Bayesian atomic structure calculations for collisional problems

MENDEZ A M P; DI FILLIPPO J I; LÓPEZ, S D; MITNIK D M

Deauville

Conferencia; XXXI International Conference on Photonic, Electronic, and Atomic Collisions; 2019

The calculations of collisional processes require an accurate description of the target. In general, the atomic structure is obtained through tedious iterations in which a variety of configurations and parameters are chosen to minimize the differences between the numerical and experimental values of the energies and the oscillator strengths. Using a Bayesian machine learning analysis through a Tree?structured Parzen Estimator, we can reproduce the experimental atomic structure with high accuracy. Results for neutral beryllium are presented.