𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Accelerating Convergence in Stochastic Particle Dispersion Simulation Codes

✍ Scribed by Richard R. Picard; Mark Fitzgerald; Michael J. Brown


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
181 KB
Volume
173
Category
Article
ISSN
0021-9991

No coin nor oath required. For personal study only.

✦ Synopsis


Recent work in adaptive importance sampling is applied to Markov chain models for Monte Carlo simulations. When this technique is incorporated into the simulation of physical processes, it can give orders-of-magnitude improvement in convergence times relative to standard approaches. We review the related methodology and illustrate its application.


πŸ“œ SIMILAR VOLUMES


BDSIM: A particle tracking code for acce
✍ I. Agapov; G.A. Blair; S. Malton; L. Deacon πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 311 KB

BDSIM, a code for particle-matter interaction studies in accelerators, is presented. BDSIM is a toolkit for simulation of particle transport in accelerator beam-lines. It provides a collection of classes representing typical accelerator components, a collection of physics processes for fast tracking

Stochastic simulation of Taylor's disper
✍ Michel Bres; Abdellaziz Ben Jebria πŸ“‚ Article πŸ“… 1985 πŸ› Elsevier Science 🌐 English βš– 504 KB

A stochastic simulation was devised in order to obtain a more correct solution of the phenomenon of convection combined with axial and radial diffusion, which is also called Taylor's dispersion, as it could occur in the pulmonary tract. The fit with Ark' moments which can be deemed as a reference si

A stochastic model of particle dispersio
✍ B. A. Boughton; J. M. Delaurentis; W. E. Dunn πŸ“‚ Article πŸ“… 1987 πŸ› Springer 🌐 English βš– 1000 KB

Stochastic models of turbulent atmospheric dispersion treat either the particle displacement or particle velocity as a continuous time Markov process. An analysis of these processes using stochastic differential equation theory shows that previous particle displacement models have not correctly simu