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Bibliographic Details
Main Authors: Laguzet, Laetitia, Turinici, Gabriel
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2301.11068
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author Laguzet, Laetitia
Turinici, Gabriel
author_facet Laguzet, Laetitia
Turinici, Gabriel
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2301_11068
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The Quantization Monte Carlo method for solving radiative transport equations
Laguzet, Laetitia
Turinici, Gabriel
Computational Physics
Probability
Applied Physics
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.
title The Quantization Monte Carlo method for solving radiative transport equations
topic Computational Physics
Probability
Applied Physics
url https://arxiv.org/abs/2301.11068