A Markov chain approach to modelling charge exchange processes of an ion beam in monotonically increasing or decreasing potentials

O. Shrier, Joe Khachan, S. G. Bosi
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引用次数: 8

Abstract

A Markov chain method is presented as an alternative approach to Monte Carlo simulations of charge exchange collisions by an energetic hydrogen ion beam with a cold background hydrogen gas. This method was used to determine the average energy of the resulting energetic neutrals along the path of the beam. A comparison with Monte Carlo modelling showed a good agreement but with the advantage that it required much less computing time and produced no numerical noise. In particular, the Markov chain method works well for monotonically increasing or decreasing electrostatic potentials. Finally, a good agreement is obtained with experimental results from Doppler shift spectroscopy on energetic beams from a hollow cathode discharge. In particular, the average energy of ions that undergo charge exchange reaches a plateau that can be well below the full energy that might be expected from the applied voltage bias, depending on the background gas pressure. For example, pressures of ≈20 mTorr limit the ion energy to ≈20% of the applied voltage.
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用马尔可夫链方法模拟电势单调递增或递减的离子束电荷交换过程
本文提出了一种马尔可夫链方法,作为蒙特卡罗模拟高能氢离子束与冷背景氢气电荷交换碰撞的替代方法。该方法用于确定沿光束路径产生的高能中性粒子的平均能量。与蒙特卡罗模型的比较表明,该方法具有较好的一致性,而且其优点是所需的计算时间少得多,并且不会产生数值噪声。特别地,马尔可夫链法对单调增加或减少静电势的计算效果很好。最后,用多普勒频移光谱对空心阴极放电的高能光束进行了分析,结果与实验结果吻合较好。特别是,经过电荷交换的离子的平均能量达到一个平台,该平台可能远低于施加电压偏置所期望的全部能量,这取决于背景气体压力。例如,≈20 mTorr的压力将离子能量限制在施加电压的≈20%。
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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