Predictions of the LSST Solar System (non-)Yield
Joseph Murtagh, Ian Chow

TL;DR
This paper predicts which solar system objects the LSST will not detect, highlighting various failure modes and the implications of non-detections for understanding the solar system.
Contribution
It introduces a comprehensive analysis of non-yield populations using synthetic models and survey simulations, revealing specific detection failures.
Findings
Objects missed due to telescope downtime and chip gaps.
Detection failures for objects with short orbital arcs.
Confirmation of the non-existence of the Death Star within LSST data.
Abstract
We present predictions for solar system objects the Vera C.\ Rubin Observatory Legacy Survey of Space and Time (LSST) will not detect over its ten-year baseline survey. Employing state-of-the-art synthetic population models and the \texttt{Sorcha} survey simulator, we identify non-yield populations spanning geometric, photometric, kinematic, temporal, and computational failure modes. Notable subpopulations include objects whose peak brightness coincides exclusively with scheduled telescope downtime, objects whose detections fall within Rubin focal plane chip gaps, and objects whose orbital arcs expire before linking jobs are dispatched from the compute queue. We additionally characterise the non-yield arising from the Death Star (DS-1; ~km), whose orbital mechanics (when constrained by the well-established Endor engagement geometry \citep{lucas83}) place it at a maximum…
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