def listOfSteps(self,pars) :
import calculables.Other
from steps import Print,Other,Histos,Filter
return [ Print.progressPrinter(),
Other.histogrammer("genpthat",200,0,1000,title=";#hat{p_{T}} (GeV);events / bin"),
Histos.multiplicity("vertexIndices",max=15),
Filter.multiplicity("vertexIndices",min=1),
Filter.pt("muonP4PF", min = 25, indices = "muonIndicesPF", index=0),
Histos.multiplicity("vertexIndices",max=15),
calculables.Other.Ratio("nVertex", binning = (15,-0.5,14.5), thisSample = pars['baseSample'],
target = ("SingleMu",[]), groups = [('qcd_mg',[]),('qcd_py6',[])],
),
Histos.multiplicity("vertexIndices",max=15),
]
def listOfSteps(self, params) :
from steps import Print,Displayer,Other
return [
Print.progressPrinter(),
#Other.variableGreaterFilter(675, "%sSumEt%s"%params["objects"]["jet"], suffix = "GeV"),
Displayer.displayer(jets = params["objects"]["jet"],
muons = params["objects"]["muon"],
met = params["objects"]["met"],
electrons = params["objects"]["electron"],
photons = params["objects"]["photon"],
recHits = params["objects"]["rechit"], recHitPtThreshold = 1.0,#GeV
scale = 400.0,#GeV
etRatherThanPt = params["etRatherThanPt"],
deltaPhiStarExtraName = params["lowPtName"],
deltaPhiStarCut = 0.5,
deltaPhiStarDR = 0.3,
j2Factor = params["thresholds"][2]/params["thresholds"][0],
mhtOverMetName = "%sMht%sOver%s"%(params["objects"]["jet"][0], params["objects"]["jet"][1]+params["highPtName"], params["objects"]["met"]),
metOtherAlgo = params["objects"]["compMet"],
jetsOtherAlgo = params["objects"]["compJet"],
#doGenJets = True,
#prettyMode = True,
),
]
def listOfSteps(self,pars) :
from steps import Print,Other
return [ Print.progressPrinter(),
Other.histogrammer("genpthat",200,0,1000,title=";#hat{p_{T}} (GeV);events / bin"),
]