diff --git a/DQMOffline/Trigger/python/DQMOffline_Trigger_cff.py b/DQMOffline/Trigger/python/DQMOffline_Trigger_cff.py index 0d4a2b40475b7..07467b0229bce 100644 --- a/DQMOffline/Trigger/python/DQMOffline_Trigger_cff.py +++ b/DQMOffline/Trigger/python/DQMOffline_Trigger_cff.py @@ -135,6 +135,7 @@ * susyMonitorHLT * b2gMonitorHLT * higgsMonitorHLT + * particleNetMonitoringHLT # HIG: monitoring of HLT PNET taggers (incl. comparisons to Offline PNET) * smpMonitorHLT * topMonitorHLT * btagMonitorHLT diff --git a/DQMOffline/Trigger/python/ParticleNetAK4BTagMonitoring_cfi.py b/DQMOffline/Trigger/python/ParticleNetAK4BTagMonitoring_cfi.py index 4442298d60a35..d9efb5a404808 100644 --- a/DQMOffline/Trigger/python/ParticleNetAK4BTagMonitoring_cfi.py +++ b/DQMOffline/Trigger/python/ParticleNetAK4BTagMonitoring_cfi.py @@ -10,15 +10,15 @@ ## objects muons = "muons", electrons = "gedGsfElectrons", - jets = "ak4PFJetsCHS", + jets = "ak4PFJetsPuppi", jetPNETScore = "pfParticleNetAK4DiscriminatorsJetTagsForRECO:BvsAll", jetPNETScoreHLT = "hltParticleNetDiscriminatorsJetTags:BvsAll", jetsForHTandBTag = "", jetPNETScoreForHTandBTag = "", jetSoftDropMass = "", met = "pfMetPuppi", - jecForMC = "ak4PFCHSL1FastL2L3Corrector", - jecForData = "ak4PFCHSL1FastL2L3ResidualCorrector", + jecForMC = "ak4PFPuppiL1FastL2L3Corrector", + jecForData = "ak4PFPuppiL1FastL2L3ResidualCorrector", ## PV selection vertexSelection = "!isFake && ndof > 4 && abs(z) <= 24 && position.Rho <= 2", ## Muon selection (based on the definition of https://cmssdt.cern.ch/lxr/source/DataFormats/MuonReco/interface/Muon.h) @@ -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 index 91077617109f9..69d9dd1e4242b 100644 --- a/DQMOffline/Trigger/python/ParticleNetAK8HbbTagMonitoring_cfi.py +++ b/DQMOffline/Trigger/python/ParticleNetAK8HbbTagMonitoring_cfi.py @@ -13,7 +13,7 @@ jets = "ak8PFJetsPuppi", jetPNETScore = "pfMassDecorrelatedParticleNetDiscriminatorsJetTags:XbbvsQCD", jetPNETScoreHLT = "hltParticleNetDiscriminatorsJetTagsAK8:HbbVsQCD", - jetsForHTandBTag = "ak4PFJetsCHS", + jetsForHTandBTag = "ak4PFJetsPuppi", jetPNETScoreForHTandBTag = "pfParticleNetAK4DiscriminatorsJetTagsForRECO:BvsAll", jetSoftDropMass = "ak8PFJetsPuppiSoftDropMass", met = "pfMetPuppi", @@ -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)