AI RESEARCH
RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
arXiv CS.LG
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ArXi:2510.22190v2 Announce Type: replace-cross Bent radio active galactic nuclei (RAGNs) -- wide-angle tails (WATs) and narrow-angle tails (NATs) -- trace dense environments in galaxy groups and clusters, yet no multiclass classifier simultaneously separates them from straight Fanaroff--Riley types (sFRI, sFRII) using visually inspected labels and unlabelled data.