Issue |
EAS Publications Series
Volume 78-79, 2016
Mathematical Tools for Instrumentation & Signal Processing in Astronomy
|
|
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Page(s) | 275 - 285 | |
Section | Application: Tools in Action | |
DOI | https://doi.org/10.1051/eas/1678013 | |
Published online | 02 September 2016 |
D. Mary, R. Flamary, C. Theys and C. Aime (eds)
EAS Publications Series, 78–79 (2016) 275-285
PSF homogenization for multi-band photometry from space on extended objects
1 Institut d'Astrophysique Spatiale, CNRS, UMR 8617, Université Paris-Sud, Université Paris-Saclay, IAS, Bât. 121, 91405 Orsay, France
2 Sorbonne Universités, UPMC Université Paris 6 et CNRS, UMR 7095, Institut d'Astrophysique de Paris, 98 bis Bd. Arago, 75014 Paris, France
3 GIPSA-LAB, 11 rue des Mathématiques, 38402 Saint-Martin-d'Hères, France
4 Laboratoire des Signaux et Systèmes, Université Paris-Sud, CNRS, Centrale Supélec, Université Paris-Saclay, 91192 Gif-sur-Yvette, France
e-mail: alexandre.boucaud@ias.u-psud.fr
We present a fast and robust tool to create PSF matching kernels for multi-band photometric studies. Such kernels are useful for convolving images down to the same PSF prior to computing flux measurements like aperture photometry or spectral fitting. Unlike similar existing methods, we use a Wiener filter to take into account the real shape of the effective PSF, usually very complex for space telescopes. We apply this scheme to Euclid simulated PSF images to demonstrate the efficiency of the algorithm. This tool is publicly available at http://www.github.io/aboucaud/pypher.
© EAS, EDP Sciences, 2016