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The Large Synoptic Survey Telescope (LSST) will photometrically monitorapproximately 1 billion stars for ten years. The resulting light curves can beused to detect transiting exoplanets. In particular, as demonstrated by Lund etal. (2015), LSST will probe stellar populations currently undersampled in mostexoplanet transit surveys, including out to extragalactic distances. In thispaper we test the efficiency of the box-fitting least-squares (BLS) algorithmfor accurately recovering the periods of transiting exoplanets using simulatedLSST data. We model planets with a range of radii orbiting a solar-mass star ata distance of 7 kpc, with orbital periods ranging from 0.5 to 20 days. We findthat standard-cadence LSST observations will be able to reliably recover theperiods of Hot Jupiters with periods shorter than approximately 3 days, howeverit will remain a challenge to confidently distinguish these transiting planetsfrom false positives. At the same time, we find that the LSST deep drillingcadence is extremely powerful: the BLS algorithm successfully recovers at least30% of sub-Saturn-size exoplanets with orbital periods as long as 20 days, anda simple BLS power criterion robustly distinguishes approximately 98% of thesefrom photometric (i.e. statistical) false positives.

Transiting Planets with LSST II. Period Detection of Planets Orbiting 1 Solar Mass Hosts