| DOI | Trouver le DOI : https://doi.org/10.1017/S1743921313007813 |
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| Auteur | Rechercher : Marois, Christian1; Rechercher : Correia, Carlos1; Rechercher : Véran, Jean-Pierre1; Rechercher : Currie, Thayne |
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| Affiliation | - Conseil national de recherches du Canada
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| Format | Texte, Article |
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| Conférence | International Astronomical Union Symposium 299: Exploring the Formation of Planetary Systems, June 2-7, 2013, Victoria, British Columbia, Canada |
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| Sujet | stars: imaging; instrumentation: adaptive optics; methods: data analysis; techniques: image processing; (stars:) planetary systems |
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| Résumé | 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. Copyright © 2013, International Astronomical Union. |
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| Date de publication | 2014-01-06 |
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| Série | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 21270789 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 2cb58b7c-f88d-42ce-a83c-a5a7d5bf1eaf |
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| Enregistrement créé | 2014-02-17 |
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| Enregistrement modifié | 2020-04-22 |
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