5 citations · 12 across the 3 of their papers we have counts for
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2 papers · 1 filter
astro-ph.GA2021★ 3 cited
A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics
James M. Dawson, Timothy A. Davis, Edward L. Gomez +1
In the upcoming decades large facilities, such as the SKA, will provide resolved observations of the kinematics of millions of galaxies. In order to assist in the timely exploitati…
astro-ph.GA2019★ 4 cited
Using machine learning to study the kinematics of cold gas in galaxies
James M. Dawson, Timothy A. Davis, Edward L. Gomez +3
Next generation interferometers, such as the Square Kilometre Array, are set to obtain vast quantities of information about the kinematics of cold gas in galaxies. Given the volume…