最小味DFSZ轴子模型：预测性汤川纹理与味约束
Minimal Flavoured DFSZ Axion Models: Predictive Yukawa Textures and Flavour Constraints
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- ARC Centre of Excellence for Dark Matter Particle Physics, School of Physics, The University of Melbourne（墨尔本大学物理学院暗物质粒子物理卓越中心）
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中文总结 AI 辅助
该研究提出最小味DFSZ轴子模型，通过纹理零质量矩阵预测夸克汤川耦合，同时解决强CP和畴壁问题，并从味观测量约束新物理尺度。
中文摘要 AI 辅助
我们研究了一类具有预测性的味DFSZ轴子模型，其中Peccei-Quinn对称性完全水平且畴壁数为1。这些最小F-DFSZ模型同时解决了强CP问题并避免了暴胀后畴壁问题，同时强制实现了具有纹理零的夸克质量矩阵的预测性结构。值得注意的是，整个夸克汤川扇区可以根据测量的夸克质量和Cabibbo-Kobayashi-Maskawa参数进行重建。我们推导了由此产生的味破坏希格斯和轴子耦合的解析表达式，从而明确展示了新物理效应如何由标准模型可观测量决定。然后，我们分析了该框架的完整味现象学，并从精密味观测量中获得了新物理尺度的界限。
英文摘要
We study a predictive class of flavoured DFSZ axion models in which the Peccei--Quinn symmetry is fully horizontal and the domain wall number is unity. These Minimal F-DFSZ models simultaneously resolve the strong CP problem and avoid the post-inflationary domain wall problem, while enforcing a predictive set of texture-zero quark mass matrices. Remarkably, the entire quark Yukawa sector can be reconstructed in terms of the measured quark masses and Cabibbo--Kobayashi--Maskawa parameters. We derive analytic expressions for the resulting flavour-violating Higgs and axion couplings, thereby making explicit how the new-physics effects are determined by Standard Model observables. We then analyse the full flavour phenomenology of the framework and obtain bounds on the scale of new physics from precision flavour observables.
