Image Correction with Curvature and Geometric Wavefront Sensors in Simulation and On-sky

Hickman, Sierra; Weddell, Stephen J.; Clare, Richard

doi:10.1109/ivcnz48456.2019.8961022

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Using Equation ( 10), the estimated Zernike coefficients reconstruct the GWFS estimated wavefront. Any high order internal aberrations in the optical path are removed from the final GWFS wavefront estimate by using Equation (13). Equation ( 12) requires an interaction matrix, Θ, for both the CWFS and GWFS in order to estimate the Zernike coefficients of the wavefront.…”

Section: Experimental Processmentioning

confidence: 99%

“…Due to the relatively new interest in the GWFS for astronomical AO and DWFS among the scientific community [11][12][13][14] and the authors' investment into a new imaging instrument for MJUO, 15 it is important to establish guidelines for various parameters within the GWFS to optimize its performance. Parameters investigated in this paper are: the number of Zernike modes used to construct the synthetic interaction matrix and to estimate the wavefront, the virtual propagation distance used to create the synthetic interaction matrix, the number of Radon angles used to measure the wavefront, and the sensitivity of the WFS under various signal-to-noise ratios (SNR).…”

Section: Properties Investigatedmentioning

confidence: 99%

“…10 However, it has only recently received significant interest. [11][12][13][14] Pal et al 11 first used the GWFS on-sky in open-loop DWFS in 2016, while Colodro-Conde et al 14 were the first to use the GWFS (which they call Two Pupil Plane Positions Wavefront Sensor or TP3-WFS) in closed-loop AO in 2017. While similar to the CWFS, initial investigations have shown the GWFS to have superior performance over the CWFS.…”

Section: Introductionmentioning

confidence: 99%

“…While similar to the CWFS, initial investigations have shown the GWFS to have superior performance over the CWFS. 10,11,13 It is of interest to further validate these results, as well as to compare the GWFS's performance against the SH-WFS in a controlled laboratory environment. It is also of importance to characterize and optimize the GWFS's performance capabilities for DWFS and AO due to the relatively new interest in the GWFS.…”

Section: Introductionmentioning

confidence: 99%

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Test bench demonstration of the geometric wavefront sensor

Hickman

Weddell

Clare

2020

Adaptive Optics Systems VII

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This paper investigates the performance and optimization of the Geometric Wavefront Sensor (GWFS) in openloop wavefront sensing, along with the Curvature Wavefront Sensor (CWFS) and Shack-Hartmann Wavefront Sensor (SH-WFS). The GWFS uses a ray tracing process to calculate the displacement of intensity fluctuations from two defocused point source images. While similar to the CWFS, initial simulations and testing have shown the GWFS to have superior performance compared to the CWFS. Various parameters within the GWFS -such as the signal-to-noise ratio (SNR) sensitivity, the number of Radon angles, the virtual propagation distance, and the number of reconstruction modes -are explored on a laboratory test bench. We found that the GWFS wavefront estimate error experiences an inverse relationship to the SNR, a minimum of 5 Radon angles is required to accurately estimate the single Zernike mode wavefronts (Z 4 -Z 15 ), the virtual propagation distance is confined by ray crossing and Fresnel diffraction effects, and the number of reconstruction Zernike modes is limited by noise amplification and over-fitting. This paper demonstrates the capabilities of the GWFS, illustrates the resulting wavefront estimates, and confirms the superior performance of the GWFS compared to the CWFS. The optimized GWFS will be utilized at Mt. John University Observatory (MJUO) in New Zealand for satellite and space debris imaging and tracking.

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Section: Experimental Processmentioning

confidence: 99%