An LSST.org project

The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment

  • Rubin Observatory Science Pipelines Developers
  • Yusra AlSayyad
  • Tim S. Axelrod
  • John Banovetz
  • Keith Bechtol
  • Eric C. Bellm
  • James F. Bosch
  • Andrew Bradshaw
  • Alexander Broughton
  • Audrey Budlong
  • Neven Caplar
  • Jeffrey L. Carlin
  • Ross Ceballo
  • Hsin-Fang Chiang
  • Yumi Choi
  • Johann Cohen-Tanugi
  • Andrew J. Connolly
  • Sylvie Dagoret-Campagne
  • Gregory P. Dubois-Felsmann
  • Frossie Economou
  • Orion Eiger
  • Agnès Ferté
  • Krzysztof Findeisen
  • Merlin Fisher-Levine
  • Michelle Gower
  • Leanne P. Guy
  • Fabio Hernandez
  • Kenneth Herner
  • Joshua Hoblitt
  • Erin Leigh Howard
  • Minhee Hyun
  • David H. Irving
  • Željko Ivezić
  • Tim Jenness
  • Mario Jurić
  • Arun Kannawadi
  • Lee S. Kelvin
  • K. Simon Krughoff
  • Jacob A. Kurlander
  • Pierre-François Léget
  • Kian-Tat Lim
  • Robert H. Lupton
  • Nate B. Lust
  • Lauren A. MacArthur
  • Sean Patrick MacBride
  • Jeremy McCormick
  • Guillem Megias Homar
  • Joshua E. Meyers
  • Fred E. Moolekamp
  • James R. Mullaney
  • Erfan Nourbakhsh
  • William O'Mullane
  • John K. Parejko
  • Hye Yun Park
  • Maria T. Patterson
  • Stephen R. Pietrowicz
  • Andrés A. Plazas Malagón
  • Paul A. Price
  • Arianna Ranabhat
  • Meredith L. Rawls
  • Sophie L. Reed
  • Eli S. Rykoff
  • Andrei Salnikov
  • Bruno O. Sánchez
  • Clare Saunders
  • Nima Sedaghat
  • Jonathan Sick
  • Colin T. Slater
  • Brianna M. Smart
  • Adam Snyder
  • Ian S. Sullivan
  • John D. Swinbank
  • Dan S. Taranu
  • Adam J. Thornton
  • Yuankun (David) Wang
  • Christopher Z. Waters
  • Christina C. Williams
  • Matthias Wittgen
  • W. M. Wood-Vasey

Abstract

The NSF-DOE Vera C. Rubin Observatory is executing the Legacy Survey of Space and Time (LSST) as its prime mission, producing a series of data releases over the ten-year survey. The LSST Science Pipelines Software will be used to create these data releases and to perform the nightly prompt processing and alert production. This paper provides an overview of the LSST Science Pipelines Software, describing the components and their integration into pipelines that generate science-ready data products.

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