Recognition of wavefront aberrations corresponding to individual Zernike functions from the pattern of the point scattering function in the focal plane using neural networks

Ilya A. Rodin; Pavel G. Serafimovich; Sergey B. Popov

doi:10.1117/12.2592790

22 June 2021 Recognition of wavefront aberrations corresponding to individual Zernike functions from the pattern of the point scattering function in the focal plane using neural networks

Ilya A. Rodin, Pavel G. Serafimovich, Sergey B. Popov

Author Affiliations +

Proceedings Volume 11793, Optical Technologies for Telecommunications 2020; 1179310 (2021) https://doi.org/10.1117/12.2592790
Event: Eighteenth International Scientific and Technical Conference "Optical Technologies for Communications", 2020, Samara, Russian Federation

Abstract

In this work, training and recognition of the types of aberrations corresponding to individual Zernike functions have been carried out by the pattern of the intensity of the point scattering function (PSF) using convolutional neural networks. The PSF intensity patterns in the focal plane were modeled using the Fast Fourier Transform algorithm. When training a neural network, the learning coefficient and the number of epochs for a dataset of a given size were selected empirically. The average prediction errors of the neural network for each type of aberration were obtained for a set of 15 Zernike functions from a dataset of 15 thousand PSF pictures. As a result of training, for most types of aberrations, averaged absolute errors were obtained in the range 0.012–0.015, however, the determination of the aberration coefficient (magnitude) requires additional research and data, for example, calculating the PSF in the extrafocal plane.

Citation Download Citation

Ilya A. Rodin, Pavel G. Serafimovich, and Sergey B. Popov "Recognition of wavefront aberrations corresponding to individual Zernike functions from the pattern of the point scattering function in the focal plane using neural networks", Proc. SPIE 11793, Optical Technologies for Telecommunications 2020, 1179310 (22 June 2021); https://doi.org/10.1117/12.2592790

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available