Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes

Roland Wagner; Christoph Hofer; Ronny Ramlau

doi:10.1117/1.JATIS.4.4.049003

27 September 2018 Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes

Roland Wagner, Christoph Hofer, Ronny Ramlau

Author Affiliations +

Funded by: Austrian Ministry of Research

Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 4, Issue 4, 049003 (September 2018). https://doi.org/10.1117/1.JATIS.4.4.049003

Abstract

Modern ground-based telescopes like the planned extremely large telescope (ELT) depend heavily on adaptive optics (AO) systems to correct for atmospheric turbulence. Even though AO correction is used, the quality of astronomical images still is degraded due to the time delay stemming from the wavefront sensor integration time and temporal response of the deformable mirror(s) (DM). This results in a blur, which can be mathematically described by a convolution of the true image with the point spread function (PSF). We present an algorithm for single-conjugate adaptive optics PSF reconstruction adapted to the needs of ELTs in a storage efficient way. In particular, the classical PSF reconstruction algorithm is changed in several points to give a more accurate estimate for the post-AO PSF. Bilinear splines are used as basis functions to minimize the computational effort. Results obtained in an end-to-end simulation tool show qualitatively good reconstruction of the PSF compared with the PSF calculated directly from the simulated incoming wavefront. Furthermore, the used algorithm has a reasonable runtime and memory consumption.

Citation Download Citation

Roland Wagner, Christoph Hofer, and Ronny Ramlau "Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes," Journal of Astronomical Telescopes, Instruments, and Systems 4(4), 049003 (27 September 2018). https://doi.org/10.1117/1.JATIS.4.4.049003

Received: 18 April 2018; Accepted: 5 September 2018; Published: 27 September 2018

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