Non-parametric point spread function modelling for adaptive optics systems

Peng Jia; Mingyang Ma; Miao Zhang; Xuebo Wu; Weihua Wang; Yangyang Zhan

doi:10.1117/12.2560119

13 December 2020 Non-parametric point spread function modelling for adaptive optics systems

Peng Jia, Mingyang Ma, Miao Zhang, Xuebo Wu, Weihua Wang, Yangyang Zhan

Proceedings Volume 11448, Adaptive Optics Systems VII; 114484A (2020) https://doi.org/10.1117/12.2560119
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Abstract

The point spread function (PSF) is the impulse response of an optical system. PSFs of an adaptive optics system have very strong variations both in temporal and spatial domain and a stable PSF reconstruction algorithm is required to provide prior information for scientific data processing. In this paper, we report our recent progress in developing a framework for PSF modelling with non-parametric model. The non-parametric PSF model uses compressive wavefront sensing method to build PSFs from wavefront measurements. Then a PSF-NET is used to learn map between PSFs estimated from wavefront sensing and PSFs in different field of views in a ground layer adaptive optics system. We use simulated data to test performance of the non--parametric PSF model and the results show its effectiveness.

Conference Presentation

Citation Download Citation

Peng Jia, Mingyang Ma, Miao Zhang, Xuebo Wu, Weihua Wang, and Yangyang Zhan "Non-parametric point spread function modelling for adaptive optics systems", Proc. SPIE 11448, Adaptive Optics Systems VII, 114484A (13 December 2020); https://doi.org/10.1117/12.2560119

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