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 »
- Authors:
-
- 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}
}
Web of Science
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