CosmoStat / CosmoStat/sp_validation
SOM-based tomographic bin definition + n(z)
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2
- Forks
- 5
- Avg merge
- 1d 14h
- Merged PRs (30d)
- 19
Description
Define robust tomographic bins and n(z) via a SOM. Open choices: calibration anchor (DESI vs CFHTLenS); equipopulated vs a-priori bin boundaries; per-bin SOMs vs one master SOM (to avoid dense low-z regions dominating the topology). Cross-check against WZ clustering-redshifts (Romain has code). Owner: Klara.
Context: Paris meeting notes
Contributor guide
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.
Research direction
Start with the Paris meeting notes and review Romain's WZ clustering-redshifts code. Resolve the calibration anchor, bin-boundary strategy, and whether to use per-bin or one master SOM before implementation. Done means robust tomographic bins and n(z), cross-checked against WZ clustering-redshifts.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100