论文标题
E6启发的331型模型的新参数化和分析
New parameterization and analysis for E6 inspired 331 model
论文作者
论文摘要
我们提出了一个新的参数化，用于$ e_6 $启发的$ su（3）_C \ times su（3）_l \ times u（1）_x $ suftension the Standard Model的扩展。新设置可以预测所有Cabibbo-Kobayashi-Maskawa混合角度和夸克质量，总计九个可观察变量，在实验值的1-3个标准偏差之内，最小数量的输入参数。提出了输入参数和预测数量之间的详细数值分析和相关性。最好的全局拟合基准点对应于$χ^2 \约0.7 $，$ \forallσ<0.6 $。还讨论了新的参数化和未来前景的优势。
We present a new parameterization for $E_6$ inspired $SU(3)_C\times SU(3)_L\times U(1)_X$ extension of the Standard Model. New setup predicts all Cabibbo-Kobayashi-Maskawa mixing angles and quark masses, total of nine observable variables, within 1-3 standard deviations of the experimental values with a minimum number of input parameters. A detailed numerical analysis and correlations between input parameters and predicted quantities are presented. The best global fit benchmark point corresponds to $χ^2\approx 0.7$ with $\forallσ<0.6$. Advantages of the new parameterization and future prospects are discussed as well.
