Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models

NIU Li-Bo; LI Yu-Lan; HUANG Meng; FU Jian-Qiang; HE Bin; LI Yuan-Jing

doi:10.1088/1674-1137/39/3/036201

Chinese Physics C> 2015, Vol. 39> Issue(3) : 036201 DOI: 10.1088/1674-1137/39/3/036201

Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models

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Abstract：
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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NIU Li-Bo, LI Yu-Lan, HUANG Meng, FU Jian-Qiang, HE Bin and LI Yuan-Jing. Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models[J]. Chinese Physics C, 2015, 39(3): 036201. doi: 10.1088/1674-1137/39/3/036201

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Received: 2014-04-28
Revised: 2014-08-08

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models

Corresponding author: LI Yu-Lan,

Received Date: 2014-04-28

Accepted Date: 2014-08-08

Available Online: 2015-03-05

Abstract: 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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Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models

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