Singular value decomposition as a tool for solving of spectral problems arisen in supercollider simulation

Y. Bogomolov, E. S. Semenov, A.D. Yunakovsky
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Abstract

All accelerating part of a linear collider is considered. To maximize the accelerating gradient, profiles of amplifying radial channels of a. supercollider are required to be optimized. A spectral problem - to find profiles of waveguide channels providing zero eigenvalue for Helmholtz type operator under corresponding boundary conditions - is settled. A constructive algorithm for this zero eigenvalue problem basing on the method of discrete sources together with singular value decomposition technique is developed. To check on the possibilities of this numerical algorithm, an analytical test problem is suggested. Several types of boundary profiles for amplifying waveguide channels are considered. Optimal parameters for these profiles are obtained.
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奇异值分解是解决超级对撞机模拟中出现的光谱问题的一种工具
考虑了直线对撞机的所有加速部分。为了使加速梯度最大化,需要对超级对撞机的放大径向通道进行优化。解决了在相应边界条件下亥姆霍兹型算符提供零特征值的波导通道的谱问题。基于离散源方法和奇异值分解技术,提出了求解该零特征值问题的构造算法。为了验证该数值算法的可行性,提出了一个解析测试问题。考虑了几种放大波导通道的边界轮廓。得到了这些剖面的最优参数。
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