1 V. Y. Zavalova, "Shack-Hartmann wavefront sensor for laser beam analysis" 4493 : 277-284, 2002
2 L. M. Mugnier, "Phase diversity : a technique for wave-front sensing and for diffraction-limited imaging" 141 : 1-76, 2006
3 S. W. Paine, "Overcoming large piston capture range problems in segmented systems using broadband light" Optica Publishing Group 2015
4 D. C. Liu, "On the limited memory BFGS method for large scale optimization" 45 : 503-528, 1989
5 S. T. Thurman, "Method of obtaining wavefront slope data from through-focus point spread function measurements" 28 : 1-7, 2011
6 S. W. Paine, "Machine learning for improved image-based wavefront sensing" 43 : 1235-1238, 2018
7 S. W. Paine, "Machine learning for avoiding stagnation in image-based wavefront sensing" 10980 : 109800T-, 2019
8 R. G. Paxman, "Joint estimation of object and aberrations by using phase diversity" 9 : 1072-1085, 1992
9 C. Weinberger, "Improved training for the deep learning wavefront sensor" 11448 : 114484G-, 2020
10 A. S. Jurling, "Improved method for solving the capture range problem in focus-diverse phase retrieval for segmented systems" Optica Publishing Group 2010
1 V. Y. Zavalova, "Shack-Hartmann wavefront sensor for laser beam analysis" 4493 : 277-284, 2002
2 L. M. Mugnier, "Phase diversity : a technique for wave-front sensing and for diffraction-limited imaging" 141 : 1-76, 2006
3 S. W. Paine, "Overcoming large piston capture range problems in segmented systems using broadband light" Optica Publishing Group 2015
4 D. C. Liu, "On the limited memory BFGS method for large scale optimization" 45 : 503-528, 1989
5 S. T. Thurman, "Method of obtaining wavefront slope data from through-focus point spread function measurements" 28 : 1-7, 2011
6 S. W. Paine, "Machine learning for improved image-based wavefront sensing" 43 : 1235-1238, 2018
7 S. W. Paine, "Machine learning for avoiding stagnation in image-based wavefront sensing" 10980 : 109800T-, 2019
8 R. G. Paxman, "Joint estimation of object and aberrations by using phase diversity" 9 : 1072-1085, 1992
9 C. Weinberger, "Improved training for the deep learning wavefront sensor" 11448 : 114484G-, 2020
10 A. S. Jurling, "Improved method for solving the capture range problem in focus-diverse phase retrieval for segmented systems" Optica Publishing Group 2010
11 P. G. Zhang, "Hybrid particle swarm global optimization algorithm for phase diversity phase retrieval" 24 : 25704-25717, 2016
12 W. Zhao, "Highaccuracy piston error measurement with a large capture range based on coherent diffraction" 11056 : 110563B-, 2019
13 G. Ju, "Feature-based phase retrieval wavefront sensing approach using machine learning" 26 : 31767-31783, 2018
14 D. B. Moore, "Extending the capture range of phase retrieval through random starting parameters" Optica Publishing Group 2014
15 S. W. Paine, "Extending capture range for piston retrieval in segmented systems" 56 : 9186-9192, 2017
16 H. Cao, "Extending capture range for piston error in segmented primary mirror telescopes based on wavelet support vector machine with improved particle swarm optimization" 8 : 111585-111597, 2020
17 A. S. Jurling, "Extended capture range for focus-diverse phase retrieval in segmented aperture systems using geometrical optics" 31 : 661-666, 2014
18 S. W. Paine, "Expanding the capture range of image-based wavefront sensing problems" University of Rochester 2019
19 R. E. Carlisle, "Demonstration of extended capture range for James Webb Space Telescope phase retrieval" 54 : 6454-6460, 2015
20 J. C. Wyant, "Applied Optics and Optical Engineering Series Volume 11" Academic Press 28-, 1992
21 A. S. Jurling, "Advances in algorithms for image based wavefront sensing" University of Rochester 2015