most citedEvaluating the optical classification of Fermi BCUs using machine learning

41 citations · 41 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.HE2019★ 41 cited

Evaluating the optical classification of Fermi BCUs using machine learning

Shi-Ju Kang, Junhui Fan, Weiming Mao +3

In the third catalog of active galactic nuclei detected by the Fermi-LAT (3LAC) Clean Sample, there are 402 blazars candidates of uncertain type (BCU). Due to the limitations of as…