16 citations · 16 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2024
End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography
Jack Muir, Gerrit Olivier, Anthony Reid
This paper presents an innovative end-to-end workflow for mineral exploration, integrating ambient noise tomography (ANT) and artificial intelligence (AI) to enhance the discovery…
physics.geo-ph2023
Bayesian eikonal tomography using Gaussian processes
Jack B. Muir
Eikonal tomography has become a popular methodology for deriving phase velocity maps from surface wave phase delay measurements. Its high efficiency makes it popular for handling d…
physics.geo-ph2023★ 16 cited
A Deep Gaussian Process Model for Seismicity Background Rates
Jack B. Muir, Zachary E. Ross
The spatio-temporal properties of seismicity give us incisive insight into the stress state evolution and fault structures of the crust. Empirical models based on self-exciting poi…