Radial velocities data analyzed through artificial neural networks

Abstract

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.