firecrown.likelihood.gauss_family.statistic.source.weak_lensing.TattAlignmentSystematic

class firecrown.likelihood.gauss_family.statistic.source.weak_lensing.TattAlignmentSystematic(sacc_tracer=None)

Bases: WeakLensingSystematic

TATT alignment systematic.

This systematic adds a TATT (nonlinear) intrinsic alignment model systematic.

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:

• ia_a_1 – the amplitude of the linear alignment model.

• ia_a_2 – the amplitude of the quadratic alignment model.

• ia_a_d – the amplitude of the density-dependent alignment model.

Parameters:

sacc_tracer (None | str) –

Public Methods:

__init__([sacc_tracer])	Create a TattAlignmentSystematic object, using the specified tracer name.
apply(tools, tracer_arg)	Return a new linear alignment systematic.

Inherited from WeakLensingSystematic

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)

Return a new linear alignment systematic.

This choice is based on the given tracer_arg, in the context of the given cosmology.

Parameters:

• tools (ModelingTools) –

• tracer_arg (WeakLensingArgs) –

Return type:

WeakLensingArgs