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arXiv 1702.00797hep-ph
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双Higgs模型的精度检验和微调

Precision Tests and Fine Tuning in Twin Higgs Models

Roberto Contino, Davide Greco, Rakhi Mahbubani, Riccardo Rattazzi, Riccardo Torre

摘要:

我们分析了双希格斯(TH)理论的参数结构,并评估增益微调,它们使相比,扩展的标准模型与有色的顶级合作伙伴。估计表明,至少在TH思想的最简单实现中,新的有色粒子的质量和电弱尺度之间的分离是由基础UV理论的耦合强度控制的,并且只有强耦合动力学才能实现参数增益。出于这种考虑,我们专注于这些简单的实现,即复合TH理论,并研究如何以及这种结构可以重现电弱精度数据。孪生态的最重要的影响被发现是对希格斯四次耦合的红外贡献,而对电弱观测量的直接修正是次主导的,可以忽略不计。我们执行一个仔细的适合的电弱数据,包括领先的对数校正希格斯四次曲线多达三个循环。我们的分析表明,与电弱精密测试的协议可以实现只有适度的调整,在5-10\%的范围内,在理论中,色态的质量为3-5 TeV的顺序,因此,在大型强子对撞机的范围。对于这些水平的调整,较大的质量被排除在一个微扰约束,这使得这些理论可能是可验证的,因此可证伪的,只有在未来的100 TeV对撞机。

英文摘要:

We analyze the parametric structure of Twin Higgs (TH) theories and assess the gain in fine tuning which they enable compared to extensions of the Standard Model with colored top partners. Estimates show that, at least in the simplest realizations of the TH idea, the separation between the mass of new colored particles and the electroweak scale is controlled by the coupling strength of the underlying UV theory, and that a parametric gain is achieved only for strongly-coupled dynamics. Motivated by this consideration we focus on one of these simple realizations, namely composite TH theories, and study how well such constructions can reproduce electroweak precision data. The most important effect of the Twin states is found to be the infrared contribution to the Higgs quartic coupling, while direct corrections to electroweak observables are sub-leading and negligible. We perform a careful fit to the electroweak data including the leading-logarithmic corrections to the Higgs quartic up to three loops. Our analysis shows that agreement with electroweak precision tests can be achieved with only a moderate amount of tuning, in the range 5-10\%, in theories where colored states have mass of order 3-5 TeV and are thus out of reach of the LHC. For these levels of tuning, larger masses are excluded by a perturbativity bound, which makes these theories possibly discoverable, hence falsifiable, only at a future 100 TeV collider.

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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