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The Vera C. Rubin Legacy Survey of Space and Time will discover thousands ofmicrolensing events across the Milky Way Galaxy, allowing for the study ofpopulations of exoplanets, stars, and compact objects. It will reach deeperlimiting magnitudes over a wider area than any previous survey. We evaluatenumerous survey strategies simulated in the Rubin Operation Simulations(OpSims) to assess the discovery and characterization efficiencies ofmicrolensing events. We have implemented three metrics in the Rubin MetricAnalysis Framework: a discovery metric and two characterization metrics, whereone estimates how well the lightcurve is covered and the other quantifies howprecisely event parameters can be determined. We also assess thecharacterizability of microlensing parallax, critical for detection offree-floating black hole lenses, in a representative bulge and disk field. Wefind that, given Rubin's baseline cadence, the discovery and characterizationefficiency will be higher for longer duration and larger parallax events.Microlensing discovery efficiency is dominated by observing footprint, wheremore time spent looking at regions of high stellar density including theGalactic bulge, Galactic plane, and Magellanic clouds, leads to higherdiscovery and characterization rates. However, if the observations arestretched over too wide an area, including low-priority areas of the Galacticplane with fewer stars and higher extinction, event characterization suffers by> 10%, which could impact exoplanet, binary star, and compact object eventsalike. We find that some rolling strategies (where Rubin focuses on a fractionof the sky in alternating years) in the Galactic bulge can lead to a 15-20%decrease in microlensing parallax characterization, so rolling strategiesshould be chosen carefully to minimize losses.

Microlensing Discovery and Characterization Efficiency in the Vera C. Rubin Legacy Survey of Space and Time