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

Sumitted to PubDB: 2023-05-12

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Authors	Thomas Browder, Shawn Dubey, Shahab Kohani, Saurabh Sandilya, Alexei Sibidanov, Rahul Sinha, Sven Vahsen
Non-Belle II authors	Rusa Mandal
Date	May 1, 2023
Belle II Number	BELLE2-POSTER-CONF-2023-002
Abstract	We report the status of a neural network regression model trained to extract new physics (NP) parame- ters in Monte Carlo (MC) data. We utilize a new EvtGen NP MC generator to generate B → K ∗ µ+ µ− events according to the deviation of the Wilson Coef- ficient C9 from its SM value, δC9 . We train a three- dimensional ResNet regression model, using images built from the the angular observables and the invari- ant mass of the di-muon system, to extract values of δC9 directly from MC data samples. This work is in- tended for future analyses at the Belle II experiment but may also find applicability at other experiments.
Conference	CHEP 2023