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Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph

Research output: Contribution to journalArticle

  • Aaron S. G. Robotham
  • Simon P. Driver
  • Peder Norberg
  • Ivan K. Baldry
  • Steven P. Bamford
  • Andrew M. Hopkins
  • Jochen Liske
  • Jon Loveday
  • John A. Peacock
  • Ewan Cameron
  • Scott M. Croom
  • Isabelle F. Doyle
  • Carlos S. Frenk
  • David T. Hill
  • David Heath Jones
  • Eelco Van Kampen
  • Lee S. Kelvin
  • Konrad Kuijken
  • Hannah R. Parkinson
  • Cristina C. Popescu
  • Matthew Prescott
  • Robert G. Sharp
  • Will J. Sutherland
  • Richard J. Tuffs
A heuristic greedy algorithm is developed for efficiently tiling spatially dense redshift surveys. In its first application to the Galaxy and Mass Assembly (GAMA) redshift survey we find it rapidly improves the spatial uniformity of our data, and naturally corrects for any spatial bias introduced by the 2dF multi-object spectrograph. We make conservative predictions for the final state of the GAMA redshift survey after our final allocation of time, and can be confident that even if worse than typical weather affects our observations, all of our main survey requirements will be met.
Original languageEnglish
Pages (from-to)76-90
JournalPublications of the Astronomical Society of Australia
Volume27
Issue number01
DOIs
Publication statusPublished - Jan 2010

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