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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

The GALAH survey: Scientific motivation

G. M. De Silva; Kenneth C. Freeman; Joss Bland-Hawthorn; Sarah L. Martell; E. Wylie De Boer; Martin Asplund; Stefan C. Keller; Sanjib Sharma; Daniel B. Zucker; Tomaž Zwitter; Borja Anguiano; Carlos Bacigalupo; D. Bayliss; M.A. Beavis; Maria Bergemann; Simon Campbell; R. Cannon; Daniela Carollo; Luca Casagrande; Andrew R. Casey; G. S. Da Costa; Valentina D'Orazi; Aaron Dotter; Ly Duong; Alexander Heger; Michael J. Ireland; Prajwal R. Kafle; Janez Kos; John C. Lattanzio; Geraint F. Lewis

The Galactic Archaeology with HERMES (GALAH) survey is a large high-resolution spectroscopic survey using the newly commissioned High Efficiency and Resolution Multi-Element Spectrograph (HERMES) on the Anglo-Australian Telescope. The HERMES spectrograph provides high-resolution (R ~ 28 000) spectra in four passbands for 392 stars simultaneously over a 2 deg field of view. The goal of the survey is to unravel the formation and evolutionary history of the Milky Way, using fossil remnants of ancient star formation events which have been disrupted and are now dispersed throughout the Galaxy. Chemical tagging seeks to identify such dispersed remnants solely from their common and unique chemical signatures; these groups are unidentifiable from their spatial, photometric or kinematic properties. To carry out chemical tagging, the GALAH survey will acquire spectra for a million stars down to V ~ 14. The HERMES spectra of FGK stars contain absorption lines from 29 elements including light proton-capture elements, α-elements, odd-Z elements, iron-peak elements and n-capture elements from the light and heavy s-process and the r-process. This paper describes the motivation and planned execution of the GALAH survey, and presents some results on the first-light performance of HERMES.


Monthly Notices of the Royal Astronomical Society | 2017

The GALAH survey: observational overview and Gaia DR1 companion

Sarah L. Martell; Sanjib Sharma; Sven Buder; Ly Duong; Katharine J. Schlesinger; Jeffrey D. Simpson; Karin Lind; Melissa Ness; Martin Asplund; Joss Bland-Hawthorn; Andrew R. Casey; G. M. De Silva; Kenneth C. Freeman; Janez Kos; Jane Lin; Daniel B. Zucker; Tomaž Zwitter; Borja Anguiano; Carlos Bacigalupo; Daniela Carollo; Luca Casagrande; G. S. Da Costa; Jonathan Horner; D. Huber; E. A. Hyde; Prajwal R. Kafle; Geraint F. Lewis; David M. Nataf; Colin A. Navin; D. Stello

The Galactic Archaeology with HERMES (GALAH) Survey is a massive observational project to trace the Milky Ways history of star formation, chemical enrichment, stellar migration and minor mergers. Using high-resolution (R


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

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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

28,000) spectra taken with the High Efficiency and Resolution Multi-Element Spectrograph (HERMES) instrument at the Anglo-Australian Telescope (AAT), GALAH will determine stellar parameters and abundances of up to 29 elements for up to one million stars. Selecting targets from a colour-unbiased catalogue built from 2MASS, APASS and UCAC4 data, we expect to observe dwarfs at 0.3 to 3 kpc and giants at 1 to 10 kpc. This enables a thorough local chemical inventory of the Galactic thin and thick disks, and also captures smaller samples of the bulge and halo. In this paper we present the plan, process and progress as of early 2016 for GALAH survey observations. In our first two years of survey observing we have accumulated the largest high-quality spectroscopic data set at this resolution, over 200,000 stars. We also present the first public GALAH data catalogue: stellar parameters (Teff, log(g), [Fe/H], [alpha/Fe]), radial velocity, distance modulus and reddening for 10680 observations of 9860 Tycho-2 stars that may be included in the first Gaia data release.


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

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 (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 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.


Journal of Astronomical Telescopes, Instruments, and Systems | 2015

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

Andrew Sheinis; Borja Anguiano Jimenez; Martin Asplund; Carlos Bacigalupo; Samuel C. Barden; Michael N. Birchall; Joss Bland-Hawthorn; Jurek Brzeski; Russell D. Cannon; Daniela Carollo; Scott W. Case; Andrew R. Casey; Vladimir Churilov; Warrick J. Couch; Robert Dean; Gayandhi De Silva; V. D’Orazi; Ly Duong; Tony Farrell; Kristin Fiegert; Kenneth C. Freeman; Gabriella Frost; Luke Gers; Michael Goodwin; Doug Gray; Andrew W. Green; Ron Heald; Jeroen Heijmans; Michael J. Ireland; Damien Jones

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 | 2018

relations of z = 0 bulges, discs and spheroids

Simon P. Driver; Stephen K. Andrews; Elisabete da Cunha; Luke J. M. Davies; Claudia del P. Lagos; Aaron S. G. Robotham; Kevin Vinsen; A. H. Wright; Mehmet Alpaslan; Joss Bland-Hawthorn; N. Bourne; Sarah Brough; Malcolm N. Bremer; Michelle E. Cluver; Matthew Colless; Christopher J. Conselice; Loretta Dunne; S. Eales; Haley Louise Gomez; Benne W. Holwerda; Andrew M. Hopkins; Prajwal R. Kafle; Lee S. Kelvin; Jon Loveday; J. Liske; Steve Maddox; Steven Phillipps; Kevin A. Pimbblet; K. Rowlands; Anne E. Sansom

We perform automated bulge + disc decomposition on a sample of


Monthly Notices of the Royal Astronomical Society | 2017

First light results from the High Efficiency and Resolution Multi-Element Spectrograph at the Anglo-Australian Telescope

Janez Kos; Jane Lin; Tomaž Zwitter; Maruška Žerjal; Sanjib Sharma; Joss Bland-Hawthorn; Martin Asplund; Andrew R. Casey; Gayandhi De Silva; Kenneth C. Freeman; Sarah L. Martell; Jeffrey D. Simpson; Katharine J. Schlesinger; Daniel B. Zucker; Borja Anguiano; Carlos Bacigalupo; Timothy R. Bedding; Christopher H. Betters; Gary S. Da Costa; Ly Duong; E. A. Hyde; Michael J. Ireland; Prajwal R. Kafle; Sergio G. Leon-Saval; Geraint F. Lewis; Ulisse Munari; David M. Nataf; D. Stello; C. G. Tinney; Gregor Traven

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Aaron S. G. Robotham

University of Western Australia

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Martin Asplund

Australian National University

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Simon P. Driver

University of Western Australia

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Kenneth C. Freeman

Australian National University

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Ly Duong

Australian National University

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