Home > Publications database > Computational framework for particle and spin simulations based on the stochastic Galerkin method |
Journal Article | FZJ-2017-08040 |
; ;
2017
Inst.
Woodbury, NY
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Please use a persistent id in citations: http://hdl.handle.net/2128/16146 doi:10.1103/PhysRevE.96.063301
Abstract: An implementation of the polynomial chaos expansion is introduced as a fast solver of the equations of beam and spin motion of charged particles in electromagnetic fields. We show that, based on the stochastic Galerkin method, our computational framework substantially reduces the required number of tracking calculations compared to the widely used Monte Carlo method
Keyword(s): Nuclei and Particles (1st) ; Nuclear Physics (2nd) ; Instrument and Method Development (2nd) ; Particle Physics (2nd)
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