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Open cluster characterization via cross-correlation with a spectral library

Published online by Cambridge University Press:  18 January 2010

Francisco F. S. Maia
Affiliation:
Universidade Federal de Minas Gerais, ICEx, Dept. de Física, Av. Antônio Carlos, 6627, Belo Horizonte 31270-901, MG, Brazil email: ffsmaia@ufmg.br, jfcsj@ufmg.br, wag@ufmg.br
João F. C. Santos
Affiliation:
Universidade Federal de Minas Gerais, ICEx, Dept. de Física, Av. Antônio Carlos, 6627, Belo Horizonte 31270-901, MG, Brazil email: ffsmaia@ufmg.br, jfcsj@ufmg.br, wag@ufmg.br
Wagner J. B. Corradi
Affiliation:
Universidade Federal de Minas Gerais, ICEx, Dept. de Física, Av. Antônio Carlos, 6627, Belo Horizonte 31270-901, MG, Brazil email: ffsmaia@ufmg.br, jfcsj@ufmg.br, wag@ufmg.br
Andrés E. Piatti
Affiliation:
Instituto de Astronomía y Física del Espacio, CC67, Suc. 28, 1428 Buenos Aires, Argentina email: andres@iafe.uba.ar
Corresponding
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Abstract

We present a characterization method based on spectral cross-correlation to obtain the physical parameters of the controversial stellar aggregate ESO442–SC04. The data used was obtained with GMOS at the Gemini South telescope, and includes spectra of 17 stars in the central region of the object and 6 standard stars. fxcor was used iteratively to obtain self-consistent radial velocities for the standard stars and average radial velocities for the science spectra. Spectral types, effective temperatures, surface gravities and metallicities were determined using fxcor to correlate cluster spectra with the ELODIE spectral library and select the best correlation matches using the Tonry & Davis ratio. Analysis of the results suggests that the stars in ESO442–SC04 are not bound and, therefore, they do not constitute a physical system.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2010

References

Bica, E., Santiago, B. X., Dutra, C. M., Dottori, H., de Oliveira, M. R., & Pavani, D. 2001, A&A, 366, 827Google Scholar
Carraro, G., Dinescu, D. I., Girard, T. M., & vanAltena, W. F. Altena, W. F. 2005, A&A, 433, 143Google Scholar
Nordström, B., Mayor, M., Andersen, J., Holmberg, J., Pont, F., Jørgensen, B. R., Olsen, E. H., Udry, S., & Mowlavi, N. 2004, A&A, 418, 989Google Scholar
Pavani, D. B. & Bica, E. 2007, A&A, 468, 139Google Scholar
Portegies Zwart, S. F., McMillan, S. L. W., Hut, P., & Makino, J. 2001, MNRAS, 321, 199CrossRefGoogle Scholar
Prugniel, P. & Soubiran, C. 2001, A&A, 369, 1048Google Scholar
Tonry, J. & Davis, M. 1979, AJ, 84, 1511CrossRefGoogle Scholar

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