2017
DOI: 10.3847/1538-4357/aa6f15
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The Hierarchical Distribution of the Young Stellar Clusters in Six Local Star-forming Galaxies

Abstract: We present a study of the hierarchical clustering of the young stellar clusters in six local (3-15 Mpc) star-forming galaxies using Hubble Space Telescope broad band WFC3/UVIS UV and optical images from the Treasury Program LEGUS (Legacy ExtraGalactic UV Survey). We have identified 3685 likely clusters and associations, each visually classified by their morphology, and we use the angular two-point correlation function to study the clustering of these stellar systems. We find that the spatial distribution of th… Show more

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Cited by 78 publications
(100 citation statements)
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“…clustered young star clusters and associations) considering the comparable size as observed for local galaxies (e.g. Grasha et al 2017). While the non-ionizing UV photons can escape from most of the star-forming regions, the ionizing photons can only escape from the ones with low H I column density "cavities" in the surrounding ISM.…”
Section: Physical Mechanisms Of the Escaping Lyc Of Ion1mentioning
confidence: 93%
“…clustered young star clusters and associations) considering the comparable size as observed for local galaxies (e.g. Grasha et al 2017). While the non-ionizing UV photons can escape from most of the star-forming regions, the ionizing photons can only escape from the ones with low H I column density "cavities" in the surrounding ISM.…”
Section: Physical Mechanisms Of the Escaping Lyc Of Ion1mentioning
confidence: 93%
“…Star formation proceeds in cold (T < 15, 000K), dense (n th > 10.3cm −3 ) gas and is implemented as described in Stinson et al (2006). In Buck et al (2019c) it was shown that in these kind of simulations only a high value of n th > 10cm −3 (see also Dutton et al 2019, for an extended parameter study) is able to reproduce the clustering of young star clusters observed in the Legacy Extragalactic UV Survey (LEGUS) (Calzetti et al 2015;Grasha et al 2017).…”
Section: Cosmological Zoom-in Simulationsmentioning
confidence: 99%
“…The visual inspection step, either by humans or by a trained algorithm, is the only way to reliably remove non-cluster interlopers The black outline shows the UVIS footprint. Cluster classifications are based off of morphology and our morphological cluster classification is a good approximation to also a dynamical classification (Adamo et al 2017;Grasha et al 2017a;Ryon et al 2017). The typical ages of class 1 clusters are older and show median ages of 90 Myr than the median age of 20 Myr for the class 2 clusters.…”
Section: Visual Inspection and Star Cluster Classificationmentioning
confidence: 99%
“…Thus, M 51 is an excellent benchmark to investigate the clustering nature of star clusters as a function of galactocentric distance in a grand-design spiral, in addition to the connection of the young stellar clusters with maps of molecular clouds, both investigated in this paper. The former has been the main topic of two previous papers (Grasha et al 2015(Grasha et al , 2017a, but not yet performed in such a cluster-rich galaxy to explore trends at sub-galactic scales.…”
Section: Introductionmentioning
confidence: 99%