mvaPFMET_cff.py

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import FWCore.ParameterSet.Config as cms
 
#from RecoMET.METProducers.PFMET_cfi import pfMet
from JetMETCorrections.Configuration.JetCorrectors_cff import *
 
 
calibratedAK4PFJetsForPFMVAMEt = cms.EDProducer('CorrectedPFJetProducer',
    src = cms.InputTag('ak4PFJets'),
    correctors = cms.VInputTag("ak4PFL1FastL2L3Corrector") # NOTE: use "ak4PFL1FastL2L3Corrector" for MC / "ak4PFL1FastL2L3ResidualCorrector" for Data
)
from JetMETCorrections.Configuration.JetCorrectionServices_cff import ak4PFL1Fastjet
from RecoJets.JetProducers.PileupJetID_cfi import pileupJetIdEvaluator as _pileupJetIdEvaluator
from RecoJets.JetProducers.PileupJetIDParams_cfi import JetIdParams
puJetIdForPFMVAMEt = _pileupJetIdEvaluator.clone(
    algos = cms.VPSet(
        cms.PSet(
        tmvaVariables = cms.vstring(
            "nvtx",
            "jetPt",
            "jetEta",
            "jetPhi",
            "dZ",
            "beta",
            "betaStar",
            "nCharged",
            "nNeutrals",
            "dR2Mean",
            "ptD",
            "frac01",
            "frac02",
            "frac03",
            "frac04",
            "frac05"
            ),
        etaBinnedWeights = cms.bool(False),
        tmvaWeights = cms.string("RecoJets/JetProducers/data/TMVAClassificationCategory_JetID_MET_53X_Dec2012.weights.xml.gz"),
        tmvaMethod = cms.string("JetID"),
        tmvaSpectators = cms.vstring(),
        JetIdParams = JetIdParams,                  
        impactParTkThreshold = cms.double(0.),
        version = cms.int32(-1),
        cutBased = cms.bool(False), 
        label = cms.string("full")
        )
        ),
    produceJetIds    = True,
    runMvas          = True,
    jets             = "calibratedAK4PFJetsForPFMVAMEt",#calibratedAK4PFJetsForPFMVAMEt
    applyJec         = True,
    inputIsCorrected = True,
    jec              = "AK4PF",
)
 
 
 
 
pfMVAMEt = cms.EDProducer("PFMETProducerMVA",
    srcCorrJets = cms.InputTag('calibratedAK4PFJetsForPFMVAMEt'),
    srcUncorrJets = cms.InputTag('ak4PFJets'),
    srcMVAPileupJetId = cms.InputTag('puJetIdForPFMVAMEt','fullDiscriminant'),
    srcPFCandidates = cms.InputTag('particleFlow'),
    srcVertices = cms.InputTag('offlinePrimaryVertices'),
    srcLeptons = cms.VInputTag(),#"isomuons","isoelectrons","isotaus") # NOTE: you need to set this to collections of electrons, muons and tau-jets
                                 #                                             passing the lepton reconstruction & identification criteria applied in your analysis
    minNumLeptons = cms.int32(0),                     
    globalThreshold = cms.double(-1.),#pfMet.globalThreshold,
    minCorrJetPt = cms.double(-1.),
    inputFileNames = cms.PSet(
        U     = cms.FileInPath('RecoMET/METPUSubtraction/data/gbru_7_4_X_miniAOD_25NS_July2015.root'),
        DPhi  = cms.FileInPath('RecoMET/METPUSubtraction/data/gbrphi_7_4_X_miniAOD_25NS_July2015.root'),
        CovU1 = cms.FileInPath('RecoMET/METPUSubtraction/data/gbru1cov_7_4_X_miniAOD_25NS_July2015.root'),
        CovU2 = cms.FileInPath('RecoMET/METPUSubtraction/data/gbru2cov_7_4_X_miniAOD_25NS_July2015.root') ),
    inputRecords = cms.PSet(
        U     = cms.string("RecoilCor"),
        DPhi  = cms.string("PhiCor"), 
        CovU1 = cms.string("CovU1"),
        CovU2 = cms.string("CovU2")
    ),
    loadMVAfromDB = cms.bool(False),                             
 
    corrector = cms.InputTag("ak4PFL1FastjetCorrector"),
    useType1  = cms.bool(True), 
    dZcut     = cms.double(0.1),
       
    verbosity = cms.int32(0)
)
 
pfMVAMEtTask  = cms.Task(
    #(isomuonseq+isotauseq+isoelectronseq)*
    jetCorrectorsTask,
    calibratedAK4PFJetsForPFMVAMEt,
    puJetIdForPFMVAMEt,
    pfMVAMEt
)
pfMVAMEtSequence  = cms.Sequence(pfMVAMEtTask)