Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning

This study developed a machine learning-based methodology to classify gravitational wave (GW) signals from black holeneutron star (BH-NS) mergers by combining convolutional neural network (CNN) with conditional information for feature extraction. The model was trained and validated on a dataset of...

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主要な著者:	Nurzhan Ussipov, Almat Akhmetali, Marat Zaidyn, Dana Turlykozhayeva, Aigerim Akniyazova, Timur Namazbayev, Zeinulla Zhanabaev
フォーマット:	Artigo
言語:	Inglês
出版事項:	The Korean Space Science Society 2024-09-01
シリーズ:	Journal of Astronomy and Space Sciences
主題:	gravitational waves conditional information machine learning classification
オンライン･アクセス:	https://www.janss.kr/archive/view_article?pid=jass-41-3-149
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