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Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging (2020)

First Author: Cheng T

Attributed to: Astrophysics at the University of Nottingham 2020-2023 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/staa501

Publication URI: http://dx.doi.org/10.1093/mnras/staa501

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 3