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 in | Chinese physics C Vol. 34; no. 1; pp. 92 - 98 |
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Main Author | |
Format | Journal Article |
Language | English |
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 |
Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | primary vertex, Kalman method, BES 11-5641/O4 U675.7 O572.214 |
ISSN: | 1674-1137 0254-3052 |