De-excitation of K-shell hollow atoms with 12≤Z≤20: Transition rates and branching ratios

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Karol Kozioł, Jacek Rzadkiewicz
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引用次数: 0

Abstract

Investigating K-shell hollow atom spectra enhances our understanding of femtosecond phenomena in atomic physics, chemistry, and biology. Synchrotron measurements of two-electron one-photon (TEOP) transitions in low-Z atoms have revealed discrepancies between experimental results and theoretical predictions of TEOP relative intensities. These discrepancies appear to originate from an incomplete description of an atom’s response to the strong perturbation caused by K-shell double photoionization (DPI). The multiconfiguration Dirac–Hartree–Fock relativistic configuration interaction method has been applied for studying the TEOP spectra of Mg, Al, Si, S, Ar, and Ca atoms. The results show that branching ratios can be accurately reproduced by accounting for the effects of core and valence electron correlations, as well as the outer-shell ionization and excitation processes following K-shell DPI.
12≤Z≤20的k壳中空原子的退激发:跃迁速率和支化比
对k壳中空原子光谱的研究增强了我们对原子物理、化学和生物学飞秒现象的理解。对低z原子中双电子单光子(TEOP)跃迁的同步加速器测量揭示了TEOP相对强度的实验结果与理论预测之间的差异。这些差异似乎源于对原子对k壳双光子电离(DPI)引起的强扰动的响应的不完整描述。应用多组态Dirac-Hartree-Fock相对论组态相互作用方法研究了Mg、Al、Si、S、Ar和Ca原子的TEOP谱。结果表明,通过考虑核电子和价电子相关性的影响,以及k壳层DPI后的外层电离和激发过程,可以准确地再现分支比。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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