""" configMgr.initialize() RooRandom.randomGenerator().SetSeed(configMgr.toySeed) ReduceCorrMatrix = configMgr.ReduceCorrMatrix """ runs Trees->histos and/or histos->workspace according to specifications """ if configMgr.readFromTree or configMgr.executeHistFactory: if doCodeProfiling: import cProfile cProfile.run('configMgr.executeAll()') else: configMgr.executeAll() """ shows systematics """ if drawSystematics: from ROOT import Util if not os.path.isdir("./plots"): log.info("no directory 'plots' found.... creating one") os.mkdir("./plots") for fC in configMgr.fitConfigs: for chan in fC.channels: for sam in chan.sampleList: if not sam.isData: if HistFitterArgs.systematics: Systs = HistFitterArgs.systematics
configMgr.useAsimovSet = True elif opt == '-g': sigSamples = arg.split(',') pass gROOT.SetBatch(not runInterpreter) #mandatory user-defined configuration execfile(configFile) #standard execution from now on. configMgr.initialize() #runs Trees->histos and/or histos->workspace according to specifications if configMgr.readFromTree or configMgr.executeHistFactory: configMgr.executeAll() if runFit: for i in range(0,len(configMgr.topLvls)-1): #if len(configMgr.topLvls)>1: r=GenerateFitAndPlot(configMgr.topLvls[i]) #for idx in range(len(configMgr.topLvls)): # r=GenerateFitAndPlot(configMgr.topLvls[idx]) #1]) pass #configMgr.cppMgr.fitAll() print "\nr0=GenerateFitAndPlot(configMgr.topLvls[0])" print "r1=GenerateFitAndPlot(configMgr.topLvls[1])" print "r2=GenerateFitAndPlot(configMgr.topLvls[2])" pass if printLimits: