3 papers
astro-ph.GA2026
A Guided Unconditional Diffusion Model to Synthesize and Inpaint Radio Galaxies from FIRST, MGCLS and Radio Zoo
Rémi Poitevineau, Emma Tolley, Verlon Etsebeth
We present a masked-guided approach for a denoising diffusion probabilistic model (DDPM) trained to generate and inpaint realistic radio galaxy images. The inpainting capability is…
astro-ph.IM2026
Radio-Interferometric Image Reconstruction with Denoising Diffusion Restoration Models
Michel Morales, Emma Tolley, Remi Poitevineau
Reconstructing images of the radio sky from incomplete Fourier information is a key challenge in radio astronomy. In this work, we present a method for radio interferometric image…
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…