2 papers
astro-ph.IM2026
RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
M. S. Hossain, M. S. H. Shahal, K. M. B. Asad +10
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 clas…
astro-ph.GA2025
RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification
Mir Sazzat Hossain, Khan Muhammad Bin Asad, Payaswini Saikia +7
We introduce a novel machine learning dataset tailored for the classification of bent radio active galactic nuclei (AGN) in astronomical observations. Bent radio AGN, distinguished…