LERMA UMR8112

Laboratoire d’Études du Rayonnement et de la Matière en Astrophysique et Atmosphères



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Soutenance de thèse de Binh PHAM

par Valerie Audon - publié le

J’ai le plaisir de vous inviter à ma soutenance de thèse, "Satellite remote sensing of the variability of the continental hydrology cycle in the lower Mekong basin over the last two decades",

qui se déroulera le Mardi 06 Février 2018 à 14:00 dans la salle Danjon, Observatoire de Paris et au pot qui suivra.

Cette thèse est co-encadrée par Catherine Prigent et Filipe Aires.

Binh PHAM

Séminaires à venir

Vendredi 2 mars 2018, 14h00
Salle de l'atelier, Paris
Machine Learning in Astronomy
Ofer LAHAV
University College London
résumé :
Astrophysics, High Energy Physics and other Physical sciences are undergoing an ‘industrial revolution’ with huge data sets and complex models to describe them. For example, galaxy surveys (e.g. DES, DESI, LSST, Euclid, SKA) will catalog billions of galaxies over the coming decade. Similarly, Particle Physics experiments, e.g. at CERN, generate gigantic data sets. Such data sets call for entirely new approaches for data analysis. Fortunately, powerful ‘Machine Learning’ methods have been invented by statisticians and computer scientists and they are widely applied across science, technology and medicine.
The talk will illustrate examples such as classification of galaxies and supernovae, estimating galaxy redshifts and other properties from their colours, and deriving the mass of the Local Group.
We shall also discuss programmes for training of the next generation of data scientists in connection with industry partners, e.g. UCL’s Centre for Doctoral Training In Data Intensive Science http://www.hep.ucl.ac.uk/cdt-dis/
 
Vendredi 23 mars 2018, 14h00
Salle de l'atelier, Paris
TBA
Charlène Lefèvre
Iram
 
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