Off-axis PSF reconstruction for SCAO and MCAO systems

Wagner, Roland; Hubmer, Simon; Niebsch, Jenny; Ramlau, Ronny; Stadler, Bernadett

doi:10.1117/12.2629294

Cited by 1 publication

(3 citation statements)

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“…Assessing the predictions of the trained models will follow methods used by the state-of-the-art in long-exposure PSF reconstruction 1 , 3 . Our network infers a short-exposure wavefront image that is converted to a short-exposure PSF as per Eq.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…To deliver the most science from an astronomical observation, it is crucial that astronomers have access to an accurate estimate of the effective PSF during that observation window. State-of-the-art workflows 1 employ model-based techniques to estimate the residual phase and the corresponding PSF, enabling the quality of captured science images to be improved, e.g., by deconvolution.…”

Section: Introductionmentioning

confidence: 99%

“…Model-based methods for wavefront and PSF estimation produce highly accurate estimates using fitting, reconstruction, and simulation methods 1 . The current state-of-the-art uses a comprehensive breakdown of error sources 3 and allows for frame-by-frame validation of end-to-end models using AO loop simulation tools such as COMPASS 4 .…”

Section: Introductionmentioning

confidence: 99%

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Image-to-image translation for wavefront and point spread function estimation

Smith

Cranney

Gretton

et al. 2023

J. Astron. Telesc. Instrum. Syst.

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We develop and evaluate a new approach to phase estimation for observational astronomy that can be used for accurate point spread function reconstruction. Phase estimation is required where a terrestrial observatory uses an adaptive optics (AO) system to assist astronomers in acquiring sharp, high-contrast images of faint and distant objects. Our approach is to train a conditional adversarial artificial neural network architecture to predict phase using the wavefront sensor data from a closed-loop AO system. We present a detailed simulation study under different turbulent conditions, using the retrieved residual phase to obtain the point spread function of the simulated instrument. Compared to the state-of-the-art model-based approach in astronomy, our approach is not explicitly limited by modeling assumptions, e.g., independence between terms, such as bandwidth and anisoplanatism-and is conceptually simple and flexible.We use the open-source COMPASS tool for end-to-end simulations. On key quality metrics, specifically the Strehl ratio and Halo distribution in our application domain, our approach achieves results better than the model-based baseline.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%