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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: [email protected]
Matthew Kenworthy
Affiliation:
Sterrewacht Leiden, P.O. Box 9513, Niels Bohrweg 2, 2300 RA Leiden, The Netherlands email: [email protected]
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)
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 8 , Symposium S299: Exploring the Formation and Evolution of Planetary Systems , June 2013 , pp. 56 - 57
Copyright
Copyright © International Astronomical Union 2013 

References

Kalas, P., Graham, J. R., Chiang, E., Fitzgerald, M. P., Clampin, M., Kite, E. S., Stapelfeldt, K., Marois, C., & Krist, J. 2013, Sci, 322, 1345KCrossRefGoogle Scholar
Kenworthy, M. A., Meshkat, T., Quanz, S. P., Girard, J. H., Meyer, M. R., & Kasper, M. 2013, ApJ, 764, 7KGoogle Scholar
Kenworthy, M. A., Quanz, S. P., Meyer, M. R., Kasper, M. E., Lenzen, R., Codona, J. L., Girard, J. H., & Hinz, P. M. 2010, SPIE, 7735E, 103KGoogle Scholar
Lenzen, R., Hartung, M., Brandner, W., Finger, G., Hubin, N. N., Lacombe, F., Lagrange, A.-M., Lehnert, M. D., Moorwood, A. F. M., & Mouillet, D. 2003, SPIE, 4841, 944LGoogle Scholar
Marois, C., Lafrenière, D., Doyon, R., Macintosh, B., & Nadeau, D. 2006, ApJ, 641, 556MGoogle Scholar
Rousset, G., Lacombe, F., Puget, P., Hubin, N. N., Gendron, E., Fusco, T., Arsenault, R., Charton, J., Feautrier, P., Gigan, P., Kern, P. Y., Lagrange, A.-M., Madec, P.-Y., Mouillet, D., Rabaud, D., Rabou, P., Stadler, E., & Zins, G. 2003, SPIE, 4839, 140RGoogle Scholar
Quanz, S. P., Meyer, M. R., Kenworthy, M. A., Girard, J. H. V., Kasper, M., Lagrange, A.-M., Apai, D., Boccaletti, A., Bonnefoy, M., Chauvin, G., Hinz, P. M., & Lenzen, R. 2010, ApJ, 722L, 49QCrossRefGoogle Scholar