Modeling noise propagation in Fourier-filtering wavefront sensing, fundamental limits and quantitative comparison

Context. 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. Aims. 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. Methods. 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. Results. 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.

Keyword(s)

techniques, high angular resolution, instrumentation, adaptive optics

Full Text

FilePagesSizeAccess
Preprint - arXiv:2212.13577v1
82 Mo
Publisher's official version
76 Mo
How to cite
Chambouleyron Vincent, Fauvarque Olivier, Plantet Cédric, Sauvage Jean-François, Levraud Nicolas, Cissé Mahawa, Neichel Benoît, Fusco Tierry (2023). Modeling noise propagation in Fourier-filtering wavefront sensing, fundamental limits and quantitative comparison. Astronomy & Astrophysics. 670 (A163). 7p.. https://doi.org/10.1051/0004-6361/202245351, https://archimer.ifremer.fr/doc/00814/92600/

Copy this text