gr-b-pf

Gutenberg-Richter law $b$ value estimation using Particle Filter

This repository provides code for estimation of Gutenberg-Richter law $b$ value using Particle Filter.

Example of estimating $b$ value is displayed by notebook.

You can set up calculating environment and run code as following.

pip install -r requirements.txt

If you use Docker environment, you can start using Dockerfile by

docker build -t pfgr .
docker run --name pfgr-c -it pfgr /bin/bash

run code If you have data (CSV format) with column date_time, magnitude, you can run code as following

python3 run.py [--data DATA] [--num_particle NUM_PARTICLE] [--m_lower M_LOWER]

results Results of estimating $b$ value are put at the directory ./result/ as CSV file.

Models implemented in this code are described at our paper. Below models are supported.