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Photometric redshifts with the Multilayer Perceptron Neural Network: application to the HDF-S and SDSS
E. Vanzella, S. Cristiani, A. Fontana +8
We present a technique for the estimation of photometric redshifts based on feed-forward neural networks. The Multilayer Perceptron (MLP) Artificial Neural Network is used to predi…
The Space Density of High-Redshift QSOs in the GOODS Survey
S. Cristiani, D. M. Alexander, F. Bauer +14
We present a sample of 17 high-redshift (3.5<z<5.2) QSO candidates in the 320 sq.arcmin area of the Great Observatories Origins Deep Survey, selected in the magnitude range 22.45<z…
The Asiago-ESO/RASS QSO Survey. III. Clustering analysis and its theoretical interpretation
Andrea Grazian, Mattia Negrello, Lauro Moscardini +5
This is the third paper of a series describing the Asiago-ESO/RASS QSO survey (AERQS), a project aimed at the construction of an all-sky statistically well-defined sample of relati…