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Title:
Testing Optimized Principal Component Analysis on Coronagraphic Images of the Fomalhaut System
Authors:
Meshkat, Tiffany; Kenworthy, Matthew; Quanz, Sascha P.; Amara, Adam
Affiliation:
AA(Sterrewacht Leiden, P.O. Box 9513, Niels Bohrweg 2, 2300 RA Leiden, The Netherlands ), AB(Sterrewacht Leiden, P.O. Box 9513, Niels Bohrweg 2, 2300 RA Leiden, The Netherlands ), AC(Institute for Astronomy, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland), AD(Institute for Astronomy, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland)
Publication:
Exploring the Formation and Evolution of Planetary Systems, Proceedings of the International Astronomical Union, IAU Symposium, Volume 299, pp. 56-57
Publication Date:
01/2014
Origin:
CUP
Keywords:
planets and satellites: detection, data analysis techniques: image processing, PCA, LOCI, stars: individual (Fomalhaut),
Abstract Copyright:
(c) 2014: Copyright © International Astronomical Union 2013
DOI:
10.1017/S1743921313007850
Bibliographic Code:
2014IAUS..299...56M

Abstract

We present the results of a study to optimize the principal component analysis (PCA) algorithm for planet detection, a new algorithm complementing ADI and LOCI for increasing the contrast achievable next to a bright star. We apply PCA to our Fomalhaut VLT NACO Apodizing Phase Plate NB4.05 data.

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