Inferring Halo Mass and Scale Radius of Galaxy Clusters Using Convolutional Neural Networks and Uchuu-UniverseMachine Catalogs

Hirobumi Tominaga, Asuka Nakamura, Tomoaki Ishiyama +1

We investigate the ability of machine learning to infer the virial mass ($M_{\mathrm{vir}}$) and the scale radius ($r_{\mathrm{s}}$) of galaxy clusters from their observables. Using the Uchu…