Speaker
Description
Passive Seismic Monitoring (PSM) is the only geophysical technique allowed by the CTBT during the initial period of an On-Site Inspection. The goal is to reveal even the smallest expectable aftershocks of an underground nuclear explosion to the inspection team to locate the test site to the precision of a few hundreds of meters. With the full PSM network of some 50 small arrays deployed, M$_l$ -2 events can be discovered and located in the whole inspection area using the method of Nanoseismic Monitoring.
However, due to time constraints and difficult terrain, a full deployment may not be feasible. We showcase how using the same principles of Nanoseismic Monitoring, a sparse but well designed network can perform and locate smallest aftershocks. We also present a computationally efficient AI method utilizing image recognition specifically designed for detecting such events when large sets of training data for standard machine learning is not available.
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