Multi-detection events, probability density functions, and reduced location area

Several efforts have been made in the Comprehensive Nuclear-Test-Ban Treaty (CTBT) community to assess the benefits of combining detections of radionuclides to improve the location estimates available from atmospheric transport modeling (ATM) backtrack calculations. We present a Bayesian estimation...

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Published in:Journal of radioanalytical and nuclear chemistry 2016-03, Vol.307 (3), p.1599-1605
Main Authors: Eslinger, Paul W., Schrom, Brian T.
Format: Article
Language:English
Subjects:
atmospheric modeling
Chemistry
Chemistry and Materials Science
CTBTO
Diagnostic Radiology
Hadrons
Heavy Ions
Inorganic Chemistry
Nuclear Chemistry
nuclear explosion detection
Nuclear Physics
ource-term estimation
Physical Chemistry
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cited_by cdi_FETCH-LOGICAL-c354t-73502011361a406050205363af3691204a2cf62b05fa129f311ebee3f52620f93
cites cdi_FETCH-LOGICAL-c354t-73502011361a406050205363af3691204a2cf62b05fa129f311ebee3f52620f93
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container_title Journal of radioanalytical and nuclear chemistry
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description Several efforts have been made in the Comprehensive Nuclear-Test-Ban Treaty (CTBT) community to assess the benefits of combining detections of radionuclides to improve the location estimates available from atmospheric transport modeling (ATM) backtrack calculations. We present a Bayesian estimation approach rather than a simple dilution field of regard approach to allow xenon detections and non-detections to be combined mathematically. This system represents one possible probabilistic approach to radionuclide event formation. Application of this method to a recent interesting radionuclide event shows a substantial reduction in the location uncertainty of that event.
doi_str_mv 10.1007/s10967-015-4339-3
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subjects atmospheric modeling
Chemistry
Chemistry and Materials Science
CTBTO
Diagnostic Radiology
Hadrons
Heavy Ions
Inorganic Chemistry
Nuclear Chemistry
nuclear explosion detection
Nuclear Physics
ource-term estimation
Physical Chemistry
title Multi-detection events, probability density functions, and reduced location area
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