146 citations · 347 across the 3 of their papers we have counts for
3 papers
astro-ph.GA2019★ 87 cited
Identifying Galaxy Mergers in Observations and Simulations with Deep Learning
W. J. Pearson, L. Wang, J. W. Trayford +2
Mergers are an important aspect of galaxy formation and evolution. We aim to test whether deep learning techniques can be used to reproduce visual classification of observations, p…
astro-ph.GA2019★ 114 cited
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…
astro-ph.GA2016★ 146 cited
The Herschel-ATLAS: a sample of 500μm-selected lensed galaxies over 600 square degrees
M. Negrello, S. Amber, A. Amvrosiadis +43
We present a sample of 80 candidate strongly lensed galaxies with flux density above 100mJy at 500μm extracted from the Herschel Astrophysical Terahertz Large Area Survey (H-ATLAS)…