Hierarchical sampling with composite mass model

[ajshajib]

This PR adds the feature to consider a composite mass model in kinematic computation, for example, generalized NFW and stars.

[ajshajib]

To-do list:

• Implement conversion from Sersic light profile into MGE within hierArc.
• Write test functions.
• Extend LensLikelihood to interpolate kinematics computation for individual-level composite model parameters, with extensions of AnisotropyScalingIFU or similar new classes.

[ajshajib]

@sibirrer, looks like pre-commit.ci is not inastalled for the repo. In that case, can you kindly do that?

[codecov-commenter]

Codecov Report

Merging #20 (1de5e4e) into main (56c660f) will increase coverage by 0.12%.
The diff coverage is 100.00%.

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Additional details and impacted files

@@            Coverage Diff             @@
##             main      #20      +/-   ##
==========================================
+ Coverage   99.23%   99.35%   +0.12%     
==========================================
  Files          43       44       +1     
  Lines        1950     2182     +232     
==========================================
+ Hits         1935     2168     +233     
+ Misses         15       14       -1     

Files	Coverage Δ
hierarc/LensPosterior/base_config.py	100.00% <100.00%> (ø)
hierarc/LensPosterior/kin_constraints.py	97.18% <ø> (ø)
hierarc/LensPosterior/kin_constraints_composite.py	100.00% <100.00%> (ø)
.../Likelihood/LensLikelihood/base_lens_likelihood.py	100.00% <100.00%> (ø)
...kelihood/LensLikelihood/ddt_dd_gauss_likelihood.py	100.00% <100.00%> (ø)
...Likelihood/LensLikelihood/ddt_dd_kde_likelihood.py	100.00% <100.00%> (ø)
...elihood/LensLikelihood/ddt_gauss_kin_likelihood.py	100.00% <100.00%> (ø)
...kelihood/LensLikelihood/ddt_hist_kin_likelihood.py	100.00% <100.00%> (ø)
...kelihood/LensLikelihood/ds_dds_gauss_likelihood.py	100.00% <100.00%> (ø)
...ierarc/Likelihood/LensLikelihood/kin_likelihood.py	98.11% <100.00%> (ø)
... and 5 more

[sibirrer]

@sibirrer, looks like pre-commit.ci is not inastalled for the repo. In that case, can you kindly do that?

just did it @ajshajib

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[sibirrer]

Thank you @ajshajib. Unfortunately I don't see a test coverage, but otherwise it good to go

[ajshajib]

Thanks @sibirrer for approval, and also to @williyamshoe for his contributions! The test coverage is a little hidden to see, but it's here: https://app.codecov.io/gh/sibirrer/hierArc/pull/20. The above message from codecov, which auto-updated after the last commit, says that the new lines are 100% tested and overall coverage increased by 0.12%.

It also gives the notice, which may have to do with the coverage report being a little hard to find.

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