Investigations in High Energy Physics

这个拟议的项目将解决这样一个问题，即目前和未来的粒子加速器，特别是欧洲核子研究中心的大型强子对撞机(LHC)的实验如何帮助我们理解粒子物理、电弱对称破缺和暗物质的标准模型。计划中的部分项目专注于理论模型，这些模型可以同时解释电弱对称破缺的规模和以弱相互作用大质量粒子的形式存在的暗物质的性质。将比较不同的模型及其潜在的实验特征，以开发与模型无关的分析技术。拟议的研究工作虽然是理论上的，但将直接有益于大型强子对撞机的实验合作。该项目的另一部分重点是重夸克、对撞机和引力物理的有效场论应用。特别是发展了一种计算低x物理的有效场论，并利用引力的有效场论来研究LIGO和LISA感兴趣的问题。这一提议的更广泛影响是，该项目审查了几个基本问题，包括与现在和未来几代粒子加速器直接相关的现象学问题。所研究的问题将直接影响对这些设施结果的解释。建议的项目非常适合不同水平的学生参与，让他们获得理论物理、数学方法、计算机编程和数据分析方面的知识和技能。

The proposed project will address the question of how experiments at current and future particle accelerators, in particular the Large Hadron Collider (LHC) at CERN, can help us understand the Standard Model of Particle Physics, electroweak symmetry breaking and dark matter. Part of the planned project focuses on theoretical models that can simultaneously explain the scale of electroweak symmetry breaking and the nature of dark matter in the form of weakly interacting massive particles. Different models and their potential experimental signatures will be compared, in order to develop model-independent analysis techniques. The proposed research work, while theoretical in nature, will be directly beneficial for the experimental LHC collaborations. The other part of the project focuses on effective field theory applications for heavy quark, collider, and gravitational physics. In particular developing an effective field theory for calculating low-x physics and the use of an effective field theory for gravity to investigate questions of interest to LIGO and LISA. The broader implications of this proposal are that this project examines several fundamental issues including questions of direct phenomenological relevance to present and future generations of particle accelerators. The issues studied will have a direct bearing on the interpretation of results from these facilities. The proposed project is well suited for the participation of students at different levels, allowing them to acquire knowledge and skills in theoretical physics, mathematical methods, computer programming and data analysis.