def makePlots(ratios_J100,ratios_J75,J100inputfileform,J75inputfileform,makeCombinedPlot = False):
(dataset, luminosity, cutstring) = ("J100yStar06", 29.3*1000, "|y*| < 0.6" )
if len(ratios_J100) == 1: cutstring += " " + names['%1.2f'%(ratios_J100[0])]
J100_plots = getGaussianLimits( J100inputfileform, ratios_J100, dataset, luminosity, cutstring, makePlot = not makeCombinedPlot)
(dataset, luminosity, cutstring) = ("J75yStar03", 3.57*1000, "|y*| < 0.3")
if len(ratios_J100) == 1: cutstring += " " + names['%1.2f'%(ratios_J75[0])]
J75_plots = getGaussianLimits( J75inputfileform, ratios_J75, dataset, luminosity, cutstring, makePlot = not makeCombinedPlot)
if makeCombinedPlot:
allobserved = []
allexpected = []
allexpected1Sigma = []
allexpected2Sigma = []
all_ratios = list(set().union(ratios_J100,ratios_J75))
all_ratios.sort()
for r in all_ratios:
SR_dicts = [J100_plots,J75_plots]
allobserved.append([d[r]['obs'] if r in d else None for d in SR_dicts])
allexpected.append([d[r]['exp'] if r in d else None for d in SR_dicts])
allexpected1Sigma.append([d[r]['exp1'] if r in d else None for d in SR_dicts if r == 0])
allexpected2Sigma.append([d[r]['exp2'] if r in d else None for d in SR_dicts if r == 0])
# Initialize painter
myPainter = Morisot()
# Internal
if len(ratios_J100) > 1 or len(ratios_J75) > 1:
myPainter.setColourPalette("Tropical")
else: myPainter.setColourPalette("ATLAS")
myPainter.setLabelType(2)
myPainter.cutstring = '#scale[0.9]{|y*| < 0.3, m_{jj} < 700 GeV};#scale[0.9]{|y*| < 0.6, m_{jj} > 700 GeV}'
outfolder = "./plots/"
outname = outfolder+"GenericGaussians_Combined"
if len(ratios_J100) == 1 and len(ratios_J75) == 1 and ratios_J100[0] == ratios_J75[0]:
outname += "_" + str(int(ratios_J75[0]*100))
myPainter.cutstring += ";"+names['%1.2f'%(ratios_J75[0])].replace('Res.','detector resolution')
myPainter.drawSeveralObservedExpectedLimits(allobserved,allexpected,allexpected1Sigma,allexpected2Sigma,\
[names['%1.2f'%r] for r in all_ratios],outname,"m_{G} [GeV]",\
"#sigma #times #it{A} #times BR [pb]",[3.57*1000,29.3*1000],13,400,1850,2E-2,300,[],\
ATLASLabelLocation="BottomL",cutLocation="Left",doLegendLocation="Left" if len(ratios_J100) == 1 else "Center")
def getModelLimits(ptCut, coupling, these_massvals,individualLimitFiles, sig_dict, limitsDictOut, \
cutstring = '', xname = "M_{Z'} [GeV]", yname = "#sigma #times #it{A} #times BR [pb]" ):
print ptCut, " ", coupling
# Initialize painter
myPainter = Morisot()
myPainter.setColourPalette("ATLAS")
myPainter.cutstring = cutstring
#myPainter.setEPS(True)
myPainter.setLabelType(
2) # Sets label type i.e. Internal, Work in progress etc.
# See below for label explanation
# 0 Just ATLAS
# 1 "Preliminary"
# 2 "Internal"
# 3 "Simulation Preliminary"
# 4 "Simulation Internal"
# 5 "Simulation"
# 6 "Work in Progress"
thisobserved = ROOT.TGraph()
thisexpected = ROOT.TGraph()
thisexpected_plus1 = ROOT.TGraph()
thisexpected_minus1 = ROOT.TGraph()
thisexpected_plus2 = ROOT.TGraph()
thisexpected_minus2 = ROOT.TGraph()
thistheory = ROOT.TGraph()
#for mass in these_massvals:
for mass in masses:
import glob
#file_list = glob.glob(individualLimitFiles.format(signal,mass))
individualLimitFiles = individualLimitFiles.replace("PPP", ptCut)
individualLimitFiles = individualLimitFiles.replace("CCC", coupling)
individualLimitFiles = individualLimitFiles.replace("MMM", str(mass))
file_list = glob.glob(
individualLimitFiles.format(ptCut, coupling, mass))
print "individualLimitFiles", individualLimitFiles
print("file_list: ", file_list)
if len(file_list) == 0: continue
allCLs = []
PE_CLs = []
for f in file_list:
file = ROOT.TFile.Open(f)
if not file or not file.Get("CLOfRealLikelihood"): continue
CL = file.Get("CLOfRealLikelihood")[0]
PE_tree = file.Get("ensemble_test")
if not PE_tree or not CL: continue
for event in PE_tree:
PE_CLs.append(
event.GetBranch("95quantile_marginalized_2").
GetListOfLeaves().At(0).GetValue())
allCLs.append(CL)
if len(allCLs) == 0: continue
expCLs = GetCenterAndSigmaDeviations(PE_CLs)
print mass, allCLs[0], expCLs[2], len(PE_CLs)
m = float(mass) / 1000.
obsCL = allCLs[0] / luminosity
expCLs = [e / luminosity for e in expCLs]
thisobserved.SetPoint(thisobserved.GetN(), m, obsCL)
thisexpected_minus2.SetPoint(thisexpected_minus2.GetN(), m, expCLs[0])
thisexpected_minus1.SetPoint(thisexpected_minus1.GetN(), m, expCLs[1])
thisexpected.SetPoint(thisexpected.GetN(), m, expCLs[2])
thisexpected_plus1.SetPoint(thisexpected_plus1.GetN(), m, expCLs[3])
thisexpected_plus2.SetPoint(thisexpected_plus2.GetN(), m, expCLs[4])
#c = SignalCouplings[signal]
#print sig_dict[c]
#signal_info = sig_dict[c]['%1.2f'%m]
#signal_acc = signal_info['acc']
#signal_thxsec = signal_info['theory']
#signal_info['exp'] = expCLs[2]
#signal_info['obs'] = obsCL
#signal_info['exp+1'] = expCLs[3]
#signal_info['exp+2'] = expCLs[4]
#signal_info['exp-1'] = expCLs[1]
#signal_info['exp-2'] = expCLs[0]
#if c not in limitsDictOut: limitsDictOut[c] = {}
limitsDictOut = {}
#limitsDictOut['%1.2f'%m] = signal_info
#t#histheory.SetPoint(thistheory.GetN(),m,signal_acc*signal_thxsec)
#if not c in ZPrimeLimits: ZPrimeLimits[c] = {}
#ZPrimeLimits[c][m] = {'obs':obsCL,'exp':expCLs[2],'th':signal_acc*signal_thxsec}
if thisobserved.GetN() == 0:
print "No limits found for couping: ", coupling, "ptCut: ", ptCut
return limitsDictOut
thisexpected1 = makeBand(thisexpected_minus1, thisexpected_plus1)
thisexpected2 = makeBand(thisexpected_minus2, thisexpected_plus2)
outputName = folderextension + "Limits_pH" + ptCut + '_gSM' + coupling + "_" + dataset + plotextension
xlow = 'automatic' # (int(masses[signal][0]) - 100)/1000.
xhigh = 'automatic' #(int(masses[signal][-1]) + 100)/1000.
#myPainter.drawLimitSettingPlotObservedExpected(thisobserved,thisexpected,thisexpected1, thisexpected2, thistheory,SignalTitles[signal],\
# outputName, xname,yname,luminosity,Ecm,xlow,xhigh,2E-4,100,False)
myPainter.drawLimitSettingPlotObservedExpected(thisobserved,thisexpected,thisexpected1, thisexpected2,"",\
"",outputName, xname,yname,luminosity,Ecm,xlow,xhigh,2E-4,100,False)
return limitsDictOut
def getGaussianLimits( inputfileform, ratios, dataset, luminosity, cutstring, makePlot = True, outfolder = "./plots/"):
basicInputFiles = {}
for r in ratios: basicInputFiles[r] = []
import glob
file_list = glob.glob(inputfileform)
for f in file_list:
ratio_str = f.split('.')[-2].split('_')[-1]
if ratio_str == 'resolutionwidth': ratio = 0.0
else: ratio = float(ratio_str)/1000.
if ratio in basicInputFiles: basicInputFiles[ratio].append(f)
# Initialize painter
myPainter = Morisot()
# Internal
myPainter.setLabelType(2)
myPainter.cutstring = cutstring
#myPainter.setLabelType(1)
minMassVal = {}
values = {}
mass_list = []
allobserved = []
allexpected = []
allexpected1Sigma = []
allexpected2Sigma = []
results = {}
for r in ratios:
values[r] = {}
for f in basicInputFiles[r]:
file = ROOT.TFile.Open(f)
CLs = file.Get("CLsPerMass_widthToMass%d"%(r*1000))
masses = file.Get("massesUsed")
if masses == None: continue
for i,mass in enumerate(masses) :
#if dataset == "J100" and mass < 700: continue
if "J75" in dataset and not makePlot and mass > 700: continue
if mass > 1850: continue
mass_list += [mass]
PE_tree = file.Get("ensemble_tree_%d_%d"%(mass,r*1000))
PE_CLs = []
for event in PE_tree:
PE_CLs.append( event.GetBranch("95quantile_marginalized_1").GetListOfLeaves().At(0).GetValue() )
expCLs = GetCenterAndSigmaDeviations(PE_CLs)
#print mass, CLs[i]/luminosity, [e/luminosity for e in expCLs]
if mass not in values[r]:
values[r][mass] = {'obs': [], 'exp': [], 'PEs': [] }
values[r][mass]['obs'].append(CLs[i]/luminosity)
values[r][mass]['exp'].append(expCLs[2]/luminosity)
values[r][mass]['PEs'] += [e/luminosity for e in PE_CLs]
mass_list = sorted(list(set(mass_list)))
thisobserved = ROOT.TGraph()
thisexpected = ROOT.TGraph()
thisexpected_plus1 = ROOT.TGraph()
thisexpected_minus1 = ROOT.TGraph()
thisexpected_plus2 = ROOT.TGraph()
thisexpected_minus2 = ROOT.TGraph()
for m in mass_list :
if m not in values[r]: continue
expCLs = GetCenterAndSigmaDeviations(values[r][m]['PEs'])
print r, m, values[r][m]['obs'][0], values[r][m]['exp'][0], len(values[r][m]['PEs'])
thisobserved.SetPoint( thisobserved.GetN(),m,values[r][m]['obs'][0])
thisexpected_minus2.SetPoint(thisexpected_minus2.GetN(),m,expCLs[0])
thisexpected_minus1.SetPoint(thisexpected_minus1.GetN(),m,expCLs[1])
thisexpected.SetPoint( thisexpected.GetN(),m,expCLs[2])
thisexpected_plus1.SetPoint( thisexpected_plus1.GetN(),m,expCLs[3])
thisexpected_plus2.SetPoint( thisexpected_plus2.GetN(),m,expCLs[4])
allobserved.append(thisobserved)
allexpected.append(thisexpected)
thisexpected1Sigma = makeBand(thisexpected_minus1,thisexpected_plus1)
thisexpected2Sigma = makeBand(thisexpected_minus2,thisexpected_plus2)
if r == 0:
allexpected1Sigma.append(thisexpected1Sigma)
allexpected2Sigma.append(thisexpected2Sigma)
else:
allexpected1Sigma.append(ROOT.TGraph())
allexpected2Sigma.append(ROOT.TGraph())
results[r] = {'obs':thisobserved, 'exp': thisexpected,'exp1': thisexpected1Sigma,'exp2': thisexpected2Sigma}
if makePlot:
#print ratios
#print [names['%1.2f'%r] for r in ratios]
myPainter.drawSeveralObservedExpectedLimits(allobserved,allexpected,allexpected1Sigma,allexpected2Sigma,[names['%1.2f'%r] for r in ratios],outfolder+"GenericGaussians_"+dataset,"m_{G} [GeV]",\
"#sigma #times #it{A} #times BR [pb]",luminosity,13,400,2000,1E-2,50,[],ATLASLabelLocation="BottomR",cutLocation="Left")
return results
ratios_J75 = [0.0, 0.05, 0.07, 0.10]
inputfileform = indir+"results/data2017/runSWIFT2016_J75yStar06/GenericGaussians_3p57_doSwift_*"
J75_plots = getGaussianLimits( inputfileform, ratios_J75, dataset, luminosity, cutstring, makePlot = not makeCombinedPlot)
'''
if makeCombinedPlot:
allobserved = []
allexpected = []
allexpected1Sigma = []
allexpected2Sigma = []
all_ratios = list(set().union(ratios_J100,ratios_J75))
all_ratios.sort()
for r in all_ratios:
SR_dicts = [J100_plots,J75_plots]
allobserved.append([d[r]['obs'] if r in d else None for d in SR_dicts])
allexpected.append([d[r]['exp'] if r in d else None for d in SR_dicts])
allexpected1Sigma.append([d[r]['exp1'] if r in d else None for d in SR_dicts if r == 0])
allexpected2Sigma.append([d[r]['exp2'] if r in d else None for d in SR_dicts if r == 0])
# Initialize painter
myPainter = Morisot()
# Internal
myPainter.setLabelType(2)
myPainter.cutstring = 'J75 |y*| < 0.3, 3.57 fb^{-1} J100 |y*| < 0.6, 29.3 fb^{-1}'
outfolder = "./plots/"
myPainter.drawSeveralObservedExpectedLimits(allobserved,allexpected,allexpected1Sigma,allexpected2Sigma,[names['%1.2f'%r] for r in all_ratios],outfolder+"GenericGaussians_Combined","m_{G} [GeV]",\
"#sigma #times #it{A} #times BR [pb]",0,13,400,2000,1E-2,50,[],ATLASLabelLocation="byLegend",cutLocation="BottomL",labels=["J75 |y*| < 0.3, 3.57 fb^{-1}","J100 |y*| < 0.6, 29.3 fb^{-1} "])
shiftedgraphs = []
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))))