Search Results for author: A. Pollo

Found 2 papers, 1 papers with code

Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4

no code implementations • 26 Oct 2020 • S. J. Nakoneczny, M. Bilicki, A. Pollo, M. Asgari, A. Dvornik, T. Erben, B. Giblin, C. Heymans, H. Hildebrandt, A. Kannawadi, K. Kuijken, N. R. Napolitano, E. Valentijn

We find that XGB is the most robust model for classification, while ANN performs the best for combined classification and redshift.

Cosmology and Nongalactic Astrophysics

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Catalog of quasars from the Kilo-Degree Survey Data Release 3

1 code implementation • 7 Dec 2018 • S. Nakoneczny, M. Bilicki, A. Solarz, A. Pollo, N. Maddox, C. Spiniello, M. Brescia, N. R. Napolitano

Our study presents the first comprehensive quasar selection from deep high-quality KiDS data and will serve as the basis for versatile studies of the QSO population detected by this survey.

Feature Importance

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