Cluster example implementing SDSS cluster number counts and mean masses.

[yyzhang]

Cluster example implementing SDSS cluster number counts and mean masses.

1. Updated syntaxes in "demo_sacc_for_clusters.ipynb" to work with new syntaxes.

2. Generate SACC file that correspond to SDSS cluster observables.

• Implemented a "generate_SDSS_ClusterCountsMass_sacc_data.py" in examples to generate new SACC file corresponding to SDSS cluster counts and mean masses.
• But not sure how to test this file
• Also thought that this could be merged into generate_rich_mean_mass_sacc_data.py as a separate function to be called by the main code.

3. Configure osmosis and fire crown to work with SDSS SACC file

• New osmosis ini file: cluster_SDSS_counts_mean_mass_redshift_richness.ini
• New python file to be used by Firecrown likelihood: cluster_SDSS_redshift_richness.py

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 100.0%. Comparing base (9185e57) to head (c51e2f1).

Additional details and impacted files

@@           Coverage Diff           @@
##           master     #443   +/-   ##
=======================================
  Coverage   100.0%   100.0%           
=======================================
  Files          50       50           
  Lines        4608     4608           
  Branches      507      507           
=======================================
  Hits         4608     4608           

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

[vitenti]

Thank @yyzhang for the additional example. We just updated the interface and included it in the test suit. Please tell us if it is OK to mark as ready for review and merge it.

[yyzhang]

Thanks, I changed the status to ready for review! It is ready to be merged.

I have included one minor change to the integration range of the likelihood function associated with this example, to make it more robust.