DynTriPy

A package for detecting dynamic triggering.

Download all files and run setup.py to install this package.

We provide some test data and an example script in the folder of test.

Input file

Before calculating, the parameters and data sources are needed to be configured in the file input.json. Detailed descriptions of the key words in the input file are as follows:

• "data_source"
  • "station_file": file containing station names
  • "waveform_path": folder of raw sac/mseed data
  • "response_file": file of PZ files summary
  • "remote_earthquake_catalog": catalog file of remote earthquakes
• "net_database"
  • "days": [M_1, M_2]; power integrals of M1 days before and M2 days after the dates of distant earthquakes are computed
  • "time_segment": length of time segment
  • "frequency_segment": [min, step, max]; minimum (min), segment length (step), and maximum (max) of the frequency segments
  • "database_path": path to store the power integral database
• "net_ratio"
  • "RE_path": folder to store the logarithmic ratio values of the remote earthquakes
  • "background_days": [N_1, N_2]; select N_1 days before and N_2 days after the dates of distant earthquakes as background days
  • "background_catalog": catalog file of the virtual events in background days
  • "RB_path": folder to store the logarithmic ratio values of the background days
• "net_cl"
  • "matched_ratio_path": folder to store the matched ratio of remote earthquakes and background days
  • "cl_path": folder to store the confidence levels
  • "threshold": threshold of confidence level to identify triggering