Web-Based High-Energy Particle Physics Event Generation

该项目解决了为高能粒子物理研究开发精确事件模拟的迫切需要。它有两个主要目标。第一个是扩展MadGraph/MadEvent软件包的范围和功能，以允许模型构建者使用他们喜欢的拉格朗日语言与MadGraph一起工作，让现象学家更好地控制生成的过程，并允许实验者将这些工具无缝集成到他们的分析环境中。第二个重点将是在伊利诺伊大学开发人力资源和专业知识，以充分利用这些工具分析大型强子对撞机（LHC）的数据。研究生将培养参与LHC数据将提供的令人兴奋的发现所需的技能，博士后研究助理将接受必要的培训，与理论家和实验学家一起创建数据分析所需的相关模拟。该提案的一个关键部分是HEP网格计算代码的优化。网格的巨大计算资源将允许在短时间内生成实验分析所需的数百万个未加权事件。也许更重要的是，通过迁移到与网格兼容的格式，实验者将能够将MadEvent完全纳入他们的分析环境。该项目将创建一个共同的平台，每个人都可以有效地工作。这个通用平台将大大减少从模型开发到现象学分析再到实验分析和发现的过渡时间。该项目的第二个重要好处是它将为从事软件开发的年轻科学家和学生提供培训。PI将参加的“科学星期四”是向小学生传授科学的一个很好的方式。拟议的事件可视化将是一个宝贵的工具，教育公众在令人兴奋的物理学，我们希望在大型强子对撞机发现。

This project addresses the critical need to develop accurate event simulations for highenergy particle physics research. It has two main thrusts. The first is to expand the scopeand functionality of the MadGraph/MadEvent software packages to allow modelbuilders to work with MadGraph using their preferred language of the Lagrangian,give phenomenologists greater control of the processes generated, and allow experimentalists to seamlessly integrate these tools into their analysis environment. The second thrust will be the development of human resources and expertise at the University of Illinois necessary to take full advantage of these tools in the analysis of data from theLarge Hadron Collider (LHC). Graduate students will develop the skills necessary toparticipate in the exciting discoveries that the LHC data will provide, and a postdoctoralresearch associate will receive essential training to work with theorists and experimentalists in creating the relevant simulations necessary for the data analysis. A crucial part of this proposal is the optimization of the codes for HEP Grid Computing..The vast computing resources of the Grid will allow for the feasible generation of the millions of unweighted events required for an experimental analysis in a short amount of time. Perhaps even more important, by moving to a Grid-compatible format, experimentalists will be able to fully incorporate MadEvent into their analysis environments. This project will create a common platform with which everyone can work efficiently. This common platform will dramatically reduce the transition time from model development to phenomenological analysis to an experimental analysis and discovery. A second important benefit of the project is the training it will provide to theyoung scientists and students working on the software developments.The "Science Thursdays" that the PI will participate in is an excellent way to pass on science to elementary school children. The proposed event visualisation will be an invaluable tool to educate the general public in the exciting physics we expect to discover at the LHC.