Beam Based Alignment Using a Neural Network

分类： 核科学技术 >> 辐射物理与技术 提交时间： 2024-04-07

Guanliang Wang Wei Xu

摘要： Beams usually do not travel through the magnet centers due to errors in storage rings. The beam deviatingfrom the quadrupole centers is affected by additional dipole fields due to magnetic field feed-down. The beambased alignment (BBA) is often performed to find a golden orbit, on which the beam circulates around thequadrupole center axes. For storage rings with a large number of quadrupoles, the conventional BBA procedureis time-consuming, especially in the commissioning phase due to the necessary iterative process. Additionally,the conventional BBA method can be affected by strong coupling and nonlinearity of the storage ring optics.In this work, a novel method based on a neural network is proposed to find the golden orbit in a much shortertime with reasonable accuracy. This golden orbit can be directly used for operation, or can be adopted as thestarting point for the conventional BBA. The method is demonstrated in the HLS-II storage ring for the firsttime, through simulation and online experiments. The results of the experiments show that the golden orbitobtained using this new method is consistent with that from the conventional BBA. The development of thisnew method and corresponding experiments are reported in this paper. 

通过

 点击量 441  下载量 134  评论