def plotTruthL1Together(self):
c = TCanvas('cTimeWindowTruthL1',"Time Window Truth L1")
effL1Muon3x3 = self.fileHandler.getHistogram('efficiency/L1MuonTruth3x3_Efficiency')
effL1Muon3x3TW = self.fileHandler.getHistogram('efficiency/L1MuonTruthTimeWindow3x3_Efficiency')
effL1Muon3x3.SetMarkerStyle(22)
effL1Muon3x3.SetMarkerColor(colorRwthDarkBlue)
effL1Muon3x3.SetLineColor(colorRwthDarkBlue)
effL1Muon3x3.SetTitle('Efficiency Truth in 3x3 grid;p_{T} / GeV;rel. fraction')
effL1Muon3x3.Draw()
c.Update()
effL1Muon3x3.GetPaintedGraph().GetXaxis().SetRangeUser(0,40)
#effL1Muon3x3.GetPaintedGraph().GetYaxis().SetRangeUser(0.996,1.001)
effL1Muon3x3TW.SetMarkerStyle(23)
effL1Muon3x3TW.SetMarkerColor(colorRwthMagenta)
effL1Muon3x3TW.SetLineColor(colorRwthMagenta)
effL1Muon3x3TW.Draw('same')
setupAxes(effL1Muon3x3)
legend = TLegend(0.55,0.1,0.9,0.3)
legend.AddEntry(effL1Muon3x3,'Matches to L1 Truth in 3x3 grid','ep')
legend.AddEntry(effL1Muon3x3TW,'Matches to L1 Truth in 3x3 grid and time window','ep')
legend.Draw()
label = None
if self.data:
label = drawLabelCmsPrivateData()
else:
label = drawLabelCmsPrivateSimulation()
c.Update()
return c, label, effL1Muon3x3, effL1Muon3x3TW, legend
def plotTruthL1Together(self):
c = TCanvas('cTimeWindowTruthL1',"Time Window Truth L1")
effL1Muon3x3 = self.fileHandler.getHistogram('hoMuonAnalyzer/efficiency/L1MuonTruth3x3_Efficiency')
effL1Muon3x3TW = self.fileHandler.getHistogram('hoMuonAnalyzer/efficiency/L1MuonTruthTimeWindow3x3_Efficiency')
effL1Muon3x3.SetMarkerStyle(22)
effL1Muon3x3.SetMarkerColor(colorRwthDarkBlue)
effL1Muon3x3.SetLineColor(colorRwthDarkBlue)
effL1Muon3x3.SetTitle('Efficiency Truth in 3x3 grid;p_{T} / GeV;rel. fraction')
effL1Muon3x3.Draw()
c.Update()
effL1Muon3x3.GetPaintedGraph().GetXaxis().SetRangeUser(0,40)
#effL1Muon3x3.GetPaintedGraph().GetYaxis().SetRangeUser(0.996,1.001)
effL1Muon3x3TW.SetMarkerStyle(23)
effL1Muon3x3TW.SetMarkerColor(colorRwthMagenta)
effL1Muon3x3TW.SetLineColor(colorRwthMagenta)
effL1Muon3x3TW.Draw('same')
setupAxes(effL1Muon3x3)
legend = TLegend(0.55,0.1,0.9,0.3)
legend.AddEntry(effL1Muon3x3,'Matches to L1 Truth in 3x3 grid','ep')
legend.AddEntry(effL1Muon3x3TW,'Matches to L1 Truth in 3x3 grid and time window','ep')
legend.Draw()
label = None
if self.data:
label = drawLabelCmsPrivateData()
else:
label = drawLabelCmsPrivateSimulation()
c.Update()
return c, label, effL1Muon3x3, effL1Muon3x3TW, legend
def plotL13x3AndL1Tight3x3L1Coordinates(self):
effL1Muon3x3 = self.fileHandler.getHistogram('hoMuonAnalyzer/efficiency/gridMatching_L1pT_loose3x3_Efficiency')
effL1TightMuon3x3 = self.fileHandler.getHistogram('hoMuonAnalyzer/efficiency/gridMatching_L1pT_tight3x3_Efficiency')
c = TCanvas("tight and normal 3x3 L1 pT","3x3 All and Tight",1200,1200)
effL1Muon3x3.SetMarkerColor(colorRwthDarkBlue)
effL1Muon3x3.SetLineColor(colorRwthDarkBlue)
effL1Muon3x3.SetMarkerStyle(20)
effL1Muon3x3.SetTitle('Efficiency for Matching HO to L1 and L1 Tight;p_{T,L1} / GeV;Efficiency')
effL1TightMuon3x3.SetMarkerColor(colorRwthMagenta)
effL1TightMuon3x3.SetLineColor(colorRwthMagenta)
effL1TightMuon3x3.SetMarkerStyle(21)
effL1Muon3x3.Draw('')
effL1TightMuon3x3.Draw('same')
c.Update()
effL1Muon3x3.GetPaintedGraph().GetXaxis().SetRangeUser(0,20)
effL1Muon3x3.GetPaintedGraph().GetYaxis().SetRangeUser(0,1)
setupAxes(effL1Muon3x3)
setupAxes(effL1TightMuon3x3)
legend = TLegend(0.55,0.1,0.9,0.3)
legend.AddEntry(effL1Muon3x3,'Matches in 3x3 grid','ep')
legend.AddEntry(effL1TightMuon3x3,'Matches from tight in 3x3 grid','ep')
legend.Draw()
label = self.drawLabel()
c.Update()
self.storeCanvas(c,'efficiencyNormalAndTightVsPtL1')
return c, legend, effL1Muon3x3, effL1TightMuon3x3,label
def plotAverageEnergyAroundL1(self):
canvas = TCanvas('canvasAverageEnergy','Average energy',900,800)
canvas.cd().SetLogz()
canvas.cd().SetRightMargin(.15)
hSum = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_SummedEnergy')
hCounter = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_Counter')
for i in range(0,hSum.GetNbinsX()):
for j in range(0,hSum.GetNbinsY()):
if hCounter.GetBinContent(hCounter.GetBin(i,j)) != 0:
hSum.SetBinContent(hSum.GetBin(i,j),hSum.GetBinContent(hSum.GetBin(i,j))/hCounter.GetBinContent(hCounter.GetBin(i,j)))
pass
hSum.GetXaxis().SetRangeUser(-0.6,0.6)
hSum.GetYaxis().SetRangeUser(-0.6,0.6)
hSum.GetZaxis().SetTitle('Reconstructed Energy / GeV')
hSum.SetTitle(';#Delta#eta;#Delta#phi;Reconstructed Energy / GeV')#'Average Energy in HO tiles around L1 direction
hSum.Draw('colz')
canvas.Update()
#Setup plot style
setupAxes(hSum)
setStatBoxOptions(hSum,1100)
setStatBoxPosition(hSum,x1=.65,x2=.85)
setupPalette(hSum,x2ndc=.87)
canvas.Update()
self.storeCanvas(canvas,'averageEnergy',marginRight=.15)
return canvas,hSum,hCounter,drawHoBoxes(canvas)
def plot1DEnergyAroundL1(self):
'''
eta[P,M][2,1,0]phi[P,M][2,1,0]_averageEnergyAroundPoint
Central tile is central
'''
histList = []
fitList = []
labelList = []
canvas = TCanvas('canvas1DEnergy','1D energy',1200,1200)
for p in reversed(range(-2,3)):
for e in range(-2,3):
if e == 0 and p == 0:
histList.append(self.fileHandler.getHistogram('etaPhi/energy1D/central_averageEnergyAroundPoint' + self.key))
else:
histName = ('etaPhi/energy1D/eta%s%dPhi%s%d_averageEnergyAroundPoint' + self.key) % ('P' if e >= 0 else 'M',abs(e),'P' if p >= 0 else 'M',abs(p))
histList.append(self.fileHandler.getHistogram(histName))
canvas.Divide(5,5)
for i,hist in enumerate(histList):
canvas.cd(i+1).SetLogy()
hist.GetXaxis().SetRangeUser(-0.5,4)
hist.SetLineWidth(3)
setupAxes(hist)
hist.Draw()
fit = TF1('fit%d' % (i),'landau',0.5,2)
hist.Fit(fit,'RQ')
label = TPaveText(0.6,0.7,0.9,0.9,"NDC")
label.AddText('MPV: %5.2f' % (fit.GetParameter(1)))
label.Draw()
labelList.append(label)
fitList.append(fit)
canvas.Update()
self.storeCanvas(canvas, '1DPlots')
return histList,canvas,fitList,labelList
def plotL1PerPt(self):
ptValues = [0.,1.5,2.0,2.5,3.0,3.5,4.0,4.5,5.0,6.0,7.0,8.0,10.0,12.0,14.0,16.0,18.0,20.0,25.0,30.0,35.0,40.0,45.0,50.0,60.0,70.0,80.0,90.0,100.0,120.0,140.0]
ptBins = [0]
for i in range(len(ptValues)-1):
ptBins.append( (ptValues[i]+ptValues[i+1])/2. )
ptBins.append(200)
canvas = TCanvas('cL1PerPt')
hist = TH1D('hist','# L1 per p_{T}',len(ptBins)-1,array('d',ptBins))
chain = self.fileHandler.getTChain()
eventCounter = 0
liste = []
nEvents = chain.GetEntries()
for event in chain:
eventCounter += 1
for l1 in event.l1MuonData:
if not l1.pt in liste:
liste.append(l1.pt)
hist.Fill(l1.pt)
if not eventCounter%10000:
printProgress(eventCounter,nEvents)
if eventCounter == 50000:
break
print
setupAxes(hist)
hist.SetStats(0)
hist.Scale(1,"width")
hist.Draw()
label = drawLabelCmsPrivateSimulation()
canvas.Update()
# print liste
return hist, canvas, label
def setupEAvplot(histE,
histC=None,
xmin=-0.4,
xmax=0.4,
ymin=-0.4,
ymax=0.4,
same=False,
limitForAll=None):
if histC != None:
histE = average2DHistogramBinwise(histE, histC)
if same:
if limitForAll == None:
commandLine.warning(
'WARNING: Requested same histogram borders for all ranges but '
'did not give limitForAll parameter. Using default values instead!'
)
else:
xmin = ymin = -limitForAll
xmax = ymax = limitForAll
histE.GetXaxis().SetRangeUser(xmin, xmax)
histE.GetYaxis().SetRangeUser(ymin, ymax)
histE.SetStats(0)
histE.GetXaxis().SetTitle('#Delta#eta')
histE.GetYaxis().SetTitle('#Delta#phi')
histE.GetZaxis().SetTitle('Reconstructed Energy / GeV')
setupAxes(histE)
return histE
def plotDeltaPhiVsL1Phi(self):
canvas = TCanvas('cDeltaPhiVsL1Phi','DeltaPhiVsL1Phi',1200,1200)
hist = self.fileHandler.getHistogram('correlation/shiftCheckDeltaPhiVsPhi')
hist.GetYaxis().SetRangeUser(-1,1)
hist.GetXaxis().SetRangeUser(-.5,.5)
hist.GetXaxis().SetTitle('L1 #phi')
hist.GetZaxis().SetTitle('#')
hist.SetStats(0)
hist.SetTitle('#Delta#phi vs. L1#phi')
setupAxes(hist)
hist.Draw('colz')
phiBorderLines = []
HO_BIN = math.pi/36.
for i in range(-31,32):
line = TLine(HO_BIN*i - HO_BIN/2.,-.6, HO_BIN*i - HO_BIN/2.,.6)
line.SetLineWidth(2)
# line.Draw()
phiBorderLines.append(line)
legend = TLegend(0.6,0.8,0.9,0.85)
legend.AddEntry(phiBorderLines[0],"HO Tile center","e")
#legend.Draw()
label = self.drawLabel()
canvas.Update()
setupPalette(hist)
canvas.Update()
canvas.SaveAs('plots/deltaPhiVsL1Phi.pdf')
return canvas,hist,label,phiBorderLines,legend
def plotPtAndPhiOfWrongBxId(self):
#Prepare canvas
canvas = TCanvas("canvasPtPhiBxWrong","PtPhiBxWrong",1200,1200)
canvas.cd().Draw()
#prepare histogram
hist = self.fileHandler.getHistogram("etaPhi/3D/BxWrongGen_EtaPhiPt")
stack = THStack(hist,"zy","2dStack","",-1,-1,-1,-1,"zy","")
#Create new histogram and add the histograms from the stack
histNew = TH2D("histPtPhiBxWrong","p_{T} vs. #phi distribution for wrong BX ID;#phi;p_{T} / 5 GeV;#",80,-3.2,3.2,40,0,200)
histNew.GetYaxis().SetTitleOffset(1.2)
for i in stack.GetHists():
histNew.Add(i)
gStyle.SetPalette(1)
histNew.SetStats(0)
setupAxes(histNew)
histNew.Draw('COLZ')
canvas.Update()
palette = histNew.FindObject("palette")
palette.SetX1NDC(0.9)
palette.SetX2NDC(0.92)
#add label
label = getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
self.storeCanvas(canvas,"bxWrongPtPhi")
return canvas,hist,stack,histNew,label
def plotHoDigiMatchesPerDetId(self):
canvas = TCanvas('canvasDigiMatchesMultiplicity')
digiMatches = self.fileHandler.getHistogram(
'hoDigiMatchesPerDetId_Multiplicity')
setupAxes(digiMatches)
digiMatches.SetTitle(
'Number of matches between RecHit and Digi for a given DetId')
digiMatches.GetXaxis().SetRangeUser(0, 5)
digiMatches.GetXaxis().SetTitle('Number of matches per DetId')
digiMatches.GetYaxis().SetTitle('#')
canvas.cd().SetLogy()
digiMatches.SetLineWidth(3)
digiMatches.SetLineColor(colorRwthDarkBlue)
digiMatches.Draw()
label = drawLabelCmsPrivateSimulation()
canvas.Update()
stats = digiMatches.GetListOfFunctions().FindObject("stats")
stats.SetX1NDC(.7)
stats.SetX2NDC(.9)
stats.SetY1NDC(.75)
stats.SetY2NDC(.9)
canvas.Update()
self.storeCanvas(canvas, "digiMatchesPerDetId")
return canvas, digiMatches, label
def plotRecHitVsDigiTime():
canvas = TCanvas("canvasRecHitVsDigi", "RecHitTime Vs Simple Digi", 1200,
1200)
hoDigiTime = fileHandler.getGraph(
'hoDigiAnalyzer/correlation/hoTimeRecHitVsDigi')
setupAxes(hoDigiTime)
hoDigiTime.GetXaxis().SetTitle('digi time / ns')
hoDigiTime.GetYaxis().SetTitle('rec hit time / ns')
hoDigiTime.GetYaxis().SetTitleOffset(1.2)
hoDigiTime.SetMarkerStyle(6)
hoDigiTime.SetMarkerColor(colorRwthDarkBlue)
hoDigiTime.SetTitle('HORecHit time vs. simple digi time estimation')
hoDigiTime.Draw('ap')
#Label for CMS private
label = getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
canvas.SaveAs('plots/timing/digiTimeVsRecHitTime.png')
return canvas, label, hoDigiTime
def makeEmaxPlot(self,source, title = ""):
if title == "":
title = '# of E_{Max} in HO tiles around L1 direction ' + source
canvas = TCanvas('canvasEmaxcounts' + source,'E max counts' + source,900,900)
canvas.cd().SetLogz()
hCounter = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEMaxAroundPoint' + source + '_2dCounter')
hCounter.GetXaxis().SetRangeUser(-.6,.6)
hCounter.GetYaxis().SetRangeUser(-.6,.6)
hCounter.SetTitle(title + ';#Delta#eta;#Delta#phi;# Entries')
hCounter.SetStats(0)
hCounter.Draw('colz')
canvas.Update()
setupAxes(hCounter)
setupPalette(hCounter)
canvas.Update()
label = self.drawLabel()
#boxes = drawHoBoxes(canvas)
self.storeCanvas(canvas,'eMaxCounts' + source)
#Output fractions in grid
self.debug('Emax fraction for ' + source)
self.outputFractionsInTileGrid(hCounter)
return canvas,label,hCounter
def makeCoordinatePlot(self,source):
c = TCanvas(source,source,1200,1200)
graphDt = self.fileHandler.getGraph('graphs/L1MuonPresent_' + source)
histAll = TH2D('hEtaPhi' + source,";#eta_{L1};#phi_{L1};#",30,-15*L1_ETA_BIN,15*L1_ETA_BIN,
144, -math.pi,math.pi)
fillGraphIn2DHist(graphDt, histAll)
###
'''
Temporary stuff to check the eta coordinates in the graphs
'''
x = Double(0)
y = Double(0)
listeDt = []
for i in range(0,graphDt.GetN()):
graphDt.GetPoint(i,x,y)
listeDt.append(float(x))
histAll.SetStats(0)
histAll.Draw('colz')
c.Update()
setupAxes(histAll)
label = self.drawLabel()
c.Update()
return c,histAll,label
def plotMatchedAndNotMatchedPerWheel(self):
resHo = self.plotEnergyPerWheel('horeco')
resHoMatched = self.plotEnergyPerWheel('L1MuonWithHoMatchAboveThr')
cTogether = TCanvas('cTogether','Matched and not Matched',1800,500)
cTogether.Divide(4,1)
plotTitles = [
'Wheel -1',
'Wheel 0 (-)',
'Wheel 0 (+)',
'Wheel +1',
]
for i in range(0,4):
cTogether.cd(i+1).SetLogy()
resHo[i].SetTitle(plotTitles[i] + ';E_{Rec} / GeV;fraction of MIP peak')
#resHo[i].GetXaxis().SetRangeUser(-1,6)
maxBin = resHoMatched[i].GetMaximumBin()#resHo[i].FindBin()
resHo[i].Scale(1/resHo[i].GetBinContent(maxBin))
resHo[i].SetStats(0)
resHo[i].Draw()
setupAxes(resHo[i])
#resHo[i].GetYaxis().SetRangeUser(4e-3,2)
resHoMatched[i].Scale(1/resHoMatched[i].GetBinContent(maxBin))
resHoMatched[i].Draw('same')
cTogether.Update()
cTogether.SaveAs('plots/energyPerWheelTogether.root')
return cTogether,resHo, resHoMatched
def plotHoDigiMatchesPerDetId(self):
canvas = TCanvas('canvasDigiMatchesMultiplicity')
digiMatches = self.fileHandler.getHistogram('hoDigiMatchesPerDetId_Multiplicity')
setupAxes(digiMatches)
digiMatches.SetTitle('Number of matches between RecHit and Digi for a given DetId')
digiMatches.GetXaxis().SetRangeUser(0,5)
digiMatches.GetXaxis().SetTitle('Number of matches per DetId')
digiMatches.GetYaxis().SetTitle('#')
canvas.cd().SetLogy()
digiMatches.SetLineWidth(3)
digiMatches.SetLineColor(colorRwthDarkBlue)
digiMatches.Draw()
label = drawLabelCmsPrivateSimulation()
canvas.Update()
stats = digiMatches.GetListOfFunctions().FindObject("stats")
stats.SetX1NDC(.7)
stats.SetX2NDC(.9)
stats.SetY1NDC(.75)
stats.SetY2NDC(.9)
canvas.Update()
self.storeCanvas(canvas,"digiMatchesPerDetId")
return canvas,digiMatches,label
def plotPtAndPhiOfWrongBxId(self):
#Prepare canvas
canvas = TCanvas("canvasPtPhiBxWrong","PtPhiBxWrong",1200,1200)
canvas.cd().Draw()
#prepare histogram
hist = self.fileHandler.getHistogram("etaPhi/3D/BxWrongGen_EtaPhiPt")
stack = THStack(hist,"zy","2dStack","",-1,-1,-1,-1,"zy","")
#Create new histogram and add the histograms from the stack
histNew = TH2D("histPtPhiBxWrong","p_{T} vs. #phi distribution for wrong BX ID;#phi;p_{T} / 5 GeV;#",80,-3.2,3.2,40,0,200)
histNew.GetYaxis().SetTitleOffset(1.2)
for i in stack.GetHists():
histNew.Add(i)
gStyle.SetPalette(1)
histNew.SetStats(0)
setupAxes(histNew)
histNew.Draw('COLZ')
canvas.Update()
palette = histNew.FindObject("palette")
palette.SetX1NDC(0.9)
palette.SetX2NDC(0.92)
#add label
label = getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
self.storeCanvas(canvas,"bxWrongPtPhi")
return canvas,hist,stack,histNew,label
def makeCoordinatePlot(self, source):
c = TCanvas(source, source, 1200, 1200)
graphDt = self.fileHandler.getGraph('graphs/L1MuonPresent_' + source)
histAll = TH2D('hEtaPhi' + source, ";#eta_{L1};#phi_{L1};#", 30,
-15 * L1_ETA_BIN, 15 * L1_ETA_BIN, 144, -math.pi,
math.pi)
fillGraphIn2DHist(graphDt, histAll)
###
'''
Temporary stuff to check the eta coordinates in the graphs
'''
x = Double(0)
y = Double(0)
listeDt = []
for i in range(0, graphDt.GetN()):
graphDt.GetPoint(i, x, y)
listeDt.append(float(x))
histAll.SetStats(0)
histAll.Draw('colz')
c.Update()
setupAxes(histAll)
label = self.drawLabel()
c.Update()
return c, histAll, label
def plotEtaPhiForDeltaPhiOne(self):
canvas = TCanvas("cEtaPhiDeltaPhiOne","Eta Phi For DPhi 1",1200,1200)
graph = self.fileHandler.getGraph('graphs/averageEnergyDeltaPhi1')
halfbinwidth = L1_PHI_BIN/2.
hist = TH2D('hEtaPhiDeltaPhi1',"#eta#phi of #Delta#phi=1 evts.",30,-15*L1_ETA_BIN ,15*L1_ETA_BIN,
289, -math.pi - halfbinwidth,math.pi + halfbinwidth)
x = Double(0)
y = Double(0)
for i in range(0,graph.GetN()):
graph.GetPoint(i,x,y)
hist.Fill(x,y)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-1,1)
hist.SetTitle(hist.GetTitle() + ';#eta;#phi;Entries')
setupAxes(hist)
hist.Draw('colz')
canvas.Update()
setupPalette(hist)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas, 'etaPhiForDeltaPhiOne')
canvas.SaveAs('plots/etaPhiForDeltaPhiOne.pdf')
return canvas,hist,label
def plotQualityCodesStacked(gridSize):
gridString = gridSizeDict.get(gridSize)
c = TCanvas('cQualityCodes' + gridString + 'Stacked','Stacked QC ' + gridString,600,0,800,600)
c.SetLogy()
c.cd().SetBottomMargin(0.15)
c.cd().SetRightMargin(0.20)
qualityCodes = fileHandler.getHistogram('hoMuonAnalyzer/multiplicity/L1MuonQualityCodes' + gridString + '_Multiplicity')
qualityCodesFail = fileHandler.getHistogram('hoMuonAnalyzer/multiplicity/L1MuonQualityCodes' + gridString + 'Fail_Multiplicity')
countQualityCodes = fileHandler.getHistogram('hoMuonAnalyzer/multiplicity/L1MuonAllQualityCodes_Multiplicity')
countQualityCodesTruth = fileHandler.getHistogram('hoMuonAnalyzer/multiplicity/L1MuonTruthAllQualityCodes_Multiplicity')
print
cli.output('Sanity check for quality code counts')
for i in range(1,8):
nTotalHistogram = countQualityCodes.GetBinContent(countQualityCodes.FindBin(i))
nFail = qualityCodesFail.GetBinContent(qualityCodesFail.FindBin(i))
nPass = qualityCodes.GetBinContent(qualityCodes.FindBin(i))
nSummed = nFail + nPass
print
cli.output('NTotal: %d\t\tNSummed: %d' % (nTotalHistogram,nSummed))
cli.output('Sanity check: %s'% (CliColors.OKBLUE + 'OK' + CliColors.ENDC if nTotalHistogram == nSummed else CliColors.FAIL + 'FAIL' + CliColors.ENDC) )
print
if nTotalHistogram:
qualityCodes.SetBinContent(qualityCodes.FindBin(i),nPass/float(nTotalHistogram))
qualityCodesFail.SetBinContent(qualityCodesFail.FindBin(i),nFail/float(nTotalHistogram))
stack = THStack("hstack","Quality Codes in matching to HO (" + gridString + ");;rel. fraction")
qualityCodes.SetLineColor(colorRwthDarkBlue)
qualityCodes.SetFillColor(colorRwthDarkBlue)
qualityCodes.SetFillStyle(3002)
qualityCodesFail.SetFillColor(colorRwthMagenta)
qualityCodesFail.SetLineColor(colorRwthMagenta)
qualityCodesFail.SetFillStyle(3002)
stack.Add(qualityCodes)
stack.Add(qualityCodesFail)
stack.Draw()
stack.GetXaxis().SetRangeUser(0,8)
#Label the bins with the meaning of the quality code
for i in range(1,8):
stack.GetXaxis().SetBinLabel(stack.GetXaxis().FindBin(i),qualityCodeDict.get(i))
legend = TLegend(0.82,0.75,0.99,0.9)
legend.AddEntry(qualityCodes,"Passed","f")
legend.AddEntry(qualityCodesFail,"Failed","f")
legend.Draw()
label = drawLabelCmsPrivateSimulation(x1ndc=0.5,y1ndc=0.9,x2ndc=0.8,y2ndc=0.93)
setupAxes(stack)
c.Update()
c.SaveAs('plots/efficiency/qualityCodesStacked' + gridString + '.pdf')
return stack,c,qualityCodes,qualityCodesFail,legend,label
def get3x3MatchingPlot(self,hist3x3,hist3x3Tight,histTitle):
eff3x3 = self.fileHandler.getHistogram(hist3x3)
eff3x3Tight = self.fileHandler.getHistogram(hist3x3Tight)
c = TCanvas(histTitle,histTitle,900,900)
c.SetBottomMargin(.12)
eff3x3.SetMarkerColor(colorRwthDarkBlue)
eff3x3.SetLineColor(colorRwthDarkBlue)
eff3x3.SetMarkerStyle(20)
eff3x3.SetTitle(histTitle)
eff3x3Tight.SetMarkerColor(colorRwthMagenta)
eff3x3Tight.SetLineColor(colorRwthMagenta)
eff3x3Tight.SetMarkerStyle(21)
eff3x3.Draw('')
eff3x3Tight.Draw('same')
c.Update()
setupAxes(eff3x3)
setupAxes(eff3x3Tight)
eff3x3.GetPaintedGraph().GetXaxis().SetTitleOffset(.8)
eff3x3.GetPaintedGraph().GetYaxis().SetTitleOffset(.68)
legend = TLegend(0.25,0.2,0.83,0.33)
return c,eff3x3,eff3x3Tight,legend
def plot1DEMaxAroundL1(self):
'''
eta[P,M][2,1,0]phi[P,M][2,1,0]_averageEnergyAroundPoint
Central tile is central
'''
histList = []
fitList = []
labelList = []
canvas = TCanvas('canvas1DEMax','1D EMax',1200,1200)
for p in reversed(range(-2,3)):
for e in range(-2,3):
if e == 0 and p == 0:
histList.append(self.fileHandler.getHistogram('etaPhi/energy1D/central_averageEMaxAroundPoint' + self.key))
else:
histName = ('etaPhi/energy1D/eta%s%dPhi%s%d_averageEMaxAroundPoint' + self.key) % ('P' if e >= 0 else 'M',abs(e),'P' if p >= 0 else 'M',abs(p))
histList.append(self.fileHandler.getHistogram(histName))
canvas.Divide(5,5)
for i,hist in enumerate(histList):
canvas.cd(i+1).SetLogy()
hist.GetXaxis().SetRangeUser(-0.5,4)
hist.SetLineWidth(3)
setupAxes(hist)
hist.Draw()
fit = TF1('fit%d' % (i),'landau',0.5,2)
hist.Fit(fit,'RQ')
label = TPaveText(0.6,0.7,0.9,0.9,"NDC")
label.AddText('MPV: %5.2f' % (fit.GetParameter(1)))
label.Draw()
labelList.append(label)
fitList.append(fit)
canvas.Update()
self.storeCanvas(canvas, '1DEMaxPlots')
return histList,canvas,fitList,labelList
def plotEtaPhiForDeltaPhiOne(self):
canvas = TCanvas("cEtaPhiDeltaPhiOne", "Eta Phi For DPhi 1", 1200,
1200)
graph = self.fileHandler.getGraph('graphs/averageEnergyDeltaPhi1')
halfbinwidth = L1_PHI_BIN / 2.
hist = TH2D('hEtaPhiDeltaPhi1', "#eta#phi of #Delta#phi=1 evts.", 30,
-15 * L1_ETA_BIN, 15 * L1_ETA_BIN, 289,
-math.pi - halfbinwidth, math.pi + halfbinwidth)
x = Double(0)
y = Double(0)
for i in range(0, graph.GetN()):
graph.GetPoint(i, x, y)
hist.Fill(x, y)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-1, 1)
hist.SetTitle(hist.GetTitle() + ';#eta;#phi;Entries')
setupAxes(hist)
hist.Draw('colz')
canvas.Update()
setupPalette(hist)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas, 'etaPhiForDeltaPhiOne')
canvas.SaveAs('plots/etaPhiForDeltaPhiOne.pdf')
return canvas, hist, label
def plotAverageEnergyAroundL1(self):
canvas = TCanvas('canvasAverageEnergy','Average energy',900,900)
canvas.cd().SetLogz()
hSum = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_SummedEnergy')
hCounter = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_Counter')
for i in range(0,hSum.GetNbinsX()):
for j in range(0,hSum.GetNbinsY()):
if hCounter.GetBinContent(hCounter.GetBin(i,j)) != 0:
hSum.SetBinContent(hSum.GetBin(i,j),hSum.GetBinContent(hSum.GetBin(i,j))/hCounter.GetBinContent(hCounter.GetBin(i,j)))
pass
hSum.GetXaxis().SetRangeUser(-0.6,0.6)
hSum.GetYaxis().SetRangeUser(-0.6,0.6)
# hSum.SetStats(0)
# hSum.GetXaxis().SetTitle('#Delta#eta')
# hSum.GetYaxis().SetTitle('#Delta#phi')
hSum.GetZaxis().SetTitle('Reconstructed Energy / GeV')
hSum.SetTitle('Average Energy in HO tiles around L1 direction;#Delta#eta;#Delta#phi;Reconstructed Energy / GeV')
hSum.Draw('colz')
# hCounter.Draw('same,text')
label = self.drawLabel()
canvas.Update()
#Setup plot style
setupAxes(hSum)
setStatBoxOptions(hSum,1100)
setStatBoxPosition(hSum)
setupPalette(hSum)
canvas.Update()
self.storeCanvas(canvas,'averageEnergy')
return canvas,hSum,label,hCounter,drawHoBoxes(canvas)
def plotMatchedAndNotMatchedPerWheel(self):
resHo = self.plotEnergyPerWheel('horeco')
resHoMatched = self.plotEnergyPerWheel('L1MuonWithHoMatchAboveThr')
cTogether = TCanvas('cTogether','Matched and not Matched',1800,500)
cTogether.Divide(4,1)
plotTitles = [
'Wheel -1',
'Wheel 0 (-)',
'Wheel 0 (+)',
'Wheel +1',
]
for i in range(0,4):
cTogether.cd(i+1).SetLogy()
resHo[i].SetTitle(plotTitles[i] + ';E_{Rec} / GeV;fraction of MIP peak')
#resHo[i].GetXaxis().SetRangeUser(-1,6)
maxBin = resHoMatched[i].GetMaximumBin()#resHo[i].FindBin()
resHo[i].Scale(1/resHo[i].GetBinContent(maxBin))
resHo[i].SetStats(0)
resHo[i].Draw()
setupAxes(resHo[i])
#resHo[i].GetYaxis().SetRangeUser(4e-3,2)
resHoMatched[i].Scale(1/resHoMatched[i].GetBinContent(maxBin))
resHoMatched[i].Draw('same')
cTogether.Update()
cTogether.SaveAs('plots/energyPerWheelTogether.root')
return cTogether,resHo, resHoMatched
def plotHoTime(self):
c3 = TCanvas("c3","HO Time",1200,1200)
skipNoisePlot = False
if not skipNoisePlot:
c3.Divide(1,2)
c3.cd(1).SetLogy()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTime = self.fileHandler.getHistogram('hoRecHits_Time')
hHoTime.SetStats(0)
hHoTime.SetTitle("Time distribution for all HO Rec Hits")
hHoTime.SetLineColor(colorRwthDarkBlue)
hHoTime.SetLineWidth(3)
hHoTime.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTimeAboveThr = self.fileHandler.getHistogram('hoRecHitsAboveThr_Time')
c3.cd(2).SetLogy()
hHoTimeAboveThr.SetStats(0)
hHoTimeAboveThr.SetTitle("Time distribution for HO Rec Hits > 0.2 GeV")
hHoTimeAboveThr.SetLineColor(colorRwthDarkBlue)
hHoTimeAboveThr.SetLineWidth(3)
setupAxes(hHoTimeAboveThr)
hHoTimeAboveThr.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
self.debug(80*'#')
self.debug( 'Integral of HO > 0.2 GeV time histogram:')
self.debug( hHoTimeAboveThr.Integral())
self.debug('')
xLow = -5
xHigh = 5
histogramBetween = hHoTimeAboveThr.Integral(hHoTimeAboveThr.FindBin(xLow),hHoTimeAboveThr.FindBin(xHigh))
histogramTotal = float(hHoTimeAboveThr.Integral())
self.debug( 'Histogram integral between %.f ns and %.f ns' % (xLow,xHigh) )
self.debug( '%d/%d => %.2f +/- %f' % (histogramBetween,histogramTotal
,histogramBetween/histogramTotal,calcSigma(histogramBetween, histogramTotal)))
self.debug( 80*'#')
fit = TF1("fit","gaus",-10,10)
hHoTimeAboveThr.Fit(fit)
pText = TPaveText(0.7,0.8,0.9,0.9,'NDC')
pText.AddText('Mean: %.2f ns' % (fit.GetParameter(1)))
pText.AddText('#sigma: %.2f ns' % (fit.GetParameter(2)))
pText.SetBorderSize(1)
pText.SetFillColor(0)
pText.Draw()
c3.Update()
self.storeCanvas(c3,"hoTime")
return c3,label,hHoTimeAboveThr,pText
def plotQualityCodesStacked(self,gridSize):
gridString = self.gridSizeDict.get(gridSize)
c = TCanvas('cQualityCodes' + gridString + 'Stacked','Stacked QC ' + gridString,600,0,800,600)
c.cd().SetBottomMargin(0.15)
c.cd().SetRightMargin(0.20)
qualityCodes = self.fileHandler.getHistogram('multiplicity/L1MuonQualityCodes' + gridString + '_Multiplicity')
qualityCodesFail = self.fileHandler.getHistogram('multiplicity/L1MuonQualityCodes' + gridString + 'Fail_Multiplicity')
countQualityCodes = self.fileHandler.getHistogram('multiplicity/L1MuonAllQualityCodes_Multiplicity')
self.commandLine.output('Sanity check for quality code counts')
for i in range(1,8):
nTotalHistogram = countQualityCodes.GetBinContent(countQualityCodes.FindBin(i))
nFail = qualityCodesFail.GetBinContent(qualityCodesFail.FindBin(i))
nPass = qualityCodes.GetBinContent(qualityCodes.FindBin(i))
nSummed = nFail + nPass
print
self.commandLine.output('NTotal: %d\t\tNSummed: %d' % (nTotalHistogram,nSummed))
self.commandLine.output('Sanity check: %s'% (CliColors.OKBLUE + 'OK' + CliColors.ENDC if nTotalHistogram == nSummed else CliColors.FAIL + 'FAIL' + CliColors.ENDC) )
print
if nTotalHistogram:
qualityCodes.SetBinContent(qualityCodes.FindBin(i),nPass/float(nTotalHistogram))
qualityCodesFail.SetBinContent(qualityCodesFail.FindBin(i),nFail/float(nTotalHistogram))
stack = THStack("hstack",";;rel. fraction")
qualityCodes.SetLineColor(colorRwthDarkBlue)
qualityCodes.SetFillColor(colorRwthDarkBlue)
qualityCodes.SetFillStyle(3002)
qualityCodesFail.SetFillColor(colorRwthMagenta)
qualityCodesFail.SetLineColor(colorRwthMagenta)
qualityCodesFail.SetFillStyle(3002)
stack.Add(qualityCodes)
stack.Add(qualityCodesFail)
stack.Draw()
stack.GetXaxis().SetRangeUser(0,8)
#Label the bins with the meaning of the quality code
for i in range(1,8):
stack.GetXaxis().SetBinLabel(stack.GetXaxis().FindBin(i),self.qualityCodeDict.get(i))
legend = TLegend(0.1,0.8,0.3,0.95)
legend.AddEntry(qualityCodes,"Passed","f")
legend.AddEntry(qualityCodesFail,"Failed","f")
legend.Draw()
setupAxes(stack)
stack.SetMinimum(0.75)
c.Update()
self.storeCanvas(c, 'qualityCodesStacked' + gridString)
return stack,c,qualityCodes,qualityCodesFail,legend
def plotHoTime(self):
c3 = TCanvas("c3","HO Time",1200,1200)
skipNoisePlot = False
if not skipNoisePlot:
c3.Divide(1,2)
c3.cd(1).SetLogy()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTime = self.fileHandler.getHistogram('hoRecHits_Time')
hHoTime.SetStats(0)
hHoTime.SetTitle("Time distribution for all HO Rec Hits")
hHoTime.SetLineColor(colorRwthDarkBlue)
hHoTime.SetLineWidth(3)
hHoTime.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTimeAboveThr = self.fileHandler.getHistogram('hoRecHitsAboveThr_Time')
c3.cd(2).SetLogy()
hHoTimeAboveThr.SetStats(0)
hHoTimeAboveThr.SetTitle("Time distribution for HO Rec Hits > 0.2 GeV")
hHoTimeAboveThr.SetLineColor(colorRwthDarkBlue)
hHoTimeAboveThr.SetLineWidth(3)
setupAxes(hHoTimeAboveThr)
hHoTimeAboveThr.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
self.debug(80*'#')
self.debug( 'Integral of HO > 0.2 GeV time histogram:')
self.debug( hHoTimeAboveThr.Integral())
self.debug('')
xLow = -5
xHigh = 5
histogramBetween = hHoTimeAboveThr.Integral(hHoTimeAboveThr.FindBin(xLow),hHoTimeAboveThr.FindBin(xHigh))
histogramTotal = float(hHoTimeAboveThr.Integral())
self.debug( 'Histogram integral between %.f ns and %.f ns' % (xLow,xHigh) )
self.debug( '%d/%d => %.2f +/- %f' % (histogramBetween,histogramTotal
,histogramBetween/histogramTotal,calcSigma(histogramBetween, histogramTotal)))
self.debug( 80*'#')
fit = TF1("fit","gaus",-10,10)
hHoTimeAboveThr.Fit(fit)
pText = TPaveText(0.7,0.8,0.9,0.9,'NDC')
pText.AddText('Mean: %.2f ns' % (fit.GetParameter(1)))
pText.AddText('#sigma: %.2f ns' % (fit.GetParameter(2)))
pText.SetBorderSize(1)
pText.SetFillColor(0)
pText.Draw()
c3.Update()
self.storeCanvas(c3,"hoTime")
return c3,label,hHoTimeAboveThr,pText
def makeQuantilePlot(self,dataSet):
c = TCanvas(dataSet + 'quantiles')
graphMean = getTGraphErrors(self.cached_data['x']['values'],
self.cached_data[dataSet]['mean'],
ey = self.cached_data[dataSet]['meanError'],
ex=self.cached_data['x']['errors'])
setupAxes(graphMean)
graphMean.SetMarkerStyle(20)
graphMean.SetMarkerColor(colorRwthDarkBlue)
graphMean.SetLineColor(colorRwthDarkBlue)
graphMedian = getTGraphErrors(self.cached_data['x']['values'],
self.cached_data[dataSet]['median'])
graphMedian.SetMarkerStyle(21)
graphMedian.SetMarkerColor(colorRwthMagenta)
graphMedian.SetLineColor(colorRwthMagenta)
graphMedian.SetFillColor(colorRwthMagenta)
graphQ50 = getTGraphErrors(self.cached_data['x']['values'],
self.cached_data[dataSet]['q50'])
graphQ50.SetMarkerStyle(22)
graphQ50.SetMarkerColor(colorRwthLila)
graphQ50.SetLineColor(colorRwthLila)
graphShape68 = TGraph()
graphShape68.SetName(dataSet)
graphShape68.SetFillStyle(1001)
graphShape68.SetFillColorAlpha(colorRwthGruen,.75)
graphShape68.SetLineColorAlpha(colorRwthGruen,.75)
for i in zip(self.cached_data['x']['values'],self.cached_data[dataSet]['q16']):
graphShape68.SetPoint(graphShape68.GetN(),i[0],i[1])
for i in zip(reversed(self.cached_data['x']['values']),reversed(self.cached_data[dataSet]['q84'])):
graphShape68.SetPoint(graphShape68.GetN(),i[0],i[1])
graphShape68.GetYaxis().SetRangeUser(0,200)
graphShape68.SetTitle(";p_{T,Reco} / GeV;p_{T,L1} / GeV")#"Mean, Median, and Quantiles of " + dataSet + " p_{T};p_{T,Reco} / GeV;p_{T,L1} / GeV")
setupAxes(graphShape68)
graphShape68.Draw('a f')
graphMean.Draw('same p')
graphMedian.Draw('same,l')
graphQ50.Draw('same,l')
legend = getLegend(y1=.75,y2 = .95,x1=.1,x2=.5)
legend.AddEntry(graphMean,dataSet + ' p_{T} Mean','ep')
legend.AddEntry(graphMedian,dataSet + ' p_{T} Median','l')
legend.AddEntry(graphShape68,dataSet + ' p_{T} Q_{25} - Q_{75}','f')
legend.AddEntry(graphQ50,dataSet + ' p_{T} Q_{50}','l')
legend.Draw()
c.Update()
self.storeCanvas(c,'quantiles_' + self.truthTag + '_' + dataSet.replace(' ','_').replace('!','Not'), marginRight = .02)
return c,graphMean,legend,graphMedian,graphShape68,graphQ50
def plotFractionsVsEta(self,graph,title,saveName):
c2 = TCanvas(saveName + '_EtaFractions',"saveName",0,600,800,600)
c2.cd().SetLeftMargin(.15)
graph.SetTitle(';i#eta;rel. Fraction in [-12.5,12.5]ns')
graph.Draw('ap')
c2.Update()
setupAxes(graph)
self.storeCanvas(c2,saveName,marginLeft=.15,marginRight=.02)
return c2,graph
def plotFractionsVsEta(self, graph, title, saveName):
c2 = TCanvas(saveName + '_EtaFractions')
graph.SetTitle(title + ';i#eta;rel. Fraction in [-12.5,12.5]ns')
graph.Draw('ap')
c2.Update()
setupAxes(graph)
label = self.drawLabel()
self.storeCanvas(c2, saveName)
return c2, graph, label
def compareL1Count(self):
hSim = self.fileHandlerSimulation.getHistogram('L1MuonPresent_Pt')
hSimPu = self.fileHandlerSimulationPu.getHistogram('L1MuonPresent_Pt')
hData = self.fileHandler.getHistogram('L1MuonPresent_Pt')
# hSimPu.Sumw2()
# hSim.Sumw2()
hSim.Scale(1 / hSim.Integral(), 'width')
hSimPu.Scale(1 / hSimPu.Integral(), 'width')
hData.Scale(1 / hData.Integral(), 'width')
c = TCanvas('cNvsPt', 'Nvs pt')
c.cd().SetLeftMargin(0.17)
hSim.SetMarkerStyle(20)
hSim.SetMarkerColor(colorRwthLila)
hSim.SetLineColor(colorRwthLila)
hSim.GetYaxis().SetRangeUser(0, 0.03)
hSimPu.SetMarkerStyle(21)
hSimPu.SetMarkerColor(colorRwthOrange)
hSimPu.SetLineColor(colorRwthOrange)
hSimPu.SetTitle(
'Normalized distribution of p_{T};p_{T,L1};normalized fraction / binwidth'
)
hSimPu.SetStats(0)
hSimPu.GetXaxis().SetRangeUser(0, 20)
hSimPu.GetYaxis().SetTitle("Normalized fraction / #frac{1}{GeV}")
hSimPu.Draw('lp')
hSim.Draw('same,lp')
setupAxes(hSimPu)
hSimPu.GetYaxis().SetTitleOffset(1.35)
hData.SetMarkerStyle(22)
hData.SetMarkerColor(colorRwthTuerkis)
# hData.Draw('same,p')
legend = getLegend(y1=0.65, y2=.9)
legend.AddEntry(hSim, 'Sim', 'lp')
legend.AddEntry(hSimPu, 'Sim, PU52', 'lp')
# legend.AddEntry(hData,'Data','ep')
legend.Draw()
label = self.drawLabel()
c.Update()
self.storeCanvas(c,
'l1CountComparison/l1CountNormalized',
markPosition={
'x1ndc': 0.16,
'y1ndc': 0.898,
'x2ndc': 0.319,
'y2ndc': 0.940
})
return hSim, c, hSimPu, hData, legend, label
def plotEtaPhiForTightL1(self):
canvas = TCanvas("cEtaPhi","Eta Phi",1200,900)
graphAll = self.fileHandler.getGraph('graphs/patTightToL1Muons')
graphWithHo = self.fileHandler.getGraph('graphs/patTightToL1Muons3x3')
halfPhiBinwidth = L1_PHI_BIN/2.
l1BinOffset = L1_PHI_BIN*3/4.
histAll = TH2D('hEtaPhiAll',"",30,-15*L1_ETA_BIN ,15*L1_ETA_BIN,
144, -math.pi,math.pi)
histWithHo = TH2D('hEtaPhiWithHO',"",30,-15*L1_ETA_BIN,15*L1_ETA_BIN,
144, -math.pi,math.pi)
x = Double(0)
y = Double(0)
for i in range(0,graphAll.GetN()):
graphAll.GetPoint(i,x,y)
histAll.Fill(x,y)
for i in range(0,graphWithHo.GetN()):
graphWithHo.GetPoint(i,x,y)
histWithHo.Fill(x,y)
canvas.cd().SetRightMargin(.15)
histAll.SetStats(0)
histAll.GetXaxis().SetRangeUser(-1,1)
histAll.SetTitle(histAll.GetTitle() + ';#eta_{L1};#phi_{L1};Entries')
histAll.Draw('colz')
canvas.Update()
setupAxes(histAll)
setupPalette(histAll,x2ndc=.87)
#label1 = self.drawLabel(x1ndc=.55,x2ndc=.85)
histAll.GetZaxis().SetTitleOffset(1.)
histAll.GetZaxis().SetRangeUser(0,1250)
canvas.Update()
canvas2 = TCanvas("cEtaPhiAndHo","Eta Phi And HO",1200,900)
canvas2.cd().SetRightMargin(.15)
histWithHo.SetStats(0)
histWithHo.GetXaxis().SetRangeUser(-1,1)
histWithHo.SetTitle(histWithHo.GetTitle() + ';#eta_{L1};#phi_{L1};Entries')
histWithHo.Draw('colz')
#label2 = self.drawLabel(x1ndc=.55,x2ndc=.85)
histWithHo.GetZaxis().SetRangeUser(0,1250)
canvas2.Update()
setupAxes(histWithHo)
setupPalette(histWithHo,x2ndc=.87)
histWithHo.GetZaxis().SetTitleOffset(1.)
canvas2.Update()
self.storeCanvas(canvas, 'etaPhiForTightL1',marginRight=.15)
self.storeCanvas(canvas2, 'etaPhiForTightL1AndHo',marginRight=.15)
return canvas,histAll,histWithHo,canvas2
def plotHoTimeLog(self):
c3 = TCanvas("c3Log","HO Time Log",1200,1200)
skipNoisePlot = True
if not skipNoisePlot:
c3.Divide(1,2)
c3.cd(1).SetLogy()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTime = self.fileHandler.getHistogram('hoRecHits_Time')
hHoTime.SetStats(0)
hHoTime.SetTitle()
hHoTime.SetLineColor(colorRwthDarkBlue)
hHoTime.SetLineWidth(3)
hHoTime.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTimeAboveThr = self.fileHandler.getHistogram('hoRecHitsAboveThr_Time')
c3.cd(2).SetLogy()
hHoTimeAboveThr.SetStats(0)
hHoTimeAboveThr.SetTitle('')
hHoTimeAboveThr.SetLineColor(colorRwthDarkBlue)
hHoTimeAboveThr.SetLineWidth(3)
hHoTimeAboveThr.GetXaxis().SetRangeUser(-50,50)
setupAxes(hHoTimeAboveThr)
hHoTimeAboveThr.Draw()
fit = TF1("fit","gaus",-10,10)
fit.SetParameter(1,0)
fit.SetParameter(2,1)
fit.SetLineWidth(3)
hHoTimeAboveThr.Fit(fit,'','R',-12.5,7)
self.debug(80*'#')
self.debug('Chi^2: %5.2f' % fit.GetChisquare())
self.debug('NDF: %d' % fit.GetNDF())
self.debug(80*'#')
legend = getLegend(x1=.1, y1=.85, x2=.415, y2=.95)
legend.AddEntry(hHoTimeAboveThr,'HO (E_{Rec} > 0.2 GeV)','l')
legend.AddEntry(fit,'Fit','l')
legend.Draw()
pText = TPaveText(0.78,0.85,0.97,0.95,'NDC')
pText.AddText('Mean: %.2f ns' % (fit.GetParameter(1)))
pText.AddText('#sigma: %.2f ns' % (fit.GetParameter(2)))
pText.SetBorderSize(1)
pText.SetFillColor(0)
pText.Draw()
c3.Update()
self.storeCanvas(c3,"hoTimeLog",marginRight=.03)
return c3,pText,hHoTimeAboveThr,legend
def makeIntegralPlot(self, datasetName):
cControlPlot = TCanvas('cControlPlots', 'control plot integral')
xData = [
self.cached_data['x']['values'], self.cached_data['x']['errors']
]
dataAllL1, errorAllL1 = self.getHistogramIntegralsAsList(
'l1PtResolution/' + datasetName)
dataMatch, errorMatch = self.getHistogramIntegralsAsList(
'l1PtResolution/' + datasetName + "HoMatch")
dataNoMatch, errorNoMatch = self.getHistogramIntegralsAsList(
'l1PtResolution/' + datasetName + "NotHoMatch")
graphIntegralsAllL1 = getTGraphErrors(xData[0],
dataAllL1,
ex=xData[1],
ey=errorAllL1)
graphIntegralsMatch = getTGraphErrors(xData[0],
dataMatch,
ex=xData[1],
ey=errorMatch)
graphIntegralsNoMatch = getTGraphErrors(xData[0],
dataNoMatch,
ex=xData[1],
ey=errorNoMatch)
graphIntegralsAllL1.SetMarkerStyle(21)
graphIntegralsAllL1.SetTitle('Integrals of ' + datasetName +
';p_{T} / GeV;# entries')
graphIntegralsAllL1.SetMarkerColor(colorRwthDarkBlue)
graphIntegralsAllL1.SetLineColor(colorRwthDarkBlue)
graphIntegralsMatch.SetMarkerStyle(20)
graphIntegralsMatch.SetMarkerColor(colorRwthMagenta)
graphIntegralsMatch.SetLineColor(colorRwthMagenta)
graphIntegralsNoMatch.SetMarkerStyle(34)
graphIntegralsNoMatch.SetMarkerColor(colorRwthTuerkis)
graphIntegralsNoMatch.SetLineColor(colorRwthTuerkis)
graphIntegralsAllL1.Draw('ap')
graphIntegralsMatch.Draw('samep')
graphIntegralsNoMatch.Draw('samep')
label = self.drawLabel()
setupAxes(graphIntegralsAllL1)
legend2 = getLegend(y2=.9)
legend2.AddEntry(graphIntegralsAllL1, datasetName, 'ep')
legend2.AddEntry(graphIntegralsMatch, datasetName + " And HO", 'ep')
legend2.AddEntry(graphIntegralsNoMatch, datasetName + " !HO", 'ep')
legend2.Draw()
cControlPlot.Update()
self.storeCanvas(cControlPlot, 'rmsVsPt_integrals' + datasetName)
return label, legend2, graphIntegralsMatch, graphIntegralsNoMatch, cControlPlot, graphIntegralsAllL1
def plotEtaPhiForAllL1(self):
canvas = TCanvas("cEtaPhi", "Eta Phi", 1200, 1200)
canvas.Divide(2, 1)
graphAll = self.fileHandler.getGraph('graphs/L1MuonPresent')
graphWithHo = self.fileHandler.getGraph('graphs/L1Muon3x3')
halfPhiBinwidth = L1_PHI_BIN / 2.
halfEtaBinwidth = L1_ETA_BIN / 2.
histAll = TH2D('hEtaPhiAll', "#eta#phi for all L1", 30,
-15 * L1_ETA_BIN, 15 * L1_ETA_BIN, 289,
-math.pi - halfPhiBinwidth, math.pi + halfPhiBinwidth)
histWithHo = TH2D('hEtaPhiWithHO', "#eta#phi L1 + HO (3x3)", 30,
-15 * L1_ETA_BIN, 15 * L1_ETA_BIN, 289,
-math.pi - halfPhiBinwidth,
math.pi + halfPhiBinwidth)
x = Double(0)
y = Double(0)
for i in range(0, graphAll.GetN()):
graphAll.GetPoint(i, x, y)
histAll.Fill(x, y)
for i in range(0, graphWithHo.GetN()):
graphWithHo.GetPoint(i, x, y)
histWithHo.Fill(x, y)
canvas.cd(1)
histAll.SetStats(0)
histAll.GetXaxis().SetRangeUser(-1, 1)
histAll.SetTitle(histAll.GetTitle() + ';#eta;#phi;Entries')
setupAxes(histAll)
histAll.Draw('colz')
label1 = self.drawLabel()
canvas.Update()
setupPalette(histAll)
canvas.cd(2)
histWithHo.SetStats(0)
histWithHo.GetXaxis().SetRangeUser(-1, 1)
histWithHo.SetTitle(histWithHo.GetTitle() + ';#eta;#phi;Entries')
setupAxes(histWithHo)
histWithHo.Draw('colz')
label2 = self.drawLabel()
canvas.Update()
setupPalette(histWithHo)
canvas.Update()
canvas.SaveAs('plots/etaPhiForAllL1.pdf')
return canvas, histAll, histWithHo, label1, label2
def plotEtaPhiForAllL1(self):
canvas = TCanvas("cEtaPhi","Eta Phi",1200,1200)
canvas.Divide(2,1)
graphAll = self.fileHandler.getGraph('graphs/L1MuonPresent')
graphWithHo = self.fileHandler.getGraph('graphs/L1Muon3x3')
halfPhiBinwidth = L1_PHI_BIN/2.
halfEtaBinwidth = L1_ETA_BIN/2.
histAll = TH2D('hEtaPhiAll',"#eta#phi for all L1",30,-15*L1_ETA_BIN ,15*L1_ETA_BIN,
289, -math.pi - halfPhiBinwidth,math.pi + halfPhiBinwidth)
histWithHo = TH2D('hEtaPhiWithHO',"#eta#phi L1 + HO (3x3)",30,-15*L1_ETA_BIN,15*L1_ETA_BIN,
289, -math.pi - halfPhiBinwidth,math.pi + halfPhiBinwidth)
x = Double(0)
y = Double(0)
for i in range(0,graphAll.GetN()):
graphAll.GetPoint(i,x,y)
histAll.Fill(x,y)
for i in range(0,graphWithHo.GetN()):
graphWithHo.GetPoint(i,x,y)
histWithHo.Fill(x,y)
canvas.cd(1)
histAll.SetStats(0)
histAll.GetXaxis().SetRangeUser(-1,1)
histAll.SetTitle(histAll.GetTitle() + ';#eta;#phi;Entries')
setupAxes(histAll)
histAll.Draw('colz')
label1 = self.drawLabel()
canvas.Update()
setupPalette(histAll)
canvas.cd(2)
histWithHo.SetStats(0)
histWithHo.GetXaxis().SetRangeUser(-1,1)
histWithHo.SetTitle(histWithHo.GetTitle() + ';#eta;#phi;Entries')
setupAxes(histWithHo)
histWithHo.Draw('colz')
label2 = self.drawLabel()
canvas.Update()
setupPalette(histWithHo)
canvas.Update()
canvas.SaveAs('plots/etaPhiForAllL1.pdf')
return canvas,histAll,histWithHo,label1,label2
def plotL1PresentMultiplicity(self):
canvas = TCanvas('cL1Multiplicity')
hist = self.fileHandler.getHistogram('multiplicity/L1MuonPresent_Multiplicity')
hist.GetXaxis().SetRangeUser(0,20)
canvas.SetLogy()
hist.SetLineWidth(3)
hist.SetLineColor(colorRwthDarkBlue)
setupAxes(hist)
hist.SetTitle('L1Muon Multiplicity;# L1 Objects per event;#')
hist.Draw()
return hist,canvas
def plotHoPhiVsHoIPhi(self):
canvas = TCanvas('cHoPhiVsHoIPhi','HoPhiVsHoIPhi',1200,1200)
graph = self.fileHandler.getGraph('correlation/hoPhiVsHoIPhi')
graph.SetTitle('HO #phi vs. HO i#phi;HO i#phi;HO #phi')
graph.SetMarkerStyle(2)
setupAxes(graph)
graph.Draw('AP')
canvas.Update()
return canvas,graph
def makeNHitsPlot(self,source):
canvas = TCanvas('cNHoHitsPerL1' + source,'cNHoHitsPerL1' + source)
hist = self.fileHandler.getHistogram('multiplicity/' + source + '_Multiplicity')
hist.GetXaxis().SetRangeUser(0,50)
canvas.SetLogy()
hist.SetLineWidth(3)
hist.SetLineColor(colorRwthDarkBlue)
setupAxes(hist)
hist.SetTitle(source + 'HORecHits per L1;# possible Hits per L1Muon;#')
hist.Draw()
return hist,canvas
def plotHoPhiVsHoIPhi(self):
canvas = TCanvas('cHoPhiVsHoIPhi', 'HoPhiVsHoIPhi', 1200, 1200)
graph = self.fileHandler.getGraph('correlation/hoPhiVsHoIPhi')
graph.SetTitle('HO #phi vs. HO i#phi;HO i#phi;HO #phi')
graph.SetMarkerStyle(2)
setupAxes(graph)
graph.Draw('AP')
canvas.Update()
return canvas, graph
def makeNHitsPlot(self, source):
canvas = TCanvas('cNHoHitsPerL1' + source, 'cNHoHitsPerL1' + source)
hist = self.fileHandler.getHistogram('multiplicity/' + source +
'_Multiplicity')
hist.GetXaxis().SetRangeUser(0, 50)
canvas.SetLogy()
hist.SetLineWidth(3)
hist.SetLineColor(colorRwthDarkBlue)
setupAxes(hist)
hist.SetTitle(source + 'HORecHits per L1;# possible Hits per L1Muon;#')
hist.Draw()
return hist, canvas
def plotEtaPhiForTightL1(self):
canvas = TCanvas("cEtaPhi","Eta Phi",1200,1200)
canvas.Divide(2,1)
graphAll = self.fileHandler.getGraph('graphs/patTightToL1Muons')
graphWithHo = self.fileHandler.getGraph('graphs/patTightToL1Muons3x3')
halfPhiBinwidth = L1_PHI_BIN/2.
l1BinOffset = L1_PHI_BIN*3/4.
histAll = TH2D('hEtaPhiAll',"#eta#phi for tight L1",30,-15*L1_ETA_BIN ,15*L1_ETA_BIN,
144, -math.pi,math.pi)
histWithHo = TH2D('hEtaPhiWithHO',"#eta#phi tight L1 + HO (3x3)",30,-15*L1_ETA_BIN,15*L1_ETA_BIN,
144, -math.pi,math.pi)
x = Double(0)
y = Double(0)
for i in range(0,graphAll.GetN()):
graphAll.GetPoint(i,x,y)
histAll.Fill(x,y)
for i in range(0,graphWithHo.GetN()):
graphWithHo.GetPoint(i,x,y)
histWithHo.Fill(x,y)
canvas.cd(1)
histAll.SetStats(0)
histAll.GetXaxis().SetRangeUser(-1,1)
histAll.SetTitle(histAll.GetTitle() + ';#eta_{L1};#phi_{L1};Entries')
histAll.Draw('colz')
canvas.Update()
setupAxes(histAll)
setupPalette(histAll)
label1 = self.drawLabel()
canvas.Update()
canvas.cd(2)
histWithHo.SetStats(0)
histWithHo.GetXaxis().SetRangeUser(-1,1)
histWithHo.SetTitle(histWithHo.GetTitle() + ';#eta_{L1};#phi_{L1};Entries')
histWithHo.Draw('colz')
label2 = self.drawLabel()
canvas.Update()
setupAxes(histWithHo)
setupPalette(histWithHo)
canvas.Update()
self.storeCanvas(canvas, 'etaPhiForTightL1')
return canvas,histAll,histWithHo,label1,label2
def getIEtaIPhiPlot(self,key):
# canvas = TCanvas('cHoIEtaIPhi' + key,'HO iEta iPhi',0,50,600,500)
hoEtaPhi = self.fileHandler.getHistogram('etaPhi/' + key + '_iEtaIPhi')
hoEtaPhi.SetTitle('HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
# canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
# setupPalette(hoEtaPhi)
# label = self.drawLabel()
# canvas.Update()
return hoEtaPhi#,label,canvas
def getIEtaIPhiPlot(self, key):
# canvas = TCanvas('cHoIEtaIPhi' + key,'HO iEta iPhi',0,50,600,500)
hoEtaPhi = self.fileHandler.getHistogram('etaPhi/' + key + '_iEtaIPhi')
hoEtaPhi.SetTitle('HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
# canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
# setupPalette(hoEtaPhi)
# label = self.drawLabel()
# canvas.Update()
return hoEtaPhi #,label,canvas
def plotL1PresentMultiplicity(self):
canvas = TCanvas('cL1Multiplicity')
hist = self.fileHandler.getHistogram(
'multiplicity/L1MuonPresent_Multiplicity')
hist.GetXaxis().SetRangeUser(0, 20)
canvas.SetLogy()
hist.SetLineWidth(3)
hist.SetLineColor(colorRwthDarkBlue)
setupAxes(hist)
hist.SetTitle('L1Muon Multiplicity;# L1 Objects per event;#')
hist.Draw()
return hist, canvas
def plotL1EtaVsPatEta(self):
c, hist = self.plotL1EtaVsPatEtaFine()
graph = self.fileHandler.getGraph('graphs/l1EtaVsPatEtaNotFine')
fillGraphIn2DHist(graph, hist)
hist.SetTitle('L1Muon #eta vs. pat #eta')
c.Update()
setupAxes(hist)
setupPalette(hist)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-.8, .8)
hist.GetYaxis().SetRangeUser(-.8, .8)
c.Update()
return c, hist
def plotHoIEtaIPhiMatchedToL1(self):
canvas = TCanvas('cHoIEtaIPhiAndL1','HO iEta iPhi And L1',650,50,600,500)
hoEtaPhi = self.fileHandler.getHistogram('etaPhi/L1Muon3x3_iEtaIPhi')
hoEtaPhi.SetTitle('L1 matched to HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,"l1MatchedToHoIEtaIPhi")
return label,canvas,hoEtaPhi
def plotL1EtaVsPatEta(self):
c, hist = self.plotL1EtaVsPatEtaFine()
graph = self.fileHandler.getGraph('graphs/l1EtaVsPatEtaNotFine')
fillGraphIn2DHist(graph, hist)
hist.SetTitle('L1Muon #eta vs. pat #eta')
c.Update()
setupAxes(hist)
setupPalette(hist)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-.8,.8)
hist.GetYaxis().SetRangeUser(-.8,.8)
c.Update()
return c,hist
def plotHoIEtaIPhi(self):
canvas = TCanvas('cHoIEtaIPhi','HO iEta iPhi',0,50,600,500)
hoEtaPhi = self.fileHandler.getHistogram('hoMuonAnalyzer/etaPhi/hoRecHitsAboveThr_iEtaIPhi')
hoEtaPhi.SetTitle('HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,"hoEtaPhi")
return label,canvas,hoEtaPhi
def plotHoTimeLog(self):
c3 = TCanvas("c3Log","HO Time Log",1200,1200)
skipNoisePlot = True
if not skipNoisePlot:
c3.Divide(1,2)
c3.cd(1).SetLogy()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTime = self.fileHandler.getHistogram('hoRecHits_Time')
hHoTime.SetStats(0)
hHoTime.SetTitle("Time distribution for all HO Rec Hits")
hHoTime.SetLineColor(colorRwthDarkBlue)
hHoTime.SetLineWidth(3)
hHoTime.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTimeAboveThr = self.fileHandler.getHistogram('hoRecHitsAboveThr_Time')
c3.cd(2).SetLogy()
hHoTimeAboveThr.SetStats(0)
hHoTimeAboveThr.SetTitle("Time distribution for HO Rec Hits > 0.2 GeV")
hHoTimeAboveThr.SetLineColor(colorRwthDarkBlue)
hHoTimeAboveThr.SetLineWidth(3)
setupAxes(hHoTimeAboveThr)
hHoTimeAboveThr.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
fit = TF1("fit","gaus",-10,10)
fit.SetParameter(1,0)
fit.SetParameter(2,1)
hHoTimeAboveThr.Fit(fit,'','R',-12.5,12.5)
self.debug(80*'#')
self.debug('Chi^2: %5.2f' % fit.GetChisquare())
self.debug('NDF: %d' % fit.GetNDF())
self.debug(80*'#')
pText = TPaveText(0.7,0.8,0.9,0.9,'NDC')
pText.AddText('Mean: %.2f ns' % (fit.GetParameter(1)))
pText.AddText('#sigma: %.2f ns' % (fit.GetParameter(2)))
pText.SetBorderSize(1)
pText.SetFillColor(0)
pText.Draw()
c3.Update()
self.storeCanvas(c3,"hoTimeLog")
return c3,pText,hHoTimeAboveThr
def plotEtaPhiForTightL1(self):
canvas = TCanvas("cEtaPhi","Eta Phi",1200,1200)
canvas.Divide(2,1)
graphAll = self.fileHandler.getGraph('hoMuonAnalyzer/graphs/L1TightMuons')
graphWithHo = self.fileHandler.getGraph('hoMuonAnalyzer/graphs/L1TightMuons3x3')
halfPhiBinwidth = L1_PHI_BIN/2.
l1BinOffset = L1_PHI_BIN*3/4.
histAll = TH2D('hEtaPhiAll',"#eta#phi for tight L1",30,-15*L1_ETA_BIN ,15*L1_ETA_BIN,
144, -math.pi,math.pi)
histWithHo = TH2D('hEtaPhiWithHO',"#eta#phi tight L1 + HO (3x3)",30,-15*L1_ETA_BIN,15*L1_ETA_BIN,
144, -math.pi,math.pi)
x = Double(0)
y = Double(0)
for i in range(0,graphAll.GetN()):
graphAll.GetPoint(i,x,y)
histAll.Fill(x,y)
for i in range(0,graphWithHo.GetN()):
graphWithHo.GetPoint(i,x,y)
histWithHo.Fill(x,y)
canvas.cd(1)
histAll.SetStats(0)
histAll.GetXaxis().SetRangeUser(-1,1)
histAll.SetTitle(histAll.GetTitle() + ';#eta_{L1};#phi_{L1};Entries')
setupAxes(histAll)
histAll.Draw('colz')
label1 = self.drawLabel()
canvas.Update()
setupPalette(histAll)
canvas.cd(2)
histWithHo.SetStats(0)
histWithHo.GetXaxis().SetRangeUser(-1,1)
histWithHo.SetTitle(histWithHo.GetTitle() + ';#eta_{L1};#phi_{L1};Entries')
setupAxes(histWithHo)
histWithHo.Draw('colz')
label2 = self.drawLabel()
canvas.Update()
setupPalette(histWithHo)
canvas.Update()
self.storeCanvas(canvas, 'etaPhiForTightL1')
return canvas,histAll,histWithHo,label1,label2
def plotHoTimeLog(self):
c3 = TCanvas("c3Log","HO Time Log",1200,1200)
skipNoisePlot = True
if not skipNoisePlot:
c3.Divide(1,2)
c3.cd(1).SetLogy()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTime = self.fileHandler.getHistogram('hoMuonAnalyzer/hoRecHits_Time')
hHoTime.SetStats(0)
hHoTime.SetTitle("Time distribution for all HO Rec Hits")
hHoTime.SetLineColor(colorRwthDarkBlue)
hHoTime.SetLineWidth(3)
hHoTime.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
hHoTimeAboveThr = self.fileHandler.getHistogram('hoMuonAnalyzer/hoRecHitsAboveThr_Time')
c3.cd(2).SetLogy()
hHoTimeAboveThr.SetStats(0)
hHoTimeAboveThr.SetTitle("Time distribution for HO Rec Hits > 0.2 GeV")
hHoTimeAboveThr.SetLineColor(colorRwthDarkBlue)
hHoTimeAboveThr.SetLineWidth(3)
setupAxes(hHoTimeAboveThr)
hHoTimeAboveThr.Draw()
label = getLabelCmsPrivateSimulation()
label.Draw()
fit = TF1("fit","gaus",-10,10)
fit.SetParameter(1,0)
fit.SetParameter(2,1)
hHoTimeAboveThr.Fit(fit,'','R',-12.5,12.5)
self.output(80*'#')
self.output('Chi^2: %5.2f' % fit.GetChisquare())
self.output('NDF: %d' % fit.GetNDF())
self.output(80*'#')
pText = TPaveText(0.7,0.8,0.9,0.9,'NDC')
pText.AddText('Mean: %.2f ns' % (fit.GetParameter(1)))
pText.AddText('#sigma: %.2f ns' % (fit.GetParameter(2)))
pText.SetBorderSize(1)
pText.SetFillColor(0)
pText.Draw()
c3.Update()
self.storeCanvas(c3,"hoTimeLog")
return c3,pText,hHoTimeAboveThr
def plotDeltaPhiVsGenPt(self):
canvas = TCanvas('cDeltaPhiVsGenPt','DeltaPhiVsGenPt',1200,1200)
hist = self.fileHandler.getHistogram('correlation/shiftCheckDeltaPhiVsGenPt')
hist.GetYaxis().SetRangeUser(-0.6,0.6)
hist.Draw('colz')
canvas.Update()
setupPalette(hist)
setupAxes(hist)
label = self.drawLabel()
canvas.Update()
return canvas,hist,label
def makeL1TimeVsEtaPlot(self, source):
canvas = TCanvas(source, source)
canvas.SetLogz()
hist = TH2D(source, source + ";#eta_{L1};BXID;#", 20, -1, 1, 7, -3.5,
3.5)
graph = self.fileHandler.getGraph('graphs/timingSupport_' + source)
fillGraphIn2DHist(graph, hist)
hist.SetStats(0)
hist.Draw('colz')
canvas.Update()
setupAxes(hist)
label = self.drawLabel()
canvas.Update()
return canvas, label, hist
def plotTightL1EtaPhiRatio(self):
gL1Tight = self.fileHandler.getGraph('graphs/patTightToL1Muons')
gL1Tight3x3 = self.fileHandler.getGraph('graphs/patTightToL1Muons3x3')
halfPhiBinwidth = L1_PHI_BIN / 2.
hL1Tight = TH2D('hL1Tight', 'L1Tight', 30, -15 * L1_ETA_BIN,
15 * L1_ETA_BIN, 144, -math.pi, math.pi)
hL1Tight3x3 = TH2D('hL1Tight3x3', 'L1Tight3x3', 30, -15 * L1_ETA_BIN,
15 * L1_ETA_BIN, 144, -math.pi, math.pi)
hL1Tight = fillGraphIn2DHist(gL1Tight, hL1Tight)
hL1Tight3x3 = fillGraphIn2DHist(gL1Tight3x3, hL1Tight3x3)
c1 = TCanvas("available tight L1 for matching")
hClone = hL1Tight.Clone('hClone')
hClone.Draw('colz')
hRatio = hL1Tight3x3.Clone('asdfasdf')
hRatio.Divide(hL1Tight)
c = TCanvas('2dMap')
hRatio.SetTitle(
'Local Efficiency per tight L1 coordinate (3x3 Matching);#eta_{L1};#phi_{L1};#epsilon'
)
hRatio.GetXaxis().SetRangeUser(-0.8, .8)
hRatio.Draw('colz')
hRatio.SetStats(0)
c.Update()
setupAxes(hRatio)
setupPalette(hRatio)
label = self.drawLabel()
c.Update()
self.storeCanvas(c, 'localTightL1Efficiency')
c2 = TCanvas('projections')
c2.Divide(2, 1)
c2.cd(1)
hEta = hRatio.ProjectionX()
hEta.Scale(1 / float(144)) #72 phi bins
hEta.Draw()
c2.cd(2)
hPhi = hRatio.ProjectionY()
hPhi.Scale(1 / float(16)) #16 eta bins, cutoff due to |eta| < 0.8
hPhi.Draw()
return c, hRatio, label, c2, hEta, hPhi, c1, hClone
def plotQualityCodesVsPt():
allPlots = []
allPlots.append(createPlotPtVsQualityCode(1))
allPlots.append(createPlotPtVsQualityCode(2))
allPlots.append(createPlotPtVsQualityCode(3))
canvas = TCanvas('allQCCodes', "All QC")
canvas.SetLogy()
canvas.cd().SetBottomMargin(0.15)
histAllCodes = fileHandler.getHistogram(
'multiplicity/L1MuonAllQualityCodes_Multiplicity')
histAllCodesTruth = fileHandler.getHistogram(
'multiplicity/L1MuonTruthAllQualityCodes_Multiplicity')
setupAxes(histAllCodes)
histAllCodes.SetLineWidth(3)
histAllCodesTruth.SetLineWidth(3)
histAllCodes.SetLineColor(colorRwthDarkBlue)
histAllCodes.Scale(1 / histAllCodes.Integral())
histAllCodes.GetXaxis().SetRangeUser(0, 8)
histAllCodes.SetStats(0)
histAllCodes.SetTitle('L1 muon quality codes;;rel. fraction')
#Label the bins with the meaning of the quality code
for i in range(1, 8):
histAllCodes.GetXaxis().SetBinLabel(histAllCodes.GetXaxis().FindBin(i),
qualityCodeDict.get(i))
histAllCodes.Draw()
histAllCodesTruth.Scale(1 / histAllCodesTruth.Integral())
histAllCodesTruth.SetLineColor(colorRwthMagenta)
histAllCodesTruth.Draw('Same')
label = drawLabelCmsPrivateSimulation()
legend = TLegend(0.1, 0.75, 0.3, 0.9)
legend.AddEntry(histAllCodes, "All L1", "l")
legend.AddEntry(histAllCodesTruth, "L1 Truth", "l")
legend.Draw()
canvas.Update()
canvas.SaveAs('plots/efficiency/allQualityCodes.pdf')
allPlots.append([histAllCodes, histAllCodesTruth, canvas, legend, label])
return allPlots
def plotL1EtaVsPatEtaTight(self):
c, hist = self.plotL1EtaVsPatEtaFineTight()
graph = self.fileHandler.getGraph('graphs/l1EtaVsPatEtaNotFineTight')
fillGraphIn2DHist(graph, hist)
hist.SetTitle('tight L1Muon #eta vs. pat #eta')
c.Update()
setupAxes(hist)
setupPalette(hist)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-.8, .8)
hist.GetYaxis().SetRangeUser(-.8, .8)
label = self.drawLabel()
c.Update()
self.storeCanvas(c, 'l1EtaVsPatEtaTight')
return c, hist, label
def plotHoIEtaIPhiMatchedToL1(self):
canvas = TCanvas('cHoIEtaIPhiAndL1', 'HO iEta iPhi And L1', 650, 50,
600, 500)
hoEtaPhi = self.fileHandler.getHistogram('etaPhi/L1Muon3x3_iEtaIPhi')
hoEtaPhi.SetTitle(
'L1 matched to HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas, "l1MatchedToHoIEtaIPhi")
return label, canvas, hoEtaPhi
def plotHoIEtaIPhi(self):
canvas = TCanvas('cHoIEtaIPhi', 'HO iEta iPhi', 0, 50, 600, 500)
canvas.SetLogz()
hoEtaPhi = self.fileHandler.getHistogram(
'etaPhi/hoRecHitsAboveThr_iEtaIPhi')
hoEtaPhi.SetTitle('HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas, "hoEtaPhi")
return label, canvas, hoEtaPhi
def plotDeltaPhiVsGenPt(self):
canvas = TCanvas('cDeltaPhiVsGenPt', 'DeltaPhiVsGenPt', 1200, 1200)
hist = self.fileHandler.getHistogram(
'correlation/shiftCheckDeltaPhiVsGenPt')
hist.GetYaxis().SetRangeUser(-0.6, 0.6)
hist.Draw('colz')
canvas.Update()
setupPalette(hist)
setupAxes(hist)
label = self.drawLabel()
canvas.Update()
return canvas, hist, label