activity
19942023
most citedEMU: Evolutionary Map of the Universe

430 citations · 8.4k across the 187 of their papers we have counts for

collaborators

189 papers

astro-ph.HE2023

EMU Detection of a Large and Low Surface Brightness Galactic SNR G288.8-6.3

Miroslav D. Filipović, Shi Dai, Bojan Arbutina +36

We present the serendipitous detection of a new Galactic Supernova Remnant (SNR), G288.8-6.3 using data from the Australian Square Kilometre Array Pathfinder (ASKAP)-Evolutionary M…

astro-ph.IM2023

Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels

Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +7

The present work discusses the use of a weakly-supervised deep learning algorithm that reduces the cost of labelling pixel-level masks for complex radio galaxies with multiple comp…

astro-ph.IM2023

Measuring photometric redshifts for high-redshift radio source surveys

Kieran J. Luken, Ray P. Norris, X. Rosalind Wang +3

With the advent of deep, all-sky radio surveys, the need for ancillary data to make the most of the new, high-quality radio data from surveys like the Evolutionary Map of the Unive…

astro-ph.GA2023★ 8 cited

CO survey of high-z radio galaxies, revisited with ALMA: Jet-cloud Alignments and Synchrotron Brightening by Molecular Gas in the Circumgalactic Environment

Bjorn Emonts, Matthew Lehnert, Sophie Lebowitz +6

Powerful radio sources associated with super-massive black holes are among the most luminous objects in the Universe, and are frequently recognized both as cosmological probes and…

astro-ph.GA2023★ 21 cited

MeerKAT view of the Dancing Ghosts -- Peculiar Galaxy Pair PKS 2130-538 in Abell 3785

Velibor Velović, William D. Cotton, Miroslav D. Filipovi'c +3

We present MeerKAT L-band (886-1682 MHz) observations of the extended radio structure of the peculiar galaxy pair PKS 2130-538 known as the "Dancing Ghosts". The complex of bending…

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…