Benchtop adaptive-optics testing using a digital-holographic wavefront sensor

We use a benchtop atmospheric turbulence simulator (ATS) and adaptive-optics (AO) system to experimentally evaluate AO performance using a Shack–Hartmann wavefront sensor (SHWFS) and digital-holographic wavefront sensor (DHWFS). We show that while the SHWFS yields performance improvement relative to no AO compensation, the SHWFS struggles in strong scintillation conditions. When we control our AO system using the least-squares component of our DHWFS measurements, we notice a substantial improvement in performance relative to the results we obtain with the SHWFS. We also leveraged our DHWFS measurements to implement a post-processing congruence operation (PCO) algorithm referred to as the least-squares principal value (LSPV). We show that the LSPV-based results yield substantial AO performance improvements in strong scintillation conditions compared to only using the least-squares component of our DHWFS measurements. LSPV enables partial compensation of the hidden-phase component—a requirement to achieve better AO performance when scintillation is strong. These findings will be of interest to researchers exploring AO performance in deep turbulence and those who are interested in branch-point-tolerant AO approaches.

Authors

Publication Details

Published
2025-09-18
DOI
https://doi.org/10.1117/12.3063202
Citations
1
Primary Topic
Adaptive optics and wavefront sensing
Type
article
Field-Weighted Citation Impact
1.25
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article

Benchtop adaptive-optics testing using a digital-holographic wavefront sensor

Milo W. Hyde, Mark F. Spencer, Matthias T. Banet, Matthew Kalensky et al.
1 citations
Adaptive optics and wavefront sensing
1.25
article

Benchtop adaptive-optics testing using a digital-holographic wavefront sensor

Milo W. Hyde, Mark F. Spencer, Matthias T. Banet, Matthew Kalensky, Evan M. Bates, Timothy J. Bukowski
article en
1 citations

Abstract

We use a benchtop atmospheric turbulence simulator (ATS) and adaptive-optics (AO) system to experimentally evaluate AO performance using a Shack–Hartmann wavefront sensor (SHWFS) and digital-holographic wavefront sensor (DHWFS). We show that while the SHWFS yields performance improvement relative to no AO compensation, the SHWFS struggles in strong scintillation conditions. When we control our AO system using the least-squares component of our DHWFS measurements, we notice a substantial improvement in performance relative to the results we obtain with the SHWFS. We also leveraged our DHWFS measurements to implement a post-processing congruence operation (PCO) algorithm referred to as the least-squares principal value (LSPV). We show that the LSPV-based results yield substantial AO performance improvements in strong scintillation conditions compared to only using the least-squares component of our DHWFS measurements. LSPV enables partial compensation of the hidden-phase component—a requirement to achieve better AO performance when scintillation is strong. These findings will be of interest to researchers exploring AO performance in deep turbulence and those who are interested in branch-point-tolerant AO approaches.

Openalex Percentile: Top 17%
Adaptive optics and wavefront sensing
1.25
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Benchtop adaptive-optics testing using a digital-holographic wavefront sensor — Milo W. Hyde, Mark F. Spencer, et al. · (2025) | TGRS Research Map | TGRS