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[NanoAOD] Setup AK4 Puppi jets as default AK4 collection for Run 3 #37744
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c9e6314
Rename file jets_cf as prep for Run3 updates
nurfikri89 9927904
Setup AK4 Puppi for Nano Run3. Split reco jet configurations into 3 c…
nurfikri89 e230b0e
Add muonSubtrFactor variable for AK4 Puppi table
nurfikri89 f3d6e21
Move run2_nanoAOD_ANY grouped modifier to nano_eras_cff.py
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,155 @@ | ||
| import FWCore.ParameterSet.Config as cms | ||
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| from PhysicsTools.NanoAOD.nano_eras_cff import * | ||
| from PhysicsTools.NanoAOD.common_cff import * | ||
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| ##################### User floats producers, selectors ########################## | ||
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| from PhysicsTools.PatAlgos.recoLayer0.jetCorrFactors_cfi import * | ||
| # Note: Safe to always add 'L2L3Residual' as MC contains dummy L2L3Residual corrections (always set to 1) | ||
| # (cf. https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookJetEnergyCorrections#CMSSW_7_6_4_and_above ) | ||
| jetPuppiCorrFactorsNano = patJetCorrFactors.clone(src='slimmedJetsPuppi', | ||
| levels = cms.vstring('L1FastJet', | ||
| 'L2Relative', | ||
| 'L3Absolute', | ||
| 'L2L3Residual'), | ||
| payload = cms.string('AK4PFPuppi'), | ||
| primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"), | ||
| ) | ||
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| from PhysicsTools.PatAlgos.producersLayer1.jetUpdater_cfi import * | ||
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| updatedJetsPuppi = updatedPatJets.clone( | ||
| addBTagInfo=False, | ||
| jetSource='slimmedJetsPuppi', | ||
| jetCorrFactorsSource=cms.VInputTag(cms.InputTag("jetPuppiCorrFactorsNano") ), | ||
| ) | ||
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| tightJetPuppiId = cms.EDProducer("PatJetIDValueMapProducer", | ||
| filterParams=cms.PSet( | ||
| version = cms.string('RUN2ULPUPPI'), | ||
| quality = cms.string('TIGHT'), | ||
| ), | ||
| src = cms.InputTag("updatedJetsPuppi") | ||
| ) | ||
| tightJetPuppiIdLepVeto = cms.EDProducer("PatJetIDValueMapProducer", | ||
| filterParams=cms.PSet( | ||
| version = cms.string('RUN2ULPUPPI'), | ||
| quality = cms.string('TIGHTLEPVETO'), | ||
| ), | ||
| src = cms.InputTag("updatedJetsPuppi") | ||
| ) | ||
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| #HF shower shape recomputation | ||
| from RecoJets.JetProducers.hfJetShowerShape_cfi import hfJetShowerShape | ||
| hfJetPuppiShowerShapeforNanoAOD = hfJetShowerShape.clone(jets="updatedJetsPuppi",vertices="offlineSlimmedPrimaryVertices") | ||
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| updatedJetsPuppiWithUserData = cms.EDProducer("PATJetUserDataEmbedder", | ||
| src = cms.InputTag("updatedJetsPuppi"), | ||
| userFloats = cms.PSet( | ||
| hfsigmaEtaEta = cms.InputTag('hfJetPuppiShowerShapeforNanoAOD:sigmaEtaEta'), | ||
| hfsigmaPhiPhi = cms.InputTag('hfJetPuppiShowerShapeforNanoAOD:sigmaPhiPhi'), | ||
| ), | ||
| userInts = cms.PSet( | ||
| tightId = cms.InputTag("tightJetPuppiId"), | ||
| tightIdLepVeto = cms.InputTag("tightJetPuppiIdLepVeto"), | ||
| hfcentralEtaStripSize = cms.InputTag('hfJetPuppiShowerShapeforNanoAOD:centralEtaStripSize'), | ||
| hfadjacentEtaStripsSize = cms.InputTag('hfJetPuppiShowerShapeforNanoAOD:adjacentEtaStripsSize'), | ||
| ), | ||
| ) | ||
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| finalJetsPuppi = cms.EDFilter("PATJetRefSelector", | ||
| src = cms.InputTag("updatedJetsPuppiWithUserData"), | ||
| cut = cms.string("pt > 15") | ||
| ) | ||
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| ##################### Tables for final output and docs ########################## | ||
| jetPuppiTable = cms.EDProducer("SimpleCandidateFlatTableProducer", | ||
| src = cms.InputTag("linkedObjects","jets"), | ||
| cut = cms.string(""), #we should not filter on cross linked collections | ||
| name = cms.string("Jet"), | ||
| doc = cms.string("slimmedJetsPuppi, i.e. ak4 PFJets Puppi with JECs applied, after basic selection (" + finalJetsPuppi.cut.value()+")"), | ||
| singleton = cms.bool(False), # the number of entries is variable | ||
| extension = cms.bool(False), # this is the main table for the jets | ||
| externalVariables = cms.PSet(), | ||
| variables = cms.PSet(P4Vars, | ||
| area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10), | ||
| nMuons = Var("?hasOverlaps('muons')?overlaps('muons').size():0", int, doc="number of muons in the jet"), | ||
| muonIdx1 = Var("?overlaps('muons').size()>0?overlaps('muons')[0].key():-1", int, doc="index of first matching muon"), | ||
| muonIdx2 = Var("?overlaps('muons').size()>1?overlaps('muons')[1].key():-1", int, doc="index of second matching muon"), | ||
| electronIdx1 = Var("?overlaps('electrons').size()>0?overlaps('electrons')[0].key():-1", int, doc="index of first matching electron"), | ||
| electronIdx2 = Var("?overlaps('electrons').size()>1?overlaps('electrons')[1].key():-1", int, doc="index of second matching electron"), | ||
| nElectrons = Var("?hasOverlaps('electrons')?overlaps('electrons').size():0", int, doc="number of electrons in the jet"), | ||
| btagDeepB = Var("?(bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb'))>=0?bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb'):-1",float,doc="DeepCSV b+bb tag discriminator",precision=10), | ||
| btagDeepFlavB = Var("bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')",float,doc="DeepJet b+bb+lepb tag discriminator",precision=10), | ||
| btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10), | ||
| btagDeepCvL = Var("?bDiscriminator('pfDeepCSVJetTags:probc')>=0?bDiscriminator('pfDeepCSVJetTags:probc')/(bDiscriminator('pfDeepCSVJetTags:probc')+bDiscriminator('pfDeepCSVJetTags:probudsg')):-1", float,doc="DeepCSV c vs udsg discriminator",precision=10), | ||
| btagDeepCvB = Var("?bDiscriminator('pfDeepCSVJetTags:probc')>=0?bDiscriminator('pfDeepCSVJetTags:probc')/(bDiscriminator('pfDeepCSVJetTags:probc')+bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')):-1",float,doc="DeepCSV c vs b+bb discriminator",precision=10), | ||
| btagDeepFlavCvL = Var("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg')):-1",float,doc="DeepJet c vs uds+g discriminator",precision=10), | ||
| btagDeepFlavCvB = Var("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')):-1",float,doc="DeepJet c vs b+bb+lepb discriminator",precision=10), | ||
| btagDeepFlavQG = Var("?(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds'))>0?bDiscriminator('pfDeepFlavourJetTags:probg')/(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds')):-1",float,doc="DeepJet g vs uds discriminator",precision=10), | ||
| jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flag: bit2 is tight, bit3 is tightLepVeto"), | ||
| hfsigmaEtaEta = Var("userFloat('hfsigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10), | ||
| hfsigmaPhiPhi = Var("userFloat('hfsigmaPhiPhi')",float,doc="sigmaPhiPhi for HF jets (noise discriminating variable)",precision=10), | ||
| hfcentralEtaStripSize = Var("userInt('hfcentralEtaStripSize')", int, doc="eta size of the central tower strip in HF (noise discriminating variable)"), | ||
| hfadjacentEtaStripsSize = Var("userInt('hfadjacentEtaStripsSize')", int, doc="eta size of the strips next to the central tower strip in HF (noise discriminating variable)"), | ||
| nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"), | ||
| rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6), | ||
| chHEF = Var("chargedHadronEnergyFraction()", float, doc="charged Hadron Energy Fraction", precision= 6), | ||
| neHEF = Var("neutralHadronEnergyFraction()", float, doc="neutral Hadron Energy Fraction", precision= 6), | ||
| chEmEF = Var("chargedEmEnergyFraction()", float, doc="charged Electromagnetic Energy Fraction", precision= 6), | ||
| neEmEF = Var("neutralEmEnergyFraction()", float, doc="neutral Electromagnetic Energy Fraction", precision= 6), | ||
| muEF = Var("muonEnergyFraction()", float, doc="muon Energy Fraction", precision= 6), | ||
| ) | ||
| ) | ||
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| #jets are not as precise as muons | ||
| jetPuppiTable.variables.pt.precision=10 | ||
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| ################################################################################ | ||
| # JETS FOR MET type1 | ||
| ################################################################################ | ||
| basicJetsPuppiForMetForT1METNano = cms.EDProducer("PATJetCleanerForType1MET", | ||
| src = updatedJetsPuppiWithUserData.src, | ||
| jetCorrEtaMax = cms.double(9.9), | ||
| jetCorrLabel = cms.InputTag("L3Absolute"), | ||
| jetCorrLabelRes = cms.InputTag("L2L3Residual"), | ||
| offsetCorrLabel = cms.InputTag("L1FastJet"), | ||
| skipEM = cms.bool(False), | ||
| skipEMfractionThreshold = cms.double(0.9), | ||
| skipMuonSelection = cms.string('isGlobalMuon | isStandAloneMuon'), | ||
| skipMuons = cms.bool(True), | ||
| type1JetPtThreshold = cms.double(0.0), | ||
| calcMuonSubtrRawPtAsValueMap = cms.bool(True) | ||
| ) | ||
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| updatedJetsPuppiWithUserData.userFloats.muonSubtrRawPt = cms.InputTag("basicJetsPuppiForMetForT1METNano:MuonSubtrRawPt") | ||
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| corrT1METJetPuppiTable = cms.EDProducer("SimpleCandidateFlatTableProducer", | ||
| src = finalJetsPuppi.src, | ||
| cut = cms.string("pt<15 && abs(eta)<9.9"), | ||
| name = cms.string("CorrT1METJet"), | ||
| doc = cms.string("Additional low-pt ak4 Puppi jets for Type-1 MET re-correction"), | ||
| singleton = cms.bool(False), # the number of entries is variable | ||
| extension = cms.bool(False), # this is the main table for the jets | ||
| variables = cms.PSet( | ||
| rawPt = Var("pt()*jecFactor('Uncorrected')",float,precision=10), | ||
| eta = Var("eta", float,precision=12), | ||
| phi = Var("phi", float, precision=12), | ||
| area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10), | ||
| ) | ||
| ) | ||
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| corrT1METJetPuppiTable.variables.muonSubtrFactor = Var("1-userFloat('muonSubtrRawPt')/(pt()*jecFactor('Uncorrected'))",float,doc="1-(muon-subtracted raw pt)/(raw pt)",precision=6) | ||
| jetPuppiTable.variables.muonSubtrFactor = Var("1-userFloat('muonSubtrRawPt')/(pt()*jecFactor('Uncorrected'))",float,doc="1-(muon-subtracted raw pt)/(raw pt)",precision=6) | ||
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|
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| jetPuppiForMETTask = cms.Task(basicJetsPuppiForMetForT1METNano,corrT1METJetPuppiTable) | ||
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| #before cross linking | ||
| jetPuppiUserDataTask = cms.Task(tightJetPuppiId, tightJetPuppiIdLepVeto, hfJetPuppiShowerShapeforNanoAOD) | ||
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| #before cross linking | ||
| jetPuppiTask = cms.Task(jetPuppiCorrFactorsNano,updatedJetsPuppi,jetPuppiUserDataTask,updatedJetsPuppiWithUserData,finalJetsPuppi) | ||
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| #after cross linkining | ||
| jetPuppiTablesTask = cms.Task(jetPuppiTable) | ||
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we should define this in the PhysicsTools.NanoAOD.nano_eras_cff so that get imported w/o being redefined multiple times
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Will move
run2_nanoAOD_ANYin the next commit shortly.