A new algorithm for identifying the flavour of mesons at LHCb
arXiv:1602.07252 · doi:10.1088/1748-0221/11/05/P05010
Abstract
A new algorithm for the determination of the initial flavour of mesons is presented. The algorithm is based on two neural networks and exploits the hadron production mechanism at a hadron collider. The first network is trained to select charged kaons produced in association with the meson. The second network combines the kaon charges to assign the flavour and estimates the probability of a wrong assignment. The algorithm is calibrated using data corresponding to an integrated luminosity of 3 fb 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 - flavour oscillations in decays, and by analysing flavour-specific decays. The tagging power measured in decays is found to be \%, which is an improvement of about 50\% compared to a similar algorithm previously used in the LHCb experiment.
All figures and tables, along with any supplementary material and additional information, are available at https://lhcbproject.web.cern.ch/lhcbproject/Publications/LHCbProjectPublic/LHCb-PAPER-2015-056.html
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