Development of New Strategy and Tools for Simulations and Real Data Analysis in High Energy Physics

解码自然界基本理论是现代粒子物理学的中心任务，但这一任务只能通过使用先进的计算策略和技术来解决。已经提出了许多有前途的模型，但是还没有提出从粒子物理数据映射到不同理论的通用方法。本项目将开发与使用并行处理技术实现快速蒙特-卡罗模拟和符号矩阵元素评估相关的新想法。该项目的一个重要组成部分是通过重新解释现有分析或新分析的原型来区分模型，从而在模拟数据和真实的数据之间进行有效比较。此外，这个跨学科项目将探索新的计算方法和大数据技术及其在粒子物理学中的应用。该项目将进一步开发高能物理模型数据库-这是南安普顿大学创建的一个新项目，使用户能够在IRIDIS 4高性能计算集群上存储模型和运行蒙特卡罗模拟。设计了一个新的扩展程序PhenoData，使研究人员能够共享数字化的图表和表格，此外还可以对公开的分析代码进行编目-允许用户通过对撞机签名进行搜索。

The task of Decoding the Fundamental Theory of Nature is the central task for modern particle physics but it can only be solved by using advanced computing strategy and techniques. Many promising models have been suggested, however no generic approach for mapping from particle physics data to different theories has been proposed. This project will develop new ideas related to implementation of fast Monte-Carlo simulation and Symbolic Matrix element evaluation using parallel processing techniques. An important element of the project is an effective comparison between simulated and real data, by reinterpretation of existing analyses or prototyping of new analysis to discriminate between models. Furthermore, this interdisciplinary project will explore new computing approaches and large data techniques and their application to particle physics. This project will develop further the High Energy Physics Model Database - the novel project created at the University of Southampton which enables users to store models and run Monte Carlo simulations on the IRIDIS4 higher performance computing cluster. A new extension, PhenoData, was devised to enable researchers to share digitized plots and tables, in addition to cataloguing publicly available analyses code - allowing users to search by collider signatures.