goodTau = lambda x: susy_tau_extraloose(x)
goodLepProducer = collectionMerger(input=["Electron", "Muon"],
output="LepGood",
maxObjects=10,
selector=dict([("Electron", goodElec),
("Muon", goodMuon)]))
goodTauProducer = collectionMerger(input=["Tau"],
output="TauGood",
maxObjects=10,
selector=dict([("Tau", goodTau)]))
from PhysicsTools.NanoAODTools.postprocessing.framework.crabhelper import inputFiles, runsAndLumis
skimRecoLeps = SkimRecoLeps(sampOpt['isData'] == True)
mod = [goodLepProducer, goodTauProducer, skimRecoLeps]
splitMass = splitSMSmasses(sampOpt["LSPID"], sampOpt["NLSPID1"])
ISRReweight = ISRReWeighting(
{
(0, 50): 1,
(50, 100): 1.052,
(100, 150): 1.179,
(150, 200): 1.150,
(200, 300): 1.057,
(300, 400): 1.000,
(400, 600): 0.912,
(600, 30000): 0.783
}, sampOpt["NLSPID1"], sampOpt["NLSPID2"])
mod = mod + [splitMass, ISRReweight]
goodTau = lambda x: susy_tau_extraloose(x)
goodLepProducer = collectionMerger(input=["Electron", "Muon"],
output="LepGood",
maxObjects=10,
selector=dict([("Electron", goodElec),
("Muon", goodMuon)]))
goodTauProducer = collectionMerger(input=["Tau"],
output="TauGood",
maxObjects=10,
selector=dict([("Tau", goodTau)]))
from PhysicsTools.NanoAODTools.postprocessing.framework.crabhelper import inputFiles, runsAndLumis
skimRecoLeps = SkimRecoLeps(sample.options['isData'] == True)
mod = [goodLepProducer, goodTauProducer, skimRecoLeps]
if not sample.options['isData']:
# add pile-up weight before any skim
mod = [puAutoWeight2018()] + mod
## add jet met uncertainties
from PhysicsTools.NanoAODTools.postprocessing.modules.jme.jetmetUncertainties import jetmetUncertainties2018All, jetmetUncertainties2018
jmeUncert = jetmetUncertainties2018All()
jmeUncert.metBranchName = 'MET'
mod.extend([jmeUncert])
from PhysicsTools.NanoAODTools.postprocessing.modules.WZ_EWK.jetMetCorrelator import jetMetCorrelations2018
mod.extend([jetMetCorrelations2018()])
## add xsec branch