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
Recent News
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Postdoctoral internship in Nice
2017-04-22
Postdoctoral internship in Nice on machine learning and big-data for SKA....
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PhD internship in Nice
2017-03-22
PhD internship in Nice: Distributed image reconstruction for future SKA. Informations at Doctoral...
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Peyresq summer school
2016-08-21
André Ferrari will give a course at Peyresq signal...
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SKA France signal processing workshop
2016-08-21
MAGELLAN will be at the signal processing workshop organized by SKA...
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Postdoctoral internship in Nice
2016-07-21
See...
