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#!/afs/cern.ch/cms/slc5_amd64_gcc434/cms/cmssw/CMSSW_4_2_8/external/slc5_amd64_gcc434/bin/python2.6
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import ROOT
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from array import array
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def getObj( infile, name ):
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infile.cd()
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for key in ROOT.gDirectory.GetListOfKeys():
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obj = key.ReadObj()
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print obj.GetName()
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if obj.GetName() == name:
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return obj;
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def updateEventArray( tree, lheBin, N ):
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for bin in lheBin:
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print bin
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N.append( (bin, 1.*tree.GetEntries(bin) ) )
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return N
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def getTotal( bin, fileList ):
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total = 0.
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for i in range(0,len(fileList)):
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total = total + fileList[i][2][bin]
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#print total[bin]
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return total
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inc = []
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j1 = []
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j2 = []
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j3 = []
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j4 = []
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pt5070 = []
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pt70100 = []
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pt100 = []
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ht200400 = []
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ht400 = []
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prefix='DiJetPt_'
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fileList = [ [prefix+'DYJetsToLL_M-50_TuneZ2Star_8TeV-madgraph-tarball.root' , 2950.0, inc ] ,
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[prefix+'DYJetsToLL_PtZ-50To70_TuneZ2star_8TeV-madgraph-tarball.root' , 93.8, pt5070 ],
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[prefix+'DYJetsToLL_PtZ-70To100_TuneZ2star_8TeV-madgraph-tarball.root' , 52.31, pt70100 ],
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[prefix+'DYJetsToLL_PtZ-100_TuneZ2star_8TeV-madgraph.root' , 34.1, pt100 ],
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[prefix+'DY1JetsToLL_M-50_TuneZ2Star_8TeV-madgraph.root' , 561.0, j1 ] ,
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[prefix+'DY2JetsToLL_M-50_TuneZ2Star_8TeV-madgraph.root' , 181.0, j2 ] ,
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# [prefix+'DY4JetsToLL_M-50_TuneZ2Star_8TeV-madgraph.root' , 51.1, j3 ] , # not ready in 53X
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[prefix+'DY4JetsToLL_M-50_TuneZ2Star_8TeV-madgraph.root' , 23.04, j4 ] ]
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#look here https://www.evernote.com/shard/s186/sh/8ffc289c-ede2-4e09-83ba-1e1981f13617/4d5aac2f42a9fd480dc66f9303c1c217
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lheBin = ['lheV_pt < 50 & lheNj == 0',
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'lheV_pt > 50 & lheV_pt < 70 & lheNj == 0',
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'lheV_pt > 70 & lheV_pt < 100 & lheNj == 0',
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'lheV_pt > 100 & lheNj == 0',
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'lheV_pt < 50 & lheNj == 1',
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'lheV_pt > 50 & lheV_pt < 70 & lheNj == 1',
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'lheV_pt > 70 & lheV_pt < 100 & lheNj == 1',
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'lheV_pt > 100 & lheNj == 1',
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'lheV_pt < 50 & lheNj == 2',
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'lheV_pt > 50 & lheV_pt < 70 & lheNj == 2',
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'lheV_pt > 70 & lheV_pt < 100 & lheNj == 2',
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'lheV_pt > 100 & lheNj == 2',
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'lheV_pt < 50 & lheNj == 3',
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'lheV_pt > 50 & lheV_pt < 70 & lheNj == 3',
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'lheV_pt > 70 & lheV_pt < 100 & lheNj == 3',
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'lheV_pt > 100 & lheNj == 3',
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'lheV_pt < 50 & lheNj == 4',
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'lheV_pt > 50 & lheV_pt < 70 & lheNj == 4',
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'lheV_pt > 70 & lheV_pt < 100 & lheNj == 4',
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'lheV_pt > 100 & lheNj == 4' ]
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eventList = {}
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num = []
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for file in fileList:
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print file
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infile = ROOT.TFile(file[0],"READ")
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tree = getObj(infile, 'tree')
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for bin in lheBin:
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print bin
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file[2].append( 1.*tree.GetEntries(bin) )
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# file[2] = updateEventArray( tree, lheBin, file[2] )
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count = getObj( infile, 'CountWithPU' )
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file.append( count.GetBinContent(1) )
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print fileList
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CountIncl = fileList[0][3]
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print fileList
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#print num[fileList[1]]
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#total -> total numer of events in each lheBin
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print 'Calculating total'
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total = []
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weight= []
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for bin in range(0, len(lheBin) ):
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total.append(getTotal(bin, fileList))
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print bin
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#to better stich we need the highest stat (that should correspond to the binned sample relative to the bin)
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fileList.sort( key=lambda file: file[2][bin], reverse=True )
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print 'After sorting'
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print fileList
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if total[bin] > 0.:
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#the first is always the one with the highest N in the bin:
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weight.append( (fileList[0][1]/fileList[0][3]) * (CountIncl/2950.0) * fileList[0][2][bin]/total[bin] )
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print weight[bin]
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else:
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weight.append(1.)
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print weight
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#now add the branch with the weight normalized to the inclusive
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for file in fileList:
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infile = ROOT.TFile(file[0],"READ")
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outfile = ROOT.TFile('lheWeight.'+file[0],'RECREATE')
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infile.cd()
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tree = infile.Get('tree')
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outfile.cd()
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newtree = tree.CloneTree(0)
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lheWeight = array('f',[0])
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newtree.Branch('lheWeight',lheWeight,'lheWeight/F')
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nEntries = tree.GetEntries()
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for entry in range(0,nEntries):
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tree.GetEntry(entry)
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if tree.lheV_pt < 50 and tree.lheNj == 0:
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lheWeight[0] = weight[0]
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elif tree.lheV_pt > 50 and tree.lheV_pt < 70 and tree.lheNj == 0:
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lheWeight[0] = weight[1]
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elif tree.lheV_pt > 70 and tree.lheV_pt < 100 and tree.lheNj == 0:
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lheWeight[0] = weight[2]
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elif tree.lheV_pt > 100 and tree.lheNj == 0:
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lheWeight[0] = weight[3]
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elif tree.lheV_pt < 50 and tree.lheNj == 1:
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lheWeight[0] = weight[4]
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elif tree.lheV_pt > 50 and tree.lheV_pt < 70 and tree.lheNj == 1:
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lheWeight[0] = weight[5]
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elif tree.lheV_pt > 70 and tree.lheV_pt < 100 and tree.lheNj == 1:
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lheWeight[0] = weight[6]
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elif tree.lheV_pt > 100 and tree.lheNj == 1:
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lheWeight[0] = weight[7]
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elif tree.lheV_pt < 50 and tree.lheNj == 2:
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lheWeight[0] = weight[8]
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elif tree.lheV_pt > 50 and tree.lheV_pt < 70 and tree.lheNj == 2:
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lheWeight[0] = weight[9]
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elif tree.lheV_pt > 70 and tree.lheV_pt < 100 and tree.lheNj == 2:
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lheWeight[0] = weight[10]
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elif tree.lheV_pt > 100 and tree.lheNj == 2:
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lheWeight[0] = weight[11]
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elif tree.lheV_pt < 50 and tree.lheNj == 3:
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lheWeight[0] = weight[12]
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elif tree.lheV_pt > 50 and tree.lheV_pt < 70 and tree.lheNj == 3:
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lheWeight[0] = weight[13]
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elif tree.lheV_pt > 70 and tree.lheV_pt < 100 and tree.lheNj == 3:
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lheWeight[0] = weight[14]
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elif tree.lheV_pt > 100 and tree.lheNj == 3:
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lheWeight[0] = weight[15]
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elif tree.lheV_pt < 50 and tree.lheNj == 4:
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lheWeight[0] = weight[16]
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elif tree.lheV_pt > 50 and tree.lheV_pt < 70 and tree.lheNj == 4:
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lheWeight[0] = weight[17]
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elif tree.lheV_pt > 70 and tree.lheV_pt < 100 and tree.lheNj == 4:
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lheWeight[0] = weight[18]
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elif tree.lheV_pt > 100 and tree.lheNj == 4:
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lheWeight[0] = weight[19]
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else:
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lheWeight[0] = 1.
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newtree.Fill()
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newtree.AutoSave()
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outfile.Write()
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outfile.Close()
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