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Large Synoptic Survey Telescope Solar System Science Roadmap

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arxiv 1802.01783 v1 pith:4TY4OCE5 submitted 2018-02-06 astro-ph.EP astro-ph.IM

Large Synoptic Survey Telescope Solar System Science Roadmap

classification astro-ph.EP astro-ph.IM
keywords lsstsolarsystemsciencesurveycadencecommunitydecisions
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The Large Synoptic Survey Telescope (LSST) is uniquely equipped to search for Solar System bodies due to its unprecedented combination of depth and wide field coverage. Over a ten-year period starting in 2022, LSST will generate the largest catalog of Solar System objects to date. The main goal of the LSST Solar System Science Collaboration (SSSC) is to facilitate the efforts of the planetary community to study the planets and small body populations residing within our Solar System using LSST data. To prepare for future survey cadence decisions and ensure that interesting and novel Solar System science is achievable with LSST, the SSSC has identified and prioritized key Solar System research areas for investigation with LSST in this roadmap. The ranked science priorities highlighted in this living document will inform LSST survey cadence decisions and aid in identifying software tools and pipelines needed to be developed by the planetary community as added value products and resources before the planned start of LSST science operations.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Multi-year Ground-Based Survey Photometry of Active Comet 103P/Hartley 2 and Centaur (2060) Chiron: A Tale of Two Comets in the Pre-LSST Era

    astro-ph.EP 2026-06 unverdicted novelty 4.0

    Reports asymmetric heliocentric activity slopes for 103P/Hartley 2 and exponential outburst decay plus flattening phase curves for Chiron from ATLAS, ZTF, and LCO photometry.

  2. Maximizing LSST Solar System Science: Approaches, Software Tools, and Infrastructure Needs

    astro-ph.EP 2019-06 unverdicted novelty 1.0

    A white paper outlining approaches, software tools, and infrastructure needs for maximizing solar system science with the LSST survey.