发表机构
Villanova University（维拉诺瓦大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出差分双盲傅里叶全息术（diff-DBFH），一种基于瞳面扰动的双图像波前传感方法，利用线性框架实现更精确的波前估计，并通过模拟和实验验证其性能优于dOTF。
AI 中文摘要
高性能光学系统，包括太空望远镜，需要波前传感和校正能力，以实现接近衍射极限的分辨率。现有的波前传感方法涵盖多种架构，但许多需要专用的干涉测量硬件，依赖计算密集的非线性或迭代重建算法，或仅提供有限的波前信息。焦平面波前传感方法尤其具有吸引力，因为它们可以在没有专用计量硬件的情况下运行，其中双盲傅里叶全息术（DBFH）作为一种稳健且计算量轻的非线性和迭代求解器替代方案脱颖而出。在此，我们引入了差分双盲傅里叶全息术（diff-DBFH），这是DBFH的一种基于小幅度瞳面扰动的双图像变体。受差分光学传递函数（dOTF）的启发，diff-DBFH利用DBFH的线性框架，产生更精确的波前估计。我们推导了diff-DBFH的形式体系，在受宜居世界天文台启发的分段孔径几何上，通过数值模拟将其性能与dOTF进行比较，分析了其在噪声条件下的灵敏度，并使用同一孔径的光学平台模型实验演示了该方法。
英文摘要
High-performance optical systems, including space telescopes, require wavefront-sensing and correction capabilities to achieve resolution near the diffraction limit. Existing wavefront-sensing approaches span a broad range of architectures, but many require dedicated interferometric hardware, rely on computationally intensive nonlinear or iterative reconstruction algorithms or provide only limited wavefront information. Focal-plane wavefront-sensing methods are particularly attractive because they can operate without dedicated metrology hardware, and among these, Double Blind Fourier Holography (DBFH) stands out as a robust and computationally light alternative to nonlinear and iterative solvers. Here we introduce differential Double Blind Fourier Holography (diff-DBFH), a two-image variant of DBFH based on a small pupil-plane amplitude perturbation. Inspired by differential Optical Transfer Function (dOTF), diff-DBFH leverages the linear framework of DBFH to produce a more precise wavefront estimate. We derive the diff-DBFH formalism, compare its performance against dOTF using numerical simulations on a segmented aperture geometry inspired by the Habitable Worlds Observatory, analyze its sensitivity under noisy conditions, and demonstrate the method experimentally using an optical bench model of the same aperture.
