A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8
(2024)
Journal Article
Tohill, C., Bamford, S. P., Conselice, C. J., Ferreira, L., Harvey, T., Adams, N., & Austin, D. (2024). A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8. Astrophysical Journal, 962(2), Article 164. https://doi.org/10.3847/1538-4357/ad17b8
Galaxy morphologies provide valuable insights into their formation processes, tracing the spatial distribution of ongoing star formation and encoding signatures of dynamical interactions. While such information has been extensively investigated at lo... Read More about A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8.