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()
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)
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()
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()
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)
