Mathematics – Probability
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21932607r&link_type=abstract
American Astronomical Society, AAS Meeting #219, #326.07
Mathematics
Probability
Scientific paper
We present the first catalog of uniform state-of-the-art lightcurve modeling for Kepler's list of planetary candidates using tested and validated algorithms. This process involved modeling planetary transits, phase curves and orbits. We used observables obtained from Kepler-photometry and groundbased follow-up to determine key planetary parameters such as the radius and mass. More importantly, we determined posterior probability distributions for the fitted parameters by employing a Markov chain Monte Carlo algorithm.
We have measured with uncertainties: stellar parameters, orbital periods, planet radii, inclinations. When sufficient groundbased radial velocities are available we have modeled orbital solutions and planetary densities. We also model multi-planet, transiting systems by fitting for each planet-candidate simultaneously.
Barclay Thomas S.
Bryson Steve T.
Christiansen Jessie L.
Kepler Team
Mullally Fergal R.
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