1. Star cluster properties in two LEGUS galaxies computed with stochastic stellar population synthesis models
- Author
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J. E. Ryon, David A. Thilker, Dimitrios A. Gouliermis, Stacey N. Bright, Erik Zackrisson, Angela Adamo, Michele Fumagalli, Daniela Calzetti, Mark R. Krumholz, Leonardo Ubeda, Linda J. Smith, P. Nair, Hwihyun Kim, Kathryn Grasha, Bradley C. Whitmore, Janice C. Lee, Aida Wofford, Krumholz, M, Adamo, A, Fumagalli, M, Wofford, A, Calzetti, D, Lee, J, Whitmore, B, Bright, S, Grasha, K, Gouliermis, D, Kim, H, Nair, P, Ryon, J, Smith, L, Thilker, D, Ubeda, L, and Zackrisson, E
- Subjects
statistical [Methods] ,Initial mass function ,Stellar population ,Metallicity ,Population ,Posterior probability ,star clusters: general [Galaxies] ,FOS: Physical sciences ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,photometric. [Techniques] ,individual (NGC 628 [Galaxies] ,techniques: photometric ,Prior probability ,education ,data analysis [Methods] ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,galaxies: individual (NGC 628, NGC 7793) ,Astrophysics::Galaxy Astrophysics ,Physics ,education.field_of_study ,methods: statistical ,Astronomy and Astrophysics ,Astrophysics - Astrophysics of Galaxies ,Galaxy ,NGC 7793) ,Star cluster ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,galaxies: star clusters: general ,Astrophysics - Instrumentation and Methods for Astrophysics ,methods: data analysi - Abstract
We investigate a novel Bayesian analysis method, based on the Stochastically Lighting Up Galaxies (slug) code, to derive the masses, ages, and extinctions of star clusters from integrated light photometry. Unlike many analysis methods, slug correctly accounts for incomplete IMF sampling, and returns full posterior probability distributions rather than simply probability maxima. We apply our technique to 621 visually-confirmed clusters in two nearby galaxies, NGC 628 and NGC 7793, that are part of the Legacy Extragalactic UV Survey (LEGUS). LEGUS provides Hubble Space Telescope photometry in the NUV, U, B, V, and I bands. We analyze the sensitivity of the derived cluster properties to choices of prior probability distribution, evolutionary tracks, IMF, metallicity, treatment of nebular emission, and extinction curve. We find that slug's results for individual clusters are insensitive to most of these choices, but that the posterior probability distributions we derive are often quite broad, and sometimes multi-peaked and quite sensitive to the choice of priors. In contrast, the properties of the cluster population as a whole are relatively robust against all of these choices. We also compare our results from slug to those derived with a conventional non-stochastic fitting code, Yggdrasil. We show that slug's stochastic models are generally a better fit to the observations than the deterministic ones used by Yggdrasil. However, the overall properties of the cluster populations recovered by both codes are qualitatively similar., Accepted to ApJ; 25 pages, 17 figures, 3 tables; machine-readable versions of the tables are available at https://sites.google.com/a/ucsc.edu/krumholz/publications
- Published
- 2015