We present a new analysis of the Sloan Digital Sky Survey data aimed at producing a detailed map of the nearby (z<0.5) universe. Using neural networks trained on the available spectroscopic base of knowledge we derived distance estimates for ˜ 30 million galaxies distributed over ˜ 8, 000 sq. deg. We also used unsupervised clustering tools developed in the framework of the VO-Tech project, to investigate the possibility to understand the nature of each object present in the field and, in particular, to produce a list of candidate AGNs and QSOs.
Steps towards a map of the nearby universe / D'Abrusco, R.; Longo, G.; Staiano, A.; de Filippis, E.; Paolillo, M.; Brescia, M.. - In: NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS. - ISSN 0920-5632. - 168:(2007), pp. 299-301. (Intervento presentato al convegno NOW-2006 (Neutrino Oscillation Workshop - 2006) nel Settembre 2006) [10.1016/j.nuclphysbps.2007.02.027].
Steps towards a map of the nearby universe
Longo, G.;Paolillo, M.;Brescia, M.
2007
Abstract
We present a new analysis of the Sloan Digital Sky Survey data aimed at producing a detailed map of the nearby (z<0.5) universe. Using neural networks trained on the available spectroscopic base of knowledge we derived distance estimates for ˜ 30 million galaxies distributed over ˜ 8, 000 sq. deg. We also used unsupervised clustering tools developed in the framework of the VO-Tech project, to investigate the possibility to understand the nature of each object present in the field and, in particular, to produce a list of candidate AGNs and QSOs.File | Dimensione | Formato | |
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