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Proceedings Paper

Investigating interoperability of the LSST data management software stack with Astropy
Author(s): Tim Jenness; James Bosch; Russell Owen; John Parejko; Jonathan Sick; John Swinbank; Miguel de Val-Borro; Gregory Dubois-Felsmann; K.-T. Lim; Robert H. Lupton; Pim Schellart; K. Simon Krughoff; Erik J. Tollerud
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Paper Abstract

The Large Synoptic Survey Telescope (LSST) will be an 8.4m optical survey telescope sited in Chile and capable of imaging the entire sky twice a week. The data rate of approximately 15TB per night and the requirements to both issue alerts on transient sources within 60 seconds of observing and create annual data releases means that automated data management systems and data processing pipelines are a key deliverable of the LSST construction project. The LSST data management software has been in development since 2004 and is based on a C++ core with a Python control layer. The software consists of nearly a quarter of a million lines of code covering the system from fundamental WCS and table libraries to pipeline environments and distributed process execution. The Astropy project began in 2011 as an attempt to bring together disparate open source Python projects and build a core standard infrastructure that can be used and built upon by the astronomy community. This project has been phenomenally successful in the years since it has begun and has grown to be the de facto standard for Python software in astronomy. Astropy brings with it considerable expectations from the community on how astronomy Python software should be developed and it is clear that by the time LSST is fully operational in the 2020s many of the prospective users of the LSST software stack will expect it to be fully interoperable with Astropy. In this paper we describe the overlap between the LSST science pipeline software and Astropy software and investigate areas where the LSST software provides new functionality. We also discuss the possibilities of re-engineering the LSST science pipeline software to build upon Astropy, including the option of contributing affliated packages.

Paper Details

Date Published: 26 July 2016
PDF: 13 pages
Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy IV, 99130G (26 July 2016); doi: 10.1117/12.2231313
Show Author Affiliations
Tim Jenness, LSST (United States)
James Bosch, Princeton Univ. (United States)
Russell Owen, Univ. of Washington (United States)
John Parejko, Univ. of Washington (United States)
Jonathan Sick, LSST (United States)
John Swinbank, Princeton Univ. (United States)
Miguel de Val-Borro, Princeton Univ. (United States)
Gregory Dubois-Felsmann, California Institute of Technology (United States)
K.-T. Lim, SLAC National Accelerator Lab. (United States)
Robert H. Lupton, Princeton Univ. (United States)
Pim Schellart, Princeton Univ. (United States)
K. Simon Krughoff, Univ. of Washington (United States)
Erik J. Tollerud, Space Telescope Science Institute (United States)


Published in SPIE Proceedings Vol. 9913:
Software and Cyberinfrastructure for Astronomy IV
Gianluca Chiozzi; Juan C. Guzman, Editor(s)

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