Abstract
TileCal, the barrel hadronic calorimeter of the ATLAS experiment, gathers almost about 10,000 electronic channels. The supervision of the detector behavior is very important in order to ensure proper operation. Collaborators perform analysis over reconstructed data of calibration runs for giving detailed considerations about the equipment status.During the commissioning period, our group has developed seven web systems to support the data quality (DQ) assessment task. Each system covers a part of the process by providing information on the latest runs, displaying the DQ status from the monitoring framework, giving details about power supplies operation, presenting the generated plots and storing the validation outcomes, assisting to write logbook entries, creating and submitting the bad channels list to the conditions database and publishing the equipment performance history.The ATLAS operation increases amount of data that are retrieved, processed and stored by the web systems. In order to accomplish the new requirements, an optimized data model was designed to reduce the number of needed queries. The web systems were reassembled in a unique system in order to provide an integrated view of the validating process. The server load was minimized by using asynchronous requests from the browser.
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