phase retrieval in the focal plane

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

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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 - PowerPoint PPT Presentation

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Page 1: Phase retrieval in the focal plane

Phase retrieval in the Phase retrieval in the focal planefocal plane

Wolfgang Gaessler, Diethard Peter Clemens Storz

MPIA, Heidelberg, Germany

Page 2: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 2

Preface: Parallel sub-window readLong exposure Fast sub-windows

in parallel

tscience

twin

Page 3: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 3

What the MPIA-Readout Electronic can do

o MPIA-ROE3 o 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

o Even with the old HAWAII 2 chips

o Currently, limited by some undersized Flash RAM

Page 4: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 4

sCMOSo [email protected] Development on

back-illuminated

Page 5: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 5

Focal plane AO

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

Methods using one image plane for phase retrieval.Methods using one image plane for phase retrieval.

Page 6: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 6

Questions

o Could it increase sensitivity?o What’s already done?o Is the computation power the limit?o How could an implementation look

like?

Page 7: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 7

Increased Sensitivity?

o Number of Photons ~ D2

o Number of Sub-Apertures ~ D2

o No gain for AO with larger diameter

o Doesn’t this change in focal plane? o Yes, but needs proper sampling.

Pixseeing/Pixdiff ~ D2

Solution: Dynamic binning

Page 8: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 8

Dynamic binning

SNRbin,soft ~ D SNRbin,hard ~ D2

Page 9: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 9

Solving I = |Uf|2

o Image sharpening algorithmo Intensity metrics maximizing

oMuller et. al. 1974 theoryoBuffington et. al. 1977

implementation in telescopeoRecently: Murray et. al. 2007, Both

et. al. 2005

o Iterative Fourier TransformoGerchberg Saxton

Page 10: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 10

Image sharpening metrics

o 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

Page 11: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 11

Image sharpening algorithms

o Change shape of DM to minimize

o ADN -> N+1 iterations (Murray et. al.2007)o AD = actuator dynamic ~ >255, N = # actuator ~

>1000

o Time consuming for high order correction

DM

Page 12: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 12

Gerchberg Saxon– Approximate amplitude constant in pupil – Inverse Fourier transform– Compare to PSF

– Fourier transform

Page 13: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 13

Implementation by Bucci et. al. 1997

o Penalty algorithmo Representation in Zernikeo Minimizes the Intensity with a

gradient operatoro Stable and usual trapping problem

less relevant

o O(Nmode ln(Nmode) x Npix)

o Converge after some 100 iterationso For low order sensing feasable

Page 14: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 14

Low order sensorNon common path error tracker

o Low order sensor (TT, focus, etc.)

o Time varying flexure and distortion

o Slow offload of non common path

WFC

WFS

DM

Telescope

Guide Star

WFC

WFS

DM

Telescope

Guide Star

Science Focal Plane

Page 15: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 15

Conclusiono Phase retrieval in the focal plane is a

long known problem worked on with several solutions:– Image sharpening– Iterative Inverse Fourier transformation

o All are quite time consuming in computation

o Dynamic binning could gain some sensitivity and computation power

o Low order sensoro But also high order, shown by O. Guyon

Page 16: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 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?

Page 17: Phase retrieval in the focal plane

June 22-26, 2009 AO4ELT: ‘Phase retrieval in the focal plane’ 17