The Large Synoptic Survey Telescope (LSST) is expected to increase known small solar system object populations by an order of magnitude or more over the next decade, enabling a broad array of transformative solar system science investigations to be performed. In this white paper, we discuss software tools and infrastructure that we anticipate will be needed to conduct these investigations and outline possible approaches for implementing them. Feedback from the community or contributions to future updates of this work are welcome. Our aim is for this white paper to encourage further consideration of the software development needs of the LSST solar system science community, and also to be a call to action for working to meet those needs in advance of the expected start of the survey in late 2022.
@article{arxiv.1906.11346,
title = {Maximizing LSST Solar System Science: Approaches, Software Tools, and Infrastructure Needs},
author = {Henry H. Hsieh and Michele T. Bannister and Bryce T. Bolin and Josef Durech and Siegfried Eggl and Wesley C. Fraser and Mikael Granvik and Michael S. P. Kelley and Matthew M. Knight and Rodrigo Leiva and Marco Micheli and Joachim Moeyens and Michael Mommert and Darin Ragozzine and Cristina A. Thomas},
journal= {arXiv preprint arXiv:1906.11346},
year = {2019}
}