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massclean (MASSive CLuster Evolution and ANalysis Package): description, tests, and results

Published online by Cambridge University Press:  18 January 2010

Bogdan Popescu
Affiliation:
Department of Physics, University of Cincinnati, Cincinnati, OH, USA email: popescb@mail.uc.edu, margaret.hanson@uc.edu
M. M. Hanson
Affiliation:
Department of Physics, University of Cincinnati, Cincinnati, OH, USA email: popescb@mail.uc.edu, margaret.hanson@uc.edu
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Abstract

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massclean is a new, sophisticated and robust stellar cluster image and photometry simulation package. This package can create color–magnitude diagrams and standard FITS images in any of the traditional optical and near-infrared bands based on cluster characteristics input by the user, including but not limited to distance, age, mass, radius and extinction. At the limit of very distant, unresolved clusters, we have checked the integrated colors created in massclean against those from other simple stellar population models, with consistent results. Because the algorithm populates the cluster with a discrete number of tenable stars, it can be used as part of a Monte Carlo method to derive the probabilistic range of characteristics (integrated colors, for example) consistent with a given cluster mass and age. We present the first ever mass-dependent integrated colors as a function of age, derived from over 100 000 Monte Carlo runs, which can be used to improve the current age-determination methods for stellar clusters.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2010

References

Bahcall, J. N. & Soneira, R. M. 1984, ApJS, 55, 67CrossRefGoogle Scholar
Bertin, E. 2009, MmSAI, 80, 422Google Scholar
Bruzual, G. 2002, in: Geisler, D., Grebel, E. K. & Minniti, D. (eds.), Extragalactic Star Clusters, Proc. IAU Symp. No. 207, p. 616CrossRefGoogle Scholar
Bruzual, G. & Charlot, S. 2003, MNRAS, 344, 1000CrossRefGoogle Scholar
Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245CrossRefGoogle Scholar
Cerviño, M. & Luridiana, V. 2004, A&A, 413, 145Google Scholar
Cerviño, M. & Luridiana, V. 2006, A&A, 451, 475Google Scholar
Fagiolini, M., Raimondo, G., & Degl'Innocenti, S. 2007, A&A, 462, 107Google Scholar
Hancock, M., Smith, B. J., Giroux, M. L., & Struck, C. 2008, MNRAS, 389, 1470CrossRefGoogle Scholar
Hanson, M. M. & Popescu, B. 2007, BAAS, 39, 836Google Scholar
Hanson, M. M. & Popescu, B. 2008, in: Bresolin, F., Crowther, P. A. & Puls, J., Massive Stars as Cosmic Engines, Proc. IAU Symp. No. 250, p. 307Google Scholar
Hanson, M. M. & Popescu, B. 2009, BAAS, 41, 690Google Scholar
Hanson, M. M., Popescu, B., Larsen, S. S., & Ivanov, V. 2009, in: Corbett, I. F. (ed.), Highlights of Astronomy, Vol. 14, in pressGoogle Scholar
King, I. 1962, AJ, 67, 471CrossRefGoogle Scholar
Kotulla, R., Fritze, U., Weilbacher, P., & Anders, P. 2009, MNRAS, 396, 462CrossRefGoogle Scholar
Kroupa, P. 2002, Science, 295, 82CrossRefGoogle Scholar
Lançon, A. & Mouhcine, M. 2000, in: Lançon, A. & Boily, C., Massive Stellar Clusters, ASP Conf. Ser. 211, p. 34, San Francisco: ASPGoogle Scholar
Lançon, A. & Fouesneau, M. 2009, in: Leitherer, C., Bennett, P. D., Morris, P. W. & van Loon, J. T. (eds.), Hot and Cool: Bridging Gaps in Massive Star Evolution, ASP Conf. Ser., in press (arXiv:0903.4557), San Francisco: ASPGoogle Scholar
Lejeune, T. & Schaerer, D. 2001, A&A, 366, 538Google Scholar
Maraston, C. 2005, MNRAS, 362, 799CrossRefGoogle Scholar
Marigo, P., Girardi, L., Bressan, A., Groenewegen, M. A. T., Silva, L., & Granato, G. L. 2008, A&A, 482, 833Google Scholar
Popescu, B. & Hanson, M. M. 2009, AJ, submitted (arXiv:0811.4210)Google Scholar
Salpeter, E. E. 1955, ApJ, 121, 161SCrossRefGoogle Scholar
Skrutskie, M. F., et al. 2006, AJ, 131, 1163CrossRefGoogle Scholar