163 citations · 1.5k across the 57 of their papers we have counts for
58 papers
Systematic comparison of neural networks used in discovering strong gravitational lenses
Anupreeta More, Raoul Canameras, Anton T. Jaelani +6
Efficient algorithms are being developed to search for strong gravitational lens systems owing to increasing large imaging surveys. Neural networks have been successfully used to d…
Probing warm and mixed dark matter models using lensing shift power spectrum
Kaiki Taro Inoue, Takumi Shinohara, Teruaki Suyama +1
We argue that the lensing power spectrum of astrometric shift (lensing shift power spectrum) is a powerful tool of the clustering property of dark matter on subgalactic scales. Fir…
Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) X. Strong Lens Finding in The HSC-SSP using Convolutional Neural Networks
Anton T. Jaelani, Anupreeta More, Kenneth C. Wong +4
We apply a novel model based on convolutional neural networks (CNNs) to identify gravitationally-lensed galaxies in multi-band imaging of the Hyper Suprime Cam Subaru Strategic Pro…
Measuring Line-of-sight Distances to Haloes with Astrometric Lensing B-mode
Kaiki Taro Inoue
Relative astrometric shifts between multiply lensed images provide a valuable tool to investigate haloes in the intergalactic space. In strong lens systems in which a single lens p…
HOLISMOKES -- XI. Evaluation of supervised neural networks for strong-lens searches in ground-based imaging surveys
R. Canameras, S. Schuldt, Y. Shu +10
While supervised neural networks have become state of the art for identifying the rare strong gravitational lenses from large imaging data sets, their selection remains significant…
HOLISMOKES. VIII. High-redshift, strong-lens search in the Hyper Suprime-Cam Subaru Strategic Program
Yiping Shu, Raoul Cañameras, Stefan Schuldt +4
We carry out a search for strong-lens systems containing high-redshift lens galaxies with the goal of extending strong-lensing-assisted galaxy evolutionary studies to earlier cosmi…