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Investigation of electron beam effects on L-shell Mo plasma produced by a compact LC generator using pattern recognition

Investigation of electron beam effects on L-shell Mo plasma produced by a compact LC generator using pattern recognition

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摘要

In this paper, the effects of an electron beam on X-pinch-produced spectra of L-shell Mo plasma are investigated for the first time by principal component analysis (PCA); this analysis is compared with that of line ratio diagnostics. A spectral database for PCA extraction is arranged using a non-Local Thermodynamic Equilibrium (non-LTE) collisional radiative L-shell Mo model. PC vector spectra of L-shell Mo, including F, Ne, Na and Mg-like transitions are studied to investigate the polarization types of these transitions. PC1 vector spectra of F, Ne, Na and Mg-like transitions result in linear polarization of Stokes Q profiles. Besides, PC2 vector spectra show linear polarization of Stokes U profiles of 2p53s of Ne-like transitions which are known as responsive to a magnetic field [Tr?bert, Beiersdorfer, and Crespo López-Urrutia, Nucl. Instrum Methods Phys. Res., Sect. B 408, 107–109 (2017)]. A 3D representation of PCA coefficients demonstrates that addition of an electron beam to the non-LTE model generates quantized, collective clusters which are translations of each other that follow V-shaped cascade trajectories, except for the case f = 0.0. The extracted principal coefficients are used as a database for an Artificial Neural Network (ANN) to estimate the plasma electron temperature, density and beam fractions of the time-integrated, spatially resolved L-shell Mo X-pinch plasma spectrum. PCA-based ANNs provide an advantage in reducing the network topology, with a more efficient backpropagation supervised learning algorithm. The modeled plasma electron temperature is about Te ~ 660 eV and density ne = 1 × 1020 cm?3, in the presence of the fraction of the beams with f ~ 0.1 and centered energy of 5 keV.

Abstract

In this paper, the effects of an electron beam on X-pinch-produced spectra of L-shell Mo plasma are investigated for the first time by principal component analysis (PCA); this analysis is compared with that of line ratio diagnostics. A spectral database for PCA extraction is arranged using a non-Local Thermodynamic Equilibrium (non-LTE) collisional radiative L-shell Mo model. PC vector spectra of L-shell Mo, including F, Ne, Na and Mg-like transitions are studied to investigate the polarization types of these transitions. PC1 vector spectra of F, Ne, Na and Mg-like transitions result in linear polarization of Stokes Q profiles. Besides, PC2 vector spectra show linear polarization of Stokes U profiles of 2p53s of Ne-like transitions which are known as responsive to a magnetic field [Tr?bert, Beiersdorfer, and Crespo López-Urrutia, Nucl. Instrum Methods Phys. Res., Sect. B 408, 107–109 (2017)]. A 3D representation of PCA coefficients demonstrates that addition of an electron beam to the non-LTE model generates quantized, collective clusters which are translations of each other that follow V-shaped cascade trajectories, except for the case f = 0.0. The extracted principal coefficients are used as a database for an Artificial Neural Network (ANN) to estimate the plasma electron temperature, density and beam fractions of the time-integrated, spatially resolved L-shell Mo X-pinch plasma spectrum. PCA-based ANNs provide an advantage in reducing the network topology, with a more efficient backpropagation supervised learning algorithm. The modeled plasma electron temperature is about Te ~ 660 eV and density ne = 1 × 1020 cm?3, in the presence of the fraction of the beams with f ~ 0.1 and centered energy of 5 keV.

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DOI:10.1063/1.5081676

所屬欄目:PULSED POWER TECHNOLOGY AND HIGH POWER ELECTROMAGNETICSResearch Article

收稿日期:2018-03-28

修改稿日期:2018-06-26

網絡出版日期:2019-06-27

作者單位    點擊查看

M. F. Yilmaz:Basic Sciences, Engineering Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Y. Danisman:Department of Mathematics and Computer Sciences, Queensborough Community College, CUNY, Bayside, New York 11364, USA
M. Ozdemir:Basic Sciences, Engineering Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
B. Karl?k:Neurosurgical Simulation Research and Training Centre, Department of Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec H3A 2B4, Canada
J. Larour:Laboratoire de Physique des Plasmas (LPP), Ecole Polytechnique, UPMC, CNRS, Palaiseau, France

聯系人作者:M. F. Yilmaz

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引用該論文

M. F. Yilmaz, Y. Danisman, M. Ozdemir, B. Karl?k, J. Larour. Investigation of electron beam effects on L-shell Mo plasma produced by a compact LC generator using pattern recognition[J]. Matter and Radiation at Extremes, 2019, 4(2): 5081676

M. F. Yilmaz, Y. Danisman, M. Ozdemir, B. Karl?k, J. Larour. Investigation of electron beam effects on L-shell Mo plasma produced by a compact LC generator using pattern recognition[J]. Matter and Radiation at Extremes, 2019, 4(2): 5081676

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