firecrown.likelihood.gauss_family.statistic.supernova.Supernova

class firecrown.likelihood.gauss_family.statistic.supernova.Supernova(sacc_tracer)

Bases: Statistic

A supernova statistic.

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

Parameters:

sacc_tracer (str) –

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(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_theory_vector(tools)

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.

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_compute_theory_vector(tools)

Compute SNIa distance statistic using CCL.

Parameters:

tools (ModelingTools) –

Return type:

TheoryVector

get_data_vector()

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

Return type:

DataVector

read(sacc_data)

Read the data for this statistic from the SACC file.

Parameters:

sacc_data (Sacc) –

Return type:

None