Interpreting neural networks trained to predict plasma temperature from optical emission spectra

Author:

Képeš Erik1ORCID,Saeidfirozeh Homa2ORCID,Laitl Vojtěch23,Vrábel Jakub1ORCID,Kubelík Petr24,Pořízka Pavel156,Ferus Martin2,Kaiser Jozef156ORCID

Affiliation:

1. Central European Institute of Technology, Brno University of Technology, Purkyňova 656/123, CZ-61200, Brno, Czech Republic

2. J. Heyrovský Institute of Physical Chemistry, Czech Academy of Sciences, Dolejškova 3, CZ 18223 Prague 8, Czech Republic

3. University of Antwerp, Faculty of Science, Groenenborgerlaan 171, BE2020 Antwerpen, Belgium

4. Department of Radiation and Chemical Physics, Institute of Physics, Academy of Sciences of the Czech Republic, Na Slovance 1999/2, CZ18221 Prague 8, Czech Republic

5. Brno University of Technology, Faculty of Mechanical Engineering, Institute of Physical Engineering, Technická 2, CZ-61669, Brno, Czech Republic

6. Lightigo Space s.r.o., Renneská třída 329/13, 63900, Brno, Czech Republic

Abstract

ANN can learn spectroscopic trends widely used by domain experts for plasma temperature estimation using emission spectra.

Funder

Technology Agency of the Czech Republic

Grantová Agentura České Republiky

Publisher

Royal Society of Chemistry (RSC)

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