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arXiv 1907.09027astro-ph.IM
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更好地支持为大型项目做准备的合作：LSST科学合作Astro2020 APC白皮书的案例研究

Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper

Federica B. Bianco, Manda Banerji, John Bochanski, William N. Brandt, Patricia Burchat, John Gizis, Zeljko Ivezić, Charles Keaton, Sugata Kaviraj, Tom Loredo, R… 展开作者

Federica B. Bianco, Manda Banerji, John Bochanski, William N. Brandt, Patricia Burchat, John Gizis, Zeljko Ivezić, Charles Keaton, Sugata Kaviraj, Tom Loredo, Rachel Mandelbaum, Phil Marshall, Peregrine McGehee, Chad Schafer, Megan E. Schwamb, Jennifer L Sokoloski, Michael A. Strauss, Rachel Street, David Trilling, Aprajita Verma

备注：
White Paper submitted to the Astro2020 (The "2020 Decadal Survey") APC call for "State of the Profession Considerations"
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摘要：

通过LSST科学合作组织的经验，本文倡导新的和改进的方法来资助数据科学和天体物理学界面上的大型复杂合作，因为他们正在准备和进行peta-scale，复杂的调查，其中LSST是一个很好的例子。我们主张建立支持研究和基础设施开发的计划，以实现这种规模的创新合作研究。

英文摘要：

Through the lens of the LSST Science Collaborations' experience, this paper advocates for new and improved ways to fund large, complex collaborations at the interface of data science and astrophysics as they work in preparation for and on peta-scale, complex surveys, of which LSST is a prime example. We advocate for the establishment of programs to support both research and infrastructure development that enables innovative collaborative research on such scales.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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