{"title":"Collective light scattering and instantaneous fluid velocity measurement","authors":"C. Honoré , J.P. Bonnet , D. Grésillon , T. Ouzaa","doi":"10.1016/0021-9169(95)00135-2","DOIUrl":null,"url":null,"abstract":"<div><p>Collective Light Scattering (CLS) from gas density irregularities is analysed using electromagnetic theory and fluid mechanics. The scattered signal is shown to provide three decisive pieces of information.: (1) the signal frequency spectrum gives the Doppler shifted velocity probability distribution; (2) new processing of the modulus and phase spectra of the complex signal provides the velocity fluctuations frequency spectrum; (3) appropriate filtering of the signal phase time derivative provides the real time instantaneous convection velocity. This information is illustrated and extracted from CLS signals obtained in a turbulent mixing layer experiment.</p></div>","PeriodicalId":100754,"journal":{"name":"Journal of Atmospheric and Terrestrial Physics","volume":"58 8","pages":"Pages 1025-1032"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0021-9169(95)00135-2","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Atmospheric and Terrestrial Physics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0021916995001352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Collective Light Scattering (CLS) from gas density irregularities is analysed using electromagnetic theory and fluid mechanics. The scattered signal is shown to provide three decisive pieces of information.: (1) the signal frequency spectrum gives the Doppler shifted velocity probability distribution; (2) new processing of the modulus and phase spectra of the complex signal provides the velocity fluctuations frequency spectrum; (3) appropriate filtering of the signal phase time derivative provides the real time instantaneous convection velocity. This information is illustrated and extracted from CLS signals obtained in a turbulent mixing layer experiment.