ANN-LIBS analysis of mixture plasmas: detection of xenon

Saeidfirozeh, H; Myakalwar, AK; Kubelík, P; Ghaderi, A; Laitl, V; Petera, L; Rimmer, PB; Shorttle, Oliver; Heays, AN; Křivková, A; Krůs, M; Civiš, S; Yáñez, J; Képeš, E; Pořízka, P; Ferus, M

View / Open Files

Accepted version (PDF, 832Kb)

Authors

Saeidfirozeh, H

Myakalwar, AK

Kubelík, P

Ghaderi, A

Laitl, V

Petera, L

Rimmer, PB

Publication Date

2022-07-05

Journal Title

Journal of Analytical Atomic Spectrometry

ISSN

0267-9477

Publisher

Royal Society of Chemistry (RSC)

Type

Article

This Version

Metadata

Show full item record

Citation

Saeidfirozeh, H., Myakalwar, A., Kubelík, P., Ghaderi, A., Laitl, V., Petera, L., Rimmer, P., et al. (2022). ANN-LIBS analysis of mixture plasmas: detection of xenon. Journal of Analytical Atomic Spectrometry https://doi.org/10.1039/d2ja00132b

Abstract

We developed an artificial neural network method for characterising crucial physical plasma parameters (i.e., temperature, electron density) in a fast and precise manner that mitigates common issues arising in evaluation of LIBS spectra.

Embargo Lift Date

2023-07-05

Identifiers

External DOI: https://doi.org/10.1039/d2ja00132b

This record's URL: https://www.repository.cam.ac.uk/handle/1810/339847

Rights

Licence URL: http://www.rioxx.net/licenses/all-rights-reserved

Statistics

Total file downloads (since January 2020). For more information on metrics see the IRUS guide.