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Proceedings Paper

Detection of faint companions in multi-spectral data using a maximum likelihood approach
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Paper Abstract

Direct, ground-based exoplanet detection is an extremely challenging task requiring extreme adaptive optics (AO) systems and very high contrast. Dedicated planet hunters, such as SPHERE and GPI have been designed with these requirements in mind. Despite this, direct detection is still limited due to the presence of residual speckles. Smith et al.1 described a maximum likelihood estimation technique for the detection of exoplanets in speckle data in which the planet appears to rotate about a host star when observing with an alt-az telescope. We propose the adaptation of this technique to operate on multi-spectral data, such as produced by the integral field spectrographs present on both SPHERE2 or GPI.3 As the speckle pattern approximately scales smoothly with wavelength, it is possible to resample data to a single reference wavelength in which speckles will remain fixed in the wavelength dimension while any companions that are present will exhibit radial motion in a predictable manner. We simulate data comparable to SPHERE and with this we compare the performance of our algorithm with another multi-spectral detection technique; spectral deconvolution. We compare the techniques using a ROC (Receiver Operating Characteristic) analysis.

Paper Details

Date Published: 27 July 2016
PDF: 9 pages
Proc. SPIE 9909, Adaptive Optics Systems V, 99097W (27 July 2016); doi: 10.1117/12.2232550
Show Author Affiliations
Kenneth Hanley, National Univ. of Ireland, Galway (Ireland)
Nicholas Devaney, National Univ. of Ireland, Galway (Ireland)
Éric Thiébaut, CRAL, Observatoire de Lyon (France)


Published in SPIE Proceedings Vol. 9909:
Adaptive Optics Systems V
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

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