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00001 import FWCore.ParameterSet.Config as cms
00002 
00003 #
00004 # module to perform MVA training for jet-parton association
00005 #
00006 trainTtSemiLepJetCombMVA = cms.EDAnalyzer("TtSemiLepJetCombMVATrainer",
00007     #-------------------------------------------------
00008     # sources (leptons, jets, MET, jet-parton matching)
00009     #-------------------------------------------------
00010     leps     = cms.InputTag("selectedPatMuons"),
00011     jets     = cms.InputTag("selectedPatJets"),
00012     mets     = cms.InputTag("patMETs"),
00013     matching = cms.InputTag("ttSemiLepJetPartonMatch"),                                       
00014 
00015     # ------------------------------------------------
00016     # select semileptonic signal channel
00017     # (all others are taken as background for training)
00018     # either "kElec", "kMuon" or "kTau"
00019     # ------------------------------------------------
00020     leptonType = cms.string("kMuon"),
00021 
00022     # ------------------------------------------------
00023     # maximum number of jets to be considered
00024     # (has to be >= 4, can be set to -1 if you
00025     # want to take all)
00026     # ------------------------------------------------
00027     maxNJets = cms.int32(4)
00028 )
00029 
00030

/data/refman/pasoursint/CMSSW_5_3_10_patch2/src/TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMVATrainer_cfi.py