Theoretical Particle Physics at City, University of London

伦敦大学城市学院理论粒子物理学

• 批准号: ST/X000729/1
• 负责人: Bogdan Stefanski
• 金额: $ 34.09万
• 依托单位: City, University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FX000729%2F1
• 关键词: Theoretical; Particle; Physics; City; University

Particle physics is at a critical juncture. The LHC experiments have found the last missing element of the Standard Model: the Higgs boson, and placed stringent restrictions on possible new physics. At the same time, in the theoretical physics community there are outstanding problems in our understanding of quantum gauge and gravity theories, which undoubtedly would benefit from new observations at the LHC and other experiments. This project will investigate two key problems in modern theoretical physics.Firstly, we will examine strongly coupled gauge theories using the so-called gauge/string correspondence. Much remains to be learnt about strongly coupled gauge theories. There have been significant breakthroughs in understanding certain gauge theories using the gauge/string correspondence. In particular, our group has been at the forefront of developing mathematical methods known as integrability which provide us with a powerful tool with which to investigate strongly-interacting gauge theories with little supersymmetry as well as precision test holography. Our group has also been pioneering Lattice Field Theory methods for strings in holographic backgrounds. LFT is particularly effective, because the low-dimensionality of the string worldsheet (1+1d) and the anti-commuting scalar nature of Green-Schwarz fermions significantly reduce the processor power needed, while being applicable in a many physically-important holographic backgrounds. Low-supersymmetry gauge theories have also have intimate links to the mathematics of algebraic geometry and algebraic number theory that can be identified using Machine Learning methods. In this project we will significantly build on these results to exploit these new mathematical tools and methods to understand the strong-coupling dynamics of less supersymmetric gauge theories and their gauge/string dualities.Secondly, we will explore beyond-the-Standard-Model physics that can be obtained as a consistent low-energy theory from string theory. String theory has provided a framework for unifying gauge and gravity interactions into a single consistent quantum theory. One of the key challenges has been to identify particular examples of string theory compactifications which will lead to realistic low-energy physics. This has remained a major challenge since conventional algorithms have very long run-times. Our group has pioneered the use of novel Machine Learning methods to obtain high-precision, detailed information about stringy phenomenology models. We have also been at the forefront of precision analytic computation of non-perturbative effects that play a key role in string phenomenology. In this project we will exploit these developments to systematically chart the String Theory Landscape. The remarkable speed of the new methods means that we can explore physical properties of string models that were completely out of reach with conventional algorithms. Additionally, because of our strong links with Data and Computer Science experts, we are in a unique position to exploit the synergies that will arise in this multi-disciplinary Theoretical Physics-focused collaboration and their potential impact on a much wider set of applications.The combined expertise of our group, our track-record and our international and UK collaborators, places us in an ideal position to achieve the goals set-out above.

粒子物理学正处于关键时刻。大型强子对撞机的实验已经找到了标准模型中最后一个缺失的元素：希格斯玻色子，并对可能出现的新物理学施加了严格的限制。与此同时，在理论物理界，我们对量子规范和引力理论的理解存在着突出的问题，这无疑将受益于大型强子对撞机和其他实验的新观测。这个项目将研究现代理论物理中的两个关键问题。首先，我们将使用所谓的规范/弦对应来研究强耦合规范理论。关于强耦合规范理论，仍有许多有待研究之处。在使用规范/弦对应来理解某些规范理论方面已经有了重大突破。特别是，我们小组一直处于发展被称为可积性的数学方法的前沿，这些方法为我们提供了一个强大的工具，用来研究几乎没有超对称性的强相互作用规范理论以及精密测试全息术。我们小组也一直是全息背景中弦的格子场理论方法的先驱。LFT特别有效，因为弦WorldSheet(1+1D)的低维和Green-Schwarz费米子的反通勤标量性质显著降低了所需的处理器功率，同时适用于许多物理上重要的全息背景。低超对称性规范理论还与代数几何和代数数论的数学有着密切的联系，可以使用机器学习方法来识别它们。在这个项目中，我们将在这些结果的基础上，利用这些新的数学工具和方法来理解不太超对称的规范理论的强耦合动力学及其规范/弦对偶。其次，我们将探索超越标准模型的物理，它可以作为从弦理论获得的一致的低能理论。弦理论提供了一个框架，可以将规范和引力相互作用统一成一个统一的量子理论。关键的挑战之一是找出弦理论紧凑化的具体例子，这将导致现实的低能物理。这仍然是一个主要的挑战，因为传统的算法运行时间很长。我们的团队率先使用新的机器学习方法来获得关于串现象模型的高精度、详细的信息。在弦现象学中扮演关键角色的非微扰效应的精确解析计算方面，我们也走在了前列。在这个项目中，我们将利用这些发展来系统地绘制弦理论的图景。新方法的惊人速度意味着我们可以探索传统算法完全无法处理的弦模型的物理属性。此外，由于我们与数据和计算机科学专家的紧密联系，我们处于独特的地位，可以利用这种以理论物理为重点的多学科合作所产生的协同效应及其对更广泛的应用程序的潜在影响。我们团队的专业知识、我们的过往记录以及我们的国际和英国合作伙伴的综合专业知识，使我们处于实现上述目标的理想地位。