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Point spread function modeling and regularization

Project description

regularizepsf

codecov DOI PyPI version

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. Example result image

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 marcus.hughes@swri.org.

Citation

Please cite the associated paper if you use this technique:

@misc{https://doi.org/10.48550/arxiv.2212.02594,
  doi = {10.48550/ARXIV.2212.02594},
  
  url = {https://arxiv.org/abs/2212.02594},
  
  author = {Hughes, J. M. and DeForest, C. E. and Seaton, D. B.},
  
  keywords = {Instrumentation and Methods for Astrophysics (astro-ph.IM), FOS: Physical sciences, FOS: Physical sciences},
  
  title = {Coma Off It: Removing Variable Point Spread Functions from Astronomical Images},
  
  publisher = {arXiv},
  
  year = {2022},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

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