论文标题
杂交种子：用于LHCB的闪烁纤维跟踪器的独立轨道重建算法
HybridSeeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb
论文作者
论文摘要
我们描述了杂种播种，这是一种独立的模式识别算法，目的是为LHCB升级找到带电的颗粒轨迹。通过利用LHCB磁场的知识和闪烁的光纤追踪器检测器中能量沉积的位置来实现带电粒子重建效率的显着改善。此外，我们对LHCB实时数据处理的总体计时预算的伪造率低下，贡献很小。
We describe the Hybrid seeding, a standalone pattern recognition algorithm aiming at finding charged particle trajectories for the LHCb upgrade. A significant improvement to the charged particle reconstruction efficiency is accomplished by exploiting the knowledge of the LHCb magnetic field and the position of energy deposits in the scintillating fibre tracker detector. Moreover, we achieve a low fake rate and a small contribution to the overall timing budget of the LHCb real-time data processing.
