Radial Velocity Data Analysis with Compressed Sensing Techniques
Abstract
We present a novel approach for analysing radial velocity data that combines two features: all the planets are searched at once and the algorithm is fast. This is achieved by utilizing compressed sensing techniques, which are modified to be compatible with the Gaussian processes framework. The resulting tool can be used like a Lomb-Scargle periodogram and has the same aspect but with much fewer peaks due to aliasing. The method is applied to five systems with published radial velocity data sets: HD 69830, HD 10180, 55 Cnc, GJ 876 and a simulated very active star. The results are fully compatible with previous analysis, though obtained more straightforwardly. We further show that 55 Cnc e and f could have been respectively detected and suspected in early measurements from the Lick observatory and Hobby-Eberly Telescope available in 2004, and that frequencies due to dynamical interactions in GJ 876 can be seen.
Cite
@article{arxiv.1609.01519,
title = {Radial Velocity Data Analysis with Compressed Sensing Techniques},
author = {Nathan C. Hara and Gwenaël Boué and Jacques Laskar and Alexandre C. M. Correia},
journal= {arXiv preprint arXiv:1609.01519},
year = {2016}
}
Comments
Accepted for publication in MNRAS