MASSCLEAN - MASSive CLuster Evolution and ANalysis Package - A New Tool For Stellar Clusters

Details MASSCLEAN - MASSive CLuster Evolution and ANalysis Package - A New Tool For Stellar Clusters MASSCLEAN - MASSive CLuster Evolution and ANalysis Package - A New Tool For Stellar Clusters

Jan 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21742701p&link_type=abstract

American Astronomical Society, AAS Meeting #217, #427.01; Bulletin of the American Astronomical Society, Vol. 43, 2011

Astronomy and Astrophysics

Astronomy

Scientific paper

For many Milky Way clusters it is difficult to be observed because they are obscured by the dust in the disk of our Galaxy. The clusters from the Local Group and beyond are too distant, so only their integrated properties could be used most of the time. There is one way to analyze the observational data, to search for clusters, and to describe them: simulations.
MASSCLEAN (MASSive CLuster Evolution and ANalysis) package was developed to provide a better characterization of Galactic clusters, to derive selection effects of current surveys, and to provide information about the extra-galactic clusters.
Simulations of known Galactic clusters are used to get better constraints on their parameters, like mass, age, extinction, chemical composition, distance. This is the traditional way to describe the Galactic clusters, fitting the data using the available models. The difference is that MASSCLEAN simulations provide a consistent set of parameters.
The majority of extra-galactic clusters are known only from their integrated properties. The current models for stellar populations are available only in the infinite mass limit. But the real clusters have a finite mass, and their integrated colors show a large dispersion (stochastic fluctuations). The description of the variation of integrated colors as a function of mass and age lead to the creation of MASSCLEANcolors database, based on 70 million Monte Carlo simulations. Since the database entries form a consistent set of integrated colors, integrated magnitudes, age and mass, they can be used to improve the current age and mass determinations. The accuracy could be improved only by solving for age and mass together, and this is done by MASSCLEANage. The results for over 900 clusters provide a new look to the LMC cluster population and could be used to study the possible mass dependence of cluster lifetime, dissolution time and infant mortality.

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