activity
20042025
most citedAGN Jet Kinetic Power and the Energy Budget of Radio Galaxy Lobes

136 citations · 2.6k across the 92 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

astro-ph.HE2023★ 1 cited

Faraday rotation as a probe of radio galaxy environment in RMHD AGN jet simulations

Larissa A. Jerrim, Stanislav S. Shabala, Patrick M. Yates-Jones +6

Active galactic nuclei (AGN) play an integral role in galaxy formation and evolution by influencing galaxies and their environments through radio jet feedback. Historically, interp…

astro-ph.CO2023★ 6 cited

Central radio galaxies in galaxy clusters: Joint surveys by eROSITA and ASKAP

K. Böckmann, M. Brüggen, B. Koribalski +18

The extended ROentgen Survey with an Imaging Telescope Array (eROSITA) telescope onboard the Spectrum-Roentgen-Gamma (SRG) mission has finished the first eROSITA All-Sky Survey (eR…

astro-ph.GA2023

Dynamics of powerful radio galaxies

Ross J. Turner, Stanislav S. Shabala

Analytical models describing the dynamics of lobed radio sources are essential for interpretation of the tens of millions of radio sources that will be observed by the Square Kilom…

astro-ph.GA2023★ 27 cited

Cosmic evolution of radio-AGN feedback: confronting models with data

R. Kondapally, P. N. Best, M. Raouf +11

Radio-mode feedback is a key ingredient in galaxy formation and evolution models, required to reproduce the observed properties of massive galaxies in the local Universe. We study…

astro-ph.IM2023★ 2 cited

Radio Galaxy Zoo: Towards building the first multi-purpose foundation model for radio astronomy with self-supervised learning

Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley +4

In this work, we apply self-supervised learning with instance differentiation to learn a robust, multi-purpose representation for image analysis of resolved extragalactic continuum…

astro-ph.GA2023★ 11 cited

Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy

Micah Bowles, Hongming Tang, Eleni Vardoulaki +20

We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We…