用随机相位近似法计算 140Ce 核结构的哈特里-福克平均场

IF 1.4 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Iranian Journal of Science and Technology, Transactions A: Science Pub Date : 2024-05-04 DOI:10.1007/s40995-024-01624-w
Akram Mohammed Ali
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摘要

计算哈特里-福克基态核激发态以及能量密度函数的基本技术被称为随机相近似(RPA)。在这项工作中,我们将在哈特里-福克+自洽 RPA 的框架内,利用两个 Skyrme 相互作用参数(SIII、SGII)研究 140Ce 的核结构。我们利用略高于实验值的 SIII 得到了相关能的良好结果,这表明了该原子核中的神奇数字。与两种作用力的均方根相对应的单粒子密度表明,质子密度的分布在较小的距离上比其他密度的分布要低。研究推断,在自洽的 RPA 方案中,取决于 Skyrme 力的 Hartree-Fock 方法可以很好地描述 140Ce 球核基态和激发态的性质。
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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Hartree–Fock Mean Field Calculations with Random Phase Approximation for 140Ce Nuclei Structure

The fundamental technique for calculating excited states of nuclei over the Hartree–Fock ground state, as well as for energy density functionals, is known as random phase approximation (RPA). In this work, the nuclear structure of the 140Ce will be studied within the framework of Hartree–Fock + self-consistent RPA utilizing two Skyrme interaction parameters (SIII, SGII). We obtained a good result for the correlation energy using SIII marginally higher than its experimental value and this indicates the magic number in this nuclei. The single-particle density corresponding to rms of two forces showed that the distribution of the proton density falls off at a lesser distance than that of other densities. It is inferred from the work that the method of Hartree–Fock depending on Skyrme forces within a self-consistent RPA scheme is good for describing the properties of 140Ce spherical nucleus ground and excitation states.

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来源期刊
CiteScore
4.00
自引率
5.90%
发文量
122
审稿时长
>12 weeks
期刊介绍: The aim of this journal is to foster the growth of scientific research among Iranian scientists and to provide a medium which brings the fruits of their research to the attention of the world’s scientific community. The journal publishes original research findings – which may be theoretical, experimental or both - reviews, techniques, and comments spanning all subjects in the field of basic sciences, including Physics, Chemistry, Mathematics, Statistics, Biology and Earth Sciences
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