Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models |
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作者姓名: | 牛莉博 李玉兰 黄孟 傅楗强 何彬 李元景 |
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作者单位: | 1 Department of Engineering Physics, Tsinghua University, Beijing 100084, China;;2 Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, China;;3 Xi''an Research Institute of Hi-Tech, Hongqing Town, Xi''an 710025, China |
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摘 要: | In this paper, an approach to straight and circle track reconstruction is presented, which is suitable for particle trajectories in an homogenous magnetic field (or 0 T) or Cherenkov rings. The method is based on fuzzy c-regression models, where the number of the models stands for the track number. The approximate number of tracks and a rough evaluation of the track parameters given by Hough transform are used to initiate the fuzzy c-regression models. The technique effectively represents a merger between track candidates finding and parameters fitting. The performance of this approach is tested by some simulated data under various scenarios. Results show that this technique is robust and could provide very accurate results efficiently.
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关 键 词: | track reconstruction fuzzy c-regressions Hough transform track finding track fitting |
收稿时间: | 2014-4-28 |
修稿时间: | 2014-8-8 |
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