Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm

• DOI: 10.3390/s23104966
• Publication Date: 2023-05-22T09:49:32Z
• Authors: Haoyuan Zhang; Guohao Ju; Liang Guo; Boqian Xu; Xiaoquan Bai; Fengyi Jiang; Shuyan Xu
• Keywords: Broyden–Fletcher–Goldfarb–Shanno algorithm; Robustness

The presence of manufacture error in large mirrors introduces high-order aberrations, which can severely influence the intensity distribution point spread function. Therefore, high-resolution phase diversity wavefront sensing is usually needed. However, restricted with problem low efficiency and stagnation. This paper proposes a fast method limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm, accurately detect aberrations aberrations. An analytical gradient objective function for phase-diversity integrated into framework L-BFGS nonlinear optimization algorithm. algorithm specifically suitable where matrix optimized. performance compared to other iterative through simulations real experiment. work contributes image-based high robustness.