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Published June 10, 2020 | Published + Accepted Version
Journal Article Open

Age Dependence of Mid-infrared Emission around Young Star Clusters

Abstract

Using the star cluster catalogs from the Hubble Space Telescope program Legacy Extragalactic UV survey (LEGUS) and 8 μm images from the IRAC camera on the Spitzer Space Telescope for five galaxies within 5 Mpc, we investigate how the 8 μm dust luminosity correlates with the stellar age on the 30–50 pc scale of star-forming regions. We construct a sample of 97 regions centered at local peaks of 8 μm emission, each containing one or more young star cluster candidates from the LEGUS catalogs. We find a tight anticorrelation with a Pearson correlation coefficient of r = −0.84 ± 0.05 between the mass-normalized dust-only 8 μm luminosity and the age of stellar clusters younger than 1 Gyr; the 8 μm luminosity decreases with increasing age of the stellar population. Simple assumptions on a combination of stellar and dust emission models reproduce the observed trend. We also explore how the scatter of the observed trend depends on assumptions of stellar metallicity, polycyclic aromatic hydrocarbon (PAH) abundance, fraction of stellar light absorbed by dust, and instantaneous versus continuous star formation models. We find that variations in stellar metallicity have little effect on the scatter, while PAH abundance and the fraction of dust-absorbed light bracket the full range of the data. We also find that the trend is better explained by continuous star formation, rather than instantaneous burst models. We ascribe this result to the presence of multiple star clusters with different ages in many of the regions. Upper limits of the dust-only 8 μm emission as a function of age are provided.

Additional Information

© 2020 The American Astronomical Society. Received 2019 December 23; revised 2020 May 1; accepted 2020 May 5; published 2020 June 9. The authors would like to thank B. T. Draine for helpful discussions. This work is supported by the National Key R&D Program of China (2017YFA0402600) and the National Natural Science Foundation of China (NSFC, Nos. 11421303, 11433005, and 11973038). Z.L. gratefully acknowledges support from the China Scholarship Council (No. 201806340211). Software: APLpy (Robitaille & Bressert 2012), Astropy (Astropy Collaboration et al. 2013, 2018), IPython (Pérez & Granger 2007), IRAF (Tody 1986, 1993), Matplotlib (Hunter 2007), MPFIT (Markwardt 2009), Numpy (Oliphant 2006), Photutils (Bradley et al. 2019), Starburst99 (Leitherer et al. 1999; Vázquez & Leitherer 2005).

Attached Files

Published - Lin_2020_ApJ_896_16.pdf

Accepted Version - 2005.02446.pdf

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Additional details

Created:
August 22, 2023
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October 20, 2023