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GAMA head image
GAMA head image
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GAMA head image
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GAMA head image
Publications > Acknowledgement
If you are using public GAMA data, you should include a brief description of the GAMA survey with citations to the relevant survey papers.

GAMA Survey Publications

  • Towards a physical understanding of galaxy formation (Driver et al. 2009): on the science motivation, multi-wavelength coverage, database aims.
  • The input catalogue and star-galaxy separation (Baldry et al. 2010): on the spectroscopic target selection, magnitude and other limits, star-galaxy separation.
  • Optimal tiling of dense surveys with a multi-object spectrograph (Robotham et al. 2010): on the target priorities, strategy for high spectroscopic completeness.
  • Spectroscopic analysis, (Hopkins et al. 2013): on the data reduction and analysis of the spectra.
  • Survey diagnostics and core data release (Driver et al. 2011): on survey procedures, progress and statistics, and DR1.
  • AUTOZ spectral redshift measurements, confidence and errors, (Baldry et al. 2014): on measuring redshifts.
  • End of survey report and data release 2 (Liske et al. 2015): more on survey procedures, final state of the survey, redshift diagnostics, and DR2.
  • Panchromatic Data Release (far-UV-far-IR) and the low-z energy budget (Driver et al. 2016): on 21 band photometry of GAMA galaxies.
  • The G02 field, Herschel-ATLAS target selection and data release 3 (Baldry et al. 2018): description of the G02 input catalogue and target selection, the selection of the H-ATLAS filler sample, and DR3.
  • Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions (Driver et al. 2022): description of DR4.
  • FUV, NUV, ugrizYJHK Petrosian, Kron and Sersic photometry (Hill et al. 2011): on the GAMA-processed photometry, including matched aperture photometry from u to K.
  • Structural Investigation of Galaxies via Model Analysis (Kelvin et al. 2012): on single component Sersic profile fitting.
  • Mid-infrared Properties and Empirical Relations from WISE (Cluver et al. 2014): on mid-infrared photometry from re-processed WISE data.
  • Accurate panchromatic photometry from optical priors using LAMBDAR (Wright et al. 2016): on a new code for matched aperture photometry.
  • Stellar mass estimates (Taylor et al. 2011): on estimating stellar masses.
  • The GAMA galaxy group catalogue (Robotham et al. 2011): on the group catalogue.
  • Assimilation of KiDS into the GAMA database (Bellstedt et al. 2020): new, GAMA-derived photometry from FUV to SPIRE500.

Other Publications

Smith et al. (2011) on the Herschel-ATLAS cross-matching with SDSS.

Acknowledgement

GAMA is a joint European-Australasian project based around a spectroscopic campaign using the Anglo-Australian Telescope. The GAMA input catalogue is based on data taken from the Sloan Digital Sky Survey and the UKIRT Infrared Deep Sky Survey. Complementary imaging of the GAMA regions is being obtained by a number of independent survey programmes including GALEX MIS, VST KiDS, VISTA VIKING, WISE, Herschel-ATLAS, GMRT and ASKAP providing UV to radio coverage. GAMA is funded by the STFC (UK), the ARC (Australia), the AAO, and the participating institutions. The GAMA website is https://www.gama-survey.org/ .

If your paper makes use of GAMA data products based on VISTA VIKING data, please also include the following:
Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 179.A-2004.

If your paper makes use of GAMA data products based on VST KiDS data, please also include the following:
Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 177.A-3016.