Primary vertex reconstruction based on the Kalman filter technique at BES

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...

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Published inChinese physics C Vol. 34; no. 1; pp. 92 - 98
Main Author 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
Format Journal Article
LanguageEnglish
Published Graduate University of Chinese Academy of Sciences, Beijing 100049, China 2010
Institute of High Energy Physics, CAS, Beijing 100049, China%Institute of High Energy Physics, CAS, Beijing 100049, China%Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China%Institute of High Energy Physics, CAS, Beijing 100049, China
Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
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Summary: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.
Bibliography:primary vertex, Kalman method, BES
11-5641/O4
U675.7
O572.214
ISSN:1674-1137
0254-3052