{"title":"气敏光热信号的激励周期优化","authors":"Ulrich Radeschnnig, B. Lang, A. Bergmann","doi":"10.1364/aio.2022.w1a.1","DOIUrl":null,"url":null,"abstract":"Photothermal spectroscopy is a promising technique for monitoring gas concentrations. We provide an approach to signal enhancement relying upon the ratio between excitation frequency and gas flow velocity. Our statements are supported experimentally and theoretically.","PeriodicalId":130317,"journal":{"name":"Applied Industrial Optics (AIO) 2022","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Excitation Period Optimization of Photothermal Signals for Gas Sensing\",\"authors\":\"Ulrich Radeschnnig, B. Lang, A. Bergmann\",\"doi\":\"10.1364/aio.2022.w1a.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Photothermal spectroscopy is a promising technique for monitoring gas concentrations. We provide an approach to signal enhancement relying upon the ratio between excitation frequency and gas flow velocity. Our statements are supported experimentally and theoretically.\",\"PeriodicalId\":130317,\"journal\":{\"name\":\"Applied Industrial Optics (AIO) 2022\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Industrial Optics (AIO) 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/aio.2022.w1a.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Industrial Optics (AIO) 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/aio.2022.w1a.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Excitation Period Optimization of Photothermal Signals for Gas Sensing
Photothermal spectroscopy is a promising technique for monitoring gas concentrations. We provide an approach to signal enhancement relying upon the ratio between excitation frequency and gas flow velocity. Our statements are supported experimentally and theoretically.
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