High-contrast Differential Image Processing for Extrasolar Planet Detection
Author | : Alberto Cornia |
Publisher | : |
Total Pages | : 142 |
Release | : 2010 |
Genre | : |
ISBN | : |
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This thesis is dedicated to the ground-based exoplanet detection and it has been developed in the context of the SPHERE project of ESO; the installation of this instrument is planned for 2011 on the VLT. To directly deleted exoplanets, SPHERE will combine an extreme adaptive optics System, a coronagraph and imagery at two or more wavelengths. To distinguish between the planet signal and the speckles due to the aberrations, we need to elaborate a sophisticated method of data processing which exploits also the temporal information. I developed a method, called ANDROMEDA, which allows to detect exoplanets and to estimate their flux. It uses image differences which aim at eliminating the effects of unknown quasi-static aberrations and of the variability of the quality oi adaptive optics correction. The algorithm couples images taken at different instants which present a field rotation between them, and possibly images taken at two different wavelengths. I showed that ANDROMEDA meets the requirements of SPHERE for the detections of planets at a contrast o 106 at a separation of 0.5" from the star, and it can even do better, reaching a separation of 0.2" for the same contrast. Then I carried out a parametric study of the method to analyze the robustness of the flux estimation towards different sources of error. Finally, I tested ANDROMEDA on experimental data provided by the NACO instrument; this analysis allowed us to understand how to deal with typical problems posed by data reduction and instrumental artifacts.