3 papers
astro-ph.IM2026
Category-based Galaxy Image Generation via Diffusion Models
Xingzhong Fan, Hongming Tang, Yue Zeng +2
Conventional galaxy generation methods rely on semi-analytical models and hydrodynamic simulations, which are highly dependent on physical assumptions and parameter tuning. In cont…
astro-ph.GA2025
Radio Galaxy Zoo EMU: Harnessing Citizen Science and AI to Advance Open Science Catalogues
Eleni Vardoulaki, Hongming Tang, Micah Bowles +10
Over the past decades, significant efforts have been devoted to developing sophisticated algorithms for automatically identifying and classifying radio sources in large surveys. Ho…
astro-ph.IM2025
Radio Galaxy Zoo: EMU -- paving the way for EMU cataloging using AI and citizen science
Hongming Tang, Eleni Vardoulaki, RGZ EMU collaboration
The Evolutionary Map of the Universe (EMU) survey with ASKAP is transforming our understanding of radio galaxies, AGN duty cycles, and cosmic structure. EMUCAT efficiently identifi…