Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models *
Adaptive multitrack reconstruction for particle trajectories based on fuzzy c-regression models *
复制标题
基于模糊 C 回归模型的粒子轨迹自适应多轨重建*
DOI：
10.1088/1674-1137/39/3/036201
复制
发表时间：
2015
影响因子：
3.6
通讯作者：
Yuanjing Li
中科院分区：
文献类型：
--
作者：
L. Niu;Yulan Li;Meng Huang;Jianqiang Fu;Bin He;Yuanjing Li
本文提出了一种适用于均匀磁场（或0 T）和切伦科夫环中粒子轨迹的直线和圆轨迹重建方法。该方法是基于模糊c-回归模型，其中模型的数量代表的轨道数。通过Hough变换得到的航迹参数的近似个数和粗略估计值，建立了模糊c-回归模型。该技术有效地代表了一个合并之间的跟踪候选人发现和参数拟合。在不同的场景下，该方法的性能进行了测试的一些模拟数据。结果表明，该技术是强大的，可以有效地提供非常准确的结果。
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.
使用气体电子倍增器开发时间投影室 (GEM-TPC)
DOI：
--
发表时间：
2006
期刊：
Nuclear Instruments and Methods in Physics Research Section A 566
影响因子：
--
作者：
S.X.Oda;et al.
通讯作者：
et al.