A true real-time success story: the case of collecting beauty-ful data at the LHCb experiment
Federico Alessio (LHCb Collaboration)

TL;DR
The paper details the successful real-time data collection, calibration, and operation of the LHCb experiment at CERN, demonstrating high efficiency and autonomous control despite challenging conditions, and discusses future upgrade plans.
Contribution
It presents a comprehensive overview of the real-time systems, calibration, and control strategies enabling the LHCb experiment's high performance and autonomy during data collection.
Findings
Data collection efficiency exceeded 92% of the nominal design.
Online reconstruction performance matched offline levels through real-time calibration.
The autonomous control system effectively operated the detector with minimal non-expert intervention.
Abstract
The LHCb experiment at CERN is currently completing its first big data taking campaign at the LHC started in 2009. It has been collecting data at more than 2.5 times its nominal design luminosity value and with a global efficiency of ~92%. Even more striking, the efficiency between online and offline recorded luminosity, obtained by comparing the data quality output, is close to 99%, which highlights how well the detector, its data acquisition system and its control system have been performing despite much harsher and more variable conditions than initially foreseen. In this paper, the excellent performance of the LHCb experiment will be described, by transversally tying together the timing and data acquisition system, the software trigger, the real-time calibration and the shifters interaction with the control system. Particular attention will be given to their real-time aspects, which…
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Taxonomy
TopicsParticle Detector Development and Performance · Particle physics theoretical and experimental studies · Distributed and Parallel Computing Systems
