Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/28529
Title: | Data processing on simulated data for SHARK-NIR | Authors: | CAROLO, ELENA Vassallo, Daniele FARINATO, JACOPO AGAPITO, GUIDO BERGOMI, Maria Carlotti, A. DE PASCALE, Marco D'ORAZI, VALENTINA GREGGIO, DAVIDE MAGRIN, DEMETRIO MARAFATTO, Luca MESA, DINO PINNA, Enrico PUGLISI, Alfio Timothy STANGALINI, MARCO Verinaud, C. VIOTTO, VALENTINA BIONDI, FEDERICO CHINELLATO, SIMONETTA DIMA, MARCO ESPOSITO, Simone PEDICHINI, Fernando PORTALURI, ELISA RAGAZZONI, Roberto Umbriaco, G. |
Issue Date: | 2018 | Volume: | Adaptive Optics for Extremely Large Telescopes V (AO4ELT5) | First Page: | 1808.03121 | 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. | Conference Name: | Adaptive Optics for Extremely Large Telescopes V (AO4ELT5) | Conference Place: | Tenerife, Canary Islands, Spain | Conference Date: | 25-30 June, 2017 | URI: | http://hdl.handle.net/20.500.12386/28529 | URL: | http://research.iac.es/congreso/AO4ELT5/pages/proceedings.html | Bibcode ADS: | 2018arXiv180803121C | Fulltext: | open |
Appears in Collections: | 3.01 Contributi in Atti di convegno |
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1808.03121.pdf | Pdf editoriale | 3.26 MB | Adobe PDF | View/Open |
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