| Issue |
A&A
Volume 600, April 2017
|
|
|---|---|---|
| Article Number | A54 | |
| Number of page(s) | 9 | |
| Section | Numerical methods and codes | |
| DOI | https://doi.org/10.1051/0004-6361/201630249 | |
| Published online | 29 March 2017 | |
The VIMOS Public Extragalactic Redshift Survey (VIPERS)
PCA-based automatic cleaning and reconstruction of survey spectra⋆
1 INAF–Istituto di Astrofisica Spaziale e Fisica Cosmica Milano, via Bassini 15, 20133 Milano, Italy
2 INAF–Osservatorio Astronomico di Brera, via Brera 28, 20122 Milano, via E. Bianchi 46, 23807 Merate, Italy
3 Università degli Studi di Milano, via G. Celoria 16, 20133 Milano, Italy
4 INAF–Osservatorio Astronomico di Bologna, via Ranzani 1, 40127 Bologna, Italy
5 Aix-Marseille Univ, CNRS, LAM, Laboratoire d’Astrophysique de Marseille, 13388 Marseille 13, France
6 INAF–Osservatorio Astrofisico di Torino, 10025 Pino Torinese, Italy
7 Laboratoire Lagrange, UMR 7293, Université de Nice Sophia Antipolis, CNRS, Observatoire de la Côte d’Azur, 06300 Nice, France
8 Institute of Physics, Jan Kochanowski University, ul. Swietokrzyska 15, 25-406 Kielce, Poland
9 National Centre for Nuclear Research, ul. Hoza 69, 00-681 Warszawa, Poland
10 Dipartimento di Fisica e Astronomia – Alma Mater Studiorum Università di Bologna, viale Berti Pichat 6/2, 40127 Bologna, Italy
11 INFN, Sezione di Bologna, viale Berti Pichat 6/2, 40127 Bologna, Italy
12 Aix-Marseille Université, Jardin du Pharo, 58 bd Charles Livon, 13284 Marseille Cedex 7, France
13 IRAP, 9 av. du colonel Roche, BP 44346, 31028 Toulouse Cedex 4, France
14 Astronomical Observatory of the Jagiellonian University, Orla 171, 30-001 Cracow, Poland
15 School of Physics and Astronomy, University of St Andrews, St Andrews KY16 9SS, UK
16 INAF–Istituto di Astrofisica Spaziale e Fisica Cosmica Bologna, via Gobetti 101, 40129 Bologna, Italy
17 INAF–Istituto di Radioastronomia, via Gobetti 101, 40129 Bologna, Italy
18 Canada-France-Hawaii Telescope, 65–1238 Mamalahoa Highway, Kamuela, HI 96743, USA
19 Aix-Marseille Univ, Univ Toulon, CNRS, CPT, 13453 Marseille, France
20 Dipartimento di Matematica e Fisica, Università degli Studi Roma Tre, via della Vasca Navale 84, 00146 Roma, Italy
21 INFN, Sezione di Roma Tre, via della Vasca Navale 84, 00146 Roma, Italy
22 INAF–Osservatorio Astronomico di Roma, via Frascati 33, 00040 Monte Porzio Catone (RM), Italy
23 Department of Astronomy, University of Geneva, Ch. d’Ecogia 16, 1290 Versoix, Switzerland
24 INAF–Osservatorio Astronomico di Trieste, via G. B. Tiepolo 11, 34143 Trieste, Italy
25 Department of Astronomy & Physics, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
* Corresponding author: A. Marchetti, e-mail: alida@lambrate.inaf.it
Received: 14 December 2016
Accepted: 9 January 2017
Context. Identifying spurious reduction artefacts in galaxy spectra is a challenge for large surveys.
Aims. We present an algorithm for identifying and repairing spurious residual features in sky-subtracted galaxy spectra by using data from the VIMOS Public Extragalactic Redshift Survey (VIPERS) as a test case.
Methods. The algorithm uses principal component analysis (PCA) applied to the galaxy spectra in the observed frame to identify sky line residuals imprinted at characteristic wavelengths. We further model the galaxy spectra in the rest-frame using PCA to estimate the most probable continuum in the corrupted spectral regions, which are then repaired.
Results. We apply the method to ~90 000 spectra from the VIPERS survey and compare the results with a subset for which careful editing was performed by hand. We find that the automatic technique reproduces the time-consuming manual cleaning in a uniform and objective manner across a large data sample. The mask data products produced in this work are released together with the VIPERS second public data release (PDR-2).
Key words: galaxies: statistics / surveys / methods: statistical
based on observations collected at the European Southern Observatory, Cerro Paranal, Chile, using the Very Large Telescope under programs 182.A-0886 and partly 070.A-9007. Also based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA at the Canada-France-Hawaii Telescope (CFHT), that is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences de l’Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre as part of the Canada-France-Hawaii Telescope Legacy Survey, which is a collaborative project of NRC and CNRS. The VIPERS web site is http://www.vipers.inaf.it/.
© ESO, 2017
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