Tuning the Legacy Survey of Space and Time (LSST) Observing Strategy for Solar System Science: Incremental Templates in Year 1
James E. Robinson, Megan E. Schwamb, R. Lynne Jones, Mario Juri\'c, Peter Yoachim, Bryce T. Bolin, Colin O. Chandler, Steven R. Chesley, Grigori Fedorets, Wesley C. Fraser, Sarah Greenstreet, Henry H. Hsieh, Lauren J. McGinley, Stephanie R. Merritt, Cyrielle Opitom

TL;DR
This study evaluates how incremental template generation impacts the LSST's ability to detect solar system objects in Year 1, highlighting significant reductions in discovery efficiency, especially in less observed regions and filters.
Contribution
It provides a simulation-based analysis of template generation strategies for Year 1, informing optimal approaches to maximize solar system object discoveries.
Findings
SSO discoveries will start 2-3 months after survey begins.
Real-time detection capability is reduced in Year 1, especially in the NES.
Discovery metrics decrease by up to 63-79% depending on the region and filters.
Abstract
The Vera C. Rubin Observatory is due to commence the 10-year Legacy Survey of Space and Time (LSST) at the end of 2025. To detect transient/variable sources and identify solar system objects (SSOs), the processing pipelines require templates of the static sky to perform difference imaging. During the first year of the LSST, templates must be generated as the survey progresses, otherwise SSOs cannot be discovered nightly. The incremental template generation strategy has not been finalized; therefore, we use the Metric Analysis Framework (MAF) and a simulation of the survey cadence (one_snap_v4.0_10yrs}) to explore template generation in Year 1. We have assessed the effects of generating templates over timescales of days-weeks, when at least four images of sufficient quality are available for of the visit. We predict that SSO discoveries will begin 2-3 months after the…
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Taxonomy
TopicsEconomic Growth and Productivity
