Detail publikace

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.

Anglický název

ANN-LIBS analysis of mixture plasmas: detection of xenon

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

en

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 anglicky

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

Vydáno

31.08.2022

Nakladatel

ROYAL SOC CHEMISTRY

Místo

CAMBRIDGE

ISSN

1364-5544

Ročník

37

Číslo

9

Strany od–do

1815–1823

Počet stran

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"
}