PyMF¶
PyMF is a pure-Python implementation of several spatial filtering image processing techniques, namely the matched filter, matched multifilter and the newly introduced constrained matched filter and constrained matched mutifilter. These techniques are designed for applications in astronomy and use the flat-sky approximation.
This documentation provides an overview on the installation process and the available functions that are part of PyMF. Practical examples are provided in two jupyter notebooks that can be found in the /examples directory.
PyMF is being actively developed on GitHub.
Acknowledgement¶
Please cite Erler, Ramos-Ceja, Basu & Bertoldi (2018) if you find this code useful in your research. The BibTeX entry for the paper is:
@ARTICLE{2018arXiv180906446E,
author = {{Erler}, J. and {Ramos-Ceja}, M.~E. and {Basu}, K. and {Bertoldi}, F.},
title = "{Introducing constrained matched filters for improved separation of point sources from galaxy clusters}",
journal = {ArXiv e-prints},
year = 2018,
eprint = {1809.06446}
}