Searches for dark jets with novel data-taking techniques and machine learning in the ATLAS detector

在 ATLAS 探测器中利用新颖的数据采集技术和机器学习来搜索暗喷流

• 批准号: 2829480
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2829480
• 关键词: Searches; dark; jets; novel; data

In this PhD project the student will use novel data taking and machine learning techniques to gain insight on the particle nature of dark matter, using data recorded by the ATLAS experiment from proton-proton collisions at the Large Hadron Collider. The student will play a leading role in recording new datasets, and use them to search for dark matter particles predicted by theoretical hypotheses that have not yet been explored.

在这个博士项目中，学生将使用新的数据获取和机器学习技术来洞察暗物质的粒子性质，使用ATLAS实验在大型强子对撞机上从质子-质子碰撞中记录的数据。学生将在记录新的数据集方面发挥主导作用，并使用它们来搜索尚未被探索的理论假设所预测的暗物质粒子。