一种束流光学器件装配误差的分解训练方法
By calculating the coordinate transformation matrix of electromagnetic components and evaluating the state phase diagram of charged particles using two-dimensional PCA, combined with neural network training, the problem of existing accelerator beamline adjustment methods relying on manual experience was solved, and quantitative decomposition and rapid adjustment of assembly errors of beam optics were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN INSTITUE OF SPACE RADIO TECH
- Filing Date
- 2025-09-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing accelerator beamline adjustment methods have limited applicability, are time-consuming, and rely on manual experience, lacking effective means to decompose assembly errors of beam optics devices.
A decomposition training method for assembly errors of beam optics is adopted. By calculating the transformation matrix between the coordinate systems of electromagnetic components, the state phase diagram of charged particles is evaluated using the two-dimensional PCA method, the transmission state of charged particles inside the electromagnetic components is calculated, and the correspondence between the six-degree-of-freedom assembly errors of electromagnetic components and characteristic parameters is trained through neural networks.
It achieves quantitative decomposition of assembly errors of beam optics, reduces debugging time, improves the universality and reliability of the method, does not rely on human experience, and can automatically determine the assembly adjustment amount.
Smart Images
Figure CN121480671B_ABST