New Techniques for New Physics Searches at the CERN Large Hadron Collider

欧洲核子研究中心大型强子对撞机的新物理搜索新技术

• 批准号: DP220100007
• 负责人: Prof Paul Jackson
• 金额: $ 42.98万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-07-20 至 2026-07-19
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220100007
• 关键词: New; Techniques; Physics; Searches; CERN

This project aims to break new ground in the quest to discover the existence of new fundamental constituents of nature. In order to achieve this, the team will invent and deploy a suite of advanced machine learning and anomaly detection techniques, developed by the chief investigators, to mine the data processed and collected with the ATLAS experiment at the CERN Large Hadron Collider throughout the entirety of the next data taking run. Expected outcomes of this project include the first application of revolutionary anomaly detection methods to fundamental physics, probing unexplored space in the process, and enhancing the capacity and development of future leaders in Australian science and technology at the forefront of data analytics.

该项目旨在打破新的基础，以寻求发现自然的新基本成分的存在。为了实现这一目标，团队将发明和部署由首席研究人员开发的一套高级机器学习和异常检测技术，以在下一个下一个数据进行运行的整个数据中，在CERN大型强子撞机的Atlas实验中挖掘和收集的数据。 该项目的预期结果包括革命性异常检测方法在基本物理学上的首次应用，在过程中探测未开发的空间，并在数据分析的前沿增强了澳大利亚科学和技术未来领导者的能力和发展。