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Testing Optimized Principal Component Analysis on Coronagraphic Images of the Fomalhaut System

Published online by Cambridge University Press:  06 January 2014

Tiffany Meshkat ,
Matthew Kenworthy ,
Sascha P. Quanz  and
Adam Amara
Tiffany Meshkat
Affiliation:
Sterrewacht Leiden, P.O. Box 9513, Niels Bohrweg 2, 2300 RA Leiden, The Netherlands email: meshkat@strw.leidenuniv.nl
Matthew Kenworthy
Affiliation:
Sterrewacht Leiden, P.O. Box 9513, Niels Bohrweg 2, 2300 RA Leiden, The Netherlands email: meshkat@strw.leidenuniv.nl
Sascha P. Quanz
Affiliation:
Institute for Astronomy, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland
Adam Amara
Affiliation:
Institute for Astronomy, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland
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Abstract

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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.

Keywords

planets and satellites: detection – data analysis techniques: image processingPCALOCI – stars: individual (Fomalhaut)

References

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