jetsAK8_cff.py

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import FWCore.ParameterSet.Config as cms

from PhysicsTools.NanoAOD.nano_eras_cff import *
from PhysicsTools.NanoAOD.common_cff 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 )
jetCorrFactorsAK8 = cms.EDProducer("JetCorrFactorsProducer",
    emf = cms.bool(False),
    extraJPTOffset = cms.string('L1FastJet'),
    flavorType = cms.string('J'),
    levels = cms.vstring(
        'L1FastJet',
        'L2Relative',
        'L3Absolute',
        'L2L3Residual'
    ),
    mightGet = cms.optional.untracked.vstring,
    payload = cms.string('AK8PFPuppi'),
    primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"),
    rho = cms.InputTag("fixedGridRhoFastjetAll"),
    src = cms.InputTag("slimmedJetsAK8"),
    useNPV = cms.bool(True),
    useRho = cms.bool(True)
)


updatedJetsAK8 = cms.EDProducer("PATJetUpdater",
    addBTagInfo = cms.bool(False),
    addDiscriminators = cms.bool(True),
    addJetCorrFactors = cms.bool(True),
    addTagInfos = cms.bool(False),
    discriminatorSources = cms.VInputTag(),
    jetCorrFactorsSource = cms.VInputTag(cms.InputTag("jetCorrFactorsAK8")),
    jetSource = cms.InputTag("slimmedJetsAK8"),
    mightGet = cms.optional.untracked.vstring,
    printWarning = cms.bool(True),
    sort = cms.bool(True),
    tagInfoSources = cms.VInputTag(),
    userData = cms.PSet(
        userCands = cms.PSet(
            src = cms.VInputTag("")
        ),
        userClasses = cms.PSet(
            src = cms.VInputTag("")
        ),
        userFloats = cms.PSet(
            src = cms.VInputTag("")
        ),
        userFunctionLabels = cms.vstring(),
        userFunctions = cms.vstring(),
        userInts = cms.PSet(
            src = cms.VInputTag("")
        )
    )
)

#
# JetID
#
looseJetIdAK8 = cms.EDProducer("PatJetIDValueMapProducer",
  filterParams=cms.PSet(
    version = cms.string('WINTER16'),
    quality = cms.string('LOOSE'),
  ),
  src = cms.InputTag("updatedJetsAK8")
)
tightJetIdAK8 = cms.EDProducer("PatJetIDValueMapProducer",
    filterParams=cms.PSet(
        version = cms.string('RUN2ULPUPPI'),
        quality = cms.string('TIGHT'),
    ),
    src = cms.InputTag("updatedJetsAK8")
)
tightJetIdLepVetoAK8 = cms.EDProducer("PatJetIDValueMapProducer",
    filterParams=cms.PSet(
        version = cms.string('RUN2ULPUPPI'),
        quality = cms.string('TIGHTLEPVETO'),
    ),
    src = cms.InputTag("updatedJetsAK8")
)

run2_jme_2016.toModify( tightJetIdAK8.filterParams, version = "RUN2UL16PUPPI" )
run2_jme_2016.toModify( tightJetIdLepVetoAK8.filterParams, version = "RUN2UL16PUPPI" )


updatedJetsAK8WithUserData = cms.EDProducer("PATJetUserDataEmbedder",
    src = cms.InputTag("updatedJetsAK8"),
    userFloats = cms.PSet(),
    userInts = cms.PSet(
        tightId = cms.InputTag("tightJetIdAK8"),
        tightIdLepVeto = cms.InputTag("tightJetIdLepVetoAK8"),
    ),
)


finalJetsAK8 = cms.EDFilter("PATJetRefSelector",
    src = cms.InputTag("updatedJetsAK8WithUserData"),
    cut = cms.string("pt > 170")
)


lepInAK8JetVars = cms.EDProducer("LepInJetProducer",
    src = cms.InputTag("updatedJetsAK8WithUserData"),
    srcEle = cms.InputTag("finalElectrons"),
    srcMu = cms.InputTag("finalMuons")
)

fatJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
    src = cms.InputTag("finalJetsAK8"),
    cut = cms.string(" pt > 170"), #probably already applied in miniaod
    name = cms.string("FatJet"),
    doc  = cms.string("slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis"),
    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(P4Vars,
        jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
        area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
        rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
        tau1 = Var("userFloat('NjettinessAK8Puppi:tau1')",float, doc="Nsubjettiness (1 axis)",precision=10),
        tau2 = Var("userFloat('NjettinessAK8Puppi:tau2')",float, doc="Nsubjettiness (2 axis)",precision=10),
        tau3 = Var("userFloat('NjettinessAK8Puppi:tau3')",float, doc="Nsubjettiness (3 axis)",precision=10),
        tau4 = Var("userFloat('NjettinessAK8Puppi:tau4')",float, doc="Nsubjettiness (4 axis)",precision=10),
        n2b1 = Var("?hasUserFloat('nb1AK8PuppiSoftDrop:ecfN2')?userFloat('nb1AK8PuppiSoftDrop:ecfN2'):-99999.", float, doc="N2 with beta=1 (for jets with raw pT>250 GeV)", precision=10),
        n3b1 = Var("?hasUserFloat('nb1AK8PuppiSoftDrop:ecfN3')?userFloat('nb1AK8PuppiSoftDrop:ecfN3'):-99999.", float, doc="N3 with beta=1 (for jets with raw pT>250 GeV)", precision=10),
        msoftdrop = Var("groomedMass('SoftDropPuppi')",float, doc="Corrected soft drop mass with PUPPI",precision=10),
        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),
        btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
        btagHbb = Var("bDiscriminator('pfBoostedDoubleSecondaryVertexAK8BJetTags')",float,doc="Higgs to BB tagger discriminator",precision=10),
        btagDDBvLV2 = Var("bDiscriminator('pfMassIndependentDeepDoubleBvLV2JetTags:probHbb')",float,doc="DeepDoubleX V2(mass-decorrelated) discriminator for H(Z)->bb vs QCD",precision=10),
        btagDDCvLV2 = Var("bDiscriminator('pfMassIndependentDeepDoubleCvLV2JetTags:probHcc')",float,doc="DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs QCD",precision=10),
        btagDDCvBV2 = Var("bDiscriminator('pfMassIndependentDeepDoubleCvBV2JetTags:probHcc')",float,doc="DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb",precision=10),
        deepTag_TvsQCD = Var("bDiscriminator('pfDeepBoostedDiscriminatorsJetTags:TvsQCD')",float,doc="DeepBoostedJet tagger top vs QCD discriminator",precision=10),
        deepTag_WvsQCD = Var("bDiscriminator('pfDeepBoostedDiscriminatorsJetTags:WvsQCD')",float,doc="DeepBoostedJet tagger W vs QCD discriminator",precision=10),
        deepTag_ZvsQCD = Var("bDiscriminator('pfDeepBoostedDiscriminatorsJetTags:ZvsQCD')",float,doc="DeepBoostedJet tagger Z vs QCD discriminator",precision=10),
        deepTag_H = Var("bDiscriminator('pfDeepBoostedJetTags:probHbb')+bDiscriminator('pfDeepBoostedJetTags:probHcc')+bDiscriminator('pfDeepBoostedJetTags:probHqqqq')",float,doc="DeepBoostedJet tagger H(bb,cc,4q) sum",precision=10),
        deepTag_QCD = Var("bDiscriminator('pfDeepBoostedJetTags:probQCDbb')+bDiscriminator('pfDeepBoostedJetTags:probQCDcc')+bDiscriminator('pfDeepBoostedJetTags:probQCDb')+bDiscriminator('pfDeepBoostedJetTags:probQCDc')+bDiscriminator('pfDeepBoostedJetTags:probQCDothers')",float,doc="DeepBoostedJet tagger QCD(bb,cc,b,c,others) sum",precision=10),
        deepTag_QCDothers = Var("bDiscriminator('pfDeepBoostedJetTags:probQCDothers')",float,doc="DeepBoostedJet tagger QCDothers value",precision=10),
        deepTagMD_TvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:TvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger top vs QCD discriminator",precision=10),
        deepTagMD_WvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:WvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger W vs QCD discriminator",precision=10),
        deepTagMD_ZvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z vs QCD discriminator",precision=10),
        deepTagMD_ZHbbvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZHbbvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H->bb vs QCD discriminator",precision=10),
        deepTagMD_ZbbvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZbbvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z->bb vs QCD discriminator",precision=10),
        deepTagMD_HbbvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:HbbvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger H->bb vs QCD discriminator",precision=10),
        deepTagMD_ZHccvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ZHccvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H->cc vs QCD discriminator",precision=10),
        deepTagMD_H4qvsQCD = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:H4qvsQCD')",float,doc="Mass-decorrelated DeepBoostedJet tagger H->4q vs QCD discriminator",precision=10),
        deepTagMD_bbvsLight = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:bbvsLight')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->bb vs light flavour discriminator",precision=10),
        deepTagMD_ccvsLight = Var("bDiscriminator('pfMassDecorrelatedDeepBoostedDiscriminatorsJetTags:ccvsLight')",float,doc="Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->cc vs light flavour discriminator",precision=10),
        particleNet_TvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:TvsQCD')",float,doc="ParticleNet tagger top vs QCD discriminator",precision=10),
        particleNet_WvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:WvsQCD')",float,doc="ParticleNet tagger W vs QCD discriminator",precision=10),
        particleNet_ZvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:ZvsQCD')",float,doc="ParticleNet tagger Z vs QCD discriminator",precision=10),
        particleNet_HbbvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:HbbvsQCD')",float,doc="ParticleNet tagger H(->bb) vs QCD discriminator",precision=10),
        particleNet_HccvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:HccvsQCD')",float,doc="ParticleNet tagger H(->cc) vs QCD discriminator",precision=10),
        particleNet_H4qvsQCD = Var("bDiscriminator('pfParticleNetDiscriminatorsJetTags:H4qvsQCD')",float,doc="ParticleNet tagger H(->VV->qqqq) vs QCD discriminator",precision=10),
        particleNet_QCD = Var("bDiscriminator('pfParticleNetJetTags:probQCDbb')+bDiscriminator('pfParticleNetJetTags:probQCDcc')+bDiscriminator('pfParticleNetJetTags:probQCDb')+bDiscriminator('pfParticleNetJetTags:probQCDc')+bDiscriminator('pfParticleNetJetTags:probQCDothers')",float,doc="ParticleNet tagger QCD(bb,cc,b,c,others) sum",precision=10),
        particleNet_mass = Var("bDiscriminator('pfParticleNetMassRegressionJetTags:mass')",float,doc="ParticleNet mass regression",precision=10),
        particleNetMD_Xbb = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probXbb')",float,doc="Mass-decorrelated ParticleNet tagger raw X->bb score. For X->bb vs QCD tagging, use Xbb/(Xbb+QCD)",precision=10),
        particleNetMD_Xcc = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probXcc')",float,doc="Mass-decorrelated ParticleNet tagger raw X->cc score. For X->cc vs QCD tagging, use Xcc/(Xcc+QCD)",precision=10),
        particleNetMD_Xqq = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probXqq')",float,doc="Mass-decorrelated ParticleNet tagger raw X->qq (uds) score. For X->qq vs QCD tagging, use Xqq/(Xqq+QCD). For W vs QCD tagging, use (Xcc+Xqq)/(Xcc+Xqq+QCD)",precision=10),
        particleNetMD_QCD = Var("bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDbb')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDcc')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDb')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDc')+bDiscriminator('pfMassDecorrelatedParticleNetJetTags:probQCDothers')",float,doc="Mass-decorrelated ParticleNet tagger raw QCD score",precision=10),
        subJetIdx1 = Var("?nSubjetCollections()>0 && subjets('SoftDropPuppi').size()>0?subjets('SoftDropPuppi')[0].key():-1", int,
            doc="index of first subjet"),
        subJetIdx2 = Var("?nSubjetCollections()>0 && subjets('SoftDropPuppi').size()>1?subjets('SoftDropPuppi')[1].key():-1", int,
            doc="index of second subjet"),
        nConstituents = Var("numberOfDaughters()","uint8",doc="Number of particles in the jet"),
    ),
    externalVariables = cms.PSet(
        lsf3 = ExtVar(cms.InputTag("lepInAK8JetVars:lsf3"),float, doc="Lepton Subjet Fraction (3 subjets)",precision=10),
        muonIdx3SJ = ExtVar(cms.InputTag("lepInAK8JetVars:muIdx3SJ"),int, doc="index of muon matched to jet"),
        electronIdx3SJ = ExtVar(cms.InputTag("lepInAK8JetVars:eleIdx3SJ"),int,doc="index of electron matched to jet"),
    )
)


from PhysicsTools.PatAlgos.tools.jetTools import updateJetCollection
def nanoAOD_addDeepInfoAK8(process, addDeepBTag, addDeepBoostedJet, addDeepDoubleX, addDeepDoubleXV2, addParticleNet, addParticleNetMass, jecPayload):
    _btagDiscriminators=[]
    if addDeepBTag:
        print("Updating process to run DeepCSV btag to AK8 jets")
        _btagDiscriminators += ['pfDeepCSVJetTags:probb','pfDeepCSVJetTags:probbb']
    if addDeepBoostedJet:
        print("Updating process to run DeepBoostedJet on datasets before 103X")
        from RecoBTag.ONNXRuntime.pfDeepBoostedJet_cff import _pfDeepBoostedJetTagsAll as pfDeepBoostedJetTagsAll
        _btagDiscriminators += pfDeepBoostedJetTagsAll
    if addParticleNet:
        print("Updating process to run ParticleNet before it's included in MiniAOD")
        from RecoBTag.ONNXRuntime.pfParticleNet_cff import _pfParticleNetJetTagsAll as pfParticleNetJetTagsAll
        _btagDiscriminators += pfParticleNetJetTagsAll
    if addParticleNetMass:
        from RecoBTag.ONNXRuntime.pfParticleNet_cff import _pfParticleNetMassRegressionOutputs
        _btagDiscriminators += _pfParticleNetMassRegressionOutputs
    if addDeepDoubleX:
        print("Updating process to run DeepDoubleX on datasets before 104X")
        _btagDiscriminators += ['pfDeepDoubleBvLJetTags:probHbb', \
            'pfDeepDoubleCvLJetTags:probHcc', \
            'pfDeepDoubleCvBJetTags:probHcc', \
            'pfMassIndependentDeepDoubleBvLJetTags:probHbb', 'pfMassIndependentDeepDoubleCvLJetTags:probHcc', 'pfMassIndependentDeepDoubleCvBJetTags:probHcc']
    if addDeepDoubleXV2:
        print("Updating process to run DeepDoubleXv2 on datasets before 11X")
        _btagDiscriminators += [
            'pfMassIndependentDeepDoubleBvLV2JetTags:probHbb',
            'pfMassIndependentDeepDoubleCvLV2JetTags:probHcc',
            'pfMassIndependentDeepDoubleCvBV2JetTags:probHcc'
            ]
    if len(_btagDiscriminators)==0: return process
    print("Will recalculate the following discriminators on AK8 jets: "+", ".join(_btagDiscriminators))
    updateJetCollection(
       process,
       jetSource = cms.InputTag('slimmedJetsAK8'),
       pvSource = cms.InputTag('offlineSlimmedPrimaryVertices'),
       svSource = cms.InputTag('slimmedSecondaryVertices'),
       rParam = 0.8,
       jetCorrections = (jecPayload.value(), cms.vstring(['L1FastJet', 'L2Relative', 'L3Absolute', 'L2L3Residual']), 'None'),
       btagDiscriminators = _btagDiscriminators,
       postfix='AK8WithDeepInfo',
       printWarning = False
    )
    process.jetCorrFactorsAK8.src="selectedUpdatedPatJetsAK8WithDeepInfo"
    process.updatedJetsAK8.jetSource="selectedUpdatedPatJetsAK8WithDeepInfo"
    return process

nanoAOD_addDeepInfoAK8_switch = cms.PSet(
    nanoAOD_addDeepBTag_switch = cms.untracked.bool(False),
    nanoAOD_addDeepBoostedJet_switch = cms.untracked.bool(False),
    nanoAOD_addDeepDoubleX_switch = cms.untracked.bool(False),
    nanoAOD_addDeepDoubleXV2_switch = cms.untracked.bool(False),
    nanoAOD_addParticleNet_switch = cms.untracked.bool(False),
    nanoAOD_addParticleNetMass_switch = cms.untracked.bool(False),
    jecPayload = cms.untracked.string('AK8PFPuppi')
)

# for 106Xv2: only needs to run ParticleNet Mass regression; The rest are already in MiniAOD
run2_nanoAOD_106Xv2.toModify(
    nanoAOD_addDeepInfoAK8_switch,
    nanoAOD_addParticleNetMass_switch = True,
)


subJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
    src = cms.InputTag("slimmedJetsAK8PFPuppiSoftDropPacked","SubJets"),
    cut = cms.string(""), #probably already applied in miniaod
    name = cms.string("SubJet"),
    doc  = cms.string("slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis"),
    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(P4Vars,
        btagDeepB = Var("bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')",float,doc="DeepCSV b+bb tag discriminator",precision=10),
        btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
        rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
        tau1 = Var("userFloat('NjettinessAK8Subjets:tau1')",float, doc="Nsubjettiness (1 axis)",precision=10),
        tau2 = Var("userFloat('NjettinessAK8Subjets:tau2')",float, doc="Nsubjettiness (2 axis)",precision=10),
        tau3 = Var("userFloat('NjettinessAK8Subjets:tau3')",float, doc="Nsubjettiness (3 axis)",precision=10),
        tau4 = Var("userFloat('NjettinessAK8Subjets:tau4')",float, doc="Nsubjettiness (4 axis)",precision=10),
        n2b1 = Var("userFloat('nb1AK8PuppiSoftDropSubjets:ecfN2')", float, doc="N2 with beta=1", precision=10),
        n3b1 = Var("userFloat('nb1AK8PuppiSoftDropSubjets:ecfN3')", float, doc="N3 with beta=1", precision=10),
    )
)


#jets are not as precise as muons
fatJetTable.variables.pt.precision=10
subJetTable.variables.pt.precision=10


jetAK8UserDataTask = cms.Task(tightJetIdAK8,tightJetIdLepVetoAK8)
jetAK8Task = cms.Task(jetCorrFactorsAK8,updatedJetsAK8,jetAK8UserDataTask,updatedJetsAK8WithUserData,finalJetsAK8)

#after lepton collections have been run
jetAK8LepTask = cms.Task(lepInAK8JetVars)

jetAK8TablesTask = cms.Task(fatJetTable,subJetTable)