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在粒子模拟中采用蒙特卡罗方法计算质子在温稠密物质中的阻止本领

Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations.

作者信息

Wu D, He X T, Yu W, Fritzsche S

机构信息

State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, 201800 Shanghai, China.

Helmholtz Institut Jena, D-07743 Jena, Germany.

出版信息

Phys Rev E. 2017 Feb;95(2-1):023207. doi: 10.1103/PhysRevE.95.023207. Epub 2017 Feb 16.

DOI:10.1103/PhysRevE.95.023207
PMID:28297992
Abstract

A Monte Carlo approach to proton stopping in warm dense matter is implemented into an existing particle-in-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)]PRLTAO0031-900710.1103/PhysRevLett.114.215002. 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.

摘要

一种用于质子在温稠密物质中阻止本领的蒙特卡罗方法被应用到现有的粒子模拟程序中。这种方法基于多电子 - 电子、电子 - 离子和离子 - 离子二元碰撞,并考虑了等离子体中的自由电子和束缚电子。与现有的理论处理方法相比,这种方法能够以更自然的方式计算粒子的阻止本领。在低温极限下,当“所有”电子都束缚于原子核时,阻止本领与贝特 - 布洛赫公式的预测结果一致,并且与美国国家标准与技术研究院数据库的数据相符。在较高温度下,一些束缚电子被电离,正如A. B. 齐尔斯特拉等人[《物理评论快报》114, 215002 (2015)]所证明的,这会增加等离子体中的阻止本领。[《物理评论快报》114, 215002 (2015)]PRLTAO0031 - 900710.1103/PhysRevLett.114.215002。在更高温度下,电离程度达到最大值,由于入射质子束与靶中热等离子体之间碰撞频率的抑制,阻止本领因而降低。

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