Wide-field imaging meets deep learning: new challenges, new opportunities
Emmanuel BERTIN (LCEG)
Mardi 05/03/2024, 10:00-11:00
Bat 713, salle de séminaires Galilée , CEA Saclay, Orme des Merisiers

Since the 19th century, wide-field imaging has significantly advanced numerous fields of Astrophysics, spanning from the study of solar system bodies to observational cosmology. Ongoing and future optical/near-infrared imaging surveys face many interesting data analysis challenges, especially in time domain astronomy, in a context where detector technology enable wide-field observations at increasingly high frame rates. Through concrete examples, I will show with how Deep Learning techniques offer promising solutions to address such challenges, and provide new scientific opportunities.

Contact local : Emmanuel BERTIN

Organisateur : Frédéric GALLIANO

Contact : Frederic GALLIANO



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