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Title:
Probing the Quasar Distribution within the Virtual Observatory
Authors:
D'Abrusco, Raffaele; Barentsen, G.; Laurino, O.; Nayak, P.; Borne, K.; Longo, G.
Affiliation:
AA(University Federico II, Italy), AB(European Space Agency, Netherlands), AC(University Federico II, Italy), AD(George Mason University), AE(George Mason University), AF(University Federico II, Italy)
Publication:
American Astronomical Society, AAS Meeting #213, #332.04; Bulletin of the American Astronomical Society, Vol. 41, p.392
Publication Date:
01/2009
Origin:
AAS
Bibliographic Code:
2009AAS...21333204D

Abstract

In the era of massive astronomical datasets, efficient identification of candidate quasars and the reconstruction of their three dimensional distribution in the Universe is a key requirement for constraining some of the main issues regarding the formation and evolution of QSOs. A method for the accurate determination of the photometric redshifts of QSOs based on multiwavelength photometry and a combination of data mining techniques will be discussed. This procedure, specifically suited for accompanying the candidate selection method discussed in D'Abrusco et al. 2008, makes use of specific tools developed under the EuroVO and NVO frameworks for data gathering, pre-processing and mining, while relying on the scaling capabilities of the computing grid.
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