136 citations · 2.6k across the 92 of their papers we have counts for
13 papers · 1 filter
CosmoDRAGoN simulations -- I. Dynamics and observable signatures of radio jets in cosmological environments
Patrick M. Yates-Jones, Stanislav S. Shabala, Chris Power +4
We present the Cosmological Double Radio Active Galactic Nuclei (CosmoDRAGoN) project: a large suite of simulated AGN jets in cosmological environments. These environments sample t…
A Search for Missing Radio Sources at Using Lyman Dropouts
Devika Shobhana, Ray P. Norris, Miroslav D. Filipović +5
Using the Lyman Dropout technique, we identify 148 candidate radio sources at from the 887.5 MHz Australian Square Kilometer Array Pathfinder (ASKAP) observations…
Collimation of the kiloparsec-scale radio jets in NGC 2663
Velibor Velović, M. D. Filipović, L. Barnes +25
We present the discovery of highly-collimated radio jets spanning a total of 355 kpc around the nearby elliptical galaxy NGC 2663, and the possible first detection of recollimation…
RAiSE: simulation-based analytical model of AGN jets and lobes
Ross J. Turner, Patrick M. Yates-Jones, Stanislav S. Shabala +2
We present an analytical model for the evolution of extended active galactic nuclei (AGNs) throughout their full lifecycle, including the initial jet expansion, lobe formation, and…
Selecting and Modelling Remnant AGNs with Limited Spectral Coverage
B. Quici, R. J. Turner, N. Seymour +3
Quantifying the energetics and lifetimes of remnant radio-loud active galactic nuclei (AGNs) is much more challenging than for active sources due to the added complexity of accurat…
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley +4
In this work we examine the classification accuracy and robustness of a state-of-the-art semi-supervised learning (SSL) algorithm applied to the morphological classification of rad…