SSSC Science Roadmap:
The SSSC has produced a science roadmap detailing the collaboration's science priorities with LSST; this living document is available here
Community Observing Strategy Evaluation Paper (COSEP)
The SSSC has contributed to the LSST Community Observing Strategy Evaluation Paper (COSEP) currently titled 'Science-Driven Optimization of the LSST Observing Strategy' detailing the collaboration's metrics for evaluating proposed LSST survey cadences; this living document is available here (see also the github repo).
LSST Cadence Optimization White Papers
Solar System related white papers submitted in response to the 2018 LSST Cadence Optimization White Paper Call with SSSC involvement can be found here .
LSST Overiew Paper
The LSST Overview Paper is a living document providing a broad sumary of LSST specifications and capabilities.
LSST Science Book
The LSST Science Book is a detailed summary of science achievable with LSST. There is a chapter dedicated to Solar System science. You can download the full Science Book from here .
LSST Data Products Definition Document
The Data Products Definition Document - the definition of what LSST will provide in data products for all objects. See section 4.3.3 for specific contents of the solar system tables; there is further relevant information throughout the remainder of the DPDD (such as LSST project provided data processing, production of alerts, etc.).
These are science publications related to LSST by SSSC members.
On the detectability of Planet X with LSST - Trilling, Bellm, & Malhotra (2018)
The Large Synoptic Survey Telescope as a Near-Earth Object Discovery Machine - Jones et al. (2018)
Projected Near-Earth Object Discovery Performance of the Large Synoptic Survey Telescope Steven R. Chesley and Peter Veres - May 2017
These documents and presentations have been produced by the collaboration or collaboration members.
Minor Planet Center: Status and Plans - Presentation by Matt Holman at DPS 2017 Workshop
SSSC Status - Presentation by Meg Schwamb & David Trilling at DPS 2017 Workshop
LSST Solar System Science Looking ahead to Phase B - Presentation by Alan Fitzsimmons perepared by Alan Fitzsimmons, Wes Fraser, and Dave Young at NAM 2017 - July 2017
UK LSST Solar System Science Looking ahead to Phase B - Presentation by Wes Fraser prepared by Wes Fraser and Alan Fitzsimmons at RAS Specialist Discussion Meeting on LSST - May 2017
Science White Paper for LSST Deep-Drilling Field Observations Opportunities for Solar System Science - A. Becker et al. - March 2011
These documents and presentations are from LSST.
LSST OpSim Simulations & Small Body Metrics (with MAF) [Video]- Lynne Jones at the 1st LSST Solar System Readiness Sprint - July 2018
LSST Solar System Processing: Status and Plans – Mario Jurić at LSST@EUROPE3 - June 2018
Solar System Processing for LSST: A Status Update - Presentation by Mario Jurić at DPS 2017 Workshop
Upcoming Opsim Simulations, Small Body Metrics, & White Papers - Presentation by Lynne Jones at DPS 2017 Workshop
LSST Solar Ststem Science: MOPS Status, the Science, and Your Questions [Video]- virtual presentation by Mario Jurić to the SSSC - August 2017
What to Expect of the LSST Archive: The LSST Science Platform - Mario Jurić at the LSST PST and Science Collaboration Chairs Telecon - July 2017
LSST Plans for Cadence Optimization - Presetnation by Željko Ivezić, Lynne Jones, & LSST Simulations and Scheduler Teams at the LSST PST and Science Collaboration Chairs Telecon - May 30, 2017
LSST AAS Townhall - Presentation by Beth Willman, Pat Eliason,and Lucianne Walkowicz - January 2017
LSST as an asteroid discovery machine - Presentation by Željko Ivezić at SBAG - Januarury 2017
Solar System Science and LSST - Presentation by Lynne Jones at DPS 2016 LSST Town Hall - October 2016
LSST Summary of Data Management Principles - overview of LSST's Data Management Plan.
How to Reference and Cite LSST Project Papers in Science Publications.
The LSST project maintains an online repository with the list of papers to be referenced and cited as appropriate when describing the LSST project and utilizing survey simulations and other pre-science operations related data products.