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.

粒子物理处于关键时刻。 LHC实验发现了标准模型的最后一个缺失元素：Higgs Boson，并对可能的新物理进行了严格的限制。同时，在理论物理学界，我们对量子规和重力理论的理解有着重要的问题，毫无疑问，这将受益于LHC和其他实验的新观察结果。该项目将研究现代理论物理学中的两个关键问题。首先，我们将使用所谓的量规/字符串对应关系进行强烈耦合的规格理论。关于强烈耦合的量规理论还有很多尚待了解。使用量规/字符串对应关系理解某些量规理论的突破是显着的。特别是，我们的小组一直处于开发数学方法的最前沿，称为集成性，该方法为我们提供了一种强大的工具，可以使用几乎没有超对称性以及精确测试全息图研究强烈相互关联的量规理论。我们的小组也一直在开创了全息背景中字符串的晶格场理论方法。 LFT特别有效，因为字符串世界表（1+1D）的低维度和绿色 - 雪橇式费米子的反交换标量性质大大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。低苏格对称量表的理论还与代数几何学的数学和代数数理论具有密切的联系，可以使用机器学习方法来识别。在这个项目中，我们将大力基于这些结果，以利用这些新的数学工具和方法，以了解较不超对称规格理论及其规格/弦乐二元性的强耦合动力。字符串理论提供了一个将仪表和重力相互作用统一为单个一致的量子理论的框架。主要挑战之一是确定弦理论压缩的特定例子，这将导致现实的低能物理学。由于传统算法的运行时间很长，因此这仍然是一个重大挑战。我们的小组率先使用新型机器学习方法来获得有关弦乐现象学模型的高精度，详细信息。我们也一直处于非扰动效应的精确分析计算的最前沿，这些计算在弦现象学中起着关键作用。在这个项目中，我们将利用这些发展来系统地绘制字符串理论格局。新方法的显着速度意味着我们可以探索常规算法完全无法触及的字符串模型的物理性能。此外，由于我们与数据和计算机科学专家的牢固联系，我们处于独特的位置，可以利用这种以理论为中心的物理学合作及其对广泛应用程序的潜在影响的协同作用。我们小组的综合专业知识，我们的小组，我们的赛道和我们的赛道和我们的国际和英国合作者，在我们的目标中获得理想的工作，以实现优秀的地位。