33 research outputs found

    Numerical approximation of the Euler-Poisson-Boltzmann model in the quasineutral limit

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    This paper analyzes various schemes for the Euler-Poisson-Boltzmann (EPB) model of plasma physics. This model consists of the pressureless gas dynamics equations coupled with the Poisson equation and where the Boltzmann relation relates the potential to the electron density. If the quasi-neutral assumption is made, the Poisson equation is replaced by the constraint of zero local charge and the model reduces to the Isothermal Compressible Euler (ICE) model. We compare a numerical strategy based on the EPB model to a strategy using a reformulation (called REPB formulation). The REPB scheme captures the quasi-neutral limit more accurately

    Multiscale schemes for the BGK-Vlasov-Poisson system in the quasi-neutral and fluid limits. Stability analysis and first order schemes.

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    International audienceThis paper deals with the development and the analysis of asymptotic stable and consistent schemes in the joint quasi-neutral and fluid limits of the collisional Vlasov Poisson system. In these limits, the classical explicit schemes suffer from time step restrictions due to the small plasma period and Knudsen number. To solve this problem, we propose a new scheme stable for choices of time steps independent from the small scales dynamics and with comparable computational cost with respect to standard explicit schemes. In addition, this scheme reduces automatically to consistent discretizations of the underlying asymptotic systems. In this first work on this subject, we propose a first order in time scheme and we perform a relative linear stability analysis to deal with such problems. The framework we propose permits to extend this approach to high order schemes in the next future. We finally show the capability of the method in dealing with small scales through numerical experiments

    Degenerate anisotropic elliptic problems and magnetized plasma simulations.

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    International audienceThis paper is devoted to the numerical approximation of a degen- erate anisotropic elliptic problem. The numerical method is designed for arbitrary space-dependent anisotropy directions and does not re- quire any specially adapted coordinate system. It is also designed to be equally accurate in the strongly and the mildly anisotropic cases. The method is applied to the Euler-Lorentz system, in the drift-fluid limit. This system provides a model for magnetized plasmas

    Asymptotic-Preserving methods and multiscale models for plasma physics

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    The purpose of the present paper is to provide an overview of As ymptotic- Preserving methods for multiscale plasma simulations by ad dressing three sin- gular perturbation problems. First, the quasi-neutral lim it of fluid and kinetic models is investigated in the framework of non magnetized as well as magne- tized plasmas. Second, the drift limit for fluid description s of thermal plasmas under large magnetic fields is addressed. Finally efficient nu merical resolutions of anisotropic elliptic or diffusion equations arising in ma gnetized plasma simu- lation are reviewed

    An Asymptotic Preserving Maxwell Solver Resulting in the Darwin Limit of Electrodynamics

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    In plasma simulations, where the speed of light divided by a characteristic length is at a much higher frequency than other relevant parameters in the underlying system, such as the plasma frequency, implicit methods begin to play an important role in generating efficient solutions in these multi-scale problems. Under conditions of scale separation, one can rescale Maxwell's equations in such a way as to give a magneto static limit known as the Darwin approximation of electromagnetics. In this work, we present a new approach to solve Maxwell's equations based on a Method of Lines Transpose (MOLT^T) formulation, combined with a fast summation method with computational complexity O(NlogN)O(N\log{N}), where NN is the number of grid points (particles). Under appropriate scaling, we show that the proposed schemes result in asymptotic preserving methods that can recover the Darwin limit of electrodynamics

    Méthodes asymptotico-numériques pour des problèmes issus de la physique des plasmas et de la modélisation des interactions sociales

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    In this thesis, we devise analytical and numerical methods for capturing the asymptotic dynamics of plasma physics problems and collective movement models for animal populations. In the first part, we present a Particle-In-Cell numerical method for the Vlasov-Poisson system that is asymptotic preserving for the quasineutral limit. In the second part, we study the macroscopic limit of a Vicsek model that describes alignement interactions among two populations: a moving population and a steady one. Then we select a numerical scheme for capturing the solutions of the macroscopic Vicsek model corresponding to the underlying particle dynamics. The third part is dedicated to the incompressible-compressible transitions that appear in a macroscopic model for collective displacements with congestion effects. Asymptotic preserving numerical schemes for the congestion limit are then built for the Euler system with a maximal density constraint.Dans cette thèse, nous développons des méthodes analytiques et numériques pour capturer les dynamiques asymptotiques de problèmes issus de la physique des plasmas et de la modélisation des mouvements collectifs dans les populations animales. Dans une première partie, nous présentons une méthode numérique Particle-In-Cell (PIC) pour le système Vlasov-Poisson préservant l'asymptotique quasi-neutre. Dans une seconde partie, nous étudions la limite macroscopique d'un modèle de Vicsek décrivant des interactions d'alignement entre deux populations, une population à l'arrêt et une population en mouvement. Nous sélectionnons ensuite un schéma numérique pour capturer les solutions du modèle macroscopique de Vicsek correspondant à la dynamique particulaire sous-jacente. La troisième partie est dédiée à l'étude des transitions compressible-incompressible apparaissant sous l'effet d'une contrainte de congestion dans un modèle macroscopique de déplacement collectif. Des schémas numériques préservant l'asymptotique de congestion sont ensuite mis au point pour le système d'Euler avec une contrainte de densité maximale
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