Automated Computation of One-loop Scattering Amplitudes

单环散射幅度的自动计算

基本信息

  • 批准号:
    0855489
  • 负责人:
  • 金额:
    $ 11.15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-15 至 2012-02-29
  • 项目状态:
    已结题

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The largest and most powerful particle collider ever built, the Large Hadron Collider (LHC), is ready to start its operation at CERN. This will present a big challenge for the whole high energy physics community, both on the experimental and the theoretical side. A huge amount of data will need to be processed, analyzed and then compared with theoretical models and predictions. On the one hand the LHC will test in depth the current Standard Model (SM) of particle physics and search for the last missing particle predicted in the model, the Higgs boson. On the other hand, LHC will give particle physicists the possibility to explore the TeV energy scale for the first time and it will hopefully bring evidence for new phenomena that are not incorporated in the SM. The main objective of the research work presented in this proposal is the development of new theoretical tools for the calculation of multi-particle NLO scattering amplitudes, as well as the direct computation of theoretical predictions for scattering processes necessary for the interpretation of the results at the LHC. For the last two years, the PI has been working on the problem of calculating one-loop scattering amplitudes efficiently. A new method, known as OPP-reduction, has been developed. The PI will use the innovative OPP-method to compute theoretical predictions for processes of interest at the LHC. The PI will also optimize the existing numerical codes used to perform the calculations, in order to improve their efficiency and flexibility. He then hopes to automate the whole process for one-loop computations.The broader impacts are many. As a discovery machine, LHC will have a strong impact on the media. The PI will organize public presentations, not only directed to science major but to the broader community. A first presentation will explain the main features of the LHC and the challenges of the current models in particle physics and cosmology. A second presentation, ideally during the second year of activity of the LHC, will give an update on the scientific progress, at a very general level. The New York City College of Technology (CUNY) plays a leading role in the education of minorities underrepresented in the sciences and engineering. The PI will provide high-quality teaching, resources, and possibilities for students to participate in the scientific enterprise, where they can contribute with the technical skills that they developed during their studies.
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。有史以来建造的最大和最强大的粒子对撞机,大型强子对撞机(LHC),已经准备好在欧洲核子研究中心开始运行。这将对整个高能物理界提出一个巨大的挑战,无论是在实验还是理论方面。大量的数据需要处理、分析,然后与理论模型和预测进行比较。一方面,大型强子对撞机将深入测试粒子物理学的当前标准模型(SM),并寻找模型中预测的最后一个丢失的粒子,希格斯玻色子。另一方面,LHC将使粒子物理学家有可能首次探索TeV能量尺度,并有望为SM中未包含的新现象提供证据。本提案中提出的研究工作的主要目标是开发用于计算多粒子非线性光学散射振幅的新理论工具,以及直接计算用于解释LHC结果所需的散射过程的理论预测。 在过去的两年里,PI一直致力于有效地计算单圈散射振幅的问题。一种新的方法,被称为OPP减少,已经开发出来。PI将使用创新的OPP方法来计算LHC感兴趣过程的理论预测。PI还将优化用于执行计算的现有数字代码,以提高其效率和灵活性。然后,他希望将整个过程自动化,实现单循环计算。 作为一台发现机器,LHC将对媒体产生强烈的影响。PI将组织公开演讲,不仅面向科学专业,而且面向更广泛的社区。第一个演讲将解释大型强子对撞机的主要特点和粒子物理学和宇宙学的当前模型的挑战。第二次报告,最好是在LHC活动的第二年,将在非常一般的水平上介绍科学进展的最新情况。纽约市技术学院在教育科学和工程专业人数不足的少数民族方面发挥着主导作用。PI将为学生提供高质量的教学,资源和参与科学企业的可能性,在那里他们可以贡献他们在学习期间开发的技术技能。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Giovanni Ossola其他文献

Giovanni Ossola的其他文献

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{{ truncateString('Giovanni Ossola', 18)}}的其他基金

Participation of Young Scientists to the Workshop LoopFest XIII, City Tech, New York, June 2014
年轻科学家参加 LoopF​​est XIII 研讨会,City Tech,纽约,2014 年 6 月
  • 批准号:
    1417499
  • 财政年份:
    2014
  • 资助金额:
    $ 11.15万
  • 项目类别:
    Standard Grant
Automated Computation of One-loop Scattering Amplitudes
单环散射幅度的自动计算
  • 批准号:
    1068550
  • 财政年份:
    2011
  • 资助金额:
    $ 11.15万
  • 项目类别:
    Continuing Grant

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单环散射幅度的自动计算
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    1068550
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