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.

Bibliographic Details
Main Authors: S. Mostafa Mousavi, William L. Ellsworth, Weiqiang Zhu, Lindsay Y. Chuang, Gregory C. Beroza
Format: Article
Language:English
Published: Nature Publishing Group 2020-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-17591-w