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TLOCI: A Fully Loaded Speckle Killing Machine

Published online by Cambridge University Press:  06 January 2014

Christian Marois
Affiliation:
National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada email: christian.marois@nrc-cnrc.gc.ca
Carlos Correia
Affiliation:
National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada email: christian.marois@nrc-cnrc.gc.ca Centre for Astrophysics of the University of Porto, Rua das Estrelas 4150-762 Porto, Portugal
Jean-Pierre Véran
Affiliation:
National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada email: christian.marois@nrc-cnrc.gc.ca
Thayne Currie
Affiliation:
Dept. of Physics and Astronomy, University of Toronto
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Abstract

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A new high-contrast imaging subtraction algorithm (TLOCI) is presented to maximize a planet signal-to-noise ratio. The technique uses an input spectrum and template PSFs to optimize the reference image coefficient determination to minimize the flux contamination via self-subtraction (thus maximizing its throughput wavelength per wavelength) of any planet that have a similar spectrum to the template spectrum in the image, while trying, at the same time, to maximize the speckle noise subtraction. The optimization is performed by a correlation matrix conditioning. Using laboratory Gemini Planet Imager data, the new algorithm is shown to be superior to the simple/double difference, polynomial fit and original LOCI algorithm.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013 

References

Lafrenière, D., et al., 2007, ApJ, 660, 770CrossRefGoogle Scholar
Macintosh, B., et al., 2008, Proceedings of the SPIE, 7015, 701518CrossRefGoogle Scholar
Maire, J., et al., 2012, Proceedings of the SPIE, 7735, 773531CrossRefGoogle Scholar
Marois, C., et al., 2000, PASP, 112, 91CrossRefGoogle Scholar
Marois, C., et al., 2006, ApJ, 641, 556Google Scholar
Pueyo, L., et al., 2012, ApJS, 199, 6Google Scholar
Sparks, W. & Ford, H., 2002, ApJ, 578, 543CrossRefGoogle Scholar