269 citations · 1.3k across the 14 of their papers we have counts for
4 papers · 1 filter
Nature versus nurture in galaxy formation: the effect of environment on star formation with causal machine learning
Sunil Mucesh, William G. Hartley, Ciarán M. Gilligan-Lee +1
Understanding how galaxies form and evolve is at the heart of modern astronomy. With the advent of large-scale surveys and simulations, remarkable progress has been made in the las…
Finding high-redshift strong lenses in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +63
We search Dark Energy Survey (DES) Year 3 imaging data for galaxy-galaxy strong gravitational lenses using convolutional neural networks. We generate 250,000 simulated lenses at re…
The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. II. New quasar lenses from double component fitting
T. Anguita, P. L. Schechter, N. Kuropatkin +56
We report upon the follow up of 34 candidate lensed quasars found in the Dark Energy Survey using NTT-EFOSC, Magellan-IMACS, KECK-ESI and SOAR-SAMI. These candidates were selected…
Galaxy environment in the 3D-HST fields. Witnessing the onset of satellite quenching at z ~ 1-2
M. Fossati, D. J. Wilman, J. T. Mendel +25
We make publicly available a catalog of calibrated environmental measures for galaxies in the five 3D-HST/CANDELS deep fields. Leveraging the spectroscopic and grism redshifts from…