Open AccessInfluence of coupling coefficient on sparseness of slope response matrix and iterative matrix
Author(s) -
Sen Cheng,
Shanqiu Chen,
Lizhi Dong,
Wenjin Liu,
Shuai Wang,
Ping Yang,
Mingwu Ao,
Bing Xu
Publication year - 2014
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.63.074206
Subject(s) - wavefront , actuator , matrix (chemical analysis) , coupling (piping) , deformable mirror , iterative method , coefficient matrix , stability (learning theory) , control theory (sociology) , coupling coefficient of resonators , physics , computer science , optics , algorithm , materials science , artificial intelligence , eigenvalues and eigenvectors , quantum mechanics , metallurgy , composite material , control (management) , machine learning , resonator
Based on a 529-actuator adaptive optic (AO) system, the sparseness of slope response matrix from deformable mirror to Hartmann wavefront sensor and the sparseness of iterative matrix in wavefront reconstruction are analyzed. The influence of actuator coupling coefficient on the slope response matrix sparseness, the iterative matrix sparseness, and the AO system correction quality are also studied under the condition of constant actuator spacing. Larger coupling coefficient results in a lower sparseness of slope response matrix and an iterative matrix. Too large or too small coupling coefficient will lead to lower stability and correction quality of AO system. Finally, the optimal range of coupling coefficient is provided by the balancing correction quality, sparseness of slope response matrix, and stability.