Speaker
Description
The ATLAS experiment will replace their tracking detector with a new all-silicon Inner Tracker (ITk) for data-taking at the High Luminosity LHC. The tracker is being assembled from more than 10^6 parts at sites across the world. To monitor the global production chain a custom production database (PDB) is has been developed to track quality and rates of production, as well as identify possible sources of issue observed during construction or detector operation.
Database tools for interaction and reporting have been developed within the collaboration for users with diverse skill-sets. Upload tools include a pythonic API wrapper, GUIs, command-line scripts, containerised applications, and various CERN hosted resources. Reporting channels provide information on site-specific and project-wide inventories, part quality and production yields and rates.
Production for most detector parts is ongoing and significant experience has been collected for interactions with the PDB. This presentation provides examples of how the ITk PDB is populated and utilised across the collaboration, applicable to future HEP-experiment projects. General themes of data management, multi-user global accessibility and effective data utilisation will be discussed and assessed. The authors seek to promote information exchange and collaboration on tools which supports detector construction in large-scale experiments.
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