Replaced AK4 and AK8 paths for particle net monitoring (2023)

cms-sw · May 16, 2023 · 40d54ae · 40d54ae
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commit 40d54ae
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Showing 2 changed files with 8 additions and 9 deletions.
diff --git a/DQMOffline/Trigger/python/ParticleNetAK4BTagMonitoring_cfi.py b/DQMOffline/Trigger/python/ParticleNetAK4BTagMonitoring_cfi.py
@@ -68,8 +68,8 @@
     jet2PtBinning = [20,30,40,50,60,75,90,110,130,150,175,200,225,250,300],
     jet1EtaBinning = [-2.5,-2.25,-2.0,-1.75,-1.5,-1.25,-1.0,-0.75,-0.5,-0.25,0.,0.25,0.5,0.75,1.0,1.25,1.5,1.75,2.0,2.25,2.5],
     jet2EtaBinning = [-2.5,-2.25,-2.0,-1.75,-1.5,-1.25,-1.0,-0.75,-0.5,-0.25,0.,0.25,0.5,0.75,1.0,1.25,1.5,1.75,2.0,2.25,2.5],
-    jet1PNETscoreBinning = [0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.75,0.8,0.85,0.9,0.925,0.95,0.975,1],
-    jet2PNETscoreBinning = [0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.75,0.8,0.85,0.9,0.925,0.95,0.975,1],
+    jet1PNETscoreBinning = [0,0.1,0.2,0.3,0.4,0.5,0.55,0.6,0.65,0.7,0.75,0.8,0.85,0.9,0.925,0.95,0.975,1],
+    jet2PNETscoreBinning = [0,0.1,0.2,0.3,0.4,0.5,0.55,0.6,0.65,0.7,0.75,0.8,0.85,0.9,0.925,0.95,0.975,1],
     jet1PNETscoreTransBinning = [0,0.1,0.2,0.3,0.4,0.6,0.8,1.0,1.25,1.50,1.75,2.25,2.75,3.5,6],
     jet2PNETscoreTransBinning = [0,0.1,0.2,0.3,0.4,0.6,0.8,1.0,1.25,1.50,1.75,2.25,2.75,3.5,6],
     jet1PtBinning2d = [20,30,40,50,75,100,150,250,500],
@@ -82,7 +82,7 @@
     jet2PNETscoreTransBinning2d = [0,0.15,0.30,0.45,0.60,0.75,1,1.5,2,2.5,3.25,6],
     ## trigger for numerator and denominator
     numGenericTriggerEvent = dict(
-        hltPaths      = ["HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ_PFDiJet30_PFBTagParticleNet_2BTagSum0p65_v*"],
+        hltPaths      = ["HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ_PFDiJet30_PNet2BTagMean0p50_v*"],
         andOr         = False,
         andOrHlt      = True,
         #hltInputTag   = "TriggerResults::reHLT", ## when testing in the DQM workflow (https://twiki.cern.ch/twiki/bin/viewauth/CMS/HLTValidationAndDQM)

diff --git a/DQMOffline/Trigger/python/ParticleNetAK8HbbTagMonitoring_cfi.py b/DQMOffline/Trigger/python/ParticleNetAK8HbbTagMonitoring_cfi.py
@@ -70,22 +70,21 @@
     jet2PtBinning = [],
     jet1EtaBinning = [-2.5,-2.0,-1.5,-1.0,-0.5,0.,0.5,1.0,1.5,2.0,2.5],
     jet2EtaBinning = [],
-    jet1PNETscoreBinning = [0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.75,0.8,0.85,0.9,0.925,0.95,0.975,1],
+    jet1PNETscoreBinning = [0,0.02,0.04,0.06,0.08,0.10,0.15,0.20,0.25,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1],
     jet2PNETscoreBinning = [],
-    jet1PNETscoreTransBinning = [0,0.1,0.2,0.3,0.4,0.6,0.8,1.0,1.25,1.50,1.75,2.25,2.75,3.5,6],
+    jet1PNETscoreTransBinning = [0,0.02,0.04,0.06,0.08,0.1,0.15,0.2,0.4,0.6,0.8,1.0,2,3,6],
     jet2PNETscoreTransBinning = [],
     jet1PtBinning2d = [180,220,260,300,340,400,500,750,1250],
     jet2PtBinning2d = [],
     jet1EtaBinning2d = [-2.5,-2.0,-1.5,-1.0,-0.5,0.,0.5,1.0,1.5,2.0,2.5],
     jet2EtaBinning2d = [],
-    jet1PNETscoreBinning2d = [0,0.15,0.30,0.45,0.60,0.75,0.85,0.90,0.95,0.975,1],
+    jet1PNETscoreBinning2d = [0,0.03,0.06,0.08,0.12,0.18,0.25,0.35,0.50,0.70,0.90,1.0],
     jet2PNETscoreBinning2d = [],
-    jet1PNETscoreTransBinning2d = [0,0.15,0.30,0.45,0.60,0.75,1,1.5,2,2.5,3.25,6],
+    jet1PNETscoreTransBinning2d = [0,0.03,0.06,0.08,0.12,0.18,0.25,0.40,0.60,0.85,1.5,3,6],
     jet2PNETscoreTransBinning2d = [],
     ## trigger for numerator and denominator
     numGenericTriggerEvent = dict(
-        hltPaths      = ["HLT_IsoMu50_AK8PFJet230_SoftDropMass40_PFAK8ParticleNetBB0p35_v*",
-                         "HLT_Ele50_CaloIdVT_GsfTrkIdT_AK8PFJet230_SoftDropMass40_PFAK8ParticleNetBB0p35_v*"],
+        hltPaths      = ["HLT_IsoMu50_AK8PFJet230_SoftDropMass40_PNetBB0p06_v*", "HLT_Ele50_CaloIdVT_GsfTrkIdT_AK8PFJet230_SoftDropMass40_PNetBB0p06_v*",],
         andOr         = False,
         andOrHlt      = True,
         #hltInputTag   = "TriggerResults::reHLT", ## when testing in the DQM workflow (https://twiki.cern.ch/twiki/bin/viewauth/CMS/HLTValidationAndDQM)