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辉光放电光谱中的定量深度剖析——一种分离不均匀侵蚀坑形状影响的新反卷积技术。

Quantitative depth profiling in glow discharge spectroscopies - A new deconvolution technique to separate effects of an uneven erosion crater shape.

作者信息

Prässler F, Hoffmann V, Schumann J, Wetzig K

机构信息

Institut für Festkörper- und Werkstofforschung Dresden e.V., Postfach 27 00 16, D-01171, Dresden, Germany.

出版信息

Anal Bioanal Chem. 1996 Jul;355(7-8):840-6. doi: 10.1007/s0021663550840.

Abstract

An algorithm is presented as a concept for the quantification in direct current and radiofrequency glow discharge (GD) modes for GD optical emission spectroscopy. The algorithm is divided into excitation and sputtering part and thus it is possible to distinguish between the different excitation processes and to consider equivalent sputtering crater formations in both modes. Intensity-time profiles are affected corresponding to the method by several effects. One important effect is that sputtering occurs at a single time in different depths because of curved crater bottoms, this is usually called crater effect. The main purpose is to introduce an iterative deconvolution technique which for the quantification numerically takes into account the curved sputtering crater bottom. Input data for the deconvolution technique are the calibrated mass-time profile, the partial densities of the sample constituents and the measured final shape of the sputtering crater. Using a relatively simple model for ion sputtering the deconvolution technique improves iteratively the calculated layer structure by means of information on crater formation. The mathematical handling is illustrated for the quantification of a depth profile of a multilayer sample of ten 100 nm layers. The resulting concentration-depth profile reflects excellently the real elemental distribution of the multilayer system.

摘要

本文提出了一种算法概念,用于在直流和射频辉光放电(GD)模式下对GD光发射光谱进行定量分析。该算法分为激发部分和溅射部分,因此可以区分不同的激发过程,并考虑两种模式下等效的溅射坑形成情况。强度-时间曲线会受到多种效应的相应影响。一个重要的效应是,由于坑底呈曲线状,溅射在不同深度的同一时刻发生,这通常称为坑效应。主要目的是引入一种迭代反卷积技术,该技术在定量分析时从数值上考虑了弯曲的溅射坑底部。反卷积技术的输入数据是校准后的质量-时间曲线、样品成分的部分密度以及测量得到的溅射坑最终形状。通过使用一个相对简单的离子溅射模型,反卷积技术借助坑形成的信息迭代地改进计算得到的层结构。本文针对一个由十个100纳米层组成的多层样品深度分布的定量分析,阐述了其数学处理方法。所得的浓度-深度曲线出色地反映了多层系统的真实元素分布。

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