CERN Accelerating science

Article
Report number	arXiv:2006.11067
Title	Real-time reconstruction of long-lived particles at LHCb using FPGAs
Author(s)	Cenci, Riccardo (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Di Luca, Andrea (INFN, Pisa ; Pisa U.) ; Lazzari, Federico (INFN, Pisa ; Siena U.) ; Morello, Michael J. (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Punzi, Giovanni (INFN, Pisa ; Pisa U.)
Collaboration	LHCb Collaboration
Publication	2020-07-08
Imprint	2020-06-19
Number of pages	7
Note	ACAT 2019 proceedings. 7 pages, 2 figures
In:	J. Phys.: Conf. Ser. 1525, 1 (2020) pp.012101
In:	19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019, pp.012101
DOI	10.1088/1742-6596/1525/1/012101 10.1088/1742-6596/1525/1/012101 (publication)
Subject category	hep-ex ; Particle Physics - Experiment ; physics.ins-det ; Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; LHCb
Abstract	Finding tracks downstream of the magnet at the earliest LHCb trigger level is not part of the baseline plan of the upgrade trigger, on account of the significant CPU time required to execute the search. Many long-lived particles, such as $K^0_S$ and strange baryons, decay after the vertex track detector, so that their reconstruction efficiency is limited. We present a study of the performance of a future innovative real-time tracking system based on FPGAs, developed within a R&D effort in the context of the LHCb Upgrade Ib (LHC Run 4), dedicated to the reconstruction of the particles downstream of the magnet in the forward tracking detector (Scintillating Fibre Tracker), that is capable of processing events at the full LHC collision rate of 30 MHz.
Copyright/License	preprint: (License: CC-BY-4.0) publication: Published under licence by IOP Publishing Ltd (License: CC-BY-3.0)

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