Galaxy Cluster Characterization with Machine Learning Techniques

Galaxy Cluster Characterization with Machine Learning Techniques

We present an analysis of the X-ray properties of the galaxy cluster population in the z = 0 snapshot of the IllustrisTNG simulations, utilizing machine learning techniques to perform clustering and regression tasks. We examine five properties of the hot gas (the central cooling time, the central el...

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Bibliographic Details
Main Authors: M. Sadikov, J. Hlavacek-Larrondo, L. Perreault-Levasseur, C. L. Rhea, M. McDonald, M. Ntampaka, J. ZuHone
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Galaxy clusters
X-ray astronomy
Online Access:https://doi.org/10.3847/1538-4357/adcd69
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