Hybrid seeding: a standalone track reconstruction algorithm for scintillating fibre tracker at LHCb

Aiola, S. et al. (2021) Hybrid seeding: a standalone track reconstruction algorithm for scintillating fibre tracker at LHCb. Computer Physics Communications, 260, 107713. (doi: 10.1016/j.cpc.2020.107713)

Abstract

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.

• Item Type: Articles
• Additional Information: L. Henry and S. Aiola acknowledge support of the European Research Council Consolidator grant SELDOM 771642. C. Marin Benito acknowledges support of the Agence Nationale de la Recherche, France grant BACH. R. Quagliani acknowledges support of the European Research Council Consolidator grant RECEPT 724777.
• Keywords: Track reconstruction, pattern recognition, LHCb.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Schiller, Dr Manuel
• Authors: Aiola, S., Amhis, Y., Billoir, P., Kishor Jashal, B., Henry, L., Oyanguren Campos, A., Marin Benito, C., Polci, F., Quagliani, R., Schiller, M., and Wang, M.
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Journal Name: Computer Physics Communications
• Publisher: Elsevier
• ISSN: 0010-4655
• ISSN (Online): 1879-2944
• Published Online: 10 November 2020
• Copyright Holders: Copyright © 2020 Elsevier B.V.
• First Published: First published in Computer Physics Communications 260:107713
• Publisher Policy: Reproduced in accordance with the publisher copyright policy