DocumentCode
3324007
Title
Simulation and modeling for the Stand-Off Radiation Detection System (SORDS) using GEANT4
Author
Hoover, Andrew ; Wallace, Mark ; Galassi, Mark ; Mocko, Michal ; Palmer, David ; Schultz, Larry ; Tornga, Shawn
Author_Institution
Los Alamos Nat. Lab., Los Alamos, NM, USA
fYear
2009
fDate
Oct. 24 2009-Nov. 1 2009
Firstpage
914
Lastpage
917
Abstract
A Stand-Off Radiation Detection System (SORDS) is being developed through a joint effort by Raytheon, Los Alamos National Laboratory, Bubble Technology Industries, Radiation Monitoring Devices, and the Massachusetts Institute of Technology, for the Domestic Nuclear Detection Office (DNDO). The system is a mobile truck-based platform performing detection, imaging, and spectroscopic identification of gamma-ray sources. A Tri-Modal Imaging (TMI) approach combines active-mask coded aperture imaging, Compton imaging, and shadow imaging techniques. Monte Carlo simulation and modeling using the GEANT4 toolkit was used to generate realistic data for the development of imaging algorithms and associated software code.
Keywords
Compton effect; Monte Carlo methods; gamma-ray detection; particle detectors; Bubble Technology Industries; Compton imaging; Domestic Nuclear Detection Office; GEANT4 toolkit; Los Alamos National Laboratory; Massachusetts Institute of Technology; Monte Carlo simulation; Radiation Monitoring Devices; Raytheon; SORDS; Stand-Off Radiation Detection System; active-mask coded aperture imaging; gamma-ray sources; mobile truck-based platform; shadow imaging; tri-modal imaging approach; Apertures; Gamma ray detection; Gamma ray detectors; Nuclear power generation; Optical imaging; Radiation detectors; Radiation monitoring; Software algorithms; Software tools; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
Conference_Location
Orlando, FL
ISSN
1095-7863
Print_ISBN
978-1-4244-3961-4
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2009.5401562
Filename
5401562
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