Using Machine Learning to Estimate Near-ultraviolet Magnitudes and Probe Quenching Mechanisms of z = 0 Nuggets in the RESOLVE and ECO Surveys

Using Machine Learning to Estimate Near-ultraviolet Magnitudes and Probe Quenching Mechanisms of z = 0 Nuggets in the RESOLVE and ECO Surveys

We present a z = 0 census of nuggets—compact galaxies that form via gas-rich violent disk instability—within the luminosity- and volume-limited RESOLVED Spectroscopy Of a Local VolumE (RESOLVE) and Environmental COntext (ECO) surveys. We use random forest (RF) models to predict near-ultraviolet (NUV...

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Bibliographic Details
Main Authors: Derrick S. Carr, Sheila J. Kannappan, Zackary L. Hutchens, Mugdha S. Polimera, Mark A. Norris, Kathleen D. Eckert, Amanda J. Moffett
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Galaxy bulges
Galaxy evolution
Galaxy quenching
Compact dwarf galaxies
Blue compact dwarf galaxies
Random Forests
Online Access:https://doi.org/10.3847/1538-4357/adc71b
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