Shared Parameters of Combined Light / Mass Profiles about pyautolens HOT 2 CLOSED

So currently we create three prior collections:

shared_lens_light_priors = PriorCollection(UniformPrior('centre_x'), UniformPrior('centre_y'))
lens_light_sersic_1_priors = PriorCollections(...)
lens_light_sersic_2_priors = PriorCollections(...)

In this formalism we need a unit hypercube vector corresponding to each individual collection. That is converted into a dictionary of arguments by the collection:

sersic_1_arguments = lens_light_sersic_1_priors.arguments_for_vector(vector1)
sersic_2_arguments = lens_light_sersic_2_priors.arguments_for_vector(vector2)
shared_lens_arguments = shared_lens_light_priors.arguments_for_vector(vector3)

The individual sersic arguments are updated using the shared arguments:

sersic_1_arguments.update(shared_lens_arguments)
sersic_2_arguments.update(shared_lens_arguments)

And finally the sersic profiles are instantiated using the combined arguments:

sersic_1 = EllipticalSersic(**sersic_1_arguments)
sersic_2 = EllipticalSersic(**sersic_2_arguments)

This has some aspect of manually mapping unit vectors to classes. We may want to encode the associated classes and their structure into the PriorCollection some how.

from pyautolens.

I'm going to close this, as we seem to have moved the CombinedProfile classes to the Galaxy class, and are discussing this aspect of the ClassMap w.r.t that now.

from pyautolens.