Add flux-preserving exact reproject for HEALPIX?
- Dominant language
- Python
- Stars
- 127
- Forks
- 74
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 2
Description
This is a feature request to add a flux-conserving (and equivalently count-conserving) reprojection method to / from HEALPIX.
For HEALPIX <-> HEALPIX it would be trivial, just multiply / divide by 4 to the power of difference in HEALPIX order. E.g. if one gets a huge HEALPIX file but doesn't need the high resolution, one could downsample. Not sure if this should be in `reproject` or in `healpy`. @lpsinger Maybe this exists in `healpy` and I missed it?
For HEALPIX <-> normal WCS projection image I don't know how to do it. I thought HEALPIX pixel boundaries are great circles and the 4-corner polygon "exact" method from Montage could be used as well, but this page http://healpix.jpl.nasa.gov/html/intronode4.htm explains that pixel boundaries are not great circles on the sphere.
The use case I have for this count- and flux-preserving reprojection would be to be able to go back and forth between HEALPIX and normal projections and be able to do correct photometry of sources e.g. on FERMI data. @lpsinger Easy or hard to implement? Worth the effort?
Contributor guide
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Research direction
No files, tests, or entry points are named. First determine whether the functionality belongs in reproject or healpy, then investigate HEALPIX pixel geometry and the proposed exact reprojection approach. Done means supporting flux- and count-conserving conversion between HEALPIX and normal WCS projections, including the stated photometry use case.
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