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相干渡越辐射束团纵向分布重建方法

袁肖肖 李佳 闫文兵 冉朝晖 杨鑫 赵全堂 宗阳 曹树春 张子民

袁肖肖, 李佳, 闫文兵, 等. 相干渡越辐射束团纵向分布重建方法[J]. 强激光与粒子束, 2023, 35: 114002. doi: 10.11884/HPLPB202335.230263
引用本文: 袁肖肖, 李佳, 闫文兵, 等. 相干渡越辐射束团纵向分布重建方法[J]. 强激光与粒子束, 2023, 35: 114002. doi: 10.11884/HPLPB202335.230263
Yuan Xiaoxiao, Li Jia, Yan Wenbing, et al. Reconstruction algorithm for bunch longitudinal distribution of coherent transition radiation[J]. High Power Laser and Particle Beams, 2023, 35: 114002. doi: 10.11884/HPLPB202335.230263
Citation: Yuan Xiaoxiao, Li Jia, Yan Wenbing, et al. Reconstruction algorithm for bunch longitudinal distribution of coherent transition radiation[J]. High Power Laser and Particle Beams, 2023, 35: 114002. doi: 10.11884/HPLPB202335.230263

相干渡越辐射束团纵向分布重建方法

doi: 10.11884/HPLPB202335.230263
基金项目: 国家重点研发计划项目(2019YFA0404900);甘肃省自然科学基金项目(21JR7RA103)
详细信息
    作者简介:

    袁肖肖,yuanxx@impcas.ac.cn

    通讯作者:

    赵全堂, zhaoquantang@impcas.ac.cn

  • 中图分类号: TL53

Reconstruction algorithm for bunch longitudinal distribution of coherent transition radiation

  • 摘要: 实验上通过相干渡越辐射(CTR)能谱分析法测量束团长度以及进行纵向束团形状重建已成为一种有效的束流诊断手段。通过迈克尔逊干涉仪测量太赫兹辐射能谱,通常实验所用探测器只能测量辐射的强度谱的幅值,且由于缺少相位无法直接进行束团形状重建。目前重建算法主要有Kramers-Kronig(K-K)相位分析法和代数迭代重建算法。利用这两种算法分别对高斯分布和带拖尾的高斯分布模型进行验证并进行了对比,其中K-K得出的重建结果存在一定的误差,迭代算法在解决重建反转歧义、重建噪声抑制等表现良好。同时利用这两种算法对兰州高能电子成像平台CTR实验结果进行了重建及分析,得出了对应的重建结果,为后续高能电子束成像平台的束流诊断反馈提供了一种参考手段。
  • 图  1  渡越辐射原理图与渡越辐射强度分布

    Figure  1.  Schematic diagram and intensity distribution of transition radiation

    图  2  迈克尔逊干涉仪布局图

    Figure  2.  Layout of Michelson interferometer

    图  3  迭代算法计算流程图

    Figure  3.  Flow chart of iterative algorithm

    图  4  迭代算法重建模拟实验

    Figure  4.  Simulation experiment outcome of the iterative algorithm

    图  5  HEER实验平台布局图

    Figure  5.  Layout diagram of the HEER experimental platform

    图  6  自相干曲线数据

    Figure  6.  data of auto-coherence curve

    图  7  拟合后得形状因子

    Figure  7.  The form factor is derived through fitting procedures

    图  8  K-K算法与迭代算法结果对比

    Figure  8.  comparative analysis of results between the K-K algorithm and the iterative algorithm

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出版历程
  • 收稿日期:  2023-08-11
  • 修回日期:  2023-10-23
  • 录用日期:  2023-10-23
  • 网络出版日期:  2023-10-25
  • 刊出日期:  2023-11-11

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