| DOI | Resolve DOI: https://doi.org/10.1017/S1743921313007813 |
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| Author | Search for: Marois, Christian1; Search for: Correia, Carlos1; Search for: Véran, Jean-Pierre1; Search for: Currie, Thayne |
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| Affiliation | - National Research Council of Canada
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| Format | Text, Article |
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| Conference | International Astronomical Union Symposium 299: Exploring the Formation of Planetary Systems, June 2-7, 2013, Victoria, British Columbia, Canada |
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| Subject | stars: imaging; instrumentation: adaptive optics; methods: data analysis; techniques: image processing; (stars:) planetary systems |
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| 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. Copyright © 2013, International Astronomical Union. |
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| Publication date | 2014-01-06 |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21270789 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 2cb58b7c-f88d-42ce-a83c-a5a7d5bf1eaf |
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| Record created | 2014-02-17 |
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| Record modified | 2020-04-22 |
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