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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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Bibliografische Detailangaben
Hauptverfasser: Marius Isken, Sebastian Heimann, Peter Niemz, Jannes Münchmeyer, Simone Cesca, Hannes Vasyura-Bathke, Torsten Dahm
Format: Artigo
Sprache:Inglês
Veröffentlicht: McGill University 2025-02-01
Schriftenreihe:Seismica
Schlagworte:
Online-Zugang:https://seismica.library.mcgill.ca/article/view/1283
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