E. A. Bogach, E. V. Adamov, V. V. Dudorov, V. V. Kolosov
{"title":"Features of intensity distributions of vortex beams in a refractive medium that characterize the sign of the orbital angular momentum","authors":"E. A. Bogach, E. V. Adamov, V. V. Dudorov, V. V. Kolosov","doi":"10.1007/s11182-025-03516-x","DOIUrl":null,"url":null,"abstract":"<div><p>In atmospheric optical communication channels, vortex beams transmitting information through the orbital angular momentum (OAM), are associated with the turbulent atmosphere. While propagating in a turbulent atmosphere, the transmitting laser beam undergoes a random phase distortion leading to errors in the OAM decoding and a decrease in the data transfer rate. In the last years, neural networks have been actively used for the OAM decoding in the turbulent atmosphere. The most common approach is to recognize the OAM specified in the initial plane from the turbulence-distorted instantaneous intensity distribution in the receiving plane. This approach allows mitigating the turbulence effect. Our recent work demonstrates a recognition of opposite-sign OAMs using this approach. It is previously assumed that the OAM sign cannot be retrieved from the instantaneous intensity distribution. This paper analyzes features of intensity distributions of vortex beams in a regular refractive medium that characterizes the OAM sign. It is suggested that the revealed features allow neural networks to determine opposite-sign OAMs through the instantaneous intensity distribution in the turbulent atmosphere.</p></div>","PeriodicalId":770,"journal":{"name":"Russian Physics Journal","volume":"68 7","pages":"966 - 971"},"PeriodicalIF":0.4000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Physics Journal","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s11182-025-03516-x","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In atmospheric optical communication channels, vortex beams transmitting information through the orbital angular momentum (OAM), are associated with the turbulent atmosphere. While propagating in a turbulent atmosphere, the transmitting laser beam undergoes a random phase distortion leading to errors in the OAM decoding and a decrease in the data transfer rate. In the last years, neural networks have been actively used for the OAM decoding in the turbulent atmosphere. The most common approach is to recognize the OAM specified in the initial plane from the turbulence-distorted instantaneous intensity distribution in the receiving plane. This approach allows mitigating the turbulence effect. Our recent work demonstrates a recognition of opposite-sign OAMs using this approach. It is previously assumed that the OAM sign cannot be retrieved from the instantaneous intensity distribution. This paper analyzes features of intensity distributions of vortex beams in a regular refractive medium that characterizes the OAM sign. It is suggested that the revealed features allow neural networks to determine opposite-sign OAMs through the instantaneous intensity distribution in the turbulent atmosphere.
期刊介绍:
Russian Physics Journal covers the broad spectrum of specialized research in applied physics, with emphasis on work with practical applications in solid-state physics, optics, and magnetism. Particularly interesting results are reported in connection with: electroluminescence and crystal phospors; semiconductors; phase transformations in solids; superconductivity; properties of thin films; and magnetomechanical phenomena.