论文标题
特定强度空间衍生物,角衍生物和几何灵敏度的物理模型和蒙特卡洛估计值
A physical model and a Monte Carlo estimate for the specific intensity spatial derivative, angular derivative and geometric sensitivity
论文作者
论文摘要
从辐射转移方程式及其通常的边界条件开始,这项工作的目的是设计蒙特卡洛算法估计特定强度的空间和角度衍生物及其几何灵敏度。本文档分为三个部分,每个部分都用于强度的特定衍生物。尽管它们都在这里都集中在一个文档中,但每个衍生物都是独立感兴趣的,无论是用于辐射转移分析还是工程概念。因此,他们被认为是三个不同的论文写的,因此在这里呈现。当使用蒙特卡洛算法求解辐射转移时,估计特定强度的衍生物是具有挑战性的。有限差异通常不够准确,并且直接从特定的蒙特卡洛算法估算衍生物可能会导致艰巨的形式或数值发展。这里的命题是从辐射传递方程及其边界条件中起作用,以设计每个衍生物的物理模型。只有这样,蒙特卡罗算法才使用常规等效路径积分从衍生物微分方程构建。由于相同的方法应用于特定的强度空间衍生物,角衍生物和几何灵敏度,因此我们选择保留所有三个部分的相同写作结构,以使所有共同的思想和发展都完全相同。我们认为,这种选择是一致的,以促进读者的理解。最后,这些是最终论文的初步版本:对于每个部分,理论都被充分描述,但是尽管已实施,但示例和算法部分并不总是完整的。这将在相关部分的介绍中提及。
Starting from the radiative transfer equation and its usual boundary conditions, the objective of this work is to design Monte Carlo algorithms estimating the specific intensity spatial and angular derivatives as well as its geometric sensitivity. The present document is structured in three parts, each of them dedicated to a specific derivative of the intensity. Although they are all assembled here in one document each derivative is of interest independently whether it be for radiative transfers analysis or engineering conception. Therefore, they are thought to be written as three different papers and are presented here as such. Estimating derivatives of the specific intensity when solving radiative transfers using a Monte-Carlo algorithm is challenging. Finite differences are often not sufficiently accurate and directly estimating the derivative from a specific Monte-Carlo algorithm can lead to arduous formal or numerical developments. The proposition here is to work from the radiative transfer equation and its boundary conditions to design a physical model for each derivatives. Only then Monte-Carlo algorithms are built from the derivatives differential equations using the usual equivalent path integral. Since the same methodology is applied to the specific intensity spatial derivative, angular derivative and geometric sensitivity we chose to keep the same writing structure for all three parts so that all common ideas and developments appears exactly the same. We believe this choice to be coherent to facilitate the reader's understanding. Finally, these are preliminary versions of the final papers: for each parts the theory is fully described, but, although they have been implemented, the examples and algorithms sections are not always complete. This will be mentioned in the introductions of the concerned sections.