Multi-Scale Stellar Associations across the Star Formation Hierarchy in PHANGS-HST Nearby Galaxies: Methodology and Properties
Kirsten L. Larson, Janice C. Lee, David A. Thilker, Bradley C., Whitmore, Sinan Deger, James Lilly, Rupali Chandar, Daniel A. Dale, Frank, Bigiel, Kathryn Grasha, Brent Groves, Ralf S. Klessen, Kathryn Kreckel, J. M., Diederik Kruijssen, Adam K. Leroy, Hsi-An Pan

TL;DR
This paper introduces a new multi-scale method to identify and analyze stellar associations in nearby galaxies using HST imaging, revealing their properties and relation to star formation across different spatial scales.
Contribution
The paper presents a novel watershed-based algorithm for multi-scale identification of stellar associations, improving the census of recent star formation in galaxies.
Findings
Associations' median ages increase with spatial scale from 8 to 64 pc.
Young associations (<3 Myr) closely trace H ii regions.
The method provides a more complete census of recent star formation.
Abstract
We develop a method to identify and determine the physical properties of stellar associations using Hubble Space Telescope (HST) NUV-U-B-V-I imaging of nearby galaxies from the PHANGS-HST survey. We apply a watershed algorithm to density maps constructed from point source catalogues Gaussian smoothed to multiple physical scales from 8 to 64 pc. We develop our method on two galaxies that span the distance range in the PHANGS-HST sample: NGC 3351 (10 Mpc), NGC 1566 (18 Mpc). We test our algorithm with different parameters such as the choice of detection band for the point source catalogue (NUV or V), source density image filtering methods, and absolute magnitude limits. We characterise the properties of the resulting multi-scale associations, including sizes, number of tracer stars, number of associations, photometry, as well as ages, masses, and reddening from Spectral Energy…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
