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 main(args, options):
os.system('mkdir -p %s'%options.outDir)
try:
treefiles = {} # procname -> filename
for filename in os.listdir(args[0]):
if not os.path.splitext(filename)[1] == '.root': continue
procname = filename.split('_',1)[1][:-5]
treefiles[procname] = os.path.join(args[0],filename)
except OSError:
print "Not a valid input directory: %s" % args[0]
return -1
except IndexError:
print "Need to provide an input directory"
return -1
## Collect all the trees
svltrees = {} # proc -> tree
for proc in treefiles.keys():
tfile = ROOT.TFile.Open(treefiles[proc], 'READ')
if not filterUseless(treefiles[proc]): continue
svltrees[proc] = tfile.Get(TREENAME)
## Produce all the relevant histograms
if not options.cached:
masshistos = {} # (selection tag, process) -> histo
methistos = {} # (selection tag, process) -> histo
fittertkhistos = {} # (selection tag, process) -> [h_ntk1, h_ntk2, ...]
for tag,sel,_ in SELECTIONS:
for proc, tree in svltrees.iteritems():
if not filterUseless(treefiles[proc], sel): continue
htag = ("%s_%s"%(tag, proc)).replace('.','')
print ' ... processing %-30s %s htag=%s' % (proc, sel, htag)
masshistos[(tag, proc)] = getHistoFromTree(tree, sel=sel,
var='SVLMass',
hname="SVLMass_%s"%(htag),
titlex=MASSXAXISTITLE)
methistos[(tag, proc)] = getHistoFromTree(tree, sel=sel,
var='MET',
hname="MET_%s"%(htag),
xmin=0,xmax=200,
titlex="Missing E_{T} [GeV]")
fittertkhistos[(tag,proc)] = getNTrkHistos(tree, sel=sel,
tag=htag,
var='SVLMass',
titlex=MASSXAXISTITLE)
cachefile = open(".svlqcdmasshistos.pck", 'w')
pickle.dump(masshistos, cachefile, pickle.HIGHEST_PROTOCOL)
pickle.dump(methistos, cachefile, pickle.HIGHEST_PROTOCOL)
pickle.dump(fittertkhistos, cachefile, pickle.HIGHEST_PROTOCOL)
cachefile.close()
else:
cachefile = open(".svlqcdmasshistos.pck", 'r')
masshistos = pickle.load(cachefile)
methistos = pickle.load(cachefile)
fittertkhistos = pickle.load(cachefile)
cachefile.close()
#########################################################
## Write out the histograms, make data/mc plots
outputFileName = os.path.join(options.outDir,'qcd_DataMCHists.root')
ofi = ROOT.TFile(outputFileName, 'recreate')
ofi.cd()
for hist in [h for h in masshistos.values() + methistos.values()]:
hist.Write(hist.GetName())
for hist in [h for hists in fittertkhistos.values() for h in hists]:
hist.Write(hist.GetName())
ofi.Write()
ofi.Close()
## Run the plotter to get scaled MET plots
## Can then use those to subtract non-QCD backgrounds from data template
## Overwrite some of the options
options.filter = 'SVLMass,MET' ## only run SVLMass and MET plots
# options.excludeProcesses = 'QCD'
options.outFile = 'scaled_met_inputs.root'
options.cutUnderOverFlow = True
os.system('rm %s' % os.path.join(options.outDir, options.outFile))
runPlotter(outputFileName, options)
#########################################################
## Build the actual templates from the single histograms
templates = {} # selection tag -> template histo
inputfile = openTFile(os.path.join(options.outDir, options.outFile))
for tag,sel,_ in SELECTIONS:
categories = ['MET', 'SVLMass']
for x,_ in NTRKBINS:
categories.append('SVLMass_tot_%d'%int(x))
for category in categories:
plotdirname = '%s_%s'%(category,tag)
plotdir = inputfile.Get(plotdirname)
h_bg = None
h_data = None
for tkey in plotdir.GetListOfKeys():
key = tkey.GetName()
if key.startswith('Graph_from'): continue
if key.startswith('MC8TeV_QCD'): continue
hist = inputfile.Get('%s/%s'%(plotdirname,key))
if key.startswith('MC8TeV'):
if not h_bg:
h_bg = hist.Clone("%s_BGs" % tag)
else:
h_bg.Add(hist)
if key.startswith('Data8TeV'):
h_data = hist.Clone("%s_Data" % tag)
## Determine a suitable output name
histname = '%s_template'%tag
if category == 'MET': histname = "%s_%s" % ('met',histname)
if 'tot' in category:
tkbin = int(category.split('_')[2])
histname = "%s_%d" % (histname, tkbin)
h_data_subtr = h_data.Clone(histname)
## Now subtract the combined MC from the data
h_data_subtr.Add(h_bg, -1)
dicttag = tag
if category == 'MET':
dicttag = 'met_%s'%tag
if '_tot_' in category:
dicttag = '%s_%d' % (tag, tkbin)
templates[dicttag] = h_data_subtr
ofi = ROOT.TFile(os.path.join(options.outDir,'qcd_templates.root'),
'recreate')
ofi.cd()
for hist in templates.values(): hist.Write(hist.GetName())
ofi.Write()
ofi.Close()
for key,hist in sorted(templates.iteritems()):
print key
#########################################################
## Make a plot comparing the templates
for tag,_,seltag in SELECTIONS:
if not tag.endswith('_qcd'): continue
templateplot = RatioPlot('qcdtemplates_%s'%tag)
for key,hist in sorted(templates.iteritems()):
if not tag in key: continue
if key.startswith('met'): continue
if key == tag:
templateplot.add(hist, 'Inclusive')
templateplot.reference = hist
else:
ntrkbin = int(key.rsplit('_',1)[1])
templateplot.add(hist, 'N_{track} = %d'%ntrkbin)
templateplot.tag = 'QCD templates'
templateplot.subtag = seltag
templateplot.tagpos = (0.90, 0.85)
templateplot.subtagpos = (0.90, 0.78)
templateplot.legpos = (0.75, 0.25)
templateplot.ratiotitle = 'Ratio wrt Inclusive'
templateplot.extratext = '' #Work in Progress'
templateplot.ratiorange = (0.2, 2.2)
templateplot.colors = [ROOT.kBlack, ROOT.kBlue-8, ROOT.kAzure-2,
ROOT.kCyan-3]
templateplot.show("qcdtemplates_%s"%tag, options.outDir)
templateplot.reset()
return 0
def main(args, options):
os.system('mkdir -p %s' % options.outDir)
try:
treefiles = {} # procname -> filename
for filename in os.listdir(args[0]):
if not os.path.splitext(filename)[1] == '.root': continue
procname = filename.split('_', 1)[1][:-5]
treefiles[procname] = os.path.join(args[0], filename)
except OSError:
print "Not a valid input directory: %s" % args[0]
return -1
except IndexError:
print "Need to provide an input directory"
return -1
## Collect all the trees
svltrees = {} # proc -> tree
for proc in treefiles.keys():
tfile = ROOT.TFile.Open(treefiles[proc], 'READ')
if not filterUseless(treefiles[proc]): continue
svltrees[proc] = tfile.Get(TREENAME)
## Produce all the relevant histograms
if not options.cached:
masshistos = {} # (selection tag, process) -> histo
methistos = {} # (selection tag, process) -> histo
fittertkhistos = {
} # (selection tag, process) -> [h_ntk1, h_ntk2, ...]
for tag, sel, _ in SELECTIONS:
for proc, tree in svltrees.iteritems():
if not filterUseless(treefiles[proc], sel): continue
htag = ("%s_%s" % (tag, proc)).replace('.', '')
print ' ... processing %-30s %s htag=%s' % (proc, sel, htag)
masshistos[(tag, proc)] = getHistoFromTree(
tree,
sel=sel,
var='SVLMass',
hname="SVLMass_%s" % (htag),
titlex=MASSXAXISTITLE)
methistos[(tag, proc)] = getHistoFromTree(
tree,
sel=sel,
var='MET',
hname="MET_%s" % (htag),
xmin=0,
xmax=200,
titlex="Missing E_{T} [GeV]")
fittertkhistos[(tag,
proc)] = getNTrkHistos(tree,
sel=sel,
tag=htag,
var='SVLMass',
titlex=MASSXAXISTITLE)
cachefile = open(".svlqcdmasshistos.pck", 'w')
pickle.dump(masshistos, cachefile, pickle.HIGHEST_PROTOCOL)
pickle.dump(methistos, cachefile, pickle.HIGHEST_PROTOCOL)
pickle.dump(fittertkhistos, cachefile, pickle.HIGHEST_PROTOCOL)
cachefile.close()
else:
cachefile = open(".svlqcdmasshistos.pck", 'r')
masshistos = pickle.load(cachefile)
methistos = pickle.load(cachefile)
fittertkhistos = pickle.load(cachefile)
cachefile.close()
#########################################################
## Write out the histograms, make data/mc plots
outputFileName = os.path.join(options.outDir, 'qcd_DataMCHists.root')
ofi = ROOT.TFile(outputFileName, 'recreate')
ofi.cd()
for hist in [h for h in masshistos.values() + methistos.values()]:
hist.Write(hist.GetName())
for hist in [h for hists in fittertkhistos.values() for h in hists]:
hist.Write(hist.GetName())
ofi.Write()
ofi.Close()
## Run the plotter to get scaled MET plots
## Can then use those to subtract non-QCD backgrounds from data template
## Overwrite some of the options
options.filter = 'SVLMass,MET' ## only run SVLMass and MET plots
# options.excludeProcesses = 'QCD'
options.outFile = 'scaled_met_inputs.root'
options.cutUnderOverFlow = True
os.system('rm %s' % os.path.join(options.outDir, options.outFile))
runPlotter(outputFileName, options)
#########################################################
## Build the actual templates from the single histograms
templates = {} # selection tag -> template histo
inputfile = openTFile(os.path.join(options.outDir, options.outFile))
for tag, sel, _ in SELECTIONS:
categories = ['MET', 'SVLMass']
for x, _ in NTRKBINS:
categories.append('SVLMass_tot_%d' % int(x))
for category in categories:
plotdirname = '%s_%s' % (category, tag)
plotdir = inputfile.Get(plotdirname)
h_bg = None
h_data = None
for tkey in plotdir.GetListOfKeys():
key = tkey.GetName()
if key.startswith('Graph_from'): continue
if key.startswith('MC8TeV_QCD'): continue
hist = inputfile.Get('%s/%s' % (plotdirname, key))
if key.startswith('MC8TeV'):
if not h_bg:
h_bg = hist.Clone("%s_BGs" % tag)
else:
h_bg.Add(hist)
if key.startswith('Data8TeV'):
h_data = hist.Clone("%s_Data" % tag)
## Determine a suitable output name
histname = '%s_template' % tag
if category == 'MET': histname = "%s_%s" % ('met', histname)
if 'tot' in category:
tkbin = int(category.split('_')[2])
histname = "%s_%d" % (histname, tkbin)
h_data_subtr = h_data.Clone(histname)
## Now subtract the combined MC from the data
h_data_subtr.Add(h_bg, -1)
dicttag = tag
if category == 'MET':
dicttag = 'met_%s' % tag
if '_tot_' in category:
dicttag = '%s_%d' % (tag, tkbin)
templates[dicttag] = h_data_subtr
ofi = ROOT.TFile(os.path.join(options.outDir, 'qcd_templates.root'),
'recreate')
ofi.cd()
for hist in templates.values():
hist.Write(hist.GetName())
ofi.Write()
ofi.Close()
for key, hist in sorted(templates.iteritems()):
print key
#########################################################
## Make a plot comparing the templates
for tag, _, seltag in SELECTIONS:
if not tag.endswith('_qcd'): continue
templateplot = RatioPlot('qcdtemplates_%s' % tag)
for key, hist in sorted(templates.iteritems()):
if not tag in key: continue
if key.startswith('met'): continue
if key == tag:
templateplot.add(hist, 'Inclusive')
templateplot.reference = hist
else:
ntrkbin = int(key.rsplit('_', 1)[1])
templateplot.add(hist, 'N_{track} = %d' % ntrkbin)
templateplot.tag = 'QCD templates'
templateplot.subtag = seltag
templateplot.tagpos = (0.90, 0.85)
templateplot.subtagpos = (0.90, 0.78)
templateplot.legpos = (0.75, 0.25)
templateplot.ratiotitle = 'Ratio wrt Inclusive'
templateplot.extratext = '' #Work in Progress'
templateplot.ratiorange = (0.2, 2.2)
templateplot.colors = [
ROOT.kBlack, ROOT.kBlue - 8, ROOT.kAzure - 2, ROOT.kCyan - 3
]
templateplot.show("qcdtemplates_%s" % tag, options.outDir)
templateplot.reset()
return 0
def main(args, opt):
os.system('mkdir -p %s' % opt.outDir)
systfiles = {} # procname -> filename
try:
for fname in os.listdir(os.path.join(args[0], 'syst')):
if not os.path.splitext(fname)[1] == '.root': continue
for syst, _, systfile, _ in SYSTSFROMFILES:
if fname in systfile:
systfiles[syst] = [os.path.join(args[0], 'syst', fname)]
# Get the split nominal files
systfiles['nominal'] = []
for fname in os.listdir(os.path.join(args[0], 'Chunks')):
if not os.path.splitext(fname)[1] == '.root': continue
isdata, procname, splitno = resolveFilename(fname)
if not procname == 'TTJets_MSDecays_172v5': continue
if not splitno: continue # file is split
systfiles['nominal'].append(os.path.join(args[0], 'Chunks', fname))
if len(systfiles['nominal']) < 20:
print "ERROR >>> Missing files for split nominal sample?"
return -1
except IndexError:
print "Please provide a valid input directory"
exit(-1)
hname_to_keys = {} # hname -> (tag, syst, comb)
tasklist = {} # treefile -> tasklist
for fsyst in systfiles.keys():
if not fsyst in tasklist: tasklist[fsyst] = []
for tag, sel, _ in SELECTIONS:
if fsyst == 'nominal':
for syst, _, weight, combs in SYSTSFROMWEIGHTS:
tasks = makeSystTask(tag,
sel,
syst,
hname_to_keys,
weight=weight,
combs=combs)
tasklist[fsyst] += tasks
tasks = []
for comb, combsel in COMBINATIONS.iteritems():
for var, nbins, xmin, xmax, titlex in CONTROLVARS:
hname = "%s_%s_%s" % (var, comb, tag)
finalsel = "%s*(%s&&%s)" % (COMMONWEIGHT, sel, combsel)
tasks.append(
(hname, var, finalsel, nbins, xmin, xmax, titlex))
hname_to_keys[hname] = (tag, var, comb)
tasklist[fsyst] += tasks
tasks = []
for name, nus in [('nu', 1), ('nonu', 0), ('nuunm', -1)]:
hname = "SVLMass_%s_%s_%s" % ('tot', tag, name)
finalsel = "%s*(%s&&BHadNeutrino==%d)" % (COMMONWEIGHT,
sel, nus)
tasks.append((hname, 'SVLMass', finalsel, NBINS, XMIN,
XMAX, MASSXAXISTITLE))
hname_to_keys[hname] = (tag, name, 'tot')
tasklist[fsyst] += tasks
else:
tasks = makeSystTask(tag, sel, fsyst, hname_to_keys)
tasklist[fsyst] += tasks
if not opt.cache:
# print ' Will process the following tasks:'
# for filename,tasks in sorted(tasklist.iteritems()):
# print filename
# for task in tasks:
# print task
# raw_input("Press any key to continue...")
runTasks(systfiles, tasklist, opt, 'syst_histos')
systhistos = {} # (tag, syst, comb) -> histo
systhistos = gatherHistosFromFiles(
tasklist, systfiles, os.path.join(opt.outDir, 'syst_histos'),
hname_to_keys)
cachefile = open(".svlsysthistos.pck", 'w')
pickle.dump(systhistos, cachefile, pickle.HIGHEST_PROTOCOL)
cachefile.close()
# print "Wrote syst histos to cache file"
# raw_input("press key")
cachefile = open(".svlsysthistos.pck", 'r')
systhistos = pickle.load(cachefile)
print '>>> Read syst histos from cache (.svlsysthistos.pck)'
cachefile.close()
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
for var, _, _, _, _ in CONTROLVARS:
for sel, tag in [
#('inclusive', 'Fully Inclusive'),
#('inclusive_mrank1', 'Mass ranked, leading p_{T}'),
#('inclusive_mrank1dr', 'Mass ranked, #DeltaR<2, leading p_{T}'),
#('inclusive_drrank1dr', '#DeltaR ranked, #DeltaR<2, leading p_{T}'),
('inclusive_optmrank', 'Optimized mass rank')
]:
try:
makeControlPlot(systhistos, var, sel, tag, opt)
except KeyError:
print 'control plots for %s selection not found' % sel
for tag, _, _ in SELECTIONS:
if not 'inclusive' in tag: continue
print "... processing %s" % tag
# Make plot of mass with and without neutrino:
# for comb in COMBINATIONS.keys():
# plot = RatioPlot('neutrino_%s'%tag)
# plot.rebin = 2
# plot.add(systhistos[(tag,'nonu', 'tot')], 'Without neutrino')
# plot.add(systhistos[(tag,'nu', 'tot')], 'With neutrino')
# plot.add(systhistos[(tag,'nuunm','tot')], 'Unmatched')
# plot.reference = systhistos[(tag,'nominal','tot')]
# plot.tag = "Mass shape with and without neutrinos"
# plot.subtag = SELNAMES[tag] + COMBNAMES['tot']
# plot.ratiotitle = 'Ratio wrt Total'
# plot.ratiorange = (0.7, 1.3)
# plot.colors = [ROOT.kBlue-3, ROOT.kRed-4, ROOT.kOrange-3]
# plot.show("neutrino_%s_%s"%(tag,'tot'),
# os.path.join(opt.outDir, 'syst_plots'))
# plot.reset()
for name, title, systs, colors, comb in SYSTPLOTS:
print name, title, systs, colors, comb
plot = RatioPlot('%s_%s' % (name, comb))
plot.rebin = 2
for syst in systs:
try:
plot.add(systhistos[(tag, syst, comb)], SYSTNAMES[syst])
except:
print 'failed to add', (tag, syst, comb), syst
plot.tag = title
subtag = SELNAMES[tag] + COMBNAMES[comb]
plot.subtag = subtag
plot.ratiotitle = 'Ratio wrt %s' % SYSTNAMES[systs[0]]
plot.ratiorange = (0.85, 1.15)
plot.colors = colors
filename = "%s_%s" % (name, tag)
if comb != 'tot': filename += '_%s' % comb
plot.show(filename, os.path.join(opt.outDir, 'syst_plots'))
plot.reset()
# Make top pt plot with both correct and wrong
plot = RatioPlot('toppt_paper_cor_wro')
plot.canvassize = (600, 600)
plot.tag = 'Top quark p_{T} mismodeling'
plot.rebin = 2
plot.subtag = 'Inclusive channels'
plot.tagpos = (0.92, 0.85)
plot.subtagpos = (0.92, 0.78)
plot.titlex = 'm_{svl} [GeV]'
plot.ratiotitle = '1 / Nominal'
# plot.ratiorange = (0.85, 1.15)
plot.ratiorange = (0.92, 1.08)
plot.legpos = (0.55, 0.38)
plot.ratioydivisions = 405
plot.colors = [
ROOT.kGreen + 2, ROOT.kGreen - 6, ROOT.kRed + 2, ROOT.kRed - 6
]
plot.add(systhistos[(tag, 'nominal', 'cor')],
'Nominal (correct)',
includeInRatio=False)
plot.add(systhistos[(tag, 'toppt', 'cor')],
'p_{T} weighted (correct)',
includeInRatio=True)
plot.add(systhistos[(tag, 'nominal', 'wro')],
'Nominal (wrong)',
includeInRatio=False)
plot.add(systhistos[(tag, 'toppt', 'wro')],
'p_{T} weighted (wrong)',
includeInRatio=True)
plot.reference = [
systhistos[(tag, 'nominal', 'cor')],
systhistos[(tag, 'nominal', 'wro')]
]
plot.show('toppt_cor_wro_forpaper_%s' % tag,
os.path.join(opt.outDir, 'syst_plots'))
plot.reset()
# Make b fragmentation plot for paper
plot = RatioPlot('bfrag_paper')
plot.canvassize = (600, 600)
plot.tag = 'b fragmentation'
plot.titlex = 'm_{svl} [GeV]'
plot.rebin = 2
plot.subtag = 'Inclusive channels'
plot.tagpos = (0.92, 0.85)
plot.subtagpos = (0.92, 0.78)
plot.ratiotitle = '1 / Z2* #it{r}_{b} LEP'
# plot.ratiorange = (0.85, 1.15)
plot.ratiorange = (0.92, 1.08)
plot.legpos = (0.65, 0.20)
plot.ratioydivisions = 405
plot.colors = [
ROOT.kMagenta, ROOT.kMagenta + 2, ROOT.kMagenta - 9,
ROOT.kAzure + 7
]
plot.add(systhistos[(tag, 'nominal', 'tot')],
'Z2* #it{r}_{b} LEP',
includeInRatio=False)
plot.add(systhistos[(tag, 'bfragdn', 'tot')],
'Z2* #it{r}_{b} LEP soft')
plot.add(systhistos[(tag, 'bfragup', 'tot')],
'Z2* #it{r}_{b} LEP hard')
plot.add(systhistos[(tag, 'bfragz2s', 'tot')], 'Z2* nominal')
plot.reference = [systhistos[(tag, 'nominal', 'tot')]]
plot.show('bfrag_paper_%s' % tag, os.path.join(opt.outDir,
'syst_plots'))
plot.reset()
# for tag,sel,seltag in SELECTIONS:
# print 70*'-'
# print '%-10s: %s' % (tag, sel)
# fcor, fwro, funm = {}, {}, {}
# for mass in sorted(massfiles.keys()):
# # mass = 172.5
# hists = masshistos[(tag, mass)]
# n_tot, n_cor, n_wro, n_unm = (x.GetEntries() for x in hists)
# fcor[mass] = 100.*(n_cor/float(n_tot))
# fwro[mass] = 100.*(n_wro/float(n_tot))
# funm[mass] = 100.*(n_unm/float(n_tot))
# print (' %5.1f GeV: %7d entries \t'
# '(%4.1f%% corr, %4.1f%% wrong, %4.1f%% unmatched)' %
# (mass, n_tot, fcor[mass], fwro[mass], funm[mass]))
# oname = os.path.join(opt.outDir, 'fracvsmt_%s'%tag)
# plotFracVsTopMass(fcor, fwro, funm, tag, seltag, oname)
# print 112*'-'
# print 'Estimated systematics (from a crude chi2 fit)'
# print '%20s | %-15s | %-15s | %-15s | %-15s | %-15s' % (
# 'selection', 'bfrag', 'scale',
# 'toppt', 'matching', 'uecr')
# for tag,_,_ in SELECTIONS:
# sys.stdout.write("%20s | " % tag)
# for syst in ['bfrag', 'scale', 'toppt', 'matching', 'uecr']:
# err, chi2 = systematics[(tag,syst)]
# sys.stdout.write('%4.1f (%4.1f GeV)' % (chi2*1e5, err))
# # sys.stdout.write('%4.1f (%4.1f GeV)' % (chi2, err))
# sys.stdout.write(' | ')
# sys.stdout.write('\n')
# print 112*'-'
return 0
def main(args, opt):
os.system('mkdir -p %s'%opt.outDir)
systfiles = {} # procname -> filename
try:
for fname in os.listdir(os.path.join(args[0],'syst')):
if not os.path.splitext(fname)[1] == '.root': continue
for syst,_,systfile,_ in SYSTSFROMFILES:
if fname in systfile:
systfiles[syst] = [os.path.join(args[0], 'syst', fname)]
# Get the split nominal files
systfiles['nominal'] = []
for fname in os.listdir(os.path.join(args[0],'Chunks')):
if not os.path.splitext(fname)[1] == '.root': continue
isdata,procname,splitno = resolveFilename(fname)
if not procname == 'TTJets_MSDecays_172v5': continue
if not splitno: continue # file is split
systfiles['nominal'].append(os.path.join(args[0],'Chunks',fname))
if len(systfiles['nominal']) < 20:
print "ERROR >>> Missing files for split nominal sample?"
return -1
except IndexError:
print "Please provide a valid input directory"
exit(-1)
hname_to_keys = {} # hname -> (tag, syst, comb)
tasklist = {} # treefile -> tasklist
for fsyst in systfiles.keys():
if not fsyst in tasklist: tasklist[fsyst] = []
for tag,sel,_ in SELECTIONS:
if fsyst == 'nominal':
for syst,_,weight,combs in SYSTSFROMWEIGHTS:
tasks = makeSystTask(tag, sel, syst,
hname_to_keys, weight=weight,
combs=combs)
tasklist[fsyst] += tasks
tasks = []
for comb,combsel in COMBINATIONS.iteritems():
for var,nbins,xmin,xmax,titlex in CONTROLVARS:
hname = "%s_%s_%s" % (var, comb, tag)
finalsel = "%s*(%s&&%s)"%(COMMONWEIGHT, sel, combsel)
tasks.append((hname, var, finalsel,
nbins, xmin, xmax, titlex))
hname_to_keys[hname] = (tag, var, comb)
tasklist[fsyst] += tasks
tasks = []
for name, nus in [('nu', 1), ('nonu', 0), ('nuunm', -1)]:
hname = "SVLMass_%s_%s_%s" % ('tot', tag, name)
finalsel = "%s*(%s&&BHadNeutrino==%d)"%(
COMMONWEIGHT, sel, nus)
tasks.append((hname, 'SVLMass', finalsel,
NBINS, XMIN, XMAX, MASSXAXISTITLE))
hname_to_keys[hname] = (tag, name, 'tot')
tasklist[fsyst] += tasks
else:
tasks = makeSystTask(tag, sel, fsyst, hname_to_keys)
tasklist[fsyst] += tasks
if not opt.cache:
# print ' Will process the following tasks:'
# for filename,tasks in sorted(tasklist.iteritems()):
# print filename
# for task in tasks:
# print task
# raw_input("Press any key to continue...")
runTasks(systfiles, tasklist, opt, 'syst_histos')
systhistos = {} # (tag, syst, comb) -> histo
systhistos = gatherHistosFromFiles(tasklist, systfiles,
os.path.join(opt.outDir, 'syst_histos'),
hname_to_keys)
cachefile = open(".svlsysthistos.pck", 'w')
pickle.dump(systhistos, cachefile, pickle.HIGHEST_PROTOCOL)
cachefile.close()
# print "Wrote syst histos to cache file"
# raw_input("press key")
cachefile = open(".svlsysthistos.pck", 'r')
systhistos = pickle.load(cachefile)
print '>>> Read syst histos from cache (.svlsysthistos.pck)'
cachefile.close()
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(1)
for var,_,_,_,_ in CONTROLVARS:
for sel,tag in [
#('inclusive', 'Fully Inclusive'),
#('inclusive_mrank1', 'Mass ranked, leading p_{T}'),
#('inclusive_mrank1dr', 'Mass ranked, #DeltaR<2, leading p_{T}'),
#('inclusive_drrank1dr', '#DeltaR ranked, #DeltaR<2, leading p_{T}'),
('inclusive_optmrank', 'Optimized mass rank')]:
try: makeControlPlot(systhistos, var, sel, tag, opt)
except KeyError:
print 'control plots for %s selection not found' % sel
for tag,_,_ in SELECTIONS:
if not 'inclusive' in tag : continue
print "... processing %s"%tag
# Make plot of mass with and without neutrino:
# for comb in COMBINATIONS.keys():
# plot = RatioPlot('neutrino_%s'%tag)
# plot.rebin = 2
# plot.add(systhistos[(tag,'nonu', 'tot')], 'Without neutrino')
# plot.add(systhistos[(tag,'nu', 'tot')], 'With neutrino')
# plot.add(systhistos[(tag,'nuunm','tot')], 'Unmatched')
# plot.reference = systhistos[(tag,'nominal','tot')]
# plot.tag = "Mass shape with and without neutrinos"
# plot.subtag = SELNAMES[tag] + COMBNAMES['tot']
# plot.ratiotitle = 'Ratio wrt Total'
# plot.ratiorange = (0.7, 1.3)
# plot.colors = [ROOT.kBlue-3, ROOT.kRed-4, ROOT.kOrange-3]
# plot.show("neutrino_%s_%s"%(tag,'tot'),
# os.path.join(opt.outDir, 'syst_plots'))
# plot.reset()
for name, title, systs, colors, comb in SYSTPLOTS:
print name, title, systs, colors, comb
plot = RatioPlot('%s_%s'%(name,comb))
plot.rebin = 2
for syst in systs:
try:
plot.add(systhistos[(tag,syst,comb)], SYSTNAMES[syst])
except:
print 'failed to add',(tag,syst,comb),syst
plot.tag = title
subtag = SELNAMES[tag] + COMBNAMES[comb]
plot.subtag = subtag
plot.ratiotitle = 'Ratio wrt %s' % SYSTNAMES[systs[0]]
plot.ratiorange = (0.85, 1.15)
plot.colors = colors
filename = "%s_%s"%(name,tag)
if comb != 'tot': filename += '_%s'%comb
plot.show(filename, os.path.join(opt.outDir,'syst_plots'))
plot.reset()
# Make top pt plot with both correct and wrong
plot = RatioPlot('toppt_paper_cor_wro')
plot.canvassize = (600,600)
plot.tag = 'Top quark p_{T} mismodeling'
plot.rebin = 2
plot.subtag = 'Inclusive channels'
plot.tagpos = (0.92,0.85)
plot.subtagpos = (0.92,0.78)
plot.titlex = 'm_{svl} [GeV]'
plot.ratiotitle = '1 / Nominal'
# plot.ratiorange = (0.85, 1.15)
plot.ratiorange = (0.92, 1.08)
plot.legpos = (0.55, 0.38)
plot.ratioydivisions = 405
plot.colors = [ROOT.kGreen+2, ROOT.kGreen-6, ROOT.kRed+2, ROOT.kRed-6]
plot.add(systhistos[(tag,'nominal','cor')], 'Nominal (correct)', includeInRatio=False)
plot.add(systhistos[(tag,'toppt','cor')], 'p_{T} weighted (correct)', includeInRatio=True)
plot.add(systhistos[(tag,'nominal','wro')], 'Nominal (wrong)', includeInRatio=False)
plot.add(systhistos[(tag,'toppt','wro')], 'p_{T} weighted (wrong)', includeInRatio=True)
plot.reference = [systhistos[(tag,'nominal','cor')], systhistos[(tag,'nominal','wro')]]
plot.show('toppt_cor_wro_forpaper_%s'%tag, os.path.join(opt.outDir,'syst_plots'))
plot.reset()
# Make b fragmentation plot for paper
plot = RatioPlot('bfrag_paper')
plot.canvassize = (600,600)
plot.tag = 'b fragmentation'
plot.titlex = 'm_{svl} [GeV]'
plot.rebin = 2
plot.subtag = 'Inclusive channels'
plot.tagpos = (0.92,0.85)
plot.subtagpos = (0.92,0.78)
plot.ratiotitle = '1 / Z2* #it{r}_{b} LEP'
# plot.ratiorange = (0.85, 1.15)
plot.ratiorange = (0.92, 1.08)
plot.legpos = (0.65, 0.20)
plot.ratioydivisions = 405
plot.colors = [ROOT.kMagenta, ROOT.kMagenta+2, ROOT.kMagenta-9, ROOT.kAzure+7]
plot.add(systhistos[(tag,'nominal', 'tot')], 'Z2* #it{r}_{b} LEP', includeInRatio=False)
plot.add(systhistos[(tag,'bfragdn', 'tot')], 'Z2* #it{r}_{b} LEP soft')
plot.add(systhistos[(tag,'bfragup', 'tot')], 'Z2* #it{r}_{b} LEP hard')
plot.add(systhistos[(tag,'bfragz2s','tot')], 'Z2* nominal')
plot.reference = [systhistos[(tag,'nominal','tot')]]
plot.show('bfrag_paper_%s'%tag, os.path.join(opt.outDir,'syst_plots'))
plot.reset()
# for tag,sel,seltag in SELECTIONS:
# print 70*'-'
# print '%-10s: %s' % (tag, sel)
# fcor, fwro, funm = {}, {}, {}
# for mass in sorted(massfiles.keys()):
# # mass = 172.5
# hists = masshistos[(tag, mass)]
# n_tot, n_cor, n_wro, n_unm = (x.GetEntries() for x in hists)
# fcor[mass] = 100.*(n_cor/float(n_tot))
# fwro[mass] = 100.*(n_wro/float(n_tot))
# funm[mass] = 100.*(n_unm/float(n_tot))
# print (' %5.1f GeV: %7d entries \t'
# '(%4.1f%% corr, %4.1f%% wrong, %4.1f%% unmatched)' %
# (mass, n_tot, fcor[mass], fwro[mass], funm[mass]))
# oname = os.path.join(opt.outDir, 'fracvsmt_%s'%tag)
# plotFracVsTopMass(fcor, fwro, funm, tag, seltag, oname)
# print 112*'-'
# print 'Estimated systematics (from a crude chi2 fit)'
# print '%20s | %-15s | %-15s | %-15s | %-15s | %-15s' % (
# 'selection', 'bfrag', 'scale',
# 'toppt', 'matching', 'uecr')
# for tag,_,_ in SELECTIONS:
# sys.stdout.write("%20s | " % tag)
# for syst in ['bfrag', 'scale', 'toppt', 'matching', 'uecr']:
# err, chi2 = systematics[(tag,syst)]
# sys.stdout.write('%4.1f (%4.1f GeV)' % (chi2*1e5, err))
# # sys.stdout.write('%4.1f (%4.1f GeV)' % (chi2, err))
# sys.stdout.write(' | ')
# sys.stdout.write('\n')
# print 112*'-'
return 0