<p>SVOM (Space-based multiband Variable Object Monitor) is a Chinese-French space mission mainly designed to study Gamma-Ray Bursts. The satellite has four instruments to detect and localize the prompt GRB emission and measure the evolution of the afterglow in the visible band and in soft X-rays, and a VHF communication system enabling the fast transmission of SVOM alerts to the ground. The ground...</p>
<p>The inner structures of active galactic nuclei (AGNs) are essential for probing the fundamental parameters of the central supermassive black hole (BH), understanding accretion physics, and investigating the physical connection between the BH and its host galaxy. The reverberation mapping (RM) technique has been widely used to study the broad-line region (BLR), the dust torus, and the accretion ...</p>
<p>In this area of rapid development of AI, astronomers' work is also evolving. What should we focus in training our students and our computers? In this talk I will present some of my thoughts on the subject and hope the audience will share in the discussion.BIOCharling Tao is an Emerita Director of Research in CNRS CPPM (Centre de Physique de Particules de Marseille) where she co-created the cosm...</p>
<p>As the only large spiral galaxy in which we can study a significant fraction of the individual stars, the Milky Way offers astronomers a unique laboratory to study the processes that shape galaxies. As much of our fundamental understanding of astrophysics is anchored in the Milky Way, study of our Galaxy is critical to broad areas of astrophysics, including extragalactic astronomy. Ongoing surv...</p>
<p>Extracting information from stochastic fields is a ubiquitous task in science. However, from cosmology to biology, it tends to be done either through correlation analyses, which is often too limited to capture the full complexity, or through the use of neural nets, which require large training sets and lack interpretability. I will present a new approach that borrows ideas from both extremes ...</p>
<p>The field of asteroseismology has grown explosively in the past two decades. It has evolved from bespoke examination of individual variable stars, to now having become both our main means of constraining stellar properties at large scale, and our sole observational probe into the astrophysics of their interiors. I will lay out recent developments of its observational methods and discoveries, pa...</p>
<p>Jupiter's radio emissions have been intensively studied since their discovery some 70 years ago. Space missions have extended these studies to radio emissions from all planetary magnetospheres in the solar system. Main emission characteristics have been determined (source location, directivity, power, polarization, etc.) and their microscopic generation process elucidated (primarily the electro...</p>
<p>The Standard Model of particle physics assumes that fundamental physical constants, including the fine-structure constant alpha, are universal and constant. On the other hand, modern theories beyond the Standard Model predict or even require the variation of the fundamental constants. Recently, we developed a new method to probe the variation in alpha using narrow and strong [O III] emitting ga...</p>
<p>As datasets continue to grow, machine learning/artificial intelligence (ML/AI) has taken on an increasingly large role in scientific analyses as both a practical necessity (to handle the data volumes) but also as a way to "bypass" theoretical models by learning directly from the data. However, this speed, complexity, and flexibility also have proved to be one of the main challenges involved in ...</p>
<p>Galaxy groups and clusters are the least massive systems where the bulk of baryons are accounted for and also the most massive systems that are gravitationally bound. They contain a wealth of galaxies sampling the broad spectra of galaxy properties, including the most massive galaxies (and probably the most massive supermassive black holes) and galaxies with the highest velocities in the univer...</p>