Online estimation of atmospheric turbulence parameters and outer-scale profiling

Estimating the outer scale profile, L0(h) in the context of current very large and future extremely large telescopes is crucial, as it impacts the on-line estimation of turbulence parameters (Cn2(h), r0, θ0 and τ0) and the performance of Wide Field Adaptive Optics (WFAO) systems. We describe an on-line technique that estimates L0(h) using AO loop data available at the facility instruments. It constructs the cross-correlation functions of the slopes of two or more wavefront sensors, which are fitted to linear combinations of theoretical responses for individual layers with different altitudes and outer scale values. We analyze some restrictions found in the estimation process, which are general to any measurement technique. The insensitivity of the instrument to large values of outer scale is one of them, as the telescope becomes blind to outer scales larger than its diameter. Another problem is the contradiction between the length of data and the stationarity assumption of the turbulence (turbulence parameters may change during the data acquisition time). Our method effectively deals with problems such as noise estimation, asymmetric correlation functions and wavefront propagation effects. It is shown that the latter cannot be neglected in high resolution AO systems or strong turbulence at high altitudes. The method is applied to the Gemini South MCAO system (GeMS) that comprises five wavefront sensors and two DMs. Statistical values of L0(h) at Cerro Pachón from data acquired with GeMS during three years are shown, where some interesting resemblance to other independent results in the literature are shown.

[1]  Andrei Tokovinin,et al.  From Differential Image Motion to Seeing , 2002 .

[2]  Richard W. Wilson,et al.  Determination of the profile of atmospheric optical turbulence strength from SLODAR data , 2006 .

[3]  Carlos Correia,et al.  Object-oriented Matlab adaptive optics toolbox , 2014, Astronomical Telescopes and Instrumentation.

[4]  V. Kornilov,et al.  Accurate seeing measurements with MASS and DIMM , 2007, 0708.0195.

[5]  Amokrane Berdja,et al.  Multi-instrument measurement campaign at Paranal in 2007 - Characterization of the outer scale and the seeing of the surface layer , 2010 .

[6]  C. Coulman,et al.  Outer scale of turbulence appropriate to modeling refractive-index structure profiles. , 1988, Applied optics.

[7]  Thomas F. Coleman,et al.  A Reflective Newton Method for Minimizing a Quadratic Function Subject to Bounds on Some of the Variables , 1992, SIAM J. Optim..

[8]  Julien Borgnino,et al.  PML/PBL: A new generalized monitor of atmospheric turbulence profiles , 2013 .

[9]  M. Lombini,et al.  The Gemini MCAO System GeMS: nearing the end of a lab-story , 2010, Astronomical Telescopes + Instrumentation.

[10]  J. Borgnino,et al.  Estimation of the spatial coherence outer scale relevant to long baseline interferometry and imaging in optical astronomy. , 1990, Applied optics.

[11]  Francois Rigaut,et al.  Atmospheric turbulence profiling using multiple laser star wavefront sensors , 2012 .

[12]  Rodolphe Conan Modélisation des effets de l'échelle externe de cohérence spatiale du front d'onde pour l'observation à haute résolution angulaire en astronomie : application à l'optique adaptative, à l'interférométrie et aux très grands télescopes , 2000 .

[13]  Vladimir P. Lukin,et al.  Effective outer scale of turbulence for imaging through the atmosphere , 1998, Remote Sensing.

[14]  Julien Borgnino,et al.  Measurements of profiles of the wavefront outer scale using observations of the limb of the Moon , 2007 .

[15]  A. Lambert,et al.  Improved detection of atmospheric turbulence with SLODAR. , 2007, Optics express.

[16]  Jorge J. Moré,et al.  Computing a Trust Region Step , 1983 .