Exemplos de JetMETSkimmer em Python

Exemplo n.º 1

Arquivo: crab_script_2017_MuMu_E.py Projeto: NJManganelli/FourTopNAOD

                               saveMETUncs=['T1', 'T1Smear']
                           )
moduleCache.append(jmeModule())
moduleCache.append(TriggerAndLeptonSkimmer('baseline',
                                           era=era,
                                           subera=subera,
                                           isData=isData,
                                           TriggerChannel=TriggerChannel,
                                           fillHists=False,
                                           mode="Flag",
                                       )
               )
moduleCache.append(JetMETSkimmer(jetMinPt=20.0,
                                 jetMaxEta=2.4 if era == "2016" else 2.5,
                                 jetMinID=0b010,
                                 jetMinCount=4,
                                 minPseudoHT=350,
                                 fillHists=False
                             )
               )
p=PostProcessor(".", 
                theFiles,       
                modules=moduleCache, 
                cut=thePreselection, 
                provenance=True, 
                fwkJobReport=True, 
                jsonInput=theLumis, 
                histFileName="hist.root",
                histDirName="plots",
                branchsel=None,
                outputbranchsel=None,

Exemplo n.º 2

Arquivo: crab_script_2018_El_B.py Projeto: NJManganelli/FourTopNAOD

    saveMETUncs=['T1', 'T1Smear'])
moduleCache.append(jmeModule())
moduleCache.append(
    TriggerAndLeptonSkimmer(
        'baseline',
        era=era,
        subera=subera,
        isData=isData,
        TriggerChannel=TriggerChannel,
        fillHists=False,
        mode="Flag",
    ))
moduleCache.append(
    JetMETSkimmer(jetMinPt=20.0,
                  jetMaxEta=2.4 if era == "2016" else 2.5,
                  jetMinID=0b010,
                  jetMinCount=3,
                  minPseudoHT=350,
                  fillHists=False))
p = PostProcessor(
    ".",
    theFiles,
    modules=moduleCache,
    cut=thePreselection,
    provenance=True,
    fwkJobReport=True,
    jsonInput=theLumis,
    histFileName="hist.root",
    histDirName="plots",
    branchsel=None,
    outputbranchsel=None,
    compression="LZMA:9",