Title: Scaling%20Multi-Conjugate%20Adaptive%20Optics%20Performance%20Estimates%20to%20Extremely%20Large%20Telescopes
1Scaling Multi-Conjugate Adaptive Optics
Performance Estimates to Extremely Large
Telescopes
- Brent Ellerbroek and Francois Rigaut
- Gemini Observatory
2Presentation 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
3MCAO 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
4Sample 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
5Modeling 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
6Simplified 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
7Problem 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
8Analysis 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
9FOV/Aperture Scaling for Kolmogorov Turbulence
Scaling
10Cases 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
11Guide 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
12Aperture 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
13Sample 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
14Observations 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)
16Observations 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?
17Summary 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