An inversion decomposition test based on MonteCarlo response matrix on the γ-ray spectra from NaI(Tl) scintillation detector
An inversion decomposition test based on MonteCarlo response matrix on the γ-ray spectra from NaI(Tl) scintillation detector
复制标题
基于蒙特卡罗响应矩阵的 NaI(Tl) 闪烁探测器γ射线光谱的反演分解试验
DOI：
10.1007/s41365-016-0104-8
复制
发表时间：
2016
影响因子：
2.8
通讯作者：
QU Jinhui
中科院分区：
文献类型：
--
作者：
HE Jianfeng;WU Qifan;CHENG Jianping;FANG Fang;YANG Yaozong;QU Jinhui
NaI(Tl)闪烁探测器具有用途广泛、光产额高、价格低廉等一系列独特的优点。由于NaI(Tl)闪烁探测器能量分辨率的限制，很难得到仪器响应谱的分解。基于衰变核素释放γ光子的物理过程，产生仪器响应谱，用蒙特卡罗方法模拟了γ光子与NaI(Tl)闪烁探测器的相互作用。利用具有探测器效应的不同单能γ射线建立了蒙特卡罗响应矩阵。本文还采用了Gold迭代算法和改进的Boosted-Gold迭代算法，通过模拟多特征能量γ-射线谱和模拟合成重叠峰γ-射线谱的分解试验，求出了响应矩阵参数。在响应矩阵下，可以实现对被测样品(U系列、Th系列和U-Th混合源等)的γ仪器响应谱的反演分解。分解谱能较好地区分相似的能量特征峰，改善了重叠峰引起的活度分析误差水平，效果显著。
The NaI(Tl) scintillation detector has a number of unique advantages, including wide use, high light yield, and its low price. It is difficult to obtain the decomposition of instrument response spectrum because of limitations associated with the NaI(Tl) scintillation detector’s energy resolution. This paper, based on the physical process of γ photons released from decay nuclides, generating an instrument response spectrum, uses the Monte Carlo method to simulate γ photons with NaI(Tl) scintillation detector interaction. The Monte Carlo response matrix is established by different single energy γ-rays with detector effects. The Gold and the improved Boosted-Gold iterative algorithms have also been used in this paper to solve the response matrix parameters through decomposing tests, such as simulating a multi-characteristic energy γ-ray spectrum and simulating synthesized overlapping peaks γ-ray spectrum. An inversion decomposition of the γ instrument response spectrum for measured samples (U series, Th series and U–Th mixed sources, among others) can be achieved under the response matrix. The decomposing spectrum can be better distinguished between the similar energy characteristic peaks, which improve the error levels of activity analysis caused by the overlapping peak with significant effects.