PoS - Proceedings of Science
Volume 364 - European Physical Society Conference on High Energy Physics (EPS-HEP2019) - Detector R&D and Data Handling
A comprehensive real-time analysis model in Run 2 at the LHCb experiment
B. Mitreska
Full text: Not available
Abstract
A 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 the signal candidate firing the trigger to be persisted, along with an arbitrary set of other reconstructed or raw objects from the event. This allows for higher trigger rates for a given output data bandwidth and reduction of the storage used/needed, 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 during Run 2 of the experiment are discussed.
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.