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Monthly Notices of the Royal Astronomical Society | 2015

Galaxy And Mass Assembly (GAMA): end of survey report and data release 2

J. Liske; Ivan K. Baldry; Simon P. Driver; Richard J. Tuffs; Mehmet Alpaslan; E. Andrae; Sarah Brough; Michelle E. Cluver; M. W. Grootes; M. L. P. Gunawardhana; Lee S. Kelvin; J. Loveday; Aaron S. G. Robotham; Edward N. Taylor; Steven P. Bamford; Joss Bland-Hawthorn; Michael J. I. Brown; Michael J. Drinkwater; Andrew M. Hopkins; Martin Meyer; Peder Norberg; J. A. Peacock; Nicola K. Agius; Stephen K. Andrews; Amanda E. Bauer; J. H. Y. Ching; Matthew Colless; Christopher J. Conselice; Scott M. Croom; Luke J. M. Davies

The Galaxy And Mass Assembly (GAMA) survey is one of the largest contemporary spectroscopic surveys of low redshift galaxies. Covering an area of ∼286 deg2 (split among five survey regions) down to a limiting magnitude of r < 19.8 mag, we have collected spectra and reliable redshifts for 238 000 objects using the AAOmega spectrograph on the Anglo-Australian Telescope. In addition, we have assembled imaging data from a number of independent surveys in order to generate photometry spanning the wavelength range 1 nm–1 m. Here, we report on the recently completed spectroscopic survey and present a series of diagnostics to assess its final state and the quality of the redshift data. We also describe a number of survey aspects and procedures, or updates thereof, including changes to the input catalogue, redshifting and re-redshifting, and the derivation of ultraviolet, optical and near-infrared photometry. Finally, we present the second public release of GAMA data. In this release, we provide input catalogue and targeting information, spectra, redshifts, ultraviolet, optical and near-infrared photometry, single-component Sersic fits, stellar masses, Hα-derived star formation rates, environment information, and group properties for all galaxies with r < 19.0 mag in two of our survey regions, and for all galaxies with r < 19.4 mag in a third region (72 225 objects in total). The data base serving these data is available at http://www.gama-survey.org/.


Monthly Notices of the Royal Astronomical Society | 2015

Galaxy And Mass Assembly (GAMA): mass–size relations of z < 0.1 galaxies subdivided by Sérsic index, colour and morphology

Rebecca Lange; Simon P. Driver; Aaron S. G. Robotham; Lee S. Kelvin; Alister W. Graham; Mehmet Alpaslan; Stephen K. Andrews; Ivan K. Baldry; Steven P. Bamford; Joss Bland-Hawthorn; Sarah Brough; Michelle E. Cluver; Christopher J. Conselice; Luke J. M. Davies; Boris Haeussler; I. S. Konstantopoulos; Jon Loveday; Amanda J. Moffett; Peder Norberg; Steven Phillipps; Edward N. Taylor; A. R. Lopez-Sanchez; Stephen M. Wilkins

We use data from the Galaxy And Mass Assembly (GAMA) survey in the redshift range 0.01 < z < 0.1 (8399 galaxies in g to Ks bands) to derive the stellar mass–half-light radius relations for various divisions of ‘early’- and ‘late’-type samples. We find that the choice of division between early and late (i.e. colour, shape, morphology) is not particularly critical; however, the adopted mass limits and sample selections (i.e. the careful rejection of outliers and use of robust fitting methods) are important. In particular, we note that for samples extending to low stellar mass limits (<1010M⊙) the Sersic index bimodality, evident for high-mass systems, becomes less distinct and no-longer acts as a reliable separator of early- and late-type systems. The final set of stellar mass–half-light radius relations are reported for a variety of galaxy population subsets in 10 bands (ugrizZY JHKs) and are intended to provide a comprehensive low-z benchmark for the many ongoing high-z studies. Exploring the variation of the stellar mass–half-light radius relations with wavelength, we confirm earlier findings that galaxies appear more compact at longer wavelengths albeit at a smaller level than previously noted: at 1010M⊙ both spiral systems and ellipticals show a decrease in size of 13 per cent from g to Ks (which is near linear in log wavelength). Finally, we note that the sizes used in this work are derived from 2D Sersic light profile fitting (using GALFIT3), i.e. elliptical semimajor half-light radii, improving on earlier low-z benchmarks based on circular apertures.


Monthly Notices of the Royal Astronomical Society | 2016

Galaxy And Mass Assembly (GAMA): Panchromatic Data Release (far-UV-far-IR) and the low-z energy budget

Simon P. Driver; A. H. Wright; Stephen K. Andrews; Luke J. M. Davies; Prajwal R. Kafle; Rebecca Lange; Amanda J. Moffett; Elizabeth Mannering; Aaron S. G. Robotham; Kevin Vinsen; Mehmet Alpaslan; E. Andrae; Ivan K. Baldry; Amanda E. Bauer; Steven P. Bamford; Joss Bland-Hawthorn; N. Bourne; Sarah Brough; Michael J. I. Brown; Michelle E. Cluver; Scott M. Croom; Matthew Colless; Christopher J. Conselice; Elisabete da Cunha; Roberto De Propris; Michael J. Drinkwater; Loretta Dunne; Stephen Anthony Eales; A. C. Edge; Carlos S. Frenk

We present the Galaxy And Mass Assembly (GAMA) Panchromatic Data Release (PDR) constituting over 230 deg2 of imaging with photometry in 21 bands extending from the far-UV to the far-IR. These data complement our spectroscopic campaign of over 300k galaxies, and are compiled from observations with a variety of facilities including: GALaxy Evolution eXplorer, Sloan Digital Sky Survey, Visible and Infrared Telescope for Astronomy (VISTA), Wide-field Infrared Survey Explorer, and Herschel, with the GAMA regions currently being surveyed by VLT Survey Telescope (VST) and scheduled for observations by Australian Square Kilometer Array Pathfinder (ASKAP). These data are processed to a common astrometric solution, from which photometry is derived for ∼221 373 galaxies with r < 19.8 mag. Online tools are provided to access and download data cutouts, or the full mosaics of the GAMA regions in each band. We focus, in particular, on the reduction and analysis of the VISTA VIsta Kilo-degree INfrared Galaxy data, and compare to earlier data sets (i.e. 2MASS and UKIDSS) before combining the data and examining its integrity. Having derived the 21-band photometric catalogue, we proceed to fit the data using the energy balance code magphys. These measurements are then used to obtain the first fully empirical measurement of the 0.1–500 μm energy output of the Universe. Exploring the cosmic spectral energy distribution across three time-intervals (0.3–1.1, 1.1–1.8, and 1.8–2.4 Gyr), we find that the Universe is currently generating (1.5 ± 0.3) × 1035 h70 W Mpc−3, down from (2.5 ± 0.2) × 1035 h70 W Mpc−3 2.3 Gyr ago. More importantly, we identify significant and smooth evolution in the integrated photon escape fraction at all wavelengths, with the UV escape fraction increasing from 27(18) per cent at z = 0.18 in NUV(FUV) to 34(23) per cent at z = 0.06. The GAMA PDR can be found at: http://gama-psi.icrar.org/.


Monthly Notices of the Royal Astronomical Society | 2016

Galaxy and mass assembly: accurate panchromatic photometry from optical priors using LAMBDAR

A. H. Wright; Aaron S. G. Robotham; N. Bourne; Simon P. Driver; Loretta Dunne; Steve Maddox; Mehmet Alpaslan; Stephen K. Andrews; Amanda E. Bauer; J. Bland-Hawthorn; Sarah Brough; Michael J. I. Brown; Charles Clarke; Michelle E. Cluver; Linda Davies; M. W. Grootes; Benne W. Holwerda; Andrew M. Hopkins; Thomas Harold Jarrett; Prajwal R. Kafle; Rebecca Lange; J. Liske; J. Loveday; Amanda J. Moffett; Peder Norberg; Cristina Popescu; Matthew William L. Smith; Edward N. Taylor; Richard J. Tuffs; L. Wang

We present the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR), a novel code for calculating matched aperture photometry across images that are neither pixel- nor PSF-matched, using prior aperture definitions derived from high resolution optical imaging. The development of this program is motivated by the desire for consistent photometry and uncertainties across large ranges of photometric imaging, for use in calculating spectral energy distributions. We describe the program, specifically key features required for robust determination of panchromatic photometry: propagation of apertures to images with arbitrary resolution, local background estimation, aperture normalisation, uncertainty determination and propagation, and object deblending. Using simulated images, we demonstrate that the program is able to recover accurate photometric measurements in both high-resolution, low-confusion, and low-resolution, high-confusion, regimes. We apply the program to the 21-band photometric dataset from the Galaxy And Mass Assembly (GAMA) Panchromatic Data Release (PDR; Driver et al. 2016), which contains imaging spanning the far-UV to the far-IR. We compare photometry derived from LAMBDAR with that presented in Driver et al. (2016), finding broad agreement between the datasets. Nonetheless, we demonstrate that the photometry from LAMBDAR is superior to that from the GAMA PDR, as determined by a reduction in the outlier rate and intrinsic scatter of colours in the LAMBDAR dataset. We similarly find a decrease in the outlier rate of stellar masses and star formation rates using LAMBDAR photometry. Finally, we note an exceptional increase in the number of UV and mid-IR sources able to be constrained, which is accompanied by a significant increase in the mid-IR colour-colour parameter-space able to be explored.


Monthly Notices of the Royal Astronomical Society | 2016

Galaxy And Mass Assembly (GAMA) : the stellar mass budget by galaxy type.

Amanda J. Moffett; Stephen A. Ingarfield; Simon P. Driver; Aaron S. G. Robotham; Lee S. Kelvin; Rebecca Lange; Uroš Meštrić; Mehmet Alpaslan; Ivan K. Baldry; Joss Bland-Hawthorn; Sarah Brough; Michelle E. Cluver; Luke J. M. Davies; Benne W. Holwerda; Andrew M. Hopkins; Prajwal R. Kafle; Rebecca Kennedy; Peder Norberg; Edward N. Taylor

SPD and AJM acknowledge funding support from the Australian Research Council under Discovery Project grant 130103505. SB acknowledges funding support from the Australian Research Council through a Future Fellowship (FT140101166). GAMA is funded by the STFC (UK), the ARC (Australia), the AAO, and the participating institutions. Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the US Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England.


Monthly Notices of the Royal Astronomical Society | 2015

Galaxy And Mass Assembly (GAMA): Curation and reanalysis of 16.6k redshifts in the G10/COSMOS region

Luke J. M. Davies; Simon P. Driver; Aaron S. G. Robotham; Ivan K. Baldry; Rebecca Lange; J. Liske; Martin Meyer; Attila Popping; Stephen M. Wilkins; A. H. Wright

We discuss the construction of the Galaxy And Mass Assembly (GAMA) 10h region (G10) using publicly available data in the Cosmic Evolution Survey region (COSMOS) in order to extend the GAMA survey to z ∼ 1 in a single deg2 field. In order to obtain the maximum number of high precision spectroscopic redshifts we re-reduce all archival zCOSMOS-bright data and use the GAMA automatic cross-correlation redshift fitting code autoz. We use all available redshift information (autoz, zCOSMOS-bright 10k, PRIMUS, VVDS, SDSS and photometric redshifts) to calculate robust best-fitting redshifts for all galaxies and visually inspect all 1D and 2D spectra to obtain 16 583 robust redshifts in the full COSMOS region. We then define the G10 region to be the central ∼1 deg2 of COSMOS, which has relatively high spectroscopic completeness, and encompasses the CHILES VLA region. We define a combined r < 23.0 mag and i < 22.0 mag G10 sample (selected to have the highest bijective overlap) with which to perform future analysis, containing 9861 sources with reliable high-precision VLT-VIMOS spectra. All tables, spectra and imaging are available at http://ict.icrar.org/cutout/G10.


Monthly Notices of the Royal Astronomical Society | 2016

Galaxy And Mass Assembly (GAMA):

Rebecca Lange; Amanda J. Moffett; Simon P. Driver; Aaron S. G. Robotham; Claudia del P. Lagos; Lee S. Kelvin; Christopher J. Conselice; Berta Margalef-Bentabol; Mehmet Alpaslan; Ivan K. Baldry; Joss Bland-Hawthorn; Malcolm N. Bremer; Sarah Brough; Michelle E. Cluver; Matthew Colless; Luke J. M. Davies; Boris Häußler; Benne W. Holwerda; Andrew M. Hopkins; Prajwal R. Kafle; Rebecca Kennedy; J. Liske; Steven Phillipps; Cristina Popescu; Edward N. Taylor; Richard J. Tuffs; Eelco van Kampen; A. H. Wright

We perform automated bulge + disc decomposition on a sample of


Monthly Notices of the Royal Astronomical Society | 2015

\mathcal {M_\star }-R_{\rm e}

Samantha J. Penny; Michael J. I. Brown; Kevin A. Pimbblet; Michelle E. Cluver; Darren J. Croton; Matt S. Owers; Rebecca Lange; Mehmet Alpaslan; Ivan K. Baldry; J. Bland-Hawthorn; Sarah Brough; Simon P. Driver; Benne W. Holwerda; Andrew M. Hopkins; T. H. Jarrett; D. Heath Jones; Lee S. Kelvin; M. A. Lara-Lopez; J. Liske; A. R. Lopez-Sanchez; J. Loveday; Martin Meyer; Peder Norberg; Aaron S. G. Robotham; M. Rodrigues

\sim


Monthly Notices of the Royal Astronomical Society | 2015

relations of z = 0 bulges, discs and spheroids

Rebecca Kennedy; Steven P. Bamford; Ivan K. Baldry; Boris Häußler; Benne W. Holwerda; Andrew M. Hopkins; Lee S. Kelvin; Rebecca Lange; Amanda J. Moffett; Cristina Popescu; Edward N. Taylor; Richard J. Tuffs; Marina Vika; Benedetta Vulcani

7500 galaxies from the Galaxy And Mass Assembly (GAMA) survey in the redshift range of 0.002


Monthly Notices of the Royal Astronomical Society | 2016

Galaxy And Mass Assembly (GAMA): The bright void galaxy population in the optical and mid-IR

Rebecca Lange; Amanda J. Moffett; Simon P. Driver; Aaron S. G. Robotham; Claudia del P. Lagos; Lee S. Kelvin; Christopher J. Conselice; Berta Margalef-Bentabol; Mehmet Alpaslan; Ivan K. Baldry; Joss Bland-Hawthorn; Malcolm N. Bremer; Sarah Brough; Michelle E. Cluver; Matthew Colless; Luke J. M. Davies; Boris Häußler; Benne W. Holwerda; Andrew M. Hopkins; Prajwal R. Kafle; Rebecca Kennedy; J. Liske; Steven Phillipps; Cristina Popescu; Edward N. Taylor; Richard J. Tuffs; Eelco van Kampen; A. H. Wright

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Simon P. Driver

University of Western Australia

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Aaron S. G. Robotham

University of Western Australia

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Sarah Brough

University of New South Wales

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Lee S. Kelvin

Liverpool John Moores University

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Amanda J. Moffett

University of Western Australia

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Ivan K. Baldry

Liverpool John Moores University

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Michelle E. Cluver

University of the Western Cape

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