Pytheas: an open-source software solution for local shear-wave splitting studies

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IMPORTANT You can find a pre-release which includes a stabler Catalogue Cluster Analysis, including parallelization, in https://github.com/ispingos/pytheas-splitting/releases/tag/v.0.3.0%2Bd13

Pytheas is a tool that aims to introduce a new mentality in shear-wave splitting analysis from local recordings, incorporating manual, semi- and fully- automatic methods under one Graphical User Interface. Integrating databases and offering compatibility with popular data and metadata file formats, Pytheas is designed with the simplification of analysis in mind, while, at the same time, enhanching the effectiveness of processing and quality control of results.

Along with the program itself, you can find the following files:

• docs: Contains a detailed User's Guide as well as other relevant documentation.
• acquisition_scripts: Scripts for acquiring event data and metadata, as well as station metadata from EIDA and IRIS FDSN services.
• example: Sample waveforms, catalogues, station file and velocity model for trying out the program.

Pytheas is released under the GNU GPLv3 license.

Authors: Spingos I. & Kaviris G. (c) 2019 Special thanks to Millas C. for testing the software and providing valuable feedback from the very early stages of this endeavor!

Pytheas on YouTube: https://www.youtube.com/channel/UC7USfZT9PfnNTNqMiY1AgTg

Short hands-on lecture about Pytheas in CRL School 2020: https://www.youtube.com/watch?v=cUB5qNdUFh0

For any issues, comments or suggestions please contact us at [email protected] or through GitHub at https://www.github.com/ispingos/pytheas-splitting

How to cite

Spingos, I., Kaviris, G., Millas, C., Papadimitriou, P., Voulgaris, N., 2020. Pytheas: An open-source software solution for local shear-wave splitting studies. Comput. Geosci. 134, 104346. doi: 10.1016/j.cageo.2019.104346

The published article can be accessed through Elsevier via the following link: https://www.sciencedirect.com/science/article/pii/S0098300419303784