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.
Cite
@article{arxiv.1903.01360,
title = {A comprehensive real-time analysis model at the LHCb experiment},
author = {R. Aaij and S. Benson and M. De Cian and A. Dziurda and C. Fitzpatrick and E. Govorkova and O. Lupton and R. Matev and S. Neubert and A. Pearce and H. Schreiner and S. Stahl and M. Vesterinen},
journal= {arXiv preprint arXiv:1903.01360},
year = {2019}
}
Comments
15 pages, 4 figures, 1 table. All figures and tables are available at https://cern.ch/lhcbproject/Publications/LHCbProjectPublic/LHCb-DP-2019-002.html