一种带电粒子扩束磁铁组的智能优化设计方法  

An Intelligent Optimization Design Method for the Charged Beam Expansion Magnets

作　　者：扈晓程 铁维昊 邵永纯 孟宇 方进勇[1] HU Xiaocheng;TIE Weihao;SHAO Yongchun;MENG Yu;FANG Jinyong(Xi'an Branch of China Academy of Space Technology,Xi'an 710100,China)

机构地区：[1]中国空间技术研究院西安分院,西安710000

出　　处：《空间科学与试验学报》2024年第4期106-113,共8页Journal of Space Science and Experiment

摘　　要：带电粒子束流的高效稳定传输在空间前沿科技领域中的应用至关重要。例如在空间高能物理、带电粒子束辐照效应研究等方面,精准控制带电粒子束流特性是实现高质量应用的关键前提。然而在带电粒子束流传输过程中,存在着带电粒子横向位移增加、束斑通量密度急剧降低等难题,严重阻碍了其应用效果与发展潜力。传统设计方法难以应对带电粒子扩束磁铁组设计参数繁多的复杂情况,致使难以获取全局最优解,无法满足日益增长的高精度束流传输需求。本文提出了一种带电粒子扩束磁铁组的智能优化设计方法。本文采用基于遗传算法的设计流程,首先深入分析扩束磁铁组前端加速器出束带电粒子的相空间坐标,依据带电粒子束光学理论、四极磁铁磁场空间分布理论,结合束流元器件空间分布精确计算束流传输矩阵,依据初始带电粒子相空间矢量算出装置末端带电粒子相空间矢量;其次根据加工能力与实际工况,基于神经网络修正的四极磁铁磁场分布理论确定磁铁几何参数、相对位置范围;最后通过遗传算法确定最优扩束模式和对应的最优参数。据此成功实现了对扩束磁铁组的高效优化设计,有效增加束斑横向尺寸、减小束斑内带电粒子间库伦斥力,压缩发散角。这一研究成果对于推动带电粒子束流传输技术的发展具有极其重要的意义,不仅能助力相关领域突破现有技术瓶颈,提升设备性能与应用效果,还将为后续更深层次的带电粒子束流操控研究提供坚实的理论与实践基础,拓展带电粒子束流在更多领域的创新应用前景。The efficient and stable transmission of the charged beams is of great significance in space technology's cutting-edge fields.In applications such as space high-energy physics and the charged beam irradiation studies,precise control of beam characteristics is essential for high-quality applications.However,during the charged beam transmission,issues like increased electron transverse displacement and decreased beam spot flux density have emerged,limiting its application and development.Traditional design methods struggle with the complexity of the charged beam-expanding magnet assemblies'numerous parameters,failing to achieve a global optimal solution and meet the demand for highprecision beam transmission.An intelligent optimization design method for these magnet assemblies was presented.Using a genetic algorithm-based design process,We first analyzed the phase space coordinates of electrons from the front-end accelerator.Then,based on charged particle beam optics and quadrupole magnet field theories,combined with beam component distribution,the beam transmission matrix was calculated to obtain the electron phase space vector at the device's end.Considering processing capabilities and actual conditions,the geometric parameters and relative positions of magnets were determined using a neural network-modified magnet field theory.Finally,the optimal beam-expanding mode and parameters were found through the genetic algorithm,achieving efficient optimization of the magnet assemblies,increasing the beam spot's transverse size,reducing Coulomb repulsion,and compressing the divergence angle.These research achievements are significant for the charged beam transmission technology.They help break through existing technical bottlenecks,enhance equipment performance and application effects,provide a foundation for further the charged beam manipulation research,and expand the innovative application prospects of the charged beams in more fields.

关 键 词：扩束磁铁组 束流动力学 遗传算法 带电粒子束 

分 类 号：V447.6[航空宇航科学与技术—飞行器设计]