EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||6|
|Section||2 - Offline Computing|
|Published online||16 November 2020|
ATLAS Tile Calorimeter Conditions Database architecture and operations in Run 2
Northern Illinois University, Department of Physics, DeKalb, IL 60155, United States of America
2 Institute for High Energy Physics of NRC Kurchatov Institute (IHEP), 142281 Protvino, Russia
3 Institute of Physics of the NAS of Belarus, 220072 Minsk, Belarus
* Corresponding author: email@example.com
Published online: 16 November 2020
An overview of the Conditions Database (DB) structure for the hadronic Tile Calorimeter (TileCal), one of the sub-systems of the ATLAS detector at LHC, is presented. ATLAS Conditions DB stores the data on the ORACLE backend, and the design and implementation have been developed using the COOL (Conditions Objects for LCG) software package as a common persistency solution for the storage and management of the conditions data. TileCal conditions and calibration data are stored in 4 separate Databases, each with its own schema: TileCal Online and Offline DBs for data, DB for Monte Carlo simulation and Detector Control System (DCS) DB. In order to ensure smooth operation of the TileCal during data taking, experts perform the necessary calibrations, add the changes of detector status and other conditions data, prepare new conditions for data reprocessing and Monte Carlo production campaigns, and upload the new up-to-date information into DB using custom-made software tools. The procedure of TileCal conditions’ preparation, validation, uploading to DBs is described, and some DB-related statistics collected in Run 2 is presented.
© The Authors, published by EDP Sciences, 2020
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