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Optical Engineering

Adaptive-weight iterative algorithm for flat-top laser beam shaping
Author(s): Dong Wang; Jian Zhang; Hongxin Zhang
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Paper Abstract

An adaptive-weight fast-Fourier-transform-based iterative algorithm is proposed for far-field flat-top beam shaping. This algorithm inherits the projection optimization idea from the Gerchberg-Saxton algorithm, but the far-field amplitude for inverse fast Fourier transform is adaptively modified by using a novel optimized adaptive-weight strategy. First, the application of this method to square flat-top intensity-profile beam shaping is discussed as an example. The pure-phase distribution simulated by 100 iterations of this method concentrates 93.89% of the incident laser energy into the desired region and the root mean square error (RMSE) of the tailored flat-top intensity profile is 0.0094. Less than 20 iterations of this method concentrate more than 90% of the incident laser energy into the desired region and the RMSE of the tailored flat-top intensity profile is under 0.05. Then, the applicability of the method to designing the phase distributions for variable-shape or variable-diameter flat-top beam shaping is demonstrated.

Paper Details

Date Published: 18 July 2012
PDF: 9 pages
Opt. Eng. 51(7) 074301 doi: 10.1117/1.OE.51.7.074301
Published in: Optical Engineering Volume 51, Issue 7
Show Author Affiliations
Dong Wang, Harbin Institute of Technology (China)
Jian Zhang, Harbin Institute of Technology (China)
Hongxin Zhang, Harbin Institute of Technology (China)


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