LHCb Stripping Project: Continuing to Fully and Efficiently Utilize Legacy Data

The LHCb collaboration continues to heavily utilize the Run 1 and Run 2 legacy datasets well into Run 3. As the operational focus shifts from the legacy data to the live Run 3 samples, it is vital that a sustainable and efficient system is in place to allow analysts to continue to profit from the legacy datasets. The LHCb Stripping project is the user-facing offline data-processing stage that allows analysts to select their physics candidates of interest simply using a Python-configurable architecture. After physics selections have been made and validated, the full legacy datasets are then reprocessed in small time windows known as Stripping campaigns. Stripping campaigns at LHCb are characterized by a short development window with a large portion of collaborators, often junior researchers, directly developing a wide variety of physics selections; the most recent campaign dealt with over 900 physics selections. Modern organizational tools, such as GitLab Milestones, are used to track all of the developments and ensure the tight schedule is adhered to by all developers across the physics working groups. Additionally, continuous integration is implemented within GitLab to run functional tests of the physics selections, monitoring rates and timing of the different algorithms to ensure operational conformity. Outside of these large campaigns the project is also subject to nightly builds, ensuring the maintainability of the software when parallel developments are happening elsewhere.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701237
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
0.00
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article

LHCb Stripping Project: Continuing to Fully and Efficiently Utilize Legacy Data

S. Sheng, Niladri Sahoo, E. Rodrigues, F. Redi et al.
EPJ Web of Conferences
Particle physics theoretical and experimental studies
article

LHCb Stripping Project: Continuing to Fully and Efficiently Utilize Legacy Data

S. Sheng, Niladri Sahoo, E. Rodrigues, F. Redi, Nathan Allen Grieser, N. Skidmore, A. Venkateswaran, Mark Smith
article en

Abstract

The LHCb collaboration continues to heavily utilize the Run 1 and Run 2 legacy datasets well into Run 3. As the operational focus shifts from the legacy data to the live Run 3 samples, it is vital that a sustainable and efficient system is in place to allow analysts to continue to profit from the legacy datasets. The LHCb Stripping project is the user-facing offline data-processing stage that allows analysts to select their physics candidates of interest simply using a Python-configurable architecture. After physics selections have been made and validated, the full legacy datasets are then reprocessed in small time windows known as Stripping campaigns. Stripping campaigns at LHCb are characterized by a short development window with a large portion of collaborators, often junior researchers, directly developing a wide variety of physics selections; the most recent campaign dealt with over 900 physics selections. Modern organizational tools, such as GitLab Milestones, are used to track all of the developments and ensure the tight schedule is adhered to by all developers across the physics working groups. Additionally, continuous integration is implemented within GitLab to run functional tests of the physics selections, monitoring rates and timing of the different algorithms to ensure operational conformity. Outside of these large campaigns the project is also subject to nightly builds, ensuring the maintainability of the software when parallel developments are happening elsewhere.

EPJ Web of ConferencesVol. 337
University of Liverpool (GB), University of Milan (IT), University of Warwick (GB), NIHR Imperial Biomedical Research Centre (GB), Institute of High Energy Physics (CN), University of Chinese Academy of Sciences (CN), Imperial College London (GB), École Polytechnique Fédérale de Lausanne (CH), University of Cincinnati (US), University of Birmingham (GB)
Openalex Percentile: Top 88%
Particle physics theoretical and experimental studies
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