nano_cff.py

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from __future__ import print_function
import FWCore.ParameterSet.Config as cms
from PhysicsTools.NanoAOD.common_cff import *
from PhysicsTools.NanoAOD.nano_eras_cff import *
from PhysicsTools.NanoAOD.jets_cff import *
from PhysicsTools.NanoAOD.jetMC_cff import *
from PhysicsTools.NanoAOD.muons_cff import *
from PhysicsTools.NanoAOD.taus_cff import *
from PhysicsTools.NanoAOD.boostedTaus_cff import *
from PhysicsTools.NanoAOD.electrons_cff import *
from PhysicsTools.NanoAOD.lowPtElectrons_cff import *
from PhysicsTools.NanoAOD.photons_cff import *
from PhysicsTools.NanoAOD.globals_cff import *
from PhysicsTools.NanoAOD.extraflags_cff import *
from PhysicsTools.NanoAOD.ttbarCategorization_cff import *
from PhysicsTools.NanoAOD.genparticles_cff import *
from PhysicsTools.NanoAOD.particlelevel_cff import *
from PhysicsTools.NanoAOD.genWeightsTable_cfi import *
from PhysicsTools.NanoAOD.genVertex_cff import *
from PhysicsTools.NanoAOD.vertices_cff import *
from PhysicsTools.NanoAOD.met_cff import *
from PhysicsTools.NanoAOD.triggerObjects_cff import *
from PhysicsTools.NanoAOD.isotracks_cff import *
from PhysicsTools.NanoAOD.protons_cff import *
from PhysicsTools.NanoAOD.btagWeightTable_cff import *
from PhysicsTools.NanoAOD.NanoAODEDMEventContent_cff import *
from PhysicsTools.NanoAOD.fsrPhotons_cff import *
from PhysicsTools.NanoAOD.softActivity_cff import *

nanoMetadata = cms.EDProducer("UniqueStringProducer",
    strings = cms.PSet(
        tag = cms.string("untagged"),
    )
)

linkedObjects = cms.EDProducer("PATObjectCrossLinker",
   jets=cms.InputTag("finalJets"),
   muons=cms.InputTag("finalMuons"),
   electrons=cms.InputTag("finalElectrons"),
   taus=cms.InputTag("finalTaus"),
   photons=cms.InputTag("finalPhotons"),
)

simpleCleanerTable = cms.EDProducer("NanoAODSimpleCrossCleaner",
   name=cms.string("cleanmask"),
   doc=cms.string("simple cleaning mask with priority to leptons"),
   jets=cms.InputTag("linkedObjects","jets"),
   muons=cms.InputTag("linkedObjects","muons"),
   electrons=cms.InputTag("linkedObjects","electrons"),
   taus=cms.InputTag("linkedObjects","taus"),
   photons=cms.InputTag("linkedObjects","photons"),
   jetSel=cms.string("pt>15"),
   muonSel=cms.string("track.isNonnull && isLooseMuon && isPFMuon && innerTrack.validFraction >= 0.49 && ( isGlobalMuon && globalTrack.normalizedChi2 < 3 && combinedQuality.chi2LocalPosition < 12 && combinedQuality.trkKink < 20 && segmentCompatibility >= 0.303 || segmentCompatibility >= 0.451 )"),
   electronSel=cms.string(""),
   tauSel=cms.string(""),
   photonSel=cms.string(""),
   jetName=cms.string("Jet"),muonName=cms.string("Muon"),electronName=cms.string("Electron"),
   tauName=cms.string("Tau"),photonName=cms.string("Photon")
)


lhcInfoTable = cms.EDProducer("LHCInfoProducer",
                              precision = cms.int32(10),
)

nanoTableTaskCommon = cms.Task(
     cms.Task(nanoMetadata), jetTask, jetForMETTask, extraFlagsProducersTask, muonTask, tauTask, boostedTauTask,
     electronTask , lowPtElectronTask, photonTask,
     vertexTask, isoTrackTask, jetLepTask,  # must be after all the leptons
     softActivityTask,
     cms.Task(linkedObjects),
     jetTablesTask, muonTablesTask, fsrTablesTask, tauTablesTask, boostedTauTablesTask,
     electronTablesTask, lowPtElectronTablesTask, photonTablesTask,
     globalTablesTask, vertexTablesTask, metTablesTask, simpleCleanerTable, extraFlagsTableTask,
     isoTrackTablesTask,softActivityTablesTask
 )

nanoSequenceCommon = cms.Sequence(nanoTableTaskCommon)

nanoSequenceOnlyFullSim = cms.Sequence(triggerObjectTablesTask)
nanoSequenceOnlyData = cms.Sequence(cms.Sequence(protonTablesTask) + lhcInfoTable)

nanoSequence = cms.Sequence(nanoSequenceCommon + nanoSequenceOnlyData + nanoSequenceOnlyFullSim)

nanoTableTaskFS = cms.Task(genParticleTask, particleLevelTask, jetMCTask, muonMCTask, electronMCTask, lowPtElectronMCTask, photonMCTask,
                            tauMCTask, boostedTauMCTask,
                            metMCTable, ttbarCatMCProducersTask, globalTablesMCTask, cms.Task(btagWeightTable), ttbarCategoryTableTask,
                            genWeightsTableTask, genVertexTablesTask, genParticleTablesTask, genProtonTablesTask, particleLevelTablesTask)

nanoSequenceFS = cms.Sequence(nanoSequenceCommon + cms.Sequence(nanoTableTaskFS))

# GenVertex only stored in newer MiniAOD
nanoSequenceMC = nanoSequenceFS.copy()
nanoSequenceMC.insert(nanoSequenceFS.index(nanoSequenceCommon)+1,nanoSequenceOnlyFullSim)

# modifier which adds new tauIDs (currently only deepTauId2017v2p1 is being added)
import RecoTauTag.RecoTau.tools.runTauIdMVA as tauIdConfig
def nanoAOD_addTauIds(process, idsToRun=[]):
    if idsToRun: #no-empty list of tauIDs to run
        updatedTauName = "slimmedTausUpdated"
        tauIdEmbedder = tauIdConfig.TauIDEmbedder(process, debug = False,
                                                  updatedTauName = updatedTauName,
            toKeep = idsToRun)
        tauIdEmbedder.runTauID()
        _tauTask = patTauMVAIDsTask.copy()
        _tauTask.add(process.rerunMvaIsolationTask)
        _tauTask.add(finalTaus)
        process.finalTaus.src = updatedTauName
        #remember to adjust the selection and tables with added IDs

        process.tauTask = _tauTask.copy()

    return process

def nanoAOD_addBoostedTauIds(process, idsToRun=[]):
    if idsToRun: #no-empty list of tauIDs to run
        updatedBoostedTauName = "slimmedTausBoostedNewID"
        boostedTauIdEmbedder = tauIdConfig.TauIDEmbedder(process, debug = False,
                                                         originalTauName = "slimmedTausBoosted",
                                                         updatedTauName = updatedBoostedTauName,
                                                         postfix = "Boosted",
                                                         toKeep = idsToRun)
        boostedTauIdEmbedder.runTauID()
        _boostedTauTask = process.rerunMvaIsolationTaskBoosted.copy()
        _boostedTauTask.add(getattr(process, updatedBoostedTauName))
        _boostedTauTask.add(process.finalBoostedTaus)
        process.finalBoostedTaus.src = updatedBoostedTauName
        #remember to adjust the selection and tables with added IDs

        process.boostedTauTask = _boostedTauTask.copy()

    return process


from PhysicsTools.PatAlgos.tools.jetTools import updateJetCollection
def nanoAOD_addDeepInfo(process,addDeepBTag,addDeepFlavour):
    _btagDiscriminators=[]
    if addDeepBTag:
        print("Updating process to run DeepCSV btag")
        _btagDiscriminators += ['pfDeepCSVJetTags:probb','pfDeepCSVJetTags:probbb','pfDeepCSVJetTags:probc']
    if addDeepFlavour:
        print("Updating process to run DeepFlavour btag")
        _btagDiscriminators += ['pfDeepFlavourJetTags:probb','pfDeepFlavourJetTags:probbb','pfDeepFlavourJetTags:problepb','pfDeepFlavourJetTags:probc']
    if len(_btagDiscriminators)==0: return process
    print("Will recalculate the following discriminators: "+", ".join(_btagDiscriminators))
    updateJetCollection(
               process,
               jetSource = cms.InputTag('slimmedJets'),
               jetCorrections = ('AK4PFchs', cms.vstring(['L1FastJet', 'L2Relative', 'L3Absolute','L2L3Residual']), 'None'),
               btagDiscriminators = _btagDiscriminators,
               postfix = 'WithDeepInfo',
           )
    process.load("Configuration.StandardSequences.MagneticField_cff")
    process.jetCorrFactorsNano.src="selectedUpdatedPatJetsWithDeepInfo"
    process.updatedJets.jetSource="selectedUpdatedPatJetsWithDeepInfo"
    return process


from PhysicsTools.PatUtils.tools.runMETCorrectionsAndUncertainties import runMetCorAndUncFromMiniAOD
def nanoAOD_recalibrateMETs(process,isData):
    # add DeepMETs
    nanoAOD_DeepMET_switch = cms.PSet(
        ResponseTune_Graph = cms.untracked.string('RecoMET/METPUSubtraction/data/deepmet/deepmet_resp_v1_2018.pb')
    )
    for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
        modifier.toModify(nanoAOD_DeepMET_switch, ResponseTune_Graph=cms.untracked.string("RecoMET/METPUSubtraction/data/deepmet/deepmet_resp_v1_2016.pb"))

    print("add DeepMET Producers")
    process.load('RecoMET.METPUSubtraction.deepMETProducer_cfi')
    process.deepMETsResolutionTune = process.deepMETProducer.clone()
    process.deepMETsResponseTune = process.deepMETProducer.clone()
    process.deepMETsResponseTune.graph_path = nanoAOD_DeepMET_switch.ResponseTune_Graph.value()

    runMetCorAndUncFromMiniAOD(process,isData=isData)
    process.nanoSequenceCommon.insert(2,cms.Sequence(process.fullPatMetSequence))


    from PhysicsTools.PatAlgos.slimming.puppiForMET_cff import makePuppiesFromMiniAOD
    makePuppiesFromMiniAOD(process,True)
    process.puppiNoLep.useExistingWeights = True
    process.puppi.useExistingWeights = True
    run2_nanoAOD_106Xv1.toModify(process.puppiNoLep, useExistingWeights = False)
    run2_nanoAOD_106Xv1.toModify(process.puppi, useExistingWeights = False)
    print("will make Puppies on top of MINIAOD")

#    makePuppiesFromMiniAOD(process,True) # call this before in the global customizer otherwise it would reset photon IDs in VID
    nanoAOD_PuppiV15_switch = cms.PSet(
            recoMetFromPFCs = cms.untracked.bool(False),
            reclusterJets = cms.untracked.bool(False),
            )
    run2_nanoAOD_106Xv1.toModify(nanoAOD_PuppiV15_switch,recoMetFromPFCs=True,reclusterJets=True)
    if nanoAOD_PuppiV15_switch.reclusterJets:
        from RecoJets.JetProducers.ak4PFJets_cfi import ak4PFJets
        from PhysicsTools.PatAlgos.tools.helpers import getPatAlgosToolsTask, addToProcessAndTask
        task = getPatAlgosToolsTask(process)
        addToProcessAndTask('ak4PuppiJets', ak4PFJets.clone (src = 'puppi', doAreaFastjet = True, jetPtMin = 10.), process, task)
        from PhysicsTools.PatAlgos.tools.jetTools import addJetCollection
        addJetCollection(process,
                            labelName = 'Puppi',
                            jetSource = cms.InputTag('ak4PuppiJets'),
                            algo = 'AK', rParam=0.4,
                            genJetCollection=cms.InputTag('slimmedGenJets'),
                            jetCorrections = ('AK4PFPuppi', ['L1FastJet', 'L2Relative', 'L3Absolute','L2L3Residual'], 'None'),
                            pfCandidates = cms.InputTag('packedPFCandidates'),
                            pvSource = cms.InputTag('offlineSlimmedPrimaryVertices'),
                            svSource = cms.InputTag('slimmedSecondaryVertices'),
                            muSource =cms.InputTag( 'slimmedMuons'),
                            elSource = cms.InputTag('slimmedElectrons'),
                            genParticles= cms.InputTag('prunedGenParticles'),
                            getJetMCFlavour= False
        )

        process.patJetsPuppi.addGenPartonMatch = cms.bool(False)
        process.patJetsPuppi.addGenJetMatch = cms.bool(False)

        print("nanoAOD_PuppiV15_switch.reclusterJets is true")

    runMetCorAndUncFromMiniAOD(process,isData=isData,metType="Puppi",postfix="Puppi",jetFlavor="AK4PFPuppi", recoMetFromPFCs=bool(nanoAOD_PuppiV15_switch.recoMetFromPFCs), reclusterJets=bool(nanoAOD_PuppiV15_switch.reclusterJets))
    process.nanoSequenceCommon.insert(2,cms.Sequence(process.puppiMETSequence+process.fullPatMetSequencePuppi))

    return process

from PhysicsTools.SelectorUtils.tools.vid_id_tools import *
def nanoAOD_activateVID(process):

    switchOnVIDElectronIdProducer(process,DataFormat.MiniAOD,electronTask)
    for modname in electron_id_modules_WorkingPoints_nanoAOD.modules:
        setupAllVIDIdsInModule(process,modname,setupVIDElectronSelection)

    electronTask_ = process.egmGsfElectronIDTask.copy()
    electronTask_.add(electronTask.copy())
    process.electronTask = electronTask_.copy()
    for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_94X2016,run2_nanoAOD_102Xv1,run2_nanoAOD_106Xv1:
        modifier.toModify(process.electronMVAValueMapProducer, src = "slimmedElectronsUpdated")
        modifier.toModify(process.egmGsfElectronIDs, physicsObjectSrc = "slimmedElectronsUpdated")

    switchOnVIDPhotonIdProducer(process,DataFormat.MiniAOD,photonTask) # do not call this to avoid resetting photon IDs in VID, if called before inside makePuppiesFromMiniAOD
    for modname in photon_id_modules_WorkingPoints_nanoAOD.modules:
        setupAllVIDIdsInModule(process,modname,setupVIDPhotonSelection)

    photonTask_ = process.egmPhotonIDTask.copy()
    photonTask_.add(photonTask.copy())
    process.photonTask = photonTask_.copy()
    for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_94X2016,run2_nanoAOD_102Xv1:
        modifier.toModify(process.photonMVAValueMapProducer, src = "slimmedPhotonsTo106X")
        modifier.toModify(process.egmPhotonIDs, physicsObjectSrc = "slimmedPhotonsTo106X")
    return process

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

from PhysicsTools.PatUtils.tools.runMETCorrectionsAndUncertainties import runMetCorAndUncFromMiniAOD
def nanoAOD_runMETfixEE2017(process,isData):
    runMetCorAndUncFromMiniAOD(process,isData=isData,
                               fixEE2017 = True,
                               fixEE2017Params = {'userawPt': True, 'ptThreshold':50.0, 'minEtaThreshold':2.65, 'maxEtaThreshold': 3.139},
                               postfix = "FixEE2017")
    process.nanoSequenceCommon.insert(2,process.fullPatMetSequenceFixEE2017)


def nanoAOD_customizeCommon(process):

    process = nanoAOD_activateVID(process)
    nanoAOD_addDeepInfo_switch = cms.PSet(
        nanoAOD_addDeepBTag_switch = cms.untracked.bool(False),
        nanoAOD_addDeepFlavourTag_switch = cms.untracked.bool(False),
        )
    run2_miniAOD_80XLegacy.toModify(nanoAOD_addDeepInfo_switch, nanoAOD_addDeepBTag_switch = cms.untracked.bool(True))
    for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
        modifier.toModify(nanoAOD_addDeepInfo_switch, nanoAOD_addDeepFlavourTag_switch =  cms.untracked.bool(True))
    process = nanoAOD_addDeepInfo(process,
                                  addDeepBTag=nanoAOD_addDeepInfo_switch.nanoAOD_addDeepBTag_switch,
                                  addDeepFlavour=nanoAOD_addDeepInfo_switch.nanoAOD_addDeepFlavourTag_switch)
    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')
        )
    # deepAK8 should not run on 80X, that contains ak8PFJetsCHS jets
    run2_miniAOD_80XLegacy.toModify(nanoAOD_addDeepInfoAK8_switch,
                                    nanoAOD_addDeepBTag_switch = True,
                                    jecPayload = 'AK8PFchs')
    # for 94X and 102X samples: needs to run DeepAK8, DeepDoubleX and ParticleNet
    (run2_nanoAOD_94X2016 | run2_nanoAOD_94XMiniAODv1 | run2_nanoAOD_94XMiniAODv2 | run2_nanoAOD_102Xv1).toModify(
        nanoAOD_addDeepInfoAK8_switch,
        nanoAOD_addDeepBoostedJet_switch = True,
        nanoAOD_addDeepDoubleX_switch = True,
        nanoAOD_addDeepDoubleXV2_switch = True,
        nanoAOD_addParticleNet_switch = True,
        nanoAOD_addParticleNetMass_switch = True,
    )
    # for 106Xv1: only needs to run ParticleNet and DDXV2; DeepAK8, DeepDoubleX are already in MiniAOD
    run2_nanoAOD_106Xv1.toModify(
        nanoAOD_addDeepInfoAK8_switch,
        nanoAOD_addDeepDoubleXV2_switch = True,
        nanoAOD_addParticleNet_switch = True,
        nanoAOD_addParticleNetMass_switch = True,
    )

    run2_nanoAOD_106Xv2.toModify(
         nanoAOD_addDeepInfoAK8_switch,
         nanoAOD_addParticleNetMass_switch = True,
    )

    process = nanoAOD_addDeepInfoAK8(process,
                                     addDeepBTag=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepBTag_switch,
                                     addDeepBoostedJet=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepBoostedJet_switch,
                                     addDeepDoubleX=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepDoubleX_switch,
                                     addDeepDoubleXV2=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addDeepDoubleXV2_switch,
                                     addParticleNet=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addParticleNet_switch,
                                     addParticleNetMass=nanoAOD_addDeepInfoAK8_switch.nanoAOD_addParticleNetMass_switch,
                                     jecPayload=nanoAOD_addDeepInfoAK8_switch.jecPayload)
    nanoAOD_tau_switch = cms.PSet(
        idsToAdd = cms.vstring()
    )
    (run2_nanoAOD_94XMiniAODv1 | run2_nanoAOD_94X2016 | run2_nanoAOD_94XMiniAODv2 | run2_nanoAOD_102Xv1 | run2_nanoAOD_106Xv1).toModify(nanoAOD_tau_switch, idsToAdd = ["deepTau2017v2p1"])
    (run2_nanoAOD_94XMiniAODv1 | run2_nanoAOD_94X2016 | run2_nanoAOD_94XMiniAODv2 | run2_nanoAOD_102Xv1 | run2_nanoAOD_106Xv1).toModify(process, lambda p : nanoAOD_addTauIds(p, nanoAOD_tau_switch.idsToAdd.value()))
    nanoAOD_boostedTau_switch = cms.PSet(
        idsToAdd = cms.vstring()
    )
    run2_nanoAOD_106Xv2.toModify(nanoAOD_boostedTau_switch, idsToAdd = ["2017v2", "dR0p32017v2", "newDM2017v2","againstEle2018"])
    run2_nanoAOD_106Xv2.toModify(process, lambda p : nanoAOD_addBoostedTauIds(p, nanoAOD_boostedTau_switch.idsToAdd.value()))

    return process

def nanoAOD_customizeData(process):
    process = nanoAOD_customizeCommon(process)

    for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94X2016,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_102Xv1,run2_nanoAOD_106Xv1:
        modifier.toModify(process, lambda p: nanoAOD_recalibrateMETs(p,isData=True))
    for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
        modifier.toModify(process, lambda p: nanoAOD_runMETfixEE2017(p,isData=True))
    return process

def nanoAOD_customizeMC(process):
    process = nanoAOD_customizeCommon(process)
    for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94X2016,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_102Xv1,run2_nanoAOD_106Xv1:
        modifier.toModify(process, lambda p: nanoAOD_recalibrateMETs(p,isData=False))
    for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
        modifier.toModify(process, lambda p: nanoAOD_runMETfixEE2017(p,isData=False))
    return process

###increasing the precision of selected GenParticles.
def nanoWmassGenCustomize(process):
    pdgSelection="?(abs(pdgId) == 11|| abs(pdgId)==13 || abs(pdgId)==15 ||abs(pdgId)== 12 || abs(pdgId)== 14 || abs(pdgId)== 16|| abs(pdgId)== 24|| pdgId== 23)"
    # Keep precision same as default RECO for selected particles
    ptPrecision="{}?{}:{}".format(pdgSelection, CandVars.pt.precision.value(),genParticleTable.variables.pt.precision.value())
    process.genParticleTable.variables.pt.precision=cms.string(ptPrecision)
    phiPrecision="{} ? {} : {}".format(pdgSelection, CandVars.phi.precision.value(), genParticleTable.variables.phi.precision.value())
    process.genParticleTable.variables.phi.precision=cms.string(phiPrecision)
    etaPrecision="{} ? {} : {}".format(pdgSelection, CandVars.eta.precision.value(), genParticleTable.variables.eta.precision.value())
    process.genParticleTable.variables.eta.precision=cms.string(etaPrecision)
    return process