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Article Dans Une Revue High Energy Density Physics Année : 2014

Spectroscopic analysis of X-pinch plasma produced on the compact LC-generator of Ecole Polytechnique using artificial neural networks

Mehmet Fatih Yilmaz
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Alaa Eleyan
  • Fonction : Auteur
Jean Larour
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Résumé

A back-propagation artificial neural network algorithm is applied to a Mo X-pinch to estimate plasma parameters from typical L-shell spectra in the keV region. The spectrum was generated by a very compact LC-generator (40 kV, 200 kA) for driving 25-μm Mo two-wire X-pinches with a current rise-time of 200 ns. The neural network was trained over a set of synthetic spectra generated using a previously developed L-shell non-LTE collisionally radiative model. As a result, electron temperature and density of the Mo plasma were estimated as Te = 1000 eV and ne = 9 × 1020 cm−3. Furthermore, effects of electron beams on plasma parameters have been investigated through the inclusion of hot electrons in the kinetic model. The small fraction of hot electrons resulted in a better fitting of spectrum and decreased parameters Te = 650 eV and ne = 3 × 1020 cm−3.
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Dates et versions

hal-01311159 , version 1 (03-05-2016)

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Mehmet Fatih Yilmaz, Alaa Eleyan, Léonid Arantchouk, Jean Larour. Spectroscopic analysis of X-pinch plasma produced on the compact LC-generator of Ecole Polytechnique using artificial neural networks. High Energy Density Physics, 2014, 12, pp.1-4. ⟨10.1016/j.hedp.2014.04.001⟩. ⟨hal-01311159⟩
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