Séminaire ISTerre

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Uncovering uncataloged low-frequency earthquake sources with deep learning

mercredi 17 janvier 2024 - 10h00

Jannes Munchmeyer  - séminaire post-doc (café 9h45 salle convivialité)
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Documenting the interplay between slow deformation and the seismic ruptures is of great importance to better understand the physics of earthquakes nucleation. However, slow deformation is often difficult to detect and characterize. The most pervasive seismic markers of slow slip are low-frequency earthquakes (LFEs) that allow resolving deformations with minute-scale resolution. Detecting LFEs is hard, due to their emergent onsets and low signal-to-noise ratios, usually requiring region-specific template matching approaches. These approaches suffer from low flexibility and might miss LFEs as they are constrained to sources identified a priori. Here, we develop a deep learning-based workflow for LFE detection, modeled after a classical earthquake detection workflow with phase picking, phase association, and location. Across three regions with known LFE activity, we detect LFEs from both previously cataloged sources and newly identified sources. Furthermore, we show that the approach is transferable across regions, suggesting that it will enable systematic studies of LFEs in regions without known LFE activity.

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Equipe organisatrice : Organisation labo

Amphithéâtre Killian, Maison des Géosciences, 38400 Saint Martin d'Hères