Low Latency Hardware Track Triggering and Searches for Long-Lived Particles with the ATLAS Detector

使用 ATLAS 探测器进行低延迟硬件跟踪触发和搜索长寿命粒子

• 批准号: 2270643
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2270643
• 关键词: Low; Latency; Hardware; Track; Triggering

The High Luminosity upgrade to the LHC will ultimately increase the instantaneous luminosity and, as a consequence, the number of p-p interactions per bunch crossing will rise nearly an order of magnitude to 200. The ATLAS detector will be upgraded including a new tracking system (ITk) and planned hardware track trigger (HTT) in the data acquisition system.The HTT must be able to process events at a rate of 1MHz for a small region (rHTT) of the detector and 100KHz for the full detector (gHTT). Therefore, high-speed processing is essential requiring the use of dedicated electronics. With this project, we will develop an optimized track pattern recognition algorithm for Intel Stratix 10 MX FPGAs and benchmark this solution against other technologies including ASICs, GPUs, and generic CPUs. Depending on the results, the project will either evolve to further the FPGA solution or transition to benchmarking the track parameter determination within an FPGA - another critical aspect of the HTT design.The other aspect of the project is the search for new long-lived particles. Track information in the trigger is critical for the identification of a host of models. However, since track-triggered data will not be available during this project, we will focus on a search with the Run 2 and partial Run 3 ATLAS dataset which has discovery potential. Observing the decay of long-lived particles would, without a doubt, confirm the existence of physics beyond the standard model and revolutionize our understanding of the universe.

LHC的高亮度升级将最终增加瞬时亮度，因此，每个束团交叉的p-p相互作用的数量将增加近一个数量级，达到200。ATLAS探测器将升级，包括一个新的跟踪系统（ITk）和数据采集系统中计划的硬件跟踪触发器（HTT）。HTT必须能够以1 MHz的速率处理探测器小区域（rHTT）的事件，并以100 KHz的速率处理整个探测器（gHTT）的事件。因此，高速处理是必不可少的，需要使用专用电子设备。通过该项目，我们将为英特尔Stratix 10 MX FPGA开发优化的轨迹模式识别算法，并将该解决方案与其他技术（包括ASIC、GPU和通用CPU）进行基准测试。根据结果，该项目将进一步发展FPGA解决方案，或过渡到在FPGA内对轨道参数确定进行基准测试-HTT设计的另一个关键方面。该项目的另一个方面是寻找新的长寿命粒子。触发器中的航迹信息对于识别大量模型至关重要。然而，由于在本项目期间无法获得跟踪触发数据，因此我们将重点搜索具有发现潜力的运行2和部分运行3 ATLAS数据集。毫无疑问，观察长寿命粒子的衰变将证实标准模型之外的物理学的存在，并彻底改变我们对宇宙的理解。