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准确的事件模拟的迫切需要。它有两个主要推力。首先是扩展MadGraph/MadEvent软件包的范围和功能，允许建模师使用他们首选的拉格朗日语言来处理MadGraph，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地集成到他们的分析环境中。第二个推动力将是开发伊利诺伊大学的人力资源和专业知识，以充分利用这些工具分析来自大型强子对撞机(LHC)的数据。研究生将发展必要的技能，以参与大型强子对撞机数据将提供的令人兴奋的发现，博士后研究助理将接受必要的培训，与理论家和实验者合作，创建数据分析所需的相关模拟。该建议的一个关键部分是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可行地生成实验分析所需的数百万未加权事件。也许更重要的是，通过转向与网格兼容的格式，实验者将能够将MadEvent完全整合到他们的分析环境中。该项目将创建一个公共平台，每个人都可以利用该平台高效工作。这个公共平台将极大地缩短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。国际科学协会将参加的“科学星期四”是向小学生传授科学的一个极好的方式。拟议中的事件可视化将是一个无价的工具，教育普通公众在我们期待在大型强子对撞机上发现的令人兴奋的物理学。

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.