论文标题

基于基于方形矩阵的非线性晶格优化的平方矩阵的收敛映射

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

论文作者

Yu, Li Hua, Hidaka, Yoshiteru, Smaluk, Victor

论文摘要

为了分析非线性动态系统,我们开发了一种基于方形矩阵方法的新技术。我们提出了该技术称为\收敛映射“用于生成粒子稳定图相似的频率图,类似于在加速器物理学中广泛使用的频率图来估算动态孔径。收敛图提供了与频率图相似的信息,但在较短的计算时间中提供了相似的信息。可以通过依次依次将动态方程式用于动态方程式。通过使用傅立叶变换来求解精确的非线性方程,当迭代是收敛时,将解决方案表示为准确的分析函数,作为高度准确的近似值,因此,我们的动态稳定范围是稳定的。与粒子跟踪获得的名称相当于或大于粒子跟踪的速度,圈子与粒子映射的计算速度相当于颗粒的速度,这是一个可与粒子跟踪的速度相当的,这是一个动态孔。

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.

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