firecrown.likelihood.gauss_family.statistic.source.number_counts.PTNonLinearBiasSystematic

class firecrown.likelihood.gauss_family.statistic.source.number_counts.PTNonLinearBiasSystematic(sacc_tracer)

Bases: NumberCountsSystematic

Non-linear bias systematic.

This systematic adds a linear bias model which varies with redshift and the growth function.

The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters:

Variables:

• b_2 – the quadratic bias.

• b_s – the stochastic bias.

Parameters:

sacc_tracer (str) –

Public Methods:

__init__(sacc_tracer)	Initialize the PTNonLinearBiasSystematic.
apply(tools, tracer_arg)	Apply method to include systematics in the tracer_arg.

Inherited from NumberCountsSystematic

apply(tools, tracer_arg)

Apply method to include systematics in the tracer_arg.

Inherited from SourceGalaxySystematic

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.

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apply(tools, tracer_arg)

Apply method to include systematics in the tracer_arg.

Parameters:

• tools (ModelingTools) –

• tracer_arg (NumberCountsArgs) –

Return type:

NumberCountsArgs