def measureFractions(dist) :
before = next(self.orgMelded.indicesOfStep("label","selection complete"))
distTup = self.orgMelded.steps[next(iter(filter(lambda i: before<i, self.orgMelded.indicesOfStepsWithKey(dist))))][dist]
#distTup = self.orgMelded.steps[next(self.orgMelded.indicesOfStepsWithKey(dist))][dist]
templateSamples = ['top.t#bar{t}','top.w_jets','QCD.Data 2011']
templates = [None] * len(templateSamples)
for ss,hist in zip(self.orgMelded.samples,distTup) :
contents = [hist.GetBinContent(i) for i in range(hist.GetNbinsX()+2)]
if ss['name'] == "top.Data 2011" :
observed = contents
nEventsObserved = sum(observed)
elif ss['name'] in templateSamples :
templates[templateSamples.index(ss['name'])] = contents
else : pass
from core.fractions import componentSolver,drawComponentSolver
cs = componentSolver(observed, templates, 1e4)
csCanvas = drawComponentSolver(cs)
name = "measuredFractions_%s"%dist
utils.tCanvasPrintPdf(csCanvas[0], "%s/%s"%(self.globalStem,name))
with open(self.globalStem+"/%s.txt"%name,"w") as file :
print >> file, cs
print >> file, cs.components
return distTup,cs
def measureQQbarComponent(self) :
dist = "DiscriminantTopQqQg"
dists = dict(zip([ss['name'] for ss in self.orgMelded.samples ],
self.orgMelded.steps[next(self.orgMelded.indicesOfStepsWithKey(dist))][dist] ) )
def contents(name) : return np.array([dists[name].GetBinContent(i) for i in range(dists[name].GetNbinsX()+2)])
from core.fractions import componentSolver, drawComponentSolver
cs = componentSolver(observed = contents('top.Data 2011'),
components = [ contents('top.tt_tauola_fj.wTopAsymP00.tw.nvr'), contents('top.tt_tauola_fj.wNonQQbar.tw.nvr')],
ensembleSize = 1e4,
base = contents('top.w_jets') + contents('QCD.Data 2011')
)
csCanvas = drawComponentSolver(cs)
utils.tCanvasPrintPdf(csCanvas[0], "%s/measuredQQFractions"%self.globalStem)
with open(self.globalStem+"/measuredQQFractions.txt","w") as file : print >> file, cs
def meldNorm(self) :
meldSamples = {"top_muon_pf" : ["SingleMu","P00","NonQQbar","w_jets"],
#"Wlv_muon_pf" : ["w_jets"],
"QCD_muon_pf" : ["SingleMu"]}
organizers = [organizer.organizer(tag, [s for s in self.sampleSpecs(tag) if any(item in s['name'] for item in meldSamples[tag])])
for tag in [p['tag'] for p in self.readyConfs if p["tag"] in meldSamples]]
if not organizers : return
for org in organizers :
org.mergeSamples(targetSpec = {"name":"t#bar{t}", "color":r.kViolet}, sources=["tt_tauola_fj.wNonQQbar.nvr","tt_tauola_fj.wTopAsymP00.nvr"])
org.mergeSamples(targetSpec = {"name":"w_jets", "color":r.kRed}, allWithPrefix = "w_jets")
org.mergeSamples(targetSpec = {"name":"Data 2011",
"color":r.kBlue if "qcd_" in org.tag else r.kBlack,
"markerStyle":(20 if "top" in org.tag else 1)}, allWithPrefix="SingleMu")
if True :
templates = []
dist = "TriDiscriminant"
for org in organizers :
before = next(org.indicesOfStep("label","selection complete"))
distTup = org.steps[next(iter(filter(lambda i: before<i, org.indicesOfStepsWithKey(dist))))][dist]
for ss,hist in zip(org.samples,distTup) :
contents = [hist.GetBinContent(i) for i in range(hist.GetNbinsX()+2)]
if "top" in org.tag and ss["name"] is "Data 2011": signal = contents
else : templates.append(contents)
print org.tag, ss["name"]
from core import fractions
cs = fractions.componentSolver(signal, templates, 1e4)
with open("measuredFractions.txt","w") as file : print >> file, cs
stuff = fractions.drawComponentSolver(cs)
stuff[0].Print("measuredFractions.eps")
for org in organizers : org.scale(toPdf=True)
melded = organizer.organizer.meld(organizers = organizers)
pl = plotter.plotter(melded, psFileName = self.psFileName(melded.tag),
doLog = False, blackList = ["lumiHisto","xsHisto","nJobsHisto"] ).plotAll()
