BackTrackBB: Multi-band array detection and location of seismic sources (PyCOMPSs implementation)
- 1. Institut de Physique du Globe de Paris: Paris, Île-de-France, FR
- 2. Barcelona Supercomputing Center: Barcelona, ES
Description
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. They are signal processing, space-time imaging and detection and location.
More in detail, this version is the PyCOMPSs implementation of BackTrackBB, and includes a set of inputs synthetically generated, together with its resulting outputs, and the metadata of the execution using the Workflow Run RO-Crate profile (automatically generated by PyCOMPSs).
More information: https://backtrackbb.github.io/
Files
Files
(1.1 GB)
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md5:6c0315980adc6a79841047d8139273e2
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Additional details
References
- N. Poiata, C. Satriano, J.-P. Vilotte, P. Bernard, and K. Obara, "Multiband array detection and location of seismic sources recorded by dense seismic networks," Geophysical Journal International, vol. 205, no. 3, pp. 1548–1573, 2016.