Documentation

SplitPy is a teleseismic shear-wave (SKS) Splitting Toolbox based on the Matlab Tool SplitLab, developed by Wustefeld et al (2008).

The software is bundled with executable Python scripts that enable teleseismic shear-wave splitting analysis in two different modes:

1. Automated processing where waveforms are downloaded and analyzed using default parameters (split_calc_auto).

2. Manual processing where picking window can be refined (split_calc_manual).

Once the splitting analysis has been done, the results can be aggregated to produce averaged splitting parameters and plotted (split_average). The tutorials below show an example using data from one station of the Yukon-Northwest Seismograph Network.

Note

The software SplitPy uses a StDb database for processing. Check out StDb for more details. An example is shown in the tutorials.

Quick Links

• GitHub Repositories
• References
• Citing SplitPy

Getting Started

• Licence
• Installation
  • Dependencies
  • Conda environment
  • Installing from GitHub development branch
  • Installing from source
  • Testing
• Using local data
  • Station Metadata
  • Waveform Data

API Documentation

• Classes
  • Split
  • Meta
  • Result
  • PickPlot
  • DiagPlot
• GUI classes
  • Pick
  • Keep
  • Save
  • Repeat
• Modules
  • calc
  • utils

Scripts & Tutorials

• Scripts
  • split_calc_auto
  • split_calc_manual
  • split_average
• Tutorials
  • Creating the StDb Database
  • Automated analysis
  • Manual analysis
  • Station average