| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01127 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701127 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701127
The ATLAS Tile Calorimeter Software Tools for Data Quality Monitoring
Comenius University, Mlynská dolina F1 842 48 Bratislava, Slovak Republic
* e-mail: daniel.suchy@cern.ch
Published online: 7 October 2025
The ATLAS Tile Calorimeter (TileCal) is the central part of the ATLAS experiment’s hadronic calorimeter, providing vital information for reconstructing hadrons, jets, hadronic decays of tau leptons, and missing transverse energy. Each TileCal partition consists of 64 modules accounting for approximately 10000 read-out channels that are calibrated using various methods such as Cesium source, laser, charge injection, and integrator-based systems. Data quality assurance is paramount, with both collision and calibration data subjected to rigorous scrutiny. Automated checks are conducted on predefined histograms, with outcomes summarized on dedicated web pages. The TileCal data quality team utilizes a suite of tools to further inspect the data and identify any problems or irregularities. The TileCal conditions data, including calibration constants and channel statuses, are therefore regularly updated in the databases. These conditions are used for data reprocessing and are also crucial for maintenance work during shutdown periods.
In this contribution, we will discuss software tools used for data quality monitoring, emphasizing recent advancements and our pursuit of consolidating multiple tools into a more streamlined web application. Our overarching goal is to optimize the efficiency of the shifters responsible for monitoring data quality while simultaneously simplifying the entire process.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

