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Statistical methods for transverse beam position diagnostics with higher order modes in third harmonic 3.9 GHz superconducting accelerating cavities at FLASH

机译:FLasH中三次谐波3.9 GHz超导加速腔中高阶模横向光束位置诊断的统计方法

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摘要

Beam-excited higher order modes (HOMs) can be used to provide beam diagnostics. Here we focus on 3.9 GHz superconducting accelerating cavities. In particular we study dipole mode excitation and its application to beam position determinations. In order to extract beam position information, linear regression can be used. Due to a large number of sampling points in the waveforms, statistical methods are used to effectively reduce the dimension of the system, such as singular value decomposition (SVD) and k-means clustering. These are compared with the direct linear regression (DLR) on the entire waveforms. A cross-validation technique is used to study the sample independent precisions of the position predictions given by these three methods. A RMS prediction error in the beam position of approximately 50 μm can be achieved by DLR and SVD, while k-means clustering suggests 70 μm. © 2012 Elsevier B.V.
机译:光束激发的高阶模(HOM)可用于提供光束诊断。在这里,我们重点介绍3.9 GHz超导加速腔。特别地,我们研究偶极模式激发及其在束位置确定中的应用。为了提取光束位置信息,可以使用线性回归。由于波形中有大量采样点,因此使用统计方法来有效地减小系统的尺寸,例如奇异值分解(SVD)和k均值聚类。将这些与整个波形上的直接线性回归(DLR)进行比较。使用交叉验证技术来研究这三种方法给出的位置预测的样本独立精度。 DLR和SVD可以实现约50μm的光束位置RMS预测误差,而k均值聚类表明为70μm。 ©2012 Elsevier B.V.

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