| 1 |
peller |
1.1 |
import ROOT
|
| 2 |
nmohr |
1.3 |
ROOT.gROOT.SetBatch(True)
|
| 3 |
peller |
1.1 |
import sys,os
|
| 4 |
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from BetterConfigParser import BetterConfigParser
|
| 5 |
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import TdrStyles
|
| 6 |
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from Ratio import getRatio
|
| 7 |
peller |
1.4 |
from HistoMaker import HistoMaker
|
| 8 |
peller |
1.1 |
|
| 9 |
|
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class StackMaker:
|
| 10 |
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def __init__(self, config, var,region,SignalRegion):
|
| 11 |
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section='Plot:%s'%region
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| 12 |
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self.var = var
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| 13 |
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self.SignalRegion=SignalRegion
|
| 14 |
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self.normalize = eval(config.get(section,'Normalize'))
|
| 15 |
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self.log = eval(config.get(section,'log'))
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| 16 |
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if config.has_option('plotDef:%s'%var,'log') and not self.log:
|
| 17 |
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self.log = eval(config.get('plotDef:%s'%var,'log'))
|
| 18 |
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self.blind = eval(config.get(section,'blind'))
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| 19 |
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self.setup=config.get('Plot_general','setup')
|
| 20 |
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if self.log:
|
| 21 |
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self.setup=config.get('Plot_general','setupLog')
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| 22 |
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self.setup=self.setup.split(',')
|
| 23 |
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if not SignalRegion: self.setup.remove('ZH')
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| 24 |
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self.rebin = 1
|
| 25 |
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if config.has_option(section,'rebin'):
|
| 26 |
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self.rebin = eval(config.get(section,'rebin'))
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| 27 |
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if config.has_option(section,'nBins'):
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| 28 |
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self.nBins = int(eval(config.get(section,'nBins'))/self.rebin)
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| 29 |
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else:
|
| 30 |
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self.nBins = int(eval(config.get('plotDef:%s'%var,'nBins'))/self.rebin)
|
| 31 |
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print self.nBins
|
| 32 |
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if config.has_option(section,'min'):
|
| 33 |
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self.xMin = eval(config.get(section,'min'))
|
| 34 |
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else:
|
| 35 |
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self.xMin = eval(config.get('plotDef:%s'%var,'min'))
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| 36 |
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if config.has_option(section,'max'):
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| 37 |
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self.xMax = eval(config.get(section,'max'))
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| 38 |
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else:
|
| 39 |
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self.xMax = eval(config.get('plotDef:%s'%var,'max'))
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| 40 |
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self.name = config.get('plotDef:%s'%var,'relPath')
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| 41 |
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self.mass = config.get(section,'Signal')
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| 42 |
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data = config.get(section,'Datas')
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| 43 |
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if '<mass>' in self.name:
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| 44 |
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self.name = self.name.replace('<mass>',self.mass)
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| 45 |
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print self.name
|
| 46 |
nmohr |
1.2 |
cut = config.get('Cuts',region)
|
| 47 |
peller |
1.1 |
if config.has_option(section, 'Datacut'):
|
| 48 |
nmohr |
1.2 |
cut=config.get(section, 'Datacut')
|
| 49 |
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|
| 50 |
peller |
1.1 |
self.colorDict=eval(config.get('Plot_general','colorDict'))
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| 51 |
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self.typLegendDict=eval(config.get('Plot_general','typLegendDict'))
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| 52 |
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self.anaTag = config.get("Analysis","tag")
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| 53 |
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self.xAxis = config.get('plotDef:%s'%var,'xAxis')
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| 54 |
nmohr |
1.5 |
self.options = {'var': self.name,'name':'','xAxis': self.xAxis, 'nBins': self.nBins, 'xMin': self.xMin, 'xMax': self.xMax,'pdfName': '%s_%s_%s.pdf'%(region,var,self.mass),'cut':cut,'mass': self.mass, 'data': data, 'blind': self.blind}
|
| 55 |
nmohr |
1.2 |
self.options['weight'] = config.get('Weights','weightF')
|
| 56 |
peller |
1.1 |
self.plotDir = config.get('Directories','plotpath')
|
| 57 |
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self.maxRatioUncert = 0.5
|
| 58 |
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if self.SignalRegion:
|
| 59 |
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self.maxRatioUncert = 1000.
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| 60 |
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self.config = config
|
| 61 |
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self.datas = None
|
| 62 |
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self.datatyps = None
|
| 63 |
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self.overlay = None
|
| 64 |
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self.lumi = None
|
| 65 |
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self.histos = None
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| 66 |
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self.typs = None
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| 67 |
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self.AddErrors = None
|
| 68 |
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print self.setup
|
| 69 |
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|
| 70 |
nmohr |
1.2 |
@staticmethod
|
| 71 |
|
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def myText(txt="CMS Preliminary",ndcX=0,ndcY=0,size=0.8):
|
| 72 |
peller |
1.1 |
ROOT.gPad.Update()
|
| 73 |
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text = ROOT.TLatex()
|
| 74 |
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text.SetNDC()
|
| 75 |
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text.SetTextColor(ROOT.kBlack)
|
| 76 |
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text.SetTextSize(text.GetTextSize()*size)
|
| 77 |
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text.DrawLatex(ndcX,ndcY,txt)
|
| 78 |
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return text
|
| 79 |
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| 80 |
nmohr |
1.6 |
def doCompPlot(self,aStack,l):
|
| 81 |
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c = ROOT.TCanvas(self.var+'Comp','',600,600)
|
| 82 |
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c.SetFillStyle(4000)
|
| 83 |
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c.SetFrameFillStyle(1000)
|
| 84 |
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c.SetFrameFillColor(0)
|
| 85 |
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k=len(self.histos)
|
| 86 |
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l.Clear()
|
| 87 |
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maximum = 0.
|
| 88 |
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for j in range(0,k):
|
| 89 |
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#print histos[j].GetBinContent(1)
|
| 90 |
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i=k-j-1
|
| 91 |
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self.histos[i].SetLineColor(int(self.colorDict[self.typs[i]]))
|
| 92 |
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self.histos[i].SetFillColor(0)
|
| 93 |
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self.histos[i].SetLineWidth(3)
|
| 94 |
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if self.histos[i].Integral() > 0.:
|
| 95 |
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self.histos[i].Scale(1./self.histos[i].Integral())
|
| 96 |
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if self.histos[i].GetMaximum() > maximum:
|
| 97 |
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maximum = self.histos[i].GetMaximum()
|
| 98 |
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l.AddEntry(self.histos[j],self.typLegendDict[self.typs[j]],'l')
|
| 99 |
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aStack.SetMinimum(0.)
|
| 100 |
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aStack.SetMaximum(maximum*1.5)
|
| 101 |
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aStack.GetXaxis().SetTitle(self.xAxis)
|
| 102 |
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aStack.Draw('HISTNOSTACK')
|
| 103 |
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if self.overlay:
|
| 104 |
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if self.overlay.Integral() > 0.:
|
| 105 |
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self.overlay.Scale(1./self.overlay.Integral())
|
| 106 |
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self.overlay.Draw('hist,same')
|
| 107 |
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l.AddEntry(self.overlay,self.typLegendDict['Overlay'],'L')
|
| 108 |
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l.Draw()
|
| 109 |
|
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name = '%s/comp_%s' %(self.plotDir,self.options['pdfName'])
|
| 110 |
|
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c.Print(name)
|
| 111 |
peller |
1.1 |
|
| 112 |
|
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def doPlot(self):
|
| 113 |
|
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TdrStyles.tdrStyle()
|
| 114 |
peller |
1.4 |
histo_dict = HistoMaker.orderandadd([{self.typs[i]:self.histos[i]} for i in range(len(self.histos))],self.setup)
|
| 115 |
|
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#sort
|
| 116 |
|
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self.histos=[histo_dict[key] for key in self.setup]
|
| 117 |
|
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self.typs=self.setup
|
| 118 |
peller |
1.1 |
|
| 119 |
|
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c = ROOT.TCanvas(self.var,'', 600, 600)
|
| 120 |
|
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c.SetFillStyle(4000)
|
| 121 |
|
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c.SetFrameFillStyle(1000)
|
| 122 |
|
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c.SetFrameFillColor(0)
|
| 123 |
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|
| 124 |
|
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oben = ROOT.TPad('oben','oben',0,0.3 ,1.0,1.0)
|
| 125 |
|
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oben.SetBottomMargin(0)
|
| 126 |
|
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oben.SetFillStyle(4000)
|
| 127 |
|
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oben.SetFrameFillStyle(1000)
|
| 128 |
|
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oben.SetFrameFillColor(0)
|
| 129 |
|
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unten = ROOT.TPad('unten','unten',0,0.0,1.0,0.3)
|
| 130 |
|
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unten.SetTopMargin(0.)
|
| 131 |
|
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unten.SetBottomMargin(0.35)
|
| 132 |
|
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unten.SetFillStyle(4000)
|
| 133 |
|
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unten.SetFrameFillStyle(1000)
|
| 134 |
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unten.SetFrameFillColor(0)
|
| 135 |
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|
| 136 |
|
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oben.Draw()
|
| 137 |
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unten.Draw()
|
| 138 |
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|
| 139 |
|
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oben.cd()
|
| 140 |
|
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allStack = ROOT.THStack(self.var,'')
|
| 141 |
|
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l = ROOT.TLegend(0.63, 0.55,0.92,0.92)
|
| 142 |
|
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l.SetLineWidth(2)
|
| 143 |
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l.SetBorderSize(0)
|
| 144 |
|
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l.SetFillColor(0)
|
| 145 |
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l.SetFillStyle(4000)
|
| 146 |
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l.SetTextFont(62)
|
| 147 |
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l.SetTextSize(0.035)
|
| 148 |
|
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MC_integral=0
|
| 149 |
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MC_entries=0
|
| 150 |
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|
| 151 |
|
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for histo in self.histos:
|
| 152 |
|
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MC_integral+=histo.Integral()
|
| 153 |
|
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print "\033[1;32m\n\tMC integral = %s\033[1;m"%MC_integral
|
| 154 |
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|
| 155 |
|
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#ORDER AND ADD TOGETHER
|
| 156 |
|
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#print typs
|
| 157 |
|
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#print setup
|
| 158 |
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|
| 159 |
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| 160 |
|
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if not 'DYc' in self.typs: self.typLegendDict.update({'DYlight':self.typLegendDict['DYlc']})
|
| 161 |
|
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print self.typLegendDict
|
| 162 |
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| 163 |
|
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k=len(self.histos)
|
| 164 |
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| 165 |
|
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for j in range(0,k):
|
| 166 |
|
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#print histos[j].GetBinContent(1)
|
| 167 |
|
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i=k-j-1
|
| 168 |
|
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self.histos[i].SetFillColor(int(self.colorDict[self.typs[i]]))
|
| 169 |
|
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self.histos[i].SetLineColor(1)
|
| 170 |
|
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allStack.Add(self.histos[i])
|
| 171 |
|
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|
| 172 |
|
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d1 = ROOT.TH1F('noData','noData',self.nBins,self.xMin,self.xMax)
|
| 173 |
|
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datatitle='Data'
|
| 174 |
|
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addFlag = ''
|
| 175 |
|
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if 'Zee' in self.datanames and 'Zmm' in self.datanames:
|
| 176 |
|
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addFlag = 'Z(l^{-}l^{+})H(b#bar{b})'
|
| 177 |
|
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elif 'Zee' in self.datanames:
|
| 178 |
|
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addFlag = 'Z(e^{-}e^{+})H(b#bar{b})'
|
| 179 |
|
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elif 'Zmm' in self.datanames:
|
| 180 |
|
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addFlag = 'Z(#mu^{-}#mu^{+})H(b#bar{b})'
|
| 181 |
|
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elif 'Znn' in self.datanames:
|
| 182 |
|
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addFlag = 'Z(#nu#nu)H(b#bar{b})'
|
| 183 |
|
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elif 'Wmn' in self.datanames:
|
| 184 |
|
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addFlag = 'W(#mu#nu)H(b#bar{b})'
|
| 185 |
|
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elif 'Wen' in self.datanames:
|
| 186 |
|
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addFlag = 'W(e#nu)H(b#bar{b})'
|
| 187 |
|
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for i in range(0,len(self.datas)):
|
| 188 |
|
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d1.Add(self.datas[i],1)
|
| 189 |
|
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print "\033[1;32m\n\tDATA integral = %s\033[1;m"%d1.Integral()
|
| 190 |
|
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flow = d1.GetEntries()-d1.Integral()
|
| 191 |
|
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if flow > 0:
|
| 192 |
|
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print "\033[1;31m\tU/O flow: %s\033[1;m"%flow
|
| 193 |
|
|
|
| 194 |
|
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if self.overlay:
|
| 195 |
|
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self.overlay.SetLineColor(2)
|
| 196 |
|
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self.overlay.SetLineWidth(2)
|
| 197 |
|
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self.overlay.SetFillColor(0)
|
| 198 |
|
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self.overlay.SetFillStyle(4000)
|
| 199 |
|
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self.overlay.SetNameTitle('Overlay','Overlay')
|
| 200 |
|
|
|
| 201 |
|
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l.AddEntry(d1,datatitle,'P')
|
| 202 |
|
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for j in range(0,k):
|
| 203 |
|
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l.AddEntry(self.histos[j],self.typLegendDict[self.typs[j]],'F')
|
| 204 |
|
|
if self.overlay:
|
| 205 |
|
|
l.AddEntry(self.overlay,self.typLegendDict['Overlay'],'L')
|
| 206 |
|
|
|
| 207 |
|
|
if self.normalize:
|
| 208 |
|
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if MC_integral != 0: stackscale=d1.Integral()/MC_integral
|
| 209 |
|
|
if self.overlay:
|
| 210 |
|
|
self.overlay.Scale(stackscale)
|
| 211 |
|
|
stackhists=allStack.GetHists()
|
| 212 |
|
|
for blabla in stackhists:
|
| 213 |
|
|
if MC_integral != 0: blabla.Scale(stackscale)
|
| 214 |
|
|
|
| 215 |
|
|
#if self.SignalRegion:
|
| 216 |
|
|
# allMC=allStack.GetStack().At(allStack.GetStack().GetLast()-1).Clone()
|
| 217 |
|
|
#else:
|
| 218 |
|
|
allMC=allStack.GetStack().Last().Clone()
|
| 219 |
|
|
|
| 220 |
|
|
allStack.SetTitle()
|
| 221 |
|
|
allStack.Draw("hist")
|
| 222 |
|
|
allStack.GetXaxis().SetTitle('')
|
| 223 |
|
|
yTitle = 'Entries'
|
| 224 |
|
|
if not '/' in yTitle:
|
| 225 |
|
|
yAppend = '%.2f' %(allStack.GetXaxis().GetBinWidth(1))
|
| 226 |
|
|
yTitle = '%s / %s' %(yTitle, yAppend)
|
| 227 |
|
|
allStack.GetYaxis().SetTitle(yTitle)
|
| 228 |
|
|
allStack.GetXaxis().SetRangeUser(self.xMin,self.xMax)
|
| 229 |
|
|
allStack.GetYaxis().SetRangeUser(0,20000)
|
| 230 |
|
|
theErrorGraph = ROOT.TGraphErrors(allMC)
|
| 231 |
|
|
theErrorGraph.SetFillColor(ROOT.kGray+3)
|
| 232 |
|
|
theErrorGraph.SetFillStyle(3013)
|
| 233 |
|
|
theErrorGraph.Draw('SAME2')
|
| 234 |
|
|
l.AddEntry(theErrorGraph,"MC uncert. (stat.)","fl")
|
| 235 |
|
|
Ymax = max(allStack.GetMaximum(),d1.GetMaximum())*1.7
|
| 236 |
|
|
if self.log:
|
| 237 |
|
|
allStack.SetMinimum(0.1)
|
| 238 |
|
|
Ymax = Ymax*ROOT.TMath.Power(10,1.2*(ROOT.TMath.Log(1.2*(Ymax/0.1))/ROOT.TMath.Log(10)))*(0.2*0.1)
|
| 239 |
|
|
ROOT.gPad.SetLogy()
|
| 240 |
|
|
allStack.SetMaximum(Ymax)
|
| 241 |
|
|
c.Update()
|
| 242 |
|
|
ROOT.gPad.SetTicks(1,1)
|
| 243 |
|
|
#allStack.Draw("hist")
|
| 244 |
|
|
l.SetFillColor(0)
|
| 245 |
|
|
l.SetBorderSize(0)
|
| 246 |
|
|
|
| 247 |
|
|
if self.overlay:
|
| 248 |
|
|
self.overlay.Draw('hist,same')
|
| 249 |
|
|
d1.Draw("E,same")
|
| 250 |
|
|
l.Draw()
|
| 251 |
|
|
|
| 252 |
|
|
tPrel = self.myText("CMS Preliminary",0.17,0.88,1.04)
|
| 253 |
|
|
tLumi = self.myText("#sqrt{s} = %s, L = %s fb^{-1}"%(self.anaTag,(float(self.lumi)/1000.)),0.17,0.83)
|
| 254 |
|
|
tAddFlag = self.myText(addFlag,0.17,0.78)
|
| 255 |
|
|
|
| 256 |
|
|
unten.cd()
|
| 257 |
|
|
ROOT.gPad.SetTicks(1,1)
|
| 258 |
|
|
|
| 259 |
|
|
l2 = ROOT.TLegend(0.5, 0.82,0.92,0.95)
|
| 260 |
|
|
l2.SetLineWidth(2)
|
| 261 |
|
|
l2.SetBorderSize(0)
|
| 262 |
|
|
l2.SetFillColor(0)
|
| 263 |
|
|
l2.SetFillStyle(4000)
|
| 264 |
|
|
l2.SetTextFont(62)
|
| 265 |
|
|
#l2.SetTextSize(0.035)
|
| 266 |
|
|
l2.SetNColumns(2)
|
| 267 |
|
|
|
| 268 |
|
|
|
| 269 |
|
|
ratio, error = getRatio(d1,allMC,self.xMin,self.xMax,"",self.maxRatioUncert)
|
| 270 |
|
|
ksScore = d1.KolmogorovTest( allMC )
|
| 271 |
|
|
chiScore = d1.Chi2Test( allMC , "UWCHI2/NDF")
|
| 272 |
|
|
print ksScore
|
| 273 |
|
|
print chiScore
|
| 274 |
|
|
ratio.SetStats(0)
|
| 275 |
|
|
ratio.GetXaxis().SetTitle(self.xAxis)
|
| 276 |
|
|
ratioError = ROOT.TGraphErrors(error)
|
| 277 |
|
|
ratioError.SetFillColor(ROOT.kGray+3)
|
| 278 |
|
|
ratioError.SetFillStyle(3013)
|
| 279 |
|
|
ratio.Draw("E1")
|
| 280 |
|
|
|
| 281 |
|
|
|
| 282 |
|
|
|
| 283 |
|
|
if not self.AddErrors == None:
|
| 284 |
|
|
self.AddErrors.SetFillColor(5)
|
| 285 |
|
|
self.AddErrors.SetFillStyle(1001)
|
| 286 |
|
|
self.AddErrors.Draw('SAME2')
|
| 287 |
|
|
|
| 288 |
|
|
l2.AddEntry(self.AddErrors,"MC uncert. (stat. + syst.)","f")
|
| 289 |
|
|
|
| 290 |
|
|
#ksScore = d1.KolmogorovTest( self.AddErrors )
|
| 291 |
|
|
#chiScore = d1.Chi2Test( self.AddErrors , "UWCHI2/NDF")
|
| 292 |
|
|
|
| 293 |
|
|
|
| 294 |
|
|
l2.AddEntry(ratioError,"MC uncert. (stat.)","f")
|
| 295 |
|
|
|
| 296 |
|
|
l2.Draw()
|
| 297 |
|
|
|
| 298 |
|
|
ratioError.Draw('SAME2')
|
| 299 |
|
|
ratio.Draw("E1SAME")
|
| 300 |
|
|
ratio.SetTitle("")
|
| 301 |
|
|
m_one_line = ROOT.TLine(self.xMin,1,self.xMax,1)
|
| 302 |
|
|
m_one_line.SetLineStyle(ROOT.kDashed)
|
| 303 |
|
|
m_one_line.Draw("Same")
|
| 304 |
|
|
|
| 305 |
|
|
if not self.blind:
|
| 306 |
|
|
tKsChi = self.myText("#chi_{#nu}^{2} = %.3f K_{s} = %.3f"%(chiScore,ksScore),0.17,0.9,1.5)
|
| 307 |
|
|
t0 = ROOT.TText()
|
| 308 |
|
|
t0.SetTextSize(ROOT.gStyle.GetLabelSize()*2.4)
|
| 309 |
|
|
t0.SetTextFont(ROOT.gStyle.GetLabelFont())
|
| 310 |
|
|
if not self.log:
|
| 311 |
|
|
t0.DrawTextNDC(0.1059,0.96, "0")
|
| 312 |
|
|
if not os.path.exists(self.plotDir):
|
| 313 |
|
|
os.makedirs(os.path.dirname(self.plotDir))
|
| 314 |
nmohr |
1.2 |
name = '%s/%s' %(self.plotDir,self.options['pdfName'])
|
| 315 |
peller |
1.1 |
c.Print(name)
|
| 316 |
nmohr |
1.6 |
self.doCompPlot(allStack,l)
|
