Defying jet-gas alignment in two radio galaxies at z~2 with extended light profiles: Similarities to brightest cluster galaxies
C. Collet, N. P. H. Nesvadba, C. De Breuck, M. D. Lehnert, P. Best, J., J. Bryant, D. Dicken, H. Johnston, R. Hunstead, D. Wylezalek

TL;DR
This study discovers extended warm ionized gas in two high-redshift radio galaxies that is not aligned with their jets, resembling brightest cluster galaxies more than typical radio galaxies, suggesting different evolutionary states and feedback mechanisms.
Contribution
It presents the first detailed analysis of two high-z radio galaxies with non-jet-aligned extended gas, challenging the common alignment effect and linking their properties to brightest cluster galaxies.
Findings
Extended gas not aligned with jets in two galaxies.
Gas properties resemble brightest cluster galaxies.
One galaxy associated with galaxy overdensity.
Abstract
We report the detection of extended warm ionized gas in two powerful high-redshift radio galaxies, NVSS J210626-314003 at z=2.10 and TXS 2353-003 at z=1.49, that does not appear to be associated with the radio jets. This is contrary to what would be expected from the alignment effect, a characteristic feature of distant, powerful radio galaxies at z> 0.6. The gas also has smaller velocity gradients and line widths than most other high-z radio galaxies with similar data. Both galaxies are part of a systematic study of 50 high-redshift radio galaxies with SINFONI, and are the only two that are characterized by the presence of high surface-brightness gas not associated with the jet axis and by the absence of such gas aligned with the jet. Both galaxies are spatially resolved with ISAAC broadband imaging covering the rest-frame R band, and have extended wings that cannot be attributed to…
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.
