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Title:
TLOCI: A Fully Loaded Speckle Killing Machine
Authors:
Marois, Christian; Correia, Carlos; Véran, Jean-Pierre; Currie, Thayne
Affiliation:
AA(National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada ), AB(National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada ), AC(National Research Council of Canada, Dominion Astrophysical Observatory 5071 West Saanich Rd, Victoria, BC, V9E 2E7, Canada ), AD(Dept. of Physics and Astronomy, University of Toronto)
Publication:
Exploring the Formation and Evolution of Planetary Systems, Proceedings of the International Astronomical Union, IAU Symposium, Volume 299, pp. 48-49
Publication Date:
01/2014
Origin:
CUP
Keywords:
stars: imaging, instrumentation: adaptive optics, methods: data analysis, techniques: image processing, (stars:) planetary systems,
Abstract Copyright:
(c) 2014: Copyright © International Astronomical Union 2013
DOI:
10.1017/S1743921313007813
Bibliographic Code:
2014IAUS..299...48M

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.

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