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Description
To find planet signals of small planets around solar-like stars, we require data analysis methods that can accurately remove instrument systematics. In recent years, new planet detection methods have appeared which leverage advances in computing power and forward modeling techniques to detect planet candidates by simultaneously modeling planet signatures and instrument systematics (e.g. Foreman-Mackey et al. 2015; Luger et al. 2016, 2018). These data-driven models isolate and remove instrumental signals, preserving light curves of transiting exoplanets. To date, comprehensive catalogs which utilize such innovative planet detection methods have not been published.