类 He 到类 C 钴离子 Mα 转变参数的理论研究

IF 4.4 2区工程技术 Q2 CHEMISTRY, MULTIDISCIPLINARY

Journal of Physical and Chemical Reference Data Pub Date : 2024-04-04 DOI:10.1063/5.0197566

Su Wang, B. Deng, Jiarui Qiao, Rui Yang, Guosheng Zhang

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引用次数: 0

摘要

本文采用多配置 Dirac-Hartree-Fock 方法研究了类 He Co 离子向类 C Co 离子的 Mα 转变。这项研究涵盖了各种参数，如能级、波长、跃迁速率、振荡器强度和线强度。能级计算中包含了布雷特相互作用、真空极化和自能修正。我们得到的计算结果与实验和理论结果都非常吻合。大多数能级、转变波长和振子强度的差异都分别低于 0.6%、0.8% 和 20%。采用定量和定性评价方法对线强度跃迁的不确定性估计方法进行了评估。所得到的精确一致的 MCDHF 数据有望用于钴离子的理论研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Theoretical study on Mα transition parameters of He-like to C-like cobalt ions

The multi-configuration Dirac–Hartree–Fock method is employed to investigate the Mα transitions of He-like to C-like Co ions. This study encompasses various parameters, such as energy levels, wavelengths, transition rates, oscillator strengths, and line strengths. The Breit interaction, vacuum polarization, and self-energy corrections were included in the computation of energy levels. The computed results we obtained align well with both experimental and theoretical findings. The differences for most energy levels, transition wavelengths, and oscillator strengths are all below 0.6%, 0.8%, and 20%, respectively. The uncertainty estimation method of the transitions of line strength is evaluated using quantitative and qualitative evaluation methods. The resulting accurate and consistent MCDHF data are expected to be useful for theoretical research on cobalt ions.

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来源期刊

Journal of Physical and Chemical Reference Data 化学-化学综合

CiteScore

6.90

自引率

11.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Physical and Chemical Reference Data (JPCRD) is published by AIP Publishing for the U.S. Department of Commerce National Institute of Standards and Technology (NIST). The journal provides critically evaluated physical and chemical property data, fully documented as to the original sources and the criteria used for evaluation, preferably with uncertainty analysis. Critical reviews may also be included if they document a reference database, review the data situation in a field, review reference-quality measurement techniques, or review data evaluation methods.