Presentation + Paper
6 July 2018 LSST data management software development practices and tools
Tim Jenness, Frossie Economou, Krzysztof Findeisen, Fabio Hernandez, Josh Hoblitt, K. Simon Krughoff, K-T Lim, Robert H. Lupton, Fritz Mueller, William O'Mullane, Russell Owen, Stephen R. Pietrowicz, Pim Schellart, Jonathan Sick, John Swinbank, Adam Thornton, James Bosch, Jeffrey Kantor, John K. Parejko, Paul Price, Brian van Klaveren
Author Affiliations +
Abstract
The Large Synoptic Survey Telescope (LSST) is an 8.4m optical survey telescope being constructed on Cerro Pach´on in Chile. The data management system being developed must be able to process the nightly alert data, 20,000 expected transient alerts per minute, in near real time, and construct annual data releases at the petabyte scale. The development team consists of more than 90 people working in six different sites across the US developing an integrated set of software to realize the LSST science goals. In this paper we discuss our agile software development methodology and our API and developer decision making process. We also discuss the software tools that we use for continuous integration and deployment.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tim Jenness, Frossie Economou, Krzysztof Findeisen, Fabio Hernandez, Josh Hoblitt, K. Simon Krughoff, K-T Lim, Robert H. Lupton, Fritz Mueller, William O'Mullane, Russell Owen, Stephen R. Pietrowicz, Pim Schellart, Jonathan Sick, John Swinbank, Adam Thornton, James Bosch, Jeffrey Kantor, John K. Parejko, Paul Price, and Brian van Klaveren "LSST data management software development practices and tools", Proc. SPIE 10707, Software and Cyberinfrastructure for Astronomy V, 1070709 (6 July 2018); https://doi.org/10.1117/12.2312157
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Large Synoptic Survey Telescope

Software development

C++

Binary data

Latex

Document management

Systems modeling

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