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DOI:10.18429/JACoW-RuPAC2016-WEPSB007
Title On Application of Monte Carlo Method for Poisson Problem Solving
Authors
  • L.V. Vladimirova, I.D. Rubtsova
    St. Petersburg State University, St. Petersburg, Russia
Abstract The paper presents the application of random grid walk for Dirichlet problem solving for Poisson equation. Boundary value problem is discretized and reduced to the system of linear algebraic equations. The matrix of this system is used for stochastic matrix constructing. Thus, there is a possibility of Markov chains obtaining. The special random value is defined on Markov chain trajectories; this value is used for approximation of the desired solution. The advantages of this method are discussed in the paper. The algorithm is applied for electric potential calculation in the cell of support lattice of exit window in large-aperture electron accelerator.
Paper download WEPSB007.PDF [0.483 MB / 4 pages]
Conference RuPAC2016, St. Petersburg, Russia
Series Russian Particle Accelerator Conference (25th)
Proceedings Link to full RuPAC2016 Proccedings
Session Poster Session B
Date 23-Nov-16   16:50–18:30
Main Classification Particle dynamics, new methods of acceleration and cooling
Keywords electron, controls, lattice, simulation, plasma
Publisher JACoW, Geneva, Switzerland
Editors Maxim Kuzin (BINP, Novosibirsk, Russia); Volker RW Schaa (GSI, Darmstadt, Germany)
ISBN 978-3-95450-181-6
Published February 2017
Copyright
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