Namespaces
	makePlots_datacardsZttPolarisation

Functions
def	makePlots_datacardsZttPolarisation.replace_observation_by_asimov_dataset

Variables
tuple	makePlots_datacardsZttPolarisation.log = logging.getLogger(__name__)

tuple	makePlots_datacardsZttPolarisation.parser

string	makePlots_datacardsZttPolarisation.help = "Input directory."

list	makePlots_datacardsZttPolarisation.default = ["mt", "et", "tt", "em"]

list	makePlots_datacardsZttPolarisation.choices = ["individual", "channel", "category", "combined"]

tuple	makePlots_datacardsZttPolarisation.args = parser.parse_args()

tuple	makePlots_datacardsZttPolarisation.sample_settings = samples.Samples()

tuple	makePlots_datacardsZttPolarisation.binnings_settings = binnings.BinningsDict()

tuple	makePlots_datacardsZttPolarisation.systematics_factory = systematics.SystematicsFactory()

list	makePlots_datacardsZttPolarisation.plot_configs = []

list	makePlots_datacardsZttPolarisation.output_files = []

list	makePlots_datacardsZttPolarisation.merged_output_files = []

list	makePlots_datacardsZttPolarisation.hadd_commands = []

tuple	makePlots_datacardsZttPolarisation.datacards = zttpolarisationdatacards.ZttPolarisationDatacards()

string	makePlots_datacardsZttPolarisation.tmp_input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${SYSTEMATIC}_${ERA}.root"

string	makePlots_datacardsZttPolarisation.input_root_filename_template = "input/${ANALYSIS}_${CHANNEL}_${BIN}_${ERA}.root"

string	makePlots_datacardsZttPolarisation.bkg_histogram_name_template = "${BIN}/${PROCESS}"

string	makePlots_datacardsZttPolarisation.sig_histogram_name_template = "${BIN}/${PROCESS}"

string	makePlots_datacardsZttPolarisation.bkg_syst_histogram_name_template = "${BIN}/${PROCESS}_${SYSTEMATIC}"

string	makePlots_datacardsZttPolarisation.sig_syst_histogram_name_template = "${BIN}/${PROCESS}_${SYSTEMATIC}"

string	makePlots_datacardsZttPolarisation.output_root_filename_template = "datacards/common/${ANALYSIS}.input_${ERA}.root"

list	makePlots_datacardsZttPolarisation.datacard_filename_templates = []

tuple	makePlots_datacardsZttPolarisation.categories = datacards.cb.cp()

tuple	makePlots_datacardsZttPolarisation.datacards_per_channel_category = zttpolarisationdatacards.ZttPolarisationDatacards(cb=datacards.cb.cp().channel([channel]).bin([category]))

list	makePlots_datacardsZttPolarisation.higgs_masses = [mass for mass in datacards_per_channel_category.cb.mass_set() if mass != "*"]

tuple	makePlots_datacardsZttPolarisation.output_file

list	makePlots_datacardsZttPolarisation.tmp_output_files = []

tuple	makePlots_datacardsZttPolarisation.nominal = (shape_systematic == "nominal")

list	makePlots_datacardsZttPolarisation.list_of_samples = [datacards.configs.process2sample(process) for process in list_of_samples]

list	makePlots_datacardsZttPolarisation.asimov_nicks = []

string	makePlots_datacardsZttPolarisation.systematic = "nominal"

string	makePlots_datacardsZttPolarisation.samples = "\", \""

	makePlots_datacardsZttPolarisation.channel = channel,

	makePlots_datacardsZttPolarisation.category = category,

tuple	makePlots_datacardsZttPolarisation.config

tuple	makePlots_datacardsZttPolarisation.systematics_settings = systematics_factory.get(shape_systematic)

string	makePlots_datacardsZttPolarisation.binnings_key = "binningZttPol13TeV_"

	makePlots_datacardsZttPolarisation.histogram_name_template = bkg_histogram_name_templateifnominalelsebkg_syst_histogram_name_template

tuple	makePlots_datacardsZttPolarisation.PROCESS = datacards.configs.sample2process(sample.replace("asimov", "data"))

	makePlots_datacardsZttPolarisation.BIN = category,

	makePlots_datacardsZttPolarisation.SYSTEMATIC = systematic

tuple	makePlots_datacardsZttPolarisation.tmp_output_file

	makePlots_datacardsZttPolarisation.DST = output_file,

string	makePlots_datacardsZttPolarisation.SRC = " "

list	makePlots_datacardsZttPolarisation.debug_plot_configs = []

	makePlots_datacardsZttPolarisation.update_systematics = True

tuple	makePlots_datacardsZttPolarisation.processes = datacards.cb.cp()

float	makePlots_datacardsZttPolarisation.add_threshold = 0.1

tuple	makePlots_datacardsZttPolarisation.tmp_output_dir = os.path.join(args.output_dir, "" if scaled_lumi is None else ("lumi{:07}pb".format(int(scale_lumi*1000))))

	makePlots_datacardsZttPolarisation.tmp_www = None

dictionary	makePlots_datacardsZttPolarisation.polarisation_values_tree_files = {}

tuple	makePlots_datacardsZttPolarisation.output_dir = os.path.join(tmp_output_dir, "" if asimov_polarisation is None else ("pol{:04}".format(int(asimov_polarisation*1000))))

	makePlots_datacardsZttPolarisation.www = None

dictionary	makePlots_datacardsZttPolarisation.datacards_cbs = {}

tuple	makePlots_datacardsZttPolarisation.datacards_workspaces

	makePlots_datacardsZttPolarisation.split_stat_syst_uncs = False

tuple	makePlots_datacardsZttPolarisation.datacards_postfit_shapes

dictionary	makePlots_datacardsZttPolarisation.plotting_args = {"ratio" : args.ratio, "args" : args.args, "lumi" : args.lumi, "x_expressions" : "tauPolarisationDiscriminatorSvfit", "era" : "2015", "www" : www}

	makePlots_datacardsZttPolarisation.n_processes = args.n_processes,

	makePlots_datacardsZttPolarisation.signal_stacked_on_bkg = True

	makePlots_datacardsZttPolarisation.s_fit_only = True,

list	makePlots_datacardsZttPolarisation.additional_freeze_nuisances = ["r"]

dictionary	makePlots_datacardsZttPolarisation.annotation_replacements = {channel : index for (index, channel) in enumerate(["combined"] + args.channel)}

dictionary	makePlots_datacardsZttPolarisation.values_tree_files = {}

tuple	makePlots_datacardsZttPolarisation.x_values = sorted([values[0] for values in values_tree_files.keys() if values[0] > -990.0])

dictionary	makePlots_datacardsZttPolarisation.inv_annotation_replacements = {value : key for key, value in annotation_replacements.iteritems() if (type(key) != int) or (key < 1000)}

tuple	makePlots_datacardsZttPolarisation.x_values_raw = sorted([values[1] for values in values_tree_files.keys() if values[1] > -990.0])

Namespaces

Functions

Variables