• DocumentCode
    2627617
  • Title

    Surveillance of nuclear threats using multiple, autonomous detection units

  • Author

    Neuer, Marcus J. ; Ruhnau, Kai ; Ruhnau, Arne ; Lentering, Ralf ; Pausch, Guntram ; Platte, Frank ; Stein, Juergen

  • Author_Institution
    ICx Technologies GmbH., Piepersberg 12, D-42653 Solingen, Germany
  • fYear
    2008
  • fDate
    19-25 Oct. 2008
  • Firstpage
    3324
  • Lastpage
    3329
  • Abstract
    A detection systems is presented that involves multiple autonomous detectors, which are merged to a net like structure. Each unit is equipped with a stabilized and linearized multichannel analyzer for the measurement of gamma spectra and optionally a He3 neutron detector. The flexible hard- and software architecture allows the simple integration of a variable number of detectors, even with different volumes. With this technique, spectroscopical screening of large areas, e.g. airports or comparably sensitive objects, can be established by an individual combination of these detectors. The general outline of the nuclide identification algorithm is presented. In the context of medical isotopes, the importance of correct reference data that incorporates the scattering effects of human bodies is clarified. A special focus is drawn to the localization of nuclear sources. The model, corresponding simulations and its applications are depicted. Different tests and verification measures are described that refer to the nuclide identification and the source localization as well as to the spectral quality of the detectors. A finished real application is presented that combines the tested algorithms and has proven its reliability on different occasions.
  • Keywords
    Airports; Gamma ray detection; Gamma ray detectors; Helium; Neutrons; Object detection; Software architecture; Spectroscopy; Surveillance; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
  • Conference_Location
    Dresden, Germany
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-2714-7
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2008.4775056
  • Filename
    4775056