firecrown.likelihood.gauss_family.statistic.source.number_counts.NumberCountsSystematic#

class firecrown.likelihood.gauss_family.statistic.source.number_counts.NumberCountsSystematic(parameter_prefix=None)[source]#

Abstract base class for systematics for Number Counts sources.

Derived classes must implement :python`apply` with the correct signature.

Public Methods:

apply(tools, tracer_arg)

Apply method to include systematics in the tracer_arg.

apply(tools, tracer_arg)

Apply method to include systematics in the tracer_arg.

Inherited from SourceSystematic

read(sacc_data)

Call to allow this object to read from the appropriate sacc data.

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.

Inherited from Generic

`__class_getitem__`	Parameterizes a generic class.
`__init_subclass__`	Function to initialize subclasses.

Private Methods:

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.

abstract apply(tools, tracer_arg)[source]#

Apply method to include systematics in the tracer_arg.

Parameters:

Return type:

NumberCountsArgs

firecrown.likelihood.gauss_family.statistic.source.number_counts.NumberCountsSystematic