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Hα and FUV luminosities from a stochastically formed stellar population

Published online by Cambridge University Press:  17 August 2012

Nidia Lugo Lopez L. ,
Gladis Magris C.  and
Antonio Parravano
Nidia Lugo Lopez L.
Affiliation:
Universidad de los Andes email: [email protected], [email protected] Centro de Investigaciones de Astronomía (CIDA), Apdo. Postal 264, 5101-A, Mérida, Venezuela email: [email protected]
Gladis Magris C.
Affiliation:
Centro de Investigaciones de Astronomía (CIDA), Apdo. Postal 264, 5101-A, Mérida, Venezuela email: [email protected]
Antonio Parravano
Affiliation:
Universidad de los Andes email: [email protected], [email protected]
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Abstract

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It has been observed that the ratio of Hα to FUV luminosity (LHα/LFUV) is lower in low surface brightness galaxies. This behaviour has been attributed to systematic variations of the upper mass end and/or the slope of the Initial Mass Function (IMF) Meurer et al. (2009) and Lee et al. (2009)). However these hypotheses do not explain the observed scatter in luminosity ratio (LHα/LFUV). We present a model for the total LHα and LFUV luminosity arising from a randomly populated IMF following the Salpeter power law and the clustering law of Oey & Clarke (2007).

Keywords

methods: numericalstars: mass functiongalaxies: star clusters
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 7 , Symposium S284: The Spectral Energy Distribution of Galaxies , September 2011 , pp. 53 - 55
Copyright
Copyright © International Astronomical Union 2012

References

Calzetti, D., Chandar, R., Lee, J., Elmegreen, B., Kennicutt, R., & Whitmore, B. 2010, ApJ, 719, 158CrossRefGoogle Scholar
Fumagalli, M., da Silva, R. L., & Krumholz, M. R. 2011, ApJL, 741, 264CrossRefGoogle Scholar
Kennicutt, R. C., Lee, J. C., Funes, S. J., Jose, G., Sakai, S., & Akiyama, S. 2008, ApJS, 178, 274CrossRefGoogle Scholar
Lamb, J. B., Oey, M. S., Werk, J. K., & Ingleby, L. D. 2011, ApJ, 725, 1886CrossRefGoogle Scholar
Lee, J. C., Gil de Paz, A., Tremonti, C., Kennicutt, J., Salim, S., Bothwell, M., Calzetti, D., Dalcanton, J., Dale, D., Engelbracht, C., Funes, S., Johnson, B., Sakai, S., Skillman, E., van Zee, L., Walter, F., & Weisz, D. 2009, ApJ, 706, 599CrossRefGoogle Scholar
Meurer, G. R., Wong, O. I., Kim, J. H., Hanish, D. J., Heckman, T. M., Werk, J., Bland-Hawthorn, J., Dopita, M. A., Zwaan, M. A., Koribalski, B., Seibert, M., Thilker, D. A., Ferguson, H. C., Webster, R. L., Putman, M. E., Knezek, P. M., Doyle, M. T., Drinkwater, M. J., Hoopes, C. G., Kilborn, V. A., Meyer, M., Ryan-Weber, E. V., Smith, R. C., & Staveley-Smith, L. 2009, ApJ, 695, 765CrossRefGoogle Scholar
Oey, M. & Clarke, C. 2007, ApJ, 719, 158Google Scholar
Parravano, A., Hollenbach, D., & McKee, C. 2003, ApJ, 584, 797CrossRefGoogle Scholar
Parravano, A., McKee, C., & Hollenbach, D. 2011, ApJ, 726, 27CrossRefGoogle Scholar
Weisz, D. R., Johnson, B., Johnson, L., Skillman, E. D., Lee, J. C., Kennicutt, R. C., Calzetti, D., van Zee, L., Bothwell, M., Dalcanton, J. J., Dale, D. A., & Williams, B. F. 2011, ArXiv:1109.2905v1Google Scholar