BEPCⅡ中束流位置测量系统的噪声分析

Noise Analysis of Beam Position Monitor System in BEPCⅡ

  • 摘要: 超低发射度光源要求束流位置测量系统(BPM系统)的分辨率达到亚μm量级。在实验室条件下,BPM系统电子学的测量分辨率可达亚μm,但在线机器运行时束流位置监测器(BPM)探头受到的机械振动(亚μm量级)将成为限制BPM系统测量分辨率达到亚μm的重要因素。为满足高能光源(HEPS)对BPM系统0.1 μm分辨率的要求,本文基于北京正负电子对撞机重大改造工程(BEPCⅡ)上的BPM系统,进行了功率谱方法的环境振动及束流数据的联合分析,以探究影响BPM系统分辨率的因素。首先从BPM系统分辨率的传统衡量标准与功率谱的关系出发,进而分析BPM系统的工作原理、安装环境,测量其周边的机械振动水平,获取束流的低频频谱。获取的BPM数据频谱成分及分析结果表明:电缆传输会产生频谱基线的上升;BPM探头真空室会直接受环境振动的影响;四极铁特征频率的机械振动经束流动力学造成了全环BPM数据特定频率的峰值增长。结合束流动力学,使用有限数量的BPM数据可推断出振动源点。

     

    Abstract: The ultra low emittance light source requires that the resolution of the beam position monitor (BPM) system reaches sub-μm magnitude. Under the laboratory conditions, the resolution of BPM electronics can reach the sub-μm, but the mechanical vibration of the BPM detector in the on-line machine will be an important factor to limit the resolution of BPM system to subμm. In order to meet the requirements of the 0.1 μm resolution of the BPM system for the High Energy Photon Source (HEPS), based on the BPM system in the BEPCⅡ, the comprehensive analysis including environmental vibration and beam data by using the power spectrum method was carried out to explore the factors that will affect the resolution of the BPM system. This paper begins with the relationship between the traditional measurement standard of BPM system resolution and the power spectrum. By analyzing the working principle of the BPM system, the location environment of BPM system and the measurement of the mechanical vibration level around BPM system, the low frequency spectrum of the BPM data can be obtained. The spectrum composition and analysis results of the BPM data show that the cable transmission will cause the rising of the spectrum baseline; the BPM detector is directly affected by the environmental vibration; the vibration of the characteristic frequency of the quadrupole magnet causes the rising of the peak value of specific frequency of the whole storage ring BPM data by the beam vibration. Combined with beam dynamics, the vibration source points can be inferred from the BPM data.

     

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