Classification of gaseous UF assay by femtosecond LIBS in the 424.4 nm spectral region using numerical HOGSVD-DTW features

This technical note presents experimental results using numerical features of fs-LIBS data to classify the assay value of a gaseous UF 6 material. The data-driven feature vectors are computed by Higher Order Generalized Singular Value Decomposition (HOGSVD) and Dynamic Time Warp (DTW). The method ac...

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Bibliographic Details
Published in:Journal of analytical atomic spectrometry 2023-08, Vol.38 (8), p.1556-1559
Main Authors: Jordan, Benjamin S, Thomason, Michael G, Readle, Jason D, Cooper, Jeffrey R, Hayward, Jason P, Hall, Howard L
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Summary:This technical note presents experimental results using numerical features of fs-LIBS data to classify the assay value of a gaseous UF 6 material. The data-driven feature vectors are computed by Higher Order Generalized Singular Value Decomposition (HOGSVD) and Dynamic Time Warp (DTW). The method achieves 96.97% accuracy in spectral classification testing with fs-LIBS samples obtained from a UF 6 material with five known assay values ranging from 0.287% to 61.740%, with 100% accuracy for the four largest assay values ranging from 4.615% to 61.740%. This technical note presents experimental results using numerical features of fs-LIBS data to classify the assay value of a gaseous UF 6 material.
ISSN:0267-9477
1364-5544
DOI:10.1039/d3ja00062a