The Universe Connected: Real-Time Analysis for the science drivers of the future

连接的宇宙：未来科学驱动因素的实时分析

• 批准号: MR/Y01166X/1
• 负责人: Conor Fitzpatrick
• 金额: $ 75.89万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FY01166X%2F1
• 关键词: Universe; Connected; Real; Time; Analysis; Universe; Connected; Real; Time; Analysis

My Future Leaders Fellowship has proven that analysing data in real-time before it is stored can increase the precision and reduce the costs associated with the enormous amounts of data produced by large-scale, cutting-edge science experiments. In my Fellowship continuation, I will apply the lessons learned in the first fellowship period to the future of Particle Physics experiments, where, in the quest to understand our universe, data rates are expected to be even larger. Traditionally, experiments have reconstructed particle collisions in 3D, providing an image of the collision which can be studied by analysts to look for new physics. As collisions become larger and more complicated, this reconstruction becomes increasingly challenging with current computing technologies. In my continuation I will add a fourth dimension, timing, to the real-time reconstruction of particle collisions in order to reduce this complexity and increase the precision to which we can probe the universe at the smallest scales. I will lead international R&D activities to study the way in which we process this data using commercially available technologies to ensure that future experiments can continue to process the wealth of data they are expected to produce.

我未来的领导者奖学金已经证明，在存储之前实时分析数据可以提高精度并降低与大规模，尖端科学实验产生的大量数据相关的成本。在奖学金的持续时间里，我将在第一个奖学金期内将经验教训应用于粒子物理实验的未来，在这些实验中，为了了解我们的宇宙，预计数据速率将更大。传统上，实验在3D中重建了粒子碰撞，提供了碰撞的图像，分析师可以研究新物理学。随着碰撞变得更大，更复杂，通过当前的计算技术，这种重建变得越来越具有挑战性。在我的延续中，我将在粒子碰撞的实时重建中添加第四维，以降低这种复杂性并提高我们可以在最小尺度上探测宇宙的精度。我将领导国际研发活动，以研究我们使用市售技术处理此数据的方式，以确保未来的实验可以继续处理他们期望产生的大量数据。