Statistics – Computation
Scientific paper
Sep 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011ess.....2.2404c&link_type=abstract
American Astronomical Society, ESS meeting #2, #24.04
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. One of these is the detection completeness of the Kepler pipeline, 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 etaEarth.
Christiansen Jessie
Kepler Completeness Study Working Group
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