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