Y. Ben-Ali, Y. Errouas, I. El Kadmiri, Z. Rahou, A. Hallaoui, D. Bria
{"title":"基于一维星形波导缺陷系统缺陷模式的滤波器","authors":"Y. Ben-Ali, Y. Errouas, I. El Kadmiri, Z. Rahou, A. Hallaoui, D. Bria","doi":"10.3103/S1060992X23020029","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we present a theoretical study of the properties of defect modes in one-dimensional defective photonic star waveguides (SWGs). Both symmetrically and asymmetrically stacked defective SWGs are considered in the analysis. The properties of the defect modes are studied through the calculation of the frequency-dependent transmittance. We have also explored the effects of defect length and permittivity, as well as the position of the defect and the number of resonators grafted onto the SWGs on the number of defect modes, their transmission, and their quality factor. The findings demonstrate that geometric defects result in two modes of maximum transmission with a high-quality factor (<span>\\({{Q}_{1}} = 358\\)</span> and <span>\\({{Q}_{2}} = 1550\\)</span>). However, when there are both geometric and material defects, the quality factor of the second filter <span>\\({{Q}_{2}}\\)</span> improved from 1550 to 2203, while the quality factor of the first filter <span>\\({{Q}_{1}}\\)</span>remains almost unchanged. Moreover, when only material defects are present, two electromagnetic filters with maximum transmission and high-quality factor (<span>\\({{Q}_{1}} = 1708\\)</span> and <span>\\({{Q}_{2}} = 9085\\)</span>) can be obtained.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"32 2","pages":"108 - 125"},"PeriodicalIF":1.0000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Filters Based on Defect Modes by 1D Star Waveguides Defective System\",\"authors\":\"Y. Ben-Ali, Y. Errouas, I. El Kadmiri, Z. Rahou, A. Hallaoui, D. Bria\",\"doi\":\"10.3103/S1060992X23020029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this paper, we present a theoretical study of the properties of defect modes in one-dimensional defective photonic star waveguides (SWGs). Both symmetrically and asymmetrically stacked defective SWGs are considered in the analysis. The properties of the defect modes are studied through the calculation of the frequency-dependent transmittance. We have also explored the effects of defect length and permittivity, as well as the position of the defect and the number of resonators grafted onto the SWGs on the number of defect modes, their transmission, and their quality factor. The findings demonstrate that geometric defects result in two modes of maximum transmission with a high-quality factor (<span>\\\\({{Q}_{1}} = 358\\\\)</span> and <span>\\\\({{Q}_{2}} = 1550\\\\)</span>). However, when there are both geometric and material defects, the quality factor of the second filter <span>\\\\({{Q}_{2}}\\\\)</span> improved from 1550 to 2203, while the quality factor of the first filter <span>\\\\({{Q}_{1}}\\\\)</span>remains almost unchanged. Moreover, when only material defects are present, two electromagnetic filters with maximum transmission and high-quality factor (<span>\\\\({{Q}_{1}} = 1708\\\\)</span> and <span>\\\\({{Q}_{2}} = 9085\\\\)</span>) can be obtained.</p>\",\"PeriodicalId\":721,\"journal\":{\"name\":\"Optical Memory and Neural Networks\",\"volume\":\"32 2\",\"pages\":\"108 - 125\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Memory and Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S1060992X23020029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X23020029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
Filters Based on Defect Modes by 1D Star Waveguides Defective System
In this paper, we present a theoretical study of the properties of defect modes in one-dimensional defective photonic star waveguides (SWGs). Both symmetrically and asymmetrically stacked defective SWGs are considered in the analysis. The properties of the defect modes are studied through the calculation of the frequency-dependent transmittance. We have also explored the effects of defect length and permittivity, as well as the position of the defect and the number of resonators grafted onto the SWGs on the number of defect modes, their transmission, and their quality factor. The findings demonstrate that geometric defects result in two modes of maximum transmission with a high-quality factor (\({{Q}_{1}} = 358\) and \({{Q}_{2}} = 1550\)). However, when there are both geometric and material defects, the quality factor of the second filter \({{Q}_{2}}\) improved from 1550 to 2203, while the quality factor of the first filter \({{Q}_{1}}\)remains almost unchanged. Moreover, when only material defects are present, two electromagnetic filters with maximum transmission and high-quality factor (\({{Q}_{1}} = 1708\) and \({{Q}_{2}} = 9085\)) can be obtained.
期刊介绍:
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.