Search Results for author: M. Bilicki

Found 3 papers, 1 papers with code

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

no code implementations26 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

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

1 code implementation7 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

Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks

no code implementations13 Sep 2017 M. Bilicki, H. Hoekstra, M. J. I. Brown, V. Amaro, C. Blake, S. Cavuoti, J. T. A. de Jong, C. Georgiou, H. Hildebrandt, C. Wolf, A. Amon, M. Brescia, S. Brough, M. V. Costa-Duarte, T. Erben, K. Glazebrook, A. Grado, C. Heymans, T. Jarrett, S. Joudaki, K. Kuijken, G. Longo, N. Napolitano, D. Parkinson, C. Vellucci, G. A. Verdoes Kleijn, L. Wang

The second dataset, optimized for low-redshift studies such as galaxy-galaxy lensing, is limited to r<20, and provides photo-zs of much better quality than in the full-depth case thanks to incorporating optical magnitudes, colours, and sizes in the GAMA-calibrated photo-z derivation.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

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