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#!/usr/bin/env python
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import sys
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import os,subprocess
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import ROOT
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import math
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import shutil
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from array import array
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import warnings
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warnings.filterwarnings( action='ignore', category=RuntimeWarning, message='creating converter.*' )
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ROOT.gROOT.SetBatch(True)
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from optparse import OptionParser
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#usage: ./write_regression_systematic.py path
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#os.mkdir(path+'/sys')
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argv = sys.argv
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parser = OptionParser()
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#parser.add_option("-P", "--path", dest="path", default="",
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# help="path to samples")
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parser.add_option("-S", "--samples", dest="names", default="",
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help="samples you want to run on")
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parser.add_option("-C", "--config", dest="config", default=[], action="append",
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help="configuration defining the plots to make")
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(opts, args) = parser.parse_args(argv)
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if opts.config =="":
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opts.config = "config"
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from myutils import BetterConfigParser, ParseInfo
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print opts.config
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config = BetterConfigParser()
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config.read(opts.config)
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anaTag = config.get("Analysis","tag")
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TrainFlag = eval(config.get('Analysis','TrainFlag'))
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btagLibrary = config.get('BTagReshaping','library')
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samplesinfo=config.get('Directories','samplesinfo')
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VHbbNameSpace=config.get('VHbbNameSpace','library')
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ROOT.gSystem.Load(VHbbNameSpace)
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AngLikeBkgs=eval(config.get('AngularLike','backgrounds'))
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ang_yield=eval(config.get('AngularLike','yields'))
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#path=opts.path
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pathIN = config.get('Directories','SYSin')
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pathOUT = config.get('Directories','SYSout')
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tmpDir = os.environ["TMPDIR"]
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print 'INput samples:\t%s'%pathIN
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print 'OUTput samples:\t%s'%pathOUT
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#storagesamples = config.get('Directories','storagesamples')
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namelist=opts.names.split(',')
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#load info
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info = ParseInfo(samplesinfo,pathIN)
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def deltaPhi(phi1, phi2):
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result = phi1 - phi2
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while (result > math.pi): result -= 2*math.pi
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while (result <= -math.pi): result += 2*math.pi
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return result
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def resolutionBias(eta):
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if(eta< 0.5): return 0.052
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if(eta< 1.1): return 0.057
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if(eta< 1.7): return 0.096
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if(eta< 2.3): return 0.134
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if(eta< 5): return 0.28
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return 0
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def corrPt(pt,eta,mcPt):
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return (pt+resolutionBias(math.fabs(eta))*(pt-mcPt))/pt
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def corrCSV(btag, csv, flav):
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if(csv < 0.): return csv
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if(csv > 1.): return csv;
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if(flav == 0): return csv;
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if(math.fabs(flav) == 5): return btag.ib.Eval(csv)
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if(math.fabs(flav) == 4): return btag.ic.Eval(csv)
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if(math.fabs(flav) != 4 and math.fabs(flav) != 5): return btag.il.Eval(csv)
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return -10000
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def csvReshape(sh, pt, eta, csv, flav):
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return sh.reshape(float(eta), float(pt), float(csv), int(flav))
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for job in info:
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if not job.name in namelist: continue
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ROOT.gROOT.ProcessLine(
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"struct H {\
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int HiggsFlag;\
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float mass;\
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float pt;\
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float eta;\
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float phi;\
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float dR;\
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float dPhi;\
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float dEta;\
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} ;"
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)
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if anaTag == '7TeV':
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ROOT.gSystem.Load(btagLibrary)
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from ROOT import BTagShape
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btagNom = BTagShape("../data/csvdiscr.root")
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btagNom.computeFunctions()
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btagUp = BTagShape("../data/csvdiscr.root")
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btagUp.computeFunctions(+1.,0.)
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btagDown = BTagShape("../data/csvdiscr.root")
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btagDown.computeFunctions(-1.,0.)
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btagFUp = BTagShape("../data/csvdiscr.root")
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btagFUp.computeFunctions(0.,+1.)
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btagFDown = BTagShape("../data/csvdiscr.root")
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btagFDown.computeFunctions(0.,-1.)
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else:
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ROOT.gSystem.Load(btagLibrary)
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from ROOT import BTagShapeInterface
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btagNom = BTagShapeInterface("../data/csvdiscr.root",0,0)
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btagUp = BTagShapeInterface("../data/csvdiscr.root",+1,0)
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btagDown = BTagShapeInterface("../data/csvdiscr.root",-1,0)
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btagFUp = BTagShapeInterface("../data/csvdiscr.root",0,+1.)
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btagFDown = BTagShapeInterface("../data/csvdiscr.root",0,-1.)
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lhe_weight_map = False if not config.has_option('LHEWeights', 'weights_per_bin') else eval(config.get('LHEWeights', 'weights_per_bin'))
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print '\t - %s' %(job.name)
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input = ROOT.TFile.Open(pathIN+'/'+job.prefix+job.identifier+'.root','read')
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output = ROOT.TFile.Open(tmpDir+'/'+job.prefix+job.identifier+'.root','recreate')
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input.cd()
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if lhe_weight_map and 'DY' in job.name:
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inclusiveJob = info.get_sample('DY')
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print inclusiveJob.name
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inclusive = ROOT.TFile.Open(pathIN+inclusiveJob.get_path,'read')
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inclusive.cd()
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obj = ROOT.TObject
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for key in ROOT.gDirectory.GetListOfKeys():
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input.cd()
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obj = key.ReadObj()
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if obj.GetName() == job.tree:
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continue
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output.cd()
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obj.Write(key.GetName())
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inclusive.Close()
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else:
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obj = ROOT.TObject
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for key in ROOT.gDirectory.GetListOfKeys():
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input.cd()
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obj = key.ReadObj()
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if obj.GetName() == job.tree:
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continue
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output.cd()
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obj.Write(key.GetName())
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input.cd()
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tree = input.Get(job.tree)
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nEntries = tree.GetEntries()
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H = ROOT.H()
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HNoReg = ROOT.H()
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tree.SetBranchStatus('H',0)
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output.cd()
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newtree = tree.CloneTree(0)
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hJ0 = ROOT.TLorentzVector()
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hJ1 = ROOT.TLorentzVector()
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vect = ROOT.TLorentzVector()
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#hFJ0 = ROOT.TLorentzVector()
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#hFJ1 = ROOT.TLorentzVector()
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regWeight = config.get("Regression","regWeight")
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regDict = eval(config.get("Regression","regDict"))
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regVars = eval(config.get("Regression","regVars"))
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#regWeightFilterJets = config.get("Regression","regWeightFilterJets")
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#regDictFilterJets = eval(config.get("Regression","regDictFilterJets"))
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#regVarsFilterJets = eval(config.get("Regression","regVarsFilterJets"))
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#Regression branches
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applyRegression = True
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hJet_pt = array('f',[0]*2)
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hJet_e = array('f',[0]*2)
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newtree.Branch( 'H', H , 'HiggsFlag/I:mass/F:pt/F:eta/F:phi/F:dR/F:dPhi/F:dEta/F' )
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newtree.Branch( 'HNoReg', HNoReg , 'HiggsFlag/I:mass/F:pt/F:eta/F:phi/F:dR/F:dPhi/F:dEta/F' )
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#FatHReg = array('f',[0]*2)
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#newtree.Branch('FatHReg',FatHReg,'filteredmass:filteredpt/F')
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Event = array('f',[0])
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METet = array('f',[0])
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rho25 = array('f',[0])
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METphi = array('f',[0])
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fRho25 = ROOT.TTreeFormula("rho25",'rho25',tree)
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fEvent = ROOT.TTreeFormula("Event",'EVENT.event',tree)
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fFatHFlag = ROOT.TTreeFormula("FatHFlag",'FatH.FatHiggsFlag',tree)
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fFatHnFilterJets = ROOT.TTreeFormula("FatHnFilterJets",'nfathFilterJets',tree)
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fMETet = ROOT.TTreeFormula("METet",'METnoPU.et',tree)
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fMETphi = ROOT.TTreeFormula("METphi",'METnoPU.phi',tree)
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fHVMass = ROOT.TTreeFormula("HVMass",'HVMass',tree)
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hJet_MtArray = [array('f',[0]),array('f',[0])]
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hJet_EtArray = [array('f',[0]),array('f',[0])]
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hJet_MET_dPhi = array('f',[0]*2)
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hJet_regWeight = array('f',[0]*2)
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fathFilterJets_regWeight = array('f',[0]*2)
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hJet_MET_dPhiArray = [array('f',[0]),array('f',[0])]
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hJet_ptRawArray = [array('f',[0]),array('f',[0])]
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newtree.Branch('hJet_MET_dPhi',hJet_MET_dPhi,'hJet_MET_dPhi[2]/F')
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newtree.Branch('hJet_regWeight',hJet_regWeight,'hJet_regWeight[2]/F')
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readerJet0 = ROOT.TMVA.Reader("!Color:!Silent" )
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readerJet1 = ROOT.TMVA.Reader("!Color:!Silent" )
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theForms = {}
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theVars0 = {}
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theVars1 = {}
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def addVarsToReader(reader,regDict,regVars,theVars,theForms,i,hJet_MET_dPhiArray,METet,rho25,hJet_MtArray,hJet_EtArray,hJet_ptRawArray):
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for key in regVars:
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var = regDict[key]
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theVars[key] = array( 'f', [ 0 ] )
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if var == 'Jet_MET_dPhi':
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print 'Adding var: %s with %s to readerJet%.0f' %(key,var,i)
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reader.AddVariable( key, hJet_MET_dPhiArray[i] )
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elif var == 'METet':
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print 'Adding var: %s with %s to readerJet%.0f' %(key,var,i)
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reader.AddVariable( key, METet )
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elif var == 'rho25':
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print 'Adding var: %s with %s to readerJet%.0f' %(key,var,i)
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reader.AddVariable( key, rho25 )
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elif var == 'Jet_mt':
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print 'Adding var: %s with %s to readerJet%.0f' %(key,var,i)
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reader.AddVariable( key, hJet_MtArray[i] )
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elif var == 'Jet_et':
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print 'Adding var: %s with %s to readerJet%.0f' %(key,var,i)
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reader.AddVariable( key, hJet_EtArray[i] )
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elif var == 'Jet_ptRaw':
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print 'Adding var: %s with %s to readerJet%.0f' %(key,var,i)
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reader.AddVariable( key, hJet_ptRawArray[i] )
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else:
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reader.AddVariable(key,theVars[key])
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formula = regDict[key].replace("[0]","[%.0f]" %i)
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print 'Adding var: %s with %s to readerJet%.0f' %(key,formula,i)
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theForms['form_reg_%s_%.0f'%(key,i)] = ROOT.TTreeFormula("form_reg_%s_%.0f"%(key,i),'%s' %(formula),tree)
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return
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addVarsToReader(readerJet0,regDict,regVars,theVars0,theForms,0,hJet_MET_dPhiArray,METet,rho25,hJet_MtArray,hJet_EtArray,hJet_ptRawArray)
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addVarsToReader(readerJet1,regDict,regVars,theVars1,theForms,1,hJet_MET_dPhiArray,METet,rho25,hJet_MtArray,hJet_EtArray,hJet_ptRawArray)
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readerJet0.BookMVA( "jet0Regression", regWeight )
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readerJet1.BookMVA( "jet1Regression", regWeight )
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#readerFJ0 = ROOT.TMVA.Reader("!Color:!Silent" )
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#readerFJ1 = ROOT.TMVA.Reader("!Color:!Silent" )
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#theFormsFJ = {}
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#theVars0FJ = {}
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#theVars1FJ = {}
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#addVarsToReader(readerFJ0,regDictFilterJets,regVarsFilterJets,theVars0FJ,theFormsFJ,0,hJet_MET_dPhiArray,METet,rho25,hJet_MtArray,hJet_EtArray,hJet_ptRawArray)
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#addVarsToReader(readerFJ1,regDictFilterJets,regVarsFilterJets,theVars1FJ,theFormsFJ,1,hJet_MET_dPhiArray,METet,rho25,hJet_MtArray,hJet_EtArray,hJet_ptRawArray)
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#readerFJ0.BookMVA( "jet0RegressionFJ", regWeightFilterJets )
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#readerFJ1.BookMVA( "jet1RegressionFJ", regWeightFilterJets )
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#Add training Flag
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EventForTraining = array('i',[0])
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newtree.Branch('EventForTraining',EventForTraining,'EventForTraining/I')
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EventForTraining[0]=0
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TFlag=ROOT.TTreeFormula("EventForTraining","EVENT.event%2",tree)
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#Angular Likelihood
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angleHB = array('f',[0])
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newtree.Branch('angleHB',angleHB,'angleHB/F')
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angleLZ = array('f',[0])
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newtree.Branch('angleLZ',angleLZ,'angleLZ/F')
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angleZZS = array('f',[0])
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newtree.Branch('angleZZS',angleZZS,'angleZZS/F')
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kinLikeRatio = array('f',[0]*len(AngLikeBkgs))
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newtree.Branch('kinLikeRatio',kinLikeRatio,'%s/F' %(':'.join(AngLikeBkgs)))
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fAngleHB = ROOT.TTreeFormula("fAngleHB",'abs(VHbb::ANGLEHB(hJet_pt[0],hJet_eta[0],hJet_phi[0],hJet_e[0],hJet_pt[1],hJet_eta[1],hJet_phi[1],hJet_e[1]))',newtree)
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fAngleLZ = ROOT.TTreeFormula("fAngleLZ",'abs(VHbb::ANGLELZ(vLepton_pt[0],vLepton_eta[0],vLepton_phi[0],vLepton_mass[0],vLepton_pt[1],vLepton_eta[1],vLepton_phi[1],vLepton_mass[1]))',newtree)
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fAngleZZS = ROOT.TTreeFormula("fAngleZZS",'abs(VHbb::ANGLELZ(H.pt,H.eta,H.phi,H.pt,V.pt,V.eta,V.phi,V.mass))',newtree)
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fVpt = ROOT.TTreeFormula("fVpt",'V.pt',tree)
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fVeta = ROOT.TTreeFormula("fVeta",'V.eta',tree)
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fVphi = ROOT.TTreeFormula("fVphi",'V.phi',tree)
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fVmass = ROOT.TTreeFormula("fVmass",'V.mass',tree)
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likeSBH = array('f',[0]*len(AngLikeBkgs))
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likeBBH = array('f',[0]*len(AngLikeBkgs))
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likeSLZ = array('f',[0]*len(AngLikeBkgs))
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likeBLZ = array('f',[0]*len(AngLikeBkgs))
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likeSZZS = array('f',[0]*len(AngLikeBkgs))
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likeBZZS = array('f',[0]*len(AngLikeBkgs))
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likeSMassZS = array('f',[0]*len(AngLikeBkgs))
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likeBMassZS = array('f',[0]*len(AngLikeBkgs))
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HVMass_Reg = array('f',[0])
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newtree.Branch('HVMass_Reg',HVMass_Reg,'HVMass_Reg/F')
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SigBH = []; BkgBH = []; SigLZ = []; BkgLZ = []; SigZZS = []; BkgZZS = []; SigMassZS = []; BkgMassZS = [];
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| 295 |
for angLikeBkg in AngLikeBkgs:
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f = ROOT.TFile("../data/angleFitFunctions-%s.root"%(angLikeBkg),"READ")
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SigBH.append(f.Get("sigFuncBH"))
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BkgBH.append(f.Get("bkgFuncBH"))
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SigLZ.append(f.Get("sigFuncLZ"))
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BkgLZ.append(f.Get("bkgFuncLZ"))
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SigZZS.append(f.Get("sigFuncZZS"))
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BkgZZS.append(f.Get("bkgFuncZZS"))
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SigMassZS.append(f.Get("sigFuncMassZS"))
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BkgMassZS.append(f.Get("bkgFuncMassZS"))
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f.Close()
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| 307 |
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| 308 |
if job.type != 'DATA':
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| 309 |
#CSV branches
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| 310 |
hJet_flavour = array('f',[0]*2)
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| 311 |
hJet_csv = array('f',[0]*2)
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| 312 |
hJet_csvOld = array('f',[0]*2)
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| 313 |
hJet_csvUp = array('f',[0]*2)
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| 314 |
hJet_csvDown = array('f',[0]*2)
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| 315 |
hJet_csvFUp = array('f',[0]*2)
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| 316 |
hJet_csvFDown = array('f',[0]*2)
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newtree.Branch('hJet_csvOld',hJet_csvOld,'hJet_csvOld[2]/F')
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newtree.Branch('hJet_csvUp',hJet_csvUp,'hJet_csvUp[2]/F')
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| 319 |
newtree.Branch('hJet_csvDown',hJet_csvDown,'hJet_csvDown[2]/F')
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| 320 |
newtree.Branch('hJet_csvFUp',hJet_csvFUp,'hJet_csvFUp[2]/F')
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newtree.Branch('hJet_csvFDown',hJet_csvFDown,'hJet_csvFDown[2]/F')
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| 322 |
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#JER branches
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| 324 |
hJet_pt_JER_up = array('f',[0]*2)
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| 325 |
newtree.Branch('hJet_pt_JER_up',hJet_pt_JER_up,'hJet_pt_JER_up[2]/F')
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| 326 |
hJet_pt_JER_down = array('f',[0]*2)
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| 327 |
newtree.Branch('hJet_pt_JER_down',hJet_pt_JER_down,'hJet_pt_JER_down[2]/F')
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| 328 |
hJet_e_JER_up = array('f',[0]*2)
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| 329 |
newtree.Branch('hJet_e_JER_up',hJet_e_JER_up,'hJet_e_JER_up[2]/F')
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| 330 |
hJet_e_JER_down = array('f',[0]*2)
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| 331 |
newtree.Branch('hJet_e_JER_down',hJet_e_JER_down,'hJet_e_JER_down[2]/F')
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| 332 |
H_JER = array('f',[0]*4)
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| 333 |
newtree.Branch('H_JER',H_JER,'mass_up:mass_down:pt_up:pt_down/F')
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| 334 |
HVMass_JER_up = array('f',[0])
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| 335 |
HVMass_JER_down = array('f',[0])
|
| 336 |
newtree.Branch('HVMass_JER_up',HVMass_JER_up,'HVMass_JER_up/F')
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| 337 |
newtree.Branch('HVMass_JER_down',HVMass_JER_down,'HVMass_JER_down/F')
|
| 338 |
angleHB_JER_up = array('f',[0])
|
| 339 |
angleHB_JER_down = array('f',[0])
|
| 340 |
angleZZS_JER_up = array('f',[0])
|
| 341 |
angleZZS_JER_down = array('f',[0])
|
| 342 |
newtree.Branch('angleHB_JER_up',angleHB_JER_up,'angleHB_JER_up/F')
|
| 343 |
newtree.Branch('angleHB_JER_down',angleHB_JER_down,'angleHB_JER_down/F')
|
| 344 |
newtree.Branch('angleZZS_JER_up',angleZZS_JER_up,'angleZZS_JER_up/F')
|
| 345 |
newtree.Branch('angleZZS_JER_down',angleZZS_JER_down,'angleZZS_JER_down/F')
|
| 346 |
|
| 347 |
#JES branches
|
| 348 |
hJet_pt_JES_up = array('f',[0]*2)
|
| 349 |
newtree.Branch('hJet_pt_JES_up',hJet_pt_JES_up,'hJet_pt_JES_up[2]/F')
|
| 350 |
hJet_pt_JES_down = array('f',[0]*2)
|
| 351 |
newtree.Branch('hJet_pt_JES_down',hJet_pt_JES_down,'hJet_pt_JES_down[2]/F')
|
| 352 |
hJet_e_JES_up = array('f',[0]*2)
|
| 353 |
newtree.Branch('hJet_e_JES_up',hJet_e_JES_up,'hJet_e_JES_up[2]/F')
|
| 354 |
hJet_e_JES_down = array('f',[0]*2)
|
| 355 |
newtree.Branch('hJet_e_JES_down',hJet_e_JES_down,'hJet_e_JES_down[2]/F')
|
| 356 |
H_JES = array('f',[0]*4)
|
| 357 |
newtree.Branch('H_JES',H_JES,'mass_up:mass_down:pt_up:pt_down/F')
|
| 358 |
HVMass_JES_up = array('f',[0])
|
| 359 |
HVMass_JES_down = array('f',[0])
|
| 360 |
newtree.Branch('HVMass_JES_up',HVMass_JES_up,'HVMass_JES_up/F')
|
| 361 |
newtree.Branch('HVMass_JES_down',HVMass_JES_down,'HVMass_JES_down/F')
|
| 362 |
angleHB_JES_up = array('f',[0])
|
| 363 |
angleHB_JES_down = array('f',[0])
|
| 364 |
angleZZS_JES_up = array('f',[0])
|
| 365 |
angleZZS_JES_down = array('f',[0])
|
| 366 |
newtree.Branch('angleHB_JES_up',angleHB_JES_up,'angleHB_JES_up/F')
|
| 367 |
newtree.Branch('angleHB_JES_down',angleHB_JES_down,'angleHB_JES_down/F')
|
| 368 |
newtree.Branch('angleZZS_JES_up',angleZZS_JES_up,'angleZZS_JES_up/F')
|
| 369 |
newtree.Branch('angleZZS_JES_down',angleZZS_JES_down,'angleZZS_JES_down/F')
|
| 370 |
|
| 371 |
#Formulas for syst in angular
|
| 372 |
fAngleHB_JER_up = ROOT.TTreeFormula("fAngleHB_JER_up",'abs(VHbb::ANGLEHB(hJet_pt_JER_up[0],hJet_eta[0],hJet_phi[0],hJet_e_JER_up[0],hJet_pt_JER_up[1],hJet_eta[1],hJet_phi[1],hJet_e_JER_up[1]))',newtree)
|
| 373 |
fAngleHB_JER_down = ROOT.TTreeFormula("fAngleHB_JER_down",'abs(VHbb::ANGLEHB(hJet_pt_JER_down[0],hJet_eta[0],hJet_phi[0],hJet_e_JER_down[0],hJet_pt_JER_down[1],hJet_eta[1],hJet_phi[1],hJet_e_JER_down[1]))',newtree)
|
| 374 |
fAngleHB_JES_up = ROOT.TTreeFormula("fAngleHB_JES_up",'abs(VHbb::ANGLEHB(hJet_pt_JES_up[0],hJet_eta[0],hJet_phi[0],hJet_e_JES_up[0],hJet_pt_JES_up[1],hJet_eta[1],hJet_phi[1],hJet_e_JES_up[1]))',newtree)
|
| 375 |
fAngleHB_JES_down = ROOT.TTreeFormula("fAngleHB_JES_down",'abs(VHbb::ANGLEHB(hJet_pt_JES_down[0],hJet_eta[0],hJet_phi[0],hJet_e_JES_down[0],hJet_pt_JES_down[1],hJet_eta[1],hJet_phi[1],hJet_e_JES_down[1]))',newtree)
|
| 376 |
fAngleZZS_JER_up = ROOT.TTreeFormula("fAngleZZS_JER_Up",'abs(VHbb::ANGLELZ(H_JER.pt_up,H.eta,H.phi,H_JER.pt_up,V.pt,V.eta,V.phi,V.mass))',newtree)
|
| 377 |
fAngleZZS_JER_down = ROOT.TTreeFormula("fAngleZZS_JER_Down",'abs(VHbb::ANGLELZ(H_JER.pt_down,H.eta,H.phi,H_JER.pt_down,V.pt,V.eta,V.phi,V.mass))',newtree)
|
| 378 |
fAngleZZS_JES_up = ROOT.TTreeFormula("fAngleZZS_JES_Up",'abs(VHbb::ANGLELZ(H_JER.pt_up,H.eta,H.phi,H_JER.pt_up,V.pt,V.eta,V.phi,V.mass))',newtree)
|
| 379 |
fAngleZZS_JES_down = ROOT.TTreeFormula("fAngleZZS_JES_Down",'abs(VHbb::ANGLELZ(H_JER.pt_down,H.eta,H.phi,H_JER.pt_down,V.pt,V.eta,V.phi,V.mass))',newtree)
|
| 380 |
lheWeight = array('f',[0])
|
| 381 |
newtree.Branch('lheWeight',lheWeight,'lheWeight/F')
|
| 382 |
theBinForms = {}
|
| 383 |
if lhe_weight_map and 'DY' in job.name:
|
| 384 |
for bin in lhe_weight_map:
|
| 385 |
theBinForms[bin] = ROOT.TTreeFormula("Bin_formula_%s"%(bin),bin,tree)
|
| 386 |
else:
|
| 387 |
lheWeight[0] = 1.
|
| 388 |
|
| 389 |
#iter=0
|
| 390 |
|
| 391 |
|
| 392 |
for entry in range(0,nEntries):
|
| 393 |
tree.GetEntry(entry)
|
| 394 |
|
| 395 |
if job.type != 'DATA':
|
| 396 |
EventForTraining[0]=int(not TFlag.EvalInstance())
|
| 397 |
if lhe_weight_map and 'DY' in job.name:
|
| 398 |
match_bin = None
|
| 399 |
for bin in lhe_weight_map:
|
| 400 |
if theBinForms[bin].EvalInstance() > 0.:
|
| 401 |
match_bin = bin
|
| 402 |
if match_bin:
|
| 403 |
lheWeight[0] = lhe_weight_map[match_bin]
|
| 404 |
else:
|
| 405 |
lheWeight[0] = 1.
|
| 406 |
|
| 407 |
#Has fat higgs
|
| 408 |
#fatHiggsFlag=fFatHFlag.EvalInstance()*fFatHnFilterJets.EvalInstance()
|
| 409 |
|
| 410 |
#get
|
| 411 |
vect.SetPtEtaPhiM(fVpt.EvalInstance(),fVeta.EvalInstance(),fVphi.EvalInstance(),fVmass.EvalInstance())
|
| 412 |
hJet_pt = tree.hJet_pt
|
| 413 |
hJet_e = tree.hJet_e
|
| 414 |
hJet_pt0 = tree.hJet_pt[0]
|
| 415 |
hJet_pt1 = tree.hJet_pt[1]
|
| 416 |
hJet_eta0 = tree.hJet_eta[0]
|
| 417 |
hJet_eta1 = tree.hJet_eta[1]
|
| 418 |
hJet_genPt0 = tree.hJet_genPt[0]
|
| 419 |
hJet_genPt1 = tree.hJet_genPt[1]
|
| 420 |
hJet_ptRaw0 = tree.hJet_ptRaw[0]
|
| 421 |
hJet_ptRaw1 = tree.hJet_ptRaw[1]
|
| 422 |
hJet_e0 = tree.hJet_e[0]
|
| 423 |
hJet_e1 = tree.hJet_e[1]
|
| 424 |
hJet_phi0 = tree.hJet_phi[0]
|
| 425 |
hJet_phi1 = tree.hJet_phi[1]
|
| 426 |
hJet_JECUnc0 = tree.hJet_JECUnc[0]
|
| 427 |
hJet_JECUnc1 = tree.hJet_JECUnc[1]
|
| 428 |
#Filterjets
|
| 429 |
#if fatHiggsFlag:
|
| 430 |
# fathFilterJets_pt0 = tree.fathFilterJets_pt[0]
|
| 431 |
# fathFilterJets_pt1 = tree.fathFilterJets_pt[1]
|
| 432 |
# fathFilterJets_eta0 = tree.fathFilterJets_eta[0]
|
| 433 |
# fathFilterJets_eta1 = tree.fathFilterJets_eta[1]
|
| 434 |
# fathFilterJets_phi0 = tree.fathFilterJets_phi[0]
|
| 435 |
# fathFilterJets_phi1 = tree.fathFilterJets_phi[1]
|
| 436 |
# fathFilterJets_e0 = tree.fathFilterJets_e[0]
|
| 437 |
# fathFilterJets_e1 = tree.fathFilterJets_e[1]
|
| 438 |
|
| 439 |
Event[0]=fEvent.EvalInstance()
|
| 440 |
METet[0]=fMETet.EvalInstance()
|
| 441 |
rho25[0]=fRho25.EvalInstance()
|
| 442 |
METphi[0]=fMETphi.EvalInstance()
|
| 443 |
for key, value in regDict.items():
|
| 444 |
if not (value == 'Jet_MET_dPhi' or value == 'METet' or value == "rho25" or value == "Jet_et" or value == 'Jet_mt' or value == 'Jet_ptRaw'):
|
| 445 |
theVars0[key][0] = theForms["form_reg_%s_0" %(key)].EvalInstance()
|
| 446 |
theVars1[key][0] = theForms["form_reg_%s_1" %(key)].EvalInstance()
|
| 447 |
#for key, value in regDictFilterJets.items():
|
| 448 |
# if not (value == 'Jet_MET_dPhi' or value == 'METet' or value == "rho25" or value == "Jet_et" or value == 'Jet_mt' or value == 'Jet_ptRaw'):
|
| 449 |
# theVars0FJ[key][0] = theFormsFJ["form_reg_%s_0" %(key)].EvalInstance()
|
| 450 |
# theVars1FJ[key][0] = theFormsFJ["form_reg_%s_1" %(key)].EvalInstance()
|
| 451 |
hJet_MET_dPhi[0] = deltaPhi(METphi[0],hJet_phi0)
|
| 452 |
hJet_MET_dPhi[1] = deltaPhi(METphi[0],hJet_phi1)
|
| 453 |
hJet_MET_dPhiArray[0][0] = deltaPhi(METphi[0],hJet_phi0)
|
| 454 |
hJet_MET_dPhiArray[1][0] = deltaPhi(METphi[0],hJet_phi1)
|
| 455 |
if not job.type == 'DATA':
|
| 456 |
corrRes0 = corrPt(hJet_pt0,hJet_eta0,hJet_genPt0)
|
| 457 |
corrRes1 = corrPt(hJet_pt1,hJet_eta1,hJet_genPt1)
|
| 458 |
hJet_ptRaw0 *= corrRes0
|
| 459 |
hJet_ptRaw1 *= corrRes1
|
| 460 |
hJet_ptRawArray[0][0] = hJet_ptRaw0
|
| 461 |
hJet_ptRawArray[1][0] = hJet_ptRaw1
|
| 462 |
hJ0.SetPtEtaPhiE(hJet_pt0,hJet_eta0,hJet_phi0,hJet_e0)
|
| 463 |
hJ1.SetPtEtaPhiE(hJet_pt1,hJet_eta1,hJet_phi1,hJet_e1)
|
| 464 |
hJet_et0 = hJ0.Et()
|
| 465 |
hJet_et1 = hJ1.Et()
|
| 466 |
hJet_mt0 = hJ0.Mt()
|
| 467 |
hJet_mt1 = hJ1.Mt()
|
| 468 |
|
| 469 |
|
| 470 |
if applyRegression:
|
| 471 |
HNoReg.HiggsFlag = 1
|
| 472 |
HNoReg.mass = (hJ0+hJ1).M()
|
| 473 |
HNoReg.pt = (hJ0+hJ1).Pt()
|
| 474 |
HNoReg.eta = (hJ0+hJ1).Eta()
|
| 475 |
HNoReg.phi = (hJ0+hJ1).Phi()
|
| 476 |
HNoReg.dR = hJ0.DeltaR(hJ1)
|
| 477 |
HNoReg.dPhi = hJ0.DeltaPhi(hJ1)
|
| 478 |
HNoReg.dEta = abs(hJ0.Eta()-hJ1.Eta())
|
| 479 |
hJet_MtArray[0][0] = hJ0.Mt()
|
| 480 |
hJet_MtArray[1][0] = hJ1.Mt()
|
| 481 |
hJet_EtArray[0][0] = hJ0.Et()
|
| 482 |
hJet_EtArray[1][0] = hJ1.Et()
|
| 483 |
rPt0 = max(0.0001,readerJet0.EvaluateRegression( "jet0Regression" )[0])
|
| 484 |
rPt1 = max(0.0001,readerJet1.EvaluateRegression( "jet1Regression" )[0])
|
| 485 |
hJet_regWeight[0] = rPt0/hJet_pt0
|
| 486 |
hJet_regWeight[1] = rPt1/hJet_pt1
|
| 487 |
rE0 = hJet_e0*hJet_regWeight[0]
|
| 488 |
rE1 = hJet_e1*hJet_regWeight[1]
|
| 489 |
hJ0.SetPtEtaPhiE(rPt0,hJet_eta0,hJet_phi0,rE0)
|
| 490 |
hJ1.SetPtEtaPhiE(rPt1,hJet_eta1,hJet_phi1,rE1)
|
| 491 |
#print '###new####'
|
| 492 |
#print 'First regression %s' %rPt0
|
| 493 |
tree.hJet_pt[0] = rPt0
|
| 494 |
tree.hJet_pt[1] = rPt1
|
| 495 |
tree.hJet_e[0] = rE0
|
| 496 |
tree.hJet_e[1] = rE1
|
| 497 |
H.HiggsFlag = 1
|
| 498 |
H.mass = (hJ0+hJ1).M()
|
| 499 |
H.pt = (hJ0+hJ1).Pt()
|
| 500 |
H.eta = (hJ0+hJ1).Eta()
|
| 501 |
H.phi = (hJ0+hJ1).Phi()
|
| 502 |
H.dR = hJ0.DeltaR(hJ1)
|
| 503 |
H.dPhi = hJ0.DeltaPhi(hJ1)
|
| 504 |
H.dEta = abs(hJ0.Eta()-hJ1.Eta())
|
| 505 |
HVMass_Reg[0] = (hJ0+hJ1+vect).M()
|
| 506 |
if hJet_regWeight[0] > 5. or hJet_regWeight[1] > 5.:
|
| 507 |
print 'Event %.0f' %(Event[0])
|
| 508 |
print 'MET %.2f' %(METet[0])
|
| 509 |
print 'rho25 %.2f' %(rho25[0])
|
| 510 |
for key, value in regDict.items():
|
| 511 |
if not (value == 'Jet_MET_dPhi' or value == 'METet' or value == "rho25" or value == "Jet_et" or value == 'Jet_mt' or value == 'Jet_ptRaw'):
|
| 512 |
print '%s 0: %.2f'%(key, theVars0[key][0])
|
| 513 |
print '%s 1: %.2f'%(key, theVars1[key][0])
|
| 514 |
for i in range(2):
|
| 515 |
print 'dPhi %.0f %.2f' %(i,hJet_MET_dPhiArray[i][0])
|
| 516 |
for i in range(2):
|
| 517 |
print 'ptRaw %.0f %.2f' %(i,hJet_ptRawArray[i][0])
|
| 518 |
for i in range(2):
|
| 519 |
print 'Mt %.0f %.2f' %(i,hJet_MtArray[i][0])
|
| 520 |
for i in range(2):
|
| 521 |
print 'Et %.0f %.2f' %(i,hJet_EtArray[i][0])
|
| 522 |
print 'corr 0 %.2f' %(hJet_regWeight[0])
|
| 523 |
print 'corr 1 %.2f' %(hJet_regWeight[1])
|
| 524 |
print 'rPt0 %.2f' %(rPt0)
|
| 525 |
print 'rPt1 %.2f' %(rPt1)
|
| 526 |
print 'rE0 %.2f' %(rE0)
|
| 527 |
print 'rE1 %.2f' %(rE1)
|
| 528 |
print 'Mass %.2f' %(H.mass)
|
| 529 |
#if fatHiggsFlag:
|
| 530 |
#hFJ0.SetPtEtaPhiE(fathFilterJets_pt0,fathFilterJets_eta0,fathFilterJets_phi0,fathFilterJets_e0)
|
| 531 |
#hFJ1.SetPtEtaPhiE(fathFilterJets_pt1,fathFilterJets_eta1,fathFilterJets_phi1,fathFilterJets_e1)
|
| 532 |
#rFJPt0 = max(0.0001,readerFJ0.EvaluateRegression( "jet0RegressionFJ" )[0])
|
| 533 |
#rFJPt1 = max(0.0001,readerFJ1.EvaluateRegression( "jet1RegressionFJ" )[0])
|
| 534 |
#fathFilterJets_regWeight[0] = rPt0/fathFilterJets_pt0
|
| 535 |
#fathFilterJets_regWeight[1] = rPt1/fathFilterJets_pt1
|
| 536 |
#rFJE0 = fathFilterJets_e0*fathFilterJets_regWeight[0]
|
| 537 |
#rFJE1 = fathFilterJets_e1*fathFilterJets_regWeight[1]
|
| 538 |
#hFJ0.SetPtEtaPhiE(rFJPt0,fathFilterJets_eta0,fathFilterJets_phi0,rFJE0)
|
| 539 |
#hFJ1.SetPtEtaPhiE(rFJPt1,fathFilterJets_eta1,fathFilterJets_phi1,rFJE1)
|
| 540 |
#FatHReg[0] = (hFJ0+hFJ1).M()
|
| 541 |
#FatHReg[1] = (hFJ0+hFJ1).Pt()
|
| 542 |
#else:
|
| 543 |
#FatHReg[0] = 0.
|
| 544 |
#FatHReg[1] = 0.
|
| 545 |
|
| 546 |
#print rFJPt0
|
| 547 |
#print rFJPt1
|
| 548 |
|
| 549 |
angleHB[0]=fAngleHB.EvalInstance()
|
| 550 |
angleLZ[0]=fAngleLZ.EvalInstance()
|
| 551 |
angleZZS[0]=fAngleZZS.EvalInstance()
|
| 552 |
|
| 553 |
for i, angLikeBkg in enumerate(AngLikeBkgs):
|
| 554 |
likeSBH[i] = math.fabs(SigBH[i].Eval(angleHB[0]))
|
| 555 |
likeBBH[i] = math.fabs(BkgBH[i].Eval(angleHB[0]))
|
| 556 |
|
| 557 |
likeSZZS[i] = math.fabs(SigZZS[i].Eval(angleZZS[0]))
|
| 558 |
likeBZZS[i] = math.fabs(BkgZZS[i].Eval(angleZZS[0]))
|
| 559 |
|
| 560 |
likeSLZ[i] = math.fabs(SigLZ[i].Eval(angleLZ[0]))
|
| 561 |
likeBLZ[i] = math.fabs(BkgLZ[i].Eval(angleLZ[0]))
|
| 562 |
|
| 563 |
likeSMassZS[i] = math.fabs(SigMassZS[i].Eval(fHVMass.EvalInstance()))
|
| 564 |
likeBMassZS[i] = math.fabs(BkgMassZS[i].Eval(fHVMass.EvalInstance()))
|
| 565 |
|
| 566 |
scaleSig = float( ang_yield['Sig'] / (ang_yield['Sig'] + ang_yield[angLikeBkg]))
|
| 567 |
scaleBkg = float( ang_yield[angLikeBkg] / (ang_yield['Sig'] + ang_yield[angLikeBkg]) )
|
| 568 |
|
| 569 |
numerator = (likeSBH[i]*likeSZZS[i]*likeSLZ[i]*likeSMassZS[i]);
|
| 570 |
denominator = ((scaleBkg*likeBLZ[i]*likeBZZS[i]*likeBBH[i]*likeBMassZS[i])+(scaleSig*likeSBH[i]*likeSZZS[i]*likeSLZ[i]*likeSMassZS[i]))
|
| 571 |
|
| 572 |
if denominator > 0:
|
| 573 |
kinLikeRatio[i] = numerator/denominator;
|
| 574 |
else:
|
| 575 |
kinLikeRatio[i] = 0;
|
| 576 |
|
| 577 |
if job.type == 'DATA':
|
| 578 |
newtree.Fill()
|
| 579 |
continue
|
| 580 |
|
| 581 |
for i in range(2):
|
| 582 |
flavour = int(tree.hJet_flavour[i])
|
| 583 |
pt = float(tree.hJet_pt[i])
|
| 584 |
eta = float(tree.hJet_eta[i])
|
| 585 |
csv = float(tree.hJet_csv[i])
|
| 586 |
hJet_csvOld[i] = csv
|
| 587 |
if anaTag == '7TeV':
|
| 588 |
tree.hJet_csv[i] = corrCSV(btagNom,csv,flavour)
|
| 589 |
hJet_csvDown[i] = corrCSV(btagDown,csv,flavour)
|
| 590 |
hJet_csvUp[i] = corrCSV(btagUp,csv,flavour)
|
| 591 |
hJet_csvFDown[i] = corrCSV(btagFDown,csv,flavour)
|
| 592 |
hJet_csvFUp[i] = corrCSV(btagFUp,csv,flavour)
|
| 593 |
else:
|
| 594 |
#tree.hJet_csv[i] = btagNom.reshape(eta,pt,csv,flavour)
|
| 595 |
#hJet_csvDown[i] = btagDown.reshape(eta,pt,csv,flavour)
|
| 596 |
#hJet_csvUp[i] = btagUp.reshape(eta,pt,csv,flavour)
|
| 597 |
#hJet_csvFDown[i] = btagFDown.reshape(eta,pt,csv,flavour)
|
| 598 |
#hJet_csvFUp[i] = btagFUp.reshape(eta,pt,csv,flavour)
|
| 599 |
tree.hJet_csv[i] = tree.hJet_csv_nominal[i]
|
| 600 |
hJet_csvDown[i] = tree.hJet_csv_downBC[i]
|
| 601 |
hJet_csvUp[i] = tree.hJet_csv_upBC[i]
|
| 602 |
hJet_csvFDown[i] = tree.hJet_csv_downL[i]
|
| 603 |
hJet_csvFUp[i] = tree.hJet_csv_upL[i]
|
| 604 |
|
| 605 |
for updown in ['up','down']:
|
| 606 |
#JER
|
| 607 |
if updown == 'up':
|
| 608 |
inner = 0.06
|
| 609 |
outer = 0.1
|
| 610 |
if updown == 'down':
|
| 611 |
inner = -0.06
|
| 612 |
outer = -0.1
|
| 613 |
#Calculate
|
| 614 |
if abs(hJet_eta0)<1.1: res0 = inner
|
| 615 |
else: res0 = outer
|
| 616 |
if abs(hJet_eta1)<1.1: res1 = inner
|
| 617 |
else: res1 = outer
|
| 618 |
rPt0 = hJet_pt0 + (hJet_pt0-hJet_genPt0)*res0
|
| 619 |
rPt1 = hJet_pt1 + (hJet_pt1-hJet_genPt1)*res1
|
| 620 |
rE0 = hJet_e0*rPt0/hJet_pt0
|
| 621 |
rE1 = hJet_e1*rPt1/hJet_pt1
|
| 622 |
if applyRegression:
|
| 623 |
hJ0.SetPtEtaPhiE(rPt0,hJet_eta0,hJet_phi0,rE0)
|
| 624 |
hJ1.SetPtEtaPhiE(rPt1,hJet_eta1,hJet_phi1,rE1)
|
| 625 |
hJet_MtArray[0][0] = hJ0.Mt()
|
| 626 |
hJet_MtArray[1][0] = hJ1.Mt()
|
| 627 |
hJet_EtArray[0][0] = hJ0.Et()
|
| 628 |
hJet_EtArray[1][0] = hJ1.Et()
|
| 629 |
for key in regVars:
|
| 630 |
var = regDict[key]
|
| 631 |
if key == 'Jet_pt' or key == 'Jet_e' or key == 'hJet_pt' or key == 'hJet_e' or key == 'Jet_ptRaw' or key =='VHbb::evalEt(hJet_pt,hJet_eta,hJet_phi,hJet_e)' or key =='VHbb::evalMt(hJet_pt,hJet_eta,hJet_phi,hJet_e)' or key == 'VHbb::evalJERBias(hJet_ptRaw,hJet_genPt,hJet_eta)':
|
| 632 |
if key == 'Jet_ptRaw':
|
| 633 |
hJet_ptRawArray[0][0] = hJet_ptRaw0*corrRes0*rPt0/hJet_pt0
|
| 634 |
hJet_ptRawArray[1][0] = hJet_ptRaw1*rPt1/hJet_pt1
|
| 635 |
elif key == 'VHbb::evalJERBias(hJet_ptRaw,hJet_genPt,hJet_eta)':
|
| 636 |
theVars0[key][0] = hJet_ptRaw0*corrRes0*rPt0/hJet_pt0
|
| 637 |
theVars1[key][0] = hJet_ptRaw1*rPt1/hJet_pt1
|
| 638 |
elif key == 'Jet_pt' or key == 'hJet_pt':
|
| 639 |
theVars0[key][0] = rPt0
|
| 640 |
theVars1[key][0] = rPt1
|
| 641 |
elif key == 'Jet_e' or key == 'hJet_e':
|
| 642 |
theVars0[key][0] = rE0
|
| 643 |
theVars1[key][0] = rE1
|
| 644 |
elif key == 'VHbb::evalEt(hJet_pt,hJet_eta,hJet_phi,hJet_e)':
|
| 645 |
theVars0[key][0] = hJ0.Et()
|
| 646 |
theVars1[key][0] = hJ1.Et()
|
| 647 |
elif key == 'VHbb::evalMt(hJet_pt,hJet_eta,hJet_phi,hJet_e)':
|
| 648 |
theVars0[key][0] = hJ0.Mt()
|
| 649 |
theVars1[key][0] = hJ1.Mt()
|
| 650 |
rPt0 = max(0.0001,readerJet0.EvaluateRegression( "jet0Regression" )[0])
|
| 651 |
rPt1 = max(0.0001,readerJet1.EvaluateRegression( "jet1Regression" )[0])
|
| 652 |
rE0 = hJet_e0*rPt0/hJet_pt0
|
| 653 |
rE1 = hJet_e1*rPt1/hJet_pt1
|
| 654 |
hJ0.SetPtEtaPhiE(rPt0,hJet_eta0,hJet_phi0,rE0)
|
| 655 |
hJ1.SetPtEtaPhiE(rPt1,hJet_eta1,hJet_phi1,rE1)
|
| 656 |
#Set
|
| 657 |
if updown == 'up':
|
| 658 |
hJet_pt_JER_up[0]=rPt0
|
| 659 |
hJet_pt_JER_up[1]=rPt1
|
| 660 |
hJet_e_JER_up[0]=rE0
|
| 661 |
hJet_e_JER_up[1]=rE1
|
| 662 |
H_JER[0]=(hJ0+hJ1).M()
|
| 663 |
H_JER[2]=(hJ0+hJ1).Pt()
|
| 664 |
HVMass_JER_up[0] = (hJ0+hJ1+vect).M()
|
| 665 |
if updown == 'down':
|
| 666 |
hJet_pt_JER_down[0]=rPt0
|
| 667 |
hJet_pt_JER_down[1]=rPt1
|
| 668 |
hJet_e_JER_down[0]=rE0
|
| 669 |
hJet_e_JER_down[1]=rE1
|
| 670 |
H_JER[1]=(hJ0+hJ1).M()
|
| 671 |
H_JER[3]=(hJ0+hJ1).Pt()
|
| 672 |
HVMass_JER_down[0] = (hJ0+hJ1+vect).M()
|
| 673 |
|
| 674 |
#JES
|
| 675 |
if updown == 'up':
|
| 676 |
variation=1
|
| 677 |
if updown == 'down':
|
| 678 |
variation=-1
|
| 679 |
#calculate
|
| 680 |
rPt0 = hJet_pt0*(1+variation*hJet_JECUnc0)
|
| 681 |
rPt1 = hJet_pt1*(1+variation*hJet_JECUnc1)
|
| 682 |
rE0 = hJet_e0*(1+variation*hJet_JECUnc0)
|
| 683 |
rE1 = hJet_e1*(1+variation*hJet_JECUnc1)
|
| 684 |
#print 'res %s: %s' %(updown,rPt0)
|
| 685 |
if applyRegression:
|
| 686 |
hJ0.SetPtEtaPhiE(rPt0,hJet_eta0,hJet_phi0,rE0)
|
| 687 |
hJ1.SetPtEtaPhiE(rPt1,hJet_eta1,hJet_phi1,rE1)
|
| 688 |
hJet_MtArray[0][0] = hJ0.Mt()
|
| 689 |
hJet_MtArray[1][0] = hJ1.Mt()
|
| 690 |
hJet_EtArray[0][0] = hJ0.Et()
|
| 691 |
hJet_EtArray[1][0] = hJ1.Et()
|
| 692 |
for key in regVars:
|
| 693 |
var = regDict[key]
|
| 694 |
if key == 'Jet_pt' or key == 'Jet_e' or key == 'hJet_pt' or key == 'hJet_e' or key == 'Jet_ptRaw' or key =='VHbb::evalEt(hJet_pt,hJet_eta,hJet_phi,hJet_e)' or key =='VHbb::evalMt(hJet_pt,hJet_eta,hJet_phi,hJet_e)' or key == 'VHbb::evalJERBias(hJet_ptRaw,hJet_genPt,hJet_eta)':
|
| 695 |
if key == 'Jet_ptRaw':
|
| 696 |
hJet_ptRawArray[0][0] = hJet_ptRaw0*(1+variation*hJet_JECUnc0)
|
| 697 |
hJet_ptRawArray[1][0] = hJet_ptRaw1*(1+variation*hJet_JECUnc1)
|
| 698 |
elif key == 'VHbb::evalJERBias(hJet_ptRaw,hJet_genPt,hJet_eta)':
|
| 699 |
theVars0[key][0] = hJet_ptRaw0*(1+variation*hJet_JECUnc0)
|
| 700 |
theVars1[key][0] = hJet_ptRaw1*(1+variation*hJet_JECUnc1)
|
| 701 |
elif var == 'Jet_pt' or var == 'hJet_pt[0]' or var == 'hJet_pt[1]' :
|
| 702 |
theVars0[key][0] = rPt0
|
| 703 |
theVars1[key][0] = rPt1
|
| 704 |
elif var == 'Jet_e' or var == 'hJet_e':
|
| 705 |
theVars0[key][0] = rE0
|
| 706 |
theVars1[key][0] = rE1
|
| 707 |
elif var == 'hJet_e':
|
| 708 |
theVars0[key][0] = rE0
|
| 709 |
theVars1[key][0] = rE1
|
| 710 |
elif key == 'VHbb::evalEt(hJet_pt,hJet_eta,hJet_phi,hJet_e)':
|
| 711 |
theVars0[key][0] = hJ0.Et()
|
| 712 |
theVars1[key][0] = hJ1.Et()
|
| 713 |
elif key == 'VHbb::evalMt(hJet_pt,hJet_eta,hJet_phi,hJet_e)':
|
| 714 |
theVars0[key][0] = hJ0.Mt()
|
| 715 |
theVars1[key][0] = hJ1.Mt()
|
| 716 |
rPt0 = max(0.0001,readerJet0.EvaluateRegression( "jet0Regression" )[0])
|
| 717 |
rPt1 = max(0.0001,readerJet1.EvaluateRegression( "jet1Regression" )[0])
|
| 718 |
#print 'JES reg: %s' %rPt0
|
| 719 |
rE0 = hJet_e0*rPt0/hJet_pt0
|
| 720 |
rE1 = hJet_e1*rPt1/hJet_pt1
|
| 721 |
hJ0.SetPtEtaPhiE(rPt0,hJet_eta0,hJet_phi0,rE0)
|
| 722 |
hJ1.SetPtEtaPhiE(rPt1,hJet_eta1,hJet_phi1,rE1)
|
| 723 |
#Fill
|
| 724 |
if updown == 'up':
|
| 725 |
hJet_pt_JES_up[0]=rPt0
|
| 726 |
hJet_pt_JES_up[1]=rPt1
|
| 727 |
hJet_e_JES_up[0]=rE0
|
| 728 |
hJet_e_JES_up[1]=rE1
|
| 729 |
H_JES[0]=(hJ0+hJ1).M()
|
| 730 |
H_JES[2]=(hJ0+hJ1).Pt()
|
| 731 |
HVMass_JES_up[0] = (hJ0+hJ1+vect).M()
|
| 732 |
if updown == 'down':
|
| 733 |
hJet_pt_JES_down[0]=rPt0
|
| 734 |
hJet_pt_JES_down[1]=rPt1
|
| 735 |
hJet_e_JES_down[0]=rE0
|
| 736 |
hJet_e_JES_down[1]=rE1
|
| 737 |
H_JES[1]=(hJ0+hJ1).M()
|
| 738 |
H_JES[3]=(hJ0+hJ1).Pt()
|
| 739 |
HVMass_JES_down[0] = (hJ0+hJ1+vect).M()
|
| 740 |
|
| 741 |
angleHB_JER_up[0]=fAngleHB_JER_up.EvalInstance()
|
| 742 |
angleHB_JER_down[0]=fAngleHB_JER_down.EvalInstance()
|
| 743 |
angleHB_JES_up[0]=fAngleHB_JES_up.EvalInstance()
|
| 744 |
angleHB_JES_down[0]=fAngleHB_JES_down.EvalInstance()
|
| 745 |
angleZZS[0]=fAngleZZS.EvalInstance()
|
| 746 |
angleZZS_JER_up[0]=fAngleZZS_JER_up.EvalInstance()
|
| 747 |
angleZZS_JER_down[0]=fAngleZZS_JER_down.EvalInstance()
|
| 748 |
angleZZS_JES_up[0]=fAngleZZS_JES_up.EvalInstance()
|
| 749 |
angleZZS_JES_down[0]=fAngleZZS_JES_down.EvalInstance()
|
| 750 |
|
| 751 |
newtree.Fill()
|
| 752 |
|
| 753 |
print 'Exit loop'
|
| 754 |
newtree.AutoSave()
|
| 755 |
print 'Save'
|
| 756 |
output.Close()
|
| 757 |
print 'Close'
|
| 758 |
targetStorage = pathOUT.replace('gsidcap://t3se01.psi.ch:22128/','srm://t3se01.psi.ch:8443/srm/managerv2?SFN=')+'/'+job.prefix+job.identifier+'.root'
|
| 759 |
command = 'lcg-del -b -D srmv2 -l %s' %(targetStorage)
|
| 760 |
print(command)
|
| 761 |
subprocess.call([command], shell=True)
|
| 762 |
command = 'lcg-cp -b -D srmv2 file:///%s %s' %(tmpDir+'/'+job.prefix+job.identifier+'.root',targetStorage)
|
| 763 |
print(command)
|
| 764 |
subprocess.call([command], shell=True)
|
