@@ -87,9 +98,31 @@ jobs:
 
     - name: ctag muon DY workflows with correctionlib
       run: |
-        python runner.py --workflow ctag_DY_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray  --year 2022 --overwrite
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ctag_DY_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --year 2022 $opts
     
 
     - name: ctag electron DY workflows with correctionlib
       run: |
-        python runner.py --workflow ectag_DY_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray --year 2022 --overwrite
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ectag_DY_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --year 2022 $opts
diff --git a/.github/workflows/ctag_Wc_workflow.yml b/.github/workflows/ctag_Wc_workflow.yml
index e18b38c1..a268aefc 100644
--- a/.github/workflows/ctag_Wc_workflow.yml
+++ b/.github/workflows/ctag_Wc_workflow.yml
@@ -3,13 +3,26 @@ name: ctag W+c Workflow
 on:
   push:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/ctag_*Wc*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ctag_Wc_workflow.yml'
+    
   pull_request_target:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/ctag_*Wc*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ctag_Wc_workflow.yml'
+   
   workflow_dispatch:
 
 jobs:
   build:
     runs-on: ubuntu-latest
+    if: ${{ !contains(github.event.head_commit.message, '[skip ci]') }}
     strategy:
       max-parallel: 4
       matrix:
@@ -52,7 +65,7 @@ jobs:
         conda info
         conda env list
         conda list
-        
+    
     - name: Set up proxy
       # https://awesome-workshop.github.io/gitlab-cms/03-vomsproxy/index.html
       # continue-on-error: true
@@ -89,8 +102,30 @@ jobs:
 
     - name: ctag muon W+c workflows with correctionlib
       run: |
-        python runner.py --workflow ctag_Wc_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative  --campaign Summer22Run3  --isSyst all --isArray  --overwrite
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ctag_Wc_sf --json metadata/test_bta_run3.json   --campaign Summer22Run3 --executor iterative  $opts
     
     - name: ctag electron W+c workflows with correctionlib
       run: |
-        python runner.py --workflow ectag_Wc_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative  --campaign Summer22Run3  --isSyst all --isArray --overwrite
\ No newline at end of file
+        message=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ectag_Wc_sf --json metadata/test_bta_run3.json --executor iterative  --campaign Summer22Run3   --overwrite $opts
\ No newline at end of file
diff --git a/.github/workflows/ctag_ttbar_workflow.yml b/.github/workflows/ctag_ttbar_workflow.yml
new file mode 100644
index 00000000..50fd28de
--- /dev/null
+++ b/.github/workflows/ctag_ttbar_workflow.yml
@@ -0,0 +1,172 @@
+name: ctag ttbar workflows
+
+on:
+  push:
+    branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/ctag*tt*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ctag_ttbar_workflow.yml'
+  pull_request_target:
+    branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/ctag*tt*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ctag_ttbar_workflow.yml'
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    if: ${{ !contains(github.event.head_commit.message, '[skip ci]') }}
+    strategy:
+      max-parallel: 4
+      matrix:
+        python-version: ["3.8","3.10"]
+    
+    defaults:
+      run:
+        shell: "bash -l {0}"
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: update submodules
+      env:
+        SSHKEY: ${{ secrets.GIT_CERN_SSH_PRIVATE }}
+      run: |
+        mkdir  $HOME/.ssh
+        echo "$SSHKEY" > $HOME/.ssh/id_rsa
+        chmod 600  $HOME/.ssh/id_rsa
+        echo "HOST *" > ~/.ssh/config
+        echo "StrictHostKeyChecking no" >> ~/.ssh/config
+        git submodule update --init --recursive 
+    - uses: cvmfs-contrib/github-action-cvmfs@v2
+      with:
+        cvmfs_repositories: 'grid.cern.ch'
+
+    - name: Set conda environment
+      uses: conda-incubator/setup-miniconda@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+        miniforge-variant: Mambaforge
+        channels: conda-forge,defaults
+        channel-priority: true
+        activate-environment: btv_coffea
+        environment-file: test_env.yml
+        auto-activate-base: false
+
+    - name: Verify environment
+      run: |
+        conda info
+        conda env list
+        conda list
+        
+    - name: Set up proxy
+      # https://awesome-workshop.github.io/gitlab-cms/03-vomsproxy/index.html
+      # continue-on-error: true
+      env:
+        # To genereate secrets use (strip all \n)
+        # base64 -i ~/.globus/usercert.pem | awk NF=NF RS= OFS=
+        # base64 -i ~/.globus/userkey.pem | awk NF=NF RS= OFS=
+        # Cross check roundtrip by adding ``| base64 -d `` and see if same as input
+        GRID_USERKEY: ${{ secrets.GRID_USERKEY }}
+        GRID_USERCERT: ${{ secrets.GRID_USERCERT }}
+        # Read automatically by voms-proxy-init
+        X509_VOMS_DIR: /cvmfs/grid.cern.ch/etc/grid-security/vomsdir/
+        X509_VOMSES: /cvmfs/grid.cern.ch/etc/grid-security/vomses/
+        X509_DEFAULT_USER_CERT: $HOME/.globus/usercert.pem
+        X509_DEFAULT_USER_KEY: $HOME/.globus/userkey.pem
+      run: |
+        mkdir $HOME/.globus
+        printf $GRID_USERKEY | base64 -d > $HOME/.globus/userkey.pem
+        printf $GRID_USERCERT | base64 -d > $HOME/.globus/usercert.pem
+        # DEBUG: dump decoded cert, cert is public, but don't dump key!
+        # base64 -i $HOME/.globus/usercert.pem
+        chmod 400 $HOME/.globus/userkey.pem
+        openssl rand -out $HOME/.rnd  -hex 256
+        printf "${{secrets.GRID_PASSWORD}}" | voms-proxy-init --voms cms --vomses ${X509_VOMSES} --debug --pwstdin
+        
+    - name: Test xrootd
+      run: |
+        xrdcp root://eoscms.cern.ch//eos/cms/store/group/phys_btag/nano-commissioning/test_w_dj.root .
+      
+    - name: Install Repo
+      run: |
+        pip install -e .
+
+    
+    - name: ctag semileptonic muon ttbar workflows with correctionlib
+      run: |
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ctag_ttsemilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
+    
+    - name: ctag semileptonic electron ttbar workflows with correctionlib
+      run: |
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi 
+        python runner.py --workflow ectag_ttsemilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
+    
+    - name: ctag dileptonic muon ttbar workflows with correctionlib
+      run: |
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi 
+        python runner.py --workflow ctag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
+    - name: ctag dileptonic electron ttbar workflows with correctionlib 
+      run: |
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ectag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
+    - name: ctag dileptonic emu ttbar workflows with correctionlib
+      run: |
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow emctag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
+
diff --git a/.github/workflows/ttbar_DL_workflow.yml b/.github/workflows/ttbar_DL_workflow.yml
deleted file mode 100644
index 01cb900c..00000000
--- a/.github/workflows/ttbar_DL_workflow.yml
+++ /dev/null
@@ -1,101 +0,0 @@
-name: ttbar dileptonic Workflows
-
-on:
-  push:
-    branches: [ master ]
-  pull_request_target:
-    branches: [ master ]
-  workflow_dispatch:
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      max-parallel: 4
-      matrix:
-        python-version: ["3.8","3.10"]
-    
-    defaults:
-      run:
-        shell: "bash -l {0}"
-
-    steps:
-    - uses: actions/checkout@v2
-    - name: update submodules
-      env:
-        SSHKEY: ${{ secrets.GIT_CERN_SSH_PRIVATE }}
-      run: |
-        mkdir  $HOME/.ssh
-        echo "$SSHKEY" > $HOME/.ssh/id_rsa
-        chmod 600  $HOME/.ssh/id_rsa
-        echo "HOST *" > ~/.ssh/config        
-        echo "StrictHostKeyChecking no" >> ~/.ssh/config
-        git submodule update --init --recursive 
-    - uses: cvmfs-contrib/github-action-cvmfs@v2
-      with:
-        cvmfs_repositories: 'grid.cern.ch'
-
-    - name: Set conda environment
-      uses: conda-incubator/setup-miniconda@v2
-      with:
-        python-version: ${{ matrix.python-version }}
-        miniforge-variant: Mambaforge
-        channels: conda-forge,defaults
-        channel-priority: true
-        activate-environment: btv_coffea
-        environment-file: test_env.yml
-        auto-activate-base: false
-
-    - name: Verify environment
-      run: |
-        conda info
-        conda env list
-        conda list
-        
-    - name: Set up proxy
-      # https://awesome-workshop.github.io/gitlab-cms/03-vomsproxy/index.html
-      # continue-on-error: true
-      env:
-        # To genereate secrets use (strip all \n)
-        # base64 -i ~/.globus/usercert.pem | awk NF=NF RS= OFS=
-        # base64 -i ~/.globus/userkey.pem | awk NF=NF RS= OFS=
-        # Cross check roundtrip by adding ``| base64 -d `` and see if same as input
-        GRID_USERKEY: ${{ secrets.GRID_USERKEY }}
-        GRID_USERCERT: ${{ secrets.GRID_USERCERT }}
-        # Read automatically by voms-proxy-init
-        X509_VOMS_DIR: /cvmfs/grid.cern.ch/etc/grid-security/vomsdir/
-        X509_VOMSES: /cvmfs/grid.cern.ch/etc/grid-security/vomses/
-        X509_DEFAULT_USER_CERT: $HOME/.globus/usercert.pem
-        X509_DEFAULT_USER_KEY: $HOME/.globus/userkey.pem
-      run: |
-        mkdir $HOME/.globus
-        printf $GRID_USERKEY | base64 -d > $HOME/.globus/userkey.pem
-        printf $GRID_USERCERT | base64 -d > $HOME/.globus/usercert.pem
-        # DEBUG: dump decoded cert, cert is public, but don't dump key!
-        # base64 -i $HOME/.globus/usercert.pem
-        chmod 400 $HOME/.globus/userkey.pem
-        openssl rand -out $HOME/.rnd  -hex 256
-        printf "${{secrets.GRID_PASSWORD}}" | voms-proxy-init --voms cms --vomses ${X509_VOMSES} --debug --pwstdin
-        
-    - name: Test xrootd
-      run: |
-        xrdcp root://eoscms.cern.ch//eos/cms/store/group/phys_btag/nano-commissioning/test_w_dj.root .
-      
-    - name: Install Repo
-      run: |
-        pip install -e .
-
-    - name: btag dileptonic ttbar workflows with correctionlib
-      run: |
-        python runner.py --workflow ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray --overwrite 
-    
-    - name: ctag dileptonic muon ttbar workflows with correctionlib
-      run: |
-        python runner.py --workflow ctag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray  --overwrite
-    - name: ctag dileptonic electron ttbar workflows with correctionlib 
-      run: |
-        python runner.py --workflow ectag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray  --overwrite 
-    - name: ctag dileptonic emu ttbar workflows with correctionlib
-      run: |
-        python runner.py --workflow emctag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray --overwrite  
-        
diff --git a/.github/workflows/ttbar_SL_workflow.yml b/.github/workflows/ttbar_workflow.yml
similarity index 62%
rename from .github/workflows/ttbar_SL_workflow.yml
rename to .github/workflows/ttbar_workflow.yml
index 0e63a796..d3a2e7d7 100644
--- a/.github/workflows/ttbar_SL_workflow.yml
+++ b/.github/workflows/ttbar_workflow.yml
@@ -1,15 +1,26 @@
-name: ttbar semileptonic Workflows
+name: ttbar bSF semileptonic/dileptonic Workflows
 
 on:
   push:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/tt*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ttbar_workflow.yml'
   pull_request_target:
     branches: [ master ]
+    paths:
+    - 'src/BTVNanoCommissioning/workflows/tt*'
+    - 'src/BTVNanoCommissioning/helpers/*'
+    - 'src/BTVNanoCommissioning/utils/*'
+    - '.github/workflows/ttbar_workflow.yml'
   workflow_dispatch:
 
 jobs:
   build:
     runs-on: ubuntu-latest
+    if: ${{ !contains(github.event.head_commit.message, '[skip ci]') }}
     strategy:
       max-parallel: 4
       matrix:
@@ -87,13 +98,32 @@ jobs:
 
     - name:  btag semileptonic ttbar workflows with correctionlib
       run: |
-        python runner.py --workflow ttsemilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray  --overwrite
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ttsemilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
     
-    - name: ctag semileptonic muon ttbar workflows with correctionlib
-      run: |
-        python runner.py --workflow ctag_ttsemilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray --overwrite 
     
-    - name: ctag semileptonic electron ttbar workflows with correctionlib
+    - name: btag dileptonic ttbar workflows with correctionlib
       run: |
-        python runner.py --workflow ectag_ttsemilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3  --isSyst all --isArray  --overwrite
+        string=$(git log -1 --pretty=format:'%s')
+        if [[ $string == *"ci:skip array"* ]]; then
+        opts=$(echo "$opts" | sed 's/--isArray //g')
+        fi
+        if [[ $string == *"ci:skip syst"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all//g')
+        elif [[ $string == *"ci:JERC_split"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst JERC_split/g')
+        elif [[ $string == *"ci:weight_only"* ]]; then
+            opts=$(echo "$opts" | sed 's/--isSyst all/--isSyst weight_only/g') 
+        fi
+        python runner.py --workflow ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 $opts
 
diff --git a/README.md b/README.md
index eff334aa..ddfd86bf 100644
--- a/README.md
+++ b/README.md
@@ -494,12 +494,15 @@ You can specify `-v all` to plot all the variables in the `coffea` file, or use
 
 :new: non-uniform rebinning is possible, specify the bins with  list of edges `--autorebin 50,80,81,82,83,100.5`
 
+```bash
+python scripts/plotdataMC.py -i a.coffea,b.coffea --lumi 41500 -p ttdilep_sf -v z_mass,z_pt  
+python scripts/plotdataMC.py -i "test*.coffea" --lumi 41500 -p ttdilep_sf -v z_mass,z_pt # with wildcard option need ""
+```
+
 <details><summary>more arguments</summary>
 <p>
 
 ```
-python plotdataMC.py -i a.coffea,b.coffea --lumi 41500 -p ttdilep_sf -v z_mass,z_pt 
-python plotdataMC.py -i "test*.coffea" --lumi 41500 -p ttdilep_sf -v z_mass,z_pt 
 
 options:
   -h, --help            show this help message and exit
@@ -537,13 +540,18 @@ options:
 You can specify `-v all` to plot all the variables in the `coffea` file, or use wildcard options (e.g. `-v "*DeepJet*"` for the input variables containing `DeepJet`)
 :exclamation_mark: If using wildcard for input, do not forget the quoatation marks! (see 2nd example below)
 
-<details><summary>more arguments</summary>
-<p>
+```bash
+# with merge map, compare ttbar with data
+python scripts/comparison.py -i "*.coffea" --mergemap '{"ttbar": ["TTto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8","TTto4Q_TuneCP5_13p6TeV_powheg-pythia8","TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8],"data":["MuonRun2022C-27Jun2023-v1","MuonRun2022D-27Jun2023-v1"]}' -r ttbar -c data -v mu_pt  -p ttdilep_sf
+# if no  mergemap, take the key name directly
+python scripts/comparison.py -i datac.coffea,datad.coffea -r MuonRun2022C-27Jun2023-v1 -c MuonRun2022D-27Jun2023-v1 -v mu_pt  -p ttdilep_sf
 
 ```
-python comparison.py -i a.coffea,b.coffea -p ttsemilep_sf -r SingleMuon_Run2017B-106X_PFNanov1 -c DYJetsToLL_M-50_TuneCP5_13TeV-madgraphMLM-pythia8 -v DeepJet_Cpfcan_BtagPf_trackJetDistVal_0 --shortref Run2017B --shortcomp DYJets (--sepflav True/False)
-python comparison.py -i "test*.coffea" -p ttsemilep_sf -r SingleMuon_Run2017B-106X_PFNanov1 -c DYJetsToLL_M-50_TuneCP5_13TeV-madgraphMLM-pythia8 -v DeepJet_Cpfcan_BtagPf_trackJetDistVal_0 --shortref Run2017B --shortcomp DYJets (--sepflav True/False)
 
+<details><summary>more arguments</summary>
+<p>
+
+ ```
 options:
   -h, --help            show this help message and exit
   -p {dilep_sf,ttsemilep_sf,ctag_Wc_sf,ctag_DY_sf,ctag_ttsemilep_sf,ctag_ttdilep_sf}, --phase {dilep_sf,ttsemilep_sf,ctag_Wc_sf,ctag_DY_sf,ctag_ttsemilep_sf,ctag_ttdilep_sf}
@@ -559,9 +567,8 @@ options:
                         variables to plot, splitted by ,. Wildcard option * available as well. Specifying `all` will run through all variables.
   --ext EXT             prefix name
   --com COM             sqrt(s) in TeV
-  --shortref SHORTREF   short name for reference dataset for legend
-  --shortcomp SHORTCOMP
-                        short names for compared datasets for legend, split by ','
+  --mergemap MERGEMAP
+                        Group list of sample(keys in coffea) as reference/compare set as dictionary format. Keys would be the new lables of the group
    --autorebin AUTOREBIN
                         Rebin the plotting variables, input `int` or `list`. int: merge N bins. list of number: rebin edges(non-uniform bin is possible)
    --xlabel XLABEL      rename the label for x-axis
@@ -633,8 +640,20 @@ Yout can find the secret configuration in the direcotry : `Settings>>Secrets>>Ac
   1. Create a ssh key pair with `ssh-keygen -t rsa -b 4096` (do not overwrite with your local one), add the public key to your CERN gitlab account
   2. Copy the private key to the entry
 - `GRID_PASSWORD`: Add your grid password to the entry.
-- `GRID_USERCERT` & `GRID_USERKEY`:  Encrypt your grid user certification `base64 -i ~/.globus/userkey.pem` and `base64 -i ~/.globus/usercert.pem` and copy the output to the entry. 
+- `GRID_USERCERT` & `GRID_USERKEY`:  Encrypt your grid user certification `base64 -i ~/.globus/userkey.pem | awk NF=NF RS= OFS=` and `base64 -i ~/.globus/usercert.pem | awk NF=NF RS= OFS=` and copy the output to the entry. 
 
+Special commit head messages could run different commands in actions (add the flag in front of your commit)
+The default configureation is doing 
+```
+python runner.py --workflow emctag_ttdilep_sf --json metadata/test_bta_run3.json --limit 1 --executor iterative --campaign Summer22Run3 --isArray --isSyst all
+```
+
+- `[skip ci]`: not running ci at all in the commit message
+- `ci:skip array` : remove `--isArray` option
+- `ci:skip syst` : remove `--isSyst all` option
+- `ci:JERC_split` : change systematic option to split JERC uncertainty sources `--isSyst JERC_split`
+- `ci:weight_only` : change systematic option to weight only variations `--isSyst weight_only`
+ 
 ### Running jupyter remotely
 1. On your local machine, edit `.ssh/config`:
 ```
@@ -654,4 +673,3 @@ Host *_f
 jupyter notebook --ip=127.0.0.1 --port 8800 --no-browser
 ```
 4. URL for notebook will be printed, copy and open in local browser
-
diff --git a/condor/execute.sh b/condor/execute.sh
index 7eb13e14..5da7a440 100755
--- a/condor/execute.sh
+++ b/condor/execute.sh
@@ -32,7 +32,7 @@ fi
 
 # Get arguments
 declare -A ARGS
-for key in workflow output samplejson year campaign isCorr isSyst isJERC isArray noHist overwrite voms chunk retries outputXrootdDir remoteRepo; do
+for key in workflow output samplejson year campaign isSyst isArray noHist overwrite voms chunk skipbadfiles outputXrootdDir remoteRepo; do
     ARGS[$key]=$(jq -r ".$key" $WORKDIR/arguments.json)
 done
 
@@ -58,11 +58,11 @@ pip install psutil
 python -c "import json; json.dump(json.load(open('$WORKDIR/split_samples.json'))['$JOBID'], open('sample.json', 'w'), indent=4)"
 
 # Unparse arguments and send to runner.py
-OPTS="--wf ${ARGS[workflow]} --year ${ARGS[year]} --campaign ${ARGS[campaign]} --chunk ${ARGS[chunk]} --retries ${ARGS[retries]}"
+OPTS="--wf ${ARGS[workflow]} --year ${ARGS[year]} --campaign ${ARGS[campaign]} --chunk ${ARGS[chunk]}"
 if [ "${ARGS[voms]}" != "null" ]; then
     OPTS="$OPTS --voms ${ARGS[voms]}"
 fi
-for key in isCorr isSyst isJERC isArray noHist overwrite; do
+for key in  isSyst isArray noHist overwrite skipbadfiles; do
     if [ "${ARGS[$key]}" == true ]; then
         OPTS="$OPTS --$key"
     fi
@@ -78,12 +78,17 @@ python runner.py $OPTS
 
 # Transfer output
 if [[ ${ARGS[outputXrootdDir]} == root://* ]]; then
-    xrdcp --silent -p -f *.coffea ${ARGS[outputXrootdDir]}/
-    xrdcp --silent -p -f *.root ${ARGS[outputXrootdDir]}/
+
+    xrdcp --silent -p -f -r hists_* ${ARGS[outputXrootdDir]}/
+    if [[ "$OPTS" == *"isArray"* ]]; then
+	xrdcp --silent -p -f -r arrays_* ${ARGS[outputXrootdDir]}/
+    fi
 else
     mkdir -p ${ARGS[outputXrootdDir]}
-    cp -p -f *.coffea ${ARGS[outputXrootdDir]}/
-    cp -p -f *.root ${ARGS[outputXrootdDir]}/
+    cp -p -f -r hists_* ${ARGS[outputXrootdDir]}/
+    if [[ "$OPTS" == *"isArray"* ]]; then
+	cp -p -f -r arrays_* ${ARGS[outputXrootdDir]}/
+    fi
 fi
 
 ### one can also consider origanizing the root files in the subdirectory structure ###
diff --git a/condor/submitter.py b/condor/submitter.py
index aaf99ecf..8ae104fd 100644
--- a/condor/submitter.py
+++ b/condor/submitter.py
@@ -81,7 +81,6 @@ def get_main_parser():
         ],
         help="Dataset campaign, change the corresponding correction files",
     )
-    parser.add_argument("--isCorr", action="store_true", help="Run with SFs")
     parser.add_argument(
         "--isSyst",
         default=None,
@@ -89,17 +88,20 @@ def get_main_parser():
         choices=[None, "all", "weight_only", "JERC_split"],
         help="Run with systematics, all, weights_only(no JERC uncertainties included),JERC_split, None",
     )
-    parser.add_argument(
-        "--isJERC", action="store_true", help="JER/JEC implemented to jet"
-    )
     parser.add_argument("--isArray", action="store_true", help="Output root files")
+
     parser.add_argument(
         "--noHist", action="store_true", help="Not output coffea histogram"
     )
     parser.add_argument(
         "--overwrite", action="store_true", help="Overwrite existing files"
     )
-
+    parser.add_argument(
+        "--only",
+        type=str,
+        default=None,
+        help="Only  process/skip part of the dataset. By input list of file",
+    )
     parser.add_argument(
         "--voms",
         default=None,
@@ -114,13 +116,7 @@ def get_main_parser():
         metavar="N",
         help="Number of events per process chunk",
     )
-    parser.add_argument(
-        "--retries",
-        type=int,
-        default=25,
-        metavar="N",
-        help="Number of retries for coffea processor",
-    )
+    parser.add_argument("--skipbadfiles", action="store_true", help="Skip bad files.")
     parser = get_condor_submitter_parser(parser)
     return parser
 
@@ -182,7 +178,20 @@ def get_main_parser():
         sample_dict = json.load(f)
     split_sample_dict = {}
     counter = 0
+    only = []
+    if args.only is not None:
+        if "*" in args.only:
+            only = [
+                k
+                for k in sample_dict.keys()
+                if k.lstrip("/").startswith(args.only.rstrip("*"))
+            ]
+        else:
+            only.append(args.only)
+
     for sample_name, files in sample_dict.items():
+        if len(only) != 0 and sample_name not in only:
+            continue
         for ifile in range(
             (len(files) + args.condorFileSize - 1) // args.condorFileSize
         ):
diff --git a/metadata/MC_Summer22EE_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json b/metadata/MC_Summer22EE_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json
index f608d053..01de1d80 100644
--- a/metadata/MC_Summer22EE_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json
+++ b/metadata/MC_Summer22EE_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json
@@ -1837,8 +1837,6 @@
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_185.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_227.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_83.root",
-        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_172.root",
-        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_88.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_635.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_542.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_441.root",
@@ -6359,13 +6357,9 @@
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_106.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_70.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_213.root",
-        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_228.root",
-        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_117.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_101.root",
-        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_217.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_231.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_204.root",
-        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_108.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_112.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_2.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_68.root",
@@ -6377,7 +6371,6 @@
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_3-5.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_1-10.root",
         "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v2_BTV_Run3_2022_Comm_v2_NanoV12/231007_124236/0000/nano_mcRun3_EE_1-2.root",
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diff --git a/metadata/MC_Summer22_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json b/metadata/MC_Summer22_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json
index 109ad075..53b77e39 100644
--- a/metadata/MC_Summer22_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json
+++ b/metadata/MC_Summer22_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json
@@ -43,17 +43,10 @@
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diff --git a/metadata/MC_Summer22_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json b/metadata/MC_Summer22_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json
index 63c0099d..fb776386 100644
--- a/metadata/MC_Summer22_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json
+++ b/metadata/MC_Summer22_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json
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-        "root://maite.iihe.ac.be:1095//store/user/mullerd/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_114210/0000/nano_mcRun3_8.root",
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-        "root://maite.iihe.ac.be:1095//store/user/mullerd/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_114210/0000/nano_mcRun3_6.root"
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_17.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_14.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_5.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_15.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_3.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_7.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_9.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_10.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_11.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_6.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_13.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_1.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_1-1.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_12.root",
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+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_4.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_16.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12_ext1-v2_BTV_Run3_2022_Comm_v2/231013_090854/0000/nano_mcRun3_2.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2_BTV_Run3_2022_Comm_v2/231013_090838/0000/nano_mcRun3_3.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2_BTV_Run3_2022_Comm_v2/231013_090838/0000/nano_mcRun3_5.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2_BTV_Run3_2022_Comm_v2/231013_090838/0000/nano_mcRun3_6.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2_BTV_Run3_2022_Comm_v2/231013_090838/0000/nano_mcRun3_4.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2_BTV_Run3_2022_Comm_v2/231013_090838/0000/nano_mcRun3_1.root",
+        "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/usarkar/PFNano_Run3/mc_summer22/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2_BTV_Run3_2022_Comm_v2/231013_090838/0000/nano_mcRun3_2.root"
     ]
-}
\ No newline at end of file
+}
diff --git a/metadata/data_Summer22EE_Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json b/metadata/data_Summer22EE_Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json
index 549f1222..083ff485 100644
--- a/metadata/data_Summer22EE_Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json
+++ b/metadata/data_Summer22EE_Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json
@@ -1,5 +1,5 @@
 {
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         "root://eoscms.cern.ch//eos/cms/store/group/cmst3/group/deepjet/PFNano_Run3_v12/data_2022CDE_rereco_BTagMu/BTagMu/Run2022E-27Jun2023-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_120218/0000/nano_data2022CDE_158.root",
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@@ -454,7 +454,7 @@
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     ],
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@@ -1494,7 +1494,7 @@
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     ],
-    "BTagMuRun2022G-PromptReco-v1_BTV_Run3_2022_Comm_v2_NanoV12": [
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diff --git a/metadata/data_Summer22EE_Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json b/metadata/data_Summer22EE_Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json
index 9371ee62..d6d93366 100644
--- a/metadata/data_Summer22EE_Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json
+++ b/metadata/data_Summer22EE_Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json
@@ -1,5 +1,5 @@
 {
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         "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/EGamma/Run2022E-27Jun2023-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_143847/0000/nano_data2022CDE_114.root",
         "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/EGamma/Run2022E-27Jun2023-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_143847/0000/nano_data2022CDE_21.root",
@@ -454,7 +454,7 @@
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     ],
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         "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022FG_prompt/EGamma/Run2022F-PromptReco-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_144221/0000/nano_data2022FG_525.root",
@@ -1446,7 +1446,7 @@
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     ],
-    "EGammaRun2022G-PromptReco-v1_BTV_Run3_2022_Comm_v2_NanoV12": [
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         "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022FG_prompt/EGamma/Run2022G-PromptReco-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_144244/0000/nano_data2022FG_15.root",
         "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022FG_prompt/EGamma/Run2022G-PromptReco-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_144244/0000/nano_data2022FG_85.root",
diff --git a/metadata/data_Summer22EE_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json b/metadata/data_Summer22EE_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json
index 04fd1c69..91393fd5 100644
--- a/metadata/data_Summer22EE_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json
+++ b/metadata/data_Summer22EE_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json
@@ -1,5 +1,5 @@
 {
-    "MuonEGRun2022E-27Jun2023-v1_BTV_Run3_2022_Comm_v2_NanoV12": [
+    "MuonEGRun2022E-27Jun2023-v1": [
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         "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/MuonEG/Run2022E-27Jun2023-v1_BTV_Run3_2022_Comm_v2_NanoV12/230927_144000/0000/nano_data2022CDE_310.root",
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@@ -420,7 +420,7 @@
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index fa671664..9fa24f48 100644
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diff --git a/metadata/data_Summer22_Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json b/metadata/data_Summer22_Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json
index 1178f1c8..411733dd 100644
--- a/metadata/data_Summer22_Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json
+++ b/metadata/data_Summer22_Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json
@@ -1,5 +1,5 @@
 {
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diff --git a/metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json b/metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json
index e0f73d3c..be35150e 100644
--- a/metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json
+++ b/metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json
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+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_192.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_169.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_215.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_187.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_218.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_212.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_213.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_223.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_224.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_196.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_216.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_220.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_225.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_12.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_13.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_78.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_222.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_221.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_226.root",
+        "root://maite.iihe.ac.be/pnfs/iihe/cms/store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_181.root"
     ]
-}
\ No newline at end of file
+}
diff --git a/metadata/test_bta_run3.json b/metadata/test_bta_run3.json
index 426670d9..1da3a091 100644
--- a/metadata/test_bta_run3.json
+++ b/metadata/test_bta_run3.json
@@ -1,6 +1,6 @@
 {
-    "JetMET_Run2022F-PromptReco-v1":[
-        "root://cceos.ihep.ac.cn:1094//eos/ihep/cms/store/user/coli/PFNano_Run3/data_2022FG_prompt/JetMET/Run2022F-PromptReco-v1_BTV_Run3_2022_Comm_v2/230808_133855/0000/nano_data2022FG_687.root"
+    "JetMETRun2022D-27Jun2023-v2": [
+        "root://eoscms.cern.ch//eos/cms/store/group/cmst3/group/deepjet/PFNano_Run3_v12/data_2022CDE_rereco_JetMET/JetMET/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_120318/0000/nano_data2022CDE_135.root"
     ],
     "QCD_PT-120to170_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8":[
         "root://eoscms.cern.ch//store/group/phys_btag/PFNano_Run3/mc_summer22EE/QCD_PT-120to170_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v1_BTV_Run3_2022_Comm_v2_NanoV12/231001_184438/0000/nano_mcRun3_EE_1-1.root"
diff --git a/runner.py b/runner.py
index 426d8380..6141d600 100644
--- a/runner.py
+++ b/runner.py
@@ -224,10 +224,20 @@ def get_main_parser():
     args = parser.parse_args()
     print("Running with the following options:")
     print(args)
+    ogoutput = args.output
+    histoutdir = ogoutput.split(".")[0]
+    coffeaoutput = f"{histoutdir}/{ogoutput}"
+    outdir = histoutdir
+    basename = ogoutput.replace(".coffea", "").replace("hists_", "")
     if args.output == parser.get_default("output"):
         index = args.samplejson.rfind("/") + 1
         sample_json = args.samplejson[index:]
-        args.output = f'hists_{args.workflow}_{(sample_json).rstrip(".json")}.coffea'
+        histoutdir = f"hists_{args.workflow}_{sample_json.rstrip('.json')}"
+        outdir = f"arrays_{args.workflow}_{sample_json.rstrip('.json')}"
+        coffeaoutput = (
+            f'{histoutdir}/hists_{args.workflow}_{(sample_json).rstrip(".json")}.coffea'
+        )
+    os.system(f"mkdir -p {histoutdir}")
     # load dataset
     with open(args.samplejson) as f:
         sample_dict = json.load(f)
@@ -249,7 +259,19 @@ def get_main_parser():
     if args.only is not None:
         if args.only in sample_dict.keys():  # is dataset
             sample_dict = dict([(args.only, sample_dict[args.only])])
-        if "*" in args.only:  # wildcard for datasets
+            coffeaoutput = coffeaoutput.replace(".coffea", f"_{key}.coffea")
+        elif args.only.isdigit():
+            isamp = int(args.only)
+            nsamp = len(sample_dict.keys())
+            if isamp >= nsamp:
+                print(
+                    f"There are {nsamp} datasets, please use --only n with n<{nsamp}."
+                )
+            key = list(sample_dict.keys())[isamp]
+            print(f"Will process only {key} instead of all {nsamp} datasets.")
+            sample_dict = dict([(key, sample_dict[key])])
+            coffeaoutput = coffeaoutput.replace(".coffea", f"_{key}.coffea")
+        elif "*" in args.only:  # wildcard for datasets
             _new_dict = {}
             print("Will only proces the following datasets:")
             for k, v in sample_dict.items():
@@ -311,7 +333,7 @@ def get_main_parser():
     processor_instance = workflows[args.workflow](
         args.year,
         args.campaign,
-        args.output.replace(".coffea", "").replace("hists_", ""),
+        outdir,
         args.isSyst,
         args.isArray,
         args.noHist,
@@ -321,30 +343,14 @@ def get_main_parser():
     ## create tmp directory and check file exist or not
     from os import path
 
-    if path.exists(f"{args.output}") and args.overwrite == False:
-        raise Exception(f"{args.output} exists")
+    if path.exists(f"{coffeaoutput}") and args.overwrite == False:
+        raise Exception(f"{coffeaoutput} exists")
+
     if args.isArray:
-        ## create the directory
-        if (
-            path.exists(args.output.replace(".coffea", "").replace("hists_", ""))
-            and args.overwrite == False
-        ):
+        if path.exists(outdir) and args.overwrite == False and args.only is None:
             raise Exception("Directory exists")
         else:
-            if path.exists(
-                path.exists(args.output.replace(".coffea", "").replace("hists_", ""))
-            ):
-                os.system(
-                    f'rm -r {args.output.replace(".coffea", "").replace("hists_", "")}'
-                )
-            else:
-                os.system(
-                    f'mkdir -p {args.output.replace(".coffea", "").replace("hists_", "")}'
-                )
-                for dataset in sample_dict.keys():
-                    os.system(
-                        f"mkdir -p {args.workflow}_{(sample_json).rstrip('.json')}/{dataset}"
-                    )
+            os.system(f"mkdir -p {outdir}")
 
     if args.executor not in ["futures", "iterative", "dask/lpc", "dask/casa"]:
         """
@@ -779,13 +785,13 @@ def get_main_parser():
                         if args.noHist == False:
                             save(
                                 output,
-                                args.output.replace(
+                                coffeaoutput.replace(
                                     ".coffea", f"_{sindex}_{findex}.coffea"
                                 ),
                             )
     if not "lxplus" in args.executor:
         if args.noHist == False:
-            save(output, args.output)
+            save(output, coffeaoutput)
     if args.noHist == False:
         # print(output)
-        print(f"Saving output to {args.output}")
+        print(f"Saving output to {coffeaoutput}")
diff --git a/scripts/comparison.py b/scripts/comparison.py
index 07c2cd74..c0463c83 100644
--- a/scripts/comparison.py
+++ b/scripts/comparison.py
@@ -1,5 +1,5 @@
 import numpy as np
-import argparse, os, arrow, glob
+import argparse, os, arrow, glob, json, re
 from coffea.util import load
 import matplotlib.pyplot as plt
 from matplotlib.offsetbox import AnchoredText
@@ -64,18 +64,12 @@
     help="str, optional {None, 'show', 'sum'} Whether plot the under/overflow bin. If 'show', add additional under/overflow bin. If 'sum', add the under/overflow bin content to first/last bin.",
 )
 parser.add_argument("--ext", type=str, default="", help="prefix name/btv name tag")
-parser.add_argument("--com", default="13", type=str, help="sqrt(s) in TeV")
+parser.add_argument("--com", default="13.6", type=str, help="sqrt(s) in TeV")
 parser.add_argument(
-    "--shortref",
-    default="",
-    type=str,
-    help="short name for reference dataset for legend",
-)
-parser.add_argument(
-    "--shortcomp",
-    default="",
+    "--mergemap",
+    default=None,
     type=str,
-    help="short names for compared datasets for legend, split by ','",
+    help="Group list of sample(keys in coffea) as reference/compare set as dictionary format. Keys would be the new lables of the group",
 )
 parser.add_argument(
     "--autorebin",
@@ -109,21 +103,24 @@
 time = arrow.now().format("YY_MM_DD")
 if not os.path.isdir(f"plot/BTV/{args.phase}_{args.ext}_{time}/"):
     os.makedirs(f"plot/BTV/{args.phase}_{args.ext}_{time}/")
-if not any(".coffea" in o for o in output.keys()):
-    mergemap[args.ref] = [m for m in output.keys() if args.ref == m]
-    for c in args.compared.split(","):
-        mergemap[c] = [m for m in output.keys() if c == m]
-else:
-    reflist = []
-    for f in output.keys():
-        reflist.extend([m for m in output[f].keys() if args.ref == m])
-    mergemap[args.ref] = reflist
-
-    for c in args.compared.split(","):
-        comparelist = []
+if args.mergemap is None:
+    if not any(".coffea" in o for o in output.keys()):
+        mergemap[args.ref] = [m for m in output.keys() if args.ref == m]
+        for c in args.compared.split(","):
+            mergemap[c] = [m for m in output.keys() if c == m]
+    else:
+        reflist = []
         for f in output.keys():
-            comparelist.extend([m for m in output[f].keys() if c == m])
-        mergemap[c] = comparelist
+            reflist.extend([m for m in output[f].keys() if args.ref == m])
+        mergemap[args.ref] = reflist
+
+        for c in args.compared.split(","):
+            comparelist = []
+            for f in output.keys():
+                comparelist.extend([m for m in output[f].keys() if c == m])
+            mergemap[c] = comparelist
+else:
+    mergemap = json.loads(args.mergemap)
 collated = collate(output, mergemap)
 ### style settings
 if "Run" in args.ref:
@@ -160,20 +157,34 @@
     input_txt = input_txt + " ($\mu$)"
 if "ctag" in args.phase and "DY" not in args.phase:
     input_txt = input_txt + "\nw/ soft-$\mu$"
-if args.shortref == "":
-    args.shortref = args.ref
 
-if args.shortcomp == "":
-    args.shortcomp = args.compared
 
 if args.variable == "all":
     var_set = collated[args.ref].keys()
 elif "*" in args.variable:
-    var_set = [
-        var
-        for var in collated[args.ref].keys()
-        if args.variable.replace("*", "") in var
-    ]
+    if args.variable.count("*") > 1:
+        var_set = [
+            var
+            for var in collated[args.ref].keys()
+            if args.variable.replace("*", "") in var
+        ]
+    elif args.variable.startswith("*") or args.variable.endswith("*"):
+        var_set = [
+            var
+            for var in collated[args.ref].keys()
+            if var.startswith(args.variable.replace("*", ""))
+            or var.endswith(args.variable.replace("*", ""))
+        ]
+    else:
+        var_set = [
+            var
+            for var in collated[args.ref].keys()
+            if re.match(
+                f"^{args.variable.split('*')[0]}.*{args.variable.split('*')[1]}$", var
+            )
+            != None
+        ]
+
 else:
     var_set = args.variable.split(",")
 for index, discr in enumerate(var_set):
@@ -269,70 +280,70 @@
 
         hep.histplot(
             collated[args.ref][discr][laxis] + collated[args.ref][discr][puaxis],
-            label=args.shortref + "-l",
+            label=args.ref + "-l",
             color="b",
             histtype=hist_type,
             yerr=True,
             ax=ax,
-            xerr=do_xerr
-            # flow=args.flow,
+            xerr=do_xerr,
+            flow=args.flow,
         )
         hep.histplot(
             collated[args.ref][discr][caxis],
-            label=args.shortref + "-c",
+            label=args.ref + "-c",
             color="g",
             histtype=hist_type,
             yerr=True,
             ax=ax,
-            xerr=do_xerr
-            # flow=args.flow,
+            xerr=do_xerr,
+            flow=args.flow,
         )
         hep.histplot(
             collated[args.ref][discr][baxis],
-            label=args.shortref + "-b",
+            label=args.ref + "-b",
             yerr=True,
             color="r",
             histtype=hist_type,
             ax=ax,
-            xerr=do_xerr
-            # flow=args.flow,
+            xerr=do_xerr,
+            flow=args.flow,
         )
 
         mindex = 0
         ax.legend(ncol=3, loc=1)
-        for c, s in zip(args.compared.split(","), args.shortcomp.split(",")):
+        for c in args.compared.split(","):
             hep.histplot(
                 collated[c][discr][laxis] + collated[c][discr][puaxis],
-                label=s + "-l",
+                label=c + "-l",
                 color="b",
                 marker=markers[mindex + 1],
                 histtype="errorbar",
                 yerr=True,
                 ax=ax,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
             hep.histplot(
                 collated[c][discr][caxis],
-                label=s + "-c",
+                label=c + "-c",
                 color="g",
                 marker=markers[mindex + 1],
                 histtype="errorbar",
                 yerr=True,
                 ax=ax,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
             hep.histplot(
                 collated[c][discr][baxis],
-                label=s + "-b",
+                label=c + "-b",
                 yerr=True,
                 color="r",
                 marker=markers[mindex + 1],
                 histtype="errorbar",
                 ax=ax,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
             # comparison splitted by flavor
             rax = plotratio(
@@ -342,8 +353,8 @@
                 denom_fill_opts=None,
                 error_opts={"color": "b", "marker": markers[mindex + 1]},
                 clear=False,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
             rax2 = plotratio(
                 collated[c][discr][caxis],
@@ -352,8 +363,8 @@
                 denom_fill_opts=None,
                 error_opts={"color": "g", "marker": markers[mindex + 1]},
                 clear=False,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
             rax3 = plotratio(
                 collated[c][discr][baxis],
@@ -362,8 +373,8 @@
                 denom_fill_opts=None,
                 error_opts={"color": "r", "marker": markers[mindex + 1]},
                 clear=False,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
             mindex += 1
 
@@ -400,37 +411,36 @@
         ax.set_xlabel(None)
         hep.histplot(
             collated[args.ref][discr][allaxis],
-            label=args.shortref + " (Ref)",
+            label=args.ref + " (Ref)",
             histtype=hist_type,
             yerr=True,
             ax=ax,
-            xerr=do_xerr
-            # flow=args.flow,
+            xerr=do_xerr,
+            flow=args.flow,
         )
-        for c, s in zip(args.compared.split(","), args.shortcomp.split(",")):
+
+        for i, c in enumerate(args.compared.split(",")):
             hep.histplot(
                 collated[c][discr][allaxis],
-                label=s,
+                label=c,
                 histtype=hist_type,
                 yerr=True,
                 ax=ax,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )
-        for i, c in enumerate(args.compared.split(",")):
             plotratio(
                 collated[c][discr][allaxis],
                 collated[args.ref][discr][allaxis],
                 ax=rax,
                 denom_fill_opts=None,
-                error_opts={"color": ax.get_lines()[i * 2 + 1].get_color()},
+                error_opts={"color": ax.get_lines()[i + 1].get_color()},
                 clear=False,
-                xerr=do_xerr
-                # flow=args.flow,
+                xerr=do_xerr,
+                flow=args.flow,
             )  ## No error band used
         alls = collated[args.ref][discr][allaxis]
-        for c in args.compared.split(","):
-            alls = collated[c][discr][allaxis] + alls
+
         xmin, xmax = autoranger(alls)
         rax.set_xlim(xmin, xmax)
         if args.xrange is not None:
diff --git a/scripts/fetch.py b/scripts/fetch.py
index 128cb704..615d2481 100644
--- a/scripts/fetch.py
+++ b/scripts/fetch.py
@@ -3,6 +3,8 @@
 import json
 import argparse
 from collections import defaultdict
+import uproot
+import numpy as np
 
 # Adapt some developments from Andrey Pozdnyakov in CoffeaRunner https://github.com/cms-rwth/CoffeaRunner/blob/master/filefetcher/fetch.py
 parser = argparse.ArgumentParser(
@@ -45,6 +47,11 @@
     help="Black list for sites",
     default=None,
 )
+parser.add_argument(
+    "--save_",
+    help="Black list for sites",
+    default=None,
+)
 
 
 args = parser.parse_args()
@@ -111,7 +118,7 @@ def getFilesFromDas(args):
 
         Tier = dataset.strip().split("/")[3]
         # NANOAODSIM for regular samples, USER for private
-        if "Run" in dataset and "mc" not in dataset:
+        if "Run" in dataset and "pythia8" not in dataset:
             dsname = (
                 dataset.strip().split("/")[1]
                 + dataset.strip().split("/")[2][
@@ -122,6 +129,7 @@ def getFilesFromDas(args):
                     .rfind("-")
                 ]
             )
+            dsname = dsname[: dsname.find("_BTV")]
             # +dataset.strip().split("/")[2].find("Run")
         instance = "prod/global"
         if Tier == "USER":
@@ -149,7 +157,6 @@ def getFilesFromDas(args):
 
         if instance == "prod/phys03":
             possible_sites = [fetchsite[0]["site"][0]["name"]]
-            print(fetchsite[0]["site"])
         else:
             possible_sites = [
                 s["site"][0]["name"]
@@ -259,6 +266,64 @@ def getRootFilesFromPath(d, lim=None):
     return rootfiles
 
 
+def validate(file):
+    n_tries = 0
+    check_path = os.popen(f"gfal-ls {file}").read()
+    if check_path == "":
+        return f"NotFound: {file}"
+    not_able_open = True
+    while n_tries <= 5:
+        try:
+            fin = uproot.open(file)
+            not_able_open = False
+            return fin["Events"].num_entries
+        except:
+            print("retries", n_tries, file)
+            n_tries += n_tries
+    if not_able_open:
+        return f"FailedRetries: {file}"
+
+
+def remove_bad_files(sample_dict, outname, remove_bad=True):
+    from p_tqdm import p_map
+
+    all_invalid = []
+    bad_sample_dict = {}
+    f = open(f"{outname.replace('.json','')}_file_status.txt", "w")
+    for sample in sample_dict.keys():
+        _rmap = p_map(
+            validate,
+            sample_dict[sample],
+            num_cpus=8,
+            desc=f"Validating {sample[:20]}...",
+        )
+
+        _results = list(_rmap)
+        counts = np.sum([r for r in _results if np.isreal(r) and isinstance(r, int)])
+        all_invalid += [r for r in _results if isinstance(r, str)]
+        if len(all_invalid) > 0:
+            bad_sample_dict[sample] = all_invalid
+        f.write(f"{sample} Events: {np.sum(counts)}\n")
+
+    if len(all_invalid) == 0:
+        f.write("No bad files found!")
+    else:
+        print(f"Found {len(all_invalid)} bad files.")
+        f.write(f"Found {len(all_invalid)} bad files.")
+        if remove_bad == True:
+            f.write(
+                "\n==========================BAD FILES==========================\n "
+            )
+
+            for sample in bad_sample_dict.keys():
+                for bad_file in bad_sample_dict[sample]:
+                    f.write(bad_file + "\n")
+                    if bad_file[bad_file.find("root://") :] in sample_dict[sample]:
+                        sample_dict[sample].remove(bad_file[bad_file.find("root://") :])
+
+    return sample_dict
+
+
 def main(args):
     if args.from_path:
         print("do it from path: ")
@@ -276,6 +341,7 @@ def main(args):
             empty = False
     assert empty, "you have empty lists"
     output_file = "./%s" % (args.output)
+    fdict = remove_bad_files(fdict, args.output, True)  # remove bad files
     with open(output_file, "w") as fp:
         json.dump(fdict, fp, indent=4)
         print("The file is saved at: ", output_file)
diff --git a/scripts/plotdataMC.py b/scripts/plotdataMC.py
index edf2b450..e456c0b5 100644
--- a/scripts/plotdataMC.py
+++ b/scripts/plotdataMC.py
@@ -1,5 +1,5 @@
 import numpy as np
-import argparse, os, arrow, glob
+import argparse, os, arrow, glob, re
 from coffea.util import load
 import matplotlib.pyplot as plt
 from matplotlib.offsetbox import AnchoredText
@@ -23,7 +23,7 @@
 bininfo = definitions()
 parser = argparse.ArgumentParser(description="hist plotter for commissioning")
 parser.add_argument("--lumi", required=True, type=float, help="luminosity in /pb")
-parser.add_argument("--com", default="13", type=str, help="sqrt(s) in TeV")
+parser.add_argument("--com", default="13.6", type=str, help="sqrt(s) in TeV")
 parser.add_argument(
     "-p",
     "--phase",
@@ -122,6 +122,7 @@
         mergemap = sample_mergemap
     mergemap["mc"] = mclist
     mergemap["data"] = datalist
+
 collated = collate(output, mergemap)
 
 for sample in mergemap.keys():
@@ -161,17 +162,38 @@
 if "ctag" in args.phase and "DY" not in args.phase:
     input_txt = input_txt + "\nw/ soft-$\mu$"
 if args.variable == "all":
-    var_set = collated["mc"].keys()
-elif "*" in args.variable:
     var_set = [
-        var for var in collated["data"].keys() if args.variable.replace("*", "") in var
+        var
+        for var in collated["mc"].keys()
+        if var not in ["fname", "run", "lumi", "sumw"]
     ]
+elif "*" in args.variable:
+    if args.variable.count("*") > 1:
+        var_set = [
+            var
+            for var in collated["mc"].keys()
+            if args.variable.replace("*", "") in var
+        ]
+    elif args.variable.startswith("*") or args.variable.endswith("*"):
+        var_set = [
+            var
+            for var in collated["mc"].keys()
+            if var.startswith(args.variable.replace("*", ""))
+            or var.endswith(args.variable.replace("*", ""))
+        ]
+    else:
+        var_set = [
+            var
+            for var in collated["mc"].keys()
+            if re.match(
+                f"^{args.variable.split('*')[0]}.*{args.variable.split('*')[1]}$", var
+            )
+            != None
+        ]
+
 else:
     var_set = args.variable.split(",")
-
 for index, discr in enumerate(var_set):
-    if "sumw" == discr:
-        continue
     ## remove empty
     if (
         discr not in collated["mc"].keys()
@@ -205,7 +227,10 @@
         allaxis["syst"] = "nominal"
         SF_axis = allaxis
         noSF_axis = allaxis
-        systlist = [i for i in range(collated["mc"][discr].axes[0].size)]
+        systlist = [
+            collated["mc"][discr].axes[0].value(i)
+            for i in range(collated["mc"][discr].axes[0].size)
+        ]
         if "noSF" in systlist:
             noSF_axis["syst"] = "noSF"
 
@@ -217,12 +242,10 @@
         else:
             rebin = np.array([float(i) for i in args.autorebin.split(",")])
             do_xerr = True
-        collated["mc"][discr] = rebin_hist(
-            collated["mc"][discr], collated["mc"][discr].axes[-1].name, rebin
-        )
-        collated["data"][discr] = rebin_hist(
-            collated["data"][discr], collated["data"][discr].axes[-1].name, rebin
-        )
+        for s in collated.keys():
+            collated[s][discr] = rebin_hist(
+                collated[s][discr], collated[s][discr].axes[-1].name, rebin
+            )
 
     ## Rescale noSF & SF to same MC yields
     if (
@@ -544,7 +567,7 @@
         ax.legend(ncols=2, prop={"size": 16})
     else:
         ax.legend()
-    rax.set_ylim(0, 2.0)
+    rax.set_ylim(0.5, 1.5)
     ax.set_ylim(bottom=0.0)
 
     rax.autoscale(True, axis="x", tight=True)
diff --git a/src/BTVNanoCommissioning/data/JME/Summer22Run3/compile_F.pkl.gz b/src/BTVNanoCommissioning/data/JME/Summer22Run3/compile_F.pkl.gz
new file mode 100644
index 00000000..65748436
Binary files /dev/null and b/src/BTVNanoCommissioning/data/JME/Summer22Run3/compile_F.pkl.gz differ
diff --git a/src/BTVNanoCommissioning/data/JPCalib/Summer22EERun3/calibeHistoWrite_Data2022E_NANO130X_v1.root b/src/BTVNanoCommissioning/data/JPCalib/Summer22EERun3/calibeHistoWrite_Data2022E_NANO130X_v1.root
new file mode 100644
index 00000000..d324ceb3
Binary files /dev/null and b/src/BTVNanoCommissioning/data/JPCalib/Summer22EERun3/calibeHistoWrite_Data2022E_NANO130X_v1.root differ
diff --git a/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022C_NANO130X_v1.root b/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022C_NANO130X_v1.root
new file mode 100644
index 00000000..4ff18c8a
Binary files /dev/null and b/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022C_NANO130X_v1.root differ
diff --git a/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022D_NANO130X_v1.root b/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022D_NANO130X_v1.root
new file mode 100644
index 00000000..6d9fb4e2
Binary files /dev/null and b/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022D_NANO130X_v1.root differ
diff --git a/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_MC2022_NANO130X_v2.root b/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_MC2022_NANO130X_v2.root
new file mode 100644
index 00000000..da202b46
Binary files /dev/null and b/src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_MC2022_NANO130X_v2.root differ
diff --git a/src/BTVNanoCommissioning/data/PU/Summer22EERun3/puweight_Summer22EERun3.histo.root b/src/BTVNanoCommissioning/data/PU/Summer22EERun3/puweight_Summer22EERun3-80p0mb.histo.root
similarity index 100%
rename from src/BTVNanoCommissioning/data/PU/Summer22EERun3/puweight_Summer22EERun3.histo.root
rename to src/BTVNanoCommissioning/data/PU/Summer22EERun3/puweight_Summer22EERun3-80p0mb.histo.root
diff --git a/src/BTVNanoCommissioning/data/PU/Summer22Run3/puweight_Winter22Run3.histo.root b/src/BTVNanoCommissioning/data/PU/Summer22Run3/puweight_Winter22Run3-69p2mb.histo.root
similarity index 100%
rename from src/BTVNanoCommissioning/data/PU/Summer22Run3/puweight_Winter22Run3.histo.root
rename to src/BTVNanoCommissioning/data/PU/Summer22Run3/puweight_Winter22Run3-69p2mb.histo.root
diff --git a/src/BTVNanoCommissioning/helpers/definitions.py b/src/BTVNanoCommissioning/helpers/definitions.py
index 451bcf27..31ef960e 100644
--- a/src/BTVNanoCommissioning/helpers/definitions.py
+++ b/src/BTVNanoCommissioning/helpers/definitions.py
@@ -6092,264 +6092,142 @@ def definitions():
     return definitions_dict
 
 
-def axes_name(var_input):
-    discname = [
-        "MET_phi",
-        "MET_pt",
-        "btagDeepB_0",
-        "btagDeepB_1",
-        "btagDeepB_2",
-        "btagDeepB_3",
-        "btagDeepB_b_0",
-        "btagDeepB_b_1",
-        "btagDeepB_b_2",
-        "btagDeepB_b_3",
-        "btagDeepB_bb_0",
-        "btagDeepB_bb_1",
-        "btagDeepB_bb_2",
-        "btagDeepB_bb_3",
-        "btagDeepC_0",
-        "btagDeepC_1",
-        "btagDeepC_2",
-        "btagDeepC_3",
-        "btagDeepCvB_0",
-        "btagDeepCvB_1",
-        "btagDeepCvB_2",
-        "btagDeepCvB_3",
-        "btagDeepCvL_0",
-        "btagDeepCvL_1",
-        "btagDeepCvL_2",
-        "btagDeepCvL_3",
-        "btagDeepFlavB_0",
-        "btagDeepFlavB_1",
-        "btagDeepFlavB_2",
-        "btagDeepFlavB_3",
-        "btagDeepFlavB_b_0",
-        "btagDeepFlavB_b_1",
-        "btagDeepFlavB_b_2",
-        "btagDeepFlavB_b_3",
-        "btagDeepFlavB_bb_0",
-        "btagDeepFlavB_bb_1",
-        "btagDeepFlavB_bb_2",
-        "btagDeepFlavB_bb_3",
-        "btagDeepFlavB_lepb_0",
-        "btagDeepFlavB_lepb_1",
-        "btagDeepFlavB_lepb_2",
-        "btagDeepFlavB_lepb_3",
-        "btagDeepFlavC_0",
-        "btagDeepFlavC_1",
-        "btagDeepFlavC_2",
-        "btagDeepFlavC_3",
-        "btagDeepFlavCvB_0",
-        "btagDeepFlavCvB_1",
-        "btagDeepFlavCvB_2",
-        "btagDeepFlavCvB_3",
-        "btagDeepFlavCvL_0",
-        "btagDeepFlavCvL_1",
-        "btagDeepFlavCvL_2",
-        "btagDeepFlavCvL_3",
-        "dr_lmujethmu",
-        "dr_lmujetsmu",
-        "dr_lmusmu",
-        "dr_mujet0",
-        "dr_mujet1",
-        "dr_mujet2",
-        "dr_mujet3",
-        "dr_mumu",
-        "ele_dxy",
-        "ele_dz",
-        "ele_eta",
-        "ele_pfRelIso03_all",
-        "ele_phi",
-        "ele_pt",
-        "hl_dxy",
-        "hl_dz",
-        "hl_eta",
-        "hl_pfRelIso04_all",
-        "hl_phi",
-        "hl_pt",
-        "hl_ptratio",
-        "jet0_eta",
-        "jet0_mass",
-        "jet0_phi",
-        "jet0_pt",
-        "jet1_eta",
-        "jet1_mass",
-        "jet1_phi",
-        "jet1_pt",
-        "jet2_eta",
-        "jet2_mass",
-        "jet2_phi",
-        "jet2_pt",
-        "jet3_eta",
-        "jet3_mass",
-        "jet3_phi",
-        "jet3_pt",
-        "jet_eta",
-        "jet_mass",
-        "jet_phi",
-        "jet_pt",
-        "lmujet_eta",
-        "lmujet_mass",
-        "lmujet_phi",
-        "lmujet_pt",
-        "mu_dxy",
-        "mu_dz",
-        "mu_eta",
-        "mu_pfRelIso04_all",
-        "mu_phi",
-        "mu_pt",
-        "mujet_eta",
-        "mujet_mass",
-        "mujet_phi",
-        "mujet_pt",
-        "negl_dxy",
-        "negl_dz",
-        "negl_eta",
-        "negl_pfRelIso04_all",
-        "negl_phi",
-        "negl_pt",
-        "njet",
-        "posl_dxy",
-        "posl_dz",
-        "posl_eta",
-        "posl_pfRelIso04_all",
-        "posl_phi",
-        "posl_pt",
-        "sl_dxy",
-        "sl_dz",
-        "sl_eta",
-        "sl_pfRelIso04_all",
-        "sl_phi",
-        "sl_pt",
-        "sl_ptratio",
-        "soft_l_dxy",
-        "soft_l_mass",
-        "soft_l_dz",
-        "soft_l_eta",
-        "soft_l_pfRelIso04_all",
-        "soft_l_phi",
-        "soft_l_pt",
-        "soft_l_ptratio",
-        "w_eta",
-        "w_mass",
-        "w_phi",
-        "w_pt",
-        "z_eta",
-        "z_mass",
-        "z_phi",
-        "z_pt",
-    ]
+def axes_name(var):
     output = {}
 
-    for var in discname:
-        unit = ""
-        obj = ""
-        if "dr" in var:
-            obj = "$\\Delta$R"
-            if "lmujethmu" in var:
-                unit = "($\\mu$-Jet,$\\mu$)"
-            elif "lmujetsmu" in var:
-                unit = "($\\mu$-Jet,soft-$\\mu$)"
-            elif "lmusmu" in var:
-                unit = "($\\mu$,soft-$\\mu$)"
-            elif "mujet" in var:
-                unit = "($\\mu$,Jet)"
-        elif "MET_" in var:
-            obj = "MET"
-        elif "ele_" in var:
-            obj = "e"
-        elif "posl_" in var:
-            obj = "$\\ell^+$"
-        elif "negl_" in var:
-            obj = "$\\ell^-$"
-        elif "mu_" in var:
-            obj = "$\\mu$"
-        elif "hl_" in var:
-            obj = "$\\ell_1$"
-        elif "sl_" in var:
-            obj = "$\\ell_2$"
-        elif "soft_l" in var:
-            obj = "soft-$\\mu$"
+    unit = ""
+    obj = ""
+    if "dr" in var:
+        obj = "$\\Delta$R"
+        if "lmujethmu" in var:
+            unit = "($\\mu$-Jet,$\\mu$)"
+        elif "lmujetsmu" in var:
+            unit = "($\\mu$-Jet,soft-$\\mu$)"
+        elif "lmusmu" in var:
+            unit = "($\\mu$,soft-$\\mu$)"
         elif "mujet" in var:
-            obj = "$\\mu$-Jet"
-        elif "jet" in var:
-            obj = "Jet"
-        elif "w_" in var:
-            obj = "W"
-        elif "z_" in var:
-            obj = "Z"
-
-        if "pt" in var:
-            unit = " $p_T$ [GeV]"
-        elif "mass" in var:
-            unit = " mass [GeV]"
-        elif "eta" in var:
-            unit = " $\\eta$"
-        elif "phi" in var:
-            unit = " $\\phi$"
-        elif "dxy" in var:
-            unit = " $d_{xy}$ [cm]"
-        elif "dz" in var:
-            unit = " $d_{z}$ [cm]"
-        elif "pfRelIso" in var:
-            unit = " Rel. Iso"
-        elif "btagDeepCvL" in var:
-            unit = "Jet DeepCSV CvL"
-        elif "btagDeepCvB" in var:
-            unit = "Jet DeepCSV CvB"
-        elif "btagDeepB" in var:
-            if "_b_" in var:
-                unit = "Jet DeepCSV P(b)"
-            elif "_bb" in var:
-                unit = "Jet DeepCSV P(bb)"
-            else:
-                unit = "Jet DeepCSV b discriminator"
-        elif "btagDeepC" in var:
-            unit = "Jet DeepCSV CvsAll"
-        elif "btagDeepFlavCvL" in var:
-            unit = "Jet DeepJet CvL"
-        elif "btagDeepFlavCvB" in var:
-            unit = "Jet DeepJet CvB"
-        elif "btagDeepFlavB" in var:
-            if "_b_" in var:
-                unit = "Jet DeepJet P(b)"
-            elif "_bb" in var:
-                unit = "Jet DeepJet P(bb)"
-            elif "_lepb" in var:
-                unit = "Jet DeepJet P(lepb)"
-            else:
-                unit = "Jet DeepJet b discriminator"
-        elif "btagDeepFlavC" in var:
-            unit = "Jet DeepJet CvsAll"
-
-        label = obj + unit
-        if var.endswith("0") or "jet0" in var:
-            if "btagDeepFlav" not in var:
-                label = label.replace("Jet", "$1^{st}$-Jet")
-            else:
-                label = label.replace("Jet", "$1^{st}$-Jet", 1)
-        elif var.endswith("1") or "jet1" in var:
-            if "btagDeepFlav" not in var:
-                label = label.replace("Jet", "$2^{nd}$-Jet")
-            else:
-                label = label.replace("Jet", "$2^{nd}$-Jet", 1)
-        elif var.endswith("2") or "jet2" in var:
-            if "btagDeepFlav" not in var:
-                label = label.replace("Jet", "$3^{rd}$-Jet")
-            else:
-                label = label.replace("Jet", "$3^{rd}$-Jet", 1)
-        elif var.endswith("3") or "jet3" in var:
-            if "btagDeepFlav" not in var:
-                label = label.replace("Jet", "$4^{th}$-Jet")
-            else:
-                label = label.replace("Jet", "$4^{th}$-Jet", 1)
-        if "ptratio" in var:
-            if var == "hl_ptratio":
-                label = "$p_T^{\\ell_1}/p_T^{Jet}$"
-            if var == "sl_ptratio":
-                label = "$p_T^{\\ell_2}/p_T^{Jet}$"
-            if var == "soft_l_ptratio":
-                label = "$p_T^{soft-\\mu}/p_T^{Jet}$"
-        output[var] = label
-    return output[var_input]
+            unit = "($\\mu$,Jet)"
+    elif "MET_" in var:
+        obj = "MET"
+    elif "ele_" in var:
+        obj = "e"
+    elif "posl_" in var:
+        obj = "$\\ell^+$"
+    elif "negl_" in var:
+        obj = "$\\ell^-$"
+    elif "mu_" in var:
+        obj = "$\\mu$"
+    elif "hl_" in var:
+        obj = "$\\ell_1$"
+    elif "sl_" in var:
+        obj = "$\\ell_2$"
+    elif "soft_l" in var:
+        obj = "soft-$\\mu$"
+    elif "mujet" in var:
+        obj = "$\\mu$-Jet"
+    elif "jet" in var:
+        obj = "Jet"
+    elif "w_" in var:
+        obj = "W"
+    elif "z_" in var:
+        obj = "Z"
+    if "pt" in var:
+        unit = " $p_T$ [GeV]"
+    elif "mass" in var:
+        unit = " mass [GeV]"
+    elif "eta" in var:
+        unit = " $\\eta$"
+    elif "phi" in var:
+        unit = " $\\phi$"
+    elif "dxy" in var:
+        unit = " $d_{xy}$ [cm]"
+    elif "dz" in var:
+        unit = " $d_{z}$ [cm]"
+    elif "pfRelIso" in var:
+        unit = " Rel. Iso"
+    elif "btag" in var:
+        unit = "Jet"
+        ## Negative tagger
+        if "Neg" in var:
+            unit = "Neg. " + unit
+        if "tanh" in var:
+            unit = "Trans. " + unit
+        ## Different taggers
+        if "DeepFlav" in var:
+            unit = unit + " DeepJet"
+        elif "RobustParTAK4" in var:
+            unit = unit + " RobustParTAK4"
+        elif "PNet" in var:
+            unit = unit + " PNet"
+        else:
+            unit = unit + " DeepCSV"
+        # output node
+        if "CvL" in var:
+            unit = unit + " CvL"
+        elif "CvB" in var:
+            unit = unit + " CvB"
+        elif "B_b" in var or "ProbB" in var:
+            unit = unit + " Prob(b)"
+        elif "B_bb" in var:
+            unit = unit + " Prob(bb)"
+        elif "B_lepb" in var:
+            unit = unit + " Prob(lepb)"
+        elif "B_lepb" in var:
+            unit = unit + " Prob(lepb)"
+        elif "QvG" in var or "QG" in var:
+            unit = unit + " QvG"
+        elif "G" in var:
+            unit = unit + " Prob(g)"
+        elif "UDS" in var:
+            unit = unit + " Prob(uds)"
+        elif "TauVJet" in var:
+            unit = unit + " $\\tau$vJ"
+        elif "B" in var:
+            unit = unit + " BvAll"
+        elif "C" in var:
+            unit = unit + " Prob(c)"
+    elif "PNetReg" in var:
+        unit = "Jet PNet Reg."
+        if "Corr" in var:
+            unit = " Corr"
+        elif "CorrNeutrino" in var:
+            unit = " Corr (w/$\\nu$)"
+        elif "RegPtRawRes" in var:
+            unit = " Resoultion"
+    elif "ProbaN" in var:
+        unit = "Neg. Jet Probability"
+    elif "Proba" in var:
+        unit = "Jet Probability"
+    elif "BprobN" in var:
+        unit = "Neg. b-Jet Probability"
+    elif "Bprob" in var:
+        unit = "b-Jet Probability"
+    label = obj + unit
+    if var.endswith("0") or "jet0" in var:
+        if "btagDeepFlav" not in var:
+            label = label.replace("Jet", "$1^{st}$-Jet")
+        else:
+            label = label.replace("Jet", "$1^{st}$-Jet", 1)
+    elif var.endswith("1") or "jet1" in var:
+        if "btagDeepFlav" not in var:
+            label = label.replace("Jet", "$2^{nd}$-Jet")
+        else:
+            label = label.replace("Jet", "$2^{nd}$-Jet", 1)
+    elif var.endswith("2") or "jet2" in var:
+        if "btagDeepFlav" not in var:
+            label = label.replace("Jet", "$3^{rd}$-Jet")
+        else:
+            label = label.replace("Jet", "$3^{rd}$-Jet", 1)
+    elif var.endswith("3") or "jet3" in var:
+        if "btagDeepFlav" not in var:
+            label = label.replace("Jet", "$4^{th}$-Jet")
+        else:
+            label = label.replace("Jet", "$4^{th}$-Jet", 1)
+    if "ptratio" in var:
+        if var == "hl_ptratio":
+            label = "$p_T^{\\ell_1}/p_T^{Jet}$"
+        if var == "sl_ptratio":
+            label = "$p_T^{\\ell_2}/p_T^{Jet}$"
+        if var == "soft_l_ptratio":
+            label = "$p_T^{soft-\\mu}/p_T^{Jet}$"
+    return label
diff --git a/src/BTVNanoCommissioning/helpers/update_branch.py b/src/BTVNanoCommissioning/helpers/update_branch.py
index 1bb8b4fa..c667b5e3 100644
--- a/src/BTVNanoCommissioning/helpers/update_branch.py
+++ b/src/BTVNanoCommissioning/helpers/update_branch.py
@@ -9,20 +9,39 @@ def missing_branch(events):
         if hasattr(events, "fixedGridRhoFastjetAll")
         else events.Rho.fixedGridRhoFastjetAll
     )
-
-    if not hasattr(events.Jet, "btagDeepFlavC"):
+    if not hasattr(events.Jet, "btagDeepFlavB"):
+        jets = events.Jet
+        jets["btagDeepFlavB"] = (
+            events.Jet.btagDeepFlavB_b
+            + events.Jet.btagDeepFlavB_bb
+            + events.Jet.btagDeepFlavB_lepb
+        )
+        events.Jet = update(
+            events.Jet,
+            {"btagDeepFlavB": jets.btagDeepFlavB},
+        )
+    if hasattr(events.Jet, "btagDeepFlavCvL") and not hasattr(
+        events.Jet, "btagDeepFlavC"
+    ):
         jets = events.Jet
         jets["btagDeepFlavC"] = (
             events.Jet.btagDeepFlavCvL / (1.0 - events.Jet.btagDeepFlavCvL)
         ) * events.Jet.btagDeepFlavB
+        events.Jet = update(
+            events.Jet,
+            {"btagDeepFlavC": jets.btagDeepFlavC},
+        )
+    if hasattr(events.Jet, "btagDeepCvL") and not hasattr(events.Jet, "btagDeepC"):
         jets["btagDeepC"] = (
             events.Jet.btagDeepCvL / (1.0 - events.Jet.btagDeepCvL)
         ) * events.Jet.btagDeepB
         events.Jet = update(
             events.Jet,
-            {"btagDeepFlavC": jets.btagDeepFlavC, "btagDeepC": jets.btagDeepC},
+            {"btagDeepC": jets.btagDeepC},
         )
-    if not hasattr(events.Jet, "btagDeepFlavCvL"):
+    if hasattr(events.Jet, "btagDeepFlavC") and not hasattr(
+        events.Jet, "btagDeepFlavCvL"
+    ):
         jets = events.Jet
         jets["btagDeepFlavCvL"] = np.maximum(
             np.minimum(
@@ -57,6 +76,21 @@ def missing_branch(events):
             ),
             -1,
         )
+        events.Jet = update(
+            events.Jet,
+            {
+                "btagDeepFlavCvL": jets.btagDeepFlavCvL,
+                "btagDeepFlavCvB": jets.btagDeepFlavCvB,
+            },
+        )
+    if not hasattr(events.Jet, "btagDeepB"):
+        jets = events.Jet
+        jets["btagDeepB"] = events.Jet.btagDeepB_b + events.Jet.btagDeepB_bb
+        events.Jet = update(
+            events.Jet,
+            {"btagDeepB": jets.btagDeepB},
+        )
+    if hasattr(events.Jet, "btagDeepC") and not hasattr(events.Jet, "btagDeepCvL"):
         jets["btagDeepCvL"] = np.maximum(
             np.minimum(
                 np.where(
@@ -85,8 +119,6 @@ def missing_branch(events):
         events.Jet = update(
             events.Jet,
             {
-                "btagDeepFlavCvL": jets.btagDeepFlavCvL,
-                "btagDeepFlavCvB": jets.btagDeepFlavCvB,
                 "btagDeepCvL": jets.btagDeepCvL,
                 "btagDeepCvB": jets.btagDeepCvB,
             },
diff --git a/src/BTVNanoCommissioning/helpers/xs_scaler.py b/src/BTVNanoCommissioning/helpers/xs_scaler.py
index 4feaba8e..112db5f8 100644
--- a/src/BTVNanoCommissioning/helpers/xs_scaler.py
+++ b/src/BTVNanoCommissioning/helpers/xs_scaler.py
@@ -3,6 +3,8 @@
 from coffea.processor import accumulate
 import os
 from BTVNanoCommissioning.helpers.xsection import xsection
+
+# from BTVNanoCommissioning.helpers.xsection_13TeV import xsection_13TeV
 import numpy as np
 
 
@@ -29,62 +31,27 @@ def scaleSumW(output, lumi):
             xs_dict[obj["process_name"]] = xs_dict[obj["process_name"]] * float(
                 obj["kFactor"]
             )
-    duplicated_name = False
-    sumw = {}
-    flist = []
-    for f in output.keys():
-        flist.extend([m for m in output[f].keys() if "Run" not in m])
-    for files in output.keys():
-        if "sumw" not in output[files].keys() and len(flist) != len(set(flist)):
-            duplicated_name = True
-            for sample in output[files].keys():
-                if "Run" in str(output[files][sample]):
-                    continue
-                if sample in sumw.keys():
-                    sumw[sample] = sumw[sample] + float(output[files][sample]["sumw"])
+    merged = {}
+    merged_output = accumulate([output[f] for f in output.keys()])
+
+    for sample, accu in merged_output.items():
+        scaled[sample] = {}
+        for key, h_obj in accu.items():
+            scaled[sample]["sumw"] = merged_output[sample]["sumw"]
+            if isinstance(h_obj, hist.Hist):
+                h = copy.deepcopy(h_obj)
+                if sample in xs_dict.keys():
+                    h = h * xs_dict[sample] * lumi / merged_output[sample]["sumw"]
                 else:
-                    sumw[sample] = float(output[files][sample]["sumw"])
-    for files in output.keys():
-        if "sumw" not in output[files].keys():
-            scaled[files] = {}
-            for sample, accu in output[files].items():
-                scaled[files][sample] = {}
-                scaled[files][sample]["sumw"] = output[files][sample]["sumw"]
-                if duplicated_name:
-                    scaled[files][sample]["sumw"] = sumw[sample]
-                for key, h_obj in accu.items():
-                    if isinstance(h_obj, hist.Hist):
-                        h = copy.deepcopy(h_obj)
-                        if sample in xs_dict.keys():
-                            h = (
-                                h
-                                * xs_dict[sample]
-                                * lumi
-                                / scaled[files][sample]["sumw"]
-                            )
-                        else:
-                            if not (("data" in sample) or ("Run" in sample)):
-                                raise KeyError(sample, "is not found in xsection.py")
-                            else:
-                                h = h
-                        scaled[files][sample][key] = h
-        else:
-            for sample, accu in output[files].items():
-                scaled[sample] = {}
-                for key, h_obj in accu.items():
-                    scaled[sample]["sumw"] = output[files]["sumw"]
-                    if isinstance(h_obj, hist.Hist):
-                        h = copy.deepcopy(h_obj)
-                        if sample in xs_dict.keys():
-                            h = h * xs_dict[sample] * lumi / output[files]["sumw"]
-                        else:
-                            if not (("data" in sample) or ("Run" in sample)) or (
-                                "Double" in sample
-                            ):
-                                raise KeyError(sample, "is not found in xsection.py")
-                            else:
-                                h = h
-                    scaled[sample][key] = h
+                    if ("data" in sample) or ("Run" in sample) or ("Double" in sample):
+                        h = h
+                    else:
+                        raise KeyError(
+                            sample,
+                            "is not found in xsection.py. If you're using 13TeV samples, please use xsection_13TeV.py",
+                        )
+
+                scaled[sample][key] = h
     return scaled
 
 
@@ -118,19 +85,11 @@ def additional_scale(output, scale, sample_to_scale):
     return scaled
 
 
-def collate(output, mergemap):
+def collate(merged_output, mergemap):
     out = {}
-    merged = {}
-    merged_output = accumulate([output[f] for f in output.keys()])
-    for files in merged_output.keys():
-        if "sumw" not in merged_output[files].keys():
-            for m in output[files].keys():
-                merged[m] = dict(merged_output[files][m].items())
-        else:
-            merged[files] = dict(merged_output[files].items())
     for group, names in mergemap.items():
         out[group] = accumulate(
-            [v for k, v in merged.items() if k.split("_FNAME_")[0] in names]
+            [v for k, v in merged_output.items() if k.split("_FNAME_")[0] in names]
         )
     return out
 
diff --git a/src/BTVNanoCommissioning/helpers/xsection.py b/src/BTVNanoCommissioning/helpers/xsection.py
index a340b173..ff4c90fd 100644
--- a/src/BTVNanoCommissioning/helpers/xsection.py
+++ b/src/BTVNanoCommissioning/helpers/xsection.py
@@ -1,1188 +1,4 @@
 xsection = [
-    {
-        "id": "61641f28294617432cff1379",
-        "process_name": "QCD_Pt-30to50_EMEnriched_TuneCP5_13TeV_pythia8",
-        "cross_section": "6447000.0",
-        "total_uncertainty": "19870.0",
-        "equivalent_lumi": "0.0001551",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "61641f29294617432cff137a",
-        "process_name": "QCD_Pt-50to80_EMEnriched_TuneCP5_13TeV_pythia8",
-        "cross_section": "1988000.0",
-        "total_uncertainty": "5961.0",
-        "equivalent_lumi": "0.0005029",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "61641f2a294617432cff137b",
-        "process_name": "QCD_Pt-80to120_EMEnriched_TuneCP5_13TeV_pythia8",
-        "cross_section": "367500.0",
-        "total_uncertainty": "1091.0",
-        "equivalent_lumi": "0.002721",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "61641f25294617432cff1374",
-        "process_name": "QCD_Pt-120to170_EMEnriched_TuneCP5_13TeV_pythia8",
-        "cross_section": "66590.0",
-        "total_uncertainty": "196.6",
-        "equivalent_lumi": "0.01502",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "61641f26294617432cff1376",
-        "process_name": "QCD_Pt-170to300_EMEnriched_TuneCP5_13TeV_pythia8",
-        "cross_section": "16620.0",
-        "total_uncertainty": "49.1",
-        "equivalent_lumi": "0.06016",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "61641f28294617432cff1378",
-        "process_name": "QCD_Pt-300toInf_EMEnriched_TuneCP5_13TeV_pythia8",
-        "cross_section": "1104.0",
-        "total_uncertainty": "3.282",
-        "equivalent_lumi": "0.9057",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa73f368576cbd3d4d07",
-        "process_name": "QCD_Pt-15To20_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "3820000",
-        "total_uncertainty": "8817.0",
-        "DAS": "/QCD_Pt-15to20_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa76f368576cbd3d4d0c",
-        "process_name": "QCD_Pt-20To30_MuEnrichedPt5_TuneCP5_13TeV-pythia8",
-        "cross_section": "2960000",
-        "total_uncertainty": "7955.0",
-        "DAS": "/QCD_Pt-20to30_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa79f368576cbd3d4d10",
-        "process_name": "QCD_Pt-30To50_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "1652471",
-        "total_uncertainty": "4275.0",
-        "DAS": "/QCD_Pt-30to50_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa7cf368576cbd3d4d15",
-        "process_name": "QCD_Pt-50To80_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "437504",
-        "total_uncertainty": "1178.0",
-        "DAS": "/QCD_Pt-50to80_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa7df368576cbd3d4d16",
-        "process_name": "QCD_Pt-80To120_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "106033",
-        "total_uncertainty": "276.1",
-        "DAS": "/QCD_Pt-80to120_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa71f368576cbd3d4d05",
-        "process_name": "QCD_Pt-120To170_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "24720",
-        "total_uncertainty": "65.63",
-        "DAS": "/QCD_Pt-120to170_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa75f368576cbd3d4d0a",
-        "process_name": "QCD_Pt-170To300_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "8654",
-        "total_uncertainty": "21.62",
-        "DAS": "/QCD_Pt-170to300_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5f6c27c8f368571e6ae3c3c5",
-        "process_name": "QCD_Pt-300To470_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "797",
-        "total_uncertainty": "1.889",
-        "DAS": "/QCD_Pt-300to470_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aa7bf368576cbd3d4d13",
-        "process_name": "QCD_Pt-470To600_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": " 79",
-        "total_uncertainty": "0.1789",
-        "DAS": "/QCD_Pt-470to600_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5f6c27c9f368571e6ae3c3c6",
-        "process_name": "QCD_Pt-600To800_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "25",
-        "total_uncertainty": "0.05469",
-        "DAS": "/QCD_Pt-600to800_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "MCM": "BTV-RunIIFall17MiniAODv2-00070",
-        "equivalent_lumi": "54.91",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "5f6c27c9f368571e6ae3c3c7",
-        "process_name": "QCD_Pt-800To1000_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "4.7",
-        "total_uncertainty": "0.009809",
-        "DAS": "/QCD_Pt-800to1000_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "MCM": "BTV-RunIIFall17MiniAODv2-00071",
-        "equivalent_lumi": "305.3",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "5f6c27c5f368571e6ae3c3bf",
-        "process_name": "QCD_Pt-1000_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
-        "cross_section": "1.6",
-        "total_uncertainty": "0.003236",
-        "DAS": "/QCD_Pt-1000toInf_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
-    {
-        "id": "5f695547f368571e6ae3bb23",
-        "process_name": "GluGluHToZZTo2L2Nu_M125_TuneCP5_13TeV_powheg2_JHUGenV735_pythia8",
-        "cross_section": "28.87",
-        "total_uncertainty": "0.02027",
-        "accuracy": "NLO",
-        "equivalent_lumi": "33.89",
-        "fraction_negative_weight": "0.00544",
-        "matrix_generator": "Powheg",
-        "energy": "13",
-    },
-    {
-        "id": "5b44a986f368576cbd3d4ba7",
-        "process_name": "GluGluHToZZTo2L2Q_M125_TuneCP5_13TeV_powheg2_JHUGenV7011_pythia8",
-        "cross_section": "28.87",
-        "total_uncertainty": "0.02027",
-        "accuracy": "NLO",
-        "equivalent_lumi": "33.89",
-        "fraction_negative_weight": "0.005416",
-        "energy": "13",
-    },
-    {
-        "id": "5f695539f368571e6ae3bb0a",
-        "process_name": "GluGluHToWWToLNuQQ_M125_TuneCP5_PSweight_13TeV-powheg2-jhugen727-pythia8",
-        "cross_section": "28.87",
-        "total_uncertainty": "0.02027",
-        "accuracy": "NLO",
-        "equivalent_lumi": "33.92",
-        "fraction_negative_weight": "0.00522",
-        "matrix_generator": "Powheg",
-        "energy": "13",
-    },
-    {
-        "id": "61641e96294617432cff12a8",
-        "process_name": "GluGluHToWWTo2L2Nu_M-125_TuneCP5_13TeV-powheg-jhugen727-pythia8",
-        "cross_section": "0.9913",
-        "total_uncertainty": "0.01033",
-        "accuracy": "NLO",
-        "equivalent_lumi": "46.56",
-        "fraction_negative_weight": "2e-05",
-        "matrix_generator": "Powheg",
-        "energy": "13",
-    },
-    {
-        "id": "61641eb3294617432cff12d2",
-        "process_name": "GluGluZH_HToWWTo2L2Nu_M-125_TuneCP5_13TeV-powheg-pythia8",
-        "cross_section": "0.00275",
-        "total_uncertainty": "6.738e-05",
-        "accuracy": "NLO",
-        "DAS": "/GluGluZH_HToWWTo2L2Nu_M-125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v1/MINIAODSIM",
-        "MCM": "HIG-RunIISummer20UL16MiniAOD-00802",
-        "equivalent_lumi": "16230.0",
-        "matrix_generator": "Powheg",
-        "energy": "13",
-    },
-    {
-        "id": "5f819e4ef368571e6ae3e83d",
-        "process_name": "VBFHToWWTo2L2Nu_M125_TuneCP5_13TeV_powheg2_JHUGenV714_pythia8_withDipoleRecoil",
-        "cross_section": "0.0846",
-        "total_uncertainty": "0.01573",
-        "accuracy": "NLO",
-        "DAS": "/VBFHToWWTo2L2Nu_M125_TuneCP5_13TeV_powheg2_JHUGenV714_pythia8_withDipoleRecoil/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic_v15-v1/MINIAODSIM",
-        "MCM": "HIG-RunIIAutumn18MiniAOD-02997",
-        "equivalent_lumi": "257.1",
-        "fraction_negative_weight": "0.00071",
-        "matrix_generator": "Powheg",
-        "energy": "13",
-    },
-    {
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-        "process_name": "DYJetsToLL_Pt-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
-        "cross_section": "0.04704",
-        "total_uncertainty": "0.0002513",
-        "DAS": "/DYJetsToLL_Pt-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v2/MINIAODSIM",
-        "MCM": "SMP-RunIISummer20UL16MiniAOD-00051",
-        "equivalent_lumi": "4373.0",
-        "fraction_negative_weight": "0.2732",
-        "matrix_generator": "none",
-        "energy": "13",
-        "comments": "https://cms-gen-dev.cern.ch/xsdb/?columns=40632192&currentPage=0&pageSize=10&searchQuery=process_name%3DDYJetsToLL_Pt-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
-    },
-    {
-        "id": "5b44ab37f368576cbd3d4e20",
-        "process_name": "TTToHadronic_TuneCP5_13TeV-powheg-pythia8",
-        "cross_section": "378.9",
-        "total_uncertainty": "0.5174",
-        "DAS": "/TTToHadronic_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44ab2cf368576cbd3d4e0f",
-        "process_name": "TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8",
-        "cross_section": "88.51",
-        "total_uncertainty": "0.5174",
-        "DAS": "/TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "fraction_negative_weight": "0.004373",
-        "energy": "13",
-    },
-    {
-        "id": "5b44ab3df368576cbd3d4e2a",
-        "process_name": "TTToSemiLeptonic_TuneCP5_13TeV-powheg-pythia8",
-        "cross_section": "366.3",
-        "total_uncertainty": "0.5174",
-        "DAS": "/TTToSemiLeptonic_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v2/MINIAODSIM",
-        "fraction_negative_weight": "0.003957",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aad2f368576cbd3d4d90",
-        "process_name": "ST_tW_top_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8",
-        "cross_section": "39.65",
-        "total_uncertainty": "0.02817",
-        "DAS": "/ST_tW_top_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "fraction_negative_weight": "0.003758",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aacef368576cbd3d4d8b",
-        "process_name": "ST_tW_antitop_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8",
-        "cross_section": "39.65",
-        "total_uncertainty": "0.02827",
-        "DAS": "/ST_tW_antitop_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "fraction_negative_weight": "0.0034",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aacbf368576cbd3d4d86",
-        "process_name": "ST_t-channel_top_4f_InclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
-        "cross_section": "134.2",
-        "total_uncertainty": "0.6404",
-        "DAS": "/ST_t-channel_top_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aac8f368576cbd3d4d82",
-        "process_name": "ST_t-channel_antitop_4f_InclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
-        "cross_section": "80.0",
-        "total_uncertainty": "0.3487",
-        "DAS": "/ST_t-channel_antitop_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aacbf368576cbd3d4d86",
-        "process_name": "ST_t-channel_top_4f_inclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
-        "cross_section": "134.2",
-        "total_uncertainty": "0.6404",
-        "DAS": "/ST_t-channel_top_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aac8f368576cbd3d4d82",
-        "process_name": "ST_t-channel_antitop_4f_inclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
-        "cross_section": "80.0",
-        "total_uncertainty": "0.3487",
-        "DAS": "/ST_t-channel_antitop_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "energy": "13",
-    },
-    {
-        "id": "5b44aac4f368576cbd3d4d7d",
-        "process_name": "ST_s-channel_4f_leptonDecays_TuneCP5_13TeV-amcatnlo-pythia8",
-        "cross_section": "3.74",
-        "total_uncertainty": "0.003533",
-        "DAS": "/ST_s-channel_4f_leptonDecays_TuneCP5_13TeV-amcatnlo-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "fraction_negative_weight": "0.1875",
-        "energy": "13",
-    },
-    {
-        "id": "5f6c2a01f368571e6ae3c791",
-        "process_name": "ST_s-channel_4f_hadronicDecays_TuneCP5_13TeV-amcatnlo-pythia8",
-        "cross_section": "11.24",
-        "total_uncertainty": "0.0108",
-        "DAS": "/ST_s-channel_4f_hadronicDecays_TuneCP5_13TeV-amcatnlo-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
-        "fraction_negative_weight": "0.1867",
-        "matrix_generator": "none",
-        "energy": "13",
-    },
     {
         "process_name": "DYJetsToLL_M-10to50_TuneCP5_13p6TeV-madgraphMLM-pythia8",
         "cross_section": "19317.5",
@@ -1192,7 +8,7 @@
     },
     {
         "process_name": "DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8",
-        "cross_section": "6221.3",
+        "cross_section": "6346",
         "DAS": "/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/Run3Winter22NanoAOD-122X_mcRun3_2021_realistic_v9_ext1-v1/NANOAODSIM",
         "energy": "13.6",
         "comment": "from TOP-22-012",
@@ -1239,6 +55,24 @@
         "energy": "13.6",
         "comment": "from TOP-22-012",
     },
+    {
+        "process_name": "TbarWplusto4Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "10.8",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "TbarWplustoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "10.7",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "TbarWplusto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "2.62",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
     {
         "process_name": "TWminus_DR_AtLeastOneLepton_CP5_13p6TeV_powheg-pythia8",
         "cross_section": "24.2",
@@ -1253,6 +87,24 @@
         "energy": "13.6",
         "comment": "from TOP-22-012",
     },
+    {
+        "process_name": "TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "10.8",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "TWminustoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "10.7",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "TWminusto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "2.62",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
     {
         "process_name": "TTTo2L2Nu_CP5_13p6TeV_powheg-pythia8",
         "cross_section": "96.9",
@@ -1275,18 +127,29 @@
     },
     {
         "process_name": "TTToSemiLeptonic_TuneCP5_13p6TeV-powheg-pythia8",
-        "cross_section": "761.9",
+        "cross_section": "422.3",
         "DAS": "/TTToSemiLeptonic_TuneCP5_13p6TeV-powheg-pythia8/Run3Winter22NanoAOD-FlatPU0to70_pilot_122X_mcRun3_2021_realistic_v9-v1/NANOAODSIM",
         "energy": "13.6",
         "comment": "from GenXSecAnalyzer",
     },
     {
         "process_name": "TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8",
-        "cross_section": "761.9",
+        "cross_section": "422.3",
         "DAS": "/TTToSemiLeptonic_TuneCP5_13p6TeV-powheg-pythia8/Run3Winter22NanoAOD-FlatPU0to70_pilot_122X_mcRun3_2021_realistic_v9-v1/NANOAODSIM",
         "energy": "13.6",
         "comment": "from GenXSecAnalyzer",
     },
+    {
+        "id": "6420506329461764a903c1c9",
+        "process_name": "TTto4Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "404.4",
+        "total_uncertainty": "0.1345",
+        "accuracy": "NLO",
+        "DAS": "/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v4/MINIAODSIM",
+        "equivalent_lumi": "1.292",
+        "fraction_negative_weight": "0.003854",
+        "comments": "Automatically computed",
+    },
     {
         "process_name": "WJetsToLNu_TuneCP5_13p6TeV-madgraphMLM-pythia8",
         "cross_section": "63199.9",
@@ -1301,25 +164,481 @@
         "energy": "13.6",
         "comment": "from TOP-22-012",
     },
+    {
+        "process_name": "WtoLNu-4Jets_1J_TuneCP5_13p6TeV_madgraphMLM-pythia8",
+        "cross_section": "9193",
+        "DAS": "/WtoLNu-4Jets_1J_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22NanoAODv11-126X_mcRun3_2022_realistic_v2-v2/NANOAODSIM",
+        "energy": "13.6",
+        "comment": "running genxsanalyzer",
+    },
+    {
+        "process_name": "WtoLNu-4Jets_2J_TuneCP5_13p6TeV_madgraphMLM-pythia8",
+        "cross_section": "2944",
+        "DAS": "/WtoLNu-4Jets_2J_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22NanoAODv11-126X_mcRun3_2022_realistic_v2-v2/NANOAODSIM",
+        "energy": "13.6",
+        "comment": "running genxsanalyzer",
+    },
+    {
+        "process_name": "WtoLNu-4Jets_3J_TuneCP5_13p6TeV_madgraphMLM-pythia8",
+        "cross_section": "868.2",
+        "DAS": "/WtoLNu-4Jets_3J_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22NanoAODv11-126X_mcRun3_2022_realistic_v2-v2/NANOAODSIM",
+        "energy": "13.6",
+        "comment": "running genxsanalyzer",
+    },
     {
         "process_name": "WW_TuneCP5_13p6TeV-pythia8",
-        "cross_section": "173.4",
-        "DAS": "/WW_TuneCP5_13p6TeV-pythia8/Run3Winter22MiniAOD-FlatPU0to70_122X_mcRun3_2021_realistic_v9-v2//NANOAODSIM",
+        "cross_section": "75.9",
+        "DAS": "/WW_TuneCP5_13p6TeV-pythia8/Run3Winter22MiniAOD-FlatPU0to70_122X_mcRun3_2021_realistic_v9-v2/NANOAODSIM",
         "energy": "13.6",
         "comment": "from TOP-22-012",
     },
     {
         "process_name": "WZ_TuneCP5_13p6TeV-pythia8",
-        "cross_section": "54.3",
-        "DAS": "/WZ_TuneCP5_13p6TeV-pythia8/Run3Winter22MiniAOD-FlatPU0to70_122X_mcRun3_2021_realistic_v9-v2//NANOAODSIM",
+        "cross_section": "27.6",
+        "DAS": "/WZ_TuneCP5_13p6TeV-pythia8/Run3Winter22MiniAOD-FlatPU0to70_122X_mcRun3_2021_realistic_v9-v2/NANOAODSIM",
         "energy": "13.6",
         "comment": "from TOP-22-012",
     },
     {
         "process_name": "ZZ_TuneCP5_13p6TeV-pythia8",
-        "cross_section": "16.7",
-        "DAS": "/ZZ_TuneCP5_13p6TeV-pythia8/Run3Winter22MiniAOD-FlatPU0to70_122X_mcRun3_2021_realistic_v9-v2//NANOAODSIM",
+        "cross_section": "12.17",
+        "DAS": "/ZZ_TuneCP5_13p6TeV-pythia8/Run3Winter22MiniAOD-FlatPU0to70_122X_mcRun3_2021_realistic_v9-v2/NANOAODSIM",
         "energy": "13.6",
         "comment": "from TOP-22-012",
     },
+    {
+        "process_name": "ZZto2L2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "2.36",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "ZZto2Nu2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "4.48",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "ZZto4L_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "0.170",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "ZZto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "0.674",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "WZtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "12.368",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "WZto2L2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "3.696",
+        "energy": "13.6",
+        "comment": "from GenXSAnalyzer",
+    },
+    {
+        "process_name": "WZto3LNu_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "1.786",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "WWto4Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "78.79",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "WWtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "76.16",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    {
+        "process_name": "WWto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8",
+        "cross_section": "18.41",
+        "energy": "13.6",
+        "comment": "from TOP-22-012 with PDG 2023 value",
+    },
+    ## numbers from Denise Muller
+    {
+        "DAS": "/QCD_PT-15to30_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-15to30_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "1301000000.0",
+        "energy": "13p6",
+        "total_uncertainty": "2135000.0",
+        "equivalent_lumi": "7.684e-07",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "JME-Run3Summer22MiniAODv3-01052",
+    },
+    {
+        "DAS": "/QCD_PT-30to50_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-30to50_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "113100000.0",
+        "energy": "13p6",
+        "total_uncertainty": "186400.0",
+        "equivalent_lumi": "8.839e-06",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "JME-Run3Summer22MiniAODv3-01051",
+    },
+    {
+        "DAS": "/QCD_PT-50to80_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-50to80_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "16760000.0",
+        "energy": "13p6",
+        "total_uncertainty": "27450.0",
+        "equivalent_lumi": "5.966e-05",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00041",
+    },
+    {
+        "DAS": "/QCD_PT-80to120_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-80to120_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "2514000.0",
+        "energy": "13p6",
+        "total_uncertainty": "4155.0",
+        "equivalent_lumi": "0.0003977",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00042",
+    },
+    {
+        "DAS": "/QCD_PT-120to170_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-120to170_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "442300.0",
+        "energy": "13p6",
+        "total_uncertainty": "694.5",
+        "equivalent_lumi": "0.002261",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00043",
+    },
+    {
+        "DAS": "/QCD_PT-170to300_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-170to300_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "113400.0",
+        "energy": "13p6",
+        "total_uncertainty": "175.7",
+        "equivalent_lumi": "0.00882",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00044",
+    },
+    {
+        "DAS": "/QCD_PT-300to470_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-300to470_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "7610.0",
+        "energy": "13p6",
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+        "equivalent_lumi": "0.1314",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00045",
+    },
+    {
+        "DAS": "/QCD_PT-470to600_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-470to600_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "626.6",
+        "energy": "13p6",
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+        "equivalent_lumi": "1.596",
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+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00046",
+    },
+    {
+        "DAS": "/QCD_PT-600to800_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-600to800_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "179.5",
+        "energy": "13p6",
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+        "equivalent_lumi": "5.571",
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+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00105",
+    },
+    {
+        "DAS": "/QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "30.69",
+        "energy": "13p6",
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+        "equivalent_lumi": "32.59",
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+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00106",
+    },
+    {
+        "DAS": "/QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "8.956",
+        "energy": "13p6",
+        "total_uncertainty": "0.01354",
+        "equivalent_lumi": "111.7",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00107",
+    },
+    {
+        "DAS": "/QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "0.8112",
+        "energy": "13p6",
+        "total_uncertainty": "0.001218",
+        "equivalent_lumi": "1233.0",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00108",
+    },
+    {
+        "DAS": "/QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "0.1152",
+        "energy": "13p6",
+        "total_uncertainty": "0.0001783",
+        "equivalent_lumi": "8684.0",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00109",
+    },
+    {
+        "DAS": "/QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "0.007574",
+        "energy": "13p6",
+        "total_uncertainty": "1.208e-05",
+        "equivalent_lumi": "132000.0",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00110",
+    },
+    {
+        "DAS": "/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-3200_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "0.0002313",
+        "energy": "13p6",
+        "total_uncertainty": "3.835e-07",
+        "equivalent_lumi": "4323000.0",
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+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "TSG-Run3Summer22MiniAODv3-00111",
+    },
+    {
+        "DAS": "/QCD_PT-15to20_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-15to20_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
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+        "cross_section": "2956000.0",
+        "energy": "13p6",
+        "total_uncertainty": "9310.0",
+        "equivalent_lumi": "0.0003383",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00004",
+    },
+    {
+        "DAS": "/QCD_PT-20to30_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-20to30_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "2689000.0",
+        "energy": "13p6",
+        "total_uncertainty": "8473.0",
+        "equivalent_lumi": "0.0003718",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00005",
+    },
+    {
+        "DAS": "/QCD_PT-30to50_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-30to50_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "1442000.0",
+        "energy": "13p6",
+        "total_uncertainty": "4514.0",
+        "equivalent_lumi": "0.0006936",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00006",
+    },
+    {
+        "DAS": "/QCD_PT-50to80_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v2/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-50to80_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "405800.0",
+        "energy": "13p6",
+        "total_uncertainty": "1270.0",
+        "equivalent_lumi": "0.002464",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00032",
+    },
+    {
+        "DAS": "/QCD_PT-80to120_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-80to120_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "96060.0",
+        "energy": "13p6",
+        "total_uncertainty": "298.6",
+        "equivalent_lumi": "0.01041",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00007",
+    },
+    {
+        "id": "64204f9b29461764a903c08e",
+        "process_name": "QCD_Pt-120To170_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "cross_section": "22980.0",
+        "total_uncertainty": "215.1",
+        "accuracy": "unknown",
+        "DAS": "/QCD_Pt-120To170_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "equivalent_lumi": "0.04352",
+        "fraction_negative_weight": "0.0",
+    },
+    {
+        "DAS": "/QCD_PT-170to300_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-170to300_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
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+        "energy": "13p6",
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+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00009",
+    },
+    {
+        "DAS": "/QCD_PT-300to470_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-300to470_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
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+        "cross_section": "701.4",
+        "energy": "13p6",
+        "total_uncertainty": "2.116",
+        "equivalent_lumi": "1.426",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00010",
+    },
+    {
+        "DAS": "/QCD_PT-470to600_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-470to600_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "68.24",
+        "energy": "13p6",
+        "total_uncertainty": "0.2049",
+        "equivalent_lumi": "14.65",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00011",
+    },
+    {
+        "DAS": "/QCD_PT-600to800_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-600to800_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
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+        "cross_section": "21.23",
+        "energy": "13p6",
+        "total_uncertainty": "0.06332",
+        "equivalent_lumi": "47.11",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00012",
+    },
+    {
+        "DAS": "/QCD_PT-800to1000_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v1/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-800to1000_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "3.9",
+        "energy": "13p6",
+        "total_uncertainty": "0.01157",
+        "equivalent_lumi": "256.4",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00013",
+    },
+    {
+        "DAS": "/QCD_PT-1000_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8/Run3Summer22MiniAODv3-124X_mcRun3_2022_realistic_v12-v3/MINIAODSIM",
+        "comments": "Automatically computed",
+        "process_name": "QCD_PT-1000_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8",
+        "accuracy": "unknown",
+        "cross_section": "1.323",
+        "energy": "13p6",
+        "total_uncertainty": "0.003921",
+        "equivalent_lumi": "756.0",
+        "fraction_negative_weight": "0.0",
+        "matrix_generator": "none",
+        "shower": "Pythia8",
+        "MCM": "BTV-Run3Summer22MiniAODv3-00014",
+    },
 ]
diff --git a/src/BTVNanoCommissioning/helpers/xsection_13TeV.py b/src/BTVNanoCommissioning/helpers/xsection_13TeV.py
new file mode 100644
index 00000000..ab99430a
--- /dev/null
+++ b/src/BTVNanoCommissioning/helpers/xsection_13TeV.py
@@ -0,0 +1,1193 @@
+xsection_13TeV = [
+    {
+        "id": "61641f28294617432cff1379",
+        "process_name": "QCD_Pt-30to50_EMEnriched_TuneCP5_13TeV_pythia8",
+        "cross_section": "6447000.0",
+        "total_uncertainty": "19870.0",
+        "equivalent_lumi": "0.0001551",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "61641f29294617432cff137a",
+        "process_name": "QCD_Pt-50to80_EMEnriched_TuneCP5_13TeV_pythia8",
+        "cross_section": "1988000.0",
+        "total_uncertainty": "5961.0",
+        "equivalent_lumi": "0.0005029",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "61641f2a294617432cff137b",
+        "process_name": "QCD_Pt-80to120_EMEnriched_TuneCP5_13TeV_pythia8",
+        "cross_section": "367500.0",
+        "total_uncertainty": "1091.0",
+        "equivalent_lumi": "0.002721",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "61641f25294617432cff1374",
+        "process_name": "QCD_Pt-120to170_EMEnriched_TuneCP5_13TeV_pythia8",
+        "cross_section": "66590.0",
+        "total_uncertainty": "196.6",
+        "equivalent_lumi": "0.01502",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "61641f26294617432cff1376",
+        "process_name": "QCD_Pt-170to300_EMEnriched_TuneCP5_13TeV_pythia8",
+        "cross_section": "16620.0",
+        "total_uncertainty": "49.1",
+        "equivalent_lumi": "0.06016",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "61641f28294617432cff1378",
+        "process_name": "QCD_Pt-300toInf_EMEnriched_TuneCP5_13TeV_pythia8",
+        "cross_section": "1104.0",
+        "total_uncertainty": "3.282",
+        "equivalent_lumi": "0.9057",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa73f368576cbd3d4d07",
+        "process_name": "QCD_Pt-15To20_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "3820000",
+        "total_uncertainty": "8817.0",
+        "DAS": "/QCD_Pt-15to20_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa76f368576cbd3d4d0c",
+        "process_name": "QCD_Pt-20To30_MuEnrichedPt5_TuneCP5_13TeV-pythia8",
+        "cross_section": "2960000",
+        "total_uncertainty": "7955.0",
+        "DAS": "/QCD_Pt-20to30_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa79f368576cbd3d4d10",
+        "process_name": "QCD_Pt-30To50_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "1652471",
+        "total_uncertainty": "4275.0",
+        "DAS": "/QCD_Pt-30to50_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa7cf368576cbd3d4d15",
+        "process_name": "QCD_Pt-50To80_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "437504",
+        "total_uncertainty": "1178.0",
+        "DAS": "/QCD_Pt-50to80_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa7df368576cbd3d4d16",
+        "process_name": "QCD_Pt-80To120_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "106033",
+        "total_uncertainty": "276.1",
+        "DAS": "/QCD_Pt-80to120_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa71f368576cbd3d4d05",
+        "process_name": "QCD_Pt-120To170_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "24720",
+        "total_uncertainty": "65.63",
+        "DAS": "/QCD_Pt-120to170_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa75f368576cbd3d4d0a",
+        "process_name": "QCD_Pt-170To300_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "8654",
+        "total_uncertainty": "21.62",
+        "DAS": "/QCD_Pt-170to300_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5f6c27c8f368571e6ae3c3c5",
+        "process_name": "QCD_Pt-300To470_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": "797",
+        "total_uncertainty": "1.889",
+        "DAS": "/QCD_Pt-300to470_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aa7bf368576cbd3d4d13",
+        "process_name": "QCD_Pt-470To600_MuEnrichedPt5_TuneCP5_13TeV_pythia8",
+        "cross_section": " 79",
+        "total_uncertainty": "0.1789",
+        "DAS": "/QCD_Pt-470to600_MuEnrichedPt5_TuneCP5_13TeV_pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
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+    {
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+    {
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+    {
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+    {
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+    {
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+        "MCM": "SMP-RunIIFall17MiniAODv2-00019",
+        "equivalent_lumi": "0.208",
+        "fraction_negative_weight": "0.2771",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "GenXSanalyzer",
+    },
+    {
+        "id": "5f695420f368571e6ae3b91b",
+        "process_name": "DYJetsToLL_LHEFilterPtZ-400To650_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "0.5029",
+        "total_uncertainty": "5.713e-03",
+        "DAS": "/DYJetsToLL_LHEFilterPtZ-400To650_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL17NanoAODv9-106X_mc2017_realistic_v9-v1/NANOAODSIM",
+        "MCM": "SMP-RunIIFall17MiniAODv2-00019",
+        "equivalent_lumi": "0.208",
+        "fraction_negative_weight": "0.2771",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "GenXSanalyzer",
+    },
+    {
+        "id": "5f695420f368571e6ae3b91b",
+        "process_name": "DYJetsToLL_LHEFilterPtZ-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "0.04782",
+        "total_uncertainty": "5.042e-04",
+        "DAS": "/DYJetsToLL_LHEFilterPtZ-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL17MiniAODv2-106X_mc2017_realistic_v9-v2/MINIAODSIM",
+        "MCM": "SMP-RunIIFall17MiniAODv2-00019",
+        "equivalent_lumi": "",
+        "fraction_negative_weight": "0.2771",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "GENXSanalyzer",
+    },
+    {
+        "id": "60d05b7b2946173d8008686f",
+        "process_name": "DYJetsToLL_Pt-50To100_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "398.8",
+        "total_uncertainty": "2.664",
+        "DAS": "/DYJetsToLL_Pt-50To100_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v2/MINIAODSIM",
+        "MCM": "SMP-RunIISummer20UL16MiniAOD-00047",
+        "equivalent_lumi": "0.3599",
+        "fraction_negative_weight": "0.3106",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "https://cms-gen-dev.cern.ch/xsdb/?columns=40632192&currentPage=0&pageSize=10&searchQuery=process_name%3DDYJetsToLL_Pt-50To100_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+    },
+    {
+        "id": "60d05b752946173d8008686c",
+        "process_name": "DYJetsToLL_Pt-100To250_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "93.61",
+        "total_uncertainty": "0.6145",
+        "DAS": "/DYJetsToLL_Pt-100To250_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v2/MINIAODSIM",
+        "MCM": "SMP-RunIISummer20UL16MiniAOD-00048",
+        "equivalent_lumi": "1.497",
+        "fraction_negative_weight": "0.3129",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "https://cms-gen-dev.cern.ch/xsdb/?columns=40632192&currentPage=0&pageSize=10&searchQuery=process_name%3DDYJetsToLL_Pt-100To250_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+    },
+    {
+        "id": "60d05b772946173d8008686d",
+        "process_name": "DYJetsToLL_Pt-250To400_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "3.67",
+        "total_uncertainty": "0.02248",
+        "DAS": "/DYJetsToLL_Pt-250To400_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v2/MINIAODSIM",
+        "MCM": "SMP-RunIISummer20UL16MiniAOD-00049",
+        "equivalent_lumi": "42.28",
+        "fraction_negative_weight": "0.303",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "https://cms-gen-dev.cern.ch/xsdb/?columns=40632192&currentPage=0&pageSize=10&searchQuery=process_name%3DDYJetsToLL_Pt-250To400_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+    },
+    {
+        "id": "60d05b792946173d8008686e",
+        "process_name": "DYJetsToLL_Pt-400To650_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "0.5",
+        "total_uncertainty": "0.002869",
+        "DAS": "/DYJetsToLL_Pt-400To650_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v2/MINIAODSIM",
+        "MCM": "SMP-RunIISummer20UL16MiniAOD-00050",
+        "equivalent_lumi": "352.3",
+        "fraction_negative_weight": "0.2901",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "https://cms-gen-dev.cern.ch/xsdb/?columns=40632192&currentPage=0&pageSize=10&searchQuery=process_name%3DDYJetsToLL_Pt-400To650_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+    },
+    {
+        "id": "60d05b7e2946173d80086870",
+        "process_name": "DYJetsToLL_Pt-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+        "cross_section": "0.04704",
+        "total_uncertainty": "0.0002513",
+        "DAS": "/DYJetsToLL_Pt-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer20UL16MiniAOD-106X_mcRun2_asymptotic_v13-v2/MINIAODSIM",
+        "MCM": "SMP-RunIISummer20UL16MiniAOD-00051",
+        "equivalent_lumi": "4373.0",
+        "fraction_negative_weight": "0.2732",
+        "matrix_generator": "none",
+        "energy": "13",
+        "comments": "https://cms-gen-dev.cern.ch/xsdb/?columns=40632192&currentPage=0&pageSize=10&searchQuery=process_name%3DDYJetsToLL_Pt-650ToInf_MatchEWPDG20_TuneCP5_13TeV-amcatnloFXFX-pythia8",
+    },
+    {
+        "id": "5b44ab37f368576cbd3d4e20",
+        "process_name": "TTToHadronic_TuneCP5_13TeV-powheg-pythia8",
+        "cross_section": "378.9",
+        "total_uncertainty": "0.5174",
+        "DAS": "/TTToHadronic_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44ab2cf368576cbd3d4e0f",
+        "process_name": "TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8",
+        "cross_section": "88.51",
+        "total_uncertainty": "0.5174",
+        "DAS": "/TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "fraction_negative_weight": "0.004373",
+        "energy": "13",
+    },
+    {
+        "id": "5b44ab3df368576cbd3d4e2a",
+        "process_name": "TTToSemiLeptonic_TuneCP5_13TeV-powheg-pythia8",
+        "cross_section": "366.3",
+        "total_uncertainty": "0.5174",
+        "DAS": "/TTToSemiLeptonic_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v2/MINIAODSIM",
+        "fraction_negative_weight": "0.003957",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aad2f368576cbd3d4d90",
+        "process_name": "ST_tW_top_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8",
+        "cross_section": "39.65",
+        "total_uncertainty": "0.02817",
+        "DAS": "/ST_tW_top_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "fraction_negative_weight": "0.003758",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aacef368576cbd3d4d8b",
+        "process_name": "ST_tW_antitop_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8",
+        "cross_section": "39.65",
+        "total_uncertainty": "0.02827",
+        "DAS": "/ST_tW_antitop_5f_inclusiveDecays_TuneCP5_13TeV-powheg-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "fraction_negative_weight": "0.0034",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aacbf368576cbd3d4d86",
+        "process_name": "ST_t-channel_top_4f_InclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
+        "cross_section": "134.2",
+        "total_uncertainty": "0.6404",
+        "DAS": "/ST_t-channel_top_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aac8f368576cbd3d4d82",
+        "process_name": "ST_t-channel_antitop_4f_InclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
+        "cross_section": "80.0",
+        "total_uncertainty": "0.3487",
+        "DAS": "/ST_t-channel_antitop_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aacbf368576cbd3d4d86",
+        "process_name": "ST_t-channel_top_4f_inclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
+        "cross_section": "134.2",
+        "total_uncertainty": "0.6404",
+        "DAS": "/ST_t-channel_top_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aac8f368576cbd3d4d82",
+        "process_name": "ST_t-channel_antitop_4f_inclusiveDecays_TuneCP5_13TeV-powheg-madspin-pythia8",
+        "cross_section": "80.0",
+        "total_uncertainty": "0.3487",
+        "DAS": "/ST_t-channel_antitop_4f_inclusiveDecays_TuneCP5_13TeV-powhegV2-madspin-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "energy": "13",
+    },
+    {
+        "id": "5b44aac4f368576cbd3d4d7d",
+        "process_name": "ST_s-channel_4f_leptonDecays_TuneCP5_13TeV-amcatnlo-pythia8",
+        "cross_section": "3.74",
+        "total_uncertainty": "0.003533",
+        "DAS": "/ST_s-channel_4f_leptonDecays_TuneCP5_13TeV-amcatnlo-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "fraction_negative_weight": "0.1875",
+        "energy": "13",
+    },
+    {
+        "id": "5f6c2a01f368571e6ae3c791",
+        "process_name": "ST_s-channel_4f_hadronicDecays_TuneCP5_13TeV-amcatnlo-pythia8",
+        "cross_section": "11.24",
+        "total_uncertainty": "0.0108",
+        "DAS": "/ST_s-channel_4f_hadronicDecays_TuneCP5_13TeV-amcatnlo-pythia8/RunIIFall17MiniAODv2-PU2017_12Apr2018_94X_mc2017_realistic_v14-v1/MINIAODSIM",
+        "fraction_negative_weight": "0.1867",
+        "matrix_generator": "none",
+        "energy": "13",
+    },
+]
diff --git a/src/BTVNanoCommissioning/utils/AK4_parameters.py b/src/BTVNanoCommissioning/utils/AK4_parameters.py
index f8cf5615..da3184db 100644
--- a/src/BTVNanoCommissioning/utils/AK4_parameters.py
+++ b/src/BTVNanoCommissioning/utils/AK4_parameters.py
@@ -41,7 +41,7 @@
     },
     "Summer22Run3": {
         "lumiMask": "Cert_Collisions2022_355100_362760_Golden.json",
-        "PU": "puweight_Winter22Run3.histo.root",  # use same 69.2mb for Summer22
+        "PU": "puweight_Winter22Run3-69p2mb.histo.root",  # use same 80.0mb for Summer22
         "JME": "winter_jec_compiled.pkl.gz",  # not this is from Winter22Run3 since this is not yet finished
         "LSF": {
             "mu_json": "ScaleFactors_Muon_trackerMuons_Z_2022_Prompt_ID_ISO_schemaV2.json",
@@ -49,15 +49,15 @@
             "mu_Iso": "NUM_TightPFIso_DEN_TightID",
         },
         "JPCalib": {
-            "Run2022C": "calibeHistoWrite_Data2022F_NANO130X_v1.root",  # to be updated
-            "Run2022D": "calibeHistoWrite_Data2022F_NANO130X_v1.root",  # to be updated
-            "MC": "calibeHistoWrite_MC2022EE_NANO130X_v1.root",  # to be updated
+            "Run2022C": "calibeHistoWrite_Data2022C_NANO130X_v1.root",
+            "Run2022D": "calibeHistoWrite_Data2022D_NANO130X_v1.root",
+            "MC": "calibeHistoWrite_MC2022_NANO130X_v2.root",
         },
     },
     "Summer22EERun3": {
         "lumiMask": "Cert_Collisions2022_355100_362760_Golden.json",
-        "PU": "puweight_Summer22EERun3.histo.root",  # 80mb
-        "JME": "jec_compiled.pkl.gz",
+        "PU": "puweight_Summer22EERun3-80p0mb.histo.root",  # 69.2mb
+        # "JME": "jec_compiled.pkl.gz",
         "LSF": {
             "ele_json": "electron.json.gz",
             "mu_json": "ScaleFactors_Muon_trackerMuons_Z_2022EE_Prompt_ID_ISO_schemaV2.json",
@@ -69,7 +69,7 @@
             "ele_Reco_high 2022FG 2022FG-Electron-ID-SF": "RecoAbove75",
         },
         "JPCalib": {
-            "Run2022E": "calibeHistoWrite_Data2022F_NANO130X_v1.root",  # to be updated
+            "Run2022E": "calibeHistoWrite_Data2022F_NANO130X_v1.root",
             "Run2022F": "calibeHistoWrite_Data2022F_NANO130X_v1.root",
             "Run2022G": "calibeHistoWrite_Data2022G_NANO130X_v1.root",
             "MC": "calibeHistoWrite_MC2022EE_NANO130X_v1.root",
diff --git a/src/BTVNanoCommissioning/utils/histogrammer.py b/src/BTVNanoCommissioning/utils/histogrammer.py
index b45cafba..f6889f3b 100644
--- a/src/BTVNanoCommissioning/utils/histogrammer.py
+++ b/src/BTVNanoCommissioning/utils/histogrammer.py
@@ -359,17 +359,54 @@ def histogrammer(events, workflow):
     disc_list = [
         "btagDeepB",
         "btagDeepC",
-        "btagDeepFlavB",
-        "btagDeepFlavC",
+        "btagDeepB_b",
+        "btagDeepB_bb",
         "btagDeepCvL",
         "btagDeepCvB",
+        "btagDeepFlavB",
+        "btagDeepFlavC",
+        "btagTransDeepFlavB",
+        "btagTransDeepFlavC",
         "btagDeepFlavCvL",
         "btagDeepFlavCvB",
-        "btagDeepB_b",
-        "btagDeepB_bb",
         "btagDeepFlavB_b",
         "btagDeepFlavB_bb",
-        "btagDeepFlavB_lepb",
+        "btagTransDeepFlavB_lepb",
+        "btagTransDeepFlavB_b",
+        "btagTransDeepFlavB_bb",
+        "btagTransDeepFlavB_lepb",
+        "btagPNetB",
+        "btagTransPNetB",
+        "btagPNetCvB",
+        "btagPNetCvL",
+        "btagPNetProbB",
+        "btagPNetProbC",
+        "btagPNetProbG",
+        "btagPNetProbUDS",
+        "btagTransPNetProbB",
+        "btagTransPNetProbC",
+        "btagTransPNetProbG",
+        "btagTransPNetProbUDS",
+        "btagPNetQvG",
+        "btagPNetTauVJet",
+        "btagRobustParTAK4B",
+        "btagRobustParTAK4B_b",
+        "btagRobustParTAK4B_bb",
+        "btagRobustParTAK4B_lepb",
+        "btagRobustParTAK4C",
+        "btagRobustParTAK4G",
+        "btagRobustParTAK4UDS",
+        "btagTransRobustParTAK4B",
+        "btagTransRobustParTAK4B_b",
+        "btagTransRobustParTAK4B_bb",
+        "btagTransRobustParTAK4B_lepb",
+        "btagTransRobustParTAK4C",
+        "btagTransRobustParTAK4G",
+        "btagTransRobustParTAK4UDS",
+        "btagRobustParTAK4CvB",
+        "btagRobustParTAK4CvL",
+        "btagRobustParTAK4QG",
+        ## Negative tagger
         "btagNegDeepFlavB",
         "btagNegDeepFlavB_b",
         "btagNegDeepFlavB_bb",
@@ -397,25 +434,7 @@ def histogrammer(events, workflow):
         "btagNegRobustParTAK4G",
         "btagNegRobustParTAK4QG",
         "btagNegRobustParTAK4UDS",
-        "btagPNetB",
-        "btagPNetCvB",
-        "btagPNetCvL",
-        "btagPNetProbB",
-        "btagPNetProbC",
-        "btagPNetProbG",
-        "btagPNetProbUDS",
-        "btagPNetQvG",
-        "btagPNetTauVJet",
-        "btagRobustParTAK4B",
-        "btagRobustParTAK4B_b",
-        "btagRobustParTAK4B_bb",
-        "btagRobustParTAK4B_lepb",
-        "btagRobustParTAK4C",
-        "btagRobustParTAK4CvB",
-        "btagRobustParTAK4CvL",
-        "btagRobustParTAK4G",
-        "btagRobustParTAK4QG",
-        "btagRobustParTAK4UDS",
+        # other prob info
         "PNetRegPtRawCorr",
         "PNetRegPtRawCorrNeutrino",
         "PNetRegPtRawRes",
@@ -424,7 +443,7 @@ def histogrammer(events, workflow):
         "ProbaN",
     ]
     for disc in disc_list:
-        if disc not in events.Jet.fields:
+        if disc not in events.Jet.fields and "Trans" not in disc:
             continue
         njet = 1
         if "ttdilep_sf" in workflow:
@@ -433,12 +452,20 @@ def histogrammer(events, workflow):
             njet = 4
         for i in range(njet):
             if "Wc_sf" in workflow:
-                if "btag" in disc or "ProbaN" == disc:
+                if "Trans" in disc:
                     _hist_dict[f"{disc}_{i}"] = Hist.Hist(
                         syst_axis,
                         flav_axis,
                         osss_axis,
-                        Hist.axis.Regular(30, -0.2, 1, name="discr", label=disc),
+                        Hist.axis.Regular(40, 0, 8, name="discr", label=disc),
+                        Hist.storage.Weight(),
+                    )
+                elif "btag" in disc or "ProbaN" == disc:
+                    _hist_dict[f"{disc}_{i}"] = Hist.Hist(
+                        syst_axis,
+                        flav_axis,
+                        osss_axis,
+                        Hist.axis.Regular(60, -0.2, 1, name="discr", label=disc),
                         Hist.storage.Weight(),
                     )
                 elif "Bprob" in disc:
@@ -467,6 +494,13 @@ def histogrammer(events, workflow):
                     )
 
             else:
+                if "Trans" in disc:
+                    _hist_dict[f"{disc}_{i}"] = Hist.Hist(
+                        syst_axis,
+                        flav_axis,
+                        Hist.axis.Regular(40, 0, 8, name="discr", label=disc),
+                        Hist.storage.Weight(),
+                    )
                 if "btag" in disc or "ProbaN" == disc:
                     _hist_dict[f"{disc}_{i}"] = Hist.Hist(
                         syst_axis,
diff --git a/src/BTVNanoCommissioning/workflows/BTA_producer.py b/src/BTVNanoCommissioning/workflows/BTA_producer.py
index 2b644047..d4a754d0 100644
--- a/src/BTVNanoCommissioning/workflows/BTA_producer.py
+++ b/src/BTVNanoCommissioning/workflows/BTA_producer.py
@@ -1,4 +1,4 @@
-import collections
+import collections, os
 import awkward as ak
 import numpy as np
 import uproot
@@ -490,9 +490,14 @@ def process_shift(self, events, shift_name):
 
             # genJet pT
             genJetIdx = ak.where(
-                jet.genJetIdx < ak.num(events.GenJet), jet.genJetIdx, zeros
+                (jet.genJetIdx < ak.num(events.GenJet)) & (jet.genJetIdx != -1),
+                jet.genJetIdx,
+                zeros,
             )  # in case the genJet index out of range
-            Jet["genpt"] = ak.where(genJetIdx != -1, events.GenJet[genJetIdx].pt, -99)
+
+            Jet["genpt"] = ak.where(
+                jet.genJetIdx != -1, events.GenJet[genJetIdx].pt, -99
+            )
 
             # gen-level jet cleaning aginst prompt leptons
             genlep_prompt = genlep[(Genlep.mother != 0) & (Genlep.mother % 10 == 0)]
@@ -514,7 +519,9 @@ def process_shift(self, events, shift_name):
 
             # jet cleaning aginst pileup
             Jet["flavourCleaned"] = ak.where(
-                Jet["genpt"] < 8.0, zeros, Jet["flavourCleaned"]
+                (Jet["genpt"] < 8.0) & (Jet["genpt"] > 0.0),
+                zeros,
+                Jet["flavourCleaned"],
             )
 
         # Re-calculate jet probability (JP) and jet B probability (JBP) taggers
@@ -758,6 +765,8 @@ def process_shift(self, events, shift_name):
             - np.log(jpc.calc_jet_proba(trk_proba_jbp_neg)) / 4.0
         )
 
+        # Jet["ProbaN"] = -np.log10(jpc.calc_jet_proba(trk_proba_neg)) / 4.0
+
         #################
         #   TagVarCSV   #
         #################
@@ -1079,7 +1088,8 @@ def process_shift(self, events, shift_name):
             output["DHadron"] = DHadron
             output["Genlep"] = Genlep
             output["GenV0"] = GenV0
-        fname = f"{dataset}_f{events.metadata['filename'].split('_')[-1].replace('.root','')}_{int(events.metadata['entrystop']/self.chunksize)}.root"
+        os.system(f"mkdir -p {dataset}")
+        fname = f"{dataset}/f{events.metadata['filename'].split('_')[-1].replace('.root','')}_{int(events.metadata['entrystop']/self.chunksize)}.root"
         with uproot.recreate(fname) as fout:
             output_root = {}
             for bname in output.keys():
@@ -1091,7 +1101,6 @@ def process_shift(self, events, shift_name):
                         b_nest[n] = ak.packed(ak.without_parameters(output[bname][n]))
                     output_root[bname] = ak.zip(b_nest)
             fout["btagana/ttree"] = output_root
-
         return {dataset: len(events)}
 
     def postprocess(self, accumulator):
diff --git a/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py b/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py
index f60e00aa..aedf6573 100644
--- a/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py
+++ b/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py
@@ -10,6 +10,7 @@
 )
 from BTVNanoCommissioning.helpers.func import update
 from BTVNanoCommissioning.utils.correction import load_SF, JME_shifts
+import os
 
 
 ## Based on coffea_array_producer.ipynb from Congqiao
@@ -72,6 +73,8 @@ def process_shift(self, events, shift_name):
             "Evt": events.event,
             "LumiBlock": events.luminosityBlock,
             "rho": events.fixedGridRhoFastjetAll,
+            "npvs": events.PV.npvs,
+            "npvsGood": events.PV.npvsGood,
         }
         if not isRealData:
             basic_vars["nPU"] = events.Pileup.nPU
@@ -383,7 +386,7 @@ def process_shift(self, events, shift_name):
         Jet = ak.zip(
             {
                 # basic kinematics
-                "pT": jet.pt,
+                "pt": jet.pt,
                 "eta": jet.eta,
                 "phi": jet.phi,
                 "mass": jet.mass,
@@ -424,9 +427,14 @@ def process_shift(self, events, shift_name):
 
             # genJet pT
             genJetIdx = ak.where(
-                jet.genJetIdx < ak.num(events.GenJet), jet.genJetIdx, zeros
+                (jet.genJetIdx < ak.num(events.GenJet)) & (jet.genJetIdx != -1),
+                jet.genJetIdx,
+                zeros,
             )  # in case the genJet index out of range
-            Jet["genpt"] = ak.where(genJetIdx != -1, events.GenJet[genJetIdx].pt, -99)
+
+            Jet["genpt"] = ak.where(
+                jet.genJetIdx != -1, events.GenJet[genJetIdx].pt, -99
+            )
 
             # gen-level jet cleaning aginst prompt leptons
             genlep_prompt = genlep[(Genlep.mother != 0) & (Genlep.mother % 10 == 0)]
@@ -448,7 +456,7 @@ def process_shift(self, events, shift_name):
 
             # jet cleaning aginst pileup
             Jet["flavourCleaned"] = ak.where(
-                Jet["genpt"] < 8.0, zeros, Jet["flavourCleaned"]
+                (Jet["genpt"] < 8.0) & (Jet["genpt"] > 0), zeros, Jet["flavourCleaned"]
             )
 
         # define Jet_clean: special for BTA ttbar workflow which cleans jets against selected leptons
@@ -511,7 +519,8 @@ def process_shift(self, events, shift_name):
                 output["ttbar_ps_w"] = ps_w_arrays[passEvent]
 
         # customize output file name: <dataset>_<nanoAOD file name>_<chunk index>.root
-        fname = f"{dataset}_{events.metadata['filename'].split('/')[-1].replace('.root','')}_{int(events.metadata['entrystop']/self.chunksize)}.root"
+        fname = f"{dataset}/{events.metadata['filename'].split('/')[-1].replace('.root','')}_{int(events.metadata['entrystop']/self.chunksize)}.root"
+        os.system(f"mkdir -p {dataset}")
         with uproot.recreate(fname) as fout:
             output_root = {}
             for bname in output.keys():
@@ -523,6 +532,21 @@ def process_shift(self, events, shift_name):
                         b_nest[n] = ak.packed(ak.without_parameters(output[bname][n]))
                     output_root[bname] = ak.zip(b_nest)
             fout["btagana/ttree"] = output_root
+            if isRealData:
+                fout["sumw"] = {"total_events": ak.Array([len(events)])}
+            else:
+                fout["sumw"] = {
+                    "total_events": ak.Array([len(events)]),
+                    "total_pos_events": ak.Array([ak.sum(events.genWeight > 0)]),
+                    "total_neg_events": ak.Array([-1.0 * ak.sum(events.genWeight < 0)]),
+                    "total_wei_events": ak.Array([ak.sum(events.genWeight)]),
+                    "total_poswei_events": ak.Array(
+                        [ak.sum(events.genWeight[events.genWeight > 0.0])]
+                    ),
+                    "total_negwei_events": ak.Array(
+                        [ak.sum(events.genWeight[events.genWeight < 0.0])]
+                    ),
+                }
 
         return {dataset: len(events)}
 
diff --git a/src/BTVNanoCommissioning/workflows/ctag_DY_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_DY_valid_sf.py
index bda1aa37..8d996393 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_DY_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_DY_valid_sf.py
@@ -268,7 +268,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sel_jet, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sel_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sel_jet.pt)
+            genflavor = ak.zeros_like(sel_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_Wc_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_Wc_valid_sf.py
index 221ade92..ebd23945 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_Wc_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_Wc_valid_sf.py
@@ -205,7 +205,7 @@ def process_shift(self, events, shift_name):
 
         # Other cuts
         req_pTratio = (soft_muon[:, 0].pt / mu_jet[:, 0].pt) < 0.4
-
+        idx = np.where(iso_muon.jetIdx == -1, 0, iso_muon.jetIdx)
         req_QCDveto = (
             (iso_muon.pfRelIso04_all < 0.05)
             & (abs(iso_muon.dz) < 0.01)
@@ -257,7 +257,12 @@ def process_shift(self, events, shift_name):
                 with_name="PtEtaPhiMLorentzVector",
             )
         Wmass = MET + iso_muon
-        req_Wmass = Wmass.mass > 55
+        # modified to transverse mass
+        req_mtw = (
+            np.sqrt(2 * iso_muon.pt * MET.pt * (1 - np.cos(iso_muon.delta_phi(MET))))
+            > 55
+        )
+        # Wmass.mass > 55
 
         event_level = (
             req_trig
@@ -267,9 +272,9 @@ def process_shift(self, events, shift_name):
             & req_softmu
             & req_dilepmass
             & req_mujet
-            & req_Wmass
+            & req_mtw
             & req_dilepveto
-            & req_QCDveto
+            # & req_QCDveto
             & req_pTratio
         )
         event_level = ak.fill_none(event_level, False)
@@ -333,8 +338,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(smuon_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
 
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
@@ -429,7 +434,7 @@ def process_shift(self, events, shift_name):
                         flatten(smuon_jet[histname.replace("mujet_", "")]),
                         weight=weight,
                     )
-                elif "btag" in histname:
+                elif "btag" in histname and "Trans" not in histname:
                     for i in range(2):
                         if (
                             str(i) not in histname
@@ -459,6 +464,16 @@ def process_shift(self, events, shift_name):
                                 ),
                                 weight=weight,
                             )
+                elif "btag" in histname and "Trans" in histname:
+                    for i in range(2):
+                        histname = histname.replace("Trans", "").replace(f"_{i}", "")
+                        h.fill(
+                            syst="noSF",
+                            flav=smflav,
+                            osss=osss,
+                            discr=1.0 / np.tanh(smuon_jet[histname]),
+                            weight=weights.partial_weight(exclude=exclude_btv),
+                        )
 
             output["njet"].fill(syst, osss, njet, weight=weight)
             output["nmujet"].fill(syst, osss, nmujet, weight=weight)
@@ -540,8 +555,9 @@ def process_shift(self, events, shift_name):
                 out_branch,
                 np.where(
                     (out_branch == "SoftMuon")
-                    # | (out_branch == "MuonJet")
+                    | (out_branch == "MuonJet")
                     | (out_branch == "dilep")
+                    | (out_branch == "OtherJets")
                 ),
             )
 
@@ -550,7 +566,7 @@ def process_shift(self, events, shift_name):
                     "Muon",
                     "Jet",
                     "SoftMuon",
-                    # "MuonJet",
+                    "MuonJet",
                     "dilep",
                     "charge",
                     "MET",
@@ -568,7 +584,7 @@ def process_shift(self, events, shift_name):
             # write to root files
             os.system(f"mkdir -p {self.name}/{dataset}")
             with uproot.recreate(
-                f"{self.name}/{dataset}/{systematics[0]}_{int(events.metadata['entrystop']/self.chunksize)}.root"
+                f"{self.name}/{dataset}/{systematics[0]}_{events.metadata['filename'].split('/')[-1].replace('.root','')}_{int(events.metadata['entrystop']/self.chunksize)}.root"
             ) as fout:
                 fout["Events"] = uproot_writeable(pruned_ev, include=out_branch)
 
diff --git a/src/BTVNanoCommissioning/workflows/ctag_dileptt_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_dileptt_valid_sf.py
index b0a2d972..4943e245 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_dileptt_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_dileptt_valid_sf.py
@@ -301,8 +301,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(smuon_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
 
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_eDY_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_eDY_valid_sf.py
index 905ab9d1..b9dd81c5 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_eDY_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_eDY_valid_sf.py
@@ -268,7 +268,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sel_jet, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sel_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sel_jet.pt)
+            genflavor = ak.zeros_like(sel_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_eWc_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_eWc_valid_sf.py
index df0d34bf..39670667 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_eWc_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_eWc_valid_sf.py
@@ -324,8 +324,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(smuon_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
 
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_edileptt_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_edileptt_valid_sf.py
index a2766dee..03308887 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_edileptt_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_edileptt_valid_sf.py
@@ -296,8 +296,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_emdileptt_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_emdileptt_valid_sf.py
index d49f10ef..854c7591 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_emdileptt_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_emdileptt_valid_sf.py
@@ -344,8 +344,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_ettsemilep_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_ettsemilep_valid_sf.py
index ab3788c9..1c32c895 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_ettsemilep_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_ettsemilep_valid_sf.py
@@ -339,8 +339,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(smuon_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
 
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ctag_semileptt_valid_sf.py b/src/BTVNanoCommissioning/workflows/ctag_semileptt_valid_sf.py
index 2ed6da8b..b7af4fe0 100644
--- a/src/BTVNanoCommissioning/workflows/ctag_semileptt_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ctag_semileptt_valid_sf.py
@@ -355,8 +355,8 @@ def process_shift(self, events, shift_name):
                     btagSFs(smuon_jet, self.SF_map, weights, "DeepCSVC", syst_wei)
 
         else:
-            genflavor = ak.zeros_like(sjets.pt)
-            smflav = ak.zeros_like(smuon_jet.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
+            smflav = ak.zeros_like(smuon_jet.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/example.py b/src/BTVNanoCommissioning/workflows/example.py
index ec989624..e3d2072f 100644
--- a/src/BTVNanoCommissioning/workflows/example.py
+++ b/src/BTVNanoCommissioning/workflows/example.py
@@ -215,7 +215,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sjets.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
 
         # Systematics information (add name of systematics)
         if shift_name is None:  # weight variations
diff --git a/src/BTVNanoCommissioning/workflows/ttbar_validation.py b/src/BTVNanoCommissioning/workflows/ttbar_validation.py
index 3883eedf..edb71779 100644
--- a/src/BTVNanoCommissioning/workflows/ttbar_validation.py
+++ b/src/BTVNanoCommissioning/workflows/ttbar_validation.py
@@ -204,7 +204,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
 
         else:
-            genflavor = ak.zeros_like(sjets.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ttdilep_valid_sf.py b/src/BTVNanoCommissioning/workflows/ttdilep_valid_sf.py
index a674acd9..3159e9cb 100644
--- a/src/BTVNanoCommissioning/workflows/ttdilep_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ttdilep_valid_sf.py
@@ -275,7 +275,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sjets.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/ttsemilep_valid_sf.py b/src/BTVNanoCommissioning/workflows/ttsemilep_valid_sf.py
index d2fa3773..91212028 100644
--- a/src/BTVNanoCommissioning/workflows/ttsemilep_valid_sf.py
+++ b/src/BTVNanoCommissioning/workflows/ttsemilep_valid_sf.py
@@ -252,7 +252,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sjets.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
 
         # Systematics information
         if shift_name is None:
diff --git a/src/BTVNanoCommissioning/workflows/validation.py b/src/BTVNanoCommissioning/workflows/validation.py
index c10708d9..db2c735e 100644
--- a/src/BTVNanoCommissioning/workflows/validation.py
+++ b/src/BTVNanoCommissioning/workflows/validation.py
@@ -208,7 +208,7 @@ def process_shift(self, events, shift_name):
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVB", syst_wei)
                     btagSFs(sjets, self.SF_map, weights, "DeepCSVC", syst_wei)
         else:
-            genflavor = ak.zeros_like(sjets.pt)
+            genflavor = ak.zeros_like(sjets.pt, dtype=int)
 
         # Systematics information
         if shift_name is None: