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Zovaro, Henry R M; Mendel, J Trevor; Groves, Brent; Kewley, Lisa J; Colless, Matthew; Ristea, Andrei; Cortese, Luca; Oh, Sree; D’Eugenio, Francesco; Croom, Scott M; López-Sánchez, Ángel R; van de Sande, Jesse; Brough, Sarah; Medling, Anne M; Bland-Hawthorn, Joss; Bryant, Julia J
Monthly Notices of the Royal Astronomical Society, 11/2023, Letnik: 527, Številka: 3Journal Article
ABSTRACT Galactic fountains driven by star formation result in a variety of kinematic structures such as ionized winds and thick gas discs, both of which manifest as complex emission-line profiles that can be parametrized by multiple Gaussian components. We use integral field spectroscopy from the SAMI Galaxy Survey to spectrally resolve these features, traced by broad ${\rm H}\alpha$ components, and distinguish them from the star-forming (SF) thin disc, 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 SF galaxies is most strongly correlated with the global star formation rate (SFR) surface density of the host galaxy measured within 1Re ($\Sigma _{{\rm SFR},\, R_{\rm e}}$), 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 data set, we determine that the presence of complex emission-line profiles within individual spaxels is driven not only by the local ΣSFR, but by the $\Sigma _{{\rm SFR},\, R_{\rm e}}$ of the host galaxy. We also parametrize the clumpiness of the SFR within individual galaxies, and find that $\Sigma _{{\rm SFR},\, R_{\rm e}}$ 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 ionized gas discs, at the spatial and spectral resolution of SAMI using the Gaussian decomposition technique.
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