Photometry of stars from the K2 extension of NASA's Kepler mission is
afflicted by systematic effects caused by small (few-pixel) drifts in the
telescope pointing and other spacecraft issues. We present a method for
searching K2 light curves for evidence of exoplanets by simultaneously fitting
for these systematics and the transit signals of interest. This method is more
computationally expensive than standard search algorithms but we demonstrate
that it can be efficiently implemented and used to discover transit signals. We
apply this method to the full Campaign 1 dataset and report a list of 36 planet
candidates transiting 31 stars, along with an analysis of the pipeline
performance and detection efficiency based on artificial signal injections and
recoveries. For all planet candidates, we present posterior distributions on
the properties of each system based strictly on the transit observables.

本文介绍了一种用于在 K2 星表的光线曲线上搜索外行星证据的方法，该方法同时对系统误差和感兴趣的过境信号进行拟合。基于该方法，作者在第一次观测活动中，发现了 36 个行星候选者，对这些候选者的属性进行了后验分布分析。