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Title: False alarms and the IMS infrasound network: Understanding the factors influencing the creation of false events

Abstract

The International Monitoring System (IMS) infrasound network has been designed to acquire the necessary data to detect and locate explosions in the atmosphere with a yield equivalent to 1 kiloton of TNT anywhere on Earth. A major associated challenge is the task of automatically processing data from all IMS infrasound stations to identify possible nuclear tests for subsequent review by analysts. This paper is the first attempt to quantify the false alarm rate (FAR) of the IMS network, and in particular to assess how the FAR is affected by the numbers and distributions of detections at each infrasound station. To ensure that the results are sufficiently general, and not dependent entirely on one detection algorithm, the assessment is based on two detection algorithms that can be thought of as end members in their approach to the trade-off between missed detections and false alarms. The results show that the FAR for events formed at only two arrays is extremely high (ranging from 10’s to 100’s of false events per day across the IMS network, depending on the detector tuning). It is further shown that the FAR for events formed at three or more IMS arrays is driven by ocean-generated waves (microbaroms),more » despite efforts within both detection algorithms for avoiding these signals, indicating that further research into this issue is merited. Overall, the results highlight the challenge of processing data from a globally sparse network of stations to detect and form events. On the basis of these results, it is shown that further work on understanding signal and noise characteristics is needed before attempting to automatically form events detected at only two arrays on the global network. In particular, more work is required to reduce false alarms caused by the detection of microbarom signals.« less

Authors:
 [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
OSTI Identifier:
1466999
Report Number(s):
SAND-2017-13103J
Journal ID: ISSN 0956-540X; 659257
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Geophysical Journal International
Additional Journal Information:
Journal Volume: 215; Journal Issue: 2; Journal ID: ISSN 0956-540X
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; 97 MATHEMATICS AND COMPUTING; 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; Infrasound; Nuclear Explosion Monitoring; International Monitoring System

Citation Formats

Arrowsmith, Stephen J. False alarms and the IMS infrasound network: Understanding the factors influencing the creation of false events. United States: N. p., 2018. Web. doi:10.1093/gji/ggy350.
Arrowsmith, Stephen J. False alarms and the IMS infrasound network: Understanding the factors influencing the creation of false events. United States. https://doi.org/10.1093/gji/ggy350
Arrowsmith, Stephen J. Thu . "False alarms and the IMS infrasound network: Understanding the factors influencing the creation of false events". United States. https://doi.org/10.1093/gji/ggy350. https://www.osti.gov/servlets/purl/1466999.
@article{osti_1466999,
title = {False alarms and the IMS infrasound network: Understanding the factors influencing the creation of false events},
author = {Arrowsmith, Stephen J.},
abstractNote = {The International Monitoring System (IMS) infrasound network has been designed to acquire the necessary data to detect and locate explosions in the atmosphere with a yield equivalent to 1 kiloton of TNT anywhere on Earth. A major associated challenge is the task of automatically processing data from all IMS infrasound stations to identify possible nuclear tests for subsequent review by analysts. This paper is the first attempt to quantify the false alarm rate (FAR) of the IMS network, and in particular to assess how the FAR is affected by the numbers and distributions of detections at each infrasound station. To ensure that the results are sufficiently general, and not dependent entirely on one detection algorithm, the assessment is based on two detection algorithms that can be thought of as end members in their approach to the trade-off between missed detections and false alarms. The results show that the FAR for events formed at only two arrays is extremely high (ranging from 10’s to 100’s of false events per day across the IMS network, depending on the detector tuning). It is further shown that the FAR for events formed at three or more IMS arrays is driven by ocean-generated waves (microbaroms), despite efforts within both detection algorithms for avoiding these signals, indicating that further research into this issue is merited. Overall, the results highlight the challenge of processing data from a globally sparse network of stations to detect and form events. On the basis of these results, it is shown that further work on understanding signal and noise characteristics is needed before attempting to automatically form events detected at only two arrays on the global network. In particular, more work is required to reduce false alarms caused by the detection of microbarom signals.},
doi = {10.1093/gji/ggy350},
journal = {Geophysical Journal International},
number = 2,
volume = 215,
place = {United States},
year = {Thu Aug 23 00:00:00 EDT 2018},
month = {Thu Aug 23 00:00:00 EDT 2018}
}

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Works referenced in this record:

NET-VISA: Network Processing Vertically Integrated Seismic Analysis
journal, March 2013

  • Arora, N. S.; Russell, S.; Sudderth, E.
  • Bulletin of the Seismological Society of America, Vol. 103, Issue 2A
  • DOI: 10.1785/0120120107

Development of a robust and automated infrasound event catalogue using the International Monitoring System
journal, January 2015

  • Arrowsmith, S.; Euler, G.; Marcillo, O.
  • Geophysical Journal International, Vol. 200, Issue 3
  • DOI: 10.1093/gji/ggu486

GeoTess: A Generalized Earth Model Software Utility
journal, March 2016

  • Ballard, Sanford; Hipp, James; Kraus, Brian
  • Seismological Research Letters, Vol. 87, Issue 3
  • DOI: 10.1785/0220150222

Improved Bayesian Infrasonic Source Localization for regional infrasound
journal, October 2015

  • Blom, Philip S.; Marcillo, Omar; Arrowsmith, Stephen J.
  • Geophysical Journal International, Vol. 203, Issue 3
  • DOI: 10.1093/gji/ggv387

Automatic infrasonic signal detection using the Hough transform
journal, January 2008

  • Brown, David J.; Whitaker, Rodney; Kennett, Brian L. N.
  • Journal of Geophysical Research, Vol. 113, Issue D17
  • DOI: 10.1029/2008JD009822

An automatic seismic event processing for detection and location: The P.M.C.C. Method
journal, May 1995


A New Method for Producing Automated Seismic Bulletins: Probabilistic Event Detection, Association, and Location
journal, September 2015

  • Draelos, Timothy J.; Ballard, Sanford; Young, Christopher J.
  • Bulletin of the Seismological Society of America, Vol. 105, Issue 5
  • DOI: 10.1785/0120150099

Infrasonic forerunners: Exceptionally fast acoustic phases
journal, January 2007

  • Evers, L. G.; Haak, H. W.
  • Geophysical Research Letters, Vol. 34, Issue 10
  • DOI: 10.1029/2007GL029353

The spatial coherence structure of infrasonic waves: analysis of data from International Monitoring System arrays
journal, February 2015

  • Green, David N.
  • Geophysical Journal International, Vol. 201, Issue 1
  • DOI: 10.1093/gji/ggu495

Estimating the detection capability of the International Monitoring System infrasound network
journal, January 2010

  • Green, D. N.; Bowers, D.
  • Journal of Geophysical Research, Vol. 115, Issue D18
  • DOI: 10.1029/2010JD014017

Localization of microbarom sources using the IMS infrasound network: LOCALIZATION OF MICROBAROM SOURCES
journal, March 2012

  • Landès, Matthieu; Ceranna, Lars; Le Pichon, Alexis
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D6
  • DOI: 10.1029/2011JD016684

Coherent ambient infrasound recorded by the International Monitoring System: COHERENT AMBIENT INFRASOUND
journal, January 2013

  • Matoza, Robin S.; Landès, Matthieu; Le Pichon, Alexis
  • Geophysical Research Letters, Vol. 40, Issue 2
  • DOI: 10.1029/2012GL054329

A Bayesian framework for infrasound location
journal, April 2010


Semblance and Other Coherency Measures for Multichannel data
journal, June 1971

  • Neidell, N. S.; Taner, M. Turhan
  • GEOPHYSICS, Vol. 36, Issue 3
  • DOI: 10.1190/1.1440186

Sensitivity of the International Monitoring System infrasound network to elevated sources: a western Eurasia case study
journal, August 2017

  • Nippress, Alexandra; Green, David N.
  • Geophysical Journal International, Vol. 211, Issue 2
  • DOI: 10.1093/gji/ggx342

The radiation of atmospheric microbaroms by ocean waves
journal, May 2006

  • Waxler, Roger; Gilbert, Kenneth E.
  • The Journal of the Acoustical Society of America, Vol. 119, Issue 5
  • DOI: 10.1121/1.2191607

Works referencing / citing this record:

Assessing middle atmosphere weather models using infrasound detections from microbaroms
journal, December 2018

  • Hupe, Patrick; Ceranna, Lars; Pilger, Christoph
  • Geophysical Journal International, Vol. 216, Issue 3
  • DOI: 10.1093/gji/ggy520