def plotNoL1AndTdmiInAcceptance():
c4 = TCanvas("c4","c4",1200,1200)
gNoTrgNoL1TdmiInGa = file.Get("hoMuonAnalyzer/graphs/NoTrgNoL1TdmiInGA")
gConvertedToiEtaiPhi = PlotStyle.convertToHcalCoords(gNoTrgNoL1TdmiInGa)
gConvertedToiEtaiPhi.SetTitle('No Single #mu Trg, in HO Acceptance')
gConvertedToiEtaiPhi.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
gConvertedToiEtaiPhi.Draw("AP")
chimney1 = PlotStyle.chimney1
chimney2 = PlotStyle.chimney2
chimney1Converted = PlotStyle.convertToHcalCoords(chimney1)
chimney2Converted = PlotStyle.convertToHcalCoords(chimney2)
chimney1Converted.SetLineColor(PlotStyle.colorRwthMagenta)
chimney2Converted.SetLineColor(PlotStyle.colorRwthMagenta)
chimney1Converted.Draw('Same,l')
chimney2Converted.Draw('Same,l')
legend = TLegend(0.7,0.85,0.9,0.9)
legend.AddEntry(chimney2Converted,"chimneys","le")
legend.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c4.Update()
#boxes = PlotStyle.drawHcalBoxesHcalCoords(c4)
c4.SaveAs("plots/graphsEtaPhi/gNoTrgNoL1TdmiInGaHocoords.pdf")
c4.SaveAs("plots/graphsEtaPhi/gNoTrgNoL1TdmiInGaHocoords.png")
return c4,legend,chimney1Converted,chimney2Converted,gConvertedToiEtaiPhi
def doPlotPhiPtOfFailingMatches():
file = TFile.Open('L1MuonHistogram.root')
#Prepare canvas
canvas = TCanvas("canvasPtPhiHoMatchFail","PtPhiHoMatchFail",1200,1200)
canvas.cd().Draw()
#prepare histogram
hist = file.Get("hoMuonAnalyzer/etaPhi/3D/NoTrgTdmiNotInGA_EtaPhiPt")
stack = THStack(hist,"zy","2dStack","",-1,-1,-1,-1,"zy","")
#Create new histogram and add the histograms from the stack
histNew = TH2D("histPtEtaHoMatchFail","p_{T} vs. #phi distribution for events not in HO acceptance;#phi;p_{T} / 5 GeV;#",80, -3.2, 3.2,40,0,200)
histNew.GetYaxis().SetTitleOffset(1.2)
histNew.Sumw2()
for i in stack.GetHists():
histNew.Add(i)
gStyle.SetPalette(1)
histNew.SetStats(0)
PlotStyle.setupAxes(histNew)
histNew.Draw('COLZ')
canvas.Update()
palette = histNew.FindObject("palette")
palette.SetX1NDC(0.9)
palette.SetX2NDC(0.92)
#add label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
canvas.SaveAs('plots/NoL1NotInHoAcceptancePhiPt.pdf')
canvas.SaveAs('plots/NoL1NotInHoAcceptancePhiPt.png')
return canvas,hist,stack,histNew,label,palette,file
def plotEventsInAcceptance():
c = TCanvas("c","c",1200,1200)
gTdmiInGaNotConverted = file.Get("hoMuonAnalyzer/graphs/tdmiInGaNotDead")
gTdmiInGa = PlotStyle.convertToHcalCoords(gTdmiInGaNotConverted)
gTdmiInGa.GetXaxis().SetTitle("i#eta")
gTdmiInGa.GetYaxis().SetTitle("i#phi")
gTdmiInGa.SetMarkerStyle(6)
gTdmiInGa.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
gTdmiInGa.SetTitle("#eta #phi plot of HO geom. Acceptance and not dead channels")
gTdmiInGa.Draw("AP")
pText = TPaveText(0.7,0.85,0.9,0.9,'NDC')
pText.AddText('Total Events: %d' % (totalEvents))
pText.AddText('Events in Plot: %d' % (gTdmiInGa.GetN()))
pText.SetBorderSize(1)
pText.Draw()
chimney1 = PlotStyle.chimney1
chimney2 = PlotStyle.chimney2
labelCmsPrivateSimulation = PlotStyle.getLabelCmsPrivateSimulation()
chimney1Converted.Draw("same,l")
chimney2Converted.Draw("same,l")
labelCmsPrivateSimulation.Draw()
legend = TLegend(0.1,0.87,0.3,0.9)
legend.AddEntry(chimney2Converted,"chimney","l")
legend.Draw()
c.Update()
c.SaveAs("plots/graphsEtaPhi/gTdmiInGaNotDead.png")
def plotHoAboveThr():
c5 = TCanvas("c5","c5",1200,1200)
noTrgTdmiAboveThrNotConverted = file.Get("hoMuonAnalyzer/graphs/NoTrgTdmiAboveThr")
noTrgTdmiAboveThr = PlotStyle.convertToHcalCoords(noTrgTdmiAboveThrNotConverted)
noTrgTdmiAboveThr.GetXaxis().SetTitle("i#eta / a.u.")
noTrgTdmiAboveThr.GetYaxis().SetTitle("i#phi / a.u.")
noTrgTdmiAboveThr.SetMarkerStyle(6)
noTrgTdmiAboveThr.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
noTrgTdmiAboveThr.SetTitle("#eta #phi plot of HO > 0.2 GeV in no Single #mu Trg. events")
noTrgTdmiAboveThr.Draw("AP")
pText = TPaveText(0.7,0.85,0.9,0.9,'NDC')
pText.AddText('No Single #mu in GA: %d' % (noSingleMuEventsInGa))
pText.AddText('Events in Plot: %d' % (noTrgTdmiAboveThr.GetN()))
pText.SetBorderSize(1)
pText.Draw()
chimney1 = PlotStyle.chimney1
chimney2 = PlotStyle.chimney2
labelCmsPrivateSimulation = PlotStyle.getLabelCmsPrivateSimulation()
chimney1Converted.Draw("same,l")
chimney2Converted.Draw("same,l")
labelCmsPrivateSimulation.Draw()
legend = TLegend(0.1,0.87,0.3,0.9)
legend.AddEntry(chimney2Converted,"chimney","l")
legend.Draw()
#c5.SetGridY(0)
#c5.SetGridX(0)
c5.Update()
c5.SaveAs("plots/graphsEtaPhi/gNoTrgTdmiHoAboveThr.png")
def doPlotEtaPtOfSuccessfulMatches():
file = TFile.Open('L1MuonHistogram.root')
#Prepare canvas
canvas = TCanvas("canvasPtEtaHoMatch", "PtEtaHoMatch", 1200, 1200)
canvas.cd().Draw()
#prepare histogram
hist = file.Get("hoMuonAnalyzer/etaPhi/3D/NoTrgTdmiAboveThr_EtaPhiPt")
stack = THStack(hist, "zx", "2dStack", "", -1, -1, -1, -1, "zx", "")
#Create new histogram and add the histograms from the stack
histNew = TH2D("histPtEtaHoMatch",
"p_{T} vs. #eta distribution;#eta;p_{T} / 5 GeV;#", 40,
-1.6, 1.6, 40, 0, 200)
histNew.GetYaxis().SetTitleOffset(1.2)
for i in stack.GetHists():
histNew.Add(i)
gStyle.SetPalette(1)
histNew.SetStats(0)
histNew.Draw('COLZ')
canvas.Update()
palette = histNew.FindObject("palette")
palette.SetX1NDC(0.9)
palette.SetX2NDC(0.92)
#add label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
canvas.SaveAs('plots/NoL1HoMatchPtEta.pdf')
canvas.SaveAs('plots/NoL1HoMatchPtEta.png')
return canvas, hist, stack, histNew, label, palette, file
def doPlotEtaPtOfSuccessfulMatches():
file = TFile.Open('L1MuonHistogram.root')
#Prepare canvas
canvas = TCanvas("canvasPtEtaHoMatch","PtEtaHoMatch",1200,1200)
canvas.cd().Draw()
#prepare histogram
hist = file.Get("hoMuonAnalyzer/etaPhi/3D/NoTrgTdmiAboveThr_EtaPhiPt")
stack = THStack(hist,"zx","2dStack","",-1,-1,-1,-1,"zx","")
#Create new histogram and add the histograms from the stack
histNew = TH2D("histPtEtaHoMatch","p_{T} vs. #eta distribution;#eta;p_{T} / 5 GeV;#",40,-1.6,1.6,40,0,200)
histNew.GetYaxis().SetTitleOffset(1.2)
for i in stack.GetHists():
histNew.Add(i)
gStyle.SetPalette(1)
histNew.SetStats(0)
histNew.Draw('COLZ')
canvas.Update()
palette = histNew.FindObject("palette")
palette.SetX1NDC(0.9)
palette.SetX2NDC(0.92)
#add label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
canvas.SaveAs('plots/NoL1HoMatchPtEta.pdf')
canvas.SaveAs('plots/NoL1HoMatchPtEta.png')
return canvas,hist,stack,histNew,label,palette,file
def plotGenEtaPhi():
c = TCanvas("canvasGenEtaPhi", "canvas Gen Eta Phi", 1200, 1200)
graph = file.Get('hoMuonAnalyzer/graphs/gen')
graph.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
graph.SetMarkerStyle(2)
graph.GetXaxis().SetTitleFont(62)
graph.GetYaxis().SetTitleFont(62)
graph.GetYaxis().SetLabelFont(62)
graph.GetYaxis().SetTitle('#phi')
graph.GetXaxis().SetTitle('#eta')
graph.SetTitle('#eta #phi distribution for GEN')
graph.Draw('AP')
#CMS label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
pText = TPaveText(0.7, 0.85, 0.9, 0.9, 'NDC')
pText.SetBorderSize(1)
pText.AddText('Total Events: %d' % (totalEvents))
pText.Draw()
c.SaveAs('plots/genControlPlots/genEtaPhi.pdf')
c.SaveAs('plots/genControlPlots/genEtaPhi.png')
#Prepare histograms for eta and phi alone
histPhi = TH1D('histGenPhi', "#phi GEN;#phi;#", 80, -3.48, 3.48)
histEta = TH1D('histGenEta', "#eta GEN;#eta;#", 40, -1.74, 1.74)
#Get the data from the graph
x = Double(0)
y = Double(0)
for i in range(0, graph.GetN()):
graph.GetPoint(i, x, y)
histPhi.Fill(y)
histEta.Fill(x)
#Draw phi histogram
cPhi = TCanvas("canvasGenPhi", "canvas Gen Phi", 1200, 1200)
histPhi.SetStats(0)
histPhi.Draw()
label.Draw()
cPhi.SaveAs('plots/genControlPlots/genPhi.pdf')
cPhi.SaveAs('plots/genControlPlots/genPhi.pdf')
#Draw eta histogram
cEta = TCanvas("canvasGenEta", "canvas Gen Eta", 1200, 1200)
histEta.SetStats(0)
histEta.Draw()
label.Draw()
cEta.SaveAs('plots/genControlPlots/genEta.pdf')
cEta.SaveAs('plots/genControlPlots/genEta.pdf')
return c, graph, label, histEta, histPhi, cEta, cPhi, pText
def plotGenEtaPhi():
c = TCanvas("canvasGenEtaPhi","canvas Gen Eta Phi",1200,1200)
graph = file.Get('hoMuonAnalyzer/graphs/gen')
graph.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
graph.SetMarkerStyle(2)
graph.GetXaxis().SetTitleFont(62)
graph.GetYaxis().SetTitleFont(62)
graph.GetYaxis().SetLabelFont(62)
graph.GetYaxis().SetTitle('#phi')
graph.GetXaxis().SetTitle('#eta')
graph.SetTitle('#eta #phi distribution for GEN')
graph.Draw('AP')
#CMS label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
pText = TPaveText(0.7,0.85,0.9,0.9,'NDC')
pText.SetBorderSize(1)
pText.AddText('Total Events: %d' % (totalEvents))
pText.Draw()
c.SaveAs('plots/genControlPlots/genEtaPhi.pdf')
c.SaveAs('plots/genControlPlots/genEtaPhi.png')
#Prepare histograms for eta and phi alone
histPhi = TH1D('histGenPhi',"#phi GEN;#phi;#",80,-3.48,3.48)
histEta = TH1D('histGenEta',"#eta GEN;#eta;#",40,-1.74,1.74)
#Get the data from the graph
x = Double(0)
y = Double(0)
for i in range(0,graph.GetN()):
graph.GetPoint(i,x,y)
histPhi.Fill(y)
histEta.Fill(x)
#Draw phi histogram
cPhi = TCanvas("canvasGenPhi","canvas Gen Phi",1200,1200)
histPhi.SetStats(0)
histPhi.Draw()
label.Draw()
cPhi.SaveAs('plots/genControlPlots/genPhi.pdf')
cPhi.SaveAs('plots/genControlPlots/genPhi.pdf')
#Draw eta histogram
cEta = TCanvas("canvasGenEta","canvas Gen Eta",1200,1200)
histEta.SetStats(0)
histEta.Draw()
label.Draw()
cEta.SaveAs('plots/genControlPlots/genEta.pdf')
cEta.SaveAs('plots/genControlPlots/genEta.pdf')
return c,graph,label,histEta,histPhi,cEta,cPhi,pText
def doPlotGenPt(filename):
PlotStyle.setPlotStyle()
if(DEBUG):
print 'Opening file:',filename
file = TFile.Open(filename)
if(file == None):
print 'Error opening file:',filename
c = TCanvas('genPtCanvas','Gen Pt no Single #mu trg',1200,1200)
c.cd().SetLeftMargin(0.15)
genPtHist = file.Get("hoMuonAnalyzer/NoSingleMu_Pt")
genPtHist.SetLineColor(PlotStyle.colorRwthDarkBlue)
genPtHist.SetLineWidth(3)
genPtHist.Rebin(50)
genPtHist.Sumw2()
genPtHist.Scale(1/genPtHist.Integral())
genPtHist.GetXaxis().SetRangeUser(0,200)
genPtHist.GetYaxis().SetTitle('normalized entries / 5 GeV')
genPtHist.GetYaxis().SetTitleOffset(2)
genPtHist.GetXaxis().SetTitle('p_{T} Gen / GeV')
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
genPtHist.Draw("ehist")
c.Update()
stats = genPtHist.GetListOfFunctions().FindObject("stats")
stats.SetOptStat(10)
stats.SetX1NDC(.7)
stats.SetX2NDC(.9)
stats.SetY1NDC(.85)
stats.SetY2NDC(.9)
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c.SaveAs('plots/genPtNoSingleMuTrg.png')
c.SaveAs('plots/genPtNoSingleMuTrg.pdf')
return
def doPlotGenPt(filename):
PlotStyle.setPlotStyle()
if (DEBUG):
print 'Opening file:', filename
file = TFile.Open(filename)
if (file == None):
print 'Error opening file:', filename
c = TCanvas('genPtCanvas', 'Gen Pt no Single #mu trg', 1200, 1200)
c.cd().SetLeftMargin(0.15)
genPtHist = file.Get("hoMuonAnalyzer/NoSingleMu_Pt")
genPtHist.SetLineColor(PlotStyle.colorRwthDarkBlue)
genPtHist.SetLineWidth(3)
genPtHist.Rebin(50)
genPtHist.Sumw2()
genPtHist.Scale(1 / genPtHist.Integral())
genPtHist.GetXaxis().SetRangeUser(0, 200)
genPtHist.GetYaxis().SetTitle('normalized entries / 5 GeV')
genPtHist.GetYaxis().SetTitleOffset(2)
genPtHist.GetXaxis().SetTitle('p_{T} Gen / GeV')
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
genPtHist.Draw("ehist")
c.Update()
stats = genPtHist.GetListOfFunctions().FindObject("stats")
stats.SetOptStat(10)
stats.SetX1NDC(.7)
stats.SetX2NDC(.9)
stats.SetY1NDC(.85)
stats.SetY2NDC(.9)
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c.SaveAs('plots/genPtNoSingleMuTrg.png')
c.SaveAs('plots/genPtNoSingleMuTrg.pdf')
return
def plotAllEventsInAcceptance():
c = TCanvas("c","c",1200,1200)
gTdmiInGa = file.Get("hoMuonAnalyzer/graphs/tdmiInGA")
gTdmiInGa = PlotStyle.convertToHcalCoords(gTdmiInGa)
gTdmiInGa.GetXaxis().SetTitle("i#eta / a.u.")
gTdmiInGa.GetYaxis().SetTitle("i#phi / a.u.")
gTdmiInGa.SetMarkerStyle(6)
gTdmiInGa.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
gTdmiInGa.Draw("AP")
pText = TPaveText(0.7,0.85,0.9,0.9,'NDC')
pText.AddText('Total Events: %d' % (totalEvents))
pText.AddText('Events in Plot: %d' % (gTdmiInGa.GetN()))
pText.SetBorderSize(1)
pText.Draw()
chimney1 = PlotStyle.chimney1
chimney2 = PlotStyle.chimney2
chimney1Converted = PlotStyle.convertToHcalCoords(chimney1)
chimney2Converted = PlotStyle.convertToHcalCoords(chimney2)
chimney1Converted.SetLineColor(PlotStyle.colorRwthMagenta)
chimney2Converted.SetLineColor(PlotStyle.colorRwthMagenta)
chimney1Converted.Draw("same,l")
chimney2Converted.Draw("same,l")
labelCmsPrivateSimulation = PlotStyle.getLabelCmsPrivateSimulation()
labelCmsPrivateSimulation.Draw()
legend = TLegend(0.1,0.87,0.3,0.9)
legend.AddEntry(chimney2Converted,"chimney","l")
legend.Draw()
c.Update()
c.SaveAs("plots/graphsEtaPhi/gTdmiInGa.pdf")
c.SaveAs("plots/graphsEtaPhi/gTdmiInGa.png")
return c,chimney1Converted,chimney2Converted,gTdmiInGa,pText
def doPlotPhiPtOfFailingMatches():
file = TFile.Open('L1MuonHistogram.root')
#Prepare canvas
canvas = TCanvas("canvasPtPhiHoMatchFail", "PtPhiHoMatchFail", 1200, 1200)
canvas.cd().Draw()
#prepare histogram
hist = file.Get("hoMuonAnalyzer/etaPhi/3D/NoTrgTdmiNotInGA_EtaPhiPt")
stack = THStack(hist, "zy", "2dStack", "", -1, -1, -1, -1, "zy", "")
#Create new histogram and add the histograms from the stack
histNew = TH2D(
"histPtEtaHoMatchFail",
"p_{T} vs. #phi distribution for events not in HO acceptance;#phi;p_{T} / 5 GeV;#",
80, -3.2, 3.2, 40, 0, 200)
histNew.GetYaxis().SetTitleOffset(1.2)
histNew.Sumw2()
for i in stack.GetHists():
histNew.Add(i)
gStyle.SetPalette(1)
histNew.SetStats(0)
PlotStyle.setupAxes(histNew)
histNew.Draw('COLZ')
canvas.Update()
palette = histNew.FindObject("palette")
palette.SetX1NDC(0.9)
palette.SetX2NDC(0.92)
#add label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
canvas.Update()
canvas.SaveAs('plots/NoL1NotInHoAcceptancePhiPt.pdf')
canvas.SaveAs('plots/NoL1NotInHoAcceptancePhiPt.png')
return canvas, hist, stack, histNew, label, palette, file
def plotDeltaEtaDeltaPhi(folder,sourceHistogram = 'L1MuonWithHoMatch_DeltaEtaDeltaPhi', sourceFile = 'L1MuonHistogram.root',storeSubdir = 'deltaEtaDeltaPhi'):
if(DEBUG):
print prefix + 'was called'
if(folder == None):
print prefix + 'Error! Filename as first argument needed.'
return
if( not os.path.exists('plots')):
os.mkdir('plots')
if( not os.path.exists('plots/' + storeSubdir)):
os.mkdir('plots/' + storeSubdir)
filename = folder + '/' + sourceFile
if( not os.path.exists(filename)):
print 'Error! File ' + filename + ' does not exist!'
return
print prefix + 'Opening file:',filename
file = TFile.Open(filename)
PlotStyle.setPlotStyle()
h2dDeltaEtaDeltaPhi = file.Get("hoMuonAnalyzer/etaPhi/" + sourceHistogram)
hEventCount = file.Get("hoMuonAnalyzer/count/Events_Count")
hNoTrgCount = file.Get("hoMuonAnalyzer/count/NoSingleMu_Count")
if(h2dDeltaEtaDeltaPhi == None):
print 'Could not get histogram %s from file %s'%("hoMuonAnalyzer/etaPhi/" + sourceHistogram,filename)
canv = TCanvas("canvasDeltaEtaDeltaPhi" + sourceHistogram,'canvasDeltaEtaDeltaPhi',1200,1200)
canv.SetLogz()
h2dDeltaEtaDeltaPhi.GetXaxis().SetRangeUser(-.45,.45)
h2dDeltaEtaDeltaPhi.GetXaxis().SetTitle("#Delta#eta")
h2dDeltaEtaDeltaPhi.GetYaxis().SetRangeUser(-.45,.45)
h2dDeltaEtaDeltaPhi.GetYaxis().SetTitle("#Delta#phi")
h2dDeltaEtaDeltaPhi.GetZaxis().SetTitle("N")
h2dDeltaEtaDeltaPhi.Draw("colz")
boxList = drawHoBoxes(canv)
canv.Update()
pal = h2dDeltaEtaDeltaPhi.GetListOfFunctions().FindObject("palette")
pal.SetX2NDC(0.92)
stats = h2dDeltaEtaDeltaPhi.GetListOfFunctions().FindObject("stats")
stats.SetX1NDC(.1)
stats.SetX2NDC(.2)
stats.SetY1NDC(.1)
stats.SetY2NDC(.25)
paveText = TPaveText(0.2,0.1,0.65,0.2,'NDC')
paveText.AddText('Total Events: %d' % (hEventCount.GetBinContent(2)))
paveText.AddText('Events with no Single #mu Trg: %d' % (hNoTrgCount.GetBinContent(2)))
paveText.SetBorderSize(1)
paveText.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
legend = TLegend(0.7,0.8,0.9,0.9)
legend.AddEntry(boxList[0],"HO tile dimensions","le")
legend.Draw()
canv.SaveAs("plots/" + storeSubdir + "/" + sourceHistogram + ".png")
canv.SaveAs("plots/" + storeSubdir + "/" + sourceHistogram + ".pdf")
canv.SaveAs("plots/" + storeSubdir + "/" + sourceHistogram + ".root")
SetOwnership(h2dDeltaEtaDeltaPhi,False)
return [h2dDeltaEtaDeltaPhi,canv,legend,boxList,stats,pal,paveText,label]
def doPlotCutflow(filename='L1MuonHistogram.root'):
PlotStyle.setPlotStyle()
if(DEBUG):
print 'Opening file:',filename
file = TFile.Open(filename)
if(file == None):
print 'Error opening file:',filename
#Total event count
tagEvents = 'hoMuonAnalyzer/count/Events_Count'
tagL1Muons = 'hoMuonAnalyzer/count/L1MuonPresent_Count'
#Counters without energy threshold
tagHo1 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatch_Count'
tagHo2 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatchInAcc_Count'
tagHo3 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatchInAccNotDead_Count'
tagHo4 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatchInAccThr_Count'
#Counters with energy threshold
tagThr1 = 'hoMuonAnalyzer/count/L1MuonAboveThr_Count'
tagThr2 = 'hoMuonAnalyzer/count/L1MuonAboveThrInAcc_Count'
tagThr3 = 'hoMuonAnalyzer/count/L1MuonAboveThrInAccNotDead_Count'
histEvents = file.Get(tagEvents)
histL1Muons = file.Get(tagL1Muons)
histHo1 = file.Get(tagHo1)
histHo2 = file.Get(tagHo2)
histHo3 = file.Get(tagHo3)
histHo4 = file.Get(tagHo4)
histThr1 = file.Get(tagThr1)
histThr2 = file.Get(tagThr2)
histThr3 = file.Get(tagThr3)
yValues = [
histEvents.GetBinContent(2),
histL1Muons.GetBinContent(2),
histHo1.GetBinContent(2),
# histHo2.GetBinContent(2),
# histHo3.GetBinContent(2),
histThr1.GetBinContent(2),
histThr2.GetBinContent(2),
histThr3.GetBinContent(2)
]
xLabels = [
'Event count',
'L1Muon objects',
'HO match (No Thr.)',
'HO match > 0.2 GeV',
# '+ HO acceptance'
]
norm = yValues[0]
for i,v in enumerate(yValues):
yValues[i] = v/norm
c = TCanvas('cutflowCanvas','PostLS1 Single #mu gun',1200,1200)
hist = TH1D("cutflow","PostLS1 Single #mu gun",len(xLabels),0,len(xLabels))
for i,v in enumerate(xLabels):
hist.SetBinContent(i+1,yValues[i])
hist.GetXaxis().SetBinLabel(i+1,str(v))
hist.SetStats(0)
hist.GetYaxis().SetTitle('rel. Fraction')
hist.GetYaxis().SetRangeUser(0.7,1.1)
hist.SetLineColor(PlotStyle.colorRwthDarkBlue)
hist.SetLabelFont(62)
hist.SetTitleFont(62)
hist.Draw("")
histTrgCount = file.Get('hoMuonAnalyzer/count/L1_SingleMuOpen_Count')
hist2 = TH1D("l1TrgCount","PostLS1 Single #mu gun",len(xLabels),0,len(xLabels))
hist2.SetBinContent(1,histTrgCount.GetBinContent(2)/norm)
hist2.SetFillStyle(3002)
hist2.SetFillColor(PlotStyle.colorRwthMagenta)
hist2.SetLineColor(PlotStyle.colorRwthMagenta)
hist2.Draw("same")
paveText = TPaveText(0.51,0.75,0.9,0.9,'NDC')
paveText.AddText('%s: %.2f%% #pm %.2f%%' % (xLabels[1],yValues[1]*100,calcSigma(yValues[1]*norm,norm)*100))
paveText.AddText('%s: %.2f%% #pm %.2f%%' % (xLabels[2],yValues[2]*100,calcSigma(yValues[2]*norm,norm)*100))
paveText.AddText('%s: %.2f%% #pm %.2f%%' % (xLabels[3],yValues[3]*100,calcSigma(yValues[3]*norm,norm)*100))
paveText.SetBorderSize(1)
paveText.Draw()
legend = TLegend(0.1,0.8,0.45,0.9)
legend.AddEntry(hist2,"Fraction with L1 Single #mu Trg.","f")
legend.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c.Update()
c.SaveAs("plots/cutflow/cutflowL1.png")
c.SaveAs("plots/cutflow/cutflowL1.pdf")
c.SaveAs("plots/cutflow/cutflowL1.root")
nTotal = histEvents.GetBinContent(2)
nL1 = histL1Muons.GetBinContent(2)
nL1AndHo = histHo1.GetBinContent(2)
nL1AndHoAcc = histHo2.GetBinContent(2)
nL1AndHoAccNotDead = histHo3.GetBinContent(2)
nL1AndHoAccThr = histHo4.GetBinContent(2)
nL1AndHoThr = histThr1.GetBinContent(2)
nL1AndHoThrAcc = histThr2.GetBinContent(2)
nL1AndHoThrAccNotDead = histThr3.GetBinContent(2)
print '%s' % (80*'#')
print '%s' % (80*'#')
print '%25s%d' % ('nEvents:\t',nTotal)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('nL1:\t',nL1,nL1/nTotal*100,calcSigma(nL1, nTotal)*100)
print '%s' % (80*'#')
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHo:\t',nL1AndHo,nL1AndHo/nL1*100,calcSigma(nL1AndHo, nL1)*100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoAcc:\t',nL1AndHoAcc,nL1AndHoAcc/nL1*100,calcSigma(nL1AndHoAcc, nL1)*100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoAccNotDead:\t',nL1AndHoAccNotDead,nL1AndHoAccNotDead/nL1*100,calcSigma(nL1AndHoAccNotDead, nL1)*100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoAccThr:\t',nL1AndHoAccThr,nL1AndHoAccThr/nL1*100,calcSigma(nL1AndHoAccThr, nL1)*100)
print '%s' % (80*'#')
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoThr:\t',nL1AndHoThr,nL1AndHoThr/nL1*100,calcSigma(nL1AndHoThr, nL1)*100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoThrAcc:\t',nL1AndHoThrAcc,nL1AndHoThrAcc/nL1*100,calcSigma(nL1AndHoThrAcc,nL1)*100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoThrAccNotDead:\t',nL1AndHoThrAccNotDead,nL1AndHoThrAccNotDead/nL1*100,calcSigma(nL1AndHoThrAccNotDead, nL1)*100)
print '%s' % (80*'#')
print '%s' % (80*'#')
return c
def doPlotCutflowNoL1(filename = 'L1MuonHistogram.root'):
if(DEBUG):
print 'Opening file:',filename
file = TFile.Open(filename)
if(file == None):
print 'Error opening file:',filename
histoNames = [
'hoMuonAnalyzer/count/NoSingleMu_Count',
'hoMuonAnalyzer/count/NoSingleMuInGa_Count',
'hoMuonAnalyzer/count/NoSingleMuInGa5x5_Count',
'hoMuonAnalyzer/count/NoSingleMuInGa3x3_Count',
'hoMuonAnalyzer/count/NoSingleMuInGaCentral_Count',
'hoMuonAnalyzer/count/Events_Count'
]
histograms = []
yValues = []
for s in histoNames:
histograms.append(file.Get(s))
yValues.append(histograms[-1].GetBinContent(2))
nEvents = histograms[-1].GetEntries()
xLabels = [
'No Single #mu trigger',
'TDMI in GA',
'HO > 0.2 GeV in 5x5',
'HO > 0.2 GeV in 3x3',
'HO > 0.2 GeV in Central'
]
c = TCanvas('eventCountCanvas','PostLS1 Single #mu gun',1200,1200)
hist = TH1D("eventCount","PostLS1 Single #mu gun",len(xLabels)-1,0,len(xLabels))
paveText = TPaveText(0.51,0.75,0.9,0.9,'NDC')
paveText.AddText('%s: %d => %.2f%% #pm %.2f%%' % (xLabels[0],yValues[0],yValues[0]/nEvents*100,calcSigma(yValues[0], nEvents)*100))
paveText.AddText('%s: %d => %.2f%% #pm %.2f%%' % (xLabels[2],yValues[2],yValues[2]/yValues[1]*100,calcSigma(yValues[2], yValues[1])*100))
paveText.AddText('%s: %d => %.2f%% #pm %.2f%%' % (xLabels[4],yValues[4],yValues[4]/yValues[1]*100,calcSigma(yValues[4], yValues[1])*100))
paveText.SetBorderSize(1)
print yValues[1]
norm = yValues[1]
for i,v in enumerate(xLabels):
if(i == 0):
continue
hist.SetBinContent(i,yValues[i]/norm)
hist.GetXaxis().SetBinLabel(i,str(v))
hist.SetStats(0)
hist.SetLineColor(PlotStyle.colorRwthDarkBlue)
hist.GetYaxis().SetTitle('#')
# hist.GetYaxis().SetRangeUser(0.5,1.1)
hist.SetLabelFont(62)
hist.SetTitleFont(62)
hist.SetMinimum(0)
print yValues
hist.Draw("")
paveText.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c.Update()
c.SaveAs("plots/cutflow/cutflowTdmiNoTrg.png")
c.SaveAs("plots/cutflow/cutflowTdmiNoTrg.pdf")
c.SaveAs("plots/cutflow/cutflowTdmiNoTrg.root")
return c,hist
def plotDeltaEtaDeltaPhi(folder,
sourceHistogram='L1MuonWithHoMatch_DeltaEtaDeltaPhi',
sourceFile='L1MuonHistogram.root',
storeSubdir='deltaEtaDeltaPhi'):
if (DEBUG):
print prefix + 'was called'
if (folder == None):
print prefix + 'Error! Filename as first argument needed.'
return
if (not os.path.exists('plots')):
os.mkdir('plots')
if (not os.path.exists('plots/' + storeSubdir)):
os.mkdir('plots/' + storeSubdir)
filename = folder + '/' + sourceFile
if (not os.path.exists(filename)):
print 'Error! File ' + filename + ' does not exist!'
return
print prefix + 'Opening file:', filename
file = TFile.Open(filename)
PlotStyle.setPlotStyle()
h2dDeltaEtaDeltaPhi = file.Get("hoMuonAnalyzer/etaPhi/" + sourceHistogram)
hEventCount = file.Get("hoMuonAnalyzer/count/Events_Count")
hNoTrgCount = file.Get("hoMuonAnalyzer/count/NoSingleMu_Count")
if (h2dDeltaEtaDeltaPhi == None):
print 'Could not get histogram %s from file %s' % (
"hoMuonAnalyzer/etaPhi/" + sourceHistogram, filename)
canv = TCanvas("canvasDeltaEtaDeltaPhi" + sourceHistogram,
'canvasDeltaEtaDeltaPhi', 1200, 1200)
canv.SetLogz()
h2dDeltaEtaDeltaPhi.GetXaxis().SetRangeUser(-.45, .45)
h2dDeltaEtaDeltaPhi.GetXaxis().SetTitle("#Delta#eta")
h2dDeltaEtaDeltaPhi.GetYaxis().SetRangeUser(-.45, .45)
h2dDeltaEtaDeltaPhi.GetYaxis().SetTitle("#Delta#phi")
h2dDeltaEtaDeltaPhi.GetZaxis().SetTitle("N")
h2dDeltaEtaDeltaPhi.Draw("colz")
boxList = drawHoBoxes(canv)
canv.Update()
pal = h2dDeltaEtaDeltaPhi.GetListOfFunctions().FindObject("palette")
pal.SetX2NDC(0.92)
stats = h2dDeltaEtaDeltaPhi.GetListOfFunctions().FindObject("stats")
stats.SetX1NDC(.1)
stats.SetX2NDC(.2)
stats.SetY1NDC(.1)
stats.SetY2NDC(.25)
paveText = TPaveText(0.2, 0.1, 0.65, 0.2, 'NDC')
paveText.AddText('Total Events: %d' % (hEventCount.GetBinContent(2)))
paveText.AddText('Events with no Single #mu Trg: %d' %
(hNoTrgCount.GetBinContent(2)))
paveText.SetBorderSize(1)
paveText.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
legend = TLegend(0.7, 0.8, 0.9, 0.9)
legend.AddEntry(boxList[0], "HO tile dimensions", "le")
legend.Draw()
canv.SaveAs("plots/" + storeSubdir + "/" + sourceHistogram + ".png")
canv.SaveAs("plots/" + storeSubdir + "/" + sourceHistogram + ".pdf")
canv.SaveAs("plots/" + storeSubdir + "/" + sourceHistogram + ".root")
SetOwnership(h2dDeltaEtaDeltaPhi, False)
return [
h2dDeltaEtaDeltaPhi, canv, legend, boxList, stats, pal, paveText, label
]
def plotFailedHoMatchesNoTrg():
c = TCanvas("cFailedHoMatchesNoTrg","cFailedHoMatchesNoTrg",1200,1200)
c.cd().SetRightMargin(0.25)
c.cd().SetLeftMargin(0.08)
#Graph for in events not in geometric acceptance
grNotInGaNC = file.Get("hoMuonAnalyzer/graphs/NoTrgTdmiNotInGA")
grNotInGa = PlotStyle.convertToHcalCoords(grNotInGaNC)
grNotInGa.GetYaxis().SetTitle("i#phi / a.u.")
grNotInGa.GetXaxis().SetTitle("i#eta / a.u.")
grNotInGa.GetYaxis().SetTitleFont(62)
grNotInGa.GetYaxis().SetLabelFont(62)
grNotInGa.SetMarkerStyle(6)
grNotInGa.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
grNotInGa.SetTitle("#eta #phi plot failed HO matches in no Single #mu Trg. events")
grNotInGa.Draw("AP")
#Graph of events with HO match below threshold
grHoBelowThrNC = file.Get("hoMuonAnalyzer/graphs/NoTrgTdmiBelowThr")
grHoBelowThr = PlotStyle.convertToHcalCoords(grHoBelowThrNC)
grHoBelowThr.SetMarkerStyle(20)
grHoBelowThr.SetMarkerSize(1.2)
grHoBelowThr.SetMarkerColor( PlotStyle.colorRwthGruen )
grHoBelowThr.Draw("samep")
#Graph for events where HO matching failed
grHoMatchFailNC = file.Get("hoMuonAnalyzer/graphs/NoTrgHoMatchFail")
grHoMatchFail = PlotStyle.convertToHcalCoords(grHoMatchFailNC)
grHoMatchFail.SetMarkerStyle(21)
grHoMatchFail.SetMarkerSize(1)
grHoMatchFail.SetMarkerColor( PlotStyle.colorRwthRot )
grHoMatchFail.Draw("samep")
#Draw chimneys
chimney1Converted = PlotStyle.convertToHcalCoords(PlotStyle.chimney1)
chimney2Converted = PlotStyle.convertToHcalCoords(PlotStyle.chimney2)
chimney1Converted.SetLineColor(PlotStyle.colorRwthMagenta)
chimney2Converted.SetLineColor(PlotStyle.colorRwthMagenta)
chimney1Converted.Draw('same')
chimney2Converted.Draw('same')
#cms private label
label = TPaveText(PlotStyle.getLabelCmsPrivateSimulation(x1ndc=0.5,x2ndc=0.75))
label.Draw()
#create extra marker for the legend
marker = TMarker(1,1,2)
marker.SetMarkerSize(3)
marker.SetMarkerColor(PlotStyle.colorRwthDarkBlue)
#legend
legend = TLegend(0.75,0.8,0.99,0.9)
legend.AddEntry(chimney2Converted,"chimney","l")
legend.AddEntry(marker,'Not in GA','p')
legend.AddEntry(grHoMatchFail,'HO match fail','p')
legend.AddEntry(grHoBelowThr,'HO match < 0.2 GeV','p')
legend.Draw()
nNotMatching = grHoMatchFail.GetN()
nNotInGa = grNotInGa.GetN()
nBelowThr = grHoBelowThr.GetN()
nTotal = nNotMatching + nNotInGa + nBelowThr
print 80*'#'
print 'Not Matching:\t%5d/%d\t=> %5.2f%% +- %f%%' % (nNotMatching,nTotal,nNotMatching/float(nTotal)*100,PlotStyle.calcSigma(nNotMatching,float(nTotal)))
print 'Not in GA:\t%5d/%d\t=> %5.2f%% +- %f%%' % (nNotInGa,nTotal,nNotInGa/float(nTotal)*100,PlotStyle.calcSigma(nNotInGa,float(nTotal)))
print 'Below Thr:\t%5d/%d\t=> %5.2f%% +- %f%%' % (nBelowThr,nTotal,nBelowThr/float(nTotal)*100,PlotStyle.calcSigma(nBelowThr,float(nTotal)))
print 80*'#'
c.Update()
c.SaveAs('plots/graphsEtaPhi/gNoTrgHoMatchingFailed.png')
c.SaveAs('plots/graphsEtaPhi/gNoTrgHoMatchingFailed.pdf')
return c,grNotInGa,label,chimney1Converted,chimney2Converted,legend,grHoMatchFail,grHoBelowThr
def plotDigiTest():
#Prepare canvas
PlotStyle.setPlotStyle()
canvas = TCanvas("canvasBxId","BXID",1200,1200)
canvas.SetLogy()
histBx = file.Get("hoMuonAnalyzer/hoDigi_BxId")
histBx.GetXaxis().SetRangeUser(-3,3)
histBx.SetLineWidth(3)
histBx.Scale(1/histBx.Integral())
histBx.SetStats(0)
histBx.SetLineColor(PlotStyle.colorRwthDarkBlue)
histBx.Draw('')
#Add label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
# #Add legend
# legend = TLegend(0.7,0.65,0.9,0.8)
# legend.AddEntry(histBx,"DT Only","l")
# legend.AddEntry(histNew,"DT shifted with HO","l")
# legend.SetBorderSize(1)
# legend.Draw()
# #Add text object
# pText = TPaveText(0.52,0.8,0.9,0.9,'NDC')
# pText.AddText('Fraction in BX ID 0: %6.3f%% #pm %6.3f%%' % (dtBx0/float(dtBxTotal)*100,calcSigma(dtBx0, dtBxTotal)))
# pText.AddText('Fraction in BX ID 0 (HO corr.): %6.3f%% #pm %6.3f%%' % (correctedRightFraction*100,calcSigma(correctedBxId0, correctedTotal)))
# pText.SetBorderSize(1)
# pText.SetFillColor(0)
# pText.Draw()
#
pText2 = TPaveText(0.7,0.85,0.9,0.9,'NDC')
pText2.AddText('Entries: %d' % (histBx.GetEntries()))
pText2.SetBorderSize(1)
pText2.SetFillColor(0)
pText2.Draw()
canvas.Update()
canvas.SaveAs('plots/timing/digiBxId.pdf')
canvas.SaveAs('plots/timing/digiBxId.png')
canvasAdcSum = TCanvas("cavasAdcSum","ADC Sum",1200,1200)
canvasAdcSum.SetLogy()
histAdcSum = file.Get("hoMuonAnalyzer/hoDigiAdcSum_Multiplicity")
histAdcSum.GetXaxis().SetRangeUser(-0.5,500)
histAdcSum.GetXaxis().SetTitle('ADC counts')
histAdcSum.GetYaxis().SetTitle('#')
histAdcSum.SetLineWidth(3)
histAdcSum.SetStats(0)
histAdcSum.SetLineColor(PlotStyle.colorRwthDarkBlue)
histAdcSum.Draw()
canvasAdcSum.Update()
canvasAdcSum.SaveAs('plots/timing/digiAdcSum.pdf')
canvasAdcSum.SaveAs('plots/timing/digiAdcSum.png')
canvasTS4 = TCanvas("cavasTS4","TS4",1200,1200)
canvasTS4.SetLogy()
histAdcTS4 = file.Get("hoMuonAnalyzer/hoDigiAdcTS4_Multiplicity")
histAdcTS4.GetXaxis().SetRangeUser(-0.5,500)
histAdcTS4.GetXaxis().SetTitle('ADC counts')
histAdcTS4.GetYaxis().SetTitle('#')
histAdcTS4.SetLineWidth(3)
histAdcTS4.SetStats(0)
histAdcTS4.SetLineColor(PlotStyle.colorRwthDarkBlue)
histAdcTS4.Draw()
canvasTS4.Update()
canvasTS4.SaveAs('plots/timing/digiAdcTs4.pdf')
canvasTS4.SaveAs('plots/timing/digiAdcTs4.png')
print histAdcSum.Integral(histAdcSum.FindBin(17),histAdcSum.FindBin(500))
return canvas, histBx,label,canvasAdcSum,histAdcSum,canvasTS4,histAdcTS4
def plotDigiTest():
#Prepare canvas
PlotStyle.setPlotStyle()
canvas = TCanvas("canvasBxId", "BXID", 1200, 1200)
canvas.SetLogy()
histBx = file.Get("hoMuonAnalyzer/hoDigi_BxId")
histBx.GetXaxis().SetRangeUser(-3, 3)
histBx.SetLineWidth(3)
histBx.Scale(1 / histBx.Integral())
histBx.SetStats(0)
histBx.SetLineColor(PlotStyle.colorRwthDarkBlue)
histBx.Draw('')
#Add label
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
# #Add legend
# legend = TLegend(0.7,0.65,0.9,0.8)
# legend.AddEntry(histBx,"DT Only","l")
# legend.AddEntry(histNew,"DT shifted with HO","l")
# legend.SetBorderSize(1)
# legend.Draw()
# #Add text object
# pText = TPaveText(0.52,0.8,0.9,0.9,'NDC')
# pText.AddText('Fraction in BX ID 0: %6.3f%% #pm %6.3f%%' % (dtBx0/float(dtBxTotal)*100,calcSigma(dtBx0, dtBxTotal)))
# pText.AddText('Fraction in BX ID 0 (HO corr.): %6.3f%% #pm %6.3f%%' % (correctedRightFraction*100,calcSigma(correctedBxId0, correctedTotal)))
# pText.SetBorderSize(1)
# pText.SetFillColor(0)
# pText.Draw()
#
pText2 = TPaveText(0.7, 0.85, 0.9, 0.9, 'NDC')
pText2.AddText('Entries: %d' % (histBx.GetEntries()))
pText2.SetBorderSize(1)
pText2.SetFillColor(0)
pText2.Draw()
canvas.Update()
canvas.SaveAs('plots/timing/digiBxId.pdf')
canvas.SaveAs('plots/timing/digiBxId.png')
canvasAdcSum = TCanvas("cavasAdcSum", "ADC Sum", 1200, 1200)
canvasAdcSum.SetLogy()
histAdcSum = file.Get("hoMuonAnalyzer/hoDigiAdcSum_Multiplicity")
histAdcSum.GetXaxis().SetRangeUser(-0.5, 500)
histAdcSum.GetXaxis().SetTitle('ADC counts')
histAdcSum.GetYaxis().SetTitle('#')
histAdcSum.SetLineWidth(3)
histAdcSum.SetStats(0)
histAdcSum.SetLineColor(PlotStyle.colorRwthDarkBlue)
histAdcSum.Draw()
canvasAdcSum.Update()
canvasAdcSum.SaveAs('plots/timing/digiAdcSum.pdf')
canvasAdcSum.SaveAs('plots/timing/digiAdcSum.png')
canvasTS4 = TCanvas("cavasTS4", "TS4", 1200, 1200)
canvasTS4.SetLogy()
histAdcTS4 = file.Get("hoMuonAnalyzer/hoDigiAdcTS4_Multiplicity")
histAdcTS4.GetXaxis().SetRangeUser(-0.5, 500)
histAdcTS4.GetXaxis().SetTitle('ADC counts')
histAdcTS4.GetYaxis().SetTitle('#')
histAdcTS4.SetLineWidth(3)
histAdcTS4.SetStats(0)
histAdcTS4.SetLineColor(PlotStyle.colorRwthDarkBlue)
histAdcTS4.Draw()
canvasTS4.Update()
canvasTS4.SaveAs('plots/timing/digiAdcTs4.pdf')
canvasTS4.SaveAs('plots/timing/digiAdcTs4.png')
print histAdcSum.Integral(histAdcSum.FindBin(17), histAdcSum.FindBin(500))
return canvas, histBx, label, canvasAdcSum, histAdcSum, canvasTS4, histAdcTS4
def doPlotCutflowNoL1(filename='L1MuonHistogram.root'):
if (DEBUG):
print 'Opening file:', filename
file = TFile.Open(filename)
if (file == None):
print 'Error opening file:', filename
histoNames = [
'hoMuonAnalyzer/count/NoSingleMu_Count',
'hoMuonAnalyzer/count/NoSingleMuInGa_Count',
'hoMuonAnalyzer/count/NoSingleMuInGa5x5_Count',
'hoMuonAnalyzer/count/NoSingleMuInGa3x3_Count',
'hoMuonAnalyzer/count/NoSingleMuInGaCentral_Count',
'hoMuonAnalyzer/count/Events_Count'
]
histograms = []
yValues = []
for s in histoNames:
histograms.append(file.Get(s))
yValues.append(histograms[-1].GetBinContent(2))
nEvents = histograms[-1].GetEntries()
xLabels = [
'No Single #mu trigger', 'TDMI in GA', 'HO > 0.2 GeV in 5x5',
'HO > 0.2 GeV in 3x3', 'HO > 0.2 GeV in Central'
]
c = TCanvas('eventCountCanvas', 'PostLS1 Single #mu gun', 1200, 1200)
hist = TH1D("eventCount", "PostLS1 Single #mu gun",
len(xLabels) - 1, 0, len(xLabels))
paveText = TPaveText(0.51, 0.75, 0.9, 0.9, 'NDC')
paveText.AddText('%s: %d => %.2f%% #pm %.2f%%' %
(xLabels[0], yValues[0], yValues[0] / nEvents * 100,
calcSigma(yValues[0], nEvents) * 100))
paveText.AddText('%s: %d => %.2f%% #pm %.2f%%' %
(xLabels[2], yValues[2], yValues[2] / yValues[1] * 100,
calcSigma(yValues[2], yValues[1]) * 100))
paveText.AddText('%s: %d => %.2f%% #pm %.2f%%' %
(xLabels[4], yValues[4], yValues[4] / yValues[1] * 100,
calcSigma(yValues[4], yValues[1]) * 100))
paveText.SetBorderSize(1)
print yValues[1]
norm = yValues[1]
for i, v in enumerate(xLabels):
if (i == 0):
continue
hist.SetBinContent(i, yValues[i] / norm)
hist.GetXaxis().SetBinLabel(i, str(v))
hist.SetStats(0)
hist.SetLineColor(PlotStyle.colorRwthDarkBlue)
hist.GetYaxis().SetTitle('#')
# hist.GetYaxis().SetRangeUser(0.5,1.1)
hist.SetLabelFont(62)
hist.SetTitleFont(62)
hist.SetMinimum(0)
hist.Draw("")
paveText.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c.Update()
c.SaveAs("plots/cutflow/cutflowTdmiNoTrg.png")
c.SaveAs("plots/cutflow/cutflowTdmiNoTrg.pdf")
c.SaveAs("plots/cutflow/cutflowTdmiNoTrg.root")
return c, hist
def doPlotCutflow(filename='L1MuonHistogram.root'):
PlotStyle.setPlotStyle()
if (DEBUG):
print 'Opening file:', filename
file = TFile.Open(filename)
if (file == None):
print 'Error opening file:', filename
#Total event count
tagEvents = 'hoMuonAnalyzer/count/Events_Count'
tagL1Muons = 'hoMuonAnalyzer/count/L1MuonPresent_Count'
#Counters without energy threshold
tagHo1 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatch_Count'
tagHo2 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatchInAcc_Count'
tagHo3 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatchInAccNotDead_Count'
tagHo4 = 'hoMuonAnalyzer/count/L1MuonPresentHoMatchInAccThr_Count'
#Counters with energy threshold
tagThr1 = 'hoMuonAnalyzer/count/L1MuonAboveThr_Count'
tagThr2 = 'hoMuonAnalyzer/count/L1MuonAboveThrInAcc_Count'
tagThr3 = 'hoMuonAnalyzer/count/L1MuonAboveThrInAccNotDead_Count'
histEvents = file.Get(tagEvents)
histL1Muons = file.Get(tagL1Muons)
histHo1 = file.Get(tagHo1)
histHo2 = file.Get(tagHo2)
histHo3 = file.Get(tagHo3)
histHo4 = file.Get(tagHo4)
histThr1 = file.Get(tagThr1)
histThr2 = file.Get(tagThr2)
histThr3 = file.Get(tagThr3)
yValues = [
histEvents.GetBinContent(2),
histL1Muons.GetBinContent(2),
histHo1.GetBinContent(2),
# histHo2.GetBinContent(2),
# histHo3.GetBinContent(2),
histThr1.GetBinContent(2),
histThr2.GetBinContent(2),
histThr3.GetBinContent(2)
]
xLabels = [
'Event count',
'L1Muon objects',
'HO match (No Thr.)',
'HO match > 0.2 GeV',
# '+ HO acceptance'
]
norm = yValues[0]
for i, v in enumerate(yValues):
yValues[i] = v / norm
c = TCanvas('cutflowCanvas', 'PostLS1 Single #mu gun', 1200, 1200)
hist = TH1D("cutflow", "PostLS1 Single #mu gun", len(xLabels), 0,
len(xLabels))
for i, v in enumerate(xLabels):
hist.SetBinContent(i + 1, yValues[i])
hist.GetXaxis().SetBinLabel(i + 1, str(v))
hist.SetStats(0)
hist.GetYaxis().SetTitle('rel. Fraction')
hist.GetYaxis().SetRangeUser(0.7, 1.1)
hist.SetLineColor(PlotStyle.colorRwthDarkBlue)
hist.SetLabelFont(62)
hist.SetTitleFont(62)
hist.Draw("")
histTrgCount = file.Get('hoMuonAnalyzer/count/L1_SingleMuOpen_Count')
hist2 = TH1D("l1TrgCount", "PostLS1 Single #mu gun", len(xLabels), 0,
len(xLabels))
hist2.SetBinContent(1, histTrgCount.GetBinContent(2) / norm)
hist2.SetFillStyle(3002)
hist2.SetFillColor(PlotStyle.colorRwthMagenta)
hist2.SetLineColor(PlotStyle.colorRwthMagenta)
hist2.Draw("same")
paveText = TPaveText(0.51, 0.75, 0.9, 0.9, 'NDC')
paveText.AddText('%s: %.2f%% #pm %.2f%%' %
(xLabels[1], yValues[1] * 100,
calcSigma(yValues[1] * norm, norm) * 100))
paveText.AddText('%s: %.2f%% #pm %.2f%%' %
(xLabels[2], yValues[2] * 100,
calcSigma(yValues[2] * norm, norm) * 100))
paveText.AddText('%s: %.2f%% #pm %.2f%%' %
(xLabels[3], yValues[3] * 100,
calcSigma(yValues[3] * norm, norm) * 100))
paveText.SetBorderSize(1)
paveText.Draw()
legend = TLegend(0.1, 0.8, 0.45, 0.9)
legend.AddEntry(hist2, "Fraction with L1 Single #mu Trg.", "f")
legend.Draw()
label = PlotStyle.getLabelCmsPrivateSimulation()
label.Draw()
c.Update()
c.SaveAs("plots/cutflow/cutflowL1.png")
c.SaveAs("plots/cutflow/cutflowL1.pdf")
c.SaveAs("plots/cutflow/cutflowL1.root")
nTotal = histEvents.GetBinContent(2)
nL1 = histL1Muons.GetBinContent(2)
nL1AndHo = histHo1.GetBinContent(2)
nL1AndHoAcc = histHo2.GetBinContent(2)
nL1AndHoAccNotDead = histHo3.GetBinContent(2)
nL1AndHoAccThr = histHo4.GetBinContent(2)
nL1AndHoThr = histThr1.GetBinContent(2)
nL1AndHoThrAcc = histThr2.GetBinContent(2)
nL1AndHoThrAccNotDead = histThr3.GetBinContent(2)
print '%s' % (80 * '#')
print '%s' % (80 * '#')
print '%25s%d' % ('nEvents:\t', nTotal)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('nL1:\t', nL1, nL1 / nTotal * 100,
calcSigma(nL1, nTotal) * 100)
print '%s' % (80 * '#')
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHo:\t', nL1AndHo,
nL1AndHo / nL1 * 100,
calcSigma(nL1AndHo, nL1) * 100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoAcc:\t', nL1AndHoAcc,
nL1AndHoAcc / nL1 * 100,
calcSigma(nL1AndHoAcc, nL1) * 100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % (
'L1AndHoAccNotDead:\t', nL1AndHoAccNotDead, nL1AndHoAccNotDead / nL1 *
100, calcSigma(nL1AndHoAccNotDead, nL1) * 100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % (
'L1AndHoAccThr:\t', nL1AndHoAccThr, nL1AndHoAccThr / nL1 * 100,
calcSigma(nL1AndHoAccThr, nL1) * 100)
print '%s' % (80 * '#')
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % ('L1AndHoThr:\t', nL1AndHoThr,
nL1AndHoThr / nL1 * 100,
calcSigma(nL1AndHoThr, nL1) * 100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % (
'L1AndHoThrAcc:\t', nL1AndHoThrAcc, nL1AndHoThrAcc / nL1 * 100,
calcSigma(nL1AndHoThrAcc, nL1) * 100)
print '%25s%d\t=>\t%.2f%% +/- %.2f%%' % (
'L1AndHoThrAccNotDead:\t', nL1AndHoThrAccNotDead, nL1AndHoThrAccNotDead
/ nL1 * 100, calcSigma(nL1AndHoThrAccNotDead, nL1) * 100)
print '%s' % (80 * '#')
print '%s' % (80 * '#')
return c