506 citations · 2.5k across the 31 of their papers we have counts for
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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…
DYNAMO-HST Survey: Clumps in Nearby Massive Turbulent Disks and the Effects of Clump Clustering on Kiloparsec Scale Measurements of Clumps
David B. Fisher, Karl Glazebrook, Ivana Damjanov +6
We present 100 pc resolution Hubble Space Telescope H images of 10 galaxies from the DYnamics of Newly-Assembled Massive Objects (DYNAMO) survey of low- turbulent disk…
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…