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Galaxy classification: A machine learning analysis of GAMA catalogue data
Aleke Nolte, Lingyu Wang, Maciej Bilicki +2
We present a machine learning analysis of five labelled galaxy catalogues from the Galaxy And Mass Assembly (GAMA): The SersicCatVIKING and SersicCatUKIDSS catalogues containing mo…
The case for a 'sub-millimeter SDSS': a 3D map of galaxy evolution to z~10
James E. Geach, Manda Banerji, Frank Bertoldi +53
The Sloan Digital Sky Survey (SDSS) was revolutionary because of the extraordinary breadth and ambition of its optical imaging and spectroscopy. We argue that a 'sub-millimeter SDS…
Identifying Galaxy Mergers in Observations and Simulations with Deep Learning
W. J. Pearson, L. Wang, J. W. Trayford +2
Mergers are an important aspect of galaxy formation and evolution. We aim to test whether deep learning techniques can be used to reproduce visual classification of observations, p…
Deep Learning for Galaxy Mergers in the Galaxy Main Sequence
William J. Pearson, Lingyu Wang, James Trayford +2
Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers are often believed to lie above the galaxy main sequence: the tight correlation b…