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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 sys,ROOT
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ROOT.gROOT.SetBatch(True)
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from array import array
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from optparse import OptionParser
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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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return total
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argv = sys.argv
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parser = OptionParser()
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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
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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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prefix = config.get('LHEWeights','prefix')
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newprefix = config.get('LHEWeights','newprefix')
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inclusive = config.get('LHEWeights','inclusive')
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files = eval(config.get('LHEWeights','fileList'))
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lheBin = eval(config.get('LHEWeights','lheBin'))
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fileList = []
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for file in files:
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new_entry = [prefix+file,files[file],[]]
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if file == inclusive:
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fileList.insert(0, new_entry)
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else:
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fileList.append(new_entry)
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print fileList
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print lheBin
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def get_weights(fileList,lheBin):
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for file in fileList:
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#file.append( 1 )
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#continue
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print file
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infile = ROOT.TFile(file[0],"READ")
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tree = infile.Get('tree')
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for bin in lheBin:
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file[2].append( float(tree.GetEntries(bin)) )
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count = infile.Get('CountWithPU')
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file.append( count.GetBinContent(1) )
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infile.Close()
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del tree
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CountIncl = fileList[0][3]
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print fileList
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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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#weight.append(1.)
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#continue
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total.append(getTotal(bin, fileList))
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#print lheBin[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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else:
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weight.append(1.)
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weight_map = {}
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for bin in range(0, len(lheBin) ):
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print '%s: %.2f' %(lheBin[bin], weight[bin])
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weight_map[lheBin[bin]] = weight[bin]
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return weight_map
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def apply_weights(fileList,weight_map,inclusive,newprefix):
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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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outfile = ROOT.TFile(newprefix+file[0],'RECREATE')
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infile = ROOT.TFile(file[0],"READ")
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histoInfile = ROOT.TFile(inclusive,"READ")
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histoInfile.cd()
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obj = ROOT.TObject
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for key in ROOT.gDirectory.GetListOfKeys():
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histoInfile.cd()
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obj = key.ReadObj()
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#print obj.GetName()
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if obj.GetName() == 'tree':
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continue
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outfile.cd()
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#print key.GetName()
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obj.Write(key.GetName())
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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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theBinForms = {}
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for bin in weight_map:
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theBinForms[bin] = ROOT.TTreeFormula("Bin_formula_%s"%(bin),bin,tree)
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for entry in range(0,nEntries):
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tree.GetEntry(entry)
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match_bin = None
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for bin in weight_map:
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if theBinForms[bin].EvalInstance() > 0.:
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match_bin = bin
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if match_bin:
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lheWeight[0] = weight_map[match_bin]
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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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infile.Close()
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del tree
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del newtree
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def do_validation(fileList,inclusive,newprefix):
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histo = ROOT.TH1F("lheV_pt","lheV_pt",300,0,300)
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histo1 = ROOT.TH1F("lheV_ptInc","lheV_ptInc",300,0,300)
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for file in fileList:
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h_name=((newprefix+file[0]).split("."))[-2]
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print h_name
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tfile = ROOT.TFile.Open(newprefix+file[0],"read")
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tree = tfile.Get("tree")
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h_tmp = ROOT.TH1F(h_name,h_name,300,0,300)
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ROOT.gDirectory.ls()
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tree.Draw("lheV_pt>>"+str(h_name),"(lheWeight)*(lheV_pt < 300.)","goff")
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if inclusive in file[0]:
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h_tmp1 = ROOT.TH1F(h_name+'Inc',h_name+'Inc',300,0,300)
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tree.Draw("lheV_pt>>"+str(h_name+'Inc'),"(lheV_pt < 300.)","goff")
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histo1.Add(h_tmp1)
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histo.Add(h_tmp)
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canvas = ROOT.TCanvas("lheV_pt","lheV_pt",600,600)
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ROOT.gPad.SetLogy()
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histo.Draw()
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histo1.Draw('SAME')
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print histo.Integral(180,300)
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print histo1.Integral(180,300)
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histo1.SetLineColor(ROOT.kRed)
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canvas.Print("validation_lheV_pt.pdf","pdf")
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weight_map = get_weights(fileList,lheBin)
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config.set('LHEWeights', 'weights_per_bin', '%s' %weight_map)
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f = open('lheWeights', 'w')
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config.write(f)
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f.close()
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apply_weights(fileList,weight_map,prefix+inclusive,newprefix)
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do_validation(fileList,inclusive,newprefix)
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