The goal of this paper is to provide an overview of the current state of the art in seismic
tomography, and trace its origins from pioneering work in the early 1970s to its present …

Seismic tomography is a powerful tool for illuminating Earth structure across a range of
scales, but the usefulness of any image that is generated by this method is dependent on …

The reversible jump algorithm is a statistical method for Bayesian inference with a variable
number of unknowns. Here, we apply this method to the seismic tomography problem. The …

Sensitivity analysis with synthetic models is widely used in seismic tomography as a means
for assessing the spatial resolution of solutions produced by, in most cases, linear or …

A meaningful interpretation of seismic measurements requires a rigorous quantification of
the uncertainty. In an inverse problem, the data noise determines how accurately …

We test a fully non-linear method to solve Bayesian seismic tomographic problems using
data consisting of observed traveltimes of first-arriving waves. Rather than using Monte …

Traditional methods of imaging the Earth's subsurface using seismic waves require an
identifiable, impulsive source of seismic energy, for example an earthquake or explosive …

Classical seismological receiver functions are correlational or deconvolutional combinations
of vertical and horizontal component seismometer recordings of earthquake waves that …

Detailed images of Rayleigh wave group velocity are derived from ambient seismic noise
recorded by WOMBAT, a large rolling seismic array project in southeast Australia. Group …

In this study, we present an application of the ambient noise tomography (ANT) to study the
near-surface geological structures of the metropolitan Tehran/Iran region. Short-period …