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Effect of Plasma Temperature on Major Element Prediction Accuracy From Laser‐Induced Breakdown Spectroscopy

Lepore, KH; Dyar, MD; Ytsma, CR; (2023) Effect of Plasma Temperature on Major Element Prediction Accuracy From Laser‐Induced Breakdown Spectroscopy. Geophysical Research Letters , 50 (8) , Article e2023GL102919. 10.1029/2023gl102919. Green open access

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Abstract

Laser-induced breakdown spectra (LIBS) were collected on a diverse suite of ∼2,600 geological standards using four laser energies (2.4–7.2 mJ) to assess how variations in irradiance from stand-off distance affect prediction accuracy. Mismatches in laser energies and plasma temperatures between training and prediction datasets introduce substantial uncertainty in major element predictions. For example, using 2.4 mJ spectra to predict 7.2 mJ data results in errors of ±8.9, ±1.4, ±3.8, ±3.2, ±1.6, ±1.0, ±0.6, and ±1.0 wt% for SiO2, TiO2, Al2O3, Fe2O3, MgO, CaO, Na2O, and K2O, respectively. When plasma temperatures of unknowns are represented in a multiple-plasma-temperature training set, prediction accuracies improve for the same oxides: ±3.0, ±0.3, ±1.3, ±1.4, ±1.0, ±0.7, ±0.5, and ±0.5 wt%. These results suggest that accuracies reported for Mars LIBS predictions based on single-distance, single laser-power calibration data may be overly optimistic except where Mars plasmas serendipitously match those acquired in the laboratory.

Type: Article
Title: Effect of Plasma Temperature on Major Element Prediction Accuracy From Laser‐Induced Breakdown Spectroscopy
Open access status: An open access version is available from UCL Discovery
DOI: 10.1029/2023gl102919
Publisher version: https://doi.org/10.1029/2023gl102919
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: LIBS, multivariate analysis, prediction accuracies, plasma temperature
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/10169551
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