Convergence map with action-angle variables based on square matrix for nonlinear lattice optimization

TL;DR

The paper introduces the convergence map, a new, faster method based on the square matrix and action-angle variables for analyzing nonlinear lattice dynamics and optimizing dynamic aperture in accelerators.

Contribution

This work presents a novel convergence map technique that significantly reduces computation time for nonlinear dynamic analysis compared to traditional particle tracking methods.

Findings

Convergence map provides accurate stability diagrams in a fraction of the time.

Application to NSLS-II demonstrated comparable or larger dynamic aperture.

Speed improvement of 30 to 300 times over particle tracking.

Abstract

To analyze nonlinear dynamic systems, we developed a new technique based on the square matrix method. We propose this technique called the \convergence map" for generating particle stability diagrams similar to the frequency maps widely used in accelerator physics to estimate dynamic aperture. The convergence map provides similar information as the frequency map but in a much shorter computing time. The dynamic equation can be rewritten in terms of action-angle variables provided by the square matrix derived from the accelerator lattice. The convergence map is obtained by solving the exact nonlinear equation iteratively by the perturbation method using Fourier transform and studying convergence. When the iteration is convergent, the solution is expressed as a quasi-periodic analytical function as a highly accurate approximation, and hence the motion is stable. The border of stable motion determines the dynamical aperture. As an example, we applied the new method to the nonlinear optimization of the NSLS-II storage ring and demonstrated a dynamic aperture comparable to or larger than the nominal one obtained by particle tracking. The computation speed of the convergence map is 30 to 300 times faster than the speed of the particle tracking, depending on the size of the ring lattice (number of superperiods). The computation speed ratio is larger for complex lattices with low symmetry, such as particle colliders.