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Fast E2E simulation tools and calibration strategies for EAGLE-MOAO on the E-ELT

Fast E2E simulation tools and calibration strategies for EAGLE-MOAO on the E-ELT. Manal Chebbo, Alastair Basden , Richard Myers, Nazim Bharmal , Tim Morris, Thierry Fusco, Jean-Francois Sauvage.

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Fast E2E simulation tools and calibration strategies for EAGLE-MOAO on the E-ELT

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  1. Fast E2E simulation tools and calibration strategies for EAGLE-MOAO on the E-ELT Manal Chebbo, Alastair Basden, Richard Myers, NazimBharmal, Tim Morris, Thierry Fusco, Jean-Francois Sauvage Manal Chebbo AO4ELT3 30 May 2013

  2. DASP VS E2E-SDurham Ao Simulation Platform VS E2E- Sparse (LAM / ONERA) • Conventional MVM dense • Sparse methods utilized. • Atmosphere to Slopes slow but accurate model. • Typically needs to run for several hours to simulate 10 – 100 s of operational time, but with high fidelity… • Sparse methods only. • Atmosphere to Slopes fast but approximated model. • Speed comparable to analytical codes, but capabilities of E2E codes, for ex: Optical tolerance studies… Chebbo et al 2011 AO4ELT2 Basden et al 2007 Manal Chebbo AO4ELT3 30 May 2013

  3. Synopsis • Sparse E2E Simulator • DASP Simulator • Conclusion and Perspective Manal Chebbo AO4ELT3 30 May 2013

  4. Synopsis • Sparse E2E Simulator • DASP Simulator • Conclusion and Perspective Manal Chebbo AO4ELT3 30 May 2013

  5. Sparse E2E Simulator • AO in blocks Configuration system Turbulent generator WFS model Tomographicreconstructor DM model Manal Chebbo AO4ELT3 30 May 2013

  6. Sparse E2E Simulator •  Description of the different modules • Configuration System Manal Chebbo AO4ELT3 30 May 2013

  7. Sparse E2E Simulator •  Description of the different modules • Turbulence generator • Generate layers in the form of pixilated phase screen • Simulation and computation of white noise FT • Inverse FT → real part • d/r0 • Wind speed, direction for the considered layer Manal Chebbo AO4ELT3 30 May 2013

  8. Sparse E2E Simulator • Description of the different modules • Wave Front SensorSparse-Model • RealisticsparseGeometry Model of Shack-Hartman WFS • Illuminated and partlyilluminatedsubapertures are managed • RCO/RCO_d FORMAT : (Representation Complete and Ordered) Ds = {rco} Ds.r = 2* Ns2 Ds.c = N2 Ds.n = 4* nb_pix* Ns2 Ds.ix = ptr_new([0,make_array(D.r, /long)]) Ds.jx = ptr_new(lonarr(D.n + bandwidth)) Ds.xn = ptr_new(make_array(D.n+ bandwidth, /float)) 400 subapertures / 308 are fully or partlyilluminated in the pupil Manal Chebbo AO4ELT3 30 May 2013

  9. Sparse E2E Simulator • Description of the different modules • SparseWave Front Reconstruction • Sparse noise covariance matrix Cn • Noise are not correlated • noise is uniform • → • Turbulence covariance matrix Manal Chebbo AO4ELT3 30 May 2013

  10. Sparse E2E Simulator • Description of the different modules • Deformable Mirror sparse-Model • DM with sparse influence functions • Ifs profile ~ double Gaussian • IF = 0 beyondNacinf • Fs→ RCO→ [ N2 , Nact-valid] 64*64 actuators , Nacinf= 4 Nacinf= 6 • 30% of mechanical coupling for minimizing the fitting error. Manal Chebbo AO4ELT3 30 May 2013

  11. Sparse E2E Simulator • Challenges of AO with Tomography • Tip, Tilt and Defocus Indetermination • Goal: Generate realistic WFS measurement’s with filtered out TTF • We modify the slopes to remove any tip tilt or defocus Manal Chebbo AO4ELT3 30 May 2013 S TTF

  12. Sparse E2E Simulator • Challenges of AO with Tomography • Tip, Tilt and Defocus Indetermination • We search the transformation matrix M to an orthogonal space whichexludes TTF • 2 methods present : • Setting mean slopes to zero. • M contain all the modes generated by the AO system. Manal Chebbo AO4ELT3 30 May 2013

  13. Sparse E2E Simulator • Challenges of AO with Tomography • Tip, Tilt and Defocus Indetermination Subtraction of averageslopes Method-1 • TT is reduced to 7% • Defocus is not filtered Manal Chebbo AO4ELT3 30 May 2013

  14. Challenges of AO with Tomography • Tip, Tilt and Defocus Indetermination • M contains the WFS answer to all the modes generated by the system Method - 2 Karhunen–Loève TTF are filtered out Manal Chebbo AO4ELT3 30 May 2013

  15. Synopsis • Sparse E2E Simulator • DASP Simulator • Conclusion and Perspective Manal Chebbo AO4ELT3 30 May 2013

  16. DASP VS E2E-S • Conventional MVM dense • Sparse methods utilized. • Atmosphere to Slopes slow but accurate model. • No, Simple only TT • Sparse methods only. • Atmosphere to Slopes fast but approximated model • TTF filtered out. Chebbo et al 2011 AO4ELT2 Basden et al 2007 Manal Chebbo AO4ELT3 30 May 2013

  17. DASP • Durham AO Simulation Platform • Python and C • MPI, shared memory, and multi-threaded • Suitable for ELT-scale problems • Cross checked with other codes: Octopus (42 m), YAO (4.2 m), Fourier (ONERA) (42 m)... Manal Chebbo AO4ELT3 30 May 2013

  18. DASP • EAGLE E2E DASP-simulations • Simulation Parameter: • 42 m, central obscuration = 6 m • R0 = 13.5 cm @ 500 nm. • L0= 30 m • SH With 84*84 • LGS closed loop GLAO with M4 and the same with open loop correction on the MOAO DM • 40 s of telescope time (10000 iterations) • No NGS , 6 LGS in a regular hexagon Manal Chebbo AO4ELT3 30 May 2013

  19. DASP • EAGLE E2E DASP-simulations H-band Ensquared energy in 75mas over the field of view. 6 LGS at 7.3arcmin diameter 6 LGS, 7.3 arcminute diameter Strehl Map Manal Chebbo AO4ELT3 30 May 2013

  20. DASP • EAGLE E2E DASP-simulations Actuators required • By making use of global M4 GLAO correction • Can reduce requirements for MOAO DMs • MOAO can be relaxed somewhat without dramatically affecting AO performance. • To ones that can be bought today! Manal Chebbo AO4ELT3 30 May 2013

  21. DASP • EAGLE E2E DASP-simulations Alignment tolerance Rotational tolerance • Steep fall with rotation • 0.2 degrees • ~1/8thsubap at edges • Lateral misalignment reduces performance • Up to 1/8th of a sub-aperture has small effect Manal Chebbo AO4ELT3 30 May 2013

  22. Conclusion: • Current Project is to produce a new validated rapid E2E simulation which combines the speed advantages of analytic codes with the ease performing engineering tolerance analysis, for example: Rotational and misalignment • Future Work: • Cross check the codes • New user interface for E2E-S code • Aim to produce a new form of systems engineering for ELT scale AO problems. Manal Chebbo AO4ELT3 30 May 2013

  23. Thank You Manal Chebbo AO4ELT3 30 May 2013 23

  24. Comparison with other codes Manal Chebbo AO4ELT3 30 May 2013

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