firecrown.likelihood.gauss_family.statistic.source.weak_lensing.MultiplicativeShearBias

firecrown.likelihood.gauss_family.statistic.source.weak_lensing.MultiplicativeShearBias#

class firecrown.likelihood.gauss_family.statistic.source.weak_lensing.MultiplicativeShearBias(sacc_tracer)[source]#

Bases: WeakLensingSystematic

Multiplicative shear bias systematic.

This systematic adjusts the scale_ of a source by (1 + m).

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:

mult_bias – the multiplicative shear bias parameter.

Parameters:

sacc_tracer (str) –

Public Methods:

__init__(sacc_tracer)

Create a MultiplicativeShearBias object that uses the named tracer.

apply(tools, tracer_arg)

Apply multiplicative shear bias to a source.
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(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.
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.
apply(tools, tracer_arg)[source]#

Apply multiplicative shear bias to a source.

The scale_ of the source is multiplied by (1 + m).

Parameters:
Return type:

WeakLensingArgs

Returns:

A new WeakLensingArgs object with the shear bias applied.

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