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The Large Synoptic Survey Telescope (LSST) will explore the entire southernsky over 10 years starting in 2022 with unprecedented depth and time samplingin six filters, $ugrizy$. Artificial power on the scale of the 3.5 deg LSSTfield-of-view will contaminate measurements of baryonic acoustic oscillations(BAO), which fall at the same angular scale at redshift $z \sim 1$. Using theHEALPix framework, we demonstrate the impact of an "un-dithered" survey, inwhich $17\%$ of each LSST field-of-view is overlapped by neighboringobservations, generating a honeycomb pattern of strongly varying survey depthand significant artificial power on BAO angular scales. We find that adoptinglarge dithers (i.e., telescope pointing offsets) of amplitude close to the LSSTfield-of-view radius reduces artificial structure in the galaxy distribution bya factor of $\sim$10. We propose an observing strategy utilizing large ditherswithin the main survey and minimal dithers for the LSST Deep Drilling Fields.We show that applying various magnitude cutoffs can further increase surveyuniformity. We find that a magnitude cut of $r < 27.3$ removes significantspurious power from the angular power spectrum with a minimal reduction in thetotal number of observed galaxies over the ten-year LSST run. We also determinethe effectiveness of the observing strategy for Type Ia SNe and predict thatthe main survey will contribute $\sim$100,000 Type Ia SNe. We propose aconcentrated survey where LSST observes one-third of its main survey area eachyear, increasing the number of main survey Type Ia SNe by a factor of$\sim$1.5, while still enabling the successful pursuit of other sciencedrivers.

Improving the LSST dithering pattern and cadence for dark energy studies