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| tuple | makePlots_datacardsSMHtt_nDim.log = logging.getLogger(__name__) |
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| tuple | makePlots_datacardsSMHtt_nDim.parser |
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| string | makePlots_datacardsSMHtt_nDim.help = "Input directory." |
| | parser.add_argument("--two-binning", action="store_true", default=False, help="One small bin in signal region and a large one for the remaining part. [Default:%(default)s]") More...
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| list | makePlots_datacardsSMHtt_nDim.default = ["et", "mt", "tt", "em", "mm"] |
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| tuple | makePlots_datacardsSMHtt_nDim.args = parser.parse_args() |
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| | makePlots_datacardsSMHtt_nDim.nbins = args.n_bins |
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| tuple | makePlots_datacardsSMHtt_nDim.nbins1D = int(nbins**(1.0/len(args.quantities))) |
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| tuple | makePlots_datacardsSMHtt_nDim.sample_settings = samples.Samples() |
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| tuple | makePlots_datacardsSMHtt_nDim.binnings_settings = binnings.BinningsDict() |
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| tuple | makePlots_datacardsSMHtt_nDim.systematics_factory = systematics.SystematicsFactory() |
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| list | makePlots_datacardsSMHtt_nDim.plot_configs = [] |
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| list | makePlots_datacardsSMHtt_nDim.output_files = [] |
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| list | makePlots_datacardsSMHtt_nDim.merged_output_files = [] |
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| list | makePlots_datacardsSMHtt_nDim.hadd_commands = [] |
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| tuple | makePlots_datacardsSMHtt_nDim.datacards = smhttdatacards.SMHttDatacards(higgs_masses=args.higgs_masses,useRateParam=args.use_rateParam,year=args.era) |
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| string | makePlots_datacardsSMHtt_nDim.tmp_input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${SYSTEMATIC}_${ERA}.root" |
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| string | makePlots_datacardsSMHtt_nDim.input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${ERA}.root" |
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| string | makePlots_datacardsSMHtt_nDim.bkg_histogram_name_template = "${BIN}/${PROCESS}" |
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| string | makePlots_datacardsSMHtt_nDim.sig_histogram_name_template = "${BIN}/${PROCESS}${MASS}" |
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| string | makePlots_datacardsSMHtt_nDim.bkg_syst_histogram_name_template = "${BIN}/${PROCESS}_${SYSTEMATIC}" |
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| string | makePlots_datacardsSMHtt_nDim.sig_syst_histogram_name_template = "${BIN}/${PROCESS}${MASS}_${SYSTEMATIC}" |
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| | makePlots_datacardsSMHtt_nDim.datacard_filename_templates = datacards.configs.htt_datacard_filename_templates |
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| string | makePlots_datacardsSMHtt_nDim.output_root_filename_template = "datacards/common/${ANALYSIS}.input_${ERA}.root" |
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| list | makePlots_datacardsSMHtt_nDim.categories = [channel + "_" + category for category in categories] |
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| tuple | makePlots_datacardsSMHtt_nDim.categories_save = sorted(categories) |
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| tuple | makePlots_datacardsSMHtt_nDim.datacards_per_channel_category = smhttdatacards.SMHttDatacards(cb=datacards.cb.cp().channel([channel]).bin([category])) |
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| list | makePlots_datacardsSMHtt_nDim.exclude_cuts = [] |
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| list | makePlots_datacardsSMHtt_nDim.higgs_masses = [mass for mass in datacards_per_channel_category.cb.mass_set() if mass != "*"] |
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| tuple | makePlots_datacardsSMHtt_nDim.output_file |
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| list | makePlots_datacardsSMHtt_nDim.tmp_output_files = [] |
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| tuple | makePlots_datacardsSMHtt_nDim.nominal = (shape_systematic == "nominal") |
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| list | makePlots_datacardsSMHtt_nDim.list_of_samples = [datacards.configs.process2sample(process) for process in list_of_samples] |
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| string | makePlots_datacardsSMHtt_nDim.systematic = "nominal" |
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| string | makePlots_datacardsSMHtt_nDim.samples = "\", \"" |
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| | makePlots_datacardsSMHtt_nDim.channel = channel, |
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| | makePlots_datacardsSMHtt_nDim.category = category, |
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| tuple | makePlots_datacardsSMHtt_nDim.config |
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| tuple | makePlots_datacardsSMHtt_nDim.systematics_settings = systematics_factory.get(shape_systematic) |
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| list | makePlots_datacardsSMHtt_nDim.qintervals = [] |
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| list | makePlots_datacardsSMHtt_nDim.subscores = [] |
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| string | makePlots_datacardsSMHtt_nDim.binnings_key = "binningMVAStudies_" |
| | if args.two_binning: nbins1D=2 subscores.append("(int({0}>=0.6)*{1})".format(q, float(int(nbins1D**i)))) else: calculate (digit corresponding to q)*(digit weight) i.e. More...
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| list | makePlots_datacardsSMHtt_nDim.binnings = binnings_settings.binnings_dict[binnings_key] |
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| | makePlots_datacardsSMHtt_nDim.histogram_name_template = bkg_histogram_name_templateifnominalelsebkg_syst_histogram_name_template |
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| tuple | makePlots_datacardsSMHtt_nDim.PROCESS = datacards.configs.sample2process(sample) |
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| | makePlots_datacardsSMHtt_nDim.BIN = category, |
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| | makePlots_datacardsSMHtt_nDim.SYSTEMATIC = systematic |
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| tuple | makePlots_datacardsSMHtt_nDim.tmp_output_file |
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| | makePlots_datacardsSMHtt_nDim.DST = output_file, |
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| string | makePlots_datacardsSMHtt_nDim.SRC = " " |
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| string | makePlots_datacardsSMHtt_nDim.merged_input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}.inputs-sm-${ERA}-mvis.root" |
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| tuple | makePlots_datacardsSMHtt_nDim.merged_output_file |
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| list | makePlots_datacardsSMHtt_nDim.debug_plot_configs = [] |
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| | makePlots_datacardsSMHtt_nDim.update_systematics = True |
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| tuple | makePlots_datacardsSMHtt_nDim.processes = datacards.cb.cp() |
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| float | makePlots_datacardsSMHtt_nDim.add_threshold = 0.1 |
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| dictionary | makePlots_datacardsSMHtt_nDim.datacards_cbs = {} |
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| dictionary | makePlots_datacardsSMHtt_nDim.datacards_poi_ranges = {} |
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| tuple | makePlots_datacardsSMHtt_nDim.channels = cb.channel_set() |
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| tuple | makePlots_datacardsSMHtt_nDim.datacards_workspaces = datacards.text2workspace(datacards_cbs, n_processes=args.n_processes) |
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| tuple | makePlots_datacardsSMHtt_nDim.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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