Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1212004(2025)

High-Precision Phase Retrieval for Shack-Hartmann Wavefront Sensors Using Modal Reconstruction and an Improved Adaptive Stochastic Parallel Gradient Descent Algorithm

Feikuai Fang1,2,3, Changwei Li2,3,4、*, and Min Lai1
Author Affiliations
  • 1School of Physics and Optoelectronic Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China
  • 2Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences, Nanjing 210042, Jiangsu , China
  • 3Key Laboratory of Astronomical Optics & Technology, Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences, Nanjing 210042, Jiangsu , China
  • 4School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China
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    References(23)

    [9] Wang A Y, Pan A, Ma C W et al. Phase retrieval algorithms: principles, developments and applications (invited)[J]. Infrared and Laser Engineering, 51, 20220402(2022).

    [14] Tyson R K[M]. Principles of adaptive optics, 177-179(2014).

    [17] Liu L Y, Jiang H M, He C P. On the variance of the adaptive learning rate and beyond[C](2020).

    [21] Liu W J, Yuan X H, Zhou Z Y et al. Application of hybrid modal algorithm in wavefront sensorless adaptive optics[J]. Opto-Electronic Engineering, 49, 220020(2022).

    [22] Goodman J W[M]. Introduction to Fourier optics, 61-64(2020).

    [23] Gonzalez R C, Woods R E[M]. Digital image processing, 383-389(2020).

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    Feikuai Fang, Changwei Li, Min Lai. High-Precision Phase Retrieval for Shack-Hartmann Wavefront Sensors Using Modal Reconstruction and an Improved Adaptive Stochastic Parallel Gradient Descent Algorithm[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1212004

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Dec. 11, 2024

    Accepted: Jan. 2, 2025

    Published Online: Jun. 25, 2025

    The Author Email: Changwei Li (cwli@niaot.ac.cn)

    DOI:10.3788/LOP242411

    CSTR:32186.14.LOP242411

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