计算物理 ›› 2013, Vol. 30 ›› Issue (1): 127-133.

• 论文 • 上一篇    下一篇

应用Kalman filter建立时间投影室的径迹重建算法

李波1,2, 高原宁1,2, 杨振伟1,2, 李玉兰1,2   

  1. 1. 粒子技术与辐射成像教育部重点实验室(清华大学), 北京 100084;
    2. 清华大学工程物理系, 北京 100084
  • 收稿日期:2012-03-19 修回日期:2012-08-03 出版日期:2013-01-25 发布日期:2013-01-25
  • 作者简介:李波(1981-),男,博士,从事高能物理探测器数据重建算法和相关数据分析等研究,E-mail:libei07@mails.tsinghua.edu.cn
  • 基金资助:
    国家自然科学基金(10905033);清华大学自主科研计划(2009THZ02231)资助项目

Kalman Filter in Track Reconstruction Algorithm for Time Projection Chamber

LI Bo1,2, GAO Yuanning1,2, YANG Zhenwei1,2, LI Yulan1,2   

  1. 1. Key Laboratory of Particle & Radiation Imaging(Tsinghua University), Ministry of Education, Beijing 100084, China;
    2. Department of Engineering Physics, Tsinghua University, Beijing 100084, China
  • Received:2012-03-19 Revised:2012-08-03 Online:2013-01-25 Published:2013-01-25

摘要: 建立直线径迹模型,详细验证将其用于Kalman filter小型时间投影室径迹重建算法的正确性.结果表明径迹参数在一定的击中点下能够收敛到真实值.实际的径迹重建程序在MarlinTPC框架下实现.通过合理地选择径迹重建参数,程序能够有效地对噪声进行甄别并重建出径迹.本算法对大型时间投影室的径迹重建有借鉴意义.

关键词: 时间投影室, 径迹重建, Kalman filter, 径迹模型

Abstract: A straight-line track model is developed, and validity of Kalman filter track reconstruction algorithm with the track model was verified in detail. It shows that given sufficient hits track parameters converge to true values. The track reconstruction program is implemented in MarlinTPC reconstruction framework in practice. By choosing track reeonstruction parameters reasonably, the program discriminates noise efficiently and reconstructs tracks. The algorithm is valuable in track reconstruction of large prototypes.

Key words: time projection chamber, track reconstruction, Kalman filter, track model

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