Practical galaxy morphology tools from deep supervised representation learning (2022)

First Author: Walmsley M

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stac525

Publication URI: http://dx.doi.org/10.1093/mnras/stac525

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 2