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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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Principais autores: Nurzhan Ussipov, Almat Akhmetali, Marat Zaidyn, Dana Turlykozhayeva, Aigerim Akniyazova, Timur Namazbayev, Zeinulla Zhanabaev
Format: Artigo
Sprog:Inglês
Udgivet: The Korean Space Science Society 2024-09-01
Serier:Journal of Astronomy and Space Sciences
Fag:
gravitational waves
conditional information
machine learning
classification
Online adgang:https://www.janss.kr/archive/view_article?pid=jass-41-3-149
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