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T: Fachverband Teilchenphysik

T 73: Flavour Physics IV

T 73.5: Vortrag

Donnerstag, 3. April 2025, 17:15–17:30, VG 1.103

Studies of extended selection methods for the rare decays B_s,d⁰ → µ⁺µ⁻ at the LHCb experiment — Johannes Albrecht, Maik Becker, Quentin Führing, and •Katharina Popp — TU Dortmund University, Dortmund, Germany

Studies of the rare decays B_s,d⁰ → µ⁺ µ⁻ are core to the physics programme of the LHCb experiment as they provide sensitivity to new physics. For effective suppression of combinatorial background and improvement of signal significance, extended selection strategies in the analysis of the rare decays B_s,d⁰ → µ⁺ µ⁻ at the LHCb experiment are investigated. Information from the existing Flavour Tagging algorithms, as well as from the underlying tracks of the event, is taken into account in the classification of signal and background candidates. MC-simulated signal samples as well as LHCb sideband data from 2018 are used, assuming that the data contains only combinatorial background. The data is recorded during LHC Run 2 at a centre-of-mass energy of 13 TeV in proton-proton collisions and corresponding to an integrated luminosity of 2.19 fb⁻¹. The multivariate selection method developed in previous analyses used as a baseline and mistag probabilities of the existing Flavour Tagging algorithms are included. A neural network is trained analogously to the previously used multivariate approach and shows an improvement in the classification. In addition, a DeepSet neural network is trained with the original variables and information about the underlying event. This contribution discusses the effect of the different classification algorithms and input information on the performance of the classification.

Keywords: Rare Decays; LHCb; B physics; FCNC