TLOCI: a fully loaded speckle killing machine

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DOIResolve DOI: http://doi.org/10.1017/S1743921313007813
AuthorSearch for: ; Search for: ; Search for: ; Search for:
TypeArticle
Proceedings titleExploring the Formation and Evolution of Planetary Systems
Series titleProceedings of the International Astronomical Union; Volume 8
ConferenceInternational Astronomical Union Symposium 299: Exploring the Formation of Planetary Systems, June 2-7, 2013, Victoria, British Columbia, Canada
ISSN1743-9213
1743-9221
ISBN9781107045200
Pages4849; # of pages: 2
Subjectstars: imaging; instrumentation: adaptive optics; methods: data analysis; techniques: image processing; (stars:) planetary systems
AbstractA 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. Copyright © 2013, International Astronomical Union.
Publication date
PublisherCambridge University Press
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC)
Peer reviewedYes
NPARC number21270789
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Record identifier2cb58b7c-f88d-42ce-a83c-a5a7d5bf1eaf
Record created2014-02-17
Record modified2017-06-02
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