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Characterisation of a well-type NaI(Tl) detector by means of a Monte Carlo simulation for radionuclide metrology application

Journal Article


Abstract


  • A well-type NaI(Tl) detector was modelled and characterised by means of a Monte Carlo simulation, as part of a project to develop a 4πβ (Plastic Scintillator)-4πγ instrument to be used for the primary standardisation of radionuclides at ANSTO. The simulation based on GEANT4 was used to characterise the 4πγ detector in terms of potential dead layer/inactive materials, full energy peak efficiency, coincidence-summing correction, and energy resolution. An excellent agreement was obtained between the simulation results and the experimental measurements.

Publication Date


  • 2021

Citation


  • Heranudin., Smith, M. L., van Wyngaardt, W. M., Guatelli, S., Li, E., & Rosenfeld, A. (2021). Characterisation of a well-type NaI(Tl) detector by means of a Monte Carlo simulation for radionuclide metrology application. Applied Radiation and Isotopes, 176. doi:10.1016/j.apradiso.2021.109889

Scopus Eid


  • 2-s2.0-85111967185

Volume


  • 176

Abstract


  • A well-type NaI(Tl) detector was modelled and characterised by means of a Monte Carlo simulation, as part of a project to develop a 4πβ (Plastic Scintillator)-4πγ instrument to be used for the primary standardisation of radionuclides at ANSTO. The simulation based on GEANT4 was used to characterise the 4πγ detector in terms of potential dead layer/inactive materials, full energy peak efficiency, coincidence-summing correction, and energy resolution. An excellent agreement was obtained between the simulation results and the experimental measurements.

Publication Date


  • 2021

Citation


  • Heranudin., Smith, M. L., van Wyngaardt, W. M., Guatelli, S., Li, E., & Rosenfeld, A. (2021). Characterisation of a well-type NaI(Tl) detector by means of a Monte Carlo simulation for radionuclide metrology application. Applied Radiation and Isotopes, 176. doi:10.1016/j.apradiso.2021.109889

Scopus Eid


  • 2-s2.0-85111967185

Volume


  • 176