EAS Publications Series
Volume 42, 2010Extrasolar Planets in Multi-Body Systems: Theory and Observations
|Page(s)||187 - 189|
|Published online||19 April 2010|
K. Goździewski, A. Niedzielski and J. Schneider (eds)
EAS Publications Series, 42 (2010) 187-189
Radial velocities data analyzed through artificial neural networks
Laboratoire d'Astrophysique de l'EPFL, Observatoire, 1290 Versoix, Suisse
2 Observatoire de Genève, 1290 Versoix, Suisse
One of the most efficient methods used for exoplanet detection is the analysis of the radial velocity measurements of the host star, over a period of time. A newly proposed approach to analyze the radial velocity data is based on artificial neural networks (ANNs). The method is inspired from pattern recognition, a domain where ANNs are widely used. Preliminary results show the degree of similarity of the measured radial velocities to the theoretically computed effect of a multi-planetary system on a star. The present analysis can be the starting point for further classification of planetary systems using radial velocity curves.
© EAS, EDP Sciences, 2010
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