核素识别仪中的自适应变换宽度SNIP算法开发
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摘要
研究了一种应用于γ散射本底扣除的改进型非线性迭代剥峰算法(Statistics-sensitive Nonlinear Iterative Peak-clipping,SNIP)方法,该方法拟合了峰宽与能量的关系,并通过该关系实时获取峰宽,实现了变换宽度自适应,改善了固定峰宽无法对全谱的散射本底进行准确扣除的缺陷。实验结果表明:本文提出的自适应变换峰宽SNIP算法结构简单,动态效果好,与传统和其他改进的SNIP算法相比,γ能谱的散射本底扣除效果得到了进一步改善,并可以达到优化核素识别的效果,为核素识别方法提供了更多的选择。
[Background] Clipping the scattering background of γ-ray spectrum is one of the important issues in theγ-ray spectrum analysis process. At present, there are many research results in the scattering background clipping methods. Statistically sensitive nonlinear iterative peak-clipping(SNIP) is an ideal choice. However, the original SNIP algorithm uses a fixed width for background clipping, which will cause considerable errors, so researchers have made some improvements to this defect. [Purpose] This study aims to improve the SNIP algorithm to better solve the problem of the original SNIP algorithm, and the improved SNIP algorithms proposed by other researchers.[Methods] First of all, dozens of spectrums measured by different radioactive sources were analyzed and used to obtain the functional relationship between peak width and energy. Then, the function was written into the computer program of SNIP algorithm, so that the width could be calculated instantly. Finally, after the spectrum width was obtained, the remaining SNIP calculation continued to complete the scattering background clipping of the spectrum.[Results] The experimental results show that the adaptive width SNIP algorithm can accurately clip the scattering background of spectrum with advantages of simple structure and good in dynamic effect. [Conclusions] This method can be used to optimize the effect of nuclides identification by accurate calculation of the net peak area providing more choices for nuclides identification instrument.
[Background] Clipping the scattering background of γ-ray spectrum is one of the important issues in theγ-ray spectrum analysis process. At present, there are many research results in the scattering background clipping methods. Statistically sensitive nonlinear iterative peak-clipping(SNIP) is an ideal choice. However, the original SNIP algorithm uses a fixed width for background clipping, which will cause considerable errors, so researchers have made some improvements to this defect. [Purpose] This study aims to improve the SNIP algorithm to better solve the problem of the original SNIP algorithm, and the improved SNIP algorithms proposed by other researchers.[Methods] First of all, dozens of spectrums measured by different radioactive sources were analyzed and used to obtain the functional relationship between peak width and energy. Then, the function was written into the computer program of SNIP algorithm, so that the width could be calculated instantly. Finally, after the spectrum width was obtained, the remaining SNIP calculation continued to complete the scattering background clipping of the spectrum.[Results] The experimental results show that the adaptive width SNIP algorithm can accurately clip the scattering background of spectrum with advantages of simple structure and good in dynamic effect. [Conclusions] This method can be used to optimize the effect of nuclides identification by accurate calculation of the net peak area providing more choices for nuclides identification instrument.
引文
1庞巨丰.γ能谱数据分析[M].山西:山西科学技术出版社,1990.PANG Jufeng.Data processing of gamma-ray spectra[M].Shanxi:Shanxi Science and Technology Publishing Company,1990.
2刘永刚.γ能谱谱数据分解方法研究[D].北京:中国地质大学(北京),2011.LIU Yonggang.Research on decomposition method ofγspectrometer[D].Beijing:China University of Geosciences,2011.
3 Omer M.Analysis of SNIP algorithm for background estimation in spectra measured with LaBr3:Ce detectors[C].Zero-Carbon Energy Kyoto 2012,Tokyo.Springer:245?252.DOI:10.1007/978-4-431-54264-3_27.
4 Morhá?M.An algorithm for determination of peak regions and baseline elimination in spectroscopic data[J].Nuclear Instruments and Methods in Physics Research Section A,2009,600(2):478?487.DOI:10.1016/j.nima.2008.11.132.
5吴和喜,刘庆成,杨波,等.SNIP法在天然放射性核素γ能谱分析中的应用[J].核技术,2010,33(7):513?516.WU Hexi,LIU Qingcheng,YANG Bo,et al.SNIPalgoritms applied to analyzeγ-ray spectra of natural radioactivity nuclides[J].Nuclear Techniques,2010,33(7):513?516.
6龙斌,冯天成,苏川英,等.一种γ能谱散射本底的自适应扣除方法[J].核电子学与探测技术,2013,33(10):1293?1296.DOI:10.3969/j.issn.0258-0934.2013.10.031.LONG Bin,FENG Tiancheng,SU Chuanying,et al.a self-adaptive method for the clipping of scatter background ofγspectrum[J].Nuclear Electronics&Detection Technology,2013,33(10):1293?1296.DOI:10.3969/j.issn.0258-0934.2013.10.031.
7张于鹏,肖小玲,张翔,等.扩大变换宽度SNIP算法本底扣除研究[J].能源与环保,2017,39(3):143?146.DOI:10.19389/j.cnki.1003-0506.2017.03.030.ZHANG Yupeng,XIAO Xiaoling,ZHANG Xiang,et al.Research on elimination background by extending clipping window of snip algorithm[J].China Energy and Environment Protection,2017,39(3):143?146.DOI:10.19389/j.cnki.1003-0506.2017.03.030.
8王一鸣,魏义祥.用于γ全谱基线扣除的改进SNIP算法研究[J].核电子学与探测技术,2012,32(12):1356?1359.DOI:10.3969/j.issn.0258-0934.2012.12.002.WANG Yiming,WEI Yixiang.Baseline elimination method forγ-ray spectra based on improved snip algorithm[J].Nuclear Electronics&Detection Technology,2012,32(12):1356?1359.DOI:10.3969/j.issn.0258-0934.2012.12.002.
9尹旺明,刘宏章,汤彬.基于SNIP算法扣除γ能谱本底的探讨及应用[J].东华理工大学学报(自然科学版),2009,32(3):245?248.DOI:10.3969/j.issn.1674-3504.2009.03.010.YIN Wangming,LIU Hongzhang,TANG Bin.Discussion and application of eliminating the background inγ-ray spectrum by SNIP algorithm[J].Journal of East China Unibersity of Technology(Natural Science),2009,32(3):245?248.DOI:10.3969/j.issn.1674-3504.2009.03.010.
2刘永刚.γ能谱谱数据分解方法研究[D].北京:中国地质大学(北京),2011.LIU Yonggang.Research on decomposition method ofγspectrometer[D].Beijing:China University of Geosciences,2011.
3 Omer M.Analysis of SNIP algorithm for background estimation in spectra measured with LaBr3:Ce detectors[C].Zero-Carbon Energy Kyoto 2012,Tokyo.Springer:245?252.DOI:10.1007/978-4-431-54264-3_27.
4 Morhá?M.An algorithm for determination of peak regions and baseline elimination in spectroscopic data[J].Nuclear Instruments and Methods in Physics Research Section A,2009,600(2):478?487.DOI:10.1016/j.nima.2008.11.132.
5吴和喜,刘庆成,杨波,等.SNIP法在天然放射性核素γ能谱分析中的应用[J].核技术,2010,33(7):513?516.WU Hexi,LIU Qingcheng,YANG Bo,et al.SNIPalgoritms applied to analyzeγ-ray spectra of natural radioactivity nuclides[J].Nuclear Techniques,2010,33(7):513?516.
6龙斌,冯天成,苏川英,等.一种γ能谱散射本底的自适应扣除方法[J].核电子学与探测技术,2013,33(10):1293?1296.DOI:10.3969/j.issn.0258-0934.2013.10.031.LONG Bin,FENG Tiancheng,SU Chuanying,et al.a self-adaptive method for the clipping of scatter background ofγspectrum[J].Nuclear Electronics&Detection Technology,2013,33(10):1293?1296.DOI:10.3969/j.issn.0258-0934.2013.10.031.
7张于鹏,肖小玲,张翔,等.扩大变换宽度SNIP算法本底扣除研究[J].能源与环保,2017,39(3):143?146.DOI:10.19389/j.cnki.1003-0506.2017.03.030.ZHANG Yupeng,XIAO Xiaoling,ZHANG Xiang,et al.Research on elimination background by extending clipping window of snip algorithm[J].China Energy and Environment Protection,2017,39(3):143?146.DOI:10.19389/j.cnki.1003-0506.2017.03.030.
8王一鸣,魏义祥.用于γ全谱基线扣除的改进SNIP算法研究[J].核电子学与探测技术,2012,32(12):1356?1359.DOI:10.3969/j.issn.0258-0934.2012.12.002.WANG Yiming,WEI Yixiang.Baseline elimination method forγ-ray spectra based on improved snip algorithm[J].Nuclear Electronics&Detection Technology,2012,32(12):1356?1359.DOI:10.3969/j.issn.0258-0934.2012.12.002.
9尹旺明,刘宏章,汤彬.基于SNIP算法扣除γ能谱本底的探讨及应用[J].东华理工大学学报(自然科学版),2009,32(3):245?248.DOI:10.3969/j.issn.1674-3504.2009.03.010.YIN Wangming,LIU Hongzhang,TANG Bin.Discussion and application of eliminating the background inγ-ray spectrum by SNIP algorithm[J].Journal of East China Unibersity of Technology(Natural Science),2009,32(3):245?248.DOI:10.3969/j.issn.1674-3504.2009.03.010.