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Computational nanotechnology, 2016, Issue 4, Pages 21–27 (Mi cn96)  

LASER AND INFORMATION TECHNOLOGIES. MATHEMATICAL MODELING

Transformation of radiation by the generalized parabolic (aspherical) lens

A. V. Ustinov

the Image Processing Systems Institute of the Russian Academy of Sciences
References:
Abstract: An action survey of the optical elements class named by generalized parabolic lens is cited in this paper. The approximately-analytical and numerical analysis of radiation transformation realized by the generalized parabolic lens is described within the limits of different theories: geometrical-optics and wave (paraxial and nonparaxial). The types of refracting aspherical surfaces described with power function are defined on base of the geometrical-optics analysis. The surfaces allow to form characteristic intensity distributions on an optical axis. A paraxial propagation of laser beam with an initial arbitrary power phase function is described with approximate analytical expressions which are agreed qualitatively with the geometrical-optics analysis. The obtained expressions are precision for exponents 1 and 4. A nonparaxial analysis is implemented on base of calculation of the Rayleigh-Sommerfeld integral with qualifying corrections. It is shown that essential growth of intensity in the focus happens at the exponent value from 1 to 2, at that the maximal intensity is achieved in a middle of the range.
Keywords: generalized parabolic lens; the method of stationary phase; axial intensity distribution, depth of focus.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Ustinov, “Transformation of radiation by the generalized parabolic (aspherical) lens”, Comp. nanotechnol., 2016, no. 4, 21–27
Citation in format AMSBIB
\Bibitem{Ust16}
\by A.~V.~Ustinov
\paper Transformation of radiation by the generalized parabolic (aspherical) lens
\jour Comp. nanotechnol.
\yr 2016
\issue 4
\pages 21--27
\mathnet{http://mi.mathnet.ru/cn96}
\elib{https://elibrary.ru/item.asp?id=27485999}
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    Computational nanotechnology
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