论文标题
使用完整运行2 $ pp $碰撞数据集$ \ sqrt {s} = 13 $ tev
Muon reconstruction and identification efficiency in ATLAS using the full Run 2 $pp$ collision data set at $\sqrt{s}=13$ TeV
论文作者
论文摘要
本文记录了Atlas实验获得的MUON重建和识别效率的139 fb $^{ - 1} $ $ pp $ collision Data在$ \ sqrt {s} = 13 $ tev = 13 $ tev在2015年至2018年之间在LHC运行2期间收集。在此期间，LHC传递的瞬时光度增加需要重新调整标准以识别及时操uns。部署了改进和新开发的算法，以保留高雄性识别效率，并以较低的错误识别率和良好的动量解决方案。 $ z \toμM$和$ j/ψ\toμm$衰减的大量样品的可用性，以及最小化系统的不确定性，允许标准的效率，用于MUON识别，初级顶点关联，隔离和隔离的隔离度，可以在相时级别的每次级别的平均水平和综合级别的综合级别上进行精确测量。从3 GEV到数百个GEV，以及$ |η| <2.7 $的全部操作探测器的接受度。
This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb$^{-1}$ of $pp$ collision data at $\sqrt{s}=13$ TeV collected between 2015 and 2018 during Run 2 of the LHC. The increased instantaneous luminosity delivered by the LHC over this period required a reoptimisation of the criteria for the identification of prompt muons. Improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution. The availability of large samples of $Z\toμμ$ and $J/ψ\toμμ$ decays, and the minimisation of systematic uncertainties, allows the efficiencies of criteria for muon identification, primary vertex association, and isolation to be measured with an accuracy at the per-mille level in the bulk of the phase space, and up to the percent level in complex kinematic configurations. Excellent performance is achieved over a range of transverse momenta from 3 GeV to several hundred GeV, and across the full muon detector acceptance of $|η|<2.7$.
