Pith. sign in

REVIEW 6 cited by

Large Synoptic Survey Telescope Solar System Science Roadmap

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

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

classification astro-ph.EPastro-ph.IM
keywords lsstsolarsystemsciencesurveycadencecommunitydecisions
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 21 citations worldwide. Full citation record

  1. AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys

    astro-ph.IM 2026-03 conditional novelty 6.0 of 10

    A Brownian-bridge diffusion model learns probabilistic LSST↔Euclid image translation on simulations and uses reconstruction inconsistency to detect strong lenses.

  2. Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs

    astro-ph.EP 2025-06 conditional novelty 6.0 of 10

    Using a detailed survey simulator, the authors predict the LSST will discover roughly 1,200 to 2,000 Centaurs over ten years, about half in the first two years.

  3. Predictions of the LSST Solar System Yield: Near-Earth Objects, Main Belt Asteroids, Jupiter Trojans, and Trans-Neptunian Objects

    astro-ph.EP 2025-06 conditional novelty 6.0 of 10

    Using the Sorcha survey simulator and the near-final LSST v3.4 cadence, the paper predicts LSST will discover 5.36 million solar system objects, including 5.09 million main-belt asteroids, with 70% of distant populati...

  4. Sorcha: Optimized Solar System Ephemeris Generation

    astro-ph.EP 2025-06 conditional novelty 6.0 of 10

    Sorcha's ephemeris generator uses sky pixelation, one-day time pickets, and per-object ASSIST/REBOUND interpolation to find which simulated asteroids fall in each survey exposure.

  5. 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 of 10

    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.

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

    astro-ph.EP 2019-06 unverdicted novelty 1.0 of 10

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

Pith tools