TY  - JOUR
AU  - LHCb Collaboration (Aaij, R. et al
AU  - Martinez-Vidal, F.
AU  - Oyanguren, A.
AU  - Ruiz Valls, P.
AU  - Sanchez Mayordomo, C.
PY  - 2016
DA  - 2016//
TI  - A new algorithm for identifying the flavour of B-s(0) mesons at LHCb
T2  - J. Instrum.
JO  - Journal of Instrumentation
SP  - P05010 - 23pp
VL  - 11
PB  - Iop Publishing Ltd
KW  - Analysis and statistical methods
KW  - Particle identification methods
KW  - Pattern recognition
KW  - cluster finding
KW  - calibration and fitting methods
AB  - 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.
SN  - 1748-0221
UR  - http://arxiv.org/abs/1602.07252
UR  - https://doi.org/10.1088/1748-0221/11/05/P05010
DO  - 10.1088/1748-0221/11/05/P05010
LA  - English
N1  - WOS:000377851700033
ID  - LHCbCollaborationAaij_etal2016
ER  -