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Dubey, S.; Browder, T. E.; Kohani, S.; Mandal, R.; Sibidanov, A.; Sinha, R.; Vahsen, S.E.
EPJ Web of conferences, 2024, Letnik: 295Journal Article
We report the status of a neural network regression model trained to extract new physics (NP) parameters in Monte Carlo (MC) simulation data. We utilize a new EvtGen NP MC generator to generate B → K* 0 µ + µ − events according to the deviation of the Wilson Coefficient C 9 from its SM value, δ C 9 . We train a three-dimensional ResNet regression model, using images built from the angular observables and the invariant mass of the di-muon system, to extract values of δ C 9 directly from the MC data samples. This work is intended for future analyses at the Belle II experiment but may also find applicability at other experiments.
