Application of model independent analysis-based method to accelerator bunch-by-bunch research
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摘要: 在加速器束流诊断中,为了对获取到的逐束团位置数据降噪处理,以获得测量精度更高的数据用于进一步研究,上海光源束测组在束流注入阶段位置数据分析中引入并扩展了模式独立分析方法。将此方法中的数据处理对象由多个束流位置探头获取到的逐圈位置数据矩阵更改为单探头逐束团多圈位置矩阵,通过对矩阵进行奇异值分解提取其主要运动模式。此方法有效地将随机噪声与具有物理意义的真实信号分离开来,提取出加速器物理学家真正关注的束流运动模式,便于后续的束流不稳定性分析。Abstract: In beam diagnostics of the particle accelerator, the acquired bunch-by-bunch beam position data have to be filtered by a noise-reduction process in order to get higher resolution results for future investigation, therefore the model independent analysis (MIA) was extended to the analysis of beam position data during the injection by Beam Diagnostics Group at SSRF. Compared to previous MIA approach, the bunch-by-bunch position data array instead of multi-turn array acquired by multiple probes, was processed by SVD method, and principal motion modes were extracted. Experiments showed that MIA is capable of separating the physical signals from the random noise and highlighting the beam motions which are really cared by the particle accelerator physicists.
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