def plotEMaxCounts(self):
canvas = TCanvas('canvasEmaxcounts','E max counts',1200,1200)
canvas.cd().SetLogz()
hCounter = self.fileHandler.getHistogram('hoMuonAnalyzer/deltaEtaDeltaPhiEnergy/averageEMaxAroundPointL1MuonPresent_2dCounter')
#hSum = setupEAvplot(hSum, hCounter,same=True,limitForAll=0.3)
hCounter.SetTitle('# of E_{Max} in HO tiles around L1 direction;#Delta#eta;#Delta#phi;# Entries')
hCounter.SetStats(0)
hCounter.GetXaxis().SetRangeUser(-.5,.5)
hCounter.GetYaxis().SetRangeUser(-.5,.5)
hCounter.Draw('colz')
label = self.drawLabel()
canvas.Update()
setupPalette(hCounter)
canvas.Update()
#boxes = drawHoBoxes(canvas)
self.storeCanvas(canvas,'eMaxCounts')
#Calculate fraction in 3x3 grid
integralCentral = hCounter.Integral(hCounter.GetXaxis().FindBin(-.0435),hCounter.GetXaxis().FindBin(.0435),
hCounter.GetYaxis().FindBin(-.0435),hCounter.GetYaxis().FindBin(.0435))
integral3x3 = hCounter.Integral(hCounter.GetXaxis().FindBin(-.1305),hCounter.GetXaxis().FindBin(.1305),
hCounter.GetYaxis().FindBin(-.1305),hCounter.GetYaxis().FindBin(.1305))
integralTotal = hCounter.Integral()
self.output(80*'#')
self.output('%20s:%5.2f%% +/- %5.2f%%' % ('Central Fraction',calcPercent(integralCentral,integralTotal),
calcSigma(integralCentral,integralTotal)*100))
self.output('%20s:%5.2f%% +/- %5.2f%%' % ('3x3 Fraction',calcPercent(integral3x3,integralTotal),
calcSigma(integral3x3,integralTotal)*100))
self.output(80*'#')
return canvas,label,hCounter
def outputFractionsInTileGrid(self,hist):
#Calculate fraction in grids
integralCentral = hist.Integral(hist.GetXaxis().FindBin(-.0435),hist.GetXaxis().FindBin(.0435),
hist.GetYaxis().FindBin(-.0435),hist.GetYaxis().FindBin(.0435))
integral3x3 = hist.Integral(hist.GetXaxis().FindBin(-.1305),hist.GetXaxis().FindBin(.1305),
hist.GetYaxis().FindBin(-.1305),hist.GetYaxis().FindBin(.1305))
integral5x5 = hist.Integral(hist.GetXaxis().FindBin(-.2175),hist.GetXaxis().FindBin(.2175),
hist.GetYaxis().FindBin(-.2175),hist.GetYaxis().FindBin(.2175))
integralTotal = hist.Integral()
self.debug(80*'#')
self.debug('%20s:%5.2f%% +/- %5.2f%%' % ('Central Fraction',calcPercent(integralCentral,integralTotal),
calcSigma(integralCentral,integralTotal)*100))
self.debug('%20s:%5.2f%% +/- %5.2f%%' % ('3x3 Fraction',calcPercent(integral3x3,integralTotal),
calcSigma(integral3x3,integralTotal)*100))
self.debug('%20s:%5.2f%% +/- %5.2f%%' % ('5x5 Fraction',calcPercent(integral5x5,integralTotal),
calcSigma(integral5x5,integralTotal)*100))
self.debug(80*'#')
def outputFractionsInTileGrid(self,hist):
#Calculate fraction in grids
integralCentral = hist.Integral(hist.GetXaxis().FindBin(-.0435),hist.GetXaxis().FindBin(.0435),
hist.GetYaxis().FindBin(-.0435),hist.GetYaxis().FindBin(.0435))
integral3x3 = hist.Integral(hist.GetXaxis().FindBin(-.1305),hist.GetXaxis().FindBin(.1305),
hist.GetYaxis().FindBin(-.1305),hist.GetYaxis().FindBin(.1305))
integral5x5 = hist.Integral(hist.GetXaxis().FindBin(-.2175),hist.GetXaxis().FindBin(.2175),
hist.GetYaxis().FindBin(-.2175),hist.GetYaxis().FindBin(.2175))
integralTotal = hist.Integral()
self.debug(80*'#')
self.debug('%20s:%5.2f%% +/- %5.2f%%' % ('Central Fraction',calcPercent(integralCentral,integralTotal),
calcSigma(integralCentral,integralTotal)*100))
self.debug('%20s:%5.2f%% +/- %5.2f%%' % ('3x3 Fraction',calcPercent(integral3x3,integralTotal),
calcSigma(integral3x3,integralTotal)*100))
self.debug('%20s:%5.2f%% +/- %5.2f%%' % ('5x5 Fraction',calcPercent(integral5x5,integralTotal),
calcSigma(integral5x5,integralTotal)*100))
self.debug(80*'#')
def printFractionsPerIEta(self,graph):
self.output("Fractions of HO time in [-12.5,12.5] ns")
counterDict = [{'total':0,'inside':0, 'hist':TH1D('hist' + str(i-10),'',201,-100.5,100.5)} for i in range(0,21)]
x = Double(0)
y = Double(0)
nTotal = graph.GetN()
###
# Fill histograms for later calculation of mean
###
for i in range(0,nTotal):
graph.GetPoint(i,x,y)
indexHelper = int(x+10)
counterDict[indexHelper]['total'] += 1
counterDict[indexHelper]['hist'].Fill(y)
###
# Once all histograms are filled, calculate median
###
for index,item in enumerate(counterDict):
item['median'] = getMedian(item['hist'])
###
# Fill the number of objects in interval depending on the
# Histogram median
###
nDone = 0
if self.DEBUG:
self.debug('Filling interval counters')
for i in range(0,nTotal):
graph.GetPoint(i,x,y)
indexHelper = int(x+10)
median = counterDict[indexHelper]['median']
if( fabs(median - y) < 12.5 ):
counterDict[indexHelper]['inside'] += 1
nDone += 1
self.printProgress(nDone, nTotal)
#Graph for results
graph = TEfficiency(graph.GetName(),"",21,-10.5,10.5)
###
# Plot the results of calculations on CLI
###
for index,item in enumerate(counterDict):
if(index - 10 == 0):
continue
total = item['total']
inside = item['inside']
self.output("iEta: %3d\tTotal: %5d\tInside:%5d\tFraction:%6.2f +/- %6.2f" %
(index - 10, total, inside, calcPercent(inside,total),calcSigma(inside, total)*100))
graph.SetTotalEvents(graph.FindFixBin(index -10),total)
graph.SetPassedEvents(graph.FindFixBin(index -10),inside)
return graph,counterDict
def printFractionsForDtOnly(self):
allL1 = self.fileHandler.getHistogram('count/timingSupport__Count')
allTightL1 = self.fileHandler.getHistogram('count/timingSupport_tight__Count')
dtOnly = self.makeDtOnlyPlot(sourceDt='UnmatchedDt', sourceDtHo='UnmatchedDtHo')[1]
dtOnlyBxWrong = self.makeDtOnlyPlot(sourceDt='UnmatchedDtBxNot0', sourceDtHo='UnmatchedDtHoBxNot0')[1]
dtOnlyBxWrongHo = self.makeDtOnlyPlot(sourceDt='UnmatchedDtHoBxNot0', sourceDtHo='')[1]
dtOnlyTight = self.makeDtOnlyPlot(sourceDt='tight_UnmatchedDt', sourceDtHo='tight_UnmatchedDtHo')[1]
dtOnlyTightBxWrong = self.makeDtOnlyPlot(sourceDt='tight_UnmatchedDtBxNot0', sourceDtHo='tight_UnmatchedDtHoBxNot0')[1]
dtOnlyTightBxWrongHo = self.makeDtOnlyPlot(sourceDt='tight_UnmatchedDtHoBxNot0', sourceDtHo='')[1]
nAllL1 = allL1.GetEntries()
nAllL1Tight = allTightL1.GetEntries()
nDtOnly = dtOnly.GetEntries()
nDtOnlyBxWrong = dtOnlyBxWrong.GetEntries()
nDtOnlyBxWrongHo = dtOnlyBxWrongHo.GetEntries()
nDtOnlyTight = dtOnlyTight.GetEntries()
nDtOnlyTightBxWrong = dtOnlyTightBxWrong.GetEntries()
nDtOnlyTightBxWrongHo = dtOnlyTightBxWrongHo.GetEntries()
print
header = "%30s %7s %s" % ('Data source','Entries','Fraction of total L1')
if (self.ptCut != ""):
header += '\tpT cut: ' + self.ptCut
self.debug(header)
self.debug('-'*len(header))
self.debug("%30s: %7d" % ('L1',nAllL1))
self.debug("%30s: %7d => %6.2f +/- %6.2f" % ('DT only',nDtOnly,calcPercent(nDtOnly, nAllL1),calcSigma(nDtOnly,nAllL1)*100))
self.debug("%30s: %7d => %6.2f +/- %6.2f"
% ('DT only, BX wrong',nDtOnlyBxWrong,calcPercent(nDtOnlyBxWrong, nAllL1),calcSigma(nDtOnlyBxWrong,nAllL1)*100))
self.debug("%30s: %7d => %6.2f +/- %6.2f"
% ('DT only, BX wrong + HO',nDtOnlyBxWrongHo,calcPercent(nDtOnlyBxWrongHo, nAllL1),calcSigma(nDtOnlyBxWrongHo,nAllL1)*100))
print
self.debug("%30s: %7d => %6.2f +/- %6.2f"
% ('Tight L1',nAllL1Tight,calcPercent(nAllL1Tight, nAllL1),calcSigma(nAllL1Tight,nAllL1)*100))
self.debug("%30s: %7d => %6.2f +/- %6.2f"
% ('Tight DT only',nDtOnlyTight,calcPercent(nDtOnlyTight, nAllL1),calcSigma(nDtOnlyTight,nAllL1)*100))
self.debug("%30s: %7d => %6.2f +/- %6.2f"
% ('Tight DT only, BX wrong',nDtOnlyTightBxWrong,calcPercent(nDtOnlyTightBxWrong, nAllL1)
,calcSigma(nDtOnlyTightBxWrong,nAllL1)*100))
self.debug("%30s: %7d => %6.2f +/- %6.2f"
% ('Tight DT only, BX wrong + HO',nDtOnlyTightBxWrongHo,calcPercent(nDtOnlyTightBxWrongHo, nAllL1)
,calcSigma(nDtOnlyTightBxWrongHo,nAllL1)*100))
print
return
def plotL1AndTightL1Counters(self):
hEvent = self.fileHandler.getHistogram('hoMuonAnalyzer/count/Events_Count')
hAllL1 = self.fileHandler.getHistogram('hoMuonAnalyzer/count/L1Muon_Count')
hAllL13x3 = self.fileHandler.getHistogram('hoMuonAnalyzer/count/L1Muon3x3_Count')
hTightL1 = self.fileHandler.getHistogram('hoMuonAnalyzer/count/L1TightMuons_Count')
hTightL13x3 = self.fileHandler.getHistogram('hoMuonAnalyzer/count/L1TightMuons3x3_Count')
hL1 = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1_Count')
hL1Reco = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1Reco_Count')
hL1RecoHo = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1RecoHo_Count')
hL1RecoHoTight = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1RecoHoTight_Count')
hL1RecoTight = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1RecoTight_Count')
hL1RecoTightHo = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1RecoTightHo_Count')
hL1RecoHoNoThr = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1RecoHoNoThr_Count')
hL1RecoGaHoNoThr = self.fileHandler.getHistogram('hoMuonAnalyzer/count/energyDeposit_L1RecoGaHoNoThr_Count')
histogramList = [hEvent, hL1, hL1Reco, hL1RecoHo, hL1RecoHoTight,
hL1RecoTight, hL1RecoTightHo, hL1RecoHoNoThr, hL1RecoGaHoNoThr ]
names = ['hEvent','hL1','hL1Reco','hL1RecoHo','hL1RecoHoTight','hL1RecoTight','hL1RecoTightHo','hL1RecoHoNoThr','hL1RecoGaHoNoThr']
nL1 = hL1.GetBinContent(2)
self.commandLine.output('###############################################')
for i,h in enumerate(histogramList):
self.commandLine.output('%-20s:%8d\t=> %5.2f' % (names[i],h.GetBinContent(2),calcPercent(h.GetBinContent(2),nL1)))
self.commandLine.output('###############################################')
nL1Reco = hL1Reco.GetBinContent(2)
nL1RecoHo = hL1RecoHo.GetBinContent(2)
nL1RecoHoTight = hL1RecoHoTight.GetBinContent(2)
nL1RecoTight = hL1RecoTight.GetBinContent(2)
nL1RecoTightHo = hL1RecoTightHo.GetBinContent(2)
N_BINS = 4
binContents = [nL1,nL1Reco,nL1RecoHo,nL1RecoHoTight]
binLabels = ['L1','L1 -> Reco','L1 + R -> HO','L1 + R + HO -> tight']
binContentsInverted = [nL1,nL1Reco,nL1RecoTight,nL1RecoTightHo]
binLabelsInverted = ['L1','L1 -> Reco','L1 + R -> tight','L1 + R + tight -> HO']
c = TCanvas('cL1AndTightL1Count','L1AndTightL1Count')
h = TH1D('hL1AndTightL1Count','L1 Cutflow',4,-0.5,N_BINS - .5)
hInverted = TH1D('hL1AndTightL1CountInverted','L1 Efficiency',4,-0.5,N_BINS - .5)
hInverted.SetFillStyle(3002)
hInverted.SetFillColor(colorRwthOrange)
hInverted.SetLineColor(colorRwthOrange)
hInverted.SetLineStyle(3)
hL13x3Alone = TH1D('hL1And3x3Alone','',1,1.5,2.5)
hL13x3Alone.SetBinContent(1,nL1RecoHo/nL1Reco)
hL13x3Alone.SetBinError(1,calcSigma(nL1RecoHo,nL1Reco))
hL13x3Alone.SetLineColor(colorRwthMagenta)
hTightL13x3Alone = TH1D('hTightL1And3x3Alone','',1,2.5,3.5)
hTightL13x3Alone.SetBinContent(1,nL1RecoHoTight/nL1RecoHo)
hTightL13x3Alone.SetBinError(1,calcSigma(nL1RecoHoTight,nL1RecoHo))
hTightL13x3Alone.SetLineColor(colorRwthTuerkis)
for i in range(2,N_BINS + 1):
h.SetBinContent(i,binContents[i-1]/binContents[1])
h.GetXaxis().SetBinLabel(i,binLabels[i-1])
hInverted.SetBinContent(i,binContentsInverted[i-1]/binContentsInverted[1])
hInverted.GetXaxis().SetBinLabel(i,binLabelsInverted[i-1])
h.GetXaxis().SetBinLabel(1,'L1')
h.SetBinContent(1,1)
hInverted.GetXaxis().SetBinLabel(1,'L1')
hInverted.SetBinContent(1,1)
h.SetLineColor(colorRwthDarkBlue)
h.SetStats(0)
h.GetYaxis().SetTitle('rel. fraction')
h.Draw()
# hL13x3Alone.Draw('same e')
# hTightL13x3Alone.Draw('same e')
hInverted.Draw('same')
hInverted.GetXaxis().Draw('same')
setupAxes(h)
legend = getLegend(y2=.9,x1=.55)
legend.AddEntry(h,'First match HO then use tight','l')
# legend.AddEntry(hL13x3Alone,'3x3 matching normed to # L1 + R','le')
# legend.AddEntry(hTightL13x3Alone,'Normed to # L1 + R + HO','l')
legend.AddEntry(hInverted,'Inverted order for HO and tight','f')
legend.Draw()
label = self.drawLabel()
textObjects = []
#for (Int_t i=1;i<=30;i++) t.DrawText(h->GetBinCenter(i),yt,Form("%d",i%10));
for i in range(1,4):
t = TText()
t.SetTextSize(0.025)
t.SetTextAlign(22)
t.SetTextColor(colorRwthOrange)
t.DrawTextNDC(getXinNDC(hInverted.GetBinCenter(i+1)),0.05,binLabelsInverted[i])
# Double_t yt = - h->GetMaximum()/15.;
textObjects.append(t)
c.Update()
self.storeCanvas(c, 'l1AndTightL1Counters')
return h,c,hL13x3Alone,hTightL13x3Alone,label,legend,hInverted,textObjects
def printFractionsForDtOnly(self):
allL1 = self.fileHandler.getHistogram('count/timingSupport__Count')
allTightL1 = self.fileHandler.getHistogram(
'count/timingSupport_tight__Count')
dtOnly = self.makeDtOnlyPlot(sourceDt='UnmatchedDt',
sourceDtHo='UnmatchedDtHo')[1]
dtOnlyBxWrong = self.makeDtOnlyPlot(
sourceDt='UnmatchedDtBxNot0', sourceDtHo='UnmatchedDtHoBxNot0')[1]
dtOnlyBxWrongHo = self.makeDtOnlyPlot(sourceDt='UnmatchedDtHoBxNot0',
sourceDtHo='')[1]
dtOnlyTight = self.makeDtOnlyPlot(sourceDt='tight_UnmatchedDt',
sourceDtHo='tight_UnmatchedDtHo')[1]
dtOnlyTightBxWrong = self.makeDtOnlyPlot(
sourceDt='tight_UnmatchedDtBxNot0',
sourceDtHo='tight_UnmatchedDtHoBxNot0')[1]
dtOnlyTightBxWrongHo = self.makeDtOnlyPlot(
sourceDt='tight_UnmatchedDtHoBxNot0', sourceDtHo='')[1]
nAllL1 = allL1.GetEntries()
nAllL1Tight = allTightL1.GetEntries()
nDtOnly = dtOnly.GetEntries()
nDtOnlyBxWrong = dtOnlyBxWrong.GetEntries()
nDtOnlyBxWrongHo = dtOnlyBxWrongHo.GetEntries()
nDtOnlyTight = dtOnlyTight.GetEntries()
nDtOnlyTightBxWrong = dtOnlyTightBxWrong.GetEntries()
nDtOnlyTightBxWrongHo = dtOnlyTightBxWrongHo.GetEntries()
print
header = "%30s %7s %s" % ('Data source', 'Entries',
'Fraction of total L1')
if (self.ptCut != ""):
header += '\tpT cut: ' + self.ptCut
self.debug(header)
self.debug('-' * len(header))
self.debug("%30s: %7d" % ('L1', nAllL1))
self.debug("%30s: %7d => %6.2f +/- %6.2f" %
('DT only', nDtOnly, calcPercent(
nDtOnly, nAllL1), calcSigma(nDtOnly, nAllL1) * 100))
self.debug("%30s: %7d => %6.2f +/- %6.2f" %
('DT only, BX wrong', nDtOnlyBxWrong,
calcPercent(nDtOnlyBxWrong, nAllL1),
calcSigma(nDtOnlyBxWrong, nAllL1) * 100))
self.debug("%30s: %7d => %6.2f +/- %6.2f" %
('DT only, BX wrong + HO', nDtOnlyBxWrongHo,
calcPercent(nDtOnlyBxWrongHo, nAllL1),
calcSigma(nDtOnlyBxWrongHo, nAllL1) * 100))
print
self.debug("%30s: %7d => %6.2f +/- %6.2f" %
('Tight L1', nAllL1Tight, calcPercent(nAllL1Tight, nAllL1),
calcSigma(nAllL1Tight, nAllL1) * 100))
self.debug(
"%30s: %7d => %6.2f +/- %6.2f" %
('Tight DT only', nDtOnlyTight, calcPercent(
nDtOnlyTight, nAllL1), calcSigma(nDtOnlyTight, nAllL1) * 100))
self.debug("%30s: %7d => %6.2f +/- %6.2f" %
('Tight DT only, BX wrong', nDtOnlyTightBxWrong,
calcPercent(nDtOnlyTightBxWrong, nAllL1),
calcSigma(nDtOnlyTightBxWrong, nAllL1) * 100))
self.debug("%30s: %7d => %6.2f +/- %6.2f" %
('Tight DT only, BX wrong + HO', nDtOnlyTightBxWrongHo,
calcPercent(nDtOnlyTightBxWrongHo, nAllL1),
calcSigma(nDtOnlyTightBxWrongHo, nAllL1) * 100))
print
return
def plotL1AndTightL1Counters(self):
hEvent = self.fileHandler.getHistogram('count/Events_Count')
hAllL1 = self.fileHandler.getHistogram('count/L1Muon_Count')
hAllL13x3 = self.fileHandler.getHistogram('count/L1Muon3x3_Count')
hTightL1 = self.fileHandler.getHistogram('count/L1TightMuons_Count')
hTightL13x3 = self.fileHandler.getHistogram(
'count/L1TightMuons3x3_Count')
hL1 = self.fileHandler.getHistogram('count/energyDeposit_L1_Count')
hL1Reco = self.fileHandler.getHistogram(
'count/energyDeposit_L1Reco_Count')
hL1RecoHo = self.fileHandler.getHistogram(
'count/energyDeposit_L1RecoHo_Count')
hL1RecoHoTight = self.fileHandler.getHistogram(
'count/energyDeposit_L1RecoHoTight_Count')
hL1RecoTight = self.fileHandler.getHistogram(
'count/energyDeposit_L1RecoTight_Count')
hL1RecoTightHo = self.fileHandler.getHistogram(
'count/energyDeposit_L1RecoTightHo_Count')
hL1RecoHoNoThr = self.fileHandler.getHistogram(
'count/energyDeposit_L1RecoHoNoThr_Count')
hL1RecoGaHoNoThr = self.fileHandler.getHistogram(
'count/energyDeposit_L1RecoGaHoNoThr_Count')
histogramList = [
hEvent, hL1, hL1Reco, hL1RecoHo, hL1RecoHoTight, hL1RecoTight,
hL1RecoTightHo, hL1RecoHoNoThr, hL1RecoGaHoNoThr
]
names = [
'hEvent', 'hL1', 'hL1Reco', 'hL1RecoHo', 'hL1RecoHoTight',
'hL1RecoTight', 'hL1RecoTightHo', 'hL1RecoHoNoThr',
'hL1RecoGaHoNoThr'
]
nL1 = hL1.GetBinContent(2)
self.commandLine.output(
'###############################################')
for i, h in enumerate(histogramList):
self.commandLine.output('%-20s:%8d\t=> %6.2f%% +/- %5.2f%%' %
(names[i], h.GetBinContent(2),
calcPercent(h.GetBinContent(2), nL1),
calcSigma(h.GetBinContent(2), nL1) * 100))
self.commandLine.output(
'###############################################')
nL1Reco = hL1Reco.GetBinContent(2)
nL1RecoHo = hL1RecoHo.GetBinContent(2)
nL1RecoHoTight = hL1RecoHoTight.GetBinContent(2)
nL1RecoTight = hL1RecoTight.GetBinContent(2)
nL1RecoTightHo = hL1RecoTightHo.GetBinContent(2)
N_BINS = 4
binContents = [nL1, nL1Reco, nL1RecoHo, nL1RecoHoTight]
binLabels = [
'L1', 'L1 -> Reco', 'L1 + R -> HO', 'L1 + R + HO -> tight'
]
binContentsInverted = [nL1, nL1Reco, nL1RecoTight, nL1RecoTightHo]
binLabelsInverted = [
'L1', 'L1 -> Reco', 'L1 + R -> tight', 'L1 + R + tight -> HO'
]
c = TCanvas('cL1AndTightL1Count', 'L1AndTightL1Count')
h = TH1D('hL1AndTightL1Count', 'L1 Cutflow', 4, -0.5, N_BINS - .5)
hInverted = TH1D('hL1AndTightL1CountInverted', 'L1 Efficiency', 4,
-0.5, N_BINS - .5)
hInverted.SetFillStyle(3002)
hInverted.SetFillColor(colorRwthOrange)
hInverted.SetLineColor(colorRwthOrange)
hInverted.SetLineStyle(3)
hL13x3Alone = TH1D('hL1And3x3Alone', '', 1, 1.5, 2.5)
hL13x3Alone.SetBinContent(1, nL1RecoHo / nL1Reco)
hL13x3Alone.SetBinError(1, calcSigma(nL1RecoHo, nL1Reco))
hL13x3Alone.SetLineColor(colorRwthMagenta)
hTightL13x3Alone = TH1D('hTightL1And3x3Alone', '', 1, 2.5, 3.5)
hTightL13x3Alone.SetBinContent(1, nL1RecoHoTight / nL1RecoHo)
hTightL13x3Alone.SetBinError(1, calcSigma(nL1RecoHoTight, nL1RecoHo))
hTightL13x3Alone.SetLineColor(colorRwthTuerkis)
for i in range(2, N_BINS + 1):
h.SetBinContent(i, binContents[i - 1] / binContents[1])
h.GetXaxis().SetBinLabel(i, binLabels[i - 1])
hInverted.SetBinContent(
i, binContentsInverted[i - 1] / binContentsInverted[1])
hInverted.GetXaxis().SetBinLabel(i, binLabelsInverted[i - 1])
h.GetXaxis().SetBinLabel(1, 'L1')
h.SetBinContent(1, 1)
hInverted.GetXaxis().SetBinLabel(1, 'L1')
hInverted.SetBinContent(1, 1)
h.SetLineColor(colorRwthDarkBlue)
h.SetStats(0)
h.GetYaxis().SetTitle('rel. fraction')
h.Draw()
# hL13x3Alone.Draw('same e')
# hTightL13x3Alone.Draw('same e')
hInverted.Draw('same')
hInverted.GetXaxis().Draw('same')
setupAxes(h)
legend = getLegend(y2=.9, x1=.55)
legend.AddEntry(h, 'First match HO then use tight', 'l')
# legend.AddEntry(hL13x3Alone,'3x3 matching normed to # L1 + R','le')
# legend.AddEntry(hTightL13x3Alone,'Normed to # L1 + R + HO','l')
legend.AddEntry(hInverted, 'Inverted order for HO and tight', 'f')
legend.Draw()
label = self.drawLabel()
textObjects = []
#for (Int_t i=1;i<=30;i++) t.DrawText(h->GetBinCenter(i),yt,Form("%d",i%10));
for i in range(1, 4):
t = TText()
t.SetTextSize(0.025)
t.SetTextAlign(22)
t.SetTextColor(colorRwthOrange)
t.DrawTextNDC(getXinNDC(hInverted.GetBinCenter(i + 1)), 0.05,
binLabelsInverted[i])
# Double_t yt = - h->GetMaximum()/15.;
textObjects.append(t)
c.Update()
self.storeCanvas(c, 'l1AndTightL1Counters')
return h, c, hL13x3Alone, hTightL13x3Alone, label, legend, hInverted, textObjects
def printFractionsPerIEta(self, graph):
self.output("Fractions of HO time in [-12.5,12.5] ns")
counterDict = [{
'total':
0,
'inside':
0,
'hist':
TH1D('hist' + str(i - 10), '', 201, -100.5, 100.5)
} for i in range(0, 21)]
x = Double(0)
y = Double(0)
nTotal = graph.GetN()
###
# Fill histograms for later calculation of mean
###
for i in range(0, nTotal):
graph.GetPoint(i, x, y)
indexHelper = int(x + 10)
counterDict[indexHelper]['total'] += 1
counterDict[indexHelper]['hist'].Fill(y)
###
# Once all histograms are filled, calculate median
###
for index, item in enumerate(counterDict):
item['median'] = getMedian(item['hist'])
###
# Fill the number of objects in interval depending on the
# Histogram median
###
nDone = 0
if self.DEBUG:
self.debug('Filling interval counters')
for i in range(0, nTotal):
graph.GetPoint(i, x, y)
indexHelper = int(x + 10)
median = counterDict[indexHelper]['median']
if (fabs(median - y) < 12.5):
counterDict[indexHelper]['inside'] += 1
nDone += 1
self.printProgress(nDone, nTotal)
#Graph for results
graph = TEfficiency(graph.GetName(), "", 21, -10.5, 10.5)
###
# Plot the results of calculations on CLI
###
for index, item in enumerate(counterDict):
if (index - 10 == 0):
continue
total = item['total']
inside = item['inside']
self.output(
"iEta: %3d\tTotal: %5d\tInside:%5d\tFraction:%6.2f +/- %6.2f" %
(index - 10, total, inside, calcPercent(
inside, total), calcSigma(inside, total) * 100))
graph.SetTotalEvents(graph.FindFixBin(index - 10), total)
graph.SetPassedEvents(graph.FindFixBin(index - 10), inside)
return graph, counterDict
def plotL1AndTightL1Counters(self):
hEvent = self.fileHandler.getHistogram('count/Events_Count')
hAllL1 = self.fileHandler.getHistogram('count/L1Muon_Count')
hAllL13x3 = self.fileHandler.getHistogram('count/L1Muon3x3_Count')
hTightL1 = self.fileHandler.getHistogram('count/L1TightMuons_Count')
hTightL13x3 = self.fileHandler.getHistogram('count/L1TightMuons3x3_Count')
hL1 = self.fileHandler.getHistogram('count/energyDeposit_L1_Count')
hL1Reco = self.fileHandler.getHistogram('count/energyDeposit_L1Reco_Count')
hL1RecoHo = self.fileHandler.getHistogram('count/energyDeposit_L1RecoHo_Count')
hL1RecoHoTight = self.fileHandler.getHistogram('count/energyDeposit_L1RecoHoTight_Count')
hL1RecoTight = self.fileHandler.getHistogram('count/energyDeposit_L1RecoTight_Count')
hL1RecoTightHo = self.fileHandler.getHistogram('count/energyDeposit_L1RecoTightHo_Count')
hL1RecoHoNoThr = self.fileHandler.getHistogram('count/energyDeposit_L1RecoHoNoThr_Count')
hL1RecoGaHoNoThr = self.fileHandler.getHistogram('count/energyDeposit_L1RecoGaHoNoThr_Count')
histogramList = [hEvent, hL1, hL1Reco, hL1RecoHo, hL1RecoHoTight,
hL1RecoTight, hL1RecoTightHo, hL1RecoHoNoThr, hL1RecoGaHoNoThr ]
names = ['hEvent','hL1','hL1Reco','hL1RecoHo','hL1RecoHoTight','hL1RecoTight','hL1RecoTightHo','hL1RecoHoNoThr','hL1RecoGaHoNoThr']
nL1 = hL1.GetBinContent(2)
self.commandLine.output('###############################################')
for i,h in enumerate(histogramList):
self.commandLine.output('%-20s:%8d\t=> %6.2f%% +/- %5.2f%%' % (names[i],h.GetBinContent(2)
,calcPercent(h.GetBinContent(2),nL1),calcSigma(h.GetBinContent(2),nL1)*100))
self.commandLine.output('###############################################')
nL1Reco = hL1Reco.GetBinContent(2)
nL1RecoHo = hL1RecoHo.GetBinContent(2)
nL1RecoHoTight = hL1RecoHoTight.GetBinContent(2)
nL1RecoTight = hL1RecoTight.GetBinContent(2)
nL1RecoTightHo = hL1RecoTightHo.GetBinContent(2)
N_BINS = 4
binContents = [nL1,nL1Reco,nL1RecoHo,nL1RecoHoTight]
binLabels = ['L1','L1 -> Reco','L1 + R -> HO','L1 + R + HO -> tight']
binContentsInverted = [nL1,nL1Reco,nL1RecoTight,nL1RecoTightHo]
binLabelsInverted = ['L1','L1 -> Reco','L1 + R -> tight','L1 + R + tight -> HO']
c = TCanvas('cL1AndTightL1Count','L1AndTightL1Count',1200,900)
h = TH1D('hL1AndTightL1Count','',4,-0.5,N_BINS - .5)
hInverted = TH1D('hL1AndTightL1CountInverted','',4,-0.5,N_BINS - .5)
hInverted.SetFillStyle(1001)
hInverted.SetFillColorAlpha(colorRwthOrange,.5)
hInverted.SetLineColorAlpha(colorRwthOrange,.5)
hL13x3Alone = TH1D('hL1And3x3Alone','',1,1.5,2.5)
hL13x3Alone.SetBinContent(1,nL1RecoHo/nL1Reco)
hL13x3Alone.SetBinError(1,calcSigma(nL1RecoHo,nL1Reco))
hL13x3Alone.SetLineColor(colorRwthMagenta)
hTightL13x3Alone = TH1D('hTightL1And3x3Alone','',1,2.5,3.5)
hTightL13x3Alone.SetBinContent(1,nL1RecoHoTight/nL1RecoHo)
hTightL13x3Alone.SetBinError(1,calcSigma(nL1RecoHoTight,nL1RecoHo))
hTightL13x3Alone.SetLineColor(colorRwthTuerkis)
for i in range(2,N_BINS + 1):
h.SetBinContent(i,binContents[i-1]/binContents[1])
h.GetXaxis().SetBinLabel(i,binLabels[i-1])
hInverted.SetBinContent(i,binContentsInverted[i-1]/binContentsInverted[1])
#Very dirty hack to change the order of plotting but have the correct labels !!!
hInverted.GetXaxis().SetBinLabel(i,binLabels[i-1])#binLabelsInverted[i-1])
h.GetXaxis().SetBinLabel(1,'L1')
h.SetBinContent(1,1)
hInverted.SetLabelSize(0.05)
hInverted.GetXaxis().SetBinLabel(1,'L1')
hInverted.SetBinContent(1,1)
h.SetLineColor(colorRwthDarkBlue)
hInverted.SetStats(0)
hInverted.GetYaxis().SetTitle('rel. fraction')
# hL13x3Alone.Draw('same e')
# hTightL13x3Alone.Draw('same e')
hInverted.Draw('')
hInverted.GetXaxis().Draw('same')
h.Draw('same')
setupAxes(hInverted)
legend = getLegend(y1=.85,y2=.95,x1=.64,x2=.98)
legend.AddEntry(h,'First match HO then use tight','l')
# legend.AddEntry(hL13x3Alone,'3x3 matching normed to # L1 + R','le')
# legend.AddEntry(hTightL13x3Alone,'Normed to # L1 + R + HO','l')
legend.AddEntry(hInverted,'Inverted order for HO and tight','f')
legend.Draw()
#label = self.drawLabel(x1ndc=.69,x2ndc=.99)
textObjects = []
#Manually determined
xNdcCoordinates = [0.42,0.64,0.86]
#for (Int_t i=1;i<=30;i++) t.DrawText(h->GetBinCenter(i),yt,Form("%d",i%10));
for i in range(1,4):
t = TText()
t.SetTextSize(0.035)
t.SetTextAlign(22)
t.SetTextColor(colorRwthOrange)
t.DrawTextNDC(xNdcCoordinates[i-1],0.035,binLabelsInverted[i])
# Double_t yt = - h->GetMaximum()/15.;
textObjects.append(t)
c.Update()
self.storeCanvas(c, 'l1AndTightL1Counters',marginRight=.02)
return h,c,hL13x3Alone,hTightL13x3Alone,legend,hInverted,textObjects
