The amount and complexity of data delivered by modern galaxy surveys has been steadily
increasing over the past years. New facilities will soon provide imaging and spectra of …

An array of large observational programs using ground-based and space-borne telescopes
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …

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

Hydrodynamical cosmological simulations are increasing their level of realism by
considering more physical processes and having greater resolution or larger statistics …

In this paper, we develop a new unsupervised machine learning technique comprised of a
feature extractor, a convolutional autoencoder, and a clustering algorithm consisting of a …

We have carried out a systematic search for galaxy-scale strong lenses in multiband
imaging from the Hyper Suprime-Cam (HSC) survey. Our automated pipeline, based on …

Sky surveys are the largest data generators in astronomy, making automated tools for
extracting meaningful scientific information an absolute necessity. We show that, without the …

Context. The identification and characterization of low surface brightness (LSB) stellar
structures around galaxies such as tidal debris of ongoing or past collisions is essential to …

We explore unsupervised machine learning for galaxy morphology analyses using a
combination of feature extraction with a vector-quantized variational autoencoder (VQ-VAE) …

We present a detailed visual morphological classification for the 4614 MaNGA galaxies in
SDSS Data Release 15, using image mosaics generated from a combination of r band …