par Jönsson, Per Ebbe P.;Godefroid, Michel 
;Gaigalas, Gediminas;Ekman, Jörgen;Grumer, Jon;Li, Wenxian;Li, Jiguang ;Brage, Tomas;Grant, I.P.;Bieroń, Jacek;Fischer, Christine
Référence Atoms, 11, 1, 7
Publication Publié, 2023-01
;Gaigalas, Gediminas;Ekman, Jörgen;Grumer, Jon;Li, Wenxian;Li, Jiguang ;Brage, Tomas;Grant, I.P.;Bieroń, Jacek;Fischer, ChristineRéférence Atoms, 11, 1, 7
Publication Publié, 2023-01
Article révisé par les pairs
| Résumé : | Computational atomic physics continues to play a crucial role in both increasing the understanding of fundamental physics (e.g., quantum electrodynamics and correlation) and producing atomic data for interpreting observations from large-scale research facilities ranging from fusion reactors to high-power laser systems, space-based telescopes and isotope separators. A number of different computational methods, each with their own strengths and weaknesses, is available to meet these tasks. Here, we review the relativistic multiconfiguration method as it applies to the General Relativistic Atomic Structure Package [grasp2018, C. Froese Fischer, G. Gaigalas, P. Jönsson, J. Bieroń, Comput. Phys. Commun. (2018). DOI: 10.1016/j.cpc.2018.10.032]. To illustrate the capacity of the package, examples of calculations of relevance for nuclear physics and astrophysics are presented. |
