Machine Learning for New Physics Searches in B → K∗0 µ+µ− Decays

Sumitted to PubDB: 2023-09-22

Category: Proceeding, Visibility: Public

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Authors	Thomas Browder, Shawn Dubey, Shahab Kohani, Alexei Sibidanov, Rahul Sinha, Sven Vahsen
Non-Belle II authors	R. Mandal
Date	Sept. 22, 2023
Belle II Number	BELLE2-CONF-PROC-2023-035
Abstract	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 C9 from its SM value, δC9 . 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 δC9 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.