用于高亮度大型强子对撞机的便携式偏子级事件发生器

IF 4.6 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Enrico Bothmann, Taylor Childers, Walter Giele, Stefan Höche, Joshua Isaacson, Max Knobbe
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引用次数: 0

摘要

世界各地的数据中心都在快速部署不同于传统 CPU+RAM 模式的计算硬件,这就要求改变大型强子对撞机事件发生器的设计,以便为大型强子对撞机的高亮度时代提供经济上和生态上可持续的模拟。粒子级事件发生是模拟中计算要求最高的部分之一,因此也是需要改进的首要目标。我们提出了一个能够利用大多数现代硬件的生产就绪前沿粒子级事件生成框架,并讨论了它在矢量玻色子和顶夸克对生产的标准烛光过程中的性能,以及多达五个额外的射流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A portable parton-level event generator for the high-luminosity LHC
The rapid deployment of computing hardware different from the traditional CPU+RAM model in data centers around the world mandates a change in the design of event generators for the Large Hadron Collider, in order to provide economically and ecologically sustainable simulations for the high-luminosity era of the LHC. Parton-level event generation is one of the most computationally demanding parts of the simulation and is therefore a prime target for improvements. We present a production-ready leading-order parton-level event generation framework capable of utilizing most modern hardware and discuss its performance in the standard candle processes of vector boson and top-quark pair production with up to five additional jets.
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来源期刊
SciPost Physics
SciPost Physics Physics and Astronomy-Physics and Astronomy (all)
CiteScore
8.20
自引率
12.70%
发文量
315
审稿时长
10 weeks
期刊介绍: SciPost Physics publishes breakthrough research articles in the whole field of Physics, covering Experimental, Theoretical and Computational approaches. Specialties covered by this Journal: - Atomic, Molecular and Optical Physics - Experiment - Atomic, Molecular and Optical Physics - Theory - Biophysics - Condensed Matter Physics - Experiment - Condensed Matter Physics - Theory - Condensed Matter Physics - Computational - Fluid Dynamics - Gravitation, Cosmology and Astroparticle Physics - High-Energy Physics - Experiment - High-Energy Physics - Theory - High-Energy Physics - Phenomenology - Mathematical Physics - Nuclear Physics - Experiment - Nuclear Physics - Theory - Quantum Physics - Statistical and Soft Matter Physics.
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