The LHCb Sprucing and Analysis Productions.

Q1 Computer Science
Computing and Software for Big Science Pub Date : 2025-01-01 Epub Date: 2025-08-04 DOI:10.1007/s41781-025-00144-5
Ahmed Abdelmotteleb, Alessandro Bertolin, Chris Burr, Ben Couturier, Ellinor Eckstein, Davide Fazzini, Nathan Grieser, Christophe Haen, Ryunosuke O'Neil, Eduardo Rodrigues, Nicole Skidmore, Mark Smith, Aidan R Wiederhold, Shunan Zhang
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引用次数: 0

Abstract

The LHCb detector underwent a comprehensive upgrade in preparation for the third data-taking run of the Large Hadron Collider (LHC), known as LHCb Upgrade I. With its increased data rate, Run 3 introduced considerable challenges in both data acquisition (online) and data processing and analysis (offline). The offline processing and analysis model was upgraded to handle the factor 30 increase in data volume and the associated demands of ever-growing datasets for analysis, led by the LHCb Data Processing and Analysis (DPA) project. This paper documents the LHCb "Sprucing" - the centralised offline data processing and selections - and "Analysis Productions" - the centralised and highly automated declarative nTuple production system. The DaVinci application used by analysis productions for tupling spruced data is described as well as the apd and lbconda tools for data retrieval and analysis environment configuration. These tools allow for greatly improved analyst workflows and analysis preservation. Finally, the approach to data processing and analysis in the High-Luminosity Large Hadron Collider (HL-LHC) era - LHCb Upgrade II - is discussed.

Abstract Image

Abstract Image

Abstract Image

LHCb云杉和分析产品。
LHCb探测器进行了全面升级,为大型强子对撞机(LHC)的第三次数据采集运行做准备,被称为LHCb升级i。随着数据速率的提高,运行3在数据采集(在线)和数据处理和分析(离线)方面都带来了相当大的挑战。在LHCb数据处理和分析(DPA)项目的领导下,对离线处理和分析模型进行了升级,以处理数据量增加30倍以及不断增长的数据集分析的相关需求。本文记录了LHCb的“Sprucing”(集中的离线数据处理和选择)和“Analysis Productions”(集中的高度自动化的声明性元组生产系统)。本文描述了分析产品用于对云杉数据进行双元化的DaVinci应用程序,以及用于数据检索和分析环境配置的apd和lbconda工具。这些工具允许极大地改进分析人员的工作流程和分析保存。最后,讨论了高亮度大型强子对撞机(HL-LHC)时代的数据处理和分析方法——LHCb升级II。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computing and Software for Big Science
Computing and Software for Big Science Computer Science-Computer Science (miscellaneous)
CiteScore
6.20
自引率
0.00%
发文量
15
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