A comprehensive real-time analysis model at the LHCb experiment

Abstract

An evolved real-time data processing strategy is proposed for high-energy physics experiments, and its implementation at the LHCb experiment is presented. The reduced event model allows not only the signal candidate firing the trigger to be persisted, as previously available, but also an arbitrary set of other reconstructed or raw objects from the event. This allows for higher trigger rates for a given output data bandwidth, when compared to the traditional model of saving the full raw detector data for each trigger, whilst accommodating inclusive triggers and preserving data mining capabilities. The gains in physics reach and savings in computing resources already made possible by the model are discussed, along with the prospects of employing it more widely for Run 3 of the Large Hadron Collider.

15 pages, 4 figures, 1 table. All figures and tables are available at https://cern.ch/lhcbproject/Publications/LHCbProjectPublic/LHCb-DP-2019-002.html

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Cited by in corpus (21)

• Allen: A high level trigger on GPUs for LHCb
• The LHCb upgrade I
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• Scientific Computing Plan for the ECCE Detector at the Electron Ion Collider
• A Comparison of CPU and GPU implementations for the LHCb Experiment Run 3 Trigger
• Searching for axion-like particles with data scouting at ATLAS and CMS
• The history of LHCb
• Vector Bosons and Jets in Proton Collisions
• Observation of Cabibbo-Suppressed Two-Body Hadronic Decays and Precision Mass Measurement of the ${\Omega }_c^0$ Baryon
• FunTuple: A new N-tuple component for offline data processing at the LHCb experiment
• Search for charge-parity violation in semileptonically tagged $D^0\to K^{+}{\pi }^{-}$ decays
• Observation of ${\Lambda }_b^0\to {\Lambda }_c^{+}{\bar{D}}^{(\ast )0}{K}^{-}$ and ${\Lambda }_b^0\to {\Lambda }_c^{+}{D}_s^{\ast -}$ decays
• Summary of the trigger systems of the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
• Review of real-time data processing for collider experiments
• Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
• Exploiting exotic LHC datasets for long-lived new particle searches
• Tracking of charged particles with nanosecond lifetimes at LHCb
• An Automated Bandwidth Division for the LHCb Upgrade Trigger
• Performance of the LHCb muon detector in Run 3
• Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3
• Evolution of the energy efficiency of LHCb's real-time processing