tree = args.tree #The enabled systematic up/down variation sample prefixes to put on the ratio plot if args.do_systs: systs = { "JES": ("EnUp", "EnDown"), "JER": ["ResUp", "ResDown"], "MET": ["UnclusteredEnUp", "UnclusteredEnDown"], } else: systs = {} for lepton_channel in args.channels: logger.info("Plotting lepton channel %s" % lepton_channel) weight = Weights.total(lepton_channel)*Weights.wjets_madgraph_shape_weight()*Weights.wjets_madgraph_flat_weight() physics_processes = PhysicsProcess.get_proc_dict(lepton_channel=lepton_channel)#Contains the information about merging samples and proper pretty names for samples merge_cmds = PhysicsProcess.get_merge_dict(physics_processes) #The actual merge dictionary lumi = lumis[lepton_channel] isoreg='iso' use_antiiso = False if args.use_antiiso: isoreg='antiiso' use_antiiso = True #Get the file lists flist = get_file_list( merge_cmds,
flist = [] for i in ['sig','bg']: for j in ['train','eval']: flist += mvaFileList[i][j] logger.debug('Used file list: %s',str(flist)) # Read in the samples samples = {} for f in flist: samples[f] = Sample.fromFile(args.indir+'/%s/%s.root' % (proc,f), tree_name='Events_MVA') # Set the weight expression weightString = str(Weights.total(proc) * Weights.wjets_madgraph_shape_weight() * Weights.wjets_madgraph_flat_weight()) # Which file do we use to write our TMVA trainings ext='' if len(rVar): ext='_sans' for v in rVar: ext+='_'+v if len(cVar): ext='_with' for v in cVar: ext+='_'+v out = TFile('TMVA%s%s.root' % (proc,ext),'RECREATE')