A self-adjoint Fourier-type model for the iQuad wavefront sensor

TL;DR

This paper develops a mathematical framework for the iQuad wavefront sensor, revealing its self-adjoint property, introducing a double configuration, and extending modulation, thereby enabling advanced wavefront reconstruction in adaptive optics.

Contribution

It establishes the first comprehensive mathematical model of the iQuad WFS, including its self-adjointness, and proposes a double configuration to improve performance and modeling simplicity.

Findings

iQuad WFS is mathematically connected to the 2d finite Hilbert transform.

The linear iQuad WFS operator is self-adjoint.

The double iQuad WFS suppresses poorly-seen phase components and simplifies modeling.

Abstract

Advanced adaptive optics (AO) systems can use Fourier-type wavefront sensing to correct optical distortions encountered in ground-based telescopes, AO-assisted retinal imaging, and free-space optical communications (FSOC). Recently, a novel Fourier-type wavefront sensor (WFS) known as the iQuad WFS has been introduced. Its design features a focal plane tessellation with a four-quadrant phase mask (FQPM) that incorporates a $\pm \pi/2$ phase shift between adjacent quadrants. In this work, we establish a comprehensive mathematical framework for the iQuad WFS, including its forward models and linearizations based on the Fr\'echet derivative. We reveal a connection between the iQuad WFS and the 2d finite Hilbert transform and demonstrate that the linear iQuad WFS operator is self-adjoint - a unique property among Fourier-type WFSs. Additionally, we introduce the double iQuad WFS, a two-path configuration that combines two rotated iQuad WFSs. This design addresses the limitations of the single iQuad WFS by suppressing poorly-seen phase components. Moreover, the double setup simplifies the mathematical modeling. We also highlight iQuad similarities to the widely used pyramid wavefront sensor (PWFS). Finally, we extend the concept of modulation to the iQuad WFS, further enhancing its versatility. The theoretical analysis presented here lays the groundwork for the development of fast and robust model-based wavefront reconstruction algorithms for the iQuad WFS, paving the way for future applications in AO instruments.