用线性和非线性最小二乘法确定 InSb 中铟的 X-Auger 电子能谱演变过程

S. Béchu, Neal Fairley
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摘要

X 射线光电子能谱是一种重要而有价值的化学分析技术,只要花时间仔细解读光谱,就能获得广泛的信息。特别是,许多计量学的发展都涉及到光电子峰的建模,而 X-Auger 转换仍然很少被利用。本文介绍了一种以互补方式检查这些光谱特征的创新方法,并以 InSb 半导体在空气老化过程中铟的化学变化为具体案例进行了说明。铟在能级上包含大量光峰,这意味着在同一宽扫描光谱上存在不同逸出深度发射的电子,因此可以获取不同深度的信息。具体来说,本研究重点关注铟的 X-Auger 电子能谱(X-AES)跃迁和分解,以跟踪 InSb 半导体的外表面化学演变。为此,我们比较了线性和非线性最小二乘法来分解 In M4,5N4,5N4,5 X-AES 转变,并展示氧化物的生长过程。对于这两种方法,我们都采用了矢量法(也称为知情无定形样品模型)来检索空气老化过程中存在的不同化学环境。结果发现,线性和非线性最小二乘法得出的结果相当,误差均小于 10%。随着时间的推移,氧化层逐渐增长,X-AES 晶体转变的范围从 0.3 ± 0.2 纳米到 2.9 ± 0.2 纳米不等。此外,In 3d 和 In 4d 光电子峰的分解显示,随着时间的推移,氧化层的厚度会降低,这是因为这些峰的表面灵敏度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the X-Auger electron spectroscopy evolution of indium in InSb by linear and nonlinear least squares approaches
X-ray photoelectron spectroscopy is a major and valuable chemical analysis technique that can bring a wide range of information if one takes time to carefully interpret the spectra. In particular, many metrological developments deal with the modeling of photoelectron peaks while X-Auger transitions still remain hardly exploited. Here, an innovative approach examining these spectral features in a complementary way is presented and illustrated on a concrete case dealing with chemical changes of indium in the InSb semiconductor during its air aging. Indium contains an extensive range of photopeaks along the energy scale, meaning electrons emitted from different escape depths are present on the same widescan spectrum, and, thus, information from different depths is accessible. Specifically, this study focuses on indium’s X-Auger electron spectroscopy (X-AES) transitions and decomposition to track the outer surface chemistry evolution of the InSb semiconductor. To this end, we compared linear and nonlinear least-squares approaches to decompose In M4,5N4,5N4,5 X-AES transition and demonstrate oxide growth progression. For both approaches, we applied the vectorial method (also known as the informed amorphous sample model) to retrieve the different chemical environments present during air aging. Linear and nonlinear least-squares approaches were both found to yield comparable results, with a comparative error of less than 10%. Over time, a progressive growth of the oxide layer was demonstrated, ranging from 0.3 ± 0.2 to 2.9 ± 0.2 nm using the X-AES transitions. Additionally, decomposition of the In 3d and In 4d photoelectron peaks showed a lower thickness of oxide with time due to the lesser surface sensitivity of these peaks.
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