引用本文格式: 李自维,白立新,张一云. 不确定度评价方法在高纯锗探测器参数修正中的应用 [J]. 四川大学学报: 自然科学版, 2020, 57: .
 
不确定度评价方法在高纯锗探测器参数修正中的应用
Application of uncertainty evaluation method in parameter correction of high-purity germanium detector
摘要点击 239  全文点击 31  投稿时间:2019-04-22  修订日期:2019-05-07
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DOI编号   
中文关键词   不确定度评价方法  高纯锗探测器  探测效率  敏感性分析
英文关键词   Monte Carlo method  High-purity germanium detector  Detection efficiency  Sensitivity analysis
基金项目   
作者单位E-mail
李自维 四川大学物理学院 ziweilee812@163.com 
白立新 四川大学物理学院 blx.scu@163.com 
张一云 四川大学物理学院  
Author NameAffiliationE-mail
LI Zi-Wei College of Physics, Sichuan University ziweilee812@163.com 
BAI Li-Xin College of Physics, Sichuan University blx.scu@163.com 
ZHANG Yi-Yun College of Physics, Sichuan University  
中文摘要
    将统计性不确定度评价方法应用到高纯锗(HPGe)探测器参数的标定和修正工作中. 结合蒙特卡洛模拟和统计性不确定度评价方法,分析探测器参数在探测效率模拟结果中的相对重要性,对重要参数同时进行多次简单蒙卡抽样,模拟计算探测器对多空间点多γ源的探测效率,找出真实效率与模拟效率的最小偏差,即能确定最佳探测器参数. 结果表明,此方法修正探测器参数后,对60Co,137Cs, 241Am源在标定点的模拟效率与真实效率相对误差均小于0.5%,在3个验证点的模拟效率与真实效率相对误差均小于0.5%.
英文摘要
    In view of the defect of commonly used method for correcting the parameters of high-purity germanium (HPGe) detector, a new correction method based on statistical uncertainty analysis and Monte Carlo simulation is proposed. The relative importance of the parameters of HPGe detector in the simulation results is analyzed, to find important parameters. The Simple Monte Carlo sampling of important parameters is conducted thousands times, from which the sampled values are used as the detector model's parameters. Then the detection efficiencies of the detector for multiple γ sources located at different spatial points are simulated via Monte Carlo N-Particle Transport Code, Version 5(MCNP5). The best parameters of detector can be determined by the minimum deviation between true efficiencies and simulation efficiencies. Take these best parameters as the detector model’s parameters, the results show that the relative errors between the simulation efficiencies and the true efficiencies for the sources 60Co, 137Cs, 241Am at the calibration points are all less than 0.5%, the relative errors between the simulation efficiencies and the true efficiencies at 3 verification points are all less than 0.5%.

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