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

A. Robotham, Simon Driver, P. Norberg, I. K. Baldry, S. P. Bamford, A. M. Hopkins, J. Liske, J. Loveday, 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. ParkinsonC. C. Popescu, M. Prescott, R. G. Sharp, W. J. Sutherland, D. Thomas, R. J. Tuffs

    Research output: Contribution to journalArticlepeer-review

    122 Citations (Web of Science)


    A heuristic greedy algorithm is developed for efficiently tiling spatially dense redshift surveys. In its first application to the Galaxy and MassAssembly (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
    Issue number2010
    Publication statusPublished - 2010


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