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Unraveling spectral shapes of adventitious carbon on gold using a time-resolved high-resolution X-ray photoelectron spectroscopy and principal component analysis

机译:使用时间分辨的高分辨率X射线光电子能谱和主成分分析来解开偶然碳的光谱形状。

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To extract chemical information reliably, we propose a new data processing method based both on the creation of information vectors and on a vector base change. The originality of this method is the combination of the different core XPS peaks, Auger and/or valence bands in a single vector. We show that the measurement of a sample upon its progressive chemical change, such as accumulation of the adventitious carbon, allows us to create a new vector basis using linear algebra and Principal Component Analysis. We demonstrate the application of this method using adventitious carbon films on Au foil utilizing Au 4f, C 1s and O 1s spectral envelopes. This method expands the possibilities of XPS measured chemical environment analysis and is an operator -unbiased solution for materials for which the reference XPS spectra are not available. In this demonstration, the emphasis is placed on identifying changes in a C 1s peak assumed to be adventitious carbon and highlight uncertainties associated with calibrating the binding energy scale using a simple peak model to identify a component C 1s assumed to be saturated hydrocarbon in origin.
机译:为了可靠地提取化学信息,我们提出了一种基于信息向量的创建和向量基础改变的新数据处理方法。该方法的原创性是在单个向量中的不同核心XPS峰值,螺旋钻和/或价带的组合。我们表明,在渐进的化学变化时测量样本,例如偶焦炭的积累,可以使用线性代数和主成分分析来创建新的载体基础。我们证明了利用Au 4F,C 1s和O 1S光谱信封的Au箔上的不亚定碳膜的应用。该方法扩展了XPS测量的化学环境分析的可能性,并且是用于该材料的操作员 - 用于其中不可用的材料的溶液。在该示范中,重点被放置在假定的C 1S峰值中的变化,假设是不定碳的C 1S峰值,并且使用简单的峰模型鉴定与校准结合能量秤相关的不确定性以鉴定假设为饱和烃的组分C 1s。

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