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arXiv 0810.2561hep-thhep-ph
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高斯景观中的中微子混合和质量等级

Neutrino mixing and mass hierarchy in Gaussian landscapes

Lawrence J. Hall, Michael P. Salem, Taizan Watari

摘要:

标准模型的风味结构可能来自于对景观的随机选择。在一类称为“高斯景观”的简单模型中,汤川耦合来自额外维空间上高斯零模波函数的重叠积分。真空的统计是通过扫描这些波函数的峰值位置产生的,给出了所有味观测值的概率分布。高斯景观可以解释味的所有主要特征,包括夸克扇区中的小电弱混合和轻子扇区中观察到的大混合。我们发现大的轻子混合直接源于内部流形上具有宽波函数的轻子二重态。在跷跷板机制的假设下,我们发现中微子的质量等级对右手中微子的数量很敏感,并且可以很好地拟合中微子振荡的测量。

英文摘要:

The flavor structure of the Standard Model may arise from random selection on a landscape. In a class of simple models, called "Gaussian landscapes," Yukawa couplings derive from overlap integrals of Gaussian zero-mode wavefunctions on an extra-dimensional space. Statistics of vacua are generated by scanning the peak positions of these wavefunctions, giving probability distributions for all flavor observables. Gaussian landscapes can account for all of the major features of flavor, including both the small electroweak mixing in the quark sector and the large mixing observed in the lepton sector. We find that large lepton mixing stems directly from lepton doublets having broad wavefunctions on the internal manifold. Assuming the seesaw mechanism, we find the mass hierarchy among neutrinos is sensitive to the number of right-handed neutrinos, and can provide a good fit to neutrino oscillation measurements.

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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