Exploiting Machine Learning and Disequilibrium in Galaxy Clusters to Obtain a Mass Profile

We use 3D k -means clustering to characterize galaxy substructure in the A2146 cluster of galaxies ( z = 0.2343). This method objectively characterizes the cluster’s substructure using projected position and velocity data for 67 galaxies within a 2.305 Mpc circular region centered on the cluster...

Bibliografski detalji
Glavni autori:	Mark J. Henriksen, Prajwal Panda
Format:	Članak
Jezik:	English
Izdano:	IOP Publishing 2024-01-01
Serija:	The Astrophysical Journal Letters
Teme:	Galaxy clusters Astroinformatics Large-scale structure of the universe Dark matter distribution
Online pristup:	https://doi.org/10.3847/2041-8213/ad1ede

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