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Galaxy and mass assembly (GAMA): Optimal tiling of dense surveys with a multi-object spectrograph

Robotham, Aaron; Driver, Simon P; Norberg, P; Baldry, I. K.; Bamford, Steven P.; Hopkins, Andrew M.; Liske, Jochen; Loveday, J; Peacock, John A; Cameron, E; van Kampen, E; Sharp, Robert; Tuffs, Richard J

Description

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...[Show more]

dc.contributor.authorRobotham, Aaron
dc.contributor.authorDriver, Simon P
dc.contributor.authorNorberg, P
dc.contributor.authorBaldry, I. K.
dc.contributor.authorBamford, Steven P.
dc.contributor.authorHopkins, Andrew M.
dc.contributor.authorLiske, Jochen
dc.contributor.authorLoveday, J
dc.contributor.authorPeacock, John A
dc.contributor.authorCameron, E
dc.contributor.authorvan Kampen, E
dc.contributor.authorSharp, Robert
dc.contributor.authorTuffs, Richard J
dc.date.accessioned2015-12-13T22:43:20Z
dc.date.available2015-12-13T22:43:20Z
dc.identifier.issn1323-3580
dc.identifier.urihttp://hdl.handle.net/1885/79162
dc.description.abstractA 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.
dc.publisherCSLI Publications
dc.sourcePublications of the Astronomical Society of Australia
dc.subjectKeywords: Cosmology: observations; Galaxies: distances and redshifts; Instrumentation; Large-scale structure of Universe; Spectrographs; Surveys
dc.titleGalaxy and mass assembly (GAMA): Optimal tiling of dense surveys with a multi-object spectrograph
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume27
dc.date.issued2010
local.identifier.absfor020102 - Astronomical and Space Instrumentation
local.identifier.ariespublicationf5625xPUB7668
local.type.statusPublished Version
local.contributor.affiliationRobotham, Aaron, University of St Andrews
local.contributor.affiliationDriver, Simon P, University of St Andrews
local.contributor.affiliationNorberg, P, University of Edinburgh
local.contributor.affiliationBaldry, I. K., Liverpool John Moores University
local.contributor.affiliationBamford, Steven P., University of Nottingham
local.contributor.affiliationHopkins, Andrew M., Australian Astronomical Observatory
local.contributor.affiliationLiske, Jochen, European Southern Observatory
local.contributor.affiliationLoveday, J, University of Sussex
local.contributor.affiliationPeacock, John A, University of Edinburgh
local.contributor.affiliationCameron, E, ETH Zurich
local.contributor.affiliationvan Kampen, E, European Southern Observatory
local.contributor.affiliationSharp, Robert, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationTuffs, Richard J, Max Planck Institute for Nuclear Physics
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage76
local.bibliographicCitation.lastpage90
local.identifier.doi10.1071/AS09053
dc.date.updated2016-02-24T09:36:23Z
local.identifier.scopusID2-s2.0-77949348934
CollectionsANU Research Publications

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