Webinaire ASNUM Adeline Paiement Université de Toulon Domain-informed analysis of (astro)physics data Replay : https://astrotube.obspm.fr/w/csDA8KVJTmZ8NA8a7Eh7rM Machine learning and deep learning methods are increasingly popular for analysing physics and astrophysics data. However, their use often faces some specific challenges, such as the low availability of annotated ground-truth data, or the interpretability of (learning) models and of…
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Webinaire ASNUM Alain Miniussi et Elena Lega Observatoire de la Côte d'Azur Planet-disk interactions with the fargOCA code: transitioning from CPUs to Hybrid Architectures with Kokkos Voir le Replay : https://astrotube.obspm.fr/w/hK44dwS5M5qcJPRZSxXHie Accès aux tutoriels :https://gitlab.oca.eu/DISC/presentations/fargoca/asnum-20241209-kokkos The original version of the FARGO code (Fast Advection in Rotating Gaseous Objects) was written in C in 2000…
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Webinaire ASNUM Building new brains for giant astronomical telescopes with Deep Neural Networks Damien Gratadour Observatoire de Paris Voir le Replay : https://astrotube.obspm.fr/w/2S6koiJ8Zr2SRhdNn5uQWb The field of experimental astronomy is entering an exciting new era, with the emergence of extremely large telescopes, hosts to primary mirrors the size of several basketball courts. Among the many challenges…
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