稀疏抽样调查中的凌日检测
Detecting Transits in Sparsely Sampled Surveys
摘要：
低质量恒星的小尺寸原则上提供了一个机会，通过凌日在宜居带发现类地行星和“超级地球”。像Pan-STARRS和LSST这样的大面积天气调查将观测到大量的低质量恒星，尽管相对于行星的周期和凌日持续时间，采样间隔很大（稀疏）。我们提出了简单的分析方程，可用于估计调查的可行性，通过设置上限的数量过境行星，将被检测到。我们使用蒙特卡罗模拟，以找到上限的数量过境行星，可能会发现在泛星中深和3 π调查。我们在SDSS-II超新星数据中寻找凌日行星和M-矮星食双星是用来说明使用稀疏抽样调查的问题（和成功）。
英文摘要：
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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