Abstract We describe the Hybrid seeding , a stand-alone 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.

中文翻译：

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混合种子：LHCb 闪烁光纤跟踪器的独立轨道重建算法

摘要 我们描述了混合种子，一种独立的模式识别算法，旨在为 LHCb 升级寻找带电粒子轨迹。通过利用 LHCb 磁场的知识和闪烁纤维跟踪器探测器中能量沉积的位置，可以显着提高带电粒子重建效率。此外，我们实现了低假率和对 LHCb 实时数据处理的整体时序预算的较小贡献。