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Article

Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics

by
Abdulameer Nour Jalal
1,2,
Stefan Oniga
3,4,* and
Balazs Ujvari
5,6,*
1
Doctoral School of Physics, University of Debrecen, 4032 Debrecen, Hungary
2
NAPLIFE-WIGNER Institute, 1121 Budapest, Hungary
3
Department of IT Systems and Networks, Faculty of Informatics, University of Debrecen, 4032 Debrecen, Hungary
4
Department of Electric, Electronic and Computer Engineering, North University Center of Baia Mare, Technical University of Cluj-Napoca, 430083 Baia Mare, Romania
5
Department of Data Science and Visualization, Faculty of Informatics, University of Debrecen, 4032 Debrecen, Hungary
6
HUN-REN Institute for Nuclear Research, 4026 Debrecen, Hungary
*
Authors to whom correspondence should be addressed.
Electronics 2025, 14(10), 2088; https://doi.org/10.3390/electronics14102088
Submission received: 29 March 2025 / Revised: 30 April 2025 / Accepted: 30 April 2025 / Published: 21 May 2025

Abstract

This investigation examines the Dead Hot Map (DHM) method and timing calibration for Run 14 Au+Au collisions in the PHENIX experiment. The DHM method guarantees data integrity by identifying and omitting defective detector towers (nonfunctional, hot, and very hot towers) via a set of criteria and statistical evaluations. This procedure entails hit distribution analysis, pseudorapidity adjustments, and normalization, resulting in an enhanced map of functional detector components. Timing calibration mitigates the issues associated with time-of-flight measurement inaccuracies, such as slewing effects and inter-sector timing differences. Numerous corrections are implemented, encompassing slewing, tower-specific offsets, and sector-by-sector adjustments, resulting in a final resolution of 500 picoseconds for the electromagnetic calorimeter. These calibrations improve the accuracy of photon and π0 measurements, essential for investigating quark–gluon plasma in high-energy nuclear collisions.
Keywords: big data analytics; high-energy physics (HEP); detector calibration; data-processing pipelines; dead hot map (DHM); timing calibration; statistical analysis tools big data analytics; high-energy physics (HEP); detector calibration; data-processing pipelines; dead hot map (DHM); timing calibration; statistical analysis tools

Share and Cite

MDPI and ACS Style

Jalal, A.N.; Oniga, S.; Ujvari, B. Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics. Electronics 2025, 14, 2088. https://doi.org/10.3390/electronics14102088

AMA Style

Jalal AN, Oniga S, Ujvari B. Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics. Electronics. 2025; 14(10):2088. https://doi.org/10.3390/electronics14102088

Chicago/Turabian Style

Jalal, Abdulameer Nour, Stefan Oniga, and Balazs Ujvari. 2025. "Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics" Electronics 14, no. 10: 2088. https://doi.org/10.3390/electronics14102088

APA Style

Jalal, A. N., Oniga, S., & Ujvari, B. (2025). Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics. Electronics, 14(10), 2088. https://doi.org/10.3390/electronics14102088

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