def main(args, opt):
trees = {}
for filename in os.listdir(args[0]):
if not os.path.splitext(filename)[1] == '.root': continue
isdata, pname, splitno = resolveFilename(filename)
treefile = os.path.join(args[0], filename)
tfile = ROOT.TFile.Open(treefile, 'READ')
trees[pname] = tfile.Get(TREENAME)
try:
cachefile = open('genmlbhists.pck', 'r')
hists = pickle.load(cachefile)
print '>>> Read syst histos from cache (.svlsysthistos.pck)'
cachefile.close()
except IOError:
hists = {}
for tag, sel in MLBSELECTIONS:
for pname in trees.keys():
print '... processing', pname, tag
hists[(pname, tag)] = getHistoFromTree(trees[pname],
sel=sel,
var='GenMlb',
hname="GenMlb_%s_%s" %
(pname, tag),
nbins=100,
xmin=0,
xmax=200,
titlex=MLBAXISTITLE)
cachefile = open('genmlbhists.pck', 'w')
pickle.dump(hists, cachefile, pickle.HIGHEST_PROTOCOL)
print '>>> Dumped histos to cachefile (genmlbhists.pck)'
cachefile.close()
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
for tag, _ in MLBSELECTIONS:
plot = RatioPlot('genmlb')
plot.normalized = False
plot.add(hists[('TTJets_MSDecays_172v5', tag)], 'Nominal')
plot.add(hists[('TTJets_MSDecays_scaleup', tag)], 'Q^{2} scale up')
plot.add(hists[('TTJets_MSDecays_scaledown', tag)], 'Q^{2} scale down')
plot.tag = "Generator level m_{lb} shape"
if tag == 'cor':
plot.subtag = "Correct combinations"
else:
plot.subtag = "Wrong combinations"
plot.ratiotitle = 'Ratio wrt nominal'
plot.titlex = MLBAXISTITLE
plot.tagpos = (0.22, 0.85)
plot.subtagpos = (0.22, 0.78)
plot.legpos = (0.20, 0.55)
plot.ratiorange = (0.85, 1.15)
plot.colors = [ROOT.kBlue - 3, ROOT.kRed - 4, ROOT.kOrange - 3]
plot.show("genmlb_scale_%s" % tag, opt.outDir)
return 0
def main(args, opt):
trees = {}
for filename in os.listdir(args[0]):
if not os.path.splitext(filename)[1] == '.root': continue
isdata, pname, splitno = resolveFilename(filename)
treefile = os.path.join(args[0], filename)
tfile = ROOT.TFile.Open(treefile,'READ')
trees[pname] = tfile.Get(TREENAME)
try:
cachefile = open('genmlbhists.pck', 'r')
hists = pickle.load(cachefile)
print '>>> Read syst histos from cache (.svlsysthistos.pck)'
cachefile.close()
except IOError:
hists = {}
for tag,sel in MLBSELECTIONS:
for pname in trees.keys():
print '... processing', pname, tag
hists[(pname,tag)] = getHistoFromTree(trees[pname],
sel=sel,
var='GenMlb',
hname="GenMlb_%s_%s"%(pname,tag),
nbins=100,xmin=0,xmax=200,
titlex=MLBAXISTITLE)
cachefile = open('genmlbhists.pck', 'w')
pickle.dump(hists, cachefile, pickle.HIGHEST_PROTOCOL)
print '>>> Dumped histos to cachefile (genmlbhists.pck)'
cachefile.close()
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
for tag,_ in MLBSELECTIONS:
plot = RatioPlot('genmlb')
plot.normalized = False
plot.add(hists[('TTJets_MSDecays_172v5', tag)], 'Nominal')
plot.add(hists[('TTJets_MSDecays_scaleup', tag)], 'Q^{2} scale up')
plot.add(hists[('TTJets_MSDecays_scaledown', tag)], 'Q^{2} scale down')
plot.tag = "Generator level m_{lb} shape"
if tag == 'cor':
plot.subtag = "Correct combinations"
else:
plot.subtag = "Wrong combinations"
plot.ratiotitle = 'Ratio wrt nominal'
plot.titlex = MLBAXISTITLE
plot.tagpos = (0.22, 0.85)
plot.subtagpos = (0.22, 0.78)
plot.legpos = (0.20, 0.55)
plot.ratiorange = (0.85, 1.15)
plot.colors = [ROOT.kBlue-3, ROOT.kRed-4, ROOT.kOrange-3]
plot.show("genmlb_scale_%s"%tag, opt.outDir)
return 0
def makeSVMassPlots(histodict):
ratplot = RatioPlot('SVMass')
ratplot.normalized = True
ratplot.ratiorange = (0.5,1.5)
ratplot.legpos = (0.65, 0.60)
ratplot.ratiotitle = 'Data/MC'
ratplot.extratext = '' #Work in Progress'
ratplot.tag = "Inclusive"
# ratplot.tag = "e#mu channel"
ratplot.tagpos = (0.80,0.55)
ratplot.add(histodict[('nominal','SVMass',3)], 'N_{trk}=3 t#bar{t} MC', includeInRatio=False)
ratplot.add(histodict[('data', 'SVMass',3)], 'N_{trk}=3 Data', includeInRatio=True)
ratplot.add(histodict[('nominal','SVMass',4)], 'N_{trk}=4 t#bar{t} MC', includeInRatio=False)
ratplot.add(histodict[('data', 'SVMass',4)], 'N_{trk}=4 Data', includeInRatio=True)
ratplot.add(histodict[('nominal','SVMass',5)], 'N_{trk}=5 t#bar{t} MC', includeInRatio=False)
ratplot.add(histodict[('data', 'SVMass',5)], 'N_{trk}=5 Data', includeInRatio=True)
ratplot.reference = [histodict[('nominal','SVMass',3)]]
ratplot.reference.append(histodict[('nominal','SVMass',4)])
ratplot.reference.append(histodict[('nominal','SVMass',5)])
ratplot.colors = [ROOT.kMagenta+1, ROOT.kMagenta+1,
ROOT.kViolet+2, ROOT.kViolet+2,
ROOT.kAzure+7, ROOT.kAzure+7]
ratplot.drawoptions = ['hist', 'PE', 'hist', 'PE', 'hist', 'PE']
ratplot.markerstyles = [24, 24, 25, 25, 26, 26]
ratplot.markersizes = len(ratplot.histos)*[1.4]
ratplot.show('svmassplot',opt.outDir)
ratplot.saveRatios('svmass_weights',opt.outDir,['SVMass_weight_3','SVMass_weight_4','SVMass_weight_5'])
def makeMassPlot(histos, outname, tag='', subtag=''):
ratplot = RatioPlot('ratioplot')
ratplot.normalized = False
ratplot.ratiotitle = "Ratio wrt 172.5 GeV"
ratplot.extratext = ''
ratplot.tag = tag
ratplot.subtag = subtag
ratplot.legpos = (0.65, 0.62)
ratplot.ratiorange = (0.7, 1.3)
ratplot.titlex = 'm_{svl} [GeV]'
ratplot.xlabelsize = 28
ratplot.xtitlesize = 34
ratplot.ylabelsize = 28
ratplot.ytitlesize = 34
ratplot.ytitleoffset = 1.8
ratplot.xtitleoffset = 3
ratplot.legendtextsize = 28
ratplot.legendrowsize = 0.08
ratplot.reference = [histos[172.5]]
ratplot.titley = "Combinations / %3.1f GeV" %histos['data'].GetXaxis().GetBinWidth(1)
####################################################
# Construct dummy data for now
# dummy = histos[172.5].Clone('dummy_data')
# dummy.Reset('ICE')
# dummy.FillRandom(histos[173.5], ROOT.gRandom.Poisson(histos[172.5].Integral()))
# ratplot.add(dummy,'Pseudo Data (@173.5 GeV)')
####################################################
####################################################
# REAL DATA:
ratplot.add(histos['data'], 'Data')
####################################################
# histos[MASSESTOPLOT[0]].SetLineStyle(2)
# histos[MASSESTOPLOT[-1]].SetLineStyle(3)
for mass in MASSESTOPLOT:
legentry = 'm_{t} = %5.1f GeV' % mass
try:
histo = histos[mass]
ratplot.add(histo, legentry, includeInRatio=(mass != 172.5))
except KeyError: pass
# ratplot.colors = [ROOT.kBlack, ROOT.kAzure-4, ROOT.kAzure+1, ROOT.kAzure-6]
# ratplot.colors = [ROOT.kBlack, ROOT.kAzure-2, ROOT.kGray, ROOT.kOrange+9]
ratplot.colors = [ROOT.kBlack, ROOT.kSpring-8, ROOT.kGray+1, ROOT.kOrange+9]
# ratplot.colors = [ROOT.kBlack, ROOT.kOrange-4, ROOT.kOrange-3, ROOT.kOrange+9]
ratplot.drawoptions = ['PE', 'hist', 'hist', 'hist']
ratplot.markerstyles = [20,1,1,1]
ratplot.markersizes = [1.5,1,1,1]
ratplot.ratioydivisions = 405
ratplot.show("massscan_paper_%s"%outname, opt.outDir)
def makeSVMassPlots(histodict):
ratplot = RatioPlot('SVMass')
ratplot.normalized = True
ratplot.ratiorange = (0.5, 1.5)
ratplot.legpos = (0.65, 0.60)
ratplot.ratiotitle = 'Data/MC'
ratplot.extratext = '' #Work in Progress'
ratplot.tag = "Inclusive"
# ratplot.tag = "e#mu channel"
ratplot.tagpos = (0.80, 0.55)
ratplot.add(histodict[('nominal', 'SVMass', 3)],
'N_{trk}=3 t#bar{t} MC',
includeInRatio=False)
ratplot.add(histodict[('data', 'SVMass', 3)],
'N_{trk}=3 Data',
includeInRatio=True)
ratplot.add(histodict[('nominal', 'SVMass', 4)],
'N_{trk}=4 t#bar{t} MC',
includeInRatio=False)
ratplot.add(histodict[('data', 'SVMass', 4)],
'N_{trk}=4 Data',
includeInRatio=True)
ratplot.add(histodict[('nominal', 'SVMass', 5)],
'N_{trk}=5 t#bar{t} MC',
includeInRatio=False)
ratplot.add(histodict[('data', 'SVMass', 5)],
'N_{trk}=5 Data',
includeInRatio=True)
ratplot.reference = [histodict[('nominal', 'SVMass', 3)]]
ratplot.reference.append(histodict[('nominal', 'SVMass', 4)])
ratplot.reference.append(histodict[('nominal', 'SVMass', 5)])
ratplot.colors = [
ROOT.kMagenta + 1, ROOT.kMagenta + 1, ROOT.kViolet + 2,
ROOT.kViolet + 2, ROOT.kAzure + 7, ROOT.kAzure + 7
]
ratplot.drawoptions = ['hist', 'PE', 'hist', 'PE', 'hist', 'PE']
ratplot.markerstyles = [24, 24, 25, 25, 26, 26]
ratplot.markersizes = len(ratplot.histos) * [1.4]
ratplot.show('svmassplot', opt.outDir)
ratplot.saveRatios(
'svmass_weights', opt.outDir,
['SVMass_weight_3', 'SVMass_weight_4', 'SVMass_weight_5'])
def main(args, opt):
os.system('mkdir -p %s' % opt.outDir)
masstrees, massfiles = getMassTrees(args[0], verbose=True)
masspoints = sorted(list(set([mass for mass, _ in masstrees.keys()])))
hname_to_keys = {} # hname -> (tag, chan, mass, comb, [ntk1])
tasklist = {} ## (mass,chan) -> tasks
for (mass, chan) in masstrees.keys():
tasks = []
for tag, sel, _ in SELECTIONS:
#htag = ("%s_%5.1f_tt"%(tag,mass)).replace('.','')
#if not chan == 'tt':
htag = ("%s_%5.1f_%s" % (tag, mass, chan)).replace('.', '')
for comb, combsel in COMBINATIONS.iteritems():
hname = "SVLMass_%s_%s" % (comb, htag)
finalsel = "%s*(%s&&%s)" % (COMMONWEIGHT, sel, combsel)
tasks.append((hname, 'SVLMass', finalsel, NBINS, XMIN, XMAX,
MASSXAXISTITLE))
hname_to_keys[hname] = (tag, chan, mass, comb)
for ntk1, ntk2 in NTRKBINS:
tksel = "(SVNtrk>=%d && SVNtrk<%d)" % (ntk1, ntk2)
finalsel = "%s*(%s&&%s&&%s)" % (COMMONWEIGHT, sel, combsel,
tksel)
hname = "SVLMass_%s_%s_%d" % (comb, htag, ntk1)
tasks.append((hname, 'SVLMass', finalsel, NBINS, XMIN,
XMAX, MASSXAXISTITLE))
hname_to_keys[hname] = (tag, chan, mass, comb, ntk1)
tasklist[(mass, chan)] = tasks
if not opt.cache:
runTasks(massfiles, tasklist, opt, 'mass_histos')
## Retrieve the histograms from the individual files
# (tag, chan, mass, comb) -> histo
# (tag, chan, mass, comb, ntk) -> histo
masshistos = gatherHistosFromFiles(
tasklist, massfiles, os.path.join(opt.outDir, 'mass_histos'),
hname_to_keys)
cachefile = open(".svlmasshistos.pck", 'w')
pickle.dump(masshistos, cachefile, pickle.HIGHEST_PROTOCOL)
cachefile.close()
print 'Wrote .svlmasshistos.pck with all the mass histos'
else:
## Read mass scan histos:
cachefile = open(".svlmasshistos.pck", 'r')
masshistos = pickle.load(cachefile)
print '>>> Read mass scan histograms from cache (.svlmasshistos.pck)'
cachefile.close()
# ofi = ROOT.TFile(os.path.join(opt.outDir,'masshistos.root'),
# 'recreate')
# ofi.cd()
# for key in masshistos.keys():
# tag, chan, mass = key[0],key[1],key[2]
# if not ofi.cd(tag):
# outDir = ofi.mkdir(tag)
# outDir.cd()
# for comb in COMBINATIONS.keys():
# masshistos[(tag,chan,mass,comb)].Write()
# for ntk,_ in NTRKBINS:
# masshistos[(tag,chan,mass,comb,ntk)].Write()
# ofi.Write()
# ofi.Close()
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
cachefile = open(".xsecweights.pck", 'r')
xsecweights = pickle.load(cachefile)
cachefile.close()
print '>>> Read xsec weights from cache (.xsecweights.pck)'
## Scale all the histograms for the plotting:
for key, hist in masshistos.iteritems():
hist.Scale(LUMI * xsecweights[CHANMASSTOPROCNAME[(key[1], key[2])]])
errorGetters = {} # tag -> function(chi2) -> error
systematics = {} # (seltag, systname) -> error
mass_scan_dir = os.path.join(opt.outDir, 'mass_scans')
for tag, sel, seltag in SELECTIONS:
print "... processing %s" % tag
pairing = 'inclusive'
try:
pairing = tag.split('_', 1)[1]
except IndexError:
pass
for chan in ['tt', 't', 'tbar', 'tW', 'tbarW']:
# print " %s channel" % chan
## Skip some useless combinations:
chanTitle = chan
if chanTitle == 'tt': chanTitle = 'ttbar'
chanTitle = chanTitle.replace('tbar', '#bar{t}')
if chan in ['t', 'tbar'] and ('ee' in tag or 'mm' in tag
or 'em' in tag):
continue
if chan in ['tW', 'tbarW'] and tag in [
'e', 'm', 'eplus', 'eminus', 'mplus', 'mminus',
'e_optmrank', 'm_optmrank', 'eplus_optmrank',
'eminus_optmrank', 'mplus_optmrank', 'mminus_optmrank'
]:
continue
ratplot = RatioPlot('ratioplot')
ratplot.normalized = False
ratplot.ratiotitle = "Ratio wrt 172.5 GeV"
ratplot.ratiorange = (0.5, 1.5)
ratplot.rebin = 2
reference = masshistos[(tag, chan, 172.5, 'tot')]
ratplot.reference = reference
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try:
histo = masshistos[(tag, chan, mass, 'tot')]
ratplot.add(histo, legentry)
except KeyError:
pass
# print "Can't find ", (tag,chan,mass,'tot')
ratplot.tag = 'All combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_tot" % (tag, chan), mass_scan_dir)
# chi2s = ratplot.getChiSquares(rangex=FITRANGE)
# chi2stofit = []
# for legentry in sorted(chi2s.keys()):
# chi2stofit.append((float(legentry[8:-4]), chi2s[legentry]))
# errorGetters[tag] = fitChi2(chi2stofit,
# tag=seltag,
# oname=os.path.join(mass_scan_dir,
# "chi2_simple_fit_%s.pdf"%tag),
# drawfit=False)
ratplot.reset()
ratplot.reference = masshistos[(tag, chan, 172.5, 'cor')]
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try:
ratplot.add(masshistos[(tag, chan, mass, 'cor')], legentry)
except KeyError:
pass
ratplot.tag = 'Correct combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_cor" % (tag, chan), mass_scan_dir)
ratplot.reset()
ratplot.reference = masshistos[(tag, chan, 172.5, 'wro')]
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try:
ratplot.add(masshistos[(tag, chan, mass, 'wro')], legentry)
except KeyError:
pass
ratplot.tag = 'Wrong combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_wro" % (tag, chan), mass_scan_dir)
ratplot.reset()
ratplot.reference = masshistos[(tag, chan, 172.5, 'unm')]
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try:
ratplot.add(masshistos[(tag, chan, mass, 'unm')], legentry)
except KeyError:
pass
ratplot.tag = 'Unmatched combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_unm" % (tag, chan), mass_scan_dir)
ratplot.reset()
## ntkscan plot
if 'inclusive' in tag:
ntkmassplot = RatioPlot('ntkmassplot_%s' % tag)
ntkmassplot.rebin = 2
ntkmassplot.reference = [masshistos[(tag, 'tt', 172.5, 'tot')]]
ntkmassplot.add(masshistos[(tag, 'tt', 172.5, 'tot')],
'Sum',
includeInRatio=False)
for ntk1, ntk2 in NTRKBINS:
title = "%d #leq N_{trk.} < %d" % (ntk1, ntk2)
if ntk2 > 100:
title = "%d #leq N_{trk.}" % (ntk1)
ntkmassplot.add(masshistos[(tag, 'tt', 172.5, 'tot', ntk1)],
title)
ntkmassplot.colors = [
ROOT.kOrange + 8, ROOT.kGreen + 3, ROOT.kGreen + 1,
ROOT.kGreen, ROOT.kGreen - 10, ROOT.kYellow - 3,
ROOT.kYellow - 5
]
ntkmassplot.ratiorange = (0, 3.0)
ntkmassplot.ratiotitle = "Ratio wrt Sum"
ntkmassplot.tag = 'm_{t} = 172.5 GeV'
ntkmassplot.subtag = '%s, %s' % (pairing, seltag)
ntkmassplot.show("ntkscan_%s" % tag, opt.outDir)
ntkmassplot.reset()
#fractions
for tag, sel, seltag in SELECTIONS:
print 70 * '-'
print '%-10s: %s %s' % (tag, sel, seltag)
if not ('inclusive' in tag): continue
fcor, fwro, funm = {}, {}, {}
for mass, proc in sorted(massfiles.keys()):
# mass = 172.5
ncount = {}
for comb in ['tot', 'cor', 'wro', 'unm']:
hist = masshistos[(tag, proc, mass, comb)]
ncount[comb] = hist.Integral()
fcor[mass] = 100. * (ncount['cor'] / float(ncount['tot']))
fwro[mass] = 100. * (ncount['wro'] / float(ncount['tot']))
funm[mass] = 100. * (ncount['unm'] / float(ncount['tot']))
print(
' %-6s %5.1f GeV: %7d entries \t'
'(%4.1f%% corr, %4.1f%% wrong, %4.1f%% unmatched)' %
(proc, mass, ncount['tot'], fcor[mass], fwro[mass],
funm[mass]))
oname = os.path.join(opt.outDir, 'fracvsmt_%s' % tag)
plotFracVsTopMass(fcor, fwro, funm, tag, seltag, oname)
return 0
def main(args, opt):
os.system('mkdir -p %s'%opt.outDir)
masstrees, massfiles = getMassTrees(args[0], verbose=True)
masspoints = sorted(list(set([mass for mass,_ in masstrees.keys()])))
hname_to_keys = {} # hname -> (tag, chan, mass, comb, [ntk1])
tasklist = {} ## (mass,chan) -> tasks
for (mass,chan) in masstrees.keys():
tasks = []
for tag,sel,_ in SELECTIONS:
#htag = ("%s_%5.1f_tt"%(tag,mass)).replace('.','')
#if not chan == 'tt':
htag = ("%s_%5.1f_%s"%(tag,mass,chan)).replace('.','')
for comb,combsel in COMBINATIONS.iteritems():
hname = "SVLMass_%s_%s" % (comb, htag)
finalsel = "%s*(%s&&%s)"%(COMMONWEIGHT,sel,combsel)
tasks.append((hname, 'SVLMass', finalsel,
NBINS, XMIN, XMAX, MASSXAXISTITLE))
hname_to_keys[hname] = (tag, chan, mass, comb)
for ntk1,ntk2 in NTRKBINS:
tksel = "(SVNtrk>=%d && SVNtrk<%d)"%(ntk1,ntk2)
finalsel = "%s*(%s&&%s&&%s)"%(COMMONWEIGHT, sel,
combsel,tksel)
hname = "SVLMass_%s_%s_%d" % (comb, htag, ntk1)
tasks.append((hname, 'SVLMass', finalsel,
NBINS, XMIN, XMAX, MASSXAXISTITLE))
hname_to_keys[hname] = (tag, chan, mass, comb, ntk1)
tasklist[(mass,chan)] = tasks
if not opt.cache:
runTasks(massfiles, tasklist, opt, 'mass_histos')
## Retrieve the histograms from the individual files
# (tag, chan, mass, comb) -> histo
# (tag, chan, mass, comb, ntk) -> histo
masshistos = gatherHistosFromFiles(tasklist, massfiles,
os.path.join(opt.outDir,
'mass_histos'),
hname_to_keys)
cachefile = open(".svlmasshistos.pck", 'w')
pickle.dump(masshistos, cachefile, pickle.HIGHEST_PROTOCOL)
cachefile.close()
print 'Wrote .svlmasshistos.pck with all the mass histos'
else:
## Read mass scan histos:
cachefile = open(".svlmasshistos.pck", 'r')
masshistos = pickle.load(cachefile)
print '>>> Read mass scan histograms from cache (.svlmasshistos.pck)'
cachefile.close()
# ofi = ROOT.TFile(os.path.join(opt.outDir,'masshistos.root'),
# 'recreate')
# ofi.cd()
# for key in masshistos.keys():
# tag, chan, mass = key[0],key[1],key[2]
# if not ofi.cd(tag):
# outDir = ofi.mkdir(tag)
# outDir.cd()
# for comb in COMBINATIONS.keys():
# masshistos[(tag,chan,mass,comb)].Write()
# for ntk,_ in NTRKBINS:
# masshistos[(tag,chan,mass,comb,ntk)].Write()
# ofi.Write()
# ofi.Close()
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
cachefile = open(".xsecweights.pck", 'r')
xsecweights = pickle.load(cachefile)
cachefile.close()
print '>>> Read xsec weights from cache (.xsecweights.pck)'
## Scale all the histograms for the plotting:
for key, hist in masshistos.iteritems():
hist.Scale(LUMI*xsecweights[CHANMASSTOPROCNAME[(key[1], key[2])]])
errorGetters = {} # tag -> function(chi2) -> error
systematics = {} # (seltag, systname) -> error
mass_scan_dir = os.path.join(opt.outDir, 'mass_scans')
for tag,sel,seltag in SELECTIONS:
print "... processing %s"%tag
pairing = 'inclusive'
try: pairing = tag.split('_',1)[1]
except IndexError: pass
for chan in ['tt', 't', 'tbar', 'tW', 'tbarW']:
# print " %s channel" % chan
## Skip some useless combinations:
chanTitle=chan
if chanTitle=='tt' : chanTitle='ttbar'
chanTitle=chanTitle.replace('tbar','#bar{t}')
if chan in ['t','tbar'] and ('ee' in tag or 'mm' in tag or 'em' in tag):
continue
if chan in ['tW','tbarW'] and tag in ['e', 'm',
'eplus','eminus', 'mplus','mminus',
'e_optmrank', 'm_optmrank',
'eplus_optmrank','eminus_optmrank', 'mplus_optmrank','mminus_optmrank']:
continue
ratplot = RatioPlot('ratioplot')
ratplot.normalized = False
ratplot.ratiotitle = "Ratio wrt 172.5 GeV"
ratplot.ratiorange = (0.5, 1.5)
ratplot.rebin = 2
reference = masshistos[(tag,chan,172.5,'tot')]
ratplot.reference = reference
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try:
histo = masshistos[(tag,chan,mass,'tot')]
ratplot.add(histo, legentry)
except KeyError: pass
# print "Can't find ", (tag,chan,mass,'tot')
ratplot.tag = 'All combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_tot"%(tag,chan), mass_scan_dir)
# chi2s = ratplot.getChiSquares(rangex=FITRANGE)
# chi2stofit = []
# for legentry in sorted(chi2s.keys()):
# chi2stofit.append((float(legentry[8:-4]), chi2s[legentry]))
# errorGetters[tag] = fitChi2(chi2stofit,
# tag=seltag,
# oname=os.path.join(mass_scan_dir,
# "chi2_simple_fit_%s.pdf"%tag),
# drawfit=False)
ratplot.reset()
ratplot.reference = masshistos[(tag,chan,172.5,'cor')]
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try: ratplot.add(masshistos[(tag,chan,mass,'cor')], legentry)
except KeyError: pass
ratplot.tag = 'Correct combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_cor"%(tag,chan), mass_scan_dir)
ratplot.reset()
ratplot.reference = masshistos[(tag,chan,172.5,'wro')]
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try: ratplot.add(masshistos[(tag,chan,mass,'wro')], legentry)
except KeyError: pass
ratplot.tag = 'Wrong combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_wro"%(tag,chan), mass_scan_dir)
ratplot.reset()
ratplot.reference = masshistos[(tag,chan,172.5,'unm')]
for mass in masspoints:
legentry = 'm_{t} = %5.1f GeV' % mass
try: ratplot.add(masshistos[(tag,chan,mass,'unm')], legentry)
except KeyError: pass
ratplot.tag = 'Unmatched combinations'
ratplot.subtag = '%s %s' % (seltag, chanTitle)
ratplot.show("massscan_%s_%s_unm"%(tag,chan), mass_scan_dir)
ratplot.reset()
## ntkscan plot
if 'inclusive' in tag:
ntkmassplot = RatioPlot('ntkmassplot_%s'%tag)
ntkmassplot.rebin = 2
ntkmassplot.reference = [masshistos[(tag, 'tt', 172.5, 'tot')]]
ntkmassplot.add(masshistos[(tag, 'tt', 172.5, 'tot')], 'Sum', includeInRatio=False)
for ntk1,ntk2 in NTRKBINS:
title = "%d #leq N_{trk.} < %d" %(ntk1, ntk2)
if ntk2 > 100:
title = "%d #leq N_{trk.}" %(ntk1)
ntkmassplot.add(masshistos[(tag, 'tt', 172.5, 'tot', ntk1)],
title)
ntkmassplot.colors = [ROOT.kOrange+8,
ROOT.kGreen+3, ROOT.kGreen+1,
ROOT.kGreen, ROOT.kGreen-10,
ROOT.kYellow-3, ROOT.kYellow-5]
ntkmassplot.ratiorange = (0,3.0)
ntkmassplot.ratiotitle = "Ratio wrt Sum"
ntkmassplot.tag = 'm_{t} = 172.5 GeV'
ntkmassplot.subtag = '%s, %s' %(pairing, seltag)
ntkmassplot.show("ntkscan_%s"%tag, opt.outDir)
ntkmassplot.reset()
#fractions
for tag,sel,seltag in SELECTIONS:
print 70*'-'
print '%-10s: %s %s' % (tag, sel,seltag)
if not('inclusive' in tag): continue
fcor, fwro, funm = {}, {}, {}
for mass,proc in sorted(massfiles.keys()):
# mass = 172.5
ncount={}
for comb in ['tot','cor','wro','unm']:
hist = masshistos[(tag,proc, mass,comb)]
ncount[comb]=hist.Integral()
fcor[mass] = 100.*(ncount['cor']/float(ncount['tot']))
fwro[mass] = 100.*(ncount['wro']/float(ncount['tot']))
funm[mass] = 100.*(ncount['unm']/float(ncount['tot']))
print (' %-6s %5.1f GeV: %7d entries \t'
'(%4.1f%% corr, %4.1f%% wrong, %4.1f%% unmatched)' %
(proc, mass, ncount['tot'],
fcor[mass], fwro[mass], funm[mass]))
oname = os.path.join(opt.outDir, 'fracvsmt_%s'%tag)
plotFracVsTopMass(fcor, fwro, funm, tag, seltag, oname)
return 0
def main(args, opt):
os.system('mkdir -p %s'%opt.outDir)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
# Construct histograms
peInputFile = ROOT.TFile.Open(args[0], 'READ')
masshistos = {}
for mass in ALLMASSES+['data']:
masshist = None
masstag = mass
if type(mass) == float:
masstag = 'nominal_'+str(mass).replace('.','v')
for trk,_ in NTRKBINS:
ihist = peInputFile.Get('%s/SVLMass_inclusive_optmrank_%s_%d'%(masstag,masstag,trk))
try:
masshist.Add(ihist)
except AttributeError:
try:
masshist = ihist.Clone(masstag)
except ReferenceError:
print "Histogram not found: %s/SVLMass_inclusive_optmrank_%s_%d"%(masstag,masstag,trk)
continue
masshistos[mass] = masshist
ratplot = RatioPlot('ratioplot')
ratplot.normalized = False
ratplot.ratiotitle = "Ratio wrt 172.5 GeV"
ratplot.tag = 'All channels combined'
ratplot.extratext = 'Preliminary'
ratplot.rebin = 1
ratplot.legpos = (0.55, 0.15)
ratplot.ratiorange = (0.5, 1.5)
ratplot.reference = [masshistos[172.5]]
# Construct dummy data for now
dummy = masshistos[172.5].Clone('dummy_data')
dummy.Reset('ICE')
dummy.FillRandom(masshistos[173.5], ROOT.gRandom.Poisson(masshistos[172.5].Integral()))
ratplot.add(dummy,'Pseudo Data (@173.5 GeV)')
####################################################
# REAL DATA:
# ratplot.add(masshistos['data'], 'Data')
####################################################
for mass in MASSESTOPLOT:
legentry = 'MC (m_{top} = %5.1f GeV)' % mass
try:
histo = masshistos[mass]
ratplot.add(histo, legentry, includeInRatio=(mass != 172.5))
except KeyError: pass
ratplot.colors = [ROOT.kBlack, ROOT.kAzure-4, ROOT.kAzure+1, ROOT.kAzure-6]
# ratplot.colors = [ROOT.kBlack, ROOT.kOrange-4, ROOT.kOrange-3, ROOT.kOrange+9]
ratplot.drawoptions = ['PE', 'hist', 'hist', 'hist']
ratplot.markerstyles = [20,1,1,1]
ratplot.markersizes = [1.5,1,1,1]
ratplot.show("massscan_paper_optmrank", opt.outDir)
return 0
