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[ascl:1609.022] PyPHER: Python-based PSF Homogenization kERnels

PyPHER (Python-based PSF Homogenization kERnels) computes an homogenization kernel between two PSFs; the code is well-suited for PSF matching applications in both an astronomical or microscopy context. It can warp (rotation + resampling) the PSF images (if necessary), filter images in Fourier space using a regularized Wiener filter, and produce a homogenization kernel. PyPHER requires the pixel scale information to be present in the FITS files, which can if necessary be added by using the provided ADDPIXSCL method.

Code site:
https://github.com/aboucaud/pypher https://pypher.readthedocs.io/en/latest/
Used in:
http://adsabs.harvard.edu/abs/2016arXiv160902006B
Bibcode:
2016ascl.soft09022B

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ascl:1609.022
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