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Binned cluster count cosmological analysis with CCL backend on cosmoDC2 data

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
jupyter-notebook
Domain
data

Research direction

Start by reading issues 13 and 14, then locate the notebook for cosmological constraints on the cosmoDC2 dark matter halo catalog. Trace how the CCL backend is used for binned and unbinned cluster abundance. Done means the likelihood and covariance-estimation modules are implemented and the notebook demonstrates binned cluster-count abundance.

Written by the indexing model from the issue text.

Description

Compilation of issue/13 and issue/14, implementation of:

  • cluster abundance prediction with CCL (binned & unbinned),
  • likelihood module,
  • module for covariance matrix estimation,

To edit a notebook that shows cosmological constraints with cosmoDC2 dark matter halo catalog, using binned cluster count abundance with CCL backend.

Dominant language
Jupyter Notebook
Stars
9
Forks
1
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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