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Qseek: A data-driven Framework for Automated Earthquake Detection, Localization and Characterization

We introduce a data-driven method and software for detecting and locating earthquakes in large seismic datasets. By combining seismic phase arrival annotations, delivered by neural network phase pickers, and waveform stacking with an adaptive octree search, we can automatically detect and locate se...

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Principais autores: Marius Isken, Sebastian Heimann, Peter Niemz, Jannes Münchmeyer, Simone Cesca, Hannes Vasyura-Bathke, Torsten Dahm
Format: Artigo
Sprog:Inglês
Udgivet: McGill University 2025-02-01
Serier:Seismica
Fag:
Seismology
Earthquake detection
Machine learning
Earthquake Location
Large-N arrays
Online adgang:https://seismica.library.mcgill.ca/article/view/1283
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