570 citations · 3.7k across the 31 of their papers we have counts for
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Galaxy And Mass Assembly (GAMA): Gas Fuelling of Spiral Galaxies in the Local Universe I. - The Effect of the Group Environment on Star Formation in Spiral Galaxies
M. W. Grootes, R. J. Tuffs, C. C. Popescu +20
Abridged - We quantify the effect of the galaxy group environment (for 12.5 < log(M_group/Msun) < 14.0) on the star formation rates of the (morphologically-selected) population of…
The SAMI Galaxy Survey: Revisiting Galaxy Classification Through High-Order Stellar Kinematics
Jesse van de Sande, Joss Bland-Hawthorn, Lisa M. R. Fogarty +36
Recent cosmological hydrodynamical simulations suggest that integral field spectroscopy can connect the high-order stellar kinematic moments h3 (~skewness) and h4 (~kurtosis) in ga…
The SAMI Galaxy Survey: Asymmetry in Gas Kinematics and its links to Stellar Mass and Star Formation
J. V. Bloom, L. M. R. Fogarty, S. M. Croom +23
We study the properties of kinematically disturbed galaxies in the SAMI Galaxy Survey using a quantitative criterion, based on kinemetry (Krajnovic et al.). The approach, similar t…
The SAMI galaxy survey: Galaxy Interactions and Kinematic Anomalies in Abell 119
Sree Oh, Sukyoung K. Yi, Luca Cortese +25
Galaxy mergers are important events that can determine the fate of a galaxy by changing its morphology, star-formation activity and mass growth. Merger systems have commonly been i…
The SAMI Galaxy Survey: Spatially resolving the environmental quenching of star formation in GAMA galaxies
A. L. Schaefer, S. M. Croom, J. T. Allen +32
We use data from the Sydney-AAO Multi-Object Integral Field Spectrograph (SAMI) Galaxy Survey and the Galaxy And Mass Assembly (GAMA) survey to investigate the spatially-resolved s…
The SAMI Galaxy Survey: the link between angular momentum and optical morphology
L. Cortese, L. M. R. Fogarty, K. Bekki +34
We investigate the relationship between stellar and gas specific angular momentum , stellar mass and optical morphology for a sample of 488 galaxies extracted from the S…
Using an Artificial Neural Network to Classify Multi-component Emission Line Fits
Elise J Hampton, Brent Groves, Anne Medling +11
We present The Machine, an artificial neural network (ANN) capable of differentiating between the numbers of Gaussian components needed to describe the emission lines of Integral F…