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.
Daniel Suchý (Tue,) studied this question.