The lab regularly hosts symposia and workshops that focus on particular subjects
which are chosen amongst the different fields and projects of the lab.
These meetings last several days and are intended for professionals only.
Les journées du Programme National des Hautes Énergies (PNHE) permettent de faire un état des lieux des thématiques des hautes énergies en France, en particulier dans la perspective de la prospective à venir fin 2024.
After the highly successful 2021 IAP symposium on this subject, an avalanche of new data and an ever-growing use of machine learning techniques in astronomical surveys clearly mandated a follow-up. The aim of the meeting is to cast a critical eye on the application of the highly needed new data-analysis machine-learning techniques (often developed outside of astronomy) for next-generation astronomical surveys, including field-level inference, likelihood free approaches, generative models. This meeting is planned as a forum for discussions on problems and solutions, including the emerging class of problems in astronomy that mandate an evolution of the data analysis techniques. The meeting follows the same format as previously: a series of invited summary talks, short and very lively contributed talks, posters and debates. For a large audience while limiting the carbon impact, the meeting is organised in two locations simultaneously, at the IAP in Paris and the Flatiron Institute in New York, with speakers and audiences at both sites. A professional production company will provide high-resolution live streaming video.
Cette demi-journée se déroule sur le thème des ondes gravitationnelles et des trous noirs en astrophysique. Seront abordées : l’astronomie gravitationnelle, les ondes gravitationnelles et les trous noirs stellaires dans LIGO-Virgo-KAGRA, les ondes gravitationnelles de basses fréquences avec LISA, l’evolution des trous noirs massifs à travers le temps cosmique, les trous noir stellaires ou supermassifs avec GRAVITY/GRAVITY+.
Cette matinée de cours sur l’intelligence artificielle est dispensée par deux experts du CNES, Orphée Faucoz et Denis Standarovski, avec pour but de présenter les différentes méthodes d’apprentissage profond (ou deep learning).