objects.autophobj Namespace Reference

Variables
tuple	fourVectorType
tuple	genParticleType
	GENPARTICLE More...
tuple	genParticleWithAncestryType
tuple	genParticleWithLinksType
tuple	genParticleWithMotherId
tuple	isoTrackType
	ISOTRACK More...
tuple	jetType
	JET More...
tuple	jetTypeExtra
tuple	leptonType
	LEPTON More...
tuple	leptonTypeExtra
	EXTENDED VERSION WITH INDIVIUAL DISCRIMINATING VARIABLES. More...
tuple	metType
	MET More...
tuple	objectFloat
tuple	objectInt
tuple	particleType
tuple	photonType
	PHOTON More...
tuple	tauType
	TAU More...
tuple	twoVectorType

Variable Documentation

tuple objects.autophobj.fourVectorType

Initial value:

= 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
])

Definition at line 20 of file autophobj.py.

tuple objects.autophobj.genParticleType

Initial value:

= NTupleObjectType("genParticle", baseObjectTypes = [ particleType ], mcOnly=True, variables = [
    NTupleVariable("charge",   lambda x : x.threeCharge()/3.0, float),
    NTupleVariable("status",   lambda x : x.status(),int),
])

---

GENPARTICLE

Definition at line 185 of file autophobj.py.

tuple objects.autophobj.genParticleWithAncestryType

Initial value:

= 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"),
])

Definition at line 193 of file autophobj.py.

tuple objects.autophobj.genParticleWithLinksType

Initial value:

= NTupleObjectType("genParticleWithLinks", baseObjectTypes = [ genParticleWithAncestryType ], mcOnly=True, variables = [
    NTupleVariable("motherIndex", lambda x : x.motherIndex, int, help="index of the mother in the generatorSummary")
])

Definition at line 198 of file autophobj.py.

tuple objects.autophobj.genParticleWithMotherId

Initial value:

= 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")
])

Definition at line 189 of file autophobj.py.

tuple objects.autophobj.isoTrackType

Initial value:

= 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("mcMatchId",  lambda x : x.mcMatchId, 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

Definition at line 120 of file autophobj.py.

tuple objects.autophobj.jetType

Initial value:

= 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('combinedInclusiveSecondaryVertexV2BJetTags'), help="CSV-IVF v2 discriminator"),
    NTupleVariable("btagCMVA",  lambda x : x.btag('combinedMVABJetTags'), 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("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"),
])

---

JET

Definition at line 147 of file autophobj.py.

Referenced by JetFlavourCutFilter.filter(), JetFlavourFilter.filter(), HLTJetCollectionsFilter< jetType >.hltFilter(), HLTJetCollectionsFilter< jetType >.HLTJetCollectionsFilter(), HLTJetCollectionsForBoostedLeptonPlusJets< jetType >.HLTJetCollectionsForBoostedLeptonPlusJets(), HLTJetCollectionsForLeptonPlusJets< jetType >.HLTJetCollectionsForLeptonPlusJets(), JetFlavourCutFilter.JetFlavourCutFilter(), JetFlavourFilter.JetFlavourFilter(), TemplatedSecondaryVertexProducer< IPTI, VTX >.matchReclusteredJets(), HLTJetCollectionsForBoostedLeptonPlusJets< jetType >.produce(), and HLTJetCollectionsForLeptonPlusJets< jetType >.produce().

tuple objects.autophobj.jetTypeExtra

Initial value:

= NTupleObjectType("jetExtra",  baseObjectTypes = [ jetType ], variables = [
    NTupleVariable("area",   lambda x : x.jetArea(), help="Catchment area of jet"),
    # QG variables:
    NTupleVariable("qgl",   lambda x : getattr(x,'qgl', 0) , float, mcOnly=False,help="QG Likelihood"),
    NTupleVariable("ptd",   lambda x : getattr(x,'ptd', 0), float, mcOnly=False,help="QG input variable: ptD"),
    NTupleVariable("axis2",   lambda x : getattr(x,'axis2', 0) , float, mcOnly=False,help="QG input variable: axis2"),
    NTupleVariable("mult",   lambda x : getattr(x,'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"),
])

Definition at line 157 of file autophobj.py.

tuple objects.autophobj.leptonType

Initial value:

= 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"),
    # 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.gsfTrack().dzError() if abs(x.pdgId())==11 else x.innerTrack().dzError() , 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"),
    # 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 : x.mcMatchId, 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 : x.mcMatchAny, 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 : x.mcMatchTau, int, mcOnly=True, help="True if the leptons comes from a tau"),
])

---

LEPTON

BASIC VERSION WITH ONLY MAIN LEPTON ID CRITERIA

Definition at line 37 of file autophobj.py.

Referenced by TopGenEvent.numberOfLeptons().

tuple objects.autophobj.leptonTypeExtra

EXTENDED VERSION WITH INDIVIUAL DISCRIMINATING VARIABLES.

Definition at line 65 of file autophobj.py.

tuple objects.autophobj.metType

Initial value:

= NTupleObjectType("met", baseObjectTypes = [ fourVectorType ], variables = [
    NTupleVariable("sumEt", lambda x : x.sumEt() ),
    NTupleVariable("genPt",  lambda x : x.genMET().pt() , mcOnly=True ),
    NTupleVariable("genPhi", lambda x : x.genMET().phi(), mcOnly=True ),
    NTupleVariable("genEta", lambda x : x.genMET().eta(), mcOnly=True ),
])

---

MET

Definition at line 174 of file autophobj.py.

tuple objects.autophobj.objectFloat

Initial value:

= NTupleObjectType("builtInType", variables = [
    NTupleVariable("",    lambda x : x),
])

Definition at line 8 of file autophobj.py.

tuple objects.autophobj.objectInt

Initial value:

= NTupleObjectType("builtInType", variables = [
    NTupleVariable("",    lambda x : x,int),
])

Definition at line 11 of file autophobj.py.

tuple objects.autophobj.particleType

Initial value:

= NTupleObjectType("particle", baseObjectTypes = [ fourVectorType ], variables = [
    NTupleVariable("pdgId",   lambda x : x.pdgId(), int),
])

Definition at line 28 of file autophobj.py.

Referenced by PFMEtSignInterfaceBase.compResolution(), GflashHadronShowerModel.DoIt(), ZdcSD.getEnergyDeposit(), CastorSD.getEnergyDeposit(), CastorShowerLibraryMaker.GetMissingEnergy(), TotemSD.GetStepInfo(), CalorimetryManager.HDShowerSimulation(), QualityCutsAnalyzer::histogram_t.histogram_t(), GflashHadronShowerModel.isFirstInelasticInteraction(), VertexHistoryAnalyzer.particleString(), TrackHistoryAnalyzer.particleString(), PFAlgo.processBlock(), PFAlgo.reconstructCluster(), PFAlgo.reconstructTrack(), RPCDigiSimLink.RPCDigiSimLink(), DigiSimLinkAlgorithm.run(), PFElectronAlgo.SetCandidates(), FillInfo.setParticleTypeForBeam1(), FillInfo.setParticleTypeForBeam2(), RPCSimAsymmetricCls.simulate(), RPCSimAverageNoiseEff.simulate(), RPCSimAverageNoiseEffCls.simulate(), CastorTestAnalysis.update(), ZdcTestAnalysis.update(), CastorShowerLibraryMaker.update(), FP420Test.update(), BscTest.update(), VertexHistoryAnalyzer.vertexString(), and TrackHistoryAnalyzer.vertexString().

tuple objects.autophobj.photonType

Initial value:

= 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.r9(), float, help="r9 for photons"),
    NTupleVariable("sigmaIetaIeta",  lambda x : x.sigmaIetaIeta(), float, help="sigmaIetaIeta for photons"),
    NTupleVariable("chHadIso",  lambda x : x.chargedHadronIso(), float, help="chargedHadronIsolation for photons"),
    NTupleVariable("neuHadIso",  lambda x : x.neutralHadronIso(), float, help="neutralHadronIsolation for photons"),
    NTupleVariable("phIso",  lambda x : x.photonIso(), float, help="gammaIsolation for photons"),
    NTupleVariable("mcMatchId",  lambda x : x.mcMatchId, 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

Definition at line 132 of file autophobj.py.

Referenced by gen::EvtGenInterface.init().

tuple objects.autophobj.tauType

Initial value:

= NTupleObjectType("tau",  baseObjectTypes = [ particleType ], variables = [
    NTupleVariable("charge",   lambda x : x.charge(), 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("idMVA2", lambda x : x.idMVA2, int, help="1,2,3 if the tau passes the loose, medium, tight WP of the By<X>IsolationMVA2 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("isoCI3hit",  lambda x : x.tauID("byCombinedIsolationDeltaBetaCorrRaw3Hits"), help="byCombinedIsolationDeltaBetaCorrRaw3Hits raw output discriminator"),
    #NTupleVariable("isoMVA2",  lambda x : x.tauID("byIsolationMVA2raw"), help="ByIsolationMVA2 raw output discriminator"),
    # MC-match info
    NTupleVariable("mcMatchId",  lambda x : x.mcMatchId, 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"),
])

---

TAU

Definition at line 104 of file autophobj.py.

tuple objects.autophobj.twoVectorType

Initial value:

= NTupleObjectType("twoVector", variables = [
    NTupleVariable("pt",    lambda x : x.pt()),
    NTupleVariable("phi",   lambda x : x.phi()),
])

Definition at line 15 of file autophobj.py.