超出标准模型的新物理研究

本项目是本人所主持的面上项目“超出标准模型的新物理唯象研究”（今年年底结题）的延续和扩展。延续的部分是新物理理论的现象学，扩展的部分主要强调机器学习在探索新物理中的应用和理论模型的改进和构建。本项目拟研究的主要内容是：围绕暗物质、希格斯、缪子（muon）反常磁矩以及相关联的宇宙学问题（特别是与电弱重子数产生相关联的强一级电弱相变及其产生的引力波），紧密联系各种实验（包括LHC对撞机实验、暗物质的直接和间接寻找实验、缪子反常磁矩的测量实验等等），对超出标准模型的新物理理论进行深入系统的研究，理论模型的研究范围不仅仅包含超对称理论，还将扩展思路而对非超对称理论进行探索，通过现象学分析和机器学习深度网路的运用，搞清楚符合实验的理论模型和参数空间，进一步改进已有的理论模型并构建新的模型。这有助于为新物理指明可能的方向。

This proposed project is the continuation and extension of my current project "The phenomenological study of new physics beyond the standard model" which will be concluded at the end of this year. The continuation part is the phenomenological study of various new physics models, while the extension part emphasizes the application of machine learning in new physics exploration, the improvement of the existing models and the building of new models. The main contents of this proposed project include: focusing on the issues of dark matter, Higgs boson and muon g-2 as well as the correlated cosmological issues (especially the strong first-order electroweak phase transition in the electroweak baryogenesis and the induced gravitional wave) and considering various experimental results (such as LHC experiments, the direct and indirect dark matter detections, the precise measurement of muon g-2), we propose to systematically and extensively study various new physics beyond the standard model. We will not only intensively examine the supersymmetric theories, but also extend the study to some non-supersymmetric models. Through the phenomenological study and the application of machine learning deep neural network, we try to figure out which theories and parameter spaces are allowed by experiments. Further, we try to renovate the existing theories and build up new models. Our aim is to shed some light on the directions of new physics.