Software alignment of the BESIII main drift chamber using the Kalman filter method

Ji Ke Wang, Ze Pu Mao, Jian Ming Bian, Guo Fu Cao, Xue Xiang Cao, Shen Jian Chen, Zi Yan Deng, Chong Dong Fu, Yuan Ning Gao, Kang Lin He, Miao He, Chun Fei Hua, Bin Huang, Xing Tao Huang, Xiao Bin Ji, Fei Li, Hai Bo Li, Wei Dong Li, Yu Tie Liang, Chun Xiu LiuHuai Min Liu, Suo Liu, Ying Jie Liu, Qiu Mei Ma, Xiang Ma, Ya Jun Mao, Xiao Hu Mo, Ming Hua Pan, Cai Ying Pang, Rong Gang Ping, Ya Hong Qin, Jin Fa Qiu, Sheng Sen Sun, Yong Zhao Sun, Liang Liang Wang, Shuo Pin Wen, Ling Hui Wu, Yu Guang Xie, Min Xu, Liang Yan, Zheng Yun You, Chang Zheng Yuan, Yo Yuan, Bing Yun Zhang, Chang Chun Zhang, Jian Yong Zhang, Xue Yao Zhang, Yao Zhang, Yang Heng Zheng, Ke Jun Zhu, Yong Sheng Zhu, Zhi Li Zhu, Jia Heng Zou

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Software alignment is quite important for a tracking detector to reach its ultimate position accuracy and momentum resolution. We developed a new alignment algorithm for the BESIII Main Drift Chamber using the Kalman Filter method. Two different types of data which are helix tracks and straight tracks are used to test this algorithm, and the results show that the design and implementation is successful.

Original languageEnglish (US)
Pages (from-to)210-216
Number of pages7
JournalChinese Physics C
Volume33
Issue number3
DOIs
StatePublished - Mar 2009

Keywords

  • BESIII main drift chamber
  • Kalman filter method
  • Tracking detector alignment

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