Maarten V. de Hoop

TL;DR: In this paper, the authors used empirical Green's functions between pairs of seismographs to estimate velocity dispersion at relatively short periods, which can be used to resolve structures in the crust and uppermost mantle better than with traditional surface-wave tomography.

TL;DR: Solid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods, and how these methods can be applied to solid Earth datasets is reviewed.

TL;DR: In this paper, the authors describe the propagation and scattering of acoustic waves in smoothly varying, heterogeneous media using Fourier analysis, and introduce a class of approximations to these pseudo-differential operators with the structure of the classical phase-screen method for one-way wave propagation.

TL;DR: This work considers the modeling of (polarized) seismic wave propagation on a rectangular domain via the discretization and solution of the inhomogeneous Helmholtz equation in 3D, by exploiting a parallel multifrontal sparse direct solver equipped with Hierarchically Semi‐Separable (HSS) structure to reduce the computational complexity and storage.

TL;DR: In this article, a method for processing seismic data samples obtained from seismic signals propagating in an anisotropic medium is presented, where the data samples are associated with scattering angles and azimuth at each migration dip at each image point of the medium.