Speaker
Elena Carolo
Description
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.
Author
Elena Carolo
