Maximizing LSST Solar System Science: Approaches, Software Tools, and Infrastructure Needs. (arXiv:1906.11346v1 [astro-ph.EP])
<a href="http://arxiv.org/find/astro-ph/1/au:+Hsieh_H/0/1/0/all/0/1">Henry H. Hsieh</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bannister_M/0/1/0/all/0/1">Michele T. Bannister</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bolin_B/0/1/0/all/0/1">Bryce T. Bolin</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Durech_J/0/1/0/all/0/1">Josef Durech</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Eggl_S/0/1/0/all/0/1">Siegfried Eggl</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Fraser_W/0/1/0/all/0/1">Wesley C. Fraser</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Granvik_M/0/1/0/all/0/1">Mikael Granvik</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Kelley_M/0/1/0/all/0/1">Michael S. P. Kelley</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Knight_M/0/1/0/all/0/1">Matthew M. Knight</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Leiva_R/0/1/0/all/0/1">Rodrigo Leiva</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Micheli_M/0/1/0/all/0/1">Marco Micheli</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Moeyens_J/0/1/0/all/0/1">Joachim Moeyens</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Mommert_M/0/1/0/all/0/1">Michael Mommert</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ragozzine_D/0/1/0/all/0/1">Darin Ragozzine</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Thomas_C/0/1/0/all/0/1">Cristina A. Thomas</a>

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.

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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