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Probabilistic, Epidemic-Type Aftershock Incompleteness (PETAI)

License: MIT License

Python 100.00%

petai's Introduction

PETAI: Probabilistic, Epidemic-Type Aftershock Incompleteness

This code was written by Leila Mizrahi with help from Shyam Nandan for the following article:

Leila Mizrahi, Shyam Nandan, Stefan Wiemer 2021;
Embracing Data Incompleteness for Better Earthquake Forecasting.
Journal of Geophysical Research: Solid Earth; doi: https://doi.org/10.1029/2021JB022379


To cite the code, please cite the article.
For more documentation on the code, see the (supporting information of the) article.
For general ETAS, or ETAS with long-term variations of completeness, see ETAS.
In case of questions or comments, contact me: [email protected].

Contents:

  • inversion.py: PETAI algorithm to estimate ETAS and detection parameters.
  • simulation.py: Catalog simulation given ETAS parameters and estimated incompleteness.
  • data/synthetic_catalog.csv: example synthetic catalog.
  • invert_petai.py: run example PETAI inversion on data/synthetic_catalog.csv.
  • simulate_catalog_continuation.py: simulate one example catalog continuation of data/synthetic_catalog.csv, using the parameters and incompleteness estimated when running invert_petai.py.

Just in case, here is my pip freeze:

  • geopandas==0.9.0
  • numpy==1.19.1
  • pandas==1.1.1
  • pynverse==0.1.4.4
  • pyproj==3.0.1
  • scipy==1.5.2

petai's People

Contributors

lmizrahi avatar

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