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arXiv 2302.08281hep-phhep-ex
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关于 LHC 上四顶夸克产生的 BSM 覆盖能力

On the BSM reach of four top production at the LHC

Anisha, Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Wrishik Naskar, Panagiotis Stylianou

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21 pages, 9 figures
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AI总结：

本文研究 LHC 四顶夸克末态探测 BSM 的能力，利用图神经网络提升 SM 分析性能，并借助四顶末态规避胶子融合中的相消干涉，增强双 Higgs 二重态模型等排除能力。

摘要：

许多超出标准模型（BSM）的物理情景会产生新的亲顶夸克相互作用，这些相互作用可在大型强子对撞机（LHC）等质子机器上通过多种产生和衰变模式进行探测。一方面，当取得发现并且能够在非主导产生模式中获得额外灵敏度时，这将使对 BSM 模型参数的详细测定成为可能。另一方面，由于干涉效应，在胶子融合等主导产生模式中采用朴素的窄宽度近似对于某些 BSM 参数区域可能并不充分，从而实际上使较不主导的产生模式在这类情形中更具相关性。在本工作中，我们在 LHC 上四顶夸克末态的背景下考虑这两个问题。首先，我们表明，通过应用有针对性的图神经网络技术，利用超越切割计数方法的数据关联，可以增强标准模型（SM）潜力。其次，我们表明，转向四顶夸克末态可在很大程度上避免可能削弱胶子融合亲顶夸克态 BSM 灵敏度的相消干涉效应。这为例如双 Higgs 二重态模型实现了相当可观的排除潜力。这进一步表明，四顶夸克末态是 LHC 近期 BSM 发现的灵敏工具。

英文摘要：

Many scenarios of beyond the Standard Model (BSM) physics give rise to new top-philic interactions that can be probed at proton machines such as the Large Hadron Collider through a variety of production and decay modes. On the one hand, this will enable a detailed determination of the BSM model's parameters when a discovery is made and additional sensitivity in non-dominant production modes can be achieved. On the other hand, the naive narrow width approximation in dominant production modes such as gluon fusion might be inadequate for some BSM parameter regions due to interference effects, effectively making less dominant production modes more relevant in such instances. In this work, we consider both these questions in the context of four top quark final states at the LHC. Firstly, we show that the SM potential can be enhanced through the application of targeted Graph Neural Network techniques that exploit data correlations beyond cut-and-count approaches. Secondly, we show that destructive interference effects that can degrade BSM sensitivity of top-philic states from gluon fusion are largely avoided by turning to four top final states. This achieves considerable exclusion potential for, e.g., the two Higgs doublet model. This further motivates four top final states as sensitive tools for BSM discovery in the near future of the LHC.

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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