64 citations · 498 across the 47 of their papers we have counts for
6 papers · 1 filter
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys
G. A. Verdoes Kleijn, T. Grobler, S. J. Chong +12
We are a group of over two dozen astronomers, computer scientists, data scientists and digital Big Data research platform experts at 11 universities and research institutes in Sout…
Unlocking the physics of dwarf galaxies in the 2040s: The case for a next-generation wide-field spectroscopic facility with fibres and IFUs
Crescenzo Tortora, Daniela Carollo, Leslie Hunt +25
Dwarf galaxies () are the most numerous galaxies in the Universe and critical probes of dark matter, baryonic feedback, and galaxy formation. D…
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
R. Pearce-Casey, B. C. Nagam, J. Wilde +204
The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many le…
Euclid: Early Release Observations -- Programme overview and pipeline for compact- and diffuse-emission photometry
J. -C. Cuillandre, E. Bertin, M. Bolzonella +260
The Euclid ERO showcase Euclid's capabilities in advance of its main mission, targeting 17 astronomical objects, from galaxy clusters, nearby galaxies, globular clusters, to star-f…
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…