high-performance computing

BPMF: A backprojection and matched-filtering workflow for automated earthquake detection and location

We introduce BPMF (backprojection and matched filtering)—a complete and fully automated workflow designed for earthquake detection and location, and distributed in a Python package. This workflow enables the creation of comprehensive earthquake …

Systematic Detection of Clustered Seismicity Beneath the Southwestern Alps

We present a new automated earthquake detection and location method based on beamforming (or back projection) and template matching and apply it to study the seismicity of the Southwestern Alps. We use beamforming with prior knowledge of the 3-D …

Fast matched-filter (FMF): an efficient seismic matched-filter search for both CPU and GPU architectures

Matched-filter searches are an important tool in modern seismology to detect seismic events. They operate via an algorithm that computes the correlation coefficient between a template event and a sliding window of continuous seismic records. A …

Using systematically characterized low-frequency earthquakes as a fault probe in Guerrero, Mexico

Studies of low-frequency earthquakes (LFEs) have focused on detecting events within previously identified tectonic tremor. However, the principal LFE detection tools of matched-filter searches are intrinsically incapable of detecting events that have …