论文标题
使用FPGA的LHCB长寿命颗粒的实时重建
Real-time reconstruction of long-lived particles at LHCb using FPGAs
论文作者
论文摘要
由于执行搜索所需的大量CPU时间，在最早的LHCB触发水平下以LHCB触发器级别下游的找到轨道并不是升级触发器的基线计划的一部分。许多长寿命的粒子，例如$ k^0_s $和奇怪的重子，在顶点轨道检测器之后衰减，因此它们的重建效率受到限制。我们介绍了一项研究基于FPGA的未来创新实时跟踪系统的性能，该系统在R \＆d努力中在LHCB升级IB（LHC运行〜4）的背景下进行了，用于重建向前跟踪检测器的磁铁下游的粒子（在磁带式轨迹范围内）的30个事件，该事件是在进行的30个事件。
Finding tracks downstream of the magnet at the earliest LHCb trigger level is not part of the baseline plan of the upgrade trigger, on account of the significant CPU time required to execute the search. Many long-lived particles, such as $K^0_S$ and strange baryons, decay after the vertex track detector, so that their reconstruction efficiency is limited. We present a study of the performance of a future innovative real-time tracking system based on FPGAs, developed within a R\&D effort in the context of the LHCb Upgrade Ib (LHC Run~4), dedicated to the reconstruction of the particles downstream of the magnet in the forward tracking detector (Scintillating Fibre Tracker), that is capable of processing events at the full LHC collision rate of 30 MHz.
