McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions
-
Updated
Feb 28, 2021 - Python
#
receiver-functions
Here are 11 public repositories matching this topic...
Python module of seismology and receiver functions
-
Updated
Nov 26, 2024 - Python
Teleseismic body wave modeling through stacks of (submarine/anisotropic) layers
-
Updated
Feb 23, 2022 - Jupyter Notebook
Teleseismic body wave modeling through stacks of (dipping/anisotropic) layers
python
fortran
modeling
seismology
geophysics
anisotropy
plane-waves
seismic-imaging
receiver-functions
-
Updated
Jun 10, 2024 - Jupyter Notebook
Teleseismic receiver function calculation and post-processing
-
Updated
Jan 31, 2024 - Python
An automatic seismology toolset for global P-to-S and S-to-P receiver function imaging
python
research
seismology
geophysics
seismic
geodynamics
seismic-imaging
receiver-function
receiver-functions
solid-earth-physics
-
Updated
Sep 4, 2023 - Python
SEISmological transdimensional inversion tools for Flat and Isotropic Layered structure in the Ocean
-
Updated
Nov 12, 2023 - Fortran
STADIUM-Py is a Python software tool that fully automates the receiver function technique (RF) and shear wave splitting (SKS) measurement analysis.
-
Updated
Dec 8, 2022 - Python
Calculate RFs and time to depth migration to examine the Moho depth variations for the broader European Alpine region. Codes used in publication: https://doi.org/10.5194/essd-15-2117-2023
-
Updated
Feb 14, 2024 - Python
Bayesian joint inversion of teleseismic converted waves arrival times and polarities
-
Updated
Jun 26, 2024 - Python
ApplicationID-B9271E3F
-
Updated
Jul 22, 2020 - CSS
Improve this page
Add a description, image, and links to the receiver-functions topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the receiver-functions topic, visit your repo's landing page and select "manage topics."