Research of the Determination of Thin Film Optical Constants by Using the Simulated Annealing Algorithm

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Simulated annealing algorithm is a mathematic model, which imitates the physical process of annealing. And optical thin film is widely used in many industry, To perform the functions for which they were designed, the films must have proper thickness, roughness and other characteristics. In the paper, the simulated annealing algorithm is used to determine the film optical constant It uses the transmission data through thin film over a range of wavelengths to calculate the thickness. According to the experimental results, the solution found by simulated annealing algorithm is unique and correct.

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9-13

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July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Herault and R. Horaud. Figure-ground discrimination: a combinatorial optimization approach. IEEE Trans. Pattern Anal. Mach. Intell. 1993, 15: 899-916.

DOI: 10.1109/34.232076

Google Scholar

[2] Ingber L. Adaptive simulated annealing: lessons learned. J Control and Cybernetics, 1996, 25 (1): 33-54.

Google Scholar

[3] A. Duval, A. Laisne, D. Pompon, et al. Polarimetric surface plasmon resonance imaging biosensor. Optics Letters, 2009, 34(23): 3634-3636.

DOI: 10.1364/ol.34.003634

Google Scholar

[4] M. Suman, M. G Pelizzo, D. L. Windt, et al. Extreme-ultraviolet multilayer coatings with high spectral purity for solar imaging. Applied Optics, 2009, 48(29): 5432-5437.

DOI: 10.1364/ao.48.005432

Google Scholar

[5] James D. Barrie, Michael J. Meshishnek, Peter D. Fuqua, et al. Simulated space environmental exposure of optical coatings for spacecraft solar rejection. Applied Optics, 2002, 41(16): 3150-3155.

DOI: 10.1364/ao.41.003150

Google Scholar

[6] Tang.J. F, Gu.P. F, Thin Film Optics and Technology (Mechanical Industrial Press, 1989).

Google Scholar

[7] Li jianchao, Su junhong. Research on stimulated annealing algorithm of thin film optical constant. Optical instruments, 2005, 27(4): 73-77.

Google Scholar

[8] Tang.J. F, and Zheng. Q, Applied Thin Film Optics (Shang Hai Scientific and Technical Press, 1984).

Google Scholar

[9] N. Metropolis, A. W. Rosenbluth, and A. H. Teller. Equation of state calculations by fast computing machines. J. Chem. Phys., 1953, 21: 1087-1092.

DOI: 10.1063/1.1699114

Google Scholar

[10] S. Kirkpatrick, C. D. Gelatt Jr., and M. P. Vecchi. Optimization by simulated annealing. Science, 1983, 220: 671-680.

DOI: 10.1126/science.220.4598.671

Google Scholar

[11] P. J. M. Van Laarhoven and E. H. L. Aarts, Simulated Annealing: Theory and Applications (Kluwer, Dordrecht, The Netherlands, 1989), p.17–71.

Google Scholar

[12] L. Herault and R. Horaud. Figure-ground discrimination: acombinatorial optimization approach. IEEE Trans. PatternAnal. Mach. Intell. 1993, 15, 899–916.

DOI: 10.1109/34.232076

Google Scholar