A new algorithm for the determination of the initial flavour of B 0 s 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 B0 s meson. The second network combines the kaon charges to assign the B0 s 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 protonproton collisions at 7 and 8 TeV centre-of-mass energies. The calibration is performed in two ways: by resolving the B 0 sB 0 s flavour oscillations in B 0 s →D - s φ + decays, and by analysing flavour-specific B∗ s2 (5840) 0→ B +K - decays. The tagging power measured in B 0 s → D - s φ + 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.
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© CERN 2016 for the benefit of the LHCb collaboration.
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All Science Journal Classification (ASJC) codes
- Mathematical Physics