&lt;title&gt;Shack-Hartmann wavefront sensor for laser beam analyses&lt;/title&gt;

Zavalova, Valentina Ye.; Kudryashov, Alexis

doi:10.1117/12.454723

Cited by 31 publications

(6 citation statements)

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“…The Shack-Hartmann wavefront sensor (SHWFS) is one of the most commonly used instruments for measuring optical aberrations in adaptive optic (AO) systems. Besides, it is also used in surface metrology [1], aberration measurements of the human eye [2] and laser beam analysis [3]. The SHWFS utilizes a microlens array to dissect the incoming wavefront into many sub-wavefronts, and light spots are focused by a detector array placed at the focal plane of these microlenses [4].…”

Section: Introductionmentioning

confidence: 99%

High-precision wavefront reconstruction from Shack-Hartmann wavefront sensor data by a deep convolutional neural network

Gu¹,

Zhao²,

Zhang³

et al. 2021

Meas. Sci. Technol.

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The Shack–Hartmann wavefront sensor (SHWFS) has been widely used for measuring aberrations in adaptive optics systems. However, its traditional wavefront reconstruction method usually has limited precision under field conditions because the weight-of-center calculation is affected by many factors, such as low signal-to-noise-ratio objects, strong turbulence, and so on. In this paper, we present a ResNet50+ network that reconstructs the wavefront with high precision from the spot pattern of the SHWFS. In this method, a nonlinear relationship is built between the spot pattern and the corresponding Zernike coefficients without using a traditional weight-of-center calculation. The results indicate that the root-mean-square (RMS) value of the residual wavefront is 0.0128 μm, which is 0.79% of the original wavefront RMS. Additionally, we can reconstruct the wavefront under atmospheric conditions, if the ratio between the telescope aperture’s diameter D and the coherent length r 0 is 20 or if a natural guide star of the ninth magnitude is available, with an RMS reconstruction error of less than 0.1 μm. The method presented is effective in the measurement of wavefronts disturbed by atmospheric turbulence for the observation of weak astronomical objects.

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Section: Introductionmentioning

confidence: 99%

High-precision wavefront reconstruction from Shack-Hartmann wavefront sensor data by a deep convolutional neural network

Gu¹,

Zhao²,

Zhang³

et al. 2021

Meas. Sci. Technol.

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“…Zonal wavefront sensing provides a robust way to estimate a wavefront by zonewise sampling of the incident beam cross section. The Shack-Hartmann wavefront sensor (SHWS) [1] is the most widely used zonal wavefront sensor which finds applications in areas such as ophthalmology [2,3], observational astronomy [4], laser beam characterization [5][6][7], optical microscopy [8], optical trapping [9], etc. The SHWS comprises a two dimensional array of tiny lenses, called lenslets, followed by a digital camera.…”

Section: Introductionmentioning

confidence: 99%

A zonal wavefront sensor with multiple detector planes

Pathak¹,

Boruah²

2018

J. Opt.

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A conventional zonal wavefront sensor estimates the wavefront from the data captured in a single detector plane using a single camera. In this paper, we introduce a zonal wavefront sensor which comprises multiple detector planes instead of a single detector plane. The proposed sensor is based on an array of custom designed plane diffraction gratings followed by a single focusing lens. The laser beam whose wavefront is to be estimated is incident on the grating array and one of the diffracted orders from each grating is focused on the detector plane. The setup, by employing a beam splitter arrangement, facilitates focusing of the diffracted beams on multiple detector planes where multiple cameras can be placed. The use of multiple cameras in the sensor can offer several advantages in the wavefront estimation. For instance, the proposed sensor can provide superior inherent centroid detection accuracy that can not be achieved by the conventional system. It can also provide enhanced dynamic range and reduced crosstalk performance. We present here the results from a proof of principle experimental arrangement that demonstrate the advantages of the proposed wavefront sensing scheme.

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“…In FI the surface under test is conjugated to the plane of detector of digital camera to obtain best imaging of fringe pattern; conjugated planes are indicated as dotted lines. Wavefront measurement by SHWFS is based on the measurements of local slopes of a distorted wavefront relative to a reference wavefront [1]. The deviations of the focal spots from some reference positions corresponding to a reference wavefront are measured in each subaperture on a detector array matrix.…”

Section: Introductionmentioning

confidence: 99%

Hartmannometer versus Fizeau Interferometer: advantages and drawbacks

Nikitin

Sheldakova²,

Kudryashov

et al. 2015

SPIE Proceedings

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In this paper we consider two approaches widely used in optical testing: Shack-Hartmann wavefront sensor and Fizeau interferometer technique. Fizeau interferometer that is widely used in optical testing can be easily transformed to a device using Shack-Hartmann wavefront sensor, the alternative technique to check optical components. We call this device Hartmannometer, and compare its features to those of Fizeau interferometer.

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<title>Shack-Hartmann wavefront sensor for laser beam analyses</title>

Cited by 31 publications

References 0 publications

High-precision wavefront reconstruction from Shack-Hartmann wavefront sensor data by a deep convolutional neural network

High-precision wavefront reconstruction from Shack-Hartmann wavefront sensor data by a deep convolutional neural network

A zonal wavefront sensor with multiple detector planes

Hartmannometer versus Fizeau Interferometer: advantages and drawbacks

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