• DocumentCode
    766993
  • Title

    GEANT simulation of the gamma nuclear gauge

  • Author

    Ouardi, A. ; Benchekroun, D. ; Hoummada, A. ; Alami, R.

  • Author_Institution
    Lab. de Phys. Nucl., Univ. Hassan, Casablanca, Morocco
  • Volume
    50
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1257
  • Lastpage
    1270
  • Abstract
    The gamma nuclear gauging technique used for monitoring the sediment load suspended in water, is based on the detection of γ rays emitted by a radioactive source. The GEANT321 Monte Carlo simulation tool, originally developed at CERN for high energy physics experiments, is used for the evaluation and calibration of gamma nuclear gauges. A set of parameters, principally the source energy, the source-detector separation, the lead block thickness and the energy threshold below which the sediments elemental composition affects the measurement or the energy corresponding to the Compton and photoelectric windows separation, are discussed and evaluated in the case of the gamma scattering gauge. For the gamma transmission gauge, the GEANT321 code has been used to define the optimal source detector distance interval, particularly for the Moroccan sediment samplers, and to check the influence of the radionuclide existing in the suspension, on the gauge response accuracy. Experimental calibration was also carried out using a gamma transmission gauge and a good agreement was found between experimental and simulated results.
  • Keywords
    Monte Carlo methods; calibration; gamma-ray apparatus; geophysical techniques; sediments; GEANT321; Monte Carlo; Morocco; calibration; gamma nuclear gauge; gamma transmission gauge; sediment; Calibration; Energy measurement; Gamma ray detection; Gamma ray detectors; Lead; Monitoring; Scattering parameters; Sediments; Thickness measurement; Water resources;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2003.814941
  • Filename
    1221952