Application of Deep Learning to Spectroscopic Features of the Balmer-Alpha Line for Hydrogen Isotopic Ratio Determination in Tokamaks - Aix-Marseille Université Accéder directement au contenu
Article Dans Une Revue Applied Sciences Année : 2022

Application of Deep Learning to Spectroscopic Features of the Balmer-Alpha Line for Hydrogen Isotopic Ratio Determination in Tokamaks

M. Koubiti
  • Fonction : Auteur
  • PersonId : 12336
  • IdHAL : koubiti

Résumé

We propose in this paper the use of artificial intelligence, especially deep learning algo- rithms, for the isotopic ratio determination for hydrogen–deuterium mixtures. Our approach is based on the Balmer-α line emitted by hydrogen and deuterium, but unlike the standard method, it does not consist of fitting the Hα/Dα line spectra. Instead, only some basic spectroscopic features such as the line peak-to-dip wavelength separation, peak-to-peak and dip-to-peak intensity ratios of the Zeeman–Doppler-broadened Hα/Dα line spectra are used by the regression algorithm for training. We demonstrate the proof-of-principle of our approach by applying deep learning from the open-access machine-learning platform TensorFlow to Hα/Dα line profiles, which we have synthetized with pre-determined parameters such as neutral temperatures, the magnetic field strength and the H/(H + D) isotopic ratio. The used regression algorithm allowed us to retrieve with a good accuracy the isotopic ratios used for the synthetized line profiles.
Fichier principal
Vignette du fichier
applsci-12-09891.pdf (1.32 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03793590 , version 1 (05-10-2022)

Licence

Paternité

Identifiants

Citer

M. Koubiti, M. Kerebel. Application of Deep Learning to Spectroscopic Features of the Balmer-Alpha Line for Hydrogen Isotopic Ratio Determination in Tokamaks. Applied Sciences, 2022, 12, pp.9891. ⟨10.3390/app12199891⟩. ⟨hal-03793590⟩

Collections

CNRS UNIV-AMU PIIM
68 Consultations
22 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More