Classification of Variable Star Light Curves with Convolutional Neural Network

Classification of Variable Star Light Curves with Convolutional Neural Network

The classification of variable stars is essential for understanding stellar evolution and dynamics. With the growing volume of light curve data from extensive surveys, there is a need for automated and accurate classification methods. Traditional methods often rely on manual feature extraction and s...

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Bibliographic Details
Main Authors: Almat Akhmetali, Timur Namazbayev, Gulnur Subebekova, Marat Zaidyn, Aigerim Akniyazova, Yeskendyr Ashimov, Nurzhan Ussipov
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Galaxies
Subjects:
variable star
light curve
machine learning
convolutional neural network
random forest
Online Access:https://www.mdpi.com/2075-4434/12/6/75
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