用于求解辐射传输方程的量化蒙特卡洛法

IF 2.3 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-09-06 DOI:10.1016/j.jqsrt.2024.109178
Laetitia Laguzet , Gabriel Turinici
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引用次数: 0

摘要

我们引入了量化蒙特卡洛方法来求解热辐射输运方程,该方法可能包含多种碰撞机制,从单位时间内的少量碰撞到大量碰撞不等。对于给定模拟单元中的每个粒子,所提出的方法通过直接从粒子的逃逸分布中采样来取代多次碰撞,从而提前了时间。为了进行采样,对于参数网格上的每个三元组参数(不透明度、剩余时间、在单元中的初始位置),都要离线预先计算逸散分布,并只保留量值。在线计算只从这个量化(即离散)版本中采样,方法是在网格上选择一个参数三元组(接近实际粒子的参数),然后从预先计算的该参数的量化集合中随机返回一个量化值。我们首先在数值上检验了逸散规律是否与参数平滑相关,然后在一个基准上实现了这一过程,并取得了良好的结果。
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The Quantization Monte Carlo method for solving radiative transport equations

We introduce the Quantization Monte Carlo method to solve thermal radiative transport equations with possibly several collision regimes, ranging from few collisions to massive number of collisions per time unit. For each particle in a given simulation cell, the proposed method advances the time by replacing many collisions with sampling directly from the escape distribution of the particle. In order to perform the sampling, for each triplet of parameters (opacity, remaining time, initial position in the cell) on a parameter grid, the escape distribution is precomputed offline and only the quantiles are retained. The online computation samples only from this quantized (i.e., discrete) version by choosing a parameter triplet on the grid (close to actual particle’s parameters) and returning at random one quantile from the precomputed set of quantiles for that parameter. We first check numerically that the escape laws depend smoothly on the parameters and then implement the procedure on a benchmark with good results.

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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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