LSST data management software development practices and tools

By T. Jenness, F. Economou, W. O'Mullane, Kian-Tat Lim, J. Hoblitt, J. Sick, Adam Thornton, Fabio Hernandez, K. Findeisen, Stephen Pietrowicz and 11 more. 2018

10 citations recorded by the source corpus.

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.

Subfields: Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Instrumentation, ML Systems & Hardware, AI for Physical Sciences

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In Atomic and Molecular Physics, and Optics

  1. Stephan Hoyer

In ML Systems & Hardware

  1. K. Jarrod Millman
  2. J. Vanderplas
  3. Carlos Henrique Grohmann
  4. Colin Raffel
  5. Daniel Müllner
  6. M. Cappellari
  7. Matthew Newville
  8. Andrew S. Rosen

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