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Title: Maximum Likelihood Source Localization Using Elpasolite as a Dual Gamma Neutron Directional Detector

Abstract

The problem of accurately detecting extremely low levels of nuclear radiation is rapidly increasing in importance in nuclear counter-proliferation, verification, and environmental and waste management. Because the 239Pu gamma signature may be weak, for instance, even when compared to the natural terrestrial background, coincidence counting with the 239Pu neutron signature may improve overall 239Pu detection sensitivity. However, systems with sufficient multiple-particle detectors require demonstration that the increased sensitivity be sufficiently high to overcome added cost and weight. We report the results of measurements and calculations to determine sensitivity that can be gained in detecting low levels of nuclear radiation from use of a relatively new detector technology based on elpasolite crystals. We have performed investigations exploring cerium (Ce3+)-doped elpasolites Cs2LiYCl6:Ce3+0.5% (CLYC) and Cs2LiLa(Br6)90%(Cl6)10%:Ce3+0.5% (CLLBC:Ce). These materials can provide energy resolution (r(E) = 2.35σ(E)/E) as good as 2.9% at 662 keV (FWHM). The crystals show an excellent neutron and gamma radiation response. The goals of the investigation were to set up the neutron/gamma pulse shape discrimination electronics for elpasolite detectors; perform limited static source benchmarking, testing, and evaluation to validate system performance; and explore application of a maximum likelihood algorithm for source location. Data were measured and processed through a maximummore » likelihood estimation algorithm, providing a direction to the radioactive source for each individual position. The estimated directions were good representations for the actual directions to the radioactive source. This paper summarizes the maximum likelihood results for our elpasolite system.« less

Authors:
 [1];  [1];  [2];  [3];  [3];  [3]
  1. Remote Sensing Lab. (RSL), Nellis AFB, Las Vegas, NV (United States)
  2. Remote Sensing Lab. (RSL), Andrews AFB, Maryland (United States)
  3. University of Nevada, Las Vegas
Publication Date:
Research Org.:
Nevada Test Site/National Security Technologies, LLC (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1241549
Report Number(s):
DOE/NV/25946-2408
DOE Contract Number:  
DE-AC52-06NA25946
Resource Type:
Conference
Journal Name:
Proc. SPIE 9595, Radiation Detectors: Systems and Applications XVI, 959502 (27 August 2015); doi: 10.1117/12.2186179
Additional Journal Information:
Journal Volume: 9595; Conference: SPIE Conference on Radiation Detectors: Systems and Applications XVI San Diego, CA August 8 - 11, 2015 http://spie.org/OP15O/conferencedetails/radiation-detectors
Country of Publication:
United States
Language:
English
Subject:
maximum likelihood, radiation detectors, neutron detectors, scintillators, elpasolites, energy resolution, pulse shape discrimination, gamma, neutron

Citation Formats

Guss, Paul P., Stampahar, Thomas G., Mukhopadhyay, Sanjoy, Barzilov, Alexander, Barzilov, Alexaner, and Guckes, Amber L. Maximum Likelihood Source Localization Using Elpasolite as a Dual Gamma Neutron Directional Detector. United States: N. p., 2015. Web. doi:10.1117/12.2186179.
Guss, Paul P., Stampahar, Thomas G., Mukhopadhyay, Sanjoy, Barzilov, Alexander, Barzilov, Alexaner, & Guckes, Amber L. Maximum Likelihood Source Localization Using Elpasolite as a Dual Gamma Neutron Directional Detector. United States. doi:10.1117/12.2186179.
Guss, Paul P., Stampahar, Thomas G., Mukhopadhyay, Sanjoy, Barzilov, Alexander, Barzilov, Alexaner, and Guckes, Amber L. Sat . "Maximum Likelihood Source Localization Using Elpasolite as a Dual Gamma Neutron Directional Detector". United States. doi:10.1117/12.2186179. https://www.osti.gov/servlets/purl/1241549.
@article{osti_1241549,
title = {Maximum Likelihood Source Localization Using Elpasolite as a Dual Gamma Neutron Directional Detector},
author = {Guss, Paul P. and Stampahar, Thomas G. and Mukhopadhyay, Sanjoy and Barzilov, Alexander and Barzilov, Alexaner and Guckes, Amber L.},
abstractNote = {The problem of accurately detecting extremely low levels of nuclear radiation is rapidly increasing in importance in nuclear counter-proliferation, verification, and environmental and waste management. Because the 239Pu gamma signature may be weak, for instance, even when compared to the natural terrestrial background, coincidence counting with the 239Pu neutron signature may improve overall 239Pu detection sensitivity. However, systems with sufficient multiple-particle detectors require demonstration that the increased sensitivity be sufficiently high to overcome added cost and weight. We report the results of measurements and calculations to determine sensitivity that can be gained in detecting low levels of nuclear radiation from use of a relatively new detector technology based on elpasolite crystals. We have performed investigations exploring cerium (Ce3+)-doped elpasolites Cs2LiYCl6:Ce3+0.5% (CLYC) and Cs2LiLa(Br6)90%(Cl6)10%:Ce3+0.5% (CLLBC:Ce). These materials can provide energy resolution (r(E) = 2.35σ(E)/E) as good as 2.9% at 662 keV (FWHM). The crystals show an excellent neutron and gamma radiation response. The goals of the investigation were to set up the neutron/gamma pulse shape discrimination electronics for elpasolite detectors; perform limited static source benchmarking, testing, and evaluation to validate system performance; and explore application of a maximum likelihood algorithm for source location. Data were measured and processed through a maximum likelihood estimation algorithm, providing a direction to the radioactive source for each individual position. The estimated directions were good representations for the actual directions to the radioactive source. This paper summarizes the maximum likelihood results for our elpasolite system.},
doi = {10.1117/12.2186179},
journal = {Proc. SPIE 9595, Radiation Detectors: Systems and Applications XVI, 959502 (27 August 2015); doi: 10.1117/12.2186179},
number = ,
volume = 9595,
place = {United States},
year = {2015},
month = {8}
}

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