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Telewavesim

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Free open-source software (MIT License)

Free

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On the record

Audience
The project describes the software as useful for teleseismic receiver-based studies.paudetseis.github.io · read 12 Oct 2026
Delivery mode
desktoppaudetseis.github.io · read 24 Sep 2026
Dependencies
The installation instructions use Conda, Python, a Fortran compiler, and ObsPy, and recommend a separate Conda environment.paudetseis.github.io · read 12 Oct 2026
Examples
The package includes Jupyter notebooks that demonstrate its routines and workflows.paudetseis.github.io · read 12 Oct 2026
Implementation
The package combines Fortran code with Python modules and wrappers.paudetseis.github.io · read 12 Oct 2026
Material library
The code supports general anisotropy but currently includes a limited number of mineral and rock elastic tensors.paudetseis.github.io · read 12 Oct 2026
Model setup
Users can define layered models in a text file or create them in Python with the Model class.paudetseis.github.io · read 12 Oct 2026
Ocean-bottom seismology
It models reverberations from an overlying water column to simulate ocean-bottom seismic station recordings.paudetseis.github.io · read 12 Oct 2026
Purpose
Telewavesim models teleseismic body-wave propagation through stacks of generally anisotropic, strictly horizontal layers.paudetseis.github.io · read 12 Oct 2026
Research uses
The documentation identifies receiver functions, long-period P-wave polarization, shear-wave splitting, and stochastic inverse methods as potential uses.paudetseis.github.io · read 12 Oct 2026
Security and warranty
The MIT license provides the software “as is” without warranty; the pages opened state no security certification or compliance information.paudetseis.github.io · read 12 Oct 2026
Support
The documentation directs users to submit an issue on GitHub if they encounter installation problems.paudetseis.github.io · read 12 Oct 2026
Version limitation
The documentation says version 0.3.0 has limited testing and LAPACK linking may fail on some systems.paudetseis.github.io · read 12 Oct 2026

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