...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Physical Review. Accelerators and Beams >Independent component analysis applied to long bunch beams in the Los Alamos Proton Storage Ring
【24h】

Independent component analysis applied to long bunch beams in the Los Alamos Proton Storage Ring

机译：独立成分分析应用于Los Alamos质子存储环中的长束束

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Independent component analysis (ICA) is a powerful blind source separation (BSS) method. Compared to the typical BSS method, principal component analysis, ICA is more robust to noise, coupling, and nonlinearity. The conventional ICA application to turn-by-turn position data from multiple beam position monitors (BPMs) yields information about cross-BPM correlations. With this scheme, multi-BPM ICA has been used to measure the transverse betatron phase and amplitude functions, dispersion function, linear coupling, sextupole strength, and nonlinear beam dynamics. We apply ICA in a new way to slices along the bunch revealing correlations of particle motion within the beam bunch. We digitize beam signals of the long bunch at the Los Alamos Proton Storage Ring with a single device (BPM or fast current monitor) for an entire injection-extraction cycle. ICA of the digitized beam signals results in source signals, which we identify to describe varying betatron motion along the bunch, locations of transverse resonances along the bunch, measurement noise, characteristic frequencies of the digitizing oscilloscopes, and longitudinal beam structure.
机译：独立成分分析（ICA）是一种强大的盲源分离（BSS）方法。与典型的主成分分析BSS方法相比，ICA在噪声，耦合和非线性方面更具鲁棒性。来自多个光束位置监控器（BPM）的转弯位置数据的常规ICA应用会产生有关交叉BPM相关性的信息。通过该方案，多BPM ICA已用于测量横向电子加速器相位和幅度函数，色散函数，线性耦合，六极强度和非线性束动力学。我们以一种新的方式将ICA应用于沿束的切片，揭示了束束内粒子运动的相关性。我们使用单个设备（BPM或快速电流监测器）在洛斯阿拉莫斯质子存储环上将长束的束信号数字化，以进行整个注入-提取循环。数字化波束信号的ICA产生源信号，我们确定源信号来描述沿束流变化的电子感应加速器运动，沿束流的横向共振位置，测量噪声，数字化示波器的特征频率以及纵向束结构。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号