322 citations · 436 across the 2 of their papers we have counts for
7 papers
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…
On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies
Benjamin Giblin, Matteo Cataneo, Ben Moews +1
We introduce an emulator approach to predict the non-linear matter power spectrum for broad classes of beyond-CDM cosmologies, using only a suite of CDM -body simulations.…
Cosmic Shear Covariance Matrix in CDM: Cosmology Matters
Joachim Harnois-Deraps, Benjamin Giblin, Benjamin Joachimi
We present here the cosmo-SLICS, a new suite of simulations specially designed for the analysis of current and upcoming weak lensing data beyond the standard two-point cosmic shear…
GAMA+KiDS: Alignment of galaxies in galaxy groups and its dependence on galaxy scale
Christos Georgiou, Nora Elisa Chisari, Maria Cristina Fortuna +11
Intrinsic galaxy alignments are a source of bias for weak lensing measurements as well as a tool for understanding galaxy formation and evolution. In this work, we measure the alig…
The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees
K. Kuijken, C. Heymans, A. Dvornik +20
The Kilo-Degree Survey (KiDS) is an ongoing optical wide-field imaging survey with the OmegaCAM camera at the VLT Survey Telescope, specifically designed for measuring weak gravita…
LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks
C. E. Petrillo, C. Tortora, G. Vernardos +17
We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses…