ABSTRACT We present Galaxy Zoo DECaLS: detailed visual morphological classifications
for Dark Energy Camera Legacy Survey images of galaxies within the SDSS DR8 footprint …

Quantifying image distortions caused by strong gravitational lensing—the formation of
multiple images of distant sources due to the deflection of their light by the gravity of …

Spirals in galaxies have long been thought to be caused by gravitational instability in the
stellar component of the disk, but discerning the precise mechanism had proved elusive …

We present Morpheus, a new model for generating pixel-level morphological classifications
of astronomical sources. Morpheus leverages advances in deep learning to perform source …

We propose a variant of residual networks (ResNets) for galaxy morphology classification.
The variant, together with other popular convolutional neural networks (CNNs), is applied to …

Galaxy morphology is a fundamental quantity, which is essential not only for the full
spectrum of galaxy-evolution studies, but also for a plethora of science in observational …

We present quantified visual morphologies of approximately 48,000 galaxies observed in
three Hubble Space Telescope legacy fields by the Cosmic And Near-infrared Deep …

We present a systematic search for wide-separation (with Einstein radius θ E≳ 1.5 ″),
galaxy-scale strong lenses in the 30 000 deg 2 of the Pan-STARRS 3π survey on the …

We present our search for strong lens, galaxy-scale systems in the first data release of the
Dark Energy Survey (DES), based on a color-selected parent sample of 18 745 029 …

Artificial intelligence methods show great promise in increasing the quality and speed of
work with large astronomical datasets, but the high complexity of these methods leads to the …