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Unsupervised learning architecture for classifying the transient noise of interferometric gravitational-wave detectors
In the data obtained by laser interferometric gravitational wave detectors, transient noise with non-stationary and non-Gaussian features occurs at a high rate. This often results in problems such as detector instability and the hiding and/or imitation of gravitational-wave signals. This transient n...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200730/ https://www.ncbi.nlm.nih.gov/pubmed/35705623 http://dx.doi.org/10.1038/s41598-022-13329-4 |