Hostname: page-component-848d4c4894-hfldf Total loading time: 0 Render date: 2024-05-10T03:21:45.662Z Has data issue: false hasContentIssue false

A Statistical Comparison of Line Strength Variations in Coma and Cluster Galaxies at z ~ 0·3

Published online by Cambridge University Press:  05 March 2013

Lewis A. Jones*
Affiliation:
School of Physics, University of New South Wales, NSW 2052, Australia
Warrick J. Couch
Affiliation:
School of Physics, University of New South Wales, NSW 2052, 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 present a statistical comparison between spectral line strength variations in Coma galaxies and galaxies in three rich clusters at z ~ 0.3. Using a principal component analysis, we have transformed the observable quantities, the line strengths, into new mutually orthogonal axes and found two specific results. First, more independent parameters are required to account for the line strength variations in the distant cluster data than in the Coma data, and second, line strengths which are not correlated in the distant cluster data are strongly coupled in the Coma data. These results suggest that galaxies in clusters have been homogenised such that most of the information from the conditions present at their formation has been destroyed. Hence, it may be possible that the present-day homogeneity of early-type galaxy properties, e.g. the fundamental plane relation, does not require a single formation scenario, but that a variety of formation scenarios for different galaxies could still yield the observed behaviour of nearby galaxies.

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 1998

References

Caldwell, N., & Rose, J. 1997, AJ, 113, 492 Google Scholar
Caldwell, N., Rose, J., Sharples, R., Ellis, R., & Bower, R. 1993, AJ, 106, 473 Google Scholar
Colless, M., & Dunn, A. 1996, ApJ, 458, 435 Google Scholar
Couch, W., Barger, A., Smail, I., Ellis, R., & Sharples, R. 1998, ApJ, 497, 188 Google Scholar
Couch, W., Ellis, R., Sharples, R., & Smail, I. 1994, ApJ, 430, 121 CrossRefGoogle Scholar
Couch, W., & Sharples, R. 1987, MNRAS, 229, 423 Google Scholar
Djorgovski, S., & Davis, M. 1987, ApJ, 313, 59 Google Scholar
Dressler, A., Lynden-Bell, D., Burstein, D., Davies, R., Faber, S., Terlevich, R., & Wegner, G. 1987, ApJ, 313, 42 Google Scholar
Ellis, R., Smail, I., Dressler, A., Couch, W., Oemler, A., Butcher, H., & Sharples, R. 1997, ApJ, 483, 582 Google Scholar
Faber, S. 1973, ApJ, 179, 731 Google Scholar
Faber, S., & Jackson, R. 1976, ApJ, 204, 668 CrossRefGoogle Scholar
González, J. 1993, PhD thesis, University of California at Santa Cruz Google Scholar
Gorgas, J., Faber, S., Burstein, D., González, J., Courteau, S., & Prosser, C. 1993, ApJS, 86, 153 Google Scholar
Jones, L. 1996, PhD thesis, University of North Carolina at Chapel Hill Google Scholar
O'Connell, R. 1976, ApJ, 206, 370 Google Scholar
Rose, J. 1985a, AJ, 90, 787 Google Scholar
Rose, J. 1985b, AJ, 90, 1927 Google Scholar
Rose, J. 1994, AJ, 107, 206 Google Scholar
Shioya, Y., & Bekki, K. 1998, ApJ, 497, 108 Google Scholar
Tripicco, M., & Bell, R. 1995, AJ, 110, 3035 CrossRefGoogle Scholar
Visvanathan, N., & Sandage, A. 1977, ApJ, 216, 214 Google Scholar
Wood, D. 1969, AJ, 74, 177 Google Scholar
Worthey, G. 1994, ApJS, 95, 107 Google Scholar
Worthey, G., & Ottaviani, D. 1997, ApJS, 111, 377 Google Scholar