The MURALES survey. VI. Properties and origin of the extended line emission structures in radio galaxies
Barbara Balmaverde (1) Alessandro Capetti (1) R.D. Baldi (2) S. Baum, (3) M. Chiaberge (4,5) R. Gilli (6) Ana Jimenez-Gallardo (7,1,8,9) Alessandro, Marconi (10,11) Francesco Massaro (7,1,9) E. Meyer (12) C. O'Dea (3) G., Speranza (13,14) E. Torresi (6) Giacomo Venturi (15

TL;DR
This study uses deep optical integral field spectroscopy to analyze the properties and origins of extended emission line regions in radio galaxies, revealing their morphology, kinematics, and potential formation mechanisms.
Contribution
It provides detailed observations of EELRs in radio galaxies, highlighting their large-scale structures, orientations, and possible formation through gas-rich mergers and stable accretion.
Findings
Large-scale ionized gas extends up to 80 kpc in FRIIs.
EELRs often form elongated or filamentary structures.
Alignment and kinematics suggest formation via gaseous superdisks from mergers.
Abstract
This is the sixth paper presenting the results of the MUse RAdio Loud Emission line Snapshot survey (MURALES). We observed 37 radio sources from the 3C sample with z<0.3 and declination <20 degrees with the MUSE optical integral field spectrograph at the VLT. We here focus on the properties of the extended emission line regions (EELRs) that can be studied with unprecedented detail thanks to the depth of these observations. Line emission in the 10 FRIs is, in most cases, confined to within <4 kpc, while large-scale (>4 kpc) ionized gas is seen in all but two of the 26 FRIIs. It usually takes the form of elongated or filamentary structures, typically extending between 10 and 30 kpc, but also reaching distances of ~80 kpc. We find that 1) the large-scale ionized gas structures show a tendency to be oriented at large angles from the radio axis, and 2) the gas on a scale of a few kpc from…
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.
