Cebastien Joel Guembou Shouop, Maurice Ndontchueng Moyo, Eric Jilbert Nguelem Mekongtso, Ousmanou Motapon, David Strivay
Atomic and Nuclear Spectroscopy, Archeometry, University of Liège, Bat. B15 Sart Tilman, 4000, Liege 1, Belgium; Fundamental Physics Laboratory, Mathematics, Applied Computer Sciences and Fundamental Physics, University of Douala, P.O.Box 24157 Douala, Cameroon; National Radiation Protection Agency, P.O. Box 33732, Yaounde, Cameroon.
National Radiation Protection Agency, P.O. Box 33732, Yaounde, Cameroon; Department of Physics, Faculty of Science, University of Douala, P.O. Box 24157, Douala, Cameroon.
J Environ Radioact. 2018 Sep;189:109-119. doi: 10.1016/j.jenvrad.2018.03.015. Epub 2018 Apr 10.
The combination of gamma-ray spectrometry, the development of related Monte Carlo method and the GEANT4 (GEometry ANd Tracking) toolkit have been developed for gamma spectrometry simulation. The main objective was to validate simulation models of broad energy germanium (BEGe) detector geometry built in our laboratory (BE6530 model). Monte Carlo simulation of the geometry of BE6530 detector for efficiency calibration was carried out with GEANT4 toolkit. The simulated efficiencies curves using MC were compared with experimental results. Measurement uncertainties for both simulation and experimental estimations of the efficiency were assessed in order to see whether the consequences of the realistic measurement fall inside adequate cut-off points. The validation of the simulation was carried out by experimentally estimating the activity concentration in a reference sample and the comparison showed good correlation between experimental and simulation. Therefore, from the outcomes of this study, it can be concluded that Monte-Carlo simulation is a helpful, reasonable option that additionally gives more prominent adaptability, greater flexibility, precision and accuracy, and gained time when determining the detector response and efficiency in routine of environmental radioactivity monitoring.
伽马射线能谱法、相关蒙特卡罗方法的发展以及GEANT4（几何与跟踪）工具包已被开发用于伽马能谱模拟。主要目的是验证在我们实验室构建的宽能锗（BEGe）探测器几何结构的模拟模型（BE6530模型）。使用GEANT4工具包对BE6530探测器的几何结构进行蒙特卡罗模拟以进行效率校准。将使用蒙特卡罗方法模拟的效率曲线与实验结果进行比较。评估了效率模拟和实验估计的测量不确定度，以查看实际测量结果是否落在适当的截止点范围内。通过实验估计参考样品中的活度浓度对模拟进行验证，比较结果表明实验与模拟之间具有良好的相关性。因此，从本研究的结果可以得出结论，蒙特卡罗模拟是一种有用且合理的选择，在确定环境放射性监测常规工作中的探测器响应和效率时，它还具有更强的适应性、更大的灵活性、更高的精度和准确性，并且节省了时间。
