Volume 9 Issue 4
Jul.  2016
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CHEN Hui-ying, WANG Wei-bing, WANG Ting-feng, GUO Jin. Relationship between performance of stochastic parallel gradient descent algorithm and distribution rule of deformable mirror[J]. Chinese Optics, 2016, 9(4): 432-438. doi: 10.3788/CO.20160904.0432
Citation: CHEN Hui-ying, WANG Wei-bing, WANG Ting-feng, GUO Jin. Relationship between performance of stochastic parallel gradient descent algorithm and distribution rule of deformable mirror[J]. Chinese Optics, 2016, 9(4): 432-438. doi: 10.3788/CO.20160904.0432

Relationship between performance of stochastic parallel gradient descent algorithm and distribution rule of deformable mirror

doi: 10.3788/CO.20160904.0432
Funds:

Supported by National High-tech R&D Program of China No.DAA7031024G

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  • Corresponding author: E-mail:chenhy@ciomp.ac.cn
  • Received Date: 05 Apr 2016
  • Rev Recd Date: 13 May 2016
  • Publish Date: 01 Aug 2016
  • The relationship between the performance of stochastic parallel gradient descent(SPGD) algorithm and distribution rule of deformable mirror is studied in this paper. The study object is distortion wave-front including 52 order Zernike aberrations created with Roddier method. The simulation research mainly focuses on relationship between convergence rate, shaping effect of SPGD algorithm and distribution rule of deformable mirrors with 19, 21, 32, 37, 45, 60, 61, 77, and 91 units. The results show that from the general analysis, the convergence and shaping effects of SPGD algorithm gradually become worse with actuator number of deformable mirror increases, but from the partial analysis, this trend create local difference due to different cell type and void ratio in the edge of deformable mirror.

     

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