对于电子能量损失光谱的线性背景模型的凸度约束
Wouter Van den Broek1, Daen Jannis2, Jo Verbeeck2
1Thermo Fischer Scientific, Achtseweg Noord 5, 5651 GG Eindhoven, Netherlands.
Ultramicroscopy
|August 26, 2023
概括
电子能量损失光谱 (EELS) 的新线性背景模型改善了元素量化. 凸度约束允许快速,独特的装配,没有初始参数,非常适合大型数据集.
科学领域:
- 材料科学 材料科学 材料科学
- 频谱学是一种光谱学.
- 计算化学计算化学
背景情况:
- 电子能量损失光谱 (EELS) 对于材料分析至关重要.
- 准确的背景建模对于EELS中可靠的元素量化至关重要.
- 传统的电力法安装方法可能很慢,需要初始参数.
研究的目的:
- 为EELS开发一种新的线性背景模型.
- 为了提高EELS元素量化的准确性.
- 为了减少用户在光谱分析中的依赖性.
主要方法:
- 对线性EELS背景模型的凸度约束的推导.
- 实施二次编程以适应受约束模型.
- 根据实验和模拟数据,与传统的权力法相适应的比较.
主要成果:
- 线性模型的性能优于功率规律的适配,特别是在广泛的能量范围内.
- 四位数编程确保了高速安装,并保证了独特的解决方案.
- 减少对用户输入的需求,有助于对大型EELS数据集进行无监督分析.
结论:
- 拟议的带有凸度约束的线性背景模型增强了EELS元素量化.
- 该方法在速度,独特性和自动化方面提供了显著的优势.
- 在复杂的半导体器件样本上证明的有效性突出显示了其实际实用性.
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