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

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.

我的未来领导者奖学金已经证明，在数据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。在我的奖学金延续中，我将把第一个奖学金期间学到的经验应用于粒子物理实验的未来，在寻求理解我们的宇宙时，数据速率预计会更大。传统上，实验已经在3D中重建了粒子碰撞，提供了碰撞的图像，分析师可以研究这些图像以寻找新的物理学。随着碰撞变得更大和更复杂，这种重建对于当前的计算技术变得越来越具有挑战性。在我的后续部分中，我将在粒子碰撞的实时重建中增加第四维，即时间，以减少这种复杂性，并提高我们在最小尺度上探测宇宙的精度。我将领导国际研发活动，研究我们如何使用商业上可用的技术处理这些数据，以确保未来的实验能够继续处理他们预期产生的大量数据。