Current browse context:
physics.geo-ph
Change to browse by:
References & Citations
Physics > Geophysics
Title: Harpa: High-Rate Phase Association with Travel Time Neural Fields
(Submitted on 14 Jul 2023 (v1), revised 10 Feb 2024 (this version, v2), latest version 26 Mar 2024 (v3))
Abstract: Our understanding of regional seismicity from multi-station seismograms relies on the ability to associate arrival phases with their originating earthquakes. Deep-learning-based phase detection now detects small, high-rate arrivals from seismicity clouds, even at negative magnitudes. This new data could give important insight into earthquake dynamics, but it is presents a challenging association task. Existing techniques relying on coarsely approximated, fixed wave speed models fail in this unexplored dense regime where the complexity of unknown wave speed cannot be ignored. We introduce Harpa, a high-rate association framework built on deep generative modeling and neural fields. Harpa incorporates wave physics by using optimal transport to compare arrival sequences. It is thus robust to unknown wave speeds and estimates the wave speed model as a by-product of association. Experiments with realistic, complex synthetic models show that Harpa is the first seismic phase association framework which is accurate in the high-rate regime, paving the way for new avenues in exploratory Earth science and improved understanding of seismicity.
Submission history
From: Cheng Shi [view email][v1] Fri, 14 Jul 2023 18:29:24 GMT (13286kb,D)
[v2] Sat, 10 Feb 2024 21:05:48 GMT (14585kb,D)
[v3] Tue, 26 Mar 2024 20:50:44 GMT (14095kb,D)
Link back to: arXiv, form interface, contact.