Searching for new physics in top-quark events with the ATLAS experiment at the LHC and parallel processing in the ATLAS trigger.

顶夸克是迄今为止观测到的最重的基本粒子。它在标准模型（SM）理论之外的许多理论中起着至关重要的作用，新的物理学可能会出现与标准模型预测的微妙偏差。大型强子对撞机（LHC）的高能量和高亮度导致顶夸克对产生的大横截面，从而为顶夸克的精确测量提供了可能。该项目的首要目标是利用ATLAS实验收集的run-2和run-3数据对顶夸克进行精确测量。学生将应用新技术来减少系统的不确定度，这通常限制了许多测量的精度。测量结果将使用有效场论进行解释，任何与SM的偏差都将是该领域的一个里程碑。大型强子对撞机ATLAS实验数据的成功采集依赖于触发系统的运行。现代计算体系结构的发展要求具有许多处理核心和更少的每核内存，这意味着在未来，能够在ATLAS触发系统中运行高度并行的算法将是必不可少的。该项目的第二个目标是探索这些算法在升级后的ATLAS触发系统的μ子触发中的潜力，该系统将用于高亮度LHC升级。该项目符合STFC“世界级研究”的目标，并符合STFC数据密集型科学的主题。这项研究将与ATLAS合作的其他成员合作进行。

The top-quark is the heaviest fundamental particle observed to date. It plays a crucial role in many beyond the Standard Model (SM) theories and new physics could appear as subtle deviations from the SM predictions. The high energy and luminosity of the Large Hadron Collider (LHC) result in a large production cross-section for top-quark pair production and hence offers the possibility for precision measurements of the top quark. The first aim of this project is to use the run-2 and run-3 data collected by the ATLAS experiment to make precision measurements of the top quark. The student will apply novel techniques to reduce the systematic uncertainties, which typically limit the precision of many measurements. The measurements will be interpreted using Effective Field Theory and any deviation from the SM would be a milestone in the field.The successfully collection of data with the ATLAS experiment at the LHC relies on the operation of the trigger system. The development of modern computing architectures to have many processing cores and less memory per core means that in the future it will be essential to be able to run highly parallel algorithms in the ATLAS trigger system. The second aim of the project is to explore the potential of such algorithms in the muon trigger for the upgraded ATLAS trigger system that will be deployed for the high luminosity LHC upgrade.The project is aligned with STFCs goal for "World Class Research" and fits within the STFC theme for data-intensive science. The research will be done in collaboration with other members of the ATLAS collaboration.