A Classification Catalog of Periodic Variable Stars for LAMOST DR9 Based on Machine Learning

A Classification Catalog of Periodic Variable Stars for LAMOST DR9 Based on Machine Learning

Identifying and classifying variable stars is essential to time-domain astronomy. The Large Area Multi-Object Fiber Optic Spectroscopic Telescope (LAMOST) acquired a large amount of spectral data. However, there is no corresponding variable source-related information in the data, constraining LAMOST...

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Bibliographic Details
Main Authors: Peiyun Qiao, Tingting Xu, Feng Wang, Ying Mei, Hui Deng, Lei Tan, Chao Liu
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Catalogs
Variable stars
Cross-validation
Light curves
Online Access:https://doi.org/10.3847/1538-4365/ad3452

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