An Automatic Peak Finding and Fitting Aspects of Laser Induced Plasma Spectra acquired in High Vacuum: Tradeoff Simulations and Statistics

Sridhar R.V.L.N., Chandana R., Shashank Pandey, Prashanth C.U., Umesh S.B., M. S, E. S., Sriram K.V
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Abstract

Laser Induced Plasma Spectroscopy (LIPS) is a promising spectrochemical analytical method for rapid analysis of multi-element samples, and, has become a potential field of both fundamental and exploratory research including the space science in recent times. Although, the LIPS technique is highly versatile, its element detection capability at times is intriguing due to spectral peak overlapping that can hamper the elemental detection accuracy. This paper presents details on executed trade-off simulations and optimization of algorithm parameters that may aid for effective mitigation of spectral overlapping issues of LIPS spectra and precise peak finding. Four pelletized samples were used to acquire spectra in high vacuum (≤ 5x10-6 mbar) environment to mimic space-like conditions.
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高真空激光诱导等离子体光谱的自动寻峰与拟合:权衡模拟与统计
激光诱导等离子体光谱(LIPS)是一种很有前途的多元素样品快速分析光谱化学分析方法,近年来已成为包括空间科学在内的基础研究和探索性研究的一个有潜力的领域。尽管LIPS技术用途广泛,但由于光谱峰重叠会影响元素检测的准确性,因此其元素检测能力有时令人感兴趣。本文详细介绍了已执行的权衡模拟和算法参数的优化,这些参数可能有助于有效缓解LIPS光谱的频谱重叠问题和精确的峰值发现。在高真空(≤5x10- 6mbar)环境下,利用4个球团样品获取光谱以模拟类似太空的条件。
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