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PhysicsTools/Heppy/python/analyzers/objects/autophobj.py
243 строки
22 KB
mmasciov
Moving to cMVAv2 algo for jet bTagMVA
19 апр 2016, 13:54
19 апр 2016, 13:54
08d95b3
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#!/bin/env python from math import * import ROOT #from CMGTools.TTHAnalysis.signedSip import * from PhysicsTools.Heppy.analyzers.core.autovars import * from PhysicsTools.HeppyCore.utils.deltar import deltaR objectFloat = NTupleObjectType("builtInType", variables = [ NTupleVariable("", lambda x : x), ]) objectInt = NTupleObjectType("builtInType", variables = [ NTupleVariable("", lambda x : x,int), ]) twoVectorType = NTupleObjectType("twoVector", variables = [ NTupleVariable("pt", lambda x : x.pt()), NTupleVariable("phi", lambda x : x.phi()), ]) fourVectorType = NTupleObjectType("fourVector", variables = [ NTupleVariable("pt", lambda x : x.pt()), NTupleVariable("eta", lambda x : x.eta()), NTupleVariable("phi", lambda x : x.phi()), NTupleVariable("mass", lambda x : x.mass()), NTupleVariable("p4", lambda x : x, "TLorentzVector", default=ROOT.reco.Particle.LorentzVector(0.,0.,0.,0.), filler = lambda vector, obj: vector.SetPtEtaPhiM(obj.pt(), obj.eta(), obj.phi(), obj.mass())), # ^^^^------- Note: p4 normally is not saved unless 'saveTLorentzVectors' is enabled in the tree producer ]) tlorentzFourVectorType = NTupleObjectType("tlorentzFourVectorType", variables = [ NTupleVariable("pt", lambda x : x.Pt()), NTupleVariable("eta", lambda x : x.Eta()), NTupleVariable("phi", lambda x : x.Phi()), NTupleVariable("energy", lambda x : x.E()), ]) particleType = NTupleObjectType("particle", baseObjectTypes = [ fourVectorType ], variables = [ NTupleVariable("pdgId", lambda x : x.pdgId(), int), ]) weightsInfoType = NTupleObjectType("WeightsInfo", mcOnly=True, variables = [ NTupleVariable("id", lambda x : x.id, int), NTupleVariable("wgt", lambda x : x.wgt), ]) ##------------------------------------------ ## LEPTON ##------------------------------------------ ### BASIC VERSION WITH ONLY MAIN LEPTON ID CRITERIA leptonType = NTupleObjectType("lepton", baseObjectTypes = [ particleType ], variables = [ NTupleVariable("charge", lambda x : x.charge(), int), # Identification NTupleVariable("tightId", lambda x : x.tightId(), int, help="POG Tight ID (for electrons it's configured in the analyzer)"), NTupleVariable("eleCutIdCSA14_25ns_v1", lambda x : (1*x.electronID("POG_Cuts_ID_CSA14_25ns_v1_Veto") + 1*x.electronID("POG_Cuts_ID_CSA14_25ns_v1_Loose") + 1*x.electronID("POG_Cuts_ID_CSA14_25ns_v1_Medium") + 1*x.electronID("POG_Cuts_ID_CSA14_25ns_v1_Tight")) if abs(x.pdgId()) == 11 else -1, int, help="Electron cut-based id (POG CSA14_25ns_v1): 0=none, 1=veto, 2=loose, 3=medium, 4=tight"), NTupleVariable("eleCutIdCSA14_50ns_v1", lambda x : (1*x.electronID("POG_Cuts_ID_CSA14_50ns_v1_Veto") + 1*x.electronID("POG_Cuts_ID_CSA14_50ns_v1_Loose") + 1*x.electronID("POG_Cuts_ID_CSA14_50ns_v1_Medium") + 1*x.electronID("POG_Cuts_ID_CSA14_50ns_v1_Tight")) if abs(x.pdgId()) == 11 else -1, int, help="Electron cut-based id (POG CSA14_50ns_v1): 0=none, 1=veto, 2=loose, 3=medium, 4=tight"), NTupleVariable("eleCutIdSpring15_25ns_v1", lambda x : (1*x.electronID("cutBasedElectronID-Spring15-25ns-V1-standalone-veto") + 1*x.electronID("cutBasedElectronID-Spring15-25ns-V1-standalone-loose") + 1*x.electronID("cutBasedElectronID-Spring15-25ns-V1-standalone-medium") + 1*x.electronID("cutBasedElectronID-Spring15-25ns-V1-standalone-tight")) if abs(x.pdgId()) == 11 and x.isElectronIDAvailable("cutBasedElectronID-Spring15-25ns-V1-standalone-veto") else -1, int, help="Electron cut-based id (POG Spring15_25ns_v1): 0=none, 1=veto, 2=loose, 3=medium, 4=tight"), # Impact parameter NTupleVariable("dxy", lambda x : x.dxy(), help="d_{xy} with respect to PV, in cm (with sign)"), NTupleVariable("dz", lambda x : x.dz() , help="d_{z} with respect to PV, in cm (with sign)"), NTupleVariable("edxy", lambda x : x.edB(), help="#sigma(d_{xy}) with respect to PV, in cm"), NTupleVariable("edz", lambda x : x.edz(), help="#sigma(d_{z}) with respect to PV, in cm"), NTupleVariable("ip3d", lambda x : x.ip3D() , help="d_{3d} with respect to PV, in cm (absolute value)"), NTupleVariable("sip3d", lambda x : x.sip3D(), help="S_{ip3d} with respect to PV (significance)"), # Conversion rejection NTupleVariable("convVeto", lambda x : x.passConversionVeto() if abs(x.pdgId())==11 else 1, int, help="Conversion veto (always true for muons)"), NTupleVariable("lostHits", lambda x : (x.gsfTrack() if abs(x.pdgId())==11 else x.innerTrack()).hitPattern().numberOfLostHits(ROOT.reco.HitPattern.MISSING_INNER_HITS), int, help="Number of lost hits on inner track"), # Isolations with the two radia NTupleVariable("relIso03", lambda x : x.relIso03, help="PF Rel Iso, R=0.3, pile-up corrected"), NTupleVariable("relIso04", lambda x : x.relIso04, help="PF Rel Iso, R=0.4, pile-up corrected"), NTupleVariable("miniRelIso", lambda x : x.miniRelIso if hasattr(x,'miniRelIso') else -999, help="PF Rel miniRel, pile-up corrected"), NTupleVariable("relIsoAn04", lambda x : x.relIsoAn04 if hasattr(x,'relIsoAn04') else -999, help="PF Activity Annulus, pile-up corrected"), # Charge flip rejection criteria NTupleVariable("tightCharge", lambda lepton : ( lepton.isGsfCtfScPixChargeConsistent() + lepton.isGsfScPixChargeConsistent() ) if abs(lepton.pdgId()) == 11 else 2*(lepton.innerTrack().ptError()/lepton.innerTrack().pt() < 0.2), int, help="Tight charge criteria: for electrons, 2 if isGsfCtfScPixChargeConsistent, 1 if only isGsfScPixChargeConsistent, 0 otherwise; for muons, 2 if ptError/pt < 0.20, 0 otherwise "), # MC-match info NTupleVariable("mcMatchId", lambda x : getattr(x, 'mcMatchId', -99), int, mcOnly=True, help="Match to source from hard scatter (pdgId of heaviest particle in chain, 25 for H, 6 for t, 23/24 for W/Z), zero if non-prompt or fake"), NTupleVariable("mcMatchAny", lambda x : getattr(x, 'mcMatchAny', -99), int, mcOnly=True, help="Match to any final state leptons: 0 if unmatched, 1 if light flavour (including prompt), 4 if charm, 5 if bottom"), NTupleVariable("mcMatchTau", lambda x : getattr(x, 'mcMatchTau', -99), int, mcOnly=True, help="True if the leptons comes from a tau"), NTupleVariable("mcPt", lambda x : x.mcLep.pt() if getattr(x,"mcLep",None) else 0., mcOnly=True, help="p_{T} of associated gen lepton"), NTupleVariable("mediumMuonId", lambda x : x.muonID("POG_ID_Medium") if abs(x.pdgId())==13 else 1, int, help="Muon POG Medium id"), ]) ### EXTENDED VERSION WITH INDIVIUAL DISCRIMINATING VARIABLES leptonTypeExtra = NTupleObjectType("leptonExtra", baseObjectTypes = [ leptonType ], variables = [ # Extra isolation variables NTupleVariable("chargedHadRelIso03", lambda x : x.chargedHadronIsoR(0.3)/x.pt(), help="PF Rel Iso, R=0.3, charged hadrons only"), NTupleVariable("chargedHadRelIso04", lambda x : x.chargedHadronIsoR(0.4)/x.pt(), help="PF Rel Iso, R=0.4, charged hadrons only"), # Extra muon ID working points NTupleVariable("softMuonId", lambda x : x.muonID("POG_ID_Soft") if abs(x.pdgId())==13 else 1, int, help="Muon POG Soft id"), NTupleVariable("pfMuonId", lambda x : x.muonID("POG_ID_Loose") if abs(x.pdgId())==13 else 1, int, help="Muon POG Loose id"), # Extra electron ID working points NTupleVariable("eleCutId2012_full5x5", lambda x : (1*x.electronID("POG_Cuts_ID_2012_full5x5_Veto") + 1*x.electronID("POG_Cuts_ID_2012_full5x5_Loose") + 1*x.electronID("POG_Cuts_ID_2012_full5x5_Medium") + 1*x.electronID("POG_Cuts_ID_2012_full5x5_Tight")) if abs(x.pdgId()) == 11 else -1, int, help="Electron cut-based id (POG 2012, full5x5 shapes): 0=none, 1=veto, 2=loose, 3=medium, 4=tight"), # Extra tracker-related variables NTupleVariable("trackerLayers", lambda x : (x.track() if abs(x.pdgId())==13 else x.gsfTrack()).hitPattern().trackerLayersWithMeasurement(), int, help="Tracker Layers"), NTupleVariable("pixelLayers", lambda x : (x.track() if abs(x.pdgId())==13 else x.gsfTrack()).hitPattern().pixelLayersWithMeasurement(), int, help="Pixel Layers"), NTupleVariable("trackerHits", lambda x : (x.track() if abs(x.pdgId())==13 else x.gsfTrack()).hitPattern().numberOfValidTrackerHits(), int, help="Tracker hits"), NTupleVariable("lostOuterHits", lambda x : (x.gsfTrack() if abs(x.pdgId())==11 else x.innerTrack()).hitPattern().numberOfLostHits(ROOT.reco.HitPattern.MISSING_OUTER_HITS), int, help="Number of lost hits on inner track"), NTupleVariable("innerTrackValidHitFraction", lambda x : (x.gsfTrack() if abs(x.pdgId())==11 else x.innerTrack()).validFraction(), help="fraction of valid hits on inner track"), NTupleVariable("innerTrackChi2", lambda x : (x.gsfTrack() if abs(x.pdgId())==11 else x.innerTrack()).normalizedChi2(), help="Inner track normalized chi2"), # Extra muon ID variables NTupleVariable("nStations", lambda lepton : lepton.numberOfMatchedStations() if abs(lepton.pdgId()) == 13 else 4, help="Number of matched muons stations (4 for electrons)"), NTupleVariable("caloCompatibility", lambda lepton : lepton.caloCompatibility() if abs(lepton.pdgId()) == 13 else 0, help="Calorimetric compatibility"), NTupleVariable("globalTrackChi2", lambda lepton : lepton.globalTrack().normalizedChi2() if abs(lepton.pdgId()) == 13 and lepton.globalTrack().isNonnull() else 0, help="Global track normalized chi2"), NTupleVariable("trkKink", lambda lepton : lepton.combinedQuality().trkKink if abs(lepton.pdgId()) == 13 else 0, help="Tracker kink-finder"), NTupleVariable("segmentCompatibility", lambda lepton : lepton.segmentCompatibility() if abs(lepton.pdgId()) == 13 else 0, help="Segment-based compatibility"), NTupleVariable("chi2LocalPosition", lambda lepton : lepton.combinedQuality().chi2LocalPosition if abs(lepton.pdgId()) == 13 else 0, help="Tracker-Muon matching in position"), NTupleVariable("chi2LocalMomentum", lambda lepton : lepton.combinedQuality().chi2LocalMomentum if abs(lepton.pdgId()) == 13 else 0, help="Tracker-Muon matching in momentum"), NTupleVariable("glbTrackProbability", lambda lepton : lepton.combinedQuality().glbTrackProbability if abs(lepton.pdgId()) == 13 else 0, help="Global track pseudo-probability"), # Extra electron ID variables NTupleVariable("sigmaIEtaIEta", lambda x : x.full5x5_sigmaIetaIeta() if abs(x.pdgId())==11 else 0, help="Electron sigma(ieta ieta), with full5x5 cluster shapes"), NTupleVariable("dEtaScTrkIn", lambda x : x.deltaEtaSuperClusterTrackAtVtx() if abs(x.pdgId())==11 else 0, help="Electron deltaEtaSuperClusterTrackAtVtx (without absolute value!)"), NTupleVariable("dPhiScTrkIn", lambda x : x.deltaPhiSuperClusterTrackAtVtx() if abs(x.pdgId())==11 else 0, help="Electron deltaPhiSuperClusterTrackAtVtx (without absolute value!)"), NTupleVariable("hadronicOverEm", lambda x : x.hadronicOverEm() if abs(x.pdgId())==11 else 0, help="Electron hadronicOverEm"), NTupleVariable("eInvMinusPInv", lambda x : ((1.0/x.ecalEnergy() - x.eSuperClusterOverP()/x.ecalEnergy()) if x.ecalEnergy()>0. else 9e9) if abs(x.pdgId())==11 else 0, help="Electron 1/E - 1/p (without absolute value!)"), # new version used by EGM in Spring15, 7_4_14: NTupleVariable("eInvMinusPInv_tkMom", lambda x: ((1.0/x.ecalEnergy()) - (1.0 / x.trackMomentumAtVtx().R() ) if (x.ecalEnergy()>0. and x.trackMomentumAtVtx().R()>0.) else 9e9) if abs(x.pdgId())==11 else 0, help="Electron 1/E - 1/p_tk_vtx (without absolute value!)"), NTupleVariable("etaSc", lambda x : x.superCluster().eta() if abs(x.pdgId())==11 else -100, help="Electron supercluster pseudorapidity"), NTupleVariable("mcMatchPdgId", lambda x : x.mcLep.pdgId() if getattr(x,'mcLep',None)!=None else -99, int, mcOnly=True, help="Match to source from hard scatter (pdgId of heaviest particle in chain, 25 for H, 6 for t, 23/24 for W/Z): pdgId of the matched gen-level lepton, zero if non-prompt or fake") ]) ##------------------------------------------ ## TAU ##------------------------------------------ tauType = NTupleObjectType("tau", baseObjectTypes = [ particleType ], variables = [ NTupleVariable("charge", lambda x : x.charge(), int), NTupleVariable("decayMode", lambda x : x.decayMode(), int), NTupleVariable("idDecayMode", lambda x : x.idDecayMode, int), NTupleVariable("idDecayModeNewDMs", lambda x : x.idDecayModeNewDMs, int), NTupleVariable("dxy", lambda x : x.dxy(), help="d_{xy} of lead track with respect to PV, in cm (with sign)"), NTupleVariable("dz", lambda x : x.dz() , help="d_{z} of lead track with respect to PV, in cm (with sign)"), NTupleVariable("idMVA", lambda x : x.idMVA, int, help="1,2,3,4,5,6 if the tau passes the very loose to very very tight WP of the MVA3oldDMwLT discriminator"), NTupleVariable("idMVANewDM", lambda x : x.idMVANewDM, int, help="1,2,3,4,5,6 if the tau passes the very loose to very very tight WP of the MVA3newDMwLT discriminator"), NTupleVariable("idCI3hit", lambda x : x.idCI3hit, int, help="1,2,3 if the tau passes the loose, medium, tight WP of the By<X>CombinedIsolationDBSumPtCorr3Hits discriminator"), NTupleVariable("idAntiMu", lambda x : x.idAntiMu, int, help="1,2 if the tau passes the loose/tight WP of the againstMuon<X>3 discriminator"), NTupleVariable("idAntiE", lambda x : x.idAntiE, int, help="1,2,3,4,5 if the tau passes the v loose, loose, medium, tight, v tight WP of the againstElectron<X>MVA5 discriminator"), NTupleVariable("isoCI3hit", lambda x : x.tauID("byCombinedIsolationDeltaBetaCorrRaw3Hits"), help="byCombinedIsolationDeltaBetaCorrRaw3Hits raw output discriminator"), # MC-match info NTupleVariable("mcMatchId", lambda x : getattr(x, 'mcMatchId', -99), int, mcOnly=True, help="Match to source from hard scatter (pdgId of heaviest particle in chain, 25 for H, 6 for t, 23/24 for W/Z), zero if non-prompt or fake"), ]) ##------------------------------------------ ## ISOTRACK ##------------------------------------------ isoTrackType = NTupleObjectType("isoTrack", baseObjectTypes = [ particleType ], variables = [ NTupleVariable("charge", lambda x : x.charge(), int), NTupleVariable("dz", lambda x : x.dz() , help="d_{z} of lead track with respect to PV, in cm (with sign)"), NTupleVariable("absIso", lambda x : x.absIso, float, mcOnly=False, help="abs charged iso with condition for isolation such that Min(0.2*pt, 8 GeV)"), NTupleVariable("relIsoAn04", lambda x : x.relIsoAn04 if hasattr(x,'relIsoAn04') else -999, help="PF Activity Annulus, pile-up corrected"), NTupleVariable("mcMatchId", lambda x : getattr(x, 'mcMatchId', -99), int, mcOnly=True, help="Match to source from hard scatter (pdgId of heaviest particle in chain, 25 for H, 6 for t, 23/24 for W/Z), zero if non-prompt or fake"), ]) ##------------------------------------------ ## PHOTON ##------------------------------------------ photonType = NTupleObjectType("gamma", baseObjectTypes = [ particleType ], variables = [ NTupleVariable("idCutBased", lambda x : x.idCutBased, int, help="1,2,3 if the gamma passes the loose, medium, tight WP of PhotonCutBasedID"), NTupleVariable("hOverE", lambda x : x.hOVERe(), float, help="hoverE for photons"), NTupleVariable("r9", lambda x : x.full5x5_r9(), float, help="r9 for photons"), NTupleVariable("sigmaIetaIeta", lambda x : x.full5x5_sigmaIetaIeta(), float, help="sigmaIetaIeta for photons"), NTupleVariable("chHadIso04", lambda x : x.chargedHadronIso(), float, help="chargedHadronIsolation for photons (PAT method, deltaR = 0.4)"), # NTupleVariable("chHadIso", lambda x : x.chargedHadronIso('rhoArea'), float, help="chargedHadronIsolation for photons with footprint removal and pile-up correction"), # NTupleVariable("phIso", lambda x : x.photonIso('rhoArea'), float, help="gammaIsolation for photons with footprint removal and pile-up correction"), # NTupleVariable("neuHadIso", lambda x : x.neutralHadronIso('rhoArea'), float, help="neutralHadronIsolation for photons with footprint removal and pile-up correction"), NTupleVariable("chHadIso", lambda x : x.chargedHadronIso(), float, help="chargedHadronIsolation for photons with footprint removal"), NTupleVariable("phIso", lambda x : x.photonIso(), float, help="gammaIsolation for photons with footprint removal"), NTupleVariable("neuHadIso", lambda x : x.neutralHadronIso(), float, help="neutralHadronIsolation for photons with footprint removal"), NTupleVariable("relIso", lambda x : x.ftprRelIso03 if hasattr(x,'ftprRelIso03') else x.relIso, float, help="relativeIsolation for photons with footprint removal and pile-up correction"), NTupleVariable("mcMatchId", lambda x : getattr(x, 'mcMatchId', -99), int, mcOnly=True, help="Match to source from hard scatter (pdgId of heaviest particle in chain, 25 for H, 6 for t, 23/24 for W/Z), zero if non-prompt or fake"), NTupleVariable("mcPt", lambda x : x.mcGamma.pt() if getattr(x,"mcGamma",None) else 0., mcOnly=True, help="p_{T} of associated gen photon"), ]) ##------------------------------------------ ## JET ##------------------------------------------ jetType = NTupleObjectType("jet", baseObjectTypes = [ fourVectorType ], variables = [ NTupleVariable("id", lambda x : x.jetID("POG_PFID") , int, mcOnly=False,help="POG Loose jet ID"), NTupleVariable("puId", lambda x : getattr(x, 'puJetIdPassed', -99), int, mcOnly=False, help="puId (full MVA, loose WP, 5.3.X training on AK5PFchs: the only thing that is available now)"), NTupleVariable("btagCSV", lambda x : x.btag('pfCombinedInclusiveSecondaryVertexV2BJetTags'), help="CSV-IVF v2 discriminator"), # NTupleVariable("btagCMVA", lambda x : x.btag('pfCombinedMVABJetTags'), help="CMVA discriminator"), NTupleVariable("btagCMVA", lambda x : x.btag('pfCombinedMVAV2BJetTags'), help="CMVA discriminator"), NTupleVariable("rawPt", lambda x : x.pt() * x.rawFactor(), help="p_{T} before JEC"), NTupleVariable("mcPt", lambda x : x.mcJet.pt() if getattr(x,"mcJet",None) else 0., mcOnly=True, help="p_{T} of associated gen jet"), NTupleVariable("mcFlavour", lambda x : x.partonFlavour(), int, mcOnly=True, help="parton flavour (physics definition, i.e. including b's from shower)"), NTupleVariable("partonFlavour", lambda x : x.partonFlavour(), int, mcOnly=True, help="purely parton-based flavour"), NTupleVariable("hadronFlavour", lambda x : x.hadronFlavour(), int, mcOnly=True, help="hadron flavour (ghost matching to B/C hadrons)"), NTupleVariable("mcMatchId", lambda x : getattr(x, 'mcMatchId', -99), int, mcOnly=True, help="Match to source from hard scatter (pdgId of heaviest particle in chain, 25 for H, 6 for t, 23/24 for W/Z), zero if non-prompt or fake"), NTupleVariable("corr_JECUp", lambda x : getattr(x, 'corrJECUp', -99), float, help=""), NTupleVariable("corr_JECDown", lambda x : getattr(x, 'corrJECDown', -99), float,help=""), NTupleVariable("corr", lambda x : getattr(x, 'corr', -99), float, help=""), NTupleVariable("corr_JERUp", lambda x : getattr(x, 'corrJERUp', -99), float, mcOnly=True, help=""), NTupleVariable("corr_JERDown", lambda x : getattr(x, 'corrJERDown', -99), float, mcOnly=True, help=""), NTupleVariable("corr_JER", lambda x : getattr(x, 'corrJER', -99), float, mcOnly=True, help=""), ]) jetTypeExtra = NTupleObjectType("jetExtra", baseObjectTypes = [ jetType ], variables = [ NTupleVariable("area", lambda x : x.jetArea(), help="Catchment area of jet"), # QG variables: NTupleVariable("qgl", lambda x :x.qgl() , float, mcOnly=False,help="QG Likelihood"), NTupleVariable("ptd", lambda x : getattr(x.computeQGvars(),'ptd', 0), float, mcOnly=False,help="QG input variable: ptD"), NTupleVariable("axis2", lambda x : getattr(x.computeQGvars(),'axis2', 0) , float, mcOnly=False,help="QG input variable: axis2"), NTupleVariable("mult", lambda x : getattr(x.computeQGvars(),'mult', 0) , int, mcOnly=False,help="QG input variable: total multiplicity"), NTupleVariable("partonId", lambda x : getattr(x,'partonId', 0), int, mcOnly=True, help="parton flavour (manually matching to status 23 particles)"), NTupleVariable("partonMotherId", lambda x : getattr(x,'partonMotherId', 0), int, mcOnly=True, help="parton flavour (manually matching to status 23 particles)"), NTupleVariable("nLeptons", lambda x : len(x.leptons) if hasattr(x,'leptons') else 0 , float, mcOnly=False,help="Number of associated leptons"), ]) ##------------------------------------------ ## MET ##------------------------------------------ metType = NTupleObjectType("met", baseObjectTypes = [ fourVectorType ], variables = [ NTupleVariable("sumEt", lambda x : x.sumEt() ), NTupleVariable("rawPt", lambda x : x.uncorPt() ), NTupleVariable("rawPhi", lambda x : x.uncorPhi() ), NTupleVariable("rawSumEt", lambda x : x.uncorSumEt() ), NTupleVariable("genPt", lambda x : x.genMET().pt() if x.genMET() else 0 , mcOnly=True ), NTupleVariable("genPhi", lambda x : x.genMET().phi() if x.genMET() else 0, mcOnly=True ), NTupleVariable("genEta", lambda x : x.genMET().eta() if x.genMET() else 0, mcOnly=True ), ]) ##------------------------------------------ ## GENPARTICLE ##------------------------------------------ genParticleType = NTupleObjectType("genParticle", baseObjectTypes = [ particleType ], mcOnly=True, variables = [ NTupleVariable("charge", lambda x : x.threeCharge()/3.0, float), NTupleVariable("status", lambda x : x.status(),int), ]) genParticleWithMotherId = NTupleObjectType("genParticleWithMotherId", baseObjectTypes = [ genParticleType ], mcOnly=True, variables = [ NTupleVariable("motherId", lambda x : x.mother(0).pdgId() if x.mother(0) else 0, int, help="pdgId of the mother of the particle"), NTupleVariable("grandmotherId", lambda x : x.mother(0).mother(0).pdgId() if x.mother(0) and x.mother(0).mother(0) else 0, int, help="pdgId of the grandmother of the particle") ]) genParticleWithAncestryType = NTupleObjectType("genParticleWithAncestry", baseObjectTypes = [ genParticleType ], mcOnly=True, variables = [ NTupleVariable("motherId", lambda x : x.motherId, int, help="pdgId of the mother of the particle"), NTupleVariable("grandmotherId", lambda x : x.grandmotherId, int, help="pdgId of the grandmother of the particle"), NTupleVariable("sourceId", lambda x : x.sourceId, int, help="origin of the particle (heaviest ancestor): 6=t, 25=h, 23/24=W/Z"), ]) genParticleWithLinksType = NTupleObjectType("genParticleWithLinks", baseObjectTypes = [ genParticleWithAncestryType ], mcOnly=True, variables = [ NTupleVariable("motherIndex", lambda x : x.motherIndex, int, help="index of the mother in the generatorSummary") ])