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Information retrieval methods for high resolution γ-ray spectra 被引量:6

Information retrieval methods for high resolution γ-ray spectra
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摘要 A program based on MATLAB 7.0 platform was developed to locate characteristic peak position and calculate net area of characteristic peak.The formula for the calculation of relative standard deviation of net peak area by Sterlinski’s method was found excellent in searching single peaks and resolving overlapping peaks in high resolution gamma-ray spectrum.Gaussian function fitting method using Levenberg-Marquardt algorithm was applied to calculate net area of peaks.A standard test spectrum supplied by the IAEA in 1995 was analyzed by the program and another two widely used commercial software.The analysis results show the program was superior to the latter two in searching single peaks and resolving overlapping peaks.The optimized fitting indexes are found between 0.962 and 0.996,which shows that the program adopted is feasible and accurate for extracting the net peak area in high resolution gamma-ray spectra. A program based on MATLAB 7.0 platform was developed to locate characteristic peak position and calculate net area of characteristic peak.The formula for the calculation of relative standard deviation of net peak area by Sterlinski's method was found excellent in searching single peaks and resolving overlapping peaks in high resolution gamma-ray spectrum.Gaussian function fitting method using Levenberg-Marquardt algorithm was applied to calculate net area of peaks.A standard test spectrum supplied by the IAEA in 1995 was analyzed by the program and another two widely used commercial software.The analysis results show the program was superior to the latter two in searching single peaks and resolving overlapping peaks.The optimized fitting indexes are found between 0.962 and 0.996,which shows that the program adopted is feasible and accurate for extracting the net peak area in high resolution gamma-ray spectra.
出处 《Nuclear Science and Techniques》 SCIE CAS CSCD 2012年第6期332-336,共5页 核技术(英文)
基金 Supported by National Natural Science Foundation of China(No.41174089 and 41164003) Open-ended Foundation(No.HJSJYB2010-07) from the Chinese Engineering Research Center
关键词 γ射线谱 LEVENBERG-MARQUARDT算法 光谱分辨率 检索方法 相对标准偏差 国际原子能机构 信息 MATLAB High resolution Peak searching Gauss fitting Levenberg-Marquardt algorithm
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参考文献14

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