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

Shawn Dubey ; Alexei Sibidanov ; Thomas E. Browder ; Shahab Kohani ; Rusa Mandal ; Saurabh Sandilya ; Rahul Sinha ; Sven E. Vahsen

01 May 2023
CHEP 2023

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.

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 Record created 2023-05-01, last modified 2023-05-12

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