A comparison between different coronagraphic data reduction techniques
Date Issued
2016
Author(s)
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Bonavita, M.
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Carlotti, A.
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Verinaud, C.
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Abstract
A robust post processing technique is mandatory for analysing 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 presents in the Point Spread Function (PSF) for revealing planets at different separations from the host star. In this work, we present the comparison between ADI and PCA applied to System of coronagraphy with High order Adaptive optics from R to K band (SHARK-NIR), which will be implemented at Large Binocular Telescope (LBT). The comparison has been carried out by using as starting point the simulated wavefront residuals of the LBT Adaptive Optics (AO) system, in different observing conditions. Accurate tests for tuning the post processing parameters to obtain the best performance from each technique were performed in various seeing conditions (0:4"-1") for star magnitude ranging from 8 to 12, with particular care in finding the best compromise between quasi static speckle subtraction and planets detection.
Coverage
Adaptive Optics Systems V
All editors
Marchetti, Enrico; Close, Laird M.; Véran, Jean-Pierre
Series
Volume
9909
Start page
99097Q
Conferenece
Adaptive Optics Systems V
Conferenece place
Edinburgh, United Kingdom
Conferenece date
26 June - 1 July 2016
Issn Identifier
0277-786X
Ads BibCode
2016SPIE.9909E..7QC
Rights
open.access
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