1200: ROOT.TColor.GetColor('#FF8080'),
1300: ROOT.TColor.GetColor('#FF9999'),
1400: ROOT.TColor.GetColor('#FFB2B2'),
1500: ROOT.TColor.GetColor('#FFCCCC'),
}
#########################
### add uncertainties ###
#########################
if doUncertainties:
shifts = ['lep','trig','btag','pu','fake','ElectronEn','TauEn','MuonEn','JetEn']
hpp4lPlotter.addShiftUncertainty(*shifts)
mcsamples = allsamples + signals
hpp4lPlotter.addUncertainty(
*mcsamples,
lumi=0.025,
idiso=(0.02**2 * 4)**0.5,
trigeff=0.005
)
hpp4lPlotter.addUncertainty('WZ',WZxsec=0.080)
hpp4lPlotter.addUncertainty('ZZ',ZZxsec=0.032)
hpp4lPlotter.addUncertainty('TTV',TTVxsec=0.15)
hpp4lPlotter.addUncertainty('VVV',VVVxsec=0.06)
########################
### Helper functions ###
########################
def getDataDrivenPlot(*plots):
histMap = {}
regions = ['3P1F','2P2F','1P3F','0P4F']
#regions = ['3P1F','2P2F']
for s in samples + signals + ['data','datadriven']: histMap[s] = []
1200: ROOT.TColor.GetColor('#FF8080'),
1300: ROOT.TColor.GetColor('#FF9999'),
1400: ROOT.TColor.GetColor('#FFB2B2'),
1500: ROOT.TColor.GetColor('#FFCCCC'),
}
#########################
### add uncertainties ###
#########################
if doUncertainties:
shifts = ['lep','trig','btag','pu','fake','ElectronEn','TauEn','MuonEn','JetEn']
hpp4lPlotter.addShiftUncertainty(*shifts)
mcsamples = allsamples + signals
hpp4lPlotter.addUncertainty(
*mcsamples,
lumi=0.025,
idiso=(0.02**2 * 4)**0.5,
trigeff=0.005
)
hpp4lPlotter.addUncertainty('WZ',WZxsec=0.080)
hpp4lPlotter.addUncertainty('ZZ',ZZxsec=0.032)
hpp4lPlotter.addUncertainty('TTV',TTVxsec=0.15)
hpp4lPlotter.addUncertainty('VVV',VVVxsec=0.06)
########################
### Helper functions ###
########################
def getDataDrivenPlot(*plots):
histMap = {}
regions = ['3P1F','2P2F','1P3F','0P4F']
#regions = ['3P1F','2P2F']
for s in samples + signals + ['data','datadriven']: histMap[s] = []
