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arXiv 2202.04874hep-ph
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受约束的中微子质量矩阵与Majorana相位

Constrained Neutrino Mass Matrix and Majorana Phases

Pralay Chakraborty, Manash Dey, Subhankar Roy

AI总结:

本研究从唯象学角度约束中微子质量矩阵,通过质量矩阵元的线性关系得到两类参数化下共53种不依赖模型的结构,可预言Majorana相位等振荡参数,并尝试用三类对称群实现这些结构。

摘要:

我们致力于从唯象学角度约束中微子质量矩阵,通过重点研究质量矩阵元之间的简单线性关系,得到不依赖于模型的结构形式。这些简单结构可预言两个Majorana相位。在此研究中,我们采用了两种中微子质量矩阵的参数化形式:通用参数化与指数参数化。我们共得到53种具有预言能力的中微子质量矩阵结构,其中28种属于通用参数化范畴,其余则属于指数参数化范畴。除Type-A/P结构外,其余结构还能预言部分其他振荡参数。我们尝试借助$A_4$、$Δ\text{(27)}$和$T_7$对称群来实现所提出的这些结构。

英文摘要:

We endeavor to constrain the neutrino mass matrix on the phenomenological ground and procure model-independent textures by emphasizing on the simple linear relationships among the mass matrix elements. These simple textures predict the two Majorana phases. In this regard, two types of parametrization of neutrino mass matrix: general and exponential are employed. We obtain fifty-three predictive neutrino mass matrix textures, out of which twenty-eight are associated with the general parametrization, and the rest belong to the exponential one. Apart from Type-A/P textures, the rest deal with the prediction of a few other oscillation parameters as well. We try to realize the proposed textures in the light of $A_4$, $Δ\,(27)$ and $T_7$ symmetry groups.

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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