2 papers
astro-ph.IM2022
Estimating Galaxy Redshift in Radio-Selected Datasets using Machine Learning
Kieran J. Luken, Ray P. Norris, Laurence A. F. Park +2
All-sky radio surveys are set to revolutionise the field with new discoveries. However, the vast majority of the tens of millions of radio galaxies won't have the spectroscopic red…
astro-ph.IM2019
Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-Organising Maps
T. J. Galvin, M. Huynh, R. P. Norris +7
With the advent of large scale surveys the manual analysis and classification of individual radio source morphologies is rendered impossible as existing approaches do not scale. Th…