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plotAsimov_simultaneous.py
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plotAsimov_simultaneous.py
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import sys, os, string, re, pwd, ast, optparse, shlex, time
from array import array
from math import *
from decimal import *
grootargs = []
def callback_rootargs(option, opt, value, parser):
grootargs.append(opt)
### Define function for parsing options
def parseOptions():
global opt, args, runAllSteps
usage = ('usage: %prog [options]\n'
+ '%prog -h for help')
parser = optparse.OptionParser(usage)
# input options
parser.add_option('-d', '--dir', dest='SOURCEDIR', type='string',default='./combine_files/', help='run from the SOURCEDIR as working area, skip if SOURCEDIR is an empty string')
parser.add_option('', '--asimovModel',dest='ASIMOV',type='string',default='SM_125', help='Name of the asimov data mode')
parser.add_option('', '--asimovMass',dest='ASIMOVMASS',type='string',default='125.38', help='Asimov Mass')
parser.add_option('', '--unfoldModel',dest='UNFOLD',type='string',default='SM_125', help='Name of the unfolding model')
parser.add_option('', '--obsName',dest='OBSNAME', type='string',default='', help='Name of the observalbe, supported: "inclusive", "pT", "eta", "Njets"')
parser.add_option('', '--obsBins',dest='OBSBINS', type='string',default='', help='Bin boundaries for the diff. measurement separated by "|", e.g. as "|0|50|100|", use the defalut if empty string')
parser.add_option('', '--fixFrac', action='store_true', dest='FIXFRAC', default=False, help='Use results from fixed fraction fit, default is False')
parser.add_option('', '--unblind', action='store_true', dest='UNBLIND', default=False, help='Use real data')
parser.add_option('', '--theoryMass',dest='THEORYMASS', type='string',default='125.38', help='Mass value for theory prediction')
parser.add_option('', '--year', dest='YEAR', type='string',default='Full', help='Year -> 2016 or 2017 or 2018 or Full')
parser.add_option('', '--m4lLower', dest='LOWER_BOUND', type='int',default=105.0, help='Lower bound for m4l')
parser.add_option('', '--m4lUpper', dest='UPPER_BOUND', type='int',default=140.0, help='Upper bound for m4l')
parser.add_option("-l",action="callback",callback=callback_rootargs)
parser.add_option("-q",action="callback",callback=callback_rootargs)
parser.add_option("-b",action="callback",callback=callback_rootargs)
# store options and arguments as global variables
global opt, args
(opt, args) = parser.parse_args()
# parse the arguments and options
global opt, args, runAllSteps
parseOptions()
sys.argv = grootargs
from ROOT import *
from tdrStyle import *
setTDRStyle()
def checkDir(folder_path):
isdir = os.path.isdir(folder_path)
if not isdir:
print('Directory {} does not exist. Creating it.' .format(folder_path))
os.mkdir(folder_path)
modelName = opt.UNFOLD
physicalModel = 'v3'
asimovDataModel = opt.ASIMOV
asimovPhysicalModel = 'v2'
obsName = opt.OBSNAME
observableBins = opt.OBSBINS.split('|')
observableBins.pop()
observableBins.pop(0)
def plotAsimov_sim(asimovDataModel, asimovPhysicalModel, modelName, physicalModel, obsName, fstate, observableBins, recobin):
bin = 0
sourcedir = opt.SOURCEDIR
theorymass = opt.THEORYMASS
year = opt.YEAR
if year == '2016':
lumi = '35.9'
elif year == '2017':
lumi = '41.5'
elif year == '2018':
lumi = '59.7'
else:
lumi = '137'
nBins = len(observableBins)-1
channel = {"4mu":"1", "4e":"2", "2e2mu":"3", "4l":"2"} # 4l is dummy, won't be used
run = {"2016":"1", "2017":"2", "2018":"3", "Full": "2"}
# Load some libraries
ROOT.gSystem.AddIncludePath("-I$CMSSW_BASE/src/ ")
ROOT.gSystem.Load("$CMSSW_BASE/lib/$SCRAM_ARCH/libHiggsAnalysisCombinedLimit.so")
ROOT.gSystem.AddIncludePath("-I$ROOFITSYS/include")
ROOT.gSystem.AddIncludePath("-Iinclude/")
RooMsgService.instance().setGlobalKillBelow(RooFit.WARNING)
if(not opt.UNBLIND):
theorymass = theorymass + '.123456'
fname = 'higgsCombine_'+obsName+'_SigmaBin0.MultiDimFit.mH'+theorymass+'.root'
print(fname)
f_asimov = TFile(sourcedir + fname, "READ")
if (not opt.UNBLIND):
data = f_asimov.Get("toys/toy_asimov");
w_asimov = f_asimov.Get("w")
if (opt.UNBLIND):
data = w_asimov.data("data_obs")
w_asimov.loadSnapshot("clean")
trueH_asimov = {}
zjets_asimov = {}
ggzz_asimov = {}
fakeH_asimov = {}
out_trueH_asimov = {}
qqzz_asimov = {}
n_trueH_asimov = {}
for year in ["1", "2", "3"]:
n_trueH_asimov["4l_"+year] = 0.0
n_trueH_otherfid_asimov = {}
for year in ["1", "2", "3"]:
n_trueH_otherfid_asimov["4l_"+year] = 0.0
n_zjets_asimov = {}
for year in ["1", "2", "3"]:
n_zjets_asimov["4l_"+year] = 0.0
n_ggzz_asimov = {}
for year in ["1", "2", "3"]:
n_ggzz_asimov["4l_"+year] = 0.0
n_fakeH_asimov = {}
for year in ["1", "2", "3"]:
n_fakeH_asimov["4l_"+year] = 0.0
n_out_trueH_asimov = {}
for year in ["1", "2", "3"]:
n_out_trueH_asimov["4l_"+year] = 0.0
n_qqzz_asimov = {}
for year in ["1", "2", "3"]:
n_qqzz_asimov["4l_"+year] = 0.0
n_zz_asimov = {}
for year in ["1", "2", "3"]:
n_zz_asimov["4l_"+year] = 0.0
fStates = ['4mu','4e','2e2mu']
for year in ["1", "2", "3"]:
for fState in fStates:
for bin in range(nBins):
# In case of mass4l we have only one bin, so the third 'chan' part is not included in the name of the function
if (obsName!='mass4l'): trueH_asimov[fState+"_"+year+"Bin"+str(bin)] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_trueH"+fState+"Bin"+str(bin))
else: trueH_asimov[fState+"_"+year+"Bin"+str(bin)] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_trueH"+fState+"Bin"+str(bin))
print (fState+"_"+year+"Bin"+str(bin))
print ("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_trueH"+fState+"Bin"+str(bin))
print (trueH_asimov[fState+"_"+year+"Bin"+str(bin)].getVal())
if (obsName!='mass4l'):
zjets_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_bkg_zjets")
ggzz_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_bkg_ggzz")
fakeH_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_fakeH")
out_trueH_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_out_trueH")
qqzz_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_bkg_qqzz")
else:
zjets_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_bkg_zjets")
ggzz_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_bkg_ggzz")
fakeH_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_fakeH")
out_trueH_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_out_trueH")
qqzz_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_bkg_qqzz")
n_trueH_otherfid_asimov[fState+"_"+year] = 0.0
for bin in range(nBins):
if (bin==recobin): n_trueH_asimov[fState+"_"+year] = trueH_asimov[fState+"_"+year+"Bin"+str(bin)].getVal()
else: n_trueH_otherfid_asimov[fState+"_"+year] += trueH_asimov[fState+"_"+year+"Bin"+str(bin)].getVal()
n_zjets_asimov[fState+"_"+year] = zjets_asimov[fState+"_"+year].getVal()
n_ggzz_asimov[fState+"_"+year] = ggzz_asimov[fState+"_"+year].getVal()
n_fakeH_asimov[fState+"_"+year] = fakeH_asimov[fState+"_"+year].getVal()
n_out_trueH_asimov[fState+"_"+year] = out_trueH_asimov[fState+"_"+year].getVal()
n_qqzz_asimov[fState+"_"+year] = qqzz_asimov[fState+"_"+year].getVal()
n_zz_asimov[fState+"_"+year] = n_ggzz_asimov[fState+"_"+year]+n_qqzz_asimov[fState+"_"+year]
n_trueH_asimov["4l_"+year] += n_trueH_asimov[fState+"_"+year]
n_trueH_otherfid_asimov["4l_"+year] += n_trueH_otherfid_asimov[fState+"_"+year]
n_zjets_asimov["4l_"+year] += zjets_asimov[fState+"_"+year].getVal()
n_ggzz_asimov["4l_"+year] += ggzz_asimov[fState+"_"+year].getVal()
n_fakeH_asimov["4l_"+year] += fakeH_asimov[fState+"_"+year].getVal()
n_out_trueH_asimov["4l_"+year] += out_trueH_asimov[fState+"_"+year].getVal()
n_qqzz_asimov["4l_"+year] += qqzz_asimov[fState+"_"+year].getVal()
n_zz_asimov["4l_"+year] += n_ggzz_asimov[fState+"_"+year]+n_qqzz_asimov[fState+"_"+year]
for fState in fStates:
n_trueH_asimov[fState] = 0.0
n_trueH_otherfid_asimov[fState] = 0.0
n_fakeH_asimov[fState] = 0.0
n_out_trueH_asimov[fState] = 0.0
n_zz_asimov[fState] = 0.0
n_qqzz_asimov[fState] = 0.0
n_zjets_asimov[fState] = 0.0
for year in ["1", "2", "3"]:
n_trueH_asimov[fState] += n_trueH_asimov[fState+"_"+year]
n_trueH_otherfid_asimov[fState] += n_trueH_otherfid_asimov[fState+"_"+year]
n_fakeH_asimov[fState] += n_fakeH_asimov[fState+"_"+year]
n_out_trueH_asimov[fState] += n_out_trueH_asimov[fState+"_"+year]
n_zz_asimov[fState] += n_zz_asimov[fState+"_"+year]
n_qqzz_asimov[fState] += n_qqzz_asimov[fState+"_"+year]
n_zjets_asimov[fState] += n_zjets_asimov[fState+"_"+year]
n_trueH_asimov["4l"] = 0.0
n_trueH_otherfid_asimov["4l"] = 0.0
n_fakeH_asimov["4l"] = 0.0
n_out_trueH_asimov["4l"] = 0.0
n_zjets_asimov["4l"] = 0.0
n_zz_asimov["4l"] = 0.0
n_qqzz_asimov["4l"] = 0.0
for year in ["1", "2", "3"]:
n_trueH_asimov["4l"] += n_trueH_asimov["4l_"+year]
n_trueH_otherfid_asimov["4l"] += n_trueH_otherfid_asimov["4l_"+year]
n_fakeH_asimov["4l"] += n_fakeH_asimov["4l_"+year]
n_out_trueH_asimov["4l"] += n_out_trueH_asimov["4l_"+year]
n_zjets_asimov["4l"] += n_zjets_asimov["4l_"+year]
n_qqzz_asimov["4l"] += n_zz_asimov["4l_"+year]
n_zz_asimov["4l"] += n_zz_asimov["4l_"+year]
f_modelfit = TFile(sourcedir + fname, "READ")
w_modelfit = f_modelfit.Get("w")
# obsbin = "SigmaBin0"
# f_modelfit = TFile("higgsCombine"+obsName+"_"+obsbin+".MultiDimFit.mH125.root","READ")
w_modelfit = f_modelfit.Get("w")
sim = w_modelfit.pdf("model_s")
if (fstate=="4l"): pdfi = sim.getPdf("ch1_ch1_ch1") # dummy won't be used
else: pdfi = sim.getPdf("ch1_ch"+channel[fstate]+"_ch"+str(recobin+1))
CMS_zz4l_mass = w_modelfit.var("CMS_zz4l_mass")
w_modelfit.loadSnapshot("MultiDimFit")
trueH_modelfit = {}
zjets_modelfit = {}
ggzz_modelfit = {}
fakeH_modelfit = {}
out_trueH_modelfit = {}
qqzz_modelfit = {}
n_trueH_modelfit = {}
for year in ["1", "2", "3"]:
n_trueH_modelfit["4l_"+year] = 0.0
n_trueH_otherfid_modelfit = {}
for year in ["1", "2", "3"]:
n_trueH_otherfid_modelfit["4l_"+year] = 0.0
n_zjets_modelfit = {}
for year in ["1", "2", "3"]:
n_zjets_modelfit["4l_"+year] = 0.0
n_ggzz_modelfit = {}
for year in ["1", "2", "3"]:
n_ggzz_modelfit["4l_"+year] = 0.0
n_fakeH_modelfit = {}
for year in ["1", "2", "3"]:
n_fakeH_modelfit["4l_"+year] = 0.0
n_out_trueH_modelfit = {}
for year in ["1", "2", "3"]:
n_out_trueH_modelfit["4l_"+year] = 0.0
n_qqzz_modelfit = {}
for year in ["1", "2", "3"]:
n_qqzz_modelfit["4l_"+year] = 0.0
n_zz_modelfit = {}
for year in ["1", "2", "3"]:
n_zz_modelfit["4l_"+year] = 0.0
for year in ["1", "2", "3"]:
for fState in fStates:
for bin in range(nBins):
if(obsName!='mass4l'):
trueH_modelfit[fState+"_"+year+"Bin"+str(bin)] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_trueH"+fState+"Bin"+str(bin))
trueH_modelfit[fState+"_"+year+"Bin"+str(bin)] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_trueH"+fState+"Bin"+str(bin))
else:
trueH_modelfit[fState+"_"+year+"Bin"+str(bin)] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_trueH"+fState+"Bin"+str(bin))
trueH_modelfit[fState+"_"+year+"Bin"+str(bin)] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_trueH"+fState+"Bin"+str(bin))
print (fState+"_"+year+"Bin"+str(bin))
print ("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_trueH"+fState+"Bin"+str(bin))
print (trueH_modelfit[fState+"_"+year+"Bin"+str(bin)].getVal())
if(obsName!='mass4l'):
zjets_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_bkg_zjets")
ggzz_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_bkg_ggzz")
fakeH_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_fakeH")
out_trueH_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_out_trueH")
qqzz_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+"_proc_bkg_qqzz")
else:
zjets_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_bkg_zjets")
ggzz_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_bkg_ggzz")
fakeH_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_fakeH")
out_trueH_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_out_trueH")
qqzz_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_binch"+year+"_ch"+channel[fState]+"_proc_bkg_qqzz")
n_trueH_otherfid_modelfit[fState+"_"+year] = 0.0
for bin in range(nBins):
if (bin==recobin): n_trueH_modelfit[fState+"_"+year] = trueH_modelfit[fState+"_"+year+"Bin"+str(bin)].getVal()
else: n_trueH_otherfid_modelfit[fState+"_"+year] += trueH_modelfit[fState+"_"+year+"Bin"+str(bin)].getVal()
n_zjets_modelfit[fState+"_"+year] = zjets_modelfit[fState+"_"+year].getVal()
n_ggzz_modelfit[fState+"_"+year] = ggzz_modelfit[fState+"_"+year].getVal()
n_fakeH_modelfit[fState+"_"+year] = fakeH_modelfit[fState+"_"+year].getVal()
n_out_trueH_modelfit[fState+"_"+year] = out_trueH_modelfit[fState+"_"+year].getVal()
n_qqzz_modelfit[fState+"_"+year] = qqzz_modelfit[fState+"_"+year].getVal()
n_zz_modelfit[fState+"_"+year] = n_ggzz_modelfit[fState+"_"+year]+n_qqzz_modelfit[fState+"_"+year]
n_trueH_modelfit["4l_"+year] += n_trueH_modelfit[fState+"_"+year]
n_trueH_otherfid_modelfit["4l_"+year] += n_trueH_otherfid_modelfit[fState+"_"+year]
n_zjets_modelfit["4l_"+year] += zjets_modelfit[fState+"_"+year].getVal()
n_ggzz_modelfit["4l_"+year] += ggzz_modelfit[fState+"_"+year].getVal()
n_fakeH_modelfit["4l_"+year] += fakeH_modelfit[fState+"_"+year].getVal()
n_out_trueH_modelfit["4l_"+year] += out_trueH_modelfit[fState+"_"+year].getVal()
n_qqzz_modelfit["4l_"+year] += qqzz_modelfit[fState+"_"+year].getVal()
n_zz_modelfit["4l_"+year] += n_ggzz_modelfit[fState+"_"+year]+n_qqzz_modelfit[fState+"_"+year]
for fState in fStates:
n_trueH_modelfit[fState] = 0.0
n_trueH_otherfid_modelfit[fState] = 0.0
n_fakeH_modelfit[fState] = 0.0
n_out_trueH_modelfit[fState] = 0.0
n_zz_modelfit[fState] = 0.0
n_qqzz_modelfit[fState] = 0.0
n_ggzz_modelfit[fState] = 0.0
n_zjets_modelfit[fState] = 0.0
for year in ["1", "2", "3"]:
n_trueH_modelfit[fState] += n_trueH_modelfit[fState+"_"+year]
n_trueH_otherfid_modelfit[fState] += n_trueH_otherfid_modelfit[fState+"_"+year]
n_fakeH_modelfit[fState] += n_fakeH_modelfit[fState+"_"+year]
n_out_trueH_modelfit[fState] += n_out_trueH_modelfit[fState+"_"+year]
n_zz_modelfit[fState] += n_zz_modelfit[fState+"_"+year]
n_qqzz_modelfit[fState] += n_qqzz_modelfit[fState+"_"+year]
n_ggzz_modelfit[fState] += n_ggzz_modelfit[fState+"_"+year]
n_zjets_modelfit[fState] += n_zjets_modelfit[fState+"_"+year]
n_trueH_modelfit["4l"] = 0.0
n_trueH_otherfid_modelfit["4l"] = 0.0
n_fakeH_modelfit["4l"] = 0.0
n_out_trueH_modelfit["4l"] = 0.0
n_zjets_modelfit["4l"] = 0.0
n_zz_modelfit["4l"] = 0.0
n_qqzz_modelfit["4l"] = 0.0
n_ggzz_modelfit["4l"] = 0.0
for year in ["1", "2", "3"]:
n_trueH_modelfit["4l"] += n_trueH_modelfit["4l_"+year]
n_trueH_otherfid_modelfit["4l"] += n_trueH_otherfid_modelfit["4l_"+year]
n_fakeH_modelfit["4l"] += n_fakeH_modelfit["4l_"+year]
n_out_trueH_modelfit["4l"] += n_out_trueH_modelfit["4l_"+year]
n_zjets_modelfit["4l"] += n_zjets_modelfit["4l_"+year]
n_zz_modelfit["4l"] += n_zz_modelfit["4l_"+year]
n_qqzz_modelfit["4l"] += n_qqzz_modelfit["4l_"+year]
n_ggzz_modelfit["4l"] += n_ggzz_modelfit["4l_"+year]
CMS_channel = w.cat("CMS_channel")
mass = w.var("CMS_zz4l_mass").frame(RooFit.Bins(20))
#mass = w.var("CMS_zz4l_mass").frame(RooFit.Bins(45))
if (fstate=="4l"):
datacut = ''
for year in ["1", "2", "3"]:
for fState in fStates:
if(obsName!='mass4l'): datacut += "CMS_channel==CMS_channel::ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+" || "
else: datacut += "CMS_channel==CMS_channel::ch"+year+"_ch"+channel[fState]+" || "
datacut = datacut.rstrip(" || ")
data = data.reduce(RooFit.Cut(datacut))
data.plotOn(mass)
sim.plotOn(mass,RooFit.LineColor(kOrange-3), RooFit.ProjWData(data,True))
comp_otherfid = ''
for bin in range(nBins):
if bin==recobin: continue
for year in ["1", "2", "3"]:
for fState in fStates:
if(obsName!='mass4l'): comp_otherfid += "shapeSig_trueH"+fState+"Bin"+str(bin)+"_ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+","
else: comp_otherfid += "shapeSig_trueH"+fState+"Bin"+str(bin)+"_ch"+year+"_ch"+channel[fState]+","
comp_otherfid = comp_otherfid.rstrip(',')
comp_out = ''
comp_fake = ''
comp_zz = ''
comp_zx = ''
for year in ["1", "2", "3"]:
for fState in fStates:
if(obsName!='mass4l'):
comp_out += "shapeBkg_out_trueH_ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+","
comp_fake += "shapeBkg_fakeH_ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+","
comp_zz += "shapeBkg_bkg_ggzz_ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+",shapeBkg_bkg_qqzz_ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+","
comp_zx += "shapeBkg_bkg_zjets_ch"+year+"_ch"+channel[fState]+"_ch"+str(recobin+1)+","
else:
comp_out += "shapeBkg_out_trueH_ch"+year+"_ch"+channel[fState]+","
comp_fake += "shapeBkg_fakeH_ch"+year+"_ch"+channel[fState]+","
comp_zz += "shapeBkg_bkg_ggzz_ch"+year+"_ch"+channel[fState]+",shapeBkg_bkg_qqzz_ch"+year+"_ch"+channel[fState]+","
comp_zx += "shapeBkg_bkg_zjets_ch"+year+"_ch"+channel[fState]+","
comp_out = comp_out.rstrip(',')
comp_fake = comp_fake.rstrip(',')
comp_zz = comp_zz.rstrip(',')
comp_zx = comp_zx.rstrip(',')
sim.plotOn(mass, RooFit.LineColor(kGreen+2), RooFit.Components(comp_zx+","+comp_zz+","+comp_fake+","+comp_otherfid+","+comp_out), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kOrange-3), RooFit.LineStyle(2), RooFit.Components(comp_zx+","+comp_zz+","+comp_fake+","+comp_otherfid), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kAzure-3), RooFit.Components(comp_zx+","+comp_zz+","+comp_fake), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kViolet), RooFit.Components(comp_zx+","+comp_zz), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kViolet+2), RooFit.Components(comp_zx), RooFit.ProjWData(data,True))
data.plotOn(mass)
else:
datacut = ''
for year in ["1", "2", "3"]:
if(obsName!='mass4l'):
datacut += "CMS_channel==CMS_channel::ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+" || "
else:
datacut += "CMS_channel==CMS_channel::ch"+year+"_ch"+channel[fstate]+" || "
datacut = datacut.rstrip(" || ")
data = data.reduce(RooFit.Cut(datacut))
data.plotOn(mass)
sim.plotOn(mass,RooFit.LineColor(kOrange-3), RooFit.ProjWData(data,True))
comp_otherfid = ''
for bin in range(nBins):
if bin==recobin: continue
for year in ["1", "2", "3"]:
if(obsName!='mass4l'):
comp_otherfid += "shapeSig_trueH"+fstate+"Bin"+str(bin)+"_ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+","
else:
comp_otherfid += "shapeSig_trueH"+fstate+"Bin"+str(bin)+"_ch"+year+"_ch"+channel[fstate]+","
comp_otherfid = comp_otherfid.rstrip(',')
comp_out = ''
comp_fake = ''
comp_zz = ''
comp_zx = ''
for year in ["1", "2", "3"]:
if(obsName!='mass4l'):
comp_out += "shapeBkg_out_trueH_ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+","
comp_fake += "shapeBkg_fakeH_ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+","
comp_zz += "shapeBkg_bkg_ggzz_ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+",shapeBkg_bkg_qqzz_ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+","
comp_zx += "shapeBkg_bkg_zjets_ch"+year+"_ch"+channel[fstate]+"_ch"+str(recobin+1)+","
else:
comp_out += "shapeBkg_out_trueH_ch"+year+"_ch"+channel[fstate]+","
comp_fake += "shapeBkg_fakeH_ch"+year+"_ch"+channel[fstate]+","
comp_zz += "shapeBkg_bkg_ggzz_ch"+year+"_ch"+channel[fstate]+",shapeBkg_bkg_qqzz_ch"+year+"_ch"+channel[fstate]+","
comp_zx += "shapeBkg_bkg_zjets_ch"+year+"_ch"+channel[fstate]+","
comp_out = comp_out.rstrip(',')
comp_fake = comp_fake.rstrip(',')
comp_zz = comp_zz.rstrip(',')
comp_zx = comp_zx.rstrip(',')
sim.plotOn(mass, RooFit.LineColor(kGreen+2), RooFit.Components(comp_zx+","+comp_zz+","+comp_fake+","+comp_otherfid+","+comp_out), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kOrange-3), RooFit.LineStyle(2), RooFit.Components(comp_zx+","+comp_zz+","+comp_fake+","+comp_otherfid), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kAzure-3), RooFit.Components(comp_zx+","+comp_zz+","+comp_fake), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kViolet), RooFit.Components(comp_zx+","+comp_zz), RooFit.ProjWData(data,True))
sim.plotOn(mass, RooFit.LineColor(kViolet+2), RooFit.Components(comp_zx), RooFit.ProjWData(data,True))
data.plotOn(mass)
gStyle.SetOptStat(0)
c = TCanvas("c","c",1000,800)
c.cd()
#dummy = TH1D("","",1,105.6,160.6)
dummy = TH1D("","",1,opt.LOWER_BOUND,opt.UPPER_BOUND)
dummy.SetBinContent(1,2)
dummy.SetFillColor(0)
dummy.SetLineColor(0)
dummy.SetLineWidth(0)
dummy.SetMarkerSize(0)
dummy.SetMarkerColor(0)
dummy.GetYaxis().SetTitle("Events / (2.33 GeV)")
dummy.GetXaxis().SetTitle("m_{"+fstate.replace("mu","#mu")+"} [GeV]")
if (opt.UNBLIND):
dummy.SetMaximum(max(1.5*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),1.0))
# if (obsName=="massZ2" and recobin==0): dummy.SetMaximum(max(3.0*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),3.5))
else:
dummy.SetMaximum(max(1.5*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),1.0))
if (obsName=="massZ2" and recobin==0): dummy.SetMaximum(max(3.0*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),3.5))
#dummy.SetMaximum(0.5*max(n_trueH_asimov[fstate],n_zz_asimov[fstate],2.5))
dummy.SetMinimum(0.0)
dummy.Draw()
dummy_data = TH1D()
dummy_data.SetMarkerColor(kBlack)
dummy_data.SetMarkerStyle(20)
dummy_fid = TH1D()
dummy_fid.SetLineColor(kOrange-3)
dummy_fid.SetLineWidth(2)
dummy_other = TH1D()
dummy_other.SetLineColor(kOrange-3)
dummy_other.SetLineWidth(2)
dummy_other.SetLineStyle(2)
dummy_out = TH1D()
dummy_out.SetLineColor(kGreen+2)
dummy_out.SetLineWidth(2)
dummy_fake = TH1D()
dummy_fake.SetLineColor(kAzure-3)
dummy_fake.SetLineWidth(2)
dummy_zz = TH1D()
dummy_zz.SetLineColor(kViolet)
dummy_zz.SetLineWidth(2)
dummy_zx = TH1D()
dummy_zx.SetLineColor(kViolet+2)
dummy_zx.SetLineWidth(2)
if opt.UPPER_BOUND == 160: legend = TLegend(.60,.41,.93,.89)
else: legend = TLegend(.20,.41,.53,.89)
# legend.AddEntry(dummy_data,"Asimov Data (SM m(H) = "+opt.ASIMOVMASS+" GeV)","ep")
if (not opt.UNBLIND):
legend.AddEntry(dummy_data,"Asimov Data (SM m(H) = "+opt.ASIMOVMASS+" GeV)","ep")
else:
legend.AddEntry(dummy_data,"Data","ep")
legend.AddEntry(dummy_fid,"N_{fid.}^{fit} = %.2f (exp. = %.2f)"%(n_trueH_modelfit[fstate],n_trueH_asimov[fstate]), "l")
legend.AddEntry(dummy_other,"N_{other fid.}^{fit} = %.2f (exp = %.2f)"%(n_trueH_otherfid_modelfit[fstate],n_trueH_otherfid_asimov[fstate]), "l")
legend.AddEntry(dummy_out, "N_{out}^{fit} = %.2f (exp. = %.2f)"%(n_out_trueH_modelfit[fstate],n_out_trueH_asimov[fstate]), "l")
legend.AddEntry(dummy_fake, "N_{wrong}^{fit} = %.2f (exp. = %.2f)"%(n_fakeH_modelfit[fstate],n_fakeH_asimov[fstate]), "l")
legend.AddEntry(dummy_zz, "N_{ZZ}^{fit} = %.2f (exp. = %.2f)"%(n_zz_modelfit[fstate],n_zz_asimov[fstate]), "l")
legend.AddEntry(dummy_zx, "N_{Z+X}^{fit} = %.2f (exp. = %.2f)"%(n_zjets_modelfit[fstate],n_zjets_asimov[fstate]), "l")
print('qqZZ', fstate, n_qqzz_modelfit[fstate])
print('ggZZ', fstate, n_ggzz_modelfit[fstate])
#legend.SetTextSize(0.03)
#if (not opt.UNBLIND):
# legend.AddEntry(dummy_data,"Asimov Data (SM m(H) = "+opt.ASIMOVMASS+" GeV)","ep")
#else:
# legend.AddEntry(dummy_data,"Data","ep")
#legend.AddEntry(dummy_fid,"Fiducial Signal", "l")
#legend.AddEntry(dummy_other,"Other Bin Fiducial Signal", "l")
#legend.AddEntry(dummy_out, "Non-fiducial Signal", "l")
#legend.AddEntry(dummy_fake, "Non-resonant Signal", "l")
#legend.AddEntry(dummy_zz, "ZZ", "l")
#legend.AddEntry(dummy_zx, "Z+X", "l")
legend.SetShadowColor(0);
legend.SetFillColor(0);
legend.SetLineColor(0);
legend.Draw()
mass.Draw("same")
if (obsName=="pT4l"):
label="p_{T}^{H}"
unit="GeV"
elif(obsName=="pT4lj"):
label="p_{T}^{Hj}"
unit="GeV"
elif (obsName=="massZ2"):
label = "m(Z_{2})"
unit = "GeV"
elif (obsName=="massZ1"):
label = "m(Z_{1})"
unit = "GeV"
elif (obsName=="nJets" or obsName=="njets_reco_pt30_eta4p7"):
label = "N(jets) |#eta|<4.7"
unit = ""
elif (obsName=="njets_pt30_eta2p5"):
label = "N(jets) |#eta|<2.5"
unit = ""
elif (obsName=='pt_leadingjet_pt30_eta4p7'):
label = "p_{T}(jet)"
unit = "GeV"
elif (obsName=='pt_leadingjet_pt30_eta2p5'):
label = "p_{T}(jet) |#eta|<2.5"
unit = "GeV"
elif (obsName=='absdeltarapidity_hleadingjet_pt30_eta4p7'):
label = "|y(H)-y(jet)|"
unit = ""
elif (obsName=='absdeltarapidity_hleadingjet_pt30_eta2p5'):
label = "|y(H)-y(jet)| |#eta|<2.5"
unit = ""
elif (obsName=='absrapidity_leadingjet_pt30_eta4p7'):
label = "|y(jet)|"
unit = ""
elif (obsName=='absrapidity_leadingjet_pt30_eta2p5'):
label = "|y(jet)| |#eta|<2.5"
unit = ""
elif (obsName=="rapidity4l"):
label = "|y^{H}|"
unit = ""
elif (obsName=="costhetastar"):
label = "|cos#theta*|"
unit = ""
elif (obsName=="costhetaZ1"):
label = "|cos#theta_{1}|"
unit = ""
elif (obsName=="cosTheta2"):
label = "|cos#theta_{2}|"
unit = ""
elif (obsName=="phi"):
label = "|#Phi|"
unit = ""
elif (obsName=="Phi"):
label = "|#Phi^{#star}|"
unit = ""
elif (obsName=="mass4l"):
label = "inclusive"
unit = ""
else:
label = obsName
unit = ""
latex2 = TLatex()
latex2.SetNDC()
latex2.SetTextSize(0.5*c.GetTopMargin())
latex2.SetTextFont(42)
latex2.SetTextAlign(31) # align right
# latex2.DrawLatex(0.87, 0.95,"35.9 fb^{-1} at #sqrt{s} = 13 TeV")
# latex2.DrawLatex(0.87, 0.95,"41.4 fb^{-1} at #sqrt{s} = 13 TeV") # 2017
# latex2.DrawLatex(0.87, 0.95,"59.7 fb^{-1} at #sqrt{s} = 13 TeV") # 2017
# latex2.DrawLatex(0.87, 0.95,"136.0 fb^{-1} at #sqrt{s} = 13 TeV") # 2017
latex2.DrawLatex(0.95, 0.95,lumi+" fb^{-1} (#sqrt{s} = 13 TeV)") # 2017
latex2.SetTextSize(0.8*c.GetTopMargin())
latex2.SetTextFont(62)
latex2.SetTextAlign(11) # align right
# latex2.DrawLatex(0.19, 0.95, "CMS")
latex2.SetTextSize(0.6*c.GetTopMargin())
latex2.SetTextFont(52)
latex2.SetTextAlign(11)
# latex2.DrawLatex(0.30, 0.95, "Preliminary")
latex2.SetTextFont(42)
latex2.SetTextSize(0.45*c.GetTopMargin())
#latex2.DrawLatex(0.20,0.85, observableBins[recobin]+" "+unit+" < "+label+" < "+observableBins[recobin+1]+" "+unit+" Unfolding model: "+modelName.replace("_"," ")+" GeV")
if (obsName!='mass4l'): latex2.DrawLatex(0.65,0.85, observableBins[recobin]+" "+unit+" < "+label+" < "+observableBins[recobin+1]+" "+unit)
checkDir("plots")
checkDir("plots/"+obsName)
if (not opt.UNBLIND):
checkDir("plots/"+obsName+"/asimov")
checkDir("plots/"+obsName+"/asimov/model")
c.SaveAs("plots/"+obsName+"/asimov/model/asimovdata_"+asimovDataModel+"_"+year+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".pdf")
c.SaveAs("plots/"+obsName+"/asimov/model/asimovdata_"+asimovDataModel+"_"+year+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".png")
else:
checkDir("plots/"+obsName+"/data")
checkDir("plots/"+obsName+"/data/model")
c.SaveAs("plots/"+obsName+"/data/model/data_unfoldwith_"+modelName+"_"+year+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".pdf")
c.SaveAs("plots/"+obsName+"/data/model/data_unfoldwith_"+modelName+"_"+year+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".png")
fStates = ["4e","4mu","2e2mu","4l"]
for fState in fStates:
for recobin in range(len(observableBins)-1):
plotAsimov_sim(asimovDataModel, asimovPhysicalModel, modelName, physicalModel, obsName, fState, observableBins, recobin)