On Precision of the Leptonic Mixing Angle $θ_{23}$ and its Implications for the Flavor Models

Son Cao, P. T. Quyen, N. T. Hong Van, Ankur Nath, T. V. Ngoc
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Abstract

Among three leptonic mixing angles, $\theta_{23}$ angle, which characterizes the fractional contribution of two flavor eigenstates $\nu_{\mu}$ and $\nu_{\tau}$ to the third mass eigenstate $\nu_3$, is known to be the largest but the least precisely measured. The work investigates possible reach of $\theta_{23}$ precision with two upcoming gigantic accelerator-based long-baseline neutrino experiments, namely Hyper-Kamiokande and DUNE experiments as well as a possible joint analyses of future neutrino facilities. Our simulation yields that each experiment will definitely establish the octant of $\theta_{23}$ angle for all values within 1$\sigma$ parameter interval, while considering the current limitation. However, if the actual value is $0.48\leq \sin^2\theta_{23}\leq 0.54$, it becomes challenging for these two experiments to reject the maximal ($\theta_{23}=\pi/4$) hypothesis and conclude its octant. This octant-blind region can be further explored with the proposed facilities ESSnuSB and a neutrino factory. Accurate determination of the mixing angle $\theta_{23}$, as well as the accuracy of $\delta_{CP}$, is crucial for examining a certain category of discrete non-Abelian leptonic flavor models. Specifically if CP is conserved in leptonic sector, the combined analysis of Hyper-K and DUNE will rule out the majority of these models. However, if the CP is maximally violated, higher precision of $\delta_{CP}$ is necessary for testing these flavor models.
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论列质子混合角 $θ_{23}$ 的精度及其对味模型的影响
在三种轻子混合角中,$theta_{23}$角是最大的,但却是测量最不精确的,它描述了两种味道特征状态$\nu_{mu}$和$\nu_{tau}$对第三种质量特征状态$\nu_3$的部分贡献。我们的模拟结果表明,在考虑到当前限制的情况下,每个实验都将确定所有值在1$\sigma$参数区间内的八θ_{23}$角。然而,如果实际值为 0.48 (leq \sin^2\theta_{23}\leq 0.54$),那么这两个实验要拒绝最大值($\theta_{23}=\pi/4$)假设并得出其八度角就变得很有挑战性。这个八盲区可以通过拟建的ESSnuSB和中微子工厂进一步探索。混角$theta_{23}$的精确测定以及$\delta_{CP}$的精确测定,对于分析某类离散的非阿贝尔轻子味道模型至关重要。具体地说,如果CP在轻子部门是守恒的,那么Hyper-K和DUNE的联合分析将排除这些模型中的大多数。然而,如果CP是最大违反的,那么就需要更高精度的$\delta_{CP}$来检验这些味道模型。
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