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Galaxy classification: A machine learning analysis of GAMA catalogue data

By Aleke Nolte and others
We present a machine learning analysis of five labelled galaxy catalogues from the Galaxy And Mass Assembly (GAMA): The SersicCatVIKING and SersicCatUKIDSS catalogues containing morphological features, the GaussFitSimple catalogue containing spectroscopic features, the MagPhys catalogue including physical parameters for galaxies, and the Lambdar catalogue, which contains photometric measurements. Extending work... Show more
March 18, 2019
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Galaxy classification: A machine learning analysis of GAMA catalogue data
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