The Tiling Algorithm for the 6dF Galaxy Survey

Abstract

The Six Degree Field Galaxy Survey (6dFGS) is a spectroscopic survey of the southern sky, which aims to provide positions and velocities of galaxies in the nearby Universe. We present here the adaptive tiling algorithm developed to place 6dFGS fields on the sky, and allocate targets to those fields. Optimal solutions to survey field placement are generally extremely difficult to find, especially in this era of large-scale galaxy surveys, as the space of available solutions is vast (2N dimensional) and false optimal solutions abound. The 6dFGS algorithm utilises the Metropolis (simulated annealing) method to overcome this problem. By design the algorithm gives uniform completeness independent of local density, so as to result in a highly complete and uniform observed sample. The adaptive tiling achieves a sampling rate of approximately 95%, a variation in the sampling uniformity of less than 5%, and an efficiency in terms of used fibres per field of greater than 90%. We have tested whether the tiling algorithm systematically biases the large-scale structure in the survey by studying the two-point correlation function of mock 6dF volumes. Our analysis shows that the constraints on fibre proximity with 6dF lead to under-estimating galaxy clustering on small scales (< 1 Mpc) by up to ~20%, but that the tiling introduces no significant sampling bias at larger scales.

11 pages, 7 figures. Full resolution version of the paper available from http://www.mso.anu.edu.au/6dFGS/ . Abridged version of abstract below

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• Galaxy Clustering in Early SDSS Redshift Data
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• Galaxy and Mass Assembly (GAMA): Optimal Tiling of Dense Surveys with a Multi-Object Spectrograph
• Second Data Release of the 6dF Galaxy Survey
• Multi-Object Spectroscopy Field Configuration by Simulated Annealing
• The WiggleZ Dark Energy Survey: small-scale clustering of Lyman Break Galaxies at z < 1
• The Clustering Of Galaxies Around Radio-Loud AGNs
• Forward Modeling of Spectroscopic Galaxy Surveys: Application to SDSS
• Target allocation yields for massively multiplexed spectroscopic surveys with fibers
• Halo detection via large-scale Bayesian inference
• SPOKES: an End-to-End Simulation Facility for Spectroscopic Cosmological Surveys