Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking
The authors here present a deep learning model that simultaneously detects earthquake signals and measures seismic-phase arrival times. The model performs particularly well for cases with high background noise and the challenging task of picking the S wave arrival.
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-08-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-17591-w |