论文标题

CMS触发HL-LHC的升级

The CMS Trigger Upgrade for the HL-LHC

论文作者

Tomei, Thiago R. F. P.

论文摘要

CMS实验是通过两级触发系统设计的:在定制设计的电子设备上实现的Level-1触发器和高级触发器,这是在计算机农场运行的CMS离线重建软件的简化版本。在其第二阶段,LHC的发光度为$ 7.5 \ times10^{34} \,\ textrm {cm}^{ - 2} \,\ textrm {s}^{ - 1} $,带有200次碰撞的堆积,产生集成的综合速度,产生大于3000 fb $^$^$ 1} $ fulter fulter。为了充分利用较高的发光度,CMS实验将引入更先进的Level-1触发器,并将完整的读数速率从100 kHz提高到750 kHz。 CMS正在设计有效的数据处理硬件触发器(Level-1),其中将包括跟踪信息和高粒度量热量表信息。预计当前的概念系统设计将在未来几年充分利用FPGA和Link Technologies的进步,从而为各种来源的大量吞吐量和复杂的数据相关提供高性能,低延迟系统。较高的发光度,事件复杂性和输入率对高水平触发器提出了前所未有的挑战,该挑战旨在达到与今天相似的效率和排斥因子,尽管堆积较高和纯粹的预选。在本演讲中,我们将讨论高亮度时代的在线重建和选择算法的持续研究和前景。

The CMS experiment has been designed with a two-level trigger system: the Level-1 Trigger, implemented on custom-designed electronics, and the High Level Trigger, a streamlined version of the CMS offline reconstruction software running on a computer farm. During its second phase the LHC will reach a luminosity of $7.5\times10^{34}\,\textrm{cm}^{-2}\,\textrm{s}^{-1}$ with a pileup of 200 collisions, producing integrated luminosity greater than 3000 fb$^{-1}$ over the full experimental run. To fully exploit the higher luminosity, the CMS experiment will introduce a more advanced Level-1 Trigger and increase the full readout rate from 100 kHz to 750 kHz. CMS is designing an efficient data-processing hardware trigger (Level-1) that will include tracking information and high-granularity calorimeter information. The current conceptual system design is expected to take full advantage of advances in FPGA and link technologies over the coming years, providing a high-performance, low-latency system for large throughput and sophisticated data correlation across diverse sources. The higher luminosity, event complexity and input rate present an unprecedented challenge to the High Level Trigger, that aims to achieve a similar efficiency and rejection factor as today despite the higher pileup and more pure preselection. In this presentation we will discuss the ongoing studies and prospects for the online reconstruction and selection algorithms for the high-luminosity era.

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