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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
Summary
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.
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.
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