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February 5, 2026

Optimizing the ATLAS metadata database architecture in preparation for High Luminosity LHC

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Authors

JOJ. OdierFLF LambertTDT. Doherty

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Overview

Shows plans to enhance metadata architecture for improved data management in High Luminosity LHC, indicating substantial upgrades.

Key Points

  • The research aims to optimize the ATLAS Metadata Interface to better handle data for the High Luminosity LHC.
  • Presentation of a new mechanism for propagating physics parameters
  • Description of the automatic scoping mechanism introduced in AMI
  • Analysis of database partitioning benefits
  • Improved efficiency in metadata aggregation and cataloging
  • Transparent handling of database partitions
  • Enhanced accessibility of physics parameters through the dataset inheritance chain

Cite This Study

Odier et al. (2025) studied this question.

synapsesocial.com/papers/698434a6f1d9ada3c1fb2fe3https://doi.org/10.1051/epjconf/202533701100/pdf
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Also Consider

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  1. 1Optimizing the ATLAS metadata database architecture in preparation for High Luminosity LHC2025
  2. 2Efficient metadata management with the AMI ecosystem2025
  3. 3Efficient metadata management with the AMI ecosystem2025
  4. 4Advancements in the in-file metadata system for the ATLAS experiment2025
  5. 5Advancements in the in-file metadata system for the ATLAS experiment2025