@Article{LHCbCollaborationAaij_etal2016,
author="LHCb Collaboration (Aaij, R. et al
and Martinez-Vidal, F.
and Oyanguren, A.
and Ruiz Valls, P.
and Sanchez Mayordomo, C.",
title="A new algorithm for identifying the flavour of B-s(0) mesons at LHCb",
journal="Journal of Instrumentation",
year="2016",
publisher="Iop Publishing Ltd",
volume="11",
pages="P05010 - 23pp",
optkeywords="Analysis and statistical methods; Particle identification methods; Pattern recognition; cluster finding; calibration and fitting methods",
abstract="A new algorithm for the determination of the initial flavour of B-s(0) mesons is presented. The algorithm is based on two neural networks and exploits the b hadron production mechanism at a hadron collider. The first network is trained to select charged kaons produced in association with the B-s(0) meson. The second network combines the kaon charges to assign the B-s(0) flavour and estimates the probability of a wrong assignment. The algorithm is calibrated using data corresponding to an integrated luminosity of 3 fb(-1) collected by the LHCb experiment in proton-proton collisions at 7 and 8 TeV centre-of-mass energies. The calibration is performed in two ways: by resolving the B-s(0)-B-s(0) flavour oscillations in B-s(0) -> D-s(-)pi(+) decays, and by analysing flavour-specific B-s2*(5840)(0) -> B+K- decays. The tagging power measured in B-s(0) -> D-s(-)pi(+) decays is found to be (1.80 +/- 0.19 ( stat) +/- 0.18 (syst)){\%}, which is an improvement of about 50{\%} compared to a similar algorithm previously used in the LHCb experiment.",
optnote="WOS:000377851700033",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=2731), last updated on Thu, 07 Jul 2016 12:10:19 +0000",
issn="1748-0221",
doi="10.1088/1748-0221/11/05/P05010",
opturl="http://arxiv.org/abs/1602.07252",
opturl="https://doi.org/10.1088/1748-0221/11/05/P05010",
archivePrefix="arXiv",
eprint="1602.07252",
language="English"
}