Photonics Research, Volume. 12, Issue 2, 301(2024)

Deep optics preconditioner for modulation-free pyramid wavefront sensing

Felipe Guzmán1, Jorge Tapia1, Camilo Weinberger1, Nicolás Hernández1, Jorge Bacca2, Benoit Neichel3, and Esteban Vera1、*
Author Affiliations
  • 1School of Electrical Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
  • 2Department of Systems Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia
  • 3Laboratoire d’Astrophysique de Marseille, Marseille, France
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    References(38)

    [3] J.-F. Le Gargasson, M. Glanc, P. Léna. Retinal imaging with adaptive optics. C. R. Acad. Sci. IV, 2, 1131-1138(2001).

    [7] R. K. Tyson, B. W. Frazier. Principles of Adaptive Optics(2022).

    [9] R. Clare, B. Engler, S. Weddell. Numerical evaluation of pyramid type sensors for extreme adaptive optics for the European extremely large telescope. Adaptive Optics for Extremely Large Telescopes, 5(2017).

    [17] C. Weinberger, F. Guzmán, J. Tapia. Design and training of a deep neural network for estimating the optical gain in pyramid wavefront sensors. Imaging and Applied Optics Congress, JF1B.6(2022).

    [30] V. I. Tatarski. Wave Propagation in a Turbulent Medium(2016).

    [35] C. M. Bishop. Neural Networks for Pattern Recognition(1995).

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    Felipe Guzmán, Jorge Tapia, Camilo Weinberger, Nicolás Hernández, Jorge Bacca, Benoit Neichel, Esteban Vera, "Deep optics preconditioner for modulation-free pyramid wavefront sensing," Photonics Res. 12, 301 (2024)

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    Paper Information

    Category: Imaging Systems, Microscopy, and Displays

    Received: Aug. 1, 2023

    Accepted: Dec. 12, 2023

    Published Online: Feb. 2, 2024

    The Author Email: Esteban Vera (esteban.vera@pucv.cl)

    DOI:10.1364/PRJ.502245

    CSTR:32188.14.PRJ.502245

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