A Catalog of Giant Radio Source Candidates from TGSS ADR1 Using a Deep Learning--based Pipeline

Baoqiang Lao, Binghua Liang, Shaoguang Guo +4

We present a catalog of 5,595 giant radio source (GRS) candidates, defined by a largest (projected) linear size (LLS) exceeding 0.7 Mpc. Of these, 4,566 would be new discoveries if…