prepare data vector as a SACC file
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- data
Research direction
Start by locating how the binned number count and covariance are produced, then determine the SACC representation required for passing them to FireCrown. Done means those data are stored in a SACC file that can support the stated basic number-count cosmological analysis.
Written by the indexing model from the issue text.
Description
The binned number count and covariance need to be stored as a SACC file to be passed to FireCrown. This is a first step to run a basic number count cosmological analysis with Firecrown
- Dominant language
- Jupyter Notebook
- Stars
- 9
- Forks
- 1
- PR merge metrics
- 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
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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