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| tuple | makePlots_datacardsZttCrossSection.log = logging.getLogger(__name__) |
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| dictionary | makePlots_datacardsZttCrossSection.models |
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| tuple | makePlots_datacardsZttCrossSection.parser |
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| string | makePlots_datacardsZttCrossSection.help = "Input directory." |
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| tuple | makePlots_datacardsZttCrossSection.choices = models.keys() |
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| list | makePlots_datacardsZttCrossSection.default = ["all"] |
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| tuple | makePlots_datacardsZttCrossSection.args = parser.parse_args() |
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| tuple | makePlots_datacardsZttCrossSection.sample_settings = samples.Samples() |
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| tuple | makePlots_datacardsZttCrossSection.systematics_factory = systematics.SystematicsFactory() |
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| list | makePlots_datacardsZttCrossSection.plot_configs = [] |
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| list | makePlots_datacardsZttCrossSection.hadd_commands = [] |
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| tuple | makePlots_datacardsZttCrossSection.datacards = zttxsecdatacards.ZttXsecDatacards(model=args.model) |
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| string | makePlots_datacardsZttCrossSection.tmp_input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${SYSTEMATIC}_${ERA}.root" |
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| string | makePlots_datacardsZttCrossSection.input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${ERA}.root" |
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| string | makePlots_datacardsZttCrossSection.bkg_histogram_name_template = "${BIN}/${PROCESS}" |
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| string | makePlots_datacardsZttCrossSection.sig_histogram_name_template = "${BIN}/${PROCESS}" |
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| string | makePlots_datacardsZttCrossSection.bkg_syst_histogram_name_template = "${BIN}/${PROCESS}_${SYSTEMATIC}" |
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| string | makePlots_datacardsZttCrossSection.sig_syst_histogram_name_template = "${BIN}/${PROCESS}_${SYSTEMATIC}" |
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| list | makePlots_datacardsZttCrossSection.datacard_filename_templates |
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| string | makePlots_datacardsZttCrossSection.output_root_filename_template = "datacards/common/${ANALYSIS}.input_${ERA}.root" |
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| tuple | makePlots_datacardsZttCrossSection.categories = datacards.cb.cp() |
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| tuple | makePlots_datacardsZttCrossSection.datacards_per_channel_category = zttxsecdatacards.ZttXsecDatacards(cb=datacards.cb.cp().channel([channel]).bin([category]), model=args.model) |
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| tuple | makePlots_datacardsZttCrossSection.output_file |
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| list | makePlots_datacardsZttCrossSection.tmp_output_files = [] |
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| tuple | makePlots_datacardsZttCrossSection.nominal = (shape_systematic == "nominal") |
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| list | makePlots_datacardsZttCrossSection.list_of_samples = [datacards.configs.process2sample(process) for process in list_of_samples] |
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| string | makePlots_datacardsZttCrossSection.systematic = "nominal" |
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| string | makePlots_datacardsZttCrossSection.samples = "\", \"" |
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| | makePlots_datacardsZttCrossSection.channel = channel, |
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| | makePlots_datacardsZttCrossSection.category = category, |
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| tuple | makePlots_datacardsZttCrossSection.config |
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| tuple | makePlots_datacardsZttCrossSection.systematics_settings = systematics_factory.get(shape_systematic) |
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| dictionary | makePlots_datacardsZttCrossSection.json_config = {} |
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| tuple | makePlots_datacardsZttCrossSection.binnings_settings = binnings.BinningsDict() |
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| string | makePlots_datacardsZttCrossSection.binnings_key = channel+"_" |
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| | makePlots_datacardsZttCrossSection.histogram_name_template = bkg_histogram_name_templateifnominalelsebkg_syst_histogram_name_template |
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| tuple | makePlots_datacardsZttCrossSection.PROCESS = datacards.configs.sample2process(sample) |
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| | makePlots_datacardsZttCrossSection.BIN = category, |
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| | makePlots_datacardsZttCrossSection.SYSTEMATIC = systematic |
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| tuple | makePlots_datacardsZttCrossSection.tmp_output_file |
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| | makePlots_datacardsZttCrossSection.DST = output_file, |
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| string | makePlots_datacardsZttCrossSection.SRC = " " |
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| tuple | makePlots_datacardsZttCrossSection.output_files = list(set([os.path.join(config["output_dir"], config["filename"]+".root") for config in plot_configs[:args.n_plots[0]]])) |
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| | makePlots_datacardsZttCrossSection.update_systematics = False |
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| dictionary | makePlots_datacardsZttCrossSection.datacards_cbs = {} |
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| tuple | makePlots_datacardsZttCrossSection.model_settings = models.get(args.model, {}) |
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| tuple | makePlots_datacardsZttCrossSection.fit_settings = model_settings.get("fit", {"" : {}}) |
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| tuple | makePlots_datacardsZttCrossSection.tmp_fit_options = fit_options.get("options", "") |
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| tuple | makePlots_datacardsZttCrossSection.GRID_BINS = (int(args.grid_bins) * int(args.grid_bins)) |
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| tuple | makePlots_datacardsZttCrossSection.datacards_workspaces |
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| list | makePlots_datacardsZttCrossSection.FIT_METHOD = fit_options["method"] |
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| | makePlots_datacardsZttCrossSection.FIT_OPTIONS = tmp_fit_options, |
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| | makePlots_datacardsZttCrossSection.STABLE = datacards.stable_options, |
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| dictionary | makePlots_datacardsZttCrossSection.datacards_postfit_shapes = {} |
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| list | makePlots_datacardsZttCrossSection.bkg_plotting_order = ["ZTT", "ZLL", "ZL", "ZJ", "TT", "TTJT", "TTJL", "VV", "VVT", "VVL", "EWK", "W", "WJT", "WJL", "FF", "QCD"] |
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| tuple | makePlots_datacardsZttCrossSection.postfit_shapes = datacards_postfit_shapes.get("fit_s", {}) |
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| tuple | makePlots_datacardsZttCrossSection.results_file = ROOT.TFile(os.path.join(os.path.dirname(datacard), "mlfit.root")) |
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| tuple | makePlots_datacardsZttCrossSection.results_tree = results_file.Get("tree_fit_sb") |
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| | makePlots_datacardsZttCrossSection.bestfit = results_tree.mu |
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| list | makePlots_datacardsZttCrossSection.processes = datacards_cbs[datacard] |
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| tuple | makePlots_datacardsZttCrossSection.processes_to_plot = list(processes) |
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