Radial velocities data analyzed through artificial neural networks

Details Radial velocities data analyzed through artificial neural networks Radial velocities data analyzed through artificial neural networks

Apr 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010eas....42..187s&link_type=abstract

EAS Publications Series, Volume 42, 2010, pp.187-189

Computer Science

Scientific paper

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.

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