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Quantitative analysis of AuPd alloys from the shape of XPS spectra by the fuzzy rule

机译:基于XPS谱的模糊规则对AuPd合金的定量分析。

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摘要

The quantitative analysis of solid surfaces by XPS requires the determination of spectra intensities, related to atomic concentrations, recorded for constituents of investigated systems. The most reliable method of quantitative analysis is the multiline approach. The estimation of intensities requires satellites and background subtraction. The quantitative and qualitative information from intensity or binding energy shifts may be disturbed by overlapping spectra. To avoid these problems analyses based on the spectra lineshape were developed. These analyses use methods of statistical pattern recognition possible after selecting the set of standard spectra (reference set) consisting of a set of spectra recorded for different chemical states or atomic compositions (classes). The classification quality is characterized by the misclassification rate (error rate) estimated from the reference set. Fuzzy identification referring to the fuzzy membership results in quantitative estimation of chemical states and/or atomic compositions of constituents. The application of such algorithms to different lineshapes recorded at various kinetic energies results in quantification at various information depths. In the present work the fuzzy rule for analysing lineshapes of valence band, Au 4f, Pd 3d and Pd MNN Auger spectra recorded for AuPd alloys, Au and Pd, was found to be efficient and applicable for quantitative analysis of complex systems. Copyright (C) 2004 John Wiley Sons, Ltd.
机译:通过XPS对固体表面进行定量分析需要确定与原子浓度相关的光谱强度,并记录所研究系统的成分。定量分析最可靠的方法是多线方法。强度估计需要卫星和背景减法。来自强度或结合能移动的定量和定性信息可能会受到重叠光谱的干扰。为了避免这些问题,开发了基于光谱线形的分析。这些分析使用可能的统计模式识别方法,方法是选择一组标准光谱(参考组),该组标准光谱由针对不同化学状态或原子组成(类别)记录的一组光谱组成。分类质量的特征在于根据参考集估算的错误分类率(错误率)。涉及模糊隶属度的模糊识别导致对成分的化学状态和/或原子组成的定量估计。这种算法在以各种动能记录的不同线形上的应用导致在各种信息深度处的量化。在目前的工作中,发现用于分析为AuPd合金Au和Pd记录的价带,Au 4f,Pd 3d和Pd MNN Auger谱线形的模糊规则是有效的,可用于复杂系统的定量分析。版权所有(C)2004 John Wiley Sons,Ltd.

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