论文标题
在左右模型中删除seesaw-一般情况的算法
Disentangling the Seesaw in the Left-Right Model -- An Algorithm for the General Case
论文作者
论文摘要
Senjanovic和Tello分析了人们如何在最小左右模型中确定中微子Dirac质量基质,假设可以将光和重中微子的质量矩阵作为输入。他们为Dirac质量矩阵提供了一个分析解决方案,即通过广义平价对称性实现左右对称性,并且这种对称性在Dirac Yukawa扇区中保持不变。我们将Senjanovic和Tello的工作扩展到了Dirac Yukawa行业中普遍的平价对称性的情况。在这种情况下,Senjanovic和Tello概述的优雅方法崩溃了,我们需要采用一种数值方法。描述了几种迭代方法;这些在某些情况下被发现起作用,但在其他情况下非常不稳定。描述了一种稳定的规定数值算法,除了消失的少数情况外,所有算法都可以使用。我们将此算法应用于与中微子质量和混合的当前实验约束一致的数值数据集。我们还为平均对称性不间断的情况提供了一些其他上下文和支持解释。
Senjanovic and Tello have analyzed how one could determine the neutrino Dirac mass matrix in the minimal left-right model, assuming that the mass matrices for the light and heavy neutrinos could be taken as inputs. They have provided an analytical solution for the Dirac mass matrix in the case that the left-right symmetry is implemented via a generalized parity symmetry and that this symmetry remains unbroken in the Dirac Yukawa sector. We extend the work of Senjanovic and Tello to the case in which the generalized parity symmetry is broken in the Dirac Yukawa sector. In this case the elegant method outlined by Senjanovic and Tello breaks down and we need to adopt a numerical approach. Several iterative approaches are described; these are found to work in some cases but to be highly unstable in others. A stable, prescriptive numerical algorithm is described that works in all but a vanishingly small number of cases. We apply this algorithm to numerical data sets that are consistent with current experimental constraints on neutrino masses and mixings. We also provide some additional context and supporting explanations for the case in which the parity symmetry is unbroken.