A new computational framework for particle and spin simulations based on the stochastic Galerkin method
Computational Physics
2017-12-13 v1 Accelerator Physics
Abstract
An implementation of the Polynomial Chaos Expansion is introduced here as a fast solver of the equations of beam and spin motion inside an RF Wien filter. The device shall be used to search for the deuteron electric dipole moment in the COSY storage ring. The new approach is based on the stochastic Galerkin method, and it is shown that this constitutes a new and very powerful alternative to the commonly used Monte-Carlo methods.
Cite
@article{arxiv.1707.09274,
title = {A new computational framework for particle and spin simulations based on the stochastic Galerkin method},
author = {J. Slim and F. Rathmann and D. Heberling},
journal= {arXiv preprint arXiv:1707.09274},
year = {2017}
}
Comments
11 pages, 8 figures, 1 table