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Science-Driven Optimization of the LSST Observing Strategy
arXiv: Instrumentation and Methods for Astrophysics (2017)
  • Phil Marshall, University of California, Santa Cruz
  • Timo Anguita
  • Federica B. Bianco, New York University
  • Eric C. Bellm
  • Niel Brandt
  • Will Clarkson
  • Andy Connolly, University of Washington
  • Eric Gawiser, Rutgers University
  • Zeljko Ivezic, Princeton University
  • Lynne Jones
  • Michelle Lochner, African Institute for Mathematical Sciences
  • Michael B. Lund
  • Ashish Mahabal, California Institute of Technology
  • David Nidever
  • Knut Olsen, Lawrence Berkeley National Laboratory
  • Stephen Ridgway
  • Jason Rhodes, California Institute of Technology
  • Ohad Shemmer, University of North Texas
  • David Trilling, Northern Arizona University
  • Kathy Vivas
  • Lucianne Walkowicz, Princeton University
  • Beth Willman, New York University
  • Peter Yoachim, University of Washington
  • Scott Anderson, University of Washington
  • Pierre Antilogus
  • Ruth Angus, University of Oxford
  • Iair Arcavi
  • Humna Awan
  • Rahul Biswas
  • Keaton J. Bell
  • David Bennett, University of Notre Dame
  • Chris Britt
  • Derek Buzasi, United States Air Force Academy
  • Dana I. Casetti-Dinescu
  • Laura Chomiuk
  • Chuck Claver
  • Kem Cook, University of California, Santa Cruz
  • James Davenport, University of Washington
  • Victor Debattista
  • Seth Digel
  • Zoheyr Doctor
  • R. E. Firth
  • Ryan Foley, University of California, Santa Cruz
  • Wen-fai Fong
  • Lluis Galbany
  • Mark Giampapa
  • John E. Gizis, University of Delaware
  • Melissa L. Graham
  • Carl Grillmair, California Institute of Technology
Publication Date
August 14, 2017
DOI
10.5281/zenodo.842713
Citation Information
Phil Marshall, Timo Anguita, Federica B. Bianco, Eric C. Bellm, et al.. "Science-Driven Optimization of the LSST Observing Strategy" arXiv: Instrumentation and Methods for Astrophysics (2017)
Available at: http://works.bepress.com/james-davenport/26/