72 citations · 103 across the 5 of their papers we have counts for
5 papers
Benchmarking seismic phase associators: Insights from synthetic scenarios
Jorge Puente, Christian Sippl, Jannes Münchmeyer +1
Reliable seismicity catalogs are essential for seismology. Following phase picking, phase association groups arrivals into sets with consistent origins (i.e., events), determines e…
Double Difference Earthquake Location with Graph Neural Networks
Ian W. McBrearty, Gregory C. Beroza
Double difference earthquake relocation is an essential component of many earthquake catalog development workflows. This technique produces high-resolution relative relocations bet…
Deep Learning Forecasts Caldera Collapse Events at Kilauea Volcano
Ian W. McBrearty, Paul Segall
During the three month long eruption of Kilauea volcano, Hawaii in 2018, the pre-existing summit caldera collapsed in over 60 quasi-periodic failure events. The last 40 of these ev…
Earthquake Phase Association with Graph Neural Networks
Ian W. McBrearty, Gregory C. Beroza
Seismic phase association connects earthquake arrival time measurements to their causative sources. Effective association must determine the number of discrete events, their locati…
Earthquake Location and Magnitude Estimation with Graph Neural Networks
Ian W. McBrearty, Gregory C. Beroza
We solve the traditional problems of earthquake location and magnitude estimation through a supervised learning approach, where we train a Graph Neural Network to predict estimates…