Backtrackbb Save

BackTrackBB

Multi-band array detection and location of seismic sources

(c) 2015-2018 Natalia Poiata [email protected], Claudio Satriano [email protected];

(c) 2013-2014 Natalia Poiata [email protected], Claudio Satriano [email protected], Pierre Romanet [email protected]

BackTrackBB is a program for detection and space-time location of seismic sources based on multi-scale, frequency-selective statistical coherence of the wave field recorded by dense large-scale seismic networks and local antennas. The method is designed to enhance coherence of the signal statistical features across the array of sensors and consists of three steps:

• signal processing;
• space-time imaging;
• detection and location.

Getting Started

Clone or download the project from GitHub, if needed uncompress the archive.

Installation:

Linux and macOS:

Note: You will need a C compiler (ex., gcc or clang).

Run the following command from within the main directory:

pip install .

or to install developer mode use:

pip install -e .

Windows

You can use the above instructions for Linux and macOS, if you have a recent version of Visual Studio.

Alternatively, download the most recent Windows build of backtrackbb from this link (python wheel file) and install it with:

pip install backtrackbb-VERSION.whl

where VERSION is the current backtrackbb version string (part of the file name).

Running examples:

First, download the file examples.zip containing additional data (seismograms and theoretical travel-time grids).

Run the main detection and location code on an example dataset:

btbb  examples/BT_ChileExample.conf

Run an example illustrating the procedure of Multi-Band Filter Characteristic Function calculation:

mbf_plot  examples/MBF_ChileExample.conf

Documentation

A detailed documentation is available here: backtrackbb.readthedocs.io

Contact Information:

• Natalia Poiata
• Claudio Satriano

References

Poiata, N., C. Satriano, J.-P. Vilotte, P. Bernard, and K. Obara (2016). Multi-band array detection and location of seismic sources recorded by dense seismic networks, Geophys. J. Int., 205(3), 1548-1573, doi:10.1093/gji/ggw071.

Poiata, N., J.-P., Vilotte, P., Bernard, C., Satriano, and K. Obara (2018). Imaging different components of a tectonic tremor sequence in southwestern Japan using an automatic statistical detection and location method, Geophys. J. Int., 213(3), 2193–2213, doi:10.1093/gji/ggy070.