def __init__(self, setup_light: ag_setup.SetupLightParametric = None):
"""
Abstract class for a parametric light `SLaMPipeline` object, which contains the `Setup` objects for a given
Source, Light and Mass (SLaM) pipeline.
The pipeline this object contains the setups for fits in a parametric light pipeline, where `LightProile`
`PriorModel`'s fit the lens's light. The lens galaxy mass and source galaxy light model-fits assume the models
fitted in previous source pipelines, using the results to set their parameter and priors.
The SLaM pipelines are template pipelines used by PyAutoLens (see `autolens_workspace/slam`) which break the
model-fitting of a strong lens down into the following 3+ linked pipelines:
1) Source: Obtain an accurate source model (using parametric `LightProfile`'s and / or an `Inversion`.
2) Light: Obtain an accurate lens light model (using parametric `LightProfile`'s).
3) Mass: Obtain an accurate mass model (using a `MassProfile` representing the total mass distribution or
decomposed `MassProfile`'s representing the light and dark matter).
Parameters
----------
setup_light : SetupLightParametric
The setup of the light profile modeling (e.g. for bulge-disk models if they are geometrically aligned).
"""
if setup_light is None:
setup_light = ag_setup.SetupLightParametric()
super().__init__(setup_light=setup_light)
def __init__(
self,
setup_light: ag_setup.SetupLightParametric = None,
setup_mass: setup.SetupMassTotal = None,
setup_source: setup.SetupSourceParametric = None,
):
"""
Abstract class for parametric source `SLaMPipeline` object, which contains the `Setup` objects for a given
Source, Light and Mass (SLaM) pipeline.
This object contains the setups for fits in a parametric source pipeline, using `LightProile` `PriorModel`'s to
fit the source. The lens galaxy light and mass model-fits can be customized, with defaults using an
`EllipticalSersic` bulge, `EllipticalExponential` disk and `EllipticalIsothermal` mass.
The SLaM pipelines are template pipelines used by PyAutoLens (see `autolens_workspace/slam`) which break the
model-fitting of a strong lens down into the following 3+ linked pipelines:
1) Source: Obtain an accurate source model (using parametric `LightProfile`'s and / or an `Inversion`.
2) Light: Obtain an accurate lens light model (using parametric `LightProfile`'s).
3) Mass: Obtain an accurate mass model (using a `MassProfile` representing the total mass distribution or
decomposed `MassProfile`'s representing the light and dark matter).
Parameters
----------
setup_light : SetupLightParametric
The setup of the light profile modeling (e.g. for bulge-disk models if they are geometrically aligned).
setup_mass : SetupMassTotal
The setup of the mass modeling (e.g. if a constant mass to light ratio is used).
setup_source : SetupSourceParametric
The setup of the source analysis (e.g. the `LightProfile`, `Pixelization` or `Regularization` used).
"""
if setup_light is None:
setup_light = ag_setup.SetupLightParametric()
if setup_mass is None:
setup_mass = setup.SetupMassTotal(
mass_prior_model=mp.EllipticalIsothermal)
if setup_source is None:
setup_source = setup.SetupSourceParametric()
super().__init__(setup_light=setup_light,
setup_mass=setup_mass,
setup_source=setup_source)