https://github.com/claudiodsf/backtrackbb
Multi-band array detection and location of seismic sources
Science Score: 13.0%
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Low similarity (14.7%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Multi-band array detection and location of seismic sources
Basic Info
- Host: GitHub
- Owner: claudiodsf
- License: other
- Language: Python
- Default Branch: master
- Homepage: http://backtrackbb.github.io
- Size: 4.25 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of BackTrackBB/backtrackbb
Created about 9 years ago
· Last pushed almost 6 years ago
https://github.com/claudiodsf/backtrackbb/blob/master/
## BackTrackBB Multi-band array detection and location of seismic sources (c) 2015-2018 Natalia Poiata, Claudio Satriano ; (c) 2013-2014 Natalia Poiata , Claudio Satriano , Pierre Romanet 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](https://www.dropbox.com/s/borfq99yajyi1ii/backtrackbb-0.0.0_gea9d-cp36-cp36m-win_amd64.whl?dl=1) (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](https://www.dropbox.com/s/emlz4lbd6dpu9a9/examples.zip?dl=1) 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](http://backtrackbb.readthedocs.io/en/latest/) ### Contact Information: * [Natalia Poiata](mailto:poiata@ipgp.fr) * [Claudio Satriano](mailto:satriano@ipgp.fr) ### 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](https://doi.org/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), 21932213, doi:[10.1093/gji/ggy070](https://doi.org/10.1093/gji/ggy070).
Owner
- Name: Claudio Satriano
- Login: claudiodsf
- Kind: user
- Location: Paris, France
- Company: @IPGP
- Website: https://www.ipgp.fr/~satriano
- Twitter: claudiodsf
- Repositories: 13
- Profile: https://github.com/claudiodsf
Seismologist, Continuous Learner