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Auteur principal: Levko, Dmitry
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2405.07075
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author Levko, Dmitry
author_facet Levko, Dmitry
contents Data-driven techniques developed in recent years for the discovery of equations describing complex physical phenomena open unique opportunities for plasma physics. These methods allow getting insights into the processes difficult for analytical description. Since gas discharges can be represented as complex electrical circuits consisting of impedances and capacitances, it looks natural to use the data-driven techniques to study their complex dynamics. In the present paper, the sparse identification of nonlinear dynamics (SINDy) method is applied to analyze the self-oscillations of direct current discharge in argon. It is obtained that the third order polynomials describe best the oscillations of the discharge voltage and current. They allow an accurate capturing of the oscillations amplitudes as well as the harmonics of these oscillations. To understand the physical meaning of each term, an analytical model is presented which describes the discharge self-oscillations.
format Preprint
id arxiv_https___arxiv_org_abs_2405_07075
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Data-driven discovery of a model equation describing self-oscillations of direct current discharge
Levko, Dmitry
Plasma Physics
Data-driven techniques developed in recent years for the discovery of equations describing complex physical phenomena open unique opportunities for plasma physics. These methods allow getting insights into the processes difficult for analytical description. Since gas discharges can be represented as complex electrical circuits consisting of impedances and capacitances, it looks natural to use the data-driven techniques to study their complex dynamics. In the present paper, the sparse identification of nonlinear dynamics (SINDy) method is applied to analyze the self-oscillations of direct current discharge in argon. It is obtained that the third order polynomials describe best the oscillations of the discharge voltage and current. They allow an accurate capturing of the oscillations amplitudes as well as the harmonics of these oscillations. To understand the physical meaning of each term, an analytical model is presented which describes the discharge self-oscillations.
title Data-driven discovery of a model equation describing self-oscillations of direct current discharge
topic Plasma Physics
url https://arxiv.org/abs/2405.07075