Transfer matrices and solution of the problem of stochastic dynamics of aerosol clusters by Monte Carlo method

Pub Date : 2022-02-01 DOI:10.1515/rnam-2022-0001
A. Cheremisin
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引用次数: 1

Abstract

Abstract A Monte Carlo algorithm based on the use of transfer matrices is developed to describe the stochastic dynamics of the rotational--translational motion of aerosol clusters taking into account fluctuations in the molecular fluxes of the gas medium. In the general case, the cluster is immersed into a rarefied gas medium, the temperatures of its surfaces may differ from the temperature of the surrounding gas, for example, due to absorption of visible and infrared radiation. The motion of the cluster is described based on Langevin motion equations. The algorithm allows one to calculate parameters of the probability distribution of a six-dimensional vector consisting of components of the momentum and angular momentum vectors transmitted to the cluster by molecular flows. The numerical method allows one to apply preliminary analytical averaging modulo velocities of molecules for both the average values of the components of momentum and angular momentum and their correlation characteristics, which significantly reduces the calculation time.
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传递矩阵与气溶胶团簇随机动力学问题的蒙特卡罗解法
摘要考虑到气体介质分子通量的波动,提出了一种基于传递矩阵的蒙特卡罗算法来描述气溶胶团簇旋转-平移运动的随机动力学。在一般情况下,团簇浸入稀薄的气体介质中,其表面的温度可能与周围气体的温度不同,例如,由于吸收可见光和红外辐射。基于Langevin运动方程描述了星团的运动。该算法允许计算由分子流传输到团簇的动量和角动量矢量的分量组成的六维矢量的概率分布的参数。该数值方法允许对动量和角动量分量的平均值及其相关特性应用分子的模速度的初步分析平均,这显著减少了计算时间。
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