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

Henry H. Hsieh; Michele T. Bannister; Bryce T. Bolin; Josef Durech; Siegfried Eggl; Wesley C. Fraser; Mikael Granvik; Michael S. P. Kelley; Matthew M. Knight; Rodrigo Leiva; Marco Micheli; Joachim Moeyens; Michael Mommert; Darin Ragozzine; Cristina A. Thomas

arXiv · 1906.11346

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

Henry H. Hsieh·Michele T. Bannister·Bryce T. Bolin·Josef Durech·Siegfried Eggl·Wesley C. Fraser·Mikael Granvik·Michael S. P. Kelley·Matthew M. Knight·Rodrigo Leiva·Marco Micheli·Joachim Moeyens·Michael Mommert·Darin Ragozzine·Cristina A. Thomas

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Abstract

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.

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Henry H. Hsieh, Michele T. Bannister, Bryce T. Bolin, Josef Durech, Siegfried Eggl, Wesley C. Fraser, Mikael Granvik, Michael S. P. Kelley, Matthew M. Knight, Rodrigo Leiva, Marco Micheli, Joachim Moeyens, Michael Mommert, Darin Ragozzine, Cristina A. Thomas. 2019-06-26. Maximizing LSST Solar System Science: Approaches, Software Tools, and Infrastructure Needs. https://arxiv.org/abs/1906.11346

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