GPI PSF subtraction with TLOCI: The next evolution in exoplanet/disk high-contrast imaging

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DOIResolve DOI: http://doi.org/10.1117/12.2055245
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TypeArticle
Proceedings titleSPIE - International Society for Optical Engineering. Proceedings
ConferenceAdaptive Optics Systems IV, 22 June 2014 through 27 June 2014
ISSN0277-786X
ISBN9780819496164
Volume9148
Article number91480U
SubjectAlgorithms; Extrasolar planets; Optical transfer function; Signal to noise ratio; Stars; Circumstellar disks; High contrast imaging; Image subtraction; Integral Field Unit; Optimized combinations; Polychromatic images; Reference image; Rotated images; Adaptive optics
AbstractTo directly image exoplanets and faint circumstellar disks, the noisy stellar halo must be suppressed to a high level. To achieve this feat, the angular differential imaging observing technique and the least-squares Locally Optimized Combination of Images (LOCI) algorithm have now become the standard in single band direct imaging observations and data reduction. With the development and commissioning of new high-order high-contrast adaptive optics equipped with integral field units, the image subtraction algorithm needs to be modified to allow the optimal use of polychromatic images, field-rotated images and archival data. A new algorithm, TLOCI (for Template LOCI), is designed to achieve this task by maximizing a companion signal-to-noise ratio instead of simply minimizing the noise as in the original LOCI algorithm. The TLOCI technique uses an input spectrum and template Point Spread Functions (PSFs, generated from unocculted and unsaturated stellar images) to optimize the reference image least-squares coefficients to minimize the planet self-subtraction, thus maximizing its throughput per wavelength, while simultaneously providing a maximum suppression of the speckle noise. The new algorithm has been developed using on-sky GPI data and has achieved impressive contrast. This paper presents the TLOCI algorithm, on-sky performance, and will discuss the challenges in recovering the planet spectrum with high fidelity.
Publication date
PublisherSPIE
LanguageEnglish
AffiliationNational Science Infrastructure; National Research Council Canada
Peer reviewedYes
NPARC number21275497
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Record identifier8a6aa344-19e8-44c4-a083-048922b47474
Record created2015-07-14
Record modified2017-04-24
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