def rounded(self):
"report rounded val +/- stat +/- syst"
is_data = not self.has_tot_err and not self.has_stat_err
if is_data:
return "%d"%self.value
else:
max_err = max([self.syst_err, self.stat_err])
min_err = min([v for v in [self.syst_err, self.stat_err] if v!=0.0])
err = min_err # not sure whether we want to round on max or min
value, _ = pdgRound(self.value, err)
stat_err, _ = pdgRound(self.stat_err, err)
syst_err, _ = pdgRound(self.syst_err, err)
return "%s +/- %s +/- %s"%(value, stat_err, syst_err)
def computeAndPlotHfSf2d(fileIter, fileHf, lepton, variable_name, outdir) :
eff_da = fileIter.Get(lepton+'_corHFRate_eta')
eff_mc = buildRate(fileHf, lepton+'_fakeHF_all_l_pt_eta')
ratio = buildRatioHistogram(eff_da, eff_mc)
ratio.Print()
xAx, yAx = ratio.GetXaxis(), ratio.GetYaxis()
print ratio.GetName(),": bins (%d, %d)"%(ratio.GetNbinsX(), ratio.GetNbinsY())
nEtaBins = yAx.GetNbins()
print 'nEtaBins: ',nEtaBins
xMin, xMax = xAx.GetXmin(), xAx.GetXmax()
fitFunc = r.TF1('fit_func_const_'+ratio.GetName(), '[0]', xMin, xMax)
etaBins = range(1, 1+nEtaBins)
slices = [ratio.ProjectionX("%s_bin%d"%(ratio.GetName(), b), b, b, 'e') for b in etaBins]
for b, s in zip(etaBins, slices) :
s.SetTitle(lepton+" data/mc heavyflavor : eta bin %d"%b)
s.Fit(fitFunc.GetName(), '0RQ') # do not draw, range, quiet
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "bin %d : %s +/- %s"%(b, p0, p0Err)
can = r.TCanvas('')
s.Draw('ep')
fitFunc.Draw('same')
tex = r.TLatex()
tex.SetNDC(True)
fitParLabel = "Const. fit : %s #pm %s"%(p0, p0Err)
fitGoodLabel = "#chi^{2}/DOF : %.2f / %d"%(chi2, ndf)
tex.SetTextSize(yAx.GetTitleSize())
tex.SetTextFont(yAx.GetTitleFont())
tex.DrawLatex(0.15, 0.45, s.GetTitle())
tex.DrawLatex(0.15, 0.40, "#splitline{%s}{%s}"%(fitParLabel, fitGoodLabel))
can.Update()
for ext in ['eps','png'] : can.SaveAs(outdir+'/fit_'+lepton+"_heavyflavor_etabin%d.%s"%(b, ext))
return p0
def computeAndPlotConvSf(fileData, fileMc, lepton, variable_name, outdir):
"Electron conversion: simplest case, just data/mc"
eff_da = buildRate(fileData, lepton + '_fakeConv_' + variable_name)
eff_mc = buildRate(fileMc, lepton + '_fakeConv_' + variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s fake conv : %s +/- %s" % (lepton, p0, p0Err)
graphics = {
'xtitle': xTitle(lepton, variable_name),
'ytitle': lepton + ' p(tight | fake conv)',
'colors': {
'data': r.kBlack,
'mc': mcColor(lepton)
},
'markers': {
'data': r.kFullCircle,
'mc': mcMarker(lepton)
},
'labels': {
'data': 'Data: Conversion CR',
'mc': 'MC Comb: Conv CR'
}
}
plotHistRatioAndFit({
'data': eff_da,
'mc': eff_mc
}, ratio, fitFunc, outdir + lepton + '_fakeconv', graphics)
def computeAndPlotRealSf(file_data, file_mc, lepton, variable_name, outdir):
"Scale factor from the real control region, Z tag and probe"
eff_da = buildSideBandSubRate(file_data, lepton, variable_name)
eff_mc = buildSideBandSubRate(file_mc, lepton, variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s real : %s +/- %s" % (lepton, p0, p0Err)
graphics = {
'xtitle': xTitle(lepton, variable_name),
'ytitle': lepton + ' p(tight | real)',
'colors': {
'data': r.kBlack,
'mc': mcColor(lepton)
},
'markers': {
'data': r.kFullCircle,
'mc': mcMarker(lepton)
},
'labels': {
'data': 'Data: Z Tag and Probe',
'mc': 'MC Comb: Z Tag and Probe'
}
}
plotHistRatioAndFit({
'data': eff_da,
'mc': eff_mc
}, ratio, fitFunc, outdir + lepton + '_real', graphics)
def computeAndPlotHfSf(fileIter, fileHf, lepton, variable_name, outdir):
"HF tag and probe; in this case we need to subract out the contamination"
eff_da = fileIter.Get(lepton + '_corHFRate')
eff_mc = buildRate(fileHf, lepton + '_fakeHF_' + variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s fake HF : %s +/- %s" % (lepton, p0, p0Err)
graphics = {
'xtitle': xTitle(lepton, variable_name),
'ytitle': lepton + ' p(tight | fake hf)',
'colors': {
'data': r.kBlack,
'mc': mcColor(lepton)
},
'markers': {
'data': r.kFullCircle,
'mc': mcMarker(lepton)
},
'labels': {
'data': 'Data HF Tag and Probe (Iterative Subtraction)',
'mc': 'b#bar{b}/c#bar{c} MC: HF Tag and Probe'
}
}
plotHistRatioAndFit({
'data': eff_da,
'mc': eff_mc
}, ratio, fitFunc, outdir + lepton + '_fakehf', graphics)
def plotHistRatioAndFit(histos, ratio, fitfunc, outfname, graphics_attributes={}) :
can = r.TCanvas('can_'+outfname, outfname, 800, 600)
botPad, topPad = buildBotTopPads(can, splitFraction=0.35)
can.cd()
topPad.Draw()
topPad.cd()
pm = first(histos)
pm.Draw('axis')
xAx, yAx = pm.GetXaxis(), pm.GetYaxis()
xAx.SetTitle('')
xAx.SetLabelSize(0)
yAx.SetRangeUser(0.0, 1.2)
yAx.SetNdivisions(505) # for some reason some of the inputs are already ratios with -201
textScaleUp = 1.0/topPad.GetHNDC()
yAx.SetLabelSize(textScaleUp*0.04)
yAx.SetTitleSize(textScaleUp*0.04)
yAx.SetTitle(graphics_attributes['ytitle'])
yAx.SetTitleOffset(yAx.GetTitleOffset()/textScaleUp)
for k, h in histos.iteritems() :
h.SetMarkerStyle(graphics_attributes['markers'][k])
h.SetMarkerColor(graphics_attributes['colors'][k])
h.SetLineColor(graphics_attributes['colors'][k])
h.Draw('same')
labels = graphics_attributes['labels']
drawLegendWithDictKeys(topPad, dict([(labels[s], histos[s]) for s in histos.keys()]), legWidth=0.4)
can.cd()
botPad.Draw()
botPad.cd()
ratio.Draw('axis')
textScaleUp = 1.0/botPad.GetHNDC()
xAx, yAx = ratio.GetXaxis(), ratio.GetYaxis()
yAx.SetRangeUser(0.0, 2.0)
xAx.SetTitle(graphics_attributes['xtitle'])
yAx.SetNdivisions(-202)
yAx.SetTitle('Data/Sim')
yAx.CenterTitle()
for a in [xAx, yAx] :
if a.GetLabelSize()>0.04 : continue
a.SetLabelSize(a.GetLabelSize()*textScaleUp)
a.SetTitleSize(a.GetTitleSize()*textScaleUp)
a.SetTitleOffset(a.GetTitleOffset()/textScaleUp)
ratio.SetMarkerStyle(graphics_attributes['markers']['data'])
fitfunc.SetLineWidth(2)
fitfunc.SetLineStyle(2)
fitfunc.Draw('same')
ratio.Draw('same')
tex = r.TLatex()
tex.SetNDC(True)
p0, p0Err, chi2, ndf = fitResults(fitfunc)
fitParLabel = "Const. fit : %s #pm %s"%(pdgRound(p0, p0Err))
fitGoodLabel = "#chi^{2}/DOF : %.2f / %d"%(chi2, ndf)
tex.SetTextSize(yAx.GetTitleSize())
tex.SetTextFont(yAx.GetTitleFont())
tex.DrawLatex(0.15, 0.40, "#splitline{%s}{%s}"%(fitParLabel, fitGoodLabel))
can.Update()
outfname = outfname+'.png'
rmIfExists(outfname) # avoid root warnings
can.SaveAs(outfname)
def computeAndPlotHfSf(fileIter, fileHf, lepton, variable_name, outdir) :
"HF tag and probe; in this case we need to subract out the contamination"
eff_da = fileIter.Get(lepton+'_corHFRate')
eff_mc = buildRate(fileHf, lepton+'_fakeHF_'+variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s fake HF : %s +/- %s"%(lepton, p0, p0Err)
graphics = {'xtitle' : xTitle(lepton, variable_name),
'ytitle' : lepton+' p(tight | fake hf)',
'colors' : {'data' : r.kBlack, 'mc' : mcColor(lepton)},
'markers': {'data' : r.kFullCircle, 'mc' : mcMarker(lepton)},
'labels' : {'data' : 'Data HF Tag and Probe (Iterative Subtraction)',
'mc' : 'b#bar{b}/c#bar{c} MC: HF Tag and Probe'}}
plotHistRatioAndFit({'data':eff_da, 'mc':eff_mc}, ratio, fitFunc, outdir+lepton+'_fakehf',
graphics)
def computeAndPlotConvSf(fileData, fileMc, lepton, variable_name, outdir) :
"Electron conversion: simplest case, just data/mc"
eff_da = buildRate(fileData, lepton+'_fakeConv_'+variable_name)
eff_mc = buildRate(fileMc, lepton+'_fakeConv_'+variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s fake conv : %s +/- %s"%(lepton, p0, p0Err)
graphics = {'xtitle' : xTitle(lepton, variable_name),
'ytitle' : lepton+' p(tight | fake conv)',
'colors' : {'data' : r.kBlack, 'mc' : mcColor(lepton)},
'markers': {'data' : r.kFullCircle, 'mc' : mcMarker(lepton)},
'labels' : {'data' : 'Data: Conversion CR',
'mc' : 'MC Comb: Conv CR'}}
plotHistRatioAndFit({'data':eff_da, 'mc':eff_mc}, ratio, fitFunc, outdir+lepton+'_fakeconv',
graphics)
def computeAndPlotRealSf(file_data, file_mc, lepton, variable_name, outdir) :
"Scale factor from the real control region, Z tag and probe"
eff_da = buildSideBandSubRate(file_data, lepton, variable_name)
eff_mc = buildSideBandSubRate(file_mc, lepton, variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s real : %s +/- %s"%(lepton, p0, p0Err)
graphics = {'xtitle' : xTitle(lepton, variable_name),
'ytitle' : lepton+' p(tight | real)',
'colors' : {'data' : r.kBlack, 'mc' : mcColor(lepton)},
'markers': {'data' : r.kFullCircle, 'mc' : mcMarker(lepton)},
'labels' : {'data' : 'Data: Z Tag and Probe',
'mc' : 'MC Comb: Z Tag and Probe'}}
plotHistRatioAndFit({'data':eff_da, 'mc':eff_mc}, ratio, fitFunc, outdir+lepton+'_real',
graphics)
def computeAndPlotConvSf(fileData, fileMc, lepton, variable_name, outdir, outfile=None) :
"Electron conversion: simplest case, just data/mc"
eff_da = buildRate(fileData, lepton+'_fakeConv_'+variable_name)
eff_mc = buildRate(fileMc, lepton+'_fakeConv_'+variable_name)
ratio = buildRatioHistogram(eff_da, eff_mc)
print ratio.GetName(),' : ',["%.3f"%ratio.GetBinContent(b) for b in range(1, 1+ratio.GetNbinsX())]
fitFunc = fitWithConst(ratio)
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "SF for %s fake conv : %s +/- %s"%(lepton, p0, p0Err)
graphics = {'xtitle' : xTitle(lepton, variable_name),
'ytitle' : lepton+' p(tight | fake conv)',
'colors' : {'data' : r.kBlack, 'mc' : mcColor(lepton)},
'markers': {'data' : r.kFullCircle, 'mc' : mcMarker(lepton)},
'labels' : {'data' : 'Data: Conversion CR',
'mc' : 'MC Comb: Conv CR'}}
plotHistRatioAndFit({'data':eff_da, 'mc':eff_mc}, ratio, fitFunc, outdir+'/fit_'+lepton+'_conv', graphics)
if outfile : saveObject(outfile, ratio, 'elec_convSF_pt')
return p0
def computeAndPlotConvSf2d(fileData, fileMc, lepton, variable_name, outdir) :
"Electron conversion: simplest case, just data/mc"
histoname = 'elec_fakeConv_all_l_pt_eta'
eff_da = buildRate(fileData, histoname)
eff_mc = buildRate(fileMc, histoname)
print 'SF conversion: using histo ',histoname
ratio = buildRatioHistogram(eff_da, eff_mc)
ratio.Print()
xAx, yAx = ratio.GetXaxis(), ratio.GetYaxis()
#pt_eta : check that x is pt, y is eta
nEtaBins = yAx.GetNbins()
xMin, xMax = xAx.GetXmin(), xAx.GetXmax()
fitFunc = r.TF1('fit_func_const_'+ratio.GetName(), '[0]', xMin, xMax)
etaBins = range(1, 1+nEtaBins)
slices = [ratio.ProjectionX("%s_bin%d"%(ratio.GetName(), b), b, b, 'e') for b in etaBins]
for b, s in zip(etaBins, slices) :
s.SetTitle("data/mc conversion : eta bin %d"%b)
s.Fit(fitFunc.GetName(), '0RQ') # do not draw, range, quiet
p0, p0Err, chi2, ndf = fitResults(fitFunc)
p0, p0Err = pdgRound(p0, p0Err)
print "bin %d : %s +/- %s"%(b, p0, p0Err)
can = r.TCanvas('')
s.Draw('ep')
fitFunc.Draw('same')
tex = r.TLatex()
tex.SetNDC(True)
fitParLabel = "Const. fit : %s #pm %s"%(p0, p0Err)
fitGoodLabel = "#chi^{2}/DOF : %.2f / %d"%(chi2, ndf)
tex.SetTextSize(yAx.GetTitleSize())
tex.SetTextFont(yAx.GetTitleFont())
tex.DrawLatex(0.15, 0.45, s.GetTitle())
tex.DrawLatex(0.15, 0.40, "#splitline{%s}{%s}"%(fitParLabel, fitGoodLabel))
can.Update()
for ext in ['eps','png'] : can.SaveAs(outdir+"/fit_el_conv_etabin%d.%s"%(b, ext))
# graphics = {'xtitle' : xTitle(lepton, variable_name),
# 'ytitle' : lepton+' p(tight | fake conv)',
# 'colors' : {'data' : r.kBlack, 'mc' : mcColor(lepton)},
# 'markers': {'data' : r.kFullCircle, 'mc' : mcMarker(lepton)},
# 'labels' : {'data' : 'Data: Conversion CR',
# 'mc' : 'MC Comb: Conv CR'}}
# plotHistRatioAndFit({'data':eff_da, 'mc':eff_mc}, ratio, fitFunc, outdir+lepton+'_fakeconv',
# graphics)
return p0
def plotHistRatioAndFit(histos,
ratio,
fitfunc,
outfname,
graphics_attributes={}):
can = r.TCanvas('can_' + outfname, outfname, 800, 600)
botPad, topPad = buildBotTopPads(can, splitFraction=0.35)
can.cd()
topPad.Draw()
topPad.cd()
pm = first(histos)
pm.Draw('axis')
xAx, yAx = pm.GetXaxis(), pm.GetYaxis()
xAx.SetTitle('')
xAx.SetLabelSize(0)
yAx.SetRangeUser(0.0, 1.2)
yAx.SetNdivisions(
505) # for some reason some of the inputs are already ratios with -201
textScaleUp = 1.0 / topPad.GetHNDC()
yAx.SetLabelSize(textScaleUp * 0.04)
yAx.SetTitleSize(textScaleUp * 0.04)
yAx.SetTitle(graphics_attributes['ytitle'])
yAx.SetTitleOffset(yAx.GetTitleOffset() / textScaleUp)
for k, h in histos.iteritems():
h.SetMarkerStyle(graphics_attributes['markers'][k])
h.SetMarkerColor(graphics_attributes['colors'][k])
h.SetLineColor(graphics_attributes['colors'][k])
h.Draw('same')
labels = graphics_attributes['labels']
drawLegendWithDictKeys(topPad,
dict([(labels[s], histos[s])
for s in histos.keys()]),
legWidth=0.4)
can.cd()
botPad.Draw()
botPad.cd()
ratio.Draw('axis')
textScaleUp = 1.0 / botPad.GetHNDC()
xAx, yAx = ratio.GetXaxis(), ratio.GetYaxis()
yAx.SetRangeUser(0.0, 2.0)
xAx.SetTitle(graphics_attributes['xtitle'])
yAx.SetNdivisions(-202)
yAx.SetTitle('Data/Sim')
yAx.CenterTitle()
for a in [xAx, yAx]:
if a.GetLabelSize() > 0.04: continue
a.SetLabelSize(a.GetLabelSize() * textScaleUp)
a.SetTitleSize(a.GetTitleSize() * textScaleUp)
a.SetTitleOffset(a.GetTitleOffset() / textScaleUp)
ratio.SetMarkerStyle(graphics_attributes['markers']['data'])
fitfunc.SetLineWidth(2)
fitfunc.SetLineStyle(2)
fitfunc.Draw('same')
ratio.Draw('same')
tex = r.TLatex()
tex.SetNDC(True)
p0, p0Err, chi2, ndf = fitResults(fitfunc)
fitParLabel = "Const. fit : %s #pm %s" % (pdgRound(p0, p0Err))
fitGoodLabel = "#chi^{2}/DOF : %.2f / %d" % (chi2, ndf)
tex.SetTextSize(yAx.GetTitleSize())
tex.SetTextFont(yAx.GetTitleFont())
tex.DrawLatex(0.15, 0.40,
"#splitline{%s}{%s}" % (fitParLabel, fitGoodLabel))
can.Update()
outfname = outfname + '.png'
rmIfExists(outfname) # avoid root warnings
can.SaveAs(outfname)
