Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph

Aaron S. G. Robotham; Simon P. Driver; Peder Norberg; Ivan K. Baldry; Steven P. Bamford; Andrew M. Hopkins; Jochen Liske; Jon Loveday; John A. Peacock; Ewan Cameron; Scott M. Croom; Isabelle F. Doyle; Carlos S. Frenk; David T. Hill; David Heath Jones; Eelco Van Kampen; Lee S. Kelvin; Konrad Kuijken; Robert C. Nichol; Hannah R. Parkinson; Cristina C. Popescu; Matthew Prescott; Robert G. Sharp; Will J. Sutherland; Daniel Thomas; Richard J. Tuffs

doi:10.1071/AS09053

Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph

Aaron S. G. Robotham, Simon P. Driver, Peder Norberg, Ivan K. Baldry, Steven P. Bamford, Andrew M. Hopkins, Jochen Liske, Jon Loveday, John A. Peacock, Ewan Cameron, Scott M. Croom, Isabelle F. Doyle, Carlos S. Frenk, David T. Hill, David Heath Jones, Eelco Van Kampen, Lee S. Kelvin, Konrad Kuijken, Robert C. Nichol, Hannah R. ParkinsonCristina C. Popescu, Matthew Prescott, Robert G. Sharp, Will J. Sutherland, Daniel Thomas, Richard J. Tuffs

Institute of Cosmology & Gravitation

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Abstract

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.

Original language	English
Pages (from-to)	76-90
Journal	Publications of the Astronomical Society of Australia
Volume	27
Issue number	01
DOIs	https://doi.org/10.1071/AS09053
Publication status	Published - Jan 2010

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10.1071/AS09053

_PAS_PAS27_01_S1323358000000084aFinal published version, 1.01 MBLicence: CC BY-SA

http://www.journals.cambridge.org/abstract_S1323358000000084

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Robotham, A. S. G., Driver, S. P., Norberg, P., Baldry, I. K., Bamford, S. P., Hopkins, A. M., Liske, J., Loveday, J., Peacock, J. A., Cameron, E., Croom, S. M., Doyle, I. F., Frenk, C. S., Hill, D. T., Jones, D. H., Van Kampen, E., Kelvin, L. S., Kuijken, K., Nichol, R. C., ... Tuffs, R. J. (2010). Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph. Publications of the Astronomical Society of Australia, 27(01), 76-90. https://doi.org/10.1071/AS09053

@article{c4598666d5e742cb90e942d3c01d55b9,

title = "Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph",

abstract = "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.",

author = "Robotham, {Aaron S. G.} and Driver, {Simon P.} and Peder Norberg and Baldry, {Ivan K.} and Bamford, {Steven P.} and Hopkins, {Andrew M.} and Jochen Liske and Jon Loveday and Peacock, {John A.} and Ewan Cameron and Croom, {Scott M.} and Doyle, {Isabelle F.} and Frenk, {Carlos S.} and Hill, {David T.} and Jones, {David Heath} and {Van Kampen}, Eelco and Kelvin, {Lee S.} and Konrad Kuijken and Nichol, {Robert C.} and Parkinson, {Hannah R.} and Popescu, {Cristina C.} and Matthew Prescott and Sharp, {Robert G.} and Sutherland, {Will J.} and Daniel Thomas and Tuffs, {Richard J.}",

year = "2010",

month = jan,

doi = "10.1071/AS09053",

language = "English",

volume = "27",

pages = "76--90",

journal = "Publications of the Astronomical Society of Australia",

issn = "1323-3580",

publisher = "Cambridge University Press",

number = "01",

}

Robotham, ASG, Driver, SP, Norberg, P, Baldry, IK, Bamford, SP, Hopkins, AM, Liske, J, Loveday, J, Peacock, JA, Cameron, E, Croom, SM, Doyle, IF, Frenk, CS, Hill, DT, Jones, DH, Van Kampen, E, Kelvin, LS, Kuijken, K, Nichol, RC, Parkinson, HR, Popescu, CC, Prescott, M, Sharp, RG, Sutherland, WJ, Thomas, D & Tuffs, RJ 2010, 'Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph', Publications of the Astronomical Society of Australia, vol. 27, no. 01, pp. 76-90. https://doi.org/10.1071/AS09053

TY - JOUR

T1 - Galaxy and Mass Assembly (GAMA)

T2 - optimal tiling of dense surveys with a multi-object spectrograph

AU - Robotham, Aaron S. G.

AU - Driver, Simon P.

AU - Norberg, Peder

AU - Baldry, Ivan K.

AU - Bamford, Steven P.

AU - Hopkins, Andrew M.

AU - Liske, Jochen

AU - Loveday, Jon

AU - Peacock, John A.

AU - Cameron, Ewan

AU - Croom, Scott M.

AU - Doyle, Isabelle F.

AU - Frenk, Carlos S.

AU - Hill, David T.

AU - Jones, David Heath

AU - Van Kampen, Eelco

AU - Kelvin, Lee S.

AU - Kuijken, Konrad

AU - Nichol, Robert C.

AU - Parkinson, Hannah R.

AU - Popescu, Cristina C.

AU - Prescott, Matthew

AU - Sharp, Robert G.

AU - Sutherland, Will J.

AU - Thomas, Daniel

AU - Tuffs, Richard J.

PY - 2010/1

Y1 - 2010/1

N2 - 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.

AB - 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.

U2 - 10.1071/AS09053

DO - 10.1071/AS09053

M3 - Article

SN - 1323-3580

VL - 27

SP - 76

EP - 90

JO - Publications of the Astronomical Society of Australia

JF - Publications of the Astronomical Society of Australia

IS - 01

ER -

Galaxy and Mass Assembly (GAMA): optimal tiling of dense surveys with a multi-object spectrograph

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