778 citations · 4.4k across the 45 of their papers we have counts for
8 papers · 1 filter
The fifth data release of the Kilo Degree Survey: Multi-epoch optical/NIR imaging covering wide and legacy-calibration fields
Angus H. Wright, Konrad Kuijken, Hendrik Hildebrandt +51
We present the final data release of the Kilo-Degree Survey (KiDS-DR5), a public European Southern Observatory (ESO) wide-field imaging survey optimised for weak gravitational lens…
Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions
Simon P. Driver, Sabine Bellstedt, Aaron S. G. Robotham +67
In Galaxy And Mass Assembly Data Release 4 (GAMA DR4), we make available our full spectroscopic redshift sample. This includes 248682 galaxy spectra, and, in combination with earli…
The Weak Lensing Radial Acceleration Relation: Constraining Modified Gravity and Cold Dark Matter theories with KiDS-1000
Margot M. Brouwer, Kyle A. Oman, Edwin A. Valentijn +22
We present measurements of the radial gravitational acceleration around isolated galaxies, comparing the expected gravitational acceleration given the baryonic matter with the obse…
Halo shapes constrained from a pure sample of central galaxies in KiDS-1000
Christos Georgiou, Henk Hoekstra, Konrad Kuijken +12
We present measurements of , the ratio of the aligned components of the projected halo and galaxy ellipticities, for a sample of central galaxies using weak gravitational lens…
Bright galaxy sample in the Kilo-Degree Survey Data Release 4: selection, photometric redshifts, and physical properties
M. Bilicki, A. Dvornik, H. Hoekstra +16
We present a bright galaxy sample with accurate and precise photometric redshifts (photo-zs), selected using photometry from the Kilo-Degree Survey (KiDS) Da…
New high-quality strong lens candidates with deep learning in the Kilo Degree Survey
R. Li, N. R. Napolitano, C. Tortora +11
We report new high-quality galaxy scale strong lens candidates found in the Kilo Degree Survey data release 4 using Machine Learning. We have developed a new Convolutional Neural N…