Study of the online event filtering algorithm for BESIII

Cheng Dong Fu, Jia Heng Zou, Xiao Hu Mo, Kang Lin He, Jian Ming Bian, Guo Fu Cao, Xue Xiang Cao, Shen Jian Chen, Zi Yan Deng, Yuan Ning Gao, 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, Qiu Guang Liu, Suo Liu, Ying Jie Liu, Qiu Mei Ma, Xiang Ma, Ya Jun Mao, Ze Pu Mao, Ming Hua Pan, Cai Ying Pang, Rong Gang Ping, Gang Qin, Ya Hong Qin, Jin Fa Qiu, Sheng Sen Sun, Yong Zhao Sun, Ji Ke Wang, Liang Liang Wang, Shuo Pin Wen, Ling Hui Wu, Yu Guang Xie, Min Xu, Liang Yan, Zheng Yun You, Guo Wei Yu, Chang Zheng Yuan, Ye 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

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The results of a study of event tagging strategies for elementary physics processes in the τ-charm region are presented. The algorithm for online event filtering is optimized by adopting the information provided by different sub-detectors according to their strengths and capacities. The algorithm is tested with various generated physics and background events. The results indicate that the algorithm satisfies the requirements of BESIII physics analysis and its DAQ system.

Original languageEnglish (US)
Pages (from-to)329-337
Number of pages9
JournalChinese Physics C
Volume32
Issue number5
DOIs
StatePublished - May 2008

Keywords

  • Characteristic topology of various event
  • Event tagging and filtering
  • Trigger rate

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