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DQMOffline/Trigger/python/HiggsMonitoring_cfi.py
121 строка
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NiharSaha
Drop type specs for Trigger
03 мар 2022, 17:44
03 мар 2022, 17:44
4facfeb
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import FWCore.ParameterSet.Config as cms from DQMOffline.Trigger.topMonitoring_cfi import topMonitoring hltHIGmonitoring = topMonitoring.clone( #FolderName = 'HLT/Higgs/default/', FolderName = 'HLT/HIG/default/', histoPSet = dict( lsPSet = dict( nbins = 2500, xmin = 0., xmax = 2500.), metPSet = dict( nbins = 30, xmin = 0 , xmax = 300), ptPSet = dict( nbins = 60 , xmin = 0 , xmax = 300), phiPSet = dict( nbins = 32 , xmin = -3.2, xmax = 3.2), etaPSet = dict( nbins = 30 , xmin = -3.0, xmax = 3.0), htPSet = dict( nbins = 60 , xmin = 0 , xmax = 600), # Marina csvPSet = dict( nbins = 50 , xmin = 0.0 , xmax = 1.0 ), DRPSet = dict( nbins = 60 , xmin = 0.0 , xmax = 6.0), invMassPSet = dict( nbins = 40 , xmin = 0.0 , xmax = 80.0), MHTPSet = dict( nbins = 80 , xmin = 60 , xmax = 300), #MET and HT binning metBinning = [0,20,40,60,80,100,125,150,175,200], HTBinning = [0,20,40,60,80,100,125,150,175,200,300,400,500,700], #Eta binning eleEtaBinning = [-2.5,-2.4,-2.3,-2.2,-2.1,-2.0,-1.9,-1.8,-1.7,-1.566,-1.4442,-1.3,-1.2,-1.1,-1.0,-0.9,-0.8,-0.7,-0.6,-0.5,-0.4,-0.3,-0.2,-0.1,0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,1.1,1.2,1.3,1.4442,1.566,1.7,1.8,1.9,2.0,2.1,2.2,2.3,2.4,2.5], jetEtaBinning = [-4.7,-3.2,-3.0,-2.5,-2.1,-1.8,-1.5,-1.2,-0.9,-0.6,-0.3,-0.1,0,0.1,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.5,3.0,3.2,4.7], muEtaBinning = [-2.4,-2.1,-1.7,-1.2,-0.9,-0.6,-0.3,-0.1,0,0.1,0.3,0.6,0.9,1.2,1.7,2.1,2.4], #pt binning elePtBinning = [0,3,5,8,10,15,20,25,30,40,50,60,80,120,200,400], jetPtBinning = [0,3,5,8,10,15,20,25,30,40,50,60,80,120,200,400], muPtBinning = [0,3,5,8,10,15,20,25,30,40,50,60,80,120,200,400], #Eta binning 2D eleEtaBinning2D = [-2.5,-2.4,-2.3,-2.2,-2.1,-2.0,-1.9,-1.8,-1.7,-1.566,-1.4442,-1.3,-1.2,-1.1,-1.0,-0.9,-0.8,-0.7,-0.6,-0.5,-0.4,-0.3,-0.2,-0.1,0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,1.1,1.2,1.3,1.4442,1.566,1.7,1.8,1.9,2.0,2.1,2.2,2.3,2.4,2.5], jetEtaBinning2D = [-4.7,-3.2,-3.0,-2.5,-2.1,-1.8,-1.5,-1.2,-0.9,-0.6,-0.3,-0.1,0,0.1,0.3,0.6,0.9,1.2,1.5,1.8,2.1,2.5,3.0,3.2,4.7], muEtaBinning2D = [-2.4,-2.1,-1.7,-1.2,-0.9,-0.6,-0.3,-0.1,0,0.1,0.3,0.6,0.9,1.2,1.7,2.1,2.4], #pt binning 2D elePtBinning2D = [0,15,20,30,40,60,80,100,200,400], jetPtBinning2D = [0,15,20,30,40,60,80,100,200,400], muPtBinning2D = [0,15,20,30,40,60,80,100,200,400], #HT and phi binning 2D HTBinning2D = [0,20,40,70,100,150,200,400,700], phiBinning2D = [-3.1416,-2.5132,-1.8849,-1.2566,-0.6283,0,0.6283,1.2566,1.8849,2.5132,3.1416], ), applyLeptonPVcuts = True, leptonPVcuts = dict( dxy = 0.5, dz = 1.), met = "pfMet", # pfMet jets = "ak4PFJets", # ak4PFJets, ak4PFJetsCHS electrons = "gedGsfElectrons", # while pfIsolatedElectronsEI are reco::PFCandidate ! muons = "muons", # while pfIsolatedMuonsEI are reco::PFCandidate ! vertices = "offlinePrimaryVertices", HTdefinition = 'pt>30 & abs(eta)<2.5', leptJetDeltaRmin = 0.4, eleSelection = 'pt > 7. && abs(eta) < 2.5', muoSelection = 'pt > 5 && abs(eta) < 2.4 && (isGlobalMuon || (isTrackerMuon && numberOfMatches>0)) && muonBestTrackType != 2', vertexSelection = '!isFake && ndof > 4 && abs(z) <= 24 && position.Rho <= 2', nmuons = 0, nelectrons = 0, njets = 0, numGenericTriggerEventPSet = dict( andOr = False, andOrHlt = True,# True:=OR; False:=AND verbosityLevel = 1, hltInputTag = "TriggerResults::HLT", errorReplyHlt = False ), denGenericTriggerEventPSet = dict( andOr = False, dcsInputTag = "scalersRawToDigi", dcsRecordInputTag = "onlineMetaDataDigis", dcsPartitions = [24, 25, 26, 27, 28, 29], # 24-27: strip, 28-29: pixel, we should add all other detectors ! andOrDcs = False, errorReplyDcs = True, verbosityLevel = 1) )