regularizepsf
A package for manipulating and correcting variable point spread functions.
Below is an example of correcting model data using the package. An initial image of a simplified starfield (a) is synthetically observed with a slowly
varying PSF (b), then regularized with this technique (c). The final image visually matches a direct convolution of
the initial image with the target PSF (d). The panels are gamma-corrected to highlight the periphery of the model PSFs.
Getting started
pip install regularizepsf and then follow along with the documentation.
Contributing
We encourage all contributions. If you have a problem with the code or would like to see a new feature, please open an issue. Or you can submit a pull request.
If you're contributing code please see this package's development guide.
License
See LICENSE file
Need help?
Please ask a question in our discussions
Citation
Please cite the associated paper if you use this technique:
@article{Hughes_2023,
doi = {10.3847/1538-3881/acc578},
url = {https://dx.doi.org/10.3847/1538-3881/acc578},
year = {2023},
month = {apr},
publisher = {The American Astronomical Society},
volume = {165},
number = {5},
pages = {204},
author = {J. Marcus Hughes and Craig E. DeForest and Daniel B. Seaton},
title = {Coma Off It: Regularizing Variable Point-spread Functions},
journal = {The Astronomical Journal}
}
If you use this software, please also cite the package with the specific version used. Zenodo always has the most up-to-date citation.
Metadata
Release files for regularizepsf 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| regularizepsf-1.2.1.tar.gz | 9.0 MB | With provenance | Details for regularizepsf-1.2.1.tar.gz |
Release files / regularizepsf-1.2.1.tar.gz
| Download URL | regularizepsf-1.2.1.tar.gz |
|---|---|
| Size | 9.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e20bae447273c4fb14b54f6afdc6581203833ccde99242ba039878cdfa6eeb86
|
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Yes |
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twine/6.1.0 CPython/3.13.14
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