A Python Program for Computation of Transition Probabilities, Oscillator Strengths for Li-like ions

TL;DR

This paper introduces a user-friendly Python program for calculating spectroscopic properties of lithium-like ions, providing an accessible alternative to complex existing software and validated against NIST data.

Contribution

A new Python-based tool for computing atomic transition probabilities and related spectral quantities for Li-like ions, requiring minimal setup and compatible with personal computers.

Findings

Results align with NIST data for tested ions.

The program is easy to use and portable.

Applicable to a range of lithium-like ions.

Abstract

The available software to study the spectroscopic characteristics of atoms, ions, and molecules runs on a server, e.g., the general-purpose atomic structure package (GRASP) and R-matrix method. A Python program has been developed to compute Transition Probabilities, oscillator strengths, Line strengths, matrix elements, and radii of the orbit for lithium and its iso-electronic sequence. The program is straightforward, easily applicable without installation, and uses built-in Python libraries. It can be run on personal computers core I3 and above. The effective charge, effective quantum numbers, and energies of upper and lower levels serve as input parameters for computing the spectral quantities mentioned above. As a case study, we implemented our program on Li I, F VII, Na IX, Al XI, Mg X, and Fe XXIV to calculate transition probabilities, oscillator strengths, and line strengths. The results are compared and found to align with the corresponding values in the NIST data.