arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.05243physics.plasm-phphysics.atom-ph
收藏

中等耦合稠密等离子体的统计屏蔽模型

Statistical screening model for moderately coupled and dense plasmas

Fuyang Zhou, Yizhi Qu, Junwen Gao, Yulong Ma, Yong Wu, Jianguo Wang

摘要:

对于嵌入稠密等离子体中的原子,等离子体屏蔽效应将极大地改变其结构和动力学,进而决定等离子体的辐射输运性质。在目前的工作中,提出了一个新的统计模型来处理电子屏蔽效应的原子在中等/强耦合和密集的等离子体中,在三体过程中被发现显着影响等离子体电子密度分布,并导致依赖于特定的绑定状态的分布的目标原子。作为一个关键的检验,该模型被应用于模拟热稠密等离子体中的类氦铝和氯的发射光谱,与Stillman等人在2017年和Beiersdorfer等人在2019年的实验结果相比,线位移得到了更好的一致性。与中等耦合等离子体中电子分布的经典分子动力学模拟相比,该模型能更好地描述低能电子的分布,并能很好地考虑多体效应。该模型为合理处理非平衡稠密等离子体对特定束缚态原子的电子屏蔽效应提供了一种有效的工具,这在高精度模拟原子过程、等离子体光谱和辐射输运性质等方面具有重要意义。

英文摘要:

For atoms embedded in dense plasma, the plasma screening effects will greatly alter their structure and dynamics, and then determine the radiation transport properties of the plasma. In the present work, a new statistical model is proposed for treating electron screening effects on atoms in moderately/strongly coupled and dense plasmas, in which the three-body processes are found to significantly influence the plasma-electron density distributions and leads to a dependence of the distribution on the specific bound state of the targeted atom. As a critical check, the model is applied to simulate the emission spectra of He-like Aluminum and Chlorine in hot dense plasmas, and much better agreements of the line shifts are obtained with the experiments of Stillman et al. in 2017 and Beiersdorfer et al. in 2019 than previous calculation results. Compared with the classical molecular dynamic simulations of electron distributions in moderately coupled plasmas, the present model can better describe the low-energy electron distribution than other models and the multi-body effects are well considered. The present model provides a promising tool to reasonably treat the electron screening effect of non-equilibrium dense plasma on atoms with specific bound states, which is urgently needed in high-precision simulations of the atomic processes, plasma spectra and radiation transport properties etc.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑