https://github.com/lsst/scarlet_lite
Lite version of scarlet deblending code tuned for LSST-like images
https://github.com/lsst/scarlet_lite
Last synced: over 1 year ago
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Lite version of scarlet deblending code tuned for LSST-like images
- Host: GitHub
- URL: https://github.com/lsst/scarlet_lite
- Owner: lsst
- License: gpl-3.0
- Created: 2022-12-23T21:35:15.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-20T20:53:49.000Z (over 1 year ago)
- Last Synced: 2025-02-20T21:33:44.673Z (over 1 year ago)
- Language: Python
- Size: 420 KB
- Stars: 2
- Watchers: 59
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Scarlet Lite
This package is a re-imagining of the original [scarlet](https://github.com/lsst/scarlet) deblending package specificaly designed for single instrument surveys where all of the observed images have been reprojected onto the same WCS, with the same pixel grid.
Scarlet Lite uses the same algorithm as the original scarlet, as described in [Melchior et al. (2018)](https://doi.org/10.1016/j.ascom.2018.07.001), with a more streamlined architecture that is faster and uses less memory due to the assumptions regarding the observed images.
Outside of the [LSST science pipelines](https://pipelines.lsst.io/) this can be installed from the command line using
```
> pip install .
```
Inside the [LSST science pipelines](https://pipelines.lsst.io/) this can be installed by navigating to the repo directory and entering
```
> setup -j -r .
> scons
```
after setting up the lsst environment.
To build the docs one must be in the LSST environment and enter
```
> setup -j -r .
> package-docs build
```
which will build the docs in the `doc/build` directory.