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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Galaxy and mass assembly (GAMA): UgrizYJHK sérsic luminosity functions and the cosmic spectral energy distribution by hubble type
Monthly Notices of the Royal Astronomical Society, Volume 439, No. 2, Year 2014
Notification
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Description
We report the morphological classification of 3727 galaxies from the Galaxy and Mass Assembly survey with Mr < -17.4 mag and in the redshift range 0.025 < z <0.06 (2.1 × 105 Mpc3) into E, S0-Sa, SB0-SBa, Sab-Scd, SBab-SBcd, Sd-Irr and little blue spheroid classes. Approximately 70 per cent of galaxies in our sample are disc-dominated systems, with the remaining ã30 per cent spheroid dominated. We establish the robustness of our classifications, and use them to derive morphological-type luminosity functions and luminosity densities in the ugrizYJHK passbands, improving on prior studies that split by global colour or light profile shape alone. We find that the total galaxy luminosity function is best described by a double-Schechter function while the constituent morphological-type luminosity functions are well described by a single-Schechter function. These data are also used to derive the star formation rate densities for each Hubble class, and the attenuated and unattenuated (corrected for dust) cosmic spectral energy distributions, i.e. the instantaneous energy production budget. While the observed optical/near-IR energy budget is dominated 58:42 by galaxies with a significant spheroidal component, the actual energy production rate is reversed, i.e. the combined disc-dominated populations generate ̃1.3 times as much energy as the spheroid-dominated populations. On the grandest scale, this implies that chemical evolution in the local Universe is currently largely confined to mid-type spiral classes like our Milky Way. © 2014 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society.
Authors & Co-Authors
Kelvin, Lee S.
Austria, Innsbruck
Universität Innsbruck
United Kingdom, St Andrews
University of st Andrews
Australia, Perth
The University of Western Australia
Driver, Simon P.
United Kingdom, St Andrews
University of st Andrews
Australia, Perth
The University of Western Australia
Robotham, Aaron S.G.
United Kingdom, St Andrews
University of st Andrews
Australia, Perth
The University of Western Australia
Graham, Alister W.
Australia, Hawthorn
Swinburne University of Technology
Phillipps, Steven
United Kingdom, Bristol
University of Bristol
Agius, Nicola K.
United Kingdom, Preston
University of Central Lancashire
Alpaslan, Mehmet
United Kingdom, St Andrews
University of st Andrews
Australia, Perth
The University of Western Australia
Baldry, Ivan K.
United Kingdom, Liverpool
Liverpool John Moores University
Bamford, Steven P.
United Kingdom, Nottingham
University of Nottingham
Bland-Hawthorn, Joss
Australia, Sydney
The University of Sydney
Brough, Sarah
Australia
Australian Astronomical Observatory
Brown, Michael J.I.
Australia, Clayton
Monash University
Colless, Matthew
Australia, Canberra
The Australian National University
Conselice, Christopher J.
United Kingdom, Nottingham
University of Nottingham
Hopkins, Andrew M.
Australia
Australian Astronomical Observatory
Liske, Jochen
Germany, Garching Bei Munchen
European Southern Observatory
Loveday, Jon N.
United Kingdom, Brighton
University of Sussex
Norberg, Peder R.
United Kingdom, Durham
Durham University
Pimbblet, Kevin A.
Australia, Clayton
Monash University
United Kingdom, Oxford
University of Oxford
United Kingdom, Hull
University of Hull
Popescu, Cristina C.
United Kingdom, Preston
University of Central Lancashire
Prescott, Matthew
South Africa, Bellville
University of the Western Cape
Taylor, Edward N.
Australia, Melbourne
School of Physics
Tuffs, Richard J.
Germany, Heidelberg
Max-planck-institut Für Kernphysik
Statistics
Citations: 70
Authors: 23
Affiliations: 20
Identifiers
Doi:
10.1093/mnras/stt2391
ISSN:
00358711
e-ISSN:
13652966
Study Design
Cross Sectional Study
Study Approach
Quantitative