Bibliographic Details
| Title: |
Atomic data and collisional ionization cross-sections by electron impact of F-like tungsten, W65+. |
| Authors: |
El-Maaref, A.A.1 (AUTHOR) aauelmaaref@ju.edu.sa |
| Source: |
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 6/20/2026, Vol. 40 Issue 15, p1-17. 17p. |
| Subjects: |
Atomic structure, Electron impact ionization, Plasma diagnostics, Quantum electrodynamics, Nuclear fusion |
| Abstract: |
In this work, we present a detailed investigation of the atomic structure and electron-impact ionization cross-sections of fluorine-like tungsten, W 6 5 + , a charge state of particular importance in fusion plasmas. The multiconfiguration Dirac–Hartree–Fock (MCDHF) method, implemented in the GRASP2018 code, was employed to calculate level energies, oscillator strengths and radiative transition rates. These calculations were complemented by results from the Flexible Atomic Code (FAC) to ensure internal consistency and cross-validation. In contrast to earlier studies, we include quantum electrodynamics (QED) corrections (vacuum polarization and self-energy), allowing improved accuracy for fine-structure splitting and transition energies. The ionization cross-sections of several low-lying levels were computed in the 10–250 keV incident energy range using FAC. Comparisons with NIST and previous theoretical data demonstrate very good agreement for most levels, while highlighting specific high-lying states where QED and correlation effects are significant. The resulting dataset provides accurate atomic parameters essential for plasma diagnostics, impurity transport modeling and spectral analysis in magnetic confinement fusion devices such as ITER. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |