firecrown.likelihood.gauss_family.statistic.supernova.Supernova#

class firecrown.likelihood.gauss_family.statistic.supernova.Supernova(sacc_tracer)[source]#

A supernova statistic.

This statistic that applies an additive shift M to a supernova’s distance modulus.

Public Methods:

`__init__`(sacc_tracer)	Initialize this statistic.
`read`(sacc_data)	Read the data for this statistic from the SACC file.
`get_data_vector`()	Return the data vector; raise exception if there is none.

Inherited from Statistic

`__init__`([parameter_prefix])	Updatable initialization.
`read`(_)	Read the data for this statistic and mark it as ready for use.
`get_data_vector`()	Gets the statistic data vector.
`compute_theory_vector`(tools)	Compute a statistic from sources, applying any systematics.
`get_theory_vector`()	Returns the last computed theory vector.

Inherited from Updatable

`__init__`([parameter_prefix])	Updatable initialization.
`__setattr__`(key, value)	Set the attribute named `key` to the supplied value.
`set_parameter`(key, value)	Sets the parameter to the given value.
`set_internal_parameter`(key, value)	Assure this InternalParameter has not already been set, and then set it.
`set_sampler_parameter`(key, value)	Assure this SamplerParameter has not already been set, and then set it.
`update`(params)	Update self by calling to prepare for the next MCMC sample.
`is_updated`()	Determine if the object has been updated.
`reset`()	Reset the updatable.
`required_parameters`()	Returns a RequiredParameters object.
`get_derived_parameters`()	Returns a collection of derived parameters.

Private Methods:

Compute SNIa distance statistic using CCL.

Inherited from Statistic

`_reset`()	Reset this statistic.
`_compute_theory_vector`(tools)	Compute a statistic from sources, concrete implementation.

Inherited from Updatable

`_update`(params)	Method for auxiliary updates to be made to an updatable.
`_reset`()	Abstract method implemented by all concrete classes to update self.
`_required_parameters`()	Return a RequiredParameters object containing the information for this class.
`_get_derived_parameters`()	Returns the derived parameters of an implementation.

_compute_theory_vector(tools)[source]#

Compute SNIa distance statistic using CCL.

get_data_vector()[source]#

Return the data vector; raise exception if there is none.

read(sacc_data)[source]#

Read the data for this statistic from the SACC file.

firecrown.likelihood.gauss_family.statistic.supernova.Supernova