@Article{Aiola_etal2021,
author="Aiola, S.
and Amhis, Y.
and Billoir, P.
and Jashal, B. K.
and Henry, L.
and Oyanguren, A.
and Marin Benito, C.
and Polci, F.
and Quagliani, R.
and Schiller, M.
and Wang, M.",
title="Hybrid seeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb",
journal="Computer Physics Communications",
year="2021",
publisher="Elsevier",
volume="260",
pages="107713--5pp",
optkeywords="Track reconstruction; Pattern Recognition; LHCb",
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.",
optnote="WOS:000608243400007",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=4685), last updated on Wed, 10 Feb 2021 08:32:40 +0000",
issn="0010-4655",
doi="10.1016/j.cpc.2020.107713",
opturl="https://arxiv.org/abs/2007.02591",
opturl="https://doi.org/10.1016/j.cpc.2020.107713",
language="English"
}