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Updated: Sep 12, 2025

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The LHCb Sprucing and Analysis Productions.

Ahmed Abdelmotteleb1, Alessandro Bertolin2, Chris Burr3

  • 1Department of Physics, University of Warwick, Coventry, UK.

Computing and Software for Big Science
|August 7, 2025
PubMed
Summary
This summary is machine-generated.

The LHCb experiment upgraded its offline data processing for Run 3, handling a 30x data increase. New systems like "Sprucing" and "Analysis Productions" improve data analysis workflows and prepare for future High-Luminosity LHC upgrades.

Keywords:
ComputingData-processingLHC

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Area of Science:

  • High-energy physics
  • Particle detector technology
  • Data science and computing

Background:

  • The Large Hadron Collider beauty (LHCb) experiment underwent a major upgrade (LHCb Upgrade I) for Run 3.
  • Increased data rates presented significant challenges for online and offline data handling.

Purpose of the Study:

  • To detail the upgraded offline data processing and analysis model for LHCb Run 3.
  • To introduce the "Sprucing" and "Analysis Productions" systems.
  • To outline strategies for future data processing in the High-Luminosity LHC era.

Main Methods:

  • Centralized offline data processing and selection ("Sprucing").
  • Automated, declarative nTuple production system ("Analysis Productions").
  • Utilized DaVinci application, apd, and lbconda tools for data processing and environment management.

Main Results:

  • Successful implementation of a model to manage a 30-fold increase in data volume.
  • Enhanced analyst workflows and improved analysis preservation.
  • Established a framework for data processing and analysis for LHCb Upgrade II.

Conclusions:

  • The LHCb offline system has been successfully upgraded to handle increased data rates.
  • New tools and systems significantly improve data analysis efficiency and reproducibility.
  • The implemented strategies provide a foundation for future data challenges in the High-Luminosity LHC era.