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Astrophysics > Earth and Planetary Astrophysics

arXiv:1808.03121 (astro-ph)
[Submitted on 9 Aug 2018]

Title:Data processing on simulated data for SHARK-NIR

Authors:E. Carolo, D. Vassallo, J. Farinato, G. Agapito, M. Bergomi, A. Carlotti, M. De Pascale, V. D'Orazi, D. Greggio, D. Magrin, L. Marafatto, D. Mesa, E. Pinna, A. Puglisi, M. Stangalini, C. Verinaud, V. Viotto, F. Biondi, S. Chinellato, M. Dima, S. Esposito, F. Pedichini, E. Portaluri, R. Ragazzoni, G. Umbriaco
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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.
Comments: 9 pages, 8 figures, proceeding for the fifth Adaptive Optics for Extremely Large Telescopes (AO4ELT5) meeting in 2017
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM)
Cite as: arXiv:1808.03121 [astro-ph.EP]
  (or arXiv:1808.03121v1 [astro-ph.EP] for this version)
  https://doi.org/10.48550/arXiv.1808.03121

Submission history

From: Elena Carolo [view email]
[v1] Thu, 9 Aug 2018 12:47:03 UTC (2,436 KB)
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