Correlating galaxy morphologies and spectra in the 2dF Galaxy Redshift Survey

The correlation between the morphology of a galaxy and its observed optical spectrum is investigated. As an example, 4000 galaxies from the 2dF Galaxy Redshift Survey, which possess both good quality spectra and have visually determined morphologies, are analysed. Of particular use is the separation of early- and late-type galaxies present in a redshift survey since these can then be used in their respective redshift-independent distance estimators (D n -σ and Tully-Fisher). It is determined that galaxies in this sample can be relatively successfully separated into these two types by the use of various statistical methods. These methods are briefly outlined in this paper and are also compared to the default 2dFGRS spectral classification η. In addition it is found that the 4000-A break in the spectrum is the best discriminant in determining its morphological type.

[1]  Brian D. Ripley,et al.  Pattern Recognition and Neural Networks , 1996 .

[2]  S. O. Physics,et al.  The SuperCOSMOS Sky Survey – I. Introduction and description , 2001, astro-ph/0108286.

[3]  A. Naim,et al.  Neural computation as a tool for galaxy classification: methods and examples , 1995, astro-ph/9508012.

[4]  N. Hambly,et al.  The SuperCOSMOS Sky Survey . Paper I : Introduction and Description , 2001 .

[5]  Neural Networks for Pattern Recognitionby , 2022 .

[6]  S.Cole,et al.  The 2dF Galaxy Redshift Survey: spectra and redshifts , 2001, astro-ph/0106498.

[7]  The 2dF Galaxy Redshift Survey: galaxy luminosity functions per spectral type , 2001, astro-ph/0107197.

[8]  THE APM BRIGHT GALAXY CATALOGUE , 1996, astro-ph/9603040.

[9]  E. Hubble The Realm of the Nebulæ , 1956, Nature.

[10]  E. al.,et al.  The Sloan Digital Sky Survey: Technical summary , 2000, astro-ph/0006396.

[11]  S. Maddox,et al.  The APM galaxy survey. I - APM measurements and star-galaxy separation , 1990 .

[12]  R. Davies,et al.  Spectroscopy and photometry of elliptical galaxies. I: a new distance estimator , 1987 .

[13]  O. Lahav,et al.  An artificial neural network approach to the classification of galaxy spectra , 1996, astro-ph/9608073.

[14]  George Efstathiou,et al.  The APM galaxy survey. II Photometric corrections. , 1990 .

[15]  E. Hubble,et al.  Realm of the Nebulae , 1936 .

[16]  A. Szalay,et al.  Spectral classification of galaxies: An Orthogonal approach , 1994, astro-ph/9411044.

[17]  R. Kennicutt A spectrophotometric atlas of galaxies , 1992 .

[18]  Tony Farrell,et al.  The Anglo-Australian Observatory 2dF facility , 2002, astro-ph/0202175.

[19]  M. Skrutskie,et al.  2MASS Extended Source Catalog: Overview and Algorithms , 2000, astro-ph/0004318.

[20]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[21]  F. Murtagh,et al.  Multivariate Data Analysis , 1986 .

[22]  K. Taylor,et al.  The 2dF Galaxy Redshift Survey: spectral types and luminosity functions , 1999, astro-ph/9903456.

[23]  A. Naim,et al.  A Comparative study of morphological classifications of APM galaxies , 1995 .

[24]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[25]  William Wilson Morgan,et al.  A SPECTRAL CLASSIFICATION OF GALAXIES , 1957 .