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Primary vertex reconstruction based on the Kalman filter technique at BESⅢ

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【作者】 徐敏何康林张子平王贻芳边渐鸣傅成栋黄彬季晓斌孙胜森严亮张建勇

【Author】 XU Min1,2;1) HE Kang-Lin2;2) ZHANG Zi-Ping1 WANG Yi-Fang2 BIAN Jian-Ming2,3 FU Cheng-Dong2 HUANG Bin2,3 JI Xiao-Bin2 SUN Sheng-Sen2 YAN Liang2,3 ZHANG Jian-Yong2 1 Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China 2 Institute of High Energy Physics, CAS, Beijing 100049, China 3 Graduate University of Chinese Academy of Sciences, Beijing 100049, China

【机构】 Department of Modern Physics, University of Science and Technology of ChinaInstitute of High Energy Physics, CASGraduate University of Chinese Academy of Sciences

【摘要】 Primary vertex reconstruction is crucial to estimate the beam profile in collision experiments. We study the principle of an iterative process, called the Kalman filter method, and apply it to primary vertex reconstruction at BESⅢ. A Newton procedure to find the zero point of the distance function’s gradient is used for primary vertex finding in 3-dimensional space. Results are obtained based on raw data at BESⅢ.

【Abstract】 Primary vertex reconstruction is crucial to estimate the beam profile in collision experiments. We study the principle of an iterative process, called the Kalman filter method, and apply it to primary vertex reconstruction at BESⅢ. A Newton procedure to find the zero point of the distance function’s gradient is used for primary vertex finding in 3-dimensional space. Results are obtained based on raw data at BESⅢ.

【关键词】 primary vertexKalman methodBESⅢ
【Key words】 primary vertexKalman methodBESⅢ
【基金】 Supported by CAS Knowledge Innovation Project (111087513811)
  • 【文献出处】 中国物理C ,Chinese Physics C , 编辑部邮箱 ,2010年01期
  • 【分类号】TP391.41
  • 【下载频次】29
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