COSMIC: A Galaxy Cluster–Finding Algorithm Using Machine Learning
Building a comprehensive catalog of galaxy clusters is a fundamental task for studies on structure formation and galaxy evolution. In this paper, we present Cluster Optical Search using Machine Intelligence in Catalogs (COSMIC), an algorithm utilizing machine learning techniques to efficiently detec...
Saved in:
Main Authors: | Da-Chuan Tian, Yang Yang, Zhong-Lue Wen, Jun-Qing Xia |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | The Astrophysical Journal Supplement Series |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4365/ad8bbd |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Accuracy of the Photometric Redshifts of Brightest Cluster Galaxies Identified in the CFHTLS-W1
by: Sinan Aliş
Published: (2024-12-01) -
Cluster Candidates with Massive Quiescent Galaxies at z ∼ 2
by: Tomokazu Kiyota, et al.
Published: (2025-01-01) -
Hubble Space Telescope Observations within the Sphere of Influence of the Powerful Supermassive Black Hole in PKS 0745-191
by: Julie Hlavacek-Larrondo, et al.
Published: (2025-01-01) -
The Effect of Galaxy Interactions on Starbursts in Milky Way-mass Galaxies in FIRE Simulations
by: Fei Li, et al.
Published: (2025-01-01) -
The Bullseye: HST, Keck/KCWI, and Dragonfly Characterization of a Giant Nine-ringed Galaxy
by: Imad Pasha, et al.
Published: (2025-01-01)