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Pre-main-sequence stars in the stellar association N 11 in the Large Magellanic Cloud: clustering properties

Published online by Cambridge University Press:  18 January 2010

Antonella Vallenari
Affiliation:
INAF, Padova Observatory, Vicolo Osservatorio 5, 35122 Padova, Italy email: [email protected]
Rosanna Sordo
Affiliation:
INAF, Padova Observatory, Vicolo Osservatorio 5, 35122 Padova, Italy email: [email protected]
Emanuela Chiosi
Affiliation:
INAF, Padova Observatory, Vicolo Osservatorio 5, 35122 Padova, Italy email: [email protected]
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Abstract

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Magellanic Clouds are of extreme importance to study the star-formation process in low-metallicity environments. Here, we discuss the clustering properties of the pre-main-sequence candidates and young embedded stellar objects in N 11, located in the Large Magellanic Cloud. Deep archival HST/ACS photometry is used to derive color–magnitude diagrams of the associations in N 11 and of the foreground field population. These data are complemented by archival infrared Spitzer data which allow detection of young embedded stellar objects. The spatial distribution of the pre-main-sequence candidates and young embedded stellar objects is discussed. The degree of clustering is derived using the minimal-spanning-tree method. No significant difference is found in clustering degree of young blue main-sequence stars and faint pre-main-sequence candidates, suggesting that they might be part of the same formation process.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2010

References

Bica, E. L. D., Schmitt, H. R., Dutra, C. M., & Oliveira, H. L. 1999, AJ, 117, 238CrossRefGoogle Scholar
Chiosi, E. & Vallenari, A. 2006, A&A, 452, 179Google Scholar
Chiosi, E. & Vallenari, A. 2007, A&A, 466, 165Google Scholar
Hatano, H., et al. 2006, AJ, 132, 2653CrossRefGoogle Scholar
Israel, F. P., de Graauw, T., Johansson, L. E. B., Booth, R. S., Boulanger, F., Garay, G., Kutner, M. L., Lequeux, J., Nyman, L.-A., & Rubio, M. 2003, A&A, 401, 99Google Scholar
Mac Low, M. M., Chang, T. H., Chu, Y.-H., Points, S. D., Smith, R. C., & Wakker, B. P, 1998, ApJ, 493, 260CrossRefGoogle Scholar
Mokiem, M. R., et al. 2007, A&A, 465, 1003Google Scholar
Meixner, M., et al. 2006, AJ, 132, 2268CrossRefGoogle Scholar
Schmeja, S. & Klessen, R. S. 2006, A&A, 449, 151Google Scholar
Schmeja, S., Gouliermis, D. A., & Klessen, R. S. 2009, ApJ, 694, 367CrossRefGoogle Scholar
Vallenari, A., 2008 MmSAI, 79, 448Google Scholar
Vallenari, A., Sordo, S., & Chiosi, E. 2009, A&A, submittedGoogle Scholar