Download Adaptive Beaming and Imaging in the Turbulent Atmosphere by Vladimir P. Lukin, Boris V. Fortes PDF

By Vladimir P. Lukin, Boris V. Fortes

As a result extensive software of adaptive optical structures, an figuring out of optical wave propagation in randomly inhomogeneous media has turn into crucial, and several other numerical versions of person AOS elements and of effective correction algorithms were built. This monograph includes targeted descriptions of the mathematical experiments that have been designed and performed in the course of greater than a decade's worthy of research.

Contents

- Preface to the English version

- creation

- Mathematical Simulation of Laser Beam Propagation within the surroundings

- Modeling an Adaptive Optics approach

- Adaptive Imaging

- Minimization and part Correction of Thermal Blooming of High-Power Beams

- A Reference Beacon as a Key component of an Adaptive Optics procedure

- end

- Index

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Additional resources for Adaptive Beaming and Imaging in the Turbulent Atmosphere (SPIE Press Monograph Vol. PM109)

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34. M. Obukhov, “Energy distribution in spectra of a turbulent stream,” Dok. Akad. Nauk SSR, 32, pp. 22–24, 1943. 35. P. Lukin, Atmospheric Adaptive Optics, Nauka, Novosibirsk, 1986. 36. M. Yaglom, Statistical Hydrodynamics. Part II, Nauka, Moscow, 1967. 37. I. A. P. Jaroslavski, “Method of generation of correlated Gaussian pseudo-random numbers on a computer,” J. Com. Math. and Math. Physics, 12, pp. 1353–1357, 1972. 38. B. C. Peri, “Production and use of a lenticular Hartmann screen,” J. Opt.

4. 5. 6. R. Buckley, “Diffraction by a random phase-changing screen: A numerical experiment,” J. Atm. 12, pp. 1431–1446, 1975. A. R. D. Feit, “Time-dependent propagation of a highenergy laser beam through the atmosphere,” Appl. , 10, No. 1, pp. 129–139, 1976. P. I. Z Ser. , 24, No. 4, pp. 434–442, 1981. A. Konyaev, “Modification of the splitting method for numerical solution of quasi-optical problems,” in Abstracts of Reports at the VI Conference on Laser Beam Propagation in the Atmosphere, pp.

In other cases the correlation is zero. For dynamic simulation, we also need to know the autocorrelation functions of the expansion coefficients Bl     al  t  al  t    . 15) Bl     Ql    F    exp  i V   d 2  . 16) J n21 ( R)  J ( V )  (1) m l cos(2m) J 2 m ( V )(1  m 0 ) . 17) where  is the temporal frequency. Substituting Bl () from Eq. 17) into Eq. 18) which can be used to generate random temporal realizations of the expansion coefficients. However, a difficulty arises that is due to correlation of the expansion coefficients in terms of the Zernike polynomials.

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