The radio dichotomy of active galactic nuclei
Hubing Xiao, Jingtian Zhu, Liping Fu, Shaohua Zhang, Junhui Fan

TL;DR
This paper investigates the longstanding radio dichotomy in active galactic nuclei (AGNs), proposing a combined radio luminosity and loudness criterion for classification and exploring the origin of radio emissions.
Contribution
It introduces a double-criterion method using radio luminosity and loudness to classify AGNs, and suggests a shared origin of radio emissions in both radio-loud and radio-quiet AGNs.
Findings
Identifies a clear separation at log R = 1.37 between RL and RQ AGNs.
Proposes a new dividing line using a machine learning approach.
Suggests radio emissions in RL and RQ AGNs share the same origin.
Abstract
The question of radio dichotomy in the active galactic nuclei (AGNs) is still in debate even it has been proposed for more than forty years. In order to solve the old riddle, we collect a sample of AGNs with optical band and radio 6cm wavelength data to analyze the radio loudness . Our results indicate a separation of between radio-loud (RL) AGNs and radio-quiet (RQ) AGNs, suggest the existence of an RL/RQ dichotomy. For the first time, we suggest combining radio luminosity and radio loudness as a double-criterion to divide AGNs into RLs and RQs to avoid misclassification problems that may happen in the single-criterion scenario, we propose the double-criterion dividing line by using a machine learning method. In addition, the key point of the RL/RQ dichotomy is the origin of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
