Accelerating LHC event generation with simplified pilot runs and fast PDFs

Author:

Bothmann Enrico,Buckley Andy,Christidi Ilektra A.,Gütschow Christian,Höche Stefan,Knobbe Max,Martin Tim,Schönherr Marek

Abstract

AbstractPoor computing efficiency of precision event generators for LHC physics has become a bottleneck for Monte-Carlo event simulation campaigns. We provide solutions to this problem by focusing on two major components of general-purpose event generators: The PDF evaluator and the matrix-element generator. For a typical production setup in the ATLAS experiment, we show that the two can consume about 80% of the total runtime. Using NLO simulations of $$pp\rightarrow \ell ^+\ell ^-+\text {jets}$$ p p + - + jets and $$pp\rightarrow t\bar{t}+\text {jets}$$ p p t t ¯ + jets as an example, we demonstrate that the computing footprint of Lhapdf and Sherpa can be reduced by factors of order 10, while maintaining the formal accuracy of the event sample. The improved codes are made publicly available.

Funder

H2020 Marie Sklodowska-Curie Actions

U.S. Department of Energy, SciDAC

Royal Society

Bundesministerium für Bildung und Forschung

Science and Technology Facilities Council

U.S. Department of Energy, Office of Science

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Reference85 articles.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An algorithm to parallelise parton showers on a GPU;SciPost Physics Codebases;2024-08-12

2. Codebase release 1.1 for GAPS;SciPost Physics Codebases;2024-08-12

3. Event generators for high-energy physics experiments;SciPost Physics;2024-05-24

4. Zero-bin subtraction and the qT spectrum beyond leading power;Journal of High Energy Physics;2024-04-02

5. Efficient precision simulation of processes with many-jet final states at the LHC;Physical Review D;2024-01-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3