Mathematics – Probability
Scientific paper
May 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21821102r&link_type=abstract
American Astronomical Society, AAS Meeting #218, #211.02; Bulletin of the American Astronomical Society, Vol. 43, 2011
Mathematics
Probability
Scientific paper
We present an update on efforts to produce uniform state-of-the-art lightcurve modeling for Kepler's list of planetary candidates using tested and validated algorithms. This process involves modeling planetary transits, phase curves and orbits. We will use observables obtained from Kepler and groundbased follow-up to determine key planetary parameters such as the radius and mass. More importantly, we will determine posterior probability distributions for the fitted parameters by employing a Markov chain Monte Carlo algorithm. By calculating detailed models of the Kepler targets, our work will help the Kepler Mission achieve many of its primary scientific goals. We expect to measure with uncertainties: orbital periods, planet radii, inclinations, reflection/emission from the planet, the amplitude of planet-star gravitational interactions and transit timing variations. When sufficient groundbased radial velocities are available we model orbital solutions and planetary densities. We also model multi-planet, transiting systems by fitting for each planet-candidate simultaneously.
Bryson Steve T.
Caldwell Douglas A.
Christiansen Jessie L.
Haas Michael R.
Jenkins Jon Michael
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