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arXiv 2404.07293physics.opticscs.MS
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sCWatter:面向光谱学与显微术的开源耦合波散射模拟工具

sCWatter: Open source coupled wave scattering simulation for spectroscopy and microscopy

Ruijiao Sun, Rohith Reddy, David Mayerich

AI总结:

针对高数值孔径下传统光学模拟方法的局限性,研究团队提出开源工具sCWatter,基于耦合波理论并通过层间方程降维、硬件加速等优化,实现复杂样品散射三维电场的高效模拟与可视化。

摘要:

多种新兴显微成像方法依赖入射光与样品之间的复杂相互作用,包括干涉测量、光谱学和非线性光学。从测得的散射场重建样品需要快速且准确的光学模型。光线追踪、玻恩近似(Born approximation)等快速方法在高数值孔径场景下存在局限性。本文提出sCWatter,这是一款利用耦合波理论(coupled wave theory, CWT)模拟并可视化复杂样品散射的三维电场的开源工具。样品折射率在体网格上定义,入射场以与光路正交的二维图像形式提供。我们引入了层间连接方程,可显著降低耦合波线性系统的维度,从而在消费级硬件上实现高效并行处理。结合Intel MKL与CUDA的进一步优化,大幅提升了场模拟与可视化的速度。

英文摘要:

Several emerging microscopy imaging methods rely on complex interactions between the incident light and the sample. These include interferometry, spectroscopy, and nonlinear optics. Reconstructing a sample from the measured scattered field relies on fast and accurate optical models. Fast approaches like ray tracing and the Born approximation have limitations that are limited when working with high numerical apertures. This paper presents sCWatter, an open-source tool that utilizes coupled wave theory (CWT) to simulate and visualize the 3D electric field scattered by complex samples. The sample refractive index is specified on a volumetric grid, while the incident field is provided as a 2D image orthogonal to the optical path. We introduce connection equations between layers that significantly reduce the dimensionality of the CW linear system, enabling efficient parallel processing on consumer hardware. Further optimizations using Intel MKL and CUDA significantly accelerate both field simulation and visualization.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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