The LHCb Sprucing and Analysis Productions

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.

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Publication Details

Journal
Computing and Software for Big Science
Published
2025-08-04
DOI
https://doi.org/10.1007/s41781-025-00144-5
Citations
3
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
5.61

Funders

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article

The LHCb Sprucing and Analysis Productions

A. Bertolin, B. Couturier, E. Rodrigues, A. S. W. Abdelmotteleb et al.
3 citations
Computing and Software for Big Science
Particle physics theoretical and experimental studies
5.61
article

The LHCb Sprucing and Analysis Productions

A. Bertolin, B. Couturier, E. Rodrigues, A. S. W. Abdelmotteleb, Ryunosuke O’Neil, D. Fazzini, A. R. Wiederhold, Shunan Zhang, C. Burr, M. J. Smith, Nathan Allen Grieser, N. Skidmore, C. Haen, Ellinor Eckstein
article en
3 citations

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.

Computing and Software for Big ScienceVol. 9(1)
University of Bonn (DE), University of Liverpool (GB), University of Manchester (GB), University of Warwick (GB), University of Oxford (GB), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca (IT), Imperial College London (GB), University of Cincinnati (US), European Organization for Nuclear Research (CH)
National Science Foundation, UK Research and Innovation
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Particle physics theoretical and experimental studies
5.61
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