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the First IEEE GRSS Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing - (WHISPERS'09), Grenoble : France (2009)
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4D deconvolution and demixing for supernova follow-up
Sébastien Bongard1, Eric Thiébaut2, Ferréol Soulez2, 3, Emmanuel Pecontal2
(26/08/2009)

We present an inverse problem approach to jointly solve a problem of deconvolution and demixing of sources from 4D (x, y, λ, t) astronomical data obtained by observing a super- nova and its host galaxy at different epochs. In order to obtain supernova spectra of high photometric quality, we take special care of avoiding demixing biases and deconvolution artifacts caused by the very limited size of the field of view. We assert the performances of our method on realistic simulated data.
1 :  LPNHE - Laboratoire de Physique Nucléaire et de Hautes Énergies
2 :  CRAL - Centre de Recherche Astrophysique de Lyon
3 :  CNDRI - Controle Non Destructif par Rayonnements Ionisants
Sciences de l'ingénieur/Traitement du signal et de l'image

Informatique/Traitement du signal et de l'image
Supernova survey – inverse problem – demixing – deconvolution
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