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Object classification with Convolutional Neural Networks: from KiDS to Euclid
G. A. Verdoes Kleijn, C. A. Marocico, Y. Mzayek +11
Large-scale imaging surveys have grown about 1000 times faster than the number of astronomers in the last 3 decades. Using Artificial Intelligence instead of astronomer's brains fo…
Piggybacking astronomical hazard investigations on scientific Big Data missions
Gijs A. Verdoes Kleijn, Teymoor Saifollahi, Rees Williams +2
Current and upcoming large optical and near-infrared astronomical surveys have fundamental science as their primary drivers. To cater to those, these missions scan large fractions…
High-precision astrometry towards ELTs
Davide Massari, Giuliana Fiorentino, Eline Tolstoy +13
With the aim of paving the road for future accurate astrometry with MICADO at the European-ELT, we performed an astrometric study using two different but complementary approaches t…
Monitoring the photometric behavior of OmegaCAM with Astro-WISE
Gijs A. Verdoes Kleijn, Konrad H. Kuijken, Edwin A. Valentijn +5
The OmegaCAM wide-field optical imager is the sole instrument on the VLT Survey Telescope at ESO's Paranal Observatory. The instrument, as well as the telescope, have been designed…
The Data Zoo in Astro-WISE
Gijs A. Verdoes Kleijn, Andrey N. Belikov, John P. McFarland
In this paper we describe the way the Astro-WISE information system (or simply Astro-WISE) supports the data from a wide range of in- struments and combines multiple surveys and th…
Astro-WISE Information System
Willem-Jan Vriend, Edwin A. Valentijn, Andrey Belikov +1
Astro-WISE is a scientific information system for the data processing of optical images. In this paper we review main features of Astro-WISE and describe the current status of the…