Automatic Search for Low-surface-brightness Galaxies from Sloan Digital Sky Survey Images Using Deep Learning

Automatic Search for Low-surface-brightness Galaxies from Sloan Digital Sky Survey Images Using Deep Learning

Low-surface-brightness (LSB) galaxies play a crucial role in our understanding of galaxy evolution and dark matter cosmology. However, efficiently detecting them in large-scale surveys is challenging, due to their dim appearance. In this study, we propose a two-step detection method based on deep le...

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Bibliographic Details
Main Authors: Zengxu Liang, Zhenping Yi, Wei Du, Meng Liu, Yuan Liu, Junjie Wang, Xiaoming Kong, Yude Bu, Hao Su, Hong Wu
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astronomical Journal
Subjects:
Low surface brightness galaxies
Astronomy data analysis
Online Access:https://doi.org/10.3847/1538-3881/ad4f8a

Internet

https://doi.org/10.3847/1538-3881/ad4f8a

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