Numerical statistical modelling algorithms for electron avalanches in gases
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Galiya Z. Lotova
Abstract
A three-dimensional parallel algorithm of the Monte Carlo method (ELSHOW) is developed for simulation of electron avalanches in gases. The parallel implementation is performed with the use of the well- proven PARMONC library, which accelerates the calculations of such integral characteristics as the number of particles in an avalanche, the coefficient of impact ionization, the drift velocity, and the others, as well as ways to select an appropriate size of the time step using the technique of dependent statistical tests. The algorithm consists of special methods of distribution modelling, a lexicographic implementation scheme for ‘branching’ of trajectories, a ‘Russian roulette’, justified construction of histograms and a polygon of frequencies, and the calculation of probabilistic error estimate of functionals. A comparison of the obtained results for nitrogen with previously published theoretical and experimental data is presented.
© 2014 by Walter de Gruyter Berlin/Boston
Artikel in diesem Heft
- Masthead
- Numerical prediction of laminar-turbulent transition on an airfoil
- Orthogonal transformations of differential-difference schemes. Introduction to discrete analysis
- Mixed FE method with piece-wise constant fluxes on polyhedral meshes
- The error analysis for spectral models of the sea surface undulation
- Numerical statistical modelling algorithms for electron avalanches in gases
Artikel in diesem Heft
- Masthead
- Numerical prediction of laminar-turbulent transition on an airfoil
- Orthogonal transformations of differential-difference schemes. Introduction to discrete analysis
- Mixed FE method with piece-wise constant fluxes on polyhedral meshes
- The error analysis for spectral models of the sea surface undulation
- Numerical statistical modelling algorithms for electron avalanches in gases
