Particle-swarm optimization of axially superresolving binary-phase diffractive optical elements
Optics Letters, Vol. 33, Issue 13, pp. 1533-1535 (2008)
http://dx.doi.org/10.1364/OL.33.001533
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Abstract
A particle-swarm optimization (PSO) algorithm was developed for designing binary-phase-only diffractive optical elements (DOEs) that superresolve the axially focused point-spread function. The method is based on vector diffraction theory to ensure solutions are valid under high-NA conditions. A DOE is identified that superresolves the focal spot by 34% and maintains the sidelobes below 50% of the peak intensity. The algorithm was used to obtain the Pareto front of the fitness-value space, which describes the achievable superresolution versus an allowed upper bound in sidelobe intensity. The results suggest that the algorithm yields solutions that are global in terms of the co-optimized fitness values G and M.
© 2008 Optical Society of America
OCIS Codes
(050.1380) Diffraction and gratings : Binary optics
(050.5080) Diffraction and gratings : Phase shift
ToC Category:
Diffraction and Gratings
History
Original Manuscript: April 9, 2008
Revised Manuscript: May 30, 2008
Manuscript Accepted: May 30, 2008
Published: June 30, 2008
Citation
Toufic G. Jabbour and Stephen M. Kuebler, "Particle-swarm optimization of axially superresolving binary-phase diffractive optical elements," Opt. Lett. 33, 1533-1535 (2008)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-33-13-1533
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