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

Get Citation
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
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 shu
Milestone
Received: 2014-04-28
Revised: 2014-08-08
Article Metric

Article Views(1689)
PDF Downloads(202)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

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

    Corresponding author: LI Yu-Lan,

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.

    HTML

Reference (1)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return