Webinaire ASNum Jérémy Blaizot (CRAL) & Joakim Rosdahl (CRAL) Astrophysics from star formation to cosmology scales with RAMSES across the globe Voir le replay : https://astrotube.obspm.fr/w/mSLVsFyJtNpsXrqA1sFgEt RAMSES is a publicly available adaptive mesh refinement code used for a multitude of astrophysics problems over the last two decades by a growing community across the globe,…
Lire la suite
Webinaire ASNum Geoffroy Lesur (IPAG) IDEFIX Idefix is a Godunov MHD finite volume code designed to run on accelerated supercomputers using the C++ Kokkos framework. In this webinar, I will discuss our motivations for creating a new code (in contrast to porting an existing one) and the path we followed. As the code is now…
Lire la suite
Webinaire ASNum Emmanuel Bertin (CEA) New prospects on Wide-Field imaging with Deep Learning Voir le Replay : https://astrotube.obspm.fr/w/hhAktLriqnVtHj7vCm85Qy 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. Further advances in detector technology and processing power now enable the exploration of…
Lire la suite
Webinaire ASNum Paulo Alves UCLA Distilling reduced plasma physics models from the data of first-principles kinetic simulations Voir le Replay : https://astrotube.obspm.fr/w/rDjYRkQCuCkLaKzxXxnmEN At the core of some of the most important problems in plasma physics—from controlled nuclear fusion to the acceleration of cosmic rays—is the challenge to describe nonlinear, multiscale plasma dynamics. The development of…
Lire la suite
Webinaire ASNUM The environmental costs of computing Anne-Laure Ligozat Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) Voir le Replay : https://astrotube.obspm.fr/w/5zUQJtnegayqoyd7hYf9mD The use of digital services and equipment keeps increasing in all domains, and in particular in scientific computing. These digital applications have environmental costs, that have begun to be taken into account. But assessing…
Lire la suite
Webinaire ASNUM Wassim Tenachi Automatically discovering analytical physical laws using deep reinforcement learning Voir le REPLAY : https://astrotube.obspm.fr/w/7fiKWF45p3fmzQsK8gkFnC Observatoire de Strasbourg Symbolic Regression is the study of algorithms that automate the search for analytic expressions that fit data. Using such approaches one can derive interpretable, intelligible, compact and inexpensive analytical models that tend to present…
Lire la suite
