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dc.contributor.authorBel, J.
dc.contributor.authorBranchini, E.
dc.contributor.authorDi Porto, C.
dc.contributor.authorCucciati, O.
dc.contributor.authorGranett, B. R.
dc.contributor.authorIovino, A.
dc.contributor.authorde la Torre, S.
dc.contributor.authorMarinoni, C.
dc.contributor.authorGuzzo, L.
dc.contributor.authorMoscardini, L.
dc.contributor.authorCappi, A.
dc.contributor.authorAbbas, U.
dc.contributor.authorAdami, C.
dc.contributor.authorArnouts, S.
dc.contributor.authorBolzonella, M.
dc.contributor.authorBottini, D.
dc.contributor.authorCoupon, J.
dc.contributor.authorDavidzon, I.
dc.contributor.authorDe Lucia, G.
dc.contributor.authorFritz, A.
dc.contributor.authorFranzetti, P.
dc.contributor.authorFumana, M.
dc.contributor.authorGarilli, B.
dc.contributor.authorIlbert, O.
dc.contributor.authorKrywult, J.
dc.contributor.authorLe Brun, V.
dc.contributor.authorLe Fèvre, O.
dc.contributor.authorMaccagni, D.
dc.contributor.authorMałek, K.
dc.contributor.authorMarulli, F.
dc.contributor.authorMcCracken, H. J.
dc.contributor.authorPaioro, L.
dc.contributor.authorPolletta, M.
dc.contributor.authorPollo, A.
dc.contributor.authorSchlagenhaufer, H.
dc.contributor.authorScodeggio, M.
dc.contributor.authorTasca, L. A. M.
dc.contributor.authorTojeiro, R.
dc.contributor.authorVergani, D.
dc.contributor.authorZanichelli, A.
dc.contributor.authorBurden, A.
dc.contributor.authorMarchetti, A.
dc.contributor.authorMellier, Y.
dc.contributor.authorNichol, R. C.
dc.contributor.authorPeacock, J. A.
dc.contributor.authorPercival, W. J.
dc.contributor.authorPhleps, S.
dc.contributor.authorWolk, M.
dc.date.accessioned2017-03-24T16:30:14Z
dc.date.available2017-03-24T16:30:14Z
dc.date.issued2016-04
dc.identifier.citationBel , J , Branchini , E , Di Porto , C , Cucciati , O , Granett , B R , Iovino , A , de la Torre , S , Marinoni , C , Guzzo , L , Moscardini , L , Cappi , A , Abbas , U , Adami , C , Arnouts , S , Bolzonella , M , Bottini , D , Coupon , J , Davidzon , I , De Lucia , G , Fritz , A , Franzetti , P , Fumana , M , Garilli , B , Ilbert , O , Krywult , J , Le Brun , V , Le Fèvre , O , Maccagni , D , Małek , K , Marulli , F , McCracken , H J , Paioro , L , Polletta , M , Pollo , A , Schlagenhaufer , H , Scodeggio , M , Tasca , L A M , Tojeiro , R , Vergani , D , Zanichelli , A , Burden , A , Marchetti , A , Mellier , Y , Nichol , R C , Peacock , J A , Percival , W J , Phleps , S & Wolk , M 2016 , ' The VIMOS Public Extragalactic Redshift Survey (VIPERS). On the recovery of the count-in-cell probability distribution function ' , Astronomy & Astrophysics , vol. 588 , A51 . https://doi.org/10.1051/0004-6361/201526455en
dc.identifier.issn0004-6361
dc.identifier.otherPURE: 249427782
dc.identifier.otherPURE UUID: 33f5d384-05b0-4a6a-bfe7-adef5c901366
dc.identifier.otherBibCode: 2016A&A...588A..51B
dc.identifier.otherScopus: 84962547881
dc.identifier.urihttp://hdl.handle.net/10023/10522
dc.descriptionW.J.P. and R.T. acknowledge financial support from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 202686.en
dc.description.abstractWe 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 averagenumber of object per cell is around unity), it is necessary to use a parametric method to model the galaxy distribution. We used a set of mock catalogues of VIPERS to verify if we were able to reconstruct the cell-count probability distribution once the observational strategy is applied. We find that, in the simulated catalogues, the probability distribution of galaxies is better represented by a Gamma expansion than a skewed log-normal distribution. Finally, we correct the cell-count probability distribution function from the angular selection effect of the VIMOS instrument and study the redshift and absolute magnitude dependency of the underlying galaxy density function in VIPERS from redshift 0.5 to 1.1. We found a very weak evolution of the probability density distribution function and that it is well approximated by a Gamma distribution, independently of the chosen tracers.Based on observations collected at the European Southern Observatory, Cerro Paranal, Chile, using the Very Large Telescope under programmes 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), which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences del'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 aspart of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. The VIPERS web site is http://www.vipers.inaf.it/
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofAstronomy & Astrophysicsen
dc.rights© 2016, ESO. This work has been made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at www.aanda.org / https://doi.org/10.1051/0004-6361/201526455.en
dc.subjectLarge-scale structure of Universeen
dc.subjectCosmology: observationsen
dc.subjectGalaxies: high-redshiften
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subject3rd-DASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleThe VIMOS Public Extragalactic Redshift Survey (VIPERS). On the recovery of the count-in-cell probability distribution functionen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Physics and Astronomyen
dc.identifier.doihttps://doi.org/10.1051/0004-6361/201526455
dc.description.statusPeer revieweden
dc.identifier.urlhttp://adsabs.harvard.edu/abs/2016A%26A...588A..51Ben


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