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unfoldTopPt.py
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unfoldTopPt.py
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#!/usr/bin/env python
import math
# -------------------------------------------------------------------------------------
# Script for doing RooUnfold on the ttbar differential cross secion
# -------------------------------------------------------------------------------------
from optparse import OptionParser
parser = OptionParser()
# -------------------------------------------------------------------------------------
# input options
# -------------------------------------------------------------------------------------
parser.add_option('--closureTest', metavar='F', action='store_true',
default=False,
dest='closureTest',
help='Run closure test')
parser.add_option('--normalize', metavar='F', action='store_true',
default=False,
dest='normalize',
help='Do normalized differential cross section')
parser.add_option('--systVariation', metavar='F', type='string', action='store',
default='nom',
dest='syst',
help='Run nominal or systematic variation?')
parser.add_option('--bkgSyst', metavar='F', type='string', action='store',
default="nom",
dest='bkgSyst',
help='Use nom/up/down bkg normalization?')
parser.add_option('--lepType', metavar='F', type='string', action='store',
default='muon',
dest='lepType',
help='Lepton type (ele or muon)')
parser.add_option('--usePost', metavar='F', action='store_true',
default=False,
dest='usePost',
help='Use posterior top-tag SF and bkg norm')
parser.add_option('--nbr', metavar='F', type='string', action='store',
default='5',
dest='nbr',
help='')
parser.add_option('--toUnfold', metavar='F', type='string', action='store',
default='pt',
dest='toUnfold',
help='Distribution to unfold (pt or y)')
# -------------------------------------------------------------------------------------
# load options & set plot style
# -------------------------------------------------------------------------------------
(options, args) = parser.parse_args()
argv = []
import sys
from ROOT import gRandom, TH1, TH1D, cout, TFile, gSystem, TCanvas, TPad, gPad, gROOT, gStyle, THStack, TLegend, TLatex, TColor, TUnfold
from array import array
gROOT.Macro("rootlogon.C")
gROOT.SetBatch(True)
gStyle.SetOptStat(000000)
gStyle.SetOptTitle(0)
gStyle.SetTitleFont(43)
gStyle.SetTitleFont(43, "XYZ")
gStyle.SetTitleSize(30, "XYZ")
gStyle.SetLabelFont(43, "XYZ")
gStyle.SetLabelSize(24, "XYZ")
gStyle.SetPadTopMargin(0.07)
gStyle.SetPadRightMargin(0.05)
gStyle.SetPadBottomMargin(0.16)
gStyle.SetPadLeftMargin(0.18)
gSystem.Load("RooUnfold/libRooUnfold.so")
from ROOT import RooUnfoldResponse
from ROOT import RooUnfold
from ROOT import RooUnfoldBayes
from ROOT import RooUnfoldSvd
from ROOT import RooUnfoldTUnfold
# -------------------------------------------------------------------------------------
# cross sections, efficiencies, total number of events
# -------------------------------------------------------------------------------------
# luminosity
lum = 12337.98 # was 12358.75 (pb-1), but missing some data
if options.lepType == "ele":
lum = 12267.67 # was 12295.65 (pb-1), but missing some data
PowhegPythia8_norm = 831.76 * lum / 182123200.
PowhegPythia8_nonsemi_norm = 831.76 * lum / 182075200. #missing file
SingleTop_t_t_norm = 136.02 * 0.322 * lum / 3279200.
SingleTop_tbar_t_norm = 80.95 * 0.322 * lum / 1682400.
SingleTop_t_tW_norm = 35.9 * lum / 998400.
SingleTop_tbar_tW_norm = 35.9 * lum / 985000.
WJets_HT100to200_norm = 1345.0 * 1.21 * lum / 27529599.
WJets_HT200to400_norm = 359.7 * 1.21 * lum / 4963240.
WJets_HT400to600_norm = 48.91 * 1.21 * lum / 1963464.
WJets_HT600to800_norm = 12.05 * 1.21 * lum / 3722395.
WJets_HT800to1200_norm = 5.501 * 1.21 * lum / 6314257.
WJets_HT1200to2500_norm = 1.329 * 1.21 * lum / 6768156.
WJets_HT2500toInf_norm = 0.03216 * 1.21 * lum / 253561.
## hack to account for that when doing closure test (unfold 1/2 sample with other 1/2), the ttbar sample is split in two
eff_closure = 1.0
if options.closureTest == True :
eff_closure = 2.0
# -------------------------------------------------------------------------------------
# read histogram files
# -------------------------------------------------------------------------------------
append = ""
if options.usePost:
append = "_post"
muOrEl = "mu"
if options.lepType=="ele":
print ""
print "UNFOLDING FOR ELECTRON CHANNEL !!!"
print ""
muOrEl = "el"
else:
print ""
print "UNFOLDING FOR MUON CHANNEL !!!"
print ""
if options.lepType=="ele" and not options.closureTest:
f_data = TFile("histfiles_80X/hists_Data_el.root")
f_QCD = TFile("histfiles_80X/hists_Data_el_qcd.root")
elif not options.closureTest:
f_data = TFile("histfiles_80X/hists_Data_mu.root")
f_QCD = TFile("histfiles_80X/hists_Data_mu_qcd.root")
# In the below, file named f_..._odd will be the one from which response matrix is extracted from (if closureTest == True)
if options.closureTest == True :
f_ttbar = TFile("histfiles_80X/hists_PowhegPythia8_fullTruth_"+muOrEl+"_"+options.syst+"_even"+append+".root")
f_ttbar_odd = TFile("histfiles_80X/hists_PowhegPythia8_fullTruth_"+muOrEl+"_"+options.syst+"_odd"+append+".root")
else :
f_ttbar = TFile("histfiles_80X/hists_PowhegPythia8_fullTruth_"+muOrEl+"_"+options.syst+append+".root")
if not options.closureTest:
f_ttbar_nonsemilep = TFile("histfiles_80X/hists_PowhegPythia8_nonsemilep_"+muOrEl+"_"+options.syst+append+".root")
f_T_t = TFile("histfiles_80X/hists_SingleTop_t_t_"+muOrEl+"_nom"+append+".root")
f_Tbar_t = TFile("histfiles_80X/hists_SingleTop_tbar_t_"+muOrEl+"_nom"+append+".root")
f_T_tW = TFile("histfiles_80X/hists_SingleTop_t_tW_"+muOrEl+"_nom"+append+".root")
f_Tbar_tW = TFile("histfiles_80X/hists_SingleTop_tbar_tW_"+muOrEl+"_nom"+append+".root")
f_WJets_HT100to200 = TFile("histfiles_80X/hists_WJets_HT100to200_"+muOrEl+"_nom"+append+".root")
f_WJets_HT200to400 = TFile("histfiles_80X/hists_WJets_HT200to400_"+muOrEl+"_nom"+append+".root")
f_WJets_HT400to600 = TFile("histfiles_80X/hists_WJets_HT400to600_"+muOrEl+"_nom"+append+".root")
f_WJets_HT600to800 = TFile("histfiles_80X/hists_WJets_HT600to800_"+muOrEl+"_nom"+append+".root")
f_WJets_HT800to1200 = TFile("histfiles_80X/hists_WJets_HT800to1200_"+muOrEl+"_nom"+append+".root")
f_WJets_HT1200to2500 = TFile("histfiles_80X/hists_WJets_HT1200to2500_"+muOrEl+"_nom"+append+".root")
f_WJets_HT2500toInf = TFile("histfiles_80X/hists_WJets_HT2500toInf_"+muOrEl+"_nom"+append+".root")
f_qcd_ttbar = TFile("histfiles_80X/hists_PowhegPythia8_fullTruth_"+muOrEl+"_"+options.syst+"_qcd"+append+".root")
f_qcd_ttbar_nonsemilep = TFile("histfiles_80X/hists_PowhegPythia8_nonsemilep_"+muOrEl+"_"+options.syst+"_qcd"+append+".root")
f_qcd_T_t = TFile("histfiles_80X/hists_SingleTop_t_t_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_Tbar_t = TFile("histfiles_80X/hists_SingleTop_tbar_t_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_T_tW = TFile("histfiles_80X/hists_SingleTop_t_tW_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_Tbar_tW = TFile("histfiles_80X/hists_SingleTop_tbar_tW_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT100to200 = TFile("histfiles_80X/hists_WJets_HT100to200_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT200to400 = TFile("histfiles_80X/hists_WJets_HT200to400_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT400to600 = TFile("histfiles_80X/hists_WJets_HT400to600_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT600to800 = TFile("histfiles_80X/hists_WJets_HT600to800_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT800to1200 = TFile("histfiles_80X/hists_WJets_HT800to1200_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT1200to2500 = TFile("histfiles_80X/hists_WJets_HT1200to2500_"+muOrEl+"_nom_qcd"+append+".root")
f_qcd_WJets_HT2500toInf = TFile("histfiles_80X/hists_WJets_HT2500toInf_"+muOrEl+"_nom_qcd"+append+".root")
# -------------------------------------------------------------------------------------
# Get response matrix
# -------------------------------------------------------------------------------------
syst_flag = options.syst
if options.bkgSyst != "nom" :
syst_flag = "Bkg"+options.bkgSyst
if options.closureTest == True:
response = f_ttbar_odd.Get("response_"+options.toUnfold+options.nbr+"fine")
response.SetName("response_"+options.toUnfold+"_"+syst_flag)
else :
response = f_ttbar.Get("response_"+options.toUnfold+options.nbr+"fine")
response.SetName("response_"+options.toUnfold+"_"+syst_flag)
TH1.AddDirectory(0)
# -------------------------------------------------------------------------------------
# read actual histograms
# -------------------------------------------------------------------------------------
hTrue = f_ttbar.Get(options.toUnfold+"GenTop"+options.nbr)
hTrue.Sumw2()
if not options.closureTest:
hMeas = f_data.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
else :
hMeas = f_ttbar.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas.Sumw2()
if not options.closureTest:
hMeas_tt_nonsemi = f_ttbar_nonsemilep.Get(options.toUnfold+"RecoTop"+options.nbr+"fine").Clone()
hMeas_T_t = f_T_t.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_Tbar_t = f_Tbar_t.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_T_tW = f_T_tW.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_Tbar_tW = f_Tbar_tW.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT100to200 = f_WJets_HT100to200.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT200to400 = f_WJets_HT200to400.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT400to600 = f_WJets_HT400to600.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT600to800 = f_WJets_HT600to800.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT800to1200 = f_WJets_HT800to1200.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT1200to2500 = f_WJets_HT1200to2500.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_WJets_HT2500toInf = f_WJets_HT2500toInf.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_tt_nonsemi.Sumw2()
hMeas_T_t.Sumw2()
hMeas_Tbar_t.Sumw2()
hMeas_T_tW.Sumw2()
hMeas_Tbar_tW.Sumw2()
hMeas_WJets_HT100to200.Sumw2()
hMeas_WJets_HT200to400.Sumw2()
hMeas_WJets_HT400to600.Sumw2()
hMeas_WJets_HT600to800.Sumw2()
hMeas_WJets_HT800to1200.Sumw2()
hMeas_WJets_HT1200to2500.Sumw2()
hMeas_WJets_HT2500toInf.Sumw2()
hMeas_qcd = f_QCD.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_tt_nonsemi = f_qcd_ttbar_nonsemilep.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_T_t = f_qcd_T_t.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_Tbar_t = f_qcd_Tbar_t.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_T_tW = f_qcd_T_tW.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_Tbar_tW = f_qcd_Tbar_tW.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT100to200 = f_qcd_WJets_HT100to200.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT200to400 = f_qcd_WJets_HT200to400.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT400to600 = f_qcd_WJets_HT400to600.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT600to800 = f_qcd_WJets_HT600to800.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT800to1200 = f_qcd_WJets_HT800to1200.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT1200to2500 = f_qcd_WJets_HT1200to2500.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd_WJets_HT2500toInf = f_qcd_WJets_HT2500toInf.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hMeas_qcd.Sumw2()
hMeas_qcd_tt_nonsemi.Sumw2()
hMeas_qcd_T_t.Sumw2()
hMeas_qcd_Tbar_t.Sumw2()
hMeas_qcd_T_tW.Sumw2()
hMeas_qcd_Tbar_tW.Sumw2()
hMeas_qcd_WJets_HT100to200.Sumw2()
hMeas_qcd_WJets_HT200to400.Sumw2()
hMeas_qcd_WJets_HT400to600.Sumw2()
hMeas_qcd_WJets_HT600to800.Sumw2()
hMeas_qcd_WJets_HT800to1200.Sumw2()
hMeas_qcd_WJets_HT1200to2500.Sumw2()
hMeas_qcd_WJets_HT2500toInf.Sumw2()
# -------------------------------------------------------------------------------------
# Normalize histograms
# -------------------------------------------------------------------------------------
### normalize measured "data" for closure tests
if options.closureTest:
hMeas.Scale(PowhegPythia8_norm * eff_closure)
hMeas.SetName(options.toUnfold+"RecoTop_measured")
hTrue.Scale(PowhegPythia8_norm * eff_closure)
hTrue.SetName(options.toUnfold+"GenTop_true")
if not options.closureTest:
hMeas_tt_nonsemi.Scale(PowhegPythia8_nonsemi_norm)
hMeas_T_t.Scale( SingleTop_t_t_norm)
hMeas_Tbar_t.Scale( SingleTop_tbar_t_norm)
hMeas_T_tW.Scale(SingleTop_t_tW_norm)
hMeas_Tbar_tW.Scale(SingleTop_tbar_tW_norm)
hMeas_WJets_HT100to200.Scale(WJets_HT100to200_norm)
hMeas_WJets_HT200to400.Scale(WJets_HT200to400_norm)
hMeas_WJets_HT400to600.Scale(WJets_HT400to600_norm)
hMeas_WJets_HT600to800.Scale(WJets_HT600to800_norm)
hMeas_WJets_HT800to1200.Scale(WJets_HT800to1200_norm)
hMeas_WJets_HT1200to2500.Scale(WJets_HT1200to2500_norm)
hMeas_WJets_HT2500toInf.Scale(WJets_HT2500toInf_norm)
hMeas_qcd_tt_nonsemi.Scale(PowhegPythia8_nonsemi_norm)
hMeas_qcd_T_t.Scale( SingleTop_t_t_norm)
hMeas_qcd_Tbar_t.Scale( SingleTop_tbar_t_norm)
hMeas_qcd_T_tW.Scale(SingleTop_t_tW_norm)
hMeas_qcd_Tbar_tW.Scale(SingleTop_tbar_tW_norm)
hMeas_qcd_WJets_HT100to200.Scale(WJets_HT100to200_norm)
hMeas_qcd_WJets_HT200to400.Scale(WJets_HT200to400_norm)
hMeas_qcd_WJets_HT400to600.Scale(WJets_HT400to600_norm)
hMeas_qcd_WJets_HT600to800.Scale(WJets_HT600to800_norm)
hMeas_qcd_WJets_HT800to1200.Scale(WJets_HT800to1200_norm)
hMeas_qcd_WJets_HT1200to2500.Scale(WJets_HT1200to2500_norm)
hMeas_qcd_WJets_HT2500toInf.Scale(WJets_HT2500toInf_norm)
hMeas_tt_nonsemi.SetName(options.toUnfold+"RecoTop_TTnonSemi")
hMeas_SingleTop = hMeas_T_t.Clone()
hMeas_SingleTop.SetName(options.toUnfold+"RecoTop_SingleTop")
hMeas_WJets = hMeas_WJets_HT100to200.Clone()
hMeas_WJets.SetName(options.toUnfold+"RecoTop_WJets")
hMeas_QCD = hMeas_qcd.Clone()
hMeas_QCD.SetName(options.toUnfold+"RecoTop_QCD")
for hist in [hMeas_Tbar_t, hMeas_T_tW, hMeas_Tbar_tW] :
hMeas_SingleTop.Add( hist )
for hist in [hMeas_WJets_HT200to400,hMeas_WJets_HT400to600,hMeas_WJets_HT600to800,hMeas_WJets_HT800to1200,hMeas_WJets_HT1200to2500,hMeas_WJets_HT2500toInf] :
hMeas_WJets.Add( hist )
for hist in [hMeas_qcd_tt_nonsemi,
hMeas_qcd_T_t,hMeas_qcd_Tbar_t,hMeas_qcd_T_tW,hMeas_qcd_Tbar_tW
,hMeas_qcd_WJets_HT100to200,hMeas_qcd_WJets_HT200to400,hMeas_qcd_WJets_HT400to600,
hMeas_qcd_WJets_HT600to800,hMeas_qcd_WJets_HT800to1200,hMeas_qcd_WJets_HT1200to2500,hMeas_qcd_WJets_HT2500toInf] :
hMeas_QCD.Add(hist,-1.0)
# -------------------------------
# Normalize QCD to MC prediction
# -------------------------------
f_QCD_HT300to500 = TFile("histfiles_80X/hists_QCD_HT300to500_"+muOrEl+"_nom"+append+".root")
f_QCD_HT500to700 = TFile("histfiles_80X/hists_QCD_HT500to700_"+muOrEl+"_nom"+append+".root")
f_QCD_HT700to1000 = TFile("histfiles_80X/hists_QCD_HT700to1000_"+muOrEl+"_nom"+append+".root")
f_QCD_HT1000to1500 = TFile("histfiles_80X/hists_QCD_HT1000to1500_"+muOrEl+"_nom"+append+".root")
f_QCD_HT1500to2000 = TFile("histfiles_80X/hists_QCD_HT1500to2000_"+muOrEl+"_nom"+append+".root")
f_QCD_HT2000toInf = TFile("histfiles_80X/hists_QCD_HT2000toInf_"+muOrEl+"_nom"+append+".root")
hNorm_QCD_HT300to500 = f_QCD_HT300to500.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hNorm_QCD_HT500to700 = f_QCD_HT500to700.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hNorm_QCD_HT700to1000 = f_QCD_HT700to1000.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hNorm_QCD_HT1000to1500 = f_QCD_HT1000to1500.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hNorm_QCD_HT1500to2000 = f_QCD_HT1500to2000.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hNorm_QCD_HT2000toInf = f_QCD_HT2000toInf.Get(options.toUnfold+"RecoTop"+options.nbr+"fine")
hNorm_QCD_HT300to500.Scale(347700. * lum / 37828442.)
hNorm_QCD_HT500to700.Scale(32100. * lum / 44058594.)
hNorm_QCD_HT700to1000.Scale(6831. * lum / 29832311.)
hNorm_QCD_HT1000to1500.Scale(1207. * lum / 4963881.) # was 4980387 -- missing file
hNorm_QCD_HT1500to2000.Scale(119.9 * lum / 7803965.)
hNorm_QCD_HT2000toInf.Scale(25.24 * lum / 4047532.)
QCD_norm = 0.0
for hist in [hNorm_QCD_HT300to500,hNorm_QCD_HT500to700,hNorm_QCD_HT700to1000,hNorm_QCD_HT1000to1500,hNorm_QCD_HT1500to2000,hNorm_QCD_HT2000toInf]:
QCD_norm += hist.Integral()
hMeas_QCD.Scale(QCD_norm / hMeas_QCD.Integral())
# -------------------------------------------------------------------------------------
# Close histogram files
# -------------------------------------------------------------------------------------
f_data.Close()
f_QCD.Close()
f_ttbar.Close()
if options.closureTest :
f_ttbar_odd.Close()
else :
for file in [f_ttbar_nonsemilep, f_T_t, f_Tbar_t, f_T_tW, f_Tbar_tW, f_WJets_HT100to200, f_WJets_HT200to400, f_WJets_HT400to600,
f_WJets_HT600to800, f_WJets_HT800to1200, f_WJets_HT1200to2500, f_qcd_ttbar, f_qcd_ttbar_nonsemilep, f_qcd_T_t,
f_qcd_Tbar_t, f_qcd_T_tW, f_qcd_Tbar_tW, f_qcd_WJets_HT100to200, f_qcd_WJets_HT200to400, f_qcd_WJets_HT400to600,
f_qcd_WJets_HT600to800, f_qcd_WJets_HT800to1200, f_qcd_WJets_HT1200to2500, f_qcd_WJets_HT2500toInf, f_QCD_HT300to500,
f_QCD_HT500to700, f_QCD_HT700to1000, f_QCD_HT1000to1500, f_QCD_HT1500to2000, f_QCD_HT2000toInf] :
file.Close()
# -------------------------------------------------------------------------------------
# Scale backgrounds if using posterior normalization
# -------------------------------------------------------------------------------------
if options.usePost:
if options.bkgSyst == "Up":
if options.lepType == "ele" :
hMeas_tt_nonsemi.Scale(0.83*1.79)
hMeas_SingleTop.Scale(1.05*1.79)
hMeas_WJets.Scale(1.08*1.79)
hMeas_QCD.Scale(1.02*1.79)
else :
hMeas_tt_nonsemi.Scale(0.83)
hMeas_SingleTop.Scale(1.05)
hMeas_WJets.Scale(1.08)
hMeas_QCD.Scale(0.79)
elif options.bkgSyst == "Down":
if options.lepType == "ele":
hMeas_tt_nonsemi.Scale(0.71*1.79)
hMeas_SingleTop.Scale(0.95*1.79)
hMeas_WJets.Scale(0.96*1.79)
hMeas_QCD.Scale(0.32*1.79)
else :
hMeas_tt_nonsemi.Scale(0.71)
hMeas_SingleTop.Scale(0.95)
hMeas_WJets.Scale(0.96)
hMeas_QCD.Scale(0.45)
else :
if options.lepType == "ele":
hMeas_tt_nonsemi.Scale(0.77*1.79)
hMeas_SingleTop.Scale(1.00*1.79)
hMeas_WJets.Scale(1.02*1.79)
hMeas_QCD.Scale(0.67*1.79)
else :
hMeas_tt_nonsemi.Scale(0.77)
hMeas_SingleTop.Scale(1.00)
hMeas_WJets.Scale(1.02)
hMeas_QCD.Scale(0.62)
# -------------------------------------------------------------------------------------
# subtract backgrounds from the data distribution, but not for closure test!!!
# -------------------------------------------------------------------------------------
for hist in [hMeas_SingleTop, hMeas_WJets, hMeas_QCD, hMeas_tt_nonsemi] :
hMeas.Add(hist, -1.)
for ibin in xrange( hMeas.GetNbinsX() ) :
if ( hMeas.GetBinContent( ibin ) < 0.0 ) :
hMeas.SetBinContent( ibin, 0.0 )
# -------------------------------------------------------------------------------------
# output file for storing histograms to
# -------------------------------------------------------------------------------------
closureout = ""
if options.closureTest == True:
closureout = "_closure"
norm_flag = ""
if options.normalize:
norm_flag = "_norm"
fout = TFile("UnfoldingPlots/unfold_"+options.toUnfold+"_PowhegPythia8_"+options.lepType+"_"+syst_flag+closureout+norm_flag+".root","recreate")
# -------------------------------------------------------------------------------------
# do the actual unfolding
# -------------------------------------------------------------------------------------
print "------------ UNFOLDING (syst: " + syst_flag + ") ------------"
n_iter = 3
print " using " + str(n_iter) + " iterations"
unfold = RooUnfoldBayes(response, hMeas, n_iter)
#unfold = RooUnfoldSvd(response, hMeas, 2);
# get the unfolded distribution
hReco = unfold.Hreco()
hReco.Sumw2()
# -------------------------------------------------------------------------------------
# Translate to cross section (not events) in bins of pt N/L/BR)
# -------------------------------------------------------------------------------------
# TODO: should fix BR
print "WARNING: treatment of branching ratio is wrong!"
hTrue.Scale(1.0/(lum*0.438/3.)) # true @ parton level
hMeas.Scale(1.0/(lum*0.438/3.)) # measured @ reco level
hReco.Scale(1.0/(lum*0.438/3.)) # unfolded to parton level
# -------------------------------------------------------------------------------------
# Adjust for bin width
# -------------------------------------------------------------------------------------
sumReco = 0
sumTrue = 0
sumMeas = 0
sumReco_odd = 0
sumTrue_odd = 0
sumMeas_odd = 0
lowedge = 399.
highedge = 1199.
for ibin in range(1, hTrue.GetXaxis().GetNbins()+1 ) :
# total cross section for pt > 400 GeV
if hTrue.GetBinLowEdge(ibin) > lowedge :
sumTrue += hTrue.GetBinContent(ibin)
if hReco.GetBinLowEdge(ibin) > lowedge :
sumReco += hReco.GetBinContent(ibin)
if hMeas.GetBinLowEdge(ibin) > lowedge :
sumMeas += hMeas.GetBinContent(ibin)
width = hTrue.GetBinWidth(ibin)
hTrue.SetBinContent(ibin, hTrue.GetBinContent(ibin) / width )
hTrue.SetBinError(ibin, hTrue.GetBinError(ibin) / width )
hMeas.SetBinContent(ibin, hMeas.GetBinContent(ibin) / width )
hMeas.SetBinError(ibin, hMeas.GetBinError(ibin) / width )
hReco.SetBinContent(ibin, hReco.GetBinContent(ibin) / width )
hReco.SetBinError(ibin, hReco.GetBinError(ibin) / width )
# -------------------------------------------------------------------------------------
# do NORMALIZED differential cross section instead??
# -------------------------------------------------------------------------------------
if options.normalize:
hTrue.Scale(1.0/sumTrue)
hReco.Scale(1.0/sumReco)
hMeas.Scale(1.0/sumMeas)
# -------------------------------------------------------------------------------------
# print & draw
# -------------------------------------------------------------------------------------
## ratio of unfolded data to generator-level
hFrac = hReco.Clone()
hFrac.SetName("hFrac")
hFrac.SetTitle(";Top quark p_{T} (GeV);Data/MC")
hFrac.Divide(hTrue)
if options.closureTest:
print ''
print '-------------------------------------------------------------------------------------'
print 'uncertainty from closure test (' + options.lepType + ')'
print '-------------------------------------------------------------------------------------'
print 'parton-level'
for ibin in range(1, hFrac.GetXaxis().GetNbins()+1 ) :
if hFrac.GetBinLowEdge(ibin) > lowedge and hFrac.GetBinLowEdge(ibin) < highedge:
print '[' + str(hFrac.GetBinLowEdge(ibin)) + ',' + str(hFrac.GetBinLowEdge(ibin+1)) + '] = ' + str((hFrac.GetBinContent(ibin)-1.0)*100.0) + ' %'
print ''
print '-------------------------------------------------------------------------------------'
print 'sigma (raw data) = ' + str(int(sumMeas)) + ' pb'
print 'true sigma @ parton-level (pt > 400 GeV) = ' + str(int(sumTrue)) + ' pb'
print 'measured sigma (unfolded data) @ parton-level = ' + str(int(sumReco)) + ' pb'
print '-------------------------------------------------------------------------------------'
print ''
# -------------------------------------------------------------------------------------
# draw parton-level unfolding
# -------------------------------------------------------------------------------------
c1 = TCanvas("c", "c", 700, 700)
pad1 = TPad("pad1","pad1",0,0.3,1,1)
pad1.SetBottomMargin(0.05)
pad1.Draw()
pad1.cd()
hReco.SetMarkerStyle(21)
hMeas.SetMarkerStyle(25)
hReco.GetXaxis().SetRangeUser(400.,1200.)
hTrue.GetXaxis().SetRangeUser(400.,1200.)
hMeas.GetXaxis().SetRangeUser(400.,1200.)
xsec_title = ";;d#sigma/dp_{T} [fb/GeV]"
if options.normalize:
xsec_title = ";;1/#sigma d#sigma/dp_{T} [1/GeV]"
hReco.SetTitle(xsec_title)
hReco.GetYaxis().SetTitleOffset(1.2)
hReco.SetMinimum(0.0)
max = hTrue.GetMaximum()
max2 = hReco.GetMaximum()
if max2 > max:
max = max2
hReco.SetAxisRange(0,max*1.15,"Y")
hReco.Draw()
hTrue.Draw('hist same')
hMeas.Draw('same')
hTrue.UseCurrentStyle()
hTrue.SetLineColor(4)
hTrue.GetYaxis().SetTitleSize(25)
hTrue.GetXaxis().SetLabelSize(0)
leg = TLegend(0.5, 0.55, 0.9, 0.75)
leg.SetFillStyle(0)
leg.SetTextFont(42)
leg.SetTextSize(0.045)
leg.SetBorderSize(0)
tt = TLatex()
tt.SetNDC()
tt.SetTextFont(42)
if options.closureTest == False :
leg.AddEntry( hReco, 'Unfolded data', 'p')
leg.AddEntry( hTrue, 'Generated (Powheg)', 'l')
leg.AddEntry( hMeas, 'Raw data', 'p')
else :
leg.AddEntry( hReco, 'Unfolded MC (Powheg)', 'p')
leg.AddEntry( hTrue, 'Generated (Powheg)', 'l')
leg.AddEntry( hMeas, 'Reco-level (Powheg)', 'p')
tt.DrawLatex(0.55,0.45, "MC closure test")
leg.Draw()
# write histograms to file
if options.closureTest:
hReco.SetName("UnfoldedMC")
else:
hReco.SetName("UnfoldedData")
hReco.Write()
hTrue.Write()
hMeas.Write()
text1 = TLatex()
text1.SetNDC()
text1.SetTextFont(42)
text1.DrawLatex(0.55,0.8, "#scale[1.0]{L = 12.4 fb^{-1}, #sqrt{s} = 13 TeV}")
c1.cd()
pad2 = TPad("pad2","pad2",0,0.0,1,0.28)
pad2.SetTopMargin(0.05)
pad2.SetBottomMargin(0.4)
pad2.Draw()
pad2.cd()
pad2.SetGridy()
hFrac.SetMaximum(1.4)
hFrac.SetMinimum(0.6)
if options.normalize == False and options.closureTest == False:
hFrac.SetMaximum(1.2)
hFrac.SetMinimum(0.4)
hFrac.UseCurrentStyle()
hFrac.GetYaxis().SetTitleSize(25)
hFrac.GetYaxis().SetTitleOffset(2.0)
hFrac.GetXaxis().SetTitleOffset(4.0)
hFrac.GetXaxis().SetLabelSize(25)
hFrac.GetYaxis().SetNdivisions(4,4,0,False)
hFrac.Draw("e")
hFrac.GetXaxis().SetRangeUser(400., 1200.)
c1.Update()
if options.syst=="nom" and options.bkgSyst == "nom":
c1.Print("UnfoldingPlots/unfolded_ttbar_xs"+closureout+"_"+options.lepType+"_"+options.syst+norm_flag+".pdf", "pdf")
# -------------------------------------------------------------------------------------
# plot response matrices
# (do this in the end as the normalization otherwise will mess up the unfolding result!)
# -------------------------------------------------------------------------------------
ncontours = 256
stops = [0.00, 1.00]
red = [0.99, 0.32]
green = [0.99, 0.42]
blue = [0.99, 0.9]
s = array('d', stops)
r = array('d', red)
g = array('d', green)
b = array('d', blue)
npoints = len(s)
TColor.CreateGradientColorTable(npoints, s, r, g, b, ncontours)
gStyle.SetNumberContours(ncontours)
# -------------------------------------------------------------------------------------
# one-step unfolding
# -------------------------------------------------------------------------------------
gStyle.SetPadRightMargin(0.12)
cr = TCanvas("c_response", "", 800, 600)
hEmpty2D = response.Hresponse().Clone()
hEmpty2D.SetName("empty2D")
hEmpty2D.Reset()
hEmpty2D.GetXaxis().SetTitle("Reconstructed top jet p_{T} (GeV)")
hEmpty2D.GetYaxis().SetTitle("Top quark p_{T} (GeV)")
hEmpty2D.GetXaxis().SetLabelSize(0.045)
hEmpty2D.GetYaxis().SetLabelSize(0.045)
hEmpty2D.Draw()
hResponse2D = response.Hresponse().Clone()
hResponse2D.SetName("plottedResponse")
gStyle.SetPaintTextFormat(".1f")
hResponse2D.Draw("colz,same,text")
hEmpty2D.Draw("axis,same")
#if options.syst=="nom" and options.closureTest==False:
cr.SaveAs("UnfoldingPlots/unfold"+closureout+"_responseMatrix_full_"+options.lepType+"_"+syst_flag+".pdf")
# normalize so that for each bin of true top quark pt(eta), the bins in measured top pt(eta) add up to 100%
nbinsX = hResponse2D.GetNbinsX()
nbinsY = hResponse2D.GetNbinsY()
for iby in range(1,nbinsY+1) :
rowIntegral = hResponse2D.Integral(1,nbinsX,iby,iby)
for ibx in range(1,nbinsX+1) :
binContent = hResponse2D.GetBinContent(ibx,iby)
newContent = 0
if rowIntegral > 0:
newContent = binContent/rowIntegral*100.0
hResponse2D.SetBinContent(ibx,iby,newContent)
hEmpty2D.Draw()
hResponse2D.Draw("colz,same,text")
hEmpty2D.Draw("axis,same")
#if options.syst=="nom" and options.closureTest==False:
cr.SaveAs("UnfoldingPlots/unfold"+closureout+"_responseMatrix_"+options.lepType+"_"+syst_flag+".pdf")
hEmpty2D.SetAxisRange(410,1150,"X")
hEmpty2D.SetAxisRange(410,1150,"Y")
hResponse2D.SetAxisRange(410,1150,"X")
hResponse2D.SetAxisRange(410,1150,"Y")
hEmpty2D.Draw()
hResponse2D.Draw("colz,same,text")
hEmpty2D.Draw("axis,same")
#if options.syst=="nom" and options.closureTest==False:
cr.SaveAs("UnfoldingPlots/unfold"+closureout+"_responseMatrix_zoom_"+options.lepType+"_"+syst_flag+".pdf")
response.Hresponse().SetName("responseMatrix_"+syst_flag)
response.Hresponse().Write()
fout.Close()