Cardinal: Seismic and Geoacoustic Array Processing
Description:
Data collected via seismic and infrasound array deployments are leveraged in the geosciences to detect and characterize a myriad of natural and anthropogenic sources. These deployments consist of many sensors placed in a predetermined configuration to amplify signal strength and improve the efficacy of array processing techniques used to measure signal directionality and waveform coherence. High fidelity feature extraction is often predicated on inter-station distance as well as the frequency content and wavelength of an incident signal. Numerous array processing softwares analyze data in sequential frequency bands to obtain a more detailed characterization of a signal. However, current algorithms are limited in their ability to (1) determine optimal array configuration for each band, and (2) mitigate for continuous coherent signals, such as microbaroms or microseisms, that exhibit the propensity to obfuscate signals-of-interest when processing array data.
We introduce an open-source Python code, called Cardinal, to process seismic and infrasound array data in discretized time-frequency space with the option of applying an adaptive array design to determine optimal subarray configuration for each frequency band. To reduce computational time, the array processing step can be run in parallel using multithreading. Furthermore, the software has the capability to aggregate array processing results from different time-frequency pixels to produce separate sets of detections, or families. This approach has added utility via the application of an adaptive semblance threshold which aids in isolating signals-of-interest from coherent background noise. Upon appropriate configuration, Cardinal exhibits the potential to combine distinct seismic and infrasound phases into separate families. We showcase the effectiveness of Cardinal on a variety of sources, including bolide infrasound, earthquake infrasound, and explosion seismology.
Additional Information: SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.
Session: Advancements in Forensic Seismology and Explosion Monitoring - IV
Type: Oral
Date: 4/17/2025
Presentation Time: 05:00 PM (local time)
Presenting Author: Miro
Student Presenter: Yes
Invited Presentation:
Poster Number:
Authors
Miro Ronac Giannone Presenting Author Corresponding Author mronacgiannone@smu.edu Sandia National Laboratories |
Stephen Arrowsmith sarrowsmith@smu.edu Southern Methodist University |
Elizabeth Silber esilbe@sandia.gov Sandia National Laboratories |
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Cardinal: Seismic and Geoacoustic Array Processing
Category
Advancements in Forensic Seismology and Explosion Monitoring