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.


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    Titel :

    A new algorithm for identifying the flavour of B-s(0) mesons at LHCb


    Beteiligte:
    Aaij, R. (Autor:in) / Beteta, C. Abellan (Autor:in) / Adeva, B. (Autor:in) / Adinolfi, M. (Autor:in) / Affolder, A. (Autor:in) / Ajaltouni, Z. (Autor:in) / Akar, S. (Autor:in) / Albrecht, J. (Autor:in) / Alessio, F. (Autor:in) / Alexander, M. (Autor:in)

    Erscheinungsdatum :

    2016-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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