{"title":"用零碰撞反蒙特卡罗法反演陶瓷的光谱性质","authors":"Zeyu Zhu, H. Qi, Baohai Gao, Kefu Li, Juqi Zhang, Zhitian Niu","doi":"10.1109/CCPQT56151.2022.00075","DOIUrl":null,"url":null,"abstract":"Ceramic is widely used in solar collectors because of its high absorption to the solar radiation. As the performance of ceramic is mainly decided by its optical properties, this work proposes an inverse model with the combination of the null-collision reverse Monte Carlo method (NC-RMC) and the covariance matrix adaptation evolution strategy (CMA-ES) to obtain the spectral optical properties of ceramic. A multi-angle model is introduced to handle the ill-posedness of the inverse problem. Numerical experiments are operated to investigate the inverse algorithm whose results show that the proposed inverse model is can provide an accurate solution to retrieving the optical properties of ceramic.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Inverse Estimation of the Spectral Properties of Ceramic with the Null-collision Reverse Monte Carlo\",\"authors\":\"Zeyu Zhu, H. Qi, Baohai Gao, Kefu Li, Juqi Zhang, Zhitian Niu\",\"doi\":\"10.1109/CCPQT56151.2022.00075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ceramic is widely used in solar collectors because of its high absorption to the solar radiation. As the performance of ceramic is mainly decided by its optical properties, this work proposes an inverse model with the combination of the null-collision reverse Monte Carlo method (NC-RMC) and the covariance matrix adaptation evolution strategy (CMA-ES) to obtain the spectral optical properties of ceramic. A multi-angle model is introduced to handle the ill-posedness of the inverse problem. Numerical experiments are operated to investigate the inverse algorithm whose results show that the proposed inverse model is can provide an accurate solution to retrieving the optical properties of ceramic.\",\"PeriodicalId\":235893,\"journal\":{\"name\":\"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPQT56151.2022.00075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPQT56151.2022.00075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Inverse Estimation of the Spectral Properties of Ceramic with the Null-collision Reverse Monte Carlo
Ceramic is widely used in solar collectors because of its high absorption to the solar radiation. As the performance of ceramic is mainly decided by its optical properties, this work proposes an inverse model with the combination of the null-collision reverse Monte Carlo method (NC-RMC) and the covariance matrix adaptation evolution strategy (CMA-ES) to obtain the spectral optical properties of ceramic. A multi-angle model is introduced to handle the ill-posedness of the inverse problem. Numerical experiments are operated to investigate the inverse algorithm whose results show that the proposed inverse model is can provide an accurate solution to retrieving the optical properties of ceramic.