Radio Galaxy Zoo: machine learning for radio source host galaxy cross-identification
Radio Galaxy Zoo: machine learning for radio source host galaxy cross-identification
We consider the problem of determining the host galaxies of radio sources by cross-identification. This has traditionally been done manually, which will be intractable for wide-area radio surveys like the Evolutionary Map of the Universe. Automated cross-identification will be critical for these future surveys, and machine learning may provide the …