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...
Gardado en:
| Principais autores: | , , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
The Korean Space Science Society
2024-09-01
|
| Series: | Journal of Astronomy and Space Sciences |
| Assuntos: | |
| Acceso en liña: | https://www.janss.kr/archive/view_article?pid=jass-41-3-149 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|