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Project MAGELLAN

Machine learning methods for the very large arrays in radio astronomy. MAGELLAN is a research project that aims to develop algorithms for solving inverse problems of very large size. The objective is the reconstruction of “spatio-spectral” images by very large networks of antennas in radio astronomy. MAGELLAN (ANR-14-CE23-0004-01) is funded by l'Agence Nationale de la Recherche. MAGELLAN participe à l'atelier traitement du signal. Organisé par SKA France. In Budapest, Hungary, 29 Augst-2 September 2016.

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Machine learning methods for the very large arrays in radio astronomy. MAGELLAN is a research project that aims to develop algorithms for solving inverse problems of very large size. The objective is the reconstruction of “spatio-spectral” images by very large networks of antennas in radio astronomy. MAGELLAN (ANR-14-CE23-0004-01) is funded by l'Agence Nationale de la Recherche. MAGELLAN participe à l'atelier traitement du signal. Organisé par SKA France. In Budapest, Hungary, 29 Augst-2 September 2016.
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Project MAGELLAN | magellan.oca.eu Reviews

https://magellan.oca.eu

Machine learning methods for the very large arrays in radio astronomy. MAGELLAN is a research project that aims to develop algorithms for solving inverse problems of very large size. The objective is the reconstruction of “spatio-spectral” images by very large networks of antennas in radio astronomy. MAGELLAN (ANR-14-CE23-0004-01) is funded by l'Agence Nationale de la Recherche. MAGELLAN participe à l'atelier traitement du signal. Organisé par SKA France. In Budapest, Hungary, 29 Augst-2 September 2016.

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1

Objectifs du projet MAGELLAN

https://magellan.oca.eu/magellan/objectifs.html

Objectifs du projet MAGELLAN.

2

Membres du projet MAGELLAN

https://magellan.oca.eu/magellan/membres.html

Membres du projet MAGELLAN. Observatoire de la Côte d'Azur, Lab. J.-L. Lagrange. Télécom ParisTech, LTCI. ENS Cachan, SATIE.

3

Publications

https://magellan.oca.eu/magellan/pub.html

Http:/ arxiv.org/abs/1603.00263. Http:/ arxiv.org/abs/1603.01070. Http:/ arxiv.org/abs/1602.06885. Http:/ arxiv.org/abs/1609.02448. Http:/ arxiv.org/abs/1612.02023. Http:/ arxiv.org/abs/1602.08847. Http:/ arxiv.org/abs/1504.06847.

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Project MAGELLAN

https://magellan.oca.eu/magellan/index.html

Machine learning methods for the very large arrays in radio astronomy. MAGELLAN is a research project that aims to develop algorithms for solving inverse problems of very large size. The objective is the reconstruction of “spatio-spectral” images by very large networks of antennas in radio astronomy. MAGELLAN (ANR-14-CE23-0004-01) is funded by l'Agence Nationale de la Recherche. MAGELLAN participe à l'atelier traitement du signal. Organisé par SKA France. In Budapest, Hungary, 29 Augst-2 September 2016.

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Rémi Flamary / Projects

http://remi.flamary.com/projects.html

Phone: 33 (0)4 92 07 63 80. Laboratoire Lagrange, UMR 7293 Observatoire de la Côte d'Azur Université de Nice Sophia-Antipolis Parc Valrose 06108 Nice cedex 2. Here you can find a list of the research projects I participate in. Méthodes d'apprentissage pour les très grands réseaux d'antennes en radioastronomie. CNRS Peps FASCIDO 2015 TOPASE. Optimal Transport and statistical learning. Mathemathics for signal and image processing in astronomy. Analyse d’iMages de télédétection à grande dimension tempORelle.

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Project MAGELLAN

Machine learning methods for the very large arrays in radio astronomy. MAGELLAN is a research project that aims to develop algorithms for solving inverse problems of very large size. The objective is the reconstruction of “spatio-spectral” images by very large networks of antennas in radio astronomy. MAGELLAN (ANR-14-CE23-0004-01) is funded by l'Agence Nationale de la Recherche. MAGELLAN participe à l'atelier traitement du signal. Organisé par SKA France. In Budapest, Hungary, 29 Augst-2 September 2016.

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