Use of Bayesian Optimization to understand the structure of nuclei

Monte Carlo simulations are widely used in nuclear physics to model experimental systems. In cases where there significant unknown quantities, such as energies of states, an iterative process simulating and fitting is often required describe data. We a Bayesian approach data, designed for data from 12Be(d,p) reaction measurement, using made with GEANT4. Q-values the 12C(d,p) well-known states 13C compared BayesOpt. The were not included simulation reproduce situation 13Be poorly known. Both had low statistics resolution broadening owing large proton energy losses solid deuterium target. Excitation lowest three excited extracted better than 90 keV, paving way extracting information on 13Be.