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2. Residual wavefront error

In order to determine the compensation quality in a field of view, the residual phase variance over the telescope aperture is expressed expanding the turbulent wavefront on the Zernike polynomials (or modes). The properties of Zernike polynomials, denoted Zj, are well described by Noll (Noll 1976) whose notation is adopted.
The wavefront tex2html_wrap_inline2616 incoming from a determined area on the Sun, located at angular distance tex2html_wrap_inline2618 from the on-axis observed direction, is expanded as (piston mode removed):
 equation209
where tex2html_wrap_inline2620 is the normalized position vector in the aperture, R the radius of the telescope aperture and the tex2html_wrap_inline2624 the Zernike expansion coefficients given by:
 equation219
introducing the Noll normalisation function:
 equation228
So, the polynomials tex2html_wrap_inline2626 normalised on the telescope aperture are defined in polar coordinates tex2html_wrap_inline2628 by:
displaymath2600

 equation252
and
equation255
where n is the radial degree of the tex2html_wrap_inline2632 polynomial and m its azimuthal frequency.
Let tex2html_wrap_inline2636 be the estimated wavefront reconstructed by the adaptive optics system on the first J polynomials from the measurements. In this paper, noise in the wavefront measurement will not be considered, therefore we write:
 equation269
The residual phase variance tex2html_wrap_inline2640 is estimated for an adaptive optics system having J degrees of freedom and for an angular distance tex2html_wrap_inline2618 between the two directions, calculating:
 equation277
Using the orthogonality properties of Zernike polynomials, Eq. (1 (click here)) and Eq. (6 (click here)), and the stationarity hypothesis, the residual phase variance is:
displaymath2601

 equation293
This result is classical in the estimation of wavefront residual error on the Zernike polynomial (Chassat 1989; Rousset 1993). The first term in brackets of the right hand side of Eq. (8 (click here)) represents the fitting error for an adaptive optics system which corrects the first J polynomials. It has been given by Noll (Noll 1976). The other term of the right hand side of the Eq. (8 (click here)) is the spatial and angular wavefront errors.
The residual error can be written as:
displaymath2602

 equation307
The quantity tex2html_wrap_inline2648) is the spatial and angular error for the corrected polynomial Zj. Correction by the adaptive optics system will be effective when tex2html_wrap_inline2652 is larger than 0 for each polynomial Zj, i.e. when:
 equation316
When the criterion of Eq. (10 (click here)) is satisfied, the measured wavefront at angular distance tex2html_wrap_inline2618 provides a satisfactory fit of the on-axis wavefront when the correlation criterion of Eq. (10 (click here)) is verified for all the correction modes. For instance, this criterion allows to select the number of useful correction modes for a given angular distance between the two wavefronts. Keeping in mind that all the low orders must be first corrected, a higher order mode will be corrected only if the criterion is verified. This result is general in wavefront residual error estimation for adaptive optics using the modal analysis (Rousset 1993).

Now, the Zernike coefficient angular correlations
tex2html_wrap_inline2658 between the two wavefront directions can be derived as indicated in References (Valley & Wandzura 1979; Chassat 1989; Molodij & Rousset 1997). Therefore, the Zernike coefficient angular correlation can be written as:
displaymath2603

 equation336
where r0 in this equation is the Fried parameter, D is the telescope diameter (D=2R), Cn2 is the turbulence profile, h is the altitude along the propagation path from tex2html_wrap_inline2668 (the effective altitude of the considered atmosphere is 20000 meter) to the telescope, and using the notation tex2html_wrap_inline2670:
displaymath2604

 equation357
where K is the Fourier space of the Zernike polynomials in polar coordinates (Noll 1976). and
displaymath2605

equation372

Let us notice that it is also possible to deduce from Eq. (11 (click here)) and (12 (click here)), the Zernike polynomial coefficient variances. The result is in perfect agreement with the variances given by Noll (Noll 1976). Let us remark that the variance only depends on the radial degree n and is given by:
 equation384
where tex2html_wrap_inline2676.

To calculate the residual phase variance Eq. (8 (click here)), we consider first that the number J of corrected polynomials is chosen in order to include all the polynomials of the maximum radial degree N. Knowing that there is n+1 polynomials per radial degree n, we have therefore:
tex2html_wrap_inline2686.
Secondly, the azimuthal frequency symmetry properties of Zernike coefficient correlations are useful. Summation on all azimuthal frequencies of a radial degree leads to only a radial degree dependence. Then, we have using Eq. (11 (click here)):
displaymath2606

 equation411

Integral In,m(x) (Eq. (12 (click here))) can be evaluated in closed form using Mellin transform techniques as proposed by Sasiela and expressed in terms of rapidly converging series (Sasiela 1994). This integral is transformed into a Mellin-Barnes integral and is then expressed as a sum of generalised hypergeometric functions in the appendix A. As mentioned by Tyler (Tyler 1990), this analytic form is related to integral involving product of three Bessel functions and can be evaluated only for restrictive cases, i.e. here depending on the angular separation. To overcome this limitation, Chassat (Chassat 1992) proposed an analytic solution applying a recursive development which is also presented in the Appendix.


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