arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.08940hep-ph
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R对称翻转SU(5)

R-Symmetric Flipped SU(5)

Koichi Hamaguchi, Shihwen Hor, Natsumi Nagata

摘要:

我们构造了一个具有$R$对称性的超对称翻转SU(5)大统一模型。这种$R$对称性阻止了危险的不可重整化算符被截止尺度抑制到足够大的质量维度,因此SU(5)破缺的希格斯场在超导破缺效应的帮助下,沿着$F$ -和$D$ -平坦方向发展出统一尺度量级的真空期望值。Higgs场的质量项也被$R$对称性所禁止,利用该对称性解决了双重态-三重态分裂问题。右手中微子的质量是由不可重整化的算符产生的,然后产生轻中微子质量谱,并通过与中微子振荡数据一致的跷跷板机制混合。这个模型预测其中一个颜色三重态的希格斯多重态位于中间尺度,并且它的质量被质子衰变实验限制为$\gtrsim 5 \times 10^{11}$ GeV。如果它是$\lesssim 10^{12}$ GeV,未来的质子衰变实验在Hyper-Kamiokande可以测试我们的模型在$p \to π^0 μ^+$和$p \to K^0 μ^+$衰变模式,在普通的大统一模型中,$p \to π^0 e^+ $或$p \to K^+ \barν$是占主导地位的衰变模式。质子衰变分支的这种特征预测使我们能够将我们的模型与其他场景区分开来。

英文摘要:

We construct a supersymmetric flipped SU(5) grand unified model that possesses an $R$ symmetry. This $R$ symmetry forbids dangerous non-renormalizable operators suppressed by a cut-off scale up to sufficiently large mass dimensions so that the SU(5)-breaking Higgs field develops a vacuum expectation value of the order of the unification scale along the $F$- and $D$-flat directions, with the help of the supersymmetry-breaking effect. The mass terms of the Higgs fields are also forbidden by the $R$ symmetry, with which the doublet-triplet splitting problem is solved with the missing partner mechanism. The masses of right-handed neutrinos are generated by non-renormalizable operators, which then yield a light neutrino mass spectrum and mixing through the seesaw mechanism that are consistent with neutrino oscillation data. This model predicts one of the color-triplet Higgs multiplets to lie at an intermediate scale, and its mass is found to be constrained by proton decay experiments to be $\gtrsim 5 \times 10^{11}$ GeV. If it is $\lesssim 10^{12}$ GeV, future proton decay experiments at Hyper-Kamiokande can test our model in the $p \to π^0 μ^+$ and $p \to K^0 μ^+$ decay modes, in contrast to ordinary grand unified models where $p \to π^0 e^+ $ or $p \to K^+ \barν$ is the dominant decay mode. This characteristic prediction for the proton decay branches enables us to distinguish our model from other scenarios.

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