{"title":"Modeling of pulse compressors using Kostenbauder matrices","authors":"V. Chauhan, Jacob Cohen, R. Trebino","doi":"10.1109/NUSOD.2010.5595640","DOIUrl":null,"url":null,"abstract":"In this paper we present a method for modeling ultrashort-laser-pulse compressors/stretchers using Kostenbauder matrices. In this method, a Gaussian pulse is represented by a 2×2 complex Q-matrix and an optical element is represented by a 4×4 real K-matrix. This formalism models pulse compressors and performs full spatio-temporal analysis. Additionally, this formalism allows for uncertainty and sensitivity analyses of the compressors/stretchers. While being simple to implement numerically, this method is computationally much faster than the other equivalent approaches, such as use of Wigner matrices and Wigner functions.","PeriodicalId":6780,"journal":{"name":"2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)","volume":"39 1","pages":"115-116"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUSOD.2010.5595640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we present a method for modeling ultrashort-laser-pulse compressors/stretchers using Kostenbauder matrices. In this method, a Gaussian pulse is represented by a 2×2 complex Q-matrix and an optical element is represented by a 4×4 real K-matrix. This formalism models pulse compressors and performs full spatio-temporal analysis. Additionally, this formalism allows for uncertainty and sensitivity analyses of the compressors/stretchers. While being simple to implement numerically, this method is computationally much faster than the other equivalent approaches, such as use of Wigner matrices and Wigner functions.