| Issue |
A&A
Volume 670, February 2023
|
|
|---|---|---|
| Article Number | A153 | |
| Number of page(s) | 7 | |
| Section | Astronomical instrumentation | |
| DOI | https://doi.org/10.1051/0004-6361/202245351 | |
| Published online | 21 February 2023 | |
Modeling noise propagation in Fourier-filtering wavefront sensing, fundamental limits, and quantitative comparison
1
Aix-Marseille Univ, CNRS, CNES, LAM,
13388
Marseille Cedex 13, France
2
University of California Santa Cruz,
1156
High St, Santa Cruz, USA
e-mail: vchambou@ucsc.edu
3
DOTA, ONERA, Université Paris Saclay,
91123
Palaiseau, France
4
IFREMER, Laboratoire Detection, Capteurs et Mesures (LDCM), Centre Bretagne, ZI de la Pointe du Diable,
CS 10070,
29280
Plouzane, France
5
INAF – Osservatorio Astronomico di Arcetri,
Italy
Received:
1
November
2022
Accepted:
26
December
2022
Context. Adaptive optics (AO) is a technique allowing for ground-based telescopes’ angular resolution to be improved drastically. 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 (FFWFSs). 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 derived a simple and comprehensive model allowing us to understand how these noises propagate in the phase reconstruction in the linear framework.
Results. This new noise propagation model works for any kind of FFWFS, and it allows one to revisit the fundamental sensitivity limit of these sensors. Furthermore, a new comparison between widely used FFWFSs is held. We focus on the two main FFWFS classes used: the Zernike WFS (ZWFS) and the pyramid WFS (PWFS), bringing new understanding of their behavior.
Key words: techniques: high angular resolution / instrumentation: adaptive optics
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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