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Workshop Leiden 2005 Performance of wave-front measurement concepts for GLAO M. NICOLLE1, T. FUSCO1, V. MICHAU1, G. ROUSSET1, J.-L. BEUZIT2 - DOTA, Châtillon, France 2LAOG, Grenoble, France 1ONERA Mail: [email protected] Introduction – Analytical criterion – SO & LO Optimization - Conclusion Outline • Problem statement, • An analytical criterion for GLAO performance estimation, • SO and LO performance analysis, Workshop Leiden 2005 • Optimization of SO and LO measurement, • Conclusions and future works. 2 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Ground Layer turbulence measurement : GLAO: wide FOV seeing reducer; D Altitude Needs a uniform correction in FOV: That ’s why we want to measure only the boundary layer, Workshop Leiden 2005 A solution for that is to estimate: fPUP = f1 + f2 + f3 = 3 jsol + j1alt + j2alt +j3alt 0 We only can measure : 3 BUT available phases are: Introduction – Analytical criterion – SO & LO Optimization - Conclusion A triple problem : Star Oriented ? Layer Oriented ? Other ? Wave-front measurement concept (measured phases) Shack-Hartmann ? Workshop Leiden 2005 Number ? Magnitude ? Guides Stars (available phases) Natural ? Artificial ? 4 Wave-front sensing devices Pyramid ? Other ? Introduction – Analytical criterion – SO & LO Optimization - Conclusion Tools for GLAO performance analysis : Two models have been used: Numerical model, for both study of Guides Stars impact and WFMC performance: Simulates uniform, random or Galactic-model based Guide Stars fields; Workshop Leiden 2005 Simulates Star Oriented and Layer Oriented WFMC; Complex turbulence profile; Decomposition of phases onto Zernike polynomials; Simulates photon and detector noises; Modal optimization; Computes long exposure PSF, encircled energy, residual phase variances. Analytical model, for WFMC performance analysis: Based on an analytical criterion Considered variable: phase slopes as measured by Shack-Hartmann WFS 5 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Wave-front measurement Error : Phase to be estimated: Workshop Leiden 2005 Wave-front measurement error: Measured phase: 6 Introduction – Analytical criterion – SO & LO Optimization - Conclusion QC VS usual quality criterions for GLAO : Wave-front measurement error: Conditions of the numerical simulation : Workshop Leiden 2005 Technical FoV : 8 arcmin; Seeing : 0.9 arcsec @ 0.5 µm; Turbulence profile : 60% in pupil plane, 40% in altitude; lWFS : 0.7 µm; Photon noise only GS integrated magnitude in R : 12. GS uniformly spread in FOV; Phases measurement Shack-Hartmann slopes. FOV 8 arcmin wide, 7 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Secondary Quality criterions on phase : Phase to be estimated Independent from WFMC Workshop Leiden 2005 Phase to be measured Measured phase 8 Introduction – Analytical criterion – SO & LO Optimization - Conclusion QCquantize characteristics: Workshop Leiden 2005 1./K 9 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Secondary Quality criterions on phase : Phase to be estimated Independent from WFMC Workshop Leiden 2005 Phase to be measured Measured phase Star Oriented 10 Layer Oriented Introduction – Analytical criterion – SO & LO Optimization - Conclusion Analytical criterion : QCWFMC for Star Oriented: DM Pupil Workshop Leiden 2005 1 WFS / GS We measure: COMMAND Criterion derivation for SO : 11 Photon Noise term Depends on: Flux per GS Detector Noise term: Depends on: • Flux per GS (= flux per WFS) • CCD Read-out noise Introduction – Analytical criterion – SO & LO Optimization - Conclusion Analytical criterion : QCWFMC for Layer Oriented: DM Pupil COMMAND Workshop Leiden 2005 1 WFS 12 Phases weighted by GS flux Turbulence related term Depends on: Photon Noise term Depends on: • Total flux in FOV, • GS flux dispersion , • Covariance of phase perturbations From one direction to another. Total flux in FOV. 1 WFS only Detector Noise term Depends on: •Total flux in FOV, • CCD Read-out noise. Introduction – Analytical criterion – SO & LO Optimization - Conclusion Performance analysis for SO / LO : Conditions of the numerical simulation : Workshop Leiden 2005 Technical FoV : 8 arcmin; Seeing : 0.9 arcsec @ 0.5 µm; Turbulence profile : 60% in pupil plane, 40% in altitude; lWFS : 0.7 µm; 2 s det : 3 e- (when simulated); Galactic coordinates : lat = 30°, lon = 0°; Repartition of GS mag. simulated from Besançon Model; At least 4 GS in Technical FoV; Phases measurement Shack-Hartmann slopes. 4 GS 13 ~30 GS Introduction – Analytical criterion – SO & LO Optimization - Conclusion Star Oriented Optimization: We measure: That we can employ as we want. We can consider : numerical coefficients to be optimized Workshop Leiden 2005 Criterion derivation for OSO : hi optimal only if : Linear Matricial equation to invert. Solution exists. 14 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Performance analysis for SO / LO : Conditions of the numerical simulation : Workshop Leiden 2005 Technical FoV : 8 arcmin; Seeing : 0.9 arcsec @ 0.5 µm; Turbulence profile : 60% in pupil plane, 40% in altitude; lWFS : 0.7 µm; 2 s det : 1 e- (when simulated); Galactic coordinates : lat = 30°, lon = 0°; Repartition of GS mag. simulated from Besançon Model; At least 4 GS in Technical FoV; Phases measurement Shack-Hartmann slopes. 15 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Layer Oriented Optimization: We measure only one integrated phase ! We can optimize it by attenuating optically some GS; We can account for the WFS SNR in the use of this phase measurement; Workshop Leiden 2005 We can consider : numerical coefficient to be optimized 16 Optical attenuations to be optimized Introduction – Analytical criterion – SO & LO Optimization - Conclusion Layer Oriented Optimization: Criterion derivation for OLO : h optimization: Workshop Leiden 2005 li optimization: 17 analytical solution exists. NON linear equation to invert. Multi-variable optimization. Introduction – Analytical criterion – SO & LO Optimization - Analyse performance SO / LO : Workshop Leiden 2005 Galactic coordinates : (30, 0) 8x8 arcmin FoV 4 GS 18 30 GS Conclusion Introduction – Analytical criterion – SO & LO Optimization - Conclusion Conclusions … Study of the influence of GS number and repartition on GLAO performance uniformity Performance analysis for both SO and LO WFMC: Analytical modelization and definition of a quality criterion based on phase measurement error for SO and LO WFMC, SO performance is mainly limited by Detector noise, LO performance is mainly limited by GS flux dispersion; Optimisation of both SO and LO measurements: Workshop Leiden 2005 SO: numerical optimization LO: both numerical and optical optimizations; Identical performance of SO and LO in photon noise, Slight gain for LO in detector noise, Very small dependency of the errors with respect to GS number. 19 Introduction – Analytical criterion – SO & LO Optimization - … And future works : GLAO: Global optimization of Complete Sky coverage study, Scaling to ELT, Workshop Leiden 2005 MCAO: Generalization to Multiple FOV concept, Real data process (MAD results ?) 20 Conclusion Introduction – Analytical criterion – SO & LO Optimization - Conclusion Wave-front measurement Error : Wave-front measurement error: Conditions of the numerical simulation : Workshop Leiden 2005 Technical FoV : 8 arcmin; Seeing : 0.9 arcsec @ 0.5 µm; Turbulence profile : 60% in pupil plane, 40% in altitude; lWFS : 0.7 µm; Photon noise only GS integrated magnitude in R : 12. GS uniformly spread in FOV; Phases measurement Shack-Hartmann slopes. FOV 8 arcmin wide, 37 guide stars 21 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Splitting of QC: QC QCWFMC QCquantize Workshop Leiden 2005 Saturation due to pupil footprints superimposition 22 Introduction – Analytical criterion – SO & LO Optimization - Conclusion Secondary Quality criterions on phase : Phase to be estimated Independent from WFMC Workshop Leiden 2005 Phase to be measured Measured phase 23