• Acta Optica Sinica
  • Vol. 40, Issue 7, 0712002 (2020)
Xunyi Dai1、2, Yi Tan1、2、*, Ge Ren1、2, and Zongliang Xie1、2
Author Affiliations
  • 1Key Laboratory of Beam Control, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS202040.0712002 Cite this Article Set citation alerts
    Xunyi Dai, Yi Tan, Ge Ren, Zongliang Xie. Analysis of Image Quality Detection Performance of Scanning Hartmann Technology[J]. Acta Optica Sinica, 2020, 40(7): 0712002 Copy Citation Text show less
    Principle of Shack-Hartmann sensor[4]. (a) Spots of flat wavefront; (b) spots of wavefront with aberration
    Fig. 1. Principle of Shack-Hartmann sensor[4]. (a) Spots of flat wavefront; (b) spots of wavefront with aberration
    Diagram of testing process of single sub-aperture
    Fig. 2. Diagram of testing process of single sub-aperture
    Mirror area covered by sub-apertures
    Fig. 3. Mirror area covered by sub-apertures
    Structure of Cassegrain system
    Fig. 4. Structure of Cassegrain system
    Initial aberration of the system
    Fig. 5. Initial aberration of the system
    Variation of RMS relative error with the order of aberration
    Fig. 6. Variation of RMS relative error with the order of aberration
    Recovery effect comparison of different order aberrations. (a) Recovery wavefront of the 8th-order aberration; (b) reference wavefront of the 8th-order aberration; (c) recovery wavefront of the 29th-order aberration; (d) reference wavefront of the 29th-order aberration
    Fig. 7. Recovery effect comparison of different order aberrations. (a) Recovery wavefront of the 8th-order aberration; (b) reference wavefront of the 8th-order aberration; (c) recovery wavefront of the 29th-order aberration; (d) reference wavefront of the 29th-order aberration
    Detection effect of low-order aberrations. (a) Reference aberration; (b) recovery aberration
    Fig. 8. Detection effect of low-order aberrations. (a) Reference aberration; (b) recovery aberration
    Detection results while adding high-order aberrations. (a) Recovery wavefront; (b) reference wavefront; (c) low-order residual; (d) high-order residual
    Fig. 9. Detection results while adding high-order aberrations. (a) Recovery wavefront; (b) reference wavefront; (c) low-order residual; (d) high-order residual
    Three distribution types of sub-aperture. (a) Sparse sub-aperture distribution; (b) tangent sub-aperture distribution; (c) intensive sub-aperture distribution
    Fig. 10. Three distribution types of sub-aperture. (a) Sparse sub-aperture distribution; (b) tangent sub-aperture distribution; (c) intensive sub-aperture distribution
    Recovery effect comparison of different sub-aperture distribution types. (a) Reference aberration introduced by the Zernike surface type; (b) recovery wavefront of sparse sub-aperture distribution; (c) recovery wavefront of tangent sub-aperture distribution; (d) recovery wavefront of intensive sub-aperture distribution
    Fig. 11. Recovery effect comparison of different sub-aperture distribution types. (a) Reference aberration introduced by the Zernike surface type; (b) recovery wavefront of sparse sub-aperture distribution; (c) recovery wavefront of tangent sub-aperture distribution; (d) recovery wavefront of intensive sub-aperture distribution
    Detection error curves under different sub-aperture numbers. (a) RMS relative error; (b) PV relative error
    Fig. 12. Detection error curves under different sub-aperture numbers. (a) RMS relative error; (b) PV relative error
    Fitting curve of detection error with the number of sub-apertures
    Fig. 13. Fitting curve of detection error with the number of sub-apertures
    Xunyi Dai, Yi Tan, Ge Ren, Zongliang Xie. Analysis of Image Quality Detection Performance of Scanning Hartmann Technology[J]. Acta Optica Sinica, 2020, 40(7): 0712002
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