ARC 3.0: An expanded Python toolbox for atomic physics calculations
- URL: http://arxiv.org/abs/2007.12016v1
- Date: Thu, 23 Jul 2020 13:54:57 GMT
- Title: ARC 3.0: An expanded Python toolbox for atomic physics calculations
- Authors: Elizabeth J. Robertson, Nikola \v{S}ibali\'c, Robert M. Potvliege,
Matthew P. A. Jones
- Abstract summary: ARC 3.0 is a modular, object-oriented Python library combining data and algorithms.
It enables the calculation of a range of properties of alkali and divalent atoms.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: ARC 3.0 is a modular, object-oriented Python library combining data and
algorithms to enable the calculation of a range of properties of alkali and
divalent atoms. Building on the initial version of the ARC library [N.
\v{S}ibali\'c et al, Comput. Phys. Commun. 220, 319 (2017)], which focused on
Rydberg states of alkali atoms, this major upgrade introduces support for
divalent atoms. It also adds new methods for working with atom-surface
interactions, for modelling ultracold atoms in optical lattices and for
calculating valence electron wave functions and dynamic polarisabilities. Such
calculations have applications in a variety of fields, e.g., in the quantum
simulation of many-body physics, in atom-based sensing of DC and AC fields
(including in microwave and THz metrology) and in the development of quantum
gate protocols. ARC 3.0 comes with an extensive documentation including
numerous examples. Its modular structure facilitates its application to a wide
range of problems in atom-based quantum technologies.
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