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| tuple | makePlots_datacardsCPStudies.log = logging.getLogger(__name__) |
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| tuple | makePlots_datacardsCPStudies.parser |
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| string | makePlots_datacardsCPStudies.help = "Input directory." |
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| list | makePlots_datacardsCPStudies.default = ["all"] |
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| tuple | makePlots_datacardsCPStudies.args = parser.parse_args() |
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| list | makePlots_datacardsCPStudies.cp_mixing_angles_over_pi_half = ["{mixing:03d}".format(mixing=int(mixing*100)) for mixing in args.cp_mixings] |
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| list | makePlots_datacardsCPStudies.cp_mixings_str = ["{mixing:0.2f}".format(mixing=mixing) for mixing in args.cp_mixings] |
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| tuple | makePlots_datacardsCPStudies.cp_mixings_scan = list(numpy.arange(args.cp_mixings[0], args.cp_mixings[-1]+0.001, (args.cp_mixings[-1]-args.cp_mixings[0])/(args.cp_mixing_scan_points-1))) |
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| tuple | makePlots_datacardsCPStudies.cp_mixings_combine_range_min = (3*cp_mixings_scan[0]-cp_mixings_scan[1]) |
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| tuple | makePlots_datacardsCPStudies.cp_mixings_combine_range_max = (3*cp_mixings_scan[-1]-cp_mixings_scan[-2]) |
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| tuple | makePlots_datacardsCPStudies.sample_settings = samples.Samples() |
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| tuple | makePlots_datacardsCPStudies.binnings_settings = binnings.BinningsDict() |
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| tuple | makePlots_datacardsCPStudies.systematics_factory = systematics.SystematicsFactory() |
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| list | makePlots_datacardsCPStudies.plot_configs = [] |
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| list | makePlots_datacardsCPStudies.output_files = [] |
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| list | makePlots_datacardsCPStudies.merged_output_files = [] |
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| list | makePlots_datacardsCPStudies.hadd_commands = [] |
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| tuple | makePlots_datacardsCPStudies.datacards = cpstudiesdatacards.CPStudiesDatacards(cp_mixings_str, add_data=True) |
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| string | makePlots_datacardsCPStudies.tmp_input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${SYSTEMATIC}_${ERA}.root" |
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| string | makePlots_datacardsCPStudies.input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${ERA}.root" |
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| string | makePlots_datacardsCPStudies.bkg_histogram_name_template = "${BIN}/${PROCESS}" |
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| string | makePlots_datacardsCPStudies.sig_histogram_name_template = "${BIN}/${PROCESS}${MASS}" |
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| string | makePlots_datacardsCPStudies.bkg_syst_histogram_name_template = "${BIN}/${PROCESS}_${SYSTEMATIC}" |
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| string | makePlots_datacardsCPStudies.sig_syst_histogram_name_template = "${BIN}/${PROCESS}${MASS}_${SYSTEMATIC}" |
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| list | makePlots_datacardsCPStudies.datacard_filename_templates |
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| string | makePlots_datacardsCPStudies.output_root_filename_template = "datacards/common/${ANALYSIS}.input_${ERA}.root" |
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| tuple | makePlots_datacardsCPStudies.categories = datacards.cb.cp() |
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| tuple | makePlots_datacardsCPStudies.datacards_per_channel_category = cpstudiesdatacards.CPStudiesDatacards(cb=datacards.cb.cp().channel([channel]).bin([category])) |
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| list | makePlots_datacardsCPStudies.higgs_masses = args.higgs_masses[:1] |
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| list | makePlots_datacardsCPStudies.additional_higgs_masses_for_shape = args.higgs_masses[1:] |
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| tuple | makePlots_datacardsCPStudies.output_file |
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| list | makePlots_datacardsCPStudies.tmp_output_files = [] |
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| tuple | makePlots_datacardsCPStudies.nominal = (shape_systematic == "nominal") |
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| list | makePlots_datacardsCPStudies.list_of_bkg_samples = [datacards.configs.process2sample(process) for process in list_of_samples if process in datacards_per_channel_category.cb.cp().backgrounds().process_set()] |
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| list | makePlots_datacardsCPStudies.list_of_sig_samples = [datacards.configs.process2sample(process) for process in list_of_samples if process in datacards_per_channel_category.cb.cp().signals().process_set()] |
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| string | makePlots_datacardsCPStudies.systematic = "nominal" |
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| dictionary | makePlots_datacardsCPStudies.config = {} |
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| string | makePlots_datacardsCPStudies.samples = "\", \"" |
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| | makePlots_datacardsCPStudies.channel = channel, |
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| | makePlots_datacardsCPStudies.category = category, |
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| tuple | makePlots_datacardsCPStudies.config_bkg |
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| tuple | makePlots_datacardsCPStudies.PROCESS = datacards.configs.sample2process(sample) |
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| | makePlots_datacardsCPStudies.BIN = category, |
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| | makePlots_datacardsCPStudies.SYSTEMATIC = systematic |
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| tuple | makePlots_datacardsCPStudies.tmp_additional_higgs_masses_for_shape = copy.deepcopy(additional_higgs_masses_for_shape) |
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| tuple | makePlots_datacardsCPStudies.config_sig |
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| | makePlots_datacardsCPStudies.MASS = cp_mixing_str, |
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| tuple | makePlots_datacardsCPStudies.nicks_to_sum = copy.deepcopy(list_of_bkg_samples) |
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| tuple | makePlots_datacardsCPStudies.systematics_settings = systematics_factory.get(shape_systematic) |
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| string | makePlots_datacardsCPStudies.binnings_key = "binningHtt13TeV_" |
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| tuple | makePlots_datacardsCPStudies.tmp_output_file |
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| | makePlots_datacardsCPStudies.DST = output_file, |
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| string | makePlots_datacardsCPStudies.SRC = " " |
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| list | makePlots_datacardsCPStudies.debug_plot_configs = [] |
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| | makePlots_datacardsCPStudies.update_systematics = True |
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| tuple | makePlots_datacardsCPStudies.processes = datacards.cb.cp() |
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| float | makePlots_datacardsCPStudies.add_threshold = 0.1 |
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| dictionary | makePlots_datacardsCPStudies.datacards_cbs = {} |
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| tuple | makePlots_datacardsCPStudies.datacards_workspaces = datacards.text2workspace(datacards_cbs, n_processes=args.n_processes) |
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| list | makePlots_datacardsCPStudies.result_plot_configs = [] |
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| tuple | makePlots_datacardsCPStudies.datacards_postfit_shapes = datacards.postfit_shapes_fromworkspace(datacards_cbs, datacards_workspaces, False, args.n_processes, "--sampling" + (" --print" if args.n_processes <= 1 else "")) |
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| | makePlots_datacardsCPStudies.STABLE = datacards.stable_options, |
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| string | makePlots_datacardsCPStudies.RANGE = "{0:f},{1:f}" |
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| | makePlots_datacardsCPStudies.POINTS = args.cp_mixing_scan_points |
| |
