photons_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 *

from math import ceil,log


photon_id_modules_WorkingPoints_nanoAOD = cms.PSet(
    modules = cms.vstring(
        'RecoEgamma.PhotonIdentification.Identification.cutBasedPhotonID_Fall17_94X_V1_TrueVtx_cff',
        'RecoEgamma.PhotonIdentification.Identification.cutBasedPhotonID_Fall17_94X_V2_cff',
        'RecoEgamma.PhotonIdentification.Identification.mvaPhotonID_Fall17_94X_V1p1_cff',
        'RecoEgamma.PhotonIdentification.Identification.mvaPhotonID_Fall17_94X_V2_cff',
        'RecoEgamma.PhotonIdentification.Identification.cutBasedPhotonID_Spring16_V2p2_cff',
        'RecoEgamma.PhotonIdentification.Identification.mvaPhotonID_Spring16_nonTrig_V1_cff',
   ),
   WorkingPoints = cms.vstring(
    "egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V2-loose",
    "egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V2-medium",
    "egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V2-tight",
   )
)
photon_id_modules_WorkingPoints_nanoAOD_Spring16V2p2 = cms.PSet(
    modules = photon_id_modules_WorkingPoints_nanoAOD.modules,
   WorkingPoints = cms.vstring(
    "egmPhotonIDs:cutBasedPhotonID-Spring16-V2p2-loose",
    "egmPhotonIDs:cutBasedPhotonID-Spring16-V2p2-medium",
    "egmPhotonIDs:cutBasedPhotonID-Spring16-V2p2-tight",
   )
)

def make_bitmapVID_docstring(id_modules_working_points_pset):
    pset = id_modules_working_points_pset

    for modname in pset.modules:
        ids = __import__(modname, globals(), locals(), ['idName','cutFlow'])
        for name in dir(ids):
            _id = getattr(ids,name)
            if hasattr(_id,'idName') and hasattr(_id,'cutFlow'):
                if (len(pset.WorkingPoints)>0 and _id.idName == pset.WorkingPoints[0].split(':')[-1]):
                    cut_names = ','.join([cut.cutName.value() for cut in _id.cutFlow])
                    n_bits_per_cut = int(ceil(log(len(pset.WorkingPoints)+1,2)))
                    return 'VID compressed bitmap (%s), %d bits per cut'%(cut_names, n_bits_per_cut)
    raise ValueError("Something is wrong in the photon ID modules parameter set!")

bitmapVIDForPho = cms.EDProducer("PhoVIDNestedWPBitmapProducer",
    src = cms.InputTag("slimmedPhotons"),
    srcForID = cms.InputTag("reducedEgamma","reducedGedPhotons"),
    WorkingPoints = photon_id_modules_WorkingPoints_nanoAOD.WorkingPoints,
)

bitmapVIDForPhoSpring16V2p2 = cms.EDProducer("PhoVIDNestedWPBitmapProducer",
    src = cms.InputTag("slimmedPhotons"),
    WorkingPoints = photon_id_modules_WorkingPoints_nanoAOD_Spring16V2p2.WorkingPoints,
)

isoForPho = cms.EDProducer("PhoIsoValueMapProducer",
    src = cms.InputTag("slimmedPhotons"),
    relative = cms.bool(False),
    rho_PFIso = cms.InputTag("fixedGridRhoFastjetAll"),
    mapIsoChg = cms.InputTag("photonIDValueMapProducer:phoChargedIsolation"),
    mapIsoNeu = cms.InputTag("photonIDValueMapProducer:phoNeutralHadronIsolation"),
    mapIsoPho = cms.InputTag("photonIDValueMapProducer:phoPhotonIsolation"),
    EAFile_PFIso_Chg = cms.FileInPath("RecoEgamma/PhotonIdentification/data/Fall17/effAreaPhotons_cone03_pfChargedHadrons_90percentBased_V2.txt"),
    EAFile_PFIso_Neu = cms.FileInPath("RecoEgamma/PhotonIdentification/data/Fall17/effAreaPhotons_cone03_pfNeutralHadrons_90percentBased_V2.txt"),
    EAFile_PFIso_Pho = cms.FileInPath("RecoEgamma/PhotonIdentification/data/Fall17/effAreaPhotons_cone03_pfPhotons_90percentBased_V2.txt"),
)
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
    modifier.toModify(isoForPho,
        EAFile_PFIso_Chg = cms.FileInPath("RecoEgamma/PhotonIdentification/data/Spring16/effAreaPhotons_cone03_pfChargedHadrons_90percentBased.txt"),
        EAFile_PFIso_Neu = cms.FileInPath("RecoEgamma/PhotonIdentification/data/Spring16/effAreaPhotons_cone03_pfNeutralHadrons_90percentBased.txt"),
        EAFile_PFIso_Pho = cms.FileInPath("RecoEgamma/PhotonIdentification/data/Spring16/effAreaPhotons_cone03_pfPhotons_90percentBased.txt"),
    )

seedGainPho = cms.EDProducer("PhotonSeedGainProducer", src = cms.InputTag("slimmedPhotons"))

import RecoEgamma.EgammaTools.calibratedEgammas_cff

calibratedPatPhotonsNano = RecoEgamma.EgammaTools.calibratedEgammas_cff.calibratedPatPhotons.clone(
    produceCalibratedObjs = False,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2016_UltraLegacy_preVFP_RunFineEtaR9Gain"),
)

(run2_egamma_2016 & tracker_apv_vfp30_2016).toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2016_UltraLegacy_preVFP_RunFineEtaR9Gain")
)

(run2_egamma_2016 & ~tracker_apv_vfp30_2016).toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2016_UltraLegacy_postVFP_RunFineEtaR9Gain"),
)

run2_egamma_2017.toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2017_24Feb2020_runEtaR9Gain_v2")
)

run2_egamma_2018.toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2018_29Sep2020_RunFineEtaR9Gain")
)

run2_nanoAOD_102Xv1.toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2018_Step2Closure_CoarseEtaR9Gain_v2")
)

run2_nanoAOD_94XMiniAODv1.toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2017_17Nov2017_v1_ele_unc")
)

run2_nanoAOD_94XMiniAODv2.toModify(calibratedPatPhotonsNano,
    correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Run2017_17Nov2017_v1_ele_unc")
)


run2_miniAOD_80XLegacy.toModify(calibratedPatPhotonsNano,
                                correctionFile = cms.string("EgammaAnalysis/ElectronTools/data/ScalesSmearings/Legacy2016_07Aug2017_FineEtaR9_v3_ele_unc")
)


slimmedPhotonsWithUserData = cms.EDProducer("PATPhotonUserDataEmbedder",
    src = cms.InputTag("slimmedPhotons"),
    parentSrcs = cms.VInputTag("reducedEgamma:reducedGedPhotons"),
    userFloats = cms.PSet(
        mvaID = cms.InputTag("photonMVAValueMapProducer:PhotonMVAEstimatorRunIIFall17v2Values"),
        PFIsoChg = cms.InputTag("isoForPho:PFIsoChg"),
        PFIsoAll = cms.InputTag("isoForPho:PFIsoAll"),
    ),
    userIntFromBools = cms.PSet(
        cutbasedID_loose = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V2-loose"),
        cutbasedID_medium = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V2-medium"),
        cutbasedID_tight = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V2-tight"),
        mvaID_WP90 = cms.InputTag("egmPhotonIDs:mvaPhoID-RunIIFall17-v2-wp90"),
        mvaID_WP80 = cms.InputTag("egmPhotonIDs:mvaPhoID-RunIIFall17-v2-wp80"),
        cutbasedIDV1_loose = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V1-loose"),
        cutbasedIDV1_medium = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V1-medium"),
        cutbasedIDV1_tight = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Fall17-94X-V1-tight"),
    ),
    userInts = cms.PSet(
        VIDNestedWPBitmap = cms.InputTag("bitmapVIDForPho"),
        seedGain = cms.InputTag("seedGainPho"),
    )
)


for modifier in run2_egamma_2016, run2_egamma_2017, run2_egamma_2018:
    modifier.toModify(slimmedPhotonsWithUserData.userFloats,
                      ecalEnergyErrPostCorrNew = cms.InputTag("calibratedPatPhotonsNano","ecalEnergyErrPostCorr"),
                      ecalEnergyPreCorrNew     = cms.InputTag("calibratedPatPhotonsNano","ecalEnergyPreCorr"),
                      ecalEnergyPostCorrNew    = cms.InputTag("calibratedPatPhotonsNano","ecalEnergyPostCorr"),
                      energyScaleUpNew            = cms.InputTag("calibratedPatPhotonsNano","energyScaleUp"),
                      energyScaleDownNew          = cms.InputTag("calibratedPatPhotonsNano","energyScaleDown"),
                      energySigmaUpNew            = cms.InputTag("calibratedPatPhotonsNano","energySigmaUp"),
                      energySigmaDownNew          = cms.InputTag("calibratedPatPhotonsNano","energySigmaDown"),
                  )


run2_nanoAOD_94X2016.toModify(slimmedPhotonsWithUserData.userFloats,
                      ecalEnergyErrPostCorrNew = None,
                      ecalEnergyPreCorrNew     = None,
                      ecalEnergyPostCorrNew    = None,
                      energyScaleUpNew            = None,
                      energyScaleDownNew          = None,
                      energySigmaUpNew            = None,
                      energySigmaDownNew          = None
                  )


finalPhotons = cms.EDFilter("PATPhotonRefSelector",
    src = cms.InputTag("slimmedPhotonsWithUserData"),
    cut = cms.string("pt > 5 ")
)

photonTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
    src = cms.InputTag("linkedObjects","photons"),
    cut = cms.string(""), #we should not filter on cross linked collections
    name= cms.string("Photon"),
    doc = cms.string("slimmedPhotons after basic selection (" + finalPhotons.cut.value()+")"),
    singleton = cms.bool(False), # the number of entries is variable
    extension = cms.bool(False), # this is the main table for the photons
    variables = cms.PSet(P3Vars,
        jetIdx = Var("?hasUserCand('jet')?userCand('jet').key():-1", int, doc="index of the associated jet (-1 if none)"),
        electronIdx = Var("?hasUserCand('electron')?userCand('electron').key():-1", int, doc="index of the associated electron (-1 if none)"),
        energyErr = Var("getCorrectedEnergyError('regression2')",float,doc="energy error of the cluster from regression",precision=6),
        energyRaw = Var("superCluster().rawEnergy()",float,doc="raw energy of photon supercluster", precision=10),
        r9 = Var("full5x5_r9()",float,doc="R9 of the supercluster, calculated with full 5x5 region",precision=8),
        sieie = Var("full5x5_sigmaIetaIeta()",float,doc="sigma_IetaIeta of the supercluster, calculated with full 5x5 region",precision=8),
        sipip = Var("showerShapeVariables().sigmaIphiIphi", float, doc="sigmaIphiIphi of the supercluster", precision=8),
        sieip = Var("full5x5_showerShapeVariables().sigmaIetaIphi",float,doc="sigma_IetaIphi of the supercluster, calculated with full 5x5 region",precision=8),
        s4 = Var("full5x5_showerShapeVariables().e2x2/full5x5_showerShapeVariables().e5x5",float,doc="e2x2/e5x5 of the supercluster, calculated with full 5x5 region",precision=8),
        etaWidth = Var("superCluster().etaWidth()",float,doc="Width of the photon supercluster in eta", precision=8),
        phiWidth = Var("superCluster().phiWidth()",float,doc="Width of the photon supercluster in phi", precision=8),
        cutBased = Var(
            "userInt('cutbasedID_loose')+userInt('cutbasedID_medium')+userInt('cutbasedID_tight')",
            int,
            doc="cut-based ID bitmap, Fall17V2, (0:fail, 1:loose, 2:medium, 3:tight)",
        ),
        cutBased_Fall17V1Bitmap = Var(
            "userInt('cutbasedIDV1_loose')+2*userInt('cutbasedIDV1_medium')+4*userInt('cutbasedIDV1_tight')",
            int,
            doc="cut-based ID bitmap, Fall17V1, 2^(0:loose, 1:medium, 2:tight).",
        ),
        vidNestedWPBitmap = Var(
            "userInt('VIDNestedWPBitmap')",
            int,
            doc="Fall17V2 " + make_bitmapVID_docstring(photon_id_modules_WorkingPoints_nanoAOD),
        ),
        electronVeto = Var("passElectronVeto()",bool,doc="pass electron veto"),
        pixelSeed = Var("hasPixelSeed()",bool,doc="has pixel seed"),
        mvaID = Var("userFloat('mvaID')",float,doc="MVA ID score, Fall17V2",precision=10),
        mvaID_WP90 = Var("userInt('mvaID_WP90')",bool,doc="MVA ID WP90, Fall17V2"),
        mvaID_WP80 = Var("userInt('mvaID_WP80')",bool,doc="MVA ID WP80, Fall17V2"),
        pfPhoIso03 = Var("photonIso()",float,doc="PF absolute isolation dR=0.3, photon component (uncorrected)"),
        pfChargedIsoPFPV = Var("chargedHadronPFPVIso()",float,doc="PF absolute isolation dR=0.3, charged component (PF PV only)"),
        pfChargedIsoWorstVtx = Var("chargedHadronWorstVtxIso()",float,doc="PF absolute isolation dR=0.3, charged component (Vertex with largest isolation)"),
        pfRelIso03_chg = Var("userFloat('PFIsoChg')/pt",float,doc="PF relative isolation dR=0.3, charged component (with rho*EA PU corrections)"),
        pfRelIso03_all = Var("userFloat('PFIsoAll')/pt",float,doc="PF relative isolation dR=0.3, total (with rho*EA PU corrections)"),
        hoe = Var("hadronicOverEm()",float,doc="H over E",precision=8),
        isScEtaEB = Var("abs(superCluster().eta()) < 1.4442",bool,doc="is supercluster eta within barrel acceptance"),
        isScEtaEE = Var("abs(superCluster().eta()) > 1.566 && abs(superCluster().eta()) < 2.5",bool,doc="is supercluster eta within endcap acceptance"),
        seedGain = Var("userInt('seedGain')","uint8",doc="Gain of the seed crystal"),
        # position of photon is best approximated by position of seed cluster, not the SC centroid
        x_calo = Var("superCluster().seed().position().x()",float,doc="photon supercluster position on calorimeter, x coordinate (cm)",precision=10),
        y_calo = Var("superCluster().seed().position().y()",float,doc="photon supercluster position on calorimeter, y coordinate (cm)",precision=10),
        z_calo = Var("superCluster().seed().position().z()",float,doc="photon supercluster position on calorimeter, z coordinate (cm)",precision=10),
        # ES variables
        esEffSigmaRR = Var("full5x5_showerShapeVariables().effSigmaRR()", float, doc="preshower sigmaRR"),
        esEnergyOverRawE = Var("superCluster().preshowerEnergy()/superCluster().rawEnergy()", float, doc="ratio of preshower energy to raw supercluster energy"),
         haloTaggerMVAVal = Var("haloTaggerMVAVal()",float,doc="Value of MVA based BDT based  beam halo tagger in the Ecal endcap (valid for pT > 200 GeV)",precision=8),
    )
)


#these eras need to make the energy correction, hence the "New"
for modifier in run2_egamma_2016, run2_egamma_2017, run2_egamma_2018 :
    modifier.toModify(photonTable.variables,
        pt = Var("pt*userFloat('ecalEnergyPostCorrNew')/userFloat('ecalEnergyPreCorrNew')", float, precision=-1, doc="p_{T}"),
        energyErr = Var("userFloat('ecalEnergyErrPostCorrNew')",float,doc="energy error of the cluster from regression",precision=6),
        eCorr = Var("userFloat('ecalEnergyPostCorrNew')/userFloat('ecalEnergyPreCorrNew')",float,doc="ratio of the calibrated energy/miniaod energy"),
        hoe = Var("hadTowOverEm()",float,doc="H over E (Run2)",precision=8),
    )

#these eras have the energy correction in the mini
for modifier in run2_nanoAOD_94X2016,:
    modifier.toModify(photonTable.variables,
        pt = Var("pt*userFloat('ecalEnergyPostCorr')/userFloat('ecalEnergyPreCorr')", float, precision=-1, doc="p_{T}"),
        energyErr = Var("userFloat('ecalEnergyErrPostCorr')",float,doc="energy error of the cluster from regression",precision=6),
        eCorr = Var("userFloat('ecalEnergyPostCorr')/userFloat('ecalEnergyPreCorr')",float,doc="ratio of the calibrated energy/miniaod energy"),
                      
    )

for modifier in run2_nanoAOD_94X2016, run2_miniAOD_80XLegacy:
    modifier.toModify(slimmedPhotonsWithUserData.userFloats,
        mvaID_Spring16nonTrigV1 = cms.InputTag("photonMVAValueMapProducer:PhotonMVAEstimatorRun2Spring16NonTrigV1Values"),
                  )
    modifier.toModify(slimmedPhotonsWithUserData.userIntFromBools,
        cutID_Spring16_loose = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Spring16-V2p2-loose"),
        cutID_Spring16_medium = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Spring16-V2p2-medium"),
        cutID_Spring16_tight = cms.InputTag("egmPhotonIDs:cutBasedPhotonID-Spring16-V2p2-tight"),
        mvaID_Spring16nonTrigV1_WP90 = cms.InputTag("egmPhotonIDs:mvaPhoID-Spring16-nonTrig-V1-wp90"),
        mvaID_Spring16nonTrigV1_WP80 = cms.InputTag("egmPhotonIDs:mvaPhoID-Spring16-nonTrig-V1-wp80"),

    )
    modifier.toModify(slimmedPhotonsWithUserData.userInts,
        VIDNestedWPBitmap_Spring16V2p2 = cms.InputTag("bitmapVIDForPhoSpring16V2p2"),
    )

for modifier in run2_nanoAOD_94X2016, run2_miniAOD_80XLegacy:
   modifier.toModify(photonTable.variables,
        cutBased_Spring16V2p2 = Var(
            "userInt('cutID_Spring16_loose')+userInt('cutID_Spring16_medium')+userInt('cutID_Spring16_tight')",
            int,
            doc="cut-based ID bitmap, Spring16V2p2, (0:fail, 1:loose, 2:medium, 3:tight)"
        ),
        vidNestedWPBitmap_Spring16V2p2 = Var(
            "userInt('VIDNestedWPBitmap_Spring16V2p2')",
            int,
            doc="Spring16V2p2 " + make_bitmapVID_docstring(photon_id_modules_WorkingPoints_nanoAOD_Spring16V2p2)
        ),
        mvaID_Spring16nonTrigV1 = Var(
            "userFloat('mvaID_Spring16nonTrigV1')",
            float,
            doc="MVA ID score, Spring16nonTrigV1",
            precision=10
        ),
    )

photonsMCMatchForTable = cms.EDProducer("MCMatcher",  # cut on deltaR, deltaPt/Pt; pick best by deltaR
    src         = photonTable.src,                 # final reco collection
    matched     = cms.InputTag("finalGenParticles"), # final mc-truth particle collection
    mcPdgId     = cms.vint32(11,22),                 # one or more PDG ID (11 = el, 22 = pho); absolute values (see below)
    checkCharge = cms.bool(False),              # True = require RECO and MC objects to have the same charge
    mcStatus    = cms.vint32(1),                # PYTHIA status code (1 = stable, 2 = shower, 3 = hard scattering)
    maxDeltaR   = cms.double(0.3),              # Minimum deltaR for the match
    maxDPtRel   = cms.double(0.5),              # Minimum deltaPt/Pt for the match
    resolveAmbiguities    = cms.bool(True),     # Forbid two RECO objects to match to the same GEN object
    resolveByMatchQuality = cms.bool(True),    # False = just match input in order; True = pick lowest deltaR pair first
)

photonMCTable = cms.EDProducer("CandMCMatchTableProducer",
    src     = photonTable.src,
    mcMap   = cms.InputTag("photonsMCMatchForTable"),
    objName = photonTable.name,
    objType = photonTable.name, #cms.string("Photon"),
    branchName = cms.string("genPart"),
    docString = cms.string("MC matching to status==1 photons or electrons"),
)

from RecoEgamma.EgammaTools.egammaObjectModificationsInMiniAOD_cff import egamma8XObjectUpdateModifier,egamma9X105XUpdateModifier,prependEgamma8XObjectUpdateModifier
#we have dataformat changes to 106X so to read older releases we use egamma updators
slimmedPhotonsTo106X = cms.EDProducer("ModifiedPhotonProducer",
    src = cms.InputTag("slimmedPhotons"),
    modifierConfig = cms.PSet( modifications = cms.VPSet(egamma9X105XUpdateModifier) )
)
#might as well fix 80X while we're at it although the differences are not so relavent for nano
run2_miniAOD_80XLegacy.toModify( slimmedPhotonsTo106X.modifierConfig.modifications, prependEgamma8XObjectUpdateModifier )

for modifier in run2_miniAOD_80XLegacy,run2_nanoAOD_94XMiniAODv1,run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_94X2016 ,run2_nanoAOD_102Xv1:
    modifier.toModify(bitmapVIDForPho, src = "slimmedPhotonsTo106X")
    modifier.toModify(bitmapVIDForPhoSpring16V2p2, src = "slimmedPhotonsTo106X")
    modifier.toModify(isoForPho, src = "slimmedPhotonsTo106X")
    modifier.toModify(calibratedPatPhotonsNano, src = "slimmedPhotonsTo106X")
    modifier.toModify(slimmedPhotonsWithUserData, src = "slimmedPhotonsTo106X")
    modifier.toModify(seedGainPho, src = "slimmedPhotonsTo106X")



for modifier in run2_egamma_2016, run2_egamma_2017, run2_egamma_2018:
    modifier.toModify(photonTable.variables,
                      dEscaleUp=Var("userFloat('ecalEnergyPostCorrNew') - userFloat('energyScaleUpNew')", float, doc="ecal energy scale shifted 1 sigma up (adding gain/stat/syst in quadrature)", precision=8),
                      dEscaleDown=Var("userFloat('ecalEnergyPostCorrNew') - userFloat('energyScaleDownNew')", float, doc="ecal energy scale shifted 1 sigma down (adding gain/stat/syst in quadrature)", precision=8),
                      dEsigmaUp=Var("userFloat('ecalEnergyPostCorrNew') - userFloat('energySigmaUpNew')", float, doc="ecal energy smearing value shifted 1 sigma up", precision=8),
                      dEsigmaDown=Var("userFloat('ecalEnergyPostCorrNew') - userFloat('energySigmaDownNew')", float, doc="ecal energy smearing value shifted 1 sigma up", precision=8),
    )

for modifier in run2_nanoAOD_94X2016,:
    modifier.toModify(photonTable.variables,
                      dEscaleUp=Var("userFloat('ecalEnergyPostCorr') - userFloat('energyScaleUp')", float,  doc="ecal energy scale shifted 1 sigma up (adding gain/stat/syst in quadrature)", precision=8),
                      dEscaleDown=Var("userFloat('ecalEnergyPostCorr') - userFloat('energyScaleDown')", float,  doc="ecal energy scale shifted 1 sigma down (adding gain/stat/syst in quadrature)", precision=8),
                      dEsigmaUp=Var("userFloat('ecalEnergyPostCorr') - userFloat('energySigmaUp')", float, doc="ecal energy smearing value shifted 1 sigma up", precision=8),
                      dEsigmaDown=Var("userFloat('ecalEnergyPostCorr') - userFloat('energySigmaDown')", float,  doc="ecal energy smearing value shifted 1 sigma up", precision=8),
    )

photonTask = cms.Task(bitmapVIDForPho, isoForPho, seedGainPho, calibratedPatPhotonsNano, slimmedPhotonsWithUserData, finalPhotons)
photonTablesTask = cms.Task(photonTable)
photonMCTask = cms.Task(photonsMCMatchForTable, photonMCTable)



from RecoEgamma.EgammaIsolationAlgos.egmPhotonIsolationMiniAOD_cff import egmPhotonIsolation
from RecoEgamma.PhotonIdentification.photonIDValueMapProducer_cff import photonIDValueMapProducer

_withUpdatePho_Task = cms.Task(egmPhotonIsolation,photonIDValueMapProducer,slimmedPhotonsTo106X)
_withUpdatePho_Task.add(photonTask.copy())

for modifier in run2_nanoAOD_94XMiniAODv2,run2_nanoAOD_94X2016 ,run2_nanoAOD_102Xv1,run2_nanoAOD_94XMiniAODv1:
    modifier.toReplaceWith(photonTask, _withUpdatePho_Task)

for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
    _withSpring16V2p2_Task = cms.Task(bitmapVIDForPhoSpring16V2p2)
    _withSpring16V2p2_Task.add(_withUpdatePho_Task.copy())
    modifier.toReplaceWith(photonTask, _withSpring16V2p2_Task)