The VIMOS Public Extragalactic Redshift Survey (VIPERS): spectral classification through principal component analysis

A. Marchetti, B. R. Granett, L. Guzzo, A. Fritz, B. Garilli, M. Scodeggio, U. Abbas, C. Adami, S. Arnouts, M. Bolzonella, D. Bottini, A. Cappi, J. Coupon, O. Cucciati, G. De Lucia, S. de la Torre, P. Franzetti, M. Fumana, O. Ilbert, A. IovinoJ. Krywult, V. Le Brun, O. Le Fevre, D. Maccagni, K. Malek, F. Marulli, H. J. McCracken, B. Meneux, L. Paioro, M. Polletta, A. Pollo, H. Schlagenhaufer, L. Tasca, R. Tojeiro, D. Vergani, A. Zanichelli, J. Bel, M. Bersanelli, J. Blaizot, E. Branchini, A. Burden, I. Davidzon, C. Di Porto, L. Guennou, C. Marinoni, Y. Mellier, L. Moscardini, R. C. Nichol, J. A. Peacock, W. J. Percival, S. Phleps, C. Schimd, M. Wolk, G. Zamorani

Research output: Contribution to journalArticlepeer-review

Abstract

We develop a Principal Component Analysis aimed at classifying a subset of 27 350 spectra of galaxies in the range 0.4 < z < 1.0 collected by the VIMOS Public Extragalactic Redshift Survey (VIPERS). We apply an iterative algorithm to simultaneously repair parts of spectra affected by noise and/or sky residuals, and reconstruct gaps due to rest-frame transformation, and obtain a set of orthogonal spectral templates that span the diversity of galaxy types. By taking the three most significant components, we find that we can describe the whole sample without contamination from noise. We produce a catalogue of eigencoefficients and template spectra that will be part of future VIPERS data releases. Our templates effectively condense the spectral information into two coefficients that can be related to the age and star formation rate of the galaxies. We examine the spectrophotometric types in this space and identify early, intermediate, late and starburst galaxies.
Original languageEnglish
Pages (from-to)1424-1437
JournalMonthly Notices of the Royal Astronomical Society
Volume428
Issue number2
Early online date29 Oct 2012
DOIs
Publication statusPublished - 11 Jan 2013

Keywords

  • methods: data analysis
  • techniques: spectroscopic
  • galaxies: fundamental parameters
  • galaxies: general

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