Research
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2025.01.10
Milky Way Structure and Dynamics
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...
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2025.01.09
How to quantify textures and random fields in astrophysics?
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 ...
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2025.01.06
The Coming Asteroseismic Revolution
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...
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2024.12.19
Magnetospheric Radio Emissions: from Jupiter to exoplanets and stars [EN]
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...
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2024.12.12
Trust me, I am an Astrophysics Foundation Model [EN]
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 ...
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