# if path=="ett" or path=="mtt": # for i in range(4,7): # output.SetBinContent(i,-100) if scale is not None: output.Scale(scale) if title is not None: output.SetTitle(title) if style: apply_style(output, style) return output if __name__ == "__main__": # The input files style1=GetStyleHtt() style1.cd() parser = argparse.ArgumentParser() parser.add_argument('--prefit', action='store_true', help="Don't use postfit") parser.add_argument('--period', default="all", choices=['7TeV', '8TeV', 'all'], help="Which data taking period") parser.add_argument('--MLfit', default="all", choices=['channel', 'all'], help="Which fit")
if path == "ett" or path == "mtt": for i in range(4, 7): output.SetBinContent(i, -100) if scale is not None: output.Scale(scale) if title is not None: output.SetTitle(title) if style: apply_style(output, style) return output if __name__ == "__main__": # The input files style1 = GetStyleHtt() style1.cd() parser = argparse.ArgumentParser() parser.add_argument('--prefit', action='store_true', help="Don't use postfit") parser.add_argument('--period', default="all", choices=['7TeV', '8TeV', 'all'], help="Which data taking period") parser.add_argument('--MLfit', default="all",
if model!=1: lumi.AddText("tan#beta = "+str(tanbeta)) return lumi parser = argparse.ArgumentParser() parser.add_argument('--model', type=int, default='1', help="Which type of 2HDM?") parser.add_argument('--tanbeta', type=float, default='1', help="Which tan beta?") parser.add_argument('--ma', type=int, default='1', help="Which pseudoscalar mass?") args = parser.parse_args() model=args.model ma=args.ma tanbeta=args.tanbeta style=GetStyleHtt() style.cd() #model=1 #ma=40 #tanbeta=5 width=get_total_width(model,ma,tanbeta) print "running alpha ",running_alpha(ma) print "up ",gamma_quarks(tanbeta,ma,model,1)/width print "down ",gamma_quarks(tanbeta,ma,model,2)/width print "charm ",gamma_quarks(tanbeta,ma,model,3)/width print "strange ",gamma_quarks(tanbeta,ma,model,4)/width print "top ",gamma_quarks(tanbeta,ma,model,5)/width print "bottom ",gamma_quarks(tanbeta,ma,model,6)/width print "tau ",gamma_tau(tanbeta,ma,model)/width print "muon ",gamma_mu(tanbeta,ma,model)/width