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Method and apparatus for using non-linear spectral fitting procedures on gamma-ray spectral data

机译:在伽玛射线光谱数据上使用非线性光谱拟合过程的方法和设备

摘要

A method and an apparatus for decomposing a gamma spectrum representative of an unknown material for determining the contribution of each constituent postulated to constitute the material, wherein an energy spectrum of the gamma rays issued from the material is formed, as well as a composite spectrum made up of individual standard spectra of the postulated constituents and comprising elemental yields being representative of the proportion of the corresponding constituents; the best fit between the measured spectrum and the composite spectrum is determined by modifying simultaneously at least one elemental yield and at least one parameter representative of the conditions under which the measured spectrum and the composite spectrum have been obtained. The best fit may be based on any non linear least squares search for a global minimum of X.sup.2 =(S Y-U).sup.T W(S Y-U), where "U" is a matrix representing the measured spectrum, "S" is a matrix representing the composite spectrum, "Y" is a matrix representative of the elemental yields and "W" is a weight matrix. The non linear fitting method used may be e.g. a gradient search or the Marquardt method.
机译:用于分解代表未知材料的伽马光谱的方法和设备,以确定确定构成材料的每种成分的贡献,其中形成了从该材料发出的伽马射线的能谱,以及合成的复合光谱。假定成分的各个标准光谱的上升,包括代表相应成分比例的元素产率;通过同时修改至少一种元素收率和至少一种代表已获得测量光谱和复合光谱的条件的参数,来确定测量光谱与复合光谱之间的最佳拟合。最佳拟合可以基于对X.sup.2 =(S YU).sup.TW(S YU)的全局最小值的任何非线性最小二乘搜索,其中“ U”是代表测量频谱的矩阵,“ S”是代表复合光谱的矩阵,“ Y”是代表元素产率的矩阵,“ W”是权重矩阵。所使用的非线性拟合方法可以是例如。梯度搜索或Marquardt方法。

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