Exemple #1
0
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)
Exemple #2
0
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 )
Exemple #3
0
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 )