构建,光谱建模,参数倒置基校准,以及使用埃歇尔光谱仪的应用
Yuming Wang1,2, Youshan Qu1, Hui Zhao1
1Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 17 Xinxi Road, Xi'an 710119, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
我们开发了一种用于基层光谱仪的新校准方法,使用基因模拟化 (GSA) 算法. 这种方法显著提高了光谱精度,并减少了高分辨率光谱分析的校准时间.
科学领域:
- 频谱测量是一种光谱测量.
- 光学工程是指光学工程.
- 计算物理 计算物理
背景情况:
- 埃歇尔光谱仪对于高分辨率的光谱分析至关重要.
- 准确的校准对于可靠的光谱数据至关重要.
- 现有的校准方法可能耗时且不那么精确.
研究的目的:
- 开发用于紧,不对称的三通道梯级光谱仪的先进校准方法.
- 为了提高层次光谱学的光谱分辨率和精度.
- 为光谱仪的构造,建模和应用提供全面的解决方案.
主要方法:
- 开发了一个基于二维点位的理论光谱模型.
- 采用参数反转用于精确的梯级光谱仪校准.
- 利用了优化技术,包括网格探索,模拟回火,遗传算法和遗传模拟回火 (GSA).
- 在GSA算法中整合全球和本地搜索策略.
主要成果:
- 与网格探索相比,GSA算法将错误函数减少了22.8%,并将合时间减少了2.16倍.
- 通过GSA方法实现了7.05倍的校准精度改进.
- 一个灯的实验校准给出了0.0257nm的平均光谱精度误差.
- 在激光诱导分解光谱学中证明了卓越的光谱分辨率和10 ns以下时间分辨能力.
结论:
- 拟议的基于GSA的参数反转为梯级光谱仪提供了更加精确和高效的校准.
- 这一进步增强了梯级光谱仪用于高分辨率光谱分析的能力.
- 开发的方法为光谱仪的开发和研究和工业应用提供了坚实的框架.
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