TtSemiLepHypGenMatch_cfi.py

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import FWCore.ParameterSet.Config as cms

#
# module to make the genMatch hypothesis
#
ttSemiLepHypGenMatch = cms.EDProducer("TtSemiLepHypGenMatch",
    ## met input
    mets  = cms.InputTag("patMETs"),
    ## jet input
    jets  = cms.InputTag("selectedPatJets"),
    ## lepton input
    leps  = cms.InputTag("selectedPatMuons"),
    ## matched jet combination
    match = cms.InputTag("ttSemiLepJetPartonMatch"),
    ## number of considered jets
    nJetsConsidered = cms.InputTag("ttSemiLepJetPartonMatch","NumberOfConsideredJets"),    
    ## specify jet correction level as, Uncorrected, L1Offset, L2Relative, L3Absolute,
    ## L4Emf, L5Hadron, L6UE, L7Parton, a flavor specification will be added automatically,
    ## when chosen   
    jetCorrectionLevel = cms.string("L3Absolute"),
    ## different ways to calculate a neutrino pz:
    ## -1 : take MET as neutrino directly, i.e. pz = 0
    ## or use mW = 80.4 GeV to solve the quadratic equation for the neutrino pz;
    ## if two real solutions...
    ##  0 : take the one closer to the lepton pz if neutrino pz < 300 GeV,
    ##      otherwise the more central one
    ##  1 : always take the one closer to the lepton pz
    ##  2 : always take the more central one, i.e. minimize neutrino pz
    ##  3 : maximize the cosine of the angle between lepton and reconstructed W
    ## in all these cases (0, 1, 2, 3), only the real part is used if solutions are complex
    neutrinoSolutionType = cms.int32(-1)
)