LOFAR reveals the giant: a low-frequency radio continuum study of the outflow in the nearby FR I radio galaxy 3C 31
V. Heesen, J. H. Croston, R. Morganti, M. J. Hardcastle, A. J., Stewart, P. N. Best, J. W. Broderick, M. Br\"uggen, G. Brunetti, K. T., Chy\.zy, J. J. Harwood, M. Haverkorn, K. M. Hess, H. T. Intema, M. Jamrozy,, M. Kunert-Bajraszewska, J. P. McKean, E. Orr\'u

TL;DR
This study uses multi-frequency radio observations to reveal that the nearby FR I radio galaxy 3C 31 is a giant radio galaxy, analyzing its cosmic-ray transport, magnetic fields, and dynamics to understand its large size and evolution.
Contribution
The paper presents the first detailed low-frequency radio continuum analysis of 3C 31, modeling cosmic-ray transport and magnetic fields to explain its giant size and dynamical state.
Findings
3C 31 is classified as a giant radio galaxy with a size of 1.1 Mpc.
Decelerating flows with v∝r^−1 are needed to explain cosmic-ray transport without in-situ acceleration.
The magnetic field provides about one-third of the pressure for equilibrium with the ICM.
Abstract
We present a deep, low-frequency radio continuum study of the nearby Fanaroff--Riley class I (FR I) radio galaxy 3C 31 using a combination of LOw Frequency ARray (LOFAR; 30--85 and 115--178 MHz), Very Large Array (VLA; 290--420 MHz), Westerbork Synthesis Radio Telescope (WSRT; 609 MHz) and Giant Metre Radio Telescope (GMRT; 615 MHz) observations. Our new LOFAR 145-MHz map shows that 3C 31 has a largest physical size of Mpc in projection, which means 3C 31 now falls in the class of giant radio galaxies. We model the radio continuum intensities with advective cosmic-ray transport, evolving the cosmic-ray electron population and magnetic field strength in the tails as functions of distance to the nucleus. We find that if there is no in-situ particle acceleration in the tails, then decelerating flows are required that depend on radius as ().…
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.
