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RD(*) motivated S1 leptoquark scenarios: Impact of interference on the exclusion limits from LHC data

机译:RD(*)驱动的S1杂种夸克场景:干扰对LHC数据排除极限的影响

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Motivated by the persistent anomalies in the semileptonic B -meson decays, we investigate the competency of LHC data to constrain the R D ( * ) -favored parameter space in a charge ? 1 / 3 scalar leptoquark ( S 1 ) model. We consider some scenarios with one large free coupling to accommodate the R D ( * ) anomalies. As a result, some of them dominantly yield nonresonant τ τ and τ ν events at the LHC through the t -channel S 1 exchange. So far, no experiment has searched for leptoquarks using these signatures and the relevant resonant leptoquark searches are yet to put any strong exclusion limit on the parameter space. We recast the latest τ τ and τ ν resonance search data to obtain new exclusion limits. The nonresonant processes strongly interfere (destructively in our case) with the Standard Model background and play the determining role in setting the exclusion limits. To obtain precise limits, we include non-negligible effects coming from the subdominant (resonant) pair and inclusive single leptoquark productions systematically in our analysis. To deal with large destructive interference, we make use of the transverse mass distributions from the experiments in our statistical analysis. In addition, we also recast the relevant direct search results to obtain the most stringent collider bounds on these scenarios to date. These are independent bounds and are competitive to other known bounds. Finally, we indicate how one can adopt these bounds to a wide class of models with S 1 that are proposed to accommodate the R D ( * ) anomalies.
机译:根据半轻子B介子衰变中的持续异常,我们研究了LHC数据在电荷中约束R D(*)有利参数空间的能力。 1/3标量le夸克(S 1)模型。我们考虑了一些具有大自由耦合的情况,以适应R D(*)异常。结果,它们中的一些主要通过t通道S 1交换在LHC处产生非共振的ττ和τν事件。到目前为止,还没有实验使用这些特征来搜索le夸克,并且相关的共振le夸克搜索尚未对参数空间设置任何强大的排除限制。我们重铸了最新的ττ和τν共振搜索数据,以获得新的排除极限。非共振过程会强烈干扰(在我们的案例中是破坏性的)标准模型背景,并在设置排除限制时起决定性作用。为了获得精确的限制,在我们的分析中,我们系统地包括了来自次要(共振)对和包容性单个le夸克产生的不可忽略的影响。为了处理较大的破坏性干扰,我们在统计分析中利用了实验中的横向质量分布。此外,我们还重铸了相关的直接搜索结果,以获取迄今为止这些场景中最严格的对撞机范围。这些是独立范围,并且与其他已知范围竞争。最后,我们指出了如何将这些界限应用于具有S 1的各种模型,这些模型被提出来适应R D(*)异常。

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