4D deconvolution and demixing for supernova follow-up

Abstract : 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.
Type de document :
Communication dans un congrès
the First IEEE GRSS Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing - (WHISPERS'09), Aug 2009, Grenoble, France. pp.0-0, 2009
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https://hal.archives-ouvertes.fr/hal-00436646
Contributeur : Ferréol Soulez <>
Soumis le : lundi 4 janvier 2010 - 16:28:08
Dernière modification le : jeudi 21 mars 2019 - 13:08:17
Document(s) archivé(s) le : mercredi 30 novembre 2016 - 10:06:37

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ddt-paper-b-whispers.pdf
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  • HAL Id : hal-00436646, version 2

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Sébastien Bongard, Éric Thiébaut, Ferréol Soulez, Emmanuel Pecontal. 4D deconvolution and demixing for supernova follow-up. the First IEEE GRSS Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing - (WHISPERS'09), Aug 2009, Grenoble, France. pp.0-0, 2009. 〈hal-00436646v2〉

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