The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra

A. Marchetti; B. Garilli; B. R. Granett; L. Guzzo; A. Iovino; M. Scodeggio; M. Bolzonella; S. de la Torre; U. Abbas; C. Adami; D. Bottini; A. Cappi; O. Cucciati; I. Davidzon; P. Franzetti; A. Fritz; J. Krywult; V. Le Brun; O. Le Fèvre; D. Maccagni; K. Małek; F. Marulli; M. Polletta; A. Pollo; L. A. M. Tasca; R. Tojeiro; D. Vergani; A. Zanichelli; S. Arnouts; J. Bel; E. Branchini; J. Coupon; G. De Lucia; O. Ilbert; T. Moutard; L. Moscardini; G. Zamorani

doi:10.1051/0004-6361/201630249

The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra

A. Marchetti, B. Garilli, B. R. Granett, L. Guzzo, A. Iovino, M. Scodeggio, M. Bolzonella, S. de la Torre, U. Abbas, C. Adami, D. Bottini, A. Cappi, O. Cucciati, I. Davidzon, P. Franzetti, A. Fritz, J. Krywult, V. Le Brun, O. Le Fèvre, D. MaccagniK. Małek, F. Marulli, M. Polletta, A. Pollo, L. A. M. Tasca, R. Tojeiro, D. Vergani, A. Zanichelli, S. Arnouts, J. Bel, E. Branchini, J. Coupon, G. De Lucia, O. Ilbert, T. Moutard, L. Moscardini, G. Zamorani

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

Abstract

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).

Original language	English
Article number	A54
Number of pages	9
Journal	Astronomy & Astrophysics
Volume	600
Early online date	29 Mar 2017
DOIs	https://doi.org/10.1051/0004-6361/201630249
Publication status	Published - Apr 2017

Keywords

Galaxies: statistics
Surveys
Methods: statistical

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10.1051/0004-6361/201630249

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Marchetti, A., Garilli, B., Granett, B. R., Guzzo, L., Iovino, A., Scodeggio, M., Bolzonella, M., de la Torre, S., Abbas, U., Adami, C., Bottini, D., Cappi, A., Cucciati, O., Davidzon, I., Franzetti, P., Fritz, A., Krywult, J., Le Brun, V., Le Fèvre, O., ... Zamorani, G. (2017). The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra. Astronomy & Astrophysics, 600, Article A54. https://doi.org/10.1051/0004-6361/201630249

@article{767ee01dfdb74d1ba74cae6a1e7b6ac2,

title = "The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra",

abstract = "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).",

keywords = "Galaxies: statistics, Surveys, Methods: statistical",

author = "A. Marchetti and B. Garilli and Granett, {B. R.} and L. Guzzo and A. Iovino and M. Scodeggio and M. Bolzonella and {de la Torre}, S. and U. Abbas and C. Adami and D. Bottini and A. Cappi and O. Cucciati and I. Davidzon and P. Franzetti and A. Fritz and J. Krywult and {Le Brun}, V. and {Le F{\`e}vre}, O. and D. Maccagni and K. Ma{\l}ek and F. Marulli and M. Polletta and A. Pollo and Tasca, {L. A. M.} and R. Tojeiro and D. Vergani and A. Zanichelli and S. Arnouts and J. Bel and E. Branchini and J. Coupon and {De Lucia}, G. and O. Ilbert and T. Moutard and L. Moscardini and G. Zamorani",

year = "2017",

month = apr,

doi = "10.1051/0004-6361/201630249",

language = "English",

volume = "600",

journal = "Astronomy & Astrophysics",

issn = "0004-6361",

publisher = "EDP SCIENCES S A",

}

Marchetti, A, Garilli, B, Granett, BR, Guzzo, L, Iovino, A, Scodeggio, M, Bolzonella, M, de la Torre, S, Abbas, U, Adami, C, Bottini, D, Cappi, A, Cucciati, O, Davidzon, I, Franzetti, P, Fritz, A, Krywult, J, Le Brun, V, Le Fèvre, O, Maccagni, D, Małek, K, Marulli, F, Polletta, M, Pollo, A, Tasca, LAM, Tojeiro, R, Vergani, D, Zanichelli, A, Arnouts, S, Bel, J, Branchini, E, Coupon, J, De Lucia, G, Ilbert, O, Moutard, T, Moscardini, L & Zamorani, G 2017, 'The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra', Astronomy & Astrophysics, vol. 600, A54. https://doi.org/10.1051/0004-6361/201630249

TY - JOUR

T1 - The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra

AU - Marchetti, A.

AU - Garilli, B.

AU - Granett, B. R.

AU - Guzzo, L.

AU - Iovino, A.

AU - Scodeggio, M.

AU - Bolzonella, M.

AU - de la Torre, S.

AU - Abbas, U.

AU - Adami, C.

AU - Bottini, D.

AU - Cappi, A.

AU - Cucciati, O.

AU - Davidzon, I.

AU - Franzetti, P.

AU - Fritz, A.

AU - Krywult, J.

AU - Le Brun, V.

AU - Le Fèvre, O.

AU - Maccagni, D.

AU - Małek, K.

AU - Marulli, F.

AU - Polletta, M.

AU - Pollo, A.

AU - Tasca, L. A. M.

AU - Tojeiro, R.

AU - Vergani, D.

AU - Zanichelli, A.

AU - Arnouts, S.

AU - Bel, J.

AU - Branchini, E.

AU - Coupon, J.

AU - De Lucia, G.

AU - Ilbert, O.

AU - Moutard, T.

AU - Moscardini, L.

AU - Zamorani, G.

PY - 2017/4

Y1 - 2017/4

N2 - 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).

AB - 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).

KW - Galaxies: statistics

KW - Surveys

KW - Methods: statistical

U2 - 10.1051/0004-6361/201630249

DO - 10.1051/0004-6361/201630249

M3 - Article

SN - 0004-6361

VL - 600

JO - Astronomy & Astrophysics

JF - Astronomy & Astrophysics

M1 - A54

ER -

The VIMOS Public Extragalactic Redshift Survey (VIPERS). PCA-based automatic cleaning and reconstruction of survey spectra

Abstract

Keywords

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