000003880 001__ 3880
000003880 005__ 20230922151506.0
000003880 037__ $$aBELLE2-CONF-PROC-2023-035
000003880 041__ $$aeng
000003880 100__ $$aS. Dubey
000003880 245__ $$aMachine Learning for New Physics Searches in B → K∗0 µ+µ− Decays
000003880 260__ $$a$$c2023-09-22
000003880 300__ $$a6
000003880 520__ $$aWe 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.
000003880 700__ $$aT.E. Browder
000003880 700__ $$aS. Kohani
000003880 700__ $$aR. Mandal
000003880 700__ $$aA. Sibidanov
000003880 700__ $$aR. Sinha
000003880 700__ $$aS.E. Vahsen
000003880 8560_ $$fsdubey@hawaii.edu
000003880 8564_ $$uhttps://docs.belle2.org/record/3880/files/BELLE2-CONF-PROC-2023-035.pdf