Papers › The SAMI Galaxy Survey: Σ_(SFR) drives the presence of complex emission line profiles...
The SAMI Galaxy Survey: Σ_(SFR) drives the presence of complex emission line profiles in star-forming galaxies
Henry R. M. Zovaro, J. Trevor Mendel, Brent Groves, Lisa J. Kewley, Matthew Colless, Andrei Ristea, Luca Cortese, Sree Oh, Francesco D'Eugenio, Scott M. Croom, Ángel R. López-Sánchez, Jesse van de Sande, Sarah Brough, Anne M. Medling, Joss Bland-Hawthorn, Julia J. Bryant
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Galactic fountains driven by star formation result in a variety of kinematic structures such as ionised winds and thick gas disks, both of which manifest as complex emission line profiles that can be parametrised by multiple Gaussian components. We use integral field spectroscopy (IFS) from the SAMI Galaxy Survey to spectrally resolve these features, traced by broad Hα components, and distinguish them from the star-forming thin disk, traced by narrow components, in 3068 galaxies in the local Universe. Using a matched sample analysis technique, we demonstrate that the presence of complex emission line profiles in star-forming galaxies is most strongly correlated with the global star formation rate (SFR) surface density of the host galaxy measured within 1Rₑ (Σ_(SFR,Rₑ)), even when controlling for both observational biases, including inclination, amplitude-to-noise and angular scale, and sample biases in parameters such as stellar mass and SFR. Leveraging the spatially resolved nature of the dataset, we determine that the presence of complex emission line profiles within individual spaxels is driven not only by the local Σ_(SFR), but by the Σ_(SFR,Rₑ) of the host galaxy. We also parametrise the clumpiness of the SFR within individual galaxies, and find that Σ_(SFR,Rₑ) is a stronger predictor of the presence of complex emission line profiles than clumpiness. We conclude that, with a careful treatment of observational effects, it is possible to identify structures traced by complex emission line profiles, including winds and thick ionised gas disks, at the spatial and spectral resolution of SAMI using the Gaussian decomposition technique.
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