def drawVariations(h, exp, cat):
for c in comp:
projs = getProjections(exp, comp[c])
p = Plot('%s_%s' % (cat, c))
p.doPoissonErrorBars = False
p.add(h, 'nominal', 1, True, False, False)
for px in projs:
if c == 'qg':
px.Scale(h.Integral() / px.Integral())
p.add(px, px.GetTitle(), px.GetLineColor(), False, False, False)
p.show('./', 41000, True)
rwScenariosMassH[key] = (getDist(url,
'genmass'), getDist(url, 'rwgt_genmass'))
rwScenariosMassH[key][0].SetName('mass%d' % len(rwScenariosH))
rwScenariosMassH[key][1].SetName('rwmass%d' % len(rwScenariosH))
rwScenariosMassH[key][0].SetTitle('(172.5,1.32)')
rwScenariosMassH[key][1].SetTitle('(%3.1f,%3.2f) wgt' % key)
norig = rwScenariosMassH[key][0].Integral()
rwScenariosMassH[key][0].Scale(1. / norig)
rwScenariosMassH[key][1].Scale(1. / norig)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(True)
p = Plot('mlbwidth_closure', '13 TeV')
p.ratiorange = [0.958, 1.042]
p.savelog = True
p.doPoissonErrorBars = False
p.range = (1e-4, 0.014)
p.ytit = 'PDF'
p.add(h=simScenariosH[(172.5, 0.90)].Clone(),
title=simScenariosH[(172.5, 0.90)].GetTitle(),
color=1,
isData=True,
spImpose=False,
isSyst=False,
doDivideByBinWidth=True)
p.add(h=rwScenariosH[(172.5, 0.90)].Clone(),
title=rwScenariosH[(172.5, 0.90)].GetTitle(),
color=2,
def showShapes(resultsDir,
name,
title,
mass,
boson,
r95,
sig,
lumi,
plotData=True,
showPseudoData=True,
showAllBkgs=True):
""" show the shapes corresponding to a given analysis """
shapeFiles = [
os.path.join(resultsDir, f) for f in os.listdir(resultsDir)
if 'shapes_' in f and '.root' in f
]
for f in shapeFiles:
try:
angle = int(re.search('_a(\d+)', f).group(1))
except:
print 'No angle could be parsed, assuming this is an inclusive analysis'
angle = None
fIn = ROOT.TFile.Open(f)
#check consistency of the file with the boson to plot
if 'shapes_22' in f and boson == 'g':
v = 'g'
channel = '#gamma'
elif 'shapes_169' in f and boson == 'z':
v = 'zmm'
channel = 'Z#rightarrow#mu#mu'
elif 'shapes_121' in f and boson == 'z':
v = 'zee'
channel = 'Z#rightarrowee'
else:
continue
for icat in range(2):
if angle:
bkgH = fIn.Get('bkg_%s_a%d_%d' % (v, angle, icat))
fidsigH = fIn.Get('fidsig_%s_a%d_%d_m%d' %
(v, angle, icat, mass))
outfidsigH = fIn.Get('outfidsig_%s_a%d_%d_m%d' %
(v, angle, icat, mass))
dataH = fIn.Get('data_obs_%s_a%d_%d' % (v, angle, icat))
else:
bkgH = fIn.Get('bkg_%s_%d' % (v, icat))
fidsigH = fIn.Get('fidsig_%s_%d_m%d' % (v, icat, mass))
outfidsigH = fIn.Get('outfidsig_%s_%d_m%d' % (v, icat, mass))
dataH = fIn.Get('data_obs_%s_%d' % (v, icat))
print bkgH, fidsigH, outfidsigH, dataH
try:
fidsigH.Scale(5)
outfidsigH.Scale(5)
except:
fidsigH = None
outfidsigH = None
if showPseudoData:
dataH.Reset('ICE')
nexp = bkgH.Integral()
if fidsigH: nexp += bkgH.Integral()
if outfidsigH: nexp += outfidsigH.Integral()
for iev in range(ROOT.gRandom.Poisson(nexp)):
dataH.Fill(bkgH.GetRandom())
try:
#main shapes
if angle:
p = Plot('%s_%s_a%d_cat%d' % (name, v, angle, icat))
else:
p = Plot('%s_%s_inc_cat%d' % (name, v, icat))
p.xtit = 'Missing mass [GeV]'
p.ytit = 'Events'
if fidsigH:
p.add(fidsigH,
title='#scale[0.5]{5x}' + title +
'#scale[0.8]{(%d)}' % mass,
color=ROOT.TColor.GetColor('#fdc086'),
isData=False,
spImpose=False,
isSyst=False)
if showAllBkgs:
if outfidsigH:
p.add(outfidsigH,
title='#scale[0.5]{5x}non-fiducial',
color=ROOT.TColor.GetColor('#a6cee3'),
isData=False,
spImpose=False,
isSyst=False)
p.add(bkgH,
title='background',
color=ROOT.TColor.GetColor('#1f78b4'),
isData=False,
spImpose=False,
isSyst=False)
else:
allBkg = bkgH.Clone('allbkg')
if outfidsigH:
allBkg.Add(outfidsigH)
p.add(allBkg,
title='background',
color=ROOT.TColor.GetColor('#1f78b4'),
isData=False,
spImpose=False,
isSyst=False)
if plotData:
dtitle = 'pseudo-data' if showPseudoData else 'Data'
p.add(dataH,
title=dtitle,
color=1,
isData=True,
spImpose=False,
isSyst=False)
if fidsigH:
p.add(fidsigH.Clone(),
title=title + '#scale[0.8]{(%d)}' % mass,
color=ROOT.TColor.GetColor('#fdc086'),
isData=False,
spImpose=True,
isSyst=False)
if showAllBkgs and outfidsigH:
p.add(outfidsigH.Clone(),
title='non-fiducial',
color=ROOT.TColor.GetColor('#a6cee3'),
isData=False,
spImpose=True,
isSyst=False)
p.ratiorange = [0.68, 1.32]
subcatName = 'low pileup' if icat == 0 else 'high pileup'
if angle:
extraText = '%s, %d#murad\\%s' % (channel, angle,
subcatName)
else:
extraText = '%s, inclusive\\%s' % (channel, subcatName)
if r95: extraText += '\\#mu_{95}(exp.)<%3.3f' % r95
if sig: extraText += '\\S(exp.)=%3.3f' % sig
p.show('./', lumi * 1000, extraText=extraText)
colors = [ROOT.kGreen + 1, ROOT.kAzure + 3, ROOT.kRed + 2]
#background systs
if angle:
p = Plot('%s_%s_a%d_cat%d_bkgunc' % (name, v, angle, icat))
else:
p = Plot('%s_%s_inc_cat%d_bkgunc' % (name, v, icat))
p.noErrorsOnRatio = True
p.doPoissonErrorBars = False
p.xtit = 'Missing mass [GeV]'
p.ytit = 'Events'
p.add(bkgH,
title='background',
color=1,
isData=True,
spImpose=False,
isSyst=False)
ic = 0
for syst, title in [('Up', 'Pileup spec.'),
('SingleDiffUp', 'Single diff.')]:
if angle:
p.add(fIn.Get('bkg_%s_a%d_%d_bkgShape%s' %
(v, angle, icat, syst)),
title=title,
color=colors[ic],
isData=False,
spImpose=False,
isSyst=False)
else:
p.add(fIn.Get('bkg_%s_inc_%d_bkgShape%s' %
(v, icat, syst)),
title=title,
color=colors[ic],
isData=False,
spImpose=False,
isSyst=False)
ic += 1
p.ratiorange = [0.76, 1.24]
if angle:
extraText = '%s, %d#murad' % (channel, angle)
else:
extraText = '%s, inclusive' % (channel)
p.show('./', lumi, noStack=True, extraText=extraText)
#signal systs
if fidsigH:
if angle:
p = Plot('%s_%s_a%d_cat%d_sigunc' %
(name, v, angle, icat))
else:
p = Plot('%s_%s_inc_cat%d_sigunc' % (name, v, icat))
fidsigH.Scale(1. / 5.)
p.doPoissonErrorBars = False
p.noErrorsOnRatio = True
p.xtit = 'Missing mass [GeV]'
p.ytit = 'Events'
p.add(fidsigH,
title='signal',
color=1,
isData=True,
spImpose=False,
isSyst=False)
ic = 0
for syst, title in [('ShapeUp', 'Pileup spec.'),
('CalibUp', 'Time dependence'),
('PzModelUp', 'p_{z}(pp)')]:
if angle:
p.add(fIn.Get('fidsig_%s_a%d_%d_m%d_sig%s' %
(v, angle, icat, mass, syst)),
title=title,
color=colors[ic],
isData=False,
spImpose=False,
isSyst=False)
else:
p.add(fIn.Get('fidsig_%s_%d_m%d_sig%s' %
(v, icat, mass, syst)),
title=title,
color=colors[ic],
isData=False,
spImpose=False,
isSyst=False)
ic += 1
p.ratiorange = [0.76, 1.24]
if angle:
extraText = '%s, %d#murad\\m_{X}=%d GeV' % (
channel, angle, mass)
else:
extraText = '%s, inclusive\\m_{X}=%d GeV' % (channel,
mass)
p.show('./', lumi, noStack=True, extraText=extraText)
#out fiducial signal systs
if outfidsigH:
if angle:
p = Plot('%s_%s_a%d_cat%d_outfidsigunc' %
(name, v, angle, icat))
else:
p = Plot('%s_%s_inc_cat%d_outfidsigunc' %
(name, v, icat))
outfidsigH.Scale(1. / 5.)
p.doPoissonErrorBars = False
p.noErrorsOnRatio = True
p.xtit = 'Missing mass [GeV]'
p.ytit = 'Events'
p.add(outfidsigH,
title='out-fid. signal',
color=1,
isData=True,
spImpose=False,
isSyst=False)
ic = 0
for syst, title in [('ShapeUp', 'Pileup spec.'),
('CalibUp', 'Time dependence'),
('PzModelUp', 'p_{z}(pp)')]:
if angle:
p.add(fIn.Get('outfidsig_%s_a%d_%d_m%d_sig%s' %
(v, angle, icat, mass, syst)),
title=title,
color=colors[ic],
isData=False,
spImpose=False,
isSyst=False)
else:
p.add(fIn.Get('outfidsig_%s_%d_m%d_sig%s' %
(v, icat, mass, syst)),
title=title,
color=colors[ic],
isData=False,
spImpose=False,
isSyst=False)
ic += 1
p.ratiorange = [0.76, 1.24]
if angle:
extraText = '%s, %d#murad\\m_{X}=%d GeV' % (
channel, angle, mass)
else:
extraText = '%s, inclusive\\m_{X}=%d GeV' % (channel,
mass)
p.show('./', lumi, noStack=True, extraText=extraText)
except Exception as e:
print e
pass
fIn.Close()
nom = sigH.GetBinContent(xbin)
var = totalMCShape.GetBinContent(xbin)
if nom == 0: continue
r = abs(1 - var / nom)
np = relShapeGr.GetN()
relShapeGr.SetPoint(np, xcen, 1)
relShapeGr.SetPointError(np, 0.5 * xwid, r)
relShapeGr.SetFillStyle(3354) #3001)
relShapeGr.SetFillColor(ROOT.kGray + 3) #ROOT.kRed)
relShapeGr.SetLineWidth(2)
totalMCShape.Delete()
#show
finalOutpName = outpName
if countOnly: finalOutpName += '_count'
plot = Plot(finalOutpName)
plot.savelog = True
plot.wideCanvas = False
plot.doMCOverData = False
plot.ratioFrameFill = 3444
plot.ratioFrameColor = 1
#plot.ratiorange=(0.655,1.385)
doDivideByBinWidth = False
if 'mlb' in outpName or 'ptlb' in outpName: doDivideByBinWidth = True
if relShapeGr: plot.relShapeGr = relShapeGr
plot.plotformats = ['pdf', 'png']
for key in ['Data', 't#bar{t}', 'Single top', 'W', 'DY', 'Multiboson']:
if not key in plotsPerProc: continue
isData = True if 'Data' in plotsPerProc[key].GetTitle() else False
color = COLORS[plotsPerProc[key].GetTitle()]
if key == 'DY': plotsPerProc[key].Scale(0.83)
def drawPlots():
"""draw final plots comparing distributions in data"""
def fillHistos(fIn, histos, era, ch):
eraKey = (era, ch)
for k in fIn.GetListOfKeys():
kname = k.GetName()
hname = kname.split('_')[0]
tag = ''.join(kname.split('_')[1:])
key = (hname, tag)
if not key in histos:
histos[key] = {}
histos[key][eraKey] = k.ReadObj().Clone(kname + '%s_%d' %
(era, ch))
histos[key][eraKey].SetDirectory(0)
histos[key][eraKey].GetYaxis().SetTitle('PDF')
return histos
histos = {}
for era, ch in list(product(list('BCDEF'), [11 * 11, 13 * 13])):
fIn = ROOT.TFile.Open('RPcontrol_era%s_ch%d.root' % (era, ch))
fillHistos(fIn, histos, era, ch)
fIn.Close()
perAlgo = ['multi', 'px', 'strip']
perAlgoPlusInc = perAlgo + [''] + ['a120', 'a130', 'a140', 'a150']
perSide = product(perAlgo, ['pos', 'posinc', 'neg', 'neginc'])
colors = ["#fdc086", "#7fc97f", "#DCDCDC", 633, "#386cb0", 9]
for d, tags in [ #('n', perSide),
#('csi', perSide),
#('mpp', perAlgo),
##('mmass', perAlgo),
('nvtx', perAlgoPlusInc),
#('xangle', perAlgoPlusInc),
('ptll', perAlgoPlusInc),
#('nch', perAlgoPlusInc),
#('rue', perAlgoPlusInc),
#('met', perAlgoPlusInc),
#('dphimetz', perAlgoPlusInc),
]:
hglobal = None
hperAlgo = {}
hperXangle = {}
for tag in tags:
hinc = None
hperEra = {}
hperCh = {}
key = (d, ''.join(tag))
if not key in histos: continue
for eraKey, h in histos[key].items():
era, ch = eraKey
#global inclusive histogram
if len(tag) == 0:
print key, eraKey
if hglobal is None:
hglobal = h.Clone(d + '_global')
hglobal.SetDirectory(0)
else:
hglobal.Add(h)
#inclusive histogram (this tag only)
if hinc is None:
hinc = h.Clone(d + '_inc')
hinc.SetDirectory(0)
else:
hinc.Add(h)
#per angle histos
if len(tag) == 4 and tag[0] == 'a':
xangle = tag[1:]
print key, xangle
if not xangle in hperXangle:
hperXangle[xangle] = h.Clone(d + '_' + xangle)
hperXangle[xangle].SetDirectory(0)
else:
hperXangle[xangle].Add(h)
#per era histogram
if not era in hperEra:
hperEra[era] = h.Clone('%s_%s' % (d, era))
hperEra[era].SetDirectory(0)
else:
hperEra[era].Add(h)
#per ch histogram
if not ch in hperCh:
hperCh[ch] = h.Clone('%s_%d' % (d, ch))
hperCh[ch].SetDirectory(0)
else:
hperCh[ch].Add(h)
#per algo histogram
algo = tag
algoExtra = None
if d == 'csi' and not 'inc' in tag[1]:
algo = tag[0]
algoExtra = '_pos' if 'pos' in tag[1] else '_neg'
if isinstance(algo, str) and (algo in perAlgo + ['']):
algoKey = algo
if algoExtra: algoKey += algoExtra
if not algoKey in hperAlgo:
hperAlgo[algoKey] = h.Clone('%s_%s' % (d, algoKey))
hperAlgo[algoKey].SetDirectory(0)
else:
hperAlgo[algoKey].Add(h)
if hinc is None: continue
hinc.Scale(1. / hinc.Integral())
#per era
p = Plot('%s_%s_perEra' % key, com='13 TeV')
p.savelog = True
p.range = [1e-3, 1]
p.doPoissonErrorBars = False
for i, era in enumerate(hperEra.keys()):
hperEra[era].Scale(1. / hperEra[era].Integral())
p.add(hperEra[era],
title=era,
color=colors[i],
isData=False,
spImpose=False,
isSyst=False)
p.add(hinc.Clone(),
title='total',
color=1,
isData=False,
spImpose=True,
isSyst=False)
p.show(outDir='./', lumi=37500, noStack=True)
#per ch
p = Plot('%s_%s_perCh' % key, com='13 TeV')
p.savelog = True
p.range = [1e-3, 1]
p.doPoissonErrorBars = False
for i, ch in enumerate(hperCh.keys()):
hperCh[ch].Scale(1. / hperCh[ch].Integral())
p.add(hperCh[ch],
title='ee' if ch == 11 * 11 else '#mu#mu',
color=colors[i],
isData=False,
spImpose=False,
isSyst=False)
p.add(hinc.Clone(),
title='total',
color=1,
isData=False,
spImpose=True,
isSyst=False)
p.show(outDir='./', lumi=37500, noStack=True)
#per xangle
p = Plot('%s_perxangle' % d, com='13 TeV')
p.savelog = True
p.range = [1e-3, 1]
p.doPoissonErrorBars = False
for i, xangle in enumerate(['120', '130', '140', '150']):
hperXangle[xangle].Scale(1. / hperXangle[xangle].Integral())
spImpose = True if xangle == '' else False
title = '%s#murad' % xangle
ci = colors[i]
p.add(hperXangle[xangle],
title=title,
color=ci,
isData=False,
spImpose=spImpose,
isSyst=False)
if hglobal:
hglobal.Scale(1. / hglobal.Integral())
p.add(hglobal.Clone(),
title='total',
color=1,
isData=False,
spImpose=True,
isSyst=False)
try:
p.show(outDir='./', lumi=37500, noStack=True)
except Exception as e:
print d, e
#per algo
p = Plot('%s_peralgo' % d, com='13 TeV')
p.savelog = True
p.range = [1e-3, 1]
p.doPoissonErrorBars = False
for i, algo in enumerate(hperAlgo.keys()):
hperAlgo[algo].Scale(1. / hperAlgo[algo].Integral())
spImpose = True if algo == '' else False
title = 'inclusive' if algo == '' else algo
title = title.replace('_pos', ' (+)')
title = title.replace('_neg', ' (-)')
ci = colors[i] if algo != '' else 1
p.add(hperAlgo[algo],
title=title,
color=ci,
isData=False,
spImpose=spImpose,
isSyst=False)
p.show(outDir='./', lumi=37500, noStack=True)
def showShapes(resultsDir,name,plotTitle,mass,boson,lumi,plotData=True,showPseudoData=True,showAllBkgs=True,plotpfix=''):
""" show the shapes corresponding to a given analysis """
colors=[ROOT.kGreen+1,ROOT.kAzure+3,ROOT.kOrange+2,ROOT.kGray,ROOT.kRed+2]
shapeFiles=[os.path.join(resultsDir,f) for f in os.listdir(resultsDir) if 'shapes_' in f and '.root' in f]
for f in shapeFiles:
fIn=ROOT.TFile.Open(f)
#check consistency of the file with the boson to plot
if 'shapes_22' in f and boson=='g':
v='g'
channel='#gamma'
elif 'shapes_169' in f and boson=='z':
v='zmm'
channel='Z#rightarrow#mu#mu'
elif 'shapes_121' in f and boson=='z':
v='zee'
channel='Z#rightarrowee'
else:
continue
bkgH = fIn.Get('bkg_%s'%v)
fidsigH = fIn.Get('fidsig_%s_m%d'%(v,mass))
outfidsigH = fIn.Get('outfidsig_%s_m%d'%(v,mass))
dataH = fIn.Get('data_obs_%s'%(v))
if showPseudoData:
dataH.Reset('ICE')
nexp=bkgH.Integral()
if fidsigH: nexp+=bkgH.Integral()
if outfidsigH: nexp+=outfidsigH.Integral()
for iev in range( ROOT.gRandom.Poisson( nexp ) ):
dataH.Fill( bkgH.GetRandom() )
try:
p=Plot('%s_%s_inc%s'%(name,v,plotpfix))
p.xtit='Missing mass [GeV]'
p.ytit='Events'
if fidsigH:
p.add(fidsigH, title='fiducial #scale[0.8]{(%d)}'%mass, color=ROOT.TColor.GetColor('#fdc086'), isData=False, spImpose=False, isSyst=False)
if showAllBkgs:
if outfidsigH:
p.add(outfidsigH, title='non-fiducial', color=ROOT.TColor.GetColor('#a6cee3'), isData=False, spImpose=False, isSyst=False)
p.add(bkgH, title='background', color=ROOT.TColor.GetColor('#1f78b4'), isData=False, spImpose=False, isSyst=False)
else:
allBkg=bkgH.Clone('allbkg')
if outfidsigH :
allBkg.Add(outfidsigH)
p.add(allBkg, title='background', color=ROOT.TColor.GetColor('#1f78b4'), isData=False, spImpose=False, isSyst=False)
if plotData:
dtitle='pseudo-data' if showPseudoData else 'Data'
p.add(dataH, title=dtitle, color=1, isData=True, spImpose=False, isSyst=False)
if fidsigH:
p.add(fidsigH.Clone(), title=plotTitle+'#scale[0.8]{(%d)}'%mass, color=ROOT.TColor.GetColor('#fdc086'), isData=False, spImpose=True, isSyst=False)
if showAllBkgs and outfidsigH:
p.add(outfidsigH.Clone(), title='non-fiducial', color=ROOT.TColor.GetColor('#a6cee3'), isData=False, spImpose=True, isSyst=False)
p.ratiorange=[0.68,1.32]
p.show('./',lumi*1000,extraText=plotTitle)
#background systs
p=Plot('%s_%s_inc_bkgunc%s'%(name,v,plotpfix))
p.noErrorsOnRatio=True
p.doPoissonErrorBars=False
p.xtit='Missing mass [GeV]'
p.ytit='Events'
p.add(bkgH, title='background', color=1, isData=True,spImpose=False, isSyst=False)
ic=0
for syst,title in [('Up', 'e#mu mix'),
('SingleDiffUp', 'single arm mix')]:
h=fIn.Get('bkg_%s_bkgShape%s'%(v,syst))
p.add(h, title=title, color=colors[ic], isData=False, spImpose=False, isSyst=False)
ic+=1
p.ratiorange=[0.76,1.24]
p.show('./',lumi,noStack=True,extraText=plotTitle)
#signal systs
if fidsigH:
p=Plot('%s_%s_sigunc%s'%(name,v,plotpfix))
#fidsigH.Scale(1./5.)
p.doPoissonErrorBars=False
p.noErrorsOnRatio=True
p.xtit='Missing mass [GeV]'
p.ytit='Events'
p.add(fidsigH, title='signal', color=1, isData=True,spImpose=False, isSyst=False)
ic=0
for syst,title in [('ShapeUp', 'e#mu mix.'),
('CalibUp', 'Time dependence'),
('PPSEffUp', 'PPS efficiency'),
('PzModelUp', 'p_{z}(pp)')]:
h=fIn.Get('fidsig_%s_m%d_sig%s'%(v,mass,syst))
print ic,syst,title,h
p.add(h, title=title, color=colors[ic], isData=False, spImpose=False, isSyst=False)
ic+=1
p.ratiorange=[0.5,1.46]
p.show('./',lumi,noStack=True,extraText=plotTitle)
#out fiducial signal systs
if outfidsigH:
p=Plot('%s_%s_outfidsigunc%s'%(name,v,plotpfix))
#outfidsigH.Scale(1./5.)
p.doPoissonErrorBars=False
p.noErrorsOnRatio=True
p.xtit='Missing mass [GeV]'
p.ytit='Events'
p.add(outfidsigH, title='out-fid. signal', color=1, isData=True,spImpose=False, isSyst=False)
ic=0
for syst,title in [('ShapeUp', 'e#mu mix.'),
('CalibUp', 'Time dependence'),
('PPSEffUp', 'PPS efficiency'),
('PzModelUp', 'p_{z}(pp)')]:
h=fIn.Get('outfidsig_%s_m%d_sig%s'%(v,mass,syst))
p.add(h, title=title, color=colors[ic], isData=False, spImpose=False, isSyst=False)
ic+=1
p.ratiorange=[0.5,1.46]
p.show('./',lumi,noStack=True,extraText=plotTitle)
except Exception as e:
print e
pass
fIn.Close()
xangle=120
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetPaintTextFormat("4.2f");
for ppsEffFile in ['PreliminaryEfficiencies_October92019_1D2DMultiTrack.root', #'pixelEfficiencies.root'
]:
ppsEffReader=PPSEfficiencyReader(os.path.join(baseDir,ppsEffFile))
for rp in [23,123]:
p=Plot('raddameff_%d'%rp,com='13 TeV')
p.range=[0,1]
p.xtit='#xi'
p.ytit='Efficiency'
for i,era in enumerate(['B','C','D','E','F']):
gr=ROOT.TGraphErrors()
gr.SetMarkerStyle(20+i)
gr.SetTitle('2017'+era)
for xi in np.linspace(0,0.2,50):
ip=gr.GetN()
eff,effUnc=ppsEffReader.getPPSEfficiency('2017'+era,xangle,xi,rp)
gr.SetPoint(ip,xi,eff)
gr.SetPointError(ip,0,effUnc)
p.add(gr,'2017'+era, color=1, isData=False, spImpose=True, isSyst=False)
p.show(outDir='./', lumi=37500)
for f in [x for x in os.listdir(baseDir + "/Chunks") if 'DY50toInf' in x]:
url = baseDir + "/Chunks/" + f
d.AddFile(url)
d.Draw(
"mmiss >> hdy(50,0,3000)",
"wgt*(mixType==1 && cat==169 && mmiss>0 && xangle==%d && bosonpt>40)" %
xangle, "goff")
hdy = ROOT.gDirectory.Get('hdy').Clone()
hdy.SetDirectory(0)
hdy.Scale(5765.4 * lumi)
inF.Close()
#construct different scenarios
for f in [0.01, 0.1, 0.2, 0.5]:
p = Plot('mix%d_mmiss_dysig_a%d_f%d' % (mass, xangle, f * 100),
com='13 TeV')
p.doPoissonErrorBars = False
p.ratiorange = (0.6, 1.37)
p.spimposeWithErrors = True
p.frameMax = 1.3
p.ratiotitle = '#frac{DY+mix.signal}{DY}'
fhsig = hsig.Clone('sig')
fhsig.Scale(hdy.Integral() / hsig.Integral())
fhsig.Scale(f)
fhsigmix = hsigmix.Clone('sigmix')
fhsigmix.Scale(hdy.Integral() / hsigmix.Integral())
fhsigmix.Scale(f * dilFactorSig)
totalH = hdy.Clone('totalobs')
totalH.Scale(1 - f)
tkns = re.findall(r'\d+', os.path.basename(url))
mass, xangle = tkns[0], tkns[1]
print mass, xangle
fIn = ROOT.TFile.Open(url)
nopu = fIn.Get('mmass_eenopu')
pu = fIn.Get('mmass_eerpinhpur')
data = fIn.Get('data')
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetOptTitle(0)
ROOT.gROOT.SetBatch(True)
#
# before and after pileup mixing/selection
#
p = Plot('mmass_{0}_xangle{1}_sig'.format(mass, xangle), com='13 TeV')
p.frameMin = 0
p.add(nopu,
title='no pileup',
color=ROOT.kGray,
isData=False,
spImpose=False,
isSyst=False)
p.add(pu, title='pileup', color=1, isData=False, spImpose=True, isSyst=False)
finalExtraText = '#scale[0.8]{{m={0} GeV #alpha={1}#murad}}'.format(
mass, xangle)
p.show(outDir='./', lumi=37500, extraText=finalExtraText)
#
# in-fiducial vs out-fiducial components
#
def main():
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetOptTitle(0)
ROOT.gROOT.SetBatch(True)
isSingleRP = True if 'single' in sys.argv[1] else False
isExc = True if '1exc' in sys.argv[1] else False
pfix = 'pxonly' if isSingleRP else ''
pfix += 'exc' if isExc else ''
hnopu = {}
hrpinhpur = {}
hout = {}
hin = {}
for xangle in VALIDLHCXANGLES:
for era in 'preTS2', 'postTS2':
url = sys.argv[1].format(xangle, era)
mass = re.findall(r'\d+', os.path.basename(url))[0]
fEra = FPRETS2 if era == 'preTS2' else FPOSTTS2
xsecWgt = SIGNALXSECS[xangle] * LUMI * fEra
print url
#determine analysis type
cats = [4] if isSingleRP else [1, 2, 3, 4]
#open file and build te plots
fIn = ROOT.TFile.Open(url)
data = fIn.Get('data')
for icat in cats:
if not icat in hnopu:
hnopu[icat] = fIn.Get('mmass_mm%dnopu' % icat).Clone(
'hnopu%d' % icat)
hnopu[icat].Reset('ICE')
hnopu[icat].SetDirectory(0)
hrpinhpur[icat] = fIn.Get('mmass_mmrpinhpur%d' %
icat).Clone('hrpinhpur%d' % icat)
hrpinhpur[icat].Reset('ICE')
hrpinhpur[icat].SetDirectory(0)
for ch in ['ee', 'mm']:
hnopu[icat].Add(fIn.Get('mmass_%s%dnopu' % (ch, icat)),
xsecWgt)
hrpinhpur[icat].Add(
fIn.Get('mmass_%srpinhpur%d' % (ch, icat)), xsecWgt)
#
# project in-fiducial vs out-fiducial components
#
data.Draw(
"mmiss>>hout(50,0,2500)",
"ppsEff*wgt*(!(%s) && protonCat==%d && mmiss>0 && mixType==1)"
% (FIDUCIALCUTS, icat), 'goff')
h = ROOT.gDirectory.Get('hout')
if not icat in hout:
hout[icat] = h.Clone('hout%d' % icat)
hout[icat].SetDirectory(0)
hout[icat].Reset('ICE')
hout[icat].Add(h, xsecWgt)
data.Draw(
"mmiss>>hin(50,0,2500)",
"ppsEff*wgt*(%s && protonCat==%d && mmiss>0 && mixType==1)"
% (FIDUCIALCUTS, icat), "goff")
h = ROOT.gDirectory.Get('hin')
if not icat in hin:
hin[icat] = h.Clone('hin%d' % icat)
hin[icat].SetDirectory(0)
hin[icat].Reset('ICE')
hin[icat].Add(h, xsecWgt)
#final plots
for icat in hin:
pcatTitle = 'single-single'
if not isSingleRP:
pcatTitle = 'multi-multi'
if icat == 2: pcatTitle = 'multi-single'
if icat == 3: pcatTitle = 'single-multi'
if icat == 4: pcatTitle = 'single-single'
finalExtraText = 'm_{{X}}={0} GeV ({1})'.format(mass, pcatTitle)
p = Plot('mmass_{0}_sigacc_{1}{2}'.format(mass, icat, pfix),
com='13 TeV')
p.saveLog = True
p.xtitle = 'Missing mass [GeV]'
p.ytitle = 'Events'
hin[icat].SetLineWidth(2)
p.add(hin[icat],
title='in accept.',
color=ROOT.kRed,
isData=False,
spImpose=False,
isSyst=False)
p.add(hout[icat],
title='out accept.',
color=ROOT.kBlack,
isData=False,
spImpose=True,
isSyst=False)
p.show(outDir='./', lumi=37500, extraText=finalExtraText)
p = Plot('mmass_{0}_puonfidsig_{1}{2}'.format(mass, icat, pfix),
com='13 TeV')
p.saveLog = True
p.xtitle = 'Missing mass [GeV]'
p.ytitle = 'Events'
p.add(hnopu[icat],
title='no pileup',
color=ROOT.kGray,
isData=False,
spImpose=False,
isSyst=False)
p.add(hrpinhpur[icat],
title='pileup+cuts',
color=1,
isData=False,
spImpose=True,
isSyst=False)
p.show(outDir='./', lumi=37500, extraText=finalExtraText)
import ROOT
import sys
from TopLJets2015.TopAnalysis.Plot import *
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetOptTitle(0)
ROOT.gROOT.SetBatch(True)
colors = [
ROOT.kBlack, ROOT.kGreen + 1, ROOT.kAzure + 1, ROOT.kRed + 1, ROOT.kGray
]
p = Plot('limitcomparison')
p.spimposeOpt = 'l'
p.xtit = 'm_{X} [GeV]'
p.ytit = '95% CL limits on #sigma_{fid}#timesBR [pb]'
for i in range(len(sys.argv) - 1):
name, url = sys.argv[i + 1].split(':')
fIn = ROOT.TFile.Open(url)
c = fIn.Get('c')
gr = c.GetListOfPrimitives().At(2).GetListOfGraphs().At(2)
gr.SetLineWidth(3)
gr.SetLineStyle(1 + i % 2)
p.add(gr,
title=name,
color=colors[i],
isData=False,
spImpose=True,
isSyst=False)
fIn.Close()
p.show('./', lumi=37500, noRatio=True)
p.reset()
('p_{T}(charged)', 'sumPVChPt >> {0}(20,0,250)', finalSel),
('N(muons)', 'nrawmu-2 >> {0}(10,0,10)', finalSel),
]:
sigT.Draw(v.format('sig'), 'evwgt*(%s)' % c)
sigH = ROOT.gDirectory.Get('sig')
sigH.Scale(1. / sigH.Integral())
sigH.GetXaxis().SetTitle(t)
sigH.GetYaxis().SetTitle('PDF')
dyT.Draw(v.format('dy'), 'evwgt*(%s)' % c)
dyH = ROOT.gDirectory.Get('dy')
dyH.Scale(1. / dyH.Integral())
dyH.GetXaxis().SetTitle(t)
dyH.GetYaxis().SetTitle('PDF')
p = Plot(v.split(' >>')[0], com='13 TeV')
p.frameMin = 0
p.add(dyH,
title='DY',
color=ROOT.kMagenta + 1,
isData=False,
spImpose=True,
isSyst=False)
p.add(sigH,
title='#splitline{m_{X}=950 GeV}{#scale[0.5]{120#murad post-TS2}}',
color=ROOT.kBlack,
isData=False,
spImpose=True,
isSyst=False)
p.show(
outDir='./',
h = ROOT.gDirectory.Get('h')
h.Scale(nevts / h.Integral())
title = d.replace('mix', '')
title = title.replace('None', 'data')
histos.append(h.Clone('h' + title))
histos[-1].SetTitle(title)
histos[-1].SetDirectory(0)
h.Reset('ICE')
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(True)
COLOURS = [1, ROOT.kAzure + 1, ROOT.kGreen + 3, ROOT.kRed + 1]
p = Plot('mix_mmiss_siginj' + mass, com='13 TeV, 2017B')
p.doPoissonErrorBars = False
p.ratiorange = (0.58, 1.24)
p.spimposeWithErrors = True
for ic in [0, 1]:
title = histos[ic].GetTitle()
histos[ic].GetXaxis().SetTitle('Missing mass [GeV]')
histos[ic].GetYaxis().SetTitle('Events')
if ic == 0:
p.add(h=histos[ic],
title=title,
color=COLOURS[ic],
isData=True,
spImpose=False,
isSyst=False)
def main(args):
parser = argparse.ArgumentParser(description='usage: %prog [options]')
parser.add_argument(
'-i',
'--input',
dest='input',
default=
'/eos/cms/store/cmst3/user/psilva/ExclusiveAna/final/ab05162/analysis_0p04/',
help='input directory with the files [default: %default]')
parser.add_argument(
'--selCuts',
dest='selCuts',
default='bosonpt>40 && l1pt>30 && l2pt>20',
help='preselection for Z categories [default: %default]')
parser.add_argument('--doPerNch',
dest='doPerNch',
default=False,
action='store_true',
help='break-down per Nch [default: %default]')
parser.add_argument('--doPerEra',
dest='doPerEra',
default=False,
action='store_true',
help='break-down per era [default: %default]')
parser.add_argument(
'--doPerPU',
dest='doPerPU',
default=False,
action='store_true',
help='break-down per pileup category [default: %default]')
parser.add_argument('--doPerAngle',
dest='doPerAngle',
default=False,
action='store_true',
help='break-down per angle [default: %default]')
parser.add_argument('--lumi',
dest='lumi',
default=37500.,
type=float,
help='integrated luminosity [default: %default]')
parser.add_argument('-o',
'--output',
dest='output',
default='analysis/bkg',
help='Output directory [default: %default]')
opt = parser.parse_args(args)
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
os.system('mkdir -p %s' % opt.output)
#do all possible combinations of these categories
baseCats = ['protonCat==%d' % (i + 1) for i in range(4)]
subCats = ['']
if opt.doPerEra: subCats += ['era==%d' % int(ord(x)) for x in 'BCDEF']
if opt.doPerPU: subCats += ['nvtx<20', 'nvtx>=20']
if opt.doPerAngle:
subCats += ['xangle==%d' % i for i in [120, 130, 140, 150]]
if opt.doPerNch: subCats += ['nch<15', 'nch>=15']
catList = list(itertools.product(baseCats, subCats))
outF = '%s/plotter_embkg.root' % opt.output
os.system('rm %s' % outF)
print '[doBackgroundValidation] with %d variations to test' % len(catList)
print '\t output will be available in', outF
for i, cat in enumerate(catList):
selCut = ''
for c in cat:
if len(c) == 0: continue
selCut += '%s&&' % c
selCut += opt.selCuts
titleCut = parseTitleFromCut(selCut)
print '\t', i, selCut
data = fillShapes(inputDir=opt.input, selCuts=selCut, proc='MuonEG')
for dist in data:
pname = '%s_%d' % (dist, i)
for c in [':', ',', '>', '=', '(', ')', '-', '<', '?']:
pname = pname.replace(c, '')
p = Plot(pname)
p.doChi2 = False #True
p.nominalDistForSystsName = 'background'
#if dist=='mmiss':
# newBins=range(0,1000,40)+[1000,1100,1200,1500,2000]
# print 'Rebinning',dist,'to',newBins
# for k in data[dist]:
# data[dist][k]=rebinUnequalBinSize(data[dist][k],newBins)
p.add(data[dist]['data'],
title='data',
color=ROOT.kBlack,
isData=True,
spImpose=False,
isSyst=False)
p.add(data[dist]['bkg'],
title='background',
color=ROOT.kCyan - 6,
isData=False,
spImpose=False,
isSyst=False)
#background systematics
ci = 1
for syst in [
'{0}_bkgshape_MuonEG_obsUp',
'{0}_bkgshape_MuonEG_obsDown',
'{0}_bkgsinglediffUp_MuonEG_obs',
'{0}_bkgsinglediffDown_MuonEG_obs',
]:
ci = ci + 1
p.add(
data[dist][syst.format(dist)],
title=syst,
color=ROOT.kCyan - 6, #ci
isData=False,
spImpose=False, #True,
isSyst=True) #False)
#p.ratiorange=[0.78,1.22]
p.ratiorange = [0.58, 1.43]
p.show(opt.output, opt.lumi, extraText='\\'.join(titleCut))
p.appendTo(outF)
p.reset()
def showRatios(ratios, outUrl):
"""shows the ratio plots"""
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(True)
os.system('rm %s' % outUrl)
outDir = os.path.dirname(outUrl)
COLOURS = [1, '#f4a582', '#bababa', '#abdda4']
for key in ratios:
p = Plot(key + '_ratio', com='13 TeV')
p.doPoissonErrorBars = False
p.ratiorange = (0.68, 1.34)
p.spimposeWithErrors = True
ic = 0
for h in ratios[key]:
p.add(h=h,
title=h.GetTitle(),
color=COLOURS[ic],
isData=False,
spImpose=True,
isSyst=False)
ic += 1
p.show(outDir=outDir,
lumi=41400,
noStack=False,
saveTeX=False,
noRatio=True)
p.appendTo(outUrl)
p.reset()
def drawPlots(data, period):
"""draw final plots comparing distributions in data and in mc"""
base = 'passStrip'
baseTitle = '=2 strip'
base = 'passPix'
baseTitle = '=2 px'
for d, pfix in [
('xangle', ''),
('nvtx', ''),
('yboson', ''),
('dyboson', ''),
('n', 'RP003'),
('n', 'RP023'),
('n', 'RP103'),
('n', 'RP123'),
('csi', 'RP003'),
('csi', 'RP023'),
('csi', 'RP103'),
('csi', 'RP123'),
('mpp', 'far'),
('mpp', 'near'),
('mmass', 'far'),
('mmass', 'near'),
('dmpp', ''),
('dmmass', ''),
]:
hpercat = {}
for tag in ['', 'matched']:
for cat in [base, 'passPixandpassStrip']:
try:
hpercat[(tag, cat)] = data.Get('%s_%s%s%s' %
(d, cat, tag, pfix))
hpercat[(tag, cat)].SetDirectory(0)
hpercat[(tag, cat)].Sumw2()
hpercat[(tag, cat)].GetYaxis().SetTitle('PDF')
except Exception as e:
print e
pass
#build the total
hpercat[(tag,
'tot')] = hpercat[(tag,
base)].Clone('tot_%s_%s' % (d, tag))
hpercat[(tag, 'tot')].Add(hpercat[(tag, 'passPixandpassStrip')])
hpercat[(tag, 'tot')].SetDirectory(0)
ntot = hpercat[(tag, 'tot')].Integral()
continue
for cat in [base, 'passPixandpassStrip']:
hpercat[(tag, cat)].Scale(1. / ntot)
if tag == '':
print base, hpercat[('', base)].Integral()
print base + 'passPixandpassStrip', hpercat[(
'', 'passPixandpassStrip')].Integral()
print '\t', hpercat[('', base)].Integral() / hpercat[
('', 'passPixandpassStrip')].Integral()
continue
if tag == 'matched': continue
p = Plot('%s%s_%s_era%s' % (d, pfix, tag, period), com='13 TeV')
p.savelog = True
p.range = [1e-3, 1]
p.doPoissonErrorBars = False
p.add(hpercat[(tag, base)],
title=baseTitle,
color=633,
isData=False,
spImpose=False,
isSyst=False)
p.add(hpercat[(tag, 'passPixandpassStrip')],
title='=2 px+strip',
color="#fdc086",
isData=False,
spImpose=False,
isSyst=False)
p.show(outDir='./', lumi=37500, noStack=False)
continue
def drawPlots(data, mc, period):
"""draw final plots comparing distributions in data and in mc"""
files = {'data': data, 'mc': mc}
base = 'passStrip'
baseTitle = '=2 strip'
base = 'passPix'
baseTitle = '=2 px'
for d, pfix in [
('xangle', ''),
#('nvtx',''), ('yboson',''), ('dyboson',''),
#('n','RP003'), ('n','RP023'), ('n','RP103'), ('n','RP123'),
#('csi','RP003'), ('csi','RP023'), ('csi','RP103'), ('csi','RP123'),
('mpp', 'far'),
('mpp', 'near'),
('mmass', 'far'),
('mmass', 'near'),
#('dmpp',''), ('dmmass',''),
]:
hpercat = {}
for tag in ['', 'matched']:
for x in files:
for cat in [base, 'passPixandpassStrip']:
try:
hpercat[(x, tag, cat)] = files[x].Get(
'%s_%s%s%s' % (d, cat, tag, pfix))
hpercat[(x, tag, cat)].SetDirectory(0)
hpercat[(x, tag, cat)].Sumw2()
hpercat[(x, tag, cat)].GetYaxis().SetTitle('PDF')
except:
pass
#remove overlap
#hpercat[(x,tag,base)].Add(hpercat[(x,tag,'passPixandpassStrip')],-1)
#build the total
hpercat[(x, tag, 'tot')] = hpercat[(x, tag, base)].Clone(
'tot_%s_%s' % (d, tag))
hpercat[(x, tag, 'tot')].Add(hpercat[(x, tag,
'passPixandpassStrip')])
hpercat[(x, tag, 'tot')].SetDirectory(0)
ntot = hpercat[(x, tag, 'tot')].Integral()
continue
for cat in [base, 'passPixandpassStrip']:
hpercat[(x, tag, cat)].Scale(1. / ntot)
if tag == '':
print base, hpercat[('data', '', base)].Integral()
print base + 'passPixandpassStrip', hpercat[(
'data', '', 'passPixandpassStrip')].Integral()
print '\t', hpercat[('data', '', base)].Integral() / hpercat[
('data', '', 'passPixandpassStrip')].Integral()
continue
if tag == 'matched': continue
p = Plot('%s%s_%s_era%s' % (d, pfix, tag, period), com='13 TeV')
p.savelog = True
p.range = [1e-3, 1]
p.doPoissonErrorBars = False
p.add(hpercat[('data', tag, base)],
title=baseTitle,
color=633,
isData=False,
spImpose=False,
isSyst=False)
p.add(hpercat[('data', tag, 'passPixandpassStrip')],
title='=2 px+strip',
color="#fdc086",
isData=False,
spImpose=False,
isSyst=False)
try:
hpercat[('mc', tag, 'tot')].Scale(
1. / hpercat[('mc', tag, 'tot')].Integral())
p.add(hpercat[('mc', tag, 'tot')],
title='signal',
color=1,
isData=False,
spImpose=True,
isSyst=False)
except:
pass
p.show(outDir='./', lumi=37500, noStack=False)
continue
#efficiency
effgr = {}
for x, ms in [('data', 20), ('mc', 24)]:
effgr[x] = ROOT.TGraphAsymmErrors()
effgr[x].Divide(hpercat[(x, 'matched', 'tot')],
hpercat[(x, '', 'tot')])
effgr[x].SetMarkerStyle(ms)
effgr[x].SetTitle(x)
effgr[x].SetName(x)
p = Plot('%s%s_eff_era%s' % (d, pfix, period), com='13 TeV')
p.ytit = 'Efficiency'
p.xtit = hpercat[(x, 'matched', 'tot')].GetXaxis().GetTitle()
p.savelog = False
p.range = [1e-3, 1]
#p.add(effgr['mc'], title='MC', color=ROOT.kCyan+1, isData=False, spImpose=True, isSyst=False)
p.add(effgr['data'],
title='Data',
color=1,
isData=False,
spImpose=True,
isSyst=False)
p.show(outDir='./', lumi=37500, noStack=True)
def main(args):
parser = argparse.ArgumentParser(description='usage: %prog [options]')
parser.add_argument(
'-i',
'--input',
dest='input',
default=
'/eos/cms/store/cmst3/user/psilva/ExclusiveAna/final/ab05162/analysis_0p04/',
help='input directory with the files [default: %default]')
parser.add_argument(
'--sig',
dest='sig',
default=
'{boson}_m_X_{mass}_xangle_{xangle}_2017_preTS2_opt_v1_simu_reco.root',
help='signal point [%default]')
parser.add_argument('--massList',
dest='massList',
default='800,1000,1200',
help='signal mass list (CSV) [%default]')
parser.add_argument(
'--selCuts',
dest='selCuts',
default='bosonpt>40 && l1pt>30 && l2pt>20',
help='preselection for Z categories [default: %default]')
parser.add_argument('--doPerAngle',
dest='doPerAngle',
default=False,
help='do per crossing angle [default: %default]',
action='store_true')
parser.add_argument('--lumi',
dest='lumi',
default=37500.,
type=float,
help='integrated luminosity [default: %default]')
parser.add_argument('-o',
'--output',
dest='output',
default='analysis/bkg',
help='Output directory [default: %default]')
opt = parser.parse_args(args)
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
os.system('mkdir -p %s' % opt.output)
selCuts = [(opt.selCuts, '', 'e#mu')]
if opt.doPerAngle:
for xangle in VALIDLHCXANGLES:
selCuts.append((opt.selCuts + ' && xangle==%d' % xangle,
'_%d' % xangle, 'e#mu, %d #murad' % xangle))
for cuts, pfix, catTitle in selCuts:
os.system('rm %s/plotter_%s.root' % (opt.output, pfix))
data = fillShapes(inputDir=opt.input, selCuts=cuts, proc='MuonEG')
#sigs={}
#for m in opt.massList.split():
# if not m in sigs: sigs[m]={}
# for xangle in VALIDLHCXANGLES:
# newSigs=fillShapes(inputDir=opt.input,selCuts=opt.selCuts,tag=opt.sig.format(mass=m,xangle=xangle))
# for dist in newSigs:
# if not dist in sigs[m]:
# sigs[m]=newSigs[dist]['data'].Clone('{0}_{1}'.format(dist,m))
# #FIXME scale me according to xsec
#FIXME plot me
for dist in data:
pname = dist + pfix
for c in [':', ',', '>', '=', '(', ')', '-', '<', '?']:
pname = pname.replace(c, '')
p = Plot(pname)
p.doChi2 = True
p.nominalDistForSystsName = 'background'
#if dist=='mmiss':
# newBins=range(0,1000,40)+[1000,1100,1200,1500,2000]
# print 'Rebinning',dist,'to',newBins
# for k in data[dist]:
# data[dist][k]=rebinUnequalBinSize(data[dist][k],newBins)
#main distributions
#doDivideByBinWidth=True if dist=='mmiss' or dist=='(bosony>=0?mmiss:-mmiss)' else False
#if doDivideByBinWidth:
# p.doPoissonErrorBars=False
p.add(data[dist]['data'],
title='data',
color=ROOT.kBlack,
isData=True,
spImpose=False,
isSyst=False) #,doDivideByBinWidth=doDivideByBinWidth)
p.add(data[dist]['bkg'],
title='background',
color=ROOT.TColor.GetColor('#1f78b4'),
isData=False,
spImpose=False,
isSyst=False) #,doDivideByBinWidth=doDivideByBinWidth)
#background systematics
for syst in [
'{0}_bkgshape_MuonEG_obsUp', '{0}_bkgshape_MuonEG_obsDown',
'{0}_bkgsinglediff_MuonEG_obsDown',
'{0}_bkgsinglediff_MuonEG_obsUp'
]:
p.add(data[dist][syst.format(dist)],
title=syst,
color=ROOT.TColor.GetColor('#1f78b4'),
isData=False,
spImpose=False,
isSyst=True)
#doDivideByBinWidth=doDivideByBinWidth)
#p.ratiorange=[0.78,1.22]
#p.ratiorange=[0.58,1.42]
p.ratiorange = [0., 2.]
p.show(opt.output, opt.lumi, extraText=catTitle)
p.appendTo('%s/plotter_%s.root' % (opt.output, pfix))
p.reset()
def main():
#configuration
usage = 'usage: %prog [options]'
parser = optparse.OptionParser(usage)
parser.add_option('--mcUnc',
dest='mcUnc',
help='common MC related uncertainty (e.g. lumi)',
default=0,
type=float)
parser.add_option('--com',
dest='com',
help='center of mass energy',
default='13 TeV',
type='string')
parser.add_option('--rawYields',
dest='rawYields',
help='do not scale by lumi, xsec, etc.',
default=False,
action='store_true')
parser.add_option('-j',
'--json',
dest='json',
help='json with list of files',
default=None,
type='string')
parser.add_option('--systJson',
dest='systJson',
help='json with list of systematics',
default=None,
type='string')
parser.add_option('--signalJson',
dest='signalJson',
help='signal json list',
default=None,
type='string')
parser.add_option('-i',
'--inDir',
dest='inDir',
help='input directory',
default=None,
type='string')
parser.add_option('-O',
'--outDir',
dest='outDir',
help='output directory',
default=None,
type='string')
parser.add_option('-o',
'--outName',
dest='outName',
help='name of the output file',
default='plotter.root',
type='string')
parser.add_option('--noStack',
dest='noStack',
help='don\'t stack distributions',
default=False,
action='store_true')
parser.add_option('--normToData',
dest='normToData',
help='normalize to data yields',
default=False,
action='store_true')
parser.add_option('--binWid',
dest='binWid',
help='divide by bin width',
default=False,
action='store_true')
parser.add_option('--saveLog',
dest='saveLog',
help='save log versions of the plots',
default=False,
action='store_true')
parser.add_option('--silent',
dest='silent',
help='only dump to ROOT file',
default=False,
action='store_true')
parser.add_option('--ratioRange',
dest='ratioRange',
help='ratio range',
default="0.4,1.6",
type='string')
parser.add_option('--onlyData',
dest='onlyData',
help='only plots containing data',
default=False,
action='store_true')
parser.add_option('--saveTeX',
dest='saveTeX',
help='save as tex file as well',
default=False,
action='store_true')
parser.add_option('--rebin',
dest='rebin',
help='rebin factor',
default=1,
type=int)
parser.add_option('-l',
'--lumi',
dest='lumi',
help='lumi to print out, if == 1 draw normalized',
default=12900,
type=float)
parser.add_option(
'--lumiSpecs',
dest='lumiSpecs',
help='lumi specifications for some channels [tag:lumi,tag2:lumi2,...]',
default=None,
type=str)
parser.add_option('--only',
dest='only',
help='plot only these (csv)',
default='',
type='string')
parser.add_option('--strictOnly',
dest='strictOnly',
help='strict matching for only plots',
default=False,
action='store_true')
parser.add_option('--skip',
dest='skip',
help='skip these samples (csv)',
default='MC13TeV_TTJets_cflip',
type='string')
parser.add_option('--rawList',
dest='rawList',
help='don\'t scale these samples',
default='',
type='string')
parser.add_option(
'--puNormSF',
dest='puNormSF',
help='Use this histogram to correct pu weight normalization',
default=None,
type='string')
parser.add_option(
'--procSF',
dest='procSF',
help=
'Use this to scale a given process component e.g. "W":.wjetscalefactors.pck,"DY":dyscalefactors.pck',
default=None,
type='string')
(opt, args) = parser.parse_args()
opt.ratioRange = [float(x) for x in opt.ratioRange.split(',')]
#read lists of samples
samplesList = []
jsonList = opt.json.split(',')
for jsonPath in jsonList:
jsonFile = open(jsonPath, 'r')
samplesList += json.load(jsonFile,
encoding='utf-8',
object_pairs_hook=OrderedDict).items()
jsonFile.close()
#read lists of syst samples
systSamplesList = []
if opt.systJson:
systJsonList = opt.systJson.split(',')
for jsonPath in systJsonList:
jsonFile = open(jsonPath, 'r')
systSamplesList += json.load(jsonFile, encoding='utf-8').items()
jsonFile.close()
#read list of signal samples
signalSamplesList = None
try:
jsonFile = open(opt.signalJson, 'r')
signalSamplesList = json.load(jsonFile,
encoding='utf-8',
object_pairs_hook=OrderedDict).items()
jsonFile.close()
except:
pass
skipList = opt.skip.split(',')
#lumi specifications per tag
lumiSpecs = {}
if opt.lumiSpecs:
for spec in opt.lumiSpecs.split(','):
tag, lumi = spec.split(':')
lumiSpecs[tag] = float(lumi)
print lumiSpecs
#proc SF
procSF = {}
if opt.procSF:
procList = opt.procSF.split(',')
for newProc in procList:
proc, cacheUrl = newProc.split(':')
if os.path.isfile(cacheUrl):
cache = open(cacheUrl, 'r')
procSF[proc] = pickle.load(cache)
cache.close()
print 'Scale factors added for', proc
else:
try:
procSF[proc] = {'': (float(cacheUrl), 0)}
print 'Scale factors added for', proc
except:
pass
onlyList = opt.only.split(',')
rawList = opt.rawList.split(',')
#read plots
plots = OrderedDict()
report = ''
for slist, isSignal, isSyst in [(samplesList, False, False),
(signalSamplesList, True, False),
(systSamplesList, False, True)]:
if slist is None: continue
for tag, sample in slist:
print "tag: %s, sample: %s" % (tag, sample)
if isSyst and not 't#bar{t}' in sample[3]: continue
if tag in skipList:
print("SKIPPED " + tag)
continue
skip = False
for sl in skipList:
if ROOT.TString(tag).Contains(sl):
skip = True
break
if skip:
print("SKIPPED " + tag)
continue
xsec = sample[0]
isData = sample[1]
doFlavourSplitting = sample[6]
subProcs = [(tag, sample[3], sample[4])]
if doFlavourSplitting:
subProcs = []
for flav in [(1, sample[3] + '+l'), (4, sample[3] + '+c'),
(5, sample[3] + '+b', sample[4])]:
subProcs.append(('%d_%s' % (flav[0], tag), flav[1],
sample[4] + 3 * len(subProcs)))
for sp in subProcs:
print '%s/%s.root' % (opt.inDir, sp[0])
fIn = ROOT.TFile.Open('%s/%s.root' % (opt.inDir, sp[0]))
if not fIn: continue
#fix pileup weighting normalization
puNormSF = 1
if opt.puNormSF and not isData:
puCorrH = fIn.Get(opt.puNormSF)
if tag not in rawList:
try:
nonWgt = puCorrH.GetBinContent(1)
wgt = puCorrH.GetBinContent(2)
if wgt > 0:
puNormSF = nonWgt / wgt
if puNormSF > 1.3 or puNormSF < 0.7:
puNormSF = 1
report += '%s wasn\'t be scaled as too large SF was found (probably low stats)\n' % sp[
0]
else:
report += '%s was scaled by %3.3f for pileup normalization\n' % (
sp[0], puNormSF)
except:
print 'Check pu weight control histo', opt.puNormSF, 'for', sp[
0]
for tkey in fIn.GetListOfKeys():
keyIsSyst = False
try:
key = tkey.GetName()
#filter plots using a selection list
keep = False if len(onlyList) > 0 else True
for pname in onlyList:
if opt.strictOnly and pname != key: continue
if not opt.strictOnly and not pname in key:
continue
keep = True
break
if not keep: continue
histos = []
obj = fIn.Get(key)
if obj.InheritsFrom('TH2'):
if key[-5:] == '_syst':
if sample[3] == 't#bar{t}':
keyIsSyst = True
key = key[:-5]
for ybin in xrange(1, obj.GetNbinsY() + 1):
for xbin in xrange(
0,
obj.GetNbinsX() + 2):
if math.isnan(
obj.GetBinContent(
xbin, ybin)):
obj.SetBinContent(
xbin, ybin, 0)
obj.SetBinError(xbin, ybin, 0)
weighthist = obj.ProjectionX(
'_px' + str(ybin), ybin, ybin)
weighthist.SetTitle(sp[1] +
' weight ' +
str(ybin))
weighthist.Draw()
if (weighthist.Integral() > 0):
histos.append(weighthist)
else:
continue
else:
histos.append(obj)
histos[-1].SetTitle(sp[1])
else:
histos.append(obj)
histos[-1].SetTitle(sp[1])
for hist in histos:
if "vbfmva" in hist.GetName() and isData:
tmpBin = hist.GetXaxis().FindBin(0.2)
for iBin in range(tmpBin,
hist.GetXaxis().GetNbins()):
hist.SetBinContent(iBin, 0.0000001)
if not isData and not '(data)' in sp[1]:
#check if a special scale factor needs to be applied
sfVal = 1.0
for procToScale in procSF:
if sp[1] == procToScale:
for pcat in procSF[procToScale]:
if pcat not in key: continue
sfVal = procSF[procToScale][pcat][
0]
break
#scale by lumi
lumi = opt.lumi
for lSpec in lumiSpecs:
if not lSpec in key.split('_'): continue
lumi = lumiSpecs[lSpec]
break
if not opt.rawYields and not tag in rawList:
hist.Scale(xsec * lumi * puNormSF * sfVal)
#rebin if needed
if opt.rebin > 1: hist.Rebin(opt.rebin)
#create new plot if needed
if not key in plots:
plots[key] = Plot(key, com=opt.com)
plots[key].ratiorange = opt.ratioRange
#add process to plot
plots[key].add(h=hist,
title=hist.GetTitle(),
color=sp[2],
isData=sample[1],
spImpose=isSignal,
isSyst=(isSyst or keyIsSyst),
doDivideByBinWidth=opt.binWid)
except Exception as e:
print e
pass
#show plots
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(True)
if (not opt.outDir):
outDir = opt.inDir + '/plots/' + opt.outName.split('.root')[0]
else:
outDir = opt.outDir
os.system('mkdir -p %s' % outDir)
os.system('rm %s/%s' % (outDir, opt.outName))
for p in plots:
plots[p].mcUnc = opt.mcUnc
if opt.saveLog: plots[p].savelog = True
skipPlot = False
if opt.onlyData and plots[p].dataH is None: skipPlot = True
if opt.silent: skipPlot = True
lumi = opt.lumi
for lSpec in lumiSpecs:
if not lSpec in p.split('_'): continue
lumi = lumiSpecs[lSpec]
break
#continue
if opt.normToData: plots[p].normToData()
if not skipPlot:
plots[p].show(outDir=outDir,
lumi=lumi,
noStack=opt.noStack,
saveTeX=opt.saveTeX)
plots[p].appendTo('%s/../%s' % (outDir, opt.outName))
plots[p].reset()
print '-' * 50
print 'Plots and summary ROOT file can be found in %s' % outDir
if len(report): print report
print '-' * 50
weights[xangle] = mmh['rho_%d' % xangle].Clone('ratio_%d' % xangle)
weights[xangle].Divide(zbh['rho_%d' % xangle])
weights[xangle].SetDirectory(0)
print '\t weighted ZeroBias histos'
wzbh = getHistos(zb,
'wzb',
'ZeroBias (weighted)',
lw=1,
lc=ROOT.kRed,
ms=1,
weights=weights)
for key in zbh:
p = Plot('%s_2017%s' % (key, era), com='13 TeV')
p.doPoissonErrorBars = False
p.add(zbh[key],
title=zbh[key].GetTitle(),
color=ROOT.kGray,
isData=False,
spImpose=False,
isSyst=False)
p.add(wzbh[key],
title=wzbh[key].GetTitle(),
color=ROOT.kRed,
isData=False,
spImpose=False,
isSyst=False)
p.add(mmh[key],
title=mmh[key].GetTitle(),
