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astro-ph.GA2024
The Galaxy Activity, Torus, and Outflow Survey (GATOS). Black hole mass estimation using machine learning
R. Poitevineau, F. Combes, S. Garcia-Burillo +23
The detailed feeding and feedback mechanisms of Active Galactic Nuclei (AGN) are not yet well known. For low-luminosity and obscured AGN, as well as late-type galaxies, determining…
astro-ph.IM2024
YOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1
D. Cornu, P. Salomé, B. Semelin +8
The upcoming Square Kilometer Array (SKA) will set a new standard regarding data volume generated by an astronomical instrument, which is likely to challenge widely adopted data-an…