Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-29T17:58:48.402Z Has data issue: false hasContentIssue false
  • English
  • Français

Maximum likelihood method for fitting the Fundamental Plane of the 6dF Galaxy Survey

Published online by Cambridge University Press:  13 April 2010

C. Magoulas ,
M. Colless ,
D. Jones ,
C. Springob  and
J. Mould
C. Magoulas
Affiliation:
School of Physics, University of Melbourne, Australia
M. Colless
Affiliation:
Anglo-Australian Observatory, Epping, Australia
D. Jones
Affiliation:
Anglo-Australian Observatory, Epping, Australia
C. Springob
Affiliation:
Anglo-Australian Observatory, Epping, Australia
J. Mould
Affiliation:
School of Physics, University of Melbourne, Australia
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.

We have used over 10,000 early-type galaxies from the 6dF Galaxy Survey (6dFGS) to construct the Fundamental Plane across the optical and near-infrared passbands. We demonstrate that a maximum likelihood fit to a multivariate Gaussian model for the distribution of galaxies in size, surface brightness and velocity dispersion can properly account for selection effects, censoring and observational errors, leading to precise and unbiased parameters for the Fundamental Plane and its intrinsic scatter. This method allows an accurate and robust determination of the dependencies of the Fundamental Plane on variations in the stellar populations and environment of early-type galaxies.

Keywords

galaxies: distance and redshiftssurveyslarge-scale structure of Universe
Type
Poster Papers
Information
Proceedings of the International Astronomical Union , Volume 5 , Symposium S262: Stellar Populations – Planning for the Next Decade , August 2009 , pp. 376 - 378
Copyright
Copyright © International Astronomical Union 2010

References

Garguilo, A. et al. 2009, MNRAS, 397, 75CrossRefGoogle Scholar
Graves, G. et al. 2009, ApJ, 693, 486CrossRefGoogle Scholar
Dressler, A. et al. 1987, ApJ, 313, 42CrossRefGoogle Scholar
Jarrett, T. H. et al. 2000, AJ, 119, 2498CrossRefGoogle Scholar
Jones, D. H. et al. 2009, astro-ph/0903.5451v1CrossRefGoogle Scholar
Jones, D. H. et al. 2004, MNRAS, 791, 355Google Scholar
Magoulas, C. et al. 2009, in prep.Google Scholar
Merson, A. et al. 2009, in prep.Google Scholar