• 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