TLOCI: A Fully Loaded Speckle Killing Machine

C. Marois, C. M. Correia, J.-P. Véran, T. Currie

Abstract
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.

Exploring the Formation and Evolution of Planetary Systems
(Eds.) M. Booth, B. C. Matthews, J. R. Graham

Cambridge University Press
Vol. 299, Page 48
2014

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