Scaling%20Multi-Conjugate%20Adaptive%20Optics%20Performance%20Estimates%20to%20Extremely%20Large%20Telescopes PowerPoint PPT Presentation

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Title: Scaling%20Multi-Conjugate%20Adaptive%20Optics%20Performance%20Estimates%20to%20Extremely%20Large%20Telescopes


1
Scaling Multi-Conjugate Adaptive Optics
Performance Estimates to Extremely Large
Telescopes
  • Brent Ellerbroek and Francois Rigaut
  • Gemini Observatory

2
Presentation Outline
  • MCAO modeling for 8-meter class telescopes
  • Extension to ELTs
  • Computational limitations
  • Restricting attention to anisoplanatism
  • Mathematical formulation
  • Cases considered
  • Sample results
  • Normalized
  • Numerical
  • Summary and plans

3
MCAO modeling for 8-meter class telescopes
  • Comprehensive analysis/simulation models
    available
  • Integrated first-order treatment of
  • Anisoplanatic effects (FOV DM conjugates
    LGS/NGS constellation)
  • DM/WFS fitting error
  • WFS noise
  • Time delay and servo control law
  • Reconstruction algorithm
  • Windshake and non-common path aberrations
  • Results in hours to several days with a
    workstation

4
Sample Gemini MCAO Results
  • Strehl vs LGS signal level, wavelength, and field
    offset
  • 5 LGS, 162 subapertures
  • 4 NGS, 22 subapertures
  • 3 DMs
  • 0, 4.5, 9.0 km conjugates
  • 17 actuators across pupil
  • Median CP seeing

5
Modeling Limitations for ELTs
  • Assuming
  • Fixed DM conjugates and guide star constellation
  • Fixed subaperture dimensions and actuator pitch
  • Memory requirements scale as D4
  • Factors of 256/4096/20736 for D32/64/96 m
  • Computation requirements scale as D6
  • Factors of 4096/262144/2985984
  • Simpler, less comprehensive approaches necessary
    for initial trade studies

6
Simplified Modeling Approach
  • Evaluate anisoplanatic effects only
  • Fundamental error source determining performace
    vs field-of-view, DM conjugates, and NGS/LGS
    guide star constellation
  • Area of greatest uncertainty
  • Other error terms can be approximated with
    simplified scaling laws
  • Computation requirements greatly reduced

7
Problem Formulation
  • Aperture- and FOV-averaged mean-square phase
    error
  • s2 N-1T(x-HEy)2
  • Where
  • x phase profile(s) to be corrected
  • Ndim(x)
  • T piston removal operator
  • y WFS measurement vector
  • H DM-to-phase influence matrix
  • E DM command estimation matrix

8
Analysis Summary
  • Goal Determine
  • s2 minE lt s2 gt
  • E arg minE lt s2 gt
  • ltgt denotes averaging over turbulence statistics
  • Solution
  • s2 N-1 traceTA-C -1 (HTTB)T(HTTH)-1(HTTB)
  • E (HTTH)-1HTTBC-1
  • Where
  • A ltxxTgt
  • B ltxyTgt
  • C ltyyTgt

9
FOV/Aperture Scaling for Kolmogorov Turbulence
Scaling
10
Cases Considered
  • Turbulence profiles
  • Median Cerro Pachon (r0 0.166m, q0 2.74)
  • Median Mauna Kea (r0 0.236m, q0 2.29)
  • Deformable mirrors
  • 3 conjugate to 0, 4, 8 km
  • 4 conjugate to 0, 2.67, 5.33, 8 km
  • Guide stars and WFS
  • 5 or 9 NGS
  • 5 or 9 LGS
  • 1 or 4 auxilliary low-order NGS

11
Guide Star and FOV Geometries
Evaluation points in field-of-view
5 higher-order guide stars (NGS or LGS)
9 higher-order guide stars (NGS or LGS)
Auxilliary tip/tilt or low-order NGS with LGS
12
Aperture Sampling
q
  • Minimum points across pupil set by
  • h1q/D 1/n
  • To avoid interpolation and under sampling of
    turbulence
  • n must scale with D to study performance vs
    aperture diameter
  • Computations reasonable for n 20

h2
h1
h00
D,n
13
Sample Normalized Results
  • CP turbulence
  • 3 DMs
  • 5 higher-order guide stars
  • Solid LGS, with different auxilliary NGS
    options
  • Dashed NGS, with different rqb/qf values

14
Observations on Normalized Results
  • Normalized phase variance (s2/(D/r0)5/3)
    decreases with decreasing normalized beam shear
    (h2qf/D)
  • For decreasing qf, the phase variance decreases
    proportionately
  • For increasing D, the reduction is countered by
    the increase in (D/r0)5/3
  • NGS MCAO performance degrades rapidly with
    increasing r qb/qf
  • LGS MCAO requires multiple tip/tilt or low order
    NGS
  • Best NGS and LGS results proportional over a wide
    range of normalized beam shears (h2q/D)

15
Sample Numerical Results(CP Turbulence, 3 DMs)
16
Observations on Numerical Results
  • Would prefer better sampling of science field
  • LGS MCAO with 4 auxilliary NGS
  • Performance varies slowly with D for fixed qf
  • s about 0.12 mm for qf1, 5 m lt D lt 12.5 m
  • s about 0.17 mm for qf1.5, 7.5 m lt D lt 18.75 m
  • Tempting to scale curves to larger apertures
  • NGS MCAO
  • Modestly superior to LGS MCAO when rqb/qf1
  • Performance degrades rapidly with increasing r
  • What values of r are consistent with guide star
    models?

17
Summary and Plans
  • Summary
  • Anisoplanatic errors evaluated analytically for
    MCAO on ELTs
  • LGS results favorable with 3-4 auxilliary NGS
  • NGS results favorable for guide stars within
    science field
  • Plans
  • Limited optimization of DM/guide star geometries
  • Accelerate computations for larger apertures by
    exploiting matrix structures
  • DM-to-phase influence matrix sparse
  • Turbulence statistics shift-invariant
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