Performance of the ATLAS calorimeter trigger in the LHC Run 1 data taking period

D. Damazio
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引用次数: 1

Abstract

The ATLAS detector operated very successfully at the LHC Run 1 data taking period collecting a large number of events used for different physics analyses, such as the ones leading to the discovery of the Higgs boson as well as for the search for beyond the Standard Model physics. In the main search channels related to the finding of the Higgs, the ATLAS calorimeter system played a major role by measuring the energy of photons, electrons, jets, taus and neutrinos, via missing transverse energy measurement. The ATLAS trigger system selects from the huge amount of events produced every second, those few that are recorded for physics analyses (less than one out of 40 thousand can be kept). The selection process is performed in three levels with increasing complexity and resolution. The first level is hardware based, seeding the two other software levels called together the HighLevel Trigger (HLT). The paper will describe details of the calorimeter based HLT algorithms with special emphasis on the algorithms used for missing transverse energy reconstruction and jet detection performance which was improved in 2012 with respect to the 2011 data taking despite the higher luminosity levels.
ATLAS量热计触发器在LHC Run 1数据采集周期中的性能
ATLAS探测器在大型强子对撞机1号运行期间非常成功地收集了大量用于不同物理分析的事件,例如导致希格斯玻色子的发现以及对超越标准模型物理的搜索。在与发现希格斯粒子相关的主要搜索通道中,ATLAS量热计系统发挥了主要作用,它通过缺失的横向能量测量来测量光子、电子、喷流、tau和中微子的能量。ATLAS触发系统从每秒产生的大量事件中选择那些被记录下来用于物理分析的少数事件(可以保留的不到4万分之一)。选择过程分三个层次进行,其复杂性和分辨率越来越高。第一个层次是基于硬件的,将另外两个软件层次结合在一起称为高层次触发器(high - level Trigger, HLT)。本文将详细描述基于量热计的HLT算法,特别强调用于缺失横向能量重建和射流检测性能的算法,该算法在2012年相对于2011年的数据进行了改进,尽管亮度水平更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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