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 similar to 30 million galaxies distributed over similar to 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, Raffaele; Longo, Giuseppe; Staiano, A.; de Filippis, E.; Paolillo, Maurizio; Brescia, M.. - In: NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS. - ISSN 0920-5632. - STAMPA. - 168:(2007), pp. 299-301. [10.1016/j.nuclphysbps.2007.02.027]
Steps towards a map of the nearby universe
D'ABRUSCO, RAFFAELE;LONGO, GIUSEPPE;PAOLILLO, MAURIZIO;M. Brescia
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 similar to 30 million galaxies distributed over similar to 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
