On the Nature of Disks at High Redshift Seen by JWST/CEERS with Contrastive Learning and Cosmological Simulations

On the Nature of Disks at High Redshift Seen by JWST/CEERS with Contrastive Learning and Cosmological Simulations

Visual inspections of the first optical rest-frame images from JWST have indicated a surprisingly high fraction of disk galaxies at high redshifts. Here, we alternatively apply self-supervised machine learning to explore the morphological diversity at z ≥ 3. Our proposed data-driven representation s...

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Bibliographic Details
Main Authors: Jesús Vega-Ferrero, Marc Huertas-Company, Luca Costantin, Pablo G. Pérez-González, Regina Sarmiento, Jeyhan S. Kartaltepe, Annalisa Pillepich, Micaela B. Bagley, Steven L. Finkelstein, Elizabeth J. McGrath, Johan H. Knapen, Pablo Arrabal Haro, Eric F. Bell, Fernando Buitrago, Antonello Calabrò, Avishai Dekel, Mark Dickinson, Helena Domínguez Sánchez, David Elbaz, Henry C. Ferguson, Mauro Giavalisco, Benne W. Holwerda, Dale D. Kocesvski, Anton M. Koekemoer, Viraj Pandya, Casey Papovich, Nor Pirzkal, Joel Primack, L. Y. Aaron Yung
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Galaxy formation
Galaxy evolution
High-redshift galaxies
Neural networks
Online Access:https://doi.org/10.3847/1538-4357/ad05bb

Internet

https://doi.org/10.3847/1538-4357/ad05bb

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