Statistics – Methodology
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21734303t&link_type=abstract
American Astronomical Society, AAS Meeting #217, #343.03; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Methodology
Scientific paper
We present early results from a new program to determine physical parameters of all known transiting exoplanets. The purpose of this program is to follow a strict, homogeneous methodology to analyze archival transit light curve data in order to make clear interpretations of the ensemble properties of transiting exoplanets. We describe our methodology, which includes a consistent treatment of stellar limb darkening, an improved transit light curve noise model that accounts for time-correlated stochastic noise, and a statistically robust assessment of stellar parameters based upon stellar evolution models and spectroscopic as well as photometric constraints. In addition, we describe an associated spectroscopic follow-up program that seeks to more precisely determine observable stellar parameters (e.g., effective temperature, surface gravity, and metallicity) for exoplanet host stars that may be used as priors in the aforementioned homogeneous analysis. This research is supported by the NASA/Origins Program, grant NNX09AF59G.
Carter James A.
Fischer Debra
Holman Matthew J.
Sozzetti Alessandro
Torres Guillermo
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