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Title: A new algorithm for identifying the flavour of B-s(0) mesons at LHCb
Author: Garrido Beltrán, Lluís
Gascón Fora, David
Graciani Díaz, Ricardo
Graugés Pous, Eugeni
Marin Benito, Carla
Picatoste Olloqui, Eduardo
Rives Molina, Vicente José
Badalov, Alexey
LHCb Collaboration
Keywords: Mètodes estadístics
Mesons (Física nuclear)
Xarxes neuronals (Informàtica)
Interaccions d'hadrons
Statistical methods
Mesons (Nuclear physics)
Neural networks (Computer science)
Hadron interactions
Issue Date: 17-May-2016
Publisher: Institute of Physics (IOP)
Abstract: A new algorithm for the determination of the initial flavour of B0s 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 B0s meson. The second network combines the kaon charges to assign the B0s 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 B0s-bar B0s flavour oscillations in B0s → D−sπ+ decays, and by analysing flavour-specific B*s2(5840)0 → B+K− decays. The tagging power measured in B0s → D−sπ+ 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.
Note: Reproducció del document publicat a:
It is part of: Journal of Instrumentation, 2016, vol. 11, num. P05010
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ISSN: 1748-0221
Appears in Collections:Articles publicats en revistes (Institut de Ciències del Cosmos (ICCUB))
Articles publicats en revistes (Física Quàntica i Astrofísica)

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