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arXiv 1908.02302hep-phhep-ex
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用GAMBIT对三个右手中微子的频率论分析

A frequentist analysis of three right-handed neutrinos with GAMBIT

Marcin Chrzaszcz, Marco Drewes, Tomas E. Gonzalo, Julia Harz, Suraj Krishnamurthy, Christoph Weniger

摘要:

右手中微子对标准模型的推广不仅可以用跷跷板机制解释活动中微子的质量,而且可以解决宇宙学中一些长期存在的问题。特别是,低于TeV规模的质量是特别感兴趣的,因为它们可以在实验搜索中导致过多的签名。我们提出了第一个完整的频率论分析的扩展标准模型的三个右手中微子,质量在60 MeV和500 GeV之间,使用全球和模块化的BSM(超越标准模型)推理工具GAMBIT。我们的分析是基于Casas-Ibarra参数化,包括大范围的实验约束:主动中微子混合,间接约束,例如,电弱精确观测和轻子普适性,以及对右手中微子的大量直接搜索。为了研究它们的整体效果,我们推导出现象学上最相关的参数预测的组合轮廓似然结果。此外,我们讨论的作用(边缘)统计优选区域的参数空间。最后,我们探讨了不同的最轻中微子质量值的三个右手中微子的味道混合模式。我们的研究结果包括最全面的评估模型与三右手中微子模型低于TeV规模到目前为止,并提供了一个强大的地面探索未来的约束或检测的影响。

英文摘要:

The extension of the Standard Model by right-handed neutrinos can not only explain the active neutrino masses via the seesaw mechanism, it is also able solve a number of long standing problems in cosmology. Especially, masses below the TeV scale are of particular interest as they can lead to a plethora of signatures in experimental searches. We present the first full frequentist analysis of the extension of the Standard Model by three right-handed neutrinos, with masses between 60 MeV and 500 GeV, using the Global and Modular BSM (beyond the Standard Model) Inference Tool GAMBIT. Our analysis is based on the Casas-Ibarra parametrisation and includes a large range of experimental constraints: active neutrino mixing, indirect constraints from, e.g., electroweak precision observables and lepton universality, and numerous direct searches for right-handed neutrinos. To study their overall effect, we derive combined profile likelihood results for the phenomenologically most relevant parameter projections. Furthermore, we discuss the role of (marginally) statistically preferred regions in the parameter space. Finally, we explore the flavour mixing pattern of the three right-handed neutrinos for different values of the lightest neutrino mass. Our results comprise the most comprehensive assessment of the model with three right-handed neutrinos model below the TeV scale so far, and provide a robust ground for exploring the impact of future constraints or detections.

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