Pileup mitigation at CMS in 13 TeV data
Pileup mitigation at CMS in 13 TeV data
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DOI：
10.1088/1748-0221/15/09/p09018
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发表时间：
2020-03
影响因子：
1.3
通讯作者：
Cms Collaboration
中科院分区：
文献类型：
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作者：
Cms Collaboration
随着LHC瞬时亮度的增加，重建也面临着额外的挑战。在高光度下，许多碰撞同时发生在一个质子-质子束交叉。为了有效的物理性能，需要将感兴趣的碰撞与额外的“堆积“碰撞隔离。在CMS协作中，已经开发了能够减轻这些连环碰撞的影响的若干技术。这些方法包括带电强子减法，堆积喷流识别，同位旋为基础的中性粒子”$\delta\beta$“校正，以及最近，堆积每粒子识别。本文综述了这些技术的喷流和失踪的横向动量重建，以及μ子隔离的性能。该分析利用了2016年CMS实验在13 TeV的质心能量下收集的35.9 fb$^{-1}$对应的数据。每个算法的性能进行了讨论高达70个同时碰撞每束交叉。在识别堆积射流，射流能量，质量和角分辨率，缺少横向动量分辨率，μ子隔离时，使用堆积每粒子识别显着改善。
With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional"pileup"collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle"$\delta\beta$"correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb$^{-1}$ collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification.