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arXiv 1405.6583hep-ex
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$\sqrt{s}$ = 7 TeV pp碰撞中的光夸克和胶子喷注鉴别与ATLAS探测器

Light-quark and gluon jet discrimination in pp collisions at $\sqrt{s}$ = 7 TeV with the ATLAS detector

ATLAS Collaboration

摘要:

一个基于似然性的判别式的夸克和胶子发起的喷流的识别建立和验证使用4.7 fb $^{-1}$的质子-质子碰撞数据在$\sqrt{s}$ = 7 TeV收集的ATLAS探测器在大型强子对撞机。具有丰富的夸克或胶子内容的数据样本被用于喷射属性的模板的构建和验证,这些模板是基于似然性的判别式的输入。在10- 20%的系统不确定度内,在数据和Monte Carlo样本中建立了射流示踪器的鉴别能力。在数据中,光夸克喷注可以标记的效率为50%,而实现胶子喷注错误标记率为25%,在$p_T$范围内的40 GeV和360 GeV的喷注在接受的跟踪器。在数据中发现的胶子喷流的拒绝是显着低于使用Pythia 6蒙特卡罗模拟,其中胶子喷流错误标记率为10%,可以达到50%的选择效率的轻夸克喷流使用相同的喷流属性。

英文摘要:

A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb$^{-1}$ of proton-proton collision data at $\sqrt{s}$ = 7 TeV collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of 10-20%. In data, light-quark jets can be tagged with an efficiency of 50% while achieving a gluon-jet mis-tag rate of 25% in a $p_T$ range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10% can be reached for a 50% selection efficiency of light-quark jets using the same jet properties.

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