RadioAstronomySoftwareGroup / RadioAstronomySoftwareGroup/pyuvdata
Better support for iterative/sequential/tandem calibration techniques
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 102
- Forks
- 35
- Avg merge
- 1d 20h
- Merged PRs (30d)
- 14
Description
In general, further work is required for tandem/hybrid calibration that combines sky and redundant. Need to determine what parameters are required. Or more generally, any iterative calibration is harder to capture in our scheme. Potentially just using multiple UVCal objects, then having new methods to combine them via e.g. multiplication.
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 UVCal objects and the existing calibration workflow; the issue does not name specific files or tests. Determine which parameters tandem, hybrid, and iterative calibration require and how multiple UVCal objects should be combined. Done means the supported iterative or sequential calibration approach is defined and implemented with coverage for the relevant cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100