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.
@article{arxiv.0910.5121,
title = {Galaxy and Mass Assembly (GAMA): Optimal Tiling of Dense Surveys with a Multi-Object Spectrograph},
author = {Aaron Robotham and S. P. Driver and P. Norberg and I. K. Baldry and S. P. Bamford and A. M. Hopkins and J. Liske and J. Loveday and J. A. Peacock and E. Cameron and S. M. Croom and I. F. Doyle and C. S. Frenk and D. T. Hill and D. H. Jones and E. van Kampen and L. S. Kelvin and K. Kuijken and R. C. Nichol and H. R. Parkinson and C. C. Popescu and M. Prescott and R. G. Sharp and W. J. Sutherland and D. Thomas and R. J. Tuffs},
journal= {arXiv preprint arXiv:0910.5121},
year = {2014}
}
Comments
14 pages, 12 figures, accepted for publication in PASA, high quality version available at http://www.eso.org/~jliske/gama/pubs.html