Mining for Protoclusters at z ∼ 4 from Photometric Data Sets with Deep Learning

Mining for Protoclusters at z ∼ 4 from Photometric Data Sets with Deep Learning

Protoclusters are high- z overdense regions that will evolve into clusters of galaxies by z = 0, making them ideal for studying galaxy evolution expected to be accelerated by environmental effects. However, it has been challenging to identify protoclusters beyond z = 3 only by photometry due to larg...

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Bibliographic Details
Main Authors: Yoshihiro Takeda, Nobunari Kashikawa, Kei Ito, Jun Toshikawa, Rieko Momose, Kent Fujiwara, Yongming Liang, Rikako Ishimoto, Takehiro Yoshioka, Junya Arita, Mariko Kubo, Hisakazu Uchiyama
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Protoclusters
Lyman-break galaxies
Galaxy environments
High-redshift galaxy clusters
Online Access:https://doi.org/10.3847/1538-4357/ad8a67
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https://doi.org/10.3847/1538-4357/ad8a67

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