• Acta Optica Sinica
  • Vol. 43, Issue 4, 0428001 (2023)
Zhongqi Wang1、2、3、affaffaff and Yanting Lu1、2、aff*
Author Affiliations
  • 1Nanjing Institute of Astronomical Optics & Technology, National Astronomical Observatories, Chinese Academy of Sciences, Nanjing 210042, Jiangsu, China
  • 2Key Laboratory of Astronomical Optics & Technology (Nanjing Institute of Astronomical Optics & Technology), Chinese Academy of Sciences, Nanjing 210042, Jiangsu, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS221418 Cite this Article Set citation alerts
    Zhongqi Wang, Yanting Lu. Non-Modulation Pyramid Wavefront Sensor Based on Phase Retrieval[J]. Acta Optica Sinica, 2023, 43(4): 0428001 Copy Citation Text show less
    Schematic of structure of Py-GS
    Fig. 1. Schematic of structure of Py-GS
    Flow chart of Py-GS algorithm
    Fig. 2. Flow chart of Py-GS algorithm
    Simulation images of intensity distribution of Py-GS detector. (a) No wavefront aberration; (b) defocus aberration
    Fig. 3. Simulation images of intensity distribution of Py-GS detector. (a) No wavefront aberration; (b) defocus aberration
    Reconstruction results of random combination aberration. (a) Input phase; (b) reconstructed phase; (c) phase residual; (d) curve of evaluation function
    Fig. 4. Reconstruction results of random combination aberration. (a) Input phase; (b) reconstructed phase; (c) phase residual; (d) curve of evaluation function
    Reconstruction results of random phase of atmosphere turbulence. (a) Input phase; (b) reconstructed phase; (c) phase residual; (d) curve of evaluation function
    Fig. 5. Reconstruction results of random phase of atmosphere turbulence. (a) Input phase; (b) reconstructed phase; (c) phase residual; (d) curve of evaluation function
    Reconstruction results of phase of freeform surface. (a) Input phase; (b) reconstructed phase; (c) phase residual; (d) curve of evaluation function
    Fig. 6. Reconstruction results of phase of freeform surface. (a) Input phase; (b) reconstructed phase; (c) phase residual; (d) curve of evaluation function
    Curves of evaluation function of two algorithms for measured wavefronts with different amplitudes. (a) Py-GS algorithm; (b) Con-GS algorithm
    Fig. 7. Curves of evaluation function of two algorithms for measured wavefronts with different amplitudes. (a) Py-GS algorithm; (b) Con-GS algorithm
    Spots at pyramid tip and intensity distributions of detector under different tilt angles. (a)-(c) Spots at pyramid tip under different tilt angles; (d)-(f) intensity distributions on detector under different tilt angles
    Fig. 8. Spots at pyramid tip and intensity distributions of detector under different tilt angles. (a)-(c) Spots at pyramid tip under different tilt angles; (d)-(f) intensity distributions on detector under different tilt angles
    Results of conventional pyramid wavefront reconstruction algorithm for different composite phases to be measured. (a)-(c) Phases to be measured; (d)-(f) intensity distributions of detector; (g)-(i) slopes of horizontal wavefront; (j)-(l) cross sections of slopes of horizontal wavefront
    Fig. 9. Results of conventional pyramid wavefront reconstruction algorithm for different composite phases to be measured. (a)-(c) Phases to be measured; (d)-(f) intensity distributions of detector; (g)-(i) slopes of horizontal wavefront; (j)-(l) cross sections of slopes of horizontal wavefront
    Reconstruction results of wavefront obtained by Py-GS under different SNR conditions. (a)-(c) Intensity distributions on detector; (d)-(f) reconstructed wavefronts; (g)-(i) residuals
    Fig. 10. Reconstruction results of wavefront obtained by Py-GS under different SNR conditions. (a)-(c) Intensity distributions on detector; (d)-(f) reconstructed wavefronts; (g)-(i) residuals
    Influence of central platform on reconstruction results. (a) RMS of reconstructed residual under different size of central platform; (b) PV of reconstructed residual under different size of central platform
    Fig. 11. Influence of central platform on reconstruction results. (a) RMS of reconstructed residual under different size of central platform; (b) PV of reconstructed residual under different size of central platform
    Tilt of wavefront to be measuredDefocus of wavefront to be measuredRMS of reconstructed residualPV of residual
    01.51λ1.23×10-4λ0.002λ
    1.5λ1.51λ2.23×10-4λ0.004λ
    3.0λ1.51λ5.88×10-4λ0.030λ
    Table 1. Reconstruction results of composite wavefronts to be measured in Fig. 9 obtained by Py-GS
    SNR /dBRMS /λ
    53.39×10-2
    101.75×10-2
    205.29×10-3
    Table 2. RMS of reconstructed residual of Py-GS under different SNR conditions
    Zhongqi Wang, Yanting Lu. Non-Modulation Pyramid Wavefront Sensor Based on Phase Retrieval[J]. Acta Optica Sinica, 2023, 43(4): 0428001
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