• DocumentCode
    1752097
  • Title

    Study of neutron detection efficiencies for liquid organic scintillator up to 3 GeV

  • Author

    Daiki, Satoh ; Nobuhiro, Shigyo ; Yousuke, Iwamoto ; Hirohiko, Kitsuki ; Kenji, Ishibashi

  • Author_Institution
    Kyushu Univ., Fukuoka, Japan
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Abstract
    The Monte Carlo code, designated SCINFUL-QMD, is developed to calculate the neutron detection efficiency up to 3 GeV for liquid organic scintillator such as NE-213. The existing Monte Carlo code, SCINFUL, is known to reproduce the response function and detection efficiency at incident neutron energies below 80 MeV. We incorporate the quantum molecular dynamics plus statistical decay model (QMD+SDM) into SCINFUL to extend the upper limit of incident neutron energy to 3 GeV. The tabulated cross sections adopted in SCINFUL are extrapolated up to 150 MeV, and the QMD+SDM method is used above 150 MeV. The results of SCINFUL-QMD are compared with the experimental data and those of another computation code CECIL. At lower energies below 20 MeV, the results of SCINFUL-QMD agree with the experimental data. At higher energies, this code gives small values than the experimental data. SCINFUL-QMD exhibits the increase in detection efficiency above 300 MeV. This result is achieved by taking charged pion production into account
  • Keywords
    Monte Carlo methods; liquid scintillation detectors; neutron detection; Monte Carlo code; NE-213; charged pion production; detection efficiency; liquid organic scintillator; neutron detection efficiencies; neutron detection efficiency; quantum molecular dynamics plus statistical decay model; response function; tabulated cross sections; Acceleration; Helium; Iron; Mesons; Monte Carlo methods; Neutrons; Particle beams; Particle production; Radioactive pollution; Solids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2000 IEEE
  • Conference_Location
    Lyon
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-6503-8
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2000.949169
  • Filename
    949169