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arXiv 1111.5857hep-phhep-ex
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利用LHC本征电荷不对称性诊断顶夸克角不对称性

Diagnosing the top-quark angular asymmetry using LHC intrinsic charge asymmetries

Simon Knapen, Yue Zhao, Matthew J. Strassler

摘要:

在Tevatron上观察到的$t\bar t$前后不对称性,其中一个解释是涉及新重粒子的味道破坏相互作用。这些模型中的许多在大型强子对撞机上产生了一个$t\bar t$加喷流信号。在本文中,我们确定了几个新的电荷不对称变量的$t\bar tj$事件,可以有助于发现这样的模型在大型强子对撞机。我们提出了一种数据驱动的方法的背景,在很大程度上消除了需要的Monte Carlo预测的$t\bar t$加喷流,从而减少了系统误差。通过快速检测器模拟,我们估计了这些模型之一的变量的统计灵敏度,发现电荷不对称变量可以在很大程度上帮助排除标准模型在大部分质量和耦合范围内,给定5个逆fb的数据。如果出现任何信号,我们的变量将有助于区分模型的类别。

英文摘要:

Flavor-violating interactions involving new heavy particles are among proposed explanations for the $t\bar t$ forward-backward asymmetry observed at the Tevatron. Many of these models generate a $t\bar t$-plus-jet signal at the LHC. In this paper we identify several new charge asymmetric variables in $t\bar tj$ events that can contribute to the discovery of such models at the LHC. We propose a data-driven method for the background, largely eliminating the need for a Monte Carlo prediction of $t\bar t$-plus-jets, and thus reducing systematic errors. With a fast detector simulation, we estimate the statistical sensitivity of our variables for one of these models, finding that charge-asymmetric variables could materially assist in the exclusion of the Standard Model across much of the mass and coupling range, given 5 inverse fb of data. Should any signal appear, our variables will be useful in distinguishing classes of models from one another.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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