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

Fuente: arXiv
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Autori principali: Zaheer, M. Hani, Khan, M. Bilal, Iqbal, S M Zeeshan, Uddin, Zaheer
Natura: Preprint
Pubblicazione: 2024
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author Zaheer, M. Hani
Khan, M. Bilal
Iqbal, S M Zeeshan
Uddin, Zaheer
author_facet Zaheer, M. Hani
Khan, M. Bilal
Iqbal, S M Zeeshan
Uddin, Zaheer
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2405_19663
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Python Program for Computation of Transition Probabilities, Oscillator Strengths for Li-like ions
Zaheer, M. Hani
Khan, M. Bilal
Iqbal, S M Zeeshan
Uddin, Zaheer
Atomic Physics
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.
title A Python Program for Computation of Transition Probabilities, Oscillator Strengths for Li-like ions
topic Atomic Physics
url https://arxiv.org/abs/2405.19663