mqdtfit: A collection of Python functions for empirical multichannel quantum defect calculations
Abstract
The Python functions distributed with this article can be used for calculating the parameters of multichannel quantum defect theory models describing excited bound states of complex atoms. These parameters are obtained by fitting a model to experimental data provided by the user. The two main formulations of the theory are supported, namely the one in which the parameters of the model are a set of eigen channel quantum defects and a transformation matrix, and the one where these parameters are the elements of a reactance matrix. The distribution includes programs for calculating theoretical energy levels, calculating mixing coefficients and channel fractions and producing Lu-Fano plots.
Keywords
Cite
@article{arxiv.2403.11783,
title = {mqdtfit: A collection of Python functions for empirical multichannel quantum defect calculations},
author = {R. M. Potvliege},
journal= {arXiv preprint arXiv:2403.11783},
year = {2024}
}
Comments
Accepted for publication in Computer Physics Communications. The codes will be accessible from this journal's repository upon publication, as well as from https://github.com/durham-qlm/mqdtfit