The Iterative Processing Framework: A New Paradigm for Automatic Event Building
Abstract
In a traditional data processing pipeline, signal detections (i.e., arrival times, slownesses, and azimuths) are passed to a signal associator to form events. The associator then links the detections to the fitting event hypotheses to generate an event bulletin. Most of the time, this traditional pipeline requires heavy human analyst involvement to improve the quality of the resulting event bulletin. For example, at the International Data Center (IDC) human analysts spend a significant amount of time and effort to correct the automated bulletin. We propose an Iterative Processing Framework (IPF) that includes a new data processing module that incorporates automatic analyst behaviors (Auto Analyst) into the event building pipeline. In the proposed framework, through an iterative process, Auto Analyst takes over many of the tasks traditionally performed by human analysts. These tasks include searching for expected signal detections for validated event hypotheses at lower thresholds in optimized detection bands that are informed by historical data; validating and refining signal detections by performing multiple f-k analyses with varying parameters; and locating events based on unassociated signal detections from single array stations. To test the proposed pipeline, we processed a two-week period (May 01 to May 14, 2010) of the signal detections dataset from the IDC. Comparison with an expert analyst-reviewed ground truth bulletin for the same time period suggests that, by missing 6% fewer legitimate events while generating 11% fewer false events, IPF performs better than the pipeline currently in use at the IDC. Most of the additional events built by the Auto Analyst are low-magnitude events that evaded the traditional pipelines of event building. The Auto Analyst also adds additional signal detections to existing events, which saves analyst time, even if the event locations are not significantly affected.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.S53E0462T
- Keywords:
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- 3355 Regional modeling;
- ATMOSPHERIC PROCESSESDE: 1040 Radiogenic isotope geochemistry;
- GEOCHEMISTRYDE: 6620 Science policy;
- PUBLIC ISSUESDE: 7219 Seismic monitoring and test-ban treaty verification;
- SEISMOLOGY