1 / 17

Phase retrieval in the focal plane

Phase retrieval in the focal plane. Wolfgang Gaessler, Diethard Peter Clemens Storz MPIA, Heidelberg, Germany. Preface: Parallel sub-window read. Long exposure. Fast sub-windows in parallel. t win. t science. What the MPIA-Readout Electronic can do. MPIA-ROE3

marcin
Download Presentation

Phase retrieval in the focal plane

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Phase retrieval in the focal plane Wolfgang Gaessler, Diethard Peter Clemens Storz MPIA, Heidelberg, Germany

  2. Preface: Parallel sub-window read Long exposure Fast sub-windows in parallel twin tscience AO4ELT: ‘Phase retrieval in the focal plane’ 2

  3. What the MPIA-Readout Electronic can do • MPIA-ROE3 • 1 (3) Sub-windows at science RON (5e-) • 25x25 Pixel • 135 Hz (50 Hz) • Up to 600Hz for one sub-window with 3 times science RON • Even with the old HAWAII 2 chips • Currently, limited by some undersized Flash RAM AO4ELT: ‘Phase retrieval in the focal plane’ 3

  4. sCMOS • info@pco.de • Development on back-illuminated AO4ELT: ‘Phase retrieval in the focal plane’ 4

  5. Focal plane AO Methods using one image plane for phase retrieval. I = |Uf|2 • No unique solution • Non linear • Computation intensive • Simple setup • No additional parts • As close as possible to the science image Bucci, et al. 1997 AO4ELT: ‘Phase retrieval in the focal plane’ 5

  6. Questions • Could it increase sensitivity? • What’s already done? • Is the computation power the limit? • How could an implementation look like? AO4ELT: ‘Phase retrieval in the focal plane’ 6

  7. Increased Sensitivity? • Number of Photons ~ D2 • Number of Sub-Apertures ~ D2 • No gain for AO with larger diameter • Doesn’t this change in focal plane? • Yes, but needs proper sampling. Pixseeing/Pixdiff ~ D2 Solution: Dynamic binning AO4ELT: ‘Phase retrieval in the focal plane’ 7

  8. Dynamic binning SNRbin,soft ~ D SNRbin,hard ~ D2 AO4ELT: ‘Phase retrieval in the focal plane’ 8

  9. Solving I = |Uf|2 • Image sharpening algorithm • Intensity metrics maximizing • Muller et. al. 1974 theory • Buffington et. al. 1977 implementation in telescope • Recently: Murray et. al. 2007, Both et. al. 2005 • Iterative Fourier Transform • Gerchberg Saxton AO4ELT: ‘Phase retrieval in the focal plane’ 9

  10. Image sharpening metrics • Optimization metrics • S=∫In(x,y)dxdy n=2,3,4 maximize • S =∫ln(I(x,y))dxdy maximize • Lukosz-Zernike metric minimize • ρ = spot radius • NA = aperture • λ = wavelength • b = Lukosz-Zernike coefficient AO4ELT: ‘Phase retrieval in the focal plane’ 10

  11. DM Image sharpening algorithms • Change shape of DM to minimize • ADN -> N+1 iterations (Murray et. al.2007) • AD = actuator dynamic ~ >255, N = # actuator ~ >1000 • Time consuming for high order correction AO4ELT: ‘Phase retrieval in the focal plane’ 11

  12. Gerchberg Saxon • Approximate amplitude constant in pupil • Inverse Fourier transform • Compare to PSF • Fourier transform AO4ELT: ‘Phase retrieval in the focal plane’ 12

  13. Implementation by Bucci et. al. 1997 • Penalty algorithm • Representation in Zernike • Minimizes the Intensity with a gradient operator • Stable and usual trapping problem less relevant • O(Nmode ln(Nmode) x Npix) • Converge after some 100 iterations • For low order sensing feasable AO4ELT: ‘Phase retrieval in the focal plane’ 13

  14. Low order sensorNon common path error tracker Guide Star Guide Star • Low order sensor (TT, focus, etc.) • Time varying flexure and distortion • Slow offload of non common path Telescope Telescope DM DM Science Focal Plane WFC WFC WFS WFS AO4ELT: ‘Phase retrieval in the focal plane’ 14

  15. Conclusion • Phase retrieval in the focal plane is a long known problem worked on with several solutions: • Image sharpening • Iterative Inverse Fourier transformation • All are quite time consuming in computation • Dynamic binning could gain some sensitivity and computation power • Low order sensor • But also high order, shown by O. Guyon AO4ELT: ‘Phase retrieval in the focal plane’ 15

  16. What else…spectroscopy • Slit viewer image (put all light into the slit) • Phase retrieval on the PSF of spectral lines • Does this problem even compare to a diffraction grating sensor? AO4ELT: ‘Phase retrieval in the focal plane’ 16

  17. AO4ELT: ‘Phase retrieval in the focal plane’ 17

More Related