regularizepsf 0.2.3

Point spread function modeling and regularization

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 Quickstart section.

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.

License

See LICENSE for the MIT license

Need help?

Please contact Marcus Hughes at [e-mail].

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:

@software{marcus_hughes_2023_8370994,
  author       = {Marcus Hughes and
                  Sam Van Kooten and
                  Tania Varesano and
                  Suman Chapai},
  title        = {punch-mission/regularizepsf: 0.2.2},
  month        = sep,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {0.2.2},
  doi          = {10.5281/zenodo.8370994},
  url          = {https://doi.org/10.5281/zenodo.8370994}
}