Deep learning methods for obtaining photometric redshift estimations from images (2022)

First Author: Henghes B
Attributed to:  Newton Fund for capacity building in data intensive science in the Middle-East funded by Newton Fund

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stac480

Publication URI: http://dx.doi.org/10.1093/mnras/stac480

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 2