Issue |
A&A
Volume 683, March 2024
|
|
---|---|---|
Article Number | A113 | |
Number of page(s) | 8 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361/202346939 | |
Published online | 12 March 2024 |
Into nonlinearity and beyond for Zernike-like wavefront sensors
Steward Observatory, University of Arizona,
933N Cherry Avenue, Tucson,
Arizona,
85721, USA
e-mail: shaffert@arizona.edu
Received:
18
May
2023
Accepted:
5
November
2023
Context. Telescopes like the Extremely Large Telescope (ELT) and the Giant Magellan Telescope (GMT) will be used together with extreme adaptive optics (AO) instruments to directly image Earth-like planets. The AO systems will need to perform at the fundamental limit in order to image Earth twins. A crucial component is the wavefront sensor. Interferometric wavefront sensors, such as the Zernike wavefront sensor (ZWFS), have been shown to perform close to the fundamental sensitivity limit. However, sensitivity comes at the cost of linearity; the ZWFS has strong nonlinear behavior.
Aims. The aim of this work is to increase the dynamic range of Zernike-like wavefront sensors by using nonlinear reconstruction algorithms combined with phase sorting interferometry (PSI) and multi-wavelength measurements.
Methods. The response of the ZWFS is explored analytically and numerically.
Results. The proposed iterative (non)linear reconstructors reach the machine precision for small aberrations (<0.25 rad rms). Coupling the nonlinear reconstruction algorithm with PSI increases the dynamic range of the ZWFS by a factor of three to about 0.75 rad rms. Adding multiple wavebands doubles the dynamic range again, to 1.4 radians rms.
Conclusions. The ZWFS is one of the most sensitive wavefront sensors, but has a limited dynamic range. The ZWFS will be an ideal second-stage wavefront sensor if it is combined with the proposed nonlinear reconstruction algorithm.
Key words: instrumentation: adaptive optics / instrumentation: interferometers
© The Authors 2024
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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