论文标题
基于$ a_ {4} $对称性
A hybrid seesaw model and hierarchical neutrino flavor structures based on $A_{4}$ symmetry
论文作者
论文摘要
我们提出了一个基于$ a_ {4} $风味对称性的混合seeSaw模型，该模型产生了较大的分层风味结构。在我们的模型中，树级和单环SEESAW机制预测了中微子质量基质中的不同风味结构，并在其中产生了一个显着的层次结构。我们发现，这种层次结构可提供较大的有效中微子质量，可以通过下一代中微子双β衰变实验来访问。主要阶段也可以预测。模型中的$ a_ {4} $风味对称性自发地破坏了$ z_ {2} $对称性，导致暗物质候选者被认为是中性标量字段。暗物质的偏爱质量区域是通过对遗物丰度的数值计算和核子的横截面获得的。我们还研究了基于$ A_ {4} $对称性的几种分层风味结构的预测，用于有效中微子质量和Majoraana阶段，并根据分层结构找到特征特征。
We propose a hybrid seesaw model based on $A_{4}$ flavor symmetry, which generates a large hierarchical flavor structure. In our model, tree-level and one-loop seesaw mechanisms predict different flavor structures in the neutrino mass matrix, and generate a notable hierarchy among them. We find that such a hierarchical structure gives a large effective neutrino mass which can be accessible by next-generation neutrinoless double beta decay experiments. Majorana phases can also be predictable. The $A_{4}$ flavor symmetry in the model is spontaneously broken to the $Z_{2}$ symmetry, leading to a dark matter candidate which is assumed to be a neutral scalar field. The favored mass region of the dark matter is obtained by numerical computations of the relic abundance and the cross section of the nucleon. We also investigate the predictions of the several hierarchical flavor structures based on $A_{4}$ symmetry for the effective neutrino mass and the Majorana phases, and find the characteristic features depending on the hierarchical structures.
