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harvesting_DATAvsMC_sys.py
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import ROOT as r
from ROOT import gROOT, TCanvas, TFile, TGraphErrors, SetOwnership
import math, sys, optparse, array, copy, os, json
import gc, inspect, __main__
import numpy as np
import time
import shutil
import include.Sample as Sample
import include.Launcher as Launcher
import include.helper as helper
import include.Canvas as Canvas
import include.CutManager as CutManager
#from include.Utils import *
from include.galapagoStyle import sigpalette, gcolors, dcolors
'''
Function to build the histogram of systematic errors
Arguments:
- sys_errors: list with all the systematics to apply, e.g. [0.02, 0.1, 0.015]
'''
def makeSystematicsHist(sys_errors, hMC):
hsys = hMC.Clone()
for i in range(hsys.GetNbinsX()):
# compute MC systematic error
error_values = 1 * np.array(sys_errors)
band_error = np.linalg.norm(error_values)
# Fill histogram
hsys.SetBinContent(i,1)
hsys.SetBinError(i,band_error)
return hsys
def makeDataMCPlot(lumi, hname_DATA, hname_MC, ylog, treeDATA, treeMC, inputdir, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '', yshift = 100.0, LLlabel = '', leftlabel = '', xlog = False, sys_errors = None):
luminosity = lumi
hMC = copy.deepcopy(treeMC.getLoopStack(inputdir, hname_MC)) # Stacked with MC
hMCtotal = copy.deepcopy(treeMC.getLoopTH1F(inputdir, hname_MC))
hDATA = copy.deepcopy(treeDATA.getLoopTH1F(inputdir, hname_DATA))
hBKG = copy.deepcopy(treeMC.getLoopStack(inputdir, hname_MC)) # Dummy stacked to be filled with contributions
for _h in hBKG.GetHists():
hBKG.RecursiveRemove(_h)
if treeEXTRA and hname_extra:
hEXTRA = copy.deepcopy(treeDATA.getLoopTH1F(inputdir, hname_extra))
hEXTRA.SetLineColor(r.kBlack)
hEXTRA.SetFillColor(r.kMagenta+1)
hEXTRA.SetTitle(label_extra)
r.SetOwnership(hEXTRA, 0)
### Combine BKG + EXTRA contributions:
nBKG = len(hMC.GetHists()) #+ 1
#hBKG = hMC
if treeEXTRA and hname_extra:
hBKG.Add(hEXTRA)
hMCtotal.Add(hEXTRA)
nBKG += 1
for _h in hMC.GetHists():
hBKG.Add(copy.deepcopy(_h))
### Tune the histograms
hMCtotal.SetMarkerStyle(20) # Auxiliar to save the ratio correctly
hDATA.SetMarkerStyle(20)
hDATA.SetMarkerSize(0.8)
### Get maximum
maxValMC = hMCtotal.GetMaximum()
maxValDATA = hDATA.GetMaximum()
maxVal = max([maxValMC, maxValDATA])
### Set Maximum
if not ylog:
hBKG.SetMaximum(1.3*maxVal)
hBKG.SetMinimum(0.0)
hMCtotal.SetMaximum(1.3*maxVal)
hMCtotal.SetMinimum(0.0)
if treeDATA:
if not yshift:
hDATA.SetMaximum(1.3*maxVal)
else:
hDATA.SetMaximum(yshift*maxVal)
hDATA.SetMinimum(0.0)
else:
if not yshift:
hBKG.SetMaximum(10.0*maxVal)
else:
hBKG.SetMaximum(yshift*maxVal)
hBKG.SetMinimum(0.1)
if not yshift:
hMCtotal.SetMaximum(10.0*maxVal)
else:
hMCtotal.SetMaximum(yshift*maxVal)
hMCtotal.SetMinimum(0.1)
if treeDATA:
if not yshift:
hDATA.SetMaximum(10.0*maxVal)
else:
hDATA.SetMaximum(yshift*maxVal)
hDATA.SetMinimum(0.1)
### SetOwnership
r.SetOwnership(hDATA, 0)
r.SetOwnership(hMC, 0)
r.SetOwnership(hBKG, 0)
r.SetOwnership(hMCtotal, 0)
### -> Canvas object
plot = Canvas.Canvas(hname_DATA, 'png', 0.6, 0.6, 0.85, 0.84, 1)
### Add background:
plot.addStack(hBKG, 'HIST', 1, 0) # Background
plot.addHisto(hDATA, 'P, SAME', 'Data', 'p', r.kBlack, 1, nBKG)
### Channel banner:
if LLlabel == 'EE':
plot.addLatex(0.17, 0.81, 'e^{+}e^{-} channel', font = 42)
if LLlabel == 'MM':
plot.addLatex(0.17, 0.81, '#mu^{+}#mu^{-} channel', font = 42)
### Extralabel:
if leftlabel:
plot.addLatex(0.17, 0.76, leftlabel, font = 42)
### Systematics
hsys = None
if sys_errors is not None: hsys = makeSystematicsHist(sys_errors, hMCtotal)
### Save it
outdir = os.path.dirname(os.path.abspath(__main__.__file__)) + '/PlotsDATAMC_' + outtag + '/'
plot.saveRatio(1, 1, ylog, luminosity, hDATA, hMCtotal, r_ymin = 0.0, r_ymax = 2.0, label="Data/BKG", outputDir = outdir, xlog = xlog, hsys = hsys)
def makeMCPlot(lumi, hname_MC, ylog, treeMC, inputdir, treeSI = False, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '', yshift = 100.0, LLlabel = '', leftlabel = '', xlog = False):
luminosity = lumi
hMC = copy.deepcopy(treeMC.getLoopStack(inputdir, hname_MC)) # Stacked with MC
hMCtotal = copy.deepcopy(treeMC.getLoopTH1F(inputdir, hname_MC))
hBKG = copy.deepcopy(treeMC.getLoopStack(inputdir, hname_MC)) # Dummy stacked to be filled with contributions
for _h in hBKG.GetHists():
hBKG.RecursiveRemove(_h)
if treeEXTRA and hname_extra:
hEXTRA = copy.deepcopy(treeEXTRA.getLoopTH1F(inputdir, hname_extra))
hEXTRA.SetLineColor(r.kBlack)
hEXTRA.SetFillColor(r.kMagenta+1)
hEXTRA.SetTitle(label_extra)
r.SetOwnership(hEXTRA, 0)
### Combine BKG + EXTRA contributions:
nBKG = len(hMC.GetHists()) #+ 1
if treeEXTRA and hname_extra:
hBKG.Add(hEXTRA)
hMCtotal.Add(hEXTRA)
nBKG += 1
for _h in hMC.GetHists():
hBKG.Add(copy.deepcopy(_h))
### Tune the histograms
hMCtotal.SetMarkerStyle(20) # Auxiliar to save the ratio correctly
### Signal histograms
s_histos = []
#xsecs = [4.938e3, 2.588e3, 0.107e3, 10e3, 0.67] # HARDCODED THIS NEEDS TO CHANGE
xsecs = [0.107e3, 4.938e3, 2.588e3, 0.67, 10e3] # HARDCODED THIS NEEDS TO CHANGE
if treeSI:
hSIS = treeSI.getLoopStack(inputdir, hname_MC)
for _i, _h in enumerate(hSIS.GetHists()):
s_histos.append(copy.deepcopy(_h))
s_histos[-1].Scale(xsecs[_i])
### Get maximum
maxValMC = hMCtotal.GetMaximum()
maxValSI = max([s_histos[i].GetMaximum() for i in range(0, len(s_histos))])
maxVal = max([maxValMC, maxValSI])
### Set Maximum
if not ylog:
hBKG.SetMaximum(1.3*maxVal)
hBKG.SetMinimum(0.0)
hMCtotal.SetMaximum(1.3*maxVal)
hMCtotal.SetMinimum(0.0)
else:
if not yshift:
hBKG.SetMaximum(10.0*maxVal)
else:
hBKG.SetMaximum(yshift*maxVal)
hBKG.SetMinimum(0.1)
if not yshift:
hMCtotal.SetMaximum(10.0*maxVal)
else:
hMCtotal.SetMaximum(yshift*maxVal)
hMCtotal.SetMinimum(0.1)
### SetOwnership
r.SetOwnership(hMC, 0)
r.SetOwnership(hBKG, 0)
r.SetOwnership(hMCtotal, 0)
### -> Canvas object
plot = Canvas.Canvas(hname_MC, 'png', 0.35, 0.65, 0.6, 0.89, 1)
### Add background:
plot.addStack(hBKG, 'HIST', 1, 0) # Background
color_order = ['red', 'orange', 'yellow', 'green', 'magenta']
for i,_h in enumerate(s_histos):
_h.SetLineWidth(2) # provisional
masses = eval(_h.GetTitle()[3:])
if 'HSS' in _h.GetTitle():
legend = 'H#rightarrowSS (%d GeV, %d GeV,%d mm)'%(masses[0], masses[1], masses[2])
else:
legend = 'RPV (%d GeV, %d GeV,%d mm)'%(masses[0], masses[1], masses[2])
plot.addHisto(_h, 'HIST, SAME', legend, 'l', gcolors[color_order[i]], 1, i+nBKG) # Signal
### Channel banner:
if LLlabel == 'EE':
plot.addLatex(0.17, 0.81, 'e^{+}e^{-} channel', font = 42)
if LLlabel == 'MM':
plot.addLatex(0.17, 0.81, '#mu^{+}#mu^{-} channel', font = 42)
### Extralabel:
if leftlabel:
plot.addLatex(0.17, 0.76, leftlabel, font = 42)
### Save it
outdir = os.path.dirname(os.path.abspath(__main__.__file__)) + '/PlotsMC_' + outtag + '/'
plot.save(1, 0, ylog, luminosity, '', outputDir = outdir, xlog = xlog, maxYnumbers = 4)
################################# GLOBAL VARIABLES DEFINITION ####################################
runningfile = os.path.abspath(__file__)
WORKPATH = ''
for level in runningfile.split('/')[:-1]:
WORKPATH += level
WORKPATH += '/'
if __name__ == "__main__":
parser = optparse.OptionParser(usage='usage: %prog [opts] FilenameWithSamples', version='%prog 1.0')
parser.add_option('-i', '--input', action='store', type=str, dest='input', default='', help='Target directory')
(opts, args) = parser.parse_args()
############# Set the TDR plot style
r.gROOT.LoadMacro(WORKPATH + 'include/tdrstyle.C+')
r.gROOT.SetBatch(1)
r.setTDRStyle()
############# Dat file
filename = 'dat/Samples_cern_UltraLegacy.dat'
############# Systematics
sys = json.loads(open('systematics/systematics.json').read())
############# EG data definition
DoubleEG2016_APV = []
DoubleEG2016 = []
DoubleEG2016_APV.append('DoubleEG_Run2016B_HIPM')
DoubleEG2016_APV.append('DoubleEG_Run2016C_HIPM')
DoubleEG2016_APV.append('DoubleEG_Run2016D_HIPM')
DoubleEG2016_APV.append('DoubleEG_Run2016E_HIPM')
DoubleEG2016_APV.append('DoubleEG_Run2016F_HIPM')
DoubleEG2016.append('DoubleEG_Run2016F_noHIPM')
DoubleEG2016.append('DoubleEG_Run2016G_noHIPM')
DoubleEG2016.append('DoubleEG_Run2016H_noHIPM')
DoubleEG2017 = []
DoubleEG2017.append('DoubleEG_Run2017B')
DoubleEG2017.append('DoubleEG_Run2017C')
DoubleEG2017.append('DoubleEG_Run2017D')
DoubleEG2017.append('DoubleEG_Run2017E')
DoubleEG2017.append('DoubleEG_Run2017F')
EGamma2018 = []
EGamma2018.append('EGamma_Run2018A')
EGamma2018.append('EGamma_Run2018B')
EGamma2018.append('EGamma_Run2018C')
EGamma2018.append('EGamma_Run2018D')
############# Muon data definition
DoubleMuon2016 = []
DoubleMuon2016.append('DoubleMuon_Run2016B_HIPM')
DoubleMuon2016.append('DoubleMuon_Run2016C_HIPM')
DoubleMuon2016.append('DoubleMuon_Run2016D_HIPM')
DoubleMuon2016.append('DoubleMuon_Run2016E_HIPM')
DoubleMuon2016.append('DoubleMuon_Run2016F_HIPM')
DoubleMuon2016.append('DoubleMuon_Run2016F_noHIPM')
DoubleMuon2016.append('DoubleMuon_Run2016G_noHIPM')
DoubleMuon2016.append('DoubleMuon_Run2016H_noHIPM')
DoubleMuon2018 = []
DoubleMuon2018.append('DoubleMuon_Run2018A')
DoubleMuon2018.append('DoubleMuon_Run2018B')
DoubleMuon2018.append('DoubleMuon_Run2018C')
DoubleMuon2018.append('DoubleMuon_Run2018D')
############# Background simulation definition
Backgrounds_preVFP = []
Backgrounds_preVFP.append('DYJetsToLL_M-50_preVFP')
Backgrounds_preVFP.append('DYJetsToLL_M-10to50_preVFP')
Backgrounds_preVFP.append('TTTo2L2Nu_preVFP')
Backgrounds_preVFP.append('WJetsToLNu_preVFP')
Backgrounds_preVFP.append('WW_preVFP')
Backgrounds_preVFP.append('WZ_preVFP')
Backgrounds_preVFP.append('ZZ_preVFP')
Backgrounds_postVFP = []
Backgrounds_postVFP.append('DYJetsToLL_M-50_postVFP')
Backgrounds_postVFP.append('DYJetsToLL_M-10to50_postVFP')
Backgrounds_postVFP.append('TTTo2L2Nu_postVFP')
Backgrounds_postVFP.append('WJetsToLNu_postVFP')
Backgrounds_postVFP.append('WW_postVFP')
Backgrounds_postVFP.append('WZ_postVFP')
Backgrounds_postVFP.append('ZZ_postVFP')
Backgrounds_2017 = []
Backgrounds_2017.append('DYJetsToLL_M-50_2017')
Backgrounds_2017.append('DYJetsToLL_M-10to50_2017')
Backgrounds_2017.append('TTTo2L2Nu_2017')
Backgrounds_2017.append('WJetsToLNu_2017')
Backgrounds_2017.append('WW_2017')
Backgrounds_2017.append('WZ_2017')
Backgrounds_2017.append('ZZ_2017')
Backgrounds_2018 = []
Backgrounds_2018.append('DYJetsToLL_M-50_2018')
Backgrounds_2018.append('DYJetsToLL_M-10to50_2018')
Backgrounds_2018.append('TTTo2L2Nu_2018')
Backgrounds_2018.append('WJetsToLNu_2018')
Backgrounds_2018.append('WW_2018')
Backgrounds_2018.append('WZ_2018')
Backgrounds_2018.append('ZZ_2018')
############# Signal definition
Signals_HSS = []
Signals_HSS.append('HSS_300_50_100')
Signals_HSS.append('HSS_500_50_100')
Signals_HSS.append('HSS_1000_250_100')
Signals_HSS.append('RPV_350_148_100')
Signals_HSS.append('RPV_1500_494_100')
Signals_HSS_2016preVFP = [i + '_2016APV' for i in Signals_HSS]
Signals_HSS_2016postVFP = [i + '_2016' for i in Signals_HSS]
Signals_HSS_2017 = [i + '_2017' for i in Signals_HSS]
Signals_HSS_2018 = [i + '_2018' for i in Signals_HSS]
############# Luminosity definition
lumi2016APV = 35.9 # fb-1
lumi2016 = 16.2 # fb-1
lumi2017 = 41.5 # fb-1
lumi2018 = 59.7 # fb-1
#treeMC_2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, Backgrounds_postVFP, 'MC'), name = 'MC', isdata = 0, close = True)
treeHSS_2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + '/dat/CombSignal_2016UL_Fall22.dat', Signals_HSS_2016preVFP + Signals_HSS_2016postVFP, 'SI'), name = 'SI', isdata = 0, close = True)
treeHSS_2017 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + '/dat/CombSignal_2017UL_Fall22.dat', Signals_HSS_2017, 'SI'), name = 'SI', isdata = 0, close = True)
treeHSS_2018 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + '/dat/CombSignal_2018UL_Fall22.dat', Signals_HSS_2018, 'SI'), name = 'SI', isdata = 0, close = True)
############ Plot everything
if False:
### 2016
makeMCPlot(lumi = lumi2016, hname_MC = 'hEESel_dPhi', ylog = True, treeMC = treeMC_2016, inputdir = opts.input, treeSI = treeHSS_2016, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2016', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2016, hname_MC = 'hMMSel_dPhi', ylog = True, treeMC = treeMC_2016, inputdir = opts.input, treeSI = treeHSS_2016, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2016', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2016, hname_MC = 'hEESel_mass', ylog = True, treeMC = treeMC_2016, inputdir = opts.input, treeSI = treeHSS_2016, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2016', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2016, hname_MC = 'hMMSel_mass', ylog = True, treeMC = treeMC_2016, inputdir = opts.input, treeSI = treeHSS_2016, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2016', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
## 2017
makeMCPlot(lumi = lumi2017, hname_MC = 'hEESel_dPhi', ylog = True, treeMC = treeMC_2017, inputdir = opts.input, treeSI = treeHSS_2017, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2017', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2017, hname_MC = 'hEESel_mass', ylog = True, treeMC = treeMC_2017, inputdir = opts.input, treeSI = treeHSS_2017, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2017', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
## 2018
makeMCPlot(lumi = lumi2018, hname_MC = 'hEESel_dPhi', ylog = True, treeMC = treeMC_2018, inputdir = opts.input, treeSI = treeHSS_2018, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2018', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2018, hname_MC = 'hMMSel_dPhi', ylog = True, treeMC = treeMC_2018, inputdir = opts.input, treeSI = treeHSS_2018, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2018', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2018, hname_MC = 'hEESel_mass', ylog = True, treeMC = treeMC_2018, inputdir = opts.input, treeSI = treeHSS_2018, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2018', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
makeMCPlot(lumi = lumi2018, hname_MC = 'hMMSel_mass', ylog = True, treeMC = treeMC_2018, inputdir = opts.input, treeSI = treeHSS_2018, hname_extra = '', label_extra = '', treeEXTRA = False, xlabel = '', outtag = '2018', yshift = 1e4, LLlabel = '', leftlabel = '', xlog = False)
if True:
## 2016
#treeMC_2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, Backgrounds_preVFP + Backgrounds_postVFP, 'MC'), name = 'MC', isdata = 0, close = True)
#treeDATA_EG2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, DoubleEG2016, 'DATA'), name = 'DATA', isdata = 1, close = True )
treeMC_2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, Backgrounds_postVFP, 'MC'), name = 'MC', isdata = 0, close = True)
treeDATA_EG2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, DoubleEG2016, 'DATA'), name = 'DATA', isdata = 1, close = True )
treeDATA_Mu2016 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, DoubleMuon2016, 'DATA'), name = 'DATA', isdata = 1, close = True)
# electrons
makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEBCR_mass', hname_MC = 'hEEBCR_mass', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False, sys_errors = sys['EE_2016'])
makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEBCR_mass_Z', hname_MC = 'hEEBCR_mass_Z', ylog = False, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1.4, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False, sys_errors = sys['EE_2016'])
makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEBCR_leadingEt', hname_MC = 'hEEBCR_leadingEt', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False, sys_errors = sys['EE_2016'])
makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEBCR_subleadingEt', hname_MC = 'hEEBCR_subleadingEt', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False, sys_errors = sys['EE_2016'])
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEPrompt_mass', hname_MC = 'hEEPrompt_mass', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEPrompt_mass_Z', hname_MC = 'hEEPrompt_mass_Z', ylog = False, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1.4, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEPrompt_leadingEt', hname_MC = 'hEEPrompt_leadingEt', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEPrompt_subleadingEt', hname_MC = 'hEEPrompt_subleadingEt', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEOnZ_mass', hname_MC = 'hEEOnZ_mass', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEOnZ_mass_Z', hname_MC = 'hEEOnZ_mass_Z', ylog = False, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1.3, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEOnZ_leadingEt', hname_MC = 'hEEOnZ_leadingEt', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hEEOnZ_subleadingEt', hname_MC = 'hEEOnZ_subleadingEt', ylog = True, treeDATA = treeDATA_EG2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
# muons
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMBCR_mass', hname_MC = 'hMMBCR_mass', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMBCR_mass_Z', hname_MC = 'hMMBCR_mass_Z', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMBCR_leadingPt', hname_MC = 'hMMBCR_leadingPt', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMBCR_subleadingPt', hname_MC = 'hMMBCR_subleadingPt', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMOnZ_mass', hname_MC = 'hMMOnZ_mass', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMOnZ_mass_Z', hname_MC = 'hMMOnZ_mass_Z', ylog = False, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1.3, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMOnZ_leadingPt', hname_MC = 'hMMOnZ_leadingPt', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2016, hname_DATA = 'hMMOnZ_subleadingPt', hname_MC = 'hMMOnZ_subleadingPt', ylog = True, treeDATA = treeDATA_Mu2016, treeMC = treeMC_2016, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2016, xlabel = '', outtag = '2016', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
if False:
treeMC_2017 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, Backgrounds_2017, 'MC'), name = 'MC', isdata = 0, close = True)
treeDATA_EG2017 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, DoubleEG2017, 'DATA'), name = 'DATA', isdata = 1, close = True)
## 2017
makeDataMCPlot(lumi = lumi2017, hname_DATA = 'hEEBCR_mass', hname_MC = 'hEEBCR_mass', ylog = True, treeDATA = treeDATA_EG2017, treeMC = treeMC_2017, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2017, xlabel = '', outtag = '2017', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2017, hname_DATA = 'hEEBCR_mass_Z', hname_MC = 'hEEBCR_mass_Z', ylog = True, treeDATA = treeDATA_EG2017, treeMC = treeMC_2017, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2017, xlabel = '', outtag = '2017', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2017, hname_DATA = 'hEEBCR_leadingEt', hname_MC = 'hEEBCR_leadingEt', ylog = True, treeDATA = treeDATA_EG2017, treeMC = treeMC_2017, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2017, xlabel = '', outtag = '2017', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2017, hname_DATA = 'hEEBCR_subleadingEt', hname_MC = 'hEEBCR_subleadingEt', ylog = True, treeDATA = treeDATA_EG2017, treeMC = treeMC_2017, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2017, xlabel = '', outtag = '2017', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
if False:
treeMC_2018 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, Backgrounds_2018, 'MC'), name = 'MC', isdata = 0, close = True)
treeDATA_EG2018 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, EGamma2018, 'DATA'), name = 'DATA', isdata = 1, close = True)
treeDATA_Mu2018 = Sample.Tree( fileName = helper.selectSamples(WORKPATH + filename, DoubleMuon2018, 'DATA'), name = 'DATA', isdata = 1, close = True)
## 2018
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEBCR_mass', hname_MC = 'hEEBCR_mass', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEBCR_mass_Z', hname_MC = 'hEEBCR_mass_Z', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEBCR_leadingEt', hname_MC = 'hEEBCR_leadingEt', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEBCR_subleadingEt', hname_MC = 'hEEBCR_subleadingEt', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEOnZ_mass', hname_MC = 'hEEOnZ_mass', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEOnZ_mass_Z', hname_MC = 'hEEOnZ_mass_Z', ylog = False, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1.3, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEOnZ_leadingEt', hname_MC = 'hEEOnZ_leadingEt', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hEEOnZ_subleadingEt', hname_MC = 'hEEOnZ_subleadingEt', ylog = True, treeDATA = treeDATA_EG2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_EG2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMBCR_mass', hname_MC = 'hMMBCR_mass', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMBCR_mass_Z', hname_MC = 'hMMBCR_mass_Z', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMBCR_leadingPt', hname_MC = 'hMMBCR_leadingPt', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMBCR_subleadingPt', hname_MC = 'hMMBCR_subleadingPt', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = 'SS background', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMOnZ_mass', hname_MC = 'hMMOnZ_mass', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMOnZ_mass_Z', hname_MC = 'hMMOnZ_mass_Z', ylog = False, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1.3, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMOnZ_leadingPt', hname_MC = 'hMMOnZ_leadingPt', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)
#makeDataMCPlot(lumi = lumi2018, hname_DATA = 'hMMOnZ_subleadingPt', hname_MC = 'hMMOnZ_subleadingPt', ylog = True, treeDATA = treeDATA_Mu2018, treeMC = treeMC_2018, inputdir = opts.input, hname_extra = '', label_extra = '', treeEXTRA = treeDATA_Mu2018, xlabel = '', outtag = '2018', yshift = 1000.0, LLlabel = 'Control Region: |#Delta#Phi| > #pi/2', leftlabel = '', xlog = False)