Zernike polynomials and aberration balancing
Virendra N. Mahajan
Abstract
Virendra N. Mahajan
Abstract
For small aberrations, the Strehl ratio of an imaging system depends on the aberration variance. If the aberration function is expanded in terms of a complete set of polynomials that are orthogonal over the system aperture, then the variance is given by the sum of the square of the aberration coefficients. One such set is that of Zernike polynomials, which are orthogonal over a circular pupil. Its advantage lies in the fact that Zernike polynomials can be identified with the classical aberrations that are balanced to yield minimum variance, and thus a maximum Strehl ratio. We discuss classical aberrations, balanced aberrations, and Zernike polynomials for systems with circular pupils. How these polynomials change for an annular or a Gaussian pupil are also discussed.
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For small aberrations, the Strehl ratio of an imaging system depends on the aberration variance. If the aberration function is expanded in terms of a complete set of polynomials that are orthogonal over the system aperture, then the variance is given by the sum of the square of the aberration coefficients. One such set is that of Zernike polynomials, which are orthogonal over a circular pupil. Its advantage lies in the fact that Zernike polynomials can be identified with the classical aberrations that are balanced to yield minimum variance, and thus a maximum Strehl ratio. We discuss classical aberrations, balanced aberrations, and Zernike polynomials for systems with circular pupils. How these polynomials change for an annular or a Gaussian pupil are also discussed.
Key concepts: Zernike polynomials, Strehl ratio, Adaptive optics, Optics, Orthogonal polynomials, Gaussian, Aperture (computer memory), Optical aberration