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Data intense large order Feynman graph evaluation

Data intense large order Feynman graph evaluation
数据密集型大阶费曼图评估
批准号:
2888571
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
博士生在理论粒子物理学领域,现在进入一个令人兴奋的高精度物理学的新时代。目前正在进行的实验(CERN,Fermilab,J-PARC,KEK,PSI)预计会有大量新颖有趣的结果,主要目标是观察新粒子和新物理的证据。这将为构建扩展粒子物理标准模型的理论提供急需的信息和方向。解开这种"超越标准模型"的事件,预计是罕见的,需要理论投入,特别是非常精确的计算。其核心形式主义是在粒子相互作用的耦合强度的摄动膨胀的费曼图的评价。为了满足实验对精度的要求,高阶结果是绝对必要的。要实现这一点涉及到评估费曼积分的数量增加exponentiallywith耦合常数的顺序。实现这一目标的基本技术和算法是数据密集型的,需要大量的计算机管理。该研究生奖学金将在此框架内进行,并设想该项目的具体主题将位于标准模型的强和电弱部分,包括标准模型有效理论。在整个项目中,学生将获得我们在理论粒子物理方面的全面研究生培训以及LIV.INNO提供的数据科学方面的针对性培训。学生还将有机会进行为期六个月的实习,以扩大他们更广泛的研究和职业技能。这将是在STFC的DiRAC高性能计算中心的软件工程团队之一。
英文摘要
The PhD Studentship lies in the area of Theoretical Particle Physics, now entering anexciting new era of high precision physics. A wealth of novel and interesting results areanticipated at currently running experiments (CERN, Fermilab, J-PARC, KEK, PSI), withthe main goal to observe evidence for new particles and new physics. This will providethe much needed information and direction to construct theories that extend theStandard Model of particle physics. Disentangling such "Beyond the StandardModel" events, expected to be rare, requires theoretical input and in particular veryprecise calculations. The core formalism for this is the evaluation of Feynman graphs in aperturbative expansion in the coupling strength of the particle interactions. High orderresults are now absolutely necessary to meet the precision demanded by experiments. Toachieve this involves evaluating Feynman integrals whose number increases exponentiallywith coupling constant order. The underlying techniques and algorithms to achieve thisare data intensive and require significant computer management. The studentship sitswithin this framework and it is envisaged that the specific topic for the project will lie inthe strong and electroweak sector of the Standard Model including the Standard ModelEffective Theory.Throughout the project the student will have access to our comprehensive postgraduatetraining in Theoretical Particle Physics as well as targeted training in data scienceprovided by LIV.INNO. The student will also have the opportunity to carry out a six monthwork placement in order to broaden their wider research and career skills. This will bewithin one of the software engineering teams at STFC's DiRAC High PerformanceComputing facility with centres.
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