1995
DOI: 10.1086/117587
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Spectral Classification of Galaxies: an Orthogonal Approach

Abstract: Classi cation of galaxy spectral energy distributions in terms of orthogonal basis functions provides an objective means of estimating the number of signi cant spectral components that comprise a particular galaxy type. We apply the Karhunen-Lo eve transform to derive a spectral eigensystem from a sample of ten galaxy spectral energy distributions. These spectra cover a wavelength range of 1200 A to 1 m and galaxy morphologies from elliptical to starburst. We nd that the distribution of spectral types can be f… Show more

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Cited by 211 publications
(306 citation statements)
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“…In this paper the library is constructed by applying the principal component analysis ( PCA) technique (e.g., Connolly et al 1995;Lahav et al 1996;Bromley et al 1998;Eisenstein et al 2003;Yip et al 2004) to a sample of pure absorption-line galaxies.…”
Section: Stellar Subtractionmentioning
confidence: 99%
“…In this paper the library is constructed by applying the principal component analysis ( PCA) technique (e.g., Connolly et al 1995;Lahav et al 1996;Bromley et al 1998;Eisenstein et al 2003;Yip et al 2004) to a sample of pure absorption-line galaxies.…”
Section: Stellar Subtractionmentioning
confidence: 99%
“…Panel a shows the histogram of the galaxy spectral classification parameter eClass as provided by the SDSS for DR1. This spectral classification parameter is based on a principal component analysis method (Connolly et al 1995;Connolly & Szalay 1999). Note that the spectral classification of galaxies by Connolly et al (1995) is slightly different from the one used in SS99 who removed from the analysis the wavelength regions containing emission lines.…”
Section: Overall Properties Of Our Sample Of Normal Galaxiesmentioning
confidence: 99%
“…These include the calculation of rest-frame colors (e.g., Strateva et al 2001); principal component analysis (PCA) based spectral classifications (e.g., Connolly et al 1995;Bromley et al 1998;Folkes et al 1999;Madgwick et al 2002;de Lapparent et al 2003), and other more sophisticated discriminations (e.g., Heavens, Jimenez, & Lahav 2000;Slonim et al 2001), based upon information theory. The underlying theme of all these alternative methods is that they characterize the galaxy population exclusively in terms of their observed spectra.…”
Section: Introductionmentioning
confidence: 99%