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Approximate Stationary Solution for Beam-Beam Interaction Models with Parametric Poisson White Noise

机译:具有参数泊松白噪声的光束相互作用模型的近似静止解决方案

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摘要

In this paper, a stochastic averaging method is derived for a class of non-linear stochastic systems under parametrical Poisson white noise excitation, which may be used to model the beam-beam interaction models in particle accelerators. The averaged Generalized Fokker-Planck equation is derived and the approximate stationary solution of the averaged Generalized Fokker-Planck equation is solved by using perturbation method. The present method applied in this paper can reduce the dimensions of stochastic ODE from 2n to n, which simplify the complex stochastic ODE, and then the analytical stationary solutions can be obtained. An example is employed to demonstrate the procedure of our proposed method. The analytical solution of approximate stationary probability density function is obtained, and the theoretical results are verified through numerical simulations. Finally, the stability of the amplitude process is investigated.
机译:在本文中,在参数泊松白噪声激发下导出了一类非线性随机系统的随机平均方法,其可用于模拟粒子加速器中的光束相互作用模型。 通过使用扰动方法来衍生出平均的广义Fokker-Planck方程,并且通过使用扰动方法来解决平均广义Fokker-Planck方程的近似静止解决方案。 本文中施加的本方法可以减少2N至N的随机ode的尺寸,这简化了复杂的随机颂歌,然后可以获得分析静止解决方案。 采用一个例子来展示我们所提出的方法的过程。 获得近似静止概率密度函数的分析解决方案,通过数值模拟验证理论结果。 最后,研究了幅度过程的稳定性。

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