Publication detail
ANN-LIBS analysis of mixture plasmas: detection of xenon
SAEIDFIROUZEH, H. MYAKALWAR, A. KUBELÍK, P. GHADERI, A. LAITL, V. PETERA, L. RIMMER, P.B. SHORTLE, O. HEYAS, A.N. KŘIVKOVÁ, A. KRUS, M. CIVIŠ, S. KÉPEŠ, E. POŘÍZKA, P. FERUS, M.
English title
ANN-LIBS analysis of mixture plasmas: detection of xenon
Type
journal article in Web of Science
Language
en
Original abstract
We developed an artificial neural network method for characterising crucial physical plasma parameters (i.e., temperature, electron density, and abundance ratios of ionisation states) in a fast and precise manner that mitigates common issues arising in evaluation of laser-induced breakdown spectra. The neural network was trained on a set of laser-induced breakdown spectra of xenon, a particularly physically and geochemically intriguing noble gas. The artificial neural network results were subsequently compared to a standard local thermodynamic equilibrium model. Speciation analysis of Xe was performed in a model atmosphere, mimicking gaseous systems relevant for tracing noble gases in geochemistry. The results demonstrate a comprehensive method for geochemical analyses, particularly a new concept of Xe detection in geochemical systems with an order-of-magnitude speed enhancement and requiring minimal input information. The method can be used for determination of Xe plasma physical parameters in industrial as well as scientific applications.
English abstract
We developed an artificial neural network method for characterising crucial physical plasma parameters (i.e., temperature, electron density, and abundance ratios of ionisation states) in a fast and precise manner that mitigates common issues arising in evaluation of laser-induced breakdown spectra. The neural network was trained on a set of laser-induced breakdown spectra of xenon, a particularly physically and geochemically intriguing noble gas. The artificial neural network results were subsequently compared to a standard local thermodynamic equilibrium model. Speciation analysis of Xe was performed in a model atmosphere, mimicking gaseous systems relevant for tracing noble gases in geochemistry. The results demonstrate a comprehensive method for geochemical analyses, particularly a new concept of Xe detection in geochemical systems with an order-of-magnitude speed enhancement and requiring minimal input information. The method can be used for determination of Xe plasma physical parameters in industrial as well as scientific applications.
Keywords in English
Laser-induced breakdown spectroscopy; noble gases; temperature; meteorites; hydrogen; electron number density; helium
Released
31.08.2022
Publisher
ROYAL SOC CHEMISTRY
Location
CAMBRIDGE
ISSN
1364-5544
Volume
37
Number
9
Pages from–to
1815–1823
Pages count
10
BIBTEX
@article{BUT178646,
author="Homa {Saeidfirouzeh} and Ashwin Kumar {Myakalwar} and Petr {Kubelík} and Amirhossein {Ghaderi} and Vojtěch {Laitl} and Lukáš {Petera} and Anna {Křivková} and Svatopluk {Civiš} and Jorge {Yanez} and Erik {Képeš} and Pavel {Pořízka} and Martin {Ferus},
title="ANN-LIBS analysis of mixture plasmas: detection of xenon",
year="2022",
volume="37",
number="9",
month="August",
pages="1815--1823",
publisher="ROYAL SOC CHEMISTRY",
address="CAMBRIDGE",
issn="1364-5544"
}