arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~

辐射传输方程的数据驱动降阶模型

Data-driven reduced-order models for the radiative transfer equation

Yinxi Pan, Kui Ren, Shanyin Tong

arXiv 2608.22041首次发表:更新:

AI 中文总结

该研究针对辐射传输方程,提出数据驱动的降阶模型框架,分别处理各向同性与各向异性散射介质的情况,通过数值模拟验证了模型的有效性。

AI 中文摘要

我们提出一种针对辐射传输方程(RTE)解的零阶角矩而非全相空间解的数据驱动降阶建模(ROM)框架。该构建基于角平均密度的Peierls积分形式,对于各向同性散射介质,密度满足带全局衰减弱奇异核的第二类Fredholm封闭方程,我们直接投影此方程;对于各向异性散射介质,我们利用平均-波动分解推导基于投影的ROM封闭系统。数值模拟验证了所实现ROM的有效性。

英文摘要

We present a data-driven reduced-order modeling (ROM) framework for the zeroth angular moment of the solution to the radiative transfer equation (RTE) rather than the full phase-space solution. Our construction is based on the Peierls integral formulation of the angularly averaged density. For media with isotropic scattering, the density satisfies a closed second-kind Fredholm equation with a globally attenuated, weakly singular kernel. We project this equation directly. For media with anisotropic scattering, we utilize the average-fluctuation decomposition to derive a closed system for a projection-based ROM. Numerical simulations are presented to illustrate the effectiveness of the ROMs we implemented.

论文原文

arXiv 摘要页 · PDF 原文 · HTML 原文

↑