4.7 Article

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

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 428, Issue 2, Pages 1424-1437

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/sts132

Keywords

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

Funding

  1. PRIN INAF
  2. Polish Ministry of Science [N N203 512938]
  3. POLSIH-SWISS ASTRO PROJECT
  4. Switzerland through the Swiss Contribution
  5. Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Foreign Researchers [P11802]
  6. European Research Council [202781]
  7. STFC [ST/J500665/1, ST/I001204/1, ST/J001422/1] Funding Source: UKRI
  8. Science and Technology Facilities Council [ST/J001422/1, ST/I001204/1, ST/J500665/1] Funding Source: researchfish
  9. Grants-in-Aid for Scientific Research [11F01802] Funding Source: KAKEN

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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.

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