Detecting extrasolar planets from stellar radial velocities using Bayesian evidence
F. Feroz (Cambridge), S. T. Balan (Cambridge), M. P. Hobson, (Cambridge)

TL;DR
This paper introduces an efficient Bayesian method for detecting and characterizing multiple extrasolar planets from stellar radial velocity data, overcoming computational challenges of traditional Bayesian evidence calculations.
Contribution
The authors develop a new iterative Bayesian approach that estimates the number of planets without directly computing Bayesian evidence, improving analysis efficiency.
Findings
Successfully recovered the correct number of planets in simulated data
Confirmed a three-planet system for HD 37124
Detected strong evidence for six planets in HD 10180
Abstract
Stellar radial velocity (RV) measurements have proven to be a very successful method for detecting extrasolar planets. Analysing RV data to determine the parameters of the extrasolar planets is a significant statistical challenge owing to the presence of multiple planets and various degeneracies between orbital parameters. Determining the number of planets favoured by the observed data is an even more difficult task. Bayesian model selection provides a mathematically rigorous solution to this problem by calculating marginal posterior probabilities of models with different number of planets, but the use of this method in extrasolar planetary searches has been hampered by the computational cost of the evaluating Bayesian evidence. Nonetheless, Bayesian model selection has the potential to improve the interpretation of existing observational data and possibly detect yet undiscovered…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
