E. Carolo, D. Vassallo, J. Farinato, G. Agapito, M. Bergomi, A. Carlotti, M. D. Pascale, V. D’Orazi, D. Greggio, D. Magrin, L. Marafatto, D. Mesa, E. Pinna, A. Puglisi, M. Stangalini, C. Vérinaud, V. Viotto, F. Biondi, S. Chinellato, M. Dima, S. Esposito, F. Pedichini, E. Portaluri, R. Ragazzoni, G. Umbriaco
{"title":"SHARK-NIR模拟数据的数据处理。","authors":"E. Carolo, D. Vassallo, J. Farinato, G. Agapito, M. Bergomi, A. Carlotti, M. D. Pascale, V. D’Orazi, D. Greggio, D. Magrin, L. Marafatto, D. Mesa, E. Pinna, A. Puglisi, M. Stangalini, C. Vérinaud, V. Viotto, F. Biondi, S. Chinellato, M. Dima, S. Esposito, F. Pedichini, E. Portaluri, R. Ragazzoni, G. Umbriaco","doi":"10.26698/AO4ELT5.0068","DOIUrl":null,"url":null,"abstract":"A robust post processing technique is mandatory to analyse the coronagraphic high contrast imaging data. Angular Differential Imaging (ADI) and Principal Component Analysis (PCA) are the most used approaches to suppress the quasi-static structure in the Point Spread Function (PSF) in order to revealing planets at different separations from the host star. The focus of this work is to apply these two data reduction techniques to obtain the best limit detection for each coronagraphic setting that has been simulated for the SHARK-NIR, a coronagraphic camera that will be implemented at the Large Binocular Telescope (LBT). We investigated different seeing conditions ($0.4\"-1\"$) for stellar magnitude ranging from R=6 to R=14, with particular care in finding the best compromise between quasi-static speckle subtraction and planet detection.","PeriodicalId":8428,"journal":{"name":"arXiv: Earth and Planetary Astrophysics","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data processing on simulated data for SHARK-NIR.\",\"authors\":\"E. Carolo, D. Vassallo, J. Farinato, G. Agapito, M. Bergomi, A. Carlotti, M. D. Pascale, V. D’Orazi, D. Greggio, D. Magrin, L. Marafatto, D. Mesa, E. Pinna, A. Puglisi, M. Stangalini, C. Vérinaud, V. Viotto, F. Biondi, S. Chinellato, M. Dima, S. Esposito, F. Pedichini, E. Portaluri, R. Ragazzoni, G. Umbriaco\",\"doi\":\"10.26698/AO4ELT5.0068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robust post processing technique is mandatory to analyse the coronagraphic high contrast imaging data. Angular Differential Imaging (ADI) and Principal Component Analysis (PCA) are the most used approaches to suppress the quasi-static structure in the Point Spread Function (PSF) in order to revealing planets at different separations from the host star. The focus of this work is to apply these two data reduction techniques to obtain the best limit detection for each coronagraphic setting that has been simulated for the SHARK-NIR, a coronagraphic camera that will be implemented at the Large Binocular Telescope (LBT). We investigated different seeing conditions ($0.4\\\"-1\\\"$) for stellar magnitude ranging from R=6 to R=14, with particular care in finding the best compromise between quasi-static speckle subtraction and planet detection.\",\"PeriodicalId\":8428,\"journal\":{\"name\":\"arXiv: Earth and Planetary Astrophysics\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv: Earth and Planetary Astrophysics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26698/AO4ELT5.0068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Earth and Planetary Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26698/AO4ELT5.0068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robust post processing technique is mandatory to analyse the coronagraphic high contrast imaging data. Angular Differential Imaging (ADI) and Principal Component Analysis (PCA) are the most used approaches to suppress the quasi-static structure in the Point Spread Function (PSF) in order to revealing planets at different separations from the host star. The focus of this work is to apply these two data reduction techniques to obtain the best limit detection for each coronagraphic setting that has been simulated for the SHARK-NIR, a coronagraphic camera that will be implemented at the Large Binocular Telescope (LBT). We investigated different seeing conditions ($0.4"-1"$) for stellar magnitude ranging from R=6 to R=14, with particular care in finding the best compromise between quasi-static speckle subtraction and planet detection.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
