Detecting Transits in Sparsely Sampled Surveys

Details Detecting Transits in Sparsely Sampled Surveys Detecting Transits in Sparsely Sampled Surveys

2009-03-06

arxiv.org/abs/0903.1285v1

AIP Conf.Proc.1082:275-281,2008

Astronomy and Astrophysics

Astrophysics

Solar and Stellar Astrophysics

7 pages, 2 figures, published in Proceedings of the Conference on Classification and Discovery in Large Astronomical Surveys,

Scientific paper

10.1063/1.3059062

The small sizes of low mass stars in principle provide an opportunity to find Earth-like planets and "super-Earths" in habitable zones via transits. Large area synoptic surveys like Pan-STARRS and LSST will observe large numbers of low mass stars, albeit with widely spaced (sparse) time sampling relative to the planets' periods and transit durations. We present simple analytical equations that can be used to estimate the feasibility of a survey by setting upper limits to the number of transiting planets that will be detected. We use Monte Carlo simulations to find upper limits for the number of transiting planets that may be discovered in the Pan-STARRS Medium Deep and 3-pi surveys. Our search for transiting planets and M-dwarf eclipsing binaries in the SDSS-II supernova data is used to illustrate the problems (and successes) in using sparsely sampled surveys.

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