Tuning the Legacy Survey of Space and Time (LSST) Observing Strategy for Solar System Science
Author
Schwamb, M.E.Jones, R.L.
Yoachim, P.
Volk, K.
Dorsey, R.C.
Opitom, C.
Greenstreet, S.
Lister, T.
Snodgrass, C.
Bolin, B.T.
Inno, L.
Bannister, M.T.
Eggl, S.
Solontoi, M.
Kelley, M.S.P.
Jurić, M.
Lin, H.W.
Ragozzine, D.
Bernardinelli, P.H.
Chesley, S.R.
Daylan, T.
Ďurech, J.
Fraser, W.C.
Granvik, M.
Knight, M.M.
Lisse, C.M.
Malhotra, R.
Oldroyd, W.J.
Thirouin, A.
Ye, Q.
Affiliation
Lunar and Planetary Laboratory, The University of ArizonaIssue Date
2023-05-23
Metadata
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American Astronomical SocietyCitation
Megan E. Schwamb et al 2023 ApJS 266 22Rights
© 2023. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The Vera C. Rubin Observatory is expected to start the Legacy Survey of Space and Time (LSST) in early to mid-2025. This multiband wide-field synoptic survey will transform our view of the solar system, with the discovery and monitoring of over five million small bodies. The final survey strategy chosen for LSST has direct implications on the discoverability and characterization of solar system minor planets and passing interstellar objects. Creating an inventory of the solar system is one of the four main LSST science drivers. The LSST observing cadence is a complex optimization problem that must balance the priorities and needs of all the key LSST science areas. To design the best LSST survey strategy, a series of operation simulations using the Rubin Observatory scheduler have been generated to explore the various options for tuning observing parameters and prioritizations. We explore the impact of the various simulated LSST observing strategies on studying the solar system’s small body reservoirs. We examine what are the best observing scenarios and review what are the important considerations for maximizing LSST solar system science. In general, most of the LSST cadence simulations produce ±5% or less variations in our chosen key metrics, but a subset of the simulations significantly hinder science returns with much larger losses in the discovery and light-curve metrics. © 2023. The Author(s). Published by the American Astronomical Society.Note
Open access journalISSN
0067-0049Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.3847/1538-4365/acc173
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Except where otherwise noted, this item's license is described as © 2023. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.

