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dc.contributor.authorMohammad, F. G.
dc.contributor.authorBianchi, D.
dc.contributor.authorPercival, W. J.
dc.contributor.authorde la Torre, S.
dc.contributor.authorGuzzo, L.
dc.contributor.authorGranett, B. R.
dc.contributor.authorBranchini, E.
dc.contributor.authorBolzonella, M.
dc.contributor.authorGarilli, B.
dc.contributor.authorScodeggio, M.
dc.contributor.authorAbbas, U.
dc.contributor.authorAdami, C.
dc.contributor.authorBel, J.
dc.contributor.authorBottini, D.
dc.contributor.authorCappi, A.
dc.contributor.authorCucciati, O.
dc.contributor.authorDavidzon, I.
dc.contributor.authorFranzetti, P.
dc.contributor.authorFritz, A.
dc.contributor.authorIovino, A.
dc.contributor.authorKrywult, J.
dc.contributor.authorLe Brun, V.
dc.contributor.authorLe Fevre, O.
dc.contributor.authorMalek, K.
dc.contributor.authorMarulli, F.
dc.contributor.authorPolletta, M.
dc.contributor.authorPollo, A.
dc.contributor.authorTasca, L. A. M.
dc.contributor.authorTojeiro, R.
dc.contributor.authorVergani, D.
dc.contributor.authorZanichelli, A.
dc.contributor.authorArnouts, S.
dc.contributor.authorCoupon, J.
dc.contributor.authorDe Lucia, G.
dc.contributor.authorIlbert, O.
dc.contributor.authorMoscardini, L.
dc.contributor.authorMoutard, T.
dc.date.accessioned2018-11-14T15:30:14Z
dc.date.available2018-11-14T15:30:14Z
dc.date.issued2018-11-01
dc.identifier256580077
dc.identifier882b1e91-1d72-4627-b79f-2a5c3a02263e
dc.identifier000448963900001
dc.identifier85056258208
dc.identifier000448963900001
dc.identifier.citationMohammad , F G , Bianchi , D , Percival , W J , de la Torre , S , Guzzo , L , Granett , B R , Branchini , E , Bolzonella , M , Garilli , B , Scodeggio , M , Abbas , U , Adami , C , Bel , J , Bottini , D , Cappi , A , Cucciati , O , Davidzon , I , Franzetti , P , Fritz , A , Iovino , A , Krywult , J , Le Brun , V , Le Fevre , O , Malek , K , Marulli , F , Polletta , M , Pollo , A , Tasca , L A M , Tojeiro , R , Vergani , D , Zanichelli , A , Arnouts , S , Coupon , J , De Lucia , G , Ilbert , O , Moscardini , L & Moutard , T 2018 , ' The VIMOS Public Extragalactic Redshift Survey (VIPERS) : unbiased clustering estimate with VIPERS slit assignment ' , Astronomy & Astrophysics , vol. 619 , 17 . https://doi.org/10.1051/0004-6361/201833853en
dc.identifier.issn1432-0746
dc.identifier.urihttps://hdl.handle.net/10023/16456
dc.descriptionRT acknowledges financial support from the European Research Council through grant n. 202686.en
dc.description.abstractThe 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 VIMOS instrument on the Very Large Telescope (VLT), the galaxies observed only represent approximately 47% of the parent target sample, with a distribution imprinted with the pattern of the VIMOS slitmask. Correcting for the effect on clustering has previously been achieved using an approximate approach developed using mock catalogues. Pairwise inverse probability (PIP) weighting has recently been proposed to correct for missing galaxies, and we apply it to mock VIPERS catalogues to show that it accurately corrects the clustering for the VIMOS effects, matching the clustering measured from the observed sample to that of the parent. We then apply PIP-weighting to the VIPERS data, and fit the resulting monopole and quadrupole moments of the galaxy two-point correlation function with respect to the line-of-sight, making measurements of RSD. The results are close to previous measurements, showing that the previous approximate methods used by the VIPERS team are sufficient given the errors obtained on the RSD parameter.
dc.format.extent14
dc.format.extent4734786
dc.language.isoeng
dc.relation.ispartofAstronomy & Astrophysicsen
dc.subjectCosmology: observationsen
dc.subjectLarge-scale structure of universeen
dc.subjectGalaxies: high-redshiften
dc.subjectGalaxies: statisticsen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subject3rd-DASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleThe VIMOS Public Extragalactic Redshift Survey (VIPERS) : unbiased clustering estimate with VIPERS slit assignmenten
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.identifier.doi10.1051/0004-6361/201833853
dc.description.statusPeer revieweden
dc.identifier.urlhttps://arxiv.org/abs/1807.05999en


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