datacards.Datacards Class Reference

Inheritance diagram for datacards.Datacards:

Public Member Functions
def	__init__
def	add_processes
def	get_samples_per_shape_systematic
def	lnN2shape
def	extract_shapes
def	create_morphing_signals
def	add_bin_by_bin_uncertainties
def	scale_expectation
def	scale_processes
def	remove_shape_uncertainties
def	replace_observation_by_asimov_dataset
def	read_datacards
def	write_datacards
def	text2workspace
def	combine
def	annotate_trees
def	hypotestresulttree
def	plot1DScan
def	postfit_shapes
def	postfit_shapes_fromworkspace
def	prefit_postfit_plots
def	print_pulls
def	pull_plots
	This method is depreceated since there exists an official way to produce the impacts of nuisance parameters. More...
def	nuisance_impacts
def	auto_rebin

Static Public Member Functions
def	get_yield_unc_rel
	Extracts the data from background estimation methods stored in the metadata TObjString. More...

Public Attributes
	cb
	configs
	stable_options
	workspace
	morphing_variable

Constructor & Destructor Documentation

def datacards.Datacards.__init__	(		self,
			cb = None
	)

Member Function Documentation

def datacards.Datacards.add_bin_by_bin_uncertainties	(		self,
			processes,
			add_threshold = 0.1,
			merge_threshold = 0.5,
			fix_norm = True
	)

def datacards.Datacards.add_processes	(		self,
			channel,
			categories,
			bkg_processes,
			sig_processes = ["ztt"],
			add_data = True,
			args,
			kwargs
	)

def datacards.Datacards.annotate_trees	(		self,
			datacards_workspaces,
			root_filename,
			value_regex_list,
			value_replacements = None,
			n_processes = 1,
			values_tree_files = None,
			args
	)

def datacards.Datacards.auto_rebin	(		self,
			bin_threshold = 1.0,
			rebin_mode = 0
	)

def datacards.Datacards.combine	(		self,
			datacards_cbs,
			datacards_workspaces,
			datacards_poi_ranges = None,
			n_processes = 1,
			args,
			kwargs
	)

def datacards.Datacards.create_morphing_signals	(		self,
			morphing_variable_name,
			nominal_value,
			min_value,
			max_value
	)

def datacards.Datacards.extract_shapes	(		self,
			root_filename_template,
			bkg_histogram_name_template,
			sig_histogram_name_template,
			bkg_syst_histogram_name_template,
			sig_syst_histogram_name_template,
			update_systematics = False
	)

def datacards.Datacards.get_samples_per_shape_systematic	(		self,
			channel = None,
			category = None,
			kwargs
	)

def datacards.Datacards.get_yield_unc_rel (   histogram_path,   root_file,   root_object_paths  )

static

Extracts the data from background estimation methods stored in the metadata TObjString.

def datacards.Datacards.hypotestresulttree	(		self,
			datacards_cbs,
			n_processes = 1,
			rvalue = "1",
			poiname = "x"
	)

def datacards.Datacards.lnN2shape	(		self,
			kwargs
	)

def datacards.Datacards.nuisance_impacts	(		self,
			datacards_cbs,
			datacards_workspaces,
			n_processes = 1,
			args
	)

def datacards.Datacards.plot1DScan	(		self,
			datacards_cbs,
			datacards_workspaces,
			poi,
			n_processes = 1,
			args,
			kwargs
	)

def datacards.Datacards.postfit_shapes	(		self,
			datacards_cbs,
			s_fit_only = False,
			n_processes = 1,
			args,
			kwargs
	)

def datacards.Datacards.postfit_shapes_fromworkspace	(		self,
			datacards_cbs,
			datacards_workspaces,
			s_fit_only = False,
			n_processes = 1,
			args,
			kwargs
	)

def datacards.Datacards.prefit_postfit_plots	(		self,
			datacards_cbs,
			datacards_postfit_shapes,
			plotting_args = None,
			n_processes = 1,
			signal_stacked_on_bkg = False,
			args,
			kwargs
	)

def datacards.Datacards.print_pulls	(		self,
			datacards_cbs,
			n_processes = 1,
			args,
			kwargs
	)

def datacards.Datacards.pull_plots	(		self,
			datacards_postfit_shapes,
			s_fit_only = False,
			plotting_args = None,
			n_processes = 1,
			args
	)

This method is depreceated since there exists an official way to produce the impacts of nuisance parameters.

def datacards.Datacards.read_datacards	(		self,
			datacard_filename_template,
			root_filename_template,
			input_directory = "."
	)

def datacards.Datacards.remove_shape_uncertainties

(

self

)

def datacards.Datacards.replace_observation_by_asimov_dataset	(		self,
			signal_mass = None,
			signal_processes = None
	)

def datacards.Datacards.scale_expectation	(		self,
			scale_factor,
			no_norm_rate_bkg = False,
			no_norm_rate_sig = False
	)

def datacards.Datacards.scale_processes	(		self,
			scale_factor,
			processes,
			no_norm_rate = False
	)

def datacards.Datacards.text2workspace	(		self,
			datacards_cbs,
			n_processes = 1,
			args,
			kwargs
	)

def datacards.Datacards.write_datacards	(		self,
			datacard_filename_template,
			root_filename_template,
			output_directory = "."
	)

Member Data Documentation

datacards.Datacards.cb

datacards.Datacards.configs

datacards.Datacards.morphing_variable

datacards.Datacards.stable_options

datacards.Datacards.workspace

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The documentation for this class was generated from the following file:

• python/datacards/datacards.py