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cmdstan

CmdStan, the command line interface to Stan

dsurftomo

Direct inversion of surface dispersion data based on ray tracing

espresso

Earth Science PRoblems for the Evaluation of Strategies, Solvers and Optimizers

esr_correlationwavefield

fdasrsf_python

elastic fda python code

instaseis

Instant high-frequency seismograms from an AxiSEM database

jointmts

Gradient-based joint inversion of point-source moment-tensor and station-specific time shifts

msnoise

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

mtuq

moment tensor uncertainty quantification

obstools

Tools for processing broadband ocean-bottom seismic data

orientpy

Seismic station orientation tools

pcodaautocorrelation

A Python code for 'P wave coda autocorrelation'

pkikpmultiples

Open source code for observations of PKIKP multiples in direct wavefield.

pyraysum

Teleseismic body wave modeling through stacks of (dipping/anisotropic) layers

pysep

seismogram extraction and processing using obspy

rfpy

Teleseismic receiver function calculation and post-processing

ses3d

Spectral-Elements 3D

specfem1d

SPECFEM1D simulates seismic wave propagation in a one-dimensional heterogeneous medium. It is a small code that allows users to learn how a spectral-element program is written.

specfem2d

SPECFEM2D simulates forward and adjoint seismic wave propagation in two-dimensional acoustic, (an)elastic, poroelastic or coupled acoustic-(an)elastic-poroelastic media, with Convolution PML absorbing conditions.

telewavesim

Teleseismic body wave modeling through stacks of (submarine/anisotropic) layers

towardsmti3d

This repository contains project files to reproduce results and figures reported in "Towards a new standard for seismic moment tensor inversion containing 3D Earth structure uncertainty" by Pham et al. (2024) to be published in Geophysical Journal International.

waveform-ot

Python libraries for Optimal Transport of time series - examples from paper Sambridge, Jackson and Valentine (2022)