Title: GLAO simulations at ESO
1- GLAO simulations at ESO
- M. Le Louarn, Ch. Verinaud,
- V. Korkiakoski, N. Hubin
- European Southern Observatory
2Summary of GLAO simulations _at_ESO
- Hawk-I (GRAAL)
- Large field (8)
- Near IR (1-2.5 µm)
- Improved seeing, improved energy in pixel
- 4 Na-LGS
- MUSE (GALACSI)
- Moderate field (1 -gt 10)
- EE x 2 in 0.2 pixel or Diffraction limited
(NFM) - Visible (450 to 930 nm)
- 4 Na-LGS
- OWL GLAO/MOAO
- 3-6 NGSs
- Up to 6 FOV or IFU
- GLAO as such (WF imaging ?) or first stage of MOAO
3Atmosphere - HawkI
GL
r00.11 m at 0.5µm ?0 3.25 ms ?01.7 L0 25m
4PSF estimation stars
8
5AO parameters
Muse NFM
Hawaii 2 RG (?)
6EE in 0.1 pixel
K Band
Y Band
750 EE diameter
K Band
Y Band
8FWHM (Gaussian fit)
K Band
Y Band
9Number of TT stars
Peaks _at_ LGS locations
1 TT star
4 TT star
Peaks _at_ TT stars
Different LGS config as previous slides
10Sub-aperture number (K band)
11Single Rayleigh LGS
On Axis
R1.4
R4
124 Rayleigh LGS
Diamonds seeing, stars multi RLGS, crosses
Multi-Na LGS
134 R LGS
- R-LGSs for GLAO as good as Na (or better)
- Decrease height to increase homogeneity
- Focusing problems ? (H a few km) ?
- Spot elongation reduced (enough ?) by narrow
gating - Power req should be investigated
- Synchronization with WFSs must be dealt with
- Cheap
- No synergy with other LGS efforts _at_ ESO
- New designs required (launch telescopes ? Beam
transfer ?)
14Hawk-I GLAO conclusions
- Conventional GLAO
- Gain in FWHM, telescope time (EE)
- Cn2 is a big unknown
- TT sensing scheme is still under study
- Hawaii 2 RG on-chip TT sensing seems promising.
- Use of narrow band filters might make things
complicated - Pick-off arms for TT are ugly !
15Muse wide field performance
Muse WFM On-axis and 0.5 Off-axis
1.1 seeing
16MUSE Narrow Field Mode
?Strehl Ratio _at_ 650nm on-axis 15
Median (0.65'') seeing Conditions Without error
budget!
17Muse Narrow field mode
No Error budget
100 nm WFE
150 nm WFE
See Hubin al. For more on MUSE
18Muse GLAO conclusions
- Muse explores a slightly different parameter
space than conventional GLAO - Visible light, high Strehl mode is challenging
- First attempt at Cone effect correction
- Drives ASM requirements laser power req
- Calibration issues on ASM
19Simulations for ELTs
- Averaging control algorithm
- Average WFS measurements from N (3-6) stars
- Use much smaller control matrix
- Faster, less memory (good for simulations !)
- But not especially clever algorithm
- GLAO highly parallelizable for simulations
- Atmospheric propagations independent
- Each WFS runs separately
- On small (single star) matrix-vector
multiplication - Drawback usually want stability in the field ?
many PSFs to compute ? many (large) FFTs (but
can be //-ized) - Also used Cibola (Analytic, B. Ellerbroek) for
rapid perf. estimation
20OWL-GLAO
- Goal
- Improved seeing over 6 FOV
- K-Band
- Ground layer correction scheme
- Keep the same DM as in SCAO, (90x90 / 83x83)
- Use 3-6 Shack-Hartmann WFSs
- SH for GLAO Linearity, no RON
- NGSs only for this study
- Located at the edges of 6 FOV
- Performance estimation at FOV center
21OWL-GL Radial averaged profiles
10m
30m
60m
100m
L0 effect like for seeing (R. Conan 03)
22OWL GLAO (90x90), 0.5 seeing
6 NGS
3 NGS
10 ph /s /integ time
23OWL GLAO (90x90), 50 mas, 0.8
Constellation edge
10 ph /s /integ time
24GLAO vs seeing (100m) 3 NGS
K
H
J
1.9' (radius), mag 16, transmission 20, 200 Hz,
r00.15, 1m sub-apertures.
Cibola
25MOAO (Falcon like) 3 NGS
K
H
J
1.9' (radius), mag 16, transmission 20, 200 Hz,
r00.15, 1m sub-apertures.
Cibola
26GLAO vs. MOAO
1.9' (radius), mag 16, transmission 20, 200 Hz,
r00.15, 1m sub-apertures.
27OWL GLAO conclusions
- Woofer for MOAO seems mandatory (stroke issues of
MEMs) - MOAO provides better performance in small FOV
- Homogeneity of MOAO (in different IFUs must be
studied) - In GLAO, better PSF uniformity than on 8m
- Beam overlap gets better
- Performance not necessarily much better
- GLAO might constraints site for ELT
28Conclusions
- Cn2 properties largely unknown (!)
- Statistics
- Beginning vs. middle of night vs. end of night
- Variations within one night
- Seasonal variations
- Correlations
- Good seeing vs. bad seeing
- With wind direction (especially in Paranal)
- With other meteo Parameters
- SLODAR MASS DIMM running _at_ Paranal
- Balloon data unreliable for Paranal (site has
changed significantly since campaign) - NGS case effect of in-equal NGS brightness
- ? Optim modal gains being implemented for GLAO
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30Muse Requirements
- Muse Multi-Unit Spectroscopic Explorer
- 24 4kx4k integral field spectrographs
- Very deep field spectroscopy
- 2 Modes
- Wide Field Mode (WFM)
- 1x1 FOV
- from 450 nm to 930 nm
- 2 x EE of seeing in 0.2 pixel
- 1.1 seeing (80h integration times)
- Narrow Field Mode (NFM)
- 10x10 FOV
- Diffraction limited (Sr(650nm)10)
- 25 mas pixels (?).
- 0.65 seeing
- Absolutely no scattered light in science field
(WFM) - High sky coverage (towards poles)
31Muse The AO
- 4 x High order (32x32) SH WFSs
- 4 Sodium LGSs
- high sky coverage (60 at galactic poles, WFM)
- 2.5 5.0 106 ph/s/m2
- Single high order DM conjugated to ground
- Ground-Layer AO (Rigaut 2002)
- 2 designs with or without Adaptive secondary
- Visible (WFM) or IR (NFM) TT sensor
- Search field 3 (diam, WFM), 10 (diam, NFM)
- Repositionning of the LGSs to switch from WFM to
NFM (cone effect correction).
32TT correction only ? K-band