Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Earthquake signal detection and seismic phase picking are challenging tasks in the processing of noisy data and the monitoring of microearthquakes. Here we present a global deep-learning model for simultaneous earthquake detection and phase picking. Performing these two related tasks in tandem impro...

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Detalles Bibliográficos
Autores principales: Mousavi, S. Mostafa, Ellsworth, William L., Zhu, Weiqiang, Chuang, Lindsay Y., Beroza, Gregory C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415159/
https://www.ncbi.nlm.nih.gov/pubmed/32770023
http://dx.doi.org/10.1038/s41467-020-17591-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415159/
https://www.ncbi.nlm.nih.gov/pubmed/32770023
http://dx.doi.org/10.1038/s41467-020-17591-w

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