Litcius/Paper detail

An Introduction to Relativistic Theory as Implemented in GRASP

Per Jönsson, Michel Godefroid, Gediminas Gaigalas, J. Ekman, Jon Grumer, Wenxian Li, Jiguang Li, Tomas Brage, I. P. Grant, Jacek Bieroń, Charlotte Froese Fischer

2022Atoms61 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PhysicsGRASPRelativistic quantum chemistryTheoretical physicsComputational physicsStatistical physicsNuclear physicsComputer scienceProgramming languageAtomic and Molecular PhysicsNuclear physics research studiesAstro and Planetary Science