201 citations · 647 across the 31 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
astro-ph.GA2019★ 161 cited
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
Mike Walmsley, Lewis Smith, Chris Lintott +10
We use Bayesian convolutional neural networks and a novel generative model of Galaxy Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. Bayesian CNN…
astro-ph.GA2019★ 19 cited
The Effect of Minor and Major Mergers on the Evolution of Low Excitation Radio Galaxies
Yjan A. Gordon, Kevin A. Pimbblet, Sugata Kaviraj +8
We use deep, , -band imaging from the Dark Energy Camera Legacy Survey (DECaLS) to search for past, or ongoing, merger activit…
astro-ph.IM2019★ 1 cited
Modeling with the Crowd: Optimizing the Human-Machine Partnership with Zooniverse
Hugh Dickinson, Lucy Fortson, Claudia Scarlata +2
LSST and Euclid must address the daunting challenge of analyzing the unprecedented volumes of imaging and spectroscopic data that these next-generation instruments will generate. A…