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 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 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 plotAverageEMaxAroundL1(self):
canvas = TCanvas('canvasAverageEMax','Average EMax',1200,1200)
canvas.cd().SetLogz()
hSum = self.fileHandler.getHistogram('hoMuonAnalyzer/deltaEtaDeltaPhiEnergy/averageEMaxAroundPoint' + self.key + '_2dSummedWeights')
hCounter = self.fileHandler.getHistogram('hoMuonAnalyzer/deltaEtaDeltaPhiEnergy/averageEMaxAroundPoint' + self.key + '_2dCounter')
hSum = setupEAvplot(hSum, hCounter,same=True,limitForAll=0.3)
hSum.SetTitle('Mean E_{Max} in HO tiles around L1 direction')
hSum.SetMaximum(2)
hSum.Draw('colz')
setupEAvplot(hCounter,same=True,limitForAll=0.3).Draw('same,text')
label = getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
setupPalette(hSum)
canvas.Update()
self.storeCanvas(canvas, 'averageEmax')
hCounter.SaveAs('histogramEMaxCounter.root')
return canvas,hSum,label,hCounter
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',900,800)
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 plotAverageEMaxAroundL1(self):
canvas = TCanvas('canvasAverageEMax','Average EMax',1200,1200)
canvas.cd().SetLogz()
hSum = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEMaxAroundPoint' + self.key + '_2dSummedWeights')
hCounter = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEMaxAroundPoint' + self.key + '_2dCounter')
hSum = setupEAvplot(hSum, hCounter,same=True,limitForAll=0.3)
hSum.SetTitle('Mean E_{Max} in HO tiles around L1 direction')
hSum.SetMaximum(2)
hSum.Draw('colz')
setupEAvplot(hCounter,same=True,limitForAll=0.3).Draw('same,text')
label = getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
setupPalette(hSum)
canvas.Update()
self.storeCanvas(canvas, 'averageEmax')
hCounter.SaveAs('histogramEMaxCounter.root')
return canvas,hSum,label,hCounter
def plot3x3MatchQualityCodes(self):
c = TCanvas('cMatchQC3x3','Match QC 3x3',0,0,900,700)
c.SetLogz()
hist = self.fileHandler.getHistogram('hoMuonAnalyzer/qualityCode/L1Muon3x3Match_QcVsPt')
hist.SetStats(0)
hist.Scale(1,'width')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
label = None
if self.data:
label = drawLabelCmsPrivateData()
else:
label = drawLabelCmsPrivateSimulation()
c.Update()
box = TBox(0,6.5,180,7.5)
box.SetLineColor(3)
box.SetLineWidth(2)
box.Draw()
c.Update()
return hist,c,label,box
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 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 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 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 compareHistogramMethods(self):
canvas = TCanvas('cComparison','Comparison btween histograms')
# canvas.Divide(2,1)
histNormal = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_SummedEnergy')
histNormalCounter = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_Counter')
histNormal = setupEAvplot(histNormal, histNormalCounter,same=True,limitForAll=0.6)
# histNew = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEnergyAroundPoint_2dSummedWeightsIEtaIPhi')
# histNewCounter = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEnergyAroundPoint_2dCounterIEtaIPhi')
canvas.cd(1).SetLogz()
histNormal.SetTitle('Average Energy in HO tiles around L1 direction, i#eta by binning')
histNormal.SetStats(1)
histNormal.Draw('colz')
label = getLabelCmsPrivateSimulation()
label.Draw()
# canvas.cd(2).SetLogz()
# histNew = average2DHistogramBinwise(histNew, histNewCounter)
# histNew.GetXaxis().SetRangeUser(-8,8)
# histNew.GetYaxis().SetRangeUser(-8,8)
# histNew.GetXaxis().SetTitle('#Delta#eta')
# histNew.GetYaxis().SetTitle('#Delta#phi')
# histNew.GetZaxis().SetTitle('Reconstructed Energy / GeV')
# histNew.SetTitle('Mean Energy in HO tiles around L1 direction, i#eta by binning')
# histNew.Draw('colz')
# label2 = getLabelCmsPrivateSimulation()
# label2.Draw()
canvas.Update()
#Setup plot style
setStatBoxOptions(histNormal,1100)
setStatBoxPosition(histNormal)
setupPalette(histNormal)
# setupAxes(histNew)
# setStatBoxOptions(histNew,1100)
# setStatBoxPosition(histNew)
# setupPalette(histNew)
canvas.Update()
#TODO: Print the bin contents subtracted
return canvas, histNormal,label#,histNew,label2
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 compareHistogramMethods(self):
canvas = TCanvas('cComparison','Comparison btween histograms')
# canvas.Divide(2,1)
histNormal = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_SummedEnergy')
histNormalCounter = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPoint' + self.key + '_Counter')
histNormal = setupEAvplot(histNormal, histNormalCounter,same=True,limitForAll=0.6)
# histNew = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEnergyAroundPoint_2dSummedWeightsIEtaIPhi')
# histNewCounter = self.fileHandler.getHistogram('deltaEtaDeltaPhiEnergy/averageEnergyAroundPoint_2dCounterIEtaIPhi')
canvas.cd(1).SetLogz()
histNormal.SetTitle('Average Energy in HO tiles around L1 direction, i#eta by binning')
histNormal.SetStats(1)
histNormal.Draw('colz')
label = getLabelCmsPrivateSimulation()
label.Draw()
# canvas.cd(2).SetLogz()
# histNew = average2DHistogramBinwise(histNew, histNewCounter)
# histNew.GetXaxis().SetRangeUser(-8,8)
# histNew.GetYaxis().SetRangeUser(-8,8)
# histNew.GetXaxis().SetTitle('#Delta#eta')
# histNew.GetYaxis().SetTitle('#Delta#phi')
# histNew.GetZaxis().SetTitle('Reconstructed Energy / GeV')
# histNew.SetTitle('Mean Energy in HO tiles around L1 direction, i#eta by binning')
# histNew.Draw('colz')
# label2 = getLabelCmsPrivateSimulation()
# label2.Draw()
canvas.Update()
#Setup plot style
setStatBoxOptions(histNormal,1100)
setStatBoxPosition(histNormal)
setupPalette(histNormal)
# setupAxes(histNew)
# setStatBoxOptions(histNew,1100)
# setStatBoxPosition(histNew)
# setupPalette(histNew)
canvas.Update()
#TODO: Print the bin contents subtracted
return canvas, histNormal,label#,histNew,label2
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 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 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 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 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',"",1200,900)
#Local Efficiency per tight L1 coordinate (3x3 Matching)
hRatio.SetTitle(';#eta_{L1};#phi_{L1} / rad;#epsilon')
hRatio.GetXaxis().SetRangeUser(-0.8,.8)
hRatio.Draw('colz')
hRatio.SetStats(0)
c.Update()
setupAxes(hRatio)
setupPalette(hRatio)
c.Update()
hRatio.GetYaxis().SetTitleOffset(.7)
hRatio.GetZaxis().SetTitleOffset(.5)
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,c2,hEta,hPhi,c1,hClone
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 plotHoEtaPhiMatchedToL1(self):
canvas = TCanvas('cHoEtaPhiAndL1','HO Eta Phi And L1')
hoEtaPhi = self.fileHandler.getHistogram('hoMuonAnalyzer/etaPhi/L1MuonWithHoMatchAboveThr_HO_EtaPhi')
hoEtaPhi.SetTitle('L1 matched to HO RecHits > 0.2GeV;#eta_{HO};#phi_{HO};# entries')
hoEtaPhi.Rebin2D(10,10)
hoEtaPhi.GetXaxis().SetRangeUser(-1.5,1.5)
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,"l1MatchedToHoEtaPhi")
return label,canvas,hoEtaPhi
def plot3x3FailQualityCodesVsPt(self):
c = TCanvas('cFailQC3x3','Fail QC 3x3',910,0,900,700)
c.SetLogz()
hist = self.fileHandler.getHistogram('qualityCode/L1Muon3x3Fail_QcVsPt')
hist.SetStats(0)
hist.Scale(1,'width')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
label = self.drawLabel()
c.Update()
return hist,c,label
def plotHoIEtaIPhi(self):
canvas = TCanvas('cHoIEtaIPhi','HO iEta iPhi',0,300,600,500)
canvas.SetLogz()
canvas.cd().SetRightMargin(.15)
hoEtaPhi = self.fileHandler.getHistogram('etaPhi/hoRecHitsAboveThr_iEtaIPhi')
hoEtaPhi.SetTitle(';i#eta;i#phi;Entries')#'HO RecHits > 0.2GeV;i#eta;i#phi;# entries')
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
#hoEtaPhi.GetZaxis().SetTitleOffset(.9)
setupPalette(hoEtaPhi,x2ndc=.87)
canvas.Update()
self.storeCanvas(canvas,"hoEtaPhi",marginRight=.15)
return canvas,hoEtaPhi
def plotHoEtaPhiMatchedToTightL1(self):
canvas = TCanvas('cHoEtaPhiAndTightL1','HO Eta Phi And Tight L1')
hoEtaPhi = self.fileHandler.getHistogram('etaPhi/patMuonsTight_HO_EtaPhi')
hoEtaPhi.SetTitle('Tight L1 matched to HO RecHits > 0.2GeV;#eta_{HO};#phi_{HO};# entries')
hoEtaPhi.Rebin2D(10,10)
hoEtaPhi.GetXaxis().SetRangeUser(-1.5,1.5)
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,"tightPatToHoEtaPhi")
return label,canvas,hoEtaPhi
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,shiftBy=.05)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-.8,.8)
hist.GetYaxis().SetRangeUser(-.8,.8)
hist.GetZaxis().SetTitle('Entries')
c.Update()
self.storeCanvas(c,'l1EtaVsPatEtaTight',marginRight=.15)
return c,hist
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 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 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 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 plot3x3FailQualityCodesVsPt(self):
c = TCanvas('cFailQC3x3', 'Fail QC 3x3', 910, 0, 900, 700)
c.SetLogz()
hist = self.fileHandler.getHistogram(
'qualityCode/L1Muon3x3Fail_QcVsPt')
hist.SetStats(0)
hist.Scale(1, 'width')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
label = self.drawLabel()
c.Update()
return hist, c, label
def plotDeltaPhiVsL1Pt(self):
canvas = TCanvas('cDeltaPhiVsL1Pt','DeltaPhiVsL1Pt',1200,1200)
canvas.cd().SetLogz()
hist = self.fileHandler.getHistogram('correlation/shiftCheckDeltaPhiVsL1PtL1MuonPresent')
hist.Scale(1,'width')
hist.SetStats(0)
hist.GetYaxis().SetRangeUser(-0.6,.6)
hist.GetZaxis().SetTitle('# entries')
hist.Draw('colz')
label = self.drawLabel()
setupAxes(hist)
canvas.Update()
setupPalette(hist)
canvas.Update()
self.storeCanvas(canvas,'deltaPhiVsPt')
return canvas,hist,label
def plotHoEtaPhiMatchedToL1(self):
canvas = TCanvas('cHoEtaPhiAndL1', 'HO Eta Phi And L1')
hoEtaPhi = self.fileHandler.getHistogram(
'etaPhi/L1MuonWithHoMatchAboveThr_HO_EtaPhi')
hoEtaPhi.SetTitle(
'L1 matched to HO RecHits > 0.2GeV;#eta_{HO};#phi_{HO};# entries')
hoEtaPhi.Rebin2D(10, 10)
hoEtaPhi.GetXaxis().SetRangeUser(-1.5, 1.5)
hoEtaPhi.Draw('colz')
canvas.Update()
hoEtaPhi.SetStats(0)
setupAxes(hoEtaPhi)
setupPalette(hoEtaPhi)
label = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas, "l1MatchedToHoEtaPhi")
return label, canvas, hoEtaPhi
def plotDeltaPhiVsL1Pt(self):
canvas = TCanvas('cDeltaPhiVsL1Pt', 'DeltaPhiVsL1Pt', 1200, 1200)
canvas.cd().SetLogz()
hist = self.fileHandler.getHistogram(
'correlation/shiftCheckDeltaPhiVsL1PtL1MuonPresent')
hist.Scale(1, 'width')
hist.SetStats(0)
hist.GetYaxis().SetRangeUser(-0.6, .6)
hist.GetZaxis().SetTitle('# entries')
hist.Draw('colz')
label = self.drawLabel()
setupAxes(hist)
canvas.Update()
setupPalette(hist)
canvas.Update()
self.storeCanvas(canvas, 'deltaPhiVsPt')
return canvas, hist, label
def createPlotPtVsQualityCode(gridSize):
sourceHistogramsForGrid = {
1:'hoMuonAnalyzer/correlation/L1MuonpTvsQCCentralFail',
2:'hoMuonAnalyzer/correlation/L1MuonpTvsQC3x3Fail',
3:'hoMuonAnalyzer/correlation/L1MuonpTvsQC5x5Fail'
}
histogramTitleDict = {
1:'Central',
2:'3x3',
3:'5x5'
}
histogram = fileHandler.getHistogram(sourceHistogramsForGrid.get(gridSize))
title = 'p_{T} vs. rejected QC (' + histogramTitleDict.get(gridSize) + ')'
canvasTitle = 'cPtVsQualityCodes' + histogramTitleDict.get(gridSize)
canvas = TCanvas(canvasTitle,'cPtVsQualityCodes' + histogramTitleDict.get(gridSize),800,0,800,600)
canvas.SetLogz()
histogram.GetXaxis().SetRangeUser(0,8)
histogram.GetYaxis().SetRangeUser(-1,160)
histogram.SetStats(0)
histogram.SetTitle(title)
histogram.Scale(1,'width')
histogram.Draw('colz')
label = drawLabelCmsPrivateSimulation()
canvas.Update()
setupPalette(histogram)
canvas.Update()
fileNameTrunk = 'plots/efficiency/ptVsQualityCode' + histogramTitleDict.get(gridSize) + 'Fail'
canvas.SaveAs(fileNameTrunk + '.png')
canvas.SaveAs(fileNameTrunk + '.pdf')
histogram.Draw('lego2')
canvas.Update()
canvas.SaveAs(fileNameTrunk + '3D.png')
canvas.SaveAs(fileNameTrunk + '3D.pdf')
return canvas,label,histogram
def plotEMaxCountsForTightMuons(self):
canvas = TCanvas('canvasEmaxcountsTightMuons','E max counts Tight muons',1200,1200)
canvas.cd().SetLogz()
hCounter = self.fileHandler.getHistogram('hoMuonAnalyzer/deltaEtaDeltaPhiEnergy/averageEMaxAroundPointL1TightMuons_2dCounter')
#hSum = setupEAvplot(hSum, hCounter,same=True,limitForAll=0.3)
hCounter.SetTitle('Average E_{Rec} in HO tiles around tight L1 direction')
#hCounter.SetMaximum(1.2)
#hCounter.SetMinimum(5e-3)
hCounter.Draw('colz')
label = self.drawLabel()
canvas.Update()
setupPalette(hCounter)
canvas.Update()
#boxes = drawHoBoxes(canvas)
self.storeCanvas(canvas,'eMaxCountsTightMuons')
return canvas,label,hCounter
def createPlotPtVsQualityCode(gridSize):
sourceHistogramsForGrid = {
1: 'correlation/L1MuonpTvsQCCentralFail',
2: 'correlation/L1MuonpTvsQC3x3Fail',
3: 'correlation/L1MuonpTvsQC5x5Fail'
}
histogramTitleDict = {1: 'Central', 2: '3x3', 3: '5x5'}
histogram = fileHandler.getHistogram(sourceHistogramsForGrid.get(gridSize))
title = 'p_{T} vs. rejected QC (' + histogramTitleDict.get(gridSize) + ')'
canvasTitle = 'cPtVsQualityCodes' + histogramTitleDict.get(gridSize)
canvas = TCanvas(canvasTitle,
'cPtVsQualityCodes' + histogramTitleDict.get(gridSize),
800, 0, 800, 600)
canvas.SetLogz()
histogram.GetXaxis().SetRangeUser(0, 8)
histogram.GetYaxis().SetRangeUser(-1, 160)
histogram.SetStats(0)
histogram.SetTitle(title)
histogram.Scale(1, 'width')
histogram.Draw('colz')
label = drawLabelCmsPrivateSimulation()
canvas.Update()
setupPalette(histogram)
canvas.Update()
fileNameTrunk = 'plots/efficiency/ptVsQualityCode' + histogramTitleDict.get(
gridSize) + 'Fail'
canvas.SaveAs(fileNameTrunk + '.png')
canvas.SaveAs(fileNameTrunk + '.pdf')
histogram.Draw('lego2')
canvas.Update()
canvas.SaveAs(fileNameTrunk + '3D.png')
canvas.SaveAs(fileNameTrunk + '3D.pdf')
return canvas, label, histogram
def plotEavForTightMuons(self):
canvas = TCanvas('canvasEavTightMuons','EAv Tight muons',800,800)
canvas.cd().SetLogz()
hSum = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPointpatTightToL1Muons_SummedEnergy')
hCounter = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPointpatTightToL1Muons_Counter')
hSum = setupEAvplot(hSum, hCounter,same=True,limitForAll=0.3)
hSum.SetTitle('Average E_{Rec} in HO tiles around tight L1 direction')
hSum.SetMaximum(1.2)
hSum.SetMinimum(5e-3)
hSum.Draw('colz')
label = self.drawLabel()
canvas.Update()
setupPalette(hSum)
canvas.Update()
#boxes = drawHoBoxes(canvas)
self.storeCanvas(canvas,'eAverageTightMuons')
return canvas,hSum,label#,boxes
def plotEavForTightMuons(self):
canvas = TCanvas('canvasEavTightMuons','EAv Tight muons',1200,1200)
canvas.cd().SetLogz()
hSum = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPointpatTightToL1Muons_SummedEnergy')
hCounter = self.fileHandler.getHistogram('averageEnergy/averageEnergyAroundPointpatTightToL1Muons_Counter')
hSum = setupEAvplot(hSum, hCounter,same=True,limitForAll=0.3)
hSum.SetTitle('Average E_{Rec} in HO tiles around tight L1 direction')
hSum.SetMaximum(1.2)
hSum.SetMinimum(5e-3)
hSum.Draw('colz')
label = self.drawLabel()
canvas.Update()
setupPalette(hSum)
canvas.Update()
#boxes = drawHoBoxes(canvas)
self.storeCanvas(canvas,'eAverageTightMuons')
return canvas,hSum,label#,boxes
def plotTightL1EtaPhiRatio(self):
gL1Tight = self.fileHandler.getGraph('hoMuonAnalyzer/graphs/L1TightMuons')
gL1Tight3x3 = self.fileHandler.getGraph('hoMuonAnalyzer/graphs/L1TightMuons3x3')
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)
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
def makeTimeVsEtaPlot(self,source,title = ""):
canvas = TCanvas(source)
canvas.SetRightMargin(.15)
if title == "":
title = source
hist = TH2D(source,";i#eta;Time / ns;Entries",33,-16.5,16.5,
201,-100.5,100.5)
graph = self.fileHandler.getGraph('graphs/timingSupport_' + source)
fillGraphIn2DHist(graph, hist)
hist.SetStats(0)
hist.GetXaxis().SetRangeUser(-11,11)
hist.GetYaxis().SetRangeUser(-60,60)
hist.Draw('colz')
canvas.Update()
setupAxes(hist)
setupPalette(hist,shiftBy=.05)
canvas.Update()
fractionGraph,counterDict = self.printFractionsPerIEta(graph)
self.debug('Integral of plot %20s: %d' % (source,hist.Integral()))
medianTofZero = (counterDict[9]['median'] + counterDict[11]['median'])/2.
tofFunction = TF1('f','4*sqrt(1+ 1/(tan(2*atan(exp(-x*0.087/2.)))**2))/300000000.*1e9 - 13.3 + [0]',-10,10)
tofFunction.SetParameter(0,medianTofZero)
tofFunction.Draw('same')
###
# Draw Boxes for the Intervals
###
intervalBoxes = []
for index,item in enumerate(counterDict):
iEta = index - 10
# Skip iEta 0
if iEta == 0:
continue
box = TBox(iEta - 0.5, item['median'] - 12.5, iEta + 0.5, item['median'] + 12.5)
box.SetFillStyle(0)
box.SetLineColor(colorRwthMagenta)
box.SetLineWidth(2)
box.Draw()
intervalBoxes.append(box)
return canvas,hist,fractionGraph,intervalBoxes,tofFunction
def plot3x3FailQualityCodes(self):
c = TCanvas('cFailQC3x3','Fail QC 3x3',910,0,900,700)
c.SetLogz()
hist = self.fileHandler.getHistogram('hoMuonAnalyzer/qualityCode/L1Muon3x3Fail_QcVsPt')
hist.SetStats(0)
hist.Scale(1,'width')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
label = None
if self.data:
label = drawLabelCmsPrivateData()
else:
label = drawLabelCmsPrivateSimulation()
c.Update()
return hist,c,label
def plotDeltaPhiVsL1Eta(self):
canvas = TCanvas('cDeltaPhiVsL1Eta','DeltaPhiVsL1Eta',1200,1200)
hist = self.fileHandler.getHistogram('correlation/shiftCheckDeltaPhiVsL1Eta' + self.key)
hist.GetYaxis().SetRangeUser(-1,1)
# hist.GetXaxis().SetRangeUser(-.5,.5)
hist.GetXaxis().SetTitle('L1 #eta')
hist.GetZaxis().SetTitle('#')
hist.SetStats(0)
hist.SetTitle('#Delta#phi vs. L1#eta')
hist.Draw('colz')
label = self.drawLabel()
canvas.Update()
setupAxes(hist)
setupPalette(hist)
canvas.Update()
canvas.SaveAs('plots/deltaPhiVsL1Eta.pdf')
return canvas,hist,label#,phiBorderLines,legend
def plotIEtaIPhiOnSameScales(self):
canvas = TCanvas('cSameScales', 'same scales', 1900, 500)
canvas.Divide(3, 1)
canvas.cd(1).SetLogz()
res1 = self.getIEtaIPhiPlot('hoRecHitsAboveThr')
canvas.cd(2).SetLogz()
res2 = self.getIEtaIPhiPlot('patToL1Muons3x3')
res2.SetMaximum(res1.GetMaximum())
canvas.cd(3).SetLogz()
res3 = self.getIEtaIPhiPlot('patTightToL1Muons3x3')
res3.SetMaximum(res1.GetMaximum())
canvas.Update()
res2.SetTitle('L1 #Rightarrow ' + res2.GetTitle())
res3.SetTitle('L1 Tight #Rightarrow ' + res3.GetTitle())
canvas.cd(1)
setupPalette(res1)
label1 = self.drawLabel()
canvas.cd(1).Update()
canvas.cd(2)
setupPalette(res2)
label2 = self.drawLabel()
canvas.Update()
canvas.cd(3)
setupPalette(res3)
label3 = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas, "hoIEtaIPhiSameScales")
return res1, res2, res3, canvas, label1, label2, label3
def plotBxidVsPtMatch(self):
c = TCanvas('cBxidVsPtMatch','BxidVsPtMatch',800,1200)
c.Divide(1,2)
c.cd(1).SetLogz()
hist = self.fileHandler.getHistogram('time/L1Muon3x3Match_BxIdVsPt')
hist.SetStats(0)
setupAxes(hist)
hist.SetTitle('Successful matching in 3x3;p_{T} / GeV;BX ID;# entries')
hist.GetYaxis().SetRangeUser(-3,3)
histCopy = hist.DrawCopy('colz')
c.Update()
setupPalette(histCopy)
c.Update()
label = None
if self.data:
label = drawLabelCmsPrivateData()
else:
label = drawLabelCmsPrivateSimulation()
c.cd(2).SetLogz()
hist.Scale(1,'width')
hist.SetTitle(hist.GetTitle() + ', by bin width')
hist.GetZaxis().SetTitle('# entries / GeV')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
labelBottom = None
if self.data:
labelBottom = drawLabelCmsPrivateData()
else:
labelBottom = drawLabelCmsPrivateSimulation()
c.Update()
c.SaveAs('plots/efficiencyWithTime/bxIdVsPt3x3Match.gif')
return c, hist,label,labelBottom
def plotBxidVsPtMatch(self):
c = TCanvas('cBxidVsPtMatch','BxidVsPtMatch',800,1200)
c.Divide(1,2)
c.cd(1).SetLogz()
hist = self.fileHandler.getHistogram('hoMuonAnalyzer/time/L1Muon3x3Match_BxIdVsPt')
hist.SetStats(0)
setupAxes(hist)
hist.SetTitle('Successful matching in 3x3;p_{T} / GeV;BX ID;# entries')
hist.GetYaxis().SetRangeUser(-3,3)
histCopy = hist.DrawCopy('colz')
c.Update()
setupPalette(histCopy)
c.Update()
label = None
if self.data:
label = drawLabelCmsPrivateData()
else:
label = drawLabelCmsPrivateSimulation()
c.cd(2).SetLogz()
hist.Scale(1,'width')
hist.SetTitle(hist.GetTitle() + ', by bin width')
hist.GetZaxis().SetTitle('# entries / GeV')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
labelBottom = None
if self.data:
labelBottom = drawLabelCmsPrivateData()
else:
labelBottom = drawLabelCmsPrivateSimulation()
c.Update()
c.SaveAs('plots/efficiencyWithTime/bxIdVsPt3x3Match.gif')
return c, hist,label,labelBottom
def plotIEtaIPhiOnSameScales(self):
canvas = TCanvas('cSameScales','same scales',1900,500)
canvas.Divide(3,1)
canvas.cd(1).SetLogz()
res1 = self.getIEtaIPhiPlot('hoRecHitsAboveThr')
canvas.cd(2).SetLogz()
res2 = self.getIEtaIPhiPlot('patToL1Muons3x3')
res2.SetMaximum(res1.GetMaximum())
canvas.cd(3).SetLogz()
res3 = self.getIEtaIPhiPlot('patTightToL1Muons3x3')
res3.SetMaximum(res1.GetMaximum())
canvas.Update()
res2.SetTitle('L1 #Rightarrow ' + res2.GetTitle())
res3.SetTitle('L1 Tight #Rightarrow ' + res3.GetTitle())
canvas.cd(1)
setupPalette(res1)
label1 = self.drawLabel()
canvas.cd(1).Update()
canvas.cd(2)
setupPalette(res2)
label2 = self.drawLabel()
canvas.Update()
canvas.cd(3)
setupPalette(res3)
label3 = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,"hoIEtaIPhiSameScales")
return res1,res2,res3,canvas,label1,label2,label3
def plotDeltaPhiVsL1Eta(self):
canvas = TCanvas('cDeltaPhiVsL1Eta', 'DeltaPhiVsL1Eta', 1200, 1200)
hist = self.fileHandler.getHistogram(
'correlation/shiftCheckDeltaPhiVsL1Eta' + self.key)
hist.GetYaxis().SetRangeUser(-1, 1)
# hist.GetXaxis().SetRangeUser(-.5,.5)
hist.GetXaxis().SetTitle('L1 #eta')
hist.GetZaxis().SetTitle('#')
hist.SetStats(0)
hist.SetTitle('#Delta#phi vs. L1#eta')
hist.Draw('colz')
label = self.drawLabel()
canvas.Update()
setupAxes(hist)
setupPalette(hist)
canvas.Update()
canvas.SaveAs('plots/deltaPhiVsL1Eta.pdf')
return canvas, hist, label #,phiBorderLines,legend
def plotL1PhiVsHoPhi(self):
canvas = TCanvas('cL1PhiVsHoPhi', 'L1PhiVsHoPhi', 1200, 1200)
canvas.Divide(1, 2)
canvas.cd(1)
graph = self.fileHandler.getGraph('correlation/l1PhiVsHoPhi')
graph.SetTitle('L1 #phi vs. HO #phi;HO #phi;L1 #phi')
graph.SetMarkerStyle(2)
setupAxes(graph)
graph.Draw('AP')
canvas.Update()
canvas.cd(2)
halfbinwidth = L1_PHI_BIN / 2.
hist = TH2D('hL1PhiVsHoPhi', 'L1 Phi vs. iPhi', 289,
-math.pi - halfbinwidth, math.pi + halfbinwidth, 289,
-math.pi - halfbinwidth, math.pi + halfbinwidth)
hist = fillGraphIn2DHist(graph, hist)
hist.Draw('colz')
canvas.Update()
setupPalette(hist)
canvas.Update()
return canvas, graph, hist
def plot3x3MatchQualityCodesVsPt(self):
c = TCanvas('cMatchQC3x3', 'Match QC 3x3', 0, 0, 900, 700)
c.SetLogz()
hist = self.fileHandler.getHistogram(
'qualityCode/L1Muon3x3Match_QcVsPt')
hist.SetStats(0)
hist.Scale(1, 'width')
hist.Draw('colz')
c.Update()
setupPalette(hist)
c.Update()
label = self.drawLabel()
c.Update()
box = TBox(0, 6.5, 180, 7.5)
box.SetLineColor(3)
box.SetLineWidth(2)
box.Draw()
c.Update()
return hist, c, label, box
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 plotEAveragePerWheel(self):
canvas = TCanvas('cEAvPerWheel',"E Average per Wheel",1800,800)
canvas.Divide(3,1)
hM1Energy = self.fileHandler.getHistogram('averageEnergy/wh1m/averageEnergyAroundPoint' + self.key + '_wh-1SummedEnergy')
hM1Counter = self.fileHandler.getHistogram('averageEnergy/wh1m/averageEnergyAroundPoint' + self.key + '_wh-1Counter')
hM1Energy = setupEAvplot(hM1Energy, hM1Counter)
hM1Energy.SetStats(0)
h0Energy = self.fileHandler.getHistogram('averageEnergy/wh0/averageEnergyAroundPoint' + self.key + '_wh0SummedEnergy')
h0Counter = self.fileHandler.getHistogram('averageEnergy/wh0/averageEnergyAroundPoint' + self.key + '_wh0Counter')
h0Energy = setupEAvplot(h0Energy, h0Counter)
h0Energy.SetStats(0)
hP1Energy = self.fileHandler.getHistogram('averageEnergy/wh1p/averageEnergyAroundPoint' + self.key + '_wh1SummedEnergy')
hP1Counter = self.fileHandler.getHistogram('averageEnergy/wh1p/averageEnergyAroundPoint' + self.key + '_wh1Counter')
hP1Energy = setupEAvplot(hP1Energy, hP1Counter)
hP1Energy.SetStats(0)
canvas.cd(1).SetLogz()
setupAxes(hM1Energy)
hM1Energy.SetMaximum(1.2)
hM1Energy.SetMinimum(5e-3)
hM1Energy.Draw('colz')
canvas.Update()
setupPalette(hM1Energy)
label1 = self.drawLabel()
canvas.cd(2).SetLogz()
setupAxes(h0Energy)
h0Energy.SetMaximum(1.2)
h0Energy.SetMinimum(5e-3)
h0Energy.Draw('colz')
#h0Counter.Draw('same,text')
canvas.Update()
setupPalette(h0Energy)
label2 = self.drawLabel()
canvas.cd(3).SetLogz()
setupAxes(hP1Energy)
hP1Energy.SetMaximum(1.2)
hP1Energy.SetMinimum(5e-3)
hP1Energy.Draw('colz')
canvas.Update()
setupPalette(hP1Energy)
label3 = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,'eAveragePerWheel')
return hM1Energy,canvas,h0Energy,hP1Energy,h0Counter,label1,label2,label3
def plotEavPerWheelForTightMuons(self):
canvas = TCanvas('canvasEavPerWheelTightMuons','EAv Per Wheel Tight muons',1800,800)
canvas.Divide(3,1)
hM1Energy = self.fileHandler.getHistogram('averageEnergy/wh1m/averageEnergyAroundPointpatTightToL1Muons_wh-1SummedEnergy')
hM1Counter = self.fileHandler.getHistogram('averageEnergy/wh1m/averageEnergyAroundPointpatTightToL1Muons_wh-1Counter')
hM1Energy = setupEAvplot(hM1Energy, hM1Counter)
hM1Energy.SetStats(0)
h0Energy = self.fileHandler.getHistogram('averageEnergy/wh0/averageEnergyAroundPointpatTightToL1Muons_wh0SummedEnergy')
h0Counter = self.fileHandler.getHistogram('averageEnergy/wh0/averageEnergyAroundPointpatTightToL1Muons_wh0Counter')
h0Energy = setupEAvplot(h0Energy, h0Counter)
h0Energy.SetStats(0)
hP1Energy = self.fileHandler.getHistogram('averageEnergy/wh1p/averageEnergyAroundPointpatTightToL1Muons_wh1SummedEnergy')
hP1Counter = self.fileHandler.getHistogram('averageEnergy/wh1p/averageEnergyAroundPointpatTightToL1Muons_wh1Counter')
hP1Energy = setupEAvplot(hP1Energy, hP1Counter)
hP1Energy.SetStats(0)
canvas.cd(1).SetLogz()
setupAxes(hM1Energy)
hM1Energy.SetMaximum(1.2)
hM1Energy.SetMinimum(5e-3)
hM1Energy.Draw('colz')
canvas.Update()
setupPalette(hM1Energy)
label1 = self.drawLabel()
canvas.cd(2).SetLogz()
setupAxes(h0Energy)
h0Energy.SetMaximum(1.2)
h0Energy.SetMinimum(5e-3)
h0Energy.Draw('colz')
canvas.Update()
setupPalette(h0Energy)
label2 = self.drawLabel()
canvas.cd(3).SetLogz()
setupAxes(hP1Energy)
hP1Energy.SetMaximum(1.2)
hP1Energy.SetMinimum(5e-3)
hP1Energy.Draw('colz')
canvas.Update()
setupPalette(hP1Energy)
label3 = self.drawLabel()
canvas.Update()
self.storeCanvas(canvas,'eAveragePerWheelTightMuons')
return hM1Energy,canvas,h0Energy,hP1Energy,h0Counter,label1,label2,label3
