Implementing the DES SN5YR

[martin-millon]

This is a draft. Not ready to be merged yet.

[martin-millon]

this is tested in LCDM, I recover the same results as in https://arxiv.org/abs/2202.04077:

I think this is ready to be merged.

[martin-millon]

Full testing is here: https://github.com/TDCOSMO/7LensMilestone/blob/main/Likelihoods/SNIaLikelihood/test_sampling_SNIa.ipynb

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 99.08%. Comparing base (092744f) to head (ab9cfe9).
Report is 8 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #49      +/-   ##
==========================================
+ Coverage   99.07%   99.08%   +0.01%     
==========================================
  Files          50       51       +1     
  Lines        2702     2744      +42     
==========================================
+ Hits         2677     2719      +42     
  Misses         25       25              

Files with missing lines	Coverage Δ
hierarc/Diagnostics/goodness_of_fit.py	100.00% <ø> (ø)
...Likelihood/LensLikelihood/ddt_dd_kde_likelihood.py	100.00% <100.00%> (ø)
hierarc/Likelihood/SneLikelihood/des_5yr.py	100.00% <100.00%> (ø)
hierarc/Likelihood/SneLikelihood/sne_likelihood.py	100.00% <100.00%> (ø)
hierarc/Likelihood/hierarchy_likelihood.py	96.95% <100.00%> (ø)
hierarc/Likelihood/kin_scaling.py	100.00% <100.00%> (ø)
hierarc/Sampling/ParamManager/cosmo_param.py	100.00% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[sibirrer]

Looks great, thank you @martin-millon !