Detecting Extra-solar Planets with a Bayesian hybrid MCMC Kepler periodogram
| dc.creator | Gregory, P. C. | |
| dc.date | 2009-02-12 | |
| dc.date.accessioned | 2026-07-07T12:40:53Z | |
| dc.date.available | 2026-07-07T12:40:53Z | |
| dc.description | A Bayesian re-analysis of published radial velocity data sets is providing evidence for additional planetary candidates. The nonlinear model fitting is accomplished with a new hybrid Markov chain Monte Carlo (HMCMC) algorithm which incorporates parallel tempering, simulated annealing and genetic crossover operations. Each of these features facilitate the detection of a global minimum in chi^2. By combining all three, the HMCMC greatly increases the probability of realizing this goal. When applied to the Kepler problem it acts as a powerful multi-planet Kepler periodogram for both parameter estimation and model selection. The HMCMC algorithm is embedded in a unique two stage adaptive control system that automates the tuning of the MCMC proposal distributions through an annealing operation. | |
| dc.description | In JSM Proceedings, Denver, CO, Aug. 3, 2008: American Statistical Association | |
| dc.identifier | https://arxiv.org/abs/0902.2014 | |
| dc.identifier | http://arxiv.org/abs/0902.2014 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/219583 | |
| dc.subject | Earth and Planetary Astrophysics | |
| dc.title | Detecting Extra-solar Planets with a Bayesian hybrid MCMC Kepler periodogram | |
| dc.type | text |