62 citations · 259 across the 17 of their papers we have counts for
5 papers · 1 filter
LeMoN: Lens Modelling with Neural networks -- I. Automated modelling of strong gravitational lenses with Bayesian Neural Networks
Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +4
The unprecedented number of gravitational lenses expected from new-generation facilities such as the ESA Euclid telescope and the Vera Rubin Observatory makes it crucial to rethink…
Galaxy-galaxy lensing in the VOICE deep survey
Ruibiao Luo, Liping Fu, Wentao Luo +11
The multi-band photometry of the VOICE imaging data, overlapping with 4.9 deg of the Chandra Deep Field South (CDFS) area, enables both shape measurement and photometric redshi…
Velocity-resolved Reverberation Mapping of Changing-look Active Galactic Nucleus NGC~4151 During Outburst Stage: Evidence for Kinematics Evolution of Broad-line Region
Sha-Sha Li, Hai-Cheng Feng, H. T. Liu +6
Changing-look active galactic nucleus NGC~4151, which has attracted a lot of attention, is undergoing the second dramatic outburst stage in its evolutionary history. To investigate…
Galaxy morphoto-Z with neural Networks (GaZNets). I. Optimized accuracy and outlier fraction from Imaging and Photometry
Rui Li, Nicola R. Napolitano, Haicheng Feng +8
In the era of large sky surveys, photometric redshifts (photo-z) represent crucial information for galaxy evolution and cosmology studies. In this work, we propose a new Machine Le…
Galaxy Spectra neural Networks (GaSNets). I. Searching for strong lens candidates in eBOSS spectra using Deep Learning
Fucheng Zhong, Rui Li, Nicola R. Napolitano
With the advent of new spectroscopic surveys from ground and space, observing up to hundreds of millions of galaxies, spectra classification will become overwhelming for standard a…