def MakePlots(ev, var, cutmc, cutdata, xtitle, nbins, xlow, xup):
hZH = TH1F("ZH" , "", nbins, xlow, xup)
hWH = TH1F("WH" , "", nbins, xlow, xup)
hWj0b = TH1F("Wj0b" , "", nbins, xlow, xup)
hWj1b = TH1F("Wj1b" , "", nbins, xlow, xup)
hWj2b = TH1F("Wj2b" , "", nbins, xlow, xup)
hZj0b = TH1F("Zj0b" , "", nbins, xlow, xup)
hZj1b = TH1F("Zj1b" , "", nbins, xlow, xup)
hZj2b = TH1F("Zj2b" , "", nbins, xlow, xup)
hTT = TH1F("TT" , "", nbins, xlow, xup)
hs_Top = TH1F("s_Top" , "", nbins, xlow, xup)
hVVLF = TH1F("VVLF" , "", nbins, xlow, xup)
hVVHF = TH1F("VVHF" , "", nbins, xlow, xup)
hQCD = TH1F("QCD" , "", nbins, xlow, xup)
hVH = TH1F("VH" , "", nbins, xlow, xup)
hVV = TH1F("VV" , "", nbins, xlow, xup)
hmc_exp = TH1F("mc_exp" , "", nbins, xlow, xup)
hdata_obs = TH1F("data_obs" , "", nbins, xlow, xup)
#ev.ZH.Project("ZH", var, cutmc.GetTitle())
#ev.WH.Project("WH", var, cutmc.GetTitle())
# Apply slope
WJSlopeErr = 0.0020
ZJSlopeErr = 0.0025
WJSlope = -0.50
ZJSlope = -1.00
cutwjslope = TCut("apply_pt_slope(genW.pt, %f, 150)" % (WJSlope * WJSlopeErr))
cutzjslope = TCut("apply_pt_slope(genZ.pt, %f, 130)" % (ZJSlope * ZJSlopeErr))
# Apply scale factors
scalefactors = (0.930, 2.124, 0.700, 1.175, 2.135, 1.125, 0.991)
cutsf = TCut("%f" % scalefactors[0])
ev.Wj0b.Project("Wj0b", var, (cutmc * cutsf * cutwjslope).GetTitle())
cutsf = TCut("%f" % scalefactors[1])
ev.Wj1b.Project("Wj1b", var, (cutmc * cutsf * cutwjslope).GetTitle())
cutsf = TCut("%f" % scalefactors[2])
ev.Wj2b.Project("Wj2b", var, (cutmc * cutsf * cutwjslope).GetTitle())
cutsf = TCut("%f" % scalefactors[3])
#ev.Zj0b.Project("Zj0b", var, (cutmc * cutsf * cutzjslope).GetTitle())
cutsf = TCut("%f" % scalefactors[4])
#ev.Zj1b.Project("Zj1b", var, (cutmc * cutsf * cutzjslope).GetTitle())
cutsf = TCut("%f" % scalefactors[5])
#ev.Zj2b.Project("Zj2b", var, (cutmc * cutsf * cutzjslope).GetTitle())
cutsf = TCut("%f" % scalefactors[6])
ev.TT.Project("TT", var, (cutmc * cutsf).GetTitle())
ev.s_Top.Project("s_Top", var, cutmc.GetTitle())
ev.VVLF.Project("VVLF", var, cutmc.GetTitle())
ev.VVHF.Project("VVHF", var, cutmc.GetTitle())
# Apply QCD scale factor
scalefactorQCD = 0.005
cutsf = TCut("%f" % scalefactorQCD)
#ev.QCD.Project("QCD", var, (cutmc * cutsf).GetTitle())
ev.data_obs.Project("data_obs", var, cutdata.GetTitle())
hVH.Add(hZH)
hVH.Add(hWH)
hVV.Add(hVVLF)
hVV.Add(hVVHF)
hmc_exp.Add(hWj0b)
hmc_exp.Add(hWj1b)
hmc_exp.Add(hWj2b)
hmc_exp.Add(hZj0b)
hmc_exp.Add(hZj1b)
hmc_exp.Add(hZj2b)
hmc_exp.Add(hTT)
hmc_exp.Add(hs_Top)
hmc_exp.Add(hVV)
hmc_exp.Add(hQCD)
if True:
print "MakePlots(): Setting up histograms..."
# Setup canvas and pads
c1 = TCanvas("c1", "c1", 700, 700)
#c1 = TCanvas("c1", "c1", 600, 600)
pad1 = TPad("pad1", "top pad" , 0.0, 0.3, 1.0, 1.0)
pad1.SetBottomMargin(0.0)
pad1.Draw()
pad2 = TPad("pad2", "bottom pad", 0.0, 0.0, 1.0, 0.3)
pad2.SetTopMargin(0.0)
pad2.SetBottomMargin(0.35)
pad2.Draw()
pad1.cd()
pad1.SetLogy(plotLog)
# Setup histogram styles and stack the histograms.
setHisto(hVH, "VH")
setHisto(hZH, "VH")
setHisto(hWH, "VH")
setHisto(hWj0b, "WjLF")
setHisto(hWj1b, "WjHFc")
setHisto(hWj2b, "WjHFb")
setHisto(hZj0b, "ZjLF")
setHisto(hZj1b, "ZjHFc")
setHisto(hZj2b, "ZjHFb")
setHisto(hTT, "TT")
setHisto(hs_Top, "s_Top")
setHisto(hVV, "VV")
setHisto(hVVLF, "VV")
setHisto(hVVHF, "VVHF")
setHisto(hQCD, "QCD")
hdata_plot = hdata_obs.Clone("hdata_plot") # blinded plot
hmc_test = hmc_exp.Clone("hmc_test") # for chi2 and KS test
hdata_plot.Sumw2()
hmc_test.Sumw2()
nbins_plot = hdata_plot.GetNbinsX()
assert(nbins_plot == hmc_test.GetNbinsX())
if not plotData: # be blind to the most sensitive bins
for i in xrange(max(int(nbins_plot*0.75), nbins_plot-5),nbins_plot+2):
hdata_plot.SetBinContent(i, 0.)
hdata_plot.SetBinError(i, 0.)
hmc_test.SetBinContent(i, 0.)
hmc_test.SetBinError(i, 0.)
setHisto(hdata_plot, "data_obs")
print "MakePlots(): Setting up the stack..."
hs = THStack("hs", "")
#ifndef VVBDTANALYSIS
hs.Add(hVV)
#else
#hs.Add(hVVLF)
#hs.Add(hVVHF) // FIXME: should be plotted as signal?
#endif
hs.Add(hQCD)
hs.Add(hs_Top)
hs.Add(hTT)
hs.Add(hWj0b)
hs.Add(hWj1b)
hs.Add(hWj2b)
hs.Add(hZj0b)
hs.Add(hZj1b)
hs.Add(hZj2b)
if plotSig:
#ifdef VVBDTANALYSIS
#hs.Add(hVVHF)
#endif
hs.Add(hVH)
ymax = max(hdata_plot.GetMaximum(), hs.GetMaximum())
hs.SetMaximum(ymax + ymax / 2.0 + (sqrt(ymax) if ymax>1 else 0))
if plotLog:
hs.SetMaximum(ymax * 200 + (sqrt(ymax) if ymax>1 else 0))
hs.SetMinimum(0.01)
# Setup auxiliary histograms
print "MakePlots(): Setting up auxiliary histograms..."
staterr = hmc_exp.Clone("staterr")
staterr.Sumw2()
staterr.SetFillColor(kRed)
staterr.SetMarkerSize(0)
staterr.SetFillStyle(3013)
ratio = hdata_plot.Clone("ratio")
ratio.Sumw2()
ratio.SetMarkerSize(0.8)
#ratio.SetMarkerSize(0.5)
ratio.Divide(hdata_plot, hmc_exp, 1., 1., "")
ratiostaterr = hmc_exp.Clone("ratiostaterr")
ratiostaterr.Sumw2()
ratiostaterr.SetStats(0)
ratiostaterr.SetTitle("")
ratiostaterr.GetXaxis().SetTitle(xtitle)
ratiostaterr.GetYaxis().SetTitle("Data/MC")
ratiostaterr.SetMaximum(2.2)
ratiostaterr.SetMinimum(0)
ratiostaterr.SetMarkerSize(0)
ratiostaterr.SetFillColor(kRed)
ratiostaterr.SetFillStyle(3013)
#ratiostaterr.SetFillStyle(3001)
ratiostaterr.GetXaxis().CenterTitle()
ratiostaterr.GetXaxis().SetLabelSize(0.12)
ratiostaterr.GetXaxis().SetTitleSize(0.14)
ratiostaterr.GetXaxis().SetTitleOffset(1.10)
ratiostaterr.GetYaxis().CenterTitle()
ratiostaterr.GetYaxis().SetLabelSize(0.10)
ratiostaterr.GetYaxis().SetTitleSize(0.12)
#ratiostaterr.GetYaxis().SetTitleSize(0.10)
ratiostaterr.GetYaxis().SetTitleOffset(0.6)
ratiostaterr.GetYaxis().SetNdivisions(505)
for i in xrange(0, hmc_exp.GetNbinsX()+2):
ratiostaterr.SetBinContent(i, 1.0)
if (hmc_exp.GetBinContent(i) > 1e-6): # use smaller tolerance?
binerror = hmc_exp.GetBinError(i) / hmc_exp.GetBinContent(i)
ratiostaterr.SetBinError(i, binerror)
else:
ratiostaterr.SetBinError(i, 999.)
#if (!(hdata_plot.GetBinContent(i) > 1e-6)):
# ratiostaterr.SetBinError(i, 0.)
ratiosysterr = ratiostaterr.Clone("ratiosysterr")
ratiosysterr.Sumw2()
ratiosysterr.SetMarkerSize(0)
#ratiosysterr.SetFillColor(kBlue)
ratiosysterr.SetFillColor(kYellow-4)
#ratiosysterr.SetFillStyle(3002)
ratiosysterr.SetFillStyle(1001)
for i in xrange(0, hmc_exp.GetNbinsX()+2):
if (hmc_exp.GetBinContent(i) > 1e-6): # use smaller tolerance?
#ifndef VVBDTANALYSIS
binerror2 = (pow(hmc_exp.GetBinError(i), 2) +
pow(0.05 * hWj0b.GetBinContent(i), 2) +
pow(0.25 * hWj1b.GetBinContent(i), 2) +
pow(0.20 * hWj2b.GetBinContent(i), 2) +
pow(0.05 * hZj0b.GetBinContent(i), 2) +
pow(0.15 * hZj1b.GetBinContent(i), 2) +
pow(0.10 * hZj2b.GetBinContent(i), 2) +
pow(0.04 * hTT.GetBinContent(i), 2) +
pow(0.25 * hs_Top.GetBinContent(i), 2) +
#ifndef VVBDTANALYSIS
pow(0.30 * hVV.GetBinContent(i), 2))
#else
#pow(0.30 * hVVLF.GetBinContent(i), 2))
#endif
binerror = sqrt(binerror2) / hmc_exp.GetBinContent(i)
ratiosysterr.SetBinError(i, binerror)
# Setup legends
print "MakePlots(): Setting up legends..."
leg = TLegend(0.72, 0.62, 0.92, 0.92)
leg.SetFillColor(0)
leg.SetLineColor(0)
leg.SetShadowColor(0)
leg.SetTextFont(62)
leg.SetTextSize(0.03)
leg.AddEntry(hdata_plot, "Data", "p")
if plotSig:
leg.AddEntry(hVH, "VH(%i)" % massH, "l")
leg.AddEntry(hZj2b, "Z + b#bar{b}", "f")
leg.AddEntry(hZj1b, "Z + b", "f")
leg.AddEntry(hZj0b, "Z + udscg", "f")
leg.AddEntry(hWj2b, "W + b#bar{b}", "f")
leg.AddEntry(hWj1b, "W + b", "f")
leg.AddEntry(hWj0b, "W + udscg", "f")
leg.AddEntry(hTT, "t#bar{t}", "f")
leg.AddEntry(hs_Top, "single top", "f")
leg.AddEntry(hQCD, "QCD", "f")
#ifndef VVBDTANALYSIS
leg.AddEntry(hVV, "VV", "f")
#else
#leg.AddEntry(hVVHF, "VV(b#bar{b})", "f")
#leg.AddEntry(hVVLF, "VV(udscg)", "f")
#endif
leg.AddEntry(staterr, "MC uncert. (stat)", "fl")
ratioleg1 = TLegend(0.54, 0.86, 0.72, 0.96)
#ratioleg1 = TLegend(0.50, 0.86, 0.69, 0.96)
ratioleg1.AddEntry(ratiostaterr, "MC uncert. (stat)", "f")
ratioleg1.SetFillColor(0)
ratioleg1.SetLineColor(0)
ratioleg1.SetShadowColor(0)
ratioleg1.SetTextFont(62)
ratioleg1.SetTextSize(0.06)
ratioleg1.SetBorderSize(1)
ratioleg2 = TLegend(0.72, 0.86, 0.95, 0.96)
#ratioleg2 = TLegend(0.69, 0.86, 0.9, 0.96)
ratioleg2.AddEntry(ratiosysterr, "MC uncert. (stat+syst)", "f")
ratioleg2.SetFillColor(0)
ratioleg2.SetLineColor(0)
ratioleg2.SetShadowColor(0)
ratioleg2.SetTextFont(62)
ratioleg2.SetTextSize(0.06)
ratioleg2.SetBorderSize(1)
# Draw MC signal and background
print "MakePlots(): Drawing..."
pad1.cd()
if plotLog: pad1.SetLogy()
hs.Draw("hist")
hs.GetXaxis().SetLabelSize(0)
binwidth = (xup - xlow) / nbins_plot
ytitle = "Events / %.3f" % binwidth
hs.GetYaxis().SetTitle(ytitle)
staterr.Draw("e2 same")
if plotSig:
hVH.SetLineWidth(3)
hVH.SetFillColor(0)
hVH.Draw("hist same")
# Draw data
hdata_plot.Draw("e1 same")
# Draw legends
leg.Draw()
latex = TLatex()
latex.SetNDC()
latex.SetTextAlign(12)
latex.SetTextFont(62)
latex.SetTextSize(0.052)
latex.DrawLatex(0.19, 0.89, "CMS Preliminary")
latex.SetTextSize(0.04)
latex.DrawLatex(0.19, 0.84, "#sqrt{s} = 8 TeV, L = 19.0 fb^{-1}")
latex.DrawLatex(0.19, 0.79, "Z(#nu#bar{#nu})H(b#bar{b})")
# Under/overflows a la TMVA
uoflow = "U/O-flow (Data,MC): (%.1f, %.1f) / (%.1f, %.1f)" % (hdata_plot.GetBinContent(0), hmc_exp.GetBinContent(0), hdata_plot.GetBinContent(nbins_plot+1), hmc_exp.GetBinContent(nbins_plot+1))
latex2 = TLatex(0.99, 0.1, uoflow)
latex2.SetNDC()
latex2.SetTextSize(0.02)
latex2.SetTextAngle(90)
latex2.AppendPad()
# Draw ratio
pad2.cd()
pad2.SetGridy(0)
ratiostaterr.Draw("e2")
ratiosysterr.Draw("e2 same")
ratiostaterr.Draw("e2 same")
ratio.Draw("e1 same")
# Draw ratio legends
ratioleg1.Draw()
ratioleg2.Draw()
# Kolmogorov-Smirnov test and Chi2 test
pave = TPaveText(0.18, 0.85, 0.35, 0.96, "brNDC")
pave.SetTextAlign(12)
pave.SetLineColor(0)
pave.SetFillColor(0)
pave.SetShadowColor(0)
pave.SetBorderSize(1)
nchisq = hdata_plot.Chi2Test(hmc_test, "UWCHI2/NDF") # MC uncert. (stat)
kolprob = hdata_plot.KolmogorovTest(hmc_test) # MC uncert. (stat)
text = pave.AddText("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f" % (nchisq, kolprob))
text.SetTextFont(62)
text.SetTextSize(0.06)
pave.Draw()
print "MakePlots(): Printing..."
pad1.cd()
gPad.RedrawAxis()
gPad.Modified()
gPad.Update()
pad2.cd()
gPad.RedrawAxis()
gPad.Modified()
gPad.Update()
c1.cd()
plotname = TString("%s_%s_%s" % (channel, region, var))
FormatFileName(plotname)
gPad.Print(plotdir+plotname.Data()+".png")
gPad.Print(plotdir+plotname.Data()+".pdf")
return 0
def MakePlots(varname, whatfit, options):
if whatfit not in ["prefit", "postfit"]:
raise ValueError("whatfit must be either 'prefit' or 'postfit': %s" % whatfit)
massH = 125
plotData = True
plotLog = True
plotSig = True
plotdir = "./"
kRed = 632
kYellow = 400
kBlue = 600
kGray = 920
if options.doMJJ:
plotLog = False
tfile = TFile.Open(options.outname, "READ")
hZH = tfile.Get(varname+"_"+"ZH_SM"+"_%s" % whatfit)
hWH = tfile.Get(varname+"_"+"WH_SM"+"_%s" % whatfit)
hZbbHinv = tfile.Get(varname+"_"+"ZH"+"_%s" % whatfit)
hWj0b = tfile.Get(varname+"_"+"Wj0b"+"_%s" % whatfit)
hWj1b = tfile.Get(varname+"_"+"Wj1b"+"_%s" % whatfit)
hWj2b = tfile.Get(varname+"_"+"Wj2b"+"_%s" % whatfit)
hZj0b = tfile.Get(varname+"_"+"Zj0b"+"_%s" % whatfit)
hZj1b = tfile.Get(varname+"_"+"Zj1b"+"_%s" % whatfit)
hZj2b = tfile.Get(varname+"_"+"Zj2b"+"_%s" % whatfit)
hTT = tfile.Get(varname+"_"+"TT"+"_%s" % whatfit)
hs_Top = tfile.Get(varname+"_"+"s_Top"+"_%s" % whatfit)
hVVLF = tfile.Get(varname+"_"+"VVLF"+"_%s" % whatfit)
hWZHF = tfile.Get(varname+"_"+"WZ"+"_%s" % whatfit)
hZZHF = tfile.Get(varname+"_"+"ZZ"+"_%s" % whatfit)
hQCD = tfile.Get(varname+"_"+"QCD"+"_%s" % whatfit)
hdata_obs = tfile.Get(varname+"_"+"data_obs")
eZH = tfile.Get(varname+"_"+"ZH_SM"+"_err%s" % whatfit)
eWH = tfile.Get(varname+"_"+"WH_SM"+"_err%s" % whatfit)
eZbbHinv = tfile.Get(varname+"_"+"ZbbHinv"+"_err%s" % whatfit)
eWj0b = tfile.Get(varname+"_"+"Wj0b"+"_err%s" % whatfit)
eWj1b = tfile.Get(varname+"_"+"Wj1b"+"_err%s" % whatfit)
eWj2b = tfile.Get(varname+"_"+"Wj2b"+"_err%s" % whatfit)
eZj0b = tfile.Get(varname+"_"+"Zj0b"+"_err%s" % whatfit)
eZj1b = tfile.Get(varname+"_"+"Zj1b"+"_err%s" % whatfit)
eZj2b = tfile.Get(varname+"_"+"Zj2b"+"_err%s" % whatfit)
eTT = tfile.Get(varname+"_"+"TT"+"_err%s" % whatfit)
es_Top = tfile.Get(varname+"_"+"s_Top"+"_err%s" % whatfit)
eVVLF = tfile.Get(varname+"_"+"VVLF"+"_err%s" % whatfit)
eWZHF = tfile.Get(varname+"_"+"WZ"+"_err%s" % whatfit)
eZZHF = tfile.Get(varname+"_"+"ZZ"+"_err%s" % whatfit)
eQCD = tfile.Get(varname+"_"+"QCD"+"_err%s" % whatfit)
varname = hdata_obs.GetXaxis().GetTitle()
xtitle = "BDT"
if options.doMJJ: xtitle = "m_{T} [GeV]"
nbins = hdata_obs.GetNbinsX()
xlow = hdata_obs.GetXaxis().GetXmin()
xup = hdata_obs.GetXaxis().GetXmax()
hVH = TH1F("VH" , "", nbins, xlow, xup)
hVVHF = TH1F("VVHF" , "", nbins, xlow, xup)
hVV = TH1F("VV" , "", nbins, xlow, xup)
hmc_exp = TH1F("mc_exp" , "", nbins, xlow, xup)
eVH = TH1F("VH"+"_err" , "", nbins, xlow, xup)
eVVHF = TH1F("VVHF"+"_err" , "", nbins, xlow, xup)
eVV = TH1F("VV"+"_err" , "", nbins, xlow, xup)
# Make sum of histograms
hVH.Add(hZH)
hVH.Add(hWH)
eVH.Add(eZH)
eVH.Add(eWH)
hVVHF.Add(hWZHF)
hVVHF.Add(hZZHF)
eVVHF.Add(eWZHF)
eVVHF.Add(eZZHF)
hVV.Add(hVVLF)
hVV.Add(hVVHF)
eVV.Add(eVVLF)
eVV.Add(eVVHF)
hmc_exp.Add(hWj0b)
hmc_exp.Add(hWj1b)
hmc_exp.Add(hWj2b)
hmc_exp.Add(hZj0b)
hmc_exp.Add(hZj1b)
hmc_exp.Add(hZj2b)
hmc_exp.Add(hTT)
hmc_exp.Add(hs_Top)
if not options.doVV:
hmc_exp.Add(hVVLF)
hmc_exp.Add(hVVHF)
hmc_exp.Add(hVH) # VH is counted as background
else:
hmc_exp.Add(hVVLF)
hmc_exp.Add(hVH) # VH is counted as background
hmc_exp.Add(hQCD)
if True:
print "MakePlots(): Setting up histograms..."
# Setup canvas and pads
c1 = TCanvas("c1", "c1", 700, 700)
#c1 = TCanvas("c1", "c1", 600, 600)
pad1 = TPad("pad1", "top pad" , 0.0, 0.3, 1.0, 1.0)
pad1.SetBottomMargin(0.0)
pad1.Draw()
pad2 = TPad("pad2", "bottom pad", 0.0, 0.0, 1.0, 0.3)
pad2.SetTopMargin(0.0)
pad2.SetBottomMargin(0.35)
pad2.Draw()
pad1.cd()
pad1.SetLogy(plotLog)
# Setup histogram styles and stack the histograms.
setHisto(hVH, "VH")
setHisto(hZH, "VH")
setHisto(hWH, "VH")
setHisto(hZbbHinv, "VH_1")
setHisto(hWj0b, "WjLF")
setHisto(hWj1b, "WjHFc")
setHisto(hWj2b, "WjHFb")
setHisto(hZj0b, "ZjLF")
setHisto(hZj1b, "ZjHFc")
setHisto(hZj2b, "ZjHFb")
setHisto(hTT, "TT")
setHisto(hs_Top, "s_Top")
setHisto(hVV, "VV")
setHisto(hVVLF, "VV")
setHisto(hVVHF, "VVHF")
setHisto(hQCD, "QCD")
hdata_test = hdata_obs.Clone("hdata_test") # blinded plot
hmc_test = hmc_exp.Clone("hmc_test") # for chi2 and KS test
hdata_test.Sumw2()
hmc_test.Sumw2()
nbins_plot = hdata_test.GetNbinsX()
assert(nbins_plot == hmc_test.GetNbinsX())
if not plotData: # be blind to the most sensitive bins
if not options.doMJJ:
for i in xrange(max(int(nbins_plot*0.75), nbins_plot-5),nbins_plot+2):
hdata_test.SetBinContent(i, 0.)
hdata_test.SetBinError(i, 0.)
hmc_test.SetBinContent(i, 0.)
hmc_test.SetBinError(i, 0.)
else:
#for i in xrange(hdata_test.FindFixBin(105+1), hdata_test.FindFixBin(150-1)+1):
#for i in xrange(hdata_test.FindFixBin(105+1)-2, hdata_test.FindFixBin(150-1)+1): # hide VV as well
for i in xrange(1, hdata_test.GetNbinsX()+1): # all bins
hdata_test.SetBinContent(i, 0.)
hdata_test.SetBinError(i, 0.)
hmc_test.SetBinContent(i, 0.)
hmc_test.SetBinError(i, 0.)
setHisto(hdata_test, "data_obs")
print "MakePlots(): Setting up the stack..."
hs = THStack("hs", "")
if not options.doVV and not options.doMJJ:
hs.Add(hVVHF)
hs.Add(hVVLF)
elif not options.doMJJ:
hs.Add(hVVLF)
hs.Add(hQCD)
hs.Add(hs_Top)
hs.Add(hTT)
hs.Add(hWj0b)
hs.Add(hWj1b)
hs.Add(hWj2b)
hs.Add(hZj0b)
hs.Add(hZj1b)
hs.Add(hZj2b)
if not options.doVV and not options.doMJJ:
if plotSig: hs.Add(hVH)
if plotSig: hs.Add(hZbbHinv)
elif not options.doMJJ:
hs.Add(hVVHF)
if plotSig: hs.Add(hVH)
if plotSig: hs.Add(hZbbHinv)
if options.doMJJ:
hs.Add(hVVLF)
hs.Add(hVVHF)
if plotSig: hs.Add(hVH)
if plotSig: hs.Add(hZbbHinv)
ymax = max(hdata_test.GetMaximum(), hs.GetMaximum())
hs.SetMaximum(ymax * 1.7 + (sqrt(ymax) if ymax>1 else 0))
if plotLog:
hs.SetMaximum(ymax * 200 + (sqrt(ymax) if ymax>1 else 0))
hs.SetMinimum(0.01)
# Setup auxiliary histograms
print "MakePlots(): Setting up auxiliary histograms..."
staterr = hmc_exp.Clone("staterr")
staterr.Sumw2()
#staterr.SetFillColor(kRed)
staterr.SetFillColor(kGray+3)
staterr.SetMarkerSize(0)
staterr.SetFillStyle(3013)
ratio = hdata_test.Clone("ratio")
ratio.Sumw2()
ratio.SetMarkerSize(0.8)
#ratio.SetMarkerSize(0.5)
ratio.Divide(hdata_test, hmc_exp, 1., 1., "")
ratiostaterr = hmc_exp.Clone("ratiostaterr")
ratiostaterr.Sumw2()
ratiostaterr.SetStats(0)
ratiostaterr.SetTitle("")
#ratiostaterr.GetXaxis().SetTitle(xtitle)
ratiostaterr.SetTitle(";"+xtitle)
ratiostaterr.GetYaxis().SetTitle("Data/MC")
ratiostaterr.SetMaximum(2.2)
ratiostaterr.SetMinimum(0)
ratiostaterr.SetMarkerSize(0)
#ratiostaterr.SetFillColor(kRed)
ratiostaterr.SetFillColor(kGray+3)
ratiostaterr.SetFillStyle(3013)
#ratiostaterr.SetFillStyle(3001)
#ratiostaterr.GetXaxis().CenterTitle()
ratiostaterr.GetXaxis().SetLabelSize(0.12)
ratiostaterr.GetXaxis().SetTitleSize(0.14)
ratiostaterr.GetXaxis().SetTitleOffset(1.10)
ratiostaterr.GetYaxis().CenterTitle()
ratiostaterr.GetYaxis().SetLabelSize(0.10)
ratiostaterr.GetYaxis().SetTitleSize(0.12)
#ratiostaterr.GetYaxis().SetTitleSize(0.10)
ratiostaterr.GetYaxis().SetTitleOffset(0.6)
ratiostaterr.GetYaxis().SetNdivisions(505)
ratiounity = TLine(xlow,1,xup,1)
ratiounity.SetLineStyle(2)
for i in xrange(0, hmc_exp.GetNbinsX()+2):
ratiostaterr.SetBinContent(i, 1.0)
if (hmc_exp.GetBinContent(i) > 1e-6): # use smaller tolerance?
binerror = hmc_exp.GetBinError(i) / hmc_exp.GetBinContent(i)
ratiostaterr.SetBinError(i, binerror)
else:
ratiostaterr.SetBinError(i, 999.)
#if (!(hdata_test.GetBinContent(i) > 1e-6)):
# ratiostaterr.SetBinError(i, 0.)
ratiosysterr = ratiostaterr.Clone("ratiosysterr")
ratiosysterr.Sumw2()
ratiosysterr.SetMarkerSize(0)
#ratiosysterr.SetFillColor(kBlue)
ratiosysterr.SetFillColor(kYellow-4)
#ratiosysterr.SetFillStyle(3002)
ratiosysterr.SetFillStyle(1001)
for i in xrange(1, hmc_exp.GetNbinsX()+1):
if hmc_exp.GetBinContent(i) > 1e-6: # use smaller tolerance?
binerror2 = (pow(hmc_exp.GetBinError(i), 2) +
pow(eWj0b.GetBinContent(i), 2) +
pow(eWj1b.GetBinContent(i), 2) +
pow(eWj2b.GetBinContent(i), 2) +
pow(eZj0b.GetBinContent(i), 2) +
pow(eZj1b.GetBinContent(i), 2) +
pow(eZj2b.GetBinContent(i), 2) +
pow(eTT.GetBinContent(i), 2) +
pow(es_Top.GetBinContent(i), 2))
if not options.doVV:
binerror2 += pow(eVVLF.GetBinContent(i), 2)
binerror2 += pow(eVVHF.GetBinContent(i), 2)
binerror2 += pow(eVH.GetBinContent(i), 2)
else:
binerror2 += pow(eVVLF.GetBinContent(i), 2)
binerror2 += pow(eVH.GetBinContent(i), 2)
binerror = sqrt(binerror2)
ratiosysterr.SetBinError(i, binerror / hmc_exp.GetBinContent(i))
if hmc_test.GetBinContent(i) > 1e-6: # use smaller tolerance?
hmc_test.SetBinError(i, binerror)
if hdata_test.GetBinContent(i) > 1e-6:
hdata_test.SetBinError(i, sqrt(hdata_test.GetBinContent(i)))
# Setup legends
print "MakePlots(): Setting up legends..."
#leg = TLegend(0.74, 0.56, 0.92, 0.92)
#leg.SetFillColor(0)
#leg.SetLineColor(0)
#leg.SetShadowColor(0)
#leg.SetTextFont(62)
#leg.SetTextSize(0.03)
#leg.AddEntry(hdata_test, "Data", "p")
#if plotSig: leg.AddEntry(hVH, "VH(%i)" % massH, "l")
#if plotSig: leg.AddEntry(hZbbHinv, "ZH(inv)", "l")
#if options.doVV:
# leg.AddEntry(hVVHF, "VV(b#bar{b})", "l")
#
#leg.AddEntry(hZj2b, "Z + b#bar{b}", "f")
#leg.AddEntry(hZj1b, "Z + b", "f")
#leg.AddEntry(hZj0b, "Z + udscg", "f")
#leg.AddEntry(hWj2b, "W + b#bar{b}", "f")
#leg.AddEntry(hWj1b, "W + b", "f")
#leg.AddEntry(hWj0b, "W + udscg", "f")
#leg.AddEntry(hTT, "t#bar{t}", "f")
#leg.AddEntry(hs_Top, "single top", "f")
#leg.AddEntry(hQCD, "QCD", "f")
#leg.AddEntry(hVVLF, "VV(udscg)", "f")
#if not options.doVV:
# leg.AddEntry(hVVHF, "VV(b#bar{b})", "f")
#
#leg.AddEntry(staterr, "MC uncert. (stat)", "fl")
#leg1 = TLegend(0.58, 0.68, 0.76, 0.92)
leg1 = TLegend(0.50, 0.60, 0.72, 0.92)
leg1.SetFillColor(0)
leg1.SetLineColor(0)
leg1.SetShadowColor(0)
leg1.SetTextFont(62)
leg1.SetTextSize(0.03)
leg1.AddEntry(hdata_test, "Data", "p")
if plotSig: leg1.AddEntry(hVH, "VH(%i)" % massH, "l")
if plotSig: leg1.AddEntry(hZbbHinv, "ZH(inv)", "l")
if options.doVV:
leg1.AddEntry(hVVHF, "VV(b#bar{b})", "l")
leg1.AddEntry(hTT, "t#bar{t}", "f")
leg1.AddEntry(hs_Top, "single top", "f")
leg1.AddEntry(hQCD, "QCD", "f")
leg1.AddEntry(hVVLF, "VV(udscg)", "f")
if not options.doVV:
leg1.AddEntry(hVVHF, "VZ(b#bar{b})", "f")
#leg2 = TLegend(0.72, 0.60, 0.94, 0.92)
leg2 = TLegend(0.72, 0.60, 0.94, 0.88)
leg2.SetFillColor(0)
leg2.SetLineColor(0)
leg2.SetShadowColor(0)
leg2.SetTextFont(62)
leg2.SetTextSize(0.03)
leg2.AddEntry(hWj2b, "W + b#bar{b}", "f")
leg2.AddEntry(hWj1b, "W + b", "f")
leg2.AddEntry(hWj0b, "W + udscg", "f")
leg2.AddEntry(hZj2b, "Z + b#bar{b}", "f")
leg2.AddEntry(hZj1b, "Z + b", "f")
leg2.AddEntry(hZj0b, "Z + udscg", "f")
leg2.AddEntry(staterr, "MC uncert. (stat)", "f")
ratioleg1 = TLegend(0.54, 0.88, 0.72, 0.96)
#ratioleg1 = TLegend(0.50, 0.86, 0.69, 0.96)
ratioleg1.AddEntry(ratiostaterr, "MC uncert. (stat)", "f")
ratioleg1.SetFillColor(0)
ratioleg1.SetLineColor(0)
ratioleg1.SetShadowColor(0)
ratioleg1.SetTextFont(62)
ratioleg1.SetTextSize(0.06)
ratioleg1.SetBorderSize(1)
ratioleg2 = TLegend(0.72, 0.88, 0.95, 0.96)
#ratioleg2 = TLegend(0.69, 0.86, 0.9, 0.96)
ratioleg2.AddEntry(ratiosysterr, "MC uncert. (stat+syst)", "f")
ratioleg2.SetFillColor(0)
ratioleg2.SetLineColor(0)
ratioleg2.SetShadowColor(0)
ratioleg2.SetTextFont(62)
ratioleg2.SetTextSize(0.06)
ratioleg2.SetBorderSize(1)
#ratioleg1 = TLegend(0.72, 0.88, 0.94, 0.96)
##ratioleg1 = TLegend(0.50, 0.86, 0.69, 0.96)
#ratioleg1.AddEntry(ratiostaterr, "MC uncert. (stat)", "f")
#ratioleg1.SetFillColor(0)
#ratioleg1.SetLineColor(0)
#ratioleg1.SetShadowColor(0)
#ratioleg1.SetTextFont(62)
##ratioleg1.SetTextSize(0.06)
#ratioleg1.SetTextSize(0.07)
#ratioleg1.SetBorderSize(1)
# Draw MC signal and background
print "MakePlots(): Drawing..."
pad1.cd()
if plotLog: pad1.SetLogy()
hs.Draw("hist")
hs.GetXaxis().SetLabelSize(0)
binwidth = (xup - xlow) / nbins_plot
ytitle = "Events / %.3f" % binwidth
hs.GetYaxis().SetTitle(ytitle)
if " ; " in xtitle:
hs.SetTitle(";"+xtitle)
staterr.Draw("e2 same")
if plotSig:
hVH.SetLineWidth(3)
hVH.SetFillColor(0)
hVH.Draw("hist same")
if plotSig:
hZbbHinv.SetLineWidth(3)
hZbbHinv.SetFillColor(0)
hZbbHinv.Draw("hist same")
if options.doVV:
hVVHF.SetLineWidth(3)
hVVHF.SetLineColor(kGray + 2)
hVVHF.SetFillColor(0)
hVVHF.Draw("hist same")
# Draw data
hdata_test.Draw("e1 same")
# Draw legends
#leg.Draw()
leg1.Draw()
leg2.Draw()
latex = TLatex()
latex.SetNDC()
latex.SetTextAlign(12)
latex.SetTextFont(62)
latex.SetTextSize(0.052)
latex.DrawLatex(0.19, 0.89, "CMS Preliminary")
latex.SetTextSize(0.04)
latex.DrawLatex(0.19, 0.84, "#sqrt{s} = 8 TeV, L = 18.9 fb^{-1}")
#latex.DrawLatex(0.19, 0.79, "Z(#nu#bar{#nu})H(b#bar{b})")
latex.DrawLatex(0.19, 0.79, "Z(b#bar{b})H(inv)")
# Under/overflows a la TMVA
#uoflow = "U/O-flow (Data,MC): (%.1f, %.1f) / (%.1f, %.1f)" % (hdata_test.GetBinContent(0), hmc_exp.GetBinContent(0), hdata_test.GetBinContent(nbins_plot+1), hmc_exp.GetBinContent(nbins_plot+1))
#latex2 = TLatex(0.99, 0.1, uoflow)
#latex2.SetNDC()
#latex2.SetTextSize(0.02)
#latex2.SetTextAngle(90)
#latex2.AppendPad()
# Draw ratio
pad2.cd()
pad2.SetGridy(0)
ratiostaterr.Draw("e2")
ratiosysterr.Draw("e2 same")
ratiostaterr.Draw("e2 same")
ratiounity.Draw()
ratio.Draw("e1 same")
# Draw ratio legends
ratioleg1.Draw()
ratioleg2.Draw()
# Kolmogorov-Smirnov test and Chi2 test
pave = TPaveText(0.18, 0.86, 0.35, 0.96, "brNDC")
#pave = TPaveText(0.18, 0.86, 0.28, 0.96, "brNDC")
pave.SetTextAlign(12)
pave.SetLineColor(0)
pave.SetFillColor(0)
pave.SetShadowColor(0)
pave.SetBorderSize(1)
nchisq = hdata_test.Chi2Test(hmc_test, "UWCHI2/NDF") # MC uncert. (stat)
kolprob = hdata_test.KolmogorovTest(hmc_test) # MC uncert. (stat)
text = pave.AddText("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f" % (nchisq, kolprob))
#text = pave.AddText("#chi_{#nu}^{2} = %.3f" % (nchisq))
text.SetTextFont(62)
text.SetTextSize(0.06)
#text.SetTextSize(0.07)
pave.Draw()
print "MakePlots(): Printing..."
pad1.cd()
gPad.RedrawAxis()
gPad.Modified()
gPad.Update()
pad2.cd()
gPad.RedrawAxis()
gPad.Modified()
gPad.Update()
c1.cd()
#plotname = TString("%s_%s_%s" % (channel, region, var))
#FormatFileName(plotname)
#gPad.Print(plotdir+plotname.Data()+".png")
#gPad.Print(plotdir+plotname.Data()+".pdf")
gPad.Print(varname+"_%s.png" % whatfit)
gPad.Print(varname+"_%s.pdf" % whatfit)
return 0
def MakePlots(ev, var, cutmc, cutdata, xtitle, nbins, xlow, xup):
hP1 = TH1F("P1", "", nbins, xlow, xup)
hP2 = TH1F("P2", "", nbins, xlow, xup)
hP3 = TH1F("P3", "", nbins, xlow, xup)
# Apply scale factors
scalefactor1 = 1.0
cutsf = TCut("%f" % scalefactor1)
# ev.P1.Project("P1", var, (cutmc * cutsf).GetTitle())
ev.P1.Project("P1", var, (cutdata).GetTitle())
scalefactor2 = 1.0
cutsf = TCut("%f" % scalefactor2)
# ev.P2.Project("P2", var, (cutmc * cutsf).GetTitle())
ev.P2.Project("P2", var, (cutdata).GetTitle())
scalefactor3 = 1.0
cutsf = TCut("%f" % scalefactor3)
# ev.P3.Project("P3", var, (cutmc * cutsf).GetTitle())
ev.P3.Project("P3", var, (cutdata).GetTitle())
if True:
print "MakePlots(): Setting up histograms..."
# Setup canvas and pads
c1 = TCanvas("c1", "c1", 700, 700)
# c1 = TCanvas("c1", "c1", 600, 600)
pad1 = TPad("pad1", "top pad", 0.0, 0.3, 1.0, 1.0)
pad1.SetBottomMargin(0.0)
pad1.Draw()
pad2 = TPad("pad2", "bottom pad", 0.0, 0.0, 1.0, 0.3)
pad2.SetTopMargin(0.0)
pad2.SetBottomMargin(0.35)
pad2.Draw()
pad1.cd()
pad1.SetLogy(plotLog)
# Setup histogram styles and stack the histograms.
setHisto(hP1, "data_obs")
setHisto(hP2, "VH")
setHisto(hP3, "TT")
hP1.Scale(1.0 / hP1.GetSumOfWeights())
hP2.Scale(1.0 / hP2.GetSumOfWeights())
hP3.Scale(1.0 / hP3.GetSumOfWeights())
ymax = max(hP1.GetMaximum(), hP2.GetMaximum(), hP3.GetMaximum())
hP1.SetMaximum(ymax + ymax / 2.0 + (sqrt(ymax) if ymax > 1 else 0))
if plotLog:
hP1.SetMaximum(ymax * 200 + (sqrt(ymax) if ymax > 1 else 0))
# hP1.SetMinimum(0.01)
# Setup auxiliary histograms
print "MakePlots(): Setting up auxiliary histograms..."
ratio = hP2.Clone("ratio")
ratio.Sumw2()
ratio.SetMarkerSize(0.8)
# ratio.SetMarkerSize(0.5)
ratio.Divide(hP2, hP1, 1.0, 1.0, "")
ratioP3 = hP3.Clone("ratio3")
ratioP3.Sumw2()
ratioP3.SetMarkerSize(0.8)
# ratioP3.SetMarkerSize(0.5)
ratioP3.Divide(hP3, hP1, 1.0, 1.0, "")
ratio.SetStats(0)
ratio.SetTitle("")
ratio.GetXaxis().SetTitle(xtitle)
ratio.GetYaxis().SetTitle("ratio")
ratio.SetMaximum(2.2)
ratio.SetMinimum(0)
# ratio.SetMarkerSize(0)
# ratio.SetFillColor(kRed)
# ratio.SetFillStyle(3013)
##ratio.SetFillStyle(3001)
ratio.GetXaxis().CenterTitle()
ratio.GetXaxis().SetLabelSize(0.12)
ratio.GetXaxis().SetTitleSize(0.14)
ratio.GetXaxis().SetTitleOffset(1.10)
ratio.GetYaxis().CenterTitle()
ratio.GetYaxis().SetLabelSize(0.10)
ratio.GetYaxis().SetTitleSize(0.12)
# ratio.GetYaxis().SetTitleSize(0.10)
ratio.GetYaxis().SetTitleOffset(0.6)
ratio.GetYaxis().SetNdivisions(505)
# Setup legends
print "MakePlots(): Setting up legends..."
leg = TLegend(0.62, 0.62, 0.92, 0.92)
leg.SetFillColor(0)
leg.SetLineColor(0)
leg.SetShadowColor(0)
leg.SetTextFont(62)
leg.SetTextSize(0.03)
leg.AddEntry(hP1, "2012ABC", "lp")
leg.AddEntry(hP2, "2012D ![207883:208307]", "lp")
leg.AddEntry(hP3, "2012D [207883:208307]", "lp")
# Draw MC signal and background
print "MakePlots(): Drawing..."
pad1.cd()
if plotLog:
pad1.SetLogy()
hP1.Draw("e1")
hP1.GetXaxis().SetLabelSize(0)
binwidth = (xup - xlow) / nbins
ytitle = "(normalized) / %.3f" % binwidth
hP1.GetYaxis().SetTitle(ytitle)
hP3.Draw("e1 same")
hP2.Draw("e1 same")
# Draw legends
leg.Draw()
latex = TLatex()
latex.SetNDC()
latex.SetTextAlign(12)
latex.SetTextFont(62)
latex.SetTextSize(0.052)
latex.DrawLatex(0.19, 0.89, "CMS Preliminary")
latex.SetTextSize(0.04)
latex.DrawLatex(0.19, 0.84, "#sqrt{s} = 8 TeV, L = 19.6 fb^{-1}")
latex.DrawLatex(0.19, 0.79, "Z(#nu#bar{#nu})H(b#bar{b})")
# Under/overflows a la TMVA
uoflow = "U/O-flow (Data,MC): (%.1f, %.1f) / (%.1f, %.1f)" % (
hP2.GetBinContent(0),
hP1.GetBinContent(0),
hP2.GetBinContent(nbins + 1),
hP1.GetBinContent(nbins + 1),
)
latex2 = TLatex(0.99, 0.1, uoflow)
latex2.SetNDC()
latex2.SetTextSize(0.02)
latex2.SetTextAngle(90)
latex2.AppendPad()
# Draw ratio
pad2.cd()
pad2.SetGridy(0)
ratio.Draw("e1")
ratioP3.Draw("e1 same")
ratio.Draw("e1 same")
# Kolmogorov-Smirnov test and Chi2 test
pave = TPaveText(0.18, 0.85, 0.35, 0.96, "brNDC")
pave.SetTextAlign(12)
pave.SetLineColor(0)
pave.SetFillColor(0)
pave.SetShadowColor(0)
pave.SetBorderSize(1)
nchisq = hP2.Chi2Test(hP1, "UWCHI2/NDF") # MC uncert. (stat)
kolprob = hP2.KolmogorovTest(hP1) # MC uncert. (stat)
text = pave.AddText("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f" % (nchisq, kolprob))
text.SetTextFont(62)
text.SetTextSize(0.06)
pave.Draw()
print "MakePlots(): Printing..."
pad1.cd()
gPad.RedrawAxis()
gPad.Modified()
gPad.Update()
pad2.cd()
gPad.RedrawAxis()
gPad.Modified()
gPad.Update()
c1.cd()
plotname = TString("%s_%s_diff_%s" % (channel, region, var))
FormatFileName(plotname)
gPad.Print(plotdir + plotname.Data() + ".png")
gPad.Print(plotdir + plotname.Data() + ".pdf")
return 0