Nla m test

[chrgeorgiou]

Description

This is an implementation of the mass-dependent NLA model for intrinsic alignments as a weak lensing systematic. It adds a simple NLA systematic to each weak lensing tracer where the intrinsic alignment bias amplitude for the NLA model is given by:

$$ A_\mathrm{IA,total}^{(i)}=A_\mathrm{IA,0}f^{(i)}_r\left( \frac{\langle M_\mathrm{h} \rangle^{(i)}}{M_\mathrm{h,piv}} \right)^\beta, $$

where $A_\mathrm{IA,0},\beta$ are the amplitude and mass scaling of the model (as shared parameters, with the same values used for all tracers at each likelihood evaluation) while $f_r^{(i)}$, $\langle M_\mathrm{h} \rangle^{(i)}$ are the fraction of red galaxies and average halo mass of tracer $(i)$. The default pivot halo mass $M_\mathrm{h,piv}=10^{13.5}$ $\mathrm{M_{sun}}/h$.

Type of change

• New feature (non-breaking change which adds functionality)

Checklist:

The following checklist will make sure that you are following the code style and
guidelines of the project as described in the
contributing page.

• I have run bash pre-commit-check and fixed any issues
• I have added tests that prove my fix is effective or that my feature works
• I have made corresponding changes to the documentation
• I have 100% test coverage for my changes (please check this after the CI system has verified the coverage)

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.0%. Comparing base (ee9fb5d) to head (a40dc68).

Additional details and impacted files

@@           Coverage Diff           @@
##           master     #602   +/-   ##
=======================================
  Coverage   100.0%   100.0%           
=======================================
  Files         151      151           
  Lines        9044     9064   +20     
  Branches     1033     1033           
=======================================
+ Hits         9044     9064   +20     

Files with missing lines	Coverage Δ
firecrown/likelihood/_weak_lensing.py	100.0% <100.0%> (ø)
firecrown/likelihood/weak_lensing/__init__.py	100.0% <ø> (ø)

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