def main():
inputs = effectiveModel.getInputs(options.input)
for i in inputs:
i[2] = unit # This function has to be pickle'able. Lambda functions are not allowed.
x = [bins[0], plotRange[0], plotRange[2]]
y = [bins[1], plotRange[1], plotRange[3]]
h = ROOT.TH2F(
"muTmuW",
"(#mu^{f}_{ggF+ttH},#mu^{f}_{VBF+VH}) plane;#mu^{f}_{ggF+ttH};#mu^{f}_{VBF+VH};-2 ln #Lambda",
x[0], x[1], x[2], y[0], y[1], y[2])
npHistograms = {}
effectiveModel.fillHist(h,
x,
y,
inputs,
options,
npHistograms=npHistograms)
PyROOTUtils.subtractMinFromHist(h)
outF = effectiveModel.outFileName(options.output, options)
fOut = ROOT.TFile.Open(outF, "RECREATE")
h.Write()
for npH in npHistograms.values():
npH.Write()
fOut.Close()
print("Output written to: " + outF)
def main():
inputs = effectiveModel.getInputs( options.input )
for i in inputs: i[2] = unit # This function has to be pickle'able. Lambda functions are not allowed.
x = [bins[0], plotRange[0], plotRange[2]]
y = [bins[1], plotRange[1], plotRange[3]]
h = ROOT.TH2F( "muTmuW", "(#mu^{f}_{ggF+ttH},#mu^{f}_{VBF+VH}) plane;#mu^{f}_{ggF+ttH};#mu^{f}_{VBF+VH};-2 ln #Lambda", x[0], x[1], x[2], y[0], y[1], y[2] )
npHistograms = {}
effectiveModel.fillHist( h,x,y,inputs, options, npHistograms=npHistograms )
PyROOTUtils.subtractMinFromHist( h )
outF = effectiveModel.outFileName( options.output, options )
fOut = ROOT.TFile.Open( outF, "RECREATE" )
h.Write()
for npH in npHistograms.values(): npH.Write()
fOut.Close()
print( "Output written to: "+outF )
def main():
inputs = effectiveModel.getInputs( options.input )
for i in inputs:
if "2ph" in i[2]: i[2] = map_2ph
elif "4l" in i[2]: i[2] = map_4l
elif "lvlv" in i[2]: i[2] = map_lvlv
else:
print( "WARNING: Didn't find functional replacement for "+i[2] )
kGam = [bins[0], plotRange[0], plotRange[2]]
kGlu = [bins[1], plotRange[1], plotRange[3]]
h = ROOT.TH2F( "kGlukGamma", "Couplings in (k_{g},k_{#gamma});#kappa_{#gamma};#kappa_{g};-2 ln #Lambda", kGam[0], kGam[1], kGam[2], kGlu[0], kGlu[1], kGlu[2] )
npHistograms = {}
effectiveModel.fillHist( h,kGam,kGlu,inputs, options, npHistograms=npHistograms )
PyROOTUtils.subtractMinFromHist( h )
outF = effectiveModel.outFileName( options.output, options )
fOut = ROOT.TFile.Open( outF, "RECREATE" )
h.Write()
for npH in npHistograms.values(): npH.Write()
fOut.Close()
print( "Output written to: "+outF )