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plotShapes.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)
def generateName(_year, _fStateNumber, _recobin, _fState, _bin, _physicalModel, _observableBins, _obsName):
_years = {"1":"2016", "2":"2017", "3":"2018"}
if _physicalModel != 'v3':
# 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' and _obsName!='mass4l_zzfloating'):
binName = "ch"+_year+"_ch"+_fStateNumber+"_ch"+str(_recobin+1)
procName = _fState+"Bin"+str(_bin)
else:
binName = "ch"+_year+"_ch"+_fStateNumber
procName = _fState+"Bin"+str(_bin)
else:
_obsName_v3 = {'pT4l': 'PTH', 'rapidity4l': 'YH', 'pTj1': 'PTJET', 'njets_pt30_eta4p7': 'NJ'}
if _obsName not in _obsName_v3:
_obsName_v3[_obsName] = _obsName
if '_' in obsName and not 'floating' in obsName and not 'kL' in obsName and obsName != 'njets_pt30_eta4p7':
_recobin_final = str(_observableBins[_recobin][0]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_recobin][1]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_recobin][2]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_recobin][3]).replace('.', 'p').replace('-','m')
_genbin_final = str(_observableBins[_bin][0]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_bin][1]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_bin][2]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_bin][3]).replace('.', 'p').replace('-','m')
else:
_recobin_final = str(_observableBins[_recobin]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_recobin+1]).replace('.', 'p').replace('-','m')
if int(_observableBins[_recobin+1]) > 1000:
_recobin_final = 'GT'+str(int(_observableBins[_recobin]))
_genbin_final = str(_observableBins[_bin]).replace('.', 'p').replace('-','m')+'_'+str(_observableBins[_bin+1]).replace('.', 'p').replace('-','m')
if int(_observableBins[_bin+1]) > 1000:
_genbin_final = 'GT'+str(int(_observableBins[_bin]))
binName = "hzz_" + _obsName_v3[_obsName] + "_" + _recobin_final + "_cat" + _fState + "_" + _years[_year]
procName = _obsName_v3[_obsName] + "_" + _genbin_final
return binName, procName
def plotAsimov_sim(modelName, physicalModel, obsName, fstate, observableBins, recobin):
sourcedir = opt.SOURCEDIR
theorymass = opt.THEORYMASS
year = opt.YEAR
if year == '2016':
lumi = '36.3'
years = [""]
elif year == '2017':
lumi = '41.5'
years = [""]
elif year == '2018':
lumi = '59.7'
years = [""]
else:
lumi = '138'
years = ["1", "2", "3"]
nBins = len(observableBins)
if not doubleDiff: nBins = nBins-1 #in case of 1D measurement the number of bins is -1 the length of the list of bin boundaries
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"}
SignalNames = {"v3":"smH_", "v2":"trueH", "v4":"trueH", "kLambda": "trueH"}
CombNames = {"v3":"nonResH", "v2":"fakeH", "v4":"fakeH", "kLambda":"fakeH"}
OutNames = {"v3":"OutsideAcceptance", "v2":"out_trueH", "v4":"out_trueH", "kLambda":"out_trueH"}
# 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'
if physicalModel == 'v3':
fname = 'higgsCombine_'+obsName+'_r_smH_0.MultiDimFit.mH'+theorymass+'.root'
elif physicalModel == 'kLambda':
fname = 'higgsCombine_'+obsName+'.MultiDimFit.mH'+theorymass+'.root'
else:
fname = 'higgsCombine_'+obsName+'_r2e2muBin0.MultiDimFit.mH'+theorymass+'.root'
print 'combine file: ', 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")
##### ------------------------ Normalisation values for Asimov dataset ------------------------ #####
trueH_asimov = {}
zjets_asimov = {}
ggzz_asimov = {}
fakeH_asimov = {}
out_trueH_asimov = {}
qqzz_asimov = {}
n_trueH_asimov = {}
for year in years:
n_trueH_asimov["4l_"+year] = 0.0
n_trueH_otherfid_asimov = {}
for year in years:
n_trueH_otherfid_asimov["4l_"+year] = 0.0
n_zjets_asimov = {}
for year in years:
n_zjets_asimov["4l_"+year] = 0.0
n_ggzz_asimov = {}
for year in years:
n_ggzz_asimov["4l_"+year] = 0.0
n_fakeH_asimov = {}
for year in years:
n_fakeH_asimov["4l_"+year] = 0.0
n_out_trueH_asimov = {}
for year in years:
n_out_trueH_asimov["4l_"+year] = 0.0
n_qqzz_asimov = {}
for year in years:
n_qqzz_asimov["4l_"+year] = 0.0
n_zz_asimov = {}
for year in years:
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):
bin_name, process_name = generateName(year, channel[fState], recobin, fState, bin, physicalModel, observableBins, obsName)
trueH_asimov[fState+"_"+year+"Bin"+str(bin)] = w_asimov.function("n_exp_final_bin"+bin_name+"_proc_"+SignalNames[physicalModel]+process_name)
print (fState+"_"+year+"Bin"+str(bin))
print ("n_exp_final_bin"+bin_name+"_proc_"+SignalNames[physicalModel]+process_name)
print (trueH_asimov[fState+"_"+year+"Bin"+str(bin)].getVal())
zjets_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_bin"+bin_name+"_proc_bkg_zjets")
ggzz_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_bin"+bin_name+"_proc_bkg_ggzz")
fakeH_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_bin"+bin_name+"_proc_"+CombNames[physicalModel])
out_trueH_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_bin"+bin_name+"_proc_"+OutNames[physicalModel])
qqzz_asimov[fState+"_"+year] = w_asimov.function("n_exp_final_bin"+bin_name+"_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]
# Sum over the years
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]
# Sum over the final states
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]
##### ------------------------ Normalisation values for modelfit ------------------------ #####
f_modelfit = TFile(sourcedir + fname, "READ")
w_modelfit = f_modelfit.Get("w")
sim = w_modelfit.pdf("model_s")
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 years:
n_trueH_modelfit["4l_"+year] = 0.0
n_trueH_otherfid_modelfit = {}
for year in years:
n_trueH_otherfid_modelfit["4l_"+year] = 0.0
n_zjets_modelfit = {}
for year in years:
n_zjets_modelfit["4l_"+year] = 0.0
n_ggzz_modelfit = {}
for year in years:
n_ggzz_modelfit["4l_"+year] = 0.0
n_fakeH_modelfit = {}
for year in years:
n_fakeH_modelfit["4l_"+year] = 0.0
n_out_trueH_modelfit = {}
for year in years:
n_out_trueH_modelfit["4l_"+year] = 0.0
n_qqzz_modelfit = {}
for year in years:
n_qqzz_modelfit["4l_"+year] = 0.0
n_zz_modelfit = {}
for year in years:
n_zz_modelfit["4l_"+year] = 0.0
fStates = ['4mu','4e','2e2mu']
for year in ["1", "2", "3"]:
for fState in fStates:
for bin in range(nBins):
bin_name, process_name = generateName(year, channel[fState], recobin, fState, bin, physicalModel, observableBins, obsName)
trueH_modelfit[fState+"_"+year+"Bin"+str(bin)] = w_modelfit.function("n_exp_final_bin"+bin_name+"_proc_"+SignalNames[physicalModel]+process_name)
print (fState+"_"+year+"Bin"+str(bin))
print ("n_exp_final_bin"+bin_name+"_proc_"+SignalNames[physicalModel]+process_name)
print (trueH_modelfit[fState+"_"+year+"Bin"+str(bin)].getVal())
zjets_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_bin"+bin_name+"_proc_bkg_zjets")
ggzz_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_bin"+bin_name+"_proc_bkg_ggzz")
fakeH_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_bin"+bin_name+"_proc_"+CombNames[physicalModel])
out_trueH_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_bin"+bin_name+"_proc_"+OutNames[physicalModel])
qqzz_modelfit[fState+"_"+year] = w_modelfit.function("n_exp_final_bin"+bin_name+"_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]
# Sum over the years
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_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_zjets_modelfit[fState] += n_zjets_modelfit[fState+"_"+year]
# Sum over the final states
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
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_qqzz_modelfit["4l"] += n_zz_modelfit["4l_"+year]
n_zz_modelfit["4l"] += n_zz_modelfit["4l_"+year]
##### ------------------------ Data ------------------------ #####
CMS_channel = w.cat("CMS_channel")
mass = w.var("CMS_zz4l_mass").frame(RooFit.Bins(30))
if (fstate=="4l"):
datacut = ''
for year in ["1", "2", "3"]:
for fState in fStates:
bin_name, process_name = generateName(year, channel[fState], recobin, fState, bin, physicalModel, observableBins, obsName)
if(obsName!='mass4l' and obsName!='mass4l_zzfloating'):
datacut += "CMS_channel==CMS_channel::"+bin_name+" || "
else:
datacut += "CMS_channel==CMS_channel::"+bin_name+" || "
datacut = datacut.rstrip(" || ")
data = data.reduce(RooFit.Cut(datacut))
data.plotOn(mass)
sim.plotOn(mass,RooFit.LineColor(kOrange-3), RooFit.ProjWData(data,True))
else:
datacut = ''
for year in ["1", "2", "3"]:
bin_name, process_name = generateName(year, channel[fstate], recobin, fstate, bin, physicalModel, observableBins, obsName)
if(obsName!='mass4l' and obsName!='mass4l_zzfloating'):
datacut += "CMS_channel==CMS_channel::"+bin_name+" || "
else:
datacut += "CMS_channel==CMS_channel::"+bin_name+" || "
datacut = datacut.rstrip(" || ")
data = data.reduce(RooFit.Cut(datacut))
data.plotOn(mass)
sim.plotOn(mass,RooFit.LineColor(kOrange-3), RooFit.ProjWData(data,True))
##### ------------------------ Shapes ------------------------ #####
if (fstate!="4l"):
comp_otherfid = ''
for bin in range(nBins):
if bin==recobin: continue
for year in ["1", "2", "3"]:
bin_name, process_name = generateName(year, channel[fstate], recobin, fstate, bin, physicalModel, observableBins, obsName)
comp_otherfid += "shapeSig_"+SignalNames[physicalModel]+process_name+"_"+bin_name+","
comp_otherfid = comp_otherfid.rstrip(',')
comp_out = ''
comp_fake = ''
comp_zz = ''
comp_zx = ''
for year in ["1", "2", "3"]:
bin_name, process_name = generateName(year, channel[fstate], recobin, fstate, 0, physicalModel, observableBins, obsName)
comp_out += "shapeBkg_"+OutNames[physicalModel]+"_"+bin_name+","
comp_fake += "shapeBkg_"+CombNames[physicalModel]+"_"+bin_name+","
comp_zz += "shapeBkg_bkg_ggzz_"+bin_name+",shapeBkg_bkg_qqzz_"+bin_name+","
comp_zx += "shapeBkg_bkg_zjets_"+bin_name+","
comp_out = comp_out.rstrip(',')
comp_fake = comp_fake.rstrip(',')
comp_zz = comp_zz.rstrip(',')
comp_zx = comp_zx.rstrip(',')
else: #if fstate!=4 a loop over the threee final states is necessary
comp_otherfid = ''
for bin in range(nBins):
if bin==recobin: continue
for year in ["1", "2", "3"]:
for fState in fStates:
bin_name, process_name = generateName(year, channel[fState], recobin, fState, bin, physicalModel, observableBins, obsName)
comp_otherfid += "shapeSig_"+SignalNames[physicalModel]+process_name+"_"+bin_name+","
comp_otherfid = comp_otherfid.rstrip(',')
comp_out = ''
comp_fake = ''
comp_zz = ''
comp_zx = ''
for year in ["1", "2", "3"]:
for fState in fStates:
bin_name, process_name = generateName(year, channel[fState], recobin, fState, 0, physicalModel, observableBins, obsName)
comp_out += "shapeBkg_"+OutNames[physicalModel]+"_"+bin_name+","
comp_fake += "shapeBkg_"+CombNames[physicalModel]+"_"+bin_name+","
comp_zz += "shapeBkg_bkg_ggzz_"+bin_name+",shapeBkg_bkg_qqzz_"+bin_name+","
comp_zx += "shapeBkg_bkg_zjets_"+bin_name+","
comp_out = comp_out.rstrip(',')
comp_fake = comp_fake.rstrip(',')
comp_zz = comp_zz.rstrip(',')
comp_zx = comp_zx.rstrip(',')
print(comp_zx)
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)
##### ------------------------ Plot ------------------------ #####
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 / (1.83 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 fstate=='4e': dummy.SetMaximum(max(1*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),1.0))
elif fstate=='4l': dummy.SetMaximum(max(0.2*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),1.0))
else: dummy.SetMaximum(max(0.5*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:
# if fstate=='4e': dummy.SetMaximum(max(1*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),1.0))
# elif fstate=='4l': dummy.SetMaximum(max(0.2*max(n_trueH_asimov[fstate],n_trueH_modelfit[fstate]),1.0))
# else: dummy.SetMaximum(max(0.5*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(max(1*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_eta4p7"):
label = "N(jets) |#eta|<4.7"
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") or (obsName=='mass4l_zzfloating'):
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' and obsName!='mass4l_zzfloating'): latex2.DrawLatex(0.65,0.85, str(observableBins[recobin])+" "+unit+" < "+label+" < "+str(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_"+physicalModel+"_"+opt.YEAR+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".pdf")
c.SaveAs("plots/"+obsName+"/asimov/model/asimovdata_"+physicalModel+"_"+opt.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+"_"+physicalModel+"_"+opt.YEAR+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".pdf")
c.SaveAs("plots/"+obsName+"/data/model/data_unfoldwith_"+modelName+"_"+physicalModel+"_"+opt.YEAR+"_"+obsName+'_'+fstate+"_recobin"+str(recobin)+".png")
######### ---------------------------------------- #########
######### ----------------- Main ----------------- #########
######### ---------------------------------------- #########
modelName = opt.UNFOLD
if 'vs' in opt.OBSNAME:
obsName_tmp = opt.OBSNAME.split(' vs ')
obsName = obsName_tmp[0]+'_'+obsName_tmp[1]
doubleDiff = True
else:
obsName = opt.OBSNAME
doubleDiff = False
sys.path.append("inputs")
_temp = __import__('inputs_sig_'+obsName+'_'+opt.YEAR, globals(), locals(), ['observableBins'], -1)
observableBins = _temp.observableBins
sys.path.remove("inputs")
if obsName.startswith("mass4l"):
PhysicalModels = ['v2','v3']
elif obsName == 'D0m' or obsName == 'Dcp' or obsName == 'D0hp' or obsName == 'Dint' or obsName == 'DL1' or obsName == 'DL1Zg' or obsName == 'costhetaZ1' or obsName == 'costhetaZ2'or obsName == 'costhetastar' or obsName == 'phi' or obsName == 'phistar' or obsName == 'massZ1' or obsName == 'massZ2':
PhysicalModels = ['v4','v3']
elif 'kL' in obsName:
PhysicalModels = ['kLambda']
else:
PhysicalModels = ['v3']
fStates = ["4e","4mu","2e2mu","4l"]
for fState in fStates:
for recobin in range(len(observableBins)-1):
for physicalModel in PhysicalModels:
plotAsimov_sim(opt.UNFOLD, physicalModel, obsName, fState, observableBins, recobin)