FR-type radio sources at 3 GHz VLA-COSMOS: Relation to physical properties and large-scale environment
E. Vardoulaki, E. F. Jim\'enez Andrade, I. Delvecchio, V., Smol\v{c}i\'c, E. Schinnerer, M. T. Sargent, G. Gozaliasl, A. Finoguenov, M., Bondi, G. Zamorani, T. Badescu, S. K. Leslie, L. Ceraj, K. Tisani\'c, A., Karim, B. Magnelli, F. Bertoldi, E. Romano-Diaz, K. Harrington

TL;DR
This study investigates the physical properties and environments of faint FR-type radio AGN at 3 GHz, revealing their host characteristics, large-scale distribution, and relation to galaxy evolution using deep VLA-COSMOS data.
Contribution
It provides the first detailed analysis of faint FR radio sources at 3 GHz, linking their radio structures to host properties and large-scale environments.
Findings
FRs are mostly in massive, quenched hosts.
FRs and COM AGN are found across all environments.
Radio-mode AGN may contribute to galaxy quenching.
Abstract
() We probe the physical properties and large-scale environment of radio AGN in the faintest FR population to-date, and link them to their radio structure. We use the VLA-COSMOS Large Project at 3 GHz, with resolution and sensitivity of 0".75 and 2.3 Jy/beam, respectively, to explore the FR dichotomy down to Jy levels. We classify objects as FRIs, FRIIs or hybrid FRI/FRII based on the surface-brightness distribution along their radio structure. Our control sample is the jet-less/compact radio AGN (COM AGN) which show excess radio emission at 3 GHz VLA-COSMOS exceeding what is coming from star-formation alone; this sample excludes FRs. Largest angular projected sizes of FR objects are measured by a machine-learning algorithm and also by hand, following a parametric approach to the FR classification. Eddington ratios are calculated using scaling relations from the…
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.
