Statistics – Methodology
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21113516b&link_type=abstract
American Astronomical Society, AAS Meeting #211, #135.16; Bulletin of the American Astronomical Society, Vol. 39, p.974
Statistics
Methodology
Scientific paper
The Kepler mission is designed to detect and characterize Earth-size planets in the habitable zone of their parent stars. This will be possible for the brightest late-type Main Sequence stars (e.g. 12th magnitude for sun-like stars, 15-16th magnitude for M-type stars). There are nearly a half million stars brighter than 16th magnitude in the Kepler field of view, most of which are too large or too faint for detection of an Earth-like planet. The Kepler Stellar Classification Program (SCP) is a pre-launch effort to characterize every star in the field (with reasonable completeness down to m=20) using ground-based multi-color photometry to determine the surface gravity and effective temperature. The SCP products will allow us to pre-select and prioritize targets based on the predicted SNR of an Earth-like transit. The methodology is designed to maximize the science yield of the mission by quantifying, for every potential target, the minimum detectable planet radius as a function of semi-major axis. The metric considers issues of crowding by quantifying the amount of contamination from background stars that works to dilute the transit signal. We describe the selection/prioritization methodology and present the magnitude and spectral type distribution for a target list generated from a preliminary release of the Kepler Input Catalog.
Support for this work came from NASA's Discovery Program.
Batalha Natalie M.
Borucki William. J.
Brown Ted M.
Bryson Steve T.
Caldwell Douglas A.
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