makePlots_datacardsCPStudies_projection.py File Reference

Namespaces
	makePlots_datacardsCPStudies_projection

Functions
def	makePlots_datacardsCPStudies_projection.poi_ranges_default
def	makePlots_datacardsCPStudies_projection.poi_ranges_default_bbb

Variables
tuple	makePlots_datacardsCPStudies_projection.log = logging.getLogger(__name__)
dictionary	makePlots_datacardsCPStudies_projection.models
tuple	makePlots_datacardsCPStudies_projection.parser
string	makePlots_datacardsCPStudies_projection.help = "Datacards."
tuple	makePlots_datacardsCPStudies_projection.choices = models.keys()
list	makePlots_datacardsCPStudies_projection.default = [mixing/100.0 for mixing in range(0, 101, 25)]
tuple	makePlots_datacardsCPStudies_projection.args = parser.parse_args()
tuple	makePlots_datacardsCPStudies_projection.datacards_configs = datacardconfigs.DatacardConfigs()
list	makePlots_datacardsCPStudies_projection.filename_templates
list	makePlots_datacardsCPStudies_projection.plot_configs = []
tuple	makePlots_datacardsCPStudies_projection.cb = ch.CombineHarvester()
tuple	makePlots_datacardsCPStudies_projection.template_tag = template.split("$")
tuple	makePlots_datacardsCPStudies_projection.matched_template = os.path.join(datacard[:datacard.index(template_tag)], template)
tuple	makePlots_datacardsCPStudies_projection.datacards = cpstudiesdatacards.CPStudiesDatacards(cb=cb)
tuple	makePlots_datacardsCPStudies_projection.model_settings = models.get(model, {})
dictionary	makePlots_datacardsCPStudies_projection.datacards_workspaces = {}
	makePlots_datacardsCPStudies_projection.output_dir_base = args.output_dir
tuple	makePlots_datacardsCPStudies_projection.sub_dir_base = os.path.join("projection", model, "statUnc" if freeze_syst_uncs else "totUnc")
dictionary	makePlots_datacardsCPStudies_projection.datacards_cbs = {}
dictionary	makePlots_datacardsCPStudies_projection.datacards_poi_ranges = {}
tuple	makePlots_datacardsCPStudies_projection.output_dir = os.path.join(output_dir_base, "{:06}".format(lumi))
tuple	makePlots_datacardsCPStudies_projection.scaled_datacards = cpstudiesdatacards.CPStudiesDatacards(cb=datacards.cb.deep())
	makePlots_datacardsCPStudies_projection.lumi_scale_factor = lumi/args.lumi_datacards
tuple	makePlots_datacardsCPStudies_projection.scaled_datacards_cbs
list	makePlots_datacardsCPStudies_projection.json_configs = []
list	makePlots_datacardsCPStudies_projection.tmp_datacards_workspaces = datacards_workspaces[fit_name]
tuple	makePlots_datacardsCPStudies_projection.datacards_postfit_shapes = datacards.postfit_shapes_fromworkspace(datacards_cbs, datacards_workspaces, False, args.n_processes, "--sampling" + (" --print" if args.n_processes <= 1 else ""))
	makePlots_datacardsCPStudies_projection.STABLE = datacards.stable_options,
string	makePlots_datacardsCPStudies_projection.RANGE = "{0:f},{1:f}"
tuple	makePlots_datacardsCPStudies_projection.POINTS = len(args.cp_mixings)
tuple	makePlots_datacardsCPStudies_projection.limit_file = os.path.join(os.path.splitext(datacard)[0],"projection/default/totUnc/"+str("{:06}".format(lumi))+"/higgsCombine.Asymptotic.mH0.root")
tuple	makePlots_datacardsCPStudies_projection.file = ROOT.TFile(limit_file)
tuple	makePlots_datacardsCPStudies_projection.tree = file.Get("limit")
list	makePlots_datacardsCPStudies_projection.quantile_expected_list = []
list	makePlots_datacardsCPStudies_projection.limits_list = []
list	makePlots_datacardsCPStudies_projection.channel = ["em","et","mt","tt"]
list	makePlots_datacardsCPStudies_projection.lst = [(lumi/1000) for lumi in args.lumis]
string	makePlots_datacardsCPStudies_projection.xbins = " "
dictionary	makePlots_datacardsCPStudies_projection.config
tuple	makePlots_datacardsCPStudies_projection.config_limitsoverlumi = jsonTools.JsonDict(os.path.expandvars("HiggsAnalysis/KITHiggsToTauTau/data/plots/configs/combine/exp_limit_over_lumi.json"))
list	makePlots_datacardsCPStudies_projection.dir_list = [os.path.join(output_dir_base, "{:06}".format(lumi)) for lumi in args.lumis]