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.
Determine if the object has been updated.
reset
()Reset the updatable.
Returns a RequiredParameters object.
Returns a collection of derived parameters.
Inherited from
Generic
__class_getitem__
(params)Parameterizes a generic class.
__init_subclass__
(*args, **kwargs)This method is called when a class is subclassed.
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.
Return a RequiredParameters object containing the information for this class.
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:
tools (
ModelingTools
) – A ModelingTools object.tracer_arg (
WeakLensingArgs
) – The WeakLensingArgs to which apply the shear bias.
- Return type:
- Returns:
A new WeakLensingArgs object with the shear bias applied.