437 citations · 1.9k across the 37 of their papers we have counts for
8 papers · 1 filter
Galaxy And Mass Assembly: Automatic Morphological Classification of Galaxies Using Statistical Learning
Sreevarsha Sreejith, Sergiy Pereverzyev, Lee S. Kelvin +15
We apply four statistical learning methods to a sample of galaxies () from the Galaxy and Mass Assembly (GAMA) survey to test the feasibility of using automated algo…
GAMA/G10-COSMOS/3D-HST: The 0<z<5 cosmic star-formation history, stellar- and dust-mass densities
Simon P. Driver, Stephen K. Andrews, Elisabete da Cunha +30
We use the energy-balance code MAGPHYS to determine stellar and dust masses, and dust corrected star-formation rates for over 200,000 GAMA galaxies, 170,000 G10-COSMOS galaxies and…
Galaxy Zoo: Secular evolution of barred galaxies from structural decomposition of multi-band images
Sandor J. Kruk, Chris J. Lintott, Steven P. Bamford +9
We present the results of two-component (disc+bar) and three-component (disc+bar+bulge) multiwavelength 2D photometric decompositions of barred galaxies in five SDSS bands (…
The diversity of assembly histories leading to disc galaxy formation in a LambdaCDM model
Andreea S. Font, Ian G. McCarthy, Amandine M. C. Le Brun +2
[Abridged] Typical disc galaxies forming in a LambdaCDM cosmology encounter a violent environment, where they often experience mergers with massive satellites. The fact that disc g…
Galaxy And Mass Assembly (GAMA): The Consistency of GAMA and WISE Derived Mass-to-Light Ratios
T. Kettlety, J. Hesling, S. Phillipps +11
Recent work has suggested that mid-IR wavelengths are optimal for estimating the mass-to-light ratios of stellar populations and hence the stellar masses of galaxies. We compare st…
Galaxy And Mass Assembly: the evolution of the cosmic spectral energy distribution from z = 1 to z = 0
Stephen K. Andrews, Simon P. Driver, Luke J. M. Davies +15
We present the evolution of the Cosmic Spectral Energy Distribution (CSED) from . Our CSEDs originate from stacking individual spectral energy distribution fits based on…