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 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} "])
