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.
The vimos public extragalactic redshift survey (VIPERS): Spectral classification through principal component analysis / A. Marchetti, B.R. Granett, I. 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. Iovino, J. 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, F. Branchini, A. Burden, I. Davidzon, C. Di Porto, I. Guennou, C. Marinoni, Y. Mellier, L. Moscardini, R.C. Nichol, J.A. Peacock, W.J. Percival, S. Phleps, C. Schimd, M. Wolk, G. Zamorani. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - 428:2(2013), pp. 1424-1437. [10.1093/mnras/sts132]
The vimos public extragalactic redshift survey (VIPERS): Spectral classification through principal component analysis
I. Guzzo;M. Bersanelli;
2013
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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
sts132.pdf
accesso aperto
Tipologia:
Publisher's version/PDF
Dimensione
2.9 MB
Formato
Adobe PDF
|
2.9 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
