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9-cell超导腔快速预调谐方法研究

朱航 翟纪元 戴建枰

朱航, 翟纪元, 戴建枰. 9-cell超导腔快速预调谐方法研究[J]. 强激光与粒子束. doi: 10.11884/HPLPB202234.220061
引用本文: 朱航, 翟纪元, 戴建枰. 9-cell超导腔快速预调谐方法研究[J]. 强激光与粒子束. doi: 10.11884/HPLPB202234.220061
Zhu Hang, Zhai Jiyuan, Dai Jianping. Research on fast pre-tuning method of 9-cell superconducting cavities[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202234.220061
Citation: Zhu Hang, Zhai Jiyuan, Dai Jianping. Research on fast pre-tuning method of 9-cell superconducting cavities[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202234.220061

9-cell超导腔快速预调谐方法研究

doi: 10.11884/HPLPB202234.220061
详细信息
    作者简介:

    朱航:朱 航,zhuhang@ihep.ac.cn

    通讯作者:

    翟纪元,zhaijy@ihep.ac.cn

  • 中图分类号: TL503.2

Research on fast pre-tuning method of 9-cell superconducting cavities

  • 摘要: 对频率和场平坦度的预调谐是9-cell超导腔耗时最多的后处理工序之一,很快将成为国内相关大科学工程9-cell腔批量生产的瓶颈。首先介绍了9-cell超导腔两种常用的预调谐方法,即DESY方法和Cornell方法的原理,建模分析和比较了两种方法的计算精度和误差来源,给出Cornell方法调谐量计算的修正。然后结合9-cell超导腔预调谐实验研究,给出了快速预调谐方法:DESY的重建算法在低场平时精度较高且收敛迅速,可作为粗调;Cornell微扰算法在高场平时精度较高且测量迅速,可作为微调。结合两种调谐方式,将预调谐分为粗调和微调两步,可有效提升9-cell超导腔预调谐的速度。
  • 图  1  多cell超导腔电路模型

    Figure  1.  Circuit model of multi-cell cavity

    图  2  9-cell腔N005调谐前后场分布对比

    Figure  2.  9-cell cavity N005 field flatness tuning

    表  1  DESY与Cornell预调谐方法微扰量计算结果对比

    Table  1.   Comparison of perturbation calculation results between DESY and Cornell pre-tuning method

    cell
    number
    perturbation
    amount $ {e}_{\mathrm{r}\mathrm{e}\mathrm{f}}/{10}^{-4} $
    perturbation amount
    $ {e}_{\mathrm{D}\mathrm{E}\mathrm{S}\mathrm{Y}}/{10}^{-4} $
    perturbation amount
    $ {e}_{\mathrm{C}\mathrm{o}\mathrm{r}\mathrm{n}\mathrm{e}\mathrm{l}\mathrm{l}}/{10}^{-4} $
    154.966.21
    243.934.18
    3−4−4.03−4.84
    422.021.90
    5−3−2.99−2.70
    622.031.97
    7−1−0.99−1.35
    8−4−3.993.50
    966.025.92
    下载: 导出CSV

    表  2  DESY与Cornell预调谐方法微扰量计算结果百分比误差对比

    Table  2.   Comparison of perturbation percentage error of DESY and Cornell pre-tuning method

    cell
    number
    percentage error
    $ {E}_{\mathrm{D}\mathrm{E}\mathrm{S}\mathrm{Y}} $/%
    percentage error
    $ {E}_{\mathrm{C}\mathrm{o}\mathrm{r}\mathrm{n}\mathrm{e}\mathrm{l}\mathrm{l}} $/%
    1−0.8424.14
    2−1.874.61
    30.7120.96
    40.94−4.94
    5−0.47−9.98
    61.41−1.42
    7−1.4635.15
    8−0.03−12.49
    90.25−1.26
    下载: 导出CSV

    表  3  DESY和Cornell方法计算微扰量的均方根误差随场分布变化趋势

    Table  3.   Perturbation RMS error of DESY and Cornell method with different field flatness

    field
    flatness/%
    RMSE
    $ {\eta }_{\mathrm{d}\mathrm{e}\mathrm{s}\mathrm{y}}/{10}^{-4} $
    RMSE
    $ {\eta }_{\mathrm{C}\mathrm{o}\mathrm{r}\mathrm{n}\mathrm{e}\mathrm{l}\mathrm{l}}/{10}^{-4} $
    600.0552.11
    700.0762.74
    800.0330.96
    900.0150.45
    下载: 导出CSV

    表  4  场平调节至95%时不同方法调谐时间对比

    Table  4.   Pre-tuning time of different methods for 95% field flatness (FF)

    methodnumber of cells tunedmeasure time/htuning time/htotal time/h
    Cornell only22 (FF > 95%)0.26.66.8
    DESY only9 (FF < 90%)0.62.73.3
    combined method13 (FF > 95%)0.93.94.8
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-03-05
  • 修回日期:  2022-06-13
  • 网络出版日期:  2022-06-16

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