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NASVD方法在CE1-GRS谱线分析中的应用研究 被引量:1

Application of NASVD Method in the CE1-GRS Spectra Analysis
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摘要 直接从谱形特征上对嫦娥一号伽玛射线谱仪(CE1-GRS)的3级谱线数据进行分析,难以确定月表元素的种类。提出采用噪声调整的奇异值分解(NASVD)方法对CE1-GRS谱线进行定性分析。分析结果表明,该方法能够识别出的月表可能元素包括U、Th、K、Fe、Ti、Si、O、Al、Mg和Ca等10种元素,也能够通过各观测谱线对应于第一主成分的幅度绝对值大小反映对应月表区域的总放射性活度强弱。 From the spectral shape features of the Chang'e-1 gamma-ray spectrometer (CE1-GRS) spectra data of level 3, it is difficult to identify elemental composition of the lunar surface. The paper proposes using Noise Adjusted Singular Value Decomposition (NASVD) method to qualitative analysis of CE1-GRS spectra. The result shows that a number of possible elements such as U, Th, K, Fe, Ti, Si, O, AI, Mg and Ca are qualitatively determined by this method. On the other hand, for each measured spectrum, the absolute value of the amplitude corresponding to the first spectral component indicates the total activity of its corresponding lunar surface regioffs radioactivity.
出处 《核电子学与探测技术》 CAS CSCD 北大核心 2010年第1期145-150,共6页 Nuclear Electronics & Detection Technology
基金 国家"8863"计划资助项目(2006AA06A207) 国家自然科学基金资助项目(40774063)
关键词 嫦娥一号伽玛射线谱线 定性分析 NASVD方法 CE1-GRS spectra, Qualitative analysis, NASVD method
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参考文献6

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二级参考文献4

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