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Title: Sequential Detection of Fission Processes for Harbor Defense

Abstract

With the large increase in terrorist activities throughout the world, the timely and accurate detection of special nuclear material (SNM) has become an extremely high priority for many countries concerned with national security. The detection of radionuclide contraband based on their γ-ray emissions has been attacked vigorously with some interesting and feasible results; however, the fission process of SNM has not received as much attention due to its inherent complexity and required predictive nature. In this paper, on-line, sequential Bayesian detection and estimation (parameter) techniques to rapidly and reliably detect unknown fissioning sources with high statistical confidence are developed.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1184165
Report Number(s):
LLNL-CONF-667661
DOE Contract Number:  
DE-AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: OCEANS'15, Genova, Italy, May 18 - May 21, 2015
Country of Publication:
United States
Language:
English
Subject:
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats

Candy, J V, Walston, S E, and Chambers, D H. Sequential Detection of Fission Processes for Harbor Defense. United States: N. p., 2015. Web.
Candy, J V, Walston, S E, & Chambers, D H. Sequential Detection of Fission Processes for Harbor Defense. United States.
Candy, J V, Walston, S E, and Chambers, D H. Thu . "Sequential Detection of Fission Processes for Harbor Defense". United States. doi:. https://www.osti.gov/servlets/purl/1184165.
@article{osti_1184165,
title = {Sequential Detection of Fission Processes for Harbor Defense},
author = {Candy, J V and Walston, S E and Chambers, D H},
abstractNote = {With the large increase in terrorist activities throughout the world, the timely and accurate detection of special nuclear material (SNM) has become an extremely high priority for many countries concerned with national security. The detection of radionuclide contraband based on their γ-ray emissions has been attacked vigorously with some interesting and feasible results; however, the fission process of SNM has not received as much attention due to its inherent complexity and required predictive nature. In this paper, on-line, sequential Bayesian detection and estimation (parameter) techniques to rapidly and reliably detect unknown fissioning sources with high statistical confidence are developed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 12 00:00:00 EST 2015},
month = {Thu Feb 12 00:00:00 EST 2015}
}

Conference:
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