The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis

The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis

The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. This study addresses this need by demonstrating some applications of manifold learning and dimensionality reduct...

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Bibliographic Details
Main Authors: Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, Gabriela Canalizo, Barry C. Barish, Irene Shivaei, Alison L. Coil, Nima Chartab, Marziye Jafariyazani, Naveen A. Reddy, Mojegan Azadi
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Galaxy evolution
AGN host galaxies
Astronomy data analysis
Astronomy data visualization
Broad band photometry
Spectroscopy
Online Access:https://doi.org/10.3847/1538-4357/ad90ba
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https://doi.org/10.3847/1538-4357/ad90ba

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