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On the potential and limitations of multivariate curve resolution in Mossbauer spectroscopic studies

机译:论多元曲线分辨率在莫斯巴尔光谱研究中的潜力和局限性

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摘要

Traditional processing of Mossbauer spectroscopy measurements assumes a decomposition of the spectra into separate multiplets corresponding to particular non-equivalent states of the resonance atom. When the number of spectra is large (e.g. in kinetic, corrosion and phase transition studies), this procedure becomes time-consuming. Moreover, traditional processing assumes some hypotheses on the number of non-equivalent states and initial multiplet parameters. The results of the processing strongly depend on these hypotheses and may be quite subjective. In an attempt to circumvent this issue, we studied the potential of Multivariate curve resolution (MCR) to unravel mixed multiplets spectra into their individual contributions. The application of MCR to Mossbauer studies was found to be quite challenging due to 1) long acquisition times limiting the number of available samples, 2) presence of critical spectral overlaps and 3) occasional deviations from the ideal bilinear assumption. In this report, we show how these limitations can be circumvented under certain conditions.
机译:Mossbauer光谱测量的传统处理假定光谱分解成对应于谐振原子的特定非等效状态的单独的多重。当光谱的数量大(例如,在动力学,腐蚀和相转变研究中)时,该程序变得耗时。此外,传统处理假设有些假设对非等效状态和初始多重参数的数量。处理结果强烈取决于这些假设,可能是非常主观的。为了试图绕过这个问题,我们研究了多变量曲线分辨率(MCR)的潜力,将解开混合的多重谱分为其各个贡献。由于1)长时间收集时间限制了可用样品数量,2)临界谱重叠的数量和3)偶尔与理想双线性假设的临界偏差,发现MCR对莫斯巴尔研究的应用是非常具有挑战性的。在本报告中,我们展示了如何在某些条件下规避这些限制。

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