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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2026-06-11 23:58 |
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Conference: Bucharest University Faculty of Physics 2026 Meeting
Section: High-Energy Physics
Title:
Fast diagnosis tools for the calorimeter readout electronics of the ATLAS experiment.
Authors:
Rehman ASHRAF
*
Affiliation:
1)Faculty of Physics, University of Bucharest, Atomiștilor 405, RO-077125, Măgurele, Romania
2) IFIN-HH, Reactorului 30, RO-077125, P.O.B. MG-6, Măgurele, Romania
E-mail
rehman.chep@cern.ch
Keywords:
ATLAS,LAr Calorimeter, Calibration, Detector region
Abstract:
This work is carried out within the ATLAS Collaboration at CERN and focuses on the calibration and data quality monitoring of the Liquid Argon (LAr) calorimeter. Here we present a dedicated validation script for calibration data from the LAr calorimeter. Unlike standard full-detector approaches, this method operates at the level of a single Hadronic Front-End Crate (HFEC), enabling precise and localized identification of detector issues. The script is implemented in Python and processes the data recorded in dedicated calibration runs which probe the system’s response to various types of injected signals, first preprocessed with the ATLAS data acquisition software chain. It systematically compares channel information with detector mapping and bad-channel conditions stored in SQLite databases. This allows the identification of missing channels, channels flagged as problematic, and channels exhibiting anomalous calibration behavior based on well-defined thresholds. For each HFEC, the tool produces η–φ visualizations that clearly highlight problematic regions and correlate them with detector metadata such as feedthrough, layer, and detector region. This provides an intuitive and efficient way to diagnose channel level issues. It will help improve the precision and efficiency of data quality monitoring and supports the reliable operation of the ATLAS LAr calorimeter.
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