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dc.contributor.authorDevaney, Nicholas
dc.contributor.authorThiebaut, Eric
dc.date.accessioned2018-09-20T16:05:55Z
dc.date.available2018-09-20T16:05:55Z
dc.date.issued2017-08-30
dc.identifier.citationDevaney, Nicholas; Thiebaut, Eric (2017). Pex 1. multi-spectral expansion of residual speckles for planet detection. Monthly Notices of the Royal Astronomical Society 472 (3), 3734-3748
dc.identifier.issn0035-8711,1365-2966
dc.identifier.urihttp://hdl.handle.net/10379/11172
dc.description.abstractThe detection of exoplanets in coronographic images is severely limited by residual starlight speckles. Dedicated post-processing can drastically reduce this 'stellar leakage' and thereby increase the faintness of detectable exoplanets. Based on a multispectral series expansion of the diffraction pattern, we derive a multimode model of the residuals which can be exploited to estimate and thus remove the residual speckles in multispectral coronographic images. Compared to other multispectral processing methods, our model is physically grounded and is suitable for use in an (optimal) inverse approach. We demonstrate the ability of our model to correctly estimate the speckles in simulated data and demonstrate that very high contrasts can be achieved. We further apply our method to removing speckle from a real data cube obtained with the SPHERE integral field spectrograph instrument.
dc.publisherOxford University Press (OUP)
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectmethods: data analysis
dc.subjecttechniques: image processing
dc.subjectplanets and satellites: detection
dc.subjectexoplanet detection
dc.subjectcompanions
dc.subjectcontrast
dc.subjectstars
dc.subjectnoise
dc.subjectimager
dc.subjectmass
dc.titlePex 1. multi-spectral expansion of residual speckles for planet detection
dc.typeArticle
dc.identifier.doi10.1093/mnras/stx2218
dc.local.publishedsourcehttp://arxiv.org/pdf/1708.08223
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland