A data analysis method to rapidly characterize gallium concentration in plutonium matrices using LIBS

锕系元素 激光诱导击穿光谱 材料科学 光谱学 分析化学(期刊) 核工程 放射化学 化学 冶金 核化学 物理 工程类 环境化学 量子力学
作者
Dung M. Vu,John D. Auxier,Elizabeth J. Judge,Kelly E. Aldrich,Brendan J. Gifford,D. Saumon,Amanda J. Neukirch,Jerrad P. Auxier,J. E. Barefield,S. M. Clegg,Ronald K. Martinez,Bryan C. Paulus,Lisa K. Fulks,J. Colgan
出处
期刊:Spectrochimica Acta Part B: Atomic Spectroscopy [Elsevier BV]
卷期号:203: 106650-106650 被引量:3
标识
DOI:10.1016/j.sab.2023.106650
摘要

The processing of actinide samples is a complex and costly endeavor that requires compositional analysis at various stages. Laser-induced breakdown spectroscopy (LIBS) has been used to analyze actinide-containing samples in many nuclear applications including waste management, fuel processing and forensics. The LIBS spectrum obtained from actinide materials are generally extremely complex, exhibiting many thousands of strong emission lines. This makes it difficult to identify other elements within the sample of interest, given the rich and dominant actinide spectrum. In this article we describe a recent effort to identify and quantify impurities and alloying constituents in plutonium matrices using a hand-held LIBS instrument that is used to rapidly and efficiently measure an emission spectrum from a material sample. We tabulate the emission line positions and intensities of plutonium. We report the development of machine-learning software that can identify gallium and quantify its concentration in plutonium matrices. This work has the potential to provide a rapid and nearly non-destructive technique that allows more confidence in characterizing the composition of materials that are present within complex actinide associated targets. We describe how our LIBS measurements and data analysis methods have successfully quantified the gallium concentration in a variety of samples.

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