def StackPlot(var='NJets',
ch='ElMu',
lev='2jets',
blind=False,
ratiolims=[0.4, 1.6],
binlabels='',
rangeX=[0, 0]):
hm = HistoManager(processes, syst, path=path)
fname = '%s%s%s' % (var, ('_' + ch) if ch != '' else '',
('_' + lev) if lev != '' else '')
hm.ReadHistosFromFile(fname,
rebin=(rebin[var] if var in rebin.keys() else 1))
hm.AddNormUnc(normunc)
hm.GetDataHisto()
s = Stack(outpath=outpath + '/stackplots/')
s.SetRangeX(rangeX)
s.SetColors(colors)
s.SetProcesses(processes)
s.SetLumi(Lumi)
s.SetRangeX(ran[var][lev] if var in ran and (
isinstance(ran[var], dict) and lev in ran[var].keys()) else (
ran[var] if var in ran.keys() else [0, 0]))
s.SetHistoPadMargins(top=0.08, bottom=0.10, right=0.06, left=0.10)
s.SetRatioPadMargins(top=0.03, bottom=0.40, right=0.06, left=0.10)
s.SetTextLumi(texlumi='%2.1f pb^{-1} (5.02 TeV)',
texlumiX=0.62,
texlumiY=0.97,
texlumiS=0.05)
if binlabels != '': s.SetBinLabels(binlabels)
s.SetOutName('stack_' + fname)
s.SetHistosFromMH(hm)
s.SetTextChan(pltlabel[ch][lev] if
(ch in pltlabel and lev in pltlabel[ch]) else '',
x=0.18,
s=0.036)
xtit = titdic[var] if var in titdic else ''
if ('%s') in xtit: xtit = xtit % pltlabel[ch]['dilepton']
rmin, rmax = ratiolims
s.SetRatioMin(rmin)
s.SetRatioMax(rmax)
s.SetYratioTitle('Data/Pred.')
s.SetPlotMaxScale(1.8)
# blind
if blind:
hData = s.TotMC.Clone("Asimov")
hData.SetLineWidth(0)
hData.SetMarkerStyle(20)
hData.SetMarkerColor(kGray)
hData2 = hData.Clone("Asimov2")
hData2.Divide(hData)
s.SetDataHisto(hData)
s.SetRatio(hData2)
s.DrawStack(xtit, 'Events')
if var == 'NJets' and lev == 'dilepton':
s.SetLogY()
s.SetPlotMaxScale(100)
s.SetPlotMinimum(0.5)
s.SetOutName('stack_log_' + fname)
s.DrawStack(xtit, 'Events')
def SavePlots(syst, var = 'mt2', sampName = 'tt'): hm = HistoManager(process, syst, path=path) hm.ReadHistosFromFile(var) hm.GetDataHisto() a = HistoUnc(outpath, var+sampName+s, tag=sysdic[s], xtit = titdic[var] if var in titdic.keys() else '') a.SetLumi(GetLumi(year)) a.AddHistoNom(hm.GetHisto(sampName, sampName)) a.AddHistoUp(hm.GetHisto(sampName, sampName, s+'Up')) a.AddHistoDown(hm.GetHisto(sampName, sampName, s+'Down')) a.Draw()
def StackPlot(var = 'mt2', xtit = 'm_{T2} (GeV)'):
hm = HistoManager(process, syst, path=path)
hm.ReadHistosFromFile(var)
hm.GetDataHisto()
s = Stack(outpath=outpath)
s.SetColors(colors)
s.SetProcesses(processes)
s.SetLumi(GetLumi(year))
s.SetOutName('stack_'+var)
s.SetHistosFromMH(hm)
s.DrawStack(xtit, 'Events')
def StackPlot(var = 'mt2', xtit = 'm_{T2} (GeV)', rebin=1):
pr = process.replace(' ', '').split(',')#['VV', 'ttW', 'DY', 'Nonprompt', 'ttZ', 'tW', 'tt']
#pr = ['Others', 'Nonprompt', 'ttZ', 'tW', 'tt']
if year == 'comb':
hm = HistoManager(pr, syst, path=GetPath(region, 2016, ms, ml, ch), signalList = 'stop'); hm.SetStackOverflow()
hm.ReadHistosFromFile(var,rebin=rebin)
hm17 = HistoManager(pr, syst, path=GetPath(region, 2017, ms, ml, ch), signalList = 'stop'); hm17.SetStackOverflow()
hm17.ReadHistosFromFile(var,rebin=rebin)
hm18 = HistoManager(pr, syst, path=GetPath(region, 2018, ms, ml, ch), signalList = 'stop'); hm18.SetStackOverflow()
hm18.ReadHistosFromFile(var,rebin=rebin)
hm.Add(hm17).Add(hm18)
else:
hm = HistoManager(pr, syst, path=path, signalList = 'stop'); hm.SetStackOverflow()
hm.ReadHistosFromFile(var, rebin=rebin)
hm.AddNormUnc({'tt':0.06, 'Nonprompt':0.3, 'DY':0.3,'ttZ':0.3,'tW':0.15})
hm.GetDataHisto()
#if ('mt2' in var or 'met' in var or 'dnn' in var or 'lblb' in var) and region != 'CR':
# #del hm.indic['data_obs'] # blind
# hm.indic['data_obs']['data_obs'] = hm.GetSumBkg()
outdir = GetOutpath(region, year, ms, ml, ch)
s = Stack(outpath=outdir+'/stackplots/')
s.SetColors(colors)
s.SetProcesses(pr)
s.SetLumi(GetLumi(year) if isinstance(year, int) else (GetLumi(2016) + GetLumi(2017) + GetLumi(2018)) )
s.SetOutName('stack_'+var)
s.SetHistosFromMH(hm)
s.SetDataHisto(hm.indic['data_obs']['data_obs'])
#if not ('mt2' in var or 'met' in var or 'dnn' in var or 'lblb' in var) or (region == 'CR'): s.SetDataHisto(hm.indic['data_obs']['data_obs'])
#else :
# #hData = hm.GetSumBkg().Clone("Asimov")
# hData = s.TotMC.Clone("Asimov")
# hData.SetLineWidth(0); hData.SetMarkerStyle(20); hData.SetMarkerColor(kGray)
# hData2 = hData.Clone("Asimov2")
# hData2.Divide(hData)
# s.SetDataHisto(hData)
# s.SetRatio(hData2)
s.AddSignalHisto(hm.indic['stop']['stop'], color = kTeal+2, mode = 'ontop', ratioBkg = True)
if region == 'SR': s.SetTextChan('SR: BS + p_{T}^{miss} #geq 50, m_{T2} #geq 80')
elif region == 'BS': s.SetTextChan('BS: e#mu, #geq 2 jets, #geq 1 btag')
elif region == 'CR': s.SetTextChan('BS + met < 50, m_{T2} < 80 ')
elif region == 'ttmt2': s.SetTextChan('BS + met < 50')
elif region == 'ttmet': s.SetTextChan('BS + m_{T2} < 80')
s.SetRatioMin(0.0); s.SetRatioMax(2.5)
#s.SetYratioTitle('S/(S+B)')
s.SetYratioTitle('Ratio')
s.SetPlotMaxScale(2.5)
s.DrawStack(xtit, 'Events')
s.SetLogY()
s.SetOutName('stack_log_'+var)
s.SetPlotMinimum(0.1)
s.SetPlotMaxScale(1200)
s.DrawStack(xtit, 'Events')
def GetTableOfUnc(syst, sampName='tt', var='dnn', dic = {}):
if isinstance(sampName, str) and ',' in sampName: sampName = sampName.replace(' ', '').split(',')
if isinstance(syst, str) and ',' in syst : syst = syst .replace(' ', '').split(',')
if isinstance(sampName, list):
for s in sampName: GetTableOfUnc(syst, s, var, dic)
return
if isinstance(syst, list):
for s in syst: GetTableOfUnc(s, sampName, var, dic)
return
if not sampName in dic: dic[sampName] = {}
if not syst in dic[sampName]: dic[sampName][syst] = {}
hm = HistoManager(process, syst, path=path)
hm.ReadHistosFromFile(var)
hm.GetDataHisto()
n = hm.GetHisto(sampName, sampName ).Integral()
u = hm.GetHisto(sampName, sampName, syst+'Up' ).Integral()
d = hm.GetHisto(sampName, sampName, syst+'Down').Integral()
meanval = (abs(n-d) + abs(n-u))/(2*n)*100
dic[sampName][syst] = meanval
return dic
def DrawPostFit(ms=235, ml=60, htype='fit_s', var='dnn', ch='', year=''):
getdir = lambda dirtype, ch: 'shapes_%s/%s/' % (dirtype, ch)
getfname = lambda ms, ml: 'postfit_%s_%s_%s' % (var, str(ms), str(ml))
# Get channels
if not isinstance(ch, list):
if ch == '': ch = ['ee', 'mumu', 'emu']
elif ',' in ch: ch = ch.replace(' ', '').split(',')
else: ch = [ch]
if not isinstance(year, list):
if year == '': year = [2016, 2017, 2018]
elif isinstance(year, str) and ',' in year:
year = year.replace(' ', '').split(',')
else:
year = [year]
pch = []
for y in year:
for c in ch:
pch.append(chdic[y][c])
if len(year) == 3: yearname = 'comb'
else: yearname = str(year[0])
if len(ch) == 3: chname = 'all'
else: chname = ch[0]
# test or not depending on var
ttname = 'tt' if not 'dnn' in var else 'tt_test'
pr = bkg + [ttname]
sig = ('stop'
if not 'dnn' in var else 'stop_test') if htype != 'fit_b' else []
hm = HistoManager(pr, '', path=pathToPostFit, signalList=sig)
pathInTree = [getdir(htype, x) for x in pch]
hm.SetPathInTree(pathInTree)
hm.ReadHistosFromFile(getfname(ms, ml), dataname='data', rebin=1)
hm.ReArrangeDic({
'Others': ['ttW', 'ttZ', 'Nonprompt', 'VV'],
't#bar{t}+tW': ['tW', ttname],
'Drell-Yan': ['DY']
})
hm.GetDataHisto()
#hm.indic['data_obs']['data_obs'] = hm.GetSumBkg()
outdir = GetOutpath(region, year, ms, ml, ch)
fprocess = ['Others', 'Drell-Yan', 't#bar{t}+tW']
s = Stack(outpath=outdir + '/postfit/')
colors['Others'] = kTeal + 2
colors['t#bar{t}+tW'] = colors['tt']
colors['Drell-Yan'] = colors['DY']
s.SetColors(colors)
s.SetProcesses(fprocess)
s.SetLumi(
GetLumi(year[0]) if len(year) == 1 else (GetLumi(2016) +
GetLumi(2017) +
GetLumi(2018)))
outname = htype + '_' + var + '%s_%s_%i_%i' % (yearname, chname, ms, ml)
s.SetOutName(outname)
s.SetHistosFromMH(hm)
#s.Set
t = TopHistoReader(pathToPostFit)
t.ReComputeStatUnc = False
t.SetPathInTree(pathInTree)
hbkg = t.GetNamedHisto('total_background', getfname(ms, ml))
hbkg.SetLineStyle(0)
hbkg.SetLineWidth(0)
hbkg.SetMarkerSize(0)
s.SetTotMC(hbkg)
s.SetMCunc(hbkg)
s.SetMCstatUnc(None)
s.SetMCnormUnc(None)
s.SetRatioStatUnc(None)
s.SetRatioNormUnc(None)
s.SetRatioUnc(GetRatioHistoUncFromHisto(hbkg))
s.SetRatioUncStyle()
s.SetUncStyle()
if sig != []:
s.AddSignalHisto(hm.indic[sig][sig],
color=kViolet + 2,
mode='ontop',
ratioBkg=True,
name='stop')
s.SetTextChan('SR: BS + p_{T}^{miss} #geq 50, m_{T2} #geq 80')
s.SetRatioMin(0.5)
s.SetRatioMax(1.5)
s.SetPlotMaxScale(1.8)
xtit = 'DNN score (%i, %i)' % (ms, ml)
chlab = ''
if chname == 'ee': chlab = 'ee'
elif chname == 'mumu': chlab = '#mu#mu'
elif chname == 'emu': chlab = 'e#mu'
flab = 'Prefit'
if htype == 'fit_b': flab = 'Fit background only'
elif htype == 'fit_s': flab = 'Fit S+B'
mlab = '#splitline{m_{#tilde{t}_{1}} = %1.0f GeV}{m_{#tilde{#chi}_{1}^{0}} = %1.0f GeV}' % (
ms, ml)
s.AddTex(flab, x=0.15, y=0.77, s=0.05)
s.AddTex(mlab, x=0.15, y=0.62, s=0.04)
s.AddTex(chlab, x=0.15, y=0.84, s=0.04)
s.DrawStack(xtit, 'Events')
s.SetLogY()
s.SetZoom(False)
if var == 'dnn' and region == 'SR':
s.SetZoom(True)
s.SetOutName('log_' + outname)
s.SetPlotMinimum(1)
s.SetPlotMaxScale(1200)
s.SetYratioTitle('Ratio')