Detail publikačního výsledku

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.

Originální název

ANN-LIBS analysis of mixture plasmas: detection of xenon

Anglický název

ANN-LIBS analysis of mixture plasmas: detection of xenon

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Laser-induced breakdown spectroscopy; noble gases; temperature; meteorites; hydrogen; electron number density; helium

Klíčová slova v angličtině

Laser-induced breakdown spectroscopy; noble gases; temperature; meteorites; hydrogen; electron number density; helium

Autoři

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.

Rok RIV

2023

Vydáno

31.08.2022

Nakladatel

ROYAL SOC CHEMISTRY

Místo

CAMBRIDGE

ISSN

1364-5544

Periodikum

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY

Svazek

37

Číslo

9

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1815

Strany do

1823

Strany počet

10

URL

https://pubs.rsc.org/en/content/articlelanding/2022/JA/D2JA00132B

BibTex

@article{BUT178646,
  author="SAEIDFIROUZEH, H. and MYAKALWAR, A. and KUBELÍK, P. and GHADERI, A. and LAITL, V. and PETERA, L. and RIMMER, P.B. and SHORTLE, O. and HEYAS, A.N. and KŘIVKOVÁ, A. and KRUS, M. and CIVIŠ, S. and KÉPEŠ, E. and POŘÍZKA, P. and FERUS, M.",
  title="ANN-LIBS analysis of mixture plasmas: detection of xenon",
  journal="JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY",
  year="2022",
  volume="37",
  number="9",
  pages="1815--1823",
  doi="10.1039/d2ja00132b",
  issn="0267-9477",
  url="https://pubs.rsc.org/en/content/articlelanding/2022/JA/D2JA00132B"
}