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Automated element identification for EDS spectra evaluation using quantification and integrated spectra simulation approaches

机译:使用量化和集成光谱仿真方法对EDS光谱评估的自动元素识别

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This work describes first real automated solution for qualitative evaluation of EDS spectra in X-ray microanalysis. It uses a combination of integrated standardless quantitative evaluation, computation of analytical errors to a final uncertainty, and parts of recently developed simulation approaches. Multiple spectra reconstruction assessments and peak searches of the residual spectrum are powerful enough to solve the qualitative analytical question automatically for totally unknown specimens. The integrated quantitative assessment is useful to improve the confidence of the qualitative analysis. Therefore, the qualitative element analysis becomes a part of integrated quantitative spectrum evaluation, where the quantitative results are used to iteratively refine element decisions, spectrum deconvolution, and simulation steps.
机译:这项工作描述了X射线微基分析中EDS光谱定性评估的首先真实自动化解决方案。它采用集成的无标尺定量评估的组合,对最终不确定性的分析误差计算,最近开发的模拟方法的部分。多谱重建评估和剩余光谱的峰值搜索足够强大,可以自动解决完全未知的标本来解决定性分析问题。综合定量评估可用于提高定性分析的置信度。因此,定性元素分析成为集成定量频谱评估的一部分,其中定量结果用于迭代细化元素决策,频谱解卷积和仿真步骤。

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