Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Global seismic monitoring as probabilistic inference

Nimar S Arora, Stuart J. Russell, Paul Kidwell and Erik Sudderth

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2010-108
July 7, 2010

http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-108.pdf

The International Monitoring System (IMS) is a global network of sensors whose purpose is to identify potential violations of the Comprehensive Nuclear-Test-Ban Treaty (CTBT), primarily through detection and localization of seismic events. We report on the first stage of a project to improve on the current automated software system with a Bayesian inference system that computes the most likely global event history given the record of local sensor data. The new system, VISA (Vertically Integrated Seismological Analysis), is based on empirically calibrated, generative models of event occurrence, signal propagation, and signal detection. VISA exhibits significantly improved precision and recall compared to the current operational system and is able to detect events that are missed even by the human analysts who post-process the IMS output.


BibTeX citation:

@techreport{Arora:EECS-2010-108,
    Author = {Arora, Nimar S and Russell, Stuart J. and Kidwell, Paul and Sudderth, Erik},
    Title = {Global seismic monitoring as probabilistic inference},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2010},
    Month = {Jul},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-108.html},
    Number = {UCB/EECS-2010-108},
    Abstract = {The International Monitoring System (IMS) is a global
network of sensors whose purpose is to identify potential
violations of the Comprehensive Nuclear-Test-Ban Treaty
(CTBT), primarily through detection and localization of
seismic events. We report on the first stage of a project to
improve on the current automated software system with a
Bayesian inference system that computes the most likely
global event history given the record of local sensor
data. The new system, VISA (Vertically Integrated
Seismological Analysis), is based on empirically calibrated,
generative models of event occurrence, signal propagation,
and signal detection. VISA exhibits significantly improved
precision and recall compared to the current operational
system and is able to detect events that are missed even by
the human analysts who post-process the IMS output.}
}

EndNote citation:

%0 Report
%A Arora, Nimar S
%A Russell, Stuart J.
%A Kidwell, Paul
%A Sudderth, Erik
%T Global seismic monitoring as probabilistic inference
%I EECS Department, University of California, Berkeley
%D 2010
%8 July 7
%@ UCB/EECS-2010-108
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-108.html
%F Arora:EECS-2010-108