Multiwavelength Properties of Infrared-Faint Radio Sources Based on Spectral Energy Distribution Analysis
Yihang Zhang, Lulu Fan, Tao An, Jun Yang, Weibin Sun, Haoran Yu,, Yunkun Han

TL;DR
This study models the spectral energy distributions of infrared-faint radio sources to understand their dust, star formation, and AGN activity, revealing they are likely AGN-dominated low-luminosity counterparts of high-redshift radio galaxies.
Contribution
It provides the first detailed SED analysis of IFRSs, demonstrating their AGN dominance and comparing multi-component models to reveal their nature.
Findings
IFRSs are most likely AGN with significant dust heated by AGN.
The median SED resembles an AGN-starburst composite.
IR luminosities suggest IFRSs are low-luminosity high-redshift radio galaxy counterparts.
Abstract
Infrared-faint radio sources (IFRSs) are believed to be a rare class of radio-loud active galactic nuclei (RL AGN) characterized by their high radio-to-infrared flux density ratios of up to several thousands. Previous studies have shown that a fraction of IFRSs are likely to be hosted in dust-obscured galaxies (DOGs). In this paper, our aim was to probe the dust properties, star formation rate (SFR), and AGN activity of IFRSs by modeling the UV-to-infrared spectral energy distribution (SED) of 20 IFRSs with spectroscopic redshifts ranging from 1.2 to 3.7. We compare the Bayesian evidence of a three-component model (stellar, AGN and cold dust) with that of a two-component model (stellar and cold dust) for six IFRSs in our sample with far-infrared (FIR) photometry and find that the three-component model has significantly higher Bayesian evidence, suggesting that IFRSs are most likely to…
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Taxonomy
TopicsAntenna Design and Optimization · Optical Systems and Laser Technology · Radio Wave Propagation Studies
