Fast and robust exo-planet detection in multi-spectral, multi-temporal data

Éric Thiébaut; Loïc Denis; Laurent Mugnier; André Ferrari; David Mary; Maud Langlois; Faustine Cantalloube; Nicholas Devaney

doi:10.1117/12.2233405

27 July 2016 Fast and robust exo-planet detection in multi-spectral, multi-temporal data

Éric Thiébaut, Loïc Denis, Laurent Mugnier, André Ferrari, David Mary, Maud Langlois, Faustine Cantalloube, Nicholas Devaney

Author Affiliations +

Proceedings Volume 9909, Adaptive Optics Systems V; 990957 (2016) https://doi.org/10.1117/12.2233405
Event: SPIE Astronomical Telescopes + Instrumentation, 2016, Edinburgh, United Kingdom

Abstract

Exo-planet detection is a signal processing problem that can be addressed by several detection approaches. This paper provides a review of methods from detection theory that can be applied to detect exo-planets in coronographic images such as those provided by SPHERE and GPI. In a first part, we recall the basics of signal detection and describe how to derive a fast and robust detection criterion based on a heavy tail model that can account for outliers in the residuals. In a second part, we derive detectors that handle jointly several wavelengths and exposures and focus on an approach that prevents from interpolating the data, thereby preserving the statistics of the original data.

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Éric Thiébaut, Loïc Denis, Laurent Mugnier, André Ferrari, David Mary, Maud Langlois, Faustine Cantalloube, and Nicholas Devaney "Fast and robust exo-planet detection in multi-spectral, multi-temporal data", Proc. SPIE 9909, Adaptive Optics Systems V, 990957 (27 July 2016); https://doi.org/10.1117/12.2233405

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