Statistics – Computation
Scientific paper
Oct 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011epsc.conf.1518c&link_type=abstract
EPSC-DPS Joint Meeting 2011, held 2-7 October 2011 in Nantes, France. http://meetings.copernicus.org/epsc-dps2011, p.1518
Statistics
Computation
Scientific paper
There are many factors which must be considered in order to address Kepler's primary mission goal - measuring the frequency of Earth-size planets in the habitable zones of solar-like stars[1]. One of these is the detection completeness of the Kepler pipeline[2], in other words what fraction of the detectable transiting planets are being recovered. However, since Kepler will obtain over 8 billion observations during the nominal mission, characterizing the pipeline detection efficiency in the traditional Monte Carlo manner is computationally infeasible. We describe a new method of measuring the ensemble statistics for completeness, investigating the detection efficiency as a function of stellar and planetary parameters. We present the first results from the study, and the implications for Kepler's ability to measure eta_Earth.
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