Paper
15 July 2010 Comparison of methods for detection and characterization of exoplanets with SPHERE/IRDIS
A. Vigan, C. Moutou, M. Langlois, D. Mouillet, K. Dohlen, A. Boccaletti, M. Carbillet, I. Smith, A. Ferrari, L. Mugnier, C. Thalmann
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Abstract
SPHERE is a second generation instrument for the Very Large Telescope (VLT) which will aim at directly detecting the intrinsic flux of young giant exoplanets thanks to a dedicated extreme adaptive optics system and coronagraphs. Exoplanet detection in the near-infrared will be performed in parallel with an integral field spectrograph and a differential imager, IRDIS. IRDIS main mode for exoplanet detection will be Dual- Band Imaging (DBI) where two images are acquired simultaneously at close wavelengths around expected sharp features in cold planetary objects spectra. We present here the end-to-end simulations performed to obtain realistic data for IRDIS in DBI mode with temporal evolution of the quasi-static speckle pattern. Data cubes have been generated to represent 4 hour observations in IRDIS filter pairs for various star magnitudes and planets at angular separations from 0."2 to 2".0. Using this unique set of data, we present a comparison of various data analysis methods for high-contrast imaging with IRDIS in DBI mode both in terms of detection limits and of estimation of the exoplanet flux after speckle noise attenuation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Vigan, C. Moutou, M. Langlois, D. Mouillet, K. Dohlen, A. Boccaletti, M. Carbillet, I. Smith, A. Ferrari, L. Mugnier, and C. Thalmann "Comparison of methods for detection and characterization of exoplanets with SPHERE/IRDIS", Proc. SPIE 7735, Ground-based and Airborne Instrumentation for Astronomy III, 77352X (15 July 2010); https://doi.org/10.1117/12.856701
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Cited by 7 scholarly publications.
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KEYWORDS
Stars

Planets

Adaptive optics

Coronagraphy

Optical spheres

Data analysis

Point spread functions

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