Journal
COMPUTER PHYSICS COMMUNICATIONS
Volume 260, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.cpc.2020.107713
Keywords
Track reconstruction; Pattern Recognition; LHCb
Funding
- European Research Council [SELDOM 771642, RECEPT 724777]
- Agence Nationale de la Recherche, France grant BACH
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The Hybrid seeding algorithm significantly improves the efficiency of charged particle reconstruction by utilizing the knowledge of the LHCb magnetic field and the position of energy deposits in the scintillating fibre tracker detector. It also achieves a low fake rate and makes a small contribution to the overall timing budget of LHCb real-time data processing.
We describe the Hybrid seeding, a stand-alone pattern recognition algorithm aiming at finding charged particle trajectories for the LHCb upgrade. A significant improvement to the charged particle reconstruction efficiency is accomplished by exploiting the knowledge of the LHCb magnetic field and the position of energy deposits in the scintillating fibre tracker detector. Moreover, we achieve a low fake rate and a small contribution to the overall timing budget of the LHCb real-time data processing. (C) 2020 Elsevier B.V. All rights reserved.
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