Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach

In this work, we apply Convolutional Neural Networks (CNNs) to detect gravitational wave (GW) signals of compact binary coalescences, using single-interferometer data from real LIGO detectors. Here, we adopted a resampling white-box approach to advance towards a statistical understanding of uncertai...

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Detalles Bibliográficos
Autores principales: Morales, Manuel D., Antelis, Javier M., Moreno, Claudia, Nesterov, Alexander I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124390/
https://www.ncbi.nlm.nih.gov/pubmed/34063581
http://dx.doi.org/10.3390/s21093174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124390/
https://www.ncbi.nlm.nih.gov/pubmed/34063581
http://dx.doi.org/10.3390/s21093174

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