Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-29T02:26:11.548Z Has data issue: false hasContentIssue false

Markov Chain Monte-Carlo Models of Starburst Clusters

Published online by Cambridge University Press:  23 January 2015

Jorge Melnick*
Affiliation:
European Southern Observatory email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

There are a number of stochastic effects that must be considered when comparing models to observations of starburst clusters: the IMF is never fully populated; the stars can never be strictly coeval; stars rotate and their photometric properties depend on orientation; a significant fraction of massive stars are in interacting binaries; and the extinction varies from star to star. The probability distributions of each of these effects are not a priori known, but must be extracted from the observations. Markov Chain Monte-Carlo methods appear to provide the best statistical approach. Here I present an example of stochastic age effects upon the upper mass limit of the IMF of the Arches cluster as derived from near-IR photometry.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2015 

References

Castelli, F. & Kurucz, R. L. 2003, in Piskunov, N., Weiss, W. W., & Gray, D. F. (eds.), Modelling of Stellar Atmospheres, Vol. 210 of IAU Symposium, p. 20PGoogle Scholar
Crowther, P. A., Schnurr, O., Hirschi, R., et al. 2010, MNRAS 408, 731CrossRefGoogle Scholar
Espinoza, P., Selman, F. J., & Melnick, J. 2009, A&A 501, 563Google Scholar
Melnick, J. 2009, in Revista Mexicana de Astronomia y Astrofisica Conference Series, Vol. 37 of Revista Mexicana de Astronomia y Astrofisica Conference Series, pp 21–31Google Scholar