High order time integrators for the simulation of charged particle motion in magnetic quadrupoles

TL;DR

This paper evaluates high order time integrators for simulating charged particle motion in magnetic quadrupoles, focusing on reducing computational costs and improving long-term accuracy in particle accelerator simulations.

Contribution

It introduces a gauge transformation to reduce vector potential evaluations and compares various high order integrators for efficiency and accuracy in long-term particle tracking.

Findings

High order Lie integrators offer optimal cost/accuracy ratios.

Runge Kutta methods perform well over long simulations.

Field reconstruction accuracy limits overall simulation precision.

Abstract

Magnetic quadrupoles are essential components of particle accelerators like the Large Hadron Collider. In order to study numerically the stability of the particle beam crossing a quadrupole, a large number of particle revolutions in the accelerator must be simulated, thus leading to the necessity to preserve numerically invariants of motion over a long time interval and to a substantial computational cost, mostly related to the repeated evaluation of the magnetic vector potential. In this paper, in order to reduce this cost, we first consider a specific gauge transformation that allows to reduce significantly the number of vector potential evaluations. We then analyze the sensitivity of the numerical solution to the interpolation procedure required to compute magnetic vector potential data from gridded precomputed values at the locations required by high order time integration methods. Finally, we compare several high order integration techniques, in order to assess their accuracy and efficiency for these long term simulations. Explicit high order Lie methods are considered, along with implicit high order symplectic integrators and conventional explicit Runge Kutta methods. Among symplectic methods, high order Lie integrators yield optimal results in terms of cost/accuracy ratios, but non symplectic Runge Kutta methods perform remarkably well even in very long term simulations. Furthermore, the accuracy of the field reconstruction and interpolation techniques are shown to be limiting factors for the accuracy of the particle tracking procedures.