# Compare parameter values
for par in range(4):
test = parGraphs[par]
val = validateGraphs[par]
myPainter.drawSeveralObservedLimits(
[test, val], ["Ours", "SWIFT"],
"{0}/parameterEvolution_par{1}_{2}".format(
folder, par, mystring),
"Bin estimated",
"Parameter value",
luminosity,
13,
plotxlow,
plotxhigh,
"automatic",
"automatic",
doLogY=False,
doLogX=False,
doRectangular=False,
doLegendLocation="Right",
ATLASLabelLocation="BottomL",
isTomBeingDumb=False,
addHorizontalLines=[],
pairNeighbouringLines=False,
cutLocation="Right")
# Make plots of bins used in estimation
theirs = testWindowsPlot.Clone("validateWindowRanges")
theirs.Reset()
for ybin in range(1, len(vec_validateWindows_center) + 1):
#newgraph.SetPoint(np,d1/1000.0,d2/0.82) # Dividing by 0.82 to divide out efficiency NOTE
# FIXME newgraph.SetPoint(np,d1,d2/0.82) # Dividing by 0.82 to divide out efficiency NOTE No divide by 1000, as want GeV
newgraph.SetPoint(
np, d1, d2
) # Dividing by 0.82 to divide out efficiency NOTE No divide by 1000, as want GeV
#if d1/1000 > findMaxRange :
# findMaxRange = d1/1000
if d1 > findMaxRange:
findMaxRange = d1
shiftedgraphs.append(newgraph)
trueMaxRange = round(findMaxRange * 2) / 2 + 100
#trueMaxRange = round(findMaxRange * 2) / 2 + 0.5
# Lydia myPainter.drawSeveralObservedLimits(shiftedgraphs,names,folderextension+"GenericGaussians"+plotextension,"m_{G} [TeV]",\
# "#sigma #times #it{A} #times BR [pb]",luminosity,13,1,trueMaxRange,0.004,5,[])
myPainter.drawSeveralObservedLimits(shiftedgraphs,names,folderextension+"GenericGaussians"+plotextension,"m_{G} [GeV]",\
"#sigma #times #it{A} #times BR [pb]",luminosity,13,203,trueMaxRange,1E-2,10,[])
print "For table in note:"
mostMasses = results[sorted(results.keys())[0]]
for mass in sorted(mostMasses):
sys.stdout.write("{0}".format(int(mass)))
sys.stdout.write(" & ")
for width in sorted(results.keys()):
if mass in results[width].keys():
#sys.stdout.write('{0}'.format(round(results[width][mass]/0.82,3)))# Dividing by 0.82 to divide out efficiency NOTE
# FIXME sys.stdout.write('{0}'.format(float('%.2g' % (results[width][mass]/0.82)))) # Dividing by 0.82 to divide out efficiency NOTE
sys.stdout.write('{0}'.format(
float('%.2g' % (results[width][mass]))
)) # Dividing by 0.82 to divide out efficiency NOTE
#sys.stdout.write("{0}".format(results[width][mass]))
d1, d2 = ROOT.Double(0), ROOT.Double(0)
findMaxRange = 0
for graph in graphs:
newgraph = graph.Clone()
newgraph.SetName(graph.GetName() + "_scaled")
for np in range(newgraph.GetN()):
newgraph.GetPoint(np, d1, d2)
newgraph.SetPoint(np, d1 / 1000.0, d2)
if d1 / 1000 > findMaxRange:
findMaxRange = d1 / 1000
shiftedgraphs.append(newgraph)
trueMaxRange = round(findMaxRange * 2) / 2 + 0.5
myPainter.cutstring = "|y*| < 0.6"
myPainter.drawSeveralObservedLimits(shiftedgraphs,names,folderextension+"GenericGaussians"+plotextension,"m_{G} [TeV]",\
"#sigma #times #it{A} #times BR [pb]",luminosity,13,0.9,7.2,1E-2,50,[],ATLASLabelLocation="BottomR",cutLocation="Left")
print "For table in note:"
# mostMasses = results[sorted(results.keys())[0]]
print results.keys()[0]
groupMasses = []
for key, value in results.iteritems(): #
groupMasses = groupMasses + value.keys()
groupMasses = list(set(groupMasses))
print groupMasses
mostMasses = sorted(groupMasses)
for mass in sorted(mostMasses):
sys.stdout.write("{0}".format(float('%.3g' % (mass / 1000.0))))
sys.stdout.write(" & ")
for width in sorted(results.keys()):
"Nuisance parameter [0 ,1]")
else:
myPainter.drawPosteriorsWithCLs(
pairs, shortnames, luminosity, Ecm, outputname, 0,
True, False, False, False, [gaushist], False,
"Nuisance parameter, #sigma")
inputfile.Close()
##################################################
# Overlay observed limits for each Z' signal
##################################################
myPainter.drawSeveralObservedLimits(
SeveralLimitsMaterials["observed"], SeveralLimitsMaterials["legend"],
folderextension + "MultiLimits" + plotextension,
SignalAxes['ZPrime0p10']["X"], SignalAxes['ZPrime0p10']["Y"], luminosity,
Ecm, 200, 1400, 1.5E-2, 1) #yranges['ZPrime0p10'][1])
##################################################
# Signal overlay plots, 'Fancy figures' no signals
##################################################
outputName = folderextension + "FancyFigure1_NoSignals" + plotextension
myPainter.drawDataAndFitWithSignalsOverSignificances(datahist,fithist,basicSignificancePlot,residual,[],\
[],[],[],"m_{jj} [GeV]","Events","[data-fit]/fit","Significance ",\
outputName,luminosity,Ecm,firstBin,lastBin-1,True,bumpLowEdge,bumpHighEdge,True,False,False,"",False,-999,False,-999,-999,None,5E3,5E6)
outputName = folderextension + "FancyFigure1WithFitLabels_NoSignals" + plotextension
myPainter.drawDataAndFitWithSignalsOverSignificances(datahist,fithist,basicSignificancePlot,residual,[],\
[],[],[],"m_{jj} [GeV]","Events","[data-fit]/fit","Significance ",\
