Wavefront sensing for 3D particle metrology and velocimetry

2006 ◽  
Author(s):  
N. Angarita-Jaimes ◽  
E. McGhee ◽  
M. Chennaoui ◽  
H. I. Campbell ◽  
S. Zhang ◽  
...  
Keyword(s):  
Wavefront Sensing

scholarly journals A Tip–Tilt and Piston Detection Approach for Segmented Telescopes

Photonics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Shun Qin ◽  
Wai Kin Chan
Keyword(s):  
Error Detection ◽  
Phase Retrieval ◽  
Dynamic Range ◽  
Detection Accuracy ◽  
Wavefront Sensing ◽  
Next Generation ◽  
Large Aperture ◽  
Detection Approach ◽  
Segmented Mirror ◽  
And Control

Accurate segmented mirror wavefront sensing and control is essential for next-generation large aperture telescope system design. In this paper, a direct tip–tilt and piston error detection technique based on model-based phase retrieval with multiple defocused images is proposed for segmented mirror wavefront sensing. In our technique, the tip–tilt and piston error are represented by a basis consisting of three basic plane functions with respect to the x, y, and z axis so that they can be parameterized by the coefficients of these bases; the coefficients then are solved by a non-linear optimization method with the defocus multi-images. Simulation results show that the proposed technique is capable of measuring high dynamic range wavefront error reaching 7λ, while resulting in high detection accuracy. The algorithm is demonstrated as robust to noise by introducing phase parameterization. In comparison, the proposed tip–tilt and piston error detection approach is much easier to implement than many existing methods, which usually introduce extra sensors and devices, as it is a technique based on multiple images. These characteristics make it promising for the application of wavefront sensing and control in next-generation large aperture telescopes.

scholarly journals Computational Method for Wavefront Sensing Based on Transport-Of-Intensity Equation

Photonics ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 177
Author(s):  
Iliya Gritsenko ◽  
Michael Kovalev ◽  
George Krasin ◽  
Matvey Konoplyov ◽  
Nikita Stsepuro
Keyword(s):  
A Priori ◽  
Spherical Wave ◽  
Computational Method ◽  
Optical Systems ◽  
Radius Of Curvature ◽  
Imaging Method ◽  
Wavefront Sensing ◽  
Phase Imaging ◽  
Transport Of Intensity Equation ◽  
Priori Information

Recently the transport-of-intensity equation as a phase imaging method turned out as an effective microscopy method that does not require the use of high-resolution optical systems and a priori information about the object. In this paper we propose a mathematical model that adapts the transport-of-intensity equation for the purpose of wavefront sensing of the given light wave. The analysis of the influence of the longitudinal displacement z and the step between intensity distributions measurements on the error in determining the wavefront radius of curvature of a spherical wave is carried out. The proposed method is compared with the traditional Shack–Hartmann method and the method based on computer-generated Fourier holograms. Numerical simulation showed that the proposed method allows measurement of the wavefront radius of curvature with radius of 40 mm and with accuracy of ~200 μm.

Large-optics shearing interferometer for the wavefront sensing of widely tunable laser

2010 ◽  
Author(s):  
Zhu Luan ◽  
Lijuan Wang ◽  
Yu Zhou ◽  
Enwen Dai ◽  
Jianfeng Sun ◽  
...  
Keyword(s):  
Tunable Laser ◽  
Wavefront Sensing

scholarly journals Coronagraph-integrated wavefront sensing with a sparse aperture mask

2015 ◽  
Vol 1 (3) ◽  
pp. 039001 ◽  
Author(s):  
Hari Subedi ◽  
Neil T. Zimmerman ◽  
N. Jeremy Kasdin ◽  
Kathleen Cavanagh ◽  
A J Eldorado Riggs
Keyword(s):  
Wavefront Sensing ◽  
Sparse Aperture

Curvature wavefront sensing based on a single defocused image and intensity compensation

2016 ◽  
Vol 55 (10) ◽  
pp. 2791 ◽  
Author(s):  
Zhixu Wu ◽  
Hua Bai ◽  
Xiangqun Cui
Keyword(s):  
Wavefront Sensing ◽  
Defocused Image

scholarly journals Optimization of Virtual Shack-Hartmann Wavefront Sensing

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4698
Author(s):  
Xian Yue ◽  
Yaliang Yang ◽  
Fei Xiao ◽  
Hao Dai ◽  
Chao Geng ◽  
...  
Keyword(s):  
Optimization Methods ◽  
Wavefront Sensing ◽  
Noise Performance ◽  
Zero Padding ◽  
Ocular Aberrations ◽  
Processing Procedure ◽  
Wavefront Error ◽  
Before And After ◽  
Calculation Algorithms ◽  
Normal Human

Virtual Shack–Hartmann wavefront sensing (vSHWS) can flexibly adjust parameters to meet different requirements without changing the system, and it is a promising means for aberration measurement. However, how to optimize its parameters to achieve the best performance is rarely discussed. In this work, the data processing procedure and methods of vSHWS were demonstrated by using a set of normal human ocular aberrations as an example. The shapes (round and square) of a virtual lenslet, the zero-padding of the sub-aperture electric field, sub-aperture number, as well as the sequences (before and after diffraction calculation), algorithms, and interval of data interpolation, were analyzed to find the optimal configuration. The effect of the above optimizations on its anti-noise performance was also studied. The Zernike coefficient errors and the root mean square of the wavefront error between the reconstructed and preset wavefronts were used for performance evaluation. The performance of the optimized vSHWS could be significantly improved compared to that of a non-optimized one, which was also verified with 20 sets of clinical human ocular aberrations. This work makes the vSHWS’s implementation clearer, and the optimization methods and the obtained results are of great significance for its applications.

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