{"paper":{"title":"The VIMOS Public Extragalactic Redshift Survey (VIPERS). A Support Vector Machine classification of galaxies, stars and AGNs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Burden, A. Cappi, A. Fritz, A. Iovino, A. Marchetti, A. Pollo, A. Solarz, A. Zanichelli, B. Garilli, B. R. Granett, C. Adami, C. Di Porto, C. Marinoni, D. Bottini, D. Maccagni, D. Vergani, E. Branchini, F. Marulli, G. De Lucia, G. Zamorani, H. J. McCracken, H. Schlagenhaufer, I. Davidzon, J. A. Peacock, J. Bel, J. Coupon, J. Krywult, K. Malek, L. A. M. Tasca, L. Guzzo, L. Moscardini, L. Paioro, M. Bolzonella, M. Fumana, M. Polletta, M. Scodeggio, M. Wolk, O. Cucciati, O. Ilbert, O. Le Fevre, P. Franzetti, R. C. Nichol, R. Tojeiro, S. Arnouts, S. de la Torre, S. Phleps, U. Abbas, V. Le Brun, W. J. Percival, Y. Mellier","submitted_at":"2013-03-11T19:06:04Z","abstract_excerpt":"The aim of this work is to develop a comprehensive method for classifying sources in large sky surveys and we apply the techniques to the VIMOS Public Extragalactic Redshift Survey (VIPERS). Using the optical (u*, g', r', i') and NIR data (z', Ks), we develop a classifier, based on broad-band photometry, for identifying stars, AGNs and galaxies improving the purity of the VIPERS sample. Support Vector Machine (SVM) supervised learning algorithms allow the automatic classification of objects into two or more classes based on a multidimensional parameter space. In this work, we tailored the SVM "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.2621","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}