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<p>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&#xa0;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 <span>DaVinci</span> application used by analysis productions for tupling spruced data is described as well as the <Emphasis FontCategory="NonProportional">apd</Emphasis> and <Emphasis FontCategory="NonProportional">lbconda</Emphasis> 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.</p>

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The LHCb Sprucing and Analysis Productions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月4日

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  • 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

摘要

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.