Statistical Classification and an Optimized Red-Sequence Technique for the Determination of Galaxy Clusters

Statistical Classification and an Optimized Red-Sequence Technique for the Determination of Galaxy Clusters

This study presents a novel method for characterizing galaxy clusters by integrating statistical classification techniques with an optimized adaptation of the red sequence approach. The proposed algorithm employs Gaussian mixture models to analyze the distribution of three key variables: <i>r&...

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Bibliographic Details
Main Authors: Dagoberto R. Mares-Rincón, Josué J. Trejo-Alonso, José A. Guerrero-Díaz-de-León, Jorge E. Macías-Díaz
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Galaxies
Subjects:
galaxy clusters
statistical classification
Gaussian mixture models
Mahalanobis distance
red sequence technique
principal eigenvector
Online Access:https://www.mdpi.com/2075-4434/13/3/52
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