Add option to calculate errors on the fit params assuming Wilks' theorem.

[chiarabellenghi]

skyllh/skyllh/core/analysis.py

Lines 1071 to 1124 in 074c508

	def do_trial(
	self,
	rss,
	mean_n_bkg_list=None,
	mean_n_sig=0,
	bkg_kwargs=None,
	sig_kwargs=None,
	minimizer_status_dict=None,
	tl=None,
	**kwargs):
	"""This method performs an analysis trial by generating a
	pseudo data sample with background events and possible signal events
	via the :meth:`generate_pseudo_data` method, and performs the analysis
	on that random pseudo data sample by calling the
	:meth:`do_trial_with_given_pseudo_data` method.
	Parameters
	----------
	rss : instance of RandomStateService
	The instance of RandomStateService instance to use for generating
	random numbers.
	mean_n_bkg_list : list of float | None
	The mean number of background events that should be generated for
	each dataset. If set to None (the default), the background
	generation method needs to obtain this number itself.
	mean_n_sig : float
	The mean number of signal events that should be generated for the
	trial.
	bkg_kwargs : dict | None
	Additional keyword arguments for the `generate_events` method of the
	background generation method class. An usual keyword argument is
	`poisson`.
	sig_kwargs : dict | None
	Additional keyword arguments for the `generate_signal_events` method
	of the `SignalGenerator` class. An usual keyword argument is
	`poisson`.
	minimizer_status_dict : dict | None
	If a dictionary is provided, it will be updated with the minimizer
	status dictionary.
	tl : instance of TimeLord | None
	The optional instance of TimeLord that should be used to time
	individual tasks.
	**kwargs : dict
	Additional keyword arguments are passed to the
	:meth:`do_trial_with_given_pseudo_data` method.
	Returns
	-------
	recarray : instance of numpy record ndarray
	The numpy record ndarray holding the result of the trial.
	See the documentation of the
	:py:meth:`~skyllh.core.analysis.Analysis.do_trial_with_given_pseudo_data`
	method for further information.
	"""