论文标题
使用基于共识的鲁棒估计器跟踪TPC的算法
Tracking Algorithms for TPCs using Consensus-Based Robust Estimators
论文作者
论文摘要
实施了基于共识估计量的跟踪算法，以分析时间预测室的实验。在这项工作中，使用AT-TPC，ACTAR和TEXAT探测器进行的实验数据成功测试了RANSAC以外的算法。与简单的顺序RANSAC例程相比，当前的跟踪算法具有更好的内部检测。包括随机抽样和聚类中的修改以提高跟踪效率。在所有测试用例中都获得了非常好的结果，尤其是用于在检测限制中拟合短轨道。
A tracking algorithm based on consensus-robust estimators was implemented for the analysis of experiments with time-projection chambers. In this work, few algorithms beyond RANSAC were successfully tested using experimental data taken with the AT-TPC, ACTAR and TexAT detectors. The present tracking algorithm has a better inlier-outlier detection than the simple sequential RANSAC routine. Modifications in the random sampling and clustering were included to improve the tracking efficiency. Very good results were obtained in all the test cases, in particular for fitting short tracks in the detection limit.
