-Figure \autoref{fig:summary} shows the performance of the survey strategy on a set of core LSST science and system metrics. Note: Significant improvements were obtained on most metrics through v3.0. Those are to be attributed to changes of the survey strategy through community input and SCOC recommendations. The visible improvement on nearly all metrics between \baseline{3.2} and \baseline{3.3} is attributed to the updated filter transmission curves. The survey strategy is largely unchanged between \baseline{3.3} and \baseline{3.4}; the small changes in performance in performance are to be attributed to \texttt{rubin\_scheduler} code updates.\footnote{See \url{https://survey-strategy.lsst.io/baseline/changes.html}.}. \baseline{3.6} reflects this recommendations. The overall apparent drop in performance between \baseline{3.4} and \baseline{3.6} is primarily due to the inclusion of slew time jerk effects and more realistic estimates of downtime in Y1 (\autoref{sec:opsimchanges}). We also make available a variation of \baseline{3.6} woth four cycles of rolling to enable the investigations of different rolling implementations . While our recommendations is to implement the ToO program as described in \autoref{sec:ToO}, we provide an \opsim consistent with \baseline{3.6} but without the ToO program to allow the community to see the small effects that the introduction of ToOs has on the LSST. Finally we provide an implementation of \baseline{3.6} with single exposure visits (instead of 2x15 second snaps, {\autoref{sec:snaps}) which, pending commissioning outcomes, is the expected observing mode. In this \opsim, the survey time gained by dropping snaps (decreased readtime per visit) is allocated evenly across all all-sky observing modes: this includes the WFD, NES, SCP and Galactic Plane.
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