OpenMAPP: open meta-analysis in particle physics

OpenMAPP：粒子物理学中的开放元分析

• 批准号: EP/Y036360/1
• 负责人: Andrew Buckley
• 金额: $ 15.2万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 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=EP%2FY036360%2F1
• 关键词: OpenMAPP; open; meta; analysis; particle

Modern particle physics experiments are conducted via huge international facilities and collaborations, resulting in hundreds of scientific papers aimed at myriad types of measurement. More than a decade of activity at the Large Hadron Collider in particular has failed to show up strong statistical evidence for any "simple" hypothetical models of new physics, but that does not mean that these studies have been worthless -- rather, their full power has not been exploited because they have been considered in isolation. If we could combine them all together, we should be able to make much stronger investigations of new-physics models, including more complex ones far beyond those which originally motivated each study.Unfortunately, the existing studies are not gathered together in a single format for repurposing: they are stored in different ways, across different systems and databases, and with their essential data and code designed for use in different toolkits. The OpenMAPP project will build the necessary links between these systems to allow their combination, by extending Web applications, controlling simulations and gathering predictions in a common statistical format, and figuring out how to combine measurements in a consistent way. These systems will also provide an ecosystem within which new experimental studies can be designed and stored better than before, so the particle physics of the future can always be used in combination with measurements from the past.

现代粒子物理实验是通过庞大的国际设施和合作进行的，导致数百篇针对多种测量的科学论文。特别是在大型强子对撞机上的十多年活动未能显示出任何新物理学的“简单”假设模型的强有力的统计证据，但这并不意味着这些研究是毫无价值的 - 而是由于它们被孤立地考虑了它们的全部力量。如果我们可以将它们结合在一起，那么我们应该能够对新物理模型进行更深入的研究，包括更复杂的模型，远远超出了最初动机的研究。 OpenMapp项目将通过扩展Web应用程序，控制模拟和以通用统计格式收集预测，并弄清楚如何以一致的方式组合测量，从而允许它们的组合建立必要的链接，以允许它们的组合。这些系统还将提供一个生态系统，在该生态系统中，可以比以前更好地设计和存储新的实验研究，因此未来的粒子物理可以与过去的测量结合使用。