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Evolution of Structured Laguerre–Gaussian Beam States on the Orbital Poincaré Sphere under General Astigmatic Transformation 一般像散变换下轨道poincar<s:1>球上结构拉盖尔-高斯光束态的演化
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-02-27 DOI: 10.3103/S1060992X25602271
M. V. Bretsko, S. I. Khalilov, Ya. E. Akimova, S. I. Yakubov, D. V. Maksimov
{"title":"Evolution of Structured Laguerre–Gaussian Beam States on the Orbital Poincaré Sphere under General Astigmatic Transformation","authors":"M. V. Bretsko,&nbsp;S. I. Khalilov,&nbsp;Ya. E. Akimova,&nbsp;S. I. Yakubov,&nbsp;D. V. Maksimov","doi":"10.3103/S1060992X25602271","DOIUrl":"10.3103/S1060992X25602271","url":null,"abstract":"<p>In this work, we investigate the trajectories of Laguerre–Gaussian beam states on the Poincaré sphere under general astigmatic transformation. It is shown that rotating the cylindrical lens shifts the trajectory into a plane perpendicular to the sphere’s axis, resulting in a precessional motion that depends on the rotate angle and the beam’s orbital angular momentum. The results are useful for analyzing and controlling the phase properties of light in optical systems.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"S442 - S449"},"PeriodicalIF":0.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study of the Longitudinal Component of the Poynting Vector of Hybrid-Polarized Optical Vortices 混合偏振光涡旋坡印亭矢量纵向分量的研究
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-02-27 DOI: 10.3103/S1060992X25602969
V. D. Zaitsev, S. S. Stafeev, V. V. Kotlyar
{"title":"Study of the Longitudinal Component of the Poynting Vector of Hybrid-Polarized Optical Vortices","authors":"V. D. Zaitsev,&nbsp;S. S. Stafeev,&nbsp;V. V. Kotlyar","doi":"10.3103/S1060992X25602969","DOIUrl":"10.3103/S1060992X25602969","url":null,"abstract":"<p>In this paper, we study the sharp focusing of hybrid-polarized optical vortices using the Richards-Wolf formalism. The defining feature of these beams is a polarization state that combines azimuthal and circular properties—in the cross section of such a beam, depending on the azimuthal angle, the polarization changes from circular to azimuthal and back to circular. It is demonstrated theoretically and numerically that, although the total intensity forms a symmetric ring, the longitudinal component of the Poynting vector (<i>P</i><sub><i>z</i></sub>) exhibits a pronounced azimuthal asymmetry, indicating an asymmetric energy flow in the focal region. Central symmetry in the energy flux is a direct consequence of the hybrid polarization under sharp focusing, contrasting sharply with symmetric <i>P</i><sub><i>z</i></sub> distributions of uniformly or cylindrically polarized vortices.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"S493 - S503"},"PeriodicalIF":0.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Axicons: an Overview of Types and Applications axicon：类型和应用概述
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-02-27 DOI: 10.3103/S1060992X25602830
V. A. Danilov
{"title":"Axicons: an Overview of Types and Applications","authors":"V. A. Danilov","doi":"10.3103/S1060992X25602830","DOIUrl":"10.3103/S1060992X25602830","url":null,"abstract":"<p>To date, many different types and modifications of axicons (refractive, diffractive, micro- and meta-axicons) have been proposed, providing a wide range of functionality from generating laser beams extended along the optical axis to forming vortex and annular beams. This diversity of axicons arose with the development of existing and new approaches to calculating optical elements in response to the expansion of their application areas in optical manipulation, tight focusing, polarization transforming, materials processing, plasma channel formation, optical imaging, optical microscopy, and others. This review is devoted to a brief discussion of the various types of modern axicons and their applications.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"S522 - S542"},"PeriodicalIF":0.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Alignment Errors Based on the Diffraction Pattern of Laser Radiation on Micro-Axicons Using a Convolutional Neural Network 基于微轴上激光衍射图的准直误差卷积神经网络分析
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-02-27 DOI: 10.3103/S1060992X25602386
R. I. Kashapov
{"title":"Analysis of Alignment Errors Based on the Diffraction Pattern of Laser Radiation on Micro-Axicons Using a Convolutional Neural Network","authors":"R. I. Kashapov","doi":"10.3103/S1060992X25602386","DOIUrl":"10.3103/S1060992X25602386","url":null,"abstract":"<p>This work presents the development of software for analyzing data obtained from simulations of laser radiation diffraction on micro-axicons, considering alignment errors such as displacement and tilt of the optical element relative to the incident beam. When modeling the axicon as a thin optical element, the tilt was simulated by introducing wavefront aberrations into the incident beam, specifically astigmatism and coma. A convolutional neural network was developed and trained to classify the resulting diffraction patterns, demonstrating high accuracy in identifying the type of aberration. The trained model achieved recognition accuracies of 100, 97.9, and 95.9% in three separate experiments. These experiments differed in the type of input data provided to the neural network: only intensity distributions, intensity combined with phase information, and intensity with defocused images, respectively. The results demonstrate that incorporating phase or additional spatial information significantly improves classification accuracy compared to intensity-only data. Even in the least accurate case (95.9%), the model shows strong generalization ability, making the proposed approach suitable for practical applications in optical diagnostics.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"S429 - S441"},"PeriodicalIF":0.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Deterministic Optimization Methods for the Design Photonic Crystal Waveguide Fragments with Bends 确定性优化方法在设计弯曲光子晶体波导碎片中的应用
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-02-27 DOI: 10.3103/S1060992X25602301
Yu. Yu. Krivosheeva, E. S. Biryukov, D. L. Golovashkin, V. S. Pavelyev
{"title":"Application of Deterministic Optimization Methods for the Design Photonic Crystal Waveguide Fragments with Bends","authors":"Yu. Yu. Krivosheeva,&nbsp;E. S. Biryukov,&nbsp;D. L. Golovashkin,&nbsp;V. S. Pavelyev","doi":"10.3103/S1060992X25602301","DOIUrl":"10.3103/S1060992X25602301","url":null,"abstract":"<p>Various bends type of photonic crystal waveguides (by 120°, 60° and 45°) is designed in this paper using various deterministic optimization methods (coordinate descent method, Hook-Jeeves method and gradient descent). Application of zero-order optimization methods (coordinate descent and Hook-Jeeves) to bends by 120°, 60° on a crystal with a hexagonal lattice and air holes in the silicon layer made it possible to reduce the computation time by an average of 16 times compared to the genetic algorithm. The application of gradient descent to the design of a 45° bend on a crystal with a square lattice and silicon rods in air made it possible to achieve an increase in efficiency from 10 to 99%, and the number of calls to the target function during the algorithm’s operation is significantly lower compared to the genetic algorithm. Particular attention is paid to the consideration of the “partial search” method. Using the example of a photonic crystal waveguide bending by 120°, it is shown that the element designed by this method is characterized by radiation transmission practically without losses, while the computational complexity of the calculation is 1.5 times less than that of the genetic algorithm.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"S377 - S384"},"PeriodicalIF":0.8,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spectral Criterion for Estimating the Relative Camera Pose 相对相机姿态估计的光谱准则
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-01-26 DOI: 10.3103/S1060992X25602696
Ye. V. Goshin
{"title":"Spectral Criterion for Estimating the Relative Camera Pose","authors":"Ye. V. Goshin","doi":"10.3103/S1060992X25602696","DOIUrl":"10.3103/S1060992X25602696","url":null,"abstract":"<p>A method for estimating the relative position and orientation of a camera from corresponding image points is presented, in which the translation is eliminated from the optimization while the rotation is estimated using a spectral criterion based on the consistency of epipolar plane normals. For each point pair, a symmetric rank-1 matrix is constructed from the cross product of normalized bearing directions, and the smallest eigenvalue of the sum of these matrices is minimized over <i>R</i> ∈ <i>SO</i>(3). The translation direction is then recovered as the eigenvector associated with the minimal eigenvalue. A smooth approximation to the smallest eigenvalue via the log-sum-exp function is introduced, and iterative robust weights are employed. The implementation relies on automatic differentiation. Experiments on real data confirm the high reliability of the estimates.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 2","pages":"S369 - S375"},"PeriodicalIF":0.8,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ray Tracing through Complex Surfaces in Kompas-3D CAD and Experimental Validation Kompas-3D CAD中复杂表面的光线追踪及实验验证
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-01-26 DOI: 10.3103/S1060992X25602453
S. Silifonkin, S. A. Degtyarev, N. A. Ivliev
{"title":"Ray Tracing through Complex Surfaces in Kompas-3D CAD and Experimental Validation","authors":"S. Silifonkin,&nbsp;S. A. Degtyarev,&nbsp;N. A. Ivliev","doi":"10.3103/S1060992X25602453","DOIUrl":"10.3103/S1060992X25602453","url":null,"abstract":"<p>This paper demonstrates the use of the API of the Kompas-3D CAD system to access the capabilities of its geometric kernel, which enable ray tracing through surfaces and components of complex shapes. To demonstrate the application potential of the developed algorithm, a simulation of a Newtonian mirror system was performed. To validate the accuracy of the simulation, an experimental setup was assembled. The results of both the computational analysis and the experiment are presented. For the purpose of simplifying the modeling, it was assumed that the patterns observed through the mirror system were self-luminous sources. The capability of the assembled mirror configuration to operate in conjunction with a thermal imager was investigated. Thus, the assembled mirror system demonstrated linear magnification of the radiating light source’s image without a significant loss of contrast.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 2","pages":"S333 - S345"},"PeriodicalIF":0.8,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a Model for Predicting the Load on a Steam Boiler of a Thermal Power Plant 火电厂蒸汽锅炉负荷预测模型的建立
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-01-26 DOI: 10.3103/S1060992X25602465
N. D. Gladilin, V. V. Sherkunov, D. A. Generalov, V. N. Kovalnogov
{"title":"Development of a Model for Predicting the Load on a Steam Boiler of a Thermal Power Plant","authors":"N. D. Gladilin,&nbsp;V. V. Sherkunov,&nbsp;D. A. Generalov,&nbsp;V. N. Kovalnogov","doi":"10.3103/S1060992X25602465","DOIUrl":"10.3103/S1060992X25602465","url":null,"abstract":"<p>Modern combined heat and power (CHP) plants are one of the main sources of energy and thermal resources for the private and industrial sectors. They are also a source of a large amount of data, which is sufficient for the application of machine learning methods. For accurate optimization of power equipment, it is necessary to predict the generated power to ensure sufficient electrical and thermal energy. This study develops an LSTM-based forecasting model. The model is trained on a time series collected from a combined heat and power (CHP) plant over 15 months of operation. Compared with a gradient-boosting model, the LSTM achieves higher accuracy across regression metrics. The developed model can serve as a component of decision-support systems and for subsequent optimization of equipment operation at power stations, thereby improving overall plant efficiency.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 2","pages":"S185 - S195"},"PeriodicalIF":0.8,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optical Properties of Guided-Mode Resonant Gratings with Convex or Concave Waveguide Layer 凹凸波导层导模谐振光栅的光学特性
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-01-26 DOI: 10.3103/S1060992X25602192
D. A. Bykov, E. A. Bezus, L. L. Doskolovich
{"title":"Optical Properties of Guided-Mode Resonant Gratings with Convex or Concave Waveguide Layer","authors":"D. A. Bykov,&nbsp;E. A. Bezus,&nbsp;L. L. Doskolovich","doi":"10.3103/S1060992X25602192","DOIUrl":"10.3103/S1060992X25602192","url":null,"abstract":"<p>We investigate the optical properties of guided-mode resonant gratings with the thickness of the waveguide layer spatially varying according to a parabolic law. We show that an efficient approach for describing such structures is the coupled-mode theory (CMT) with varying parameters. The CMT simulations are quite fast and its predictions turn out to be in a good agreement with time-consuming rigorous simulations based on the aperiodic Fourier modal method. We demonstrate that the optical properties of gratings with convex and concave waveguide layers are quite different, which is explained in terms of the local photonic band gap of the considered structures. In our opinion, the obtained results are promising for the design of optical filters and resonators based on quasiperiodic photonic structures with nonlinearly varying parameters.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 2","pages":"S259 - S265"},"PeriodicalIF":0.8,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison of the Efficiency of Using a Convolutional Neural Network for Analyzing Wave Aberrations Based on the Diffraction Pattern on Linear and Binary Axicons 基于线性和二元轴上衍射图的卷积神经网络分析波像差的效率比较
IF 0.8
Optical Memory and Neural Networks Pub Date : 2026-01-26 DOI: 10.3103/S1060992X25602441
D. P. Serafimovich, P. A. Khorin
{"title":"Comparison of the Efficiency of Using a Convolutional Neural Network for Analyzing Wave Aberrations Based on the Diffraction Pattern on Linear and Binary Axicons","authors":"D. P. Serafimovich,&nbsp;P. A. Khorin","doi":"10.3103/S1060992X25602441","DOIUrl":"10.3103/S1060992X25602441","url":null,"abstract":"<p>The comparative efficiency of wave aberration recognition using a convolutional neural network (CNN) with the VGG architecture based on diffraction patterns on linear and binary axicons is investigated. A dataset of 90 000 images was calculated for training the CNN, in which diffraction patterns on two types of axicons in the focal plane were simulated for each of the selected 8 types of aberrations. Based on CNN training in 40 epochs, it was shown that the achieved average absolute error in recognizing aberrations using a binary axicon does not exceed 0.0138, which is significantly less than for a linear axicon (0.193).</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 2","pages":"S230 - S242"},"PeriodicalIF":0.8,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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