249 citations · 634 across the 12 of their papers we have counts for
12 papers
Deep Extragalactic VIsible Legacy Survey (DEVILS): First Data Release Covering The D10 (COSMOS) Region
L. J. M. Davies, M. Bravo, R. H. W. Cook +18
The Deep Extragalactic VIsible Legacy Survey (DEVILS) is a deep, high-completeness multi-wavelength survey based around spectroscopic observations using the Anglo-Australian Telesc…
The Emergence of Bulges and Disks in the Universe
Abdolhosein Hashemizadeh
This thesis makes use of the imaging data from the Advanced Camera for Surveys (ACS) of the Hubble Space Telescope (HST) in the Cosmic Evolution Survey (COSMOS) and the Deep Extrag…
Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions
Simon P. Driver, Sabine Bellstedt, Aaron S. G. Robotham +67
In Galaxy And Mass Assembly Data Release 4 (GAMA DR4), we make available our full spectroscopic redshift sample. This includes 248682 galaxy spectra, and, in combination with earli…
Deep Extragalactic VIsible Legacy Survey (DEVILS): The emergence of bulges and decline of disk growth since
Abdolhosein Hashemizadeh, Simon P. Driver, Luke J. M. Davies +10
We present a complete structural analysis of the ellipticals (E), diffuse bulges (dB), compact bulges (cB), and disks (D) within a redshift range , and stellar mass $\lo…
Deep Extragalactic VIsible Legacy Survey (DEVILS): Consistent multi-wavelength photometry for the DEVILS regions (COSMOS, XMMLSS & ECDFS)
L. J. M. Davies, J. E. Thorne, A. S. G. Robotham +23
The Deep Extragalactic VIsible Legacy Survey (DEVILS) is an ongoing high-completeness, deep spectroscopic survey of 60,000 galaxies to Y21.2 mag, over 6 deg2 in thre…
SeeingGAN: Galactic image deblurring with deep learning for better morphological classification of galaxies
Fang Kai Gan, Kenji Bekki, Abdolhosein Hashemizadeh
Classification of galactic morphologies is a crucial task in galactic astronomy, and identifying fine structures of galaxies (e.g., spiral arms, bars, and clumps) is an essential i…
Deep Extragalactic VIsible Legacy Survey (DEVILS): Stellar Mass Growth by Morphological Type since
Abdolhosein Hashemizadeh, Simon P. Driver, Luke J. M. Davies +13
Using high-resolution Hubble Space Telescope imaging data, we perform a visual morphological classification of galaxies at in the DEVILS/COSMOS region. As the…
GAMA/DEVILS: Constraining the cosmic star-formation history from improved measurements of the 0.3-2.2 micron Extragalactic Background Light
Soheil Koushan, Simon P. Driver, Sabine Bellstedt +12
We present a revised measurement of the optical extragalactic background light (EBL), based on the contribution of resolved galaxies to the integrated galaxy light (IGL). The cosmi…
Galaxy And Mass Assembly (GAMA): Assimilation of KiDS into the GAMA database
Sabine Bellstedt, Simon P. Driver, Aaron S. G. Robotham +9
The Galaxy And Mass Assembly Survey (GAMA) covers five fields with highly complete spectroscopic coverage ( per cent) to intermediate depths ( or mag), and…
Deep Extragalactic VIsible Legacy Survey (DEVILS): Motivation, Design and Target Catalogue
L. J. M. Davies, A. S. G. Robotham, S. P. Driver +26
The Deep Extragalactic VIsible Legacy Survey (DEVILS) is a large spectroscopic campaign at the Anglo-Australian Telescope (AAT) aimed at bridging the near and distant Universe by p…
Galaxy and Mass Assembly (GAMA): Variation in Galaxy Structure Across the Green Valley
Lee S. Kelvin, Malcolm N. Bremer, Steven Phillipps +26
Using a sample of 472 local Universe (z<0.06) galaxies in the stellar mass range 10.25 < log M*/M_sun < 10.75, we explore the variation in galaxy structure as a function of morphol…
Merger history of central galaxies in Semi-Analytic Models of galaxy formation
Mojtaba Raouf, Habib G. Khosroshahi, Gary A. Mamon +3
We investigate the dynamical evolution of galaxies in groups with different formation epochs. Galaxy groups have been selected to be in different dynamical states, namely dynamical…