A Multiwavelength Technique for Estimating Galaxy Cluster Mass Accretion Rates

A Multiwavelength Technique for Estimating Galaxy Cluster Mass Accretion Rates

The mass accretion rate of galaxy clusters is a key factor in determining their structure, but a reliable observational tracer has yet to be established. We present a state-of-the-art machine learning model for constraining the mass accretion rate of galaxy clusters from only X-ray and thermal Sunya...

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Bibliographic Details
Main Authors: John Soltis, Michelle Ntampaka, Benedikt Diemer, John ZuHone, Sownak Bose, Ana Maria Delgado, Boryana Hadzhiyska, César Hernández-Aguayo, Daisuke Nagai, Hy Trac
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Galaxy clusters
Convolutional neural networks
Neural networks
Online Access:https://doi.org/10.3847/1538-4357/adcfa4
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