Web System for Data Quality Assessment of Tile Calorimeter During the ATLAS Operation

TileCal is the barrel hadronic calorimeter of the ATLAS experiment and has about 10 000 electronic channels. Supervising the detector behavior is a very important task to ensure proper operation. Collaborators perform analyzes over reconstructed data of calibration runs in order to give detailed considerations about failures and to assert the equipment status. Since the commissioning period, our group has developed seven web systems that guide the collaborators through the data quality assessment task. Each system covers a part of the job, providing information on the latest runs, displaying status from the automatic 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. Due to the beginning of the operation, runs are acquired more often. The increasing amount of data represents a new challenge to the systems. An optimized data model was designed to reduce the number of needed queries. The web systems were reassembled in a unique system to provide an integrated view of the validating process. The server load was minimized by using asynchronous requests from the browser.