Simulating the LSST system

A. J. Connolly, John Peterson, J. Garrett Jernigan, Robert Abel, Justin Bankert, Chihway Chang, Charles F. Claver, Robert Gibson, David K. Gilmore, Emily Grace, R. Lynne Jones, Zeljko Ivezic, James Jee, Mario Juric, Steven M. Kahn, Victor L. Krabbendam, Simon Krughoff, Suzanne Lorenz, James Pizagno, Andrew RasmussenNathan Todd, J. Anthony Tyson, Mallory Young

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)


Extracting science from the LSST data stream requires a detailed knowledge of the properties of the LSST catalogs and images (from their detection limits to the accuracy of the calibration to how well galaxy shapes can be characterized). These properties will depend on many of the LSST components including the design of the telescope, the conditions under which the data are taken and the overall survey strategy. To understand how these components impact the nature of the LSST data the simulations group is developing a framework for high fidelity simulations that scale to the volume of data expected from the LSST. This framework comprises galaxy, stellar and solar system catalogs designed to match the depths and properties of the LSST (to r=28), transient and moving sources, and image simulations that ray-trace the photons from above the atmosphere through the optics and to the camera. We describe here the state of the current simulation framework and its computational challenges.

Original languageEnglish
Title of host publicationModeling, Systems Engineering, and Project Management for Astronomy IV
Publication statusPublished - 2010
EventModeling, Systems Engineering, and Project Management for Astronomy IV - San Diego, CA, United States
Duration: 2010 Jun 272010 Jul 1

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherModeling, Systems Engineering, and Project Management for Astronomy IV
Country/TerritoryUnited States
CitySan Diego, CA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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