Sacl-AI 4 Science Workshop

Session

Astrophysics

astro

Jul 11, 2024, 2:00 PM

BÂTIMENT D’ENSEIGNEMENT MUTUALISÉ (BEM)

25. Some AI challenges in astrophysical imaging

Jerome Bobin

7/11/24, 2:00 PM

Talk (Long)

Inverse problems are ubiquitous in astrophysics, ranging from image reconstruction to unmixing or unsupervised com-
ponent separation, but they often share common challenges: i) how to deal with ill-posedness, which mandates the design of effective and physically relevant regularisation, ii) how to deal with the deluge of data coming from current and future experiments and iii) quantifying...

11. Galaxy detection with deep learning in radio-astronomical datasets

Dr David Cornu (Observatoire de Paris)

7/11/24, 2:45 PM

Invited talks

Talk (Long)

Large astronomical facilities generate an ever-increasing data volume, rapidly approaching the exascale, following the need for better resolution, better sensitivity, and larger wavelength coverage. Modern radio astronomy is strongly affected, especially regarding giant radio interferometers that produce large quantities of raw data. In particular, the forthcoming arrival of the SKA (Square...

21. Building new brains for Adaptive Optics on giant optical telescopes.

Damien Gratadour (Observatoire de Paris)

7/11/24, 4:00 PM

Invited talks

Talk (Long)

The field of experimental astronomy is entering an exciting new era, with the emergence of extremely large telescopes, hosts to primary mirrors the size of several basketball courts. Among the many challenges associated with the construction and operations of such giant scientific infrastructures, the complexity of embedded computing facilities is notably heavy. In particular, the real-time...