pygrt-kit 0.16.1

An Efficient and Integrated Python Package for Computing Synthetic Seismograms in a Layered Half-Space Model

Chinese Document | English Document (no longer maintained)

PyGRT : An Integrated, Efficient C/Python Toolkit to Compute Synthetic Seismograms and Static Deformation in Layered Media, including Displacement, Strain, Stress and Rotation.

• PyGRT now can compute following properties in both dynamic and static case.
  ✔️ Displacements and its spatial derivatives
  ✔️ Strain Tensor
  ✔️ Rotation Tensor
  ✔️ Stress Tensor

• At present, PyGRT can run on
  ✔️ Linux
  ✔️ MacOS
  ✔️ Windows

• PyGRT is extremely easy to install by distributing pre-built binary files.

• PyGRT now supports the model with liquid layers.

• PyGRT is still evolving, and more features will be released in the future.

Contact

If you have any questions or suggestions, feel free to reach out:

• Email: [e-mail]
• GitHub Issues: You can also raise an issue directly on GitHub.

Citation

Since PyGRT has been under continuous maintenance and extension during the peer review, its functions have exceeded the scope described in this paper. For detailed usage of each function, please refer to the documentation.

Zhu, D., Wang, J., Hao, J., Yao, S., Xu, Y., Xu, T., and Yao, Z. (2025). PyGRT: An Efficient and Integrated Python Package for Computing Synthetic Seismograms in a Layered Half‐Space Model. Seismological Research Letters, 97(3), 2138–2153. doi: 10.1785/0220250057

Zhu, D., Xu, T., Hao, J., and Yao, Z. (2025). A Direct Convergence Method for Computing Synthetic Seismograms for a Layered Half‐Space with Sources and Receivers at Close Depths. Bulletin of the Seismological Society of America, 116(2), 576–588. doi: 10.1785/0120250190

Zhu, D., Xu, T., Hao, J., and Yao, Z. (2026). An Adaptive Strategy for Robust and Efficient Computation of Dispersion Curves in a Layered Half-Space, Bulletin of the Seismological Society of America. doi: doi.org/10.1785/0120260071

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