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Energy levels and transition probabilities of N+, F3+, and Ne4+ ions

  • Yan Sun EMAIL logo , Feng Hu , WenYi Li , DongDong Liu , MaoFei Mei and BingCong Gou
Published/Copyright: November 6, 2020
Zeitschrift für Naturforschung A
From the journal Zeitschrift für Naturforschung A Volume 76 Issue 1

Abstract

Term energies, oscillator strengths, transition probabilities, and transition wavelengths among the low-lying states of (1s2)2s22p2, 2s22p3p, 2s2p3, 2s22p3s, and 2s22p3d 1,3,5L L = S, P, D, F in N+, F3+, and Ne4+ ions were calculated by using the multiconfiguration Rayleigh-Ritz variation method and restricted variation method. The transition oscillator strengths and transition probabilities for the electric dipole transitions are both given in length and velocity gauges. Deviations between these two gauge values are discussed. The calculated atomic parameters are in good agreement with the observed experimental results and other theoretical data. Furthermore, the uncertainty of each electric dipole transition is estimated. Several uncertainties of transition parameters are improved when comparing with values from national institute of standards and technology NIST database. Atomic parameters presented in this paper should be useful for identifying the levels as well as for precise spectral modeling in astrophysical and laboratory plasmas in the future work.

Keywords: energy level; oscillator strength; transition probability
PACS: 31.15.Ar; 31.10.+z; 32.30.−r; 32.70.Cs
Corresponding author: Yan Sun, School of Physics and New energy, Xuzhou Institute of Technology, Xuzhou 221018, China, E-mail:

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: 11604284, 51506184

Funding source: Six Talent Peaks Project of Jiangsu Province

Award Identifier / Grant number: JY-105

Funding source: QinLan project of Jiangsu Province of China

Funding source: the State Key Laboratory Open Fund of Millimeter Waves of Southeast University

Award Identifier / Grant number: K202105

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work was supported by the National Natural Science Foundation of China, under grant nos. 11604284 and 51506184. Yan Sun and DongDong Liu was supported by the Six Talent Peaks project of Jiangsu Province of China under grant no. JY-105, QinLan project of Jiangsu Province of China, and the State Key Laboratory Open Fund of Millimeter Waves of Southeast University under grant no. K202105.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-08-14
Accepted: 2020-10-11
Published Online: 2020-11-06
Published in Print: 2021-01-27

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Atomic, Molecular & Chemical Physics
  3. Energy levels and transition probabilities of N+, F3+, and Ne4+ ions
  4. Dynamical Systems & Nonlinear Phenomena
  5. Genetic algorithm (GA)–based delay feedback control of chaotic behavior in the voltage mode controlled direct current (DC) drive system
  6. Time-delayed predator–prey interaction with the benefit of antipredation response in presence of refuge
  7. Gravitation & Cosmology
  8. Cosmology of Tsallis holographic scalar field models in Chern–Simons modified gravity and optimization of model parameters through χ2 minimization
  9. Solid State Physics & Materials Science
  10. Thermal conversion of CBD grown ZnS thin films to ZnO
  11. Studies on birefringence, order parameter and image analysis of liquid crystalline p-n butyloxy/butyl benzoic acid with dispersed ZnO nanoparticles
https://doi.org/10.1515/zna-2020-0226
Keywords for this article
energy level; oscillator strength; transition probability

Articles in the same Issue

  1. Frontmatter
  2. Atomic, Molecular & Chemical Physics
  3. Energy levels and transition probabilities of N+, F3+, and Ne4+ ions
  4. Dynamical Systems & Nonlinear Phenomena
  5. Genetic algorithm (GA)–based delay feedback control of chaotic behavior in the voltage mode controlled direct current (DC) drive system
  6. Time-delayed predator–prey interaction with the benefit of antipredation response in presence of refuge
  7. Gravitation & Cosmology
  8. Cosmology of Tsallis holographic scalar field models in Chern–Simons modified gravity and optimization of model parameters through χ2 minimization
  9. Solid State Physics & Materials Science
  10. Thermal conversion of CBD grown ZnS thin films to ZnO
  11. Studies on birefringence, order parameter and image analysis of liquid crystalline p-n butyloxy/butyl benzoic acid with dispersed ZnO nanoparticles
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