Unifying Galactic and Extragalactic Views of Star Formation - Spectroscopic Studies & Data Science.
20-24 avr. 2026
Institut d'Astrophysique de Paris - Paris (France)
Star formation is a fundamental process that drives the evolution of galaxies through cosmic time. While the last decade has seen major advances in our understanding of star formation on the scale of galaxies and within individual molecular clouds, a key outstanding challenge is to unify the Milky Way and extragalactic results. For instance, the DAOISM project (https://www.iram.fr/~pety/ORION-B/) aimed at establishing a synergy between Galactic and Extragalactic studies of the relationships between molecular cloud structure and star formation.
The wide-field, multi-line position-position-velocity data cubes provided by current and future astronomical observatories encode a tremendous amount of information (kinematics, physics, chemistry, etc.) about the molecular interstellar medium. In order to decode this information reliably, it is necessary to use cutting-edge knowledge in both astrophysics and data analysis. The astronomical challenges for data science are related to the absence of ground truth, the variable signal-to-noise ratio of data, and the control of biases in data and models. To solve these problems, accurate and rapid methods based, for example, on Bayesian inference, machine learning, etc., must be developed or adapted to the specificities of astronomy.
We invite the community to participate in a five-day workshop (from noon on April 20 to noon on April 24) in Paris. To promote fruitful discussions, we propose to bring together astronomers and data specialists. In astronomy, the focus will be on challenges related to star formation and astrochemistry, from the Milky Way to galaxies. We will divide the time equally between invited presentations and contributions.
Discipline scientifique :
Lieu de la conférence