Abstract
The automated processing of multiple seismic signals to detect and local- ize seismic events is a central tool in both geophysics and nuclear treaty verification. Thispaper reports onaproject begunin2009 toreformulate thisprobleminaBayesian framework. A Bayesian seismic monitoring system, NET-VISA, has been built com- prising a spatial event prior and generative models of event transmission and detection, aswellasaninferencealgorithm.Theprobabilisticmodelallowsforseamlessintegration of various disparate sources of information. Applied in the context of the International Monitoring System (IMS), a global sensor network developed for the Comprehensive Nuclear Test Ban Treaty (CTBT), NET-VISA achieves a reduction of around 60% in the number of missed events compared with the currently deployed system. It also finds events that are missed by the human analysts who postprocess the IMS output.
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