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Gradient-based joint inversion of point-source moment-tensor and station-specific time shifts

Thanh-Son Pham ([email protected])

This repository contains source files to reproduce data analysis and figures published in the GJI artcile.

To run the entire package, TensorFlow, TensorFlow-Probability, obspy need to be installed in your environment.

Content of this package:

  • CPS.py: library file for function to generate Green's function with CPS program (Herrmann, 2023).
  • UTIL.py: utinily file for plotting and other supporting function.
  • MT.py: implementation of joint moment tensor inversion using TensorFlow functionalities.
  • LongValley: Directory containing analysis for the case study of earthquakes in Long Valley Caldera regions
    • SoCal.plain.txt: 1D velocity model for Southern California.
    • Pham_GJI2024.ipynb: Jupyter notebook to produce paper figures.
    • MainMTI.py: Wrapping script to reproduce the entire data analysis.
    • run_main_cpu.pbs: Main bash script to re-run all experiments.
    • OUTPUT: experiment output. Note: it's costly to re-run all the experiment. Please consider to use a computer cluster.

Canberra, May 2024.

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