Related papers: The VIMOS Public Extragalactic Redshift Survey (VI…

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Unsupervised classification with photometric redshifts: a method to accurately classify large galaxy samples without spectroscopic information

Techniques to classify galaxies solely based on photometry will be necessary for future large cosmology missions, such as Euclid or LSST. However, the precision of classification is always lower in photometric surveys and can be…

Astrophysics of Galaxies · Physics 2018-12-19 M. Siudek , K. Małek , A. Pollo , B. R. Granett , M. Scodeggio , T. Moutard , A. Iovino , L. Guzzo , B. Garilli , 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 , F. Marulli , M. Polletta , L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , S. Arnouts , J. Bel , E. Branchini , J. Coupon , G. De Lucia , O. Ilbert , L. Moscardini , G. Zamorani , T. T. Takeuchi

The VIMOS Public Extragalactic Redshift Survey (VIPERS): spectral classification through Principal Component Analysis

We develop a Principal Component Analysis aimed at classifying a sub-set 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…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-05 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. 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 , 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

The VIMOS Public Extragalactic Redshift Survey (VIPERS). An unprecedented view of galaxies and large-scale structure at 0.5<z<1.2

We describe the construction and general features of VIPERS, the VIMOS Public Extragalactic Redshift Survey. This `Large Programme' has been using the ESO VLT with the aim of building a spectroscopic sample of ~100,000 galaxies with…

Cosmology and Nongalactic Astrophysics · Physics 2014-07-02 L. Guzzo , M. Scodeggio , B. Garilli , B. R. Granett , U. Abbas , C. Adami , S. Arnouts , J. Bel , M. Bolzonella , D. Bottini , E. Branchini , A. Cappi , J. Coupon , O. Cucciati , I. Davidzon , G. De Lucia , S. de la Torre , A. Fritz , P. Franzetti , M. Fumana , P. Hudelot , O. Ilbert , A. Iovino , J. Krywult , V. Le Brun , O. Le Fèvre , D. Maccagni , K. Małek , F. Marulli , H. J. McCracken , L. Paioro , J. A. Peacock , M. Polletta , A. Pollo , H. Schlagenhaufer , L. A. M. Tasca , R. Tojeiro , D. Vergani , G. Zamorani , A. Zanichelli , A. Burden , C. Di Porto , A. Marchetti , C. Marinoni , Y. Mellier , L. Moscardini , R. C. Nichol , W. J. Percival , S. Phleps , M. Wolk

The VIMOS Public Extragalactic Redshift Survey (VIPERS). The complexity of galaxy populations at 0.4< z<1.3 revealed with unsupervised machine-learning algorithms

Various galaxy classification schemes have been developed so far to constrain the main physical processes regulating evolution of different galaxy types. In the era of a deluge of astrophysical information and recent progress in machine…

Astrophysics of Galaxies · Physics 2018-12-19 M. Siudek , K. Małek , A. Pollo , T. Krakowski , A. Iovino , M. Scodeggio , T. Moutard , G. Zamorani , L. Guzzo , B. Garilli , B. R. Granett , 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 , F. Marulli , M. Polletta , L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , S. Arnouts , J. Bel , E. Branchini , J. Coupon , G. De Lucia , O. Ilbert , C. P. Haines , L. Moscardini , T. T. Takeuchi

VIPERS: An Unprecedented View of Galaxies and Large-Scale Structure Halfway Back in the Life of the Universe

The VIMOS Public Extragalactic Redshift Survey (VIPERS) is an ongoing ESO Large Programme to map in detail the large-scale distribution of galaxies at 0.5 < z <1.2. With a combination of volume and sampling density that is unique for these…

Cosmology and Nongalactic Astrophysics · Physics 2013-03-19 L. Guzzo , U. Abbas , C. Adami , S. Arnouts , J. Bel , M. Bolzonella , D. Bottini , E. Branchini , A. Burden , A. Cappi , J. Coupon , O. Cucciati , I. Davidzon , S. de la Torre , G. De Lucia , C. Di Porto , P. Franzetti , A. Fritz , M. Fumana , B. Garilli , B. R. Granett , L. Guennou , O. Ilbert , A. Iovino , J. Krywult , V. Le Brun , O. Le Fèvre , D. Maccagni , K. Malek , A. Marchetti , C. Marinoni , F. Marulli , H. J. McCracken , Y. Mellier , L. Moscardini , R. C. Nichol , L. Paioro , J. A. Peacock , W. J. Percival , S. Phleps , M. Polletta , A. Pollo , H. Schlagenhaufer , M. Scodeggio , A. Solarz , L. A. M. Tasca , R. Tojeiro , D. Vergani , M. Wolk , G. Zamorani , A. Zanichelli

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Never mind the gaps: comparing techniques to restore homogeneous sky coverage

[Abridged] Non-uniform sampling and gaps in sky coverage are common in galaxy redshift surveys, but these effects can degrade galaxy counts-in-cells and density estimates. We carry out a comparison of methods that aim to fill the gaps to…

Cosmology and Nongalactic Astrophysics · Physics 2014-05-14 O. Cucciati , B. R. Granett , E. Branchini , F. Marulli , A. Iovino , L. Moscardini , J. Bel , A. Cappi , J. A. Peacock , S. de la Torre , M. Bolzonella , L. Guzzo , M. Polletta , A. Fritz , C. Adami , D. Bottini , J. Coupon , I. Davidzon , P. Franzetti , M. Fumana , B. Garilli , J. Krywult , K. Malek , L. Paioro , A. Pollo , M. Scodeggio , L. A. M. Tasca , D. Vergani , A. Zanichelli , C. Di Porto , G. Zamorani

Star-galaxy separation in the AKARI NEP Deep Field

Context: It is crucial to develop a method for classifying objects detected in deep surveys at infrared wavelengths. We specifically need a method to separate galaxies from stars using only the infrared information to study the properties…

Instrumentation and Methods for Astrophysics · Physics 2015-06-04 A. Solarz , A. Pollo , T. T. Takeuchi , A. Pepiak , H. Matsuhara , T. Wada , S. Oyabu , T. Takagi , T. Goto , Y. Ohyama , C. P. Pearson , H. Hanami , T. Ishigaki

Automatised classification of WISE sources: first results, future prospects

We present the first results of our dedicated programme of automatised classification of galaxies, stars and quasars in the mid-infrared all-sky data from the WISE survey. We employ the Support Vector Machines (SVM) algorithm, which defines…

Astrophysics of Galaxies · Physics 2015-12-14 Agnieszka Kurcz , Magdalena Krupa , Maciej Bilicki , Aleksandra Solarz , Agnieszka Pollo , Katarzyna Małek

The VIMOS Public Extragalactic Redshift Survey (VIPERS): Reconstruction of the redshift-space galaxy density field

Aims. Using the VIMOS Public Extragalactic Redshift Survey (VIPERS) we aim to jointly estimate the key parameters that describe the galaxy density field and its spatial correlations in redshift space. Methods. We use the Bayesian formalism…

Cosmology and Nongalactic Astrophysics · Physics 2015-10-28 B. R. Granett , E. Branchini , L. Guzzo , U. Abbas , C. Adami , S. Arnouts , J. Bel , M. Bolzonella , D. Bottini , A. Cappi , J. Coupon , O. Cucciati , I. Davidzon , G. De Lucia , S. de la Torre , A. Fritz , P. Franzetti , M. Fumana , B. Garilli , O. Ilbert , A. Iovino , J. Krywult , V. Le Brun , O. Le Fèvre , D. Maccagni , K. Małek , F. Marulli , H. J. McCracken , M. Polletta , A. Pollo , M. Scodeggio , L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , A. Burden , C. Di Porto , A. Marchetti , C. Marinoni , Y. Mellier , T. Moutard , L. Moscardini , R. C. Nichol , J. A. Peacock , W. J. Percival , G. Zamorani

From VIPERS to SDSS: Unveiling galaxy spectra evolution over 9 Gyr through unsupervised machine-learning

Aims: This study aims to trace the chronological evolution of galaxy spectra over cosmic time. Focusing on the VIPERS dataset, we seek to understand the diverse population of galaxies within narrow redshift bins, comparing our findings with…

Astrophysics of Galaxies · Physics 2024-07-03 J. Dubois , M. Siudek , D. Fraix-Burnet , J. Moultaka

Of Genes and Machines: application of a combination of machine learning tools to astronomy datasets

We apply a combination of a Genetic Algorithms (GA) and Support Vector Machines (SVM) machine learning algorithm to solve two important problems faced by the astronomical community: star/galaxy separation, and photometric redshift…

Instrumentation and Methods for Astrophysics · Physics 2016-04-27 S. Heinis , S. Kumar , S. Gezari , W. S. Burgett , K. C. Chambers , P. W. Draper , H. Flewelling , N. Kaiser , E. A. Magnier , N. Metcalfe , C. Waters

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Measuring nonlinear galaxy bias at z~0.8

We use the first release of the VImos Public Extragalactic Redshift Survey of galaxies (VIPERS) of ~50,000 objects to measure the biasing relation between galaxies and mass in the redshift range z=[0.5,1.1]. We estimate the 1-point…

Cosmology and Nongalactic Astrophysics · Physics 2016-10-19 C. Di Porto , E. Branchini , J. Bel , F. Marulli , M. Bolzonella , O. Cucciati , S. de la Torre , B. R. Granett , L. Guzzo , C. Marinoni , L. Moscardini , U. Abbas , C. Adami , S. Arnouts , D. Bottini , A. Cappi , J. Coupon , I. Davidzon , G. De Lucia , A. Fritz , P. Franzetti , M. Fumana , B. Garilli , O. Ilbert , A. Iovino , J. Krywult , V. Le Brun , O. Le Fevre , D. Maccagni , K. Malek , H. J. McCracken , L. Paioro , M. Polletta , A. Pollo , M. Scodeggio , L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , A. Burden , A. Marchetti , D. Martizzi , Y. Mellier , R. C. Nichol , J. A. Peacock , W. J. Percival , M. Viel , M. Wolk , G. Zamorani

The VIMOS Public Extragalactic Redshift Survey (VIPERS): Unbiased clustering estimate with VIPERS slit assignment

The VIPERS galaxy survey has measured the clustering of $0.5<z<1.2$ galaxies, enabling a number of measurements of galaxy properties and cosmological redshift-space distortions (RSD). Because the measurements were made using one-pass of the…

Cosmology and Nongalactic Astrophysics · Physics 2018-08-31 F. G. Mohammad , D. Bianchi , W. J. Percival , S. de la Torre , L. Guzzo , B. R. Granett , E. Branchini , M. Bolzonella , B. Garilli , M. Scodeggio , U. Abbas , C. Adami , J. Bel , D. Bottini , A. Cappi , O. Cucciati , I. Davidzon , P. Franzetti , A. Fritz , A. Iovino , J. Krywult , V. Le Brun , O. Le Fèvre , K. Małek , F. Marulli , M. Polletta , A. Pollo , L. A. M. Tasca , R. Tojeiro , D. Vergan , A. Zanichelli , S. Arnouts , J. Coupon , G. De Lucia , O. Ilbert , L. Moscardini , T. Moutard

The VIMOS Public Extragalactic Redshift Survey (VIPERS). AGN feedback in [NeV] emitters

Using an unconventional single line diagnostic that unambiguously identifies AGNs in composite galaxies we report statistical differences in the properties (stellar age, [OII] luminosity, colour) between active and inactive galaxies at…

Astrophysics of Galaxies · Physics 2018-12-19 D. Vergani , B. Garilli , M. Polletta , P. Franzetti , M. Scodeggio , G. Zamorani , C. P. Haines , M. Bolzonella , L. Guzzo , B. R. Granett , S. de la Torre , U. Abbas , C. Adami , D. Bottini , A. Cappi , O. Cucciati , I. Davidzon , G. De Lucia , A. Fritz , A. Gargiulo , A. J. Hawken , A. Iovino , J. Krywult , V. Le Brun , O. Le Fevre , D. Maccagni , K. Malek , F. Marulli , A. Pollo , L. A. M. Tasca , R. Tojeiro , A. Zanichelli , S. Arnouts , J. Bel , E. Branchini , J. Coupon , O. Ilbert , T. Moutard , L. Moscardini

The VIMOS Public Extragalactic Redshift Survey (VIPERS): On the correct recovery of the count-in-cell probability distribution function

We compare three methods to measure the count-in-cell probability density function of galaxies in a spectroscopic redshift survey. From this comparison we found that when the sampling is low (the average number of object per cell is around…

Cosmology and Nongalactic Astrophysics · Physics 2016-03-23 J. Bel , E. Branchini , C. Di Porto , O. Cucciati , B. R. Granett , A. Iovino , S. de la Torre , C. Marinoni , L. Guzzo , L. Moscardini , A. Cappi , U. Abbas , C. Adami , S. Arnouts , M. Bolzonella , D. Bottini , J. Coupon , I. Davidzon , G. De Lucia , A. Fritz , P. Franzetti , M. Fumana , B. Garilli , O. Ilbert , J. Krywult , V. Le Brun , O. Le Fèvre , D. Maccagni , K. Małek , F. Marulli , H. J. McCracken , L. Paioro , M. Polletta , A. Pollo , H. Schlagenhaufer , M. Scodeggio , L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , A. Burden , A. Marchetti , Y. Mellier , R. C. Nichol , J. A. Peacock , W. J. Percival , S. Phleps , M. Wolk

The VIMOS Public Extragalactic Redshift Survey (VIPERS): An unbiased estimate of the growth rate of structure at $\mathbf{\left<z\right>=0.85}$ using the clustering of luminous blue galaxies

We use the VIPERS final data release to investigate the performance of colour-selected populations of galaxies as tracers of linear large-scale motions. We empirically select volume-limited samples of blue and red galaxies as to minimise…

Cosmology and Nongalactic Astrophysics · Physics 2018-02-28 F. G. Mohammad , B. R. Granett , L. Guzzo , J. Bel , E. Branchini , S. de la Torre , L. Moscardini , J. A. Peacock , M. Bolzonella , B. Garilli , M. Scodeggio , U. Abbas , C. Adami , D. Bottini , A. Cappi , O. Cucciati , I. Davidzon , P. Franzetti , A. Fritz , A. Iovino , 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. Coupon , G. De Lucia , O. Ilbert , T. Moutard

A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images. I Method description

We present a new non-parametric method to quantify morphologies of galaxies based on a particular family of learning machines called support vector machines. The method, that can be seen as a generalization of the classical CAS…

Astrophysics · Physics 2009-11-13 M. Huertas-Company , D. Rouan , L. Tasca , G. Soucail , O. Le Fevre

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Full spectroscopic data and auxiliary information release (PDR-2)

We present the full public data release (PDR-2) of the VIMOS Public Extragalactic Redshift Survey (VIPERS), performed at the ESO VLT. We release redshifts, spectra, CFHTLS magnitudes and ancillary information (as masks and weights) for a…

Astrophysics of Galaxies · Physics 2018-01-24 M. Scodeggio , L. Guzzo , B. Garilli , B. R. Granett , M. Bolzonella , S. de la Torre , U. Abbas , C. Adami , S. Arnouts , D. Bottini , A. Cappi , J. Coupon , O. Cucciati , I. Davidzon , P. Franzetti , A. Fritz , A. Iovino , J. Krywult , V. Le Brun , O. Le Févre , D. Maccagni , K. Malek , A. Marchetti , F. Marulli , M. Polletta , A. Pollo , L. A. M. Tasca , R. Tojeiro , D. Vergani , A. Zanichelli , J. Bel , E. Branchini , G. De Lucia , O. Ilbert , H. J. McCracken , T. Moutard , J. A. Peacock , G. Zamorani , A. Burden , M. Fumana , E. Jullo , C. Marinoni , Y. Mellier , L. Moscardini , W. J. Percival

Estimating Photometric Redshifts Using Support Vector Machines

We present a new approach to obtaining photometric redshifts using a kernel learning technique called Support Vector Machines (SVMs). Unlike traditional spectral energy distribution fitting, this technique requires a large and…

Astrophysics · Physics 2009-11-10 Yogesh Wadadekar

Learning algorithms at the service of WISE survey

We have undertaken a dedicated program of automatic source classification in the WISE database merged with SuperCOSMOS scans, comprehensively identifying galaxies, quasars and stars on most of the unconfused sky. We use the Support Vector…

Astrophysics of Galaxies · Physics 2015-12-14 Katarzyna Małek , Tomasz Krakowski , Maciej Bilicki , Agnieszka Pollo , Magdalena Krupa , Anieszka Kurcz , Aleksandra Solarz