IAFE   05512
INSTITUTO DE ASTRONOMIA Y FISICA DEL ESPACIO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Bayesian atomic structure calculations for collisional problems
Autor/es:
J.I. DI FILIPPO; A. M. P. MENDEZ; D.M. MITNIK; S.D. LOPEZ
Lugar:
Deauville
Reunión:
Conferencia; 31st International Conference on Photonic, Electronic and Atomic Collisions (ICPEAC XXXI); 2019
Institución organizadora:
ICPEAC
Resumen:
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