Computer Optics

In this work, using the Richards-Wolf formalism, we consider the sharp focusing of optical vortices with hybrid polarization, which combines the properties of azimuthal and circular polarizations. It is shown that these beams have a number of unique properties: the intensity pattern in such beams is rotating with distance from the focal spot and the longitudinal component of the spin angular momentum is asymmetrically shaped.

S.S. Stafeev

V.D. Zaitcev

V.V. Kotlyar

Sharp focusing of a hybridly polarized optical vortex

混合偏振光学涡旋的锐聚焦

We study the spin angular momentum of a superposition of two vector light beams radial symmetry, one has cylindrical polarization and another – linear. Both beams can have an arbitrary radial shape. An analytical expression is obtained for the spin angular momentum and two its properties are proven. The first one is that changing weight coefficients of the superposition does not changes the shape of the spin angular momentum density distribution, whereas the intensity shape can change. The second property is that the maximal spin angular momentum density is achieved when both constituent beams in the superposition have equal energy.

A.A. Kovalev

Energy rule for enhancing the spin Hall effect in superposition of axisymmetric beams with cylindrical and linear polarization

能量规则增强轴对称光束圆偏振与线偏振叠加中的自旋霍尔效应

In this study, an algorithm based on convolutional neural networks is employed as an interrogation method for a fiber specklegram sensor. This algorithm is compared with conventional interrogation methods, including correlation between images, measurement of optical power, and radial moments. Fiber specklegram sensors have room for improvement as conventional methods only consider a single characteristic of the specklegram for variable prediction, thus failing to leverage the full spectrum of information within the specklegram. Consequently, the approach put forth here introduces a convolutional neural network for the extraction of specklegram features, accompanied by an artificial neural network for variable regression. The specklegrams used in this investigation are obtained through simulating temperature disturbances in a multimode fiber using the Finite Elements Method. The results reveal prediction RMSE errors ranging from 10.26°C for the first radial moment to 1.42°C for the proposed algorithm. These findings underscore the effectiveness of the proposed strategy in enhancing sensor performance and robustness, all while upholding their cost-efficiency.

F.J. Vélez

J.D. Arango

V.H. Aristizábal

C.A. Trujillo

J. Herrera-Ramírez

Comparative performance evaluation of classical methods and a deep learning approach for temperature prediction in fiber optic specklegram sensors

经典方法与深度学习方法在光纤光斑图传感器温度预测中的性能比较评估

The possibilities of using spatial separation of channels in a multimode fiber are considered. When information is transmitted through a multimode fiber, a large number of errors arise due to mode dispersion, mode-to-mode interference and other sources. It is shown that if the fiber data transmission utilizes not an image corresponding to the original digital array but an image hologram, it is possible to use a specific property of holography – the divisibility of a hologram, thus ensuring the restoration of the original image from a highly distorted hologram or its fragment. The virtual optical object for which a hologram is constructed is a point source on a black background, and information is included in the coordinates of the radiation source. The result of encoding is the simplest hologram – a Fresnel zone plate, with the coordinates of the plate center carrying the encoded information. At the receiver, the purpose of decoding is not to restore the brightness of each point of the transmitted hologram, but to calculate the coordinates of the center of the Fresnel zones. This is what makes this method highly resistant to all types of distortion. A description of the numerical simulation is given, the results of which show that when moving from using a single-mode optical fiber for digital data communication to a multimode fiber for image transmission with the number of modes N=4096, a 128-fold increase in the transmission speed can be achieved, with mode dispersion distorting up to 20% of the received image.

A.L. Timofeev

A.K. Sultanov

I.K. Meshkov

A.R. Gizatulin

V.K. Bagmanov

Using a multimode fiber to improve data transfer rates

利用多模光纤提高数据传输速率

A numerical model is developed for simulation of the propagation of a light bullet in LiF crystal and the formation of a colored track. The model reproduces the previously observed longitudinal oscillations in the concentration of color centers in the track and oscillations in the track width. For the first time, the phase shift between these oscillations is numerically reproduced.

A.V. Kuznetsov

Model of light bullet propagation in LiF crystal

LiF晶体中光弹传播模型

Abbreviation	Comput. Opt.
Journal Impact	1.03
Quartiles(Global)	OPTICS(Q4)

ISSN	0134-2452, 2412-6179
h-index	39

Publication Information	Publisher: Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS，Publishing cycle: ，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 2008，Proportion of original research papers: 98.90%，Self Citation Rate:18.20%， Gold OA Rate: 73.99%
Average review cycle	网友分享经验：9 Weeks

Computer Optics

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Sharp focusing of a hybridly polarized optical vortex

Energy rule for enhancing the spin Hall effect in superposition of axisymmetric beams with cylindrical and linear polarization

Comparative performance evaluation of classical methods and a deep learning approach for temperature prediction in fiber optic specklegram sensors

Using a multimode fiber to improve data transfer rates

Model of light bullet propagation in LiF crystal

Sharp focusing of a hybridly polarized optical vortex

Energy rule for enhancing the spin Hall effect in superposition of axisymmetric beams with cylindrical and linear polarization

Comparative performance evaluation of classical methods and a deep learning approach for temperature prediction in fiber optic specklegram sensors

Using a multimode fiber to improve data transfer rates

Model of light bullet propagation in LiF crystal