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We present a systematic search for periodically varying quasar andsupermassive black hole binary (SMBHB) candidates in the Pan-STARRS1 MediumDeep Survey. From $\sim9,000$ color-selected quasars in a $\sim50$ deg$^{2}$sky area, we initially identify $26$ candidates with more than $1.5$ cycles ofvariation. We extend the baseline of observations via our imaging campaign withthe Discovery Channel Telescope and the Las Cumbres Observatory network andreevaluate the candidates using a more rigorous, maximum likelihood method.Using a range of statistical criteria and assuming the Damped Random Walk modelfor normal quasar variability, we identify one statistically significantperiodic candidate. We also investigate the capabilities of detecting SMBHBs bythe Large Synoptic Survey Telescope using our study with MDS as a benchmark andexplore any complementary, multiwavelength evidence for SMBHBs in our sample.

Supermassive Black Hole Binary Candidates from the Pan-STARRS1 Medium Deep Survey