Abstract
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.
Highlights
The Tile Calorimeter (TileCal) [1] is one of the sub-detectors of the ATLAS general purpose detector [2] operating at the Large Hadron Collider (LHC) at CERN
Each TileCal partition consists of 64 modules, and most of TileCal cells are read out by two PMTs, accounting for 9852 read-out channels in total corresponding to 5182 cells
Each schema in COOL is organized into a hierarchical folder structure, similar to a file system, and every leaf folder in the Offline DB keeps multiple versions of tags linked to ATLAS Global tags described in [3]
Summary
The Tile Calorimeter (TileCal) [1] is one of the sub-detectors of the ATLAS general purpose detector [2] operating at the Large Hadron Collider (LHC) at CERN. It is a large hadronic calorimeter which makes use of steel as the absorber material and scintillating plates read out by wavelength shifting (WLS) fibres as the active medium. It is crucial in identification of hadronic jets and measurement of their energy and direction. Each TileCal partition consists of 64 modules, and most of TileCal cells are read out by two PMTs, accounting for 9852 read-out channels in total corresponding to 5182 cells
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