PFRecoTauDiscriminationByIsolation_cfi.py

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import FWCore.ParameterSet.Config as cms
 
from RecoTauTag.RecoTau.PFRecoTauQualityCuts_cfi import PFTauQualityCuts
from RecoTauTag.RecoTau.TauDiscriminatorTools import requireLeadTrack
from RecoTauTag.RecoTau.pfRecoTauDiscriminationByIsolationContainer_cfi import pfRecoTauDiscriminationByIsolationContainer
 
pfRecoTauDiscriminationByIsolation = pfRecoTauDiscriminationByIsolationContainer.clone(
    # Require leading pion ensures that:
    # 1) these is at least one track above threshold (0.5 GeV) in the signal cone
    # 2) a track in the signal cone has pT > 5 GeV
    Prediscriminants = requireLeadTrack,
 
    # Select which collections to use for isolation. You can select one or both
    WeightECALIsolation = cms.double(1.), # apply a flat, overall weight to ECAL isolation. Useful to combine charged and neutral isolations with different relative weights. Default 1. 
 
    minTauPtForNoIso = cms.double(-99.), # minimum tau pt at which the isolation is completely relaxed. If negative, this is disabled
 
    qualityCuts = PFTauQualityCuts, # set the standard quality cuts
 
    # Delta-Beta corrections to remove Pileup
    particleFlowSrc = cms.InputTag("particleFlow"),
    vertexSrc = PFTauQualityCuts.primaryVertexSrc,
    # This must correspond to the cone size of the algorithm which built the
    # tau. (or if customOuterCone option is used, the custom cone size)
    customOuterCone = cms.double(-1.), # propagated this default from .cc, it probably corresponds to not using customOuterCone
    isoConeSizeForDeltaBeta = cms.double(0.5),
    # The delta beta factor maps the expected neutral contribution in the
    # isolation cone from the observed PU charged contribution.  This factor can
    # optionally be a function (use 'x') of the number of vertices in the event
    # (taken from the multiplicity of vertexSrc collection)
    deltaBetaFactor = cms.string("0.38"),
    # By default, the pt threshold for tracks used to compute the DeltaBeta
    # correction is taken as the gamma Et threshold from the isolation quality
    # cuts.
    deltaBetaPUTrackPtCutOverride     = cms.bool(False),  # Set the boolean = True to override.
    deltaBetaPUTrackPtCutOverride_val = cms.double(-1.5), # Set the value for new value.
 
    # Tau footprint correction
    applyFootprintCorrection = cms.bool(False),
    footprintCorrections = cms.VPSet(
        cms.PSet(
            selection = cms.string("decayMode() = 0"),
            offset = cms.string("0.0")
        ),
        cms.PSet(
            selection = cms.string("decayMode() = 1 || decayMode() = 2"),
            offset = cms.string("0.0")
        ),
        cms.PSet(
            selection = cms.string("decayMode() = 5"),
            offset = cms.string("2.7")
        ),
        cms.PSet(
            selection = cms.string("decayMode() = 6"),
            offset = cms.string("0.0")
        ),
        cms.PSet(
            selection = cms.string("decayMode() = 10"),
            offset = cms.string("max(2.0, 0.22*pt() - 2.0)")
        )        
    ),                                                        
 
    # Rho corrections
    applyRhoCorrection = cms.bool(False),
    rhoProducer = cms.InputTag("fixedGridRhoFastjetAll"),
    rhoConeSize = cms.double(0.5),
    rhoUEOffsetCorrection = cms.double(1.0),
 
    verbosity = cms.int32(0),
)