7.7k citations · 33.9k across the 206 of their papers we have counts for
16 papers · 2 filters
KiDS+2dFLenS+GAMA: Testing the cosmological model with the statistic
A. Amon, C. Blake, C. Heymans +17
We present a new measurement of , which combines measurements of weak gravitational lensing, real-space galaxy clustering and redshift space distortions. This statistic…
Precise weak lensing constraints from deep high-resolution images: VLT/HAWK-I analysis of the super-massive galaxy cluster RCS2232727.7020437 at
Tim Schrabback, Mischa Schirmer, Remco F. J. van der Burg +16
We demonstrate that deep good-seeing VLT/HAWK-I images complemented with +-band photometry can yield a sensitivity for weak lensing studies of massive galaxy c…
KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics-I: Inference from Analytical Prediction of High Signal-to-Noise Ratio Convergence Peaks
HuanYuan Shan, Xiangkun Liu, Hendrik Hildebrandt +19
This paper is the first of a series of papers constraining cosmological parameters with weak lensing peak statistics using of imaging data from the Kilo Degree…
KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics - II: Inference from Shear Peaks using N-body Simulations
Nicolas Martinet, Peter Schneider, Hendrik Hildebrandt +12
We study the statistics of peaks in a weak lensing reconstructed mass map of the first 450 square degrees of the Kilo Degree Survey. The map is computed with aperture masses direct…
Weak lensing magnification of SpARCS galaxy clusters
A. Tudorica, H. Hildebrandt, M. Tewes +11
Measuring and calibrating relations between cluster observables is critical for resource-limited studies. The mass-richness relation of clusters offers an observationally inexpensi…
Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks
M. Bilicki, H. Hoekstra, M. J. I. Brown +24
We present a machine-learning photometric redshift analysis of the Kilo-Degree Survey Data Release 3, using two neural-network based techniques: ANNz2 and MLPQNA. Despite limited c…