论文标题
在傅立叶过滤波前传感，基本限制和定量比较中对噪声传播进行建模
Modeling noise propagation in Fourier-filtering wavefront sensing, fundamental limits and quantitative comparison
论文作者
论文摘要
自适应光学器件（AO）是一种允许大幅改善地面望远镜角度分辨率的技术。波前传感器（WFS）是此类系统的关键组成部分之一，驱动基本的性能限制。在本文中，我们专注于特定类别的WFS：傅立叶过滤波前传感器（FFWFS）。该课程以其极高的灵敏度而闻名。但是，缺少任何类型的FFWF的清晰而全面的噪声传播模型。考虑到读出的噪声和光子噪声，我们得出了一个简单而全面的模型，允许了解这些噪声在线性框架中如何在相重建中传播。这种新的噪声传播模型适用于任何类型的FFWF，并允许重新审视这些传感器的基本灵敏度极限。此外，还进行了广泛使用的FFWF之间的新比较。我们专注于两个主要使用的FFWFS类：Zernike WFS（ZWFS）和金字塔WFS（PWFS），从而带来了对其行为的新理解。
Adaptive optics (AO) is a technique allowing to drastically improve ground-based telescopes angular resolution. The wavefront sensor (WFS) is one of the key components of such systems, driving the fundamental performance limitations. In this paper, we focus on a specific class of WFS: the Fourier-filtering wavefront sensors (FFWFS). This class is known for its extremely high sensitivity. However, a clear and comprehensive noise propagation model for any kind of FFWFS is lacking. Considering read-out noise and photon noise, we derive a simple and comprehensive model allowing to understand how these noises propagates in the phase reconstruction in the linear framework. This new noise propagation model works for any kind of FFWFS, and allows to revisit the fundamental sensitivity limit of these sensors. Furthermore, a new comparison between widely used FFWFS is held. We focus on the two main used FFWFS classes: the Zernike WFS (ZWFS) and the pyramid WFS (PWFS), bringing new understanding of their behavior.
