Volume 599, March 2017
|Number of page(s)||4|
|Published online||07 March 2017|
Detection of co-orbital planets by combining transit and radial-velocity measurements
1 Physikalisches Institut & Center for Space and Habitability, Universitaet Bern, 3012 Bern, Switzerland
2 IMCCE, Observatoire de Paris − PSL Research University, UPMC Univ. Paris 06, Univ. Lille 1, CNRS, 77 Avenue Denfert-Rochereau, 75014 Paris, France
3 CIDMA, Departamento de Física, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
4 European Southern Observatory, Alonso de Cordova 3107, Vitacura Casilla 19001, Santiago 19, Chile
Received: 16 November 2016
Accepted: 30 January 2017
Co-orbital planets have not yet been discovered, although they constitute a frequent by-product of planetary formation and evolution models. This lack may be due to observational biases, since the main detection methods are unable to spot co-orbital companions when they are small or near the Lagrangian equilibrium points. However, for a system with one known transiting planet (with mass m1), we can detect a co-orbital companion (with mass m2) by combining the time of mid-transit with the radial-velocity data of the star. Here, we propose a simple method that allows the detection of co-orbital companions, valid for eccentric orbits, that relies on a single parameter α, which is proportional to the mass ratio m2/m1. Therefore, when α is statistically different from zero, we have a strong candidate to harbour a co-orbital companion. We also discuss the relevance of false positives generated by different planetary configurations.
Key words: planets and satellites: detection / celestial mechanics / planetary systems / techniques: radial velocities / techniques: photometric
© ESO, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.