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Galaxy and Mass Assembly (GAMA): Optimal Tiling of Dense Surveys with a Multi-Object Spectrograph

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arxiv 0910.5121 v2 pith:MPL4EI4I submitted 2009-10-27 astro-ph.CO astro-ph.IM

Aaron Robotham , S.P. Driver , P. Norberg , I.K. Baldry , S.P. Bamford , A.M. Hopkins , J. Liske , J. Loveday
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J.A. Peacock E. Cameron S.M. Croom I.F. Doyle C.S. Frenk D.T. Hill D.H. Jones E. van Kampen L.S. Kelvin K. Kuijken R.C. Nichol H.R. Parkinson C.C. Popescu M. Prescott R.G. Sharp W.J. Sutherland D. Thomas R.J. Tuffs
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keywords gamaredshiftsurveyassemblydensefinalgalaxymass
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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.

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