Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations | |
He, X. T.; Yu, W.; Fritzsche, S.; Wu, D. | |
刊名 | Phys. Rev. E |
2017 | |
卷号 | 95期号:2 |
通讯作者 | wudong@siom.ac.cn ; s.fritzsche@gsi.de |
英文摘要 | A Monte Carlo approach to proton stopping in warm dense matter is implemented into an existing particlein-cell code. This approach is based on multiple electron-electron, electron-ion, and ion-ion binary collision and accounts for both the free and the bound electrons in the plasmas. This approach enables one to calculate the stopping of particles in a more natural manner than existing theoretical treatment. In the low-temperature limit, when "all" electrons are bound to the nucleus, the stopping power coincides with the predictions from the Bethe-Bloch formula and is consistent with the data from the National Institute of Standard and Technology database. At higher temperatures, some of the bound electrons are ionized, and this increases the stopping power in the plasmas, as demonstrated by A. B. Zylstra et al. [Phys. Rev. Lett. 114, 215002 (2015)]. At even higher temperatures, the degree of ionization reaches a maximum and thus decreases the stopping power due to the suppression of collision frequency between projected proton beam and hot plasmas in the target. |
收录类别 | SCI |
资助信息 | German Academic Exchange Service (DAAD); China Scholarship Council (CSC) |
WOS记录号 | WOS:000394094500007 |
内容类型 | 期刊论文 |
源URL | [http://ir.siom.ac.cn/handle/181231/27682] |
专题 | 上海光学精密机械研究所_强场激光物理国家重点实验室 |
作者单位 | 中国科学院上海光学精密机械研究所 |
推荐引用方式 GB/T 7714 | He, X. T.,Yu, W.,Fritzsche, S.,et al. Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations[J]. Phys. Rev. E,2017,95(2). |
APA | He, X. T.,Yu, W.,Fritzsche, S.,&Wu, D..(2017).Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations.Phys. Rev. E,95(2). |
MLA | He, X. T.,et al."Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations".Phys. Rev. E 95.2(2017). |
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