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BiBTeX citation export for WEP039: Operation Performance Evaluation of Accelerator Based on Cluster Analysis of Bunch-by-Bunch Diagnostic Data

@unpublished{yang:ibic2023-wep039,
  author       = {X. Yang and Y.B. Leng and Y.M. Zhou},
  title        = {{Operation Performance Evaluation of Accelerator Based on Cluster Analysis of Bunch-by-Bunch Diagnostic Data}},
% booktitle    = {Proc. IBIC'23},
  booktitle    = {Proc. Int. Beam Instrum. Conf. (IBIC'23)},
  language     = {english},
  intype       = {presented at the},
  series       = {International Beam Instrumentation Conference},
  number       = {12},
  venue        = {Saskatoon, Canada},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {12},
  year         = {2023},
  note         = {presented at IBIC'23 in Saskatoon, Canada, unpublished},
  abstract     = {{In order to improve the operating performance of the particle accelerator, it is better to develop a toolkits to monitor and analyze the sub-health state of the facility in addition to ensuring the stability of basic parameters such as beam current, life, transverse size, longitudinal length and orbit. The 3D bunch-by-bunch position measurement system combined with cluster analysis is a feasible solution for this requirement. HOTCAP is a general solution, which is based on high-speed oscilloscope and developed by SSRF, can deliver charge and absolute 3D position information bunch-by-bunch. Clustering analysis is a method for multidimensional data with complex structure. The data can be aggregated and discover the dependencies between data items. After the SSRF bunch-by-bunch measurement system is put into operation, the data of injection and steady-state operation are continuously accumulated. From it, many information including 3D positions, 3D tunes, filling pattern, refilled charge and the 3D damping times can be extracted. In this paper, based on the operational data of SSRF and the cluster analysis, operational status of the storage ring and injector is evaluated.}},
}