DiffRayve: Differentiable Ray-Wave Method for Polarized and Unpolarized Diffractive-Refractive Optical Systems

📅 2026-09-14
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文提出了一种可微射线-波方法,解决了复杂偏振和衍射系统在高保真度与计算效率之间的平衡问题。
📝 Abstract
Current deep optics simulations struggle to balance high fidelity with computational efficiency, particularly for complex polarized and diffractive systems. To address this, we introduce a fully differentiable Shooting and Bouncing Ray (SBR) algorithm that simultaneously models geometric and physical optics fields. Unlike standard wave optics methods, our approach enables accurate, gradient-based optimization of polarized compound refractive-diffractive systems without the computational cost of full-wave simulations. We validate our method against analytical Fraunhofer diffraction patterns and state-of-the-art Fourier optics and wave optics methods. We showcase the practical utility of our differentiable engine through one application: designing a wide field-of-view achromatic lens with multiple Diffractive Optical Elements (DOEs).
Problem

Research questions and friction points this paper is trying to address.

deep optics simulations
computational efficiency
polarized systems
diffractive systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

Differentiable SBR
Polarized Systems
Diffractive-Refractive
Computational Efficiency
Gradient-based Optimization
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