论文标题
13个TEV数据中的CMS堆积缓解
Pileup mitigation at CMS in 13 TeV data
论文作者
论文摘要
随着LHC的瞬时发光度的增加，会带来其他重建挑战。在高亮度下，许多碰撞发生在一个质子 - 普罗顿束交叉中。需要从其他“堆积”碰撞中隔离有趣的碰撞以进行有效的物理性能。在CMS协作中，已经开发了几种能够减轻这些堆积冲突影响的技术。这样的方法包括带电的 - - 戴隆减法，堆积喷射识别，基于同胞的中性粒子“ $Δβ$”校正，以及最近每个粒子识别的堆积。本文调查了这些技术的性能，用于射流和缺少横向动量重建以及muon隔离。该分析利用了与2016年通过CMS实验收集的35.9 fb $^{ - 1} $相对应的数据，该数据在13 TEV的质量中心能量中使用。讨论了每种算法的性能，每束交叉点最多同时碰撞。在使用堆肥时，每个粒子识别使用堆积时，发现堆积喷气机，射流能量，质量和角度分辨率，横向动量分辨率缺失以及若恩分离时，发现了显着改善。
With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup" collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "$δβ$" correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb$^{-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.
