26 citations · 42 across the 4 of their papers we have counts for
4 papers
Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations
Chen Qiu, Nicola R. Napolitano, Rui Li +12
Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed det…
Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks
Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +8
We present a sample of 16 likely strong gravitational lenses identified in the VST Optical Imaging of the CDFS and ES1 fields (VOICE survey) using Convolutional Neural Networks (CN…
Weak Lensing Study in VOICE Survey I: Shear Measurement
Liping Fu, Dezi Liu, Mario Radovich +15
The VST Optical Imaging of the CDFS and ES1 Fields (VOICE) Survey is a Guaranteed Time program carried out with the ESO/VST telescope to provide deep optical imaging over two 4 deg…
Mass-concentration relation of clusters of galaxies from CFHTLenS
Wei Du, Zuhui Fan, Huanyuan Shan +4
Based on weak lensing data from the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS), in this paper we study the mass-concentration (-) relation for redMaP…