2016/09/06 by N. Hara, Nathan C. Hara, Gwenaël Boué +4 · 1 citation
Physics and Astronomy · #Adaptive optics and wavefront sensing #Algorithm #Aliasing #Artificial intelligence #Astronomy #Astronomy and Astrophysical Research #Astrophysics #Computer science #Gaussian #Observatory #Periodogram #Physics #Planet #Radial velocity #Spectral line #Spectrograph #Stars #Stellar, planetary, and galactic studies #Telescope #astro-ph.EP #astro-ph.IM #msc:62G
paper · pdf · doi:10.1093/mnras/stw2261
Accepted for publication in MNRAS
arxiv created 2016/09/06 · openalex publication_date 2016/09/08 · arxiv updated 2016/09/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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 process 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.