# -1: scale to background Integral
# float: scale with float value
# False: dont scale
# additional variables to plot
additional_variables = []
ignoredVariables = [
"Weight_XS",
"Weight_GEN_nom",
]
# initialize plotter
plotter = variablePlotter(output_dir=plot_dir,
variable_set=None,
add_vars=additional_variables,
max_entries=opts.max_events,
plotOptions=plotOptions)
# add samples
plotter.addSample(sampleName="ttZ(qq)",
sampleFile=data_dir + "/ttZqq.h5",
signalSample=False,
plotColor=ROOT.kYellow,
apply_cut=True)
#plotter.addSample(
# sampleName = "ttZ(ll)",
# sampleFile = data_dir+"/ttZll.h5",
# signalSample = True,
# plotColor = ROOT.kBlack,
#"KSscore": True,
}
# additional variables to plot
additional_variables = variable_set.plot_variables
additional_variables.append("TTXmatcher_chi2")
# ignored variables
ignored_variables = [
"Weight_XS", "Weight_GEN_nom", "Weight_CSV", "class_label"
]
# initialize plotter
plotter = variablePlotter(output_dir=plot_dir,
variable_set=variable_set,
add_vars=additional_variables,
ignored_vars=ignored_variables,
plotOptions=plotOptions)
# add samples
plotter.addSample(
sampleName="ttH",
sampleFile=data_dir + "/ttHbb_dnn.h5",
plotColor=ROOT.kBlue + 1,
XSscaling=2., # due to even/odd splitting
signalSample=True)
'''
plotter.addSample(
sampleName = "ttZ",
sampleFile = data_dir+"/ttZbb_dnn.h5",
plotColor = ROOT.kGreen+1,
"ratio": False,
"logscale": False,
"scaleSignal": -1,
"lumiScale": 1
}
# scaleSignal:
# -1: scale to background Integral
# float: scale with float value
# False: dont scale
# additional variables to plot
additional_variables = []
# initialize plotter
plotter = variablePlotter(output_dir=plot_dir,
variable_set=None,
add_vars=additional_variables,
plotOptions=plotOptions)
# add samples
plotter.addSample(sampleName="ttH",
sampleFile=data_dir + "/ttH.h5",
signalSample=False,
plotColor=ROOT.kYellow,
apply_cut=False)
plotter.addSample(sampleName="ttZ",
sampleFile=data_dir + "/ttZ.h5",
signalSample=True,
plotColor=ROOT.kBlack,
apply_cut=False)