| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 01052 | |
| Number of page(s) | 8 | |
| Section | Data and Metadata Organization, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202429501052 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429501052
TileCalibWeb Robot tool for ATLAS Calorimeter conditions and calibrations data handling in Run 3
1 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 Experimental Physics SAS, Slovak Academy of Sciences, 04001 Kosice, Slovakia
* Corresponding author: ismirnov@niu.edu
Published online: 6 May 2024
Every sub-detector in the ATLAS experiment at the LHC, including Liquid Argon and TileCal, writes conditions and calibration data into an ORACLE Database (DB). In order to provide an interface for reliable interactions both with the Conditions Online and Offline DBs a unique semiautomatic web based application, TileCalibWeb Robot, has been developed. TileCalibWeb is being used in LHC Run 3 by ATLAS Calorimeter data preparation, data quality and calibration experts as well as by shifters on duty. The architecture and functionality of the tool is discussed. Use cases for updating the conditions data of various types and formats are presented. The interface provides the user with the option to choose the strategy of the DB update. Options include a short text input typed directly into the browser as well as more complicated methods using data files prepared in advance. TileCalibWeb significantly simplifies the procedure of the preparation and writing of conditions and calibration data both into Online and Offline DBs in parallel, verifies user input and automatically publishes bookkeeping records.
© The Authors, published by EDP Sciences, 2024
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.
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