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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: [email protected]
Carlos Correia
Affiliation:
National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada email: [email protected] 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: [email protected]
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 

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