利用视网膜算法重建磁场中带电粒子轨迹的研究

W. Deng, G. Lentdecker, Guangming Huang, F. Robert, Z. Song, Dong Wang, Yu Yang
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引用次数: 1

摘要

高能物理实验在高亮度对撞机上的实时轨迹重建对触发系统来说是非常具有挑战性的。在fpga上运行后,视网膜算法主要应用于无磁场平行平面检测层的高能物理实验中,如LHCb VELO探测器。然而,另一个有趣的几何形状是一个跟踪探测器,它的桶形是由多个同心圆柱形层组成的,周围是一个强大的(几个特斯拉)磁场。本文介绍了在该桶形探测器结构下,利用视网膜算法重建强磁场环境下带电粒子运动轨迹的仿真工作。在仿真的基础上,给出了航迹重建分辨率的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Track Reconstruction using Retina algorithm for charged particles in magnetic field
Real-time track reconstruction in high energy physics experiments at colliders running at high luminosity is very challenging for trigger systems. When it is run on FPGAs, the Retina algorithm has been used in High Energy Physics experiments mainly in the case of parallel plane detection layer without magnetic field such as the LHCb VELO detector. However another interesting geometry is a tracking detector with a barrel shape made of multiple concentric cylindrical layers surrounded by a strong (several Tesla) magnetic field. In this paper we introduce our simulation work of reconstructing the charged particle trajectory in the strong magnetic field environment by using the Retina algorithm under the structure of this barrel shape detector. Based on simulations, preliminary results on the track reconstruction resolution are presented.
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