Enhancing Multiple-Transiting Planet System Validation with Transit Duration Ratios

Details Enhancing Multiple-Transiting Planet System Validation with Transit Duration Ratios Enhancing Multiple-Transiting Planet System Validation with Transit Duration Ratios

Sep 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011ess.....2.2801m&link_type=abstract

American Astronomical Society, ESS meeting #2, #28.01

Statistics

Scientific paper

The recent discoveries of three planets transiting Kepler-9 (Holman et al. 2010; Torres et al. 2011), six densely packed planets transiting Kepler-11 (Lissauer et al. 2011), and a total of 170 stars with multiple transiting planet candidates (Borucki et al. 2011; Steffen et al. 2010) bode well for the future of multiple-transiting planet systems (MTPSs). For many faint (Kp>14) Kepler targets, traditional confirmation by radial velocities is not practical. Fortunately, detailed light curve analysis can eliminate the vast majority of false-positive scenarios and statistically validate such systems (Torres et al. 2011; Fressin et al. 2011).
We explore the utility of the ratio of the observed transit durations in MTPSs for validating candidate MTPSs. After normalizing by a function of orbital periods, we obtain a parameter with a distribution centered on unity for multiple planets around the same star, but markedly different for certain blend scenarios. Using the Kepler Input Catalog and galactic stellar population models, we investigate these distributions through Monte Carlo simulations of four scenarios: 1) one star with two planets, 2) one star with one planet blended with an eclipsing binary, 3) two eclipsing binaries, and 4) two stars each with one planet. We discuss the utility of this statistics for in planet validation and estimating the false alarm probabilities for candidate systems identified by Kepler.
Kepler was selected as the 10th mission of the Discovery Program. Funding for this mission is provided by NASA, Science Mission Directorate. R.C.M. is supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0802270.

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