📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ~ 8 (2024)

First Author: Tohill C

Attributed to: Astrophysics and Cosmology Research at the Jodrell Bank Centre for Astrophysics 2023-2026 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3847/1538-4357/ad17b8

Publication URI: http://dx.doi.org/10.3847/1538-4357/ad17b8

Type: Journal Article/Review

Parent Publication: The Astrophysical Journal

Issue: 2