deepFlavour_cff.py

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import FWCore.ParameterSet.Config as cms
from RecoBTag.Combined.pfDeepCSVTagInfos_cfi import pfDeepCSVTagInfos
from RecoBTag.Combined.pfDeepCMVATagInfos_cfi import pfDeepCMVATagInfos
from RecoBTag.Combined.pfDeepCSVJetTags_cfi import pfDeepCSVJetTags 
from RecoBTag.Combined.pfDeepCSVDiscriminatorsJetTags_cfi import pfDeepCSVDiscriminatorsJetTags
from RecoBTag.Combined.pfDeepCMVAJetTags_cfi import pfDeepCMVAJetTags
from RecoBTag.Combined.pfDeepCMVADiscriminatorsJetTags_cfi import pfDeepCMVADiscriminatorsJetTags



pfDeepCSVNegativeTagInfos = pfDeepCSVTagInfos.clone(
    svTagInfos='pfInclusiveSecondaryVertexFinderNegativeTagInfos',
    computer = dict(
        vertexFlip = True,
        trackFlip = True,
        trackSelection = dict( 
            sip3dSigMax = 10.0
            ),
        trackPseudoSelection = dict(
            sip3dSigMax = 10.0,
            sip2dSigMin = -99999.9,
            sip2dSigMax = -2.0
            )
        )
    )

pfNegativeDeepCSVJetTags = pfDeepCSVJetTags.clone(
    src='pfDeepCSVNegativeTagInfos'
    )

pfDeepCSVPositiveTagInfos = pfDeepCSVTagInfos.clone(
    computer = dict(
        trackSelection = dict( 
            sip3dSigMin = 0
            ),
        trackPseudoSelection = dict(
            sip3dSigMin = 0
            )
        )

    )

pfPositiveDeepCSVJetTags = pfDeepCSVJetTags.clone(
    src='pfDeepCSVPositiveTagInfos'
    )

# Deep CMVA
pfDeepCMVANegativeTagInfos = pfDeepCMVATagInfos.clone(
    deepNNTagInfos = 'pfDeepCSVNegativeTagInfos'
    )
    
pfNegativeDeepCMVAJetTags = pfDeepCMVAJetTags.clone(
    src='pfDeepCMVANegativeTagInfos'
    )

pfDeepCMVAPositiveTagInfos = pfDeepCMVATagInfos.clone(
    deepNNTagInfos = 'pfDeepCSVPositiveTagInfos'
    )
pfPositiveDeepCMVAJetTags = pfDeepCMVAJetTags.clone(
    src='pfDeepCMVAPositiveTagInfos'
    )




pfDeepCSVTask = cms.Task(
    pfDeepCSVTagInfos,
    pfDeepCMVATagInfos, #SKIP for the moment
    pfDeepCSVJetTags,
    pfDeepCMVAJetTags
)

pfDeepCSV = cms.Sequence(pfDeepCSVTask)