Theoretical subatomic physics

这项研究的目标是精确预测也在实验中研究的亚原子系统的性质。理论值和实测值的比较检验了我们对基本相互作用的理解，准确地确定了物理常数，并最终将导致新现象的发现。 为了实现这些目标，我的团队将理论物理的方法与计算科学和数学的方法结合起来。我们开发算法，使计算机能够处理大型代数表达式，并使用计算机集群来求解庞大的方程系统。我们还用数值方法揭示了简单原子的结构。 目前，我们主要关注重夸克产生和衰变过程中强相互作用和弱相互作用的相互作用，单电子原子和少电子原子的动力学，以及涉及介子和中子的各种“新物理”探测器。 我们的项目已经改善了对基本参数的了解，如电子质量、Muon和电子磁矩、重夸克的寿命以及描述各种类型夸克之间跃迁的矩阵元素。这项拟议的研究将提高精细结构常数的准确性，并加深我们对物质基本成分行为的理解。 这项研究为培养学生提供了一个极好的机会。他们接触到广泛的物理系统，从高能重夸克过程到陷阱中的低能粒子，并学习确定它们的相关特征，如特征能量尺度。他们学习复杂的编程技能，在学术界之外也很有用。由于我们的大部分项目都是与国际组织合作完成的，学生们建立了一个全球联系网络，并获得了与来自其他地区的研究人员合作的经验，从日本和越南到西欧和俄罗斯。

The goal of this research is to precisely predict properties of subatomic systems that are also studied experimentally. Comparisons of theoretical and measured values test our understanding of fundamental interactions, accurately determine physical constants, and will ultimately lead to the discovery of new phenomena. In order to accomplish these goals, my group combines methods of theoretical physics with those of computing science and mathematics. We develop algorithms to enable computers to tackle large algebraic expressions, and use clusters of computers to solve huge systems of equations. We also use numerical methods to reveal the structure of simple atoms. At present we focus on the interplay of strong- and weak-interactions in the heavy quark production and decays, on the dynamics of one- and few-electron atoms, and on a variety of "new physics" probes involving muons and neutrons. Our projects have already improved the knowledge of fundamental parameters such as the electron mass, muon and electron magnetic moment, lifetimes of heavy quarks and elements of the matrix describing transitions among various types of quarks. The proposed research will increase the accuracy of the fine structure constant and deepen our understanding of the behavior of fundamental constituents of matter. This research provides an excellent opportunity to train students. They are exposed to a broad range of physical systems, from high-energy heavy quark processes to low-energy particles in traps, and learn to determine their relevant features such as characteristic energy scales. They learn sophisticated programming skills, useful also outside academia. Since most of our projects are completed in collaboration with international groups, students develop a global network of contacts and gain experience working with researchers from other regions, ranging from Japan and Vietnam to Western Europe and Russia.