Survey Strategy Metrics

Chair: Lynne Jones The Rubin survey strategy will need to remain flexible in operations, which means the metrics built to ensure that it was facilitating science across a wide range of areas will need to remain relevant. New metrics will need to evolve, but also existing metrics will need to be verified against actual science results. This becomes additionally relevant when considering that metrics will also be used to predict end-of-survey results, when "simulations" are part real-data (what observations have been obtained to date) and part predictive simulations. This session will talk about how survey progress reporting is envisioned by the Rubin Observatory Survey Scheduling Team, but the bulk of this session is intended to start to address this question - how do we keep metrics relevant and in touch with reality?  What resources or data do the science collaborations or other community members need in order to verify metrics are indicating the appropriate choices for survey strategy? What is required in order to predict how well your science will be served by the LSST, while Rubin is in operation?  This session will be led by the Rubin Observatory Survey Scheduling Team, and will feature presentations and discussions about the implementation and evaluation of various metrics for predicting the science impact of survey strategy. There is a related session, Updates on the Survey Cadence, to cover updates on the plan for the survey strategy from the SCOC. Please contact the session chair with any questions, or if you'd like to volunteer to speak or help with this session. project.lsst.org/meetings/rubin-2024/survey-strate… Use policy gallery.lsst.org/bp/#/brandguidelines/2206/section…