Data di Pubblicazione:
2016
Citazione:
Clustering-based redshift estimation : Application to VIPERS/CFHTLS / V. Scottez, Y. Mellier, B.R. Granett, T. Moutard, M. Kilbinger, M. Scodeggio, B. Garilli, M. Bolzonella, S. de la Torre, L. Guzzo, U. Abbas, C. Adami, S. Arnouts, D. Bottini, E. Branchini, A. Cappi, O. Cucciati, I. Davidzon, A. Fritz, P. Franzetti, A. Iovino, J. Krywult, V. Le Brun, O. Le Fèvre, D. Maccagni, K. Malek, F. Marulli, M. Polletta, A. Pollo, L.A.M. Tasca, R. Tojeiro, D. Vergani, A. Zanichelli, J. Bel, J. Coupon, G. De Lucia, O. Ilbert, H.J. Mccracken, L. Moscardini. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - 462:2(2016 Oct 21), pp. 1683-1696. [10.1093/mnras/stw1500]
Abstract:
We explore the accuracy of the clustering-based redshift estimation proposed by Ménard et al. when applied to VIMOS Public Extragalactic Redshift Survey (VIPERS) and Canada- France-Hawaii Telescope Legacy Survey (CFHTLS) real data. This method enables us to reconstruct redshift distributions from measurement of the angular clustering of objects using a set of secure spectroscopic redshifts. We use state-of-the-art spectroscopic measurements with iAB < 22.5 from the VIPERS as reference population to infer the redshift distribution of galaxies from the CFHTLS T0007 release. VIPERS provides a nearly representative sample to a flux limit of iAB < 22.5 at a redshift of > 0.5 which allows us to test the accuracy of the clustering-based redshift distributions. We show that this method enables us to reproduce the true mean colour-redshift relation when both populations have the same magnitude limit. We also show that this technique allows the inference of redshift distributions for a population fainter than the reference and we give an estimate of the colour-redshift mapping in this case. This last point is of great interest for future large-redshift surveys which require a complete faint spectroscopic sample.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
clustering; galaxies: distances and redshifts; methods: data analysis; surveys; astronomy and astrophysics; space and planetary science
Elenco autori:
V. Scottez, Y. Mellier, B.R. Granett, T. Moutard, M. Kilbinger, M. Scodeggio, B. Garilli, M. Bolzonella, S. de la Torre, L. Guzzo, U. Abbas, C. Adami, S. Arnouts, D. Bottini, E. Branchini, A. Cappi, O. Cucciati, I. Davidzon, A. Fritz, P. Franzetti, A. Iovino, J. Krywult, V. Le Brun, O. Le Fèvre, D. Maccagni, K. Malek, F. Marulli, M. Polletta, A. Pollo, L.A.M. Tasca, R. Tojeiro, D. Vergani, A. Zanichelli, J. Bel, J. Coupon, G. De Lucia, O. Ilbert, H.J. Mccracken, L. Moscardini
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